Explanation of how the flight route search algorithm works!
P.S.: You didn't mention in GitHub README.md what the limitation is in the number of stops between origin and destination OR any total travel time limitation. This algorithm will show all routes between origin and destination, which overlay time in each stop is more than one hour and less than 6 hours with no repeated stops (including origin).
P.S. 2: Unfortunately, I couldn't understand what "bags_count" is related to! SO I set "?" as the value of it.
P.S. 3: It is not clear what you mean by the "return" argument! But I think you mean a round trip! But still, you didn't mention in GitHub README.md how the return flight should operate! You described it in just one example, which is for a trip with a non-stop flight as below. There is no other description or example!
python -m solution example/example0.csv RFZ WIW --bags=1 --return
will perform a search RFZ -> WIW -> RFZ for flights which allow at least 1 piece of baggage.
But what if we have a flight route that has multiple stops? like flight route in example3.csv from NNB to VVH as follows: (NNB -> ZRW -> JBN -> EZO -> WUE -> WTN -> VVH)
{
"flights": [
{
"flight_no": "YL366",
"origin": "NNB",
"destination": "ZRW",
"departure": "2021-09-01T16:10:00",
"arrival": "2021-09-01T19:10:00",
"base_price": "47.0",
"bag_price": "10",
"bags_allowed": "2"
},
{
"flight_no": "YL492",
"origin": "ZRW",
"destination": "JBN",
"departure": "2021-09-01T21:25:00",
"arrival": "2021-09-02T02:15:00",
"base_price": "203.0",
"bag_price": "10",
"bags_allowed": "2"
},
{
"flight_no": "YL471",
"origin": "JBN",
"destination": "EZO",
"departure": "2021-09-02T04:55:00",
"arrival": "2021-09-02T07:30:00",
"base_price": "31.0",
"bag_price": "10",
"bags_allowed": "1"
},
{
"flight_no": "JT755",
"origin": "EZO",
"destination": "WUE",
"departure": "2021-09-02T11:10:00",
"arrival": "2021-09-02T14:25:00",
"base_price": "76.0",
"bag_price": "11",
"bags_allowed": "1"
},
{
"flight_no": "YL562",
"origin": "WUE",
"destination": "WTN",
"departure": "2021-09-02T17:30:00",
"arrival": "2021-09-02T23:15:00",
"base_price": "337.0",
"bag_price": "10",
"bags_allowed": "2"
},
{
"flight_no": "YL244",
"origin": "WTN",
"destination": "VVH",
"departure": "2021-09-03T04:05:00",
"arrival": "2021-09-03T08:50:00",
"base_price": "189.0",
"bag_price": "10",
"bags_allowed": "2"
}
],
"bags_allowed": "1",
"bags_count": "?",
"destination": "VVH",
"origin": "NNB",
"total_price": 944,
"travel_time": "1 day, 16:40:00"
}
So is it possible that the return flight has multiple stops, too? in this solution I consider it as YES! and specify all possible routes from destination to origin in the "return" tag.
There are two files, solution.py and flight.py, which flight.py contains the flight class in it, and solution.py gets the related arguments from CLI and calls the mentioned class with these arguments.
In the Flight class in the initiation __filter_origin function is executing.
Attributes:
csv(attributes, public, String) set by the csv in class initiationorigin(attributes, public, String) set by the origin in class initiationdestination(attributes, public, String) set by the destination in class initiationbags(attributes, public, int) set by the number of bags in class initiation - default is 0return_flight(attributes, public, Boolean) set by the return value in class initiation - default is Falsereturn_flight_list(attributes, public, list) will get the return flight trips (list of dictionaries)__json(attributes, private, dictionary) will get the value of the converted CSV__marked_json(attributes, private, dictionary) will get the marked trip's value.__column_name(attributes, private, list) set by the list of the default values of CSV columns.result(attributes, public, dictionary) set by all possible routes from A to B.
