📚 Documentation Index & Navigation Guide

🎯 Start Here

New to the project? Start with these in order:

QUICK_START.md (5 min) - Get running in 5 minutes
DOCKER_POSTGRES_GUIDE.md (15 min) - Understand databases
ACCESS_USER_DATA.md (20 min) - Access reviews and predictions

📖 Complete Documentation

Core Documentation (New - Just Created)

Document	Purpose	Read Time
INTEGRATION_SUMMARY.md	Overview of all changes and new features	10 min
DOCKER_POSTGRES_GUIDE.md	Docker and PostgreSQL setup guide	15 min
ACCESS_USER_DATA.md	How to access and analyze user reviews	20 min
QUICK_START.md	Quick reference for common tasks	5 min
ARCHITECTURE_DIAGRAMS.md	Visual diagrams of system architecture	10 min
.env.example	Environment configuration template	2 min

Original Documentation (Updated)

Document	Purpose	Read Time
README.md	Project overview and goals	5 min
DEPLOYMENT.md	Production deployment options	10 min
PRODUCTION_ARCHITECTURE.md	Architecture decisions	10 min

Docker & Deployment Files

File	Purpose
`Dockerfile`	Builds the application container
`docker-compose.staging.yml`	Local development with PostgreSQL
`docker-compose.prod.yml`	Production setup (app + db + admin UI)
`.env.example`	Configuration template

Scripts & Tools (New)

Script	Purpose	Usage
`scripts/view_reviews.py`	View and export reviews	`python scripts/view_reviews.py --help`
`scripts/init_db.py`	Database management	`python scripts/init_db.py --help`
`scripts/setup_wizard.py`	Interactive setup	`python scripts/setup_wizard.py`

🗺️ Navigation by Use Case

"I want to..."

1. Get Started Quickly

Read: QUICK_START.md
Run: streamlit run dashboard/app.py
Default: Uses SQLite (no setup needed)

2. Set Up PostgreSQL Locally with Docker

Read: DOCKER_POSTGRES_GUIDE.md - Part 1
Run: docker-compose -f docker-compose.staging.yml up
Access: http://localhost:8501

3. Deploy to Production

Read: DEPLOYMENT.md
Read: DOCKER_POSTGRES_GUIDE.md - Part 4
Choose provider: Neon, Supabase, Railway, or Render
Set DATABASE_URL environment variable

4. Access User Reviews

View in app: Go to "Reviews & Deploy" tab
Export via CLI: python scripts/view_reviews.py --all
Read: ACCESS_USER_DATA.md for all methods

5. Analyze Predictions

CLI: python scripts/view_reviews.py --predictions
Python: Use pandas with load_reviews() function
SQL: Direct database queries
Read: ACCESS_USER_DATA.md - Method 4

6. Understand the Architecture

7. Choose a Database

Comparison: QUICK_START.md - Database Options section
Setup: DOCKER_POSTGRES_GUIDE.md - Part 4

8. Connect Power BI or Tableau

Setup: ACCESS_USER_DATA.md - Connecting BI Tools section

9. Troubleshoot Problems

Dashboard: QUICK_START.md - Troubleshooting section
Docker: DOCKER_POSTGRES_GUIDE.md - Troubleshooting section
Data: ACCESS_USER_DATA.md - Troubleshooting section

10. Backup/Export Data

Backup: ACCESS_USER_DATA.md - Backup & Recovery section
Export: python scripts/view_reviews.py --all
Automated: DOCKER_POSTGRES_GUIDE.md - Part 5.3

📊 Data Access Quick Reference

Method 1: Streamlit Dashboard (Easiest)

App → "Reviews & Deploy" tab
See reviews, export CSV, view stats
No technical knowledge needed
Details

Method 2: Command Line (Fast)

python scripts/view_reviews.py --all

View reviews, export CSV, show statistics
Details

Method 3: Python Code (Flexible)

from src.review_store import load_reviews
import pandas as pd
df = pd.DataFrame(load_reviews(limit=1000))

Full control, can do custom analysis
Details

Method 4: Direct SQL (Advanced)

from src.review_store import get_engine
from sqlalchemy import text
# Write custom SQL queries

For power users and analysts
Details

🎓 Learning Path

Beginner (Day 1)

QUICK_START.md - 5 minutes
Run: streamlit run dashboard/app.py
Submit a test review in the app
Export reviews via dashboard button

Intermediate (Day 2-3)

DOCKER_POSTGRES_GUIDE.md - Part 1 & 2
Try Docker Compose: docker-compose -f docker-compose.staging.yml up
ACCESS_USER_DATA.md - Method 2 & 3
Try CLI scripts and Python code

Advanced (Week 1)

PRODUCTION_ARCHITECTURE.md
DOCKER_POSTGRES_GUIDE.md - Part 4
Set up managed PostgreSQL
Deploy to production
ARCHITECTURE_DIAGRAMS.md - Understand full system

Expert (Week 2+)

DEPLOYMENT.md
Production hardening
Set up CI/CD pipeline
Database migrations
Authentication and monitoring

