From aef8301090c5cf0e2960268ccc51318903b7d974 Mon Sep 17 00:00:00 2001 From: geekwhocodes Date: Tue, 25 Feb 2025 21:51:41 +0000 Subject: [PATCH 1/3] init --- .devcontainer/Dockerfile | 2 +- .devcontainer/devcontainer.json | 2 +- .devcontainer/scripts/init-env.sh | 56 +- .gitignore | 3 + .vscode/launch.json | 16 + .vscode/settings.json | 14 +- poetry.lock | 1508 ++++++++++++++++- pyproject.toml | 12 +- src/source_faker/source.py | 118 -- src/source_faker/spark.py | 6 - .../__init__.py | 0 src/source_msgraph/async_interator.py | 58 + src/source_msgraph/graph.py | 60 + src/source_msgraph/source.py | 37 + tests/conftest.py | 26 +- tests/test_source.py | 2 +- 16 files changed, 1677 insertions(+), 243 deletions(-) create mode 100644 .vscode/launch.json delete mode 100644 src/source_faker/source.py delete mode 100644 src/source_faker/spark.py rename src/{source_faker => source_msgraph}/__init__.py (100%) create mode 100644 src/source_msgraph/async_interator.py create mode 100644 src/source_msgraph/graph.py create mode 100644 src/source_msgraph/source.py diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile index 7cc873f..5e4732a 100644 --- a/.devcontainer/Dockerfile +++ b/.devcontainer/Dockerfile @@ -1,4 +1,4 @@ -FROM mcr.microsoft.com/devcontainers/python:3.11-bookworm +FROM mcr.microsoft.com/devcontainers/python:3.12-bookworm RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \ && apt-get -y install --no-install-recommends \ diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json index 33511fd..4a8734c 100644 --- a/.devcontainer/devcontainer.json +++ b/.devcontainer/devcontainer.json @@ -4,7 +4,7 @@ "dockerfile": "Dockerfile", "context": "." }, - "postStartCommand": "bash -i /workspace/scripts/init-env.sh", + // "postStartCommand": "bash -i /workspace/scripts/init-env.sh", "customizations": { "vscode": { "extensions": [ diff --git a/.devcontainer/scripts/init-env.sh b/.devcontainer/scripts/init-env.sh index 05a728a..22c5673 100644 --- a/.devcontainer/scripts/init-env.sh +++ b/.devcontainer/scripts/init-env.sh @@ -1,28 +1,28 @@ -#!/bin/bash - -# Define the virtual environment directory -VENV_DIR=".venv" - -# Check if the virtual environment already exists -if [[ ! -d "$VENV_DIR" ]]; then - echo "Creating virtual environment..." - python -m venv "$VENV_DIR" - echo "Virtual environment created at $VENV_DIR" -else - echo "Virtual environment already exists." -fi - -# Activate the virtual environment -if [[ -f "$VENV_DIR/bin/activate" ]]; then - echo "Activating virtual environment..." - source "$VENV_DIR/bin/activate" - echo "Virtual environment activated." - poetry add ipykernel - poetry install - - source .venv/bin/activate - -else - echo "Error: Unable to activate virtual environment." - exit 1 -fi +#!/bin/bash + +# Define the virtual environment directory +VENV_DIR=".venv" + +# Check if the virtual environment already exists +if [[ ! -d "$VENV_DIR" ]]; then + echo "Creating virtual environment..." + python -m venv "$VENV_DIR" + echo "Virtual environment created at $VENV_DIR" +else + echo "Virtual environment already exists." +fi + +# Activate the virtual environment +if [[ -f "$VENV_DIR/bin/activate" ]]; then + echo "Activating virtual environment..." + source "$VENV_DIR/bin/activate" + echo "Virtual environment activated." + poetry add ipykernel + poetry install + + source .venv/bin/activate + +else + echo "Error: Unable to activate virtual environment." + exit 1 +fi diff --git a/.gitignore b/.gitignore index 47fdeca..3880ca9 100644 --- a/.gitignore +++ b/.gitignore @@ -169,3 +169,6 @@ cython_debug/ # PyPI configuration file .pypirc + +**/**/.scratch +**/tests/*_integration.py diff --git a/.vscode/launch.json b/.vscode/launch.json new file mode 100644 index 0000000..969d736 --- /dev/null +++ b/.vscode/launch.json @@ -0,0 +1,16 @@ +{ + // Use IntelliSense to learn about possible attributes. + // Hover to view descriptions of existing attributes. + // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387 + "version": "0.2.0", + "configurations": [ + { + "name": "Python Debugger: Current File", + "type": "debugpy", + "request": "launch", + "program": "${file}", + "console": "integratedTerminal", + "justMyCode": false + } + ] +} \ No newline at end of file diff --git a/.vscode/settings.json b/.vscode/settings.json index 1bb8710..660ca61 100644 --- a/.vscode/settings.json +++ b/.vscode/settings.json @@ -1,8 +1,8 @@ -{ - "python.defaultInterpreterPath": ".venv/bin/python", - "python.formatting.provider": "black", - "editor.formatOnSave": true, - "editor.codeActionsOnSave": { - "source.organizeImports": "always" - } +{ + "python.defaultInterpreterPath": ".venv/bin/python", + "python.formatting.provider": "black", + "editor.formatOnSave": true, + "editor.codeActionsOnSave": { + "source.organizeImports": "always" + } } \ No newline at end of file diff --git a/poetry.lock b/poetry.lock index b6ea41b..93ea9b1 100644 --- 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-1,20 +1,21 @@ [project] -name = "source-faker" +name = "source-msgraph" version = "0.1.0" description = "" authors = [ {name = "geekwhocodes",email = "ganeshraskar@outlook.com"} ] readme = "README.md" -requires-python = ">=3.11" +requires-python = ">=3.12,<4" dependencies = [ "pyspark (==4.0.0.dev2)", - "faker (>=36.1.1,<37.0.0)", - "ipykernel (>=6.29.5,<7.0.0)" + "msgraph-sdk (>=1.21.0,<2.0.0)", + "azure-identity (>=1.20.0,<2.0.0)", + "microsoft-kiota-serialization-json (>=1.9.2,<2.0.0)", ] [tool.poetry] -packages = [{include = "source_faker", from = "src"}] +packages = [{include = "source_msgraph", from = "src"}] [tool.poetry.group.dev.dependencies] @@ -28,6 +29,7 @@ pyarrow = "^19.0.1" grpcio = "^1.70.0" grpcio-status = "^1.60.1" pandas = "^2.2.0" +ipykernel = "^6.29.5" [build-system] requires = ["poetry-core>=2.0.0,<3.0.0"] diff --git a/src/source_faker/source.py b/src/source_faker/source.py deleted file mode 100644 index a2a339a..0000000 --- a/src/source_faker/source.py +++ /dev/null @@ -1,118 +0,0 @@ -from pyspark.sql.datasource import DataSource, DataSourceReader -from pyspark.sql.types import StructType, StringType - -# Reference https://learn.microsoft.com/en-us/azure/databricks/pyspark/datasources - - -class FakeDataSource(DataSource): - """ - A fake data source for PySpark to generate synthetic data using the `faker` library. - - This data source allows specifying a schema with field names that correspond to `faker` - providers to generate random data for testing and development purposes. - - The default schema is `name string, date string, zipcode string, state string`, and the - default number of rows is `3`. Both can be customized by users. - - Name: `fake` - - Notes - ----- - - The fake data source relies on the `faker` library. Make sure it is installed and accessible. - - Only string type fields are supported, and each field name must correspond to a method name in - the `faker` library. - - Examples - -------- - Register the data source. - - >>> from pyspark_datasources import FakeDataSource - >>> spark.dataSource.register(FakeDataSource) - - Use the fake datasource with the default schema and default number of rows: - - >>> spark.read.format("fake").load().show() - +-----------+----------+-------+-------+ - | name| date|zipcode| state| - +-----------+----------+-------+-------+ - |Carlos Cobb|2018-07-15| 73003|Indiana| - | Eric Scott|1991-08-22| 10085| Idaho| - | Amy Martin|1988-10-28| 68076| Oregon| - +-----------+----------+-------+-------+ - - Use the fake datasource with a custom schema: - - >>> spark.read.format("fake").schema("name string, company string").load().show() - +---------------------+--------------+ - |name |company | - +---------------------+--------------+ - |Tanner Brennan |Adams Group | - |Leslie Maxwell |Santiago Group| - |Mrs. Jacqueline Brown|Maynard Inc | - +---------------------+--------------+ - - Use the fake datasource with a different number of rows: - - >>> spark.read.format("fake").option("numRows", 5).load().show() - +--------------+----------+-------+------------+ - | name| date|zipcode| state| - +--------------+----------+-------+------------+ - | Pam Mitchell|1988-10-20| 23788| Tennessee| - |Melissa Turner|1996-06-14| 30851| Nevada| - | Brian Ramsey|2021-08-21| 55277| Washington| - | Caitlin Reed|1983-06-22| 89813|Pennsylvania| - | Douglas James|2007-01-18| 46226| Alabama| - +--------------+----------+-------+------------+ - """ - - @classmethod - def name(cls): - return "fake" - - def schema(self): - return "name string, date string, zipcode string, state string" - - def reader(self, schema: StructType): - # Verify the library is installed correctly. - try: - from faker import Faker - except ImportError: - raise Exception( - "You need to install `faker` to use the fake datasource.") - - # Check the schema is valid before proceed to reading. - fake = Faker() - for field in schema.fields: - try: - getattr(fake, field.name)() - except AttributeError: - raise Exception( - f"Unable to find a method called `{field.name}` in faker. " - f"Please check Faker's documentation to see supported methods." - ) - if field.dataType != StringType(): - raise Exception( - f"Field `{field.name}` is not a StringType. " - f"Only StringType is supported in the fake datasource." - ) - - return FakeDataSourceReader(schema, self.options) - - -class FakeDataSourceReader(DataSourceReader): - - def __init__(self, schema, options): - self.schema: StructType = schema - self.options = options - - def read(self, partition): - from faker import Faker - fake = Faker() - # Note: every value in this `self.options` dictionary is a string. - num_rows = int(self.options.get("numRows", 3)) - for _ in range(num_rows): - row = [] - for field in self.schema.fields: - value = getattr(fake, field.name)() - row.append(value) - yield tuple(row) diff --git a/src/source_faker/spark.py b/src/source_faker/spark.py deleted file mode 100644 index f321351..0000000 --- a/src/source_faker/spark.py +++ /dev/null @@ -1,6 +0,0 @@ -from pyspark.sql import SparkSession - -spark: SparkSession = SparkSession.builder \ - .config("spark.driver.memory", "4g") \ - .config("spark.executor.memory", "2g") \ - .getOrCreate() diff --git a/src/source_faker/__init__.py