Skip to main content

database layer for my personal server.

Project description

lapa_database

about

database layer for my personal server.

installation

pip install lapa_database[all]

usage (WIP)

config.example.ini to config.ini.

CREATE_SCHEMA = True to create database from scratch.

LOG_FILE_NAME and configure logger

link to lapa_database_structure

configs

  1. lapa_database\data\config.ini (can be created using lapa_database\data\config.example.ini)
  2. lapa_logger\data\config.ini

env

  • python>=3.12.0

changelog

v0.0.8

  • add module name in config.
  • add first test case.
  • add dependencies for testing.
  • add GitHub workflow for testing.
  • remove config from gitignore.

v0.0.7

  • use lapa_commons to read config.

v0.0.6

  • change default value of ignore_filters_and_get_all to False.

v0.0.5

  • make crud logic default to no rows when filters are empty.
  • add new parameters to make it easy to select all rows for edit, delete and get.
  • move logger to configuration.py to fix bug of multiple logs being created.

v0.0.4

  • rename to lapa database.
  • fix bug in create_database that occurred in default data insertion.
  • add logs to gitignore.
  • change psycopg2 to psycopg2-binary in setup.py.

v0.0.3

  • created utils folder containing CommonOperations.py under which the common functions used across modules are stored.
  • web_socket implemented for retrieving the data from the table when a new row is added/deleted/updated.
    • it takes database_name, table_name and schema_name as input through query params.
    • input for websocket
      • /ws/<database_name>/<table_name>/<schema_name>
        • E.g. /ws/game/player/public
    • initially returns all the rows and if any update is made it returns the updated data.
    • trigger creation is implemented once the websocket connection is made. it will first check if the trigger function already exists or not and then only create.

v0.0.2

  • remove databases folder and enums related to tables and put in separate module for better version control.
  • add proper error message display on errors in configuration.py.
  • known bugs:
    • creating engines everytime on fastapi route call is creating idle sessions.

v0.0.1

  • initial implementation.
  • known bugs:
    • creating engines everytime on fastapi route call is creating idle sessions.

Feedback is appreciated. Thank you!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lapa_database-0.0.8.tar.gz (11.1 kB view details)

Uploaded Source

Built Distribution

lapa_database-0.0.8-py3-none-any.whl (13.6 kB view details)

Uploaded Python 3

File details

Details for the file lapa_database-0.0.8.tar.gz.

File metadata

  • Download URL: lapa_database-0.0.8.tar.gz
  • Upload date:
  • Size: 11.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for lapa_database-0.0.8.tar.gz
Algorithm Hash digest
SHA256 cfee49f1f4c7120ad665ad631361760050fb1479414181f143de244c92fab00b
MD5 fbf366f640af3220321a2f5eb41d582a
BLAKE2b-256 4d96b8d651ac43ad64b832922ff34993f5dd58039e00322ba36fe0a31f3a15f9

See more details on using hashes here.

File details

Details for the file lapa_database-0.0.8-py3-none-any.whl.

File metadata

File hashes

Hashes for lapa_database-0.0.8-py3-none-any.whl
Algorithm Hash digest
SHA256 d1d9e44aa2cbe6ee1b365280be527b560938a45f9003199a5196258b2ac49c7e
MD5 5b2a5b787153bc2fc0dfcc0504500d5a
BLAKE2b-256 744200d6b14b611afb7debeaeab2f7455e0df6e31eca094ce40c81e0b0afdb33

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page