Files
dvc/tests/func/test_import_db_e2e.py
T
skshetry 8768b50aed experimental: support connection strings for databases (#10125)
* experimental: support connection strings for databases using connectorx

This adds an experimental support for connector strings using connectorx.

User has to provide config for the connection strings with:

Example:
```console
dvc config --local db_connection.pg postgres://user:pass@localhost:5432/database
```

And then, they can import using:
```console
dvc import-db --sql 'query' --conn pg
```

Check supported databases and how to configure in https://sfu-db.github.io/connector-x/databases.html.
This `db_connection` config is subject to change.

connectorx still has the same problem with dbt as before: no support for streaming,
but it'll be a bit more simpler to configure with the connection strings.

* add pandas to deps

* sqlalchemy

* dbt streaming sql

* fix test

* remove connectorx

* remove check in set

* use mode='wb' for serialization
2023-12-03 19:23:09 +05:45

143 lines
4.0 KiB
Python

"""E2E tests involving dvc/dbt and a ~~real~~ sqlite db.
Any other tests should likely be mocked tests in `test_import_db` rather than here.
"""
import os
import sqlite3
from contextlib import closing
import pytest
from agate import Table
from dvc.types import StrPath
pytest.importorskip("dbt.adapters.sqlite", reason="dbt-sqlite not installed")
@pytest.fixture(autouse=True)
def disable_tracking(monkeypatch):
monkeypatch.setenv("DO_NOT_TRACK", "1")
@pytest.fixture(autouse=True)
def mock_sqlite_adapter(mocker):
# https://github.com/codeforkjeff/dbt-sqlite/issues/47
mocker.patch(
"dbt.adapters.sqlite.connections.SQLiteCredentials.unique_field", "sqlite_host"
)
@pytest.fixture
def db_path(tmp_dir):
d = tmp_dir / "db"
d.mkdir()
return d / "main.db"
@pytest.fixture
def seed_db(db_path):
conn = sqlite3.connect(db_path)
conn.execute("CREATE TABLE model (id INTEGER PRIMARY KEY, value INTEGER)")
def inner(values):
conn.executemany("INSERT INTO model(value) VALUES(?)", [(i,) for i in values])
conn.commit()
with closing(conn):
yield inner
@pytest.fixture
def db_config(dvc, db_path):
# only needed for `sql_conn` tests
with dvc.config.edit(level="local") as conf:
conf["db"] = {"conn": {"url": f"sqlite:///{db_path.fs_path}"}}
return "conn"
@pytest.fixture
def dbt_profile(tmp_dir, scm, db_path):
(tmp_dir / "profiles.yml").dump(
{
"sqlite_profile": {
"target": "dev",
"outputs": {
"dev": {
"type": "sqlite",
"threads": 1,
"database": "database",
"schema": "main",
"schemas_and_paths": {"main": os.fspath(db_path)},
"schema_directory": os.fspath(db_path.parent),
}
},
}
}
)
scm.add_commit(["profiles.yml"], message="add profiles.yml")
return "sqlite_profile"
@pytest.fixture
def dbt_project(tmp_dir, scm, dbt_profile):
(tmp_dir / "dbt_project.yml").dump({"name": "project", "profile": dbt_profile})
scm.add_commit(["dbt_project.yml"], message="add dbt_project")
return tmp_dir
@pytest.fixture
def dbt_model(dbt_project):
dbt_project.scm_gen(
{"models": {"model.sql": "select * from models"}}, commit="add models"
)
return "model"
@pytest.fixture(params=("sql", "model", "external_model", "sql_conn"))
def import_db_parameters(request: pytest.FixtureRequest):
if request.param == "sql":
profile = request.getfixturevalue("dbt_profile")
return {"sql": "select * from model", "profile": profile}
if request.param == "sql_conn":
conn = request.getfixturevalue("db_config")
return {"sql": "select * from model", "connection": conn}
dbt_project = request.getfixturevalue("dbt_project")
return {
"model": request.getfixturevalue("dbt_model"),
"url": None if request.param == "model" else os.fspath(dbt_project),
}
@pytest.fixture
def file_name(import_db_parameters):
if model := import_db_parameters.get("model"):
return model
return "results"
def load_table(file: StrPath, typ: str) -> "Table":
return getattr(Table, f"from_{typ}")(file)
@pytest.mark.filterwarnings("ignore::ResourceWarning") # dbt leaks fileobj from logger
@pytest.mark.parametrize("output_format", ("csv", "json"))
def test_e2e(
tmp_dir, scm, dvc, seed_db, import_db_parameters, file_name, output_format
):
seed_db(values=range(5))
stage = dvc.imp_db(**import_db_parameters, output_format=output_format)
output_file = tmp_dir / f"{file_name}.{output_format}"
output = load_table(output_file, output_format)
assert output.rows == [(i + 1, i) for i in range(5)]
seed_db(values=range(5, 10))
dvc.update(stage.addressing)
output = load_table(output_file, output_format)
assert output.rows == [(i + 1, i) for i in range(10)]