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123import json
import fire
from pprint import pprint
import plotly.express as px
import pandas
from itertools import count
def url(id):
"""Print Strava URL"""
return f"https://www.strava.com/activities/{id}"
def analyze(fname: str):
"""Print the top 60 rides by length and their rank."""
with open(fname, "r") as fh:
data = json.load(fh)
distances = [ride["distance"] for ride in data]
distances.sort(reverse=True)
ranked = [(i, d / 1000) for i, d in enumerate(distances, start=1)]
pprint(ranked[0:60])
def speed(fname: str):
"""Print the top 10 rides by avg speed."""
with open(fname, "r") as fh:
data = json.load(fh)
def div(num, den):
if den != 0:
return num / den
print(f"{num} / {den}")
return 0
# 5383195734
data = [r for r in data if r["type"] == "Ride"]
data = [r for r in data if r["trainer"] == False]
distances = [
(
ride["average_speed"] * 3.6,
div(3.6 * ride["distance"], ride["elapsed_time"]),
div(ride["distance"], ride["moving_time"]) * 3.6,
ride["name"],
ride["distance"] / 1000,
url(ride["id"]),
)
for ride in data
]
# elapsed_time, average_speed, average_watts, moving_time, type=Ride,
# flagged = true???
# kudos_count
distances.sort(reverse=True)
ranked = [(i, *d) for i, d in enumerate(distances, start=1)]
pprint(ranked[0:10])
def flagged(fname: str):
"""List all flagged activities."""
with open(fname, "r") as fh:
data = json.load(fh)
data = [r for r in data if r["flagged"]]
distances = [
(
ride["name"],
url(ride["id"]),
)
for ride in data
]
distances.sort(reverse=True)
pprint(distances)
def kudos(fname: str):
"""Sort by kudos."""
with open(fname, "r") as fh:
data = json.load(fh)
distances = [
(
ride["kudos_count"],
ride["name"],
url(ride["id"]),
)
for ride in data
]
distances.sort(reverse=True)
pprint(distances[0:10])
def plot(fname: str):
with open(fname, "r") as fh:
df = pandas.read_json(fh)
df["distance"] = df["distance"] / 1000
df["rank"] = df["distance"].rank(method="min", ascending=False)
df.sort_values("rank", ascending=False, inplace=True)
fig = px.line(df, x="rank", y="distance", title="Distance Distribution")
fig.show()
def target(fname: str, target: int):
with open(fname, "r") as fh:
data = json.load(fh)
distances = [ride["distance"] for ride in data]
distances.sort(reverse=True)
ranked = [(i, d / 1000) for i, d in enumerate(distances, start=1)]
above_target = len([d for d in distances if d >= target * 1000]) # Inefficient
needed = target - above_target
print(f"Need {needed} rides above {target} to reach E-number of {target}.")
if __name__ == "__main__":
fire.Fire()