add prod/dev configurations

CLAUDE.md

@@ -21,8 +21,23 @@ uv sync
 
 **Run the application:**
 
+Development mode (with auto-reload):
 ```bash
-uv run python main.py
+uv run run_dev.py
+```
+
+Production mode (with Gunicorn WSGI server):
+```bash
+# First install production dependencies
+uv sync --extra prod
+
+# Then run in production mode
+uv run run_prod.py
+```
+
+Legacy mode (basic Dash server):
+```bash
+uv run main.py
 ```
 
 The app will be available at http://127.0.0.1:8050

Dockerfile

@@ -21,11 +21,13 @@ COPY pyproject.toml uv.lock ./
 # Copy source code (needed for editable install)
 COPY src/ src/
 COPY main.py .
+COPY wsgi.py .
+COPY run_prod.py .
 COPY assets/ assets/
 
-# Create virtual environment and install dependencies
+# Create virtual environment and install dependencies (including production extras)
 RUN uv venv .venv
-RUN uv sync --frozen 
+RUN uv sync --frozen --extra prod 
 
 # Stage 2: Runtime
 FROM python:3.11-slim as runtime
@@ -45,6 +47,8 @@ COPY --from=builder /app/.venv /app/.venv
 COPY --from=builder /app/src /app/src
 COPY --from=builder /app/main.py /app/main.py
 COPY --from=builder /app/assets /app/assets
+COPY --from=builder /app/wsgi.py /app/wsgi.py
+COPY --from=builder /app/run_prod.py /app/run_prod.py
 
 # Make sure the virtual environment is in PATH
 ENV PATH="/app/.venv/bin:$PATH"
@@ -55,7 +59,8 @@ ENV PYTHONPATH="/app/src:$PYTHONPATH"
 # Environment variables for production
 ENV EMBEDDINGBUDDY_HOST=0.0.0.0
 ENV EMBEDDINGBUDDY_PORT=8050
-ENV EMBEDDINGBUDDY_DEBUG=False
+ENV EMBEDDINGBUDDY_DEBUG=false
+ENV EMBEDDINGBUDDY_ENV=production
 
 # Expose port
 EXPOSE 8050
@@ -64,5 +69,5 @@ EXPOSE 8050
 HEALTHCHECK --interval=30s --timeout=10s --start-period=30s --retries=3 \
     CMD python -c "import requests; requests.get('http://localhost:8050/', timeout=5)" || exit 1
 
-# Run application
+# Run application with Gunicorn in production
-CMD ["python", "main.py"]
+CMD ["python", "run_prod.py"]

README.md

@@ -12,7 +12,7 @@ EmbeddingBuddy provides an intuitive web interface for analyzing high-dimensiona
 embedding vectors by applying various dimensionality reduction algorithms and
 visualizing the results in interactive 2D and 3D plots. The application features
 a clean, modular architecture that makes it easy to test, maintain, and extend
-with new features. It supports dual dataset visualization, allowing you to compare 
+with new features. It supports dual dataset visualization, allowing you to compare
 documents and prompts to understand how queries relate to your content.
 
 ## Features
@@ -73,17 +73,77 @@ uv sync
 
 2. **Run the application:**
 
+**Development mode** (with auto-reload):
+
 ```bash
-uv run python main.py
+uv run run_dev.py
 ```
 
-3. **Open your browser** to http://127.0.0.1:8050
+**Production mode** (with Gunicorn WSGI server):
+
+```bash
+# Install production dependencies
+uv sync --extra prod
+
+# Run in production mode
+uv run run_prod.py
+```
+
+**Legacy mode** (basic Dash server):
+
+```bash
+uv run main.py
+```
+
+3. **Open your browser** to <http://127.0.0.1:8050>
 
 4. **Test with sample data**:
    - Upload `sample_data.ndjson` (documents)
    - Upload `sample_prompts.ndjson` (prompts) to see dual visualization
    - Use the "Show prompts" toggle to compare how prompts relate to documents
 
+## Docker
+
+You can also run EmbeddingBuddy using Docker:
+
+### Basic Usage
+
+```bash
+# Run in the background
+docker compose up -d
+```
+
+The application will be available at <http://127.0.0.1:8050>
+
+### With OpenSearch
+
+To run with OpenSearch for enhanced search capabilities:
+
+```bash
+# Run in the background with OpenSearch
+docker compose --profile opensearch up -d
+```
+
+This will start both the EmbeddingBuddy application and an OpenSearch instance.
+OpenSearch will be available at <http://127.0.0.1:9200>
+
+### Docker Commands
+
+```bash
+# Stop all services
+docker compose down
+
+# Stop and remove volumes
+docker compose down -v
+
+# View logs
+docker compose logs embeddingbuddy
+docker compose logs opensearch
+
+# Rebuild containers
+docker compose build
+```
+
 ## Development
 