b/src/source_msgraph/__init__.py similarity index 100% rename from src/source_faker/__init__.py rename to src/source_msgraph/__init__.py diff --git a/src/source_msgraph/async_interator.py b/src/source_msgraph/async_interator.py new file mode 100644 index 0000000..ad3bc6c --- /dev/null +++ b/src/source_msgraph/async_interator.py @@ -0,0 +1,58 @@ +import asyncio + +import asyncio +from typing import AsyncGenerator, Iterator, Any + +class AsyncToSyncIterator: + """ + Converts an async generator into a synchronous iterator while ensuring proper event loop handling. + """ + + def __init__(self, async_gen: AsyncGenerator[Any, None]): + """ + Initializes the iterator by consuming an async generator synchronously. + + Args: + async_gen (AsyncGenerator): The async generator yielding results. + max_pages (int): Maximum allowed pages to fetch (prevents infinite loops). + """ + self.async_gen = async_gen + self.loop = self._get_event_loop() + self.iterator = self._to_iterator() + + def _get_event_loop(self) -> asyncio.AbstractEventLoop: + """Returns the currently running event loop or creates a new one if none exists.""" + try: + loop = asyncio.get_running_loop() + if loop.is_running(): + return None # Indicate an already running loop (handled in `_to_iterator()`) + except RuntimeError: + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + return loop + + def _to_iterator(self) -> Iterator: + """ + Ensures that the async generator is consumed using the correct event loop. + Uses streaming (does not load all results into memory). + """ + if self.loop: + return iter(self.loop.run_until_complete(self._stream_results())) + else: + return iter(asyncio.run(self._stream_results())) # Safe for Jupyter, PySpark + + # Caution : prone to OOM errors + async def _stream_results(self): + # """Streams async generator results without collecting all in memory.""" + # page_count = 0 + # async for item in self.async_gen: + # if page_count >= self.max_pages: + # raise RuntimeError("Pagination limit reached, possible infinite loop detected!") + # yield item + # page_count += 1 # Track pages to prevent infinite loops + return [item async for item in self.async_gen] + + def __iter__(self) -> Iterator: + """Returns the synchronous iterator.""" + return self.iterator + diff --git a/src/source_msgraph/graph.py b/src/source_msgraph/graph.py new file mode 100644 index 0000000..e7e76e3 --- /dev/null +++ b/src/source_msgraph/graph.py @@ -0,0 +1,60 @@ +# https://graph.microsoft.com/v1.0/sites/rapidcircle1com.sharepoint.com:/teams/msteams_49b7aa_734222/ +# Get id by _api/site/id +# team sites are also available through https://graph.microsoft.com/v1.0/sites/9892ec2f-dd7b-4fbd-a896-2fa239f6b805/lists/ +# +# + +import asyncio +from kiota_abstractions.base_request_configuration import RequestConfiguration +from msgraph.generated.sites.item.lists.item.items.items_request_builder import ItemsRequestBuilder +import json +from kiota_serialization_json.json_serialization_writer_factory import JsonSerializationWriterFactory +from msgraph import GraphServiceClient +from azure.identity import ClientSecretCredential + +from source_msgraph.async_interator import AsyncToSyncIterator + +tenant_id = "7c78a7a0-8b3b-4d54-8c3c-ca6ab4da029f" +client_id = "59c8283d-4a90-44a9-9a58-579a0e511168" +client_secret = "gwz8Q~FJMTs_~yVNbYou3dU27UMBdKIrYg2s7bpg" + + +credentials = ClientSecretCredential( + tenant_id=tenant_id, client_id=client_id, client_secret=client_secret) + +# from microsoft.kiota.serialization.json.json_serialization_writer_factory import JsonSerializationWriterFactory + +# Convert to JSON using Kiota +writer_factory = JsonSerializationWriterFactory() +writer = writer_factory.get_serialization_writer("application/json") +graph_client = GraphServiceClient(credentials=credentials, scopes=[ + 'https://graph.microsoft.com/.default']) + + +def to_json(value): + value.serialize(writer) + # Get JSON string + return json.loads((writer.get_serialized_content().decode("utf-8"))) + + +async def fetch_items_async(graph_client, site_id, list_id, **params): + query_parameters = ItemsRequestBuilder.ItemsRequestBuilderGetQueryParameters(**params, + expand=["fields"]) + request_configuration = RequestConfiguration( + query_parameters=query_parameters, + ) + + items = await graph_client.sites.by_site_id(site_id).lists.by_list_id(list_id).items.get(request_configuration=request_configuration) + + while True: + print("Page fetched....") + for item in items.value: + yield item + if not items.odata_next_link: + break + items = await graph_client.sites.by_site_id(site_id).lists.by_list_id(list_id).items.with_url(items.odata_next_link).get() + + +def fetch_items_sync(graph_client, site_id, list_id, params): + async_gen = fetch_items_async(graph_client, site_id, list_id, **params) + return AsyncToSyncIterator(async_gen) \ No newline at end of file diff --git a/src/source_msgraph/source.py b/src/source_msgraph/source.py new file mode 100644 index 0000000..2974f95 --- /dev/null +++ b/src/source_msgraph/source.py @@ -0,0 +1,37 @@ +import asyncio +from pyspark.sql.datasource import DataSource, DataSourceReader +from pyspark.sql.types import StructType, StringType + +# Reference https://learn.microsoft.com/en-us/azure/databricks/pyspark/datasources + + +class MSGraphDataSource(DataSource): + """ + + """ + + @classmethod + def name(cls): + return "msgraph" + + def schema(self): + return "id string" + + def reader(self, schema: StructType): + return MSGraphDataSourceReader(schema, self.options) + + +class MSGraphDataSourceReader(DataSourceReader): + + def __init__(self, schema, options): + self.schema: StructType = schema + self.options = options + + def read(self, partition): + from source_msgraph.graph import fetch_items_sync, graph_client, to_json + from pyspark.sql import Row + for item in fetch_items_sync(graph_client, "37d7dde8-0b6b-4b7c-a2fd-2e217f54a263", "5ecf26db-0161-4069-b763-856217415099", {"top":10}): + j = to_json(item) + yield Row(**{ + "id": j.get("id", None) + }) diff --git a/tests/conftest.py b/tests/conftest.py index 062fe17..8b075c1 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1,13 +1,13 @@ -import pytest -from pyspark.sql import SparkSession - - -@pytest.fixture(scope="session") -def spark(): - """Create a Spark session for testing.""" - spark = SparkSession.builder \ - .master("local[2]") \ - .appName("pytest-pyspark-datasource-testing") \ - .getOrCreate() - yield spark - spark.stop() +import pytest +from pyspark.sql import SparkSession + + +@pytest.fixture(scope="session") +def spark(): + """Create a Spark session for testing.""" + spark = SparkSession.builder \ + .master("local[2]") \ + .appName("pytest-pyspark-datasource-testing") \ + .getOrCreate() + yield spark + spark.stop() diff --git a/tests/test_source.py b/tests/test_source.py index 4c35bd5..17cd168 100644 --- a/tests/test_source.py +++ b/tests/test_source.py @@ -1,6 +1,6 @@ import pytest from pyspark.sql import SparkSession -from source_faker.source import FakeDataSource +from source_msgraph.source import FakeDataSource # @pytest.fixture From 29a768116ae91b1ddde5d10ea066aeeb918945f4 Mon Sep 17 00:00:00 2001 From: geekwhocodes Date: Wed, 26 Feb 2025 00:56:39 +0000 Subject: [PATCH 2/3] proxy using msgraph sdk --- src/source_msgraph/graph.py | 42 ++++-- src/source_msgraph/msgraph_spark/client.py | 23 +++ src/source_msgraph/msgraph_spark/fetcher.py | 139 +++++++++++++++++++ src/source_msgraph/msgraph_spark/options.py | 55 ++++++++ src/source_msgraph/msgraph_spark/utils.py | 15 ++ src/source_msgraph/resource_resolver.py | 18 +++ src/source_msgraph/resources/base_options.py | 18 +++ src/source_msgraph/resources/sites/lists.py | 48 +++++++ src/source_msgraph/source.py | 42 ++++-- 9 files changed, 382 insertions(+), 18 deletions(-) create mode 100644 src/source_msgraph/msgraph_spark/client.py create mode 100644 src/source_msgraph/msgraph_spark/fetcher.py create mode 100644 src/source_msgraph/msgraph_spark/options.py create mode 100644 src/source_msgraph/msgraph_spark/utils.py create mode 100644 src/source_msgraph/resource_resolver.py create mode 100644 src/source_msgraph/resources/base_options.py create mode 100644 src/source_msgraph/resources/sites/lists.py diff --git a/src/source_msgraph/graph.py b/src/source_msgraph/graph.py index e7e76e3..bd9bc6a 100644 --- a/src/source_msgraph/graph.py +++ b/src/source_msgraph/graph.py @@ -8,11 +8,13 @@ from kiota_abstractions.base_request_configuration import RequestConfiguration from msgraph.generated.sites.item.lists.item.items.items_request_builder import ItemsRequestBuilder import json -from kiota_serialization_json.json_serialization_writer_factory import JsonSerializationWriterFactory + from msgraph import GraphServiceClient from azure.identity import ClientSecretCredential from source_msgraph.async_interator import AsyncToSyncIterator +from source_msgraph.msgraph_spark.fetcher import MicrosoftGraphFetcher +from source_msgraph.msgraph_spark.options import MicrosoftGraphOptions tenant_id = "7c78a7a0-8b3b-4d54-8c3c-ca6ab4da029f" client_id = "59c8283d-4a90-44a9-9a58-579a0e511168" @@ -24,17 +26,11 @@ # from microsoft.kiota.serialization.json.json_serialization_writer_factory import JsonSerializationWriterFactory -# Convert to JSON using Kiota -writer_factory = JsonSerializationWriterFactory() -writer = writer_factory.get_serialization_writer("application/json") + graph_client = GraphServiceClient(credentials=credentials, scopes=[ 'https://graph.microsoft.com/.default']) -def to_json(value): - value.serialize(writer) - # Get JSON string - return json.loads((writer.get_serialized_content().decode("utf-8"))) async def fetch_items_async(graph_client, site_id, list_id, **params): @@ -57,4 +53,32 @@ async def fetch_items_async(graph_client, site_id, list_id, **params): def fetch_items_sync(graph_client, site_id, list_id, params): async_gen = fetch_items_async(graph_client, site_id, list_id, **params) - return AsyncToSyncIterator(async_gen) \ No newline at end of file + return AsyncToSyncIterator(async_gen) + + +def main(): + options = MicrosoftGraphOptions( + tenant_id=tenant_id, + client_id=client_id, + client_secret=client_secret, + resource="sites/by_site_id/lists/by_list_id/items", + params={ + "top": 1, + "expand": ["fields"] + } + ) + resource_path = "sites/by_site_id/lists/by_list_id/items" + params = { + "site_id": "37d7dde8-0b6b-4b7c-a2fd-2e217f54a263", # Actual site ID + "list_id": "5ecf26db-0161-4069-b763-856217415099", # Actual list ID + "top": 5, + "expand": ["fields"] + } + fetcher = MicrosoftGraphFetcher(graph_client, resource_path, params) + async_gen = fetcher.fetch_data() + for row in AsyncToSyncIterator(async_gen): + print(row) + + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/src/source_msgraph/msgraph_spark/client.py b/src/source_msgraph/msgraph_spark/client.py new file mode 100644 index 0000000..68dd24e --- /dev/null +++ b/src/source_msgraph/msgraph_spark/client.py @@ -0,0 +1,23 @@ +from typing import Union +from pyspark.sql.types import StructType + +from source_msgraph.async_interator import AsyncToSyncIterator +from source_msgraph.msgraph_spark.fetcher import MicrosoftGraphFetcher +from source_msgraph.msgraph_spark.options import MicrosoftGraphOptions +from azure.identity import ClientSecretCredential +from msgraph import GraphServiceClient + +def iter_records(schema: Union[StructType, str], options: MicrosoftGraphOptions): + # Authenticate using ClientSecretCredential + credentials = ClientSecretCredential( + tenant_id=options.tenant_id, + client_id=options.client_id, + client_secret=options.client_secret + ) + + # Initialize Graph Client + client = GraphServiceClient(credentials=credentials, scopes=["https://graph.microsoft.com/.default"]) + + fetcher = MicrosoftGraphFetcher(client, options.resource_path, options.query_params, options.resource_options) + async_gen = fetcher.fetch_data() + return AsyncToSyncIterator(async_gen) \ No newline at end of file diff --git a/src/source_msgraph/msgraph_spark/fetcher.py b/src/source_msgraph/msgraph_spark/fetcher.py new file mode 100644 index 0000000..db1ff2e --- /dev/null +++ b/src/source_msgraph/msgraph_spark/fetcher.py @@ -0,0 +1,139 @@ +import importlib +from msgraph import GraphServiceClient +from kiota_abstractions.base_request_configuration import RequestConfiguration +from msgraph.generated.models.o_data_errors.o_data_error import ODataError +from typing import Dict, Any +import asyncio + +class MicrosoftGraphFetcher: + def __init__(self, graph_client: GraphServiceClient, resource_path: str, query_params: Dict[str, Any], resource_params: Dict[str, str]): + """ + Initializes the fetcher with the Graph client, resource path, and query parameters. + + :param graph_client: The authenticated GraphServiceClient instance. + :param resource_path: The resource path (e.g., "sites/by_site_id/lists/by_list_id/items"). + :param params: Query parameters for the request. + """ + self.graph_client = graph_client + self.resource_path = resource_path + self.query_params = query_params + self.resource_params = resource_params + + def _get_request_builder_class(self): + """ + Dynamically resolves the correct RequestBuilder class from `msgraph.generated`. + + Example: For "sites/by_site_id/lists/by_list_id/items", it will resolve: + `msgraph.generated.sites.item.lists.item.items.items_request_builder.ItemsRequestBuilder` + """ + path_parts = self.resource_path.split("/") + base_module = "msgraph.generated" + module_path = [] + class_name = "RequestBuilder" # Default fallback + + i = 0 + while i < len(path_parts): + part = path_parts[i] + + if part.startswith("by_"): # Handling {site_id}, {list_id}, etc. + module_path.append("item") # `by_site_id` means `.item` + + else: + module_path.append(part) + + i += 1 + + # Construct the full module path + module_name = f"{base_module}." + ".".join(module_path) + f".{module_path[-1]}_request_builder" + + try: + module = importlib.import_module(module_name) + pascal_case_class = self._pascal_case(f"{module_path[-1]}_request_builder") + + for attr in dir(module): + if attr == pascal_case_class: + return getattr(module, attr) + + raise ValueError(f"Could not find {pascal_case_class} in {module_name}") + + except ModuleNotFoundError: + raise ValueError(f"Could not resolve RequestBuilder for resource path: {self.resource_path}") + + def _pascal_case(self, snake_str: str) -> str: + """ + Converts snake_case to PascalCase. + Example: "items_request_builder" -> "ItemsRequestBuilder" + """ + return "".join(word.title() for word in snake_str.split("_")) + + def _get_query_parameters_class(self, request_builder_class): + """ + Fetches the corresponding `RequestBuilderGetQueryParameters` class dynamically. + """ + for attr in dir(request_builder_class): + if attr.endswith("RequestBuilderGetQueryParameters"): + return getattr(request_builder_class, attr) + raise ValueError(f"No QueryParameters class found for {request_builder_class.__name__}") + + async def fetch_data(self): + """ + Fetches data from Microsoft Graph using the dynamically built request. + Handles pagination automatically. + """ + request_builder_class = self._get_request_builder_class() + query_params_class = self._get_query_parameters_class(request_builder_class) + + + # Create Query Parameters object + valid_params = {p for p in query_params_class.__annotations__.keys()} + filtered_params = {k: v for k, v in self.query_params.items() if k in valid_params} + query_parameters = query_params_class(**filtered_params) + request_configuration = RequestConfiguration( + query_parameters=query_parameters, + ) + + # Get Request Builder Instance from Graph Client + builder = self._get_request_builder_instance(request_builder_class) + + try: + items = await builder.get(request_configuration=request_configuration) + while True: + print("Page fetched....") + for item in items.value: + yield item + if not items.odata_next_link: + break + items = await builder.with_url(items.odata_next_link).get() + + except ODataError as e: + raise Exception(f"Graph API Error: {e.error.message}") + + def _get_request_builder_instance(self, request_builder_class): + """ + Uses the `graph_client` to resolve the correct instance of the request builder dynamically, + passing actual `site_id`, `list_id`, etc., instead of placeholders. + """ + parts = self.resource_path.split("/") + builder = self.graph_client + + i = 0 + while i < len(parts): + part = parts[i] + + if part.startswith("by_"): # Handling "by_site_id", "by_list_id", etc. + param_name = part[3:] # Extract parameter name (e.g., "site_id", "list_id") + actual_id = self.resource_params.get(param_name) # Get actual ID from user input + if not actual_id: + raise ValueError(f"Missing required parameter: {param_name}") + method_name = part # Keep "by_site_id" format + + if hasattr(builder, method_name): + builder = getattr(builder, method_name)(actual_id) # Pass actual ID + elif hasattr(builder, part): + builder = getattr(builder, part) + else: + raise ValueError(f"Invalid resource path: '{part}' not found in {builder}") + + i += 1 + + return builder diff --git a/src/source_msgraph/msgraph_spark/options.py b/src/source_msgraph/msgraph_spark/options.py new file mode 100644 index 0000000..06aad9c --- /dev/null +++ b/src/source_msgraph/msgraph_spark/options.py @@ -0,0 +1,55 @@ +from dataclasses import dataclass, field +from typing import Optional, Dict, Any + + +@dataclass +class MicrosoftGraphOptions: + """Options for Microsoft Graph API requests with strict resource_path validation.""" + tenant_id: str + client_id: str + client_secret: str + resource_path: str # Unique identifier, e.g., "sites/{site_id}/lists/{list_id}" + query_params: Dict[str, Any] = field(default_factory=dict) # Query params like 'top', 'filter' + resource_options: Dict[str, Any] = field(default_factory=dict) # Other resource-specific options + + def __post_init__(self): + """Validate query params and resource options based on full resource_path.""" + self.validate_query_params() + self.validate_resource_options() + + + def validate_query_params(self): + """Validate query parameters against the allowed list for the full resource path.""" + valid_query_options = self.get_valid_query_options() + invalid_keys = [key for key in self.query_params if key not in valid_query_options] + if invalid_keys: + raise ValueError(f"Invalid query parameters for {self.resource_path}: {invalid_keys}") + + def validate_resource_options(self): + """Validate resource-specific options based on the full resource_path.""" + valid_options = self.get_valid_resource_options() + invalid_keys = [key for key in self.resource_options if key not in valid_options] + if invalid_keys: + raise ValueError(f"Invalid resource options for {self.resource_path}: {invalid_keys}") + + def get_valid_query_options(self): + """Returns allowed query parameters based on the full resource path.""" + valid_query_map = { + "sites/by_site_id/lists/by_list_id/items": {"top", "filter", "orderby", "expand"}, + } + return valid_query_map.get(self.resource_path, set()) + + def get_valid_resource_options(self): + """Returns allowed resource options based on the full resource path.""" + valid_resource_map = { + "sites/by_site_id/lists/by_list_id/items": {"site_id", "list_id"}, + + } + return valid_resource_map.get(self.resource_path, set()) + + def get_request_parameters(self): + """Returns structured parameters for Microsoft Graph SDK.""" + return { + "query_params": self.query_params, + "resource_options": self.resource_options + } diff --git a/src/source_msgraph/msgraph_spark/utils.py b/src/source_msgraph/msgraph_spark/utils.py new file mode 100644 index 0000000..858f942 --- /dev/null +++ b/src/source_msgraph/msgraph_spark/utils.py @@ -0,0 +1,15 @@ +from kiota_serialization_json.json_serialization_writer_factory import JsonSerializationWriterFactory +import json +# Convert to JSON using Kiota +writer_factory = JsonSerializationWriterFactory() +writer = writer_factory.get_serialization_writer("application/json") + +def to_json(value): + value.serialize(writer) + # Get JSON string + return json.loads((writer.get_serialized_content().decode("utf-8"))) + +def to_jsonValue(value): + value.serialize(writer) + # Get JSON string + return str(json.loads((writer.get_serialized_content().decode("utf-8")))) \ No newline at end of file diff --git a/src/source_msgraph/resource_resolver.py b/src/source_msgraph/resource_resolver.py new file mode 100644 index 0000000..bd5356f --- /dev/null +++ b/src/source_msgraph/resource_resolver.py @@ -0,0 +1,18 @@ +import importlib + +def resolve_resource_class(resource_path: str): + """Resolve the appropriate resource handler based on the resource path.""" + parts = resource_path.split('/') + module_name = "source_msgraph" + + for depth in range(min(len(parts), 5)): # Limit depth to 5 + module_name += f".