pyfeuxdeforet-fr 0.3.0

Async Python client for the feuxdeforet.fr unofficial API

pyfeuxdeforet-fr

pyfeuxdeforet-fr is an unofficial async Python client for JSON data exposed by feuxdeforet.fr.

The package is intentionally small and close to the site payloads. It is meant to provide reusable transport and typed convenience models for future projects, including a possible Home Assistant / HACS integration, without baking Home Assistant entity decisions into the library.

Features

• Async API client built for aiohttp.
• Fetch French regions and departments from /api/regions.
• Fetch national counters and vigilance/risk totals from /api/stats.
• Fetch homepage news summaries from /api/home.
• Fetch raw cartography GeoJSON from /fdf/cartographie/geojson.
• Bootstraps the cartography proxy from /cartes/feux/, including its dynamic nonce and cookies.
• Normalizes Point, MultiPoint, Polygon, MultiPolygon, and GeometryCollection feature geometries.
• Raw payload helpers are available for integrations that need fields not yet modeled.
• Typed package (py.typed) for downstream users.

Installation

pip install pyfeuxdeforet-fr

Quick start

import asyncio

from aiohttp import ClientSession
from pyfeuxdeforet_fr import FeuxDeForetClient


async def main() -> None:
    async with ClientSession() as session:
        client = FeuxDeForetClient(session=session)

        regions = await client.get_regions()
        stats = await client.get_stats()
        home = await client.get_home()
        geojson = await client.get_geojson(
            last_update="2026-07-05T00:11:12+02:00",
        )

        print(f"Regions: {len(regions or [])}")
        print(f"Stats: {stats}")
        print(f"Latest article: {home.articles[0].title if home and home.articles else None}")
        print(f"GeoJSON type: {geojson.get('type') if geojson else None}")


asyncio.run(main())

API overview

FeuxDeForetClient(session, base_url="https://feuxdeforet.fr")

Create a client using an injected aiohttp.ClientSession.

The caller owns the session lifecycle. This keeps the library suitable for applications that already manage connection pooling, such as Home Assistant.

get_regions() / get_regions_payload()

Return normalized Region objects, or the raw /api/regions payload.

Each Region contains Department entries from the source depts field.

get_stats() / get_stats_payload()

Return normalized Stats, or the raw /api/stats payload.

Known fields include published fire counts over several periods and aggregated risk-zone counters.

get_home() / get_home_payload()

Return normalized homepage article summaries, or the raw /api/home payload.

The raw payload is also kept on HomeData.raw because the homepage response may grow with sections that are not yet modeled.

get_geojson(scope="web", last_update=None, nonce=None, headers=None)

Return the raw cartography GeoJSON payload.

By default, each call first loads /cartes/feux/, extracts window.fdfBridge.proxyNonce, retains any response cookies, then reproduces the frontend proxy request with:

X-FDF-Nonce: <dynamic proxyNonce>
Referer: https://feuxdeforet.fr/cartes/feux/

last_update accepts either a datetime or an already formatted string. A manual nonce and extra headers remain available for diagnostics. The legacy nonce="0" value now enables automatic discovery instead of sending zero. The automatic proxy context is cached for 30 minutes, retried on transient HTML failures, and refreshed once when the GeoJSON proxy rejects a request.

extract_feature_geometries(feature)

Return a GeoJsonGeometry containing the first usable (longitude, latitude) point and every normalized polygon carried by a feature. This keeps complex GeometryCollection fires usable by map clients while preserving their perimeters for consumers that can render GeoJSON polygons.

Known limitations

• This is an unofficial client and is not affiliated with feuxdeforet.fr.
• The API is not publicly documented and may change without notice.
• The HTML bootstrap format is private frontend behavior and may change without notice.
• Most endpoints are intentionally exposed through raw helpers as well as typed models.

Development

For contributors:

python -m pip install -r requirements_dev.txt
pytest -q --cov
mypy pyfeuxdeforet_fr
python -m build

Demo script

Run the full feature demo with:

python examples/demo.py

It exercises raw payload helpers, normalized models, and the GeoJSON endpoint. The GeoJSON call accepts overrides while reverse engineering continues:

python examples/demo.py --last-update "2026-07-05T00:11:12+02:00"

License

Apache-2.0