diff --git a/.env.example b/.env.example index 3954b6b..3525ef0 100644 --- a/.env.example +++ b/.env.example @@ -14,3 +14,25 @@ OPENAI_API_KEY= # in production so secrets decrypt across restarts and machines. Generate one: # python -c "from cryptography.fernet import Fernet; print(Fernet.generate_key().decode())" LANG2SQL_SECRET_KEY= + +# ── Database connection ────────────────────────────────────────────────── +# The default explorer is chosen from these (precedence: LANG2SQL_DB_URL, then +# Cloudflare D1, else an offline canned stub). Install the matching driver +# extra, e.g. uv sync --extra postgres (or bigquery/snowflake/mysql/duckdb). +# +# Any SQLAlchemy URL works (one adapter, many engines): +# postgresql+psycopg://user:pass@host:5432/dbname +# bigquery://project/dataset +# snowflake://user:pass@account/db/schema?warehouse=wh +# mysql+pymysql://user:pass@host/dbname +# duckdb:////absolute/path/to/file.duckdb +LANG2SQL_DB_URL= +# Optional default schema for the SQLAlchemy explorer. +LANG2SQL_DB_SCHEMA= + +# Cloudflare D1 (used when LANG2SQL_DB_URL is unset). D1 is SQLite over an HTTP +# API — no driver needed. Find IDs in the Cloudflare dashboard → D1. +CLOUDFLARE_D1_ACCOUNT_ID= +CLOUDFLARE_D1_DATABASE_ID= +# API token with D1 read access (Account → API Tokens). Required for D1 queries. +CLOUDFLARE_API_TOKEN= diff --git a/pyproject.toml b/pyproject.toml index 77062ec..57cf4cf 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -14,11 +14,24 @@ authors = [ dependencies = [ "discord.py>=2.3,<3.0", # Phase 1 frontend transport "cryptography>=42.0", # EncryptedSecrets at-rest encryption + "sqlalchemy>=2.0", # generic DB explorer (one adapter, many engines) ] [project.optional-dependencies] -# Real outbound adapters (V1 ships urllib OpenAI + stub PG; these enable v1.5 swaps) -postgres = ["psycopg[binary]>=3.2,<4.0"] +# DB driver extras. The SQLAlchemyExplorer is dialect-agnostic; install only the +# drivers you connect to. Cloudflare D1 needs no driver (HTTP API via stdlib). +postgres = ["psycopg[binary]>=3.2,<4.0"] +bigquery = ["sqlalchemy-bigquery>=1.11"] +snowflake = ["snowflake-sqlalchemy>=1.6"] +mysql = ["pymysql>=1.1"] +duckdb = ["duckdb-engine>=0.13"] +all-db = [ + "psycopg[binary]>=3.2,<4.0", + "sqlalchemy-bigquery>=1.11", + "snowflake-sqlalchemy>=1.6", + "pymysql>=1.1", + "duckdb-engine>=0.13", +] [project.scripts] lang2sql = "lang2sql.frontends.cli.app:main" diff --git a/src/lang2sql/adapters/db/__init__.py b/src/lang2sql/adapters/db/__init__.py index 99cfe06..08c02ae 100644 --- a/src/lang2sql/adapters/db/__init__.py +++ b/src/lang2sql/adapters/db/__init__.py @@ -1,7 +1,20 @@ -"""DB adapters — :class:`ExplorerPort` impls.""" +"""DB adapters — :class:`ExplorerPort` impls + the connection factory. + +``build_explorer`` routes a connection string to the right adapter: +Cloudflare D1 over its HTTP API, everything else over generic SQLAlchemy. +""" from __future__ import annotations +from .d1_explorer import D1Explorer +from .factory import build_explorer, explorer_from_env from .postgres_explorer import PostgresExplorer +from .sqlalchemy_explorer import SqlAlchemyExplorer -__all__ = ["PostgresExplorer"] +__all__ = [ + "build_explorer", + "explorer_from_env", + "D1Explorer", + "SqlAlchemyExplorer", + "PostgresExplorer", +] diff --git a/src/lang2sql/adapters/db/d1_explorer.py b/src/lang2sql/adapters/db/d1_explorer.py new file mode 100644 index 0000000..1eda630 --- /dev/null +++ b/src/lang2sql/adapters/db/d1_explorer.py @@ -0,0 +1,116 @@ +"""Cloudflare D1 explorer — read-only introspection over the D1 HTTP API. + +D1 is SQLite that lives on Cloudflare's edge and is only reachable from a Worker +or over the REST query endpoint. A Python process (our Discord bot) uses the +**HTTP Query API**: + + POST /client/v4/accounts/{account_id}/d1/database/{database_id}/query + Authorization: Bearer + {"sql": "...", "params": [...]