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import pandas as pd | |
from math import * | |
def get_aircraft_details(aircraft_type): | |
# Load the CSV file | |
csv_file = r'aircraft.csv' # Replace with the actual path if needed | |
df = pd.read_csv(csv_file) | |
# Check if the aircraft type exists in the DataFrame | |
if aircraft_type not in df['Aircraft'].values: | |
return f"Aircraft type '{aircraft_type}' not found in the dataset." | |
# Fetch the relevant details for the given aircraft type | |
aircraft_details = df[df['Aircraft'] == aircraft_type][[ | |
'Range_km', | |
'Fuel_Consumption_kg/hr', | |
'Cruising Speed (kts)', | |
'Speed_kmh', | |
'MaxFlightTime_hr', | |
'Max_Fuel_Capacity_kg' | |
]] | |
# Convert the result to a dictionary for easier reading | |
details_dict = aircraft_details.to_dict(orient='records')[0] | |
return details_dict | |
def get_airport_lat_long(identifiers): | |
""" | |
Fetch latitude and longitude for a list of airport names or IATA codes. | |
:param identifiers: List of airport names or IATA codes (minimum of 2) | |
:return: Dictionary with airport identifiers as keys and (latitude, longitude) tuples as values | |
""" | |
if len(identifiers) < 2: | |
return "Please provide at least two airport identifiers." | |
# Load the CSV file | |
csv_file = r'airport.csv' # Replace with the actual path if needed | |
df = pd.read_csv(csv_file) | |
# Efficiently filter rows where the 'Name' or 'IATA' matches any of the provided identifiers | |
df_filtered = df[df['Airport_Name'].isin(identifiers) | df['IATA'].isin(identifiers)] | |
# Extract relevant information and store in a dictionary | |
lat_long_dict = {} | |
for _, row in df_filtered.iterrows(): | |
identifier = row['IATA'] if row['IATA'] in identifiers else row['Name'] | |
lat_long_dict[identifier] = (row['Lat'], row['Long']) | |
# Check if all identifiers were found | |
not_found = [id for id in identifiers if id not in lat_long_dict] | |
if not_found: | |
return f"These identifiers were not found: {', '.join(not_found)}" | |
return lat_long_dict | |
def haversine_distance(lat1, lon1, lat2, lon2): | |
""" | |
Calculate the Haversine distance between two points on the Earth. | |
""" | |
R = 6371.0 # Radius of Earth in kilometers | |
# Convert latitude and longitude from degrees to radians | |
lat1, lon1, lat2, lon2 = map(radians, [lat1, lon1, lat2, lon2]) | |
# Haversine formula | |
dlat = lat2 - lat1 | |
dlon = lon2 - lon1 | |
a = sin(dlat / 2)**2 + cos(lat1) * cos(lat2) * sin(dlon / 2)**2 | |
c = 2 * asin(sqrt(a)) | |
distance = round(R * c,2) | |
return distance | |
def calculate_distances(airport_identifiers): | |
""" | |
Calculate the distance between multiple airports. | |
:param airport_identifiers: List of airport names or IATA codes | |
:return: Dictionary with airport pairs as keys and their distances in kilometers as values | |
""" | |
lat_long_dict = get_airport_lat_long(airport_identifiers) | |
if isinstance(lat_long_dict, str): # Check if there was an error fetching airport data | |
return lat_long_dict | |
# Calculate the distance for each combination of airports | |
distances = {} | |
identifiers = list(lat_long_dict.keys()) | |
for i in range(len(identifiers)): | |
for j in range(i + 1, len(identifiers)): | |
airport1 = identifiers[i] | |
airport2 = identifiers[j] | |
lat1, lon1 = lat_long_dict[airport1] | |
lat2, lon2 = lat_long_dict[airport2] | |
distance = haversine_distance(lat1, lon1, lat2, lon2) | |
distances[(airport1, airport2)] = distance | |
return distances | |
# Example usage: | |
# aircraft_type = input("Enter the aircraft type: ") | |
# aircraft_specs = get_aircraft_details(aircraft_type) | |
# print(aircraft_specs) | |
# airport_list = ['SIN','CDG'] | |
# print(get_airport_lat_long(airport_list)) | |
# print(calculate_distances(airport_list)) | |
# fuel_burn_rate = aircraft_specs['Fuel_Consumption_kg/hr'] | |
# cruising_speed = aircraft_specs['Max_Fuel_Capacity_kg'] | |
# max_fuel_capacity = aircraft_specs['Speed_kmh'] | |
# reserve_fuel_percentage = 0.05 # 5% reserve | |
# #Reserver Fuel calculation | |
# reserve_fuel = reserve_fuel_percentage*max_fuel_capacity | |
# #Flight Time | |
# flight_time = trip_distance/cruising_speed | |
# #Fuel needed for Trip | |
# fuel_required = flight_time*fuel_burn_rate | |
# total_fuel_with_reserve = fuel_required+reserve_fuel | |
# if total_fuel_with_reserve>max_fuel_capacity: | |
# print("Cant Fly without refuel") | |
# else: | |
# print(f"Total fuel required for the trip (including reserve): {round(total_fuel_with_reserve,2)} kg") | |