Simple Database API for Typed Python based PEP 249
Project description
Turu: Simple Database API for Typed Python
Installation
pip install turu[snowflake]
Why Turu?
SQL is a powerful language, but it has many dialects and is especially difficult to automatically test cloud-based SQL databases in a local environment.
Turu was developed as a simple tool to assist local development. It provides a simple interface according to PEP 249 – Python Database API Specification v2.0 and allows for easy recording of query results and injection mock data.
Supprted Database
Database | Supported | Installation |
---|---|---|
SQLite3 | Yes | pip install turu[sqlite3] |
MySQL | No | - |
PostgreSQL | No | - |
Snowflake | Yes | pip install turu[snowflake] |
BigQuery | Yes | pip install turu[bigquery] |
Usage
Basic Usage
from pydantic import BaseModel
class Row(BaseModel):
id: int
name: str
connection = turu.sqlite3.connect("test.db")
with connection.execute_map(Row, "select 1, 'a'") as cursor:
assert cursor.fetchone() == Row(id=1, name="a")
Recording Usage
import turu.sqlite3
from turu.core.record import record_as_csv
from pydantic import BaseModel
class Row(BaseModel):
id: int
name: str
connection = turu.sqlite3.connect("test.db")
with record_as_csv("test.csv", connection.execute_map(Row, "select 1, 'a'")) as cursor:
assert cursor.fetchone() == Row(id=1, name="a")
Testing Usage
import turu.sqlite3
from pydantic import BaseModel
class Row(BaseModel):
id: int
name: str
expected1 = [Row(id=1, name="a"), Row(id=2, name="b")]
expected2 = [Row(id=3, name="c"), Row(id=4, name="d")]
expected3 = [Row(id=5, name="e"), Row(id=6, name="f")]
connection = turu.sqlite3.MockConnection()
(
connection.chain()
.inject_response(Row, expected1)
.inject_response(Row, expected2)
.inject_response(Row, expected3)
)
for expected in [expected1, expected2, expected3]:
with connection.execute_map(Row, "select 1, 'a'") as cursor:
assert cursor.fetchall() == expected
Project details
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