Strava-dashboard/app.py at main · alexgasconn/Strava-dashboard · GitHub

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import streamlit as st
import pandas as pd
from utils import preprocess_data
from tabs import general, running, swimming, cycling, time_weather

st.set_page_config(page_title="Strava Triathlon Dashboard", layout="wide", initial_sidebar_state="expanded")

from auth_strava import authenticate
import requests

with st.sidebar:
    data_source = st.radio("Choose data source", ["🔗 Strava API", "📂 Upload CSV", "📊 Example Data"])

    if data_source == "📂 Upload CSV":
        uploaded_file = st.file_uploader("Upload a CSV file", type="csv")
        if uploaded_file:
            df = pd.read_csv(uploaded_file, encoding='latin-1', on_bad_lines='skip')
        else:
            st.stop()

    elif data_source == "📊 Example Data":
        df = pd.read_csv("activities.csv", encoding='latin-1', on_bad_lines='skip')

    else:  # Strava API
        access_token = authenticate()
        headers = {"Authorization": f"Bearer {access_token}"}
        response = requests.get(
            "https://www.strava.com/api/v3/athlete/activities?per_page=200",
            headers=headers
        )
        activities = response.json()

        if not isinstance(activities, list) or len(activities) == 0:
            st.error("Failed to fetch activities from Strava API.")
            st.stop()

        df = pd.DataFrame(activities)

    df = preprocess_data(df)

    # Date filter
    if 'Activity Date' in df.columns:
        df['Activity Date'] = pd.to_datetime(df['Activity Date'], errors='coerce')
        df = df.dropna(subset=['Activity Date'])

        min_date = df['Activity Date'].min().date()
        max_date = df['Activity Date'].max().date()

        default_start = max(pd.to_datetime("2020-01-01").date(), min_date)
        default_end = max_date

        start_date = st.date_input("Start date", min_value=min_date, max_value=max_date, value=default_start)
        end_date = st.date_input("End date", min_value=min_date, max_value=max_date, value=default_end)

        if start_date > end_date:
            st.warning("Start date must be before end date")
            st.stop()

        mask = (df['Activity Date'].dt.date >= start_date) & (df['Activity Date'].dt.date <= end_date)
        df = df.loc[mask]


# Tab navigation
tabs = {
    "🏃🚴🏊 General": general,
    "🏃 Running": running,
    "🏊 Swimming": swimming,
    "🚴 Cycling": cycling,
    "🕒⛅ Time & Weather": time_weather,
}

tab_labels = list(tabs.keys())
tab_objects = st.tabs(tab_labels)

for tab_obj, tab_label in zip(tab_objects, tab_labels):
    with tab_obj:
        tabs[tab_label].render(df)