https://github.com/texasmadecode/agent
https://github.com/texasmadecode/agent
Last synced: 10 months ago
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- Host: GitHub
- URL: https://github.com/texasmadecode/agent
- Owner: texasmadecode
- License: mit
- Created: 2025-08-21T17:29:15.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-08-21T17:44:26.000Z (10 months ago)
- Last Synced: 2025-08-21T20:04:57.746Z (10 months ago)
- Language: Python
- Size: 252 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 6
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Security: SECURITY.md
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README
# π€ Automated Marketing Agent
*A comprehensive AI-powered marketing automation platform for multi-platform social media management*
[](https://python.org)
[](https://fastapi.tiangolo.com)
[](https://docker.com)
[](LICENSE)
[](https://github.com/yourusername/automated-marketing-agent/stargazers)
[](https://github.com/yourusername/automated-marketing-agent/network/members)
[](https://github.com/yourusername/automated-marketing-agent/issues)
## π Table of Contents
- [π Demo & Screenshots](#-demo--screenshots)
- [β¨ Key Features](#-key-features)
- [π Quick Start](#-quick-start)
- [π API Configuration](#-api-configuration)
- [π³ Docker Commands](#-docker-commands)
- [π± Access Points](#-access-points)
- [ποΈ System Architecture](#οΈ-system-architecture)
- [π οΈ Technology Stack](#οΈ-technology-stack)
- [π Core Components](#-core-components)
- [π Project Structure](#-project-structure)
- [π¦ Getting Started Guide](#-getting-started-guide)
- [π§ Development](#-development)
- [π Monitoring & Maintenance](#-monitoring--maintenance)
- [πΊοΈ Roadmap](#οΈ-roadmap)
- [π€ Contributing](#-contributing)
- [π License](#-license)
- [π Support & Community](#-support--community)
- [π§ͺ Testing](#-testing)
## π Demo & Screenshots

*Modern, intuitive dashboard for managing all your marketing campaigns*
| Feature | Preview |
|---------|---------|
| π **Analytics Dashboard** | Real-time metrics and performance insights |
| π¨ **Content Studio** | AI-powered content generation and editing |
| π
**Campaign Manager** | Multi-platform scheduling and automation |
| π **Security Center** | Encrypted credentials and access controls |
## β¨ Key Features
| π― **AI-Powered** | π
**Multi-Platform** | π **Analytics** | π **Secure** |
|:-----------------:|:---------------------:|:----------------:|:--------------:|
| OpenAI GPT integration for content generation | Instagram, Facebook, LinkedIn, Twitter, TikTok | Real-time engagement tracking | Encrypted credentials & compliance |
| Smart optimization algorithms | Unified posting interface | Performance insights & ROI | Role-based access controls |
| Brand voice consistency | Cross-platform campaigns | Trend analysis & recommendations | GDPR-compliant data handling |
### π Core Capabilities
- **π€ AI Content Generation** - Create engaging posts using OpenAI GPT models with brand-specific training
- **π± Multi-Platform Publishing** - Seamlessly post to Instagram, Facebook, LinkedIn, Twitter, and TikTok
- **π Advanced Analytics** - Track engagement, reach, and ROI with detailed performance metrics
- **β‘ Smart Automation** - Rule-based workflows and optimal timing algorithms
- **π¨ Brand Management** - Maintain consistent voice, style, and messaging across all platforms
- **π Enterprise Security** - Military-grade encryption and compliance-ready infrastructure
## π Quick Start
**Get up and running in under 5 minutes!**
### π³ Option 1: Docker (Recommended)
```bash
# π₯ Clone the repository
git clone https://github.com/yourusername/automated-marketing-agent.git
cd automated-marketing-agent
# π§ Interactive setup (handles everything)
./setup.sh
# π Quick start (if already configured)
./start.sh
```
### π» Option 2: Local Development
```bash
# π Create virtual environment
python -m venv venv
source venv/bin/activate # Windows: venv\Scripts\activate
# π¦ Install dependencies
pip install -r requirements.txt
# βοΈ Configure environment
cp .env.example .env
# Edit .env with your API keys
# ποΈ Initialize database
alembic upgrade head
python -m app.core.init_db
# π Start server
uvicorn app.main:app --reload
```
> π‘ **Pro Tip**: Use `./setup.sh` for guided configuration or `python configure_api_keys.py` for API key management.