{parts[depth]}" + try: + module = importlib.import_module(module_name) + if hasattr(module, "ResourceHandler"): + return module.ResourceHandler + except ModuleNotFoundError: + continue # Try next level + + # TODO: Implement BaseResource if required at all + raise ValueError(f"No handler found for resource: {resource_path}") diff --git a/src/source_msgraph/resources/base_options.py b/src/source_msgraph/resources/base_options.py new file mode 100644 index 0000000..ea65da4 --- /dev/null +++ b/src/source_msgraph/resources/base_options.py @@ -0,0 +1,18 @@ +from dataclasses import dataclass, field +from typing import Optional, Dict, Any + + +@dataclass +class MicrosoftGraphResourceOptions: + """Base dataclass for Microsoft Graph resource options.""" + + # resource: str # e.g., "users", "sites", "groups" + # sub_resource: Optional[str] = None # e.g., for sites: "lists", "drive" + # params: Dict[str, Any] = field(default_factory=dict) # Additional query params + + # def validate(self): + # """Base validation for all resources.""" + # if not self.resource: + # raise ValueError("Resource is required.") + # if self.sub_resource and not isinstance(self.sub_resource, str): + # raise ValueError("Sub-resource must be a string.") \ No newline at end of file diff --git a/src/source_msgraph/resources/sites/lists.py b/src/source_msgraph/resources/sites/lists.py new file mode 100644 index 0000000..e3fa75f --- /dev/null +++ b/src/source_msgraph/resources/sites/lists.py @@ -0,0 +1,48 @@ +from dataclasses import dataclass +from typing import Optional +from msgraph import GraphServiceClient +from msgraph.generated.sites.item.lists.item.items.items_request_builder import ItemsRequestBuilder +from kiota_abstractions.base_request_configuration import RequestConfiguration +from source_msgraph.async_interator import AsyncToSyncIterator +from source_msgraph.resources.base_options import MicrosoftGraphResourceOptions + +@dataclass +class SharePointListOptions(MicrosoftGraphResourceOptions): + site_id: str + list_id: Optional[str] = None + + def validate(self): + super().validate() + if not self.site_id: + raise ValueError("site_id is required for SharePoint lists.") + if self.sub_resource == "lists" and not self.list_id: + raise ValueError("list_id is required when accessing lists.") + + +class ResourceHandler: + def __init__(self, client: GraphServiceClient, params: dict): + self.client = client + self.params = SharePointListOptions(**params) + + async def fetch_items_async(self, site_id, list_id, **params): + query_parameters = ItemsRequestBuilder.ItemsRequestBuilderGetQueryParameters(**params, + expand=["fields"]) + request_configuration = RequestConfiguration( + query_parameters=query_parameters, + ) + + items = await self.client.sites.by_site_id(site_id).lists.by_list_id(list_id).items.get(request_configuration=request_configuration) + + while True: + print("Page fetched....") + for item in items.value: + yield item + if not items.odata_next_link: + break + items = await self.client.sites.by_site_id(site_id).lists.by_list_id(list_id).items.with_url(items.odata_next_link).get() + + + def fetch_items_sync(self, site_id, list_id, params): + async_gen = self.fetch_items_async(self.client, site_id, list_id, **params) + return AsyncToSyncIterator(async_gen) + diff --git a/src/source_msgraph/source.py b/src/source_msgraph/source.py index 2974f95..dfc0f48 100644 --- a/src/source_msgraph/source.py +++ b/src/source_msgraph/source.py @@ -1,6 +1,9 @@ -import asyncio +from typing import Union from pyspark.sql.datasource import DataSource, DataSourceReader -from pyspark.sql.types import StructType, StringType +from pyspark.sql.types import StructType +from source_msgraph.async_interator import AsyncToSyncIterator +from source_msgraph.msgraph_spark.client import iter_records +from source_msgraph.msgraph_spark.options import MicrosoftGraphOptions # Reference https://learn.microsoft.com/en-us/azure/databricks/pyspark/datasources @@ -9,6 +12,27 @@ class MSGraphDataSource(DataSource): """ """ + def __init__(self, options): + + # Extract query options + query_option_keys = {"top", "filter", "orderby", "expand", "select"} + query_options = {k: v for k, v in options.items() if k in query_option_keys} + + # Filter out credentials and query options + resource_options = { + k: v for k, v in options.items() + if k not in {"tenant_id", "client_id", "client_secret", "resource_path"} and k not in query_option_keys + } + + # Initialize MicrosoftGraphOptions + self.options = MicrosoftGraphOptions( + tenant_id=options["tenant_id"], + client_id=options["client_id"], + client_secret=options["client_secret"], + resource_path=options["resource_path"], + query_params=query_options, + resource_options=resource_options + ) @classmethod def name(cls): @@ -18,20 +42,20 @@ def schema(self): return "id string" def reader(self, schema: StructType): - return MSGraphDataSourceReader(schema, self.options) + return MSGraphDataSourceReader(self.options, schema) class MSGraphDataSourceReader(DataSourceReader): - def __init__(self, schema, options): + def __init__(self, options:MicrosoftGraphOptions, schema: Union[StructType, str]): self.schema: StructType = schema - self.options = options - + self.options:MicrosoftGraphOptions = options + def read(self, partition): - from source_msgraph.graph import fetch_items_sync, graph_client, to_json + from source_msgraph.msgraph_spark.utils import to_json from pyspark.sql import Row - for item in fetch_items_sync(graph_client, "37d7dde8-0b6b-4b7c-a2fd-2e217f54a263", "5ecf26db-0161-4069-b763-856217415099", {"top":10}): - j = to_json(item) + for row in iter_records(self.schema, self.options): + j = to_json(row) yield Row(**{ "id": j.get("id", None) }) From e01652a760c344c2b4a3835d889e5719cd6084b8 Mon Sep 17 00:00:00 2001 From: geekwhocodes Date: Fri, 28 Feb 2025 17:27:35 +0000 Subject: [PATCH 3/3] proxied through sdk --- poetry.lock | 18 +- pyproject.toml | 1 + src/source_msgraph/async_interator.py | 66 ++++++- src/source_msgraph/client.py | 105 +++++++++++ src/source_msgraph/constants.py | 2 + src/source_msgraph/generate_docs.py | 84 +++++++++ src/source_msgraph/graph.py | 84 --------- src/source_msgraph/models.py | 172 +++++++++++++++++++ src/source_msgraph/msgraph_spark/client.py | 23 --- src/source_msgraph/msgraph_spark/fetcher.py | 139 --------------- src/source_msgraph/msgraph_spark/options.py | 55 ------ src/source_msgraph/msgraph_spark/utils.py | 15 -- src/source_msgraph/resource_resolver.py | 18 -- src/source_msgraph/resources.py | 30 ++++ src/source_msgraph/resources/base_options.py | 18 -- src/source_msgraph/resources/sites/lists.py | 48 ------ src/source_msgraph/source.py | 65 ++++--- src/source_msgraph/utils.py | 91 ++++++++++ 18 files changed, 599 insertions(+), 435 deletions(-) create mode 100644 src/source_msgraph/client.py create mode 100644 src/source_msgraph/constants.py create mode 100644 src/source_msgraph/generate_docs.py delete mode 100644 src/source_msgraph/graph.py create mode 100644 src/source_msgraph/models.py delete mode 100644 src/source_msgraph/msgraph_spark/client.py delete mode 100644 src/source_msgraph/msgraph_spark/fetcher.py delete mode 100644 src/source_msgraph/msgraph_spark/options.py delete mode 100644 src/source_msgraph/msgraph_spark/utils.py delete mode 100644 src/source_msgraph/resource_resolver.py create mode 100644 src/source_msgraph/resources.py delete mode 100644 src/source_msgraph/resources/base_options.py delete mode 100644 src/source_msgraph/resources/sites/lists.py create mode 100644 src/source_msgraph/utils.py diff --git a/poetry.lock b/poetry.lock index 93ea9b1..6d15189 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1241,6 +1241,22 @@ traitlets = ">=5.3" docs = ["myst-parser", "pydata-sphinx-theme", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "traitlets"] test = ["ipykernel", "pre-commit", "pytest (<8)", "pytest-cov", "pytest-timeout"] +[[package]] +name = "markdown" +version = "3.7" +description = "Python implementation of John Gruber's Markdown." +optional = false +python-versions = ">=3.8" +groups = ["dev"] +files = [ + {file = "Markdown-3.7-py3-none-any.whl", hash = "sha256:7eb6df5690b81a1d7942992c97fad2938e956e79df20cbc6186e9c3a77b1c803"}, + {file = "markdown-3.7.tar.gz", hash = "sha256:2ae2471477cfd02dbbf038d5d9bc226d40def84b4fe2986e49b59b6b472bbed2"}, +] + +[package.extras] +docs = ["mdx-gh-links (>=0.2)", "mkdocs (>=1.5)", "mkdocs-gen-files", "mkdocs-literate-nav", "mkdocs-nature (>=0.6)", "mkdocs-section-index", "mkdocstrings[python]"] +testing = ["coverage", "pyyaml"] + [[package]] name = "matplotlib-inline" version = "0.1.7" @@ -2996,4 +3012,4 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.1" python-versions = ">=3.12,<4" -content-hash = "0e93752e1d11b7d2498b869c8d33af16ae953bcb8f92dbe7c6fe8d16bba409c4" +content-hash = "55fe3e2bccd32c0c86b24ee1f86e76a6137c76af323fb7d50cc53b9b5d5ca1f3" diff --git a/pyproject.toml b/pyproject.toml index 8d4fb75..b497866 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -30,6 +30,7 @@ grpcio = "^1.70.0" grpcio-status = "^1.60.1" pandas = "^2.2.0" ipykernel = "^6.29.5" +markdown = "^3.7" [build-system] requires = ["poetry-core>=2.0.0,<3.0.0"] diff --git a/src/source_msgraph/async_interator.py b/src/source_msgraph/async_interator.py index ad3bc6c..2069c2a 100644 --- a/src/source_msgraph/async_interator.py +++ b/src/source_msgraph/async_interator.py @@ -14,7 +14,6 @@ def __init__(self, async_gen: AsyncGenerator[Any, None]): Args: async_gen (AsyncGenerator): The async generator yielding results. - max_pages (int): Maximum allowed pages to fetch (prevents infinite loops). """ self.async_gen = async_gen self.loop = self._get_event_loop() @@ -56,3 +55,68 @@ def __iter__(self) -> Iterator: """Returns the synchronous iterator.""" return self.iterator + +import