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Merge pull request #2 from Xevion/spotify

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properly add in spotify_explicit portion
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Xevion
2019-11-03 02:16:34 -06:00
committed by GitHub
parent 31083fedd0 a4b36c59f0
commit a0b1b5f013
11 changed files with 1141 additions and 1 deletions
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app/spotify_explicit

Submodule app/spotify_explicit deleted from 9bd5b0c789

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__pycache__/**
tracks/**
cache_xevioni/**
.cache-*
auth.json
export/**
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
.hypothesis/
.pytest_cache/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
target/
# Jupyter Notebook
.ipynb_checkpoints
# pyenv
.python-version
# celery beat schedule file
celerybeat-schedule
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/

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Program, unless a warranty or assumption of liability accompanies a
copy of the Program in return for a fee.
END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
To do so, attach the following notices to the program. It is safest
to attach them to the start of each source file to most effectively
state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
<one line to give the program's name and a brief idea of what it does.>
Copyright (C) <year> <name of author>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Also add information on how to contact you by electronic and paper mail.
If the program does terminal interaction, make it output a short
notice like this when it starts in an interactive mode:
<program> Copyright (C) <year> <name of author>
This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
This is free software, and you are welcome to redistribute it
under certain conditions; type `show c' for details.
The hypothetical commands `show w' and `show c' should show the appropriate
parts of the General Public License. Of course, your program's commands
might be different; for a GUI interface, you would use an "about box".
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU GPL, see
<https://www.gnu.org/licenses/>.
The GNU General Public License does not permit incorporating your program
into proprietary programs. If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
the library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License. But first, please read
<https://www.gnu.org/licenses/why-not-lgpl.html>.

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# spotify-explicit
## About
The purpose of this repository/project is to capture my liked songs from my Spotify account, and then create a stacked bar graph representing my explicit vs "clean" songs.
Yes, the project is super simple and doesn't have that much usefulness, but it's the first time I've genuinely used `matplotlib` or `logger` in a serious context and it was definitely interesting.
## Demonstration
![Output Matplotlib Stacked Bar-graph](./graph.png)
---
```css
> python main.py
INFO:root:Pulling data from Spotify
INFO:root:Authorizing with Spotify via Spotipy
WARNING:root:May require User Interaction to authenticate properly!
INFO:root:Authorized with Spotify via Spotipy
WARNING:root:Clearing all files in tracks folder for new files
INFO:root:Cleared folder, ready to download new track files
INFO:root:Requesting 0 to 50
INFO:root:Received 0 to 50
INFO:root:Saved at "\tracks\saved-tracks-0-50.json" (150K)
INFO:root:Requesting 50 to 100
INFO:root:Received 50 to 100
INFO:root:Saved at "\tracks\saved-tracks-50-100.json" (151K)
INFO:root:Requesting 100 to 150
INFO:root:Received 100 to 150
INFO:root:Saved at "\tracks\saved-tracks-100-150.json" (146K)
INFO:root:Requesting 150 to 200
INFO:root:Received 150 to 200
INFO:root:Saved at "\tracks\saved-tracks-150-200.json" (147K)
INFO:root:Requesting 200 to 250
INFO:root:Received 200 to 250
INFO:root:Saved at "\tracks\saved-tracks-200-250.json" (146K)
INFO:root:Requesting 250 to 300
INFO:root:Received 250 to 300
INFO:root:Saved at "\tracks\saved-tracks-250-300.json" (137K)
INFO:root:Requesting 300 to 350
INFO:root:Received 300 to 350
INFO:root:Saved at "\tracks\saved-tracks-300-350.json" (140K)
INFO:root:Requesting 350 to 400
INFO:root:Received 350 to 400
INFO:root:Saved at "\tracks\saved-tracks-350-400.json" (149K)
INFO:root:Requesting 400 to 450
INFO:root:Received 400 to 450
INFO:root:Saved at "\tracks\saved-tracks-400-450.json" (140K)
INFO:root:Requesting 450 to 500
INFO:root:Received 450 to 500
INFO:root:Saved at "\tracks\saved-tracks-450-500.json" (149K)
INFO:root:Requesting 500 to 550
INFO:root:Received 500 to 550
INFO:root:Saved at "\tracks\saved-tracks-500-550.json" (137K)
INFO:root:Requesting 550 to 600
INFO:root:Received 550 to 600
INFO:root:Saved at "\tracks\saved-tracks-550-600.json" (137K)
INFO:root:Requesting 600 to 650
INFO:root:Received 600 to 650
INFO:root:Saved at "\tracks\saved-tracks-600-650.json" (135K)
INFO:root:Requesting 650 to 700
INFO:root:Received 650 to 700
INFO:root:Saved at "\tracks\saved-tracks-650-700.json" (140K)
INFO:root:Requesting 700 to 750
INFO:root:Received 700 to 750
INFO:root:Saved at "\tracks\saved-tracks-700-750.json" (134K)
INFO:root:Requesting 750 to 800
INFO:root:Received 750 to 800
INFO:root:Saved at "\tracks\saved-tracks-750-800.json" (137K)
INFO:root:Requesting 800 to 850
INFO:root:Received 800 to 850
INFO:root:Saved at "\tracks\saved-tracks-800-850.json" (132K)
INFO:root:Requesting 850 to 900
INFO:root:Received 850 to 900
INFO:root:Saved at "\tracks\saved-tracks-850-900.json" (143K)
INFO:root:Requesting 900 to 950
INFO:root:Received 900 to 919
INFO:root:Saved at "\tracks\saved-tracks-900-919.json" (55K)
INFO:root:Requested and saved 919 tracks split over 19 files (2 MB)
INFO:root:Reading track files
INFO:root:Read and parse 19 track files
INFO:root:Combining into single track file for ease of access
INFO:root:File combined with 919 items
INFO:root:Processing file...
INFO:root:Processed data, creating plot from data
INFO:root:Saving the figure to the 'export' folder
INFO:root:Showing plot to User
>
```
# Requirements
The requirements for this project are outlined in the [requirements.txt](requirements.txt) file.
You can use the `pip` tool to instantly download and install all required modules via `pip install -r requirements.txt`.
## License
This project uses the GNU General Public License, see the [LICENSE](./LICENSE) file for more information.

