montreal-aqi-api 0.4.1

CLI and Python API to fetch air quality index (AQI) data from the Montreal open data portal

AQI monitoring for the city of Montréal (Québec, Canada)

A Python library and CLI tool to fetch, process, and expose air quality index (AQI) data from the City of Montréal open data platform.

The project is designed to be:

• scriptable (JSON output by default)
• embeddable as a Python library
• suitable for automation (Home Assistant, cron jobs, data pipelines)

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Features

• Fetches the latest air quality data from Montréal’s open data portal
• Lists currently active air quality monitoring stations
• Computes the AQI based on RSQA methodology
• Estimates pollutant concentrations from reported AQI contributions¹
• Exposes structured station and pollutant data via Python models
• Outputs machine-readable JSON from the CLI
• Structured logging with optional debug mode
• Test suite covering core logic, JSON contract, and CLI behavior

¹ Estimated concentrations are derived from rounded AQI values and should be treated as approximations.

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Requirements

• Python 3.11 or newer
• requests

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Installation

From PyPI (recommended)

pip install montreal-aqi-api

From source

git clone https://github.com/normcyr/montreal-aqi-api.git
cd montreal-aqi-api
python3 -m venv venv
source venv/bin/activate
pip install .

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CLI Usage

The CLI always outputs JSON on stdout. Logs and diagnostics are written to stderr.

Fetch AQI for a specific station

montreal-aqi --station <station_id>

List available monitoring stations

montreal-aqi --list

Enable debug logging

montreal-aqi --station <station_id> --debug

Print the JSON in a pretty format

montreal-aqi --station <station_id> --pretty

or

montreal-aqi --list --pretty

No arguments

If no arguments are provided, the CLI returns a JSON error payload. Interactive prompts are intentionally avoided to keep behavior predictable in automated environments.

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Integrations

This library is designed to be consumed by automated systems and integrations.

Home Assistant

Used by the custom Home Assistant integration:

• https://github.com/normcyr/home-assistant-montreal-aqi

Other Use Cases

• Cron jobs
• Data ingestion pipelines
• Monitoring dashboards
• Research / environmental analysis

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JSON Contract — Version 1 (Frozen)

As of v0.4.0, the JSON output contract is explicitly versioned and frozen. The output format is formally specified in: docs/json_contract_v1.md.

The JSON output is governed by the official JSON Schema v1 and all payloads include:

{
  "version": 1,
  "type": "..."
}

Error Payload

{
  "version": 1,
  "type": "error",
  "error": {
    "code": "NO_DATA",
    "message": "No data available for this station"
  }
}

Stations List Payload

{
  "version": 1,
  "type": "stations",
  "stations": [
    {
      "station_id": "3",
      "name": "Saint-Jean-Baptiste",
      "borough": "Rivière-des-Prairies"
    }
  ]
}

Station AQI Payload

{
  "version": 1,
  "type": "station",
  "station_id": "80",
  "date": "2025-08-08",
  "hour": 10,
  "aqi": 49,
  "dominant_pollutant": "PM2.5",
  "pollutants": {
    "PM2.5": {
      "name": "PM2.5",
      "aqi": 49,
      "concentration": 34.3
    },
    "O3": {
      "name": "O3",
      "aqi": 22,
      "concentration": 70.4
    }
  }
}

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Python Usage

from montreal_aqi_api.service import get_station_aqi

station = get_station_aqi("80")
if station:
    print(station.to_dict())

Domain objects (Station, Pollutant) expose explicit serialization helpers to ease downstream usage.

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AQI Methodology

AQI values follow the methodology defined by the Réseau de surveillance de la qualité de l’air (RSQA).

Reference Values

Pollutant	Full Name	Reference
SO₂	Sulfur Dioxide	500 µg/m³
CO	Carbon Monoxide	35 mg/m³
O₃	Ozone	160 µg/m³
NO₂	Nitrogen Dioxide	400 µg/m³
PM2.5	Particulate Matter	35 µg/m³

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Project Status

• JSON contract v1 frozen and validated by tests
• Suitable for automation and integration
• API stability guaranteed within v1

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Contributing

Contributions are welcome.

Please ensure that:

• tests pass (pytest)
• the JSON contract remains backward compatible
• any change affecting output is covered by tests

Open an issue before proposing breaking changes.

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Data Source

Data is retrieved from the Ville de Montréal Open Data Portal.

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License

This project is licensed under the MIT License.