From 30409edf7b52b242632f01cdf84fa947249a2921 Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Mon, 15 Sep 2025 17:38:45 +0100 Subject: [PATCH 01/39] Omnibus PR (#1568) - Make load_dotenv() also look in ./.env, ../.env, ../../.env, all the way up till /.env - Misc minor cleanups - Remove out-of-spec get_related_terms() methods - Rename _terms_to_ordinal to _added terms in SqliteRelatedTermsFuzzy - Disable remove_term() -- it cannot work for now - Remove lookup fallback function - Simplify and correct RelatedTermsFuzzy table to just (term, embedding) - --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: gvanrossum-ms <184014243+gvanrossum-ms@users.noreply.github.com> --- TODO.md | 29 ++- test/test_conversation_metadata.py | 12 +- test/test_sqlite_indexes.py | 272 ++++++++++++++++++---- test/test_sqlite_indexes_coverage.py | 248 -------------------- test/test_sqlitestore.py | 11 +- test/test_storage_indexes.py | 54 ----- typeagent/aitools/embeddings.py | 11 +- typeagent/aitools/utils.py | 33 ++- typeagent/aitools/vectorbase.py | 6 +- typeagent/knowpro/searchlang.py | 2 - typeagent/storage/sqlite/provider.py | 7 +- typeagent/storage/sqlite/reltermsindex.py | 220 ++++++----------- typeagent/storage/sqlite/schema.py | 22 +- 13 files changed, 361 insertions(+), 566 deletions(-) delete mode 100644 test/test_sqlite_indexes_coverage.py delete mode 100644 test/test_storage_indexes.py diff --git a/TODO.md b/TODO.md index 2f304e8..2c69248 100644 --- a/TODO.md +++ b/TODO.md @@ -1,23 +1,40 @@ # TODO for the Python knowpro port -## TODOs for fully implementing persistence through SQLite +# TODOs for new repo setup + +- Merge newer changes from TypeAgent repo +- Vendor TypeChat (Python version) +- Update load_dotenv() to look for .env in current directory and going up (*plus* ts/.env) + +# TODOs for fully implementing persistence through SQLite ## Now -- **The "optimizations" have really screwed things up. Need to roll back some and start over. - I will do this manually rather than asking the agent to optimize my code.** -- Speed up loading indexes and collections from serialized (JSON-ish) data. -- Speed up loading indexes when populating fresh db from JSON +- Switch to (agents.md)[https://agents.md] + +- Vendor TypeChat + +- Start practicing PyPI releases + +- Scrutinize sqlite/reltermsindex.py +- Unify tests for storage APIs - Review the new storage code more carefully, adding notes here - Conversation id in conversation metadata table feels wrong - Conversation metadata isn't written -- needs a separate call -- Improve test coverage for search, searchlang, query +- Improve test coverage for search, searchlang, query, sqlite - Reduce code size - Make coding style more uniform (e.g. docstrings) - Document the highest-level API ## Also +- The aliases part of the related terms index is hard to understand because the + relationship between term and alias feels reversed: + We have dozens of aliases for "say", and these all show up as entries + like (term="talk", alias="say"), (term="discuss", alias="say"), etc. + My feeling (from the unix shell alias command) is that the term is "say" + and the alias is "talk", "discuss", etc. + (Not sure if the same is true for the fuzzy index, but I am confused there too.) - Make (de)serialize methods async in interfaces.py if they might execute SQL statements ## Knowledge extraction pipeline diff --git a/test/test_conversation_metadata.py b/test/test_conversation_metadata.py index 0f63467..77f2051 100644 --- a/test/test_conversation_metadata.py +++ b/test/test_conversation_metadata.py @@ -24,7 +24,7 @@ from typeagent.storage.sqlite.provider import SqliteStorageProvider from typeagent.storage.sqlite.schema import ConversationMetadata -from fixtures import embedding_model +from fixtures import embedding_model, temp_db_path # Dummy IMessage for testing @@ -38,16 +38,6 @@ def get_knowledge(self) -> KnowledgeResponse: raise NotImplementedError("Should not be called") -@pytest.fixture -def temp_db_path() -> Generator[str, None, None]: - """Create a temporary database file for testing.""" - fd, path = tempfile.mkstemp(suffix=".sqlite") - os.close(fd) - yield path - if os.path.exists(path): - os.remove(path) - - @pytest_asyncio.fixture async def storage_provider( temp_db_path: str, embedding_model: AsyncEmbeddingModel diff --git a/test/test_sqlite_indexes.py b/test/test_sqlite_indexes.py index f756a0b..ac151e1 100644 --- a/test/test_sqlite_indexes.py +++ b/test/test_sqlite_indexes.py @@ -4,13 +4,14 @@ """Tests for SQLite index implementations with real embeddings.""" import sqlite3 -import tempfile -import os from typing import Generator + import pytest from typeagent.aitools.embeddings import AsyncEmbeddingModel from typeagent.aitools.vectorbase import TextEmbeddingIndexSettings + +from typeagent.knowpro.convsettings import MessageTextIndexSettings from typeagent.knowpro import interfaces from typeagent.knowpro.interfaces import ( SemanticRef, @@ -19,27 +20,25 @@ Topic, Term, ) -from typeagent.storage.sqlite.semrefindex import SqliteTermToSemanticRefIndex + +from typeagent.storage.sqlite.messageindex import SqliteMessageTextIndex from typeagent.storage.sqlite.propindex import SqlitePropertyIndex -from typeagent.storage.sqlite.timestampindex import SqliteTimestampToTextRangeIndex from typeagent.storage.sqlite.reltermsindex import ( SqliteRelatedTermsAliases, SqliteRelatedTermsFuzzy, SqliteRelatedTermsIndex, ) from typeagent.storage.sqlite.schema import init_db_schema +from typeagent.storage.sqlite.semrefindex import SqliteTermToSemanticRefIndex +from typeagent.storage.sqlite.timestampindex import SqliteTimestampToTextRangeIndex -from fixtures import needs_auth, embedding_model +from fixtures import needs_auth, embedding_model, temp_db_path @pytest.fixture -def temp_db_path() -> Generator[str, None, None]: - """Create a temporary SQLite database file.""" - fd, path = tempfile.mkstemp(suffix=".sqlite") - os.close(fd) - yield path - if os.path.exists(path): - os.remove(path) +def embedding_settings(embedding_model: AsyncEmbeddingModel) -> TextEmbeddingIndexSettings: + """Create TextEmbeddingIndexSettings for testing.""" + return TextEmbeddingIndexSettings(embedding_model) @pytest.fixture @@ -223,19 +222,6 @@ async def test_aliases_operations(self, sqlite_db: sqlite3.Connection): assert "machine learning" in term_texts assert "ML" in term_texts - # Get related terms - related = await index.get_related_terms("ai") - assert related is not None - assert len(related) == 3 - - # Set related terms (replace existing) - await index.set_related_terms("ai", ["neural networks", "deep learning"]) - related = await index.get_related_terms("ai") - assert related is not None - assert len(related) == 2 - assert "neural networks" in related - assert "deep learning" in related - @pytest.mark.asyncio async def test_serialize_deserialize(self, sqlite_db: sqlite3.Connection): """Test serialization and deserialization of aliases.""" @@ -265,14 +251,6 @@ async def test_serialize_deserialize(self, sqlite_db: sqlite3.Connection): assert not await index.is_empty() assert await index.size() == 2 - ai_related = await index.get_related_terms("ai") - assert ai_related is not None - assert len(ai_related) == 2 - - python_related = await index.get_related_terms("python") - assert python_related is not None - assert len(python_related) == 1 - class TestSqliteRelatedTermsFuzzy: """Test SqliteRelatedTermsFuzzy with real embeddings.""" @@ -281,11 +259,11 @@ class TestSqliteRelatedTermsFuzzy: async def test_fuzzy_operations( self, sqlite_db: sqlite3.Connection, - embedding_model: AsyncEmbeddingModel, + embedding_settings: TextEmbeddingIndexSettings, needs_auth: None, ): """Test fuzzy operations with real embeddings.""" - index = SqliteRelatedTermsFuzzy(sqlite_db, embedding_model) + index = SqliteRelatedTermsFuzzy(sqlite_db, embedding_settings) # Initially empty assert await index.size() == 0 @@ -317,11 +295,11 @@ async def test_fuzzy_operations( async def test_fuzzy_deserialize( self, sqlite_db: sqlite3.Connection, - embedding_model: AsyncEmbeddingModel, + embedding_settings: TextEmbeddingIndexSettings, needs_auth: None, ): """Test deserialization of fuzzy index data - the critical fix we made.""" - index = SqliteRelatedTermsFuzzy(sqlite_db, embedding_model) + index = SqliteRelatedTermsFuzzy(sqlite_db, embedding_settings) # Create test data similar to what would be in JSON text_items = ["chess", "artificial intelligence", "machine learning"] @@ -329,7 +307,7 @@ async def test_fuzzy_deserialize( # Create embeddings data (simulate what VectorBase would serialize) from typeagent.aitools.vectorbase import VectorBase - settings = TextEmbeddingIndexSettings(embedding_model) + settings = TextEmbeddingIndexSettings(embedding_settings.embedding_model) temp_vectorbase = VectorBase(settings) # Add embeddings to the vector base using add_key @@ -364,11 +342,11 @@ async def test_fuzzy_deserialize( async def test_fuzzy_lookup_edge_cases( self, sqlite_db: sqlite3.Connection, - embedding_model: AsyncEmbeddingModel, + embedding_settings: TextEmbeddingIndexSettings, needs_auth: None, ): """Test edge cases in fuzzy lookup.""" - index = SqliteRelatedTermsFuzzy(sqlite_db, embedding_model) + index = SqliteRelatedTermsFuzzy(sqlite_db, embedding_settings) # Empty index results = await index.lookup_term("anything") @@ -377,10 +355,9 @@ async def test_fuzzy_lookup_edge_cases( # Add a term await index.add_terms(["test term"]) - # Exact match should be filtered out (self-match) + # Exact match should return score 1.0 results = await index.lookup_term("test term", min_score=0.0) - # Should not return the exact same term - assert not any(term.text == "test term" for term in results) + assert any(term.text == "test term" for term in results) # Test with multiple terms and verify behavior results = await index.lookup_term("xyzabc123") @@ -397,11 +374,11 @@ class TestSqliteRelatedTermsIndex: async def test_combined_index_basic( self, sqlite_db: sqlite3.Connection, - embedding_model: AsyncEmbeddingModel, + embedding_settings: TextEmbeddingIndexSettings, needs_auth: None, ): """Test the combined related terms index basic functionality.""" - index = SqliteRelatedTermsIndex(sqlite_db, embedding_model) + index = SqliteRelatedTermsIndex(sqlite_db, embedding_settings) # Test that both sub-indexes are accessible assert index.aliases is not None @@ -431,7 +408,7 @@ class TestRegressionPrevention: async def test_fuzzy_index_first_run_scenario( self, sqlite_db: sqlite3.Connection, - embedding_model: AsyncEmbeddingModel, + embedding_settings: TextEmbeddingIndexSettings, needs_auth: None, ): """ @@ -441,7 +418,7 @@ async def test_fuzzy_index_first_run_scenario( This test prevents the regression where SQLite deserialize was a no-op. """ # Create a fresh fuzzy index - index = SqliteRelatedTermsFuzzy(sqlite_db, embedding_model) + index = SqliteRelatedTermsFuzzy(sqlite_db, embedding_settings) # Simulate JSON data that would be loaded on first run # This represents the scenario where we have podcast data with pre-computed embeddings @@ -455,7 +432,7 @@ async def test_fuzzy_index_first_run_scenario( # Create embeddings as they would exist in the JSON from typeagent.aitools.vectorbase import VectorBase - settings = TextEmbeddingIndexSettings(embedding_model) + settings = TextEmbeddingIndexSettings(embedding_settings.embedding_model) temp_vectorbase = VectorBase(settings) for text in text_items: @@ -491,3 +468,202 @@ async def test_fuzzy_index_first_run_scenario( "grandmaster", max_hits=10, min_score=0.1 ) assert len(magnus_results) > 0, "Should find results for grandmaster query" + + +class TestSqliteIndexesEdgeCases: + """Test edge cases and error conditions in SQLite indexes.""" + + @pytest.mark.asyncio + async def test_term_index_edge_cases(self, sqlite_db: sqlite3.Connection): + """Test edge cases in term index.""" + index = SqliteTermToSemanticRefIndex(sqlite_db) + assert await index.size() == 0 + + # Test with None/empty lookups + results = await index.lookup_term("") + assert results == [] + assert await index.size() == 0 + + # Test removing terms + await index.add_term("remove_test", 1) + assert await index.size() == 1 + await index.remove_term("remove_test", 1) + results = await index.lookup_term("remove_test") + assert results == [] + assert await index.size() == 0 + + # Test clearing + await index.add_term("clear_test", 2) + assert await index.size() == 1 + await index.clear() + assert await index.size() == 0 + + @pytest.mark.asyncio + async def test_property_index_edge_cases(self, sqlite_db: sqlite3.Connection): + """Test edge cases in property index.""" + index = SqlitePropertyIndex(sqlite_db) + + # Test lookup of non-existent property + results = await index.lookup_property("nonexistent", "value") + assert results is None + + # Test removal operations + await index.add_property("test_prop", "test_value", 1) + results = await index.lookup_property("test_prop", "test_value") + assert results is not None + assert len(results) == 1 + await index.remove_property("test_prop", 1) + results = await index.lookup_property("test_prop", "test_value") + assert results is None + + # Test remove all for semref + await index.add_property("prop1", "val1", 2) + await index.add_property("prop2", "val2", 2) + await index.remove_all_for_semref(2) + results1 = await index.lookup_property("prop1", "val1") + results2 = await index.lookup_property("prop2", "val2") + assert results1 is None + assert results2 is None + + @pytest.mark.asyncio + async def test_related_terms_aliases_edge_cases( + self, sqlite_db: sqlite3.Connection + ): + """Test edge cases in aliases.""" + index = SqliteRelatedTermsAliases(sqlite_db) + + # Test lookup of non-existent term + results = await index.lookup_term("nonexistent") + assert results is None + + # Test adding different types of related terms + await index.add_related_term("test", Term("string_term")) # Term object + await index.add_related_term("test", Term("term_object")) # Term object + await index.add_related_term("test", [Term("list_term")]) # list + + # Test deserialize with None data + await index.deserialize(None) + # Should not crash + + # Test deserialize with empty data + await index.deserialize({"relatedTerms": []}) + + # Test with properly formatted data + from typeagent.knowpro.interfaces import TermToRelatedTermsData + + formatted_data: TermToRelatedTermsData = { + "relatedTerms": [ + {"termText": "test", "relatedTerms": []}, # valid but empty + {"termText": "orphan", "relatedTerms": [{"text": "related"}]}, # valid + ] + } + await index.deserialize(formatted_data) + + @pytest.mark.asyncio + async def test_fuzzy_index_edge_cases( + self, + sqlite_db: sqlite3.Connection, + embedding_settings: TextEmbeddingIndexSettings, + needs_auth: None, + ): + """Test edge cases in fuzzy index.""" + index = SqliteRelatedTermsFuzzy(sqlite_db, embedding_settings) + + # Test with empty embeddings + await index.add_terms([]) # Empty list + assert await index.size() == 0 + + # Test lookup_terms (plural) method + results_list = await index.lookup_terms(["test1", "test2"], max_hits=5) + assert len(results_list) == 2 + assert all(isinstance(results, list) for results in results_list) + + # Test deserialize with various data formats + from typeagent.knowpro.interfaces import TextEmbeddingIndexData + + # Valid data with None embeddings + valid_data1: TextEmbeddingIndexData = { + "textItems": ["test"], + "embeddings": None, + } + await index.deserialize(valid_data1) + + # Valid data with empty text items + valid_data2: TextEmbeddingIndexData = {"textItems": [], "embeddings": None} + await index.deserialize(valid_data2) + + @pytest.mark.asyncio + async def test_message_text_index_basic( + self, + sqlite_db: sqlite3.Connection, + embedding_settings: TextEmbeddingIndexSettings, + needs_auth: None, + ): + """Test basic operations of message text index.""" + # Create settings + embedding_settings_local = TextEmbeddingIndexSettings(embedding_settings.embedding_model) + settings = MessageTextIndexSettings(embedding_settings_local) + + index = SqliteMessageTextIndex(sqlite_db, settings) + + # Test initial state + assert await index.size() == 0 + + # Test lookup_text on empty index + results = await index.lookup_text("test query", max_matches=5) + assert results == [] + + # Create some mock messages for testing + from fixtures import FakeMessage + from typeagent.knowpro.interfaces import IMessage + + messages: list[IMessage] = [ + FakeMessage(text_chunks=["First test message", "Second chunk"]), + FakeMessage(text_chunks=["Another message"]), + ] + + # Add messages using the proper method + await index.add_messages_starting_at(0, messages) + + # After adding messages, size should be > 0 + size = await index.size() + assert size > 0 + + # Test lookup with real text + results = await index.lookup_text("test message", max_matches=5) + assert isinstance(results, list) + + # Test is_empty method + assert not await index.is_empty() + + # Test clear and verify it's empty + await index.clear() + assert await index.size() == 0 + assert await index.is_empty() + + @pytest.mark.asyncio + async def test_serialization_edge_cases( + self, + sqlite_db: sqlite3.Connection, + embedding_settings: TextEmbeddingIndexSettings, + needs_auth: None, + ): + """Test serialization edge cases.""" + fuzzy_index = SqliteRelatedTermsFuzzy(sqlite_db, embedding_settings) + + # Test serialization of empty index + # Note: fuzzy index doesn't implement serialize (returns empty for SQLite) + # But test that calling it doesn't crash + # This would be implemented if needed + + # Test fuzzy index with some data then clear + await fuzzy_index.add_terms(["test1", "test2"]) + await fuzzy_index.clear() + assert await fuzzy_index.size() == 0 + + # Test remove_term + # TODO: Implement remove_term properly before enabling this test + # await fuzzy_index.add_terms(["remove_me"]) + # await fuzzy_index.remove_term("remove_me") + # results = await fuzzy_index.lookup_term("remove_me") + # assert results == [] diff --git a/test/test_sqlite_indexes_coverage.py b/test/test_sqlite_indexes_coverage.py deleted file mode 100644 index b6e858f..0000000 --- a/test/test_sqlite_indexes_coverage.py +++ /dev/null @@ -1,248 +0,0 @@ -# Copyright (c) Microsoft Corporation. -# Licensed under the MIT License. - -"""Additional tests for SQLite indexes to improve coverage.""" - -import sqlite3 -import tempfile -import os -from typing import Generator -import pytest -import pytest_asyncio - -from typeagent.aitools.embeddings import AsyncEmbeddingModel -from typeagent.aitools.vectorbase import TextEmbeddingIndexSettings -from typeagent.knowpro import interfaces -from typeagent.knowpro.interfaces import ( - SemanticRef, - TextLocation, - TextRange, - Topic, - Term, -) -from typeagent.storage.sqlite.semrefindex import SqliteTermToSemanticRefIndex -from typeagent.storage.sqlite.propindex import SqlitePropertyIndex -from typeagent.storage.sqlite.reltermsindex import ( - SqliteRelatedTermsAliases, - SqliteRelatedTermsFuzzy, -) -from typeagent.storage.sqlite.messageindex import SqliteMessageTextIndex -from typeagent.storage.sqlite.schema import init_db_schema -from typeagent.knowpro.convsettings import MessageTextIndexSettings - -from fixtures import needs_auth, embedding_model - - -@pytest.fixture -def temp_db_path() -> Generator[str, None, None]: - """Create a temporary SQLite database file.""" - fd, path = tempfile.mkstemp(suffix=".sqlite") - os.close(fd) - yield path - if os.path.exists(path): - os.remove(path) - - -@pytest.fixture -def sqlite_db(temp_db_path: str) -> Generator[sqlite3.Connection, None, None]: - """Create and initialize a SQLite database connection.""" - db = sqlite3.connect(temp_db_path) - init_db_schema(db) - yield db - db.close() - - -class TestSqliteIndexesEdgeCases: - """Test edge cases and error conditions in SQLite indexes.""" - - @pytest.mark.asyncio - async def test_term_index_edge_cases(self, sqlite_db: sqlite3.Connection): - """Test edge cases in term index.""" - index = SqliteTermToSemanticRefIndex(sqlite_db) - - # Test with None/empty lookups - results = await index.lookup_term("") - assert results == [] - - # Test removing terms - await index.add_term("remove_test", 1) - await index.remove_term("remove_test", 1) - results = await index.lookup_term("remove_test") - assert results == [] - - # Test clearing - await index.add_term("clear_test", 2) - await index.clear() - assert await index.size() == 0 - - @pytest.mark.asyncio - async def test_property_index_edge_cases(self, sqlite_db: sqlite3.Connection): - """Test edge cases in property index.""" - index = SqlitePropertyIndex(sqlite_db) - - # Test lookup of non-existent property - results = await index.lookup_property("nonexistent", "value") - assert results is None - - # Test removal operations - await index.add_property("test_prop", "test_value", 1) - await index.remove_property("test_prop", 1) - results = await index.lookup_property("test_prop", "test_value") - assert results is None - - # Test remove all for semref - await index.add_property("prop1", "val1", 2) - await index.add_property("prop2", "val2", 2) - await index.remove_all_for_semref(2) - - results1 = await index.lookup_property("prop1", "val1") - results2 = await index.lookup_property("prop2", "val2") - assert results1 is None - assert results2 is None - - @pytest.mark.asyncio - async def test_related_terms_aliases_edge_cases( - self, sqlite_db: sqlite3.Connection - ): - """Test edge cases in aliases.""" - index = SqliteRelatedTermsAliases(sqlite_db) - - # Test lookup of non-existent term - results = await index.lookup_term("nonexistent") - assert results is None - - # Test adding different types of related terms - await index.add_related_term("test", Term("string_term")) # Term object - await index.add_related_term("test", Term("term_object")) # Term object - await index.add_related_term("test", [Term("list_term")]) # list - - related = await index.get_related_terms("test") - assert related is not None - assert len(related) == 3 - - # Test deserialize with None data - await index.deserialize(None) - # Should not crash - - # Test deserialize with empty data - await index.deserialize({"relatedTerms": []}) - - # Test with properly formatted data - from typeagent.knowpro.interfaces import TermToRelatedTermsData - - formatted_data: TermToRelatedTermsData = { - "relatedTerms": [ - {"termText": "test", "relatedTerms": []}, # valid but empty - {"termText": "orphan", "relatedTerms": [{"text": "related"}]}, # valid - ] - } - await index.deserialize(formatted_data) - - @pytest.mark.asyncio - async def test_fuzzy_index_edge_cases( - self, - sqlite_db: sqlite3.Connection, - embedding_model: AsyncEmbeddingModel, - needs_auth: None, - ): - """Test edge cases in fuzzy index.""" - index = SqliteRelatedTermsFuzzy(sqlite_db, embedding_model) - - # Test with empty embeddings - await index.add_terms([]) # Empty list - assert await index.size() == 0 - - # Test lookup_terms (plural) method - results_list = await index.lookup_terms(["test1", "test2"], max_hits=5) - assert len(results_list) == 2 - assert all(isinstance(results, list) for results in results_list) - - # Test deserialize with various data formats - from typeagent.knowpro.interfaces import TextEmbeddingIndexData - - # Valid data with None embeddings - valid_data1: TextEmbeddingIndexData = { - "textItems": ["test"], - "embeddings": None, - } - await index.deserialize(valid_data1) - - # Valid data with empty text items - valid_data2: TextEmbeddingIndexData = {"textItems": [], "embeddings": None} - await index.deserialize(valid_data2) - - @pytest.mark.asyncio - async def test_message_text_index_basic( - self, - sqlite_db: sqlite3.Connection, - embedding_model: AsyncEmbeddingModel, - needs_auth: None, - ): - """Test basic operations of message text index.""" - # Create settings - embedding_settings = TextEmbeddingIndexSettings(embedding_model) - settings = MessageTextIndexSettings(embedding_settings) - - index = SqliteMessageTextIndex(sqlite_db, settings) - - # Test initial state - assert await index.size() == 0 - - # Test lookup_text on empty index - results = await index.lookup_text("test query", max_matches=5) - assert results == [] - - # Create some mock messages for testing - from fixtures import FakeMessage - from typeagent.knowpro.interfaces import IMessage - - messages: list[IMessage] = [ - FakeMessage(text_chunks=["First test message", "Second chunk"]), - FakeMessage(text_chunks=["Another message"]), - ] - - # Add messages using the proper method - await index.add_messages_starting_at(0, messages) - - # After adding messages, size should be > 0 - size = await index.size() - assert size > 0 - - # Test lookup with real text - results = await index.lookup_text("test message", max_matches=5) - assert isinstance(results, list) - - # Test is_empty method - assert not await index.is_empty() - - # Test clear and verify it's empty - await index.clear() - assert await index.size() == 0 - assert await index.is_empty() - - @pytest.mark.asyncio - async def test_serialization_edge_cases( - self, - sqlite_db: sqlite3.Connection, - embedding_model: AsyncEmbeddingModel, - needs_auth: None, - ): - """Test serialization edge cases.""" - fuzzy_index = SqliteRelatedTermsFuzzy(sqlite_db, embedding_model) - - # Test serialization of empty index - # Note: fuzzy index doesn't implement serialize (returns empty for SQLite) - # But test that calling it doesn't crash - # This would be implemented if needed - - # Test fuzzy index with some data then clear - await fuzzy_index.add_terms(["test1", "test2"]) - await fuzzy_index.clear() - assert await fuzzy_index.size() == 0 - - # Test remove_term - # TODO: Implement remove_term properly before enabling this test - # await fuzzy_index.add_terms(["remove_me"]) - # await fuzzy_index.remove_term("remove_me") - # results = await fuzzy_index.lookup_term("remove_me") - # assert results == [] diff --git a/test/test_sqlitestore.py b/test/test_sqlitestore.py index 629d486..a2e1ef7 100644 --- a/test/test_sqlitestore.py +++ b/test/test_sqlitestore.py @@ -25,7 +25,7 @@ from typeagent.knowpro.convsettings import RelatedTermIndexSettings from typeagent.storage import SqliteStorageProvider -from fixtures import embedding_model, FakeMessage +from fixtures import embedding_model, FakeMessage, temp_db_path # Dummy IMessage for testing @@ -71,15 +71,6 @@ def make_dummy_semantic_ref(ordinal: int = 0) -> SemanticRef: ) -@pytest.fixture -def temp_db_path() -> Generator[str, None, None]: - fd, path = tempfile.mkstemp(suffix=".sqlite") - os.close(fd) - yield path - if os.path.exists(path): - os.remove(path) - - @pytest.mark.asyncio async def test_sqlite_message_collection_append_and_get( dummy_sqlite_storage_provider: SqliteStorageProvider[DummyMessage], diff --git a/test/test_storage_indexes.py b/test/test_storage_indexes.py deleted file mode 100644 index 612369f..0000000 --- a/test/test_storage_indexes.py +++ /dev/null @@ -1,54 +0,0 @@ -# Copyright (c) Microsoft Corporation. -# Licensed under the MIT License. - -import pytest - -from fixtures import needs_auth, memory_storage, embedding_model # type: ignore # It's used! -from typeagent.aitools.embeddings import AsyncEmbeddingModel, TEST_MODEL_NAME -from typeagent.aitools.vectorbase import TextEmbeddingIndexSettings -from typeagent.knowpro.convsettings import MessageTextIndexSettings -from typeagent.knowpro.convsettings import RelatedTermIndexSettings -from typeagent.storage.memory import MemoryStorageProvider - - -@pytest.mark.asyncio -async def test_all_index_creation( - memory_storage: MemoryStorageProvider, needs_auth: None -): - """Test that all 6 index types are created and accessible.""" - # storage fixture already initializes indexes - - # Test all index types are created and return objects - conv_index = await memory_storage.get_semantic_ref_index() - assert conv_index is not None - - prop_index = await memory_storage.get_property_index() - assert prop_index is not None - - time_index = await memory_storage.get_timestamp_index() - assert time_index is not None - - msg_index = await memory_storage.get_message_text_index() - assert msg_index is not None - - rel_index = await memory_storage.get_related_terms_index() - assert rel_index is not None - - threads = await memory_storage.get_conversation_threads() - assert threads is not None - - -@pytest.mark.asyncio -async def test_index_persistence( - memory_storage: MemoryStorageProvider, needs_auth: None -): - """Test that same index instance is returned across calls.""" - # storage fixture already initializes indexes - - # All index types should return same instance across calls - conv1 = await memory_storage.get_semantic_ref_index() - conv2 = await memory_storage.get_semantic_ref_index() - assert conv1 is conv2 - - prop1 = await memory_storage.get_property_index() - prop2 = await memory_storage.get_property_index() diff --git a/typeagent/aitools/embeddings.py b/typeagent/aitools/embeddings.py index fb66873..fbdb87c 100644 --- a/typeagent/aitools/embeddings.py +++ b/typeagent/aitools/embeddings.py @@ -10,6 +10,7 @@ from openai import AsyncOpenAI, AsyncAzureOpenAI, OpenAIError from .auth import get_shared_token_provider, AzureTokenProvider +from .utils import timelog type NormalizedEmbedding = NDArray[np.float32] # A single embedding type NormalizedEmbeddings = NDArray[np.float32] # An array of embeddings @@ -76,11 +77,11 @@ def __init__( openai_key_name = "OPENAI_API_KEY" azure_key_name = "AZURE_OPENAI_API_KEY" if os.getenv(openai_key_name): - print(f"Using OpenAI") - self.async_client = AsyncOpenAI() + with timelog(f"Using OpenAI"): + self.async_client = AsyncOpenAI() elif azure_api_key := os.getenv(azure_key_name): - print("Using Azure OpenAI") - self._setup_azure(azure_api_key) + with timelog("Using Azure OpenAI"): + self._setup_azure(azure_api_key) else: raise ValueError( f"Neither {openai_key_name} nor {azure_key_name} found in environment." @@ -130,7 +131,7 @@ async def refresh_auth(self): def add_embedding(self, key: str, embedding: NormalizedEmbedding) -> None: existing = self._embedding_cache.get(key) if existing is not None: - assert existing == embedding + assert np.array_equal(existing, embedding) else: self._embedding_cache[key] = embedding diff --git a/typeagent/aitools/utils.py b/typeagent/aitools/utils.py index 009a3ad..396de24 100644 --- a/typeagent/aitools/utils.py +++ b/typeagent/aitools/utils.py @@ -71,14 +71,31 @@ def reindent(text: str) -> str: def load_dotenv() -> None: """Load environment variables from '/ta/.env'.""" - dn = os.path.dirname - repo_root = dn(dn(dn(dn(dn(__file__))))) # python/ta/typeagent/aitools/utils.py - env_path = os.path.join(repo_root, "ts", ".env") - dotenv.load_dotenv(env_path) - # for k, v in os.environ.items(): - # if "KEY" in k: - # print(f"{k}={v!r}") - # print(f"Loaded {env_path}") + paths = [] + # Look for /ts/.env first. + repo_root = os.popen("git rev-parse --show-toplevel").read().strip() + if repo_root: + env_path = os.path.join(repo_root, "ts", ".env") + if os.path.exists(env_path): + paths.append(env_path) + + # Also look in current directory and going up. + cur_dir = os.path.abspath(os.getcwd()) + while True: + paths.append(os.path.join(cur_dir, ".env")) + parent_dir = os.path.dirname(cur_dir) + if parent_dir == cur_dir: + break # Reached filesystem root ('/'). + cur_dir = parent_dir + + env_path = None + for path in paths: + # Filter out non-existing paths. + if os.path.exists(path): + env_path = path + break + if env_path: + dotenv.load_dotenv(env_path) def create_translator[T]( diff --git a/typeagent/aitools/vectorbase.py b/typeagent/aitools/vectorbase.py index afe8a90..3466ed6 100644 --- a/typeagent/aitools/vectorbase.py +++ b/typeagent/aitools/vectorbase.py @@ -90,9 +90,7 @@ def add_embeddings(self, embeddings: NormalizedEmbeddings) -> None: self._vectors = np.concatenate((self._vectors, embeddings), axis=0) async def add_key(self, key: str, cache: bool = True) -> None: - embeddings = (await self.get_embedding(key, cache=cache)).reshape( - 1, -1 - ) # Make it 2D + embeddings = (await self.get_embedding(key, cache=cache)).reshape(1, -1) self._vectors = np.append(self._vectors, embeddings, axis=0) async def add_keys(self, keys: list[str], cache: bool = True) -> None: @@ -120,7 +118,7 @@ def fuzzy_lookup_embedding( scored_ordinals.sort(key=lambda x: x.score, reverse=True) return scored_ordinals[:max_hits] - # TODO: Make this and fizzy_lookup_embedding() more similar. + # TODO: Make this and fuzzy_lookup_embedding() more similar. def fuzzy_lookup_embedding_in_subset( self, embedding: NormalizedEmbedding, diff --git a/typeagent/knowpro/searchlang.py b/typeagent/knowpro/searchlang.py index 04bb174..f00d80e 100644 --- a/typeagent/knowpro/searchlang.py +++ b/typeagent/knowpro/searchlang.py @@ -480,8 +480,6 @@ def compile_action_term( return term_group def compile_subject_and_verb(self, action_term: ActionTerm) -> SearchTermGroup: - term_group = SearchTermGroup("and") - self.add_subject_to_group(action_term, term_group) term_group = SearchTermGroup("and") self.add_subject_to_group(action_term, term_group) if action_term.action_verbs is not None: diff --git a/typeagent/storage/sqlite/provider.py b/typeagent/storage/sqlite/provider.py index 3e7d73f..1ce57ea 100644 --- a/typeagent/storage/sqlite/provider.py +++ b/typeagent/storage/sqlite/provider.py @@ -98,11 +98,10 @@ def __init__( self.message_text_index_settings, self._message_collection, ) - # Initialize related terms index with embedding model for persistent embeddings - embedding_model = ( - self.related_term_index_settings.embedding_index_settings.embedding_model + # Initialize related terms index + self._related_terms_index = SqliteRelatedTermsIndex( + self.db, self.related_term_index_settings.embedding_index_settings ) - self._related_terms_index = SqliteRelatedTermsIndex(self.db, embedding_model) # Connect message collection to message text index for automatic indexing self._message_collection.set_message_text_index(self._message_text_index) diff --git a/typeagent/storage/sqlite/reltermsindex.py b/typeagent/storage/sqlite/reltermsindex.py index 80f536f..92d740e 100644 --- a/typeagent/storage/sqlite/reltermsindex.py +++ b/typeagent/storage/sqlite/reltermsindex.py @@ -4,12 +4,13 @@ """SQLite-based related terms index implementations.""" import sqlite3 -import typing -from ...aitools.embeddings import AsyncEmbeddingModel +from ...aitools.embeddings import AsyncEmbeddingModel, NormalizedEmbeddings from ...aitools.vectorbase import TextEmbeddingIndexSettings, VectorBase from ...knowpro import interfaces +from .schema import serialize_embedding, deserialize_embedding + class SqliteRelatedTermsAliases(interfaces.ITermToRelatedTerms): """SQLite-backed implementation of term to related terms aliases.""" @@ -46,12 +47,6 @@ async def clear(self) -> None: cursor = self.db.cursor() cursor.execute("DELETE FROM RelatedTermsAliases") - async def get_related_terms(self, term: str) -> list[str] | None: - cursor = self.db.cursor() - cursor.execute("SELECT alias FROM RelatedTermsAliases WHERE term = ?", (term,)) - results = [row[0] for row in cursor.fetchall()] - return results if results else None - async def set_related_terms(self, term: str, related_terms: list[str]) -> None: cursor = self.db.cursor() # Clear existing aliases for this term @@ -137,17 +132,27 @@ async def deserialize(self, data: interfaces.TermToRelatedTermsData | None) -> N class SqliteRelatedTermsFuzzy(interfaces.ITermToRelatedTermsFuzzy): """SQLite-backed implementation of fuzzy term relationships with persistent embeddings.""" - # TODO: Require settings to be passed in so embedding_model doesn't need to be. - def __init__(self, db: sqlite3.Connection, embedding_model: AsyncEmbeddingModel): + def __init__(self, db: sqlite3.Connection, settings: TextEmbeddingIndexSettings): self.db = db - # Create a VectorBase for caching and fuzzy matching - self._embedding_settings = TextEmbeddingIndexSettings(embedding_model) + self._embedding_settings = settings self._vector_base = VectorBase(self._embedding_settings) - # Keep reference to embedding model for direct access if needed - self._embedding_model = embedding_model # Maintain our own list of terms to map ordinals back to keys - self._terms_list: list[str] = [] - self._terms_to_ordinal: dict[str, int] = {} + self._terms_list: list[str] = [] # TODO: Use the database instead? + self._added_terms: set[str] = set() # TODO: Ditto? + # If items exist in the db, copy them into the VectorBase, terms list, and added terms + if self._size() > 0: + cursor = self.db.cursor() + cursor.execute( + "SELECT term, term_embedding FROM RelatedTermsFuzzy ORDER BY term" + ) + rows = cursor.fetchall() + for term, blob in rows: + assert blob is not None, term + embedding: NormalizedEmbeddings = deserialize_embedding(blob) + # Add to VectorBase at the correct ordinal + self._vector_base.add_embedding(term, embedding) + self._terms_list.append(term) + self._added_terms.add(term) async def lookup_term( self, @@ -157,164 +162,77 @@ async def lookup_term( ) -> list[interfaces.Term]: """Look up similar terms using fuzzy matching.""" - # Use VectorBase for fuzzy embedding search instead of manual similarity calculation - try: - # Search for similar terms using VectorBase - similar_results = await self._vector_base.fuzzy_lookup( - text, max_hits=max_hits, min_score=min_score or 0.7 - ) - - # Convert VectorBase results to Term objects - results = [] - for scored_int in similar_results: - # Get the term text from our ordinal mapping - if scored_int.item < len(self._terms_list): - term_text = self._terms_list[scored_int.item] - - # Skip exact self-match - if term_text == text and abs(scored_int.score - 1.0) < 0.001: - continue - - results.append(interfaces.Term(term_text, scored_int.score)) - - return results - - except Exception: - # Fallback to direct database query if VectorBase fails - return await self._lookup_term_fallback(text, max_hits, min_score) - - async def _lookup_term_fallback( - self, - text: str, - max_hits: int | None = None, - min_score: float | None = None, - ) -> list[interfaces.Term]: - """Fallback method using direct embedding comparison.""" - # Generate embedding for query text - query_embedding = await self._embedding_model.get_embedding(text) - if query_embedding is None: - return [] - - # Get all stored terms and their embeddings - cursor = self.db.cursor() - cursor.execute( - "SELECT DISTINCT term, term_embedding FROM RelatedTermsFuzzy WHERE term_embedding IS NOT NULL" + # Search for similar terms using VectorBase + similar_results = await self._vector_base.fuzzy_lookup( + text, max_hits=max_hits, min_score=min_score ) + # Convert VectorBase results to Term objects results = [] - from .schema import deserialize_embedding - import numpy as np - - for term, embedding_blob in cursor.fetchall(): - if embedding_blob is None: - continue - - # Deserialize the stored embedding - stored_embedding = deserialize_embedding(embedding_blob) - if stored_embedding is None: - continue - - # Compute cosine similarity - similarity = np.dot(query_embedding, stored_embedding) / ( - np.linalg.norm(query_embedding) * np.linalg.norm(stored_embedding) - ) - - # Skip if below minimum score threshold - if min_score is not None and similarity < min_score: - continue - - # Skip exact self-match (similarity 1.0 with identical text) - if term == text and abs(similarity - 1.0) < 0.001: - continue - - results.append(interfaces.Term(term, float(similarity))) - - # Sort by similarity score descending - results.sort(key=lambda x: x.weight, reverse=True) - - # Apply max_hits limit - if max_hits is not None: - results = results[:max_hits] + for scored_int in similar_results: + # Get the term text from the list of terms # TODO: Use the database instead? + if scored_int.item < len(self._terms_list): + term_text = self._terms_list[scored_int.item] + results.append(interfaces.Term(term_text, scored_int.score)) return results async def remove_term(self, term: str) -> None: - cursor = self.db.cursor() - cursor.execute("DELETE FROM RelatedTermsFuzzy WHERE term = ?", (term,)) - # Also remove any entries where this term appears as a related_term - cursor.execute("DELETE FROM RelatedTermsFuzzy WHERE related_term = ?", (term,)) + raise NotImplementedError( + "TODO: Removal from VectorBase, _terms_list, _terms_to_ordinal" + ) + # cursor = self.db.cursor() + # cursor.execute("DELETE FROM RelatedTermsFuzzy WHERE term = ?", (term,)) # Clear VectorBase and local mappings - they will be rebuilt on next lookup - self._vector_base.clear() - self._terms_list.clear() - self._terms_to_ordinal.clear() + # NO THEY WON'T + # self._vector_base.clear() + # self._terms_list.clear() + # self._added_terms.clear() async def clear(self) -> None: cursor = self.db.cursor() cursor.execute("DELETE FROM RelatedTermsFuzzy") async def size(self) -> int: + return self._size() + + def _size(self) -> int: cursor = self.db.cursor() - cursor.execute("SELECT COUNT(DISTINCT term) FROM RelatedTermsFuzzy") + cursor.execute("SELECT COUNT(term) FROM RelatedTermsFuzzy") return cursor.fetchone()[0] async def get_terms(self) -> list[str]: cursor = self.db.cursor() - cursor.execute("SELECT DISTINCT term FROM RelatedTermsFuzzy ORDER BY term") + cursor.execute("SELECT term FROM RelatedTermsFuzzy ORDER BY term") return [row[0] for row in cursor.fetchall()] async def add_terms(self, texts: list[str]) -> None: - """Add terms with self-related embeddings.""" - from .schema import serialize_embedding - + """Add terms.""" cursor = self.db.cursor() + # TODO: Batch additions to database for text in texts: - # Add to VectorBase for fuzzy lookup if not already present - if text not in self._terms_to_ordinal: - await self._vector_base.add_key(text) - ordinal = len(self._terms_list) - self._terms_list.append(text) - self._terms_to_ordinal[text] = ordinal + if text in self._added_terms: + continue + + # Add to VectorBase for fuzzy lookup + await self._vector_base.add_key(text) + self._terms_list.append(text) + self._added_terms.add(text) # Generate embedding for term and store in database - embed = await self._embedding_model.get_embedding(text) - serialized = serialize_embedding(embed) - # Insert term as related to itself, only storing term_embedding once + embedding = await self._vector_base.get_embedding(text) # Cached + serialized_embedding = serialize_embedding(embedding) + # Insert term and embedding cursor.execute( """ - INSERT OR REPLACE INTO RelatedTermsFuzzy - (term, related_term, score, term_embedding) - VALUES (?, ?, 1.0, ?) - """, - (text, text, serialized), + INSERT OR REPLACE INTO RelatedTermsFuzzy + (term, term_embedding) + VALUES (?, ?) + """, + (text, serialized_embedding), ) - async def get_related_terms( - self, term: str, max_matches: int | None = None, min_score: float | None = None - ) -> list[interfaces.Term] | None: - cursor = self.db.cursor() - - query = "SELECT related_term, score FROM RelatedTermsFuzzy WHERE term = ?" - params: list[typing.Any] = [term] - - if min_score is not None: - query += " AND score >= ?" - params.append(min_score) - - query += " ORDER BY score DESC" - - if max_matches is not None: - query += " LIMIT ?" - params.append(max_matches) - - cursor.execute(query, params) - - results = [ - interfaces.Term(related_term, score) - for related_term, score in cursor.fetchall() - ] - return results if results else None - async def lookup_terms( self, texts: list[str], @@ -322,6 +240,7 @@ async def lookup_terms( min_score: float | None = None, ) -> list[list[interfaces.Term]]: """Look up multiple terms at once.""" + # TODO: Some kind of batching? results = [] for text in texts: term_results = await self.lookup_term(text, max_hits, min_score) @@ -336,7 +255,7 @@ async def deserialize(self, data: interfaces.TextEmbeddingIndexData) -> None: # Clear local mappings self._terms_list.clear() - self._terms_to_ordinal.clear() + self._added_terms.clear() # Get text items and embeddings from the data text_items = data.get("textItems") @@ -359,18 +278,18 @@ async def deserialize(self, data: interfaces.TextEmbeddingIndexData) -> None: if embedding is not None: serialized_embedding = serialize_embedding(embedding) # Insert as self-referential entry with only term_embedding - insertion_data.append((text, text, 1.0, serialized_embedding)) + insertion_data.append((text, serialized_embedding)) # Update local mappings self._terms_list.append(text) - self._terms_to_ordinal[text] = len(self._terms_to_ordinal) + self._added_terms.add(text) # Bulk insert all the data if insertion_data: cursor.executemany( """ INSERT OR REPLACE INTO RelatedTermsFuzzy - (term, related_term, score, term_embedding) - VALUES (?, ?, ?, ?) + (term, term_embedding) + VALUES (?, ?) """, insertion_data, ) @@ -379,12 +298,11 @@ async def deserialize(self, data: interfaces.TextEmbeddingIndexData) -> None: class SqliteRelatedTermsIndex(interfaces.ITermToRelatedTermsIndex): """SQLite-backed implementation of ITermToRelatedTermsIndex combining aliases and fuzzy index.""" - def __init__(self, db: sqlite3.Connection, embedding_model: AsyncEmbeddingModel): + def __init__(self, db: sqlite3.Connection, settings: TextEmbeddingIndexSettings): self.db = db # Initialize alias and fuzzy related terms indexes self._aliases = SqliteRelatedTermsAliases(db) - # Pass embedding_model to fuzzy index for persistent embeddings - self._fuzzy_index = SqliteRelatedTermsFuzzy(db, embedding_model) + self._fuzzy_index = SqliteRelatedTermsFuzzy(db, settings) @property def aliases(self) -> interfaces.ITermToRelatedTerms: diff --git a/typeagent/storage/sqlite/schema.py b/typeagent/storage/sqlite/schema.py index ec4b0d6..93e473a 100644 --- a/typeagent/storage/sqlite/schema.py +++ b/typeagent/storage/sqlite/schema.py @@ -132,12 +132,8 @@ RELATED_TERMS_FUZZY_SCHEMA = """ CREATE TABLE IF NOT EXISTS RelatedTermsFuzzy ( - term TEXT NOT NULL, - related_term TEXT NOT NULL, - score REAL NOT NULL DEFAULT 1.0, - term_embedding BLOB NULL, -- Serialized embedding for the term - - PRIMARY KEY (term, related_term) + term TEXT NOT NULL PRIMARY KEY, + term_embedding BLOB NOT NULL -- Serialized embedding for the term ); """ @@ -145,23 +141,16 @@ CREATE INDEX IF NOT EXISTS idx_related_fuzzy_term ON RelatedTermsFuzzy(term); """ -RELATED_TERMS_FUZZY_RELATED_INDEX = """ -CREATE INDEX IF NOT EXISTS idx_related_fuzzy_related ON RelatedTermsFuzzy(related_term); -""" - -RELATED_TERMS_FUZZY_SCORE_INDEX = """ -CREATE INDEX IF NOT EXISTS idx_related_fuzzy_score ON RelatedTermsFuzzy(score); -""" - # Type aliases for database row tuples type ShreddedMessage = tuple[ str | None, str | None, str | None, str | None, str | None, str | None ] type ShreddedSemanticRef = tuple[int, str, str, str] + type ShreddedMessageText = tuple[int, int, str, bytes | None] type ShreddedPropertyIndex = tuple[str, str, float, int] type ShreddedRelatedTermsAlias = tuple[str, str] -type ShreddedRelatedTermsFuzzy = tuple[str, str, float, bytes | None, bytes | None] +type ShreddedRelatedTermsFuzzy = tuple[str, float, bytes] @dataclass @@ -238,6 +227,9 @@ def init_db_schema(db: sqlite3.Connection) -> None: cursor.execute(SEMANTIC_REF_INDEX_TERM_INDEX) cursor.execute(MESSAGE_TEXT_INDEX_MESSAGE_INDEX) cursor.execute(MESSAGE_TEXT_INDEX_POSITION_INDEX) + cursor.execute(RELATED_TERMS_ALIASES_TERM_INDEX) + cursor.execute(RELATED_TERMS_ALIASES_ALIAS_INDEX) + cursor.execute(RELATED_TERMS_FUZZY_TERM_INDEX) def get_db_schema_version(db: sqlite3.Connection) -> str: From 0725fa1e76cf7cc8258ce8dfee3b8c2cefdc0f56 Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Tue, 16 Sep 2025 15:42:22 -0700 Subject: [PATCH 02/39] Improve _prepare_term(); test indexing edge cases (#1599) _prepare_term() now strips whitespace, normalizes interior whitespace, and normalizes Unicode to NFC form (canonical composition). There are new tests for all this and a few related edge cases. --- test/test_sqlite_indexes.py | 126 +++++++++++++++++++++++- typeagent/storage/sqlite/semrefindex.py | 14 ++- 2 files changed, 137 insertions(+), 3 deletions(-) diff --git a/test/test_sqlite_indexes.py b/test/test_sqlite_indexes.py index ac151e1..195cbb7 100644 --- a/test/test_sqlite_indexes.py +++ b/test/test_sqlite_indexes.py @@ -36,7 +36,9 @@ @pytest.fixture -def embedding_settings(embedding_model: AsyncEmbeddingModel) -> TextEmbeddingIndexSettings: +def embedding_settings( + embedding_model: AsyncEmbeddingModel, +) -> TextEmbeddingIndexSettings: """Create TextEmbeddingIndexSettings for testing.""" return TextEmbeddingIndexSettings(embedding_model) @@ -601,7 +603,9 @@ async def test_message_text_index_basic( ): """Test basic operations of message text index.""" # Create settings - embedding_settings_local = TextEmbeddingIndexSettings(embedding_settings.embedding_model) + embedding_settings_local = TextEmbeddingIndexSettings( + embedding_settings.embedding_model + ) settings = MessageTextIndexSettings(embedding_settings_local) index = SqliteMessageTextIndex(sqlite_db, settings) @@ -667,3 +671,121 @@ async def test_serialization_edge_cases( # await fuzzy_index.remove_term("remove_me") # results = await fuzzy_index.lookup_term("remove_me") # assert results == [] + + @pytest.mark.asyncio + async def test_term_normalization_whitespace(self, sqlite_db: sqlite3.Connection): + """Test whitespace normalization in _prepare_term().""" + index = SqliteTermToSemanticRefIndex(sqlite_db) + + # Test that whitespace variations normalize to the same term + whitespace_variants = [ + "hello world", # baseline + " hello world ", # leading/trailing spaces + "hello\tworld", # tab instead of space + "hello\nworld", # newline instead of space + "hello world", # multiple spaces + "hello \t world", # mixed whitespace + ] + + # Add all variants - they should normalize to the same internal form + for i, variant in enumerate(whitespace_variants): + await index.add_term(variant, i + 1) + + # All variants should find the same normalized term + for i, variant in enumerate(whitespace_variants): + results = await index.lookup_term(variant) + assert results is not None, f"Should find results for '{variant}'" + assert len(results) == len( + whitespace_variants + ), f"Expected {len(whitespace_variants)} results for '{variant}', got {len(results)}" + # All should map to the same normalized form, so should find all semantic refs + expected_semrefs = set(range(1, len(whitespace_variants) + 1)) + actual_semrefs = {r.semantic_ref_ordinal for r in results} + assert actual_semrefs == expected_semrefs + + @pytest.mark.asyncio + async def test_term_normalization_unicode(self, sqlite_db: sqlite3.Connection): + """Test Unicode normalization and roundtripping.""" + index = SqliteTermToSemanticRefIndex(sqlite_db) + + # Test Unicode normalization - these should be equivalent after NFC normalization + unicode_variants = [ + "café", # NFC form (single é character) + "cafe\u0301", # NFD form (e + combining acute accent) + ] + + # Test higher Unicode planes + high_plane_terms = [ + "test🏠house", # Emoji (U+1F3E0) + "math𝑨𝑩𝑪", # Mathematical symbols (U+1D400 range) + "ancient𓀀𓀁", # Egyptian hieroglyphs (U+13000 range) + ] + + # Add Unicode variants + for i, variant in enumerate(unicode_variants): + await index.add_term(variant, 100 + i) + + # Both variants should resolve to the same normalized form + results1 = await index.lookup_term(unicode_variants[0]) + results2 = await index.lookup_term(unicode_variants[1]) + assert ( + results1 is not None and results2 is not None + ), "Both Unicode forms should return results" + assert len(results1) == len( + results2 + ), "NFC and NFD forms should normalize to same term" + assert len(results1) == 2, f"Expected 2 results, got {len(results1)}" + + # Test higher plane Unicode roundtripping + for i, term in enumerate(high_plane_terms): + await index.add_term(term, 200 + i) + results = await index.lookup_term(term) + assert ( + results is not None + ), f"Should find results for higher plane Unicode: '{term}'" + assert len(results) == 1, f"Should roundtrip higher plane Unicode: '{term}'" + assert results[0].semantic_ref_ordinal == 200 + i + + @pytest.mark.asyncio + async def test_term_case_sensitivity(self, sqlite_db: sqlite3.Connection): + """Test case normalization in _prepare_term().""" + index = SqliteTermToSemanticRefIndex(sqlite_db) + + # Test case variations + case_variants = [ + "Hello", + "HELLO", + "hello", + "HeLLo", + ] + + # Add all case variants + for i, variant in enumerate(case_variants): + await index.add_term(variant, 300 + i) + + # All should normalize to same lowercase form + for variant in case_variants: + results = await index.lookup_term(variant) + assert ( + results is not None + ), f"Should find results for case variant '{variant}'" + assert len(results) == len( + case_variants + ), f"Case variant '{variant}' should find all normalized forms" + expected_semrefs = set(range(300, 300 + len(case_variants))) + actual_semrefs = {r.semantic_ref_ordinal for r in results} + assert actual_semrefs == expected_semrefs + + # Test Unicode case sensitivity + unicode_cases = ["Café", "CAFÉ", "café"] + for i, variant in enumerate(unicode_cases): + await index.add_term(variant, 400 + i) + + for variant in unicode_cases: + results = await index.lookup_term(variant) + assert ( + results is not None + ), f"Should find results for Unicode case variant '{variant}'" + assert len(results) == len( + unicode_cases + ), f"Unicode case variant '{variant}' should find all forms" diff --git a/typeagent/storage/sqlite/semrefindex.py b/typeagent/storage/sqlite/semrefindex.py index 49e2ecc..682b8e7 100644 --- a/typeagent/storage/sqlite/semrefindex.py +++ b/typeagent/storage/sqlite/semrefindex.py @@ -3,7 +3,9 @@ """SQLite-based semantic reference index implementation.""" +import re import sqlite3 +import unicodedata from ...knowpro import interfaces from ...knowpro.interfaces import ScoredSemanticRefOrdinal @@ -140,5 +142,15 @@ async def deserialize(self, data: interfaces.TermToSemanticRefIndexData) -> None ) def _prepare_term(self, term: str) -> str: - """Normalize term by converting to lowercase.""" + """Normalize term by converting to lowercase, stripping whitespace, and normalizing Unicode.""" + # Strip leading/trailing whitespace + term = term.strip() + + # Normalize Unicode to NFC form (canonical composition) + term = unicodedata.normalize("NFC", term) + + # Collapse multiple whitespace characters to single space + term = re.sub(r"\s+", " ", term) + + # Convert to lowercase return term.lower() From 24a34d9278076760a907d650e012cb77b7918216 Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Wed, 17 Sep 2025 11:13:57 +0100 Subject: [PATCH 03/39] Use 'uv build' to build dist --- Makefile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Makefile b/Makefile index 84e9740..324f8ef 100644 --- a/Makefile +++ b/Makefile @@ -45,7 +45,7 @@ scaling: venv .PHONY: build build: venv - .venv/bin/python -m build --wheel + uv build .PHONY: venv venv: .venv From 2f262e8433fdaa0c5a4b58a87b15a546b9647b4d Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Wed, 17 Sep 2025 11:15:18 +0100 Subject: [PATCH 04/39] Add release-py.yml; rename project to typeagent-py --- .github/workflows/release-py.yml | 62 ++++++++++++++++++++++++++++++++ pyproject.toml | 2 +- uv.lock | 2 +- 3 files changed, 64 insertions(+), 2 deletions(-) create mode 100644 .github/workflows/release-py.yml diff --git a/.github/workflows/release-py.yml b/.github/workflows/release-py.yml new file mode 100644 index 0000000..e278cd2 --- /dev/null +++ b/.github/workflows/release-py.yml @@ -0,0 +1,62 @@ +name: Release (PyPI via Trusted Publishing + uv) + +on: + push: + tags: [ "v*" ] # tag to publish + workflow_dispatch: # manual run + +permissions: + contents: read + +jobs: + build: + runs-on: ubuntu-latest + defaults: + run: + shell: bash + working-directory: python/ta # your project subdir + steps: + - uses: actions/checkout@v4 + + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: "3.12" + + - name: Install uv + run: | + curl -LsSf https://astral.sh/uv/install.sh | sh + echo "$HOME/.local/bin" >> "$GITHUB_PATH" + + - name: Create .venv and install deps + run: uv sync + + - name: Build sdist + wheel (via make) + run: make build # runs `uv build`, outputs to dist/ + + - name: Upload build artifacts + uses: actions/upload-artifact@v4 + with: + name: dist + path: python/ta/dist/ + + publish: + needs: build + runs-on: ubuntu-latest + environment: + name: pypi + url: https://pypi.org/p/ # optional, UI nicety + permissions: + id-token: write # REQUIRED for Trusted Publishing (no tokens!) + contents: read + steps: + - uses: actions/download-artifact@v4 + with: + name: dist + path: dist + + - name: Publish to PyPI + uses: pypa/gh-action-pypi-publish@release/v1 + # For TestPyPI first, add: + # with: + # repository-url: https://test.pypi.org/legacy/ diff --git a/pyproject.toml b/pyproject.toml index 94e0320..9d77af1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -3,7 +3,7 @@ requires = ["setuptools>=67", "wheel"] build-backend = "setuptools.build_meta" [project] -name = "typeagent" +name = "typeagent-py" version = "0.1.0" description = "TypeAgent implements an agentic memory framework." authors = [ diff --git a/uv.lock b/uv.lock index 6183620..d9f4f52 100644 --- a/uv.lock +++ b/uv.lock @@ -1221,7 +1221,7 @@ wheels = [ ] [[package]] -name = "typeagent" +name = "typeagent-py" version = "0.1.0" source = { editable = "." } dependencies = [ From 40ae431fc614cdf677c6e339c2a646c5fa30c1a9 Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Wed, 17 Sep 2025 11:22:31 +0100 Subject: [PATCH 05/39] Add YAML copyright --- .github/workflows/release-py.yml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/.github/workflows/release-py.yml b/.github/workflows/release-py.yml index e278cd2..2b55338 100644 --- a/.github/workflows/release-py.yml +++ b/.github/workflows/release-py.yml @@ -1,3 +1,6 @@ +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. + name: Release (PyPI via Trusted Publishing + uv) on: From f38883dcae45b8b1642ee610838300a51de711c0 Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Wed, 17 Sep 2025 11:53:29 +0100 Subject: [PATCH 06/39] Fix display url --- .github/workflows/release-py.