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import logging, sys, os, json
# Path to API Credentials file
PATH = os.path.join(sys.path[0], 'auth.json')
# Ensure the file exists, if not, generate one and error with a reason
if not os.path.exists(PATH):
with open(PATH, 'w') as file:
# Dump a pretty-printed dictionary with default values
json.dump(
{
'USERNAME' : 'Your Username Here',
'CLIENT_ID' : 'Your Client ID Here',
'CLIENT_SECRET' : 'Your Client Secret Here',
'REDIRECT_URI' : 'Your Redirect URI Callback Here',
'SCOPE' : ['Your Scopes Here']
},
file,
indent=3
)
# Error critically, then exit
logging.critical("No \'auth.json\' file detected, one has been created for you")
logging.critical("Please fill out with your Spotify credentials, and then restart the program")
sys.exit()
# Open and parse file
FILE = json.load(open(PATH, 'r'))
# Load all configuration variables
USERNAME = FILE['USERNAME']
CLIENT_ID = FILE['CLIENT_ID']
CLIENT_SECRET = FILE['CLIENT_SECRET']
REDIRECT_URI = FILE['REDIRECT_URI']
SCOPE = ' '.join(FILE['SCOPE'])

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import os
import sys
import time
import json
import auth
import pull
import process
import logging
def main():
logging.basicConfig(level=logging.INFO)
logging.info('Pulling data from Spotify')
refresh()
process.main()
# Refreshes tracks from files if the token from Spotipy has expired,
# thus keeping us up to date in most cases while keeping rate limits
def refresh():
file_path = os.path.join(sys.path[0], f'.cache-{auth.USERNAME}')
if os.path.exists(file_path):
cache = json.load(open(file_path, 'r'))
if True or time.time() > cache['expires_at']:
logging.info('Refreshing Spotify data by pulling tracks, this may take a moment.')
pull.main()
else:
logging.info('Spotify data deemed to be recent enough (under {} seconds old)'.format(cache['expires_in']))
else:
pull.main()
main()

