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INSTALLATION.md
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INSTALLATION.md
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# Complete Project Setup Guide for Firefly III Analytics
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## Prerequisites
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- Python 3.11+
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- Node.js 18+
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- Docker & Docker Compose (for containerized deployment)
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- Git
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## Manual Project Setup
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If the automated init script doesn't work, follow these steps:
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### 1. Create Directory Structure
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```bash
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mkdir -p backend/app/{routers,services,clients}
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mkdir -p frontend/src/{components,pages,services,types}
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mkdir -p data
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```
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### 2. Backend Setup
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Create `backend/pyproject.toml`:
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```
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[project]
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name = "firefly-analytics-backend"
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version = "0.1.0"
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description = "Firefly III Analytics & Reporting Backend"
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requires-python = ">=3.11"
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dependencies = [
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"fastapi==0.104.1",
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"uvicorn[standard]==0.24.0",
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"httpx==0.25.2",
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"python-dotenv==1.0.0",
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"pydantic==2.5.0",
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"pydantic-settings==2.1.0",
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"sqlalchemy==2.0.23",
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"python-dateutil==2.8.2",
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"apscheduler==3.10.4",
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]
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[project.optional-dependencies]
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dev = [
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"pytest==7.4.3",
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"pytest-asyncio==0.21.1",
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"black==23.12.0",
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"ruff==0.1.8",
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]
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```
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### 3. Create .env File
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```bash
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cp .env.example .env
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# Edit .env and add your Firefly III API token
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```
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### 4. Install and Run Backend
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```bash
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cd backend
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python -m venv venv
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# On Windows: venv\Scripts\activate
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# On Mac/Linux: source venv/bin/activate
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pip install -e .
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uvicorn app.main:app --reload
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```
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### 5. Frontend Setup
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```bash
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cd frontend
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npx create-react-app . --template typescript
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npm install recharts axios
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npm start
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```
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### 6. Docker Deployment
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```bash
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docker-compose up -d
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```
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## API Documentation
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Once the backend is running, visit http://localhost:8000/docs for interactive API docs.
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## Project File Structure (Complete)
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All source code files are documented in `COMPLETE_SOURCE_CODE.md`
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