wehub-resource-sync
67 lines
2.1 KiB
Python
67 lines
2.1 KiB
Python
from __future__ import annotations
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from pydantic import BaseModel, Field
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from typing import Any, Optional
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class ExtractedEntity(BaseModel):
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"""A single entity extracted from text by the LLM."""
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entity_name: str = Field(
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description="Name of the entity. Use title case for case-insensitive names."
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)
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entity_type: str = Field(description="Type/category of the entity.")
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entity_description: str = Field(
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description="Concise yet comprehensive description of the entity based on the input text."
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)
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class ExtractedRelationship(BaseModel):
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"""A single relationship between two entities extracted from text."""
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source_entity: str = Field(
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description="Name of the source entity in the relationship."
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)
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target_entity: str = Field(
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description="Name of the target entity in the relationship."
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)
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relationship_keywords: str = Field(
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description="Comma-separated high-level keywords summarizing the relationship."
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)
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relationship_description: str = Field(
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description="Concise explanation of the relationship between source and target entities."
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)
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class EntityExtractionResult(BaseModel):
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"""Structured output format for entity and relationship extraction from text."""
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entities: list[ExtractedEntity] = Field(
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default_factory=list,
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description="List of entities extracted from the input text.",
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)
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relationships: list[ExtractedRelationship] = Field(
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default_factory=list,
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description="List of relationships between entities extracted from the input text.",
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)
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class KnowledgeGraphNode(BaseModel):
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id: str
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labels: list[str]
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properties: dict[str, Any] # anything else goes here
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class KnowledgeGraphEdge(BaseModel):
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id: str
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type: Optional[str]
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source: str # id of source node
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target: str # id of target node
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properties: dict[str, Any] # anything else goes here
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class KnowledgeGraph(BaseModel):
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nodes: list[KnowledgeGraphNode] = []
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edges: list[KnowledgeGraphEdge] = []
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is_truncated: bool = False
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