🇺🇸 us-faa

Country	United States
Registration prefix	N (no dash; N-number, e.g. N62770)
Data source	https://registry.faa.gov/database/ReleasableAircraft.zip
Format	ZIP of pipe-free CSV files (fixed URL; no discovery step)
Run frequency	Weekly (Saturday, 05:10 UTC)
Depends on Mictronics for ICAO hex	No — master.txt (the registration file) publishes the Mode S code hex directly.

How it works

The FAA Releasable Aircraft Database ZIP is downloaded from a fixed URL and extracted entirely in memory; filenames are lowercased, and a .txt.txt double-extension bug the FAA has occasionally shipped is normalized away. Three files are staged into a local SQLite database rather than written straight to Redis, so that per-tail registrations can be joined against reference tables cheaply:

• engine.txt — engine make/model/type/power reference, keyed by engine code
• acftref.txt — aircraft make/model/seats/category reference, keyed by aircraft code
• master.txt — one row per registered tail, keyed by icao_hex (only rows with a well-formed 6-character Mode S hex are kept)

This runner supports the 2017+ column layout only. Numeric FAA type codes (engine type, aircraft type, aircraft class, registrant type) are decoded via lookup tables into human-readable strings. Powerplant power is reported as thrust for jet/fan/ramjet engine types and as horsepower for piston/turboprop/turboshaft/2-4-cycle/rotary types. The final Redis write is driven by a single LEFT JOIN query across the staged tables and flushed to Redis in batches of 10,000. Every written record explicitly sets military: false — this register is exclusively civil, and the explicit value ensures a stale military: true flag (from Mictronics or a prior record on a reused hex) is corrected on re-registration.

Columns

The FAA ZIP contains eight files (ardata.pdf, ACFTREF.txt, ENGINE.txt, DEALER.txt, DOCINDEX.txt, MASTER.txt, RESERVED.txt, DEREG.txt); this runner reads only acftref.txt, engine.txt, and master.txt, joined via the codes below. Column names below are verbatim from each file's real header row.

engine.txt

Source column	Imported	Notes
CODE	✅	Join key to master.txt's engine-code column
MFR	✅	→ aircraft.powerplant.manufacturer
MODEL	✅	→ aircraft.powerplant.model
TYPE	✅	→ aircraft.powerplant.type (decoded)
HORSEPOWER	✅	→ aircraft.powerplant.power_value (piston/turboprop/turboshaft/2-4-cycle/rotary types)
THRUST	✅	→ aircraft.powerplant.power_value (turbo-jet/turbo-fan/ramjet types)

acftref.txt

Source column	Imported	Notes
CODE	✅	Join key to master.txt's aircraft-code column
MFR	✅	→ aircraft.manufacturer
MODEL	✅	→ aircraft.model
TYPE-ACFT	✅	→ aircraft.type (decoded)
TYPE-ENG	✅	→ aircraft.powerplant.type (decoded; used if no matching engine.txt row)
AC-CAT	✅	→ aircraft.category (decoded)
BUILD-CERT-IND	❌	Present in source; not read by this runner
NO-ENG	✅	→ aircraft.powerplant.count
NO-SEATS	✅	→ aircraft.seats
AC-WEIGHT	❌	Present in source; not read by this runner
SPEED	❌	Present in source; not read by this runner
TC-DATA-SHEET	❌	Present in source; not read by this runner
TC-DATA-HOLDER	❌	Present in source; not read by this runner

master.txt

Source column	Imported	Notes
N-NUMBER	✅	→ registration (prefixed with N)
SERIAL NUMBER	✅	→ aircraft.serial_number
MFR MDL CODE	✅	Join key to acftref.txt
ENG MFR MDL	✅	Join key to engine.txt
YEAR MFR	✅	→ aircraft.manufactured_date
TYPE REGISTRANT	✅	→ registrant.type (decoded)
NAME	✅	→ registrant.names[0]
STREET	✅	→ registrant.street
STREET2	✅	→ registrant.street
CITY	✅	→ registrant.city
STATE	✅	→ registrant.administrative_area
ZIP CODE	✅	→ registrant.postal_code
REGION	❌	Present in source; not read by this runner
COUNTY	❌	Present in source; not read by this runner
COUNTRY	✅	→ registrant.country (defaults to US)
LAST ACTION DATE	❌	Present in source; not read by this runner
CERT ISSUE DATE	❌	Present in source; not read by this runner
CERTIFICATION	❌	Present in source; not read by this runner
TYPE AIRCRAFT	❌	Present in source; not read by this runner
TYPE ENGINE	❌	Present in source; not read by this runner
STATUS CODE	❌	Present in source; not read by this runner
MODE S CODE	❌	Present in source; not read by this runner (distinct from MODE S CODE HEX, below, which is used)
FRACT OWNER	❌	Present in source; not read by this runner
AIR WORTH DATE	❌	Present in source; not read by this runner
OTHER NAMES(1-5)	✅	→ registrant.names[1:]
EXPIRATION DATE	❌	Present in source; not read by this runner
UNIQUE ID	❌	Present in source; not read by this runner
KIT MFR	❌	Present in source; not read by this runner
KIT MODEL	❌	Present in source; not read by this runner
MODE S CODE HEX	✅	→ icao_hex; rows without a well-formed 6-character hex are discarded

