ci: add automated testing suite for python and laravel

Author: Swapin Vidya

.github/workflows/ci.yml

@@ -0,0 +1,45 @@
+name: CI Suite - Edge Quantizer
+
+on:
+  push:
+    branches: [ main ]
+  pull_request:
+    branches: [ main ]
+
+jobs:
+  test-python-core:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - name: Set up Python 3.13
+        uses: actions/setup-python@v5
+        with:
+          python-version: "3.13"
+      - name: Install dependencies
+        run: |
+          cd core_quantizer
+          python -m pip install --upgrade pip
+          pip install -r requirements.txt
+      - name: Run Test Suite
+        run: |
+          cd core_quantizer
+          python -m pytest
+
+  test-laravel-gateway:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - name: Setup PHP
+        uses: shivammathur/setup-php@v2
+        with:
+          php-version: '8.3'
+          extensions: mbstring, dom, fileinfo, sqlite, gd
+      - name: Install Composer Dependencies
+        run: |
+          cd api_gateway
+          composer install --no-dev --no-scripts --prefer-dist
+      - name: Initialize Database
+        run: |
+          cd api_gateway
+          touch database/database.sqlite
+          php artisan migrate --force

CITATION.cff

@@ -7,7 +7,7 @@ authors:
 title: "BioGraph-Edge-Quantizer: Resource-Aware GNN Quantization for Clinical Edge Intelligence"
 version: 1.0.0
 date-released: 2026-05-02
-url: "https://github.com/[your-username]/BioGraph-Edge-Quantizer"
+url: "https://github.com/swapins/BioGraph-Edge-Quantizer"
 keywords:
   - "Graph Neural Networks"
   - "Model Quantization"

README.md

@@ -66,6 +66,26 @@ query {
 }
 ```
 
+## ⚡ Quick Use (Inference Demo)
+
+If you have already initialized the environments, run the full pipeline with these two commands:
+
+**Step 1: Quantize & Validate Model**
+```bash
+# From root
+cd core_quantizer && python -m src.quantizer && python -m pytest
+```
+**Step 2: Query FHIR API**
+```bash
+# Start server in one terminal
+cd api_gateway && php artisan serve
+
+# Run this curl in another to get the FHIR DiagnosticReport
+curl -X POST http://localhost:8000/graphql \
+     -H "Content-Type: application/json" \
+     -d '{"query": "query { diagnosticReport(patientId: \"SW-1985\") { aiInferenceScore edgeModelVersion } }"}'
+```
+
 ## Implementation Rationale
 *   **Resource Efficiency:** Implements INT8 quantization to bridge the gap between heavy GNN research and edge-native execution.
 *   **Interoperability:** Maps raw AI scores to **FHIR** `DiagnosticReport` resources for seamless clinical integration.
@@ -77,4 +97,4 @@ query {
 *   **`CITATION.cff`**: Academic and professional attribution.
 *   **`CONTRIBUTING.md`**: Architectural and coding standards for open-source contributors.
 
----
+