quantnet-api 1.1.0.post1

Web dashboard and REST API for the Quant-Net quantum networking platform

Quant-Net API

Web dashboard and REST API for the Quant-Net quantum networking platform. Provides real-time monitoring of network agents, experiment management, calibration tracking, and topology visualization through a browser-based interface backed by a FastAPI server.

Prerequisites

Tool	Version	Purpose
Python	≥ 3.10	API server runtime
Node.js	≥ 18	JavaScript bundling (development only)
MongoDB	≥ 6.0	Data persistence (via quantnet-mq)
MQTT Broker	Mosquitto or compatible	Real-time messaging with WebSocket support

Quick Start

# 1. Install Python dependencies
pip install -r requirements.txt

# 2. Install JS build tools and bundle the frontend
npm install
npm run build

# 3. Start the server
python main.py

The dashboard is available at http://localhost:8081.

Configuration

The server reads its configuration from a quantnet.cfg INI file. It searches the following paths in order:

1. ${QUANTNET_HOME}/etc/quantnet.cfg
2. ${VIRTUAL_ENV}/etc/quantnet.cfg
3. /opt/quantnet/etc/quantnet.cfg

If no configuration file is found, the server starts with default values.

Configuration File Format

[mq]
host = 127.0.0.1          # MQTT broker host
port = 1883                # MQTT broker port
ws_host = 127.0.0.1        # MQTT WebSocket host (for browser connections)
ws_port = 8080              # MQTT WebSocket port
mongo_host = 127.0.0.1     # MongoDB host
mongo_port = 27017          # MongoDB port
rpc_server_topic = ...     # RPC server topic (optional)
rpc_client_topic = ...     # RPC client topic (optional)
path = ...                 # MQTT path prefix (optional)

[main]
request_types = spgRequest,egpRequest,bsmRequest   # Known experiment request types

[schemas]
path = /path/to/schemas    # JSON schema directory (optional)

Configuration Parameters

Section	Key	Default	Description
mq	host	127.0.0.1	MQTT broker hostname
mq	port	1883	MQTT broker port
mq	ws_host	127.0.0.1	WebSocket host for browser MQTT connections
mq	ws_port	8080	WebSocket port for browser MQTT connections
mq	mongo_host	127.0.0.1	MongoDB hostname
mq	mongo_port	27017	MongoDB port
mq	rpc_server_topic	—	AMQP/MQTT topic for RPC server
mq	rpc_client_topic	—	AMQP/MQTT topic for RPC client
mq	path	—	MQTT path prefix
main	request_types	spgRequest, egpRequest, bsmRequest	Comma-separated list of known experiment request types
schemas	path	—	Path to JSON schema files for validation

Server Options

python main.py [--host HOST] [--port PORT]

Flag	Default	Description
--host	0.0.0.0	Network interface to bind
--port	8081	HTTP port for the dashboard and API

The server runs with auto-reload enabled by default (via uvicorn).

JavaScript Build

The frontend is bundled with esbuild from ES module source files into a single minified bundle.

Build Commands

npm run build    # Production build — minified with source map
npm run watch    # Development — auto-rebuild on file changes

Build Output

static/js/dist/bundle.min.js        # Minified application bundle (~57kb)
static/js/dist/bundle.min.js.map    # Source map for debugging

Important: The JS bundle must be built before starting the server. The static/js/dist/ directory is git-ignored, so npm run build must be run after cloning the repository.

Source Structure

static/js/
├── main.js                          # esbuild entry point
├── app.js                           # App bootstrap class
├── core/
│   ├── EventBus.js                  # Pub/sub event system
│   ├── ApiClient.js                 # REST API client
│   └── MqttClient.js               # MQTT WebSocket client
├── utils/
│   └── formatters.js                # UI helpers and HTML formatters
├── models/
│   ├── AgentStore.js                # Agent state management
│   ├── CalibrationStore.js          # Calibration data store
│   └── ExperimentStore.js           # Experiment data store
├── components/
│   ├── AgentTable.js                # Agent table with heartbeat tracking
│   ├── CalibrationTable.js          # Calibration results table
│   ├── ExperimentTable.js           # Experiment results table
│   ├── DebugPanel.js                # MQTT message debug panel
│   ├── TopologyGraph.js             # vis.js network topology
│   ├── modals/
│   │   ├── AgentModal.js            # Agent details and calibration viewer
│   │   ├── CalibrationDetailsModal.js
│   │   ├── CalibrationFormModal.js   # Calibration submission form
│   │   ├── EgpModal.js              # Entanglement generation form
│   │   ├── ExperimentModal.js       # Experiment details viewer
│   │   ├── PingModal.js             # Agent ping form
│   │   └── SpgModal.js              # Single photon / BSM experiment form
│   └── charts/
│       ├── BsmChart.js              # BSM tracking scatter chart
│       ├── CalibrationChart.js      # Per-task calibration charts
│       ├── DataChart.js             # Time-series data chart
│       ├── HistogramChart.js        # Normal distribution histogram
│       ├── HomChart.js              # HOM coincidence chart
│       ├── PolTrackingChart.js      # Polarization tracking chart
│       └── TimeTaggerChart.js       # Wavepacket and collection rate charts
└── (vendor libs)                    # bootstrap, chart.js, vis-network, paho-mqtt

REST API

The API is mounted at /api and documented via OpenAPI. When the server is running, interactive docs are available at:

• Swagger UI: http://localhost:8081/docs
• ReDoc: http://localhost:8081/redoc

Key Endpoints

Method	Path	Description
GET	/api/node	List all agents or get a specific agent by ID
GET	/api/topology	Get the network topology graph
POST	/api/pingpong	Send ping requests to remote agents
POST	/api/calibrate	Start a calibration process
GET	/api/calibration	Get calibration results
GET	/api/experiments	List experiments with optional filters
GET	/api/tasks	Get agent task results
POST	/api/bsm	Start a BSM experiment
POST	/api/spg	Start single photon generation
POST	/api/egp	Start entanglement generation

Authentication

The dashboard supports optional cookie-based authentication via fastapi-login. Default credentials:

Username	Password
admin	admin

• / — Public dashboard (no login required)
• /private — Authenticated dashboard
• /login — POST login form
• /logout — Clear session

Docker

DOCKER_BUILDKIT=1 docker build \
  --secret id=GH_TOKEN,src=<(echo $GH_TOKEN) \
  -f docker/Dockerfile .

The Docker image clones the required private repositories (quant-net-mq, quant-net-plugins, quant-net-server) during build using a GitHub token. The container runs python main.py as its entrypoint.

Environment Variables

Variable	Description
QUANTNET_HOME	Base directory for configuration files
QUANTNET_ENTRYPOINT_DELAY	Seconds to wait before starting (for dependency readiness)
QUANTNET_ENTRYPOINT_QUIET_LOGS	Suppress entrypoint log messages

License

See LICENSE and COPYRIGHT.