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/release-py.yml b/.github/workflows/release-py.yml index 2b55338..f2bcf17 100644 --- a/.github/workflows/release-py.yml +++ b/.github/workflows/release-py.yml @@ -48,7 +48,7 @@ jobs: runs-on: ubuntu-latest environment: name: pypi - url: https://pypi.org/p/ # optional, UI nicety + url: https://pypi.org/p/typeagent-py permissions: id-token: write # REQUIRED for Trusted Publishing (no tokens!) contents: read From dc74f43a844df74955287577f772f67d2c6e0ff9 Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Wed, 17 Sep 2025 12:06:22 +0100 Subject: [PATCH 07/39] Attempt to install typechat and all its subdirs too --- pyproject.toml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/pyproject.toml b/pyproject.toml index 9d77af1..3102a5d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -48,6 +48,9 @@ packages = [ "typeagent.storage", "typeagent.storage.memory", "typeagent.storage.sqlite", + "typechat", + "typechat._internal", + "typechat._internal.ts_conversion", ] [tool.pytest.ini_options] From 790bae4425a26acbb6eb7ff16fe59dbf00b40445 Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Wed, 17 Sep 2025 12:09:36 +0100 Subject: [PATCH 08/39] Add typechat tree --- typechat/__about__.py | 4 + typechat/__init__.py | 25 + typechat/_internal/__init__.py | 0 typechat/_internal/interactive.py | 37 ++ typechat/_internal/model.py | 184 +++++++ typechat/_internal/result.py | 21 + typechat/_internal/translator.py | 125 +++++ typechat/_internal/ts_conversion/__init__.py | 37 ++ .../ts_conversion/python_type_to_ts_nodes.py | 447 ++++++++++++++++++ .../ts_conversion/ts_node_to_string.py | 96 ++++ .../_internal/ts_conversion/ts_type_nodes.py | 78 +++ typechat/_internal/validator.py | 67 +++ typechat/py.typed | 0 13 files changed, 1121 insertions(+) create mode 100644 typechat/__about__.py create mode 100644 typechat/__init__.py create mode 100644 typechat/_internal/__init__.py create mode 100644 typechat/_internal/interactive.py create mode 100644 typechat/_internal/model.py create mode 100644 typechat/_internal/result.py create mode 100644 typechat/_internal/translator.py create mode 100644 typechat/_internal/ts_conversion/__init__.py create mode 100644 typechat/_internal/ts_conversion/python_type_to_ts_nodes.py create mode 100644 typechat/_internal/ts_conversion/ts_node_to_string.py create mode 100644 typechat/_internal/ts_conversion/ts_type_nodes.py create mode 100644 typechat/_internal/validator.py create mode 100644 typechat/py.typed diff --git a/typechat/__about__.py b/typechat/__about__.py new file mode 100644 index 0000000..e4e1946 --- /dev/null +++ b/typechat/__about__.py @@ -0,0 +1,4 @@ +# SPDX-FileCopyrightText: Microsoft Corporation +# +# SPDX-License-Identifier: MIT +__version__ = "0.0.2" diff --git a/typechat/__init__.py b/typechat/__init__.py new file mode 100644 index 0000000..e2267ed --- /dev/null +++ b/typechat/__init__.py @@ -0,0 +1,25 @@ +# SPDX-FileCopyrightText: Microsoft Corporation +# +# SPDX-License-Identifier: MIT + +from typechat._internal.model import PromptSection, TypeChatLanguageModel, create_language_model, create_openai_language_model, create_azure_openai_language_model +from typechat._internal.result import Failure, Result, Success +from typechat._internal.translator import TypeChatJsonTranslator +from typechat._internal.ts_conversion import python_type_to_typescript_schema +from typechat._internal.validator import TypeChatValidator +from typechat._internal.interactive import process_requests + +__all__ = [ + "TypeChatLanguageModel", + "TypeChatJsonTranslator", + "TypeChatValidator", + "Success", + "Failure", + "Result", + "python_type_to_typescript_schema", + "PromptSection", + "create_language_model", + "create_openai_language_model", + "create_azure_openai_language_model", + "process_requests", +] diff --git a/typechat/_internal/__init__.py b/typechat/_internal/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/typechat/_internal/interactive.py b/typechat/_internal/interactive.py new file mode 100644 index 0000000..d6f2959 --- /dev/null +++ b/typechat/_internal/interactive.py @@ -0,0 +1,37 @@ +from typing import Callable, Awaitable + +async def process_requests(interactive_prompt: str, input_file_name: str | None, process_request: Callable[[str], Awaitable[None]]): + """ + A request processor for interactive input or input from a text file. If an input file name is specified, + the callback function is invoked for each line in file. Otherwise, the callback function is invoked for + each line of interactive input until the user types "quit" or "exit". + + Args: + interactive_prompt: Prompt to present to user. + input_file_name: Input text file name, if any. + process_request: Async callback function that is invoked for each interactive input or each line in text file. + """ + if input_file_name is not None: + with open(input_file_name, "r") as file: + lines = filter(str.rstrip, file) + for line in lines: + if line.startswith("# "): + continue + print(interactive_prompt + line) + await process_request(line) + else: + try: + # Use readline to enable input editing and history + import readline # type: ignore + except ImportError: + pass + while True: + try: + line = input(interactive_prompt) + except EOFError: + print("\n") + break + if line.lower().strip() in ("quit", "exit"): + break + else: + await process_request(line) diff --git a/typechat/_internal/model.py b/typechat/_internal/model.py new file mode 100644 index 0000000..da52e30 --- /dev/null +++ b/typechat/_internal/model.py @@ -0,0 +1,184 @@ +import asyncio +from types import TracebackType +from typing_extensions import AsyncContextManager, Literal, Protocol, Self, TypedDict, cast, override + +from typechat._internal.result import Failure, Result, Success + +import httpx + +class PromptSection(TypedDict): + """ + Represents a section of an LLM prompt with an associated role. TypeChat uses the "user" role for + prompts it generates and the "assistant" role for previous LLM responses (which will be part of + the prompt in repair attempts). TypeChat currently doesn't use the "system" role. + """ + role: Literal["system", "user", "assistant"] + content: str + +class TypeChatLanguageModel(Protocol): + async def complete(self, prompt: str | list[PromptSection]) -> Result[str]: + """ + Represents a AI language model that can complete prompts. + + TypeChat uses an implementation of this protocol to communicate + with an AI service that can translate natural language requests to JSON + instances according to a provided schema. + The `create_language_model` function can create an instance. + """ + ... + +_TRANSIENT_ERROR_CODES = [ + 429, + 500, + 502, + 503, + 504, +] + +class HttpxLanguageModel(TypeChatLanguageModel, AsyncContextManager): + url: str + headers: dict[str, str] + default_params: dict[str, str] + # Specifies the maximum number of retry attempts. + max_retry_attempts: int = 3 + # Specifies the delay before retrying in milliseconds. + retry_pause_seconds: float = 1.0 + # Specifies how long a request should wait in seconds + # before timing out with a Failure. + timeout_seconds = 10 + _async_client: httpx.AsyncClient + + def __init__(self, url: str, headers: dict[str, str], default_params: dict[str, str]): + super().__init__() + self.url = url + self.headers = headers + self.default_params = default_params + self._async_client = httpx.AsyncClient() + + @override + async def complete(self, prompt: str | list[PromptSection]) -> Success[str] | Failure: + headers = { + "Content-Type": "application/json", + **self.headers, + } + + if isinstance(prompt, str): + prompt = [{"role": "user", "content": prompt}] + + body = { + **self.default_params, + "messages": prompt, + "temperature": 0.0, + "n": 1, + } + retry_count = 0 + while True: + try: + response = await self._async_client.post( + self.url, + headers=headers, + json=body, + timeout=self.timeout_seconds + ) + if response.is_success: + json_result = cast( + dict[Literal["choices"], list[dict[Literal["message"], PromptSection]]], + response.json() + ) + return Success(json_result["choices"][0]["message"]["content"] or "") + + if response.status_code not in _TRANSIENT_ERROR_CODES or retry_count >= self.max_retry_attempts: + return Failure(f"REST API error {response.status_code}: {response.reason_phrase}") + except Exception as e: + if retry_count >= self.max_retry_attempts: + return Failure(str(e) or f"{repr(e)} raised from within internal TypeChat language model.") + + await asyncio.sleep(self.retry_pause_seconds) + retry_count += 1 + + @override + async def __aenter__(self) -> Self: + return self + + @override + async def __aexit__(self, __exc_type: type[BaseException] | None, __exc_value: BaseException | None, __traceback: TracebackType | None) -> bool | None: + await self._async_client.aclose() + + def __del__(self): + try: + asyncio.get_running_loop().create_task(self._async_client.aclose()) + except Exception: + pass + +def create_language_model(vals: dict[str, str | None]) -> HttpxLanguageModel: + """ + Creates a language model encapsulation of an OpenAI or Azure OpenAI REST API endpoint + chosen by a dictionary of variables (typically just `os.environ`). + + If an `OPENAI_API_KEY` environment variable exists, an OpenAI model is constructed. + The `OPENAI_ENDPOINT` and `OPENAI_MODEL` environment variables must also be defined or an error will be raised. + + If an `AZURE_OPENAI_API_KEY` environment variable exists, an Azure OpenAI model is constructed. + The `AZURE_OPENAI_ENDPOINT` environment variable must also be defined or an exception will be thrown. + + If none of these key variables are defined, an exception is thrown. + @returns An instance of `TypeChatLanguageModel`. + + Args: + vals: A dictionary of variables. Typically just `os.environ`. + """ + + def required_var(name: str) -> str: + val = vals.get(name, None) + if val is None: + raise ValueError(f"Missing environment variable {name}.") + return val + + if "OPENAI_API_KEY" in vals: + api_key = required_var("OPENAI_API_KEY") + model = required_var("OPENAI_MODEL") + endpoint = vals.get("OPENAI_ENDPOINT", None) or "https://api.openai.com/v1/chat/completions" + org = vals.get("OPENAI_ORG", None) or "" + return create_openai_language_model(api_key, model, endpoint, org) + + elif "AZURE_OPENAI_API_KEY" in vals: + api_key=required_var("AZURE_OPENAI_API_KEY") + endpoint=required_var("AZURE_OPENAI_ENDPOINT") + return create_azure_openai_language_model(api_key, endpoint) + else: + raise ValueError("Missing environment variables for OPENAI_API_KEY or AZURE_OPENAI_API_KEY.") + +def create_openai_language_model(api_key: str, model: str, endpoint: str = "https://api.openai.com/v1/chat/completions", org: str = "") -> HttpxLanguageModel: + """ + Creates a language model encapsulation of an OpenAI REST API endpoint. + + Args: + api_key: The OpenAI API key. + model: The OpenAI model name. + endpoint: The OpenAI REST API endpoint. + org: The OpenAI organization. + """ + headers = { + "Authorization": f"Bearer {api_key}", + "OpenAI-Organization": org, + } + default_params = { + "model": model, + } + return HttpxLanguageModel(url=endpoint, headers=headers, default_params=default_params) + +def create_azure_openai_language_model(api_key: str, endpoint: str) -> HttpxLanguageModel: + """ + Creates a language model encapsulation of an Azure OpenAI REST API endpoint. + + Args: + api_key: The Azure OpenAI API key. + endpoint: The Azure OpenAI REST API endpoint. + """ + headers = { + # Needed when using managed identity + "Authorization": f"Bearer {api_key}", + # Needed when using regular API key + "api-key": api_key, + } + return HttpxLanguageModel(url=endpoint, headers=headers, default_params={}) diff --git a/typechat/_internal/result.py b/typechat/_internal/result.py new file mode 100644 index 0000000..a9578ce --- /dev/null +++ b/typechat/_internal/result.py @@ -0,0 +1,21 @@ +from dataclasses import dataclass +from typing_extensions import Generic, TypeAlias, TypeVar + +T = TypeVar("T", covariant=True) + +@dataclass +class Success(Generic[T]): + "An object representing a successful operation with a result of type `T`." + value: T + + +@dataclass +class Failure: + "An object representing an operation that failed for the reason given in `message`." + message: str + + +""" +An object representing a successful or failed operation of type `T`. +""" +Result: TypeAlias = Success[T] | Failure diff --git a/typechat/_internal/translator.py b/typechat/_internal/translator.py new file mode 100644 index 0000000..ee07719 --- /dev/null +++ b/typechat/_internal/translator.py @@ -0,0 +1,125 @@ +from typing_extensions import Generic, TypeVar + +import pydantic_core + +from typechat._internal.model import PromptSection, TypeChatLanguageModel +from typechat._internal.result import Failure, Result, Success +from typechat._internal.ts_conversion import python_type_to_typescript_schema +from typechat._internal.validator import TypeChatValidator + +T = TypeVar("T", covariant=True) + +class TypeChatJsonTranslator(Generic[T]): + """ + Represents an object that can translate natural language requests in JSON objects of the given type. + """ + + model: TypeChatLanguageModel + validator: TypeChatValidator[T] + target_type: type[T] + type_name: str + schema_str: str + _max_repair_attempts = 1 + + def __init__( + self, + model: TypeChatLanguageModel, + validator: TypeChatValidator[T], + target_type: type[T], + *, # keyword-only parameters follow + _raise_on_schema_errors: bool = True, + ): + """ + Args: + model: The associated `TypeChatLanguageModel`. + validator: The associated `TypeChatValidator[T]`. + target_type: A runtime type object describing `T` - the expected shape of JSON data. + """ + super().__init__() + self.model = model + self.validator = validator + self.target_type = target_type + + conversion_result = python_type_to_typescript_schema(target_type) + + if _raise_on_schema_errors and conversion_result.errors: + error_text = "".join(f"\n- {error}" for error in conversion_result.errors) + raise ValueError(f"Could not convert Python type to TypeScript schema: \n{error_text}") + + self.type_name = conversion_result.typescript_type_reference + self.schema_str = conversion_result.typescript_schema_str + + async def translate(self, input: str, *, prompt_preamble: str | list[PromptSection] | None = None) -> Result[T]: + """ + Translates a natural language request into an object of type `T`. If the JSON object returned by + the language model fails to validate, repair attempts will be made up until `_max_repair_attempts`. + The prompt for the subsequent attempts will include the diagnostics produced for the prior attempt. + This often helps produce a valid instance. + + Args: + input: A natural language request. + prompt_preamble: An optional string or list of prompt sections to prepend to the generated prompt.\ + If a string is given, it is converted to a single "user" role prompt section. + """ + + messages: list[PromptSection] = [] + + if prompt_preamble: + if isinstance(prompt_preamble, str): + prompt_preamble = [{"role": "user", "content": prompt_preamble}] + messages.extend(prompt_preamble) + + messages.append({"role": "user", "content": self._create_request_prompt(input)}) + + num_repairs_attempted = 0 + while True: + completion_response = await self.model.complete(messages) + if isinstance(completion_response, Failure): + return completion_response + + text_response = completion_response.value + first_curly = text_response.find("{") + last_curly = text_response.rfind("}") + 1 + error_message: str + if 0 <= first_curly < last_curly: + trimmed_response = text_response[first_curly:last_curly] + try: + parsed_response = pydantic_core.from_json(trimmed_response, allow_inf_nan=False, cache_strings=False) + except ValueError as e: + error_message = f"Error: {e}\n\nAttempted to parse:\n\n{trimmed_response}" + else: + result = self.validator.validate_object(parsed_response) + if isinstance(result, Success): + return result + error_message = result.message + else: + error_message = f"Response did not contain any text resembling JSON.\nResponse was\n\n{text_response}" + if num_repairs_attempted >= self._max_repair_attempts: + return Failure(error_message) + num_repairs_attempted += 1 + messages.append({"role": "assistant", "content": text_response}) + messages.append({"role": "user", "content": self._create_repair_prompt(error_message)}) + + def _create_request_prompt(self, intent: str) -> str: + prompt = f""" +You are a service that translates user requests into JSON objects of type "{self.type_name}" according to the following TypeScript definitions: +``` +{self.schema_str} +``` +The following is a user request: +''' +{intent} +''' +The following is the user request translated into a JSON object with 2 spaces of indentation and no properties with the value undefined: +""" + return prompt + + def _create_repair_prompt(self, validation_error: str) -> str: + prompt = f""" +The above JSON object is invalid for the following reason: +''' +{validation_error} +''' +The following is a revised JSON object: +""" + return prompt diff --git a/typechat/_internal/ts_conversion/__init__.py b/typechat/_internal/ts_conversion/__init__.py new file mode 100644 index 0000000..30a0b53 --- /dev/null +++ b/typechat/_internal/ts_conversion/__init__.py @@ -0,0 +1,37 @@ +from dataclasses import dataclass +from typing_extensions import TypeAliasType + +from typechat._internal.ts_conversion.python_type_to_ts_nodes import python_type_to_typescript_nodes +from typechat._internal.ts_conversion.ts_node_to_string import ts_declaration_to_str + +__all__ = [ + "python_type_to_typescript_schema", + "TypeScriptSchemaConversionResult", +] + +@dataclass +class TypeScriptSchemaConversionResult: + typescript_schema_str: str + """The TypeScript declarations generated from the Python declarations.""" + + typescript_type_reference: str + """The TypeScript string representation of a given Python type.""" + + errors: list[str] + """Any errors that occurred during conversion.""" + +def python_type_to_typescript_schema(py_type: type | TypeAliasType) -> TypeScriptSchemaConversionResult: + """Converts a Python type to a TypeScript schema.""" + + node_conversion_result = python_type_to_typescript_nodes(py_type) + + decl_strs = map(ts_declaration_to_str, node_conversion_result.type_declarations) + decl_strs = reversed(list(decl_strs)) + + schema_str = "\n".join(decl_strs) + + return TypeScriptSchemaConversionResult( + typescript_schema_str=schema_str, + typescript_type_reference=py_type.__name__, + errors=node_conversion_result.errors, + ) diff --git a/typechat/_internal/ts_conversion/python_type_to_ts_nodes.py b/typechat/_internal/ts_conversion/python_type_to_ts_nodes.py new file mode 100644 index 0000000..e663be5 --- /dev/null +++ b/typechat/_internal/ts_conversion/python_type_to_ts_nodes.py @@ -0,0 +1,447 @@ +from __future__ import annotations + +from collections import OrderedDict +import inspect +import sys +import typing +import typing_extensions +from dataclasses import MISSING, Field, dataclass +from types import NoneType, UnionType +from typing_extensions import ( + Annotated, + Any, + ClassVar, + Doc, + Final, + Generic, + Literal, + LiteralString, + Never, + NoReturn, + NotRequired, + Protocol, + Required, + TypeAlias, + TypeAliasType, + TypeGuard, + TypeVar, + Union, + cast, + get_args, + get_origin, + get_original_bases, + get_type_hints, + is_typeddict, +) + +from typechat._internal.ts_conversion.ts_type_nodes import ( + AnyTypeReferenceNode, + ArrayTypeNode, + BooleanTypeReferenceNode, + IdentifierNode, + IndexSignatureDeclarationNode, + InterfaceDeclarationNode, + LiteralTypeNode, + NeverTypeReferenceNode, + NullTypeReferenceNode, + NumberTypeReferenceNode, + PropertyDeclarationNode, + StringTypeReferenceNode, + ThisTypeReferenceNode, + TopLevelDeclarationNode, + TupleTypeNode, + TypeAliasDeclarationNode, + TypeNode, + TypeParameterDeclarationNode, + TypeReferenceNode, + UnionTypeNode, +) + +class GenericDeclarationish(Protocol): + __parameters__: list[TypeVar] + __type_params__: list[TypeVar] # NOTE: may not be present unless running in 3.12 + +class GenericAliasish(Protocol): + __origin__: object + __args__: tuple[object, ...] + __name__: str + + +class Annotatedish(Protocol): + # NOTE: `__origin__` here refers to `SomeType` in `Annnotated[SomeType, ...]` + __origin__: object + __metadata__: tuple[object, ...] + +class Dataclassish(Protocol): + __dataclass_fields__: dict[str, Field[Any]] + +# type[TypedDict] +# https://github.com/microsoft/pyright/pull/6505#issuecomment-1834431725 +class TypeOfTypedDict(Protocol): + __total__: bool + +if sys.version_info >= (3, 12) and typing.TypeAliasType is not typing_extensions.TypeAliasType: + # Sometimes typing_extensions aliases TypeAliasType, + # sometimes it's its own declaration. + def is_type_alias_type(py_type: object) -> TypeGuard[TypeAliasType]: + return isinstance(py_type, typing.TypeAliasType | typing_extensions.TypeAliasType) +else: + def is_type_alias_type(py_type: object) -> TypeGuard[TypeAliasType]: + return isinstance(py_type, typing_extensions.TypeAliasType) + + +def is_generic(py_type: object) -> TypeGuard[GenericAliasish]: + return hasattr(py_type, "__origin__") and hasattr(py_type, "__args__") + +def is_dataclass(py_type: object) -> TypeGuard[Dataclassish]: + return hasattr(py_type, "__dataclass_fields__") and isinstance(cast(Any, py_type).__dataclass_fields__, dict) + +TypeReferenceTarget: TypeAlias = type | TypeAliasType | TypeVar | GenericAliasish + +def is_python_type_or_alias(origin: object) -> TypeGuard[type | TypeAliasType]: + return isinstance(origin, type) or is_type_alias_type(origin) + + +_KNOWN_GENERIC_SPECIAL_FORMS: frozenset[Any] = frozenset( + [ + Required, + NotRequired, + ClassVar, + Final, + Annotated, + Generic, + ] +) + +_KNOWN_SPECIAL_BASES: frozenset[Any] = frozenset([ + typing.TypedDict, + typing_extensions.TypedDict, + Protocol, + + # In older versions of Python, `__orig_bases__` will not be defined on `TypedDict`s + # derived from the built-in `typing` module (but they will from `typing_extensions`!). + # So `get_original_bases` will fetch `__bases__` which will map `TypedDict` to a plain `dict`. + dict, +]) + + +@dataclass +class TypeScriptNodeTranslationResult: + type_declarations: list[TopLevelDeclarationNode] + errors: list[str] + + +# TODO: https://github.com/microsoft/pyright/issues/6587 +_SELF_TYPE = getattr(typing_extensions, "Self") + +_LIST_TYPES: set[object] = { + list, + set, + frozenset, + # TODO: https://github.com/microsoft/pyright/issues/6582 + # collections.abc.MutableSequence, + # collections.abc.Sequence, + # collections.abc.Set +} + +# TODO: https://github.com/microsoft/pyright/issues/6582 +# _DICT_TYPES: set[type] = { +# dict, +# collections.abc.MutableMapping, +# collections.abc.Mapping +# } + + +def python_type_to_typescript_nodes(root_py_type: object) -> TypeScriptNodeTranslationResult: + # TODO: handle conflicting names + + declared_types: OrderedDict[object, TopLevelDeclarationNode | None] = OrderedDict() + undeclared_types: OrderedDict[object, object] = OrderedDict({root_py_type: root_py_type}) # just a set, really + used_names: dict[str, type | TypeAliasType] = {} + errors: list[str] = [] + + def skip_annotations(py_type: object) -> object: + origin = py_type + while (origin := get_origin(py_type)) and origin in _KNOWN_GENERIC_SPECIAL_FORMS: + type_arguments = get_args(py_type) + if not type_arguments: + errors.append(f"'{origin}' has been used without any type arguments.") + return Any + py_type = type_arguments[0] + continue + return py_type + + def convert_to_type_reference_node(py_type: TypeReferenceTarget) -> TypeNode: + py_type_to_declare = py_type + + if is_generic(py_type): + py_type_to_declare = get_origin(py_type) + + if py_type_to_declare not in declared_types: + if is_python_type_or_alias(py_type_to_declare): + undeclared_types[py_type_to_declare] = py_type_to_declare + elif not isinstance(py_type, TypeVar): + errors.append(f"Invalid usage of '{py_type}' as a type annotation.") + return AnyTypeReferenceNode + + if is_generic(py_type): + return generic_alias_to_type_reference(py_type) + + return TypeReferenceNode(IdentifierNode(py_type.__name__)) + + def generic_alias_to_type_reference(py_type: GenericAliasish) -> TypeReferenceNode: + origin = get_origin(py_type) + assert origin is not None + name = origin.__name__ + type_arguments = list(map(convert_to_type_node, get_args(py_type))) + return TypeReferenceNode(IdentifierNode(name), type_arguments) + + def convert_literal_type_arg_to_type_node(py_type: object) -> TypeNode: + py_type = skip_annotations(py_type) + match py_type: + case str() | int() | float(): # no need to match bool, it's a subclass of int + return LiteralTypeNode(py_type) + case None: + return NullTypeReferenceNode + case _: + errors.append(f"'{py_type}' cannot be used as a literal type.") + return AnyTypeReferenceNode + + def convert_to_type_node(py_type: object) -> TypeNode: + py_type = skip_annotations(py_type) + + if py_type is str or py_type is LiteralString: + return StringTypeReferenceNode + if py_type is int or py_type is float: + return NumberTypeReferenceNode + if py_type is bool: + return BooleanTypeReferenceNode + if py_type is Any or py_type is object: + return AnyTypeReferenceNode + if py_type is None or py_type is NoneType: + return NullTypeReferenceNode + if py_type is Never or py_type is NoReturn: + return NeverTypeReferenceNode + if py_type is _SELF_TYPE: + return ThisTypeReferenceNode + + # TODO: consider handling bare 'tuple' (and list, etc.) + # https://docs.python.org/3/library/typing.html#annotating-tuples + # Using plain tuple as an annotation is equivalent to using tuple[Any, ...]: + + origin = get_origin(py_type) + if origin is not None: + if origin in _LIST_TYPES: + (type_arg,) = get_type_argument_nodes(py_type, 1, AnyTypeReferenceNode) + if isinstance(type_arg, UnionTypeNode): + return TypeReferenceNode(IdentifierNode("Array"), [type_arg]) + return ArrayTypeNode(type_arg) + + if origin is dict: + # TODO + # Currently, we naively assume all dicts are string-keyed + # unless they're annotated with `int` or `float` (note: not `int | float`). + key_type_arg, value_type_arg = get_type_argument_nodes(py_type, 2, AnyTypeReferenceNode) + if key_type_arg is not NumberTypeReferenceNode: + key_type_arg = StringTypeReferenceNode + return TypeReferenceNode(IdentifierNode("Record"), [key_type_arg, value_type_arg]) + + if origin is tuple: + # Note that when the type is `tuple[()]`, + # `type_args` will be an empty tuple. + # Which is nice, because we don't have to special-case anything! + type_args = get_args(py_type) + + if Ellipsis in type_args: + if len(type_args) != 2: + errors.append( + f"The tuple type '{py_type}' is ill-formed. Tuples with an ellipsis can only take the form 'tuple[SomeType, ...]'." + ) + return ArrayTypeNode(AnyTypeReferenceNode) + + ellipsis_index = type_args.index(Ellipsis) + if ellipsis_index != 1: + errors.append( + f"The tuple type '{py_type}' is ill-formed because the ellipsis (...) cannot be the first element." + ) + return ArrayTypeNode(AnyTypeReferenceNode) + + return ArrayTypeNode(convert_to_type_node(type_args[0])) + + return TupleTypeNode([convert_to_type_node(py_type_arg) for py_type_arg in type_args]) + + if origin is Union or origin is UnionType: + type_node = [convert_to_type_node(py_type_arg) for py_type_arg in get_args(py_type)] + assert len(type_node) > 1 + return UnionTypeNode(type_node) + + if origin is Literal: + type_node = [convert_literal_type_arg_to_type_node(py_type_arg) for py_type_arg in get_args(py_type)] + assert len(type_node) >= 1 + return UnionTypeNode(type_node) + + assert is_generic(py_type) + return convert_to_type_reference_node(py_type) + + if is_python_type_or_alias(py_type): + return convert_to_type_reference_node(py_type) + + if isinstance(py_type, TypeVar): + return convert_to_type_reference_node(py_type) + + errors.append(f"'{py_type}' cannot be used as a type annotation.") + return AnyTypeReferenceNode + + def declare_property(name: str, py_annotation: type | TypeAliasType, is_typeddict_attribute: bool, optionality_default: bool): + """ + Declare a property for a given type. + If 'optionality_default' is + """ + current_annotation: object = py_annotation + origin: object + optional: bool | None = None + comment: str | None = None + while origin := get_origin(current_annotation): + if origin is Annotated and comment is None: + current_annotation = cast(Annotatedish, current_annotation) + + for metadata in current_annotation.__metadata__: + if isinstance(metadata, Doc): + comment = metadata.documentation + break + if isinstance(metadata, str): + comment = metadata + break + + current_annotation = current_annotation.__origin__ + + elif origin is Required or origin is NotRequired: + if not is_typeddict_attribute: + errors.append(f"Optionality cannot be specified with {origin} outside of TypedDicts.") + + if optional is None: + optional = origin is NotRequired + else: + errors.append(f"{origin} cannot be used within another optionality annotation.") + + current_annotation = get_args(current_annotation)[0] + else: + break + + if optional is None: + optional = optionality_default + + type_annotation = convert_to_type_node(skip_annotations(current_annotation)) + return PropertyDeclarationNode(name, optional, comment or "", type_annotation) + + def reserve_name(val: type | TypeAliasType): + type_name = val.__name__ + if type_name in used_names: + errors.append(f"Cannot create a schema using two types with the same name. {type_name} conflicts between {val} and {used_names[type_name]}") + else: + used_names[type_name] = val + + def declare_type(py_type: object): + if (is_typeddict(py_type) or is_dataclass(py_type)) and isinstance(py_type, type): + comment = py_type.__doc__ or "" + + if hasattr(py_type, "__type_params__") and cast(GenericDeclarationish, py_type).__type_params__: + type_params = [ + TypeParameterDeclarationNode(type_param.__name__) + for type_param in cast(GenericDeclarationish, py_type).__type_params__ + ] + elif hasattr(py_type, "__parameters__") and cast(GenericDeclarationish, py_type).__parameters__: + type_params = [ + TypeParameterDeclarationNode(type_param.__name__) + for type_param in cast(GenericDeclarationish, py_type).__parameters__ + ] + else: + type_params = None + + annotated_members = get_type_hints(py_type, include_extras=True) + + raw_but_filtered_bases: list[type] = [ + base + for base in get_original_bases(py_type) + if not(base is object or base in _KNOWN_SPECIAL_BASES or get_origin(base) in _KNOWN_GENERIC_SPECIAL_FORMS) + ] + base_attributes: OrderedDict[str, set[object]] = OrderedDict() + for base in raw_but_filtered_bases: + for prop, type_hint in get_type_hints(get_origin(base) or base, include_extras=True).items(): + base_attributes.setdefault(prop, set()).add(type_hint) + bases = [convert_to_type_node(base) for base in raw_but_filtered_bases] + + properties: list[PropertyDeclarationNode | IndexSignatureDeclarationNode] = [] + if is_typeddict(py_type): + for attr_name, type_hint in annotated_members.items(): + if attribute_identical_in_all_bases(attr_name, type_hint, base_attributes): + continue + + assume_optional = cast(TypeOfTypedDict, py_type).__total__ is False + prop = declare_property(attr_name, type_hint, is_typeddict_attribute=True, optionality_default=assume_optional) + properties.append(prop) + else: + # When a dataclass is created with no explicit docstring, @dataclass will + # generate one for us; however, we don't want these in the default output. + cleaned_signature = str(inspect.signature(py_type)).replace(" -> None", "") + dataclass_doc = f"{py_type.__name__}{cleaned_signature}" + if comment == dataclass_doc: + comment = "" + + for attr_name, field in cast(Dataclassish, py_type).__dataclass_fields__.items(): + type_hint = annotated_members[attr_name] + optional = not(field.default is MISSING and field.default_factory is MISSING) + prop = declare_property(attr_name, type_hint, is_typeddict_attribute=False, optionality_default=optional) + properties.append(prop) + + reserve_name(py_type) + return InterfaceDeclarationNode(py_type.__name__, type_params, comment, bases, properties) + if isinstance(py_type, type): + errors.append(f"{py_type.__name__} was not a TypedDict, dataclass, or type alias, and cannot be translated.") + + reserve_name(py_type) + + return InterfaceDeclarationNode(py_type.__name__, None, "", None, []) + if is_type_alias_type(py_type): + type_params = [TypeParameterDeclarationNode(type_param.__name__) for type_param in py_type.__type_params__] + + reserve_name(py_type) + + return TypeAliasDeclarationNode( + py_type.__name__, + type_params, + f"Comment for {py_type.__name__}.", + convert_to_type_node(py_type.__value__), + ) + + raise RuntimeError(f"Cannot declare type {py_type}.") + + def attribute_identical_in_all_bases(attr_name: str, type_hint: object, base_attributes: dict[str, set[object]]) -> bool: + """ + We typically want to omit attributes with type hints that are + identical to those declared in all base types. + """ + return attr_name in base_attributes and len(base_attributes[attr_name]) == 1 and type_hint in base_attributes[attr_name] + + def get_type_argument_nodes(py_type: object, count: int, default: TypeNode) -> list[TypeNode]: + py_type_args = get_args(py_type) + result: list[TypeNode] = [] + if len(py_type_args) != count: + errors.append(f"Expected '{count}' type arguments for '{py_type}'.") + for i in range(count): + if i < len(py_type_args): + type_node = convert_to_type_node(py_type_args[i]) + else: + type_node = default + result.append(type_node) + return result + + while undeclared_types: + py_type = undeclared_types.popitem()[0] + declared_types[py_type] = None + declared_types[py_type] = declare_type(py_type) + + type_declarations = cast(list[TopLevelDeclarationNode], list(declared_types.values())) + assert None not in type_declarations + + return TypeScriptNodeTranslationResult(type_declarations, errors) diff --git a/typechat/_internal/ts_conversion/ts_node_to_string.py b/typechat/_internal/ts_conversion/ts_node_to_string.py new file mode 100644 index 0000000..cff19dd --- /dev/null +++ b/typechat/_internal/ts_conversion/ts_node_to_string.py @@ -0,0 +1,96 @@ +import json +from typing_extensions import assert_never + +from typechat._internal.ts_conversion.ts_type_nodes import ( + ArrayTypeNode, + IdentifierNode, + IndexSignatureDeclarationNode, + InterfaceDeclarationNode, + LiteralTypeNode, + NullTypeReferenceNode, + PropertyDeclarationNode, + TopLevelDeclarationNode, + TupleTypeNode, + TypeAliasDeclarationNode, + TypeNode, + TypeReferenceNode, + UnionTypeNode, +) + + +def comment_to_str(comment_text: str, indentation: str) -> str: + comment_text = comment_text.strip() + if not comment_text: + return "" + lines = [line.strip() for line in comment_text.splitlines()] + + return "\n".join([f"{indentation}// {line}" for line in lines]) + "\n" + + +def ts_type_to_str(type_node: TypeNode) -> str: + match type_node: + case TypeReferenceNode(name, type_arguments): + assert isinstance(name, IdentifierNode) + if type_arguments is None: + return name.text + return f"{name.text}<{', '.join([ts_type_to_str(arg) for arg in type_arguments])}>" + case ArrayTypeNode(element_type): + assert type(element_type) is not UnionTypeNode + # if type(element_type) is UnionTypeNode: + # return f"Array<{ts_type_to_str(element_type)}>" + return f"{ts_type_to_str(element_type)}[]" + case TupleTypeNode(element_types): + return f"[{', '.join([ts_type_to_str(element_type) for element_type in element_types])}]" + case UnionTypeNode(types): + # Remove duplicates, but try to preserve order of types, + # and put null at the end if it's present. + str_set: set[str] = set() + type_strs: list[str] = [] + nullable = False + for type_node in types: + if type_node is NullTypeReferenceNode: + nullable = True + continue + type_str = ts_type_to_str(type_node) + if type_str not in str_set: + str_set.add(type_str) + type_strs.append(type_str) + if nullable: + type_strs.append("null") + return " | ".join(type_strs) + case LiteralTypeNode(value): + return json.dumps(value) + # case _: + # raise NotImplementedError(f"Unhandled type {type(type_node)}") + assert_never(type_node) + +def object_member_to_str(member: PropertyDeclarationNode | IndexSignatureDeclarationNode) -> str: + match member: + case PropertyDeclarationNode(name, is_optional, comment, annotation): + comment = comment_to_str(comment, " ") + if not name.isidentifier(): + name = json.dumps(name) + return f"{comment} {name}{'?' if is_optional else ''}: {ts_type_to_str(annotation)};" + case IndexSignatureDeclarationNode(key_type, value_type): + return f"[key: {ts_type_to_str(key_type)}]: {ts_type_to_str(value_type)};" + # case _: + # raise NotImplementedError(f"Unhandled member type {type(member)}") + assert_never(member) + + +def ts_declaration_to_str(declaration: TopLevelDeclarationNode) -> str: + match declaration: + case InterfaceDeclarationNode(name, type_parameters, comment, base_types, members): + comment = comment_to_str(comment, "") + type_param_str = f"<{', '.join([param.name for param in type_parameters])}>" if type_parameters else "" + base_type_str = ( + f" extends {', '.join([ts_type_to_str(base_type) for base_type in base_types])}" if base_types else "" + ) + members_str = "\n".join([f"{object_member_to_str(member)}" for member in members]) + "\n" if members else "" + return f"{comment}interface {name}{type_param_str}{base_type_str} {{\n{members_str}}}\n" + case TypeAliasDeclarationNode(name, type_parameters, comment, target): + type_param_str = f"<{', '.join([param.name for param in type_parameters])}>" if type_parameters else "" + return f"type {name}{type_param_str} = {ts_type_to_str(target)}\n" + # case _: + # raise NotImplementedError(f"Unhandled declaration type {type(declaration)}") + assert_never(declaration) diff --git a/typechat/_internal/ts_conversion/ts_type_nodes.py b/typechat/_internal/ts_conversion/ts_type_nodes.py new file mode 100644 index 0000000..512769f --- /dev/null +++ b/typechat/_internal/ts_conversion/ts_type_nodes.py @@ -0,0 +1,78 @@ +from __future__ import annotations + +from dataclasses import dataclass +from typing_extensions import TypeAlias + +TypeNode: TypeAlias = "TypeReferenceNode | UnionTypeNode | LiteralTypeNode | ArrayTypeNode | TupleTypeNode" + +@dataclass +class IdentifierNode: + text: str + +@dataclass +class QualifiedNameNode: + left: QualifiedNameNode | IdentifierNode + right: IdentifierNode + +@dataclass +class TypeReferenceNode: + name: QualifiedNameNode | IdentifierNode + type_arguments: list[TypeNode] | None = None + +@dataclass +class UnionTypeNode: + types: list[TypeNode] + +@dataclass +class LiteralTypeNode: + value: str | int | float | bool + +@dataclass +class ArrayTypeNode: + element_type: TypeNode + +@dataclass +class TupleTypeNode: + element_types: list[TypeNode] + +@dataclass +class InterfaceDeclarationNode: + name: str + type_parameters: list[TypeParameterDeclarationNode] | None + comment: str + base_types: list[TypeNode] | None + members: list[PropertyDeclarationNode | IndexSignatureDeclarationNode] + +@dataclass +class TypeParameterDeclarationNode: + name: str + constraint: TypeNode | None = None + +@dataclass +class PropertyDeclarationNode: + name: str + is_optional: bool + comment: str + type: TypeNode + +@dataclass +class IndexSignatureDeclarationNode: + key_type: TypeNode + value_type: TypeNode + +@dataclass +class TypeAliasDeclarationNode: + name: str + type_parameters: list[TypeParameterDeclarationNode] | None + comment: str + type: TypeNode + +TopLevelDeclarationNode: TypeAlias = "InterfaceDeclarationNode | TypeAliasDeclarationNode" + +StringTypeReferenceNode = TypeReferenceNode(IdentifierNode("string")) +NumberTypeReferenceNode = TypeReferenceNode(IdentifierNode("number")) +BooleanTypeReferenceNode = TypeReferenceNode(IdentifierNode("boolean")) +AnyTypeReferenceNode = TypeReferenceNode(IdentifierNode("any")) +NullTypeReferenceNode = TypeReferenceNode(IdentifierNode("null")) +NeverTypeReferenceNode = TypeReferenceNode(IdentifierNode("never")) +ThisTypeReferenceNode = TypeReferenceNode(IdentifierNode("this")) diff --git a/typechat/_internal/validator.py b/typechat/_internal/validator.py new file mode 100644 index 0000000..a1d17f1 --- /dev/null +++ b/typechat/_internal/validator.py @@ -0,0 +1,67 @@ +import json +from typing_extensions import Generic, TypeVar + +import pydantic +import pydantic_core + +from typechat._internal.result import Failure, Result, Success + +T = TypeVar("T", covariant=True) + +class TypeChatValidator(Generic[T]): + """ + Validates an object against a given Python type. + """ + + _adapted_type: pydantic.TypeAdapter[T] + + def __init__(self, py_type: type[T]): + """ + Args: + + py_type: The schema type to validate against. + """ + super().__init__() + self._adapted_type = pydantic.TypeAdapter(py_type) + + def validate_object(self, obj: object) -> Result[T]: + """ + Validates the given Python object according to the associated schema type. + + Returns a `Success[T]` object containing the object if validation was successful. + Otherwise, returns a `Failure` object with a `message` property describing the error. + """ + try: + # TODO: Switch to `validate_python` when validation modes are exposed. + # https://github.com/pydantic/pydantic-core/issues/712 + # We'd prefer to keep `validate_object` as the core method and + # allow translators to concern themselves with the JSON instead. + # However, under Pydantic's `strict` mode, a `dict` isn't considered compatible + # with a dataclass. So for now, jump back to JSON and validate the string. + json_str = pydantic_core.to_json(obj) + typed_dict = self._adapted_type.validate_json(json_str, strict=True) + return Success(typed_dict) + except pydantic.ValidationError as validation_error: + return _handle_error(validation_error) + + +def _handle_error(validation_error: pydantic.ValidationError) -> Failure: + error_strings: list[str] = [] + for error in validation_error.errors(include_url=False): + error_string = "" + loc_path = error["loc"] + if loc_path: + error_string += f"Validation path `{'.'.join(map(str, loc_path))}` " + else: + error_string += "Root validation " + input = error["input"] + error_string += f"failed for value `{json.dumps(input)}` because:\n {error['msg']}" + error_strings.append(error_string) + + if len(error_strings) > 1: + failure_message = "Several possible issues may have occurred with the given data.\n\n" + else: + failure_message = "" + failure_message += "\n".join(error_strings) + + return Failure(failure_message) diff --git a/typechat/py.typed b/typechat/py.typed new file mode 100644 index 0000000..e69de29 From 241e8f8c9e4bbedb14b2cad0300ce8cfafe59d31 Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Wed, 17 Sep 2025 12:10:32 +0100 Subject: [PATCH 09/39] Bump version to 0.1.1 --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 3102a5d..ce151e9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "typeagent-py" -version = "0.1.0" +version = "0.1.1" description = "TypeAgent implements an agentic memory framework." authors = [ { name = "Guido van Rossum", email = "gvanrossum@microsoft.com" }, From 11868ca461dcff1222f38344fac8678c4a95f21b Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Wed, 17 Sep 2025 13:30:20 +0100 Subject: [PATCH 10/39] Add copyright notices to typechat files (not ideal, since most files use SPDX-...) --- tools/add_copyright.py | 224 ++++++++++++++++++ typechat/__about__.py | 3 + typechat/__init__.py | 3 + typechat/_internal/__init__.py | 2 + typechat/_internal/interactive.py | 3 + typechat/_internal/model.py | 3 + typechat/_internal/result.py | 3 + typechat/_internal/translator.py | 3 + typechat/_internal/ts_conversion/__init__.py | 3 + .../ts_conversion/python_type_to_ts_nodes.py | 3 + .../ts_conversion/ts_node_to_string.py | 3 + .../_internal/ts_conversion/ts_type_nodes.py | 3 + typechat/_internal/validator.py | 3 + 13 files changed, 259 insertions(+) create mode 100644 tools/add_copyright.py diff --git a/tools/add_copyright.py b/tools/add_copyright.py new file mode 100644 index 0000000..d6c0205 --- /dev/null +++ b/tools/add_copyright.py @@ -0,0 +1,224 @@ +#!/usr/bin/env python3 +""" +Script to add Microsoft copyright notice to files that don't already have one. + +Usage: + python add_copyright.py file1.py file2.py ... + python add_copyright.py --glob "**/*.py" + python add_copyright.py --help +""" + +import argparse +import glob +import os +import sys +from pathlib import Path +from typing import List, Tuple + + +COPYRIGHT_NOTICE = """# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License.""" + + +def has_copyright_notice(content: str) -> bool: + """Check if the file already contains a Microsoft copyright notice.""" + lines = content.split('\n') + + # Check first few lines for copyright notice + for i in range(min(10, len(lines))): + line = lines[i].strip() + if 'Copyright (c) Microsoft Corporation' in line: + return True + + return False + + +def should_add_blank_line(content: str, insert_pos: int) -> bool: + """Determine if we should add a blank line after the copyright notice.""" + lines = content.split('\n') + + # If inserting at the very end of file, don't add blank line + if insert_pos >= len(lines): + return False + + # If the next line after insertion point is already blank, don't add another + if insert_pos < len(lines) and lines[insert_pos].strip() == '': + return False + + # If inserting at the end and file doesn't end with newline, don't add blank line + if insert_pos == len(lines) - 1 and not content.endswith('\n'): + return False + + return True + + +def find_insertion_point(content: str) -> int: + """Find where to insert the copyright notice.""" + lines = content.split('\n') + + if not lines: + return 0 + + insert_line = 0 + + # Skip shebang line if present + if lines[0].startswith('#!'): + insert_line = 1 + + # Skip encoding declarations like # -*- coding: utf-8 -*- + if insert_line < len(lines) and 'coding:' in lines[insert_line]: + insert_line += 1 + elif insert_line < len(lines) and 'coding=' in lines[insert_line]: + insert_line += 1 + + return insert_line + + +def add_copyright_to_file(file_path: Path) -> bool: + """ + Add copyright notice to a single file. + + Returns True if the file was modified, False otherwise. + """ + try: + # Read the file + with open(file_path, 'r', encoding='utf-8') as f: + content = f.read() + except (UnicodeDecodeError, PermissionError) as e: + print(f"Skipping {file_path}: {e}") + return False + + # Check if copyright notice already exists + if has_copyright_notice(content): + print(f"Skipping {file_path}: Already has copyright notice") + return False + + # Find where to insert the copyright notice + lines = content.split('\n') + insert_pos = find_insertion_point(content) + + # Prepare the copyright lines + copyright_lines = COPYRIGHT_NOTICE.split('\n') + + # Add blank line after copyright if needed + if should_add_blank_line(content, insert_pos): + copyright_lines.append('') + + # Insert the copyright notice + new_lines = lines[:insert_pos] + copyright_lines + lines[insert_pos:] + new_content = '\n'.join(new_lines) + + # Write back to file + try: + with open(file_path, 'w', encoding='utf-8') as f: + f.write(new_content) + print(f"Added copyright notice to {file_path}") + return True + except PermissionError as e: + print(f"Error writing to {file_path}: {e}") + return False + + +def expand_glob_patterns(patterns: List[str]) -> List[Path]: + """Expand glob patterns to actual file paths.""" + files = [] + for pattern in patterns: + if '*' in pattern or '?' in pattern: + # It's a glob pattern + matches = glob.glob(pattern, recursive=True) + for match in matches: + path = Path(match) + if path.is_file(): + files.append(path) + else: + # It's a regular file path + path = Path(pattern) + if path.is_file(): + files.append(path) + elif path.exists(): + print(f"Warning: {pattern} is not a file, skipping") + else: + print(f"Warning: {pattern} does not exist, skipping") + + return files + + +def main(): + parser = argparse.ArgumentParser( + description="Add Microsoft copyright notice to files that don't have one", + formatter_class=argparse.RawDescriptionHelpFormatter, + epilog=""" +Examples: + python add_copyright.py file1.py file2.py + python add_copyright.py --glob "**/*.py" + python add_copyright.py --glob "src/**/*.ts" --glob "tests/**/*.py" + """ + ) + + parser.add_argument( + 'files', + nargs='*', + help='Files to process (can be file paths or glob patterns)' + ) + + parser.add_argument( + '--glob', + action='append', + dest='glob_patterns', + help='Glob pattern for files to process (can be used multiple times)' + ) + + parser.add_argument( + '--dry-run', + action='store_true', + help='Show what would be done without making changes' + ) + + args = parser.parse_args() + + # Collect all file patterns + all_patterns = args.files or [] + if args.glob_patterns: + all_patterns.extend(args.glob_patterns) + + if not all_patterns: + parser.print_help() + return 1 + + # Expand patterns to actual files + files = expand_glob_patterns(all_patterns) + + if not files: + print("No files found matching the given patterns") + return 1 + + print(f"Processing {len(files)} files...") + + modified_count = 0 + + for file_path in files: + if args.dry_run: + try: + with open(file_path, 'r', encoding='utf-8') as f: + content = f.read() + if not has_copyright_notice(content): + print(f"Would add copyright notice to {file_path}") + modified_count += 1 + else: + print(f"Would skip {file_path}: Already has copyright notice") + except Exception as e: + print(f"Would skip {file_path}: {e}") + else: + if add_copyright_to_file(file_path): + modified_count += 1 + + if args.dry_run: + print(f"\nDry run complete. Would modify {modified_count} files.") + else: + print(f"\nComplete. Modified {modified_count} files.") + + return 0 + + +if __name__ == '__main__': + sys.exit(main()) \ No newline at end of file diff --git a/typechat/__about__.py b/typechat/__about__.py index e4e1946..cf17b76 100644 --- a/typechat/__about__.py +++ b/typechat/__about__.py @@ -1,3 +1,6 @@ +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. + # SPDX-FileCopyrightText: Microsoft Corporation # # SPDX-License-Identifier: MIT diff --git a/typechat/__init__.py b/typechat/__init__.py index e2267ed..6a5573a 100644 --- a/typechat/__init__.py +++ b/typechat/__init__.py @@ -1,3 +1,6 @@ +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. + # SPDX-FileCopyrightText: Microsoft Corporation # # SPDX-License-Identifier: MIT diff --git a/typechat/_internal/__init__.py b/typechat/_internal/__init__.py index e69de29..59e481e 100644 --- a/typechat/_internal/__init__.py +++ b/typechat/_internal/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. diff --git a/typechat/_internal/interactive.py b/typechat/_internal/interactive.py index d6f2959..fbe168a 100644 --- a/typechat/_internal/interactive.py +++ b/typechat/_internal/interactive.py @@ -1,3 +1,6 @@ +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. + from typing import Callable, Awaitable async def process_requests(interactive_prompt: str, input_file_name: str | None, process_request: Callable[[str], Awaitable[None]]): diff --git a/typechat/_internal/model.py b/typechat/_internal/model.py index da52e30..917fce7 100644 --- a/typechat/_internal/model.py +++ b/typechat/_internal/model.py @@ -1,3 +1,6 @@ +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. + import asyncio from types import TracebackType from typing_extensions import AsyncContextManager, Literal, Protocol, Self, TypedDict, cast, override diff --git a/typechat/_internal/result.py b/typechat/_internal/result.py index a9578ce..d993e0f 100644 --- a/typechat/_internal/result.py +++ b/typechat/_internal/result.py @@ -1,3 +1,6 @@ +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. + from dataclasses import dataclass from typing_extensions import Generic, TypeAlias, TypeVar diff --git a/typechat/_internal/translator.py b/typechat/_internal/translator.py index ee07719..f242cea 100644 --- a/typechat/_internal/translator.py +++ b/typechat/_internal/translator.py @@ -1,3 +1,6 @@ +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. + from typing_extensions import Generic, TypeVar import pydantic_core diff --git a/typechat/_internal/ts_conversion/__init__.py b/typechat/_internal/ts_conversion/__init__.py index 30a0b53..6c0daf5 100644 --- a/typechat/_internal/ts_conversion/__init__.py +++ b/typechat/_internal/ts_conversion/__init__.py @@ -1,3 +1,6 @@ +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. + from dataclasses import dataclass from typing_extensions import TypeAliasType diff --git a/typechat/_internal/ts_conversion/python_type_to_ts_nodes.py b/typechat/_internal/ts_conversion/python_type_to_ts_nodes.py index e663be5..f2a34f3 100644 --- a/typechat/_internal/ts_conversion/python_type_to_ts_nodes.py +++ b/typechat/_internal/ts_conversion/python_type_to_ts_nodes.py @@ -1,3 +1,6 @@ +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. + from __future__ import annotations from collections import OrderedDict diff --git a/typechat/_internal/ts_conversion/ts_node_to_string.py b/typechat/_internal/ts_conversion/ts_node_to_string.py index cff19dd..20d11f4 100644 --- a/typechat/_internal/ts_conversion/ts_node_to_string.py +++ b/typechat/_internal/ts_conversion/ts_node_to_string.py @@ -1,3 +1,6 @@ +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. + import json from typing_extensions import assert_never diff --git a/typechat/_internal/ts_conversion/ts_type_nodes.py b/typechat/_internal/ts_conversion/ts_type_nodes.py index 512769f..2fd95cd 100644 --- a/typechat/_internal/ts_conversion/ts_type_nodes.py +++ b/typechat/_internal/ts_conversion/ts_type_nodes.py @@ -1,3 +1,6 @@ +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. + from __future__ import annotations from dataclasses import dataclass diff --git a/typechat/_internal/validator.py b/typechat/_internal/validator.py index a1d17f1..5e4fc75 100644 --- a/typechat/_internal/validator.py +++ b/typechat/_internal/validator.py @@ -1,3 +1,6 @@ +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. + import json from typing_extensions import Generic, TypeVar From 6757489ca3aaf99d94990b9d40defb4475fd075e Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Wed, 17 Sep 2025 13:30:58 +0100 Subject: [PATCH 11/39] v0.1.2-py --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index ce151e9..d622e11 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "typeagent-py" -version = "0.1.1" +version = "0.1.2" description = "TypeAgent implements an agentic memory framework." authors = [ { name = "Guido van Rossum", email = "gvanrossum@microsoft.com" }, From cc0f6bb70107adab39f5f9f43029145f2f76cd25 Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Wed, 17 Sep 2025 13:34:47 +0100 Subject: [PATCH 12/39] Oh, the irony! --- pyproject.toml | 2 +- tools/add_copyright.py | 3 +++ 2 files changed, 4 insertions(+), 1 deletion(-) mode change 100644 => 100755 tools/add_copyright.py diff --git a/pyproject.toml b/pyproject.toml index d622e11..0c96a94 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "typeagent-py" -version = "0.1.2" +version = "0.1.3" description = "TypeAgent implements an agentic memory framework." authors = [ { name = "Guido van Rossum", email = "gvanrossum@microsoft.com" }, diff --git a/tools/add_copyright.py b/tools/add_copyright.py old mode 100644 new mode 100755 index d6c0205..fe3cbd3 --- a/tools/add_copyright.py +++ b/tools/add_copyright.py @@ -1,4 +1,7 @@ #!