langchain/libs/community/langchain_community/chat_message_histories/dynamodb.py
Bagatur ed58eeb9c5
community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463)
Moved the following modules to new package langchain-community in a backwards compatible fashion:

```
mv langchain/langchain/adapters community/langchain_community
mv langchain/langchain/callbacks community/langchain_community/callbacks
mv langchain/langchain/chat_loaders community/langchain_community
mv langchain/langchain/chat_models community/langchain_community
mv langchain/langchain/document_loaders community/langchain_community
mv langchain/langchain/docstore community/langchain_community
mv langchain/langchain/document_transformers community/langchain_community
mv langchain/langchain/embeddings community/langchain_community
mv langchain/langchain/graphs community/langchain_community
mv langchain/langchain/llms community/langchain_community
mv langchain/langchain/memory/chat_message_histories community/langchain_community
mv langchain/langchain/retrievers community/langchain_community
mv langchain/langchain/storage community/langchain_community
mv langchain/langchain/tools community/langchain_community
mv langchain/langchain/utilities community/langchain_community
mv langchain/langchain/vectorstores community/langchain_community
mv langchain/langchain/agents/agent_toolkits community/langchain_community
mv langchain/langchain/cache.py community/langchain_community
mv langchain/langchain/adapters community/langchain_community
mv langchain/langchain/callbacks community/langchain_community/callbacks
mv langchain/langchain/chat_loaders community/langchain_community
mv langchain/langchain/chat_models community/langchain_community
mv langchain/langchain/document_loaders community/langchain_community
mv langchain/langchain/docstore community/langchain_community
mv langchain/langchain/document_transformers community/langchain_community
mv langchain/langchain/embeddings community/langchain_community
mv langchain/langchain/graphs community/langchain_community
mv langchain/langchain/llms community/langchain_community
mv langchain/langchain/memory/chat_message_histories community/langchain_community
mv langchain/langchain/retrievers community/langchain_community
mv langchain/langchain/storage community/langchain_community
mv langchain/langchain/tools community/langchain_community
mv langchain/langchain/utilities community/langchain_community
mv langchain/langchain/vectorstores community/langchain_community
mv langchain/langchain/agents/agent_toolkits community/langchain_community
mv langchain/langchain/cache.py community/langchain_community
```

Moved the following to core
```
mv langchain/langchain/utils/json_schema.py core/langchain_core/utils
mv langchain/langchain/utils/html.py core/langchain_core/utils
mv langchain/langchain/utils/strings.py core/langchain_core/utils
cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py
rm langchain/langchain/utils/env.py
```

See .scripts/community_split/script_integrations.sh for all changes
2023-12-11 13:53:30 -08:00

154 lines
5.7 KiB
Python

from __future__ import annotations
import logging
from typing import TYPE_CHECKING, Dict, List, Optional
from langchain_core.chat_history import BaseChatMessageHistory
from langchain_core.messages import (
BaseMessage,
message_to_dict,
messages_from_dict,
messages_to_dict,
)
if TYPE_CHECKING:
from boto3.session import Session
logger = logging.getLogger(__name__)
class DynamoDBChatMessageHistory(BaseChatMessageHistory):
"""Chat message history that stores history in AWS DynamoDB.
This class expects that a DynamoDB table exists with name `table_name`
Args:
table_name: name of the DynamoDB table
session_id: arbitrary key that is used to store the messages
of a single chat session.
endpoint_url: URL of the AWS endpoint to connect to. This argument
is optional and useful for test purposes, like using Localstack.
If you plan to use AWS cloud service, you normally don't have to
worry about setting the endpoint_url.
primary_key_name: name of the primary key of the DynamoDB table. This argument
is optional, defaulting to "SessionId".
key: an optional dictionary with a custom primary and secondary key.
This argument is optional, but useful when using composite dynamodb keys, or
isolating records based off of application details such as a user id.
This may also contain global and local secondary index keys.
kms_key_id: an optional AWS KMS Key ID, AWS KMS Key ARN, or AWS KMS Alias for
client-side encryption
"""
def __init__(
self,
table_name: str,
session_id: str,
endpoint_url: Optional[str] = None,
primary_key_name: str = "SessionId",
key: Optional[Dict[str, str]] = None,
boto3_session: Optional[Session] = None,
kms_key_id: Optional[str] = None,
):
if boto3_session:
client = boto3_session.resource("dynamodb", endpoint_url=endpoint_url)
else:
try:
import boto3
except ImportError as e:
raise ImportError(
"Unable to import boto3, please install with `pip install boto3`."
) from e
if endpoint_url:
client = boto3.resource("dynamodb", endpoint_url=endpoint_url)
else:
client = boto3.resource("dynamodb")
self.table = client.Table(table_name)
self.session_id = session_id
self.key: Dict = key or {primary_key_name: session_id}
if kms_key_id:
try:
from dynamodb_encryption_sdk.encrypted.table import EncryptedTable
from dynamodb_encryption_sdk.identifiers import CryptoAction
from dynamodb_encryption_sdk.material_providers.aws_kms import (
AwsKmsCryptographicMaterialsProvider,
)
from dynamodb_encryption_sdk.structures import AttributeActions
except ImportError as e:
raise ImportError(
"Unable to import dynamodb_encryption_sdk, please install with "
"`pip install dynamodb-encryption-sdk`."
) from e
actions = AttributeActions(
default_action=CryptoAction.DO_NOTHING,
attribute_actions={"History": CryptoAction.ENCRYPT_AND_SIGN},
)
aws_kms_cmp = AwsKmsCryptographicMaterialsProvider(key_id=kms_key_id)
self.table = EncryptedTable(
table=self.table,
materials_provider=aws_kms_cmp,
attribute_actions=actions,
auto_refresh_table_indexes=False,
)
@property
def messages(self) -> List[BaseMessage]: # type: ignore
"""Retrieve the messages from DynamoDB"""
try:
from botocore.exceptions import ClientError
except ImportError as e:
raise ImportError(
"Unable to import botocore, please install with `pip install botocore`."
) from e
response = None
try:
response = self.table.get_item(Key=self.key)
except ClientError as error:
if error.response["Error"]["Code"] == "ResourceNotFoundException":
logger.warning("No record found with session id: %s", self.session_id)
else:
logger.error(error)
if response and "Item" in response:
items = response["Item"]["History"]
else:
items = []
messages = messages_from_dict(items)
return messages
def add_message(self, message: BaseMessage) -> None:
"""Append the message to the record in DynamoDB"""
try:
from botocore.exceptions import ClientError
except ImportError as e:
raise ImportError(
"Unable to import botocore, please install with `pip install botocore`."
) from e
messages = messages_to_dict(self.messages)
_message = message_to_dict(message)
messages.append(_message)
try:
self.table.put_item(Item={**self.key, "History": messages})
except ClientError as err:
logger.error(err)
def clear(self) -> None:
"""Clear session memory from DynamoDB"""
try:
from botocore.exceptions import ClientError
except ImportError as e:
raise ImportError(
"Unable to import botocore, please install with `pip install botocore`."
) from e
try:
self.table.delete_item(Key=self.key)
except ClientError as err:
logger.error(err)