mirror of
https://github.com/JonasunderscoreJones/turbo-octo-potato.git
synced 2025-10-25 19:19:19 +02:00
J-onasJones
6d2ece92ee
Moved tokens and credentials to the .env file to not store them in the python file itself anymore. - Added .env credential storage - Fixed deadspaces
62 lines
No EOL
2.1 KiB
Python
62 lines
No EOL
2.1 KiB
Python
import requests
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from datetime import datetime
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import json
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import urllib.parse
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import time
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import os
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from dotenv import load_dotenv
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# load .env file
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load_dotenv()
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starttime = time.time()
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LASTFM_API_KEY = os.getenv('LASTFM_API_KEY')
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LASTFM_USERNAME = os.getenv('LASTFM_USERNAME')
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if not LASTFM_API_KEY or not LASTFM_USERNAME:
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raise ValueError("Please provide the required information in the .env file.")
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# Get the total number of scrobbles for the user
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url = f"http://ws.audioscrobbler.com/2.0/?method=user.getinfo&user={LASTFM_USERNAME}&api_key={LASTFM_API_KEY}&format=json"
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response = requests.get(url)
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data = response.json()
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total_scrobbles = int(data['user']['playcount'])
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# Calculate the number of pages required for pagination
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page_count = (total_scrobbles + 200 - 1) // 200
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# Fetch all scrobbles by paginating through the API responses
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all_scrobbles = []
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for page in range(1, page_count + 1):
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url = f"http://ws.audioscrobbler.com/2.0/?method=user.getrecenttracks&user={LASTFM_USERNAME}&api_key={LASTFM_API_KEY}&format=json&page={page}"
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response = requests.get(url)
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data = response.json()
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tracks = data['recenttracks']['track']
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for track in tracks:
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artist = urllib.parse.quote(track['artist']['#text'])
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song = urllib.parse.quote(track['name'])
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track_url = f"http://ws.audioscrobbler.com/2.0/?method=track.getInfo&api_key={LASTFM_API_KEY}&artist={artist}&track={song}&format=json"
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#print(track_url)
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track_response = requests.get(track_url)
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track_data = track_response.json()
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duration = int(track_data['track']['duration'])
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track['duration'] = duration
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all_scrobbles.append(track)
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# Save the song list to a JSON file
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output_file = "song_list.json"
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with open(output_file, "w") as file:
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json.dump(all_scrobbles, file)
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total_duration = sum(track['duration'] for track in all_scrobbles)
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print(total_duration)
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# Convert the total listening time to a human-readable format
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total_time = datetime.utcfromtimestamp(total_duration).strftime('%H:%M:%S')
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print(f"Overall Listening Time: {total_time}")
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print(f"Took: {time.time() - starttime}") |