} + +Since D1 *is* SQLite, schema introspection uses ``sqlite_master`` / ``PRAGMA``. +The HTTP call is injectable (``transport``) so the adapter is unit-testable with +no network. +""" + +from __future__ import annotations + +import asyncio +import json +import os +import urllib.request +from typing import Any, Callable + +from ...core.ports.explorer import Column, Table + +_API_ROOT = "https://api.cloudflare.com/client/v4" + +# A transport takes (sql, params) and returns the parsed D1 JSON response. +Transport = Callable[[str, list], dict] + + +class D1Explorer: + """ExplorerPort backed by Cloudflare D1's HTTP query API.""" + + def __init__( + self, + account_id: str, + database_id: str, + token: str | None = None, + *, + transport: Transport | None = None, + timeout: float = 30.0, + ) -> None: + self.account_id = account_id + self.database_id = database_id + self._token = token if token is not None else os.environ.get("CLOUDFLARE_API_TOKEN") + self._timeout = timeout + self._transport = transport or self._http_transport + + # --- ExplorerPort ---------------------------------------------------- + + async def list_tables(self) -> list[Table]: + rows = await self._query( + "SELECT name FROM sqlite_master WHERE type='table' " + "AND name NOT LIKE 'sqlite_%' AND name NOT LIKE '_cf_%' ORDER BY name" + ) + return [Table(name=r["name"], schema="") for r in rows] + + async def describe_table(self, name: str) -> Table: + rows = await self._query(f"PRAGMA table_info({_ident(name)})") + cols = [ + Column(name=r["name"], type=r["type"] or "", nullable=not bool(r["notnull"])) + for r in rows + ] + return Table(name=name, schema="", columns=cols) + + async def sample_rows(self, name: str, limit: int = 5) -> list[dict]: + return await self._query(f"SELECT * FROM {_ident(name)} LIMIT {int(limit)}") + + async def execute(self, sql: str, limit: int = 1000) -> list[dict]: + rows = await self._query(sql) + return rows[: int(limit)] + + # --- internals ------------------------------------------------------- + + async def _query(self, sql: str, params: list | None = None) -> list[dict]: + resp = await asyncio.to_thread(self._transport, sql, params or []) + if not resp.get("success", False): + errors = resp.get("errors") or resp.get("messages") or "unknown D1 error" + raise RuntimeError(f"D1 query failed: {errors}") + result = resp.get("result") or [] + if not result: + return [] + # The query endpoint returns one result object per statement. + return result[0].get("results", []) or [] + + def _http_transport(self, sql: str, params: list) -> dict: + if not self._token: + raise RuntimeError("CLOUDFLARE_API_TOKEN not set (D1 requires an API token)") + url = ( + f"{_API_ROOT}/accounts/{self.account_id}" + f"/d1/database/{self.database_id}/query" + ) + body = json.dumps({"sql": sql, "params": params}).encode("utf-8") + req = urllib.request.Request( + url, + data=body, + method="POST", + headers={ + "Authorization": f"Bearer {self._token}", + "Content-Type": "application/json", + }, + ) + with urllib.request.urlopen(req, timeout=self._timeout) as resp: + return json.loads(resp.read().decode("utf-8")) + + +def _ident(name: str) -> str: + """Quote a SQLite identifier, rejecting anything that isn't a plain name. + + introspection helpers interpolate the table name into PRAGMA/SELECT where + binds aren't allowed, so we hard-validate to avoid injection. + """ + if not name.replace("_", "").isalnum(): + raise ValueError(f"unsafe table identifier: {name!r}") + return f'"{name}"' diff --git a/src/lang2sql/adapters/db/factory.py b/src/lang2sql/adapters/db/factory.py new file mode 100644 index 0000000..a42f361 --- /dev/null +++ b/src/lang2sql/adapters/db/factory.py @@ -0,0 +1,64 @@ +"""build_explorer — turn a connection string into the right ExplorerPort. + +This is what makes ``/connect`` trivial: the user (or env) gives one URL and the +factory routes it. Cloudflare D1 has its own HTTP adapter; everything else with +a normal SQLAlchemy URL goes through the