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import os
import sys
import json
import logging
import datetime
import collections
import numpy as np
import dateutil.parser
import PIL.Image as Image
import matplotlib.pyplot as plt
# Gets all files in tracks folder, returns them in parsed JSON
def get_files():
folder = os.path.join(sys.path[0], 'tracks')
files = []
for file in os.listdir(folder):
with open(os.path.join(os.path.join(folder, file))) as file:
files.append(
json.load(file)
)
return files
# Simple function to combine a bunch of items from different files
def combine_files(files):
items = []
for file in files:
items.extend(file['items'])
return items
# Prints the data in a interesting format
def print_data(data):
for i, item in enumerate(data):
date = dateutil.parser.parse(item['added_at'])
explicit = '!' if item['track']['explicit'] else ' '
track_name = item['track']['name']
artists = ' & '.join(artist['name'] for artist in item['track']['artists'])
print('[{}] {} "{}" by {}'.format(date, explicit, track_name, artists))
def process_data(data):
# Process the data by Month/Year, then by Clean/Explicit
scores = {}
for item in data:
date = dateutil.parser.parse(item['added_at']).strftime('%b %Y')
if date not in scores.keys():
scores[date] = [0, 0]
scores[date][1 if item['track']['explicit'] else 0] += 1
# Create simplified arrays for each piece of data
months = list(scores.keys())[::-1]
clean, explicit = [], []
for item in list(scores.values())[::-1]:
clean.append(item[0])
explicit.append(item[1])
# Done processing date properly, start plotting work
logging.info('Processed data, creating plot from data')
# Weird numpy stuff
n = len(scores.values())
ind = np.arange(n)
width = 0.55
# Resizer figuresize to be 2.0 wider
plt.figure(figsize=(10.0, 6.0))
# Stacked Bars
p1 = plt.bar(ind, explicit, width)
p2 = plt.bar(ind, clean, width, bottom=explicit) # bottom= just has the bar sit on top of the explicit
# Plot labeling
plt.title('Song Count by Clean/Explicit')
plt.ylabel('Song Count')
plt.xlabel('Month')
plt.xticks(ind, months, rotation=270) # Rotation 90 will have the
plt.legend((p1[0], p2[0]), ('Explicit', 'Clean'))
fig = plt.gcf() # Magic to save to image and then show
# Save the figure, overwriting anything in your way
logging.info('Saving the figure to the \'export\' folder')
export_folder = os.path.join(sys.path[0], 'export')
if not os.path.exists(export_folder):
os.makedirs(export_folder)
plt.tight_layout()
fig.savefig(
os.path.join(
export_folder,
'export'
# datetime.datetime.now().strftime('%Y-%m-%d %H-%M-%S')
),
dpi=100,
quality=95
)
# Finally show the figure to
logging.info('Showing plot to User')
# plt.show()
# Copy the figure to your clipboard to paste in Excel
# logging.info('Copying the plot data to clipboard')
# copy(months, clean, explicit)
# Simple method for exporting data to a table like format
# Will paste into Excel very easily
def copy(months, clean, explicit):
from pyperclip import copy
top = 'Period\tClean\tExplicit\n'
copy(top + '\n'.join([
f'{item[0]}\t{item[1]}\t{item[2]}' for item in zip(months, clean, explicit)
]))
def main():
# logging.basicConfig(level=logging.INFO)
logging.info("Reading track files")
files = get_files()
logging.info(f"Read and parse {len(files)} track files")
logging.info("Combining into single track file for ease of access")
data = combine_files(files)
data.sort(key=lambda item : dateutil.parser.parse(item['added_at']).timestamp(), reverse=True)
logging.info(f'File combined with {len(data)} items')
logging.info('Processing file...')
process_data(data)

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import os
import sys
import auth
import json
import shutil
import pprint
import spotipy
import logging
from hurry.filesize import size, alternative
import spotipy.util as util
def main():
# Get Authorization
logging.basicConfig(level=logging.INFO)
logging.info('Authorizing with Spotify via Spotipy')
logging.warning('May require User Interaction to authenticate properly!')
token = util.prompt_for_user_token(
username=auth.USERNAME,
scope=auth.SCOPE,
client_id=auth.CLIENT_ID,
client_secret=auth.CLIENT_SECRET,
redirect_uri=auth.REDIRECT_URI
)
sp = spotipy.Spotify(auth=token)
logging.info('Authorized with Spotify via Spotipy')
tracks_folder = os.path.join(sys.path[0], 'tracks')
logging.warning('Clearing all files in tracks folder for new files')
if os.path.exists(tracks_folder):
shutil.rmtree(tracks_folder) # Delete folder and all contents (old track files)
os.makedirs(tracks_folder) # Recreate the folder just deleted
logging.info('Cleared folder, ready to download new track files')
curoffset, curlimit = 0, 50
while curoffset >= 0:
# Request and identify what was received
logging.info('Requesting {} to {}'.format(curoffset, curoffset + curlimit))
response = sp.current_user_saved_tracks(limit=curlimit, offset=curoffset)
received = len(response['items'])
logging.info('Received {} to {}'.format(curoffset, curoffset + received))
# Create path/filename
filename = f'saved-tracks-{curoffset}-{curoffset + received}.json'
filepath = os.path.join(tracks_folder, filename)
# Save track file
with open(filepath, 'w+') as file:
json.dump(response, file)
logging.info('Saved at "{}" ({})'.format(
f'\\tracks\\{filename}',
size(os.path.getsize(filepath)))
)
# Decide whether we have received all possible tracks
if received < curlimit:
logging.info('Requested and saved {} tracks split over {} files ({})'.format(
curoffset + received,
len(os.listdir(tracks_folder)),
size(
sum(
os.path.getsize(os.path.join(tracks_folder, file)) for file in os.listdir(tracks_folder)
),
system=alternative
)
))
break
# Continuing, so increment offset
curoffset += curlimit

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{"last_generated": 1572327849}

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app/spotify_explicit/requirements.txt Normal file
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hurry.filesize
pyperclip
numpy
spotipy
matplotlib
Pillow
python_dateutil
hurry