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95cf7de112
Adding scheduled daily GHA that runs marked integration tests. To start just marking some tests in test_openai
92 lines
3.6 KiB
Python
92 lines
3.6 KiB
Python
"""Test SQL Database Chain."""
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from langchain.llms.openai import OpenAI
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from langchain.utilities.sql_database import SQLDatabase
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from libs.experimental.langchain_experimental.sql.base import (
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SQLDatabaseChain,
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SQLDatabaseSequentialChain,
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)
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from sqlalchemy import Column, Integer, MetaData, String, Table, create_engine, insert
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metadata_obj = MetaData()
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user = Table(
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"user",
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metadata_obj,
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Column("user_id", Integer, primary_key=True),
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Column("user_name", String(16), nullable=False),
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Column("user_company", String(16), nullable=False),
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)
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def test_sql_database_run() -> None:
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"""Test that commands can be run successfully and returned in correct format."""
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engine = create_engine("sqlite:///:memory:")
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metadata_obj.create_all(engine)
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stmt = insert(user).values(user_id=13, user_name="Harrison", user_company="Foo")
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with engine.connect() as conn:
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conn.execute(stmt)
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db = SQLDatabase(engine)
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db_chain = SQLDatabaseChain.from_llm(OpenAI(temperature=0), db)
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output = db_chain.run("What company does Harrison work at?")
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expected_output = " Harrison works at Foo."
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assert output == expected_output
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def test_sql_database_run_update() -> None:
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"""Test that update commands run successfully and returned in correct format."""
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engine = create_engine("sqlite:///:memory:")
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metadata_obj.create_all(engine)
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stmt = insert(user).values(user_id=13, user_name="Harrison", user_company="Foo")
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with engine.connect() as conn:
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conn.execute(stmt)
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db = SQLDatabase(engine)
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db_chain = SQLDatabaseChain.from_llm(OpenAI(temperature=0), db)
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output = db_chain.run("Update Harrison's workplace to Bar")
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expected_output = " Harrison's workplace has been updated to Bar."
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assert output == expected_output
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output = db_chain.run("What company does Harrison work at?")
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expected_output = " Harrison works at Bar."
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assert output == expected_output
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def test_sql_database_sequential_chain_run() -> None:
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"""Test that commands can be run successfully SEQUENTIALLY
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and returned in correct format."""
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engine = create_engine("sqlite:///:memory:")
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metadata_obj.create_all(engine)
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stmt = insert(user).values(user_id=13, user_name="Harrison", user_company="Foo")
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with engine.connect() as conn:
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conn.execute(stmt)
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db = SQLDatabase(engine)
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db_chain = SQLDatabaseSequentialChain.from_llm(OpenAI(temperature=0), db)
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output = db_chain.run("What company does Harrison work at?")
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expected_output = " Harrison works at Foo."
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assert output == expected_output
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def test_sql_database_sequential_chain_intermediate_steps() -> None:
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"""Test that commands can be run successfully SEQUENTIALLY and returned
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in correct format. switch Intermediate steps"""
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engine = create_engine("sqlite:///:memory:")
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metadata_obj.create_all(engine)
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stmt = insert(user).values(user_id=13, user_name="Harrison", user_company="Foo")
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with engine.connect() as conn:
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conn.execute(stmt)
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db = SQLDatabase(engine)
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db_chain = SQLDatabaseSequentialChain.from_llm(
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OpenAI(temperature=0), db, return_intermediate_steps=True
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)
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output = db_chain("What company does Harrison work at?")
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expected_output = " Harrison works at Foo."
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assert output["result"] == expected_output
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query = output["intermediate_steps"][0]
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expected_query = (
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" SELECT user_company FROM user WHERE user_name = 'Harrison' LIMIT 1;"
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)
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assert query == expected_query
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query_results = output["intermediate_steps"][1]
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expected_query_results = "[('Foo',)]"
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assert query_results == expected_query_results
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