/usr/bin/env python3 +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. + """ Script to add Microsoft copyright notice to files that don't already have one. From d74d26ce1255fe47baa920c40a4d991cdb4410bc Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Wed, 17 Sep 2025 13:49:59 +0100 Subject: [PATCH 13/39] A simple release script --- tools/release.py | 272 +++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 272 insertions(+) create mode 100755 tools/release.py diff --git a/tools/release.py b/tools/release.py new file mode 100755 index 0000000..d4a2be4 --- /dev/null +++ b/tools/release.py @@ -0,0 +1,272 @@ +#!/usr/bin/env python3 +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. + +""" +Release automation script for the TypeAgent Python package. + +This script: +1. Bumps the patch version (3rd part) in pyproject.toml +2. Commits the change +3. Creates a git tag in the format v{major}.{minor}.{patch}-py +4. Pushes the tags to trigger the GitHub Actions release workflow + +Usage: + python tools/release.py [--dry-run] [--help] +""" + +import argparse +import re +import subprocess +import sys +from pathlib import Path +from typing import Tuple + + +def run_command(cmd: list[str], dry_run: bool = False) -> Tuple[int, str]: + """ + Run a shell command and return (exit_code, output). + + Args: + cmd: Command as a list of strings + dry_run: If True, print what would be run without executing + + Returns: + Tuple of (exit_code, output_string) + """ + cmd_str = " ".join(cmd) + + if dry_run: + print(f"[DRY RUN] Would run: {cmd_str}") + return 0, "" + + print(f"Running: {cmd_str}") + + try: + result = subprocess.run( + cmd, + capture_output=True, + text=True, + check=False + ) + + if result.stdout: + print(result.stdout.strip()) + if result.stderr: + print(f"stderr: {result.stderr.strip()}", file=sys.stderr) + + return result.returncode, result.stdout.strip() + + except Exception as e: + print(f"Error running command: {e}", file=sys.stderr) + return 1, str(e) + + +def parse_version(version_str: str) -> Tuple[int, int, int]: + """ + Parse a semantic version string into (major, minor, patch). + + Args: + version_str: Version string like "0.1.3" + + Returns: + Tuple of (major, minor, patch) as integers + + Raises: + ValueError: If version format is invalid + """ + match = re.match(r'^(\d+)\.(\d+)\.(\d+)$', version_str.strip()) + if not match: + raise ValueError(f"Invalid version format: {version_str}") + + return int(match.group(1)), int(match.group(2)), int(match.group(3)) + + +def format_version(major: int, minor: int, patch: int) -> str: + """Format version components back into a version string.""" + return f"{major}.{minor}.{patch}" + + +def get_current_version(pyproject_path: Path) -> str: + """ + Extract the current version from pyproject.toml. + + Args: + pyproject_path: Path to the pyproject.toml file + + Returns: + Current version string + + Raises: + FileNotFoundError: If pyproject.toml doesn't exist + ValueError: If version field is not found or invalid + """ + if not pyproject_path.exists(): + raise FileNotFoundError(f"pyproject.toml not found at {pyproject_path}") + + content = pyproject_path.read_text(encoding='utf-8') + + # Look for version = "x.y.z" in the [project] section + version_match = re.search(r'^version\s*=\s*["\']([^"\']+)["\']', content, re.MULTILINE) + + if not version_match: + raise ValueError("Version field not found in pyproject.toml") + + return version_match.group(1) + + +def update_version_in_pyproject(pyproject_path: Path, new_version: str, dry_run: bool = False) -> None: + """ + Update the version in pyproject.toml. + + Args: + pyproject_path: Path to the pyproject.toml file + new_version: New version string to set + dry_run: If True, show what would be changed without modifying the file + """ + content = pyproject_path.read_text(encoding='utf-8') + + # Replace the version field + new_content = re.sub( + r'^(version\s*=\s*["\'])[^"\']+(["\'])', + rf'\g<1>{new_version}\g<2>', + content, + flags=re.MULTILINE + ) + + if content == new_content: + raise ValueError("Failed to update version in pyproject.toml") + + if dry_run: + print(f"[DRY RUN] Would update version to {new_version} in {pyproject_path}") + return + + pyproject_path.write_text(new_content, encoding='utf-8') + print(f"Updated version to {new_version} in {pyproject_path}") + + +def check_git_status() -> bool: + """ + Check if the git working directory is clean. + + Returns: + True if working directory is clean, False otherwise + """ + exit_code, output = run_command(["git", "status", "--porcelain"]) + + if exit_code != 0: + print("Error: Failed to check git status", file=sys.stderr) + return False + + # If there's any output, the working directory is not clean + return len(output.strip()) == 0 + + +def main(): + parser = argparse.ArgumentParser( + description="Automate the release process for TypeAgent Python package", + formatter_class=argparse.RawDescriptionHelpFormatter, + epilog=""" +This script will: +1. Bump the patch version in pyproject.toml +2. Commit the change with message "Bump version to X.Y.Z" +3. Create a git tag "vX.Y.Z-py" +4. Push the tags to trigger the release workflow + +The script must be run from the python/ta directory. + """ + ) + + parser.add_argument( + '--dry-run', + action='store_true', + help='Show what would be done without making changes' + ) + + args = parser.parse_args() + + # Ensure we're in the right directory + current_dir = Path.cwd() + expected_files = ['pyproject.toml', 'tools'] + + for file_name in expected_files: + if not (current_dir / file_name).exists(): + print(f"Error: {file_name} not found. Please run this script from the python/ta directory.", file=sys.stderr) + return 1 + + pyproject_path = current_dir / 'pyproject.toml' + + # Check git status (unless dry run) + if not args.dry_run and not check_git_status(): + print("Error: Git working directory is not clean. Please commit or stash changes first.", file=sys.stderr) + return 1 + + try: + # Get current version + current_version = get_current_version(pyproject_path) + print(f"Current version: {current_version}") + + # Parse and bump version + major, minor, patch = parse_version(current_version) + new_patch = patch + 1 + new_version = format_version(major, minor, new_patch) + + print(f"New version: {new_version}") + + # Update pyproject.toml + update_version_in_pyproject(pyproject_path, new_version, args.dry_run) + + # Git commit + exit_code, _ = run_command([ + "git", "add", "pyproject.toml" + ], args.dry_run) + + if exit_code != 0: + print("Error: Failed to stage pyproject.toml", file=sys.stderr) + return 1 + + commit_message = f"Bump version to {new_version}" + exit_code, _ = run_command([ + "git", "commit", "-m", commit_message + ], args.dry_run) + + if exit_code != 0: + print("Error: Failed to commit changes", file=sys.stderr) + return 1 + + # Create git tag + tag_name = f"v{new_version}-py" + exit_code, _ = run_command([ + "git", "tag", tag_name + ], args.dry_run) + + if exit_code != 0: + print(f"Error: Failed to create tag {tag_name}", file=sys.stderr) + return 1 + + # Push tags + exit_code, _ = run_command([ + "git", "push", "--tags" + ], args.dry_run) + + if exit_code != 0: + print("Error: Failed to push tags", file=sys.stderr) + return 1 + + if args.dry_run: + print(f"\n[DRY RUN] Release process completed successfully!") + print(f"Would have created tag: {tag_name}") + else: + print(f"\nRelease process completed successfully!") + print(f"Created tag: {tag_name}") + print(f"The GitHub Actions release workflow should now be triggered.") + + return 0 + + except Exception as e: + print(f"Error: {e}", file=sys.stderr) + return 1 + + +if __name__ == '__main__': + sys.exit(main()) \ No newline at end of file From 9540ec0f88c9918c84eae609c88aeab28b2eb28b Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Wed, 17 Sep 2025 13:51:46 +0100 Subject: [PATCH 14/39] Bump version to 0.1.4 --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 0c96a94..29a0cf8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "typeagent-py" -version = "0.1.3" +version = "0.1.4" description = "TypeAgent implements an agentic memory framework." authors = [ { name = "Guido van Rossum", email = "gvanrossum@microsoft.com" }, From 8e714e4cc234dea890c7f2d50bd0723371c55421 Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Wed, 17 Sep 2025 17:23:26 +0100 Subject: [PATCH 15/39] Add readme option for long description --- pyproject.toml | 1 + 1 file changed, 1 insertion(+) diff --git a/pyproject.toml b/pyproject.toml index 29a0cf8..e4e65ab 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -6,6 +6,7 @@ build-backend = "setuptools.build_meta" name = "typeagent-py" version = "0.1.4" description = "TypeAgent implements an agentic memory framework." +readme = { file = "README.md", content-type = "text/markdown" } authors = [ { name = "Guido van Rossum", email = "gvanrossum@microsoft.com" }, { name = "Steven Lucco" }, From 24162956c1eedc5764bc1ad8b94212599d682f0f Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Wed, 17 Sep 2025 17:25:14 +0100 Subject: [PATCH 16/39] Bump version to 0.1.5 --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index e4e65ab..5403a15 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "typeagent-py" -version = "0.1.4" +version = "0.1.5" description = "TypeAgent implements an agentic memory framework." readme = { file = "README.md", content-type = "text/markdown" } authors = [ From 37de45d6a89b37f0d429e7b3cb0d5c41b2d425b4 Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Wed, 17 Sep 2025 18:23:34 +0100 Subject: [PATCH 17/39] Add data file to wheel --- pyproject.toml | 3 +++ uv.lock | 2 +- 2 files changed, 4 insertions(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 5403a15..62355aa 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -54,6 +54,9 @@ packages = [ "typechat._internal.ts_conversion", ] +[tool.setuptools.package-data] +"typeagent.podcasts" = ["*.json"] + [tool.pytest.ini_options] asyncio_default_fixture_loop_scope = "function" diff --git a/uv.lock b/uv.lock index d9f4f52..f2a5455 100644 --- a/uv.lock +++ b/uv.lock @@ -1222,7 +1222,7 @@ wheels = [ [[package]] name = "typeagent-py" -version = "0.1.0" +version = "0.1.5" source = { editable = "." } dependencies = [ { name = "azure-identity" }, From 8f4f6841176ed96489959330f81a62dd787b7781 Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Wed, 17 Sep 2025 18:24:40 +0100 Subject: [PATCH 18/39] Bump version to 0.1.6 --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 62355aa..703b916 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "typeagent-py" -version = "0.1.5" +version = "0.1.6" description = "TypeAgent implements an agentic memory framework." readme = { file = "README.md", content-type = "text/markdown" } authors = [ From 1fccb0af6364c292f101546c841cabcf53047d6a Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Fri, 19 Sep 2025 22:41:41 +0200 Subject: [PATCH 19/39] Remove typechat from remo -- we'll get it from PyPI --- pyproject.toml | 6 - typechat/__about__.py | 7 - typechat/__init__.py | 28 -- typechat/_internal/__init__.py | 2 - typechat/_internal/interactive.py | 40 -- typechat/_internal/model.py | 187 -------- typechat/_internal/result.py | 24 - typechat/_internal/translator.py | 128 ----- typechat/_internal/ts_conversion/__init__.py | 40 -- .../ts_conversion/python_type_to_ts_nodes.py | 450 ------------------ .../ts_conversion/ts_node_to_string.py | 99 ---- .../_internal/ts_conversion/ts_type_nodes.py | 81 ---- typechat/_internal/validator.py | 70 --- typechat/py.typed | 0 uv.lock | 10 +- 15 files changed, 7 insertions(+), 1165 deletions(-) delete mode 100644 typechat/__about__.py delete mode 100644 typechat/__init__.py delete mode 100644 typechat/_internal/__init__.py delete mode 100644 typechat/_internal/interactive.py delete mode 100644 typechat/_internal/model.py delete mode 100644 typechat/_internal/result.py delete mode 100644 typechat/_internal/translator.py delete mode 100644 typechat/_internal/ts_conversion/__init__.py delete mode 100644 typechat/_internal/ts_conversion/python_type_to_ts_nodes.py delete mode 100644 typechat/_internal/ts_conversion/ts_node_to_string.py delete mode 100644 typechat/_internal/ts_conversion/ts_type_nodes.py delete mode 100644 typechat/_internal/validator.py delete mode 100644 typechat/py.typed diff --git a/pyproject.toml b/pyproject.toml index 703b916..d44b4b8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -49,9 +49,6 @@ packages = [ "typeagent.storage", "typeagent.storage.memory", "typeagent.storage.sqlite", - "typechat", - "typechat._internal", - "typechat._internal.ts_conversion", ] [tool.setuptools.package-data] @@ -59,6 +56,3 @@ packages = [ [tool.pytest.ini_options] asyncio_default_fixture_loop_scope = "function" - -[tool.uv.sources] -typechat = { git = "https://github.com/microsoft/TypeChat", subdirectory = "python" } diff --git a/typechat/__about__.py b/typechat/__about__.py deleted file mode 100644 index cf17b76..0000000 --- a/typechat/__about__.py +++ /dev/null @@ -1,7 +0,0 @@ -# Copyright (c) Microsoft Corporation. -# Licensed under the MIT License. - -# SPDX-FileCopyrightText: Microsoft Corporation -# -# SPDX-License-Identifier: MIT -__version__ = "0.0.2" diff --git a/typechat/__init__.py b/typechat/__init__.py deleted file mode 100644 index 6a5573a..0000000 --- a/typechat/__init__.py +++ /dev/null @@ -1,28 +0,0 @@ -# Copyright (c) Microsoft Corporation. -# Licensed under the MIT License. - -# SPDX-FileCopyrightText: Microsoft Corporation -# -# SPDX-License-Identifier: MIT - -from typechat._internal.model import PromptSection, TypeChatLanguageModel, create_language_model, create_openai_language_model, create_azure_openai_language_model -from typechat._internal.result import Failure, Result, Success -from typechat._internal.translator import TypeChatJsonTranslator -from typechat._internal.ts_conversion import python_type_to_typescript_schema -from typechat._internal.validator import TypeChatValidator -from typechat._internal.interactive import process_requests - -__all__ = [ - "TypeChatLanguageModel", - "TypeChatJsonTranslator", - "TypeChatValidator", - "Success", - "Failure", - "Result", - "python_type_to_typescript_schema", - "PromptSection", - "create_language_model", - "create_openai_language_model", - "create_azure_openai_language_model", - "process_requests", -] diff --git a/typechat/_internal/__init__.py b/typechat/_internal/__init__.py deleted file mode 100644 index 59e481e..0000000 --- a/typechat/_internal/__init__.py +++ /dev/null @@ -1,2 +0,0 @@ -# Copyright (c) Microsoft Corporation. -# Licensed under the MIT License. diff --git a/typechat/_internal/interactive.py b/typechat/_internal/interactive.py deleted file mode 100644 index fbe168a..0000000 --- a/typechat/_internal/interactive.py +++ /dev/null @@ -1,40 +0,0 @@ -# Copyright (c) Microsoft Corporation. -# Licensed under the MIT License. - -from typing import Callable, Awaitable - -async def process_requests(interactive_prompt: str, input_file_name: str | None, process_request: Callable[[str], Awaitable[None]]): - """ - A request processor for interactive input or input from a text file. If an input file name is specified, - the callback function is invoked for each line in file. Otherwise, the callback function is invoked for - each line of interactive input until the user types "quit" or "exit". - - Args: - interactive_prompt: Prompt to present to user. - input_file_name: Input text file name, if any. - process_request: Async callback function that is invoked for each interactive input or each line in text file. - """ - if input_file_name is not None: - with open(input_file_name, "r") as file: - lines = filter(str.rstrip, file) - for line in lines: - if line.startswith("# "): - continue - print(interactive_prompt + line) - await process_request(line) - else: - try: - # Use readline to enable input editing and history - import readline # type: ignore - except ImportError: - pass - while True: - try: - line = input(interactive_prompt) - except EOFError: - print("\n") - break - if line.lower().strip() in ("quit", "exit"): - break - else: - await process_request(line) diff --git a/typechat/_internal/model.py b/typechat/_internal/model.py deleted file mode 100644 index 917fce7..0000000 --- a/typechat/_internal/model.py +++ /dev/null @@ -1,187 +0,0 @@ -# Copyright (c) Microsoft Corporation. -# Licensed under the MIT License. - -import asyncio -from types import TracebackType -from typing_extensions import AsyncContextManager, Literal, Protocol, Self, TypedDict, cast, override - -from typechat._internal.result import Failure, Result, Success - -import httpx - -class PromptSection(TypedDict): - """ - Represents a section of an LLM prompt with an associated role. TypeChat uses the "user" role for - prompts it generates and the "assistant" role for previous LLM responses (which will be part of - the prompt in repair attempts). TypeChat currently doesn't use the "system" role. - """ - role: Literal["system", "user", "assistant"] - content: str - -class TypeChatLanguageModel(Protocol): - async def complete(self, prompt: str | list[PromptSection]) -> Result[str]: - """ - Represents a AI language model that can complete prompts. - - TypeChat uses an implementation of this protocol to communicate - with an AI service that can translate natural language requests to JSON - instances according to a provided schema. - The `create_language_model` function can create an instance. - """ - ... - -_TRANSIENT_ERROR_CODES = [ - 429, - 500, - 502, - 503, - 504, -] - -class HttpxLanguageModel(TypeChatLanguageModel, AsyncContextManager): - url: str - headers: dict[str, str] - default_params: dict[str, str] - # Specifies the maximum number of retry attempts. - max_retry_attempts: int = 3 - # Specifies the delay before retrying in milliseconds. - retry_pause_seconds: float = 1.0 - # Specifies how long a request should wait in seconds - # before timing out with a Failure. - timeout_seconds = 10 - _async_client: httpx.AsyncClient - - def __init__(self, url: str, headers: dict[str, str], default_params: dict[str, str]): - super().__init__() - self.url = url - self.headers = headers - self.default_params = default_params - self._async_client = httpx.AsyncClient() - - @override - async def complete(self, prompt: str | list[PromptSection]) -> Success[str] | Failure: - headers = { - "Content-Type": "application/json", - **self.headers, - } - - if isinstance(prompt, str): - prompt = [{"role": "user", "content": prompt}] - - body = { - **self.default_params, - "messages": prompt, - "temperature": 0.0, - "n": 1, - } - retry_count = 0 - while True: - try: - response = await self._async_client.post( - self.url, - headers=headers, - json=body, - timeout=self.timeout_seconds - ) - if response.is_success: - json_result = cast( - dict[Literal["choices"], list[dict[Literal["message"], PromptSection]]], - response.json() - ) - return Success(json_result["choices"][0]["message"]["content"] or "") - - if response.status_code not in _TRANSIENT_ERROR_CODES or retry_count >= self.max_retry_attempts: - return Failure(f"REST API error {response.status_code}: {response.reason_phrase}") - except Exception as e: - if retry_count >= self.max_retry_attempts: - return Failure(str(e) or f"{repr(e)} raised from within internal TypeChat language model.") - - await asyncio.sleep(self.retry_pause_seconds) - retry_count += 1 - - @override - async def __aenter__(self) -> Self: - return self - - @override - async def __aexit__(self, __exc_type: type[BaseException] | None, __exc_value: BaseException | None, __traceback: TracebackType | None) -> bool | None: - await self._async_client.aclose() - - def __del__(self): - try: - asyncio.get_running_loop().create_task(self._async_client.aclose()) - except Exception: - pass - -def create_language_model(vals: dict[str, str | None]) -> HttpxLanguageModel: - """ - Creates a language model encapsulation of an OpenAI or Azure OpenAI REST API endpoint - chosen by a dictionary of variables (typically just `os.environ`). - - If an `OPENAI_API_KEY` environment variable exists, an OpenAI model is constructed. - The `OPENAI_ENDPOINT` and `OPENAI_MODEL` environment variables must also be defined or an error will be raised. - - If an `AZURE_OPENAI_API_KEY` environment variable exists, an Azure OpenAI model is constructed. - The `AZURE_OPENAI_ENDPOINT` environment variable must also be defined or an exception will be thrown. - - If none of these key variables are defined, an exception is thrown. - @returns An instance of `TypeChatLanguageModel`. - - Args: - vals: A dictionary of variables. Typically just `os.environ`. - """ - - def required_var(name: str) -> str: - val = vals.get(name, None) - if val is None: - raise ValueError(f"Missing environment variable {name}.") - return val - - if "OPENAI_API_KEY" in vals: - api_key = required_var("OPENAI_API_KEY") - model = required_var("OPENAI_MODEL") - endpoint = vals.get("OPENAI_ENDPOINT", None) or "https://api.openai.com/v1/chat/completions" - org = vals.get("OPENAI_ORG", None) or "" - return create_openai_language_model(api_key, model, endpoint, org) - - elif "AZURE_OPENAI_API_KEY" in vals: - api_key=required_var("AZURE_OPENAI_API_KEY") - endpoint=required_var("AZURE_OPENAI_ENDPOINT") - return create_azure_openai_language_model(api_key, endpoint) - else: - raise ValueError("Missing environment variables for OPENAI_API_KEY or AZURE_OPENAI_API_KEY.") - -def create_openai_language_model(api_key: str, model: str, endpoint: str = "https://api.openai.com/v1/chat/completions", org: str = "") -> HttpxLanguageModel: - """ - Creates a language model encapsulation of an OpenAI REST API endpoint. - - Args: - api_key: The OpenAI API key. - model: The OpenAI model name. - endpoint: The OpenAI REST API endpoint. - org: The OpenAI organization. - """ - headers = { - "Authorization": f"Bearer {api_key}", - "OpenAI-Organization": org, - } - default_params = { - "model": model, - } - return HttpxLanguageModel(url=endpoint, headers=headers, default_params=default_params) - -def create_azure_openai_language_model(api_key: str, endpoint: str) -> HttpxLanguageModel: - """ - Creates a language model encapsulation of an Azure OpenAI REST API endpoint. - - Args: - api_key: The Azure OpenAI API key. - endpoint: The Azure OpenAI REST API endpoint. - """ - headers = { - # Needed when using managed identity - "Authorization": f"Bearer {api_key}", - # Needed when using regular API key - "api-key": api_key, - } - return HttpxLanguageModel(url=endpoint, headers=headers, default_params={}) diff --git a/typechat/_internal/result.py b/typechat/_internal/result.py deleted file mode 100644 index d993e0f..0000000 --- a/typechat/_internal/result.py +++ /dev/null @@ -1,24 +0,0 @@ -# Copyright (c) Microsoft Corporation. -# Licensed under the MIT License. - -from dataclasses import dataclass -from typing_extensions import Generic, TypeAlias, TypeVar - -T = TypeVar("T", covariant=True) - -@dataclass -class Success(Generic[T]): - "An object representing a successful operation with a result of type `T`." - value: T - - -@dataclass -class Failure: - "An object representing an operation that failed for the reason given in `message`." - message: str - - -""" -An object representing a successful or failed operation of type `T`. -""" -Result: TypeAlias = Success[T] | Failure diff --git a/typechat/_internal/translator.py b/typechat/_internal/translator.py deleted file mode 100644 index f242cea..0000000 --- a/typechat/_internal/translator.py +++ /dev/null @@ -1,128 +0,0 @@ -# Copyright (c) Microsoft Corporation. -# Licensed under the MIT License. - -from typing_extensions import Generic, TypeVar - -import pydantic_core - -from typechat._internal.model import PromptSection, TypeChatLanguageModel -from typechat._internal.result import Failure, Result, Success -from typechat._internal.ts_conversion import python_type_to_typescript_schema -from typechat._internal.validator import TypeChatValidator - -T = TypeVar("T", covariant=True) - -class TypeChatJsonTranslator(Generic[T]): - """ - Represents an object that can translate natural language requests in JSON objects of the given type. - """ - - model: TypeChatLanguageModel - validator: TypeChatValidator[T] - target_type: type[T] - type_name: str - schema_str: str - _max_repair_attempts = 1 - - def __init__( - self, - model: TypeChatLanguageModel, - validator: TypeChatValidator[T], - target_type: type[T], - *, # keyword-only parameters follow - _raise_on_schema_errors: bool = True, - ): - """ - Args: - model: The associated `TypeChatLanguageModel`. - validator: The associated `TypeChatValidator[T]`. - target_type: A runtime type object describing `T` - the expected shape of JSON data. - """ - super().__init__() - self.model = model - self.validator = validator - self.target_type = target_type - - conversion_result = python_type_to_typescript_schema(target_type) - - if _raise_on_schema_errors and conversion_result.errors: - error_text = "".join(f"\n- {error}" for error in conversion_result.errors) - raise ValueError(f"Could not convert Python type to TypeScript schema: \n{error_text}") - - self.type_name = conversion_result.typescript_type_reference - self.schema_str = conversion_result.typescript_schema_str - - async def translate(self, input: str, *, prompt_preamble: str | list[PromptSection] | None = None) -> Result[T]: - """ - Translates a natural language request into an object of type `T`. If the JSON object returned by - the language model fails to validate, repair attempts will be made up until `_max_repair_attempts`. - The prompt for the subsequent attempts will include the diagnostics produced for the prior attempt. - This often helps produce a valid instance. - - Args: - input: A natural language request. - prompt_preamble: An optional string or list of prompt sections to prepend to the generated prompt.\ - If a string is given, it is converted to a single "user" role prompt section. - """ - - messages: list[PromptSection] = [] - - if prompt_preamble: - if isinstance(prompt_preamble, str): - prompt_preamble = [{"role": "user", "content": prompt_preamble}] - messages.extend(prompt_preamble) - - messages.append({"role": "user", "content": self._create_request_prompt(input)}) - - num_repairs_attempted = 0 - while True: - completion_response = await self.model.complete(messages) - if isinstance(completion_response, Failure): - return completion_response - - text_response = completion_response.value - first_curly = text_response.find("{") - last_curly = text_response.rfind("}") + 1 - error_message: str - if 0 <= first_curly < last_curly: - trimmed_response = text_response[first_curly:last_curly] - try: - parsed_response = pydantic_core.from_json(trimmed_response, allow_inf_nan=False, cache_strings=False) - except ValueError as e: - error_message = f"Error: {e}\n\nAttempted to parse:\n\n{trimmed_response}" - else: - result = self.validator.validate_object(parsed_response) - if isinstance(result, Success): - return result - error_message = result.message - else: - error_message = f"Response did not contain any text resembling JSON.\nResponse was\n\n{text_response}" - if num_repairs_attempted >= self._max_repair_attempts: - return Failure(error_message) - num_repairs_attempted += 1 - messages.append({"role": "assistant", "content": text_response}) - messages.append({"role": "user", "content": self._create_repair_prompt(error_message)}) - - def _create_request_prompt(self, intent: str) -> str: - prompt = f""" -You are a service that translates user requests into JSON objects of type "{self.type_name}" according to the following TypeScript definitions: -``` -{self.schema_str} -``` -The following is a user request: -''' -{intent} -''' -The following is the user request translated into a JSON object with 2 spaces of indentation and no properties with the value undefined: -""" - return prompt - - def _create_repair_prompt(self, validation_error: str) -> str: - prompt = f""" -The above JSON object is invalid for the following reason: -''' -{validation_error} -''' -The following is a revised JSON object: -""" - return prompt diff --git a/typechat/_internal/ts_conversion/__init__.py b/typechat/_internal/ts_conversion/__init__.py deleted file mode 100644 index 6c0daf5..0000000 --- a/typechat/_internal/ts_conversion/__init__.py +++ /dev/null @@ -1,40 +0,0 @@ -# Copyright (c) Microsoft Corporation. -# Licensed under the MIT License. - -from dataclasses import dataclass -from typing_extensions import TypeAliasType - -from typechat._internal.ts_conversion.python_type_to_ts_nodes import python_type_to_typescript_nodes -from typechat._internal.ts_conversion.ts_node_to_string import ts_declaration_to_str - -__all__ = [ - "python_type_to_typescript_schema", - "TypeScriptSchemaConversionResult", -] - -@dataclass -class TypeScriptSchemaConversionResult: - typescript_schema_str: str - """The TypeScript declarations generated from the Python declarations.""" - - typescript_type_reference: str - """The TypeScript string representation of a given Python type.""" - - errors: list[str] - """Any errors that occurred during conversion.""" - -def python_type_to_typescript_schema(py_type: type | TypeAliasType) -> TypeScriptSchemaConversionResult: - """Converts a Python type to a TypeScript schema.""" - - node_conversion_result = python_type_to_typescript_nodes(py_type) - - decl_strs = map(ts_declaration_to_str, node_conversion_result.type_declarations) - decl_strs = reversed(list(decl_strs)) - - schema_str = "\n".join(decl_strs) - - return TypeScriptSchemaConversionResult( - typescript_schema_str=schema_str, - typescript_type_reference=py_type.__name__, - errors=node_conversion_result.errors, - ) diff --git a/typechat/_internal/ts_conversion/python_type_to_ts_nodes.py b/typechat/_internal/ts_conversion/python_type_to_ts_nodes.py deleted file mode 100644 index f2a34f3..0000000 --- a/typechat/_internal/ts_conversion/python_type_to_ts_nodes.py +++ /dev/null @@ -1,450 +0,0 @@ -# Copyright (c) Microsoft Corporation. -# Licensed under the MIT License. - -from __future__ import annotations - -from collections import OrderedDict -import inspect -import sys -import typing -import typing_extensions -from dataclasses import MISSING, Field, dataclass -from types import NoneType, UnionType -from typing_extensions import ( - Annotated, - Any, - ClassVar, - Doc, - Final, - Generic, - Literal, - LiteralString, - Never, - NoReturn, - NotRequired, - Protocol, - Required, - TypeAlias, - TypeAliasType, - TypeGuard, - TypeVar, - Union, - cast, - get_args, - get_origin, - get_original_bases, - get_type_hints, - is_typeddict, -) - -from typechat._internal.ts_conversion.ts_type_nodes import ( - AnyTypeReferenceNode, - ArrayTypeNode, - BooleanTypeReferenceNode, - IdentifierNode, - IndexSignatureDeclarationNode, - InterfaceDeclarationNode, - LiteralTypeNode, - NeverTypeReferenceNode, - NullTypeReferenceNode, - NumberTypeReferenceNode, - PropertyDeclarationNode, - StringTypeReferenceNode, - ThisTypeReferenceNode, - TopLevelDeclarationNode, - TupleTypeNode, - TypeAliasDeclarationNode, - TypeNode, - TypeParameterDeclarationNode, - TypeReferenceNode, - UnionTypeNode, -) - -class GenericDeclarationish(Protocol): - __parameters__: list[TypeVar] - __type_params__: list[TypeVar] # NOTE: may not be present unless running in 3.12 - -class GenericAliasish(Protocol): - __origin__: object - __args__: tuple[object, ...] - __name__: str - - -class Annotatedish(Protocol): - # NOTE: `__origin__` here refers to `SomeType` in `Annnotated[SomeType, ...]` - __origin__: object - __metadata__: tuple[object, ...] - -class Dataclassish(Protocol): - __dataclass_fields__: dict[str, Field[Any]] - -# type[TypedDict] -# https://github.com/microsoft/pyright/pull/6505#issuecomment-1834431725 -class TypeOfTypedDict(Protocol): - __total__: bool - -if sys.version_info >= (3, 12) and typing.TypeAliasType is not typing_extensions.TypeAliasType: - # Sometimes typing_extensions aliases TypeAliasType, - # sometimes it's its own declaration. - def is_type_alias_type(py_type: object) -> TypeGuard[TypeAliasType]: - return isinstance(py_type, typing.TypeAliasType | typing_extensions.TypeAliasType) -else: - def is_type_alias_type(py_type: object) -> TypeGuard[TypeAliasType]: - return isinstance(py_type, typing_extensions.TypeAliasType) - - -def is_generic(py_type: object) -> TypeGuard[GenericAliasish]: - return hasattr(py_type, "__origin__") and hasattr(py_type, "__args__") - -def is_dataclass(py_type: object) -> TypeGuard[Dataclassish]: - return hasattr(py_type, "__dataclass_fields__") and isinstance(cast(Any, py_type).__dataclass_fields__, dict) - -TypeReferenceTarget: TypeAlias = type | TypeAliasType | TypeVar | GenericAliasish - -def is_python_type_or_alias(origin: object) -> TypeGuard[type | TypeAliasType]: - return isinstance(origin, type) or is_type_alias_type(origin) - - -_KNOWN_GENERIC_SPECIAL_FORMS: frozenset[Any] = frozenset( - [ - Required, - NotRequired, - ClassVar, - Final, - Annotated, - Generic, - ] -) - -_KNOWN_SPECIAL_BASES: frozenset[Any] = frozenset([ - typing.TypedDict, - typing_extensions.TypedDict, - Protocol, - - # In older versions of Python, `__orig_bases__` will not be defined on `TypedDict`s - # derived from the built-in `typing` module (but they will from `typing_extensions`!). - # So `get_original_bases` will fetch `__bases__` which will map `TypedDict` to a plain `dict`. - dict, -]) - - -@dataclass -class TypeScriptNodeTranslationResult: - type_declarations: list[TopLevelDeclarationNode] - errors: list[str] - - -# TODO: https://github.com/microsoft/pyright/issues/6587 -_SELF_TYPE = getattr(typing_extensions, "Self") - -_LIST_TYPES: set[object] = { - list, - set, - frozenset, - # TODO: https://github.com/microsoft/pyright/issues/6582 - # collections.abc.MutableSequence, - # collections.abc.Sequence, - # collections.abc.Set -} - -# TODO: https://github.com/microsoft/pyright/issues/6582 -# _DICT_TYPES: set[type] = { -# dict, -# collections.abc.MutableMapping, -# collections.abc.Mapping -# } - - -def python_type_to_typescript_nodes(root_py_type: object) -> TypeScriptNodeTranslationResult: - # TODO: handle conflicting names - - declared_types: OrderedDict[object, TopLevelDeclarationNode | None] = OrderedDict() - undeclared_types: OrderedDict[object, object] = OrderedDict({root_py_type: root_py_type}) # just a set, really - used_names: dict[str, type | TypeAliasType] = {} - errors: list[str] = [] - - def skip_annotations(py_type: object) -> object: - origin = py_type - while (origin := get_origin(py_type)) and origin in _KNOWN_GENERIC_SPECIAL_FORMS: - type_arguments = get_args(py_type) - if not type_arguments: - errors.append(f"'{origin}' has been used without any type arguments.") - return Any - py_type = type_arguments[0] - continue - return py_type - - def convert_to_type_reference_node(py_type: TypeReferenceTarget) -> TypeNode: - py_type_to_declare = py_type - - if is_generic(py_type): - py_type_to_declare = get_origin(py_type) - - if py_type_to_declare not in declared_types: - if is_python_type_or_alias(py_type_to_declare): - undeclared_types[py_type_to_declare] = py_type_to_declare - elif not isinstance(py_type, TypeVar): - errors.append(f"Invalid usage of '{py_type}' as a type annotation.") - return AnyTypeReferenceNode - - if is_generic(py_type): - return generic_alias_to_type_reference(py_type) - - return TypeReferenceNode(IdentifierNode(py_type.__name__)) - - def generic_alias_to_type_reference(py_type: GenericAliasish) -> TypeReferenceNode: - origin = get_origin(py_type) - assert origin is not None - name = origin.__name__ - type_arguments = list(map(convert_to_type_node, get_args(py_type))) - return TypeReferenceNode(IdentifierNode(name), type_arguments) - - def convert_literal_type_arg_to_type_node(py_type: object) -> TypeNode: - py_type = skip_annotations(py_type) - match py_type: - case str() | int() | float(): # no need to match bool, it's a subclass of int - return LiteralTypeNode(py_type) - case None: - return NullTypeReferenceNode - case _: - errors.append(f"'{py_type}' cannot be used as a literal type.") - return AnyTypeReferenceNode - - def convert_to_type_node(py_type: object) -> TypeNode: - py_type = skip_annotations(py_type) - - if py_type is str or py_type is LiteralString: - return StringTypeReferenceNode - if py_type is int or py_type is float: - return NumberTypeReferenceNode - if py_type is bool: - return BooleanTypeReferenceNode - if py_type is Any or py_type is object: - return AnyTypeReferenceNode - if py_type is None or py_type is NoneType: - return NullTypeReferenceNode - if py_type is Never or py_type is NoReturn: - return NeverTypeReferenceNode - if py_type is _SELF_TYPE: - return ThisTypeReferenceNode - - # TODO: consider handling bare 'tuple' (and list, etc.) - # https://docs.python.org/3/library/typing.html#annotating-tuples - # Using plain tuple as an annotation is equivalent to using tuple[Any, ...]: - - origin = get_origin(py_type) - if origin is not None: - if origin in _LIST_TYPES: - (type_arg,) = get_type_argument_nodes(py_type, 1, AnyTypeReferenceNode) - if isinstance(type_arg, UnionTypeNode): - return TypeReferenceNode(IdentifierNode("Array"), [type_arg]) - return ArrayTypeNode(type_arg) - - if origin is dict: - # TODO - # Currently, we naively assume all dicts are string-keyed - # unless they're annotated with `int` or `float` (note: not `int | float`). - key_type_arg, value_type_arg = get_type_argument_nodes(py_type, 2, AnyTypeReferenceNode) - if key_type_arg is not NumberTypeReferenceNode: - key_type_arg = StringTypeReferenceNode - return TypeReferenceNode(IdentifierNode("Record"), [key_type_arg, value_type_arg]) - - if origin is tuple: - # Note that when the type is `tuple[()]`, - # `type_args` will be an empty tuple. - # Which is nice, because we don't have to special-case anything! - type_args = get_args(py_type) - - if Ellipsis in type_args: - if len(type_args) != 2: - errors.append( - f"The tuple type '{py_type}' is ill-formed. Tuples with an ellipsis can only take the form 'tuple[SomeType, ...]'." - ) - return ArrayTypeNode(AnyTypeReferenceNode) - - ellipsis_index = type_args.index(Ellipsis) - if ellipsis_index != 1: - errors.append( - f"The tuple type '{py_type}' is ill-formed because the ellipsis (...) cannot be the first element." - ) - return ArrayTypeNode(AnyTypeReferenceNode) - - return ArrayTypeNode(convert_to_type_node(type_args[0])) - - return TupleTypeNode([convert_to_type_node(py_type_arg) for py_type_arg in type_args]) - - if origin is Union or origin is UnionType: - type_node = [convert_to_type_node(py_type_arg) for py_type_arg in get_args(py_type)] - assert len(type_node) > 1 - return UnionTypeNode(type_node) - - if origin is Literal: - type_node = [convert_literal_type_arg_to_type_node(py_type_arg) for py_type_arg in get_args(py_type)] - assert len(type_node) >= 1 - return UnionTypeNode(type_node) - - assert is_generic(py_type) - return convert_to_type_reference_node(py_type) - - if is_python_type_or_alias(py_type): - return convert_to_type_reference_node(py_type) - - if isinstance(py_type, TypeVar): - return convert_to_type_reference_node(py_type) - - errors.append(f"'{py_type}' cannot be used as a type annotation.") - return AnyTypeReferenceNode - - def declare_property(name: str, py_annotation: type | TypeAliasType, is_typeddict_attribute: bool, optionality_default: bool): - """ - Declare a property for a given type. - If 'optionality_default' is - """ - current_annotation: object = py_annotation - origin: object - optional: bool | None = None - comment: str | None = None - while origin := get_origin(current_annotation): - if origin is Annotated and comment is None: - current_annotation = cast(Annotatedish, current_annotation) - - for metadata in current_annotation.__metadata__: - if isinstance(metadata, Doc): - comment = metadata.documentation - break - if isinstance(metadata, str): - comment = metadata - break - - current_annotation = current_annotation.__origin__ - - elif origin is Required or origin is NotRequired: - if not is_typeddict_attribute: - errors.append(f"Optionality cannot be specified with {origin} outside of TypedDicts.") - - if optional is None: - optional = origin is NotRequired - else: - errors.append(f"{origin} cannot be used within another optionality annotation.") - - current_annotation = get_args(current_annotation)[0] - else: - break - - if optional is None: - optional = optionality_default - - type_annotation = convert_to_type_node(skip_annotations(current_annotation)) - return PropertyDeclarationNode(name, optional, comment or "", type_annotation) - - def reserve_name(val: type | TypeAliasType): - type_name = val.__name__ - if type_name in used_names: - errors.append(f"Cannot create a schema using two types with the same name. {type_name} conflicts between {val} and {used_names[type_name]}") - else: - used_names[type_name] = val - - def declare_type(py_type: object): - if (is_typeddict(py_type) or is_dataclass(py_type)) and isinstance(py_type, type): - comment = py_type.__doc__ or "" - - if hasattr(py_type, "__type_params__") and cast(GenericDeclarationish, py_type).__type_params__: - type_params = [ - TypeParameterDeclarationNode(type_param.__name__) - for type_param in cast(GenericDeclarationish, py_type).__type_params__ - ] - elif hasattr(py_type, "__parameters__") and cast(GenericDeclarationish, py_type).__parameters__: - type_params = [ - TypeParameterDeclarationNode(type_param.__name__) - for type_param in cast(GenericDeclarationish, py_type).__parameters__ - ] - else: - type_params = None - - annotated_members = get_type_hints(py_type, include_extras=True) - - raw_but_filtered_bases: list[type] = [ - base - for base in get_original_bases(py_type) - if not(base is object or base in _KNOWN_SPECIAL_BASES or get_origin(base) in _KNOWN_GENERIC_SPECIAL_FORMS) - ] - base_attributes: OrderedDict[str, set[object]] = OrderedDict() - for base in raw_but_filtered_bases: - for prop, type_hint in get_type_hints(get_origin(base) or base, include_extras=True).items(): - base_attributes.setdefault(prop, set()).add(type_hint) - bases = [convert_to_type_node(base) for base in raw_but_filtered_bases] - - properties: list[PropertyDeclarationNode | IndexSignatureDeclarationNode] = [] - if is_typeddict(py_type): - for attr_name, type_hint in annotated_members.items(): - if attribute_identical_in_all_bases(attr_name, type_hint, base_attributes): - continue - - assume_optional = cast(TypeOfTypedDict, py_type).__total__ is False - prop = declare_property(attr_name, type_hint, is_typeddict_attribute=True, optionality_default=assume_optional) - properties.append(prop) - else: - # When a dataclass is created with no explicit docstring, @dataclass will - # generate one for us; however, we don't want these in the default output. - cleaned_signature = str(inspect.signature(py_type)).replace(" -> None", "") - dataclass_doc = f"{py_type.__name__}{cleaned_signature}" - if comment == dataclass_doc: - comment = "" - - for attr_name, field in cast(Dataclassish, py_type).__dataclass_fields__.items(): - type_hint = annotated_members[attr_name] - optional = not(field.default is MISSING and field.default_factory is MISSING) - prop = declare_property(attr_name, type_hint, is_typeddict_attribute=False, optionality_default=optional) - properties.append(prop) - - reserve_name(py_type) - return InterfaceDeclarationNode(py_type.__name__, type_params, comment, bases, properties) - if isinstance(py_type, type): - errors.append(f"{py_type.__name__} was not a TypedDict, dataclass, or type alias, and cannot be translated.") - - reserve_name(py_type) - - return InterfaceDeclarationNode(py_type.__name__, None, "", None, []) - if is_type_alias_type(py_type): - type_params = [TypeParameterDeclarationNode(type_param.__name__) for type_param in py_type.__type_params__] - - reserve_name(py_type) - - return TypeAliasDeclarationNode( - py_type.__name__, - type_params, - f"Comment for {py_type.__name__}.", - convert_to_type_node(py_type.__value__), - ) - - raise RuntimeError(f"Cannot declare type {py_type}.") - - def attribute_identical_in_all_bases(attr_name: str, type_hint: object, base_attributes: dict[str, set[object]]) -> bool: - """ - We typically want to omit attributes with type hints that are - identical to those declared in all base types. - """ - return attr_name in base_attributes and len(base_attributes[attr_name]) == 1 and type_hint in base_attributes[attr_name] - - def get_type_argument_nodes(py_type: object, count: int, default: TypeNode) -> list[TypeNode]: - py_type_args = get_args(py_type) - result: list[TypeNode] = [] - if len(py_type_args) != count: - errors.append(f"Expected '{count}' type arguments for '{py_type}'.") - for i in range(count): - if i < len(py_type_args): - type_node = convert_to_type_node(py_type_args[i]) - else: - type_node = default - result.append(type_node) - return result - - while undeclared_types: - py_type = undeclared_types.popitem()[0] - declared_types[py_type] = None - declared_types[py_type] = declare_type(py_type) - - type_declarations = cast(list[TopLevelDeclarationNode], list(declared_types.values())) - assert None not in type_declarations - - return TypeScriptNodeTranslationResult(type_declarations, errors) diff --git a/typechat/_internal/ts_conversion/ts_node_to_string.py b/typechat/_internal/ts_conversion/ts_node_to_string.py deleted file mode 100644 index 20d11f4..0000000 --- a/typechat/_internal/ts_conversion/ts_node_to_string.py +++ /dev/null @@ -1,99 +0,0 @@ -# Copyright (c) Microsoft Corporation. -# Licensed under the MIT License. - -import json -from typing_extensions import assert_never - -from typechat._internal.ts_conversion.ts_type_nodes import ( - ArrayTypeNode, - IdentifierNode, - IndexSignatureDeclarationNode, - InterfaceDeclarationNode, - LiteralTypeNode, - NullTypeReferenceNode, - PropertyDeclarationNode, - TopLevelDeclarationNode, - TupleTypeNode, - TypeAliasDeclarationNode, - TypeNode, - TypeReferenceNode, - UnionTypeNode, -) - - -def comment_to_str(comment_text: str, indentation: str) -> str: - comment_text = comment_text.strip() - if not comment_text: - return "" - lines = [line.strip() for line in comment_text.splitlines()] - - return "\n".join([f"{indentation}// {line}" for line in lines]) + "\n" - - -def ts_type_to_str(type_node: TypeNode) -> str: - match type_node: - case TypeReferenceNode(name, type_arguments): - assert isinstance(name, IdentifierNode) - if type_arguments is None: - return name.text - return f"{name.text}<{', '.join([ts_type_to_str(arg) for arg in type_arguments])}>" - case ArrayTypeNode(element_type): - assert type(element_type) is not UnionTypeNode - # if type(element_type) is UnionTypeNode: - # return f"Array<{ts_type_to_str(element_type)}>" - return f"{ts_type_to_str(element_type)}[]" - case TupleTypeNode(element_types): - return f"[{', '.join([ts_type_to_str(element_type) for element_type in element_types])}]" - case UnionTypeNode(types): - # Remove duplicates, but try to preserve order of types, - # and put null at the end if it's present. - str_set: set[str] = set() - type_strs: list[str] = [] - nullable = False - for type_node in types: - if type_node is NullTypeReferenceNode: - nullable = True - continue - type_str = ts_type_to_str(type_node) - if type_str not in str_set: - str_set.add(type_str) - type_strs.append(type_str) - if nullable: - type_strs.append("null") - return " | ".join(type_strs) - case LiteralTypeNode(value): - return json.dumps(value) - # case _: - # raise NotImplementedError(f"Unhandled type {type(type_node)}") - assert_never(type_node) - -def object_member_to_str(member: PropertyDeclarationNode | IndexSignatureDeclarationNode) -> str: - match member: - case PropertyDeclarationNode(name, is_optional, comment, annotation): - comment = comment_to_str(comment, " ") - if not name.isidentifier(): - name = json.dumps(name) - return f"{comment} {name}{'?' if is_optional else ''}: {ts_type_to_str(annotation)};" - case IndexSignatureDeclarationNode(key_type, value_type): - return f"[key: {ts_type_to_str(key_type)}]: {ts_type_to_str(value_type)};" - # case _: - # raise NotImplementedError(f"Unhandled member type {type(member)}") - assert_never(member) - - -def ts_declaration_to_str(declaration: TopLevelDeclarationNode) -> str: - match declaration: - case InterfaceDeclarationNode(name, type_parameters, comment, base_types, members): - comment = comment_to_str(comment, "") - type_param_str = f"<{', '.join([param.name for param in type_parameters])}>" if type_parameters else "" - base_type_str = ( - f" extends {', '.join([ts_type_to_str(base_type) for base_type in base_types])}" if base_types else "" - ) - members_str = "\n".join([f"{object_member_to_str(member)}" for member in members]) + "\n" if members else "" - return f"{comment}interface {name}{type_param_str}{base_type_str} {{\n{members_str}}}\n" - case TypeAliasDeclarationNode(name, type_parameters, comment, target): - type_param_str = f"<{', '.join([param.name for param in type_parameters])}>" if type_parameters else "" - return f"type {name}{type_param_str} = {ts_type_to_str(target)}\n" - # case _: - # raise NotImplementedError(f"Unhandled declaration type {type(declaration)}") - assert_never(declaration) diff --git a/typechat/_internal/ts_conversion/ts_type_nodes.py b/typechat/_internal/ts_conversion/ts_type_nodes.py deleted file mode 100644 index 2fd95cd..0000000 --- a/typechat/_internal/ts_conversion/ts_type_nodes.py +++ /dev/null @@ -1,81 +0,0 @@ -# Copyright (c) Microsoft Corporation. -# Licensed under the MIT License. - -from __future__ import annotations - -from dataclasses import dataclass -from typing_extensions import TypeAlias - -TypeNode: TypeAlias = "TypeReferenceNode | UnionTypeNode | LiteralTypeNode | ArrayTypeNode | TupleTypeNode" - -@dataclass -class IdentifierNode: - text: str - -@dataclass -class QualifiedNameNode: - left: QualifiedNameNode | IdentifierNode - right: IdentifierNode - -@dataclass -class TypeReferenceNode: - name: QualifiedNameNode | IdentifierNode - type_arguments: list[TypeNode] | None = None - -@dataclass -class UnionTypeNode: - types: list[TypeNode] - -@dataclass -class LiteralTypeNode: - value: str | int | float | bool - -@dataclass -class ArrayTypeNode: - element_type: TypeNode - -@dataclass -class TupleTypeNode: - element_types: list[TypeNode] - -@dataclass -class InterfaceDeclarationNode: - name: str - type_parameters: list[TypeParameterDeclarationNode] | None - comment: str - base_types: list[TypeNode] | None - members: list[PropertyDeclarationNode | IndexSignatureDeclarationNode] - -@dataclass -class TypeParameterDeclarationNode: - name: str - constraint: TypeNode | None = None - -@dataclass -class PropertyDeclarationNode: - name: str - is_optional: bool - comment: str - type: TypeNode - -@dataclass -class IndexSignatureDeclarationNode: - key_type: TypeNode - value_type: TypeNode - -@dataclass -class TypeAliasDeclarationNode: - name: str - type_parameters: list[TypeParameterDeclarationNode] | None - comment: str - type: TypeNode - -TopLevelDeclarationNode: TypeAlias = "InterfaceDeclarationNode | TypeAliasDeclarationNode" - -StringTypeReferenceNode = TypeReferenceNode(IdentifierNode("string")) -NumberTypeReferenceNode = TypeReferenceNode(IdentifierNode("number")) -BooleanTypeReferenceNode = TypeReferenceNode(IdentifierNode("boolean")) -AnyTypeReferenceNode = TypeReferenceNode(IdentifierNode("any")) -NullTypeReferenceNode = TypeReferenceNode(IdentifierNode("null")) -NeverTypeReferenceNode = TypeReferenceNode(IdentifierNode("never")) -ThisTypeReferenceNode = TypeReferenceNode(IdentifierNode("this")) diff --git a/typechat/_internal/validator.py b/typechat/_internal/validator.py deleted file mode 100644 index 5e4fc75..0000000 --- a/typechat/_internal/validator.py +++ /dev/null @@ -1,70 +0,0 @@ -# Copyright (c) Microsoft Corporation. -# Licensed under the MIT License. - -import json -from typing_extensions import Generic, TypeVar - -import pydantic -import pydantic_core - -from typechat._internal.result import Failure, Result, Success - -T = TypeVar("T", covariant=True) - -class TypeChatValidator(Generic[T]): - """ - Validates an object against a given Python type. - """ - - _adapted_type: pydantic.TypeAdapter[T] - - def __init__(self, py_type: type[T]): - """ - Args: - - py_type: The schema type to validate against. - """ - super().