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langchain/libs/core/tests/unit_tests/stubs.py
Eugene Yurtsev 0193d18bec update
2024-08-06 13:04:17 -04:00

45 lines
1.2 KiB
Python

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