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49 lines
1.3 KiB
Python
49 lines
1.3 KiB
Python
from typing import Any
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from langchain_core.documents import Document
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from langchain_core.messages import AIMessage, AIMessageChunk, HumanMessage
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class AnyStr(str):
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__slots__ = ()
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def __eq__(self, other: object) -> bool:
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return isinstance(other, str)
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__hash__ = str.__hash__
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# The code below creates version of pydantic models
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# that will work in unit tests with AnyStr as id field
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# Please note that the `id` field is assigned AFTER the model is created
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# to workaround an issue with pydantic ignoring the __eq__ method on
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# subclassed strings.
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def _any_id_document(**kwargs: Any) -> Document:
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"""Create a document with an id field."""
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message = Document(**kwargs)
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message.id = AnyStr()
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return message
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def _any_id_ai_message(**kwargs: Any) -> AIMessage:
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"""Create ai message with an any id field."""
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message = AIMessage(**kwargs)
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message.id = AnyStr()
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return message
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def _any_id_ai_message_chunk(**kwargs: Any) -> AIMessageChunk:
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"""Create ai message with an any id field."""
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message = AIMessageChunk(**kwargs)
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message.id = AnyStr()
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return message
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def _any_id_human_message(**kwargs: Any) -> HumanMessage:
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"""Create a human with an any id field."""
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message = HumanMessage(**kwargs)
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message.id = AnyStr()
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return message
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