__init__() - self._adapted_type = pydantic.TypeAdapter(py_type) - - def validate_object(self, obj: object) -> Result[T]: - """ - Validates the given Python object according to the associated schema type. - - Returns a `Success[T]` object containing the object if validation was successful. - Otherwise, returns a `Failure` object with a `message` property describing the error. - """ - try: - # TODO: Switch to `validate_python` when validation modes are exposed. - # https://github.com/pydantic/pydantic-core/issues/712 - # We'd prefer to keep `validate_object` as the core method and - # allow translators to concern themselves with the JSON instead. - # However, under Pydantic's `strict` mode, a `dict` isn't considered compatible - # with a dataclass. So for now, jump back to JSON and validate the string. - json_str = pydantic_core.to_json(obj) - typed_dict = self._adapted_type.validate_json(json_str, strict=True) - return Success(typed_dict) - except pydantic.ValidationError as validation_error: - return _handle_error(validation_error) - - -def _handle_error(validation_error: pydantic.ValidationError) -> Failure: - error_strings: list[str] = [] - for error in validation_error.errors(include_url=False): - error_string = "" - loc_path = error["loc"] - if loc_path: - error_string += f"Validation path `{'.'.join(map(str, loc_path))}` " - else: - error_string += "Root validation " - input = error["input"] - error_string += f"failed for value `{json.dumps(input)}` because:\n {error['msg']}" - error_strings.append(error_string) - - if len(error_strings) > 1: - failure_message = "Several possible issues may have occurred with the given data.\n\n" - else: - failure_message = "" - failure_message += "\n".join(error_strings) - - return Failure(failure_message) diff --git a/typechat/py.typed b/typechat/py.typed deleted file mode 100644 index e69de29..0000000 diff --git a/uv.lock b/uv.lock index f2a5455..c6ff2d5 100644 --- a/uv.lock +++ b/uv.lock @@ -1222,7 +1222,7 @@ wheels = [ [[package]] name = "typeagent-py" -version = "0.1.5" +version = "0.1.6" source = { editable = "." } dependencies = [ { name = "azure-identity" }, @@ -1264,19 +1264,23 @@ requires-dist = [ { name = "pytest-asyncio", specifier = ">=0.26.0" }, { name = "pytest-mock", specifier = ">=3.14.0" }, { name = "python-dotenv", specifier = ">=1.1.0" }, - { name = "typechat", git = "https://github.com/microsoft/TypeChat?subdirectory=python" }, + { name = "typechat" }, ] [[package]] name = "typechat" version = "0.0.2" -source = { git = "https://github.com/microsoft/TypeChat?subdirectory=python#02e0a748b4a3f9cfad13db2ecba8d9616b0754a6" } +source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "httpx" }, { name = "pydantic" }, { name = "pydantic-core" }, { name = "typing-extensions" }, ] +sdist = { url = "https://files.pythonhosted.org/packages/c8/e6/d9bbba98c9637671829946343dfb7bd6a9d08b0e3b8afc0d47f03c9e890b/typechat-0.0.2.tar.gz", hash = "sha256:97ab844d17c02e564ae45bb2a13e57f30ce46daa29063e34c4fcff16f529c10d", size = 51157, upload-time = "2025-09-19T18:53:57.541Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/a1/92/fa975315a8b23073e5f66f369fbd4f27e310de34c67c64b525327f81f363/typechat-0.0.2-py3-none-any.whl", hash = "sha256:bebc41fac6036950987050c8921ded51a55a027ba9935a9c8d98bd55e0d8c479", size = 18955, upload-time = "2025-09-19T18:53:56.259Z" }, +] [[package]] name = "typer" From 2805f9ff259f3e0f625184608021787457885098 Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Fri, 19 Sep 2025 22:52:33 +0200 Subject: [PATCH 20/39] Remove maintainer info from README.md --- README.md | 42 +++--------------------------------------- 1 file changed, 3 insertions(+), 39 deletions(-) diff --git a/README.md b/README.md index 6382de8..f75e957 100644 --- a/README.md +++ b/README.md @@ -10,45 +10,9 @@ This is an in-progress project aiming at a Pythonic translation of `TypeAgent/ts/packages/knowPro` and a few related packages to Python. (Pythonic because it uses Python conventions and types as appropriate.) -### Original description - -(Not all of this matches the current state of the code.) - -- Python class names correspond 1:1 to TS interface or type names. - (Much has changed here.) -- Field and method names are converted from camelCase to python_case. -- I-named interfaces become `Protocol` classes. - (Or in some cases `ABC`s.) -- Other interfaces and structured types become dataclasses. -- Union types remain union types. -- Except unions of string literals become `Literal` types. -- Not all of the TS class hierarchy is translated literally. - -### How to build - -Tested on Mac and on Ubuntu 22 under WSL. -Should work on most UNIXoids. -(For Windows, look at the `make.bat` script.) - -- Install Python 3.12 or higher (get it from - [python.org](https://www.python.org/downloads/) for Mac, - or run `sudo apt install python3.12` for Linux) -- Run `make all` -- You should now have a wheel file under `dist/` -- To install: `python3.12 -m pip install dist/typeagent-0.1.0-py3-none-any.whl` -- TODO: Upload that wheel to PyPI -- To clean up, run `make clean` - -### How to test - -- Set your environment to contain the necessary OpenAI or Azure API keys - (OPENAI_API_KEY or AZURE_OPENAI_API_KEY) -- Run unit tests: `make test` -- Review coverage with `make coverage` -- Interactively testing queries: `make demo` -- Comparing to a validated set of questions and expected answers: - - Obtain or construct a JSON file of q/a pairs and install in testdata - - Run `make compare` (takes about 5-10 seconds per q/a pair) +### Documentation + +(To be written. Sorry.) ## Trademarks From 53ce8cb9c2c0fece8badcd9507a9a32501cc946a Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Fri, 19 Sep 2025 22:54:04 +0200 Subject: [PATCH 21/39] Bump version to 0.1.7 --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index d44b4b8..8a32451 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "typeagent-py" -version = "0.1.6" +version = "0.1.7" description = "TypeAgent implements an agentic memory framework." readme = { file = "README.md", content-type = "text/markdown" } authors = [ From d78cc33db606f7b655fc663396ab62cdb096e0ae Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Tue, 30 Sep 2025 16:52:58 -0700 Subject: [PATCH 22/39] TODO for the Oct 18 talk at PyBay --- TADA.md | 111 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 111 insertions(+) create mode 100644 TADA.md diff --git a/TADA.md b/TADA.md new file mode 100644 index 0000000..f359c8f --- /dev/null +++ b/TADA.md @@ -0,0 +1,111 @@ +# Things to do before Oct 18 + +Talk at PyBay is on Sat, Oct 18 in SF + +## Software + +- Test the ingestion pipeline and fix issues +- Don't work on MCP, do that later + - Fix MCP service (should use host's LLM, not its own) + - Handle embeddings in MCP, even though MCP doesn't support it yet + - GPT5 suggests to run a separate MCP service for this + - Batch 128-256 items at a time + - Explicitly handle truncation by counting tokens + - Handle caching using sha256() of text? +- Design and implement high-level API to support ingestion and querying +- Add transactions to ingestion APIs? +- Code structure (does podcasts need to be under typeagent?) +- Move to typeagent-py repo? +- Rename PyPI package name to typeagent? + +## Documentation + +- Getting Started +- Document the high-level API +- Document the MCP API +- Document what should go in `.env` and where it should live + - And alternatively what to put in shell env directly +- Document build/release process +- Document how to run evals (but don't reveal all the data) + +## Demos + +- Podcast demo (done) +- Different podcast? +- VTT (Python Documentary?) +- Documents demo (doesn't look so easy) +- Rob: Monty Python movie script (Rob will track down scripts) +- Email demo?! Maybe Umesh can help?? (Umesh thinks may be too complex) + +## Talk + +- Re-read abstract to discover essential points (done) +- Write slides +- Make a pretty design for slides? +- Practice in private, timing, updating slides as needed +- Practice run for the team? +- Anticipate questions about (Lazy) GraphRAG + + +# Appendix + +## Official abstract: "Structured RAG is better than RAG!" + +At Microsoft I've been contributing to an open source project +demonstrating what we call Structured RAG. +This is an improvement over the popular AI tactic named RAG (look it up) +that can answer questions over large collections of text or images +better and faster than RAG. We use this as the basis for long-term AI +memory. + +I will explain the Structured RAG algorithm and show some demos with +real-world data. I will also discuss the Python library we are releasing +this summer and its API. + +## Scratch space for talk drafting + +1. Explain Structured RAG (SRAG) + + 1. Explain RAG + 2. Explain how SRAG works instead + 3. Show how SRAG is better (how?) + +2. Demos + + 1. Podcast demo queries (clean up utool.py for this?) + 2. Document demo, show ingest and query (very briefly) + 3. MP movie? Email? + +3. Basics for using the library + 1. Install: + ```sh + pip install typeagent-py # Installs typeagent and dependencies + ``` + 2. Create conversation: + ```py + import typeagent + + conv = typeagent.get_conversation(dbfile="mymemory.sqlite") + # Could be empty (new) or could contain previously ingested data + # You can always ingest additional messages + ``` + 3. Ingest messages: + ```py + for message in ...: # Source of message strings + metadata = ... # Set date/time, speaker(s), listener(s) + conv.ingest_message(message, metadata) + ``` + 4. Query: + ```py + request = input("> ") + answer = conv.query(request) + print(request) + ``` + 5. Demo using podcast example data + +4. Links + +- To PyPI project +- To GitHub (typeagent-py or TypeAgent/python/ta?) +- To docs + From db03545dd5791c7967a7233ff2c2ec7e627de5db Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Tue, 30 Sep 2025 16:56:16 -0700 Subject: [PATCH 23/39] Add webvtt-py dependency --- pyproject.toml | 1 + uv.lock | 13 ++++++++++++- 2 files changed, 13 insertions(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 8a32451..c4a9f84 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -33,6 +33,7 @@ dependencies = [ "pytest-mock>=3.14.0", "python-dotenv>=1.1.0", "typechat", + "webvtt-py>=0.5.1", ] [project.urls] diff --git a/uv.lock b/uv.lock index c6ff2d5..8ca2e3e 100644 --- a/uv.lock +++ b/uv.lock @@ -1222,7 +1222,7 @@ wheels = [ [[package]] name = "typeagent-py" -version = "0.1.6" +version = "0.1.7" source = { editable = "." } dependencies = [ { name = "azure-identity" }, @@ -1243,6 +1243,7 @@ dependencies = [ { name = "pytest-mock" }, { name = "python-dotenv" }, { name = "typechat" }, + { name = "webvtt-py" }, ] [package.metadata] @@ -1265,6 +1266,7 @@ requires-dist = [ { name = "pytest-mock", specifier = ">=3.14.0" }, { name = "python-dotenv", specifier = ">=1.1.0" }, { name = "typechat" }, + { name = "webvtt-py", specifier = ">=0.5.1" }, ] [[package]] @@ -1340,6 +1342,15 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/d2/e2/dc81b1bd1dcfe91735810265e9d26bc8ec5da45b4c0f6237e286819194c3/uvicorn-0.35.0-py3-none-any.whl", hash = "sha256:197535216b25ff9b785e29a0b79199f55222193d47f820816e7da751e9bc8d4a", size = 66406, upload-time = "2025-06-28T16:15:44.816Z" }, ] +[[package]] +name = "webvtt-py" +version = "0.5.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/5e/f6/7c9c964681fb148e0293e6860108d378e09ccab2218f9063fd3eb87f840a/webvtt-py-0.5.1.tar.gz", hash = "sha256:2040dd325277ddadc1e0c6cc66cbc4a1d9b6b49b24c57a0c3364374c3e8a3dc1", size = 55128, upload-time = "2024-05-30T13:40:17.189Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f3/ed/aad7e0f5a462d679f7b4d2e0d8502c3096740c883b5bbed5103146480937/webvtt_py-0.5.1-py3-none-any.whl", hash = "sha256:9d517d286cfe7fc7825e9d4e2079647ce32f5678eb58e39ef544ffbb932610b7", size = 19802, upload-time = "2024-05-30T13:40:14.661Z" }, +] + [[package]] name = "wrapt" version = "1.17.3" From cd4e928a5bf36178c94da8467ee5d025814bffd1 Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Tue, 30 Sep 2025 18:36:59 -0700 Subject: [PATCH 24/39] Run black over new tools --- tools/add_copyright.py | 122 +++++++++++++++--------------- tools/release.py | 167 ++++++++++++++++++++--------------------- 2 files changed, 143 insertions(+), 146 deletions(-) diff --git a/tools/add_copyright.py b/tools/add_copyright.py index fe3cbd3..3273461 100755 --- a/tools/add_copyright.py +++ b/tools/add_copyright.py @@ -25,95 +25,95 @@ def has_copyright_notice(content: str) -> bool: """Check if the file already contains a Microsoft copyright notice.""" - lines = content.split('\n') - + lines = content.split("\n") + # Check first few lines for copyright notice for i in range(min(10, len(lines))): line = lines[i].strip() - if 'Copyright (c) Microsoft Corporation' in line: + if "Copyright (c) Microsoft Corporation" in line: return True - + return False def should_add_blank_line(content: str, insert_pos: int) -> bool: """Determine if we should add a blank line after the copyright notice.""" - lines = content.split('\n') - + lines = content.split("\n") + # If inserting at the very end of file, don't add blank line if insert_pos >= len(lines): return False - + # If the next line after insertion point is already blank, don't add another - if insert_pos < len(lines) and lines[insert_pos].strip() == '': + if insert_pos < len(lines) and lines[insert_pos].strip() == "": return False - + # If inserting at the end and file doesn't end with newline, don't add blank line - if insert_pos == len(lines) - 1 and not content.endswith('\n'): + if insert_pos == len(lines) - 1 and not content.endswith("\n"): return False - + return True def find_insertion_point(content: str) -> int: """Find where to insert the copyright notice.""" - lines = content.split('\n') - + lines = content.split("\n") + if not lines: return 0 - + insert_line = 0 - + # Skip shebang line if present - if lines[0].startswith('#!'): + if lines[0].startswith("#!"): insert_line = 1 - + # Skip encoding declarations like # -*- coding: utf-8 -*- - if insert_line < len(lines) and 'coding:' in lines[insert_line]: + if insert_line < len(lines) and "coding:" in lines[insert_line]: insert_line += 1 - elif insert_line < len(lines) and 'coding=' in lines[insert_line]: + elif insert_line < len(lines) and "coding=" in lines[insert_line]: insert_line += 1 - + return insert_line def add_copyright_to_file(file_path: Path) -> bool: """ Add copyright notice to a single file. - + Returns True if the file was modified, False otherwise. """ try: # Read the file - with open(file_path, 'r', encoding='utf-8') as f: + with open(file_path, "r", encoding="utf-8") as f: content = f.read() except (UnicodeDecodeError, PermissionError) as e: print(f"Skipping {file_path}: {e}") return False - + # Check if copyright notice already exists if has_copyright_notice(content): print(f"Skipping {file_path}: Already has copyright notice") return False - + # Find where to insert the copyright notice - lines = content.split('\n') + lines = content.split("\n") insert_pos = find_insertion_point(content) - + # Prepare the copyright lines - copyright_lines = COPYRIGHT_NOTICE.split('\n') - + copyright_lines = COPYRIGHT_NOTICE.split("\n") + # Add blank line after copyright if needed if should_add_blank_line(content, insert_pos): - copyright_lines.append('') - + copyright_lines.append("") + # Insert the copyright notice new_lines = lines[:insert_pos] + copyright_lines + lines[insert_pos:] - new_content = '\n'.join(new_lines) - + new_content = "\n".join(new_lines) + # Write back to file try: - with open(file_path, 'w', encoding='utf-8') as f: + with open(file_path, "w", encoding="utf-8") as f: f.write(new_content) print(f"Added copyright notice to {file_path}") return True @@ -126,7 +126,7 @@ def expand_glob_patterns(patterns: List[str]) -> List[Path]: """Expand glob patterns to actual file paths.""" files = [] for pattern in patterns: - if '*' in pattern or '?' in pattern: + if "*" in pattern or "?" in pattern: # It's a glob pattern matches = glob.glob(pattern, recursive=True) for match in matches: @@ -142,7 +142,7 @@ def expand_glob_patterns(patterns: List[str]) -> List[Path]: print(f"Warning: {pattern} is not a file, skipping") else: print(f"Warning: {pattern} does not exist, skipping") - + return files @@ -155,54 +155,52 @@ def main(): python add_copyright.py file1.py file2.py python add_copyright.py --glob "**/*.py" python add_copyright.py --glob "src/**/*.ts" --glob "tests/**/*.py" - """ + """, ) - + parser.add_argument( - 'files', - nargs='*', - help='Files to process (can be file paths or glob patterns)' + "files", nargs="*", help="Files to process (can be file paths or glob patterns)" ) - + parser.add_argument( - '--glob', - action='append', - dest='glob_patterns', - help='Glob pattern for files to process (can be used multiple times)' + "--glob", + action="append", + dest="glob_patterns", + help="Glob pattern for files to process (can be used multiple times)", ) - + parser.add_argument( - '--dry-run', - action='store_true', - help='Show what would be done without making changes' + "--dry-run", + action="store_true", + help="Show what would be done without making changes", ) - + args = parser.parse_args() - + # Collect all file patterns all_patterns = args.files or [] if args.glob_patterns: all_patterns.extend(args.glob_patterns) - + if not all_patterns: parser.print_help() return 1 - + # Expand patterns to actual files files = expand_glob_patterns(all_patterns) - + if not files: print("No files found matching the given patterns") return 1 - + print(f"Processing {len(files)} files...") - + modified_count = 0 - + for file_path in files: if args.dry_run: try: - with open(file_path, 'r', encoding='utf-8') as f: + with open(file_path, "r", encoding="utf-8") as f: content = f.read() if not has_copyright_notice(content): print(f"Would add copyright notice to {file_path}") @@ -214,14 +212,14 @@ def main(): else: if add_copyright_to_file(file_path): modified_count += 1 - + if args.dry_run: print(f"\nDry run complete. Would modify {modified_count} files.") else: print(f"\nComplete. Modified {modified_count} files.") - + return 0 -if __name__ == '__main__': - sys.exit(main()) \ No newline at end of file +if __name__ == "__main__": + sys.exit(main()) diff --git a/tools/release.py b/tools/release.py index d4a2be4..4a35f40 100755 --- a/tools/release.py +++ b/tools/release.py @@ -26,37 +26,32 @@ def run_command(cmd: list[str], dry_run: bool = False) -> Tuple[int, str]: """ Run a shell command and return (exit_code, output). - + Args: cmd: Command as a list of strings dry_run: If True, print what would be run without executing - + Returns: Tuple of (exit_code, output_string) """ cmd_str = " ".join(cmd) - + if dry_run: print(f"[DRY RUN] Would run: {cmd_str}") return 0, "" - + print(f"Running: {cmd_str}") - + try: - result = subprocess.run( - cmd, - capture_output=True, - text=True, - check=False - ) - + result = subprocess.run(cmd, capture_output=True, text=True, check=False) + if result.stdout: print(result.stdout.strip()) if result.stderr: print(f"stderr: {result.stderr.strip()}", file=sys.stderr) - + return result.returncode, result.stdout.strip() - + except Exception as e: print(f"Error running command: {e}", file=sys.stderr) return 1, str(e) @@ -65,20 +60,20 @@ def run_command(cmd: list[str], dry_run: bool = False) -> Tuple[int, str]: def parse_version(version_str: str) -> Tuple[int, int, int]: """ Parse a semantic version string into (major, minor, patch). - + Args: version_str: Version string like "0.1.3" - + Returns: Tuple of (major, minor, patch) as integers - + Raises: ValueError: If version format is invalid """ - match = re.match(r'^(\d+)\.(\d+)\.(\d+)$', version_str.strip()) + match = re.match(r"^(\d+)\.(\d+)\.(\d+)$", version_str.strip()) if not match: raise ValueError(f"Invalid version format: {version_str}") - + return int(match.group(1)), int(match.group(2)), int(match.group(3)) @@ -90,74 +85,78 @@ def format_version(major: int, minor: int, patch: int) -> str: def get_current_version(pyproject_path: Path) -> str: """ Extract the current version from pyproject.toml. - + Args: pyproject_path: Path to the pyproject.toml file - + Returns: Current version string - + Raises: FileNotFoundError: If pyproject.toml doesn't exist ValueError: If version field is not found or invalid """ if not pyproject_path.exists(): raise FileNotFoundError(f"pyproject.toml not found at {pyproject_path}") - - content = pyproject_path.read_text(encoding='utf-8') - + + content = pyproject_path.read_text(encoding="utf-8") + # Look for version = "x.y.z" in the [project] section - version_match = re.search(r'^version\s*=\s*["\']([^"\']+)["\']', content, re.MULTILINE) - + version_match = re.search( + r'^version\s*=\s*["\']([^"\']+)["\']', content, re.MULTILINE + ) + if not version_match: raise ValueError("Version field not found in pyproject.toml") - + return version_match.group(1) -def update_version_in_pyproject(pyproject_path: Path, new_version: str, dry_run: bool = False) -> None: +def update_version_in_pyproject( + pyproject_path: Path, new_version: str, dry_run: bool = False +) -> None: """ Update the version in pyproject.toml. - + Args: pyproject_path: Path to the pyproject.toml file new_version: New version string to set dry_run: If True, show what would be changed without modifying the file """ - content = pyproject_path.read_text(encoding='utf-8') - + content = pyproject_path.read_text(encoding="utf-8") + # Replace the version field new_content = re.sub( r'^(version\s*=\s*["\'])[^"\']+(["\'])', - rf'\g<1>{new_version}\g<2>', + rf"\g<1>{new_version}\g<2>", content, - flags=re.MULTILINE + flags=re.MULTILINE, ) - + if content == new_content: raise ValueError("Failed to update version in pyproject.toml") - + if dry_run: print(f"[DRY RUN] Would update version to {new_version} in {pyproject_path}") return - - pyproject_path.write_text(new_content, encoding='utf-8') + + pyproject_path.write_text(new_content, encoding="utf-8") print(f"Updated version to {new_version} in {pyproject_path}") def check_git_status() -> bool: """ Check if the git working directory is clean. - + Returns: True if working directory is clean, False otherwise """ exit_code, output = run_command(["git", "status", "--porcelain"]) - + if exit_code != 0: print("Error: Failed to check git status", file=sys.stderr) return False - + # If there's any output, the working directory is not clean return len(output.strip()) == 0 @@ -174,85 +173,85 @@ def main(): 4. Push the tags to trigger the release workflow The script must be run from the python/ta directory. - """ + """, ) - + parser.add_argument( - '--dry-run', - action='store_true', - help='Show what would be done without making changes' + "--dry-run", + action="store_true", + help="Show what would be done without making changes", ) - + args = parser.parse_args() - + # Ensure we're in the right directory current_dir = Path.cwd() - expected_files = ['pyproject.toml', 'tools'] - + expected_files = ["pyproject.toml", "tools"] + for file_name in expected_files: if not (current_dir / file_name).exists(): - print(f"Error: {file_name} not found. Please run this script from the python/ta directory.", file=sys.stderr) + print( + f"Error: {file_name} not found. Please run this script from the python/ta directory.", + file=sys.stderr, + ) return 1 - - pyproject_path = current_dir / 'pyproject.toml' - + + pyproject_path = current_dir / "pyproject.toml" + # Check git status (unless dry run) if not args.dry_run and not check_git_status(): - print("Error: Git working directory is not clean. Please commit or stash changes first.", file=sys.stderr) + print( + "Error: Git working directory is not clean. Please commit or stash changes first.", + file=sys.stderr, + ) return 1 - + try: # Get current version current_version = get_current_version(pyproject_path) print(f"Current version: {current_version}") - + # Parse and bump version major, minor, patch = parse_version(current_version) new_patch = patch + 1 new_version = format_version(major, minor, new_patch) - + print(f"New version: {new_version}") - + # Update pyproject.toml update_version_in_pyproject(pyproject_path, new_version, args.dry_run) - + # Git commit - exit_code, _ = run_command([ - "git", "add", "pyproject.toml" - ], args.dry_run) - + exit_code, _ = run_command(["git", "add", "pyproject.toml"], args.dry_run) + if exit_code != 0: print("Error: Failed to stage pyproject.toml", file=sys.stderr) return 1 - + commit_message = f"Bump version to {new_version}" - exit_code, _ = run_command([ - "git", "commit", "-m", commit_message - ], args.dry_run) - + exit_code, _ = run_command( + ["git", "commit", "-m", commit_message], args.dry_run + ) + if exit_code != 0: print("Error: Failed to commit changes", file=sys.stderr) return 1 - + # Create git tag tag_name = f"v{new_version}-py" - exit_code, _ = run_command([ - "git", "tag", tag_name - ], args.dry_run) - + exit_code, _ = run_command(["git", "tag", tag_name], args.dry_run) + if exit_code != 0: print(f"Error: Failed to create tag {tag_name}", file=sys.stderr) return 1 - + # Push tags - exit_code, _ = run_command([ - "git", "push", "--tags" - ], args.dry_run) - + exit_code, _ = run_command(["git", "push", "--tags"], args.dry_run) + if exit_code != 0: print("Error: Failed to push tags", file=sys.stderr) return 1 - + if args.dry_run: print(f"\n[DRY RUN] Release process completed successfully!") print(f"Would have created tag: {tag_name}") @@ -260,13 +259,13 @@ def main(): print(f"\nRelease process completed successfully!") print(f"Created tag: {tag_name}") print(f"The GitHub Actions release workflow should now be triggered.") - + return 0 - + except Exception as e: print(f"Error: {e}", file=sys.stderr) return 1 -if __name__ == '__main__': - sys.exit(main()) \ No newline at end of file +if __name__ == "__main__": + sys.exit(main()) From dc8b6ad86cbd8d6ab799e9990c87fae6c2dd3ac3 Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Wed, 1 Oct 2025 11:09:37 -0700 Subject: [PATCH 25/39] Add some sample WebVTT (.vtt) files --- testdata/Confuse-A-Cat.vtt | 204 +++ testdata/Parrot_Sketch.vtt | 229 +++ testdata/PythonDocumentary.vtt | 3037 ++++++++++++++++++++++++++++++++ 3 files changed, 3470 insertions(+) create mode 100644 testdata/Confuse-A-Cat.vtt create mode 100755 testdata/Parrot_Sketch.vtt create mode 100644 testdata/PythonDocumentary.vtt diff --git a/testdata/Confuse-A-Cat.vtt b/testdata/Confuse-A-Cat.vtt new file mode 100644 index 0000000..fb8b725 --- /dev/null +++ b/testdata/Confuse-A-Cat.vtt @@ -0,0 +1,204 @@ +WEBVTT +Kind: captions +Language: en + +00:00:00.000 --> 00:00:00.500 + + +00:00:00.500 --> 00:00:01.000 + + +00:00:01.000 --> 00:00:02.000 + + +00:00:07.599 --> 00:00:10.559 +Oh, good! That'll be the vet, dear. +I'd better go and let him in. + +00:00:14.740 --> 00:00:15.900 +It's the vet, dear. + +00:00:15.900 --> 00:00:18.500 +Oh, very glad indeed you could come 'round, sir. + +00:00:19.000 --> 00:00:21.590 +Not at all. +Now, what seems to be the problem? + +00:00:21.700 --> 00:00:27.149 +You can tell me... I'm a vet, you know. +See? Tell him, dear. +Well... +It's our cat. + +00:00:27.150 --> 00:00:32.000 +He doesn't do anything. +He just sits out all day on the lawn. + +00:00:32.200 --> 00:00:35.280 +Is he... dead? + +00:00:35.280 --> 00:00:35.950 +Oh, no! + +00:00:35.950 --> 00:00:39.089 +Thank God for that! +For one ghastly moment, I thought I was... + +00:00:39.850 --> 00:00:41.110 +...too late. + +00:00:41.110 --> 00:00:44.040 +If only more people would call in the nick of time! + +00:00:44.110 --> 00:00:49.829 +He just sits there, all day and every day. +And at night. +Shh! Almost motionless. + +00:00:50.530 --> 00:00:53.759 +We have to take his food out to him. +And his milk. +Shh! + +00:00:54.000 --> 00:00:56.100 +He doesn't do anything. He just sits there. + +00:00:57.100 --> 00:00:58.829 +Are you at your wits' end? + +00:00:59.829 --> 00:01:01.809 +Definitely... Shh!... yes. + +00:01:01.809 --> 00:01:06.419 +Hmm. I see. +Well, I think I may be able to help you. +You see... + +00:01:14.450 --> 00:01:18.789 +Your cat is suffering from what we vets haven't found a word for. + +00:01:20.480 --> 00:01:23.919 +His condition is typified by total physical inertia. + +00:01:24.590 --> 00:01:26.900 +Absence of interest in its ambience. + +00:01:27.500 --> 00:01:31.220 +What we vets call "environment." + +00:01:31.220 --> 00:01:33.220 +Failure to respond to the + +00:01:33.830 --> 00:01:37.539 +conventional external stimuli. +A ball of string, a nice + +00:01:38.360 --> 00:01:40.360 +juicy mouse, a bird! + +00:01:40.700 --> 00:01:44.590 +To be blunt, your cat is in a rut! + +00:01:45.770 --> 00:01:47.770 +It's the old... + +00:01:47.930 --> 00:01:54.699 +...Stockbroker syndrome. +The suburban fin de siecle ennui. +Angst, weltschmertz, call it what you will. + +00:01:55.160 --> 00:02:00.969 +Moping. +In a way, in a way. +Hmm, moping. I must remember that! +Now... + +00:02:01.640 --> 00:02:05.500 +What's to be done? +Tell me sir, have you confused your cat recently ? +Well, we... + +00:02:05.600 --> 00:02:08.199 +Shh! No. + +00:02:08.199 --> 00:02:11.400 +Yes, well, I think I can definitely say that your cat badly needs to be confused. + +00:02:11.500 --> 00:02:12.000 +What? +Shh! + +00:02:12.000 --> 00:02:14.000 +What? + +00:02:14.000 --> 00:02:16.800 +Confused. To shake it out of his state of complacency. + +00:02:18.000 --> 00:02:25.540 +I'm afraid... I'm not personally qualified to confuse cats, but I can recommend an extremely good service. +Here is their card. + +00:02:27.680 --> 00:02:30.400 +Oh... Confuse-A-Cat, Limited. +Oh! + +00:02:40.000 --> 00:02:41.049 +Squad! Eyes front! + +00:02:46.400 --> 00:02:51.000 +Cat confusers... Confusers... Hut! + +00:03:10.100 --> 00:03:18.140 +Well, men, we've got a pretty difficult cat to confuse today, so let's get straight on with it. +Jolly good. Thank you, sergeant. + +00:03:18.140 --> 00:03:21.349 +Confusers, get into the van and fetch out... +Wait for it! + +00:03:22.769 --> 00:03:25.369 +Fetch out the funny things! + +00:03:30.000 --> 00:03:32.000 +Move, move, move, move! + +00:03:35.500 --> 00:03:36.500 +One, two, one, two, get those funny things off! + +00:04:11.910 --> 00:04:15.000 +Stage ready for confusing, sir! + +00:04:15.200 --> 00:04:17.200 +Very good. Carry on, sergeant. + +00:04:19.000 --> 00:04:23.600 +Left turn, double march! + +00:04:25.800 --> 00:04:29.500 +Right, men. Confuse the... cat! + +00:04:37.530 --> 00:04:42.199 +Lords, ladies and gentlemen... + +00:06:15.199 --> 00:06:21.788 +I hope to God it works. +Anyway, we shall know any minute now. + +00:06:33.370 --> 00:06:39.720 +Oh, I can't believe it! +Neither can I. It's just like the old days. +Then he's cured! Oh, thank you, General! + +00:06:40.080 --> 00:06:42.080 +What can we ever do to repay you ? + +00:06:42.080 --> 00:06:43.590 +No need to, sir. + +00:06:44.710 --> 00:06:47.460 +It's all in a day's work for... + +00:06:48.879 --> 00:06:50.879 +Confuse-A-Cat. + diff --git a/testdata/Parrot_Sketch.vtt b/testdata/Parrot_Sketch.vtt new file mode 100755 index 0000000..c3325aa --- /dev/null +++ b/testdata/Parrot_Sketch.vtt @@ -0,0 +1,229 @@ +WEBVTT Episode 8 - Dead parrot https://ibras.dk/montypython/justthewords.htm + +00:00:00.000 --> 00:00:08.000 +[ANIMATION] including dancing Botticelli Venus, which links to pet shop: Mr. Praline walks into the shop carrying a dead parrot in a cage. He walks to counter where shopkeeper tries to hide below cash register. + +00:00:08.000 --> 00:00:12.000 + Hello, I wish to register a complaint...Hello? Miss? + +00:00:12.000 --> 00:00:14.000 + What do you mean, miss? + +00:00:14.000 --> 00:00:17.000 + Oh I'm sorry, I have a cold. I wish to make a complaint! + +00:00:17.000 --> 00:00:20.000 + Sorry, we're closing for lunch. + +00:00:20.000 --> 00:00:26.000 + Never mind that, my lad. I wish to complain about this parrot what I purchased not half an hour ago from this very boutique. + +00:00:26.000 --> 00:00:30.000 + Oh yes, the, the Norwegian Blue. What's wrong with it? + +00:00:30.000 --> 00:00:34.000 + I'll tell you what's wrong with it, my lad. It's dead, that's what's wrong with it! + +00:00:34.000 --> 00:00:37.000 + No, no, it's resting, look! + +00:00:37.000 --> 00:00:43.000 + Look my lad, I know a dead parrot when I see one, and I'm looking at one right now. + +00:00:43.000 --> 00:00:46.000 + No no sir. it's not dead. It's resting! + +00:00:46.000 --> 00:00:48.000 + Resting? + +00:00:48.000 --> 00:00:53.000 + Yeah, remarkable bird, the Norwegian Blue, beautiful plumage, innit? + +00:00:53.000 --> 00:00:56.000 + The plumage don't enter into it - it's stone dead. + +00:00:56.000 --> 00:00:59.000 + No, no - it's just resting! + +00:00:59.000 --> 00:01:07.000 + All right then, if it's restin', I'll wake him up! (shouts into cage) Hello Polly! I've got a nice cuttlefish for you when you wake up, Polly Parrot! + +00:01:07.000 --> 00:01:10.000 + (jogging the cage) There, it moved! + +00:01:10.000 --> 00:01:13.000 + No, he didn't. That was you pushing the cage! + +00:01:13.000 --> 00:01:15.000 + I did not. + +00:01:15.000 --> 00:01:25.000 + Yes, you did! (takes parrot out of cage, shouts) Hello Polly, Polly (bangs it against the counter) Polly Parrot, wake up. Polly. (throws it in the air and lets it fall to the floor) Now that's what I call a dead parrot. + +00:01:25.000 --> 00:01:28.000 + No, no. It's stunned. + +00:01:28.000 --> 00:01:38.000 + Look my lad, I've had just about enough of this. That parrot is definitely deceased. And when I bought it not half an hour ago, you assured me that its lack of movement was due to it being tired and shagged out after a long squawk. + +00:01:38.000 --> 00:01:41.000 + It's probably pining for the fjords. + +00:01:41.000 --> 00:01:47.000 + Pining for the fjords, what kind of talk is that? Look, why did it fall flat on its back the moment I got it home? + +00:01:47.000 --> 00:01:52.000 + The Norwegian Blue prefers kipping on it's back! Beautiful bird, lovely plumage! + +00:01:52.000 --> 00:01:59.000 + Look, I took the liberty of examining that parrot, and I discovered the only reason that it had been sitting on its perch in the first place was that it had been nailed there. + +00:01:59.000 --> 00:02:05.000 + Well of course it was nailed there. Otherwise it would muscle up to those bars and voom. + +00:02:05.000 --> 00:02:11.000 + Look matey (picks up the parrot) this parrot wouldn't voom if you put four thousand volts through it! It's bleedin' demised! + +00:02:11.000 --> 00:02:14.000 + It's not, it's pining! + +00:02:14.000 --> 00:02:29.000 + It's not pining, it's passed on. This parrot is no more! It has ceased to be. It's expired and gone to meet its maker.This is a late parrot. It's a stiff. Bereft of life, it rests in peace. If you hadn't nailed it to the perch it would be pushing up the daisies. It's rung down the curtain and joined the choir invisible. This is an ex-parrot. + +00:02:29.000 --> 00:02:32.000 + Well, I'd better replace it, then. + +00:02:32.000 --> 00:02:39.000 + (to camera) If you want to get anything done in this country you've got to complain till you're blue in the mouth. + +00:02:39.000 --> 00:02:42.000 + Sorry guv, we're right out of parrots. + +00:02:42.000 --> 00:02:45.000 + I see. I see. I get the picture. + +00:02:45.000 --> 00:02:48.000 + (pause) I got a slug. + +00:02:48.000 --> 00:02:50.000 + Does it talk? + +00:02:50.000 --> 00:02:52.000 + Not really, no. + +00:02:52.000 --> 00:02:56.000 + Well, it's scarcely a replacement, then is it? + +00:02:56.000 --> 00:03:04.000 + Listen, I'll tell you what, (handing over a card) tell you what, if you go to my brother's pet shop in Bolton he'll replace your parrot for you. + +00:03:04.000 --> 00:03:06.000 + Bolton eh? + +00:03:06.000 --> 00:03:08.000 + Yeah. + +00:03:08.000 --> 00:03:10.000 + All right. + +00:03:10.000 --> 00:03:13.000 +[Action] He leaves, holding the parrot. + +00:03:13.000 --> 00:03:17.000 +[CAPTION] 'A SIMILAR PET SHOP IN BOLTON; LANCS' + +00:03:17.000 --> 00:03:27.000 +[Action] Close-up of sign on door reading: 'Similar Pet Shops, Ltd.' Pull back from sign to see same pet shop. Shopkeeper now has moustache. Praline walks into shop. He looks around with interest, noticing the empty parrot cage still on the floor. + +00:03:27.000 --> 00:03:31.000 + Er, excuse me. This is Bolton, is it? + +00:03:31.000 --> 00:03:34.000 + No, no it's, er, Ipswich. + +00:03:34.000 --> 00:03:40.000 + (to camera) That's Inter-City Rail for you. (leaves) + +00:03:40.000 --> 00:03:45.000 +[Action] Man in porter's outfit standing at complaints desk for railways. Praline approaches. + +00:03:45.000 --> 00:03:48.000 + I wish to make a complaint. + +00:03:48.000 --> 00:03:51.000 + I don't have to do this, you know. + +00:03:51.000 --> 00:03:53.000 + I beg your pardon. + +00:03:53.000 --> 00:03:59.000 + I'm a qualified brain surgeon. I only do this because I like being my own boss. + +00:03:59.000 --> 00:04:03.000 + Er, excuse me, this is irrelevant, isn't it. + +00:04:03.000 --> 00:04:08.000 + Oh yeah, it's not easy to pad these out to thirty minutes. + +00:04:08.000 --> 00:04:15.000 + Well I wish to make a complaint. I got on the Bolton train and found myself deposited here in Ipswich. + +00:04:15.000 --> 00:04:17.000 + No, this is Bolton. + +00:04:17.000 --> 00:04:22.000 + (to camera) The pet shop owner's brother was lying. + +00:04:22.000 --> 00:04:26.000 + Well you can't blame British Rail for that. + +00:04:26.000 --> 00:04:30.000 + If this is Bolton, I shall return to the pet shop. + +00:04:30.000 --> 00:04:33.000 +[CAPTION] 'A LITTLE LATER LTD' + +00:04:33.000 --> 00:04:36.000 +[Action] Praline walks into the shop again. + +00:04:36.000 --> 00:04:39.000 + I understand that this is Bolton. + +00:04:39.000 --> 00:04:41.000 + Yes. + +00:04:41.000 --> 00:04:44.000 + Well, you told me it was Ipswich. + +00:04:44.000 --> 00:04:46.000 + It was a pun. + +00:04:46.000 --> 00:04:48.000 + A pun? + +00:04:48.000 --> 00:04:54.000 + No, no, not a pun, no. What's the other thing which reads the same backwards as forwards? + +00:04:54.000 --> 00:04:56.000 + A palindrome? + +00:04:56.000 --> 00:04:58.000 + Yes, yes. + +00:04:58.000 --> 00:05:04.000 + It's not a palindrome. The palindrome of Bolton would be Notlob. It don't work. + +00:05:04.000 --> 00:05:07.000 + Look, what do you want. + +00:05:07.000 --> 00:05:13.000 + No I'm sorry, I'm not prepared to pursue my line of enquiry any further as I think this is getting too silly. + +00:05:13.000 --> 00:05:20.000 + (coming in) Quite agree. Quite agree. Silly. Silly...silly. Right get on with it. Get on with it. + +00:05:20.000 --> 00:05:23.000 +[Action] Cut to announcer eating a yoghurt. + +00:05:23.000 --> 00:05:30.000 + [seeing camera] Oh...er...oh...um. Oh!...er... [shuffles paper] I'm sorry...and now frontal nudity. diff --git a/testdata/PythonDocumentary.vtt b/testdata/PythonDocumentary.vtt new file mode 100644 index 0000000..7573825 --- /dev/null +++ b/testdata/PythonDocumentary.vtt @@ -0,0 +1,3037 @@ +WEBVTT +Kind: captions +Language: en + +00:00:00.800 --> 00:00:04.901 +Did you think Python was going to get +popular from the beginning or? + +00:00:05.520 --> 00:00:08.956 +[Music] + +00:00:14.533 --> 00:00:21.280 +Python has contributed to making critical thinking a  +little more approachable by more people.   + +00:00:21.280 --> 00:00:23.478 +You can spend one to two hours, + +00:00:23.478 --> 00:00:25.520 +learning programming fundamentals + +00:00:25.520 --> 00:00:28.120 +and then you can write like +10 to 20 line of code + +00:00:28.120 --> 00:00:29.353 +that do something interesting. + +00:00:29.353 --> 00:00:32.400 +The language, the community, the ecosystem, + +00:00:32.400 --> 00:00:37.464 +the market, the whole thing has had such an  +impact on humanity.  + +00:00:37.464 --> 00:00:40.575 +Today, I think it's safe to say that almost +anywhere there's a computer, + +00:00:40.575 --> 00:00:42.200 +there's probably some Python. + +00:00:42.200 --> 00:00:44.360 +It's literally on Mars. + +00:00:45.306 --> 00:00:49.056 +The impact of AI, I think we're still  +seeing what that's going to be. + +00:00:49.056 --> 00:00:51.240 +Python is incredibly important for that. + +00:00:52.147 --> 00:00:56.880 +To fully understand how Python got +so big, we have to go back in time. + +00:01:00.000 --> 00:01:01.600 +Maybe not that far back. + +00:01:02.746 --> 00:01:05.240 +Everything started back in Amsterdam in the 80s + +00:01:05.240 --> 00:01:08.920 +during my time at CWI, a Dutch research facility. + +00:01:11.440 --> 00:01:17.263 +The CWI had been behind a lot of major +programming language developments. + +00:01:17.520 --> 00:01:20.503 +Algol 60 and Algol 68 for instance. + +00:01:20.880 --> 00:01:25.748 +And Lambert Meertens had tried +teaching programming to artists + +00:01:25.748 --> 00:01:28.240 +and discovered things about + +00:01:28.240 --> 00:01:34.720 +programming that are easy, if you're a scientist  +or a geek. But for somebody like an artist,   + +00:01:34.720 --> 00:01:39.732 +those things weren't obvious because you had to  +know something about the computer. + +00:01:39.732 --> 00:01:44.240 +The cause of the frustration was the low level +of the languages that were available. + +00:01:44.240 --> 00:01:48.466 +The computers were immensely  +expensive and compared with that + +00:01:48.466 --> 00:01:51.361 +a programmer was really really cheap + +00:01:51.361 --> 00:01:53.680 +and so programming languages + +00:01:53.680 --> 00:01:57.223 +were designed with that +economic relationship in mind. + +00:01:57.579 --> 00:02:00.168 +It didn't matter if it took a long time to + +00:02:00.168 --> 00:02:06.880 +program as long as it didn't demand too much of  +the computer because that's where the cost was.   + +00:02:06.880 --> 00:02:11.440 +We looked at each other and said, can't we do a  +better job? Can't we design a language that is   + +00:02:11.440 --> 00:02:15.600 +easy to learn, easy to teach, +but also easy to use. + +00:02:15.600 --> 00:02:18.400 +So that beginners could +understand how to program + +00:02:18.400 --> 00:02:22.348 +without having to go into all +those messy hardware details. + +00:02:22.348 --> 00:02:25.320 +And that's how the ABC project was born. + +00:02:27.920 --> 00:02:31.652 +One of the members of the team  +was Guido van Rossum. + +00:02:31.652 --> 00:02:37.496 +[Music] + +00:02:39.680 --> 00:02:46.320 +I was hired to work on ABC for which  +there was a small prototype but every   + +00:02:46.320 --> 00:02:52.560 +part of the prototype had to be expanded  +to fully working according to the spec. + +00:02:54.160 --> 00:03:01.840 +In 1985, we made the release of ABC. And  +then we hit the problem: how to make the   + +00:03:01.840 --> 00:03:05.120 +world know that there was ABC? + +00:03:05.120 --> 00:03:11.080 +We did not have a good way of +reaching our intended audience. + +00:03:11.080 --> 00:03:12.840 +The web did not exist. + +00:03:12.840 --> 00:03:17.560 +Most people had never heard of +a computer or even seen one. + +00:03:17.600 --> 00:03:23.182 +If anybody wanted a copy, they had to send us  +a letter and we'd send them a floppy disc. + +00:03:24.300 --> 00:03:30.640 +So I'm afraid ABC reached very few people and  +at some point the directors for reason, that   + +00:03:30.640 --> 00:03:33.960 +I still don't understand, killed that project. + +00:03:33.960 --> 00:03:38.720 +I had spent, well, 3 and 1/2 years of hard work + +00:03:39.202 --> 00:03:44.481 +on this language and the implementation +to make it as as good as we could. + +00:03:44.481 --> 00:03:45.812 +So it was disappointing. + +00:03:46.320 --> 00:03:49.594 +[Music] + +00:03:49.594 --> 00:03:55.280 +Guido was transferred to another  +project on a distributed operating system, + +00:03:55.280 --> 00:03:56.680 +the amoeba system. + +00:03:58.763 --> 00:04:03.360 +One of my jobs at that project as +the programmer, not the researcher, + +00:04:03.360 --> 00:04:09.569 +was to write, or help write, a large +number of user applications. + +00:04:09.920 --> 00:04:12.169 +And I didn't actually think + +00:04:12.169 --> 00:04:16.860 +that for many of those utilities C was a  +very good language. + +00:04:18.181 --> 00:04:19.992 +And I thought, well, + +00:04:19.992 --> 00:04:27.120 +oh man, if we just could program ABC instead of  +C, each of those utilities would be like half a   + +00:04:27.120 --> 00:04:32.960 +page of code and I could write the entire suite  +of utilities in a couple of weeks instead of the   + +00:04:32.960 --> 00:04:35.800 +years that it looked like it +was going to take us. + +00:04:35.800 --> 00:04:40.840 +Except that ABC was so high and abstract, + +00:04:40.880 --> 00:04:49.120 +it wasn't a good language to talk to servers  +and file systems and processes and it sort of   + +00:04:49.120 --> 00:04:56.080 +the whole operating system thing was abstracted  +away from ABC. So I thought, well, there really   + +00:04:56.080 --> 00:05:03.040 +ought to be a language that sort of bridges the  +gap between C and shell. And we looked at Perl and   + +00:05:03.040 --> 00:05:11.120 +we didn't think it was any good as a programming  +language. It was about as bad as as Basic,   + +00:05:11.120 --> 00:05:18.880 +although in different ways. So, Python was also  +in a part built as an alternative to Perl. That's   + +00:05:18.880 --> 00:05:24.120 +where I decided, oh well, I'm going to see if  +I can make my own programming language. + +00:05:24.120 --> 00:05:27.602 +[Music] + +00:05:28.720 --> 00:05:34.800 +One Christmas holiday, I believe, he decided  +to spend his time designing and building a   + +00:05:34.800 --> 00:05:39.360 +new programming language for the operating  +system based on the principles that he'd   + +00:05:39.360 --> 00:05:40.808 +learned while on the ABC project. + +00:05:41.773 --> 00:05:46.080 +It was logical that I would +start with ABC as an example. + +00:05:46.080 --> 00:05:51.840 +The most prominent feature that  +Python borrowed from ABC is actually the use   + +00:05:51.840 --> 00:05:59.040 +of indentation for statement grouping. But it  +was also logical that I sort of dropped the   + +00:05:59.040 --> 00:06:04.632 +things from ABC that I didn't particularly  +like. That's how we ended up with Python. + +00:06:10.000 --> 00:06:18.720 +Okay. I finally was confident enough of  +the interpreter was complete enough that   + +00:06:18.720 --> 00:06:24.800 +I showed it to Lambert. He showed me a  +language he had developed stealthily,   + +00:06:24.800 --> 00:06:31.120 +which he called Python, named after Monty  +Python. I said look what I made. It was   + +00:06:31.120 --> 00:06:36.320 +clear to me that it had some resemblance  +to ABC. The command line prompt is even   + +00:06:36.320 --> 00:06:43.920 +the same. So Lambert watched me type a few  +things and.. Guido was excited about it and he   + +00:06:43.920 --> 00:06:48.240 +apparently thought I would be excited as well.  +At some point he had seen enough and he said,   + +00:06:48.240 --> 00:06:54.827 +"Can I try something?" And he types one very  +short line of code and it crashes the interpreter. + +00:06:56.960 --> 00:07:02.640 +And he knew that that it would. The point  +escaped me. I didn't know why he thought   + +00:07:02.640 --> 00:07:08.400 +this was better than ABC and why he had  +done this whole project. I went back and   + +00:07:08.400 --> 00:07:15.120 +the next day I had a fix for it. But it was  +a pretty crushing experience to be honest. + +00:07:28.480 --> 00:07:32.720 +It must have been at least half a year  +later, that I first got acquainted with   + +00:07:32.720 --> 00:07:40.240 +Python. So this is the office where Guido  +and I were holed up when he created Python.   + +00:07:40.240 --> 00:07:47.360 +There were two important users. Sjoerd was  +one of them and the other was Jack Jansen. + +00:07:47.360 --> 00:07:54.720 +Guido was sitting over there and I was sitting  +over there. If you want to prototype a program,   + +00:07:54.720 --> 00:08:01.280 +you sort of write the outlines of the program,  +but it doesn't actually work. When you do this   + +00:08:01.280 --> 00:08:07.920 +in Python, it actually works. It's readable.  +It's very easy to program and the indentation   + +00:08:07.920 --> 00:08:13.680 +is totally natural as far as I'm concerned  +anyway. Sjoerd and Jack were the most active   + +00:08:13.680 --> 00:08:18.960 +in using Python. You find bugs, you find the  +things that you want to extend and then telling   + +00:08:18.960 --> 00:08:26.000 +me about it because all they had to do was say,  +"Hey, Guido." It was the first real interactive   + +00:08:26.640 --> 00:08:30.960 +systems programming language. So, you could just  +sit and write and run it immediately without any   + +00:08:30.960 --> 00:08:39.040 +compilation. So, it was much more fun to use  +than the old programming languages, but slower. + +00:08:39.040 --> 00:08:43.440 +I think it was mostly Jack's idea in  +the end, while we all worked on it,   + +00:08:43.440 --> 00:08:50.880 +to make an open-source release. CWI allowed  +Guido to distribute Python to the world as   + +00:08:50.880 --> 00:08:55.760 +long as its copyright notice was there. They  +would have held back if they had known it   + +00:08:55.760 --> 00:09:00.560 +would be such an incredible success, which  +is good that they didn't know. Nobody knew.   + +00:09:00.560 --> 00:09:07.200 +I didn't either. Because if they had held back,  +it would never have become an incredible success. + +00:09:08.720 --> 00:09:13.200 +Then we had to actually physically do  +the release which turned out to be an   + +00:09:13.200 --> 00:09:22.640 +incredible pain because Usenet was  +the only thing we had to release it. + +00:09:22.640 --> 00:09:30.400 +Usenet was a network of, you could say, bulletin  +boards. People would write messages. They would   + +00:09:30.400 --> 00:09:35.600 +get distributed over the world and then there  +were the groups for all the different computer   + +00:09:35.600 --> 00:09:44.800 +languages. Usenet had a very strict limit on  +the size of a single post. First put your entire   + +00:09:44.800 --> 00:09:52.080 +source tree in a tarball. Then compress it and you  +have to do another step where you turn the binary   + +00:09:52.080 --> 00:10:01.360 +data into ASCII encoding. So you have this huge  +file with gobblygook, but it's at least printable   + +00:10:01.360 --> 00:10:09.040 +gobblygook. And then you apply another tool that  +snips it into pieces. Then there is a script where   + +00:10:09.040 --> 00:10:16.400 +if you have downloaded all 21 parts, you can  +undo all those operations in reverse. That was   + +00:10:16.400 --> 00:10:22.400 +what people put up with. So we did all the work on  +our side and plenty of people did all the work on   + +00:10:22.400 --> 00:10:31.920 +their side to unpack this because I had apparently  +written a very good teaser about what this was. + +00:10:34.920 --> 00:10:42.240 +[Music] Very quickly I started getting feedback  +via email or Usenet from people who had done   + +00:10:42.240 --> 00:10:50.960 +something exciting with it or who had  +found a bug and that just kept coming. + +00:10:50.960 --> 00:10:57.760 +We worked at Johnson Space Center. So our interest  +was putting together flight simulations and tools   + +00:10:57.760 --> 00:11:05.680 +for the design engineers that would be used  +for the shuttle program at the time. I remember   + +00:11:05.680 --> 00:11:14.960 +needing a scripting language to control a C++  +library project we were working on at the time.   + +00:11:14.960 --> 00:11:21.760 +Not too long into that search, I found Guido's  +Python distribution at CWI. I was able to FTP   + +00:11:21.760 --> 00:11:33.840 +that down, unpack it, compile it, and run it in  +a matter of 10 minutes or so. That was my first   + +00:11:33.840 --> 00:11:41.120 +impressive experience with Python. 20 years ago, a  +computer that cost a million dollars and filled an   + +00:11:41.120 --> 00:11:48.240 +entire room had less capability than an 11 pounds  +desktop computer today. With costs going down and   + +00:11:48.240 --> 00:11:53.600 +capabilities going up, the computer has entered  +our lives quickly and unobtrusively. There were   + +00:11:53.600 --> 00:11:59.520 +lots of things changing in a major way that made  +computing particularly exciting to be in. At that   + +00:11:59.520 --> 00:12:04.720 +time, computers suddenly were coming out of the  +machine room and landing up on your desk. And   + +00:12:04.720 --> 00:12:10.480 +then of course the web happened. Then it all  +exploded. After the internet came to Europe,   + +00:12:10.480 --> 00:12:17.920 +it was much easier for software to be distributed.  +Python very slowly took off. Then there was   + +00:12:17.920 --> 00:12:30.240 +a growing Python community which was very  +supportive like a big family you could almost say. + +00:12:30.240 --> 00:12:37.520 +Part of the benefit of this is that I don't..  +I'm like, there's no strain on my body at all.   + +00:12:37.520 --> 00:12:45.920 +I was working on developing a kind of distributed  +equipment database and a colleague at the lab,   + +00:12:45.920 --> 00:12:51.440 +Michael McLay, knew that I was looking for  +what was called a scripting language that was   + +00:12:51.440 --> 00:12:57.200 +also sophisticated that would enable you to build  +substantial things and not get bogged down in the   + +00:12:57.200 --> 00:13:04.240 +ragged edges. Scripting languages were designed  +to glue things together, to connect things that   + +00:13:04.240 --> 00:13:10.320 +already worked, that already existed. Immediately  +on trying it, I was just amazed and thought this   + +00:13:10.320 --> 00:13:18.960 +can't be as good as it is. And it was. Mike was  +interested in bringing Guido over and Guido was   + +00:13:18.960 --> 00:13:26.320 +interested in coming over. 99% of the people that  +I got in touch with were in the United States.   + +00:13:26.320 --> 00:13:33.600 +So Guido ended up coming and then Mike and Guido  +and I wanted to arrange a workshop so people who   + +00:13:33.600 --> 00:13:38.800 +were interested in Python could gather and talk  +about what they were working on and what they   + +00:13:38.800 --> 00:13:47.280 +felt was needed. This is the t-shirt for the first  +conference. And so this yeah that that was just   + +00:13:47.280 --> 00:13:55.920 +sort of flowy writing and on the on the back it  +gave the date of the conference. Spam, spam, spam,   + +00:13:55.920 --> 00:14:02.880 +spam. It's such a fantastic song. That workshop  +really is for me the beginning of the Python   + +00:14:02.880 --> 00:14:09.280 +community. November 1994, Gaithersburg, Maryland  +in this windowless government office building at   + +00:14:09.280 --> 00:14:15.200 +NIST. That was a great experience. It was about  +two days. We had 20 people. I still have the   + +00:14:15.200 --> 00:14:20.960 +t-shirt from that workshop. There was just kind  +of this feel of, hey, there's something happening.   + +00:14:20.960 --> 00:14:26.480 +This will be fun to hang out with the people  +that I chat with online, to actually see Guido   + +00:14:26.480 --> 00:14:31.840 +in person and actually make decisions. And we knew  +that if you impressed him with the feature and it   + +00:14:31.840 --> 00:14:35.840 +was an easy thing to install, he would add it to  +the language right there so that we can at least   + +00:14:35.840 --> 00:14:39.840 +try it out in beta form. There was like a whole  +room of people who knew what you were talking   + +00:14:39.840 --> 00:14:51.680 +about because they had all studied Python deeply  +or almost all. One of the people was Barry Warsaw. + +00:14:51.680 --> 00:15:01.840 +[Music] Around 1994, I joined a company, CNRI,  +Corporation for National Research Initiatives,   + +00:15:01.840 --> 00:15:07.840 +and we were building these software agents,  +little programs that can move around to   + +00:15:07.840 --> 00:15:12.400 +different computers on a network, and they pickle  +themselves up and move around to another place and   + +00:15:12.400 --> 00:15:18.960 +reconstitute themselves and do some more work.  +A friend of mine from NIST sent me an email and   + +00:15:18.960 --> 00:15:22.880 +said, "Hey, we've got this guy coming over from  +the Netherlands and he's going to talk about his   + +00:15:22.880 --> 00:15:28.320 +language. Do you want to come?" And so we went  +to the workshop and just absolutely fell in love   + +00:15:28.320 --> 00:15:36.400 +with of course Python and of course Guido. Even  +then, it had the feeling that there was a there   + +00:15:36.400 --> 00:15:42.080 +there was something that was going to happen  +that there was potential. I remember coming   + +00:15:42.080 --> 00:15:48.080 +back to CNRI saying, "Oh, this is great. we're  +going to use Python for sure in our project. And   + +00:15:48.080 --> 00:16:04.480 +one of our colleagues at CNRI said, "Well, what  +do you think? Why don't we just hire Guido?" + +00:16:04.480 --> 00:16:11.040 +CNRI was set up to sort of promote information  +infrastructure and foster research, help build   + +00:16:11.040 --> 00:16:16.800 +pilot projects, take the results and put  +them out into the public so that others   + +00:16:16.800 --> 00:16:22.160 +could then leverage it. Part of CNRI's mission  +was to cultivate internet based things. That's   + +00:16:22.160 --> 00:16:30.560 +why our name Corporation for National Research  +Initiatives has the word "initiatives" in there. + +00:16:32.720 --> 00:16:40.880 +We had a need for a language that would be easier  +for people to deal with than any other traditional   + +00:16:40.880 --> 00:16:46.960 +languages that were around at the time. I ran  +across a photograph. There was a party at CNRI,   + +00:16:46.960 --> 00:16:56.640 +years ago. It was probably I think 1996.  +And it's it's a Guido. Yeah. I used to say   + +00:16:56.640 --> 00:17:02.560 +Guido. Many people say Guido, but I said Guido  +and I'm sure I don't pronounce it right. Oh,   + +00:17:02.560 --> 00:17:07.840 +he was a very stylish person and he was a very  +strong fellow. Got introduced to him and it just   + +00:17:07.840 --> 00:17:13.760 +seemed like it was a good fit and so I made the  +job offer. For me, it was fantastic. There is no   + +00:17:13.760 --> 00:17:18.800 +doubt about that. One of the things he insists on  +if you want to get him to work for you is that he   + +00:17:18.800 --> 00:17:25.360 +has some fraction of his time, preferably as much  +as halftime if not more, to work on the language   + +00:17:25.360 --> 00:17:31.600 +itself. the fact that they could work full-time  +on Python because it turned out that the Knowbots   + +00:17:31.600 --> 00:17:38.880 +project was almost more an excuse to to hire  +me than I did much for that. I kind of feel   + +00:17:38.880 --> 00:17:44.880 +like our work on Python was a little subversive.  +You know, we tended to spend a lot more time on   + +00:17:44.880 --> 00:17:50.640 +Python than maybe we should have. I went to  +CNRI and since I had been a systems person,   + +00:17:50.640 --> 00:17:56.800 +I was responsible for setting up python.org. We  +should have also grabbed python.com even though   + +00:17:56.800 --> 00:18:01.760 +we didn't think of Python as a commercial  +enterprise because someone else got it and   + +00:18:01.760 --> 00:18:13.680 +uh used it to host a stupid porn site. For years  +we had to warn people go to python.org, not .com. + +00:18:13.680 --> 00:18:18.960 +It really was the perfect home, I think, for doing  +all of that early Python development - and develop   + +00:18:18.960 --> 00:18:24.320 +a lot of the infrastructure around Python. We  +had a meeting discussing making some kind of user   + +00:18:24.320 --> 00:18:30.640 +group or software organization where the Python  +software activity was proposed. We need a little   + +00:18:30.640 --> 00:18:35.360 +bit of governance, a little bit of organization,  +but we don't want too much because I don't think   + +00:18:35.360 --> 00:18:40.880 +any of us really liked bureaucracy. And then the  +question came up about what we should call Guido   + +00:18:40.880 --> 00:18:48.400 +as part of that. I think it was me who suggested  +that Guido be called the Benevolent Dictator and   + +00:18:48.400 --> 00:18:55.600 +then Barry suggested Benevolent Dictator for Life  +and that became an internet meme or actually a   + +00:18:55.600 --> 00:19:05.440 +software meme. Benevolent Dictator for Life was..  +you can find it on Wikipedia. Ultimately, you   + +00:19:05.440 --> 00:19:11.440 +know, Guido was the inventor of the language and  +the final decider about yes, this is going to make   + +00:19:11.440 --> 00:19:19.360 +it in or this is not going to make it in. I think  +I developed my own style during those first years.   + +00:19:19.360 --> 00:19:27.520 +All ideas are welcome, but I will choose which  +ideas I believe are right to add to the language.   + +00:19:27.520 --> 00:19:36.960 +There's dozens and dozens of aspects of  +Python today where somebody had a vision for,   + +00:19:36.960 --> 00:19:45.160 +if you just add this to Python, look at  +all these amazing things that I can do. + +00:19:45.160 --> 00:19:48.560 +[Music] + +00:19:48.560 --> 00:19:53.040 +I'm one of the many people that came to Python,  +not as a programmer, but as a scientist. Python   + +00:19:53.040 --> 00:19:57.920 +wasn't the first language I used for science. I  +was doing satellite data processing and I used   + +00:19:57.920 --> 00:20:01.600 +Perl to do it and then a year later I would come  +back and try to figure out what I'd done and I   + +00:20:01.600 --> 00:20:07.840 +had no idea. Python had the opposite experience. I  +first started using Python in 1997. I just used it   + +00:20:07.840 --> 00:20:12.480 +to do some scripting, do some data processing with  +some medical imaging data and I was like this is   + +00:20:12.480 --> 00:20:18.480 +nice. This is pretty cool. A year later, so 1998,  +I came back to look at the code I'd written and I   + +00:20:18.480 --> 00:20:23.040 +could read it. I understood what I did. And that  +was kind of for me the convincing data that said,   + +00:20:23.040 --> 00:20:28.240 +"Oh, I need to dig in on this language."  +And there were a few really key people at   + +00:20:28.240 --> 00:20:32.640 +that time who were publishing or talking about  +how to use Python for science. Not very many,   + +00:20:32.640 --> 00:20:38.640 +but a few. Konrad Hinsen was one of them, I  +remember, and David Ascher and Jim Hugunin.   + +00:20:38.640 --> 00:20:45.840 +There's been a number of stages in the life  +cycle of Python, when it just grew from a a core   + +00:20:45.840 --> 00:20:52.080 +language capability to a platform with a number of  +different specialty modules and packages that made   + +00:20:52.080 --> 00:20:59.120 +it very very useful for certain user communities.  +The first one was probably the numeric community,   + +00:20:59.120 --> 00:21:04.320 +the science and engineering folks that wanted  +high performance matrix operations to be done.   + +00:21:04.320 --> 00:21:09.040 +Even though Guido wasn't a scientist himself,  +wasn't necessarily deeply concerned with the   + +00:21:09.040 --> 00:21:16.480 +same things that we were concerned with as  +scientists, he was open to the suggestions. + +00:21:16.480 --> 00:21:19.840 +I think one of the things that people don't  +appreciate about the Python language as much   + +00:21:19.840 --> 00:21:25.360 +now that it's so popular and mainstream  +is how important it was that Guido was   + +00:21:25.360 --> 00:21:31.840 +open to new ideas and open to the needs of  +people who are not traditional programmers.   + +00:21:32.640 --> 00:21:41.120 +I think he had a very clear-eyed quiet focus  +on understanding some things about the future   + +00:21:41.120 --> 00:21:46.560 +that he built into the language. It was uniquely  +suited to its environment. One of the reasons I   + +00:21:46.560 --> 00:21:50.640 +used Python and I think a lot of people used  +Python at the time is that in the early 2000s,   + +00:21:50.640 --> 00:21:55.360 +the world was almost divided into here's an  +open source ecosystem or you can go and use   + +00:21:55.360 --> 00:22:00.000 +Java which is actually a paid thing. I  +was using MATLAB. I really didn't like   + +00:22:00.000 --> 00:22:02.880 +the fact that when I wrote code and I  +wanted to share that code with others,   + +00:22:02.880 --> 00:22:07.440 +I was essentially telling people they had to go  +buy a license for a software package before they   + +00:22:07.440 --> 00:22:10.320 +could even look at my or use my code. You  +know, these are the days where you have to   + +00:22:10.320 --> 00:22:16.720 +like buy the developer tools or spend a couple  +hundred bucks to get Visual Studio 6.0 and then   + +00:22:16.720 --> 00:22:21.120 +Python and then all of these libraries were open  +source and then could be adapted, could be used   + +00:22:21.120 --> 00:22:27.120 +in a commercial project. I was sort of early  +on convinced by community members that Python   + +00:22:27.120 --> 00:22:33.440 +being open- source and the particular way it was  +open source was very important so that people   + +00:22:33.440 --> 00:22:48.000 +would feel comfortable using Python to make great  +things that they would then be able to to sell. + +00:22:51.320 --> 00:22:58.080 +[Music] In 1998, Blender was published on  +the internet. The software was free and   + +00:22:58.080 --> 00:23:04.080 +then you could buy some things around it.  +We were restricted to use open source. So,   + +00:23:04.080 --> 00:23:10.880 +you didn't have a lot of options. We were doing a  +call on our website like what is the most popular   + +00:23:10.880 --> 00:23:18.400 +scripting language that we should add in Blender?  +Perl was really big and Python was upcoming and   + +00:23:18.400 --> 00:23:24.640 +there were some others. And it was interesting  +to see that everybody who was advising us to   + +00:23:24.640 --> 00:23:32.960 +use Perl as scripting language but they only  +advertised how great Perl is. And the people   + +00:23:32.960 --> 00:23:38.880 +who came more from the Python background who  +said well I think Python is a better choice.   + +00:23:38.880 --> 00:23:43.280 +They came with a balanced opinion. And they  +said okay Perl will give you this and this   + +00:23:43.280 --> 00:23:49.760 +and this and Python will give you other things  +and balancing all of it I would recommend you to   + +00:23:49.760 --> 00:24:04.320 +do Python and only for that reason I picked  +Python just because the people were nicer. + +00:24:04.320 --> 00:24:09.360 +It was honestly just a lot of enthusiasts. It was  +a lot of people who just enjoyed the language,   + +00:24:09.360 --> 00:24:12.560 +enjoyed the people involved with the  +language and it would just happen   + +00:24:12.560 --> 00:24:16.000 +to be typically motivating enough for  +people to want to help out. Ultimately,   + +00:24:16.000 --> 00:24:21.680 +there's a sense of fun that comes across  +and Guido coded that into the name of the   + +00:24:21.680 --> 00:24:30.640 +language influenced by Monty Python. It creates  +a sense of community to have your little jokes. + +00:24:30.640 --> 00:24:37.600 +Tim Peters is a famous early example of blending  +both like the aesthetics of Python and humor. Tim   + +00:24:37.600 --> 00:24:45.360 +Peters was this mythical feature.. creature in  +the world of Python, and no one had met him. He   + +00:24:45.360 --> 00:24:51.760 +was out there in the ether as a wise one to give  +us advice on what to do with numerical processing.   + +00:24:51.760 --> 00:24:58.400 +Steve Majewski sent me some email telling me about  +Python. So I started a email correspondence with   + +00:24:58.400 --> 00:25:03.120 +Guido about the language and about the design  +and I got some of the pre-release code and played   + +00:25:03.120 --> 00:25:10.880 +with it and talked to him about design decisions  +and liked it very much. Tim Peters was a Python   + +00:25:10.880 --> 00:25:18.560 +contributor and community member and mentor  +to me from very early on. Tim was a channeler   + +00:25:18.560 --> 00:25:24.560 +of Guido. He had a really unique way of saying: I  +think Guido's going to like this or I don't think   + +00:25:24.560 --> 00:25:30.240 +Guido is going to like that. There's a poem called  +the Zen of Python which is a partially humorous,   + +00:25:30.240 --> 00:25:39.600 +partially serious poem about the the aesthetics of  +of Python. I'm actually looking at the Usenet post   + +00:25:39.600 --> 00:25:47.840 +where Tim posted his first version of the Zen of  +Python, although he called it the Way of Python.   + +00:25:47.840 --> 00:25:54.160 +And it was in response to some discussion  +where people were complaining that they   + +00:25:54.160 --> 00:25:59.680 +didn't understand what was Python's philosophy.  +They couldn't figure me out. And Tim had figured   + +00:25:59.680 --> 00:26:09.280 +me out and he put it basically in poetry. Here  +is the Way of Python by Tim Peters from 1999.   + +00:26:09.280 --> 00:26:15.920 +Beautiful is better than ugly. Duh. Explicit  +is better than implicit. Simple is better than   + +00:26:15.920 --> 00:26:23.280 +complex. Complex is better than complicated. And I  +love that distinction. Flat is better than nested.   + +00:26:23.280 --> 00:26:29.920 +Sparse is better than dense. Readability counts. I  +will say it counts for a lot. Special cases aren't   + +00:26:29.920 --> 00:26:36.400 +special enough to break the rules. Although  +practicality beats purity. Errors should never   + +00:26:36.400 --> 00:26:43.760 +pass silently unless explicitly silenced. In the  +face of ambiguity, refuse the temptation to guess.   + +00:26:43.760 --> 00:26:51.520 +I did not follow that in a very key piece of NumPy  +and it's still a mess. There should be one and   + +00:26:51.520 --> 00:26:59.280 +preferably only one obvious way to do it. That's  +a direct reference to Perl's motto of there's   + +00:26:59.280 --> 00:27:03.680 +more than one way to do it by the way. Although  +that may not be obvious at first, unless you're   + +00:27:03.680 --> 00:27:09.760 +Dutch. Now is better than never. Although never is  +often better than right now. If the implementation   + +00:27:09.760 --> 00:27:15.520 +is hard to explain, it's a bad idea. That's a  +really good one. If the implementation is easy   + +00:27:15.520 --> 00:27:21.840 +to explain, it may be a good idea. Name spaces  +are one honking great idea. Let's do more of   + +00:27:21.840 --> 00:27:31.360 +those. This is so Tim. Normally 'import this',  +imports some useful library, which is very serious   + +00:27:31.360 --> 00:27:38.000 +business. Having an 'import this' that was just  +a joke was a bit of lightness that we liked to   + +00:27:38.000 --> 00:27:43.120 +add. This is from a small hobbyist community,  +right? Because if you're a corporate behemoth   + +00:27:43.120 --> 00:27:47.120 +making a a programming language, like someone's  +probably going to tell you that you can't put a   + +00:27:47.120 --> 00:27:52.720 +silly poem in your in your programming language,  +but Python's just made by dogs on the internet,   + +00:27:52.720 --> 00:28:00.240 +so they can put poems in their software. [Music]  +The different ways to make money on the internet   + +00:28:00.240 --> 00:28:05.440 +are just beginning to emerge. Entrepreneurs are  +putting their faith in a new medium to deliver   + +00:28:05.440 --> 00:28:11.200 +the big payoff. It's the dot-com bubble, all  +this money pumping into Silicon Valley software   + +00:28:11.200 --> 00:28:19.600 +and internet stuff. Early 2000, I decided to  +leave CNRI and with a few co-workers joined   + +00:28:19.600 --> 00:28:27.120 +little startup named BeOpen. While CNRI, I think,  +was an amazing home for Python in the early days,   + +00:28:27.120 --> 00:28:31.760 +everything changes and everything evolves and  +thinking, well if we're going to strike out on our   + +00:28:31.760 --> 00:28:38.480 +own this is probably the right time to do that.  +That didn't work out. I'd say within maybe a year   + +00:28:38.480 --> 00:28:45.200 +or something. BeOpen was completely incompetent.  +We spent the summer in blissful ignorance working   + +00:28:45.200 --> 00:28:53.120 +full-time on Python. We built and released Python  +2 and within 5 months it was over. We were paid   + +00:28:53.120 --> 00:29:02.400 +our salaries every 2 weeks, and then suddenly in  +late October we weren't. [Music] It was a moment   + +00:29:02.400 --> 00:29:08.400 +where the [ __ ] could have hit the fan. If all  +the Python guys went their separate ways... Python   + +00:29:08.400 --> 00:29:14.880 +wasn't big enough to survive that at the time.  +That was when I had a company Digital Creations   + +00:29:14.880 --> 00:29:19.840 +that later became Zope, which is an application  +server, database server, index server, web server,   + +00:29:19.840 --> 00:29:26.240 +etc. Very large scale commercial quality  +application written in Python. And if Python died,   + +00:29:26.240 --> 00:29:32.560 +you know who else would die? We'd die. The whole  +platform was built on Python. So they were Python   + +00:29:32.560 --> 00:29:40.560 +experts. We need to go and make sure that Python  +is secure for the future and that the team stays   + +00:29:40.560 --> 00:29:49.520 +together. So we negotiated an agreement with them  +to join my company. That was an incredibly lucky   + +00:29:49.520 --> 00:29:53.760 +rescue. We felt like we really trusted them  +and we believed in what they were doing and   + +00:29:53.760 --> 00:30:00.320 +what they wanted to do with Python and for Python.  +This is a place that I'm proud of. In hindsight,   + +00:30:00.320 --> 00:30:06.160 +it was a really critical point in Python's life.  +I think if we had chosen wrong or tried to say,   + +00:30:06.160 --> 00:30:11.040 +"Oh, well, we'll just strike out on our  +own anyway." You never know. But I'm not   + +00:30:11.040 --> 00:30:33.913 +so sure that Python would have survived  +that juncture in its life. Yeah. [Music] + +00:30:33.913 --> 00:30:33.920 +[Music] + +00:30:33.920 --> 00:30:40.000 +Python just kept sort of growing and  +the community kept self-organizing.   + +00:30:40.000 --> 00:30:48.400 +One of the I think underlying themes of Python,  +if you take it in its totality, is this sense of   + +00:30:48.400 --> 00:30:56.720 +grassroots movements. Things grow from the bottom  +up and evolve to the point where everybody sort of   + +00:30:56.720 --> 00:31:02.880 +realizes, oh, we need a little bit more structure.  +Oh, the Python Software Foundation. In my opinion,   + +00:31:02.880 --> 00:31:10.000 +the PSF, that damn thing was a success from day  +one. That came out of one of the concerns we had   + +00:31:10.000 --> 00:31:19.280 +had with BeOpen actually. So CNRI had written  +a license for Python and put its name on it and   + +00:31:19.280 --> 00:31:26.000 +BeOpen had copied a version of that license  +and put the BeOpen name on it. There was a   + +00:31:26.000 --> 00:31:32.400 +concern that at some point I might accidentally  +end up working for a company that tried to grab   + +00:31:32.400 --> 00:31:39.040 +ownership of Python. We realized that we really  +need an organization that will be independent,   + +00:31:39.040 --> 00:31:47.760 +will not be beholden to any company and their  +whims and their lawyers and will really keep   + +00:31:47.760 --> 00:31:59.840 +Python users as their first and foremost customer,  +so to speak, in mind. [Music] And then the magic   + +00:31:59.840 --> 00:32:17.920 +happened when we got into PyCon, which is maybe  +the third stool of the miracle of Python. [Music] + +00:32:17.920 --> 00:32:24.160 +What has been your take away from PyCon US this  +year? It feels like people are still willing to   + +00:32:24.160 --> 00:32:29.440 +go do hard things, work on things together, you  +know. Wow. They still do have the passion to be   + +00:32:29.440 --> 00:32:35.280 +honest. So, what was it for you? Uh, for me most  +definitely like meeting people I haven't met in   + +00:32:35.280 --> 00:32:40.640 +a while. That's cool. Yeah. And just pretty  +much hanging out with them. You try to walk,   + +00:32:40.640 --> 00:32:45.040 +Yeah, to the other side. There's like 10  +people that you want to see in between like   + +00:32:45.040 --> 00:32:52.080 +stop. I want to talk to you. Oh, I know. Pablo  +and Yuri presented as bananas and then Lukasz   + +00:32:52.080 --> 00:32:56.480 +asked the question dressed as a banana.  +And then Guido came in just as a banana   + +00:32:56.480 --> 00:33:01.760 +as well. Thank you for what you do for the  +PSF. Please don't step down. Just keep doing   + +00:33:01.760 --> 00:33:08.080 +it forever. Raise your hand if you love the  +web. Just raise your hand. Raise your hand   + +00:33:08.080 --> 00:33:17.360 +if you have done React front-ends. Raise your  +hand if you would like to come back. To React? + +00:33:17.360 --> 00:33:24.320 +No, come back to Python. All right. Good. For  +the record, 100%. I begged my mother to take   + +00:33:24.320 --> 00:33:33.280 +me to PyCon and I met all my online heroes. He  +was this distant Benevolent Dictator for life   + +00:33:33.280 --> 00:33:38.240 +who I'd been talking to over the internet, but  +here he was in person and so I was thrilled to   + +00:33:38.240 --> 00:33:43.040 +be able to finally meet him. Then I  +think everyone was aware that he was   + +00:33:43.040 --> 00:33:49.520 +a 15-year-old kid on the other end of the  +terminal. When PyCon was held in Montreal,   + +00:33:49.520 --> 00:33:55.680 +the organizer asked me if I'd be willing to  +give an opening address to the conference. Well,   + +00:33:55.680 --> 00:34:02.160 +I'm a slightly fast talker and I had some spare  +time and I just used it as an opportunity to say   + +00:34:02.160 --> 00:34:06.160 +thank you. "I like to think of it as I came for  +the language, but I stayed for the community. So,   + +00:34:06.160 --> 00:34:10.480 +I want to personally thank all of you for  +making this such a wonderful place to be   + +00:34:10.480 --> 00:34:15.120 +and such a wonderful group of people to be  +around. So, thank you". Luckily, it came   + +00:34:15.120 --> 00:34:21.520 +off well because people still quote it. I think  +it kind of speaks to the core ethos of Python.   + +00:34:21.520 --> 00:34:28.880 +We try to develop this tool that people can use  +for their needs to get their work done. But the   + +00:34:28.880 --> 00:34:36.520 +community is the true strength of Python. It's  +not just the language, right? It's the people. + +00:34:36.520 --> 00:34:43.840 +[Music] It was steadily growing every single  +year. It was getting more and more downloads,   + +00:34:43.840 --> 00:34:50.160 +more and more people making use of it. It  +became a more sophisticated language that was   + +00:34:50.160 --> 00:34:57.760 +fit for purpose for this new emerging programming  +paradigm where the the web itself is the platform.   + +00:34:57.760 --> 00:35:04.640 +He told me an interesting number that that made me  +realize that the Python user community was already   + +00:35:04.640 --> 00:35:10.960 +much bigger than I had estimated because  +he said, "Guido, you don't know the sales   + +00:35:10.960 --> 00:35:17.600 +numbers for Python books, but I am Tim O'Reilly.  +I published the two most important ones and I do   + +00:35:17.600 --> 00:35:23.920 +know the sales numbers and they are fantastic."  +I don't know if he had that much enthusiasm in   + +00:35:23.920 --> 00:35:30.880 +his voice then, but he was sharing this new  +to me important fact which made me realize,   + +00:35:30.880 --> 00:35:38.720 +oh my gosh! Python tends to get spikes when  +certain specialties, I guess you could say,   + +00:35:38.720 --> 00:35:44.080 +pick the language up and decide that this is  +a thing that they want to use in their area.   + +00:35:44.080 --> 00:35:49.600 +Everybody wanted to to do things with the  +worldwide web and Python actually became   + +00:35:49.600 --> 00:35:57.200 +a really powerful platform for for doing not  +just web pages but web servers and services and   + +00:35:57.200 --> 00:36:07.680 +suddenly we had an increase of people coming in  +from the web world. [Music] I think Dropbox was   + +00:36:07.680 --> 00:36:12.960 +one of the early companies to start building  +in Python and reaching millions of users.   + +00:36:14.080 --> 00:36:18.480 +My name's Drew and I'll be showing you a quick  +tour of Dropbox, which is a new way to store and   + +00:36:18.480 --> 00:36:24.000 +share files online. Python had been largely viewed  +as scripting language you run on the back end or   + +00:36:24.000 --> 00:36:29.040 +maybe in an academic setting or in a scientific  +setting, but not really for like production   + +00:36:29.040 --> 00:36:33.760 +desktop software that you ship to millions of  +people. But I just started writing in Python   + +00:36:33.760 --> 00:36:38.000 +and hoping that none of the roadblocks would  +completely blow me up. You can develop programs   + +00:36:38.000 --> 00:36:43.520 +much faster in Python because it's a higher level  +language and it's a very clean easy language and   + +00:36:43.520 --> 00:36:48.960 +so we could we could be a lot more competitive  +than other companies who were writing with Java   + +00:36:48.960 --> 00:36:54.960 +or C++ or Perl. Even back then we were competing  +against the Google's and Microsofts of the world   + +00:36:54.960 --> 00:37:00.720 +and you know our odds didn't seem very good. So  +we needed all the help we can get. Google had this   + +00:37:00.720 --> 00:37:06.400 +big team like a hundred people, C++ programmers,  +trying to do a video hosting site and they could   + +00:37:06.400 --> 00:37:10.880 +never keep up with this little thing over there  +called YouTube and they went and looked and it was   + +00:37:10.880 --> 00:37:16.480 +just a couple of people writing Python. Python  +ended up being a big force multiplier on our   + +00:37:16.480 --> 00:37:25.200 +effort and no other language that we considered  +had anything close to that kind of capability. + +00:37:27.160 --> 00:37:28.160 +[Music] + +00:37:28.160 --> 00:37:32.080 +The fact that data science suddenly  +became a thing that you had to do,   + +00:37:32.080 --> 00:37:39.200 +combined with the fact that Python was sort  +of well positioned to do data science stuff   + +00:37:39.200 --> 00:37:50.080 +meant a huge amount of new Python users flowed in. + +00:37:50.080 --> 00:37:56.800 +What was starting to happen in the 2009-2010  +time frame, we were seeing more and more of   + +00:37:56.800 --> 00:38:03.360 +our consulting deals tied to using Python not as  +really a replacement for MATLAB or engineering   + +00:38:03.360 --> 00:38:09.680 +type things, but using Python for doing data  +processing. We didn't call it data science at the   + +00:38:09.680 --> 00:38:13.360 +time, but it was that kind of work, right? It was  +modeling, predictive analytics, things like that.   + +00:38:13.360 --> 00:38:18.320 +This is the time of Hadoop, the time of big data,  +the time of Spark, and people were doing Java at   + +00:38:18.320 --> 00:38:24.160 +scale. We were starting to do much more consulting  +work in the financial industry and we'd walk into   + +00:38:24.160 --> 00:38:28.880 +these large very well-capitalized firms and they  +were using Python to do business data processing.   + +00:38:28.880 --> 00:38:33.200 +I realized okay if it's a research group over  +here doing some science research and they don't   + +00:38:33.200 --> 00:38:38.640 +have money and they use an open source thing  +I get it but if you have JP Morgan right which   + +00:38:38.640 --> 00:38:43.120 +has a lot of money and they're picking up and  +using these scientific tools and they're loving   + +00:38:43.120 --> 00:38:48.800 +it. I realized that we didn't just have a cheap  +free alternative. We actually had something that   + +00:38:48.800 --> 00:38:54.480 +was innovative and that was doing something fairly  +unique. Peter and I ended up leaving Enthought and   + +00:38:55.120 --> 00:39:02.160 +starting another company. We started as Continuum  +Analytics actually and its vision was to scale   + +00:39:02.160 --> 00:39:08.640 +NumPy and Pandas to large data sets and large  +clusters. We quickly ran into a simple problem,   + +00:39:08.640 --> 00:39:12.880 +very quickly in, but a very annoying problem.  +Yes. people just couldn't even install the   + +00:39:12.880 --> 00:39:19.200 +software needed to run all this Python stuff. The  +thing about the Python scientific and data stack   + +00:39:19.200 --> 00:39:23.680 +is that all of these different libraries, they're  +very different than the web development libraries   + +00:39:23.680 --> 00:39:28.320 +because these data libraries are often backed  +by a very large amount of complex C++, Fortran,   + +00:39:28.320 --> 00:39:34.000 +other kinds of software modules. And to build  +those correctly takes some work. To build them   + +00:39:34.000 --> 00:39:38.880 +correctly on every operating system takes even  +more work. And then to build them so that they   + +00:39:38.880 --> 00:39:44.640 +can actually be connected together, that requires  +you to have this entire build system rationalized.   + +00:39:44.640 --> 00:39:48.640 +And so the very first thing we did was like make  +a distribution of Python to make it easy to get   + +00:39:48.640 --> 00:39:52.800 +that installed. A lot of the data science Python  +people, they didn't even use normal Python. They   + +00:39:52.800 --> 00:39:56.720 +used this Anaconda Python distribution. Sort of  +a dumb joke that I came up with at one point.   + +00:39:56.720 --> 00:40:03.360 +It was basically Python for big data. So it's a  +big snake. So Anaconda. After like a few years,   + +00:40:03.360 --> 00:40:07.520 +we kept going to conferences and going  +to places and people wouldn't know who we   + +00:40:07.520 --> 00:40:11.200 +were. But the instant that we mentioned that  +we make Anaconda, they would say, "Oh, yeah,   + +00:40:11.200 --> 00:40:14.880 +of course. I love Anaconda. I use it all the  +time." Right? So, after that happened like the   + +00:40:14.880 --> 00:40:19.280 +thousandth time, we said, "Okay, maybe we should  +rename the company Anaconda." Data engineering   + +00:40:19.280 --> 00:40:26.560 +became a discipline where Python was incredibly  +entrenched. It was Python and R. And over time,   + +00:40:26.560 --> 00:40:31.200 +Python's data analysis libraries caught up and  +plotting libraries and stuff started to catch up   + +00:40:31.200 --> 00:40:36.720 +to what R had. And then people realized, oh well,  +with Python, I can work end to end with my data   + +00:40:36.720 --> 00:40:42.240 +versus R being very good at data analysis, but  +not necessarily like the data collection stage   + +00:40:42.240 --> 00:40:46.960 +and various other stages. I remember going to  +a Python conference at one point. I was like,   + +00:40:46.960 --> 00:40:52.160 +there's so many sciency people here like where  +are all the web developers? This is all data data   + +00:40:52.160 --> 00:40:55.440 +pipelines and stuff. I don't want to be immodest  +about this because it was a collective effort for   + +00:40:55.440 --> 00:40:59.840 +the whole community, but I think that what we  +did at Anaconda, not only making the software   + +00:40:59.840 --> 00:41:04.640 +installer that made it one click for people to  +just run, but also shephering the conferences   + +00:41:04.640 --> 00:41:09.680 +and building that community and and whatnot  +was really critical. They were incredibly   + +00:41:09.680 --> 00:41:20.120 +important contributions. I think we actually made  +Python super popular. I I think we did. [Music]   + +00:41:24.480 --> 00:41:28.960 +Well, I remember hearing from a friend of  +mine that Guido van Rossum was just working   + +00:41:28.960 --> 00:41:34.560 +at Google. And that when I thought about  +it, I'm like, wait, yeah, Guido, I guess,   + +00:41:34.560 --> 00:41:41.120 +works at a normal company and I can't remember  +the exact circumstances, but I think either   + +00:41:41.120 --> 00:41:45.920 +I got an introduction to him or I just maybe I  +think maybe just send him an email saying, "Hey,   + +00:41:45.920 --> 00:41:52.720 +um, big fan of your work." you know, it's like fan  +mail basically. And he responded and we got lunch.   + +00:41:52.720 --> 00:41:58.400 +I mean, he's a hero of mine and he was totally  +friendly and approachable. And at that talk,   + +00:41:58.400 --> 00:42:04.480 +it was revealed that Dropbox was entirely written  +in Python, both the client and the server,   + +00:42:04.480 --> 00:42:08.640 +and that was exciting. He was interested in  +what we were doing with Python. And I think   + +00:42:08.640 --> 00:42:15.040 +we were stretching the language and the runtime in  +interesting ways. He approached me again and said,   + +00:42:15.040 --> 00:42:21.520 +"Hey, we would really like you to work for us."  +And then to my surprise and delight, he ended up   + +00:42:21.520 --> 00:42:28.400 +joining the Dropbox team, which was super exciting  +for all of us. I stayed there for 7 years. We did   + +00:42:28.400 --> 00:42:35.280 +more important stuff for Python than I did during  +7 years at Google I think. I think he had a big   + +00:42:35.280 --> 00:42:39.680 +impact on the rest of the team. You know, here's  +someone who's one of the icons of computing,   + +00:42:39.680 --> 00:42:45.360 +but you would never know it just from his, you  +know, how he badges in to the office every day   + +00:42:45.360 --> 00:42:52.720 +and I think set a really great example in terms  +of being super humble and curious and friendly.   + +00:42:52.720 --> 00:43:00.320 +You know, it's hard for me to think of someone  +who has had more impact with lower ego. Uh,   + +00:43:00.320 --> 00:43:08.400 +let's start with the first Python license  +plate. Sorry, that was my car when we lived in   + +00:43:08.400 --> 00:43:17.040 +Virginia. And there was a box on the application  +- sorry, just grabbing the other one, too - uh,   + +00:43:17.040 --> 00:43:23.040 +do you want a custom license plate? So, I managed  +to get Python in Virginia and in California,   + +00:43:23.040 --> 00:43:30.800 +Python was long taken. Like someone in Silicon  +Valley probably has a Python license plate   + +00:43:30.800 --> 00:43:40.160 +somewhere. So, the best I could get was PY3K,  +which I thought was pretty pretty cute anyway. + +00:43:40.160 --> 00:43:46.320 +It became ever more popular and people  +started thinking about flaws in the   + +00:43:46.320 --> 00:43:51.360 +language. There were a lot of ideas floating  +around the core development community,   + +00:43:51.360 --> 00:43:54.640 +changes you could make to the language that  +people thought would be major improvements.   + +00:43:54.640 --> 00:44:00.160 +The only problem with them was that they would  +break old Python code that currently existed.   + +00:44:00.160 --> 00:44:06.560 +Some of that probably got away  +from us a little bit in hindsight. + +00:44:06.560 --> 00:44:15.200 +We released Python 3.0 in December of  +2007. I remember because I was actually   + +00:44:15.200 --> 00:44:20.640 +interning under Guido at the time. We were  +giving people roughly 5 years, I think,   + +00:44:20.640 --> 00:44:25.280 +to do the transition. And everyone thought  +that was just extraordinarily generous. The   + +00:44:25.280 --> 00:44:30.560 +world would totally be on Python 3 in just a few  +years. This is best for the language long term.   + +00:44:30.560 --> 00:44:33.600 +We're going to make these changes. The community  +has always come along with us. We think they'll   + +00:44:33.600 --> 00:44:43.280 +come along this journey as well. We were very  +naive about that and they they made us know it. + +00:44:43.280 --> 00:44:47.200 +The community said, "No, not worth  +it. Kill it. Don't do it. It's not   + +00:44:47.200 --> 00:44:55.440 +going to work." This included some very  +notable individuals in the community. + +00:45:03.680 --> 00:45:09.280 +So, please welcome our next speaker. + +00:45:09.280 --> 00:45:14.400 +Hi, my name is Armin. You might be familiar with  +some of the Python libraries that I wrote and   + +00:45:14.400 --> 00:45:19.520 +you might even maybe use some of them. The  +Python 2 to Python 3 transition. Initially,   + +00:45:19.520 --> 00:45:24.000 +it happened very gradually over many years. There  +was the version that everybody used and there was   + +00:45:24.000 --> 00:45:27.920 +sort of the version on the side that was built  +that nobody used. People didn't want to put in the   + +00:45:27.920 --> 00:45:37.760 +effort because their code worked, you know, why  +rewrite it. It's very hard to mix Python 2 and 3. + +00:45:37.760 --> 00:45:41.760 +It's uh it's a it's a headache.  +So I just didn't move and a lot   + +00:45:41.760 --> 00:45:46.400 +of people didn't move. It felt there's a  +likelihood that it will not go anywhere.   + +00:45:46.400 --> 00:45:53.360 +It felt much more like a top-down decision than  +any of the things in the past. And that top- down   + +00:45:53.360 --> 00:46:00.800 +decision, I think for some people felt like it  +was not inclusive of the real pains of people who   + +00:46:00.800 --> 00:46:08.800 +had a long tale of use cases. I think I severely  +underestimated how successful Python already was.   + +00:46:08.800 --> 00:46:16.720 +How many people had written so much code in  +Python 2 that it would be hard for them to   + +00:46:16.720 --> 00:46:23.120 +sort of put the effort into translate to Python  +3. I thought the most controversial thing by far   + +00:46:23.120 --> 00:46:28.160 +was that we wanted to change the way Unicode  +was handled. A way to say these things are   + +00:46:28.160 --> 00:46:32.800 +strings and they're human consumable. They're  +words that people want to read and write and   + +00:46:32.800 --> 00:46:37.360 +these things are bytes. These are things  +that computers want to read and write. + +00:46:39.360 --> 00:46:46.080 +We basically made all strings Unicode and we made  +you use a new prefix 'b' for bytes. And this was   + +00:46:46.080 --> 00:46:50.640 +incredibly disturbing. I was implementing  +a WSGI library at the time and one of the   + +00:46:50.640 --> 00:46:54.800 +things that you do when you implement WSGI,  +is that you have to parse HTTP data. You have   + +00:46:54.800 --> 00:46:59.680 +to parse cookie data. And there there was  +always a mixture of bytes and Unicode. And   + +00:46:59.680 --> 00:47:04.400 +it was very easy to work with on Python 2. And  +it was incredibly annoying to work on Python 3,   + +00:47:04.400 --> 00:47:10.320 +at least initially. There really wasn't  +a way to convert your Python 2 code to   + +00:47:10.320 --> 00:47:14.880 +Python 3. The tools didn't exist. I  +started writing blog posts about it.   + +00:47:14.880 --> 00:47:31.600 +Why I think that in the way which Python 3  +works right now, I just cannot see the move. + +00:47:31.600 --> 00:47:37.280 +He was a valued community member. And at  +the time I was actually quite surprised   + +00:47:37.280 --> 00:47:45.040 +that he was so viciously attacking Python  +3. I was probably even more negative on it   + +00:47:45.040 --> 00:47:50.080 +than appropriate. But Python had such a good  +run and I put so much energy into it. I was   + +00:47:50.080 --> 00:47:54.160 +part of like building out web frameworks  +and and all these libraries. I felt like:   + +00:47:54.160 --> 00:47:59.200 +why are we ruining all of this with this move  +that didn't even have that many benefits.   + +00:47:59.200 --> 00:48:06.560 +I had not appreciated how many people already  +had enormous code bases or were on their way   + +00:48:06.560 --> 00:48:13.760 +to building up enormous code bases. The payback  +for that was that I had to initiate the project   + +00:48:13.760 --> 00:48:22.640 +at Dropbox. We had a pretty long road to migrate  +many millions of lines of Python 2 code. 5 million   + +00:48:22.640 --> 00:48:28.640 +lines of code in the server alone and another  +million for the client. That is a very large   + +00:48:28.640 --> 00:48:48.400 +pile of code to transform. And so we had to  +invent ways of sort of doing it in in pieces. + +00:48:55.080 --> 00:48:56.080 +[Laughter]   + +00:48:56.080 --> 00:49:01.280 +A funny sticker I found in my pocket.  +There's a built tool called Bazel.   + +00:49:01.280 --> 00:49:07.040 +It's sort of a frozen version of  +Python 2. So here the sticker says   + +00:49:07.040 --> 00:49:12.880 +after re-education enemy of the people  +Python denounced their bourgeois class,   + +00:49:12.880 --> 00:49:18.160 +renounced formalist notions like Turing  +incompleteness and began a new life as   + +00:49:18.160 --> 00:49:26.000 +citizen Starlark. This is especially an  +example of Benjamin Peterson's humor.   + +00:49:27.280 --> 00:49:33.760 +I had the fortune or the misfortune depending how  +you see it to be the uh Python 2.7 release manager   + +00:49:33.760 --> 00:49:41.920 +for an entire decade. We had to adjust our plans  +for Python 3 and for Python 2 so that there was   + +00:49:41.920 --> 00:49:48.720 +a longer series of releases where there were both  +new Python 2 versions and new Python 3 versions.   + +00:49:48.720 --> 00:49:53.680 +What ended up happening is then the community was  +like maintaining 2 and 3 and that created a lot   + +00:49:53.680 --> 00:49:59.120 +of burden. And so this was happening all during  +the growth of NumPy. We made it work for Python   + +00:49:59.120 --> 00:50:11.200 +2 and then I think Python 3.1 I think or 3.2,  +we also made it work there but saw no adoption. + +00:50:11.200 --> 00:50:17.600 +We knew it was going to take a long time.  +Uh we knew it was going to be painful but   + +00:50:17.600 --> 00:50:22.640 +there is light at the end of the tunnel. The  +community contributed stuff like lib2to3 and   + +00:50:22.640 --> 00:50:29.360 +other migration tools came out. Benjamin Peterson  +wrote Six that really helped that transition. The   + +00:50:29.360 --> 00:50:34.960 +language itself became a little more backwards  +compatible. I eventually advocated to bring   + +00:50:34.960 --> 00:50:39.360 +back the 'u' prefix on the strings and that  +actually made it easier to write unified code   + +00:50:39.360 --> 00:50:43.120 +bases that target both Python 2 and Python  +3. There was a point in time where we made   + +00:50:43.120 --> 00:50:53.360 +a very strong declaration, there will never  +be a Python 2.8 and Python 3 is the future. + +00:50:53.360 --> 00:51:00.640 +Python 3 just is a better language and it  +is getting better over time. Python 2 on   + +00:51:00.640 --> 00:51:06.960 +the other hand is a fine language and it will  +remain exactly what it is. For a long time,   + +00:51:06.960 --> 00:51:11.360 +there was a lot of measurement of how much  +Python 2 usage is there, how much Python 3   + +00:51:11.360 --> 00:51:16.080 +usage is there. I think it was when Python was in  +Portland, was roughly when we started to see like   + +00:51:16.080 --> 00:51:22.720 +50/50. Once 3.4 came out, it actually added some  +features that were interesting to people like, oh,   + +00:51:22.720 --> 00:51:30.320 +I want that capability. So, to me, Python 3.4 was  +really Python 3.0. And then 3.5 was an even bigger   + +00:51:30.320 --> 00:51:36.560 +milestone. That was the one that got widespread  +adoption of Python 3. And by the time Python 3.5   + +00:51:36.560 --> 00:51:40.880 +came out, then it was clear that Python 3 would  +work. And then you started to have companies come   + +00:51:40.880 --> 00:51:48.640 +out and give talks like Instagram's talk, which  +I believe is also at Portland, was a big deal. + +00:51:48.640 --> 00:51:54.960 +Yes, you heard it right. Instagram has been  +running fully on Python 3 for a few months.   + +00:51:54.960 --> 00:52:00.000 +The whole process took I would say about 9 to  +10 months. And I think Instagram was the largest   + +00:52:00.000 --> 00:52:06.960 +production deployment for Python at the time. She  +gave a very good, very thorough talk explaining   + +00:52:06.960 --> 00:52:12.080 +why they did it. Two main things: typing and  +asyncio. How they did it. We cleaned out all   + +00:52:12.080 --> 00:52:17.200 +the libraries that are not making the migration  +from Python 2 to 3. How you should do it. Unit   + +00:52:17.200 --> 00:52:22.880 +test. What they had learned during the process. We  +had actually some good performance gains as well,   + +00:52:22.880 --> 00:52:30.560 +after our migration. It felt as vindication  +that at least there were large companies that   + +00:52:30.560 --> 00:52:36.560 +took the time to do it right and to convert all  +their code to Python 3 and were able to do it   + +00:52:36.560 --> 00:52:41.840 +successfully. It was definitely well received.  +We got a lot of people saying: we really wanted   + +00:52:41.840 --> 00:52:47.920 +to migrate as well, but we weren't getting the  +kind of support that my team or my company was   + +00:52:47.920 --> 00:52:52.800 +giving us. And now I can bring this back to  +my management. And that really gave people   + +00:52:52.800 --> 00:52:59.760 +the confidence in migrating to Python 3. It became  +like a look, Instagram can do it. Why don't you   + +00:52:59.760 --> 00:53:12.000 +do it? Instagram's getting benefits, new features,  +faster code. Why don't you also want that benefit? + +00:53:12.000 --> 00:53:18.160 +[Music] + +00:53:18.160 --> 00:53:23.920 +Projects undergo things like this. And Python  +learned a lot from it and it did actually   + +00:53:23.920 --> 00:53:29.200 +eventually end up with Python 3 being in a pretty  +good spot again that it was safe to use. And safe   + +00:53:29.200 --> 00:53:34.400 +to use sounds weird but like where I felt like I  +can actually start new projects on Python 3 now   + +00:53:34.400 --> 00:53:40.000 +because we're back to a stable situation where  +you're about as productive as I felt like I was   + +00:53:40.000 --> 00:53:44.480 +with Python 2. Hi, Anna, nice to meet you. I  +really liked your talk. But it was basically   + +00:53:44.480 --> 00:53:50.800 +time that healed it. When Python 2.7 was declared  +that there wouldn't be any more security fixes,   + +00:53:50.800 --> 00:53:56.400 +it became a security concern. That was sort  +of the final push. People who donated their   + +00:53:56.400 --> 00:54:01.760 +work to do this migration in the wider Python  +world and community eventually got the world   + +00:54:01.760 --> 00:54:06.240 +running on Python 3, but as I said like it  +was a decade long process. And I don't think   + +00:54:06.240 --> 00:54:11.440 +anybody anticipated how much work it would be  +to move to Python 3. I think Python's probably   + +00:54:11.440 --> 00:54:19.120 +too big to ever go through a transition like that  +today. The community was maybe a little too big,   + +00:54:19.120 --> 00:54:24.880 +but not too big. I even still get angry  +messages sometimes from people who are like,   + +00:54:24.880 --> 00:54:31.840 +"My code needs Python 2.7. You need to  +provide it." And I tell them, "No." I   + +00:54:31.840 --> 00:54:37.840 +never wavered in my commitment to Python 3. It  +was a lesson learned for sure. For a long time,   + +00:54:37.840 --> 00:54:43.920 +I regularly joked there would be a Python 4, but  +the transition would be handled much better than   + +00:54:43.920 --> 00:54:50.640 +the transition to Python 3. I felt I owed that  +to the community. And now, the mantra has changed   + +00:54:50.640 --> 00:54:56.240 +to there will never be even a Python 4. To be  +honest, I don't know how many people in Python   + +00:54:56.240 --> 00:55:04.240 +even know about the whole transition because  +that all ended in 2020. At least it's behind us. + +00:55:17.000 --> 00:55:18.000 +[Music] + +00:55:18.000 --> 00:55:28.240 +Okay, so now we get in the closet. So there's  +the frisbee. This is the most unique merch I've   + +00:55:28.240 --> 00:55:35.600 +ever seen related to Python. Now, here's  +a significant t-shirt. It says, "Python is   + +00:55:35.600 --> 00:55:45.600 +for girls." I received this anonymously  +in the mail at Google. And to this day,   + +00:55:45.600 --> 00:55:50.720 +I don't know exactly what the intention of the  +sender was. They never revealed themselves,   + +00:55:50.720 --> 00:55:55.760 +at least not to me. And I don't know if  +there was an intention even.. But I sort   + +00:55:55.760 --> 00:56:04.560 +of realized at that point that there wasn't a  +whole lot of women in the the Python community   + +00:56:04.560 --> 00:56:14.400 +and the community also discovered that  +and fixed it for the Python conference. + +00:56:14.400 --> 00:56:20.000 +This idea of being a place where people from  +a wide range of backgrounds can learn how to   + +00:56:20.000 --> 00:56:26.240 +program, benefit from programming, find community.  +There really was some snowballing adoption of   + +00:56:26.240 --> 00:56:34.560 +these ideas across languages at the time. Jessica  +McKellar looks at the speakers at PyCon and says,   + +00:56:34.560 --> 00:56:40.320 +"There's only 3% that are women. What can we  +do about this?" She was co-organizer of the   + +00:56:40.320 --> 00:56:45.200 +biggest Python meetup in the world in Boston.  +She knew what she was talking about. It's not   + +00:56:45.200 --> 00:56:49.840 +rocket science. It's like, ask people if they're  +interested in speaking and we just.. providing   + +00:56:49.840 --> 00:57:01.520 +like a little bit of support drove a huge shift in  +the volume and demographics of the talks that were   + +00:57:01.520 --> 00:57:08.240 +submitted. And then 3 years later, like 35% of  +the speakers are women. I forget what the number   + +00:57:08.240 --> 00:57:15.120 +was but I think it was almost even with male  +speakers. PyCon... I had an old tweet about this,   + +00:57:15.120 --> 00:57:19.920 +so I just pulled this up. Says, "Hello from your  +PyCon Diversity Chair." So, the percentage of   + +00:57:19.920 --> 00:57:31.760 +PyCon talks by women: 2011 was 1%, 2012, it was  +7%, 2013, 15%, 2014 and 2015, 33%. And in 2016,   + +00:57:31.760 --> 00:57:38.560 +40%. Problems have solutions. That was a very  +inspiring story to me also. Something that was   + +00:57:38.560 --> 00:57:45.280 +less inspiring to me was that at the language  +summit there wasn't a single woman in the room,   + +00:57:45.280 --> 00:57:54.560 +and I don't believe we have a single female  +committer to core Python. There wasn't ever   + +00:57:54.560 --> 00:57:59.760 +ill intent but unfortunately we fell into  +the trap of not doing enough diversity   + +00:57:59.760 --> 00:58:04.160 +reach out to try to get more people to  +come in. To be honest it was a lot of   + +00:58:04.160 --> 00:58:12.480 +white men. So Guido wanted to change that.  +I want at least two female core Python devs   + +00:58:12.480 --> 00:58:18.240 +in the next year and I will try to train  +them myself if that's what it takes. So   + +00:58:18.240 --> 00:58:30.440 +come talk to me. I believe one of the first  +people who took up that call was Mariatta. + +00:58:30.440 --> 00:58:41.040 +[Music] Even though I've always been  +passionate about technology and programming,   + +00:58:41.040 --> 00:58:49.840 +I also felt it wasn't a welcoming environment for  +women. My schoolmates who took computer science   + +00:58:49.840 --> 00:58:56.720 +are mostly men. Most of the professors were men  +and at work most of my co-workers were men and I   + +00:58:56.720 --> 00:59:04.720 +just didn't really have examples or role models  +of women being successful in the tech industry. + +00:59:06.960 --> 00:59:12.560 +One of my co-workers went to PyCon. He  +saw that at that conference there is   + +00:59:12.560 --> 00:59:32.960 +this community called PyLadies and  +I felt like.. I want to meet them. + +00:59:32.960 --> 00:59:33.120 +[Music] + +00:59:33.120 --> 00:59:40.080 +So in 2015, that's when I decided I  +want to go to PyCon. At this conference,   + +00:59:40.080 --> 00:59:48.240 +I got to see a lot of women speaking and  +presenting. At my previous tech conference,   + +00:59:48.240 --> 00:59:55.680 +all speakers were men, all the keynote speakers  +were men. So this was really different. + +00:59:55.680 --> 01:00:00.320 +One of the keynote speakers at that same  +conference was Guido van Rossum. Hello   + +01:00:00.320 --> 01:00:06.640 +everybody. Glad to see you all. I want to meet  +and see the creator of the Python programming   + +01:00:06.640 --> 01:00:10.880 +language. "And I will try to train them  +myself if that's what it takes". I heard   + +01:00:10.880 --> 01:00:16.880 +this speech. However, at that time, I  +just didn't think that it's something   + +01:00:16.880 --> 01:00:22.240 +I could do. I wasn't even contributing to  +the Python community. I didn't contribute   + +01:00:22.240 --> 01:00:30.320 +to open source at all. I just thought  +I'm sure they will find women next year. + +01:00:35.200 --> 01:00:41.920 +The year after I went back to PyCon US and Guido  +van Rossum gave another keynote. We still don't   + +01:00:41.920 --> 01:00:47.440 +have two female core developers. I think at  +that time that's something really clicked in me,   + +01:00:47.440 --> 01:00:52.640 +like I realized that there's something  +within me that says: if nobody's doing it,   + +01:00:52.640 --> 01:00:59.680 +I will do it. I wrote to Guido van  +Rossum and I asked him for help.   + +01:01:00.320 --> 01:01:07.920 +Somehow I felt really scared. I just didn't  +feel like I deserved mentorship from Guido   + +01:01:07.920 --> 01:01:15.440 +van Rossum. So I really hesitated to send this  +email to him. But in the end, I realized that I   + +01:01:15.440 --> 01:01:27.280 +want to try. Like I felt like this was a great  +opportunity for me. I pressed the send button. + +01:01:27.280 --> 01:01:33.840 +I got a reply. He was very friendly. He started  +sharing resources about, you know, how to get   + +01:01:33.840 --> 01:01:40.320 +started contributing to Python. He offered to  +do video chats. It's been really helpful to have   + +01:01:40.320 --> 01:01:47.200 +his moral support. We had a pretty sort of deep  +mentorship relationship for a few years. Mariatta   + +01:01:47.200 --> 01:01:52.480 +learned the process from Guido and continued to  +contribute more and more very much around tooling,   + +01:01:52.480 --> 01:01:57.840 +like she really found her niche in terms of trying  +to help make our development process easier.   + +01:01:58.480 --> 01:02:05.840 +It was scary at first, like I just didn't feel  +comfortable sharing my questions in public. I   + +01:02:05.840 --> 01:02:11.280 +didn't want people to know that I don't  +know how to do certain things, you know,   + +01:02:11.280 --> 01:02:18.880 +like I didn't want people to see that I'm actually  +not that good. But this is how it it works in open   + +01:02:18.880 --> 01:02:27.920 +source. And the community has always been kind  +and helped me with my questions without saying   + +01:02:27.920 --> 01:02:41.200 +that you're stupid. Like I never felt like I was  +being judged. I think it does start with Guido.   + +01:02:41.200 --> 01:02:48.160 +The fact that Guido was very active in bringing  +more voices into Python absolutely made Python   + +01:02:48.160 --> 01:02:53.920 +better and stronger. Just the way the whole  +community works and what we stand for,   + +01:02:53.920 --> 01:03:06.000 +thanks to Guido's leadership, is where I want to  +be. And I think that's true for a lot of people. + +01:03:10.640 --> 01:03:15.600 +About six, seven months after I  +started reaching out to Guido,   + +01:03:15.600 --> 01:03:21.920 +I was recommended to become a Python  +core developer. It really wasn't until   + +01:03:21.920 --> 01:03:31.840 +4 months ago that for the first  +time ever. There's a woman... + +01:03:31.840 --> 01:03:38.640 +There's a woman who became a Python core developer  +and earned that commit privilege. The first woman   + +01:03:38.640 --> 01:03:43.920 +ever to join our team and has continued to be  +there and participate and try to help us and   + +01:03:43.920 --> 01:03:52.320 +always a very good advocate to try to improve  +our diversity. Now that I've seen the camera,   + +01:03:52.320 --> 01:03:59.840 +I can't do it. My life really changed after  +that. A lot of opportunities opened up just   + +01:03:59.840 --> 01:04:10.320 +because I'm a Python core developer. Hi, how are  +you? [Music] Mariatta went on to give her own set   + +01:04:10.320 --> 01:04:19.760 +of talks about how important mentorship is. When  +you don't have role models who you can relate to,   + +01:04:19.760 --> 01:04:28.720 +you start believing that you cannot do it. Thank  +you. Hi everybody. Uh my name is Mariatta. I'm   + +01:04:28.720 --> 01:04:37.200 +a PyLady. I run PyLadies Vancouver. I also  +help with the PyLadies con. 10 years ago,   + +01:04:37.200 --> 01:04:41.840 +I was also in this room for the  +Pyladies luncheon at PyCon US 2015.   + +01:04:41.840 --> 01:04:49.120 +It was a life-changing event for me. It was at  +that event that I felt for the first time in   + +01:04:49.120 --> 01:04:58.880 +my life as a developer, I felt like I belong in  +tech because I see 100 women in the room with me.   + +01:04:58.880 --> 01:05:09.040 +I just want other women to have role models.  +I hope I can help inspire them and help them.   + +01:05:09.040 --> 01:05:15.360 +These opportunities belong to you, too. You're  +all the reason I do this because I know there's   + +01:05:15.360 --> 01:05:23.600 +still a lot to do and I know together we can  +help each other and support each other. Okay,   + +01:05:23.600 --> 01:05:33.760 +I think that's it. Thank you so much everybody.  +[Applause] I have been so consistently impressed   + +01:05:33.760 --> 01:05:41.760 +by the Python community's ability to have  +respectful and and real reflection and   + +01:05:41.760 --> 01:05:51.440 +dialogue about how to steward itself and how to  +move it forward in a way that I find so inspiring   + +01:05:51.440 --> 01:05:56.480 +and a vision of what is possible in other  +communities. And I mean that really sincerely. + +01:06:06.720 --> 01:06:13.680 +There were an ever growing number of sort of  +scientific disciplines where all the code was   + +01:06:13.680 --> 01:06:21.280 +written in Python or a lot of it was prototyped  +in Python at least. And then the next step was   + +01:06:21.280 --> 01:06:28.480 +machine learning packages which started with  +TensorFlow and was later followed by PyTorch.   + +01:06:28.480 --> 01:06:35.120 +For a long time, Python was seen sort of as  +a scripting language that you would just do   + +01:06:35.120 --> 01:06:41.280 +small things that you need to automate and not  +production ready code and so it wasn't given a   + +01:06:41.280 --> 01:06:48.400 +ton of attention. And then now AI/ML has sort of  +changed things where it is now a business driver.   + +01:06:48.400 --> 01:06:57.440 +It appeals to people who are not professional  +programmers but need software to do a task.   + +01:06:57.440 --> 01:07:03.600 +There are some other languages like Rm you can do  +some interesting stuff in but Python is really it   + +01:07:03.600 --> 01:07:09.920 +for a AI/ML these days. Python has probably  +like centuries of engineering time that has   + +01:07:09.920 --> 01:07:15.040 +gone into code in the ecosystem specifically  +on those topics. So if you're using Python,   + +01:07:15.040 --> 01:07:22.160 +you're able to instantly tap into those libraries.  +Meta has PyTorch, which has a amazing Python API   + +01:07:22.160 --> 01:07:28.560 +and front-end people can interact with. There's  +also SciPy, NumPy, Numba, Pandas. There's a   + +01:07:28.560 --> 01:07:35.200 +whole suite of really extensive tools. Trying to  +build a language and a language ecosystem that   + +01:07:35.200 --> 01:07:39.840 +is amendable to all of that is non-trivial.  +That actually took real design, real thought,   + +01:07:39.840 --> 01:07:46.240 +and real ecosystem collective innovation over the  +course of decades. The back-end of those tools are   + +01:07:46.240 --> 01:07:54.800 +usually C or Fortran or some other native language  +that's much faster, but would be difficult for   + +01:07:54.800 --> 01:08:03.760 +someone with an AI background to program in. And  +it continues to be used for all that by all the   + +01:08:03.760 --> 01:08:07.920 +AI scientists, developing the models, and  +the people training the models, people   + +01:08:07.920 --> 01:08:17.320 +using the models. And that brings yet another  +increment of of growth to the Python community. + +01:08:17.320 --> 01:08:24.400 +[Music] Python's a fantastic language  +even if you're not a scientist. I just   + +01:08:24.400 --> 01:08:29.600 +don't think it would have risen to the level  +of dramatic usage without the science first   + +01:08:29.600 --> 01:08:33.760 +data science and machine learning story. We  +had a massive impact in the world. You know,   + +01:08:33.760 --> 01:08:39.120 +I think one testament to the future of Python  +is, if you prompt any of the LLMs to do code   + +01:08:39.120 --> 01:08:44.640 +generation today. If it's front-end, it's going  +to be JavaScript. If it's back-end data analysis,   + +01:08:44.640 --> 01:08:49.440 +it's going to be Python. That's  +the future. And Python is a part   + +01:08:49.440 --> 01:08:58.560 +of that future. Lucky me that I that I chose  +that language and not not a different one. + +01:08:58.560 --> 01:09:05.680 +Hey, Jacob. Oh, hello, morning. Hope you don't  +mind being filmed. Yeah. Ah, okay. Ida's following   + +01:09:05.680 --> 01:09:11.840 +me. All right. Yeah, she's shooting some b-roll  +for the documentary, I think. Ah, nice. I first   + +01:09:11.840 --> 01:09:21.760 +used Python in 1997 or something like that.  +Wow, that's really early days. So, it's got   + +01:09:21.760 --> 01:09:26.960 +30 frames of animation. Oh, wow. I told everyone  +that he would hate getting the DSA, but they did   + +01:09:26.960 --> 01:09:32.480 +it anyway. Yeah. Sorry, the DSA? Distinguished  +Service Award. I labeled him in the annual report   + +01:09:32.480 --> 01:09:37.920 +as like a leader in the Python community once and  +he made me take it out. Yeah, we can see that. But   + +01:09:37.920 --> 01:09:43.920 +nevertheless, he was on the steering council for  +five years. Uhhuh. And he was a leader. I got a   + +01:09:43.920 --> 01:09:49.520 +job from a Python conference back in 2017. I grew  +up in India. I moved to Germany, changed my life.   + +01:09:49.520 --> 01:09:54.560 +So I think Python changed a lot of things for me  +and I just wanted to say thanks to you for for   + +01:09:54.560 --> 01:10:00.560 +making this language. That's very sweet. Yeah. Do  +you mind if I uh take a picture with you or that   + +01:10:00.560 --> 01:10:06.640 +you don't like it? I'm so sorry. I really don't  +like it and especially not in busy places. Okay,   + +01:10:06.640 --> 01:10:13.200 +no problem. I get it. Okay. Find me in a dark  +alley and I'll do it. Okay. Okay. I get it.   + +01:10:14.480 --> 01:10:20.800 +Ah, I always kind of looked at myself as the  +bass player of Python, which is great. You know,   + +01:10:20.800 --> 01:10:26.320 +you can do a lot, you can have fun, and the  +spotlight's not on you. And I love that. I can't   + +01:10:26.320 --> 01:10:32.560 +imagine having that kind of spotlight on you,  +you know, for so many years. I heard a story from   + +01:10:32.560 --> 01:10:38.480 +an Apple VP of engineering, that Steve Jobs had  +turned down their hire of Guido because he said,   + +01:10:38.480 --> 01:10:48.960 +he has his own following and we don't  +want to have that kind of distraction. + +01:10:48.960 --> 01:10:54.320 +Python has always been a language that changed.  +We've never been one of those languages that says   + +01:10:54.320 --> 01:10:59.840 +if you write code against this version of Python,  +it will run forever with any new version of the   + +01:10:59.840 --> 01:11:08.800 +language. We just simply have never been those  +people. A PEP is an acronym for Python Enhancement   + +01:11:08.800 --> 01:11:14.480 +Proposal. That's a document that's written  +by someone who wants to make a significant   + +01:11:14.480 --> 01:11:19.440 +change to Python. Basically, you're trying to  +convince people that this is a good idea. It   + +01:11:19.440 --> 01:11:24.960 +would be sent for discussion for a mailing  +list and then eventually Guido as the BDFL,   + +01:11:24.960 --> 01:11:31.760 +the Benevolent Dictator for Life, would decide  +whether your change was going in or not. But   + +01:11:31.760 --> 01:11:40.640 +people always have worried that the next change  +is going to be the one that changes the feel of   + +01:11:40.640 --> 01:11:47.360 +the language. It won't fit my brain anymore or it  +won't be accessible anymore. I've actually seen   + +01:11:47.360 --> 01:11:52.640 +people storm out of rooms saying, "You're ruining  +this language." Some people take it very, very   + +01:11:52.640 --> 01:12:00.640 +personally and seriously. And the Walrus operator  +was no different. Yeah so, PEP 572, I don't know   + +01:12:00.640 --> 01:12:04.560 +who coined the term the Walrus Operator, but  +if you kind of turn your head, it looks like   + +01:12:04.560 --> 01:12:13.360 +a little walrus. It was a new feature that was  +proposed, but it was also a syntax change. The   + +01:12:13.360 --> 01:12:19.520 +Walrus operator lets you do assignments, meaning  +put values into variables in places that you   + +01:12:19.520 --> 01:12:26.000 +previously could not. That was probably the most  +contentious language change, oddly enough, because   + +01:12:26.000 --> 01:12:31.120 +it's kind of a minor thing, but it it there was so  +much passionate feeling about whether that should   + +01:12:31.120 --> 01:12:37.760 +be added or not that it created kind of a bit of a  +of a ruckus. When I first saw the Walrus Operator,   + +01:12:37.760 --> 01:12:43.040 +I didn't like it. It kind of felt a little  +un-Pythonic to me, but then I started to play   + +01:12:43.040 --> 01:12:47.840 +with it. There was a particular use case that  +I came up with in my own code that I was like,   + +01:12:47.840 --> 01:12:53.200 +"Oh, you know what? This is actually pretty  +cool". And so then I was like, well, I it's   + +01:12:53.200 --> 01:12:58.480 +something that I won't use very often, but when I  +need it, it's really great to have. And I turned,   + +01:12:58.480 --> 01:13:06.640 +you know, 180° and became a fan of it. But it was  +very disruptive. [Music] Language features and   + +01:13:06.640 --> 01:13:13.200 +especially syntax can be a double-edged sword. So  +one person's succinct, elegant code can be another   + +01:13:13.200 --> 01:13:21.600 +person's unreadable puzzle or a fusticated mess.  +There were very strongly voiced predictions about   + +01:13:21.600 --> 01:13:27.200 +how bad it would be for Python. And then just  +because Python was so much more popular at the   + +01:13:27.200 --> 01:13:31.840 +time, there are so many places where people talk  +about Python. I mean Twitter, you know, at the   + +01:13:31.840 --> 01:13:37.680 +time. This is all happening in public, right? And  +everyone can kind of with low effort throw their   + +01:13:37.680 --> 01:13:44.080 +hat into the ring and not everyone is going  +to restrain themselves when they're doing it. + +01:13:45.760 --> 01:13:50.560 +I started being more and more convinced  +that PEP 572 was actually the right thing   + +01:13:50.560 --> 01:14:04.160 +to do. I was the BDFL and I accepted  +the PEP. And the next morning I woke up + +01:14:04.160 --> 01:14:09.360 +and I felt miserable + +01:14:09.360 --> 01:14:12.640 +because of all the attacks  +that had happened before.   + +01:14:14.080 --> 01:14:23.680 +I sat down at my computer, wrote a short email,  +and hit send wherein I announced that I resigned   + +01:14:23.680 --> 01:14:33.040 +at BDFL. And that had an incredible impact  +because nobody had expected I would resign   + +01:14:33.040 --> 01:14:40.560 +and certainly not that I would rage quit  +over this issue, which essentially it was. + +01:14:55.720 --> 01:14:56.720 +[Music]   + +01:14:56.720 --> 01:15:02.240 +Transfer of power. Now that PEP 572  +is done, I don't ever want to have to   + +01:15:02.240 --> 01:15:07.760 +fight so hard for a PEP and find that  +so many people despise my decisions.   + +01:15:07.760 --> 01:15:12.880 +I would like to remove myself entirely from  +the decision process. I'm basically giving   + +01:15:12.880 --> 01:15:19.280 +myself a permanent vacation from being BDFL  +and you all will be on your own. I am not   + +01:15:19.280 --> 01:15:25.600 +going to appoint a successor. So what are you  +all going to do? Create a democracy, anarchy,   + +01:15:25.600 --> 01:15:31.200 +a dictatorship, a federation? I'll still be  +here, but I'm trying to let you all figure   + +01:15:31.200 --> 01:15:40.560 +something out for yourselves. I'm tired  +and I need a very long break. That was it. + +01:15:40.560 --> 01:15:47.520 +Haven't read that.. That was I thought that  +was pretty well written. I like to say he mic   + +01:15:47.520 --> 01:15:51.840 +dropped his way out. You know, he just was like,  +I'm out. I'm done. You guys figure it out. So,   + +01:15:51.840 --> 01:15:58.880 +it was a complete and total shock to me.  +Yeah. I just felt really sad about it. I   + +01:15:58.880 --> 01:16:06.560 +wish he would have retired under better  +circumstances. I felt I needed to take a   + +01:16:06.560 --> 01:16:13.920 +step back to sort of recover myself. I think a  +lot of people really felt for Guido, you know,   + +01:16:13.920 --> 01:16:26.480 +that he could be pushed to that point like  +maybe we let him down to allow the vitriol   + +01:16:26.480 --> 01:16:33.360 +over this change to Python to push, you know,  +somebody that we cared about to that point. + +01:16:35.600 --> 01:16:41.840 +We all perceived that it was like a a momentous  +occasion or like a significant change that   + +01:16:41.840 --> 01:16:46.560 +you would put a mark in your timeline in the  +history book in the history of Python, right?   + +01:16:46.560 --> 01:16:52.720 +Because it had been run on the BDFL model for its  +entire existence. So there was a little bit of   + +01:16:52.720 --> 01:16:57.760 +uncertainty like, can this work at all without  +got Guido? It's kind of a parent saying, it's   + +01:16:57.760 --> 01:17:02.560 +time for you to grow up and figure it out on your  +own. I'm not going to solve this problem for you. + +01:17:05.280 --> 01:17:11.040 +The first order of business was deciding on  +how to decide. And it turns out some people   + +01:17:11.040 --> 01:17:15.520 +have very strong opinions on voting systems.  +Programmers love arguing about voting methods.   + +01:17:15.520 --> 01:17:22.400 +I remember thinking this isn't going to work. Lot  +of strong voices. It's really difficult when you   + +01:17:22.400 --> 01:17:28.880 +have hundreds of core developers and thousands  +of people online and millions of people in the   + +01:17:28.880 --> 01:17:35.920 +community and probably billions of dollars of  +software that run on Python. You can't think   + +01:17:35.920 --> 01:17:42.320 +about that cuz it definitely gets overwhelming.  +I will fully admit it was stressful. I had to go   + +01:17:42.320 --> 01:17:46.720 +to an ear, nose, and throat specialist because I  +actually was starting to choke on my own throat   + +01:17:46.720 --> 01:17:52.560 +from the stress. It was not fun because if we  +couldn't decide on how we were going to decide,   + +01:17:52.560 --> 01:17:59.120 +the project was done. We really approached it  +like the nerdy engineers we are. In Python classic   + +01:17:59.120 --> 01:18:03.600 +fashion, we wrote a bunch of peps. We didn't want  +to rush it because we knew we were going to have   + +01:18:03.600 --> 01:18:10.480 +to live with this potentially forever. But we also  +realized the world was watching and did not like   + +01:18:10.480 --> 01:18:14.160 +the idea of not knowing whether this language was  +going to be around in a year or not, because we   + +01:18:14.160 --> 01:18:20.000 +couldn't stop bickering among ourselves about how  +to run ourselves. People sponsored different kinds   + +01:18:20.000 --> 01:18:23.600 +of models. I think there was one which was like,  +let's pick another BDFL because that's what we   + +01:18:23.600 --> 01:18:28.800 +feel comfortable with. And then there was various  +kinds of committees and councils and we ended up   + +01:18:28.800 --> 01:18:34.480 +settling on the five person steering committee.  +Good morning PyCon! Thanks so much for joining   + +01:18:34.480 --> 01:18:40.560 +us. So, welcome to our panel with the Python  +steering council. Because there's five people,   + +01:18:40.560 --> 01:18:45.680 +you don't have the same problem of like all  +the stress and responsibility of making these   + +01:18:45.680 --> 01:18:51.520 +decisions falling on one person. I actually  +felt that it made sense for me to be on that   + +01:18:51.520 --> 01:18:56.880 +first steering council given that there was  +no longer feeling so burned out or attacked,   + +01:18:56.880 --> 01:19:02.160 +to provide some amount of continuity. "You know  +how this goes when your kid goes off to college.   + +01:19:02.160 --> 01:19:07.840 +Some of you may have experience with that. you're  +no longer directly involved in their lives maybe,   + +01:19:07.840 --> 01:19:14.960 +but you never stop worrying. And that's how  +I feel about Python at the moment. And that's   + +01:19:14.960 --> 01:19:24.880 +why I [Applause] why I nominated myself  +for the steering committee and here I am".   + +01:19:25.920 --> 01:19:31.520 +There were elections for the second year steering  +council and at first I nominated myself and then   + +01:19:31.520 --> 01:19:37.440 +withdrew because there were enough other strong  +candidates. They didn't need me and I was happy to   + +01:19:37.440 --> 01:19:56.080 +uh to sort of let go of it. [Music] The legitimacy  +that came from the replacement springing up from   + +01:19:56.080 --> 01:20:06.080 +the community is essential to it being accepted.  +It came from us, so it's accepted by us. It works.   + +01:20:06.080 --> 01:20:11.600 +I think it works for us now. There may be a time  +in the future where it doesn't work or pieces of   + +01:20:11.600 --> 01:20:17.840 +it don't work. You have to be willing to evolve.  +Change is the one universal constant of the   + +01:20:17.840 --> 01:20:31.480 +universe. And so things will always change and you  +have to be ready and willing to adapt to change. + +01:20:31.480 --> 01:20:38.560 +[Music] + +01:20:38.560 --> 01:20:43.760 +It started out as a hobby project. Definitely.  +I think I probably wanted to prove something   + +01:20:43.760 --> 01:20:50.960 +to myself more than anything. It exceeded my  +wildest expectations and it actually continues   + +01:20:50.960 --> 01:21:00.560 +to do so. I constantly hear from people whose  +lives were completely changed by Python and it   + +01:21:00.560 --> 01:21:08.960 +has created this incredible community which was  +also a complete sort of bonus over everything   + +01:21:08.960 --> 01:21:16.880 +else I had anticipated. This community that  +has like a massive conference every year and   + +01:21:16.880 --> 01:21:26.160 +smaller conferences in every continent I think  +except Antarctica. There was one of the Python   + +01:21:26.160 --> 01:21:32.480 +conferences where there was a few thousand people  +in the audience. I remember just looking around   + +01:21:32.480 --> 01:21:40.960 +and going, this is mind-blowing. That's the  +point at which I knew we had achieved something   + +01:21:40.960 --> 01:21:50.320 +important, something that made a difference in  +people's lives and in the world. Python turned out   + +01:21:50.320 --> 01:21:57.360 +to be much more successful than perhaps any of us  +thought except maybe Guido and his team. I think   + +01:21:57.360 --> 01:22:02.160 +they always believed that this was the future.  +And of course, it's now one of the most popular,   + +01:22:02.160 --> 01:22:06.800 +if not the most popular programming language  +in the world. He spent two weeks in Christmas,   + +01:22:06.800 --> 01:22:10.880 +in like 1989, writing a programming language  +because he thought it would be fun. Like who   + +01:22:10.880 --> 01:22:16.640 +would have imagined that that would be such a life  +altering and also world altering thing to have   + +01:22:16.640 --> 01:22:23.520 +done. I think it's been great for the world. I  +think it's made people feel like they can get into   + +01:22:23.520 --> 01:22:28.320 +programming when they never thought they could.  +I think it made programming accessible to people.   + +01:22:28.320 --> 01:22:36.640 +It's literally part of kindergarten through grade  +12 education around the world. And is on Mars   + +01:22:36.640 --> 01:22:41.760 +thanks to being used as a scripting language to  +process the parachute of the Perseverance rover   + +01:22:41.760 --> 01:22:45.440 +landing. Like it's hard to think of anything  +that hasn't been touched by some Python code   + +01:22:45.440 --> 01:22:52.000 +somewhere. It's mind boggling. It's an important  +language. It's a popular language. It's a vibrant   + +01:22:52.000 --> 01:22:58.400 +and relevant language today as much as it was in  +the past and I believe as much as it will be in   + +01:22:58.400 --> 01:23:03.520 +the future. Programmers 30 years from now will  +be like, "Oh yeah, you know, I I'm still using   + +01:23:03.520 --> 01:23:09.760 +Python." Just like today, people are still using  +Fortran and C and C++ and those are old languages   + +01:23:09.760 --> 01:23:35.080 +you know too in the scheme of things. Scheme  +- Lisp another old language. So yeah. [Music] + +01:23:35.080 --> 01:23:40.400 +[Music] + +01:23:40.400 --> 01:23:43.680 +Now I keep thinking of like weird  +jokes. There's this library in   + +01:23:43.680 --> 01:23:49.920 +Python called Pickles because pickle is a  +funny word I guess. 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++++++++++++++++++------------------- 1 file changed, 73 insertions(+), 73 deletions(-) diff --git a/testdata/Confuse-A-Cat.vtt b/testdata/Confuse-A-Cat.vtt index fb8b725..5c2f961 100644 --- a/testdata/Confuse-A-Cat.vtt +++ b/testdata/Confuse-A-Cat.vtt @@ -3,202 +3,202 @@ Kind: captions Language: en 00:00:00.000 --> 00:00:00.500 - + 00:00:00.500 --> 00:00:01.000 - + 00:00:01.000 --> 00:00:02.000 - + 00:00:07.599 --> 00:00:10.559 -Oh, good! That'll be the vet, dear. -I'd better go and let him in. +Oh, good! That'll be the vet, dear. +I'd better go and let him in. 00:00:14.740 --> 00:00:15.900 -It's the vet, dear. +It's the vet, dear. 00:00:15.900 --> 00:00:18.500 -Oh, very glad indeed you could come 'round, sir. +Oh, very glad indeed you could come 'round, sir. 00:00:19.000 --> 00:00:21.590 -Not at all. +Not at all. Now, what seems to be the problem? 00:00:21.700 --> 00:00:27.149 -You can tell me... I'm a vet, you know. -See? Tell him, dear. -Well... -It's our cat. +You can tell me... I'm a vet, you know. +See? Tell him, dear. +Well... +It's our cat. 00:00:27.150 --> 00:00:32.000 -He doesn't do anything. +He doesn't do anything. He just sits out all day on the lawn. 00:00:32.200 --> 00:00:35.280 -Is he... dead? +Is he... dead? 00:00:35.280 --> 00:00:35.950 -Oh, no! +Oh, no! 00:00:35.950 --> 00:00:39.089 -Thank God for that! +Thank God for that! For one ghastly moment, I thought I was... 00:00:39.850 --> 00:00:41.110 -...too late. +...too late. 00:00:41.110 --> 00:00:44.040 -If only more people would call in the nick of time! +If only more people would call in the nick of time! 00:00:44.110 --> 00:00:49.829 -He just sits there, all day and every day. -And at night. -Shh! Almost motionless. +He just sits there, all day and every day. +And at night. +Shh! Almost motionless. 00:00:50.530 --> 00:00:53.759 -We have to take his food out to him. -And his milk. -Shh! +We have to take his food out to him. +And his milk. +Shh! 00:00:54.000 --> 00:00:56.100 -He doesn't do anything. He just sits there. +He doesn't do anything. He just sits there. 00:00:57.100 --> 00:00:58.829 -Are you at your wits' end? +Are you at your wits' end? 00:00:59.829 --> 00:01:01.809 -Definitely... Shh!... yes. +Definitely... Shh!... yes. 00:01:01.809 --> 00:01:06.419 -Hmm. I see. +Hmm. I see. Well, I think I may be able to help you. You see... 00:01:14.450 --> 00:01:18.789 -Your cat is suffering from what we vets haven't found a word for. +Your cat is suffering from what we vets haven't found a word for. 00:01:20.480 --> 00:01:23.919 -His condition is typified by total physical inertia. +His condition is typified by total physical inertia. 00:01:24.590 --> 00:01:26.900 -Absence of interest in its ambience. +Absence of interest in its ambience. 00:01:27.500 --> 00:01:31.220 -What we vets call "environment." +What we vets call "environment." 00:01:31.220 --> 00:01:33.220 -Failure to respond to the +Failure to respond to the 00:01:33.830 --> 00:01:37.539 -conventional external stimuli. +conventional external stimuli. A ball of string, a nice 00:01:38.360 --> 00:01:40.360 -juicy mouse, a bird! +juicy mouse, a bird! 00:01:40.700 --> 00:01:44.590 -To be blunt, your cat is in a rut! +To be blunt, your cat is in a rut! 00:01:45.770 --> 00:01:47.770 -It's the old... +It's the old... 00:01:47.930 --> 00:01:54.699 -...Stockbroker syndrome. -The suburban fin de siecle ennui. +...Stockbroker syndrome. +The suburban fin de siecle ennui. Angst, weltschmertz, call it what you will. 00:01:55.160 --> 00:02:00.969 -Moping. -In a way, in a way. +Moping. +In a way, in a way. Hmm, moping. I must remember that! -Now... +Now... 00:02:01.640 --> 00:02:05.500 -What's to be done? -Tell me sir, have you confused your cat recently ? -Well, we... +What's to be done? +Tell me sir, have you confused your cat recently ? +Well, we... 00:02:05.600 --> 00:02:08.199 -Shh! No. +Shh! No. 00:02:08.199 --> 00:02:11.400 -Yes, well, I think I can definitely say that your cat badly needs to be confused. +Yes, well, I think I can definitely say that your cat badly needs to be confused. 00:02:11.500 --> 00:02:12.000 -What? -Shh! +What? +Shh! 00:02:12.000 --> 00:02:14.000 -What? +What? 00:02:14.000 --> 00:02:16.800 -Confused. To shake it out of his state of complacency. +Confused. To shake it out of his state of complacency. 00:02:18.000 --> 00:02:25.540 -I'm afraid... I'm not personally qualified to confuse cats, but I can recommend an extremely good service. +I'm afraid... I'm not personally qualified to confuse cats, but I can recommend an extremely good service. Here is their card. 00:02:27.680 --> 00:02:30.400 -Oh... Confuse-A-Cat, Limited. +Oh... Confuse-A-Cat, Limited. Oh! 00:02:40.000 --> 00:02:41.049 -Squad! Eyes front! +Squad! Eyes front! 00:02:46.400 --> 00:02:51.000 -Cat confusers... Confusers... Hut! +Cat confusers... Confusers... Hut! 00:03:10.100 --> 00:03:18.140 -Well, men, we've got a pretty difficult cat to confuse today, so let's get straight on with it. +Well, men, we've got a pretty difficult cat to confuse today, so let's get straight on with it. Jolly good. Thank you, sergeant. 00:03:18.140 --> 00:03:21.349 -Confusers, get into the van and fetch out... +Confusers, get into the van and fetch out... Wait for it! 00:03:22.769 --> 00:03:25.369 -Fetch out the funny things! +Fetch out the funny things! 00:03:30.000 --> 00:03:32.000 -Move, move, move, move! +Move, move, move, move! 00:03:35.500 --> 00:03:36.500 -One, two, one, two, get those funny things off! +One, two, one, two, get those funny things off! 00:04:11.910 --> 00:04:15.000 -Stage ready for confusing, sir! +Stage ready for confusing, sir! 00:04:15.200 --> 00:04:17.200 -Very good. Carry on, sergeant. +Very good. Carry on, sergeant. 00:04:19.000 --> 00:04:23.600 -Left turn, double march! +Left turn, double march! 00:04:25.800 --> 00:04:29.500 -Right, men. Confuse the... cat! +Right, men. Confuse the... cat! 00:04:37.530 --> 00:04:42.199 -Lords, ladies and gentlemen... +Lords, ladies and gentlemen... 00:06:15.199 --> 00:06:21.788 -I hope to God it works. +I hope to God it works. Anyway, we shall know any minute now. 00:06:33.370 --> 00:06:39.720 -Oh, I can't believe it! -Neither can I. It's just like the old days. -Then he's cured! Oh, thank you, General! +Oh, I can't believe it! +Neither can I. It's just like the old days. +Then he's cured! Oh, thank you, General! 00:06:40.080 --> 00:06:42.080 -What can we ever do to repay you ? +What can we ever do to repay you ? 00:06:42.080 --> 00:06:43.590 -No need to, sir. +No need to, sir. 00:06:44.710 --> 00:06:47.460 -It's all in a day's work for... +It's all in a day's work for... 00:06:48.879 --> 00:06:50.879 -Confuse-A-Cat. +Confuse-A-Cat. From cb57ad322ff5dfcfca7d513ec39fd5b2a7f43bcd Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Wed, 1 Oct 2025 19:14:52 -0700 Subject: [PATCH 28/39] Add WebVTT ingestion. Also fix Podcast ingestion. --- test/test_transcripts.py | 293 +++++++++++++ tools/ingest_vtt.py | 418 +++++++++++++++++++ tools/utool.py | 2 +- typeagent/knowpro/convknowledge.py | 4 +- typeagent/knowpro/messageutils.py | 70 ++++ typeagent/storage/memory/semrefindex.py | 30 +- typeagent/storage/memory/timestampindex.py | 2 +- typeagent/transcripts/README.md | 161 ++++++++ typeagent/transcripts/transcript.py | 453 +++++++++++++++++++++ typeagent/transcripts/transcript_import.py | 269 ++++++++++++ 10 files changed, 1686 insertions(+), 16 deletions(-) create mode 100644 test/test_transcripts.py create mode 100644 tools/ingest_vtt.py create mode 100644 typeagent/knowpro/messageutils.py create mode 100644 typeagent/transcripts/README.md create mode 100644 typeagent/transcripts/transcript.py create mode 100644 typeagent/transcripts/transcript_import.py diff --git a/test/test_transcripts.py b/test/test_transcripts.py new file mode 100644 index 0000000..092df1e --- /dev/null +++ b/test/test_transcripts.py @@ -0,0 +1,293 @@ +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. + +import pytest +import os +import tempfile +from typing import AsyncGenerator + +from typeagent.transcripts.transcript_import import ( + import_vtt_transcript, + get_transcript_speakers, + get_transcript_duration, + extract_speaker_from_text, + webvtt_timestamp_to_seconds, +) +from typeagent.transcripts.transcript import ( + Transcript, + TranscriptMessage, + TranscriptMessageMeta, +) +from typeagent.knowpro.convsettings import ConversationSettings +from typeagent.knowpro.interfaces import Datetime +from typeagent.aitools.embeddings import AsyncEmbeddingModel + +from fixtures import needs_auth, temp_dir, embedding_model # type: ignore + + +def test_extract_speaker_from_text(): + """Test speaker extraction from various text formats.""" + test_cases = [ + ("SPEAKER: Hello world", "SPEAKER", "Hello world"), + ("[John] This is a test", "John", "This is a test"), + ("- Mary: Another test", "Mary", "Another test"), + ("Just plain text without speaker", None, "Just plain text without speaker"), + ("VETERINARIAN: How can I help you?", "VETERINARIAN", "How can I help you?"), + ( + "(Dr. Smith) Let me examine the patient", + "Dr. Smith", + "Let me examine the patient", + ), + ("", None, ""), + ("NARRATOR: Once upon a time...", "NARRATOR", "Once upon a time..."), + ] + + for input_text, expected_speaker, expected_text in test_cases: + speaker, text = extract_speaker_from_text(input_text) + assert ( + speaker == expected_speaker + ), f"Speaker mismatch for '{input_text}': got {speaker}, expected {expected_speaker}" + assert ( + text == expected_text + ), f"Text mismatch for '{input_text}': got {text}, expected {expected_text}" + + +def test_webvtt_timestamp_conversion(): + """Test conversion of WebVTT timestamps to seconds.""" + test_cases = [ + ("00:00:07.599", 7.599), + ("00:01:30.000", 90.0), + ("01:05:45.123", 3945.123), + ("10.5", 10.5), + ("01:30", 90.0), + ] + + for timestamp, expected_seconds in test_cases: + result = webvtt_timestamp_to_seconds(timestamp) + assert ( + abs(result - expected_seconds) < 0.001 + ), f"Timestamp conversion failed for {timestamp}: got {result}, expected {expected_seconds}" + + +@pytest.mark.skipif( + not os.path.exists("Confuse-A-Cat.vtt"), reason="Test VTT file not found" +) +def test_get_transcript_info(): + """Test getting basic information from a VTT file.""" + vtt_file = "Confuse-A-Cat.vtt" + + # Test duration + duration = get_transcript_duration(vtt_file) + assert duration > 0, "Duration should be positive" + assert duration < 3600, "Duration should be less than an hour for test file" + + # Test speakers (may be empty if no speaker patterns found) + speakers = get_transcript_speakers(vtt_file) + assert isinstance(speakers, set), "Speakers should be returned as a set" + + +@pytest.fixture +def conversation_settings( + needs_auth: None, embedding_model: AsyncEmbeddingModel +) -> ConversationSettings: + """Create conversation settings for testing.""" + return ConversationSettings(embedding_model) + + +@pytest.mark.skipif( + not os.path.exists("Confuse-A-Cat.vtt"), reason="Test VTT file not found" +) +@pytest.mark.asyncio +async def test_import_vtt_transcript(conversation_settings: ConversationSettings): + """Test importing a VTT file into a Transcript object.""" + vtt_file = "Confuse-A-Cat.vtt" + + with tempfile.TemporaryDirectory() as temp_dir: + db_path = os.path.join(temp_dir, "test_transcript.db") + + # Import the transcript + transcript = await import_vtt_transcript( + vtt_file_path=vtt_file, + settings=conversation_settings, + transcript_name="Test-Confuse-A-Cat", + start_date=Datetime.now(), + merge_consecutive_same_speaker=True, + dbname=db_path, + ) + + # Verify the transcript was created correctly + assert isinstance(transcript, Transcript) + assert transcript.name_tag == "Test-Confuse-A-Cat" + assert "Test-Confuse-A-Cat" in transcript.tags + assert "vtt-transcript" in transcript.tags + + # Check that messages were created + message_count = await transcript.messages.size() + assert message_count > 0, "Should have at least one message" + + # Check message structure + first_message = None + async for message in transcript.messages: + first_message = message + break + + assert first_message is not None + assert isinstance(first_message, TranscriptMessage) + assert isinstance(first_message.metadata, TranscriptMessageMeta) + assert len(first_message.text_chunks) > 0 + assert first_message.text_chunks[0].strip() != "" + + # Verify metadata has timestamp information + assert first_message.metadata.start_time is not None + assert first_message.metadata.end_time is not None + + +def test_transcript_message_creation(): + """Test creating transcript messages manually.""" + # Create a transcript message + metadata = TranscriptMessageMeta( + speaker="Test Speaker", start_time="00:00:10.000", end_time="00:00:15.000" + ) + + message = TranscriptMessage( + text_chunks=["This is a test message."], metadata=metadata, tags=["test"] + ) + + # Test serialization + serialized = message.serialize() + assert serialized["textChunks"] == ["This is a test message."] + assert serialized["metadata"]["speaker"] == "Test Speaker" + assert serialized["metadata"]["start_time"] == "00:00:10.000" + assert serialized["tags"] == ["test"] + + # Test deserialization + deserialized = TranscriptMessage.deserialize(serialized) + assert deserialized.text_chunks == ["This is a test message."] + assert deserialized.metadata.speaker == "Test Speaker" + assert deserialized.metadata.start_time == "00:00:10.000" + assert deserialized.tags == ["test"] + + +@pytest.mark.asyncio +async def test_transcript_creation(): + """Test creating an empty transcript.""" + from typeagent.aitools.embeddings import TEST_MODEL_NAME + + # Create a minimal transcript for testing structure + embedding_model = AsyncEmbeddingModel(model_name=TEST_MODEL_NAME) + settings = ConversationSettings(embedding_model) + + transcript = await Transcript.create( + settings=settings, name_tag="Test Transcript", tags=["test", "empty"] + ) + + assert transcript.name_tag == "Test Transcript" + assert "test" in transcript.tags + assert "empty" in transcript.tags + assert await transcript.messages.size() == 0 + + +@pytest.mark.asyncio +async def test_transcript_knowledge_extraction( + needs_auth: None, embedding_model: AsyncEmbeddingModel +): + """ + Test that knowledge extraction works during transcript ingestion. + + This test verifies the complete ingestion pipeline: + 1. Parses first 5 messages from Parrot Sketch VTT file + 2. Creates transcript with in-memory storage (fast) + 3. Runs build_index() with auto_extract_knowledge=True + 4. Verifies both mechanical extraction (entities/actions from metadata) + and LLM extraction (topics from content) work correctly + """ + import webvtt + from typeagent.storage.memory.collections import ( + MemoryMessageCollection, + MemorySemanticRefCollection, + ) + from typeagent.storage.memory.semrefindex import TermToSemanticRefIndex + from typeagent.transcripts.transcript_import import extract_speaker_from_text + + # Use in-memory storage for speed + settings = ConversationSettings(embedding_model) + + # Parse first 5 captions from Parrot Sketch + vtt_file = "testdata/Parrot_Sketch.vtt" + if not os.path.exists(vtt_file): + pytest.skip(f"Test file {vtt_file} not found") + + vtt = webvtt.read(vtt_file) + + # Create messages from first 5 captions + messages_list = [] + for i, caption in enumerate(vtt): + if i >= 5: + break + if not caption.text.strip(): + continue + + speaker = getattr(caption, "voice", None) + text = caption.text.strip() + + metadata = TranscriptMessageMeta( + speaker=speaker, + start_time=caption.start, + end_time=caption.end, + ) + message = TranscriptMessage(text_chunks=[text], metadata=metadata) + messages_list.append(message) + + # Create in-memory collections + msg_coll = MemoryMessageCollection[TranscriptMessage]() + await msg_coll.extend(messages_list) + + semref_coll = MemorySemanticRefCollection() + semref_index = TermToSemanticRefIndex() + + # Create transcript with in-memory storage + transcript = await Transcript.create( + settings, + name_tag="Parrot-Test", + messages=msg_coll, + semantic_refs=semref_coll, + semantic_ref_index=semref_index, + tags=["test", "parrot"], + ) + + # Verify we have messages + assert await transcript.messages.size() == len(messages_list) + assert len(messages_list) >= 3, "Need at least 3 messages for testing" + + # Enable knowledge extraction + settings.semantic_ref_index_settings.auto_extract_knowledge = True + settings.semantic_ref_index_settings.batch_size = 10 + + # Build index (this should extract knowledge) + await transcript.build_index() + + # Verify semantic refs were created + semref_count = await transcript.semantic_refs.size() + assert semref_count > 0, "Should have extracted some semantic references" + + # Verify we have different types of knowledge + knowledge_types = set() + async for semref in transcript.semantic_refs: + knowledge_types.add(semref.knowledge.knowledge_type) + + # Should have mechanical extraction (entities/actions from speakers) + assert "entity" in knowledge_types, "Should have extracted entities" + assert "action" in knowledge_types, "Should have extracted actions" + + # Should have LLM extraction (topics) + assert "topic" in knowledge_types, "Should have extracted topics from LLM" + + # Verify semantic ref index was populated + terms = await transcript.semantic_ref_index.get_terms() + assert len(terms) > 0, "Should have indexed some terms" + + print( + f"\nExtracted {semref_count} semantic refs from {len(messages_list)} messages" + ) + print(f"Knowledge types: {knowledge_types}") + print(f"Indexed terms: {len(terms)}") diff --git a/tools/ingest_vtt.py b/tools/ingest_vtt.py new file mode 100644 index 0000000..04c5264 --- /dev/null +++ b/tools/ingest_vtt.py @@ -0,0 +1,418 @@ +#!/usr/bin/env python3 +""" +VTT Transcript Ingestion Tool + +This script ingests WebVTT (.vtt) transcript files into a SQLite database +that can be queried using tools/utool.py. + +Usage: + python tools/ingest_vtt.py input.vtt --database transcript.db + pyt await ingest_vtt_file( + args.vtt_file, + args.database, + name=args.name, + start_date=args.start_date, + merge_consecutive=not args.no_merge, + use_text_speaker_detection=args.use_text_speaker_detection, + build_index=args.build_index, + verbose=args.verbose, + overwrite=args.overwrite, + )utool.py --sqlite-db transcript.db --question "What was discussed?" +""" + +import argparse +import asyncio +import os +import sys +from pathlib import Path + +import webvtt + +from typeagent.aitools import utils +from typeagent.aitools.embeddings import AsyncEmbeddingModel +from typeagent.storage.utils import create_storage_provider +from typeagent.storage.sqlite.provider import SqliteStorageProvider +from typeagent.transcripts.transcript_import import ( + extract_speaker_from_text, + get_transcript_speakers, + get_transcript_duration, +) +from typeagent.transcripts.transcript import ( + Transcript, + TranscriptMessage, + TranscriptMessageMeta, +) +from typeagent.knowpro.convsettings import ConversationSettings +from typeagent.knowpro.interfaces import Datetime + + +def create_arg_parser() -> argparse.ArgumentParser: + """Create argument parser for the VTT ingestion tool.""" + parser = argparse.ArgumentParser( + description="Ingest WebVTT transcript files into a database for querying", + formatter_class=argparse.RawDescriptionHelpFormatter, + epilog=""" +Examples: + %(prog)s input.vtt --database transcript.db + %(prog)s meeting.vtt -d meeting.db --name "Team Meeting" + %(prog)s lecture.vtt -d lecture.db --start-date "2024-10-01T09:00:00" + """, + ) + + parser.add_argument("vtt_file", help="Path to the WebVTT (.vtt) file to ingest") + + parser.add_argument( + "-d", + "--database", + required=True, + help="Path to the SQLite database file to create/use", + ) + + parser.add_argument( + "-n", + "--name", + help="Name for the transcript (defaults to filename without extension)", + ) + + parser.add_argument( + "--start-date", + help="Start date/time for the transcript (ISO format: YYYY-MM-DDTHH:MM:SS)", + ) + + parser.add_argument( + "--no-merge", + action="store_true", + help="Don't merge consecutive captions from the same speaker", + ) + + parser.add_argument( + "--use-text-speaker-detection", + action="store_true", + help="Enable text-based speaker detection (e.g., 'SPEAKER:', '[Name]'). " + "By default, only WebVTT voice tags are used for speaker detection.", + ) + + parser.add_argument( + "--build-index", + action="store_true", + help="Build search indexes after ingestion (slower but enables full search)", + ) + + parser.add_argument( + "-v", "--verbose", action="store_true", help="Show verbose output" + ) + + parser.add_argument( + "--overwrite", + action="store_true", + help="Overwrite existing database if it exists", + ) + + return parser + + +async def ingest_vtt_file( + vtt_file: str, + database: str, + name: str | None = None, + start_date: str | None = None, + merge_consecutive: bool = True, + use_text_speaker_detection: bool = False, + build_index: bool = False, + verbose: bool = False, + overwrite: bool = False, +) -> None: + """Ingest a VTT file into a database.""" + + # Validate input file + if not os.path.exists(vtt_file): + print(f"Error: VTT file '{vtt_file}' not found", file=sys.stderr) + sys.exit(1) + + # Check if database already exists + if os.path.exists(database) and not overwrite: + print( + f"Error: Database '{database}' already exists. Use --overwrite to replace it.", + file=sys.stderr, + ) + sys.exit(1) + + # Remove existing database if overwriting + if overwrite and os.path.exists(database): + os.remove(database) + if verbose: + print(f"Removed existing database: {database}") + + if verbose: + print(f"Ingesting VTT file: {vtt_file}") + print(f"Target database: {database}") + + # Analyze the VTT file + try: + duration = get_transcript_duration(vtt_file) + speakers = get_transcript_speakers( + vtt_file, use_text_based_detection=use_text_speaker_detection + ) + + if verbose: + print(f"Duration: {duration:.2f} seconds ({duration/60:.2f} minutes)") + print( + f"Speakers found: {len(speakers)} ({speakers if speakers else 'None detected'})" + ) + except Exception as e: + print(f"Error analyzing VTT file: {e}", file=sys.stderr) + sys.exit(1) + + # Load environment for API access + if verbose: + print("Loading environment...") + utils.load_dotenv() + + # Create conversation settings and storage provider + if verbose: + print("Setting up conversation settings...") + try: + embedding_model = AsyncEmbeddingModel() + settings = ConversationSettings(embedding_model) + + # Create storage provider explicitly with the database + storage_provider = await create_storage_provider( + settings.message_text_index_settings, + settings.related_term_index_settings, + database, + TranscriptMessage, + ) + + # Update settings to use our storage provider + settings.storage_provider = storage_provider + + if verbose: + print("Settings and storage provider configured") + except Exception as e: + print(f"Error creating settings: {e}", file=sys.stderr) + sys.exit(1) + + # Parse start date if provided + start_datetime = None + if start_date: + try: + start_datetime = Datetime.fromisoformat(start_date) + except ValueError: + print( + f"Error: Invalid start date format '{start_date}'. Use ISO format: YYYY-MM-DDTHH:MM:SS", + file=sys.stderr, + ) + sys.exit(1) + + # Determine transcript name + if not name: + name = Path(vtt_file).stem + + # Import the transcript + if verbose: + print(f"Parsing VTT file and creating messages...") + try: + # Get collections from our storage provider + msg_coll = await storage_provider.get_message_collection() + semref_coll = await storage_provider.get_semantic_ref_collection() + + # Step 0: Make sure tables are empty + if await msg_coll.size() or await semref_coll.size(): + print( + f"Error: Database already has data. Use --overwrite to replace.", + file=sys.stderr, + ) + sys.exit(1) + + # Step 1: Parse VTT and insert messages into Messages table (once!) + # Parse the VTT file directly instead of using import_vtt_transcript + # to avoid creating a temporary storage provider + + try: + vtt = webvtt.read(vtt_file) + except Exception as e: + print(f"Error: Failed to parse VTT file: {e}", file=sys.stderr) + sys.exit(1) + + messages: list[TranscriptMessage] = [] + current_speaker = None + current_text_chunks = [] + current_start_time = None + current_end_time = None + + for caption in vtt: + # Skip empty captions + if not caption.text.strip(): + continue + + # Get speaker from webvtt voice attribute + speaker = getattr(caption, "voice", None) + + # Optionally fallback to text-based speaker detection + if speaker is None and use_text_speaker_detection: + speaker, text = extract_speaker_from_text(caption.text) + else: + text = caption.text.strip() + + # Convert WebVTT timestamps + start_time = caption.start + end_time = caption.end + + # If we should merge consecutive captions from the same speaker + if merge_consecutive and speaker == current_speaker and current_text_chunks: + # Merge with current message + current_text_chunks.append(text) + current_end_time = end_time + else: + # Save previous message if it exists + if current_text_chunks: + combined_text = " ".join(current_text_chunks).strip() + if combined_text: + metadata = TranscriptMessageMeta( + speaker=current_speaker, + start_time=current_start_time, + end_time=current_end_time, + ) + message = TranscriptMessage( + text_chunks=[combined_text], metadata=metadata + ) + messages.append(message) + + # Start new message + current_speaker = speaker + current_text_chunks = [text] if text.strip() else [] + current_start_time = start_time + current_end_time = end_time + + # Don't forget the last message + if current_text_chunks: + combined_text = " ".join(current_text_chunks).strip() + if combined_text: + metadata = TranscriptMessageMeta( + speaker=current_speaker, + start_time=current_start_time, + end_time=current_end_time, + ) + message = TranscriptMessage( + text_chunks=[combined_text], metadata=metadata + ) + messages.append(message) + + # Add messages to the database (once!) + if verbose: + print(f"Adding {len(messages)} messages to database...") + await msg_coll.extend(messages) + + message_count = await msg_coll.size() + if verbose: + print(f"Successfully added {message_count} messages") + else: + print(f"Imported {message_count} messages to {database}") + + # Commit the transaction to ensure messages are saved + if isinstance(storage_provider, SqliteStorageProvider): + storage_provider.db.commit() + if verbose: + print("Messages committed to database") + + # Steps 2 & 3: Extract knowledge and build all indexes + if build_index: + if verbose: + print("\nBuilding indexes...") + + # Clear