mirror of
https://github.com/arc53/DocsGPT
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65 lines
1.6 KiB
Python
65 lines
1.6 KiB
Python
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"""Base schema for data structures."""
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from abc import abstractmethod
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from dataclasses import dataclass
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from typing import Any, Dict, List, Optional
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from dataclasses_json import DataClassJsonMixin
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@dataclass
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class BaseDocument(DataClassJsonMixin):
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"""Base document.
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Generic abstract interfaces that captures both index structs
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as well as documents.
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"""
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# TODO: consolidate fields from Document/IndexStruct into base class
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text: Optional[str] = None
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doc_id: Optional[str] = None
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embedding: Optional[List[float]] = None
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# extra fields
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extra_info: Optional[Dict[str, Any]] = None
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@classmethod
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@abstractmethod
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def get_type(cls) -> str:
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"""Get Document type."""
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def get_text(self) -> str:
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"""Get text."""
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if self.text is None:
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raise ValueError("text field not set.")
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return self.text
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def get_doc_id(self) -> str:
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"""Get doc_id."""
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if self.doc_id is None:
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raise ValueError("doc_id not set.")
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return self.doc_id
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@property
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def is_doc_id_none(self) -> bool:
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"""Check if doc_id is None."""
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return self.doc_id is None
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def get_embedding(self) -> List[float]:
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"""Get embedding.
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Errors if embedding is None.
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"""
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if self.embedding is None:
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raise ValueError("embedding not set.")
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return self.embedding
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@property
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def extra_info_str(self) -> Optional[str]:
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"""Extra info string."""
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if self.extra_info is None:
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return None
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return "\n".join([f"{k}: {str(v)}" for k, v in self.extra_info.items()])
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