tracktolib 0.49.0

Utility library for python

Tracktolib

Utility library for python

Installation

You can choose to not install all the dependencies by specifying the extra parameter such as:

poetry add tracktolib@latest -E pg-sync -E tests --group dev 

Here we only install the utilities using psycopg (pg-sync) and deepdiff (tests) for the dev environment.

Utilities

• log

Utility functions for logging.

import logging
from tracktolib.logs import init_logging

logger = logging.getLogger()
formatter, stream_handler = init_logging(logger, 'json', version='0.0.1')

• pg

Utility functions for asyncpg

• pg-sync

Utility functions based on psycopg such as fetch_one, insert_many, fetch_count ...

To use the functions, create a Connection using psycopg: conn = psycopg2.connect()

fetch_one

from tracktolib.pg.pg_sync import (
    insert_many, fetch_one, fetch_count, fetch_all
)

data = [
    {'foo': 'bar', 'value': 1},
    {'foo': 'baz', 'value': 2}
]
insert_many(conn, 'public.test', data)  # Will insert the 2 dict
query = 'SELECT foo from public.test order by value asc'
value = fetch_one(conn, query, required=True)  # Will return {'foo': 'bar'}, raise an error is not found
assert fetch_count(conn, 'public.test') == 2
query = 'SELECT * from public.test order by value asc'
assert fetch_all(conn, query) == data

• tests

Utility functions for testing

• s3-minio

Utility functions for minio

• s3

Utility functions for aiobotocore

• logs

Utility functions to initialize the logging formatting and streams

• http

Utility functions using httpx

• api

Utility functions using fastapi