FSEconomy

This is a small simple command-line tool for searching optimal assignments in FSEconomy addon (http://www.fseconomy.net/)

Requirements

First of all you need to have installed Python 2.7. List of required modules:

• pandas
• numpy
• pulp

Numpy on Windows requires: Microsoft Visual C++ Compiler for Python 2.7

Usage

Simple search:

python main.py --skey={your service key here}

or

python main.py --ukey={your user key here}

First of all this tool will download info about all assignments from FSEconomy server. It's time consuming operation, so next time you can use --local parameter to use a local dump:

python main.py --ukey={your user key here} --local

Then FSEconomy tool will try to find an optimal route to maximize your earnings.

To set limit of airports use --limit (default value is 10):

python main.py --ukey={your user key here} --limit=5 --local

To set aircraft search radius use --radius (default value is 50nm)

python main.py --ukey={your user key here} --limit=5 --radius=100 --local

Output example:

      FromIcao ToIcao  Amount    Pay PtAssignment All-In  \
47479     PHTO   PHBK     184  70595        False  False
52915     SCTE   SAVC     125  56874        False  False

                           MakeModel CraftLocation  CraftSeats  CraftCruise  \
47479          Bristol Britannia 300          HI28         105          330
52915          Bristol Britannia 300          SCAC         105          330

       RentalDry  RentalWet  CraftDistance  Distance  DryRent   WetRent  \
47479       2500      10000           38.6     299.9  2564.39  10257.58
52915       7044      11454           42.9     358.7  8572.33  13939.17

       DryEarnings  WetEarnings  DryRatio  WetRatio
47479     29539.61     21846.42  28797.85  21297.84
52915     22617.67     17250.83  18585.24  14175.23

It means that best option now is:

• to rent Bristol Britannia 300 in HI28
• fly 38.6 miles to PHTO
• add assignments to PHBK (I have to add some info about what specific assignments are optimal)
• fly!

Issues

See issues in my GitHub repository. If you expirienced some that I haven't notice, don't be shy to notify me.