 ### Project Structure

docker-compose.yml

@@ -1,6 +1,6 @@
 services:
   opensearch:
-    image: opensearchproject/opensearch:2.13.0
+    image: opensearchproject/opensearch:2
     container_name: embeddingbuddy-opensearch
     profiles:
       - opensearch

pyproject.toml

@@ -12,7 +12,6 @@ dependencies = [
     "scikit-learn>=1.3.2",
     "dash-bootstrap-components>=1.5.0",
     "umap-learn>=0.5.8",
-    "numba>=0.56.4",
     "openTSNE>=1.0.0",
     "mypy>=1.17.1",
     "opensearch-py>=3.0.0",
@@ -32,11 +31,14 @@ security = [
     "safety>=2.3.0",
     "pip-audit>=2.6.0",
 ]
+prod = [
+    "gunicorn>=21.2.0",
+]
 dev = [
     "embeddingbuddy[test,lint,security]",
 ]
 all = [
-    "embeddingbuddy[test,lint,security]",
+    "embeddingbuddy[test,lint,security,prod]",
 ]
 
 [build-system]

run_dev.py

@@ -0,0 +1,26 @@
+#!/usr/bin/env python3
+"""
+Development runner with auto-reload enabled.
+This runs the Dash development server with hot reloading.
+"""
+import os
+from src.embeddingbuddy.app import create_app, run_app
+
+def main():
+    """Run the application in development mode with auto-reload."""
+    # Force development settings
+    os.environ["EMBEDDINGBUDDY_ENV"] = "development"
+    os.environ["EMBEDDINGBUDDY_DEBUG"] = "true"
+    
+    print("🚀 Starting EmbeddingBuddy in development mode...")
+    print("📁 Auto-reload enabled - changes will trigger restart")
+    print("🌐 Server will be available at http://127.0.0.1:8050")
+    print("⏹️  Press Ctrl+C to stop")
+    
+    app = create_app()
+    
+    # Run with development server (includes auto-reload when debug=True)
+    run_app(app, debug=True)
+
+if __name__ == "__main__":
+    main()

run_prod.py

@@ -0,0 +1,49 @@
+#!/usr/bin/env python3
+"""
+Production runner using Gunicorn WSGI server.
+This provides better performance and stability for production deployments.
+"""
+import os
+import subprocess
+import sys
+from src.embeddingbuddy.config.settings import AppSettings
+
+def main():
+    """Run the application in production mode with Gunicorn."""
+    # Force production settings
+    os.environ["EMBEDDINGBUDDY_ENV"] = "production"
+    os.environ["EMBEDDINGBUDDY_DEBUG"] = "false"
+    
+    print("🚀 Starting EmbeddingBuddy in production mode...")
+    print(f"⚙️  Workers: {AppSettings.GUNICORN_WORKERS}")
+    print(f"🌐 Server will be available at http://{AppSettings.GUNICORN_BIND}")
+    print("⏹️  Press Ctrl+C to stop")
+    
+    # Gunicorn command
+    cmd = [
+        "gunicorn",
+        "--workers", str(AppSettings.GUNICORN_WORKERS),
+        "--bind", AppSettings.GUNICORN_BIND,
+        "--timeout", str(AppSettings.GUNICORN_TIMEOUT),
+        "--keepalive", str(AppSettings.GUNICORN_KEEPALIVE),
+        "--access-logfile", "-",
+        "--error-logfile", "-",
+        "--log-level", "info",
+        "wsgi:application"
+    ]
+    
+    try:
+        subprocess.run(cmd, check=True)
+    except KeyboardInterrupt:
+        print("\n🛑 Shutting down...")
+        sys.exit(0)
+    except subprocess.CalledProcessError as e:
+        print(f"❌ Error running Gunicorn: {e}")
+        sys.exit(1)
+    except FileNotFoundError:
+        print("❌ Gunicorn not found. Install it with: uv add gunicorn")
+        print("💡 Or run in development mode with: python run_dev.py")
+        sys.exit(1)
+
+if __name__ == "__main__":
+    main()

src/embeddingbuddy/config/settings.py

@@ -72,6 +72,15 @@ class AppSettings:
     DEBUG = os.getenv("EMBEDDINGBUDDY_DEBUG", "True").lower() == "true"
     HOST = os.getenv("EMBEDDINGBUDDY_HOST", "127.0.0.1")
     PORT = int(os.getenv("EMBEDDINGBUDDY_PORT", "8050"))
+    
+    # Environment Configuration
+    ENVIRONMENT = os.getenv("EMBEDDINGBUDDY_ENV", "development")  # development, production
+    
+    # WSGI Server Configuration (for production)
+    GUNICORN_WORKERS = int(os.getenv("GUNICORN_WORKERS", "4"))
+    GUNICORN_BIND = os.getenv("GUNICORN_BIND", f"{HOST}:{PORT}")
+    GUNICORN_TIMEOUT = int(os.getenv("GUNICORN_TIMEOUT", "120"))
+    GUNICORN_KEEPALIVE = int(os.getenv("GUNICORN_KEEPALIVE", "5"))
 