See specs/data-dictionary.yaml (us-faa entry) for full column semantics and cross-source schema notes.

Example Output

Read back the merged record for a given ICAO hex (combines this runner's data with Mictronics and any other sources that have written to the same key):

docker run --rm --network host redis:latest redis-cli EVAL "$(cat ./shared/lua/merge_aircraft.lua)" 0 A833A4 | python3 -m json.tool --sort-keys --no-ensure-ascii

{
    "aircraft": {
        "category": "Land",
        "manufactured_date": "2008-01-01T00:00:00Z",
        "manufacturer": "CESSNA",
        "manufacturer_model": "CESSNA 172 Skyhawk",
        "model": "172S",
        "powerplant": {
            "count": 1,
            "manufacturer": "LYCOMING",
            "model": "IO-360-L2A",
            "power_type": "Horsepower",
            "power_value": 180,
            "type": "Piston"
        },
        "seats": 4,
        "serial_number": "172S10747",
        "type": "Airplane",
        "type_designator": "C172",
        "wake_turbulence_category": "Light"
    },
    "icao_hex": "A833A4",
    "military": false,
    "registrant": {
        "administrative_area": "FL",
        "city": "WINTER PARK",
        "country": "US",
        "names": [
            "HOG ISLAND FLYING LLC"
        ],
        "postal_code": "327893726",
        "street": [
            "807 W MORSE BLVD STE 101"
        ],
        "type": "LLC"
    },
    "registration": "N62770",
    "source": "us-faa"
}

docker run --rm --network host redis:latest redis-cli EVAL "$(cat ./shared/lua/merge_aircraft.lua)" 0 A8AE7F | python3 -m json.tool --sort-keys --no-ensure-ascii

{
    "aircraft": {
        "category": "Land",
        "manufactured_date": "1990-01-01T00:00:00Z",
        "manufacturer": "BOEING",
        "manufacturer_model": "BOEING 757-200",
        "model": "757-232",
        "powerplant": {
            "count": 2,
            "manufacturer": null,
            "model": null,
            "power_type": null,
            "power_value": null,
            "type": "Turbo-fan"
        },
        "seats": 178,
        "serial_number": "24421",
        "type": "Airplane",
        "type_designator": "B752",
        "wake_turbulence_category": "Medium"
    },
    "icao_hex": "A8AE7F",
    "military": false,
    "registrant": {
        "administrative_area": "GA",
        "city": "ATLANTA",
        "country": "US",
        "names": [
            "DELTA AIR LINES INC"
        ],
        "postal_code": "303543743",
        "street": [
            "1775 M H JACKSON SERVICE RD",
            "DEPT 595 AIRCRAFT REGISTRATIONS"
        ],
        "type": "Corporation"
    },
    "registration": "N659DL",
    "source": "us-faa"
}

Configuration

Reads settings.json (mounted at /app/settings.json):

Parameter	Required	Default	Notes
redis.host	✅	—	Redis connection host
redis.port	❌	6379
mqtt.host	❌	—	Omit the whole mqtt block to skip completion-stats publishing entirely
mqtt.port	❌	1883
mqtt.username	❌	—	Optional MQTT auth; omit for an anonymous broker
mqtt.password	❌	—
redis_ttl_days	❌	14	TTL applied to each aircraft:registry:{icao_hex} key written by this runner

MQTT

Published once, at the end of a run, to SkyFollower/runner/us-faa/statistic/{name} (all retained):

Topic suffix	Value	Format
records_imported	e.g. 271	Integer as string
last_run_at	e.g. 2026-07-07T14:32:01.123456+00:00	ISO 8601 UTC
last_run_status	success or failure	String

Home Assistant autodiscovery configs are also published (retained) to homeassistant/sensor/SkyFollower_runner_us_faa_{name}/config for each of the three stats above.