asyncio +from typing import AsyncGenerator, Iterator, Any + +class AsyncToSyncIteratorV2: + """ + Converts an async generator into a synchronous iterator while ensuring proper event loop handling. + """ + + def __init__(self, async_gen: AsyncGenerator[Any, None]): + """ + Initializes the iterator by consuming an async generator synchronously. + + Args: + async_gen (AsyncGenerator): The async generator yielding results. + """ + self.async_gen = async_gen + self.iterator = self._to_iterator() + + def _to_iterator(self) -> Iterator: + """ + Ensures that the async generator is consumed using the correct event loop. + Uses streaming (does not load all results into memory). + """ + try: + loop = asyncio.get_running_loop() + return self._sync_generator(loop) # Works inside Jupyter + except RuntimeError: + return iter(asyncio.run(self._collect_results())) # Works in scripts + + def _sync_generator(self, loop: asyncio.AbstractEventLoop) -> Iterator: + """ + Streams async results into a sync generator while inside a running event loop. + """ + queue = asyncio.Queue() + + async def _producer(): + """Fills the queue with async results.""" + async for item in self.async_gen: + await queue.put(item) + await queue.put(None) # Sentinel to signal completion + + async def _consumer(): + """Yields items from the queue in sync mode.""" + task = loop.create_task(_producer()) + while True: + item = await queue.get() + if item is None: + break + yield item + await task # Ensure producer task completes + + return iter(loop.run_until_complete(self._collect_results())) + + async def _collect_results(self): + """Collects async generator results into a list (safe for asyncio.run).""" + return [item async for item in self.async_gen] + + def __iter__(self) -> Iterator: + """Returns the synchronous iterator.""" + return self.iterator + + def __next__(self) -> Any: + """Returns the next item from the iterator.""" + return next(self.iterator) \ No newline at end of file diff --git a/src/source_msgraph/client.py b/src/source_msgraph/client.py new file mode 100644 index 0000000..3b888b6 --- /dev/null +++ b/src/source_msgraph/client.py @@ -0,0 +1,105 @@ +from msgraph import GraphServiceClient +from kiota_abstractions.base_request_configuration import RequestConfiguration +from msgraph.generated.models.o_data_errors.o_data_error import ODataError +from azure.identity import ClientSecretCredential +from source_msgraph.async_interator import AsyncToSyncIterator, AsyncToSyncIteratorV2 +from source_msgraph.models import ConnectorOptions +from source_msgraph.utils import get_python_schema, to_json, to_pyspark_schema + +class GraphClient: + def __init__(self, options: ConnectorOptions): + """ + Initializes the fetcher with the Graph client, resource path, and query parameters. + + + :param options: Connector options. + """ + credentials = ClientSecretCredential(options.tenant_id, options.client_id, options.client_secret) + self.graph_client = GraphServiceClient(credentials=credentials) + self.options: ConnectorOptions = options + + + async def fetch_data(self): + """ + Fetches data from Microsoft Graph using the dynamically built request. + Handles pagination automatically. + """ + query_parameters_cls = self.options.resource.get_query_parameters_cls() + + if query_parameters_cls: + try: + query_parameters_instance = query_parameters_cls() # Ensure it can be instantiated without arguments + except TypeError as e: + raise ValueError(f"Failed to instantiate {query_parameters_cls.__name__}: {e}") + + if self.options.resource.query_params: + for k, v in self.options.resource.query_params.items(): + k = k.removeprefix("%24") + if hasattr(query_parameters_instance, k): + setattr(query_parameters_instance, k, v) # Set attributes dynamically + else: + raise AttributeError(f"{query_parameters_cls.__name__} has no attribute '{k}'") + + request_configuration = RequestConfiguration( + query_parameters=query_parameters_instance + ) + + try: + builder = self.options.resource.get_request_builder_cls()(self.graph_client.request_adapter, self.options.resource.resource_params) + items = await builder.get(request_configuration=request_configuration) + while True: + print("Page fetched....") + for item in items.value: + yield item + if not items.odata_next_link: + break + items = await builder.with_url(items.odata_next_link).get() + + except ODataError as e: + raise Exception(f"Graph API Error: {e.error.message}") + + +def iter_records(options: ConnectorOptions): + """ + Iterates over records from the Microsoft Graph API. + + :param options: Connector options containing authentication credentials and resource details. + :return: A synchronous iterator over the fetched data. + :raises ValueError: If any required credentials or resource parameters are missing. + :raises GraphAPIError: If the API request fails. + """ + fetcher = GraphClient(options) + async_gen = fetcher.fetch_data() + return AsyncToSyncIterator(async_gen) + +import json +from typing import Dict, Any +from dataclasses import asdict + +def get_resource_schema(options: ConnectorOptions) -> Dict[str, Any]: + """ + Retrieves the schema of a Microsoft Graph API resource by fetching a single record. + + :param options: Connector options containing authentication credentials and resource details. + :return: A dictionary representing the schema of the resource. + :raises ValueError: If no records are found or if required options are missing. + :raises GraphAPIError: If the API request fails. + """ + fetcher = GraphClient(options) + async_gen = fetcher.fetch_data() + + try: + record = next(AsyncToSyncIteratorV2(async_gen), None) + if not record: + raise ValueError(f"No records found for resource: {options.resource.resource_name}") + record = to_json(record) + schema = to_pyspark_schema(get_python_schema(record)) + return record, schema + + except StopIteration: + raise ValueError(f"No records available for {options.resource.resource_name}") + +# Example usage +# options = ConnectorOptions(...) +# schema = get_resource_schema(options) +# print(json.dumps(schema, indent=2)) diff --git a/src/source_msgraph/constants.py b/src/source_msgraph/constants.py new file mode 100644 index 0000000..6a42334 --- /dev/null +++ b/src/source_msgraph/constants.py @@ -0,0 +1,2 @@ +# Base generated package for Microsoft Graph SDK +MSGRAPH_SDK_PACKAGE = "msgraph.generated" diff --git a/src/source_msgraph/generate_docs.py b/src/source_msgraph/generate_docs.py new file mode 100644 index 0000000..0903c63 --- /dev/null +++ b/src/source_msgraph/generate_docs.py @@ -0,0 +1,84 @@ +import os +from urllib.parse import unquote +from source_msgraph.models import BaseResource +from source_msgraph.resources import RESOURCE_CONFIGS + +def generate_markdown(resource: BaseResource) -> str: + """ + Generates sophisticated markdown documentation for a given BaseResource. + """ + md_content = [f"# {resource.name.capitalize()} Resource", ""] + md_content.append(f"**Resource Name:** `{resource.name.lower()}`") + + + md_content.append("\n## Overview") + md_content.append(f"The `{resource.name}` resource provides a structured way to interact with Microsoft Graph API.") + md_content.append("This resource supports operations such as retrieval and filtering of data.") + + md_content.append("\n## Resource Parameters") + if len(resource.resource_params.keys()) > 0: + md_content.append("| Parameter | Type | Required | Description |") + md_content.append("|-----------|------|----------|-------------|") + for param in resource.resource_params or {}: + md_content.append(f"| `{unquote(param)}` | `str` | ✅ | Required path parameter for resource access. |") + else: + md_content.append(f"> No parameters required for `{resource.name.lower()}` resource.") + + + md_content.append("\n## Query Parameters") + if len(resource.query_params.keys()) > 0: + md_content.append("| Parameter | Type | Required | Description |") + md_content.append("|-----------|------|----------|-------------|") + for param in resource.query_params or {}: + md_content.append(f"| `{unquote(param)}` | `str` | ❌ | Optional query parameter to refine the API request. |") + else: + md_content.append(f">> No query parameters are required for `{resource.name.lower()}` resource.") + + md_content.append("---") + + md_content.append("Tip: Please refer [Microsoft Graph API]() documentation if you don't see a field. This can be resolved by provising `expand` option.") + + md_content.append("\n## Example Usage") + md_content.append("```python") + md_content.append("from source_msgraph.source import MSGraphDataSource") + md_content.append("spark.dataSource.register(MSGraphDataSource)") + md_content.append("") + md_content.append("# Read data using Microsoft Graph") + md_content.append("df = spark.read.format(\"msgraph\") ") + md_content.append(" .option(\"tenant_id\", tenant_id)") + md_content.append(" .option(\"client_id\", client_id)") + md_content.append(" .option(\"client_secret\", client_secret)") + md_content.append(f" .option(\"resource\", \"{resource.name}\")") + for param in resource.resource_params or {}: + md_content.append(f" .option(\"{param}\", \"\")") + for param in resource.query_params or {}: + md_content.append(f" .option(\"{param}\", \"\")") + md_content.append(" .schema(\"id string, eTag string\")") + md_content.append(" .load()") + md_content.append("") + md_content.append("df.show()") + md_content.append("```") + + return "\n".join(md_content) + +def generate_docs(output_dir: str = "docs"): + """ + Generates sophisticated markdown documentation for all configured resources. + """ + os.makedirs(output_dir, exist_ok=True) + + for config in RESOURCE_CONFIGS: + resource = BaseResource( + name=config["name"], + resource_name=config["resource_name"], + request_builder_module=config["request_builder_module"] + ) + + md_content = generate_markdown(resource) + file_path = os.path.join(output_dir, f"{resource.name}.md") + with open(file_path, "w", encoding="utf-8") as f: + f.write(md_content) + print(f"Generated documentation: {file_path}") + +if __name__ == "__main__": + generate_docs() \ No newline at end of file diff --git a/src/source_msgraph/graph.py b/src/source_msgraph/graph.py deleted file mode 100644 index