## π API Configuration
### Required
- **OpenAI API Key** - Get from [OpenAI Platform](https://platform.openai.com/api-keys)
### Optional (Enable platform-specific features)
- **Facebook/Instagram** - [Meta Developers](https://developers.facebook.com/)
- **Twitter/X** - [Twitter Developer Portal](https://developer.twitter.com/)
- **LinkedIn** - [LinkedIn Developers](https://www.linkedin.com/developers/)
- **TikTok** - [TikTok Developers](https://developers.tiktok.com/)
```bash
# Interactive configuration helper
python configure_api_keys.py
```
## π³ Docker Commands
```bash
make help # Show all commands
make up # Start all services
make dev # Development mode
make logs # View logs
make down # Stop services
make shell # Access container
make clean # Clean resources
```
## π± Access Points
| Service | URL | Description |
|---------|-----|-------------|
| π **Main App** | http://localhost:8000 | Dashboard & Interface |
| π **API Docs** | http://localhost:8000/docs | Interactive API Documentation |
| π **ReDoc** | http://localhost:8000/redoc | Alternative API Documentation |
| β€οΈ **Health** | http://localhost:8000/health | Service Health Status |
## ποΈ System Architecture
```mermaid
graph TB
subgraph "Frontend Layer"
A[π Web Dashboard]
B[π± Mobile Interface]
end
subgraph "API Gateway"
C[π FastAPI Server]
D[π Authentication]
E[π Rate Limiting]
end
subgraph "Business Logic"
F[π― Content Service]
G[π
Scheduler Service]
H[π Analytics Service]
I[π€ AI Service]
end
subgraph "Data Layer"
J[ποΈ PostgreSQL]
K[β‘ Redis Cache]
L[π File Storage]
end
subgraph "Background Workers"
M[βοΈ Celery Workers]
N[π€ Posting Tasks]
O[π Analytics Tasks]
end
subgraph "External APIs"
P[π€ OpenAI]
Q[π Meta APIs]
R[π¦ Twitter API]
S[πΌ LinkedIn API]
T[π΅ TikTok API]
end
A --> C
B --> C
C --> D
C --> E
C --> F
C --> G
C --> H
C --> I
F --> J
G --> K
H --> J
I --> P
M --> N
M --> O
N --> Q
N --> R
N --> S
N --> T
F --> L
```
**Scalable microservices architecture with async processing and real-time analytics**
## οΏ½οΈ Technology Stack
| **Backend** | **Frontend** | **Database** | **DevOps** | **AI/ML** |
|:-----------:|:------------:|:------------:|:----------:|:---------:|
|  |  |  |  |  |
|  |  |  |  |  |
|  |  |  |  |  |
## π Core Components
- **Centralized Repository** - Store and organize all marketing content
- **AI Content Generation** - Create posts using OpenAI GPT models
- **Brand Guidelines** - Maintain consistent voice and style
- **Media Library** - Support for images, videos, and rich media
### π
Scheduling & Automation
- **Multi-Platform Publishing** - Post to all major social platforms
- **Smart Scheduling** - Optimal timing based on audience engagement
- **Campaign Management** - Organize content into targeted campaigns
- **Automated Workflows** - Rule-based posting sequences
### π Analytics & Insights
- **Real-Time Metrics** - Track engagement as it happens
- **Performance Reports** - Detailed analytics and ROI calculations
- **AI Recommendations** - Data-driven optimization suggestions
- **Trend Analysis** - Identify what content performs best
### οΏ½ Security & Compliance
- **Encrypted Storage** - Secure credential and data management
- **Access Controls** - Role-based permissions and audit trails
- **Privacy Protection** - GDPR-compliant data handling
- **API Security** - Rate limiting and authentication
## π Project Structure
π Click to expand project structure
```
automated-marketing-agent/
βββ π³ Docker Configuration
β βββ Dockerfile # Production container image
β βββ docker-compose.yml # Production orchestration
β βββ docker-compose.dev.yml # Development environment
β βββ .dockerignore # Docker build exclusions
β
βββ π Application Core
β βββ app/
β βββ π api/v1/ # REST API endpoints
β β βββ endpoints/ # Route handlers
β βββ π§ core/ # Configuration & database
β β βββ config.py # Environment settings
β β βββ database.py # Database connection
β β βββ security.py # Authentication
β β βββ celery.py # Background tasks
β βββ π models/ # SQLAlchemy models
β β βββ user.py # User & authentication
β β βββ content.py # Content & campaigns
β βββ π― services/ # Business logic
β β βββ ai_service.py # OpenAI integration