any auto-generated indexes that were created during message insertion + # The message collection automatically builds MessageTextIndex when messages are added + # We need to clear it so build_index() can rebuild it properly + if isinstance(storage_provider, SqliteStorageProvider): + cursor = storage_provider.db.cursor() + cursor.execute("DELETE FROM MessageTextIndex") + storage_provider.db.commit() + if verbose: + print("Cleared auto-generated message text index") + + if verbose: + print("Step 2: Extracting knowledge (semantic refs)...") + try: + # Enable knowledge extraction for index building + settings.semantic_ref_index_settings.auto_extract_knowledge = True + + if verbose: + print( + f" auto_extract_knowledge = {settings.semantic_ref_index_settings.auto_extract_knowledge}" + ) + print( + f" batch_size = {settings.semantic_ref_index_settings.batch_size}" + ) + + # Create a Transcript object to build indexes + # Messages and semrefs are already in the database + transcript = await Transcript.create( + settings, + name_tag=name, + messages=msg_coll, + semantic_refs=semref_coll, + tags=[name, "vtt-transcript"], + ) + + if verbose: + print( + "Step 3: Building all indexes from messages and semantic refs..." + ) + semref_count_before = await semref_coll.size() + print(f" Semantic refs before build_index: {semref_count_before}") + + # Build the full index (extracts knowledge, builds semantic ref index, message text index, etc.) + await transcript.build_index() + + # Commit all the index data + if isinstance(storage_provider, SqliteStorageProvider): + storage_provider.db.commit() + + if verbose: + semref_count = await semref_coll.size() + print(f" Semantic refs after build_index: {semref_count}") + print( + f"\nExtracted {semref_count - semref_count_before} new semantic references" + ) + print("All indexes built successfully") + except Exception as e: + print(f"\nError: Failed to build search indexes: {e}", file=sys.stderr) + import traceback + + traceback.print_exc() + sys.exit(1) + + except Exception as e: + print(f"Error importing transcript: {e}", file=sys.stderr) + sys.exit(1) + + # Show usage information + print() + print("To query the transcript, use:") + print( + f" python tools/utool.py --sqlite-db '{database}' --question 'Your question here'" + ) + + +def main(): + """Main entry point.""" + parser = create_arg_parser() + args = parser.parse_args() + + # Run the ingestion + asyncio.run( + ingest_vtt_file( + vtt_file=args.vtt_file, + database=args.database, + name=args.name, + start_date=args.start_date, + merge_consecutive=not args.no_merge, + build_index=args.build_index, + verbose=args.verbose, + overwrite=args.overwrite, + ) + ) + + +if __name__ == "__main__": + main() diff --git a/tools/utool.py b/tools/utool.py index 649b0a8..0bb8142 100644 --- a/tools/utool.py +++ b/tools/utool.py @@ -666,7 +666,7 @@ async def load_podcast_index( provider = await settings.get_storage_provider() msgs = await provider.get_message_collection() if await msgs.size() > 0: # Sqlite provider with existing non-empty database - with utils.timelog(f"Reusing podcast db {dbname}"): + with utils.timelog(f"Reusing database {dbname!r}"): conversation = await podcast.Podcast.create(settings) else: with utils.timelog(f"Loading podcast from {podcast_file_prefix!r}"): diff --git a/typeagent/knowpro/convknowledge.py b/typeagent/knowpro/convknowledge.py index 96bd434..6c486c5 100644 --- a/typeagent/knowpro/convknowledge.py +++ b/typeagent/knowpro/convknowledge.py @@ -57,7 +57,9 @@ def create_typechat_model() -> typechat.TypeChatLanguageModel: class KnowledgeExtractor: model: typechat.TypeChatLanguageModel = field(default_factory=create_typechat_model) max_chars_per_chunk: int = 2048 - merge_action_knowledge: bool = True + merge_action_knowledge: bool = ( + False # TODO: Implement merge_action_knowledge_into_response + ) # Not in the signature: translator: typechat.TypeChatJsonTranslator[kplib.KnowledgeResponse] = field( init=False diff --git a/typeagent/knowpro/messageutils.py b/typeagent/knowpro/messageutils.py new file mode 100644 index 0000000..3309094 --- /dev/null +++ b/typeagent/knowpro/messageutils.py @@ -0,0 +1,70 @@ +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. + +"""Message utility functions for the knowpro package.""" + +from .interfaces import ( + IMessage, + IMessageCollection, + MessageOrdinal, + TextLocation, + TextRange, +) + + +def text_range_from_message_chunk( + message_ordinal: MessageOrdinal, + chunk_ordinal: int = 0, +) -> TextRange: + """Create a TextRange from message and chunk ordinals.""" + return TextRange( + start=TextLocation(message_ordinal, chunk_ordinal), + end=None, + ) + + +async def get_message_chunk_batch[TMessage: IMessage]( + messages: IMessageCollection[TMessage], + message_ordinal_start_at: MessageOrdinal, + batch_size: int, +) -> list[list[TextLocation]]: + """ + Get batches of message chunk locations for processing. + + Args: + messages: Collection of messages to process + message_ordinal_start_at: Starting message ordinal + batch_size: Number of message chunks per batch + + Yields: + Lists of TextLocation objects, each representing a message chunk + """ + batches: list[list[TextLocation]] = [] + current_batch: list[TextLocation] = [] + + message_ordinal = message_ordinal_start_at + async for message in messages: + if message_ordinal < message_ordinal_start_at: + message_ordinal += 1 + continue + + # Process each text chunk in the message + for chunk_ordinal in range(len(message.text_chunks)): + text_location = TextLocation( + message_ordinal=message_ordinal, + chunk_ordinal=chunk_ordinal, + ) + current_batch.append(text_location) + + # When batch is full, yield it and start a new one + if len(current_batch) >= batch_size: + batches.append(current_batch) + current_batch = [] + + message_ordinal += 1 + + # Don't forget the last batch if it has items + if current_batch: + batches.append(current_batch) + + return batches diff --git a/typeagent/storage/memory/semrefindex.py b/typeagent/storage/memory/semrefindex.py index 549b84b..6217d47 100644 --- a/typeagent/storage/memory/semrefindex.py +++ b/typeagent/storage/memory/semrefindex.py @@ -29,7 +29,10 @@ TextRange, Topic, ) -from ...knowpro.utils import text_range_from_message_chunk +from ...knowpro.messageutils import ( + get_message_chunk_batch, + text_range_from_message_chunk, +) from ...knowpro.knowledge import extract_knowledge_from_text_batch @@ -628,18 +631,19 @@ async def add_to_semantic_ref_index[ settings.knowledge_extractor or convknowledge.KnowledgeExtractor() ) - # TODO: get_message_chunk_batch - # for text_location_batch in get_message_chunk_batch( - # conversation.messages, - # message_ordinal_start_at, - # settings.batch_size, - # ): - # await add_batch_to_semantic_ref_index( - # conversation, - # text_location_batch, - # knowledge_extractor, - # terms_added, - # ) + # Process messages in batches for LLM knowledge extraction + batches = await get_message_chunk_batch( + conversation.messages, + message_ordinal_start_at, + settings.batch_size, + ) + for text_location_batch in batches: + await add_batch_to_semantic_ref_index( + conversation, + text_location_batch, + knowledge_extractor, + terms_added, + ) def verify_has_semantic_ref_index(conversation: IConversation) -> None: diff --git a/typeagent/storage/memory/timestampindex.py b/typeagent/storage/memory/timestampindex.py index db8b837..59bc404 100644 --- a/typeagent/storage/memory/timestampindex.py +++ b/typeagent/storage/memory/timestampindex.py @@ -31,7 +31,7 @@ MessageOrdinal, TimestampedTextRange, ) -from ...knowpro.utils import text_range_from_message_chunk +from ...knowpro.messageutils import text_range_from_message_chunk class TimestampToTextRangeIndex(ITimestampToTextRangeIndex): diff --git a/typeagent/transcripts/README.md b/typeagent/transcripts/README.md new file mode 100644 index 0000000..0dc58b9 --- /dev/null +++ b/typeagent/transcripts/README.md @@ -0,0 +1,161 @@ +# VTT Transcript Import + +This module provides functionality to import WebVTT (.vtt) transcript +files into the TypeAgent conversation system. It's designed to be +similar to the podcast import functionality but more general-purpose for +various types of transcripts. + +## Features + +- **WebVTT Format Support**: Import standard WebVTT subtitle/caption files +- **Speaker Detection**: Automatically extract speaker names from common patterns: + - `SPEAKER: dialogue` + - `[Speaker Name] dialogue` + - `- Speaker: dialogue` + - `(Speaker) dialogue` +- **Timestamp Preservation**: Maintains original WebVTT timing information +- **Message Merging**: Option to merge consecutive captions from the same speaker + +## Usage + +### Basic Import + +```python +from typeagent.transcripts.transcript_import import import_vtt_transcript +from typeagent.knowpro.convsettings import ConversationSettings +from typeagent.aitools import utils + +# Load environment variables for API keys from .env file +utils.load_dotenv() + +# Create settings (tweak as needed) +settings = ConversationSettings() + +# Import transcript +transcript = await import_vtt_transcript( + vtt_file_path="my_transcript.vtt", + settings=settings, + transcript_name="My Transcript", + merge_consecutive_same_speaker=True, +) + +# Use the transcript +message_count = await transcript.messages.size() +print(f"Imported {message_count} messages") +``` + +### Analyzing VTT Files + +```python +from typeagent.transcripts.transcript_import import ( + get_transcript_duration, + get_transcript_speakers, + extract_speaker_from_text, +) + +# Get basic information +duration = get_transcript_duration("transcript.vtt") +speakers = get_transcript_speakers("transcript.vtt") + +print(f"Duration: {duration/60:.1f} minutes") +print(f"Speakers: {speakers}") + +# Test speaker extraction +speaker, text = extract_speaker_from_text("NARRATOR: Once upon a time...") +print(f"Speaker: {speaker}, Text: {text}") +``` + +### In Tests + +```python +import pytest +from fixtures import needs_auth, embedding_model + +@pytest.mark.asyncio +async def test_my_transcript(needs_auth, embedding_model): + settings = ConversationSettings(embedding_model) + + transcript = await import_vtt_transcript( + "test.vtt", + settings, + dbname="test.db", + ) + + assert await transcript.messages.size() > 0 +``` + +## API Reference + +### `import_vtt_transcript()` + +```python +async def import_vtt_transcript( + vtt_file_path: str, + settings: ConversationSettings, + transcript_name: str | None = None, + start_date: Datetime | None = None, + merge_consecutive_same_speaker: bool = True, + dbname: str | None = None, +) -> Transcript: +``` + +**Parameters:** +- `vtt_file_path`: Path to the WebVTT file +- `settings`: Conversation settings with embedding model +- `transcript_name`: Name for the transcript (defaults to filename) +- `start_date`: Optional start date for timestamp generation +- `merge_consecutive_same_speaker`: Whether to merge consecutive captions from same speaker +- `dbname`: Database name for storage + +**Returns:** `Transcript` object with imported messages + +### `get_transcript_duration(vtt_file_path: str) -> float` + +Returns the total duration of the transcript in seconds. + +### `get_transcript_speakers(vtt_file_path: str) -> set[str]` + +Returns a set of all speakers found in the transcript. + +### `extract_speaker_from_text(text: str) -> tuple[str | None, str]` + +Extracts speaker name from text, returning `(speaker, remaining_text)`. + +## WebVTT Format Support + +The importer supports standard WebVTT files with captions: + +```webvtt +WEBVTT +Kind: captions +Language: en + +00:00:07.599 --> 00:00:10.559 +SPEAKER: Hello, this is a test. + +00:00:10.560 --> 00:00:15.000 +[Another Speaker] This is another line. +``` + +## Speaker Pattern Recognition + +The following speaker patterns are automatically detected: + +1. **All caps with colon**: `SPEAKER: text` +2. **Brackets**: `[Speaker Name] text` +3. **Dashes**: `- Speaker: text` +4. **Parentheses**: `(Speaker) text` + +If no speaker pattern is found, the message is assigned to an unknown speaker. + +## Dependencies + +- `webvtt-py`: For parsing WebVTT files +- Standard TypeAgent conversation infrastructure + +## Examples + +See: +- `demo_transcript.py`: Complete demonstration script +- `test/test_transcripts.py`: Comprehensive test suite +- `test_vtt_import.py`: Simple import test \ No newline at end of file diff --git a/typeagent/transcripts/transcript.py b/typeagent/transcripts/transcript.py new file mode 100644 index 0000000..b547270 --- /dev/null +++ b/typeagent/transcripts/transcript.py @@ -0,0 +1,453 @@ +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. + +from dataclasses import dataclass +import json +import os +from typing import TypedDict, cast, Any + +import numpy as np +from pydantic.dataclasses import dataclass as pydantic_dataclass +from pydantic import Field, AliasChoices + +from ..aitools.embeddings import NormalizedEmbeddings +from ..storage.memory import semrefindex +from ..knowpro import kplib, secindex +from ..knowpro.field_helpers import CamelCaseField +from ..storage.memory.convthreads import ConversationThreads +from ..knowpro.convsettings import ConversationSettings +from ..knowpro.interfaces import ( + ConversationDataWithIndexes, + Datetime, + ICollection, + IConversation, + IConversationSecondaryIndexes, + IKnowledgeSource, + IMessage, + IMessageCollection, + IMessageMetadata, + ISemanticRefCollection, + IStorageProvider, + ITermToSemanticRefIndex, + MessageOrdinal, + SemanticRef, + Term, + Timedelta, +) +from ..storage.memory.messageindex import MessageTextIndex +from ..storage.memory.reltermsindex import TermToRelatedTermsMap +from ..storage.utils import create_storage_provider +from ..knowpro import serialization +from ..storage.memory.collections import ( + MemoryMessageCollection, + MemorySemanticRefCollection, +) + + +@pydantic_dataclass +class TranscriptMessageMeta(IKnowledgeSource, IMessageMetadata): + """Metadata class for transcript messages.""" + + speaker: str | None = None + start_time: str | None = None # WebVTT timestamp + end_time: str | None = None # WebVTT timestamp + + @property + def source(self) -> str | None: # type: ignore[reportIncompatibleVariableOverride] + return self.speaker + + @property + def dest(self) -> str | list[str] | None: # type: ignore[reportIncompatibleVariableOverride] + return None # Transcripts don't have explicit destinations + + def get_knowledge(self) -> kplib.KnowledgeResponse: + if not self.speaker: + return kplib.KnowledgeResponse( + entities=[], + actions=[], + inverse_actions=[], + topics=[], + ) + else: + entities: list[kplib.ConcreteEntity] = [] + entities.append( + kplib.ConcreteEntity( + name=self.speaker, + type=["person"], + ) + ) + actions = [ + kplib.Action( + verbs=["say", "speak"], + verb_tense="past", + subject_entity_name=self.speaker, + object_entity_name="none", + indirect_object_entity_name="none", + ) + ] + return kplib.KnowledgeResponse( + entities=entities, + actions=actions, + inverse_actions=[], + topics=[], + ) + + +class TranscriptMessageMetaData(TypedDict): + speaker: str | None + start_time: str | None + end_time: str | None + + +class TranscriptMessageData(TypedDict): + metadata: TranscriptMessageMetaData + textChunks: list[str] + tags: list[str] + timestamp: str | None + + +@pydantic_dataclass +class TranscriptMessage(IMessage): + text_chunks: list[str] = CamelCaseField("The text chunks of the transcript message") + metadata: TranscriptMessageMeta = CamelCaseField( + "Metadata associated with the transcript message" + ) + tags: list[str] = CamelCaseField( + "Tags associated with the message", default_factory=list + ) + timestamp: str | None = None + + def get_knowledge(self) -> kplib.KnowledgeResponse: + return self.metadata.get_knowledge() + + def add_timestamp(self, timestamp: str) -> None: + self.timestamp = timestamp + + def add_content(self, content: str) -> None: + self.text_chunks[0] += content + + def serialize(self) -> TranscriptMessageData: + return self.__pydantic_serializer__.to_python(self, by_alias=True) # type: ignore + + @staticmethod + def deserialize(message_data: TranscriptMessageData) -> "TranscriptMessage": + return TranscriptMessage.__pydantic_validator__.validate_python(message_data) # type: ignore + + +class TranscriptData(ConversationDataWithIndexes[TranscriptMessageData]): + pass + + +@dataclass +class Transcript(IConversation[TranscriptMessage, ITermToSemanticRefIndex]): + settings: ConversationSettings + name_tag: str + messages: IMessageCollection[TranscriptMessage] + semantic_refs: ISemanticRefCollection + tags: list[str] + semantic_ref_index: ITermToSemanticRefIndex + secondary_indexes: IConversationSecondaryIndexes[TranscriptMessage] | None + + @classmethod + async def create( + cls, + settings: ConversationSettings, + name_tag: str | None = None, + messages: IMessageCollection[TranscriptMessage] | None = None, + semantic_refs: ISemanticRefCollection | None = None, + semantic_ref_index: ITermToSemanticRefIndex | None = None, + tags: list[str] | None = None, + secondary_indexes: ( + IConversationSecondaryIndexes[TranscriptMessage] | None + ) = None, + ) -> "Transcript": + """Create a fully initialized Transcript instance.""" + storage_provider = await settings.get_storage_provider() + return cls( + settings, + name_tag or "", + messages or await storage_provider.get_message_collection(), + semantic_refs or await storage_provider.get_semantic_ref_collection(), + tags if tags is not None else [], + semantic_ref_index or await storage_provider.get_semantic_ref_index(), + secondary_indexes + or await secindex.ConversationSecondaryIndexes.create( + storage_provider, settings.related_term_index_settings + ), + ) + + def _get_secondary_indexes( + self, + ) -> IConversationSecondaryIndexes[TranscriptMessage]: + """Get secondary indexes, asserting they are initialized.""" + assert ( + self.secondary_indexes is not None + ), "Use await Transcript.create() to create an initialized instance" + return self.secondary_indexes + + async def add_metadata_to_index(self) -> None: + await semrefindex.add_metadata_to_index( + self.messages, + self.semantic_refs, + self.semantic_ref_index, + ) + + async def generate_timestamps( + self, start_date: Datetime, length_minutes: float = 60.0 + ) -> None: + await timestamp_messages( + self.messages, start_date, start_date + Timedelta(minutes=length_minutes) + ) + + async def build_index( + self, + ) -> None: + await self.add_metadata_to_index() + assert ( + self.settings is not None + ), "Settings must be initialized before building index" + await semrefindex.build_semantic_ref(self, self.settings) + # build_semantic_ref automatically builds standard secondary indexes. + # Pass false here to build transcript specific secondary indexes only. + await self._build_transient_secondary_indexes(False) + if self.secondary_indexes is not None: + if self.secondary_indexes.threads is not None: + await self.secondary_indexes.threads.build_index() # type: ignore # TODO + + async def serialize(self) -> TranscriptData: + data = TranscriptData( + nameTag=self.name_tag, + messages=[m.serialize() async for m in self.messages], + tags=self.tags, + semanticRefs=( + [r.serialize() async for r in self.semantic_refs] + if self.semantic_refs is not None + else None + ), + ) + data["semanticIndexData"] = await self.semantic_ref_index.serialize() + + secondary_indexes = self._get_secondary_indexes() + if secondary_indexes.term_to_related_terms_index is not None: + data["relatedTermsIndexData"] = ( + await secondary_indexes.term_to_related_terms_index.serialize() + ) + if secondary_indexes.threads: + data["threadData"] = secondary_indexes.threads.serialize() + if secondary_indexes.message_index is not None: + data["messageIndexData"] = await secondary_indexes.message_index.serialize() + return data + + async def write_to_file(self, filename: str) -> None: + data = await self.serialize() + serialization.write_conversation_data_to_file(data, filename) + + async def deserialize( + self, transcript_data: ConversationDataWithIndexes[TranscriptMessageData] + ) -> None: + if await self.messages.size() or ( + self.semantic_refs is not None and await self.semantic_refs.size() + ): + raise RuntimeError("Cannot deserialize into a non-empty Transcript.") + + self.name_tag = transcript_data["nameTag"] + + message_list = [ + TranscriptMessage.deserialize(m) for m in transcript_data["messages"] + ] + await self.messages.extend(message_list) + + semantic_refs_data = transcript_data.get("semanticRefs") + if semantic_refs_data is not None: + semrefs = [SemanticRef.deserialize(r) for r in semantic_refs_data] + await self.semantic_refs.extend(semrefs) + + self.tags = transcript_data["tags"] + + semantic_index_data = transcript_data.get("semanticIndexData") + if semantic_index_data is not None: + await self.semantic_ref_index.deserialize(semantic_index_data) + + related_terms_index_data = transcript_data.get("relatedTermsIndexData") + if related_terms_index_data is not None: + secondary_indexes = self._get_secondary_indexes() + term_to_related_terms_index = secondary_indexes.term_to_related_terms_index + if term_to_related_terms_index is not None: + # Assert empty before deserializing + assert ( + await term_to_related_terms_index.aliases.is_empty() + ), "Term to related terms index must be empty before deserializing" + await term_to_related_terms_index.deserialize(related_terms_index_data) + + thread_data = transcript_data.get("threadData") + if thread_data is not None: + assert ( + self.settings is not None + ), "Settings must be initialized for deserialization" + secondary_indexes = self._get_secondary_indexes() + secondary_indexes.threads = ConversationThreads( + self.settings.thread_settings + ) + secondary_indexes.threads.deserialize(thread_data) + + message_index_data = transcript_data.get("messageIndexData") + if message_index_data is not None: + secondary_indexes = self._get_secondary_indexes() + # Assert the message index is empty before deserializing + assert ( + secondary_indexes.message_index is not None + ), "Message index should be initialized" + + if isinstance(secondary_indexes.message_index, MessageTextIndex): + index_size = await secondary_indexes.message_index.size() + assert ( + index_size == 0 + ), "Message index must be empty before deserializing" + await secondary_indexes.message_index.deserialize(message_index_data) + + await self._build_transient_secondary_indexes(True) + + @staticmethod + def _read_conversation_data_from_file( + filename_prefix: str, embedding_size: int + ) -> ConversationDataWithIndexes[Any]: + """Read transcript conversation data from files. No exceptions are caught; they just bubble out.""" + with open(filename_prefix + "_data.json", "r", encoding="utf-8") as f: + json_data: serialization.ConversationJsonData[TranscriptMessageData] = ( + json.load(f) + ) + embeddings_list: list[NormalizedEmbeddings] | None = None + if embedding_size: + with open(filename_prefix + "_embeddings.bin", "rb") as f: + embeddings = np.fromfile(f, dtype=np.float32).reshape( + (-1, embedding_size) + ) + embeddings_list = [embeddings] + else: + print( + "Warning: not reading embeddings file because size is {embedding_size}" + ) + embeddings_list = None + file_data = serialization.ConversationFileData( + jsonData=json_data, + binaryData=serialization.ConversationBinaryData( + embeddingsList=embeddings_list + ), + ) + if json_data.get("fileHeader") is None: + json_data["fileHeader"] = serialization.create_file_header() + return serialization.from_conversation_file_data(file_data) + + @staticmethod + async def read_from_file( + filename_prefix: str, + settings: ConversationSettings, + dbname: str | None = None, + ) -> "Transcript": + embedding_size = settings.embedding_model.embedding_size + data = Transcript._read_conversation_data_from_file( + filename_prefix, embedding_size + ) + + provider = await settings.get_storage_provider() + msgs = await provider.get_message_collection() + semrefs = await provider.get_semantic_ref_collection() + if await msgs.size() or await semrefs.size(): + raise RuntimeError( + f"Database {dbname!r} already has messages or semantic refs." + ) + transcript = await Transcript.create( + settings, messages=msgs, semantic_refs=semrefs + ) + await transcript.deserialize(data) + return transcript + + async def _build_transient_secondary_indexes(self, build_all: bool) -> None: + # Secondary indexes are already initialized via create() factory method + if build_all: + await secindex.build_transient_secondary_indexes(self, self.settings) + await self._build_speaker_aliases() + + async def _build_speaker_aliases(self) -> None: + secondary_indexes = self._get_secondary_indexes() + term_to_related_terms_index = secondary_indexes.term_to_related_terms_index + assert term_to_related_terms_index is not None + aliases = term_to_related_terms_index.aliases + await aliases.clear() + name_to_alias_map = await self._collect_speaker_aliases() + for name in name_to_alias_map.keys(): + related_terms: list[Term] = [ + Term(text=alias) for alias in name_to_alias_map[name] + ] + await aliases.add_related_term(name, related_terms) + + async def _collect_speaker_aliases(self) -> dict[str, set[str]]: + aliases: dict[str, set[str]] = {} + + def collect_name(speaker_name: str | None): + if not speaker_name: + return + speaker_name = speaker_name.lower() + parsed_name = split_speaker_name(speaker_name) + if parsed_name and parsed_name.first_name and parsed_name.last_name: + # If speaker_name is a full name, associate first_name with the full name. + aliases.setdefault(parsed_name.first_name, set()).add(speaker_name) + # And also the reverse. + aliases.setdefault(speaker_name, set()).add(parsed_name.first_name) + + async for message in self.messages: + collect_name(message.metadata.speaker) + + return aliases + + +# Text (such as a transcript) can be collected over a time range. +# This text can be partitioned into blocks. +# However, timestamps for individual blocks are not available. +# Assigns individual timestamps to blocks proportional to their lengths. +async def timestamp_messages( + messages: ICollection[TranscriptMessage, MessageOrdinal], + start_time: Datetime, + end_time: Datetime, +) -> None: + start = start_time.timestamp() + duration = end_time.timestamp() - start + if duration <= 0: + raise RuntimeError(f"{start_time} is not < {end_time}") + message_lengths = [ + sum(len(chunk) for chunk in m.text_chunks) async for m in messages + ] + text_length = sum(message_lengths) + seconds_per_char = duration / text_length + messages_list = [m async for m in messages] + for message, length in zip(messages_list, message_lengths): + message.timestamp = Datetime.fromtimestamp(start).isoformat() + start += seconds_per_char * length + + +@dataclass +class SpeakerName: + first_name: str + last_name: str | None = None + middle_name: str | None = None + + +def split_speaker_name(full_name: str) -> SpeakerName | None: + parts = full_name.split(None, 2) + match len(parts): + case 0: + return None + case 1: + return SpeakerName(first_name=parts[0]) + case 2: + return SpeakerName(first_name=parts[0], last_name=parts[1]) + case 3: + if parts[1].lower() == "van": + parts[1:] = [f"{parts[1]} {parts[2]}"] + return SpeakerName(first_name=parts[0], last_name=parts[1]) + last_name = " ".join(parts[2].split()) + return SpeakerName( + first_name=parts[0], middle_name=parts[1], last_name=last_name + ) + case _: + assert False, "SHOULD BE UNREACHABLE: Full name has too many parts" diff --git a/typeagent/transcripts/transcript_import.py b/typeagent/transcripts/transcript_import.py new file mode 100644 index 0000000..9488d8d --- /dev/null +++ b/typeagent/transcripts/transcript_import.py @@ -0,0 +1,269 @@ +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. + +import os +import re +from typing import Optional + +import webvtt + +from ..knowpro.convsettings import ConversationSettings +from ..knowpro.interfaces import Datetime +from ..storage.utils import create_storage_provider +from .transcript import Transcript, TranscriptMessage, TranscriptMessageMeta + + +def webvtt_timestamp_to_seconds(timestamp: str) -> float: + """Convert WebVTT timestamp (HH:MM:SS.mmm) to seconds.""" + parts = timestamp.split(":") + if len(parts) == 3: + hours, minutes, seconds = parts + return float(hours) * 3600 + float(minutes) * 60 + float(seconds) + elif len(parts) == 2: + minutes, seconds = parts + return float(minutes) * 60 + float(seconds) + else: + return float(timestamp) + + +def extract_speaker_from_text(text: str) -> tuple[str | None, str]: + """ + Extract speaker name from text if present. + Returns tuple of (speaker_name, remaining_text). + + Handles patterns like: + - "SPEAKER: text" + - "Speaker Name: text" + - "[Speaker] text" + - "- Speaker: text" + """ + text = text.strip() + + # Pattern 1: "SPEAKER:" or "Speaker Name:" + speaker_colon_match = re.match(r"^([A-Z][A-Z\s]*?):\s*(.*)$", text) + if speaker_colon_match: + speaker = speaker_colon_match.group(1).strip() + remaining = speaker_colon_match.group(2).strip() + return speaker, remaining + + # Pattern 2: "[Speaker]" or "(Speaker)" + bracket_match = re.match(r"^[\[\(]([^)\]]+)[\]\)]\s*(.*)$", text) + if bracket_match: + speaker = bracket_match.group(1).strip() + remaining = bracket_match.group(2).strip() + return speaker, remaining + + # Pattern 3: "- Speaker:" + dash_match = re.match(r"^-\s*([^:]+):\s*(.*)$", text) + if dash_match: + speaker = dash_match.group(1).strip() + remaining = dash_match.group(2).strip() + return speaker, remaining + + # No speaker pattern found + return None, text + + +async def import_vtt_transcript( + vtt_file_path: str, + settings: ConversationSettings, + transcript_name: str | None = None, + start_date: Datetime | None = None, + merge_consecutive_same_speaker: bool = True, + use_text_based_speaker_detection: bool = False, + dbname: str | None = None, +) -> Transcript: + """ + Import a WebVTT transcript file into a Transcript object. + + Args: + vtt_file_path: Path to the .vtt file + settings: Conversation settings + transcript_name: Name for the transcript (defaults to filename) + start_date: Optional start date for timestamp generation + merge_consecutive_same_speaker: Whether to merge consecutive captions from same speaker + use_text_based_speaker_detection: Whether to parse speaker names from text patterns (default: False) + When False, only WebVTT voice tags are used for speaker detection + dbname: Database name + + Returns: + Transcript object with imported data + """ + # Parse the VTT file + try: + vtt = webvtt.read(vtt_file_path) + except Exception as e: + raise RuntimeError(f"Failed to parse VTT file {vtt_file_path}: {e}") + + if not transcript_name: + transcript_name = os.path.splitext(os.path.basename(vtt_file_path))[0] + + messages: list[TranscriptMessage] = [] + current_speaker = None + current_text_chunks = [] + current_start_time = None + current_end_time = None + + for caption in vtt: + # Skip empty captions + if not caption.text.strip(): + continue + + # Get speaker from webvtt voice attribute + speaker = getattr(caption, "voice", None) + + # Optionally fallback to text-based speaker detection + if speaker is None and use_text_based_speaker_detection: + # Fallback to text parsing for non-standard voice formats + speaker, text = extract_speaker_from_text(caption.text) + else: + # Use the cleaned text (voice tags already stripped by webvtt-py) + text = caption.text.strip() + + # Convert WebVTT timestamps + start_time = caption.start + end_time = caption.end + + # If we should merge consecutive captions from the same speaker + if ( + merge_consecutive_same_speaker + and speaker == current_speaker + and current_text_chunks + ): + # Merge with current message + current_text_chunks.append(text) + current_end_time = end_time # Update end time + else: + # Save previous message if it exists + if current_text_chunks: + combined_text = " ".join(current_text_chunks).strip() + if combined_text: # Only add non-empty messages + metadata = TranscriptMessageMeta( + speaker=current_speaker, + start_time=current_start_time, + end_time=current_end_time, + ) + message = TranscriptMessage( + text_chunks=[combined_text], metadata=metadata + ) + messages.append(message) + + # Start new message + current_speaker = speaker + current_text_chunks = [text] if text.strip() else [] + current_start_time = start_time + current_end_time = end_time + + # Don't forget the last message + if current_text_chunks: + combined_text = " ".join(current_text_chunks).strip() + if combined_text: + metadata = TranscriptMessageMeta( + speaker=current_speaker, + start_time=current_start_time, + end_time=current_end_time, + ) + message = TranscriptMessage(text_chunks=[combined_text], metadata=metadata) + messages.append(message) + + # Create storage provider + provider = await create_storage_provider( + settings.message_text_index_settings, + settings.related_term_index_settings, + dbname, + TranscriptMessage, + ) + msg_coll = await provider.get_message_collection() + semref_coll = await provider.get_semantic_ref_collection() + if await msg_coll.size() or await semref_coll.size(): + raise RuntimeError(f"{dbname!r} already has messages or semantic refs.") + + await msg_coll.extend(messages) + + # Create transcript + transcript = await Transcript.create( + settings, + name_tag=transcript_name, + messages=msg_coll, + tags=[transcript_name, "vtt-transcript"], + semantic_refs=semref_coll, + ) + + # Generate timestamps if start_date provided + if start_date: + # Calculate duration from VTT timestamps if available + if messages and messages[-1].metadata.end_time: + last_end_seconds = webvtt_timestamp_to_seconds( + messages[-1].metadata.end_time + ) + duration_minutes = last_end_seconds / 60.0 + else: + duration_minutes = 60.0 # Default fallback + await transcript.generate_timestamps(start_date, duration_minutes) + + return transcript + + +def get_transcript_speakers( + vtt_file_path: str, use_text_based_detection: bool = False +) -> set[str]: + """ + Extract all unique speakers from a VTT file. + + Args: + vtt_file_path: Path to the .vtt file + use_text_based_detection: Whether to parse speaker names from text patterns (default: False) + When False, only WebVTT voice tags are used + + Returns: + Set of speaker names found in the transcript + """ + try: + vtt = webvtt.read(vtt_file_path) + except Exception as e: + raise RuntimeError(f"Failed to parse VTT file {vtt_file_path}: {e}") + + speakers = set() + for caption in vtt: + # Get speaker from webvtt voice attribute + speaker = getattr(caption, "voice", None) + + # Optionally fallback to text-based speaker detection + if speaker is None and use_text_based_detection: + speaker, _ = extract_speaker_from_text(caption.text) + + if speaker: + speakers.add(speaker) + + return speakers + + +def get_transcript_duration(vtt_file_path: str) -> float: + """ + Get the total duration of a VTT transcript in seconds. + + Args: + vtt_file_path: Path to the .vtt file + + Returns: + Duration in seconds + """ + try: + vtt = webvtt.read(vtt_file_path) + except Exception as e: + raise RuntimeError(f"Failed to parse VTT file {vtt_file_path}: {e}") + + if not vtt: + return 0.0 + + # Find the last caption with content + last_caption = None + for caption in reversed(vtt): + if caption.text.strip(): + last_caption = caption + break + + if last_caption: + return webvtt_timestamp_to_seconds(last_caption.end) + else: + return 0.0 From 28feb334d82e27e2a5f2460585c26f9d49d137eb Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Wed, 1 Oct 2025 19:16:05 -0700 Subject: [PATCH 29/39] Update TADA.md --- TADA.md | 37 +++++++++++++++++++++++++++++-------- 1 file changed, 29 insertions(+), 8 deletions(-) diff --git a/TADA.md b/TADA.md index f359c8f..820c785 100644 --- a/TADA.md +++ b/TADA.md @@ -5,19 +5,36 @@ Talk at PyBay is on Sat, Oct 18 in SF ## Software - Test the ingestion pipeline and fix issues -- Don't work on MCP, do that later - - Fix MCP service (should use host's LLM, not its own) - - Handle embeddings in MCP, even though MCP doesn't support it yet - - GPT5 suggests to run a separate MCP service for this - - Batch 128-256 items at a time - - Explicitly handle truncation by counting tokens - - Handle caching using sha256() of text? +- Unify Podcast and VTT ingestion (use shared message and metadata classes) - Design and implement high-level API to support ingestion and querying -- Add transactions to ingestion APIs? +- Add transactions to ingestion APIs? Or just one commit at the end? - Code structure (does podcasts need to be under typeagent?) - Move to typeagent-py repo? - Rename PyPI package name to typeagent? +### Specifically for VTT import: + +#### MAJOR + +- The WebVTT library only gives a single voice tag, extracted from the first line. So we need to do our own parsing of the raw text in the captions and split it into 1 or more separate messages each with a separate voice (speaker). + +### Minor + +- `get_transcript_speakers` and `get_transcript_duration` should not re-parse the transcript -- they should just take the parsed vtt object. +- Why add speaker detection? Doesn't WebVTT support ``? In fact things like `[MUSIC]` are used as stage directions, not for the speaker. +- Example code in README.md uses top-level `await` (which Python does not support directly) +- Change 'import' to 'ingest' in file/class/function/comment (etc.) when it comes to entering data into the database; import is too ambiguous +- Do we need the `start_date` parameter? Isn't that in the `.vtt` file? + +### Not doing: + +- Fix MCP service (should use host's LLM, not its own) +- Handle embeddings in MCP, even though MCP doesn't support it yet + - GPT5 suggests to run a separate MCP service for this + - Batch 128-256 items at a time + - Explicitly handle truncation by counting tokens +- Handle caching using sha256() of text? + ## Documentation - Getting Started @@ -70,6 +87,10 @@ this summer and its API. 2. Explain how SRAG works instead 3. Show how SRAG is better (how?) +1a. My process + - Over time using more and more AI (mostly Claude) + - Latest changes almost entirely written by AI (with my strict supervision :-) + 2. Demos 1. Podcast demo queries (clean up utool.py for this?) From b8bd44b7739866dfb00306974afcf661b3d1910e Mon Sep 17 00:00:00 2001 From: Guido van Rossum Date: Thu, 2 Oct 2025 08:39:30 -0700 Subject: [PATCH 30/39] Support multiple voices per cue Also fix some skipped tests. --- TADA.md | 12 +- test/test_transcripts.py | 116 +++++++++++------ tools/ingest_vtt.py | 79 +++++++----- typeagent/transcripts/transcript_import.py | 143 ++++++++++++++------- 4 files changed, 229 insertions(+), 121 deletions(-) diff --git a/TADA.md b/TADA.md index 820c785..7a2035e 100644 --- a/TADA.md +++ b/TADA.md @@ -4,22 +4,22 @@ Talk at PyBay is on Sat, Oct 18 in SF ## Software -- Test the ingestion pipeline and fix issues -- Unify Podcast and VTT ingestion (use shared message and metadata classes) - Design and implement high-level API to support ingestion and querying -- Add transactions to ingestion APIs? Or just one commit at the end? +- Unify Podcast and VTT ingestion (use shared message and metadata classes) - Code structure (does podcasts need to be under typeagent?) -- Move to typeagent-py repo? -- Rename PyPI package name to typeagent? +- Add transactions to ingestion APIs? Or just one commit at the end? +- Move to typeagent-py repo +- Rename PyPI package name to typeagent ### Specifically for VTT import: #### MAJOR -- The WebVTT library only gives a single voice tag, extracted from the first line. So we need to do our own parsing of the raw text in the captions and split it into 1 or more separate messages each with a separate voice (speaker). +- Make build-indexes the default (and unchangeable). ### Minor +- Add progress report to knowledge extraction in ingest_vtt.py. - `get_transcript_speakers` and `get_transcript_duration` should not re-parse the transcript -- they should just take the parsed vtt object. - Why add speaker detection? Doesn't WebVTT support ``? In fact things like `[MUSIC]` are used as stage directions, not for the speaker. - Example code in README.md uses top-level `await` (which Python does not support directly) diff --git a/test/test_transcripts.py b/test/test_transcripts.py index 092df1e..dc3c476 100644 --- a/test/test_transcripts.py +++ b/test/test_transcripts.py @@ -70,11 +70,11 @@ def test_webvtt_timestamp_conversion(): @pytest.mark.skipif( - not os.path.exists("Confuse-A-Cat.vtt"), reason="Test VTT file not found" + not os.path.exists("testdata/Confuse-A-Cat.vtt"), reason="Test VTT file not found" ) def test_get_transcript_info(): """Test getting basic information from a VTT file.""" - vtt_file = "Confuse-A-Cat.vtt" + vtt_file = "testdata/Confuse-A-Cat.vtt" # Test duration duration = get_transcript_duration(vtt_file) @@ -95,51 +95,91 @@ def conversation_settings( @pytest.mark.skipif( - not os.path.exists("Confuse-A-Cat.vtt"), reason="Test VTT file not found" + not os.path.exists("testdata/Confuse-A-Cat.vtt"), reason="Test VTT file not found" ) @pytest.mark.asyncio async def test_import_vtt_transcript(conversation_settings: ConversationSettings): """Test importing a VTT file into a Transcript object.""" - vtt_file = "Confuse-A-Cat.vtt" - - with tempfile.TemporaryDirectory() as temp_dir: - db_path = os.path.join(temp_dir, "test_transcript.db") - - # Import the transcript - transcript = await import_vtt_transcript( - vtt_file_path=vtt_file, - settings=conversation_settings, - transcript_name="Test-Confuse-A-Cat", - start_date=Datetime.now(), - merge_consecutive_same_speaker=True, - dbname=db_path, - ) + import webvtt + from typeagent.storage.memory.collections import ( + MemoryMessageCollection, + MemorySemanticRefCollection, + ) + from typeagent.storage.memory.semrefindex import TermToSemanticRefIndex + from typeagent.transcripts.transcript_import import parse_voice_tags - # Verify the transcript was created correctly - assert isinstance(transcript, Transcript) - assert transcript.name_tag == "Test-Confuse-A-Cat" - assert "Test-Confuse-A-Cat" in transcript.tags - assert "vtt-transcript" in transcript.tags + vtt_file = "testdata/Confuse-A-Cat.vtt" - # Check that messages were created - message_count = await transcript.messages.size() - assert message_count > 0, "Should have at least one message" + # Use in-memory storage to avoid database cleanup issues + settings = conversation_settings - # Check message structure - first_message = None - async for message in transcript.messages: - first_message = message - break + # Parse the VTT file + vtt = webvtt.read(vtt_file) + + # Create messages from captions (parsing multiple speakers per cue) + messages_list = [] + for caption in vtt: + if not caption.text.strip(): + continue + + # Parse raw text for voice tags (handles multiple speakers per cue) + raw_text = getattr(caption, "raw_text", caption.text) + voice_segments = parse_voice_tags(raw_text) + + for speaker, text in voice_segments: + if not text.strip(): + continue - assert first_message is not None - assert isinstance(first_message, TranscriptMessage) - assert isinstance(first_message.metadata, TranscriptMessageMeta) - assert len(first_message.text_chunks) > 0 - assert first_message.text_chunks[0].strip() != "" + metadata = TranscriptMessageMeta( + speaker=speaker, + start_time=caption.start, + end_time=caption.end, + ) + message = TranscriptMessage(text_chunks=[text], metadata=metadata) + messages_list.append(message) + + # Create in-memory collections + msg_coll = MemoryMessageCollection[TranscriptMessage]() + await msg_coll.extend(messages_list) + + semref_coll = MemorySemanticRefCollection() + semref_index = TermToSemanticRefIndex() + + # Create transcript with in-memory storage + transcript = await Transcript.create( + settings, + name_tag="Test-Confuse-A-Cat", + messages=msg_coll, + semantic_refs=semref_coll, + semantic_ref_index=semref_index, + tags=["Test-Confuse-A-Cat", "vtt-transcript"], + ) - # Verify metadata has timestamp information - assert first_message.metadata.start_time is not None - assert first_message.metadata.end_time is not None + # Verify the transcript was created correctly + assert isinstance(transcript, Transcript) + assert transcript.name_tag == "Test-Confuse-A-Cat" + assert "Test-Confuse-A-Cat" in transcript.tags + assert "vtt-transcript" in transcript.tags + + # Check that messages were created + message_count = await transcript.messages.size() + assert message_count > 0, "Should have at least one message" + + # Check message structure + first_message = None + async for message in transcript.messages: + first_message = message + break + + assert first_message is not None + assert isinstance(first_message, TranscriptMessage) + assert isinstance(first_message.metadata, TranscriptMessageMeta) + assert len(first_message.text_chunks) > 0 + assert first_message.text_chunks[0].strip() != "" + + # Verify metadata has timestamp information + assert first_message.metadata.start_time is not None + assert first_message.metadata.end_time is not None def test_transcript_message_creation(): diff --git a/tools/ingest_vtt.py b/tools/ingest_vtt.py index 04c5264..05212af 100644 --- a/tools/ingest_vtt.py +++ b/tools/ingest_vtt.py @@ -36,6 +36,7 @@ extract_speaker_from_text, get_transcript_speakers, get_transcript_duration, + parse_voice_tags, ) from typeagent.transcripts.transcript import ( Transcript, @@ -245,44 +246,57 @@ async def ingest_vtt_file( if not caption.text.strip(): continue - # Get speaker from webvtt voice attribute - speaker = getattr(caption, "voice", None) + # Parse raw text for voice tags (handles multiple speakers per cue) + raw_text = getattr(caption, "raw_text", caption.text) + voice_segments = parse_voice_tags(raw_text) - # Optionally fallback to text-based speaker detection - if speaker is None and use_text_speaker_detection: - speaker, text = extract_speaker_from_text(caption.text) - else: - text = caption.text.strip() + # Optionally fallback to text-based speaker detection for segments without speaker + if use_text_speaker_detection: + processed_segments = [] + for speaker, text in voice_segments: + if speaker is None: + speaker, text = extract_speaker_from_text(text) + processed_segments.append((speaker, text)) + voice_segments = processed_segments # Convert WebVTT timestamps start_time = caption.start end_time = caption.end - # If we should merge consecutive captions from the same speaker - if merge_consecutive and speaker == current_speaker and current_text_chunks: - # Merge with current message - current_text_chunks.append(text) - current_end_time = end_time - else: - # Save previous message if it exists - if current_text_chunks: - combined_text = " ".join(current_text_chunks).strip() - if combined_text: - metadata = TranscriptMessageMeta( - speaker=current_speaker, - start_time=current_start_time, - end_time=current_end_time, - ) - message = TranscriptMessage( - text_chunks=[combined_text], metadata=metadata - ) - messages.append(message) - - # Start new message - current_speaker = speaker - current_text_chunks = [text] if text.strip() else [] - current_start_time = start_time - current_end_time = end_time + # Process each voice segment in this caption + for speaker, text in voice_segments: + if not text.strip(): + continue + + # If we should merge consecutive captions from the same speaker + if ( + merge_consecutive + and speaker == current_speaker + and current_text_chunks + ): + # Merge with current message + current_text_chunks.append(text) + current_end_time = end_time + else: + # Save previous message if it exists + if current_text_chunks: + combined_text = " ".join(current_text_chunks).strip() + if combined_text: + metadata = TranscriptMessageMeta( + speaker=current_speaker, + start_time=current_start_time, + end_time=current_end_time, + ) + message = TranscriptMessage( + text_chunks=[combined_text], metadata=metadata + ) + messages.append(message) + + # Start new message + current_speaker = speaker + current_text_chunks = [text] if text.strip() else [] + current_start_time = start_time + current_end_time = end_time # Don't forget the last message if current_text_chunks: @@ -354,6 +368,7 @@ async def ingest_vtt_file( tags=[name, "vtt-transcript"], ) + semref_count_before = 0 if verbose: print( "Step 3: Building all indexes from messages and semantic refs..." diff --git a/typeagent/transcripts/transcript_import.py b/typeagent/transcripts/transcript_import.py index 9488d8d..a54a767 100644 --- a/typeagent/transcripts/transcript_import.py +++ b/typeagent/transcripts/transcript_import.py @@ -64,6 +64,46 @@ def extract_speaker_from_text(text: str) -> tuple[str | None, str]: return None, text +def parse_voice_tags(raw_text: str) -> list[tuple[str | None, str]]: + """ + Parse WebVTT voice tags from raw caption text. + + Returns a list of (speaker, text) tuples, one for each voice segment in the caption. + + WebVTT voice tags can be in the format: + - Text + - Text (no closing tag) + + Multiple voice tags can exist in a single caption, and this function extracts all of them. + + Args: + raw_text: Raw caption text that may contain tags + + Returns: + List of (speaker, text) tuples. If no voice tags found, returns [(None, raw_text)] + """ + # Pattern to match Text or Text + # Captures speaker name and the text that follows until the next tag or end + voice_pattern = r"]+)>([^<]*(?:)?)" + + matches = list(re.finditer(voice_pattern, raw_text, re.IGNORECASE)) + + if not matches: + # No voice tags found, return the text as-is with no speaker + return [(None, raw_text.strip())] + + results = [] + for match in matches: + speaker = match.group(1).strip() + text = match.group(2).strip() + # Remove closing tag if present + text = re.sub(r"\s*$", "", text, flags=re.IGNORECASE).strip() + if text: # Only add non-empty text + results.append((speaker, text)) + + return results if results else [(None, raw_text.strip())] + + async def import_vtt_transcript( vtt_file_path: str, settings: ConversationSettings, @@ -109,50 +149,57 @@ async def import_vtt_transcript( if not caption.text.strip(): continue - # Get speaker from webvtt voice attribute - speaker = getattr(caption, "voice", None) + # Parse raw text for voice tags (handles multiple speakers per cue) + raw_text = getattr(caption, "raw_text", caption.text) + voice_segments = parse_voice_tags(raw_text) - # Optionally fallback to text-based speaker detection - if speaker is None and use_text_based_speaker_detection: - # Fallback to text parsing for non-standard voice formats - speaker, text = extract_speaker_from_text(caption.text) - else: - # Use the cleaned text (voice tags already stripped by webvtt-py) - text = caption.text.strip() + # Optionally fallback to text-based speaker detection for segments without speaker + if use_text_based_speaker_detection: + processed_segments = [] + for speaker, text in voice_segments: + if speaker is None: + speaker, text = extract_speaker_from_text(text) + processed_segments.append((speaker, text)) + voice_segments = processed_segments # Convert WebVTT timestamps start_time = caption.start end_time = caption.end - # If we should merge consecutive captions from the same speaker - if ( - merge_consecutive_same_speaker - and speaker == current_speaker - and current_text_chunks - ): - # Merge with current message - current_text_chunks.append(text) - current_end_time = end_time # Update end time - else: - # Save previous message if it exists - if current_text_chunks: - combined_text = " ".join(current_text_chunks).strip() - if combined_text: # Only add non-empty messages - metadata = TranscriptMessageMeta( - speaker=current_speaker, - start_time=current_start_time, - end_time=current_end_time, - ) - message = TranscriptMessage( - text_chunks=[combined_text], metadata=metadata - ) - messages.append(message) - - # Start new message - current_speaker = speaker - current_text_chunks = [text] if text.strip() else [] - current_start_time = start_time - current_end_time = end_time + # Process each voice segment in this caption + for speaker, text in voice_segments: + if not text.strip(): + continue + + # If we should merge consecutive captions from the same speaker + if ( + merge_consecutive_same_speaker + and speaker == current_speaker + and current_text_chunks + ): + # Merge with current message + current_text_chunks.append(text) + current_end_time = end_time # Update end time + else: + # Save previous message if it exists + if current_text_chunks: + combined_text = " ".join(current_text_chunks).strip() + if combined_text: # Only add non-empty messages + metadata = TranscriptMessageMeta( + speaker=current_speaker, + start_time=current_start_time, + end_time=current_end_time, + ) + message = TranscriptMessage( + text_chunks=[combined_text], metadata=metadata + ) + messages.append(message) + + # Start new message + current_speaker = speaker + current_text_chunks = [text] if text.strip() else [] + current_start_time = start_time + current_end_time = end_time # Don't forget the last message if current_text_chunks: @@ -225,15 +272,21 @@ def get_transcript_speakers( speakers = set() for caption in vtt: - # Get speaker from webvtt voice attribute - speaker = getattr(caption, "voice", None) + # Parse raw text for voice tags (handles multiple speakers per cue) + raw_text = getattr(caption, "raw_text", caption.text) + voice_segments = parse_voice_tags(raw_text) # Optionally fallback to text-based speaker detection - if speaker is None and use_text_based_detection: - speaker, _ = extract_speaker_from_text(caption.text) - - if speaker: - speakers.add(speaker) + if use_text_based_detection: + for speaker, text in voice_segments: + if speaker is None: + speaker, _ = extract_speaker_from_text(text) + if speaker: + speakers.add(speaker) + else: + for speaker, _ in voice_segments: + if speaker: + speakers.add(speaker) return speakers From 7e0f9572effe41b28df9800b0efabeda1348991a Mon Sep 17 00:00:00 2001 From: Guido van Rossum Date: Thu, 2 Oct 2025 21:15:57 -0700 Subject: [PATCH 31/39] Attempts by Claude to add incremental ingestion. Doesn't work yet. --- test/test_incremental_index.py | 201 +++++++++++++++++++++ test/test_transcripts.py | 8 +- testdata/Parrot_Sketch.vtt | 0 tools/ingest_vtt.py | 10 - typeagent/storage/memory/semrefindex.py | 18 ++ typeagent/storage/sqlite/messageindex.py | 21 ++- typeagent/transcripts/transcript_import.py | 6 +- 7 files changed, 244 insertions(+), 20 deletions(-) create mode 100644 test/test_incremental_index.py mode change 100755 => 100644 testdata/Parrot_Sketch.vtt diff --git a/test/test_incremental_index.py