bd9bc6a..0000000 --- a/src/source_msgraph/graph.py +++ /dev/null @@ -1,84 +0,0 @@ -# https://graph.microsoft.com/v1.0/sites/rapidcircle1com.sharepoint.com:/teams/msteams_49b7aa_734222/ -# Get id by _api/site/id -# team sites are also available through https://graph.microsoft.com/v1.0/sites/9892ec2f-dd7b-4fbd-a896-2fa239f6b805/lists/ -# -# - -import asyncio -from kiota_abstractions.base_request_configuration import RequestConfiguration -from msgraph.generated.sites.item.lists.item.items.items_request_builder import ItemsRequestBuilder -import json - -from msgraph import GraphServiceClient -from azure.identity import ClientSecretCredential - -from source_msgraph.async_interator import AsyncToSyncIterator -from source_msgraph.msgraph_spark.fetcher import MicrosoftGraphFetcher -from source_msgraph.msgraph_spark.options import MicrosoftGraphOptions - -tenant_id = "7c78a7a0-8b3b-4d54-8c3c-ca6ab4da029f" -client_id = "59c8283d-4a90-44a9-9a58-579a0e511168" -client_secret = "gwz8Q~FJMTs_~yVNbYou3dU27UMBdKIrYg2s7bpg" - - -credentials = ClientSecretCredential( - tenant_id=tenant_id, client_id=client_id, client_secret=client_secret) - -# from microsoft.kiota.serialization.json.json_serialization_writer_factory import JsonSerializationWriterFactory - - -graph_client = GraphServiceClient(credentials=credentials, scopes=[ - 'https://graph.microsoft.com/.default']) - - - - -async def fetch_items_async(graph_client, site_id, list_id, **params): - query_parameters = ItemsRequestBuilder.ItemsRequestBuilderGetQueryParameters(**params, - expand=["fields"]) - request_configuration = RequestConfiguration( - query_parameters=query_parameters, - ) - - items = await graph_client.sites.by_site_id(site_id).lists.by_list_id(list_id).items.get(request_configuration=request_configuration) - - while True: - print("Page fetched....") - for item in items.value: - yield item - if not items.odata_next_link: - break - items = await graph_client.sites.by_site_id(site_id).lists.by_list_id(list_id).items.with_url(items.odata_next_link).get() - - -def fetch_items_sync(graph_client, site_id, list_id, params): - async_gen = fetch_items_async(graph_client, site_id, list_id, **params) - return AsyncToSyncIterator(async_gen) - - -def main(): - options = MicrosoftGraphOptions( - tenant_id=tenant_id, - client_id=client_id, - client_secret=client_secret, - resource="sites/by_site_id/lists/by_list_id/items", - params={ - "top": 1, - "expand": ["fields"] - } - ) - resource_path = "sites/by_site_id/lists/by_list_id/items" - params = { - "site_id": "37d7dde8-0b6b-4b7c-a2fd-2e217f54a263", # Actual site ID - "list_id": "5ecf26db-0161-4069-b763-856217415099", # Actual list ID - "top": 5, - "expand": ["fields"] - } - fetcher = MicrosoftGraphFetcher(graph_client, resource_path, params) - async_gen = fetcher.fetch_data() - for row in AsyncToSyncIterator(async_gen): - print(row) - - -if __name__ == "__main__": - main() \ No newline at end of file diff --git a/src/source_msgraph/models.py b/src/source_msgraph/models.py new file mode 100644 index 0000000..08a834f --- /dev/null +++ b/src/source_msgraph/models.py @@ -0,0 +1,172 @@ +from dataclasses import dataclass +import importlib +import inspect +import re +from typing import Any, Dict +from source_msgraph.constants import MSGRAPH_SDK_PACKAGE +from urllib.parse import unquote, quote +from kiota_abstractions.base_request_builder import BaseRequestBuilder + +@dataclass +class BaseResource: + name: str # User friendly name for Spark reader + resource_name: str # Microsoft Graph leaf resource name + request_builder_module: str + query_params: Dict[str, Any] = None + resource_params: Dict[str, Any] = None + request_builder_cls_name: str = None + request_builder_query_cls_name: str = None + + def __post_init__(self): + if not self.name: + raise ValueError("name is required") + + self.request_builder_cls_name = self._pascal_case(f"{self.resource_name}_request_builder") + #self.request_builder_cls = self.get_request_builder_cls() + self.request_builder_query_cls_name = self._pascal_case(f"{self.resource_name}_request_builder_get_query_parameters") + #self.query_parameters_cls = self.get_query_parameters_cls() + self.parse_url_template() + + + @classmethod + def _pascal_case(cls, snake_str: str) -> str: + """ + Converts snake_case to PascalCase. + Example: "items_request_builder" -> "ItemsRequestBuilder" + """ + return "".join(word.title() for word in snake_str.split("_")) + + def get_query_parameters_cls(self): + """ + Retrieves the query parameters class from the request builder module. + """ + try: + module = importlib.import_module(f"{MSGRAPH_SDK_PACKAGE}.{self.request_builder_module}") + request_builder_cls = getattr(module, self.request_builder_cls_name, None) + + if not request_builder_cls or not issubclass(request_builder_cls, BaseRequestBuilder): + raise AttributeError(f"{self.request_builder_cls_name} not found in {module.__name__}") + + # Inspect the attributes to find the query parameters class + + for attr in dir(request_builder_cls): + if attr == self.request_builder_query_cls_name: + return getattr(request_builder_cls, attr) + raise AttributeError(f"{self.request_builder_query_cls_name} not found in {module.__name__}") + + except ModuleNotFoundError: + raise ImportError(f"Module {self.request_builder_module} not found in {MSGRAPH_SDK_PACKAGE}") + + def get_request_builder_cls(self) -> BaseRequestBuilder: + """ + Dynamically imports a module and finds the RequestBuilder class. + """ + try: + module = importlib.import_module(f"{MSGRAPH_SDK_PACKAGE}.{self.request_builder_module}") + for attr in dir(module): + if attr == self.request_builder_cls_name: + cls = getattr(module, attr) + if not issubclass(cls, BaseRequestBuilder): + raise AttributeError(f"{attr} is not a subclass of BaseRequestBuilder") + return cls + except ImportError: + raise ImportError(f"Module {self.request_builder_module} not found in {MSGRAPH_SDK_PACKAGE}") + + def get_request_builder_url_template(self): + """ + Extracts the `url_template` by analyzing the source code of the class. + """ + try: + cls = self.get_request_builder_cls() + if inspect.isclass(cls) and hasattr(cls, "__init__"): + # Extract the __init__ function source code + init_source = inspect.getsource(cls.__init__) + if "super().__init__(" in init_source: + lines = init_source.split("\n") + for line in lines: + if "super().__init__(" in line: + match = re.search(r'super\(\).__init__\s*\([^,]+,\s*"([^"]+)"', line) + if match: + url_template = match.group(1).replace('"', "").replace("'", "") + return url_template + + except TypeError: + raise TypeError(f"Error extracting URL template from {cls.__name__}") + + def parse_url_template(self): + """ + Parses the `url_template` string to extract path parameters and query parameters. + """ + url_template = self.get_request_builder_url_template() + if not url_template: + raise ValueError("URL template not found in request builder class") + + # Extract path parameters (decode %2Did → _id) + path_parameters = [ + unquote(match.group(1)).replace("%2D", "_") + for match in re.finditer(r"\{([^?}]+)\}", url_template) + if match.group(1).lower() != "+baseurl" + ] + + # Extract query parameters (decode %24expand → $expand) + query_match = re.search(r"\{\?([^}]+)\}", url_template) + query_parameters = ( + [unquote(q).replace("%24", "$") for q in query_match.group(1).split(",")] + if query_match else [] + ) + + self.resource_params = {k:None for k in path_parameters} + self.query_params = {qp.strip().replace("$", ""): None for qp in query_parameters} + + + def map_options_to_params(self, options: Dict[str, Any]) -> 'BaseResource': + """ + Maps the provided options to either query parameters or resource parameters. + + :param options: Dictionary of options provided by the user. + :param query_params: List of valid query parameter names. + :param resource_params: List of valid resource parameter names. + :return: A tuple (mapped_query_params, mapped_resource_params, invalid_params) + """ + missing_params = [param for param in self.resource_params if param not in options] + + if missing_params: + raise ValueError(f"Missing required resource parameters: {', '.join(missing_params)}") + + mapped_query_params = {"%24"+k: v for k, v in options.items() if k in self.query_params} + + mapped_resource_params = {k.replace("-", "%2D"): v for k, v in options.items() if k in self.resource_params} + + invalid_params = {k: v for k, v in options.items() if k not in self.query_params and k not in self.resource_params} + + if len(invalid_params) > 0: + raise ValueError(f"Extra parameters {invalid_params} not allowed.") + + self.query_params = mapped_query_params + self.resource_params = mapped_resource_params + + return self + +GUID_PATTERN = re.compile(r"^[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}$") + + +@dataclass +class ConnectorOptions: + """Options for Microsoft Graph API requests with strict resource_path validation.""" + tenant_id: str + client_id: str + client_secret: str + resource: BaseResource + def __post_init__(self): + ... + + def _validate_credentials(self): + """Validates the format and presence of credentials.""" + if not self.tenant_id or not GUID_PATTERN.match(self.tenant_id): + raise ValueError("Invalid tenant_id: must be a valid GUID.") + + if not self.client_id or not GUID_PATTERN.match(self.client_id): + raise ValueError("Invalid client_id: must be a valid GUID.") + + if not self.client_secret or not isinstance(self.client_secret, str): + raise ValueError("Invalid client_secret: must be a non-empty string.") \ No newline at end of file diff --git a/src/source_msgraph/msgraph_spark/client.py b/src/source_msgraph/msgraph_spark/client.py deleted file mode 100644 index 68dd24e..0000000 --- a/src/source_msgraph/msgraph_spark/client.py +++ /dev/null @@ -1,23 +0,0 @@ -from typing import Union -from pyspark.sql.types import StructType - -from source_msgraph.async_interator import AsyncToSyncIterator -from source_msgraph.msgraph_spark.fetcher import MicrosoftGraphFetcher -from source_msgraph.msgraph_spark.options import MicrosoftGraphOptions -from azure.identity import ClientSecretCredential -from msgraph import GraphServiceClient - -def iter_records(schema: Union[StructType, str], options: MicrosoftGraphOptions): - # Authenticate using ClientSecretCredential - credentials = ClientSecretCredential( - tenant_id=options.tenant_id, - client_id=options.client_id, - client_secret=options.client_secret - ) - - # Initialize Graph Client - client = GraphServiceClient(credentials=credentials, scopes=["https://graph.microsoft.com/.default"]) - - fetcher = MicrosoftGraphFetcher(client, options.resource_path, options.query_params, options.resource_options) - async_gen = fetcher.fetch_data() - return AsyncToSyncIterator(async_gen) \ No newline at end of file diff --git a/src/source_msgraph/msgraph_spark/fetcher.py b/src/source_msgraph/msgraph_spark/fetcher.py deleted file mode 100644 index db1ff2e..0000000 --- a/src/source_msgraph/msgraph_spark/fetcher.py +++ /dev/null @@ -1,139 +0,0 @@ -import importlib -from msgraph import GraphServiceClient -from kiota_abstractions.base_request_configuration import RequestConfiguration -from msgraph.generated.models.o_data_errors.o_data_error import ODataError -from typing import Dict, Any -import asyncio - -class MicrosoftGraphFetcher: - def __init__(self, graph_client: GraphServiceClient, resource_path: str, query_params: Dict[str, Any], resource_params: Dict[str, str]): - """ - Initializes the fetcher with the Graph client, resource path, and query parameters. - - :param graph_client: The authenticated GraphServiceClient instance. - :param resource_path: The resource path (e.g., "sites/by_site_id/lists/by_list_id/items"). - :param params: Query parameters for the request. - """ - self.graph_client = graph_client - self.resource_path = resource_path - self.query_params = query_params - self.resource_params = resource_params - - def _get_request_builder_class(self): - """ - Dynamically resolves the correct RequestBuilder class from `msgraph.generated`. - - Example: For "sites/by_site_id/lists/by_list_id/items", it will resolve: - `msgraph.generated.sites.item.lists.item.items.items_request_builder.ItemsRequestBuilder` - """ - path_parts = self.resource_path.split("/") - base_module = "msgraph.generated" - module_path = [] - class_name = "RequestBuilder" # Default fallback - - i = 0 - while i < len(path_parts): - part = path_parts[i] - - if part.startswith("by_"): # Handling {site_id}, {list_id}, etc. - module_path.append("item") # `by_site_id` means `.item` - - else: - module_path.append(part) - - i += 1 - - # Construct the full module path - module_name = f"{base_module}." + ".".join(module_path) + f".{module_path[-1]}_request_builder" - - try: - module = importlib.import_module(module_name) - pascal_case_class = self._pascal_case(f"{module_path[-1]}_request_builder") - - for attr in dir(module): - if attr == pascal_case_class: - return getattr(module, attr) - - raise ValueError(f"Could not find {pascal_case_class} in {module_name}") - - except ModuleNotFoundError: - raise ValueError(f"Could not resolve RequestBuilder for resource path: {self.resource_path}") - - def _pascal_case(self, snake_str: str) -> str: - """ - Converts snake_case to PascalCase. - Example: "items_request_builder" -> "ItemsRequestBuilder" - """ - return "".join(word.title() for word in snake_str.split("_")) - - def _get_query_parameters_class(self, request_builder_class): - """ - Fetches the corresponding `RequestBuilderGetQueryParameters` class dynamically. - """ - for attr in dir(request_builder_class): - if attr.endswith("RequestBuilderGetQueryParameters"): - return getattr(request_builder_class, attr) - raise ValueError(f"No QueryParameters class found for {request_builder_class.__name__}") - - async def fetch_data(self): - """ - Fetches data from Microsoft Graph using the dynamically built request. - Handles pagination automatically. - """ - request_builder_class = self._get_request_builder_class() - query_params_class = self._get_query_parameters_class(request_builder_class) - - - # Create Query Parameters object - valid_params = {p for p in query_params_class.__annotations__.keys()} - filtered_params = {k: v for k, v in self.query_params.items() if k in valid_params} - query_parameters = query_params_class(**filtered_params) - request_configuration = RequestConfiguration( - query_parameters=query_parameters, - ) - - # Get Request Builder Instance from Graph Client - builder = self._get_request_builder_instance(request_builder_class) - - try: - items = await builder.get(request_configuration=request_configuration) - while True: - print("Page fetched....") - for item in items.value: - yield item - if not items.odata_next_link: - break - items = await builder.with_url(items.odata_next_link).get() - - except ODataError as e: - raise Exception(f"Graph API Error: {e.error.message}") - - def _get_request_builder_instance(self, request_builder_class): - """ - Uses the `graph_client` to resolve the correct instance of the request builder dynamically, - passing actual `site_id`, `list_id`, etc., instead of placeholders. - """ - parts = self.resource_path.split("/") - builder = self.graph_client - - i = 0 - while i < len(parts): - part = parts[i] - - if part.startswith("by_"): # Handling "by_site_id", "by_list_id", etc. - param_name = part[3:] # Extract parameter name (e.g., "site_id", "list_id") - actual_id = self.resource_params.get(param_name) # Get actual ID from user input - if not actual_id: - raise ValueError(f"Missing required parameter: {param_name}") - method_name = part # Keep "by_site_id" format - - if hasattr(builder, method_name): - builder = getattr(builder, method_name)(actual_id) # Pass actual ID - elif hasattr(builder, part): - builder = getattr(builder, part) - else: - raise ValueError(f"Invalid resource path: '{part}' not found in {builder}") - - i += 1 - - return builder diff --git a/src/source_msgraph/msgraph_spark/options.py b/src/source_msgraph/msgraph_spark/options.py deleted file mode 100644 index 06aad9c..0000000 --- a/src/source_msgraph/msgraph_spark/options.py +++ /dev/null @@ -1,55 +0,0 @@ -from dataclasses import dataclass, field -from typing import Optional, Dict, Any - - -@dataclass -class MicrosoftGraphOptions: - """Options for Microsoft Graph API requests with strict resource_path validation.""" - tenant_id: str - client_id: str - client_secret: str - resource_path: str # Unique identifier, e.g., "sites/{site_id}/lists/{list_id}" - query_params: Dict[str, Any] = field(default_factory=dict) # Query params like 'top', 'filter' - resource_options: Dict[str, Any] = field(default_factory=dict) # Other resource-specific options - - def __post_init__(self): - """Validate query params and resource options based on full resource_path.""" - self.validate_query_params() - self.validate_resource_options() - - - def validate_query_params(self): - """Validate query parameters against the allowed list for the full resource path.""" - valid_query_options = self.get_valid_query_options() - invalid_keys = [key for key in self.query_params if key not in valid_query_options] - if invalid_keys: - raise ValueError(f"Invalid query parameters for {self.resource_path}: {invalid_keys}") - - def validate_resource_options(self): - """Validate resource-specific options based on the full resource_path.""" - valid_options = self.get_valid_resource_options() - invalid_keys = [key for key in self.resource_options if key not in valid_options] - if invalid_keys: - raise ValueError(f"Invalid resource options for {self.resource_path}: {invalid_keys}") - - def get_valid_query_options(self): - """Returns allowed query parameters based on the full resource path.""" - valid_query_map = { - "sites/by_site_id/lists/by_list_id/items": {"top", "filter", "orderby", "expand"}, - } - return valid_query_map.get(self.resource_path, set()) - - def get_valid_resource_options(self): - """Returns allowed resource options based on the full resource path.""" - valid_resource_map = { - "sites/by_site_id/lists/by_list_id/items": {"site_id", "list_id"}, - - } - return valid_resource_map.get(self.resource_path, set()) - - def get_request_parameters(self): - """Returns structured parameters for Microsoft Graph SDK.""" - return { - "query_params": self.query_params, - "resource_options": self.resource_options - } diff --git a/src/source_msgraph/msgraph_spark/utils.py b/src/source_msgraph/msgraph_spark/utils.py deleted file mode 100644 index 858f942..0000000 --- a/src/source_msgraph/msgraph_spark/utils.py +++ /dev/null @@ -1,15 +0,0 @@ -from kiota_serialization_json.json_serialization_writer_factory import JsonSerializationWriterFactory -import json -# Convert to JSON using Kiota -writer_factory = JsonSerializationWriterFactory() -writer = writer_factory.get_serialization_writer("application/json") - -def to_json(value): - value.serialize(writer) - # Get JSON string - return json.loads((writer.get_serialized_content().decode("utf-8"))) - -def to_jsonValue(value): - value.serialize(writer) - # Get JSON string - return str(json.loads((writer.get_serialized_content().decode("utf-8")))) \ No newline at end of file diff --git a/src/source_msgraph/resource_resolver.py b/src/source_msgraph/resource_resolver.py deleted file mode 100644 index bd5356f..0000000 --- a/src/source_msgraph/resource_resolver.py +++ /dev/null @@ -1,18 +0,0 @@ -import importlib - -def resolve_resource_class(resource_path: str): - """Resolve the appropriate resource handler based on the resource path.""" - parts = resource_path.split('/') - module_name = "source_msgraph" - - for depth in range(min(len(parts), 5)): # Limit depth to 5 - module_name += f".