camoo/camoo-ai
Composer 安装命令:
composer create-project camoo/camoo-ai
包简介
Camoo AI Platform
关键字:
README 文档
README
Camoo AI - based on Symfony framework
This project is a fullstack Symfony application that demonstrates how to build a self-learning AI pipeline using Symfony 7.x, PHP 8.4, Docker, and various other tools and libraries. The application includes features such as AI model training, and data management. Feel free to explore the codebase and adapt it to your own needs! We hope you find it useful and inspiring. All contributions are welcome.
How to run the project
Prerequisites
- Docker
- Docker Compose
- PHP 8.4
- Symfony 7.x
- Symfony CLI (optional, but recommended)
- Composer (optional, but recommended)
- PHPUnit
Steps to run the project
- Clone the repository
# Clone the repository git clone htts://github.com/camoo/camoo-ai cd camoo-ai # Install dependencies docker-compose exec camoo-ai composer install # Or if you have composer installed locally composer install # Use make to install dependencies make install
Bring up the project
docker-compose up -d --build
# Or if you have make installed
make up
Bring down the project
docker-compose down
# Or if you have make installed
make down
Start Websocket server
# 8086 is the port number, you can change it as needed docker-compose exec camoo-ai php bin/console app:websocket:serve 8086 OR on production use nohup php bin/console app:websocket:serve > /dev/null 2>&1 & # stop the websocket server pkill -f "php bin/console app:websocket:serve"
Test Websocket connection
npx wscat -c ws://localhost:8383/ws # start sending messages {"message":"Hello, AI!", "context": {}}
Test AI via CLI Command
# log into the container docker-compose exec camoo-ai bash # run the AI command php bin/console app:chat # start typing your messages tell me a joke
Access the application
- Frontend: http://localhost:8383/ai-test.html
- Code Coverage: http://localhost:8383/coverage/
- PHPMyAdmin: http://localhost:8484/
- Login:
root - Password:
root
- Login:
Access the terminal
docker-compose exec camoo-ai bash # Or if you have make installed make shell
log files
# Application logs docker-compose exec camoo-ai tail -f var/log/dev.log
Run migration
docker-compose exec camoo-ai php bin/console doctrine:migrations:migrate --no-interaction # Or if you have make installed make migrate # For test environment docker-compose exec camoo-ai php bin/console doctrine:migrations:migrate --env=test --no-interaction # Or if you have make installed make migrate-test # Optionally, you can also run the fixtures to populate the database with initial data docker-compose exec camoo-ai php bin/console cache:clear --env=test # Or if you have make installed make fixtures
Run Unit tests
docker-compose exec camoo-ai composer test # Or if you have phpunit installed locally composer test # Or if you have make installed make test
Run PHP Cs Fixer / Linter
docker-compose exec camoo-ai composer lint # Or if you have php-cs-fixer installed locally composer lint # Or if you have make installed make lint
Run Deptrac analysis
docker-compose exec camoo-ai php vendor/bin/deptrac analyse --report-uncovered # Or if you have deptrac installed locally composer analyse # Or if you have make installed make analyse
camoo/camoo-ai 适用场景与选型建议
camoo/camoo-ai 是一款 基于 PHP 开发的 Composer 扩展包,目前已累计 0 次下载、GitHub Stars 达 0, 最近一次更新时间为 2025 年 10 月 22 日, 在 PHP 生态内属于活跃度较高的组件。
它主要适用于以下技术方向: 「artificial intelligence」 「machine learning」 「Deep learning」 「neural networks」 「CAMOO AI」 「AI Platform」 等业务场景。在实际项目中,围绕这些方向常见需要落地的问题包括:接口对接、性能调优、并发安全、与既有框架(Laravel / ThinkPHP / Yii / Webman 等)的兼容适配,以及生产环境的日志埋点与稳定性保障。
我们在过去多个企业项目中使用过 camoo/camoo-ai 或与其功能相近的方案,如果你在选型或落地过程中遇到问题,例如 版本兼容、二次改造、私有化封装、与内部系统对接、生产 BUG 排查,欢迎联系我们协助评估。
基于 camoo/camoo-ai 在你已有业务上做功能扩展、字段裁剪、UI 适配、与内部账号 / 权限 / 日志系统的深度对接。
线上偶发问题、内存泄漏、慢查询、并发异常等排查修复;针对高流量场景做缓存、队列、索引层面的调优。
承接完整的项目从需求 → 设计 → 开发 → 上线 → 长期运维;也可按月提供技术保姆服务。
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统计信息
- 总下载量: 0
- 月度下载量: 0
- 日度下载量: 0
- 收藏数: 0
- 点击次数: 26
- 依赖项目数: 0
- 推荐数: 0
其他信息
- 授权协议: MIT
- 更新时间: 2025-10-22