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"""Test SQL Database Chain.""" | |
from sqlalchemy import Column, Integer, MetaData, String, Table, create_engine, insert | |
from langchain.chains.sql_database.base import ( | |
SQLDatabaseChain, | |
SQLDatabaseSequentialChain, | |
) | |
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?") | |
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 | |