{parts[depth]}" - try: - module = importlib.import_module(module_name) - if hasattr(module, "ResourceHandler"): - return module.ResourceHandler - except ModuleNotFoundError: - continue # Try next level - - # TODO: Implement BaseResource if required at all - raise ValueError(f"No handler found for resource: {resource_path}") diff --git a/src/source_msgraph/resources.py b/src/source_msgraph/resources.py new file mode 100644 index 0000000..43e5b08 --- /dev/null +++ b/src/source_msgraph/resources.py @@ -0,0 +1,30 @@ +# Define the resources to generate +from source_msgraph.models import BaseResource + + +RESOURCE_CONFIGS = [ + {"name": "sites", "resource_name": "sites", "request_builder_module": "sites.sites_request_builder"}, + {"name": "lists", "resource_name": "lists", "request_builder_module": "sites.item.lists.lists_request_builder"}, + {"name": "list_items", "resource_name": "items", "request_builder_module": "sites.item.lists.item.items.items_request_builder"}, +] + + + +def get_resource(name: str): + """ + Generates a list of BaseResource instances for specified Microsoft Graph resources. + """ + config = next((config for config in RESOURCE_CONFIGS if config["name"] == name), None) + if not config: + raise ValueError(f"Resource '{name}' is not supported yet. stay tuned!") + + # Create and store the BaseResource instance + resource = BaseResource( + name=config["name"], + resource_name=config["resource_name"], + request_builder_module=config["request_builder_module"] + ) + return resource + + + diff --git a/src/source_msgraph/resources/base_options.py b/src/source_msgraph/resources/base_options.py deleted file mode 100644 index ea65da4..0000000 --- a/src/source_msgraph/resources/base_options.py +++ /dev/null @@ -1,18 +0,0 @@ -from dataclasses import dataclass, field -from typing import Optional, Dict, Any - - -@dataclass -class MicrosoftGraphResourceOptions: - """Base dataclass for Microsoft Graph resource options.""" - - # resource: str # e.g., "users", "sites", "groups" - # sub_resource: Optional[str] = None # e.g., for sites: "lists", "drive" - # params: Dict[str, Any] = field(default_factory=dict) # Additional query params - - # def validate(self): - # """Base validation for all resources.""" - # if not self.resource: - # raise ValueError("Resource is required.") - # if self.sub_resource and not isinstance(self.sub_resource, str): - # raise ValueError("Sub-resource must be a string.") \ No newline at end of file diff --git a/src/source_msgraph/resources/sites/lists.py b/src/source_msgraph/resources/sites/lists.py deleted file mode 100644 index e3fa75f..0000000 --- a/src/source_msgraph/resources/sites/lists.py +++ /dev/null @@ -1,48 +0,0 @@ -from dataclasses import dataclass -from typing import Optional -from msgraph import GraphServiceClient -from msgraph.generated.sites.item.lists.item.items.items_request_builder import ItemsRequestBuilder -from kiota_abstractions.base_request_configuration import RequestConfiguration -from source_msgraph.async_interator import AsyncToSyncIterator -from source_msgraph.resources.base_options import MicrosoftGraphResourceOptions - -@dataclass -class SharePointListOptions(MicrosoftGraphResourceOptions): - site_id: str - list_id: Optional[str] = None - - def validate(self): - super().validate() - if not self.site_id: - raise ValueError("site_id is required for SharePoint lists.") - if self.sub_resource == "lists" and not self.list_id: - raise ValueError("list_id is required when accessing lists.") - - -class ResourceHandler: - def __init__(self, client: GraphServiceClient, params: dict): - self.client = client - self.params = SharePointListOptions(**params) - - async def fetch_items_async(self, site_id, list_id, **params): - query_parameters = ItemsRequestBuilder.ItemsRequestBuilderGetQueryParameters(**params, - expand=["fields"]) - request_configuration = RequestConfiguration( - query_parameters=query_parameters, - ) - - items = await self.client.sites.by_site_id(site_id).lists.by_list_id(list_id).items.get(request_configuration=request_configuration) - - while True: - print("Page fetched....") - for item in items.value: - yield item - if not items.odata_next_link: - break - items = await self.client.sites.by_site_id(site_id).lists.by_list_id(list_id).items.with_url(items.odata_next_link).get() - - - def fetch_items_sync(self, site_id, list_id, params): - async_gen = self.fetch_items_async(self.client, site_id, list_id, **params) - return AsyncToSyncIterator(async_gen) - diff --git a/src/source_msgraph/source.py b/src/source_msgraph/source.py index dfc0f48..d02383f 100644 --- a/src/source_msgraph/source.py +++ b/src/source_msgraph/source.py @@ -1,10 +1,10 @@ -from typing import Union +from typing import Any, Dict, Union from pyspark.sql.datasource import DataSource, DataSourceReader from pyspark.sql.types import StructType -from source_msgraph.async_interator import AsyncToSyncIterator -from source_msgraph.msgraph_spark.client import iter_records -from source_msgraph.msgraph_spark.options import MicrosoftGraphOptions +from source_msgraph.client import get_resource_schema, iter_records +from source_msgraph.models import ConnectorOptions +from source_msgraph.resources import get_resource # Reference https://learn.microsoft.com/en-us/azure/databricks/pyspark/datasources @@ -12,50 +12,49 @@ class MSGraphDataSource(DataSource): """ """ - def __init__(self, options): + def __init__(self, options: Dict[str, Any]): + + tenant_id=options.pop("tenant_id") + client_id=options.pop("client_id") + client_secret=options.pop("client_secret") + + resource_name = options.pop("resource") + if not resource_name: + raise ValueError("resource is missing, please provide a valid resource name.") - # Extract query options - query_option_keys = {"top", "filter", "orderby", "expand", "select"} - query_options = {k: v for k, v in options.items() if k in query_option_keys} - - # Filter out credentials and query options - resource_options = { - k: v for k, v in options.items() - if k not in {"tenant_id", "client_id", "client_secret", "resource_path"} and k not in query_option_keys - } - - # Initialize MicrosoftGraphOptions - self.options = MicrosoftGraphOptions( - tenant_id=options["tenant_id"], - client_id=options["client_id"], - client_secret=options["client_secret"], - resource_path=options["resource_path"], - query_params=query_options, - resource_options=resource_options + resource = get_resource(resource_name).map_options_to_params(options) + + self.connector_options: ConnectorOptions = ConnectorOptions( + tenant_id=tenant_id, + client_id=client_id, + client_secret=client_secret, + resource=resource ) + @classmethod def name(cls): return "msgraph" def schema(self): - return "id string" + print("getting aschema") + _, schema = get_resource_schema(self.connector_options) + return schema def reader(self, schema: StructType): - return MSGraphDataSourceReader(self.options, schema) + return MSGraphDataSourceReader(self.connector_options, schema) class MSGraphDataSourceReader(DataSourceReader): - def __init__(self, options:MicrosoftGraphOptions, schema: Union[StructType, str]): + def __init__(self, options: ConnectorOptions, schema: Union[StructType, str]): self.schema: StructType = schema - self.options:MicrosoftGraphOptions = options + self.options:ConnectorOptions = options def read(self, partition): - from source_msgraph.msgraph_spark.utils import to_json + from source_msgraph.utils import to_json from pyspark.sql import Row - for row in iter_records(self.schema, self.options): - j = to_json(row) - yield Row(**{ - "id": j.get("id", None) - }) + for row in iter_records(self.options): + row = to_json(row) + row_data = {f.name: row.get(f.name, None) for f in self.schema.fields} + yield Row(**row_data) diff --git a/src/source_msgraph/utils.py b/src/source_msgraph/utils.py new file mode 100644 index 0000000..b878c2a --- /dev/null +++ b/src/source_msgraph/utils.py @@ -0,0 +1,91 @@ +from typing import Any +from kiota_serialization_json.json_serialization_writer_factory import JsonSerializationWriterFactory +import json + +from pyspark.sql.types import ( + StructType, StructField, StringType, IntegerType, DoubleType, BooleanType, + MapType, ArrayType, TimestampType, DateType, LongType, BinaryType, DecimalType +) + +from datetime import datetime, date +from decimal import Decimal + +# Convert to JSON using Kiota +writer_factory = JsonSerializationWriterFactory() +writer = writer_factory.get_serialization_writer("application/json") + +def to_json(value): + value.serialize(writer) + # Get JSON string + return json.loads((writer.get_serialized_content().decode("utf-8"))) + +def to_jsonValue(value): + value.serialize(writer) + # Get JSON string + return str(json.loads((writer.get_serialized_content().decode("utf-8")))) + + + +def get_python_schema(obj:Any): + """ + Recursively extracts the schema from a Python object. + + :param obj: The Python object (dict, list, int, str, etc.). + :return: A schema dictionary representing field types. + """ + if isinstance(obj, bool): + return "bool" + elif isinstance(obj, dict): + return {key: get_python_schema(value) for key, value in obj.items()} + elif isinstance(obj, list): + if obj: # Assume first element type (homogeneous lists) + return [get_python_schema(obj[0])] + return ["any"] # Empty lists default to "any" + elif isinstance(obj, str): + return "str" + elif isinstance(obj, int): + return "int" + elif isinstance(obj, float): + return "float" + elif isinstance(obj, datetime): + return "datetime" + elif isinstance(obj, date): + return "date" + elif isinstance(obj, Decimal): + return "decimal" + elif obj is None: + return "null" + return "unknown" # Fallback for unrecognized types + +def to_pyspark_schema(schema_dict): + """ + Recursively converts a nested Python schema dictionary to a PySpark StructType schema. + + :param schema_dict: Dictionary with field names as keys and data types as values. + :return: PySpark StructType schema. + """ + type_mapping = { + "str": StringType(), + "int": IntegerType(), + "float": DoubleType(), + "bool": BooleanType(), + "datetime": TimestampType(), + "date": DateType(), + "long": LongType(), + "binary": BinaryType(), + "decimal": DecimalType(38, 18), + "unknown": StringType() + } + + def convert_type(value): + """Recursively converts types, handling nested dicts and lists.""" + if isinstance(value, dict): # Nested structure + return StructType([StructField(k, convert_type(v), True) for k, v in value.items()]) + elif isinstance(value, list): # List of elements (assume first element type) + if not value: + return ArrayType(StringType()) # Default to list of strings if empty + return ArrayType(convert_type(value[0])) + return type_mapping.get(value, StringType()) # Default to StringType + + struct_fields = [StructField(field, convert_type(dtype), True) for field, dtype in schema_dict.items()] + return StructType(struct_fields) \ No newline at end of file