β β βββ social_platforms.py # Platform APIs
β βββ βοΈ tasks/ # Celery background jobs
β βββ content_tasks.py # Content generation
β βββ posting_tasks.py # Social media posting
β
βββ ποΈ Database & Migrations
β βββ migrations/ # Alembic database migrations
β β βββ versions/ # Migration scripts
β βββ alembic.ini # Migration configuration
β βββ init-db.sql # Database initialization
β
βββ βοΈ Configuration & Setup
β βββ .env.example # Environment template
β βββ requirements.txt # Production dependencies
β βββ requirements-minimal.txt # Minimal dependencies
β βββ setup.sh # Interactive setup script
β βββ configure_api_keys.py # API key configuration
β βββ Makefile # Development commands
β
βββ π Documentation
βββ README.md # This file
βββ DOCKER.md # Docker deployment guide
βββ DEVELOPMENT_STATUS.md # Development progress
```
## π¦ Getting Started Guide
**π― Complete setup in 5 simple steps**
### π Prerequisites
π³
Docker & Docker Compose
Recommended for easy deployment
Get Docker β
π
Python 3.11+
For local development
Download Python β
π
API Keys
From platforms you want to use
Configuration Guide β
### π οΈ Installation Steps
#### Step 1: Clone Repository
```bash
git clone https://github.com/yourusername/automated-marketing-agent.git
cd automated-marketing-agent
```
#### Step 2: Choose Your Setup Method
π³ Docker (Recommended)
π» Local Development
```bash
# Interactive setup
./setup.sh
# Manual setup
cp .env.example .env
# Edit .env file
docker-compose up -d
```
```bash
# Create virtual environment
python -m venv venv
source venv/bin/activate
# Install dependencies
pip install -r requirements.txt
# Setup database
cp .env.example .env
# Edit .env file
alembic upgrade head
python -m app.core.init_db
```
#### Step 3: Configure API Keys
```bash
# Interactive configuration
python configure_api_keys.py
# Or manually edit .env
nano .env
```
#### Step 4: Launch Application
```bash
# Docker
make up
# Local
uvicorn app.main:app --reload
```
#### Step 5: Access Dashboard
Open your browser to **http://localhost:8000** π
### π― First Steps Checklist
- [ ] π Create your first client/brand profile
- [ ] π Connect social media accounts
- [ ] π¨ Generate your first AI content
- [ ] π
Schedule your first post
- [ ] π Review analytics dashboard
## π§ Development
### Local Development Setup
```bash
# Install dependencies
pip install -r requirements.txt
# Setup pre-commit hooks (optional)
pre-commit install
# Run tests
pytest
# Start development server
uvicorn app.main:app --reload --port 8000
```
### Docker Development
```bash
# Start development environment
make dev
# Access container shell
make shell
# View logs
make logs
# Run migrations
make migrate
```
## π Monitoring & Maintenance
### Health Checks
```bash
# Application health
curl http://localhost:8000/health
# Service status
make status
```
### Logs & Debugging
```bash
# View all logs
make logs
# Specific service logs
docker-compose logs -f api
docker-compose logs -f worker
```
### Backup & Recovery
```bash
# Database backup
docker-compose exec postgres pg_dump -U marketing_admin marketing_agent > backup.sql
# Restore database
docker-compose exec -T postgres psql -U marketing_admin marketing_agent < backup.sql
```
## πΊοΈ Roadmap
**π Exciting features coming soon!**
### β
Current Features (v1.0)
- β
Multi-platform social media posting
- β
AI-powered content generation
- β
Basic analytics and reporting
- β
Campaign management
- β
User authentication and security
- β
Docker deployment
### π§ In Development (v1.1)
- π Advanced automation workflows
- π Enhanced analytics dashboard
- π¨ Visual content editor
- π± Mobile app companion
- π Real-time notifications
### π― Planned Features (v2.0)
- π€ Advanced AI recommendations
- π₯ Video content support
- π Custom reporting builder
- π Multi-language support
- π CRM integrations
- βοΈ Cloud storage integrations
### π Future Vision (v3.0+)
- π§ Predictive analytics
- πͺ Interactive content creation
- π Multi-tenant SaaS platform
- π± Native mobile apps
- π€ Influencer collaboration tools
> π‘ **Have ideas?** [Share your feature requests](https://github.com/yourusername/automated-marketing-agent/discussions) with the community!
