mirror of
https://github.com/hwchase17/langchain
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25fbe356b4
This PR upgrades community to a recent version of mypy. It inserts type: ignore on all existing failures.
68 lines
2.0 KiB
Python
68 lines
2.0 KiB
Python
"""Test `Kinetica` chat models"""
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import logging
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from typing import Any
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from langchain_core.messages import AIMessage
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from langchain_community.chat_models.kinetica import ChatKinetica, KineticaUtil
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LOG = logging.getLogger(__name__)
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class TestChatKinetica:
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test_ctx_json = """
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{
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"payload":{
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"context":[
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{
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"table":"demo.test_profiles",
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"columns":[
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"username VARCHAR (32) NOT NULL",
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"name VARCHAR (32) NOT NULL",
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"sex VARCHAR (1) NOT NULL",
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"address VARCHAR (64) NOT NULL",
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"mail VARCHAR (32) NOT NULL",
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"birthdate TIMESTAMP NOT NULL"
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],
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"description":"Contains user profiles.",
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"rules":[
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]
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},
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{
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"samples":{
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"How many male users are there?":
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"select count(1) as num_users from demo.test_profiles where sex = ''M'';"
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}
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}
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]
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}
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}
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"""
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def test_convert_messages(self, monkeypatch: Any) -> None:
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"""Test convert messages from context."""
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def patch_kdbc() -> None:
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return None
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monkeypatch.setattr(KineticaUtil, "create_kdbc", patch_kdbc)
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def patch_execute_sql(*args: Any, **kwargs: Any) -> dict:
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return dict(Prompt=self.test_ctx_json)
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monkeypatch.setattr(ChatKinetica, "_execute_sql", patch_execute_sql)
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kinetica_llm = ChatKinetica() # type: ignore[call-arg]
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test_messages = kinetica_llm.load_messages_from_context("test")
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LOG.info(f"test_messages: {test_messages}")
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ai_message = test_messages[-1]
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assert isinstance(ai_message, AIMessage)
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assert (
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ai_message.content
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== "select count(1) as num_users from demo.test_profiles where sex = 'M';"
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)
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