mirror of
https://github.com/hwchase17/langchain.git
synced 2025-05-03 22:28:04 +00:00
a0c2281540
```python
"""python scripts/update_mypy_ruff.py"""
import glob
import tomllib
from pathlib import Path
import toml
import subprocess
import re
ROOT_DIR = Path(__file__).parents[1]
def main():
for path in glob.glob(str(ROOT_DIR / "libs/**/pyproject.toml"), recursive=True):
print(path)
with open(path, "rb") as f:
pyproject = tomllib.load(f)
try:
pyproject["tool"]["poetry"]["group"]["typing"]["dependencies"]["mypy"] = (
"^1.10"
)
pyproject["tool"]["poetry"]["group"]["lint"]["dependencies"]["ruff"] = (
"^0.5"
)
except KeyError:
continue
with open(path, "w") as f:
toml.dump(pyproject, f)
cwd = "/".join(path.split("/")[:-1])
completed = subprocess.run(
"poetry lock --no-update; poetry install --with typing; poetry run mypy . --no-color",
cwd=cwd,
shell=True,
capture_output=True,
text=True,
)
logs = completed.stdout.split("\n")
to_ignore = {}
for l in logs:
if re.match("^(.*)\:(\d+)\: error:.*\[(.*)\]", l):
path, line_no, error_type = re.match(
"^(.*)\:(\d+)\: error:.*\[(.*)\]", l
).groups()
if (path, line_no) in to_ignore:
to_ignore[(path, line_no)].append(error_type)
else:
to_ignore[(path, line_no)] = [error_type]
print(len(to_ignore))
for (error_path, line_no), error_types in to_ignore.items():
all_errors = ", ".join(error_types)
full_path = f"{cwd}/{error_path}"
try:
with open(full_path, "r") as f:
file_lines = f.readlines()
except FileNotFoundError:
continue
file_lines[int(line_no) - 1] = (
file_lines[int(line_no) - 1][:-1] + f" # type: ignore[{all_errors}]\n"
)
with open(full_path, "w") as f:
f.write("".join(file_lines))
subprocess.run(
"poetry run ruff format .; poetry run ruff --select I --fix .",
cwd=cwd,
shell=True,
capture_output=True,
text=True,
)
if __name__ == "__main__":
main()
```
96 lines
2.7 KiB
Python
96 lines
2.7 KiB
Python
# flake8: noqa
|
|
"""Test SQL database wrapper with schema support.
|
|
|
|
Using DuckDB as SQLite does not support schemas.
|
|
"""
|
|
|
|
import pytest
|
|
|
|
from sqlalchemy import (
|
|
Column,
|
|
Integer,
|
|
MetaData,
|
|
Sequence,
|
|
String,
|
|
Table,
|
|
create_engine,
|
|
event,
|
|
insert,
|
|
schema,
|
|
)
|
|
|
|
from langchain_community.utilities.sql_database import SQLDatabase
|
|
|
|
metadata_obj = MetaData()
|
|
|
|
event.listen(metadata_obj, "before_create", schema.CreateSchema("schema_a"))
|
|
event.listen(metadata_obj, "before_create", schema.CreateSchema("schema_b"))
|
|
|
|
user = Table(
|
|
"user",
|
|
metadata_obj,
|
|
Column("user_id", Integer, Sequence("user_id_seq"), primary_key=True),
|
|
Column("user_name", String, nullable=False),
|
|
schema="schema_a",
|
|
)
|
|
|
|
company = Table(
|
|
"company",
|
|
metadata_obj,
|
|
Column("company_id", Integer, Sequence("company_id_seq"), primary_key=True),
|
|
Column("company_location", String, nullable=False),
|
|
schema="schema_b",
|
|
)
|
|
|
|
|
|
def test_table_info() -> None:
|
|
"""Test that table info is constructed properly."""
|
|
engine = create_engine("duckdb:///:memory:")
|
|
metadata_obj.create_all(engine)
|
|
|
|
db = SQLDatabase(engine, schema="schema_a", metadata=metadata_obj)
|
|
output = db.table_info
|
|
expected_output = """
|
|
CREATE TABLE schema_a."user" (
|
|
user_id INTEGER NOT NULL,
|
|
user_name VARCHAR NOT NULL,
|
|
PRIMARY KEY (user_id)
|
|
)
|
|
/*
|
|
3 rows from user table:
|
|
user_id user_name
|
|
*/
|
|
"""
|
|
|
|
assert sorted(" ".join(output.split())) == sorted(" ".join(expected_output.split()))
|
|
|
|
|
|
def test_sql_database_run() -> None:
|
|
"""Test that commands can be run successfully and returned in correct format."""
|
|
engine = create_engine("duckdb:///:memory:")
|
|
metadata_obj.create_all(engine)
|
|
stmt = insert(user).values(user_id=13, user_name="Harrison")
|
|
with engine.begin() as conn:
|
|
conn.execute(stmt)
|
|
|
|
with pytest.warns(Warning) as records:
|
|
db = SQLDatabase(engine, schema="schema_a")
|
|
|
|
# Metadata creation with duckdb raises 3 warnings at the moment about reflection.
|
|
# As a stop-gap to increase strictness of pytest to fail on warnings, we'll
|
|
# explicitly catch the warnings and assert that it's the one we expect.
|
|
# We may need to revisit at a later stage and determine why a warning is being
|
|
# raised here.
|
|
for record in records:
|
|
assert isinstance(record.message, Warning)
|
|
assert any(
|
|
record.message.args[0] # type: ignore
|
|
== "duckdb-engine doesn't yet support reflection on indices"
|
|
for record in records
|
|
)
|
|
|
|
command = 'select user_name from "user" where user_id = 13'
|
|
output = db.run(command)
|
|
expected_output = "[('Harrison',)]"
|
|
assert output == expected_output
|