generic SQLAlchemy explorer. + + d1:/// → D1Explorer (token from env) + postgresql+psycopg://user:…/db → SqlAlchemyExplorer + bigquery://project/dataset → SqlAlchemyExplorer + snowflake://user:…@account/db → SqlAlchemyExplorer + mysql+pymysql://… / duckdb:///… → SqlAlchemyExplorer +""" + +from __future__ import annotations + +import os +from urllib.parse import urlsplit + +from ...core.ports.explorer import ExplorerPort +from .d1_explorer import D1Explorer +from .sqlalchemy_explorer import SqlAlchemyExplorer + + +def build_explorer(connection: str, *, schema: str | None = None) -> ExplorerPort: + """Route a connection string to the matching explorer adapter. + + ``schema`` is forwarded to the SQLAlchemy explorer (ignored by D1, which is + schema-less SQLite). Raises ``ValueError`` on an empty/unparseable string. + """ + if not connection or not connection.strip(): + raise ValueError("empty connection string") + + scheme = urlsplit(connection).scheme.lower() + if not scheme: + raise ValueError(f"connection string has no scheme: {connection!r}") + + if scheme == "d1": + parts = urlsplit(connection) + account_id = parts.netloc + database_id = parts.path.lstrip("/") + if not account_id or not database_id: + raise ValueError("d1 URL must be d1:///") + return D1Explorer(account_id=account_id, database_id=database_id) + + # Anything else is assumed to be a SQLAlchemy URL (driver loaded lazily). + return SqlAlchemyExplorer(connection, schema=schema) + + +def explorer_from_env() -> ExplorerPort | None: + """Build an explorer from environment, or ``None`` if nothing is configured. + + Precedence: an explicit ``LANG2SQL_DB_URL`` wins; otherwise a pair of + ``CLOUDFLARE_D1_ACCOUNT_ID`` + ``CLOUDFLARE_D1_DATABASE_ID`` selects D1. + """ + url = os.environ.get("LANG2SQL_DB_URL") + if url: + return build_explorer(url, schema=os.environ.get("LANG2SQL_DB_SCHEMA")) + + account = os.environ.get("CLOUDFLARE_D1_ACCOUNT_ID") + database = os.environ.get("CLOUDFLARE_D1_DATABASE_ID") + if account and database: + return build_explorer(f"d1://{account}/{database}") + + return None diff --git a/src/lang2sql/adapters/db/sqlalchemy_explorer.py b/src/lang2sql/adapters/db/sqlalchemy_explorer.py new file mode 100644 index 0000000..fbacaad --- /dev/null +++ b/src/lang2sql/adapters/db/sqlalchemy_explorer.py @@ -0,0 +1,88 @@ +"""Generic SQLAlchemy explorer — one adapter, many engines. + +A single :class:`ExplorerPort` implementation that connects to anything +SQLAlchemy speaks (PostgreSQL, MySQL, Snowflake, BigQuery, DuckDB, SQLite, …) +purely from a connection URL. This is the "사용성" win: adding a new warehouse is +``pip install `` + a DSN, not a new adapter class. + +The engine is created lazily on first use so constructing the explorer (and +routing to it in the factory) never imports a driver that isn't installed. +Blocking DB calls run in a worker thread to keep the async event loop free. +""" + +from __future__ import annotations + +import asyncio +from typing import Any + +from ...core.ports.explorer import Column, Table + + +class SqlAlchemyExplorer: + """ExplorerPort over a SQLAlchemy Engine, built from a connection URL.""" + + def __init__(self, url: str, *, schema: str | None = None) -> None: + self.url = url + self._schema = schema + self._engine: Any = None # created lazily + + def _get_engine(self) -> Any: + if self._engine is None: + from sqlalchemy import create_engine # imported here = lazy driver load + + self._engine = create_engine(self.url) + return self._engine + + # --- ExplorerPort ---------------------------------------------------- + + async def list_tables(self) -> list[Table]: + return await asyncio.to_thread(self._list_tables_sync) + + async def describe_table(self, name: str) -> Table: + return await asyncio.to_thread(self._describe_table_sync, name) + + async def sample_rows(self, name: str, limit: int = 5) -> list[dict]: + # Bind the limit; quote the identifier via the dialect's