📋 File Structure

storage-forecaster/
│
├── 📄 DOCUMENTATION (Top-level)
│   ├── README.md (Project overview)
│   ├── QUICK_START.md ⭐ (START HERE)
│   ├── INTEGRATION_SUMMARY.md ⭐ (NEW - Overview)
│   ├── DOCKER_POSTGRES_GUIDE.md ⭐ (NEW - Docker & DB)
│   ├── ACCESS_USER_DATA.md ⭐ (NEW - Data Access)
│   ├── ARCHITECTURE_DIAGRAMS.md ⭐ (NEW - Diagrams)
│   ├── DEPLOYMENT.md (Original)
│   ├── PRODUCTION_ARCHITECTURE.md (Original)
│   └── DOCUMENTATION_INDEX.md (This file)
│
├── 🐳 DOCKER & CONFIG
│   ├── Dockerfile
│   ├── docker-compose.staging.yml
│   ├── docker-compose.prod.yml ⭐ (NEW)
│   └── .env.example (Updated)
│
├── 📚 PYTHON SCRIPTS
│   ├── scripts/
│   │   ├── view_reviews.py ⭐ (NEW - View reviews)
│   │   ├── init_db.py ⭐ (NEW - DB management)
│   │   ├── setup_wizard.py ⭐ (NEW - Setup)
│   │   └── ...existing scripts
│   │
│   ├── dashboard/
│   │   └── app.py (Updated with export feature)
│   │
│   └── src/
│       ├── review_store.py (Data access layer)
│       └── settings.py (Configuration)
│
├── 📦 MODELS & DATA
│   ├── models/ (Saved ML models)
│   ├── data/ (Datasets and databases)
│   └── reports/ (Export directory)
│
└── 🧪 TESTS
    └── tests/ (Unit tests)

🚀 Quick Command Reference

Task	Command
Start app (SQLite)	`streamlit run dashboard/app.py`
Start with Docker	`docker-compose -f docker-compose.staging.yml up`
View recent reviews	`python scripts/view_reviews.py`
Export all reviews	`python scripts/view_reviews.py --all`
Show statistics	`python scripts/view_reviews.py --stats`
Export predictions	`python scripts/view_reviews.py --predictions`
Check DB health	`python scripts/init_db.py health`
Setup database	`python scripts/init_db.py setup`
Interactive setup	`python scripts/setup_wizard.py`
Help on any script	`python script.py --help`

🔍 Key Concepts

Database Options

SQLite - Local development, no setup
PostgreSQL (Docker) - Local testing, production-like
PostgreSQL (Managed) - Production deployment

User Data Captured

Reviews - User feedback and ratings
Predictions - Forecast events and results
User Hash - Anonymized user identifier (SHA256)

Data Access Methods

Streamlit dashboard UI
Command-line scripts
Python code with pandas/sqlalchemy
Direct SQL queries

Deployment Options

Local development (SQLite)
Local Docker (PostgreSQL)
Cloud platforms (Neon, Supabase, Railway, Render)
Self-hosted (VM, Kubernetes)

🤔 FAQ

Q: Where do I start?

A: Read QUICK_START.md first (5 minutes)

Q: How do I access user reviews?

A: See ACCESS_USER_DATA.md - 4 different methods

Q: Should I use SQLite or PostgreSQL?

A: SQLite for development, PostgreSQL for production. See DOCKER_POSTGRES_GUIDE.md Part 2

Q: How do I deploy to production?

A: See DEPLOYMENT.md and DOCKER_POSTGRES_GUIDE.md Part 4

Q: Is user data private?

A: Yes! Users are anonymized with SHA256 hashes. See ACCESS_USER_DATA.md - Data Privacy section

Q: Can I use Power BI or Tableau?

A: Yes! See ACCESS_USER_DATA.md - Connecting BI Tools section

Q: What if docker doesn't work?

A: See QUICK_START.md - Troubleshooting section

📞 Support Resources

Topic	Location
Getting started	QUICK_START.md
Docker setup	DOCKER_POSTGRES_GUIDE.md
Data access	ACCESS_USER_DATA.md
Architecture	ARCHITECTURE_DIAGRAMS.md
Deployment	DEPLOYMENT.md
Production design	PRODUCTION_ARCHITECTURE.md
Code reference	Check docstrings in `src/review_store.py`

✅ What's New (Summary)

Documentation Created

✅ INTEGRATION_SUMMARY.md - Overview
✅ DOCKER_POSTGRES_GUIDE.md - Complete Docker & PostgreSQL guide
✅ ACCESS_USER_DATA.md - 4 ways to access user data
✅ QUICK_START.md - Quick reference
✅ ARCHITECTURE_DIAGRAMS.md - Visual diagrams
✅ DOCUMENTATION_INDEX.md - This file

Scripts Created

✅ scripts/view_reviews.py - View and export reviews
✅ scripts/init_db.py - Database management
✅ scripts/setup_wizard.py - Interactive setup

Docker Files

✅ docker-compose.prod.yml - Production setup with pgAdmin
✅ .env.example - Updated with all options

Dashboard Updates

✅ Export CSV button in Reviews tab
✅ Better review viewing experience

🎁 You Now Have

✅ SQLite - Works out of the box (local development)
✅ Docker - Pre-configured for PostgreSQL testing
✅ PostgreSQL - Ready for production deployment
✅ Managed Databases - Guide for Neon, Supabase, Railway, Render
✅ User Reviews - Automated capture in database
✅ Prediction Logs - Track all forecast events
✅ Data Export - Multiple ways to access data
✅ CLI Tools - Scripts for database management
✅ Documentation - Complete guides and examples
✅ Diagrams - Visual system architecture

🚀 Next Steps

Read QUICK_START.md (5 min)
Run streamlit run dashboard/app.py
Try python scripts/view_reviews.py --help
Choose your database (SQLite dev vs PostgreSQL prod)
Read DOCKER_POSTGRES_GUIDE.md for your choice
Deploy when ready!

Created with 💙 to help you integrate Docker, PostgreSQL, and user data management!

Last Updated: June 10, 2026

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