langchain/tests/integration_tests/chains/test_sql_database.py

93 lines
3.6 KiB
Python
Raw Normal View History

2022-10-28 06:21:47 +00:00
"""Test SQL Database Chain."""
from sqlalchemy import Column, Integer, MetaData, String, Table, create_engine, insert
from langchain.chains.sql_database.base import (
SQLDatabaseChain,
SQLDatabaseSequentialChain,
)
2022-10-28 06:21:47 +00:00
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.from_llm(OpenAI(temperature=0), db)
output = db_chain.run("What company does Harrison work at?")
2022-10-28 06:21:47 +00:00
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.from_llm(OpenAI(temperature=0), 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
def test_sql_database_sequential_chain_run() -> None:
"""Test that commands can be run successfully SEQUENTIALLY
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 = SQLDatabaseSequentialChain.from_llm(OpenAI(temperature=0), 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_sequential_chain_intermediate_steps() -> None:
"""Test that commands can be run successfully SEQUENTIALLY and returned
in correct format. sWith Intermediate steps"""
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 = SQLDatabaseSequentialChain.from_llm(
OpenAI(temperature=0), db, return_intermediate_steps=True
)
output = db_chain("What company does Harrison work at?")
expected_output = " Harrison works at Foo."
assert output["result"] == expected_output
query = output["intermediate_steps"][0]
expected_query = (
" SELECT user_company FROM user WHERE user_name = 'Harrison' LIMIT 1;"
)
assert query == expected_query
query_results = output["intermediate_steps"][1]
expected_query_results = "[('Foo',)]"
assert query_results == expected_query_results