preparer. + eng = self._get_engine() + qname = eng.dialect.identifier_preparer.quote(name) + return await self.execute(f"SELECT * FROM {qname}", limit=limit) + + async def execute(self, sql: str, limit: int = 1000) -> list[dict]: + return await asyncio.to_thread(self._execute_sync, sql, int(limit)) + + # --- sync workers ---------------------------------------------------- + + def _list_tables_sync(self) -> list[Table]: + from sqlalchemy import inspect + + insp = inspect(self._get_engine()) + schema = self._schema or insp.default_schema_name + return [ + Table(name=t, schema=schema or "") + for t in insp.get_table_names(schema=self._schema) + ] + + def _describe_table_sync(self, name: str) -> Table: + from sqlalchemy import inspect + + insp = inspect(self._get_engine()) + cols = [ + Column( + name=c["name"], + type=str(c["type"]), + nullable=bool(c.get("nullable", True)), + description=c.get("comment") or "", + ) + for c in insp.get_columns(name, schema=self._schema) + ] + return Table(name=name, schema=self._schema or "", columns=cols) + + def _execute_sync(self, sql: str, limit: int) -> list[dict]: + from sqlalchemy import text + + with self._get_engine().connect() as conn: + result = conn.execute(text(sql)) + if not result.returns_rows: + return [] + rows = result.mappings().fetchmany(limit) + return [dict(r) for r in rows] diff --git a/src/lang2sql/tenancy/concierge.py b/src/lang2sql/tenancy/concierge.py index 2050091..3cef1eb 100644 --- a/src/lang2sql/tenancy/concierge.py +++ b/src/lang2sql/tenancy/concierge.py @@ -14,6 +14,7 @@ import os +from ..adapters.db.factory import explorer_from_env from ..adapters.db.postgres_explorer import PostgresExplorer from ..adapters.llm.fake import FakeLLM from ..adapters.llm.openai_ import OpenAILLM @@ -61,7 +62,9 @@ def __init__( self._store = store if store is not None else SqliteStore(path) # Audit + session persistence both ride the one sqlite store by default. self._llm = llm if llm is not None else _default_llm() - self._explorer = explorer if explorer is not None else PostgresExplorer(_DEFAULT_DSN) + # Explorer precedence: explicit injection → env-configured real DB + # (LANG2SQL_DB_URL / Cloudflare D1) → the canned stub for offline dev. + self._explorer = explorer or explorer_from_env() or PostgresExplorer(_DEFAULT_DSN) self._safety = safety if safety is not None else SafetyPipeline() # Persistent semantic store by default so definitions survive restart. self._scope_resolver = ( diff --git a/tests/test_db_adapters.py b/tests/test_db_adapters.py new file mode 100644 index 0000000..4c4b629 --- /dev/null +++ b/tests/test_db_adapters.py @@ -0,0 +1,136 @@ +"""DB explorer adapters: factory routing, SQLAlchemy (real sqlite), D1 (mocked). + +The SQLAlchemy explorer is exercised against a real on-disk SQLite DB (a +SQLAlchemy dialect that ships with Python), proving introspection + execute end +to end. The D1 explorer uses an injected transport so its request/response +handling is tested with no network. +""" + +from __future__ import annotations + +import asyncio + +import pytest + +from lang2sql.adapters.db import ( + D1Explorer, + SqlAlchemyExplorer, + build_explorer, + explorer_from_env, +) + + +# --- factory routing ------------------------------------------------------- + +def test_factory_routes_d1(): + exp = build_explorer("d1://acct123/db456") + assert isinstance(exp, D1Explorer) + assert exp.account_id == "acct123" and exp.database_id == "db456" + + +def test_factory_routes_sqlalchemy_without_connecting(): + # No psycopg installed here; routing must not import a driver or connect. + exp = build_explorer("postgresql+psycopg://u:p@h/db") + assert isinstance(exp, SqlAlchemyExplorer) + assert exp._engine is None # lazy: not built yet + + +def test_factory_rejects_empty_and_schemeless(): + for bad in ["", " ", "just-a-name"]: + with pytest.raises(ValueError): + build_explorer(bad) + + +def test_factory_bad_d1_url(): + with