🔧 fix(customs.py): add MongoDBChatMessageHistory to CUSTOM_NODES dictionary
✨ feat(memories.py): add MongoDBChatMessageHistoryFrontendNode class to support MongoDB as a memory store
The CUSTOM_NODES dictionary in customs.py has been updated to include the "MongoDBChatMessageHistory" memory. This allows the application to use MongoDB as a memory store for chat message history. The MongoDBChatMessageHistoryFrontendNode class has been added to memories.py, providing the necessary functionality and configuration options for interacting with MongoDB as a memory store.
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2 changed files with 58 additions and 0 deletions
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@ -23,6 +23,7 @@ CUSTOM_NODES = {
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},
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},
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"memories": {
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"memories": {
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"PostgresChatMessageHistory": frontend_node.memories.PostgresChatMessageHistoryFrontendNode(),
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"PostgresChatMessageHistory": frontend_node.memories.PostgresChatMessageHistoryFrontendNode(),
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"MongoDBChatMessageHistory": frontend_node.memories.MongoDBChatMessageHistoryFrontendNode(),
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},
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},
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"chains": {
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"chains": {
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"SeriesCharacterChain": frontend_node.chains.SeriesCharacterChainNode(),
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"SeriesCharacterChain": frontend_node.chains.SeriesCharacterChainNode(),
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@ -4,6 +4,10 @@ from langflow.template.field.base import TemplateField
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from langflow.template.frontend_node.base import FrontendNode
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from langflow.template.frontend_node.base import FrontendNode
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from langflow.template.template.base import Template
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from langflow.template.template.base import Template
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from langchain.memory.chat_message_histories.postgres import DEFAULT_CONNECTION_STRING
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from langchain.memory.chat_message_histories.postgres import DEFAULT_CONNECTION_STRING
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from langchain.memory.chat_message_histories.mongodb import (
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DEFAULT_COLLECTION_NAME,
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DEFAULT_DBNAME,
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)
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class MemoryFrontendNode(FrontendNode):
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class MemoryFrontendNode(FrontendNode):
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@ -120,3 +124,56 @@ class PostgresChatMessageHistoryFrontendNode(MemoryFrontendNode):
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)
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)
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description: str = "Memory store with Postgres"
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description: str = "Memory store with Postgres"
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base_classes: list[str] = ["PostgresChatMessageHistory", "BaseChatMessageHistory"]
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base_classes: list[str] = ["PostgresChatMessageHistory", "BaseChatMessageHistory"]
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class MongoDBChatMessageHistoryFrontendNode(MemoryFrontendNode):
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name: str = "MongoDBChatMessageHistory"
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template: Template = Template(
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# langchain/memory/chat_message_histories/mongodb.py
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# connection_string: str,
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# session_id: str,
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# database_name: str = DEFAULT_DBNAME,
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# collection_name: str = DEFAULT_COLLECTION_NAME,
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type_name="MongoDBChatMessageHistory",
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fields=[
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TemplateField(
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field_type="str",
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required=True,
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placeholder="",
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is_list=False,
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show=True,
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multiline=False,
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name="session_id",
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),
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TemplateField(
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field_type="str",
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required=True,
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show=True,
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name="connection_string",
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value="",
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info="MongoDB connection string (e.g mongodb://mongo_user:password123@mongo:27017)",
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),
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TemplateField(
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field_type="str",
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required=True,
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placeholder="",
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is_list=False,
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show=True,
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multiline=False,
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value=DEFAULT_DBNAME,
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name="database_name",
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),
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TemplateField(
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field_type="str",
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required=True,
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placeholder="",
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is_list=False,
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show=True,
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multiline=False,
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value=DEFAULT_COLLECTION_NAME,
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name="collection_name",
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),
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],
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)
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description: str = "Memory store with MongoDB"
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base_classes: list[str] = ["MongoDBChatMessageHistory", "BaseChatMessageHistory"]
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