Skip to main content

Matilo (C) Deep-Learning Model Serving Worker Module

Project description

Matilo Model Serving Worker (mmsw)

Environment

Name Desc
APP_ENV 운영 환경 (local/dev/test/prod)
PROJECT_NAME 프로젝트 이름
DB_SCHEME Sqlalchemy DB 스키마 (mysql+pymysql)
DB_HOST DB 서버 호스트 (IP)
DB_PORT DB 서버 포트
DB_USER DB 사용자 ID
DB_PWD DB 암호
DB_NAME DB 명
MODEL_NAME 서빙 할 모델의 고유 이름
MODEL_WORKER 서빙 할 모델 워커의 고유 이름
SLACK_URL 오류 발생시 메시지를 전달 할 Slack URL

Module Dist

  • New Stype
# Pre install
$ pip install build

# Do build & upload
$ python -m build
$ python -m twine upload dist/*
  • Old Stype
# Pre install
$ pip install setuptools wheel

# Do build & upload
$ python setup.py sdist bdist_wheel
$ python -m twine upload dist/*

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

mmsw-0.0.5.tar.gz (4.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mmsw-0.0.5-py3-none-any.whl (5.1 kB view details)

Uploaded Python 3

File details

Details for the file mmsw-0.0.5.tar.gz.

File metadata

  • Download URL: mmsw-0.0.5.tar.gz
  • Upload date:
  • Size: 4.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.4

File hashes

Hashes for mmsw-0.0.5.tar.gz
Algorithm Hash digest
SHA256 a84c386171867a08dfa7de2e75fe435a3751f2ac97c3fde18bc935c9b6080885
MD5 a07ed9e4a4f9fad5ae3c47bf4d0f61a3
BLAKE2b-256 e04e62a5b78372b21729e5d3796c34ca20ecc206f618648f44d7989dd410c37e

See more details on using hashes here.

File details

Details for the file mmsw-0.0.5-py3-none-any.whl.

File metadata

  • Download URL: mmsw-0.0.5-py3-none-any.whl
  • Upload date:
  • Size: 5.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.4

File hashes

Hashes for mmsw-0.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 0142ad89b5cc2b52dbe2a1be7261c5eeb89036a8765129b06b04fdfcadbcb715
MD5 94dfb019818b0c319f807431e70de597
BLAKE2b-256 861fd8879934c11ef6c77c0dcf3bf54a753cdbe5b597302035495c2e1747abef

See more details on using hashes here.

Supported by

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