     # OpenSearch Configuration
     OPENSEARCH_DEFAULT_SIZE = 100

uv.lock

@@ -418,7 +418,6 @@ dependencies = [
     { name = "dash" },
     { name = "dash-bootstrap-components" },
     { name = "mypy" },
-    { name = "numba" },
     { name = "numpy" },
     { name = "opensearch-py" },
     { name = "opentsne" },
@@ -431,6 +430,7 @@ dependencies = [
 [package.optional-dependencies]
 all = [
     { name = "bandit" },
+    { name = "gunicorn" },
     { name = "mypy" },
     { name = "pip-audit" },
     { name = "pytest" },
@@ -451,6 +451,9 @@ lint = [
     { name = "mypy" },
     { name = "ruff" },
 ]
+prod = [
+    { name = "gunicorn" },
+]
 security = [
     { name = "bandit" },
     { name = "pip-audit" },
@@ -466,11 +469,11 @@ requires-dist = [
     { name = "bandit", extras = ["toml"], marker = "extra == 'security'", specifier = ">=1.7.5" },
     { name = "dash", specifier = ">=2.17.1" },
     { name = "dash-bootstrap-components", specifier = ">=1.5.0" },
-    { name = "embeddingbuddy", extras = ["test", "lint", "security"], marker = "extra == 'all'" },
     { name = "embeddingbuddy", extras = ["test", "lint", "security"], marker = "extra == 'dev'" },
+    { name = "embeddingbuddy", extras = ["test", "lint", "security", "prod"], marker = "extra == 'all'" },
+    { name = "gunicorn", marker = "extra == 'prod'", specifier = ">=21.2.0" },
     { name = "mypy", specifier = ">=1.17.1" },
     { name = "mypy", marker = "extra == 'lint'", specifier = ">=1.5.0" },
-    { name = "numba", specifier = ">=0.56.4" },
     { name = "numpy", specifier = ">=1.24.4" },
     { name = "opensearch-py", specifier = ">=3.0.0" },
     { name = "opentsne", specifier = ">=1.0.0" },
@@ -484,7 +487,7 @@ requires-dist = [
     { name = "scikit-learn", specifier = ">=1.3.2" },
     { name = "umap-learn", specifier = ">=0.5.8" },
 ]
-provides-extras = ["test", "lint", "security", "dev", "all"]
+provides-extras = ["test", "lint", "security", "prod", "dev", "all"]
 
 [[package]]
 name = "events"
@@ -520,6 +523,18 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/3d/68/9d4508e893976286d2ead7f8f571314af6c2037af34853a30fd769c02e9d/flask-3.1.1-py3-none-any.whl", hash = "sha256:07aae2bb5eaf77993ef57e357491839f5fd9f4dc281593a81a9e4d79a24f295c", size = 103305, upload-time = "2025-05-13T15:01:15.591Z" },
 ]
 
+[[package]]
+name = "gunicorn"
+version = "23.0.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "packaging" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/34/72/9614c465dc206155d93eff0ca20d42e1e35afc533971379482de953521a4/gunicorn-23.0.0.tar.gz", hash = "sha256:f014447a0101dc57e294f6c18ca6b40227a4c90e9bdb586042628030cba004ec", size = 375031, upload-time = "2024-08-10T20:25:27.378Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/cb/7d/6dac2a6e1eba33ee43f318edbed4ff29151a49b5d37f080aad1e6469bca4/gunicorn-23.0.0-py3-none-any.whl", hash = "sha256:ec400d38950de4dfd418cff8328b2c8faed0edb0d517d3394e457c317908ca4d", size = 85029, upload-time = "2024-08-10T20:25:24.996Z" },
+]
+
 [[package]]
 name = "h11"
 version = "0.16.0"

wsgi.py

@@ -0,0 +1,20 @@
+"""
+WSGI entry point for production deployment.
+Use this with a production WSGI server like Gunicorn.
+"""
+from src.embeddingbuddy.app import create_app
+
+# Create the application instance
+application = create_app()
+
+# For compatibility with different WSGI servers
+app = application
+
+if __name__ == "__main__":
+    # This won't be used in production, but useful for testing
+    from src.embeddingbuddy.config.settings import AppSettings
+    application.run(
+        host=AppSettings.HOST,
+        port=AppSettings.PORT,
+        debug=False
+    )