airfrance-afkl

name	airfrance-afkl
description	Track Air France flights using the Air France–KLM Open Data APIs (Flight Status). Use when the user gives a flight number/date (e.g., AF007 on 2026-01-29) and wants monitoring, alerts (delay/gate/aircraft changes), or analysis (previous-flight chain, aircraft tail number → cabin recency / Wi‑Fi). Also use when setting up or tuning polling schedules within API rate limits.

Air France (AFKL Open Data) flight tracker

Quick start (one-off status)

1. Create an API key (and optional secret)

• Register on: https://developer.airfranceklm.com
• Subscribe to the Open Data product(s) you need (at least Flight Status API)
• Generate credentials (API key; some accounts also provide an API secret)

2. Provide API credentials (do not print them):

• Preferred: env vars AFKL_API_KEY (and optional AFKL_API_SECRET)
• Or files in your state dir (CLAWDBOT_STATE_DIR or ./state):
  • afkl_api_key.txt (chmod 600)
  • afkl_api_secret.txt (chmod 600, optional)

2. Query flight status:

• Run: node skills/airfrance-afkl/scripts/afkl_flightstatus_query.mjs --carrier AF --flight 7 --origin JFK --dep-date 2026-01-29

Notes:

• Send Accept: */* (API returns application/hal+json).
• Keep within limits: <= 1 request/sec. When making multiple calls, sleep ~1100ms between them.

Start monitoring (watcher)

Use when the user wants proactive updates.

• Run: node skills/airfrance-afkl/scripts/afkl_watch_flight.mjs --carrier AF --flight 7 --origin JFK --dep-date 2026-01-29

What it does:

• Fetches the operational flight(s) for the date window.
• Emits a single message only when something meaningful changes.
• Also follows the previous-flight chain (flightRelations.previousFlightData.id) up to a configurable depth and alerts if a previous segment is delayed/cancelled.

Polling strategy (default):

• 36h before departure: at most every 60 min

• 36h→12h: every 30 min
• 12h→3h: every 15 min
• 3h→departure: every 5–10 min (stay under daily quota)
• After departure: every 30 min until arrival

Implementation detail: run cron every 5–15 min, but the script self-throttles using a state file so it won’t hit the API when it’s not time. The watcher prints no output when nothing changed (so cron jobs can send only when stdout is non-empty).

Input shorthand

Preferred user-facing format:

• AF7 demain / AF7 jeudi

Interpretation rule:

• The day always refers to the departure date (not arrival).

Implementation notes:

• Convert relative day words to a departure date in the user’s timezone unless the origin timezone is explicitly known.
• When ambiguous (long-haul crossing midnight), prefer the departure local date at the origin if origin is known.

(For scripts, still pass --origin + --dep-date YYYY-MM-DD.)

Interpret “interesting” fields

See references/fields.md for:

• flightRelations (prev/next)
• places.* (terminal/gate/check-in zone)
• times.* (scheduled/estimated/latest/actual)
• aircraft (type, registration)
• “parking position” / stand-type hints (when present)
• Wi‑Fi hints and how to reason about cabin recency

Cabin recency / upgrade heuristics

When aircraft registration is available:

• Use tail number to infer sub-fleet and likely cabin generation.
• If data suggests older config (or no Wi‑Fi), upgrading can be more/less worth it.

Be conservative:

• Open Data often doesn’t expose exact seat model; treat this as best-effort.