mirror of
https://github.com/langchain-ai/langgraph.git
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36 lines
1.0 KiB
Python
36 lines
1.0 KiB
Python
"""Run delta-channel conformance capabilities against InMemorySaver."""
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from __future__ import annotations
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import pytest
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conformance = pytest.importorskip(
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"langgraph.checkpoint.conformance",
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reason="langgraph-checkpoint-conformance not installed",
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)
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@pytest.mark.asyncio
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async def test_delta_channel_conformance():
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from langgraph.checkpoint.conformance import validate
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from langgraph.checkpoint.conformance.initializer import checkpointer_test
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from langgraph.checkpoint.memory import InMemorySaver
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@checkpointer_test(name="InMemorySaver")
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async def mem_saver():
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yield InMemorySaver()
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report = await validate(
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mem_saver,
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capabilities={
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"delta_channel_history",
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"delta_channel_keepset",
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"delta_channel_reconstruction",
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},
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)
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for cap, result in report.results.items():
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if result.passed is False:
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details = "\n".join(result.failures or [])
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pytest.fail(f"Capability {cap} failed:\n{details}")
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