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langchain/tests/integration_tests/chains/test_sql_database.py

48 lines
1.9 KiB
Python

"""Test SQL Database Chain."""
from sqlalchemy import Column, Integer, MetaData, String, Table, create_engine, insert
from langchain.chains.sql_database.base import SQLDatabaseChain
from langchain.llms.openai import OpenAI
from langchain.sql_database import SQLDatabase
metadata_obj = MetaData()
user = Table(
"user",
metadata_obj,
Column("user_id", Integer, primary_key=True),
Column("user_name", String(16), nullable=False),
Column("user_company", String(16), nullable=False),
)
def test_sql_database_run() -> None:
"""Test that commands can be run successfully and returned in correct format."""
engine = create_engine("sqlite:///:memory:")
metadata_obj.create_all(engine)
stmt = insert(user).values(user_id=13, user_name="Harrison", user_company="Foo")
with engine.connect() as conn:
conn.execute(stmt)
db = SQLDatabase(engine)
db_chain = SQLDatabaseChain(llm=OpenAI(temperature=0), database=db)
output = db_chain.run("What company does Harrison work at?")
expected_output = " Harrison works at Foo."
assert output == expected_output
def test_sql_database_run_update() -> None:
"""Test that update commands run successfully and returned in correct format."""
engine = create_engine("sqlite:///:memory:")
metadata_obj.create_all(engine)
stmt = insert(user).values(user_id=13, user_name="Harrison", user_company="Foo")
with engine.connect() as conn:
conn.execute(stmt)
db = SQLDatabase(engine)
db_chain = SQLDatabaseChain(llm=OpenAI(temperature=0), database=db)
output = db_chain.run("Update Harrison's workplace to Bar")
expected_output = " Harrison's workplace has been updated to Bar."
assert output == expected_output
output = db_chain.run("What company does Harrison work at?")
expected_output = " Harrison works at Bar."
assert output == expected_output