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from datetime import datetime
from typing import List
import numpy as np
from spotipy import Spotify
from dateutil.parser import parse
import matplotlib.pyplot as plt
def fetch_recent_songs(client: Spotify):
cursor = client.current_user_recently_played()
recently_played: List[dict] = cursor["items"]
max_iterations = 30
it = 0
while it < max_iterations and cursor["cursors"] is not None:
cursor = client.current_user_recently_played(before=cursor["cursors"]["before"])
recently_played.extend(cursor["items"])
return recently_played
def build_heatmap(recent_songs: List[dict]) -> np.ndarray:
heatmap = np.zeros((7, 20))
now = datetime.now().astimezone()
for track in recent_songs:
played_at = parse(track["played_at"])
weekday = datetime.weekday(played_at)
week_offset = (now - played_at).days // 7
heatmap[weekday, -(week_offset +1)] +=1
return heatmap
def plot(heatmap: np.ndarray):
fig, ax = plt.subplots()
ax.imshow(heatmap, cmap="Greens")
ax.set_ylim(0, 6)
ax.set_title("Recent activity")
ax.set_yticklabels(["Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"])
return fig, ax |