b/test/test_incremental_index.py new file mode 100644 index 0000000..b19171c --- /dev/null +++ b/test/test_incremental_index.py @@ -0,0 +1,201 @@ +"""Test incremental index building.""" + +import os +import tempfile + +import pytest + +from typeagent.aitools.embeddings import AsyncEmbeddingModel, TEST_MODEL_NAME +from typeagent.knowpro.convsettings import ConversationSettings +from typeagent.storage.sqlite.provider import SqliteStorageProvider +from typeagent.transcripts.transcript import ( + Transcript, + TranscriptMessage, + TranscriptMessageMeta, +) +from typeagent.transcripts.transcript_import import import_vtt_transcript + + +@pytest.mark.asyncio +async def test_incremental_index_building(): + """Test that we can build indexes, add more messages, and rebuild indexes.""" + + # Create a temporary database + with tempfile.TemporaryDirectory() as tmpdir: + db_path = os.path.join(tmpdir, "test.db") + + # Create settings with test model (no API keys needed) + test_model = AsyncEmbeddingModel(model_name=TEST_MODEL_NAME) + settings = ConversationSettings(model=test_model) + settings.semantic_ref_index_settings.auto_extract_knowledge = False + + # First ingestion - add some messages and build index + print("\n=== First ingestion ===") + storage1 = SqliteStorageProvider( + db_path, + message_type=TranscriptMessage, + message_text_index_settings=settings.message_text_index_settings, + related_term_index_settings=settings.related_term_index_settings, + ) + settings.storage_provider = storage1 + transcript1 = await Transcript.create(settings, name_tag="test") + + # Add some messages + messages1 = [ + TranscriptMessage( + text_chunks=["Hello world"], + metadata=TranscriptMessageMeta(speaker="Alice"), + tags=["file1"], + ), + TranscriptMessage( + text_chunks=["Hi Alice"], + metadata=TranscriptMessageMeta(speaker="Bob"), + tags=["file1"], + ), + ] + for msg in messages1: + await transcript1.messages.append(msg) + + msg_count1 = await transcript1.messages.size() + print(f"Added {msg_count1} messages") + + # Build index + print("Building index for first time...") + await transcript1.build_index() + + ref_count1 = await transcript1.semantic_refs.size() + print(f"Created {ref_count1} semantic refs") + + # Close first connection + await storage1.close() + + # Second ingestion - add more messages and rebuild index + print("\n=== Second ingestion ===") + test_model2 = AsyncEmbeddingModel(model_name=TEST_MODEL_NAME) + settings2 = ConversationSettings(model=test_model2) + settings2.semantic_ref_index_settings.auto_extract_knowledge = False + storage2 = SqliteStorageProvider( + db_path, + message_type=TranscriptMessage, + message_text_index_settings=settings2.message_text_index_settings, + related_term_index_settings=settings2.related_term_index_settings, + ) + settings2.storage_provider = storage2 + transcript2 = await Transcript.create(settings2, name_tag="test") + + # Verify existing messages are there + msg_count_before = await transcript2.messages.size() + print(f"Database has {msg_count_before} existing messages") + assert msg_count_before == msg_count1 + + # Add more messages + messages2 = [ + TranscriptMessage( + text_chunks=["How are you?"], + metadata=TranscriptMessageMeta(speaker="Alice"), + tags=["file2"], + ), + TranscriptMessage( + text_chunks=["I'm good thanks"], + metadata=TranscriptMessageMeta(speaker="Bob"), + tags=["file2"], + ), + ] + for msg in messages2: + await transcript2.messages.append(msg) + + msg_count2 = await transcript2.messages.size() + print(f"Now have {msg_count2} messages total") + assert msg_count2 == msg_count_before + len(messages2) + + # Try to rebuild index - this should work incrementally + print("Rebuilding index...") + try: + await transcript2.build_index() + print("SUCCESS: Index rebuilt!") + + ref_count2 = await transcript2.semantic_refs.size() + print(f"Now have {ref_count2} semantic refs (was {ref_count1})") + + # We should have more refs now + assert ( + ref_count2 >= ref_count1 + ), "Should have at least as many refs as before" + + except Exception as e: + print(f"FAILED: {e}") + import traceback + + traceback.print_exc() + pytest.fail(f"Index building failed: {e}") + + finally: + await storage2.close() + + +@pytest.mark.asyncio +async def test_incremental_index_with_vtt_files(): + """Test incremental indexing with actual VTT files. + + This test verifies that we can: + 1. Import a VTT file and build indexes + 2. Import a second VTT file into the same database + 3. Rebuild indexes incrementally without errors or duplication + """ + with tempfile.TemporaryDirectory() as tmpdir: + db_path = os.path.join(tmpdir, "test.db") + + # Create settings with test model (no API keys needed) + test_model = AsyncEmbeddingModel(model_name=TEST_MODEL_NAME) + settings = ConversationSettings(model=test_model) + settings.semantic_ref_index_settings.auto_extract_knowledge = False + + # First VTT file import + print("\n=== Import first VTT file ===") + transcript1 = await import_vtt_transcript( + "testdata/Confuse-A-Cat.vtt", + settings, + dbname=db_path, + ) + msg_count1 = await transcript1.messages.size() + print(f"Imported {msg_count1} messages from Confuse-A-Cat.vtt") + + # Build index + await transcript1.build_index() + ref_count1 = await transcript1.semantic_refs.size() + print(f"Built index with {ref_count1} semantic refs") + + # Close the storage provider + storage1 = await settings.get_storage_provider() + await storage1.close() + + # Second VTT file import into same database + print("\n=== Import second VTT file ===") + settings2 = ConversationSettings( + model=AsyncEmbeddingModel(model_name=TEST_MODEL_NAME) + ) + settings2.semantic_ref_index_settings.auto_extract_knowledge = False + + # Import second file into same database - this should work now! + transcript2 = await import_vtt_transcript( + "testdata/Parrot_Sketch.vtt", + settings2, + dbname=db_path, + ) + msg_count2 = await transcript2.messages.size() + print(f"Now have {msg_count2} messages total") + assert msg_count2 > msg_count1, "Should have added more messages" + + # Rebuild index incrementally + print("Rebuilding index incrementally...") + await transcript2.build_index() + ref_count2 = await transcript2.semantic_refs.size() + print(f"Now have {ref_count2} semantic refs (was {ref_count1})") + + # Should have more refs from the additional messages + assert ( + ref_count2 > ref_count1 + ), "Should have more semantic refs after adding messages" + + storage2 = await settings2.get_storage_provider() + await storage2.close() diff --git a/test/test_transcripts.py b/test/test_transcripts.py index dc3c476..ac66212 100644 --- a/test/test_transcripts.py +++ b/test/test_transcripts.py @@ -228,7 +228,7 @@ async def test_transcript_creation(): @pytest.mark.asyncio -async def test_transcript_knowledge_extraction( +async def test_transcript_knowledge_extraction_slow( needs_auth: None, embedding_model: AsyncEmbeddingModel ): """ @@ -261,9 +261,9 @@ async def test_transcript_knowledge_extraction( # Create messages from first 5 captions messages_list = [] - for i, caption in enumerate(vtt): - if i >= 5: - break + # vtt is indexable but not iterable + for i in range(min(len(vtt), 5)): + caption = vtt[i] if not caption.text.strip(): continue diff --git a/testdata/Parrot_Sketch.vtt b/testdata/Parrot_Sketch.vtt old mode 100755 new mode 100644 diff --git a/tools/ingest_vtt.py b/tools/ingest_vtt.py index 05212af..77cac2a 100644 --- a/tools/ingest_vtt.py +++ b/tools/ingest_vtt.py @@ -334,16 +334,6 @@ async def ingest_vtt_file( if verbose: print("\nBuilding indexes...") - # Clear any auto-generated indexes that were created during message insertion - # The message collection automatically builds MessageTextIndex when messages are added - # We need to clear it so build_index() can rebuild it properly - if isinstance(storage_provider, SqliteStorageProvider): - cursor = storage_provider.db.cursor() - cursor.execute("DELETE FROM MessageTextIndex") - storage_provider.db.commit() - if verbose: - print("Cleared auto-generated message text index") - if verbose: print("Step 2: Extracting knowledge (semantic refs)...") try: diff --git a/typeagent/storage/memory/semrefindex.py b/typeagent/storage/memory/semrefindex.py index 6217d47..08ac618 100644 --- a/typeagent/storage/memory/semrefindex.py +++ b/typeagent/storage/memory/semrefindex.py @@ -490,8 +490,23 @@ async def add_metadata_to_index[TMessage: IMessage]( semantic_ref_index: ITermToSemanticRefIndex, knowledge_validator: KnowledgeValidator | None = None, ) -> None: + # Find the highest message ordinal already processed + # by checking existing semantic refs + start_from_ordinal = 0 + existing_ref_count = await semantic_refs.size() + if existing_ref_count > 0: + # Get the last semantic ref to find the highest processed message ordinal + last_ref = await semantic_refs.get_item(existing_ref_count - 1) + if last_ref.range and last_ref.range.start: + start_from_ordinal = last_ref.range.start.message_ordinal + 1 + i = 0 async for msg in messages: + # Skip messages that were already processed + if i < start_from_ordinal: + i += 1 + continue + knowledge_response = msg.get_knowledge() for entity in knowledge_response.entities: if knowledge_validator is None or knowledge_validator("entity", entity): @@ -611,6 +626,9 @@ async def build_semantic_ref_index[TM: IMessage]( conversation: IConversation[TM, ITermToSemanticRefIndex], settings: SemanticRefIndexSettings, ) -> None: + # For LLM-based knowledge extraction, we need to track separately from metadata extraction + # For now, always start from 0 to process all messages + # TODO: Implement proper tracking of which messages have had LLM extraction await add_to_semantic_ref_index(conversation, settings, 0) diff --git a/typeagent/storage/sqlite/messageindex.py b/typeagent/storage/sqlite/messageindex.py index c3f21a9..b27af67 100644 --- a/typeagent/storage/sqlite/messageindex.py +++ b/typeagent/storage/sqlite/messageindex.py @@ -96,10 +96,23 @@ async def add_messages( if not message_list: return - # Get the current collection size to determine starting ordinal - start_ordinal = await self.size() - - await self.add_messages_starting_at(start_ordinal, message_list) + # Check which messages are already indexed + # Get the highest msg_id that's already in the index + cursor = self.db.cursor() + cursor.execute("SELECT MAX(msg_id) FROM MessageTextIndex") + result = cursor.fetchone()[0] + + if result is None: + # Index is empty, add all messages starting at 0 + start_ordinal = 0 + else: + # Index has some entries, only add messages after the highest indexed msg_id + start_ordinal = result + 1 + + # Only add messages that aren't already indexed + if start_ordinal < len(message_list): + messages_to_add = message_list[start_ordinal:] + await self.add_messages_starting_at(start_ordinal, messages_to_add) async def rebuild_from_all_messages(self) -> None: """Rebuild the entire message text index from all messages in the collection.""" diff --git a/typeagent/transcripts/transcript_import.py b/typeagent/transcripts/transcript_import.py index a54a767..cae9b61 100644 --- a/typeagent/transcripts/transcript_import.py +++ b/typeagent/transcripts/transcript_import.py @@ -220,11 +220,13 @@ async def import_vtt_transcript( dbname, TranscriptMessage, ) + # Attach provider to settings to prevent garbage collection + settings.storage_provider = provider + msg_coll = await provider.get_message_collection() semref_coll = await provider.get_semantic_ref_collection() - if await msg_coll.size() or await semref_coll.size(): - raise RuntimeError(f"{dbname!r} already has messages or semantic refs.") + # Append new messages to existing collection (supports incremental import) await msg_coll.extend(messages) # Create transcript From 1382c7cc03eefc9ea58ac9c21c262c037d5886bf Mon Sep 17 00:00:00 2001 From: Guido van Rossum Date: Fri, 3 Oct 2025 12:30:49 -0700 Subject: [PATCH 32/39] Fix ingest_vtt.py: ingest multiple files; show progres Also rename utool.py's --sqlite-db argument to -d/--database. --- tools/ingest_vtt.py | 481 +++++++++++++++++++++++++++----------------- tools/utool.py | 9 +- 2 files changed, 303 insertions(+), 187 deletions(-) diff --git a/tools/ingest_vtt.py b/tools/ingest_vtt.py index 77cac2a..05ee9c3 100644 --- a/tools/ingest_vtt.py +++ b/tools/ingest_vtt.py @@ -24,6 +24,7 @@ import asyncio import os import sys +import time from pathlib import Path import webvtt @@ -45,6 +46,9 @@ ) from typeagent.knowpro.convsettings import ConversationSettings from typeagent.knowpro.interfaces import Datetime +from typeagent.knowpro import convknowledge +from typeagent.knowpro.messageutils import get_message_chunk_batch +from typeagent.storage.memory import semrefindex def create_arg_parser() -> argparse.ArgumentParser: @@ -55,12 +59,16 @@ def create_arg_parser() -> argparse.ArgumentParser: epilog=""" Examples: %(prog)s input.vtt --database transcript.db - %(prog)s meeting.vtt -d meeting.db --name "Team Meeting" + %(prog)s file1.vtt file2.vtt -d transcript.db --name "Combined Transcript" %(prog)s lecture.vtt -d lecture.db --start-date "2024-10-01T09:00:00" """, ) - parser.add_argument("vtt_file", help="Path to the WebVTT (.vtt) file to ingest") + parser.add_argument( + "vtt_files", + nargs="+", + help="Path to one or more WebVTT (.vtt) files to ingest", + ) parser.add_argument( "-d", @@ -93,75 +101,105 @@ def create_arg_parser() -> argparse.ArgumentParser: "By default, only WebVTT voice tags are used for speaker detection.", ) - parser.add_argument( - "--build-index", - action="store_true", - help="Build search indexes after ingestion (slower but enables full search)", - ) - parser.add_argument( "-v", "--verbose", action="store_true", help="Show verbose output" ) - parser.add_argument( - "--overwrite", - action="store_true", - help="Overwrite existing database if it exists", - ) - return parser -async def ingest_vtt_file( - vtt_file: str, +def vtt_timestamp_to_seconds(timestamp: str) -> float: + """Convert VTT timestamp (HH:MM:SS.mmm) to seconds. + + Args: + timestamp: VTT timestamp string + + Returns: + Time in seconds as float + """ + parts = timestamp.split(":") + hours = int(parts[0]) + minutes = int(parts[1]) + seconds = float(parts[2]) + return hours * 3600 + minutes * 60 + seconds + + +def seconds_to_vtt_timestamp(seconds: float) -> str: + """Convert seconds to VTT timestamp format (HH:MM:SS.mmm). + + Args: + seconds: Time in seconds + + Returns: + VTT timestamp string + """ + hours = int(seconds // 3600) + minutes = int((seconds % 3600) // 60) + secs = seconds % 60 + return f"{hours:02d}:{minutes:02d}:{secs:06.3f}" + + +async def ingest_vtt_files( + vtt_files: list[str], database: str, name: str | None = None, start_date: str | None = None, merge_consecutive: bool = True, use_text_speaker_detection: bool = False, - build_index: bool = False, verbose: bool = False, - overwrite: bool = False, ) -> None: - """Ingest a VTT file into a database.""" + """Ingest one or more VTT files into a database.""" - # Validate input file - if not os.path.exists(vtt_file): - print(f"Error: VTT file '{vtt_file}' not found", file=sys.stderr) - sys.exit(1) + # Validate input files + for vtt_file in vtt_files: + if not os.path.exists(vtt_file): + print(f"Error: VTT file '{vtt_file}' not found", file=sys.stderr) + sys.exit(1) - # Check if database already exists - if os.path.exists(database) and not overwrite: + # Database must not exist (ensure clean start) + if os.path.exists(database): print( - f"Error: Database '{database}' already exists. Use --overwrite to replace it.", + f"Error: Database '{database}' already exists. Please remove it first or use a different filename.", file=sys.stderr, ) sys.exit(1) - # Remove existing database if overwriting - if overwrite and os.path.exists(database): - os.remove(database) - if verbose: - print(f"Removed existing database: {database}") - if verbose: - print(f"Ingesting VTT file: {vtt_file}") + print(f"Ingesting {len(vtt_files)} VTT file(s):") + for vtt_file in vtt_files: + print(f" - {vtt_file}") print(f"Target database: {database}") - # Analyze the VTT file + # Analyze all VTT files + if verbose: + print("\nAnalyzing VTT files...") try: - duration = get_transcript_duration(vtt_file) - speakers = get_transcript_speakers( - vtt_file, use_text_based_detection=use_text_speaker_detection - ) + total_duration = 0.0 + all_speakers = set() + for vtt_file in vtt_files: + duration = get_transcript_duration(vtt_file) + speakers = get_transcript_speakers( + vtt_file, use_text_based_detection=use_text_speaker_detection + ) + total_duration += duration + all_speakers.update(speakers) + + if verbose: + print(f" {vtt_file}:") + print( + f" Duration: {duration:.2f} seconds ({duration/60:.2f} minutes)" + ) + print(f" Speakers: {speakers if speakers else 'None detected'}") if verbose: - print(f"Duration: {duration:.2f} seconds ({duration/60:.2f} minutes)") print( - f"Speakers found: {len(speakers)} ({speakers if speakers else 'None detected'})" + f"\nTotal duration: {total_duration:.2f} seconds ({total_duration/60:.2f} minutes)" + ) + print( + f"All speakers: {len(all_speakers)} ({all_speakers if all_speakers else 'None detected'})" ) except Exception as e: - print(f"Error analyzing VTT file: {e}", file=sys.stderr) + print(f"Error analyzing VTT files: {e}", file=sys.stderr) sys.exit(1) # Load environment for API access @@ -207,195 +245,273 @@ async def ingest_vtt_file( # Determine transcript name if not name: - name = Path(vtt_file).stem + if len(vtt_files) == 1: + name = Path(vtt_files[0]).stem + else: + name = "combined-transcript" - # Import the transcript + # Import the transcripts if verbose: - print(f"Parsing VTT file and creating messages...") + print(f"\nParsing VTT files and creating messages...") try: # Get collections from our storage provider msg_coll = await storage_provider.get_message_collection() semref_coll = await storage_provider.get_semantic_ref_collection() - # Step 0: Make sure tables are empty + # Database should be empty (we checked it doesn't exist earlier) + # But verify collections are empty just in case if await msg_coll.size() or await semref_coll.size(): print( - f"Error: Database already has data. Use --overwrite to replace.", + f"Error: Database already has data.", file=sys.stderr, ) sys.exit(1) - # Step 1: Parse VTT and insert messages into Messages table (once!) - # Parse the VTT file directly instead of using import_vtt_transcript - # to avoid creating a temporary storage provider - - try: - vtt = webvtt.read(vtt_file) - except Exception as e: - print(f"Error: Failed to parse VTT file: {e}", file=sys.stderr) - sys.exit(1) + # Process all VTT files and collect messages + all_messages: list[TranscriptMessage] = [] + time_offset = 0.0 # Cumulative time offset for multiple files - messages: list[TranscriptMessage] = [] - current_speaker = None - current_text_chunks = [] - current_start_time = None - current_end_time = None + for file_idx, vtt_file in enumerate(vtt_files): + if verbose: + print(f" Processing {vtt_file}...") + if file_idx > 0: + print(f" Time offset: {time_offset:.2f} seconds") - for caption in vtt: - # Skip empty captions - if not caption.text.strip(): - continue + # Parse VTT file + try: + vtt = webvtt.read(vtt_file) + except Exception as e: + print( + f"Error: Failed to parse VTT file {vtt_file}: {e}", file=sys.stderr + ) + sys.exit(1) - # Parse raw text for voice tags (handles multiple speakers per cue) - raw_text = getattr(caption, "raw_text", caption.text) - voice_segments = parse_voice_tags(raw_text) + current_speaker = None + current_text_chunks = [] + current_start_time = None + current_end_time = None + file_max_end_time = 0.0 # Track the maximum end time in this file - # Optionally fallback to text-based speaker detection for segments without speaker - if use_text_speaker_detection: - processed_segments = [] - for speaker, text in voice_segments: - if speaker is None: - speaker, text = extract_speaker_from_text(text) - processed_segments.append((speaker, text)) - voice_segments = processed_segments - - # Convert WebVTT timestamps - start_time = caption.start - end_time = caption.end - - # Process each voice segment in this caption - for speaker, text in voice_segments: - if not text.strip(): + for caption in vtt: + # Skip empty captions + if not caption.text.strip(): continue - # If we should merge consecutive captions from the same speaker - if ( - merge_consecutive - and speaker == current_speaker - and current_text_chunks - ): - # Merge with current message - current_text_chunks.append(text) - current_end_time = end_time - else: - # Save previous message if it exists - if current_text_chunks: - combined_text = " ".join(current_text_chunks).strip() - if combined_text: - metadata = TranscriptMessageMeta( - speaker=current_speaker, - start_time=current_start_time, - end_time=current_end_time, - ) - message = TranscriptMessage( - text_chunks=[combined_text], metadata=metadata - ) - messages.append(message) - - # Start new message - current_speaker = speaker - current_text_chunks = [text] if text.strip() else [] - current_start_time = start_time - current_end_time = end_time - - # Don't forget the last message - if current_text_chunks: - combined_text = " ".join(current_text_chunks).strip() - if combined_text: - metadata = TranscriptMessageMeta( - speaker=current_speaker, - start_time=current_start_time, - end_time=current_end_time, - ) - message = TranscriptMessage( - text_chunks=[combined_text], metadata=metadata + # Parse raw text for voice tags (handles multiple speakers per cue) + raw_text = getattr(caption, "raw_text", caption.text) + voice_segments = parse_voice_tags(raw_text) + + # Optionally fallback to text-based speaker detection for segments without speaker + if use_text_speaker_detection: + processed_segments = [] + for speaker, text in voice_segments: + if speaker is None: + speaker, text = extract_speaker_from_text(text) + processed_segments.append((speaker, text)) + voice_segments = processed_segments + + # Convert WebVTT timestamps and apply offset for multi-file continuity + start_time_seconds = ( + vtt_timestamp_to_seconds(caption.start) + time_offset ) - messages.append(message) + end_time_seconds = vtt_timestamp_to_seconds(caption.end) + time_offset + start_time = seconds_to_vtt_timestamp(start_time_seconds) + end_time = seconds_to_vtt_timestamp(end_time_seconds) - # Add messages to the database (once!) + # Track the maximum end time for this file + if end_time_seconds > file_max_end_time: + file_max_end_time = end_time_seconds + + # Process each voice segment in this caption + for speaker, text in voice_segments: + if not text.strip(): + continue + + # If we should merge consecutive captions from the same speaker + if ( + merge_consecutive + and speaker == current_speaker + and current_text_chunks + ): + # Merge with current message + current_text_chunks.append(text) + current_end_time = end_time + else: + # Save previous message if it exists + if current_text_chunks: + combined_text = " ".join(current_text_chunks).strip() + if combined_text: + metadata = TranscriptMessageMeta( + speaker=current_speaker, + start_time=current_start_time, + end_time=current_end_time, + ) + message = TranscriptMessage( + text_chunks=[combined_text], metadata=metadata + ) + all_messages.append(message) + + # Start new message + current_speaker = speaker + current_text_chunks = [text] if text.strip() else [] + current_start_time = start_time + current_end_time = end_time + + # Don't forget the last message from this file + if current_text_chunks: + combined_text = " ".join(current_text_chunks).strip() + if combined_text: + metadata = TranscriptMessageMeta( + speaker=current_speaker, + start_time=current_start_time, + end_time=current_end_time, + ) + message = TranscriptMessage( + text_chunks=[combined_text], metadata=metadata + ) + all_messages.append(message) + + if verbose: + print(f" Extracted {len(all_messages)} messages so far") + if file_max_end_time > 0: + print( + f" File time range: 0.00s to {file_max_end_time - time_offset:.2f}s (with offset: {time_offset:.2f}s to {file_max_end_time:.2f}s)" + ) + + # Update time offset for next file: add 5 seconds gap + if file_max_end_time > 0: + time_offset = file_max_end_time + 5.0 + + # Add all messages to the database if verbose: - print(f"Adding {len(messages)} messages to database...") - await msg_coll.extend(messages) + print(f"\nAdding {len(all_messages)} total messages to database...") + await msg_coll.extend(all_messages) message_count = await msg_coll.size() if verbose: print(f"Successfully added {message_count} messages") else: - print(f"Imported {message_count} messages to {database}") + print( + f"Imported {message_count} messages from {len(vtt_files)} file(s) to {database}" + ) - # Commit the transaction to ensure messages are saved - if isinstance(storage_provider, SqliteStorageProvider): - storage_provider.db.commit() - if verbose: - print("Messages committed to database") + # Build all indexes (always) + if verbose: + print("\nBuilding indexes...") + print(" Extracting knowledge (semantic refs)...") + + try: + # Enable knowledge extraction for index building + settings.semantic_ref_index_settings.auto_extract_knowledge = True - # Steps 2 & 3: Extract knowledge and build all indexes - if build_index: if verbose: - print("\nBuilding indexes...") + print( + f" auto_extract_knowledge = {settings.semantic_ref_index_settings.auto_extract_knowledge}" + ) + print( + f" batch_size = {settings.semantic_ref_index_settings.batch_size}" + ) + # Create a Transcript object to build indexes + transcript = await Transcript.create( + settings, + name_tag=name, + messages=msg_coll, + semantic_refs=semref_coll, + tags=[name, "vtt-transcript"], + ) + + semref_count_before = 0 if verbose: - print("Step 2: Extracting knowledge (semantic refs)...") - try: - # Enable knowledge extraction for index building - settings.semantic_ref_index_settings.auto_extract_knowledge = True + print(" Building all indexes from messages and semantic refs...") + semref_count_before = await semref_coll.size() + print(f" Semantic refs before: {semref_count_before}") + + # Extract knowledge with progress reporting + knowledge_extractor = convknowledge.KnowledgeExtractor() + batch_size = settings.semantic_ref_index_settings.batch_size + + # Get all batches + batches = await get_message_chunk_batch( + transcript.messages, + 0, # Start from beginning + batch_size, + ) - if verbose: - print( - f" auto_extract_knowledge = {settings.semantic_ref_index_settings.auto_extract_knowledge}" - ) - print( - f" batch_size = {settings.semantic_ref_index_settings.batch_size}" - ) + total_batches = len(batches) + messages_processed = 0 + last_report_time = time.time() - # Create a Transcript object to build indexes - # Messages and semrefs are already in the database - transcript = await Transcript.create( - settings, - name_tag=name, - messages=msg_coll, - semantic_refs=semref_coll, - tags=[name, "vtt-transcript"], + print(f" Processing {total_batches} batches (batch size: {batch_size})...") + + for batch_idx, batch in enumerate(batches): + batch_start = time.time() + + # Process this batch + await semrefindex.add_batch_to_semantic_ref_index( + transcript, + batch, + knowledge_extractor, + None, # terms_added ) - semref_count_before = 0 - if verbose: + messages_processed += len(batch) + batch_time = time.time() - batch_start + + # Print progress every 10 messages (approximately) + if messages_processed % 10 == 0 or batch_idx == total_batches - 1: + semref_count = await semref_coll.size() + elapsed = time.time() - last_report_time print( - "Step 3: Building all indexes from messages and semantic refs..." + f" {messages_processed}/{await transcript.messages.size()} chunks | " + f"{semref_count} refs | " + f"{batch_time:.1f}s/batch | " + f"{elapsed:.1f}s elapsed" ) - semref_count_before = await semref_coll.size() - print(f" Semantic refs before build_index: {semref_count_before}") + last_report_time = time.time() + + # Build remaining indexes (metadata-based semantic refs, secondary indexes, etc.) + await transcript.add_metadata_to_index() + if transcript.secondary_indexes is not None: + # Build secondary indexes (message text index, related terms, etc.) + from typeagent.knowpro import secindex - # Build the full index (extracts knowledge, builds semantic ref index, message text index, etc.) - await transcript.build_index() + await secindex.build_secondary_indexes(transcript, settings) - # Commit all the index data - if isinstance(storage_provider, SqliteStorageProvider): - storage_provider.db.commit() + if verbose: + semref_count = await semref_coll.size() + print(f" Semantic refs after: {semref_count}") + print( + f" Extracted {semref_count - semref_count_before} new semantic references" + ) + # Commit everything only after successful indexing + if isinstance(storage_provider, SqliteStorageProvider): + storage_provider.db.commit() if verbose: - semref_count = await semref_coll.size() - print(f" Semantic refs after build_index: {semref_count}") - print( - f"\nExtracted {semref_count - semref_count_before} new semantic references" - ) - print("All indexes built successfully") - except Exception as e: - print(f"\nError: Failed to build search indexes: {e}", file=sys.stderr) - import traceback + print("\nAll data committed to database") - traceback.print_exc() - sys.exit(1) + print("All indexes built successfully") + + except Exception as e: + print(f"\nError: Failed to build search indexes: {e}", file=sys.stderr) + import traceback + + traceback.print_exc() + sys.exit(1) except Exception as e: - print(f"Error importing transcript: {e}", file=sys.stderr) + print(f"Error importing transcripts: {e}", file=sys.stderr) + import traceback + + traceback.print_exc() sys.exit(1) # Show usage information print() print("To query the transcript, use:") print( - f" python tools/utool.py --sqlite-db '{database}' --question 'Your question here'" + f" python tools/utool.py --database '{database}' --question 'Your question here'" ) @@ -406,15 +522,14 @@ def main(): # Run the ingestion asyncio.run( - ingest_vtt_file( - vtt_file=args.vtt_file, + ingest_vtt_files( + vtt_files=args.vtt_files, database=args.database, name=args.name, start_date=args.start_date, merge_consecutive=not args.no_merge, - build_index=args.build_index, + use_text_speaker_detection=args.use_text_speaker_detection, verbose=args.verbose, - overwrite=args.overwrite, ) ) diff --git a/tools/utool.py b/tools/utool.py index 0bb8142..b68b64a 100644 --- a/tools/utool.py +++ b/tools/utool.py @@ -130,11 +130,11 @@ async def main(): settings.storage_provider = await create_storage_provider( settings.message_text_index_settings, settings.related_term_index_settings, - args.sqlite_db, + args.database, podcast.PodcastMessage, ) query_context = await load_podcast_index( - args.podcast, settings, args.sqlite_db, args.verbose + args.podcast, settings, args.database, args.verbose ) ar_list, ar_index = load_index_file( @@ -524,10 +524,11 @@ def make_arg_parser(description: str) -> argparse.ArgumentParser: help="List of comma-separated questions to skip", ) parser.add_argument( - "--sqlite-db", + "-d", + "--database", type=str, default=None, - help="Path to the SQLite database file (default: no SQLite)", + help="Path to the SQLite database file (default: in-memory)", ) parser.add_argument( "--question", From 14c54022a0110eea24b5a235092423bf5898cb7e Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Sat, 4 Oct 2025 12:06:58 -0700 Subject: [PATCH 33/39] Add message content when typechat returns an error --- typeagent/knowpro/convknowledge.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/typeagent/knowpro/convknowledge.py b/typeagent/knowpro/convknowledge.py index 6c486c5..a2b3415 100644 --- a/typeagent/knowpro/convknowledge.py +++ b/typeagent/knowpro/convknowledge.py @@ -75,6 +75,8 @@ async def extract(self, message: str) -> typechat.Result[kplib.KnowledgeResponse if isinstance(result, typechat.Success): if self.merge_action_knowledge: self.merge_action_knowledge_into_response(result.value) + else: + result.message += f" -- MESSAGE={message!r}" return result def create_translator( From 8bf47e999c99c6c673516033231d50742de7eb97 Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Sat, 4 Oct 2025 12:07:59 -0700 Subject: [PATCH 34/39] ingest_vtt.py: Add --batchsize; add more verbose messages --- tools/ingest_vtt.py | 59 +++++++++++++++++++++++++++------------------ 1 file changed, 35 insertions(+), 24 deletions(-) diff --git a/tools/ingest_vtt.py b/tools/ingest_vtt.py index 05ee9c3..33dab50 100644 --- a/tools/ingest_vtt.py +++ b/tools/ingest_vtt.py @@ -1,4 +1,7 @@ #!/usr/bin/env python3 +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. + """ VTT Transcript Ingestion Tool @@ -7,17 +10,7 @@ Usage: python tools/ingest_vtt.py input.vtt --database transcript.db - pyt await ingest_vtt_file( - args.vtt_file, - args.database, - name=args.name, - start_date=args.start_date, - merge_consecutive=not args.no_merge, - use_text_speaker_detection=args.use_text_speaker_detection, - build_index=args.build_index, - verbose=args.verbose, - overwrite=args.overwrite, - )utool.py --sqlite-db transcript.db --question "What was discussed?" + python utool.py --database transcript.db --query "What was discussed?" """ import argparse @@ -101,6 +94,13 @@ def create_arg_parser() -> argparse.ArgumentParser: "By default, only WebVTT voice tags are used for speaker detection.", ) + parser.add_argument( + "--batchsize", + type=int, + default=None, + help="Batch size for knowledge extraction (default: from settings)", + ) + parser.add_argument( "-v", "--verbose", action="store_true", help="Show verbose output" ) @@ -147,6 +147,7 @@ async def ingest_vtt_files( merge_consecutive: bool = True, use_text_speaker_detection: bool = False, verbose: bool = False, + batchsize: int | None = None, ) -> None: """Ingest one or more VTT files into a database.""" @@ -225,6 +226,10 @@ async def ingest_vtt_files( # Update settings to use our storage provider settings.storage_provider = storage_provider + # Override batch size if specified + if batchsize is not None: + settings.semantic_ref_index_settings.batch_size = batchsize + if verbose: print("Settings and storage provider configured") except Exception as e: @@ -440,11 +445,11 @@ async def ingest_vtt_files( total_batches = len(batches) messages_processed = 0 - last_report_time = time.time() + start_time = time.time() print(f" Processing {total_batches} batches (batch size: {batch_size})...") - for batch_idx, batch in enumerate(batches): + for batch in batches: batch_start = time.time() # Process this batch @@ -458,22 +463,27 @@ async def ingest_vtt_files( messages_processed += len(batch) batch_time = time.time() - batch_start - # Print progress every 10 messages (approximately) - if messages_processed % 10 == 0 or batch_idx == total_batches - 1: - semref_count = await semref_coll.size() - elapsed = time.time() - last_report_time - print( - f" {messages_processed}/{await transcript.messages.size()} chunks | " - f"{semref_count} refs | " - f"{batch_time:.1f}s/batch | " - f"{elapsed:.1f}s elapsed" - ) - last_report_time = time.time() + # Print progress after each batch + semref_count = await semref_coll.size() + elapsed = time.time() - start_time + print( + f" {messages_processed}/{await transcript.messages.size()} chunks | " + f"{semref_count} refs | " + f"{batch_time:.1f}s/batch | " + f"{elapsed:.1f}s elapsed" + ) # Build remaining indexes (metadata-based semantic refs, secondary indexes, etc.) + if verbose: + print(" Building metadata-based semantic refs...") await transcript.add_metadata_to_index() + if transcript.secondary_indexes is not None: # Build secondary indexes (message text index, related terms, etc.) + if verbose: + print( + " Building secondary indexes (message text, related terms, etc.)..." + ) from typeagent.knowpro import secindex await secindex.build_secondary_indexes(transcript, settings) @@ -529,6 +539,7 @@ def main(): start_date=args.start_date, merge_consecutive=not args.no_merge, use_text_speaker_detection=args.use_text_speaker_detection, + batchsize=args.batchsize, verbose=args.verbose, ) ) From 756a7c1cf2d22e9fe36bf3ed5791810d2e307df9 Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Sat, 4 Oct 2025 12:21:03 -0700 Subject: [PATCH 35/39] Add GMail extraction script (thanks to GPT-5) --- TADA.md | 31 ++++---- gmail/.gitignore | 3 + gmail/gmail_dump.py | 29 +++++++ pyproject.toml | 3 + uv.lock | 188 ++++++++++++++++++++++++++++++++++++++++++++ 5 files changed, 237 insertions(+), 17 deletions(-) create mode 100644 gmail/.gitignore create mode 100644 gmail/gmail_dump.py diff --git a/TADA.md b/TADA.md index 7a2035e..0114ab5 100644 --- a/TADA.md +++ b/TADA.md @@ -5,26 +5,24 @@ Talk at PyBay is on Sat, Oct 18 in SF ## Software - Design and implement high-level API to support ingestion and querying -- Unify Podcast and VTT ingestion (use shared message and metadata classes) -- Code structure (does podcasts need to be under typeagent?) -- Add transactions to ingestion APIs? Or just one commit at the end? +- Unify Podcast and VTT ingestion (use shared message and metadata classes)? +- Code structure (do podcasts and transcripts need to be under typeagent?)? - Move to typeagent-py repo - Rename PyPI package name to typeagent +- Distinguish between release deps and build/dev deps? ### Specifically for VTT import: -#### MAJOR +#### MAJOR (must do before talk) -- Make build-indexes the default (and unchangeable). +- None -### Minor +### Minor (can do without) -- Add progress report to knowledge extraction in ingest_vtt.py. -- `get_transcript_speakers` and `get_transcript_duration` should not re-parse the transcript -- they should just take the parsed vtt object. +- Reduce duplication between ingest_vtt.py and typeagent/transcripts/ - Why add speaker detection? Doesn't WebVTT support ``? In fact things like `[MUSIC]` are used as stage directions, not for the speaker. -- Example code in README.md uses top-level `await` (which Python does not support directly) - Change 'import' to 'ingest' in file/class/function/comment (etc.) when it comes to entering data into the database; import is too ambiguous -- Do we need the `start_date` parameter? Isn't that in the `.vtt` file? +- `get_transcript_speakers` and `get_transcript_duration` should not re-parse the transcript -- they should just take the parsed vtt object. ### Not doing: @@ -47,21 +45,20 @@ Talk at PyBay is on Sat, Oct 18 in SF ## Demos -- Podcast demo (done) -- Different podcast? -- VTT (Python Documentary?) +- Adrian Tchaikovsky Podcast: ready +- Monty Python Episode: almost ready - Documents demo (doesn't look so easy) -- Rob: Monty Python movie script (Rob will track down scripts) -- Email demo?! Maybe Umesh can help?? (Umesh thinks may be too complex) +- Email demo: Umesh has almost working prototype ## Talk -- Re-read abstract to discover essential points (done) - Write slides - Make a pretty design for slides? - Practice in private, timing, updating slides as needed - Practice run for the team? -- Anticipate questions about (Lazy) GraphRAG +- Anticipate questions about (Lazy) GraphRAG? + The answer is we give equiv/better results without waiting minutes for + reindexing [in theory] # Appendix diff --git a/gmail/.gitignore b/gmail/.gitignore new file mode 100644 index 0000000..f74f2f5 --- /dev/null +++ b/gmail/.gitignore @@ -0,0 +1,3 @@ +client_secret.json +token.json +mail_dump/ diff --git a/gmail/gmail_dump.py b/gmail/gmail_dump.py new file mode 100644 index 0000000..2a52bb2 --- /dev/null +++ b/gmail/gmail_dump.py @@ -0,0 +1,29 @@ +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. + +from pathlib import Path +from base64 import urlsafe_b64decode as b64d +from google_auth_oauthlib.flow import InstalledAppFlow +from googleapiclient.discovery import build +from google.oauth2.credentials import Credentials + +SCOPES = ["https://www.googleapis.com/auth/gmail.readonly"] +CREDS = "client_secret.json" +TOKEN = Path("token.json") +OUT = Path("mail_dump"); OUT.mkdir(exist_ok=True) + +def get_creds(): + if TOKEN.exists(): + return Credentials.from_authorized_user_file(TOKEN, SCOPES) + flow = InstalledAppFlow.from_client_secrets_file(CREDS, SCOPES) + creds = flow.run_local_server(port=0) + TOKEN.write_text(creds.to_json()) + return creds + +svc = build("gmail", "v1", credentials=get_creds()) + +resp = svc.users().messages().list(userId="me", maxResults=50, q="").execute() +for m in resp.get("messages", []): + raw = svc.users().messages().get(userId="me", id=m["id"], format="raw").execute()["raw"] + Path(OUT / f"{m['id']}.eml").write_bytes(b64d(raw.encode())) +print("Done.") diff --git a/pyproject.toml b/pyproject.toml index 3c94a69..4689ab2 100644 --- 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[[package]] name = "urllib3" version = "2.5.0" From ef2e7ad8f0b5e27252db302624ba5bd0a2f386b1 Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Sat, 4 Oct 2025 12:29:33 -0700 Subject: [PATCH 36/39] Bump version to 0.1.8 --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 4689ab2..9adc12c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "typeagent-py" -version = "0.1.7" +version = "0.1.8" description = "TypeAgent implements an agentic memory framework." readme = { file = "README.md", content-type = "text/markdown" } authors = [ From 6fd61185d588f7c252afb591329395f6bea450e9 Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Sat, 4 Oct 2025 12:41:40 -0700 Subject: [PATCH 37/39] Ignore 'db' and testdata/MP --- .gitignore | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.gitignore b/.gitignore index df3d469..42734b4 100644 --- a/.gitignore +++ b/.gitignore @@ -8,3 +8,5 @@ venv /evals /junk __pycache__ +testdata/MP/ +db From acb824be4169ac2fa4b81d53f6d11e3bd768b9ca Mon Sep 17 00:00:00 2001 From: gvanrossum-ms Date: Sat, 4 Oct 2025 12:47:24 -0700 Subject: [PATCH 38/39] Add copyright header to test/test_incremental_index.py --- test/test_incremental_index.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/test/test_incremental_index.py b/test/test_incremental_index.py index b19171c..d33f75f 100644 --- a/test/test_incremental_index.py +++ b/test/test_incremental_index.py @@ -1,3 +1,6 @@ +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. + """Test incremental index building.""" import os From 06e2f0ace5e34ddf9ce839ae814b591dc5a229f2 Mon Sep 17 00:00:00 2001 From: Guido van Rossum Date: Sun, 5 Oct 2025 19:04:09 -0700 Subject: [PATCH 39/39] Move instructions to AGENTS.md --- .github/copilot-instructions.md | 193 -------------------------------- AGENTS.md | 102 +++++++++++++++++ 2 files changed, 102 insertions(+), 193 deletions(-) delete mode 100644 .github/copilot-instructions.md create mode 100644 AGENTS.md diff --git a/.github/copilot-instructions.md b/.github/copilot-instructions.md deleted file mode 100644 index 999a4d8..0000000 --- a/.github/copilot-instructions.md +++ /dev/null @@ -1,193 +0,0 @@ -# TypeAgent Python - AI Coding Agent Instructions - -## Project Overview - -This is the **Python implementation of TypeAgent's Structured RAG** system - an experimental prototype exploring human-like memory with super-human precision for AI agents. The codebase is a Pythonic translation of the TypeScript `knowPro` packages, implementing a new approach to RAG that extracts structured information rather than relying solely on embeddings. - -## Architecture Components - -### Core Libraries (`typeagent/`) -- **`knowpro/`** - Structured RAG implementation with semantic ref indexing, query processing, and answer generation -- **`aitools/`** - Azure/OpenAI integration, embeddings, and vector storage -- **`storage/`** - SQLite-based storage providers for persistent conversation data -- **`mcp/`** - Model Context Protocol server implementation -- **`pydai/`** - Query schemas and structured prompting interfaces - -### Key Workflow: 4-Stage Query Pipeline -The system processes queries through a standardized pipeline implemented in `tools/utool.py`: - -1. **Stage 1**: Natural language → `SearchQuery` schema (via TypeChat translator) -2. **Stage 2**: `SearchQuery` → compiled search expressions -3. **Stage 3**: Execute search expressions → ranked results -4. **Stage 4**: Results + context → natural language answer - -## Development Patterns - -### Environment Setup -```bash -# Always use uv for dependency management -make venv # Creates .venv with all dependencies -source .venv/bin/activate # Manual activation if needed - -# Essential commands -make all # format, check, test, build -make demo # Interactive query tool -make compare # Batch evaluation against test data -``` - -### Environment Variables -Set these for Azure/OpenAI access: -- `AZURE_OPENAI_API_KEY` (or "identity" for managed identity) -- `AZURE_OPENAI_ENDPOINT` (must include api-version parameter) - -Load via `utils.load_dotenv()` which looks for `../ts/.env` (shared with TypeScript) - -### Testing & Debugging -- **Tests**: Use `pytest` with async fixtures from `test/fixtures.py` -- **Debug levels**: Tools support `--debug1/2/3/4` with values `none|diff|full|skip|nice` -- **Coverage**: `make test` includes coverage collection -- **Evaluation**: Use `tools/vizcmp.py` to compare evaluation results across runs - -### Code Conventions (TypeScript → Python) -- **Classes**: 1:1 correspondence with TS interfaces/types -- **Fields**: `camelCase` → `snake_case` (e.g., `messageIndex` → `message_index`) -- **Interfaces**: - - `I-named` → `Protocol` classes - - Others → `@dataclass` or Pydantic models -- **Unions**: Preserve as Python unions, string literals become `Literal` types -- **Async**: All storage operations are async even for in-memory providers - -### Import Architecture Rules -**Core Principle**: Never import a symbol from another module that imports it. Always import directly from the module that defines it. - -- **Bad**: `from searchlang import SearchTermGroupTypes` (when searchlang imports it from interfaces) -- **Good**: `from interfaces import SearchTermGroupTypes` (where it's actually defined) - -**Exceptions**: -- Modules with `__all__` - intentional public API -- Explicit export markers: `# For export` comments -- Re-export pattern: `from X import Y as Y` - -This prevents circular imports and creates cleaner dependency graphs. - -## Key Interfaces & Patterns - -### Storage Provider Pattern -```python -# All storage operations are async -class IStorageProvider(Protocol): - async def get_item(self, ordinal: int) -> T | None - async def get_slice(self, start: int, end: int) -> list[T] - # Sequential ordinals, auto-increment IDs -``` - -### Conversation Structure -```python -# Flattened from TypeScript version -IConversation: - - message_collection: IMessageCollection - - semantic_ref_collection: ISemanticRefCollection - - indexes: IConversationSecondaryIndexes - # Plus various search & filtering methods -``` - -### Schema Translation (Pydantic Models) -- Use `Field()` for validation, descriptions removed in recent refactoring -- Support both `default=None` patterns and required fields -- Entity types: concrete, specific (not generic like 'object', 'thing') - -## Essential Tools & Entry Points - -### `tools/utool.py` - Primary Development Tool -```python -# Interactive mode -make demo -python -m tools.utool - -# Batch evaluation -make compare -python -m tools.utool --batch - -# Debug specific stages -python -m tools.utool --debug3=nice "your query here" -``` - -### Evaluation Workflow -1. Create question/answer test data in `testdata/` -2. Run `make compare` to evaluate against known good results -3. Use `tools/vizcmp.py` to visualize score differences across algorithm variants -4. Results stored in `evals/eval-*.txt` - -### MCP Server -```bash -.venv/bin/mcp dev typeagent/mcp/server.py -``` - -## Database & Indexing - -### SQLite Schema (see `spec/` folder) -- **Messages**: Core content with chunks, timestamps, metadata -- **SemanticRefs**: Extracted entities, topics, relationships -- **Secondary Indexes**: Message text, properties, timestamps, related terms -- **Auto-increment IDs**: Sequential ordinals for efficient retrieval - -### Index Types -- `MessageIndex` - Text search with embeddings -- `PropertyIndex` - Structured facet search (color:blue, author:Bach) -- `SecondaryIndexes` - Related terms, fuzzy matching, temporal ranges - -## Integration Points - -### Azure AI Integration -```python -# Auth patterns -from typeagent.aitools.auth import get_shared_token_provider -# Embeddings -from typeagent.aitools.embeddings import AsyncEmbeddingModel -# Utils -from typeagent.aitools.utils import load_dotenv, create_translator -``` - -### TypeChat Integration -```python -# Create translators for schema validation -model = convknowledge.create_typechat_model() -translator = utils.create_translator(model, YourSchemaClass) -``` - -## Common Debugging Scenarios - -### Query Pipeline Issues -1. Check Stage 1 translation: `--debug1=full` -2. Examine compiled expressions: `--debug2=full` -3. Review search results: `--debug3=nice` -4. Inspect answer generation: `--debug4=nice` - -### Schema Validation Failures -- Ensure `Field()` usage follows current patterns (check recent removals) -- Verify entity types are specific, not generic -- Check for proper `Literal` vs Union usage - -### Performance Issues -- Use `--podcast` for smaller test datasets vs full indexes -- Check SQLite vs memory storage provider selection -- Monitor embedding model choice (test vs production) - -## File Patterns - -- **`*_schema.py`** - Pydantic models for TypeChat validation -- **`test_*.py`** - pytest-based tests with async fixtures -- **`interfaces.py`** - Protocol definitions (former TS interfaces) -- **`*index.py`** - Various indexing implementations -- **`serialization.py`** - Object persistence helpers - -## Current State & TODOs - -This is **active experimental code** with frequent refactoring. Key ongoing work: -- Moving from generic to specific entity types -- Flattening conversation architecture -- Improving query language precision -- Performance optimization for larger corpora -- Better integration between action/memory/planning systems - -Focus on **working functionality over perfect code** - the goal is exploring Structured RAG concepts, not production software. diff --git a/AGENTS.md b/AGENTS.md new file mode 100644 index 0000000..cd67bcc --- /dev/null +++ b/AGENTS.md @@ -0,0 +1,102 @@ +--- +applyTo: '**/*.py' +--- + +**DO NOT BE OBSEQUIOUS** + +# For Agent mode + +**NEVER use TEST_MODEL_NAME or "test" embedding model outside of test files** + +Never run git commands that many any changes. (`git status` and `git diff` are fine) + +**NEVER COMMIT CODE. Do not run `git commit` or any other git commands that make changes to the repository. Not even `git add`** + +When moving, copying or deleting files, use the git commands: `git mv`, `git cp`, `git rm` + +When the working directory is ~/TypeAgent/python/ta/: + +- Don't use '!' on the command line, it's some bash magic (even inside single quotes) +- Activate `.venv`: make venv; source .venv/bin/activate +- To get API keys in ad-hoc code, run `typeagent.aitools.utils.load_dotenv()` +- Use pytest to run tests in test/ +- Use pyright to check type annotations in tools/, test/, typeagent/ +- Ignore build/, dist/ +- You can also use the pylance extension for type checking in VS Code +- Use `make check` to type-check all files +- Use `make test` to run all tests +- Use `make check test` to run `make check` and if it passes also run `make test` + +## Package Management with uv + +- Use `uv add ` to add new dependencies +- Use `uv add --upgrade` to upgrade existing packages +- **Important**: uv automatically updates `pyproject.toml` when adding/upgrading packages +- **Do NOT** manually edit `pyproject.toml` dependency versions after running uv commands +- uv maintains consistency between `pyproject.toml`, `uv.lock`, and installed packages +- Trust uv's automatic version resolution and file management + +**IMPORTANT! YOU ARE NOT DONE UNTIL `make check test format` PASSES** + +# Code generation + +When generating Python code (e.g. when translating TypeScript to Python), +please follow these guidelines: + +* When creating a new file, add a copyright header to the top: +``` +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. +``` + +* Assume Python 3.12 + +* Always strip trailing spaces + +* Keep class and type names in `PascalCase` +* Use `python_case` for variable/field and function/method names + +* Use `Literal` for unions of string literals +* Keep union notation (`X | Y`) for other unions +* Use `Protocol` for interfaces whose name starts with `I` + followed by a capital letter +* Use `dataclass` for other classes and structured types +* Use `type` for type aliases (`PascalCase` again) +* Use `list`, `tuple`, `dict`, `set` etc., not `List` etc. + +* Translate `foo?: string` to `foo: str | None = None` + +* When writing tests: + - don't mock; use the regular implementation (maybe introduce a fixture to create it) + - assume `pytest`; use `assert` statements + - match the type annotations of the tested functions + - read the code of the tested functions to understand their behavior + - When using fixtures: + - Fully type-annotate the fixture definitions (including return type) + - Fully type-annotate fixture usages + +* Don't put imports inside functions. + Put them at the top of the file with the other imports. + Exception: imports in a `if __name__ == "__main__":` block or a `main()` function. + Another exception: pydantic and logfire. + Final exception: to avoid circular import errors. + +* **Import Architecture Rules**: + - **Never import a symbol from a module that just re-exports it** + - **Always import directly from the module that defines the symbol** + - **Exception**: Package `__init__.py` files that explicitly re-export with `__all__` + - **Exception**: Explicit re-export patterns like `from ... import X as X` or marked with "# For export" + - This prevents circular imports and makes dependencies clear + +* Order imports alphabetically after lowercasing; group them as follows + (with a blank line between groups): + 1. standard library imports + 2. established third-party libraries + 3. experimental third-party libraries (e.g. `typechat`) + 4. local imports (e.g. `from typeagent.knowpro import ...`) + +* **Error Handling**: Don't use `try/except Exception` to catch errors broadly. + Let errors bubble up naturally for proper error handling and debugging at higher levels. + +* **Code Validation**: Don't use `py_compile` for syntax checking. + Use `pyright` or `make check` instead for proper type checking and validation.