Merge conflict resolved

project/README.md

@@ -0,0 +1,70 @@
+# PSE2 - Pitchbook Extraction Webapplication
+
+A microservices platform for processing pitchbook PDFs using OCR and entity extraction services. Combines SpaCy NLP and GPT-based (ExxetaGPT) extraction of kpi in Pitchbooks.
+
+```
+## Quick Start
+
+### 1. Environment Setup
+Create a `.env` file in the project root:
+
+# Database
+DATABASE_URL=url
+POSTGRES_USER=admin
+POSTGRES_PASSWORD=password
+
+# API Key (required for ExxetaGPT service)
+API_KEY=your_exxeta_jwt_token_here
+```
+
+### 2. Start Application
+```bash
+# Build and start all services
+docker-compose up --build
+
+# Run in background
+docker-compose up --build -d
+
+# Stop services
+docker-compose down
+```
+
+### 3. Access Application
+- **Frontend:** http://localhost:8080
+- **API:** http://localhost:5050
+
+## Services Overview
+
+| Service | Port | Purpose |
+|---------|------|---------|
+| **Frontend** | 8080 | React UI for file upload and results display |
+| **Coordinator** | 5050 | Main API, file storage, database management |
+| **OCR** | 5051 | PDF text extraction using OCRmyPDF |
+| **ExxetaGPT** | 5053 | AI entity extraction using GPT-4o-mini |
+| **SpaCy** | 5052 | NLP entity extraction using custom model |
+| **Validate** | 5054 | Merges and validates results from both extractors |
+| **Database** | 5432 | PostgreSQL for data persistence |
+
+## Usage Flow
+
+1. Upload PDF via web interface
+2. OCR service extracts text from PDF
+3. Both ExxetaGPT and SpaCy services extract kpi's entities
+4. Validate service merges and validates results
+5. View extracted kpi's and original PDF side-by-side
+
+## Troubleshooting
+
+**Services won't start:**
+```bash
+# Check logs
+docker-compose logs
+```
+
+**ExxetaGPT errors:**
+- Ensure `API_KEY` is set in `.env` file
+- Check API key validity and network access
+
+**Database connection issues:**
+- Wait for database health check to pass
+- Verify `DATABASE_URL` format in `.env`

project/backend/exxetaGPT-service/Readme.md

@@ -1,41 +0,0 @@
-# ExxetaGPT Microservice
-
-## Lokaler Start (ohne Container)
-
-### 1. Voraussetzungen
-
-- Python 3.11+
-- Virtuelle Umgebung (empfohlen)
-
-```bash
-python -m venv venv
-source venv/bin/activate
-pip install -r requirements.txt
-```
-
-### 2. .env Datei erstellen
-Leg eine .env Datei im Projektverzeichnis mit der Exxeta API-Key an
-
-(Der API Key ist ein JWT von Exxeta – nicht veröffentlichen!)
-
-### 3. Starten
-python app.py
-
-## Verwendung als Docker-Container
-
-### 1. Build
-```bash
-docker build -t exxeta-gpt .
-```
-
-### 2. Starten
-```bash
-docker run -p 5050:5050 --env-file .env exxeta-gpt
-```
-
-## Beispielaufruf:
-```bash
-curl -X POST http://localhost:5050/extract \
-  -H "Content-Type: application/json" \
-  -d @text-per-page.json
-```

project/backend/spacy-service/Readme.md

@@ -1,20 +0,0 @@
-# SpaCy Microservice
-
-## Den Service mit in einem Docker-Container starten
-
-### 1. Build
-```bash
-docker build -t spacy-service .
-```
-
-### 2. Starten
-```bash
-docker run -p 5050:5050 spacy-service 
-```
-
-## Beispielaufruf:
-```bash
-curl -X POST http://localhost:5050/extraction \
-  -H "Content-Type: application/json" \
-  -d @text-per-page.json
-```