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Migrate motor to pymongo (#1705)
* migrated mongo storage from using deprecated motor to PyMongo * added storages to __init__.py file to improve DX * changelog file created * Revert "added storages to __init__.py file to improve DX" This reverts commit5d0f6a9dfb. * added optional dependency to pymongo to pyproject.toml * Revert "migrated mongo storage from using deprecated motor to PyMongo" This reverts commit1c0207e1d1. * added deprecation warning to mongo storage * created pymongo storage * added entry for PyMongoStorage to documentation in fsm.storages * updated changelog to have information about how to migrate from MongoStorage to PyMongoStorage * added test for pymongo storage (copied from mongo storage test) * fixed formatting using black and isort * fixed bug in close method of PyMongoStorage (client close method was not awaited) * added test for PyMongoStorage that checks if storage could be properly closed * pymongo package changed to be lower case in PyMongoStorage * added fixture registration for pymongo storage * test for pymongo is now using proper test fixtures * removed redundant call to get_data, because we have checked this condition in the previous line * added more tests to pymongo test, to check for all possible cases of using update_data method * fixed PyMongoStorage update_data method implementation * added pymongo tests to test_storages * fixed pymongo tests, update_data method should not delete document when {} was passed * Revert "fixed PyMongoStorage update_data method implementation" This reverts commit86170e1cb9. * fixed linting issues in PyMongoStorage * changed allowed versions of pymongo, to be compatible with motor * pinned the upper version of pymongo to <4.11
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8 changed files with 398 additions and 0 deletions
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@ -15,6 +15,12 @@ from aiogram.fsm.storage.base import (
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class MongoStorage(BaseStorage):
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"""
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.. warning::
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DEPRECATED: Use :class:`PyMongoStorage` instead.
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This class will be removed in future versions.
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MongoDB storage required :code:`motor` package installed (:code:`pip install motor`)
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"""
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136
aiogram/fsm/storage/pymongo.py
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136
aiogram/fsm/storage/pymongo.py
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@ -0,0 +1,136 @@
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from typing import Any, Dict, Mapping, Optional, cast
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from pymongo import AsyncMongoClient
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from aiogram.exceptions import DataNotDictLikeError
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from aiogram.fsm.state import State
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from aiogram.fsm.storage.base import (
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BaseStorage,
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DefaultKeyBuilder,
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KeyBuilder,
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StateType,
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StorageKey,
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)
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class PyMongoStorage(BaseStorage):
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"""
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MongoDB storage required :code:`pymongo` package installed (:code:`pip install pymongo`).
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"""
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def __init__(
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self,
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client: AsyncMongoClient[Any],
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key_builder: Optional[KeyBuilder] = None,
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db_name: str = "aiogram_fsm",
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collection_name: str = "states_and_data",
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) -> None:
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"""
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:param client: Instance of AsyncMongoClient
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:param key_builder: builder that helps to convert contextual key to string
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:param db_name: name of the MongoDB database for FSM
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:param collection_name: name of the collection for storing FSM states and data
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"""
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if key_builder is None:
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key_builder = DefaultKeyBuilder()
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self._client = client
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self._database = self._client[db_name]
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self._collection = self._database[collection_name]
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self._key_builder = key_builder
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@classmethod
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def from_url(
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cls, url: str, connection_kwargs: Optional[Dict[str, Any]] = None, **kwargs: Any
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) -> "PyMongoStorage":
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"""
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Create an instance of :class:`PyMongoStorage` with specifying the connection string
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:param url: for example :code:`mongodb://user:password@host:port`
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:param connection_kwargs: see :code:`pymongo` docs
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:param kwargs: arguments to be passed to :class:`PyMongoStorage`
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:return: an instance of :class:`PyMongoStorage`
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"""
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if connection_kwargs is None:
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connection_kwargs = {}
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client: AsyncMongoClient[Any] = AsyncMongoClient(url, **connection_kwargs)
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return cls(client=client, **kwargs)
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async def close(self) -> None:
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"""Cleanup client resources and disconnect from MongoDB."""
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return await self._client.close()
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def resolve_state(self, value: StateType) -> Optional[str]:
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if value is None:
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return None
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if isinstance(value, State):
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return value.state
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return str(value)
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async def set_state(self, key: StorageKey, state: StateType = None) -> None:
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document_id = self._key_builder.build(key)
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if state is None:
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updated = await self._collection.find_one_and_update(
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filter={"_id": document_id},
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update={"$unset": {"state": 1}},
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projection={"_id": 0},
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return_document=True,
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)
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if updated == {}:
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await self._collection.delete_one({"_id": document_id})
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else:
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await self._collection.update_one(
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filter={"_id": document_id},
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update={"$set": {"state": self.resolve_state(state)}},
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upsert=True,
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)
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async def get_state(self, key: StorageKey) -> Optional[str]:
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document_id = self._key_builder.build(key)
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document = await self._collection.find_one({"_id": document_id})
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if document is None:
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return None
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return cast(Optional[str], document.get("state"))
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async def set_data(self, key: StorageKey, data: Mapping[str, Any]) -> None:
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if not isinstance(data, dict):
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raise DataNotDictLikeError(
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f"Data must be a dict or dict-like object, got {type(data).__name__}"
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)
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document_id = self._key_builder.build(key)
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if not data:
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updated = await self._collection.find_one_and_update(
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filter={"_id": document_id},
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update={"$unset": {"data": 1}},
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projection={"_id": 0},
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return_document=True,
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)
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if updated == {}:
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await self._collection.delete_one({"_id": document_id})
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else:
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await self._collection.update_one(
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filter={"_id": document_id},
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update={"$set": {"data": data}},
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upsert=True,
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)
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async def get_data(self, key: StorageKey) -> Dict[str, Any]:
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document_id = self._key_builder.build(key)
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document = await self._collection.find_one({"_id": document_id})
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if document is None or not document.get("data"):
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return {}
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return cast(Dict[str, Any], document["data"])
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async def update_data(self, key: StorageKey, data: Mapping[str, Any]) -> Dict[str, Any]:
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document_id = self._key_builder.build(key)
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update_with = {f"data.{key}": value for key, value in data.items()}
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update_result = await self._collection.find_one_and_update(
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filter={"_id": document_id},
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update={"$set": update_with},
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upsert=True,
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return_document=True,
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projection={"_id": 0},
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)
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if not update_result:
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await self._collection.delete_one({"_id": document_id})
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return cast(Dict[str, Any], update_result.get("data", {}))
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