# qzq1111/flask-restful-example

flask后端开发接口示例，利用Flask开发后端API接口。包含基本的项目配置、统一响应、MySQL和Redis数据库操作、定时任务、图片生成、项目部署、用户权限认证、报表输出、无限层级生成目录树、阿里云手机验证码验证、微信授权、Celery、单元测试、Drone等模块。

Repository: https://github.com/qzq1111/flask-restful-example
Canonical: https://ross.abutalabs.com/products/flask-restful-example
Language: Python
License: MIT
License Family: permissive
Topics: python3, flask, flask-restful, docker, office, docker-compose, flask-api, flask-celery, drone, flask-yaml, unittest
Last push: 2024-09-04T09:43:01+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2720, "days_push": 728, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1001, forks 296 (observed 2026-09-03T02:15:17.223466+00:00)

## What it is
A Flask RESTful API example project demonstrating common backend patterns: configuration, unified responses, MySQL/Redis access, JWT auth, scheduled tasks, Celery, report generation, and Docker deployment. It accompanies a Chinese blog series and serves as a reference template for building Flask backends.

## Use cases
- learn how to build a REST API backend with Flask
- example of JWT authentication in Flask
- Flask project with Docker and Gunicorn deployment setup
- integrate Celery with Flask for background tasks
- Flask unit testing with coverage reports example
- template for Flask + SQLAlchemy + Redis project structure
- set up CI/CD with Drone for a Python backend

## When to choose
- starting a Flask backend and wanting a battle-tested reference structure
- learning common backend patterns like auth, scheduling, and unified responses in Flask
- you want a working Docker deployment setup for Flask

## When to avoid
- you need a production framework with active maintenance guarantees rather than an example project
- you use a framework other than Flask
- you need async or modern ASGI-style Python APIs

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: web-framework, api-framework, auth, database, caching, testing, scheduling, ci-cd, deployment, logging, configuration-management
- domain: web-development, backend, developer-tools, tutorials, apis
- platform: python
- tags: flask, flask-restful, celery, jwt, sqlalchemy, redis, apscheduler, drone-ci, example-project, boilerplate, docker, linux, web-server

## Member repositories
- qzq1111/flask-restful-example (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:17.223466+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:16:08.731529+00:00, confidence not recorded.
  - readme: https://github.com/qzq1111/flask-restful-example (fetched 2026-09-03T02:15:17.223466+00:00, sha b2d5d3240ee1)
- Data as of 2026-08-30T08:39:29.467469+00:00.