Export CSV file with google link based on Beam Travel times

[carloscaldas]

Issue: #2426

Running the script (python v3):

python generate_rides_with_google_maps.py \
  --inputFile=/path-to-the-file/0.personal.CarRideStats.csv.gz \
  --sampleSize=10 \
  --sampleSeed=200 \
  --maxDistance=4450 \
  --departureTimeRange=[25246,25248]
  --areaBoundBox=[(10,11.1),(12,14)]

will generate the file
/path-to-the-file/0.personal.CarRideStats.output.csv

python generate_rides_with_google_maps.py \
  --inputFile="https://beam-outputs.s3.amazonaws.com/output/sf-light/austin-light-100k__2020-03-02_20-06-35_cnx/ITERS/it.9/9.CarRideStats.csv.gz" \
  --sampleSize=10 \
  --sampleSeed=200 \
  --maxDistance=4450 \
  --departureTimeRange=[25246,25248]
  --areaBoundBox=[(10,11.1),(12,14)]

will generate the file
/path-to-the-python_script/output/sf-light/austin-light-100k__2020-03-02_20-06-35_cnx/ITERS/it.9/9.CarRideStats.output.csv

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This change is 

[JustinPihony]

test!

[REASY]

What is the verison of Python? Is it 2 or 3? Anyway, can you use https://docs.python.org/2/library/argparse.html to parse arguments instead of doing a lot of manual work?

[carloscaldas]

It is Python 3. It is using getOpt. There is no lot of manual work, only default values definitions, so the arguments must be tested.

[REASY]

I guess you could do it in-place, e.g:

def google_link(start_x, start_y, end_x, end_y):
    return f"https://www.google.com/maps/dir/{start_y}%09{start_x}/{end_y}%09{end_x}"
df['google_link'] = df.apply(lambda x: google_link(x.start_x, x.start_y, x.end_x, x.end_y), axis=1)