pytest.raises(ValueError): + build_explorer("d1://account-only") + + +def test_explorer_from_env(monkeypatch): + monkeypatch.delenv("LANG2SQL_DB_URL", raising=False) + monkeypatch.delenv("CLOUDFLARE_D1_ACCOUNT_ID", raising=False) + monkeypatch.delenv("CLOUDFLARE_D1_DATABASE_ID", raising=False) + assert explorer_from_env() is None + monkeypatch.setenv("LANG2SQL_DB_URL", "duckdb:///:memory:") + assert isinstance(explorer_from_env(), SqlAlchemyExplorer) + monkeypatch.delenv("LANG2SQL_DB_URL") + monkeypatch.setenv("CLOUDFLARE_D1_ACCOUNT_ID", "a") + monkeypatch.setenv("CLOUDFLARE_D1_DATABASE_ID", "b") + assert isinstance(explorer_from_env(), D1Explorer) + + +# --- SQLAlchemy explorer against real SQLite ------------------------------- + +def _seed_sqlite(path: str) -> None: + from sqlalchemy import create_engine, text + + eng = create_engine(f"sqlite:///{path}") + with eng.begin() as conn: + conn.execute(text("CREATE TABLE users (id INTEGER PRIMARY KEY, email TEXT NOT NULL)")) + conn.execute(text("INSERT INTO users (id, email) VALUES (1, 'a@x.com'), (2, 'b@x.com')")) + + +def test_sqlalchemy_explorer_introspect_and_execute(tmp_path): + db = tmp_path / "demo.db" + _seed_sqlite(str(db)) + exp = SqlAlchemyExplorer(f"sqlite:///{db}") + + tables = asyncio.run(exp.list_tables()) + assert "users" in {t.name for t in tables} + + desc = asyncio.run(exp.describe_table("users")) + cols = {c.name: c for c in desc.columns} + assert set(cols) == {"id", "email"} + assert cols["email"].nullable is False + + rows = asyncio.run(exp.execute("SELECT email FROM users ORDER BY id")) + assert rows == [{"email": "a@x.com"}, {"email": "b@x.com"}] + + sample = asyncio.run(exp.sample_rows("users", limit=1)) + assert len(sample) == 1 + + +# --- D1 explorer with mocked HTTP transport -------------------------------- + +def _d1_transport(sql, params): + """Fake the D1 HTTP API: shape responses by the SQL it receives.""" + s = sql.lower() + if "sqlite_master" in s: + results = [{"name": "orders"}, {"name": "users"}] + elif "pragma table_info" in s: + results = [ + {"cid": 0, "name": "id", "type": "INTEGER", "notnull": 1, "dflt_value": None, "pk": 1}, + {"cid": 1, "name": "amount", "type": "REAL", "notnull": 0, "dflt_value": None, "pk": 0}, + ] + else: + results = [{"id": 1, "amount": 9.5}] + return {"success": True, "result": [{"results": results, "success": True}], "errors": []} + + +def test_d1_list_describe_execute(): + exp = D1Explorer("acct", "db", token="t", transport=_d1_transport) + + tables = asyncio.run(exp.list_tables()) + assert {t.name for t in tables} == {"orders", "users"} + + desc = asyncio.run(exp.describe_table("orders")) + cols = {c.name: c for c in desc.columns} + assert cols["id"].nullable is False and cols["amount"].nullable is True + + rows = asyncio.run(exp.execute("SELECT * FROM orders")) + assert rows == [{"id": 1, "amount": 9.5}] + + +def test_d1_raises_on_api_error(): + def failing(sql, params): + return {"success": False, "errors": [{"message": "bad token"}], "result": []} + + exp = D1Explorer("acct", "db", token="t", transport=failing) + with pytest.raises(RuntimeError, match="D1 query failed"): + asyncio.run(exp.execute("SELECT 1")) + + +def test_d1_rejects_unsafe_identifier(): + exp = D1Explorer("acct", "db", token="t", transport=_d1_transport) + with pytest.raises(ValueError, match="unsafe table identifier"): + asyncio.run(exp.describe_table("users; DROP TABLE x")) diff --git a/uv.lock b/uv.lock index 77d1a8e..f69cc01 100644 --- a/uv.lock +++ b/uv.lock @@ -2,8 +2,10 @@ version = 1 revision = 3 requires-python = ">=3.10" resolution-markers = [ - "python_full_version >= '3.13'", - "python_full_version < '3.13'", + "python_full_version >= '3.14'", + "python_full_version == '3.13.*'", + "python_full_version >= '3.11' and python_full_version < '3.13'", + "python_full_version < '3.11'", ] [[package]] @@ -114,6 +116,15 @@ wheels = [ { url = 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