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54e003268e
- **Description:** PebbloRetrievalQA chain introduces identity enforcement using vector-db metadata filtering - **Dependencies:** None - **Issue:** None - **Documentation:** Adding documentation for PebbloRetrievalQA chain in a separate PR(https://github.com/langchain-ai/langchain/pull/20746) - **Unit tests:** New unit-tests added --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>
63 lines
1.7 KiB
Python
63 lines
1.7 KiB
Python
"""Models for the PebbloRetrievalQA chain."""
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from typing import Any, List, Optional
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from langchain_core.pydantic_v1 import BaseModel
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class AuthContext(BaseModel):
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"""Class for an authorization context."""
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name: Optional[str] = None
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user_id: str
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user_auth: List[str]
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"""List of user authorizations, which may include their User ID and
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the groups they are part of"""
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class SemanticEntities(BaseModel):
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"""Class for a semantic entity filter."""
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deny: List[str]
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class SemanticTopics(BaseModel):
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"""Class for a semantic topic filter."""
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deny: List[str]
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class SemanticContext(BaseModel):
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"""Class for a semantic context."""
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pebblo_semantic_entities: Optional[SemanticEntities] = None
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pebblo_semantic_topics: Optional[SemanticTopics] = None
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def __init__(self, **data: Any) -> None:
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super().__init__(**data)
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# Validate semantic_context
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if (
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self.pebblo_semantic_entities is None
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and self.pebblo_semantic_topics is None
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):
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raise ValueError(
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"semantic_context must contain 'pebblo_semantic_entities' or "
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"'pebblo_semantic_topics'"
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)
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class ChainInput(BaseModel):
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"""Input for PebbloRetrievalQA chain."""
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query: str
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auth_context: Optional[AuthContext] = None
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semantic_context: Optional[SemanticContext] = None
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def dict(self, **kwargs: Any) -> dict:
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base_dict = super().dict(**kwargs)
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# Keep auth_context and semantic_context as it is(Pydantic models)
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base_dict["auth_context"] = self.auth_context
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base_dict["semantic_context"] = self.semantic_context
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return base_dict
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