Functions:
__filter_origin(function, private, without argument, without return) is executing__mark_flight_numberthen create a dictionary which keys are origins and values are dictionaries of trips with related origins and assign it to__filtered_originattribute!__mark_flight_number(function, private, without argument, without return) is executing__convert_csv_to_jsonthen mark each trip with a unique and increasing int number (which is zero based) and assign it to__marked_jsonattribute!__convert_csv_to_json(function, private, without argument, without return) is opening the CSV file, converting it to a dictionary, and assigning it to__jsonattribute!__recursive_search(function, private, with argument, return dictionary object) processes the possible routes between A to B recursively based on__filtered_origin, and return the dictionary! arguments:
dest_list: list of the current searched origins (list, without default value)json_data: a dictionary of the trips with the mentioned origin (dictionary, without default value)current_dep_time: departure time of the current loop of recursive (string, without default value)
create_json(function, public, without argument, return a list of dictionaries) is iterating__nested_dict_iteratorthen creating a list of dictionaries for requested JSON format based on the result attribute!__nested_dict_iterator(function, private, with argument, without return) is iterating dictionary (nested dictionaries) which is passed bydict_objargument!
dict_obj: a dictionary of the trips with the route between mentioned origin and destination (dictionary "nested dictionaries", without default value)
__return_list(function, private, without argument, without return) is executingFlightclass again for the return trip and assigning the final JSON toreturn_flight_listattribute!__filter_return_by_arrival_time(function, private, with argument, with return) filter the result of the return trips based on time and return routes if the first return departure is after the final arrival.
arrival_time: string timestamp of the current flight arrival time. (String, without default value)
__time_differ(function, private, with argument, with return) calculating between two dates and times.
date_1: First date and time (string, without default value)date_2: Second date and time (string, without default value)p: set True if return interval needed as Integer. (boolean, default value is False)
python solution.py -c (--csv=) example.csv -o (--origin=) WIW -d (--destination=) RFZ --bags=1 --return=True
For instance: 1.Following command execution (without return flight)
python solution.py -c example0.csv -o WIW -d RFZ
has the following output
[
{
"flights": [
{
"flight_no": "ZH214",
"origin": "WIW",
"destination": "RFZ",
"departure": "2021-09-01T23:20:00",
"arrival": "2021-09-02T03:50:00",
"base_price": "168.0",
"bag_price": "12",
"bags_allowed": "2"
}
],
"bags_allowed": "2",
"bags_count": "?",
"destination": "RFZ",
"origin": "WIW",
"total_price": 180.0,
"travel_time": "4:30:00"
},
{
"flights": [
{
"flight_no": "ZH214",
"origin": "WIW",
"destination": "RFZ",
"departure": "2021-09-04T23:20:00",
"arrival": "2021-09-05T03:50:00",
"base_price": "168.0",
"bag_price": "12",
"bags_allowed": "2"
}
],
"bags_allowed": "2",
"bags_count": "?",
"destination": "RFZ",
"origin": "WIW",
"total_price": 180.0,
"travel_time": "4:30:00"
},
{
"flights": [
{
"flight_no": "ZH214",
"origin": "WIW",
"destination": "RFZ",
"departure": "2021-09-09T23:20:00",
"arrival": "2021-09-10T03:50:00",
"base_price": "168.0",
"bag_price": "12",
"bags_allowed": "2"
}
],
"bags_allowed": "2",
"bags_count": "?",
"destination": "RFZ",
"origin": "WIW",
"total_price": 180.0,
"travel_time": "4:30:00"
