Design System: https://github.com/ArcadeAI/Design-System/pull/31 Docs: https://github.com/ArcadeAI/docs/pull/439 <img width="832" height="797" alt="Screenshot 2025-09-11 at 2 35 36 PM" src="https://github.com/user-attachments/assets/198f194f-d41c-41a0-bedf-b77bccd70dfa" />
118 lines
4.1 KiB
Python
118 lines
4.1 KiB
Python
from typing import Any, ClassVar
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from arcade_tdk.errors import RetryableToolError
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from motor.motor_asyncio import AsyncIOMotorClient, AsyncIOMotorDatabase
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from pymongo.errors import ServerSelectionTimeoutError
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MAX_RECORDS_RETURNED = 1000
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TEST_QUERY = {"ping": 1}
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class DatabaseEngine:
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_instance: ClassVar[None] = None
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_clients: ClassVar[dict[str, AsyncIOMotorClient]] = {}
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@classmethod
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async def get_instance(cls, connection_string: str) -> AsyncIOMotorClient:
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key = connection_string
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if key not in cls._clients:
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cls._clients[key] = AsyncIOMotorClient(connection_string)
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# try a simple query to see if the connection is valid
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try:
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admin_db = cls._clients[key].admin
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await admin_db.command(TEST_QUERY)
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return cls._clients[key]
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except ServerSelectionTimeoutError:
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# close and try again
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cls._clients[key].close()
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cls._clients[key] = AsyncIOMotorClient(connection_string)
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try:
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admin_db = cls._clients[key].admin
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await admin_db.command(TEST_QUERY)
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return cls._clients[key]
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except Exception as e:
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raise RetryableToolError(
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f"Connection failed: {e}",
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developer_message="Connection to MongoDB failed.",
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additional_prompt_content="Check the connection string and try again.",
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) from e
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@classmethod
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async def get_database(cls, connection_string: str, database_name: str) -> Any:
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client = await cls.get_instance(connection_string)
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class DatabaseContextManager:
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def __init__(self, client: AsyncIOMotorClient, database_name: str) -> None:
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self.client = client
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self.database_name = database_name
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self.database = client[database_name]
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async def __aenter__(self) -> AsyncIOMotorDatabase:
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return self.database
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async def __aexit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:
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# Connection cleanup is handled by the client cache
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pass
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return DatabaseContextManager(client, database_name)
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@classmethod
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async def cleanup(cls) -> None:
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"""Clean up all cached clients. Call this when shutting down."""
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for client in cls._clients.values():
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client.close()
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cls._clients.clear()
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@classmethod
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def clear_cache(cls) -> None:
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"""Clear the client cache without closing clients. Use with caution."""
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cls._clients.clear()
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@classmethod
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def sanitize_query_params(
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cls,
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database_name: str,
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collection_name: str,
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filter_dict: dict[str, Any] | None,
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projection: dict[str, Any] | None,
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sort: list[dict[str, Any]] | None,
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limit: int,
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skip: int,
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) -> tuple[
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str, str, dict[str, Any], dict[str, Any] | None, list[dict[str, Any]] | None, int, int
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]:
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if not database_name:
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raise RetryableToolError(
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"Database name is required.",
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developer_message="Database name cannot be empty.",
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)
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if not collection_name:
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raise RetryableToolError(
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"Collection name is required.",
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developer_message="Collection name cannot be empty.",
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)
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if filter_dict is None:
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filter_dict = {}
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if limit > MAX_RECORDS_RETURNED:
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raise RetryableToolError(
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f"Limit is too high. Maximum is {MAX_RECORDS_RETURNED}.",
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)
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if skip < 0:
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raise RetryableToolError(
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"Skip must be greater than or equal to 0.",
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developer_message="Skip must be greater than or equal to 0.",
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)
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if limit <= 0:
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raise RetryableToolError(
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"Limit must be greater than 0.",
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developer_message="Limit must be greater than 0.",
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)
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return database_name, collection_name, filter_dict, projection, sort, limit, skip
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