## π€ Contributing
**We β€οΈ contributions! Join our community of developers building the future of marketing automation.**
[](https://github.com/yourusername/automated-marketing-agent/graphs/contributors)
[](https://github.com/yourusername/automated-marketing-agent/pulls)
### π How to Contribute
1. **π΄ Fork** the repository
2. **πΏ Create** a feature branch
```bash
git checkout -b feature/amazing-feature
```
3. **β¨ Make** your changes
4. **π§ͺ Test** your changes
```bash
pytest
```
5. **π Commit** your changes
```bash
git commit -m 'Add amazing feature'
```
6. **π Push** to your branch
```bash
git push origin feature/amazing-feature
```
7. **π¬ Open** a Pull Request
### π― Areas We Need Help
| Area | Skills Needed | Difficulty |
|------|---------------|------------|
| π€ **AI Integrations** | Python, OpenAI API, Machine Learning | π‘ Medium |
| π **Frontend Development** | React, TypeScript, Tailwind CSS | π’ Easy |
| π± **Social Media APIs** | REST APIs, OAuth, Platform SDKs | π‘ Medium |
| π **Security & Compliance** | Cybersecurity, GDPR, Encryption | π΄ Hard |
| π **Analytics & Reporting** | Data Science, Visualization, SQL | π‘ Medium |
| π **Documentation** | Technical Writing, Markdown | π’ Easy |
### π Development Guidelines
- **Code Style**: Follow PEP 8 for Python, ESLint for JavaScript
- **Testing**: Write tests for new features (aim for 80%+ coverage)
- **Documentation**: Update docs for any API changes
- **Commits**: Use conventional commit messages
- **Reviews**: All PRs require at least one review
### π Recognition
Contributors will be:
- β Listed in our contributors section
- ποΈ Featured in release notes
- π
Eligible for our contributor recognition program
## π License
This project is licensed under the **MIT License** - see the [LICENSE](LICENSE) file for details.
```
MIT License - Feel free to use this project for personal or commercial purposes!
```
## π Support & Community
**Need help? We're here for you!**
π
Documentation
Comprehensive guides and API docs
οΏ½ Browse Docs β
π
Bug Reports
Found a bug? Let us know!
π Report Issue β
π¬
Discussions
Questions, ideas, and community chat
π Join Discussion β
π§
Direct Support
For enterprise and priority support
π© Contact Us β
### π Community
- π» **Discord**: [Join our developer community](https://discord.gg/yourserver)
- π¦ **Twitter**: [@YourHandle](https://twitter.com/yourhandle) - Follow for updates
- πΊ **YouTube**: [Tutorial videos and demos](https://youtube.com/yourchannel)
- π **Blog**: [Development updates and tutorials](https://yourblog.com)
## β Show Your Support
**If this project helped you, please consider:**
[](https://github.com/yourusername/automated-marketing-agent)
[](https://github.com/yourusername)
[](https://twitter.com/intent/tweet?text=Check%20out%20this%20amazing%20AI-powered%20marketing%20automation%20tool!&url=https://github.com/yourusername/automated-marketing-agent)
**Every β helps us grow and improve!**
---
### π **Built with β€οΈ for modern marketing teams**
**[π Homepage](https://yourwebsite.com)** β’ **[π Documentation](docs/)** β’ **[π― Roadmap](#-roadmap)** β’ **[π€ Contributing](#-contributing)**
Made with β€οΈ by the **Automated Marketing Agent** team
## π§ͺ Testing
**Comprehensive test suite with unit, integration, security, and performance tests**
### π Quick Test Commands
```bash
# Run all tests
make test
# Run specific test types
make test-unit # Unit tests only
make test-integration # Integration tests only
make test-security # Security tests only
make test-performance # Performance tests only
# Coverage and reporting
make test-coverage # Generate coverage report
make test-watch # Watch mode for development
make test-docker # Run tests in Docker
```
### π Test Categories
| Test Type | Description | Command |
|-----------|-------------|---------|
| π¬ **Unit Tests** | Fast, isolated component tests | `./run_tests.sh unit` |
| π **Integration Tests** | End-to-end API workflow tests | `./run_tests.sh integration` |
| π **Security Tests** | Security scanning and vulnerability checks | `./run_tests.sh security` |
| β‘ **Performance Tests** | Load testing and performance benchmarks | `./run_tests.sh performance` |
### π― Test Coverage
Our test suite covers:
- β
**API Endpoints** - All REST API routes and responses
- β
**Authentication** - User registration, login, and JWT tokens
- β
**Content Management** - CRUD operations and validation
- β
**AI Integration** - OpenAI service and content generation
- β
**Database Operations** - Models, relationships, and migrations
- β
**Security** - Input validation, authentication, and authorization
- β
**Error Handling** - Edge cases and error scenarios
### π§ Test Setup
For local testing:
```bash
# Install test dependencies
pip install pytest pytest-cov pytest-asyncio pytest-mock httpx
# Run tests with coverage
pytest --cov=app --cov-report=html
# View coverage report
open htmlcov/index.html
```
For Docker testing:
```bash
# Run complete test suite in Docker
make test-docker
# Or manually
docker-compose -f docker-compose.test.yml up --build
```
### π Continuous Integration
Tests run automatically on:
- π **Every Push** - GitHub Actions workflow
- π **Pull Requests** - Automated PR testing
- π **Nightly** - Scheduled comprehensive testing
- π·οΈ **Releases** - Full test suite validation
View test results and coverage reports in the [GitHub Actions](https://github.com/yourusername/automated-marketing-agent/actions) tab.
## π§ Development