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from mapmyfitness import MapMyFitness
import matplotlib.pyplot as plt
import matplotlib
import numpy as np

def get_workouts():
    # Log in
    mmf = MapMyFitness(api_key='6du8934wfvrdqnbtzd9h9kxbstdqrn2x', \
            access_token='237eee8b8f8bc541841d902ea9a533fa07b748b4')

    # get all workouts
    workouts = mmf.workout.search(user=48155002,per_page=50000)

    workout_list = workouts.page(1)

    paces = []
    distances = []
    dates = []

    for i,workout in enumerate(workout_list):
        print "processing workout " + str(i+1) + " of " + str(len(workout_list))
        if 'run' in workout.activity_type.name.lower():
            distances.append(workout.distance_total/1609.344) # convert meters to miles
            paces.append(26.8224/workout.speed_avg) # convert m/s to minutes per mile
            dates.append(workout.start_datetime)
    return distances, paces, dates, workout_list

if __name__ == '__main__':

    months   = matplotlib.dates.MonthLocator(bymonthday=15)  # every month
    monthsFmt = matplotlib.dates.DateFormatter('%b')

    distances, paces, dates, workouts = get_workouts()
    d = np.array([matplotlib.dates.date2num(dd) for dd in dates])

    fig, ax = plt.subplots()
    ax.plot_date(d,paces,'ok')
    ax.xaxis.set_major_locator(months)
    ax.xaxis.set_major_formatter(monthsFmt)
    plt.ylabel('Pace (minutes per mile)')

    fig, ax = plt.subplots()
    plt.plot_date(d,distances,'ok')
    ax.xaxis.set_major_locator(months)
    ax.xaxis.set_major_formatter(monthsFmt)
    plt.ylabel('Distance (miles)')