mirror of
https://github.com/BigBodyCobain/Shadowbroker.git
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anoracleofra-code
668ce16dc7
Gate messages now propagate via the Infonet hashchain as encrypted blobs — every node syncs them through normal chain sync while only Gate members with MLS keys can decrypt. Added mesh reputation system, peer push workers, voluntary Wormhole opt-in for node participation, fork recovery, killwormhole scripts, obfuscated terminology, and hardened the self-updater to protect encryption keys and chain state during updates. New features: Shodan search, train tracking, Sentinel Hub imagery, 8 new intelligence layers, CCTV expansion to 11,000+ cameras across 6 countries, Mesh Terminal CLI, prediction markets, desktop-shell scaffold, and comprehensive mesh test suite (215 frontend + backend tests passing). Community contributors: @wa1id, @AlborzNazari, @adust09, @Xpirix, @imqdcr, @csysp, @suranyami, @chr0n1x, @johan-martensson, @singularfailure, @smithbh, @OrfeoTerkuci, @deuza, @tm-const, @Elhard1, @ttulttul
132 lines
4.5 KiB
Python
132 lines
4.5 KiB
Python
"""
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Fuel burn & CO2 emissions estimator for private jets.
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Based on manufacturer-published cruise fuel burn rates (GPH at long-range cruise).
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1 US gallon of Jet-A produces ~21.1 lbs (9.57 kg) of CO2.
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"""
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JET_A_CO2_KG_PER_GALLON = 9.57
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# ICAO type code -> gallons per hour at long-range cruise
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FUEL_BURN_GPH: dict[str, int] = {
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# Gulfstream
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"GLF6": 430, # G650/G650ER
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"G700": 480, # G700
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"GLF5": 390, # G550
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"GVSP": 400, # GV-SP
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"GLF4": 330, # G-IV
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# Bombardier
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"GL7T": 490, # Global 7500
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"GLEX": 430, # Global Express/6000/6500
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"GL5T": 420, # Global 5000/5500
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"CL35": 220, # Challenger 350
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"CL60": 310, # Challenger 604/605
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"CL30": 200, # Challenger 300
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"CL65": 320, # Challenger 650
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# Dassault
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"F7X": 350, # Falcon 7X
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"F8X": 370, # Falcon 8X
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"F900": 285, # Falcon 900/900EX/900LX
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"F2TH": 230, # Falcon 2000
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"FA50": 240, # Falcon 50
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# Cessna
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"CITX": 280, # Citation X
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"C68A": 195, # Citation Latitude
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"C700": 230, # Citation Longitude
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"C680": 220, # Citation Sovereign
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"C560": 190, # Citation Excel/XLS
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"C510": 75, # Citation Mustang
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"CJ3": 120, # CJ3
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"CJ4": 135, # CJ4
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# Boeing
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"B737": 850, # BBJ (737)
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"B738": 920, # BBJ2 (737-800)
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"B752": 1100, # 757-200
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"B762": 1400, # 767-200
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"B788": 1200, # 787-8
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# Airbus
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"A318": 780, # ACJ318
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"A319": 850, # ACJ319
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"A320": 900, # ACJ320
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"A343": 1800, # A340-300
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"A346": 2100, # A340-600
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# Pilatus
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"PC24": 115, # PC-24
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"PC12": 60, # PC-12
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# Embraer
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"E55P": 185, # Legacy 500
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"E135": 300, # Legacy 600/650
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"E50P": 135, # Phenom 300
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"E500": 80, # Phenom 100
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# Learjet
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"LJ60": 195, # Learjet 60
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"LJ75": 185, # Learjet 75
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"LJ45": 175, # Learjet 45
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# Hawker
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"H25B": 210, # Hawker 800/800XP
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"H25C": 215, # Hawker 900XP
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# Beechcraft
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"B350": 100, # King Air 350
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"B200": 80, # King Air 200/250
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}
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# Common string names -> ICAO type code
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_ALIASES: dict[str, str] = {
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"Gulfstream G650": "GLF6", "Gulfstream G650ER": "GLF6", "G650": "GLF6", "G650ER": "GLF6",
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"Gulfstream G700": "G700",
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"Gulfstream G550": "GLF5", "G550": "GLF5", "G500": "GLF5",
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"Gulfstream GV": "GVSP", "Gulfstream G-V": "GVSP", "GV": "GVSP",
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"Gulfstream G-IV": "GLF4", "Gulfstream GIV": "GLF4", "G450": "GLF4",
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"Global 7500": "GL7T", "Bombardier Global 7500": "GL7T",
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"Global 6000": "GLEX", "Global Express": "GLEX", "Bombardier Global 6000": "GLEX",
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"Global 5000": "GL5T",
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"Challenger 350": "CL35", "Challenger 300": "CL30",
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"Challenger 604": "CL60", "Challenger 605": "CL60", "Challenger 650": "CL65",
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"Falcon 7X": "F7X", "Dassault Falcon 7X": "F7X",
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"Falcon 8X": "F8X", "Dassault Falcon 8X": "F8X",
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"Falcon 900": "F900", "Falcon 900LX": "F900", "Falcon 900EX": "F900",
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"Falcon 2000": "F2TH",
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"Citation X": "CITX", "Citation Latitude": "C68A", "Citation Longitude": "C700",
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"Boeing 757-200": "B752", "757-200": "B752", "Boeing 757": "B752",
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"Boeing 767-200": "B762", "767-200": "B762", "Boeing 767": "B762",
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"Boeing 787-8": "B788", "Boeing 787": "B788",
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"Boeing 737": "B737", "737 BBJ": "B737", "BBJ": "B737",
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"Airbus A340-300": "A343", "A340-300": "A343", "A340": "A343",
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"Airbus A318": "A318",
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"Pilatus PC-24": "PC24", "PC-24": "PC24",
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"Legacy 500": "E55P", "Legacy 600": "E135", "Phenom 300": "E50P",
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"Learjet 60": "LJ60", "Learjet 75": "LJ75",
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"Hawker 800": "H25B", "Hawker 900XP": "H25C",
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"King Air 350": "B350", "King Air 200": "B200",
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}
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def get_emissions_info(model: str) -> dict | None:
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"""
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Given an aircraft model string (ICAO type code or common name),
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return emissions info dict or None if unknown.
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"""
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if not model:
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return None
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model_clean = model.strip()
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# Try direct ICAO code match first
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gph = FUEL_BURN_GPH.get(model_clean.upper())
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if gph is None:
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# Try alias lookup
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code = _ALIASES.get(model_clean)
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if code:
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gph = FUEL_BURN_GPH.get(code)
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if gph is None:
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# Fuzzy: check if any alias is a substring
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model_lower = model_clean.lower()
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for alias, code in _ALIASES.items():
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if alias.lower() in model_lower or model_lower in alias.lower():
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gph = FUEL_BURN_GPH.get(code)
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if gph:
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break
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if gph is None:
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return None
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return {
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"fuel_gph": gph,
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"co2_kg_per_hour": round(gph * JET_A_CO2_KG_PER_GALLON, 1),
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}
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