}
]
2.Following command execution (with return flight and bag limitation)
python solution.py -c example0.csv -o WIW -d RFZ --bags=2 --return=True
has the following output
[
{
"flights": [
{
"flight_no": "ZH214",
"origin": "WIW",
"destination": "RFZ",
"departure": "2021-09-01T23:20:00",
"arrival": "2021-09-02T03:50:00",
"base_price": "168.0",
"bag_price": "12",
"bags_allowed": "2"
}
],
"bags_allowed": "2",
"bags_count": "?",
"destination": "RFZ",
"origin": "WIW",
"total_price": 180.0,
"travel_time": "4:30:00",
"return": [
{
"flights": [
{
"flight_no": "ZH214",
"origin": "RFZ",
"destination": "WIW",
"departure": "2021-09-02T05:50:00",
"arrival": "2021-09-02T10:20:00",
"base_price": "168.0",
"bag_price": "12",
"bags_allowed": "2"
}
],
"bags_allowed": "2",
"bags_count": "?",
"destination": "WIW",
"origin": "RFZ",
"total_price": 180.0,
"travel_time": "4:30:00"
},
{
"flights": [
{
"flight_no": "ZH214",
"origin": "RFZ",
"destination": "WIW",
"departure": "2021-09-05T05:50:00",
"arrival": "2021-09-05T10:20:00",
"base_price": "168.0",
"bag_price": "12",
"bags_allowed": "2"
}
],
"bags_allowed": "2",
"bags_count": "?",
"destination": "WIW",
"origin": "RFZ",
"total_price": 180.0,
"travel_time": "4:30:00"
},
{
"flights": [
{
"flight_no": "ZH214",
"origin": "RFZ",
"destination": "WIW",
"departure": "2021-09-10T05:50:00",
"arrival": "2021-09-10T10:20:00",
"base_price": "168.0",
"bag_price": "12",
"bags_allowed": "2"
}
],
"bags_allowed": "2",
"bags_count": "?",
"destination": "WIW",
"origin": "RFZ",
"total_price": 180.0,
"travel_time": "4:30:00"
}
]
},
{
"flights": [
{
"flight_no": "ZH214",
"origin": "WIW",
"destination": "RFZ",
"departure": "2021-09-04T23:20:00",
"arrival": "2021-09-05T03:50:00",
"base_price": "168.0",
"bag_price": "12",
"bags_allowed": "2"
}
],
"bags_allowed": "2",
"bags_count": "?",
"destination": "RFZ",
"origin": "WIW",
"total_price": 180.0,
"travel_time": "4:30:00",
"return": [
{
"flights": [
{
"flight_no": "ZH214",
"origin": "RFZ",
"destination": "WIW",
"departure": "2021-09-05T05:50:00",
"arrival": "2021-09-05T10:20:00",
"base_price": "168.0",
"bag_price": "12",
"bags_allowed": "2"
}
],
"bags_allowed": "2",
"bags_count": "?",
"destination": "WIW",
"origin": "RFZ",
"total_price": 180.0,
"travel_time": "4:30:00"
},
{
"flights": [
{
"flight_no": "ZH214",
"origin": "RFZ",
"destination": "WIW",
"departure": "2021-09-10T05:50:00",
"arrival": "2021-09-10T10:20:00",
"base_price": "168.0",
"bag_price": "12",
"bags_allowed": "2"
}
],
"bags_allowed": "2",
"bags_count": "?",
"destination": "WIW",
"origin": "RFZ",
"total_price": 180.0,
"travel_time": "4:30:00"
}
]
},
{
"flights": [
{
"flight_no": "ZH214",
"origin": "WIW",
"destination": "RFZ",
"departure": "2021-09-09T23:20:00",
"arrival": "2021-09-10T03:50:00",
"base_price": "168.0",
"bag_price": "12",
"bags_allowed": "2"
}
],
"bags_allowed": "2",
"bags_count": "?",
"destination": "RFZ",
"origin": "WIW",
"total_price": 180.0,
"travel_time": "4:30:00",
"return": [
{
"flights": [
{
"flight_no": "ZH214",
"origin": "RFZ",
"destination": "WIW",
"departure": "2021-09-05T05:50:00",
"arrival": "2021-09-05T10:20:00",
"base_price": "168.0",
"bag_price": "12",
"bags_allowed": "2"
}
],
"bags_allowed": "2",
"bags_count": "?",
"destination": "WIW",
"origin": "RFZ",
"total_price": 180.0,
"travel_time": "4:30:00"
},
{
"flights": [
{
"flight_no": "ZH214",
"origin": "RFZ",
"destination": "WIW",
"departure": "2021-09-10T05:50:00",
"arrival": "2021-09-10T10:20:00",
"base_price": "168.0",
"bag_price": "12",
"bags_allowed": "2"
}
],
"bags_allowed": "2",
"bags_count": "?",
"destination": "WIW",
"origin": "RFZ",
"total_price": 180.0,
"travel_time": "4:30:00"
}
]
}
]
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