Created
August 27, 2015 13:52
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Python script to generate scrobbling stats page
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| # -*- coding: utf-8 -*- | |
| import datetime | |
| import matplotlib | |
| import codecs | |
| # history downloaded with lastexport.py https://gist.github.com/bitmorse/5201491 | |
| fp = codecs.open("tracks.txt", "r", "utf8") | |
| albums = {} | |
| artists = {} | |
| songs = {} | |
| plotdata = {} | |
| data = [] | |
| date1 = None | |
| date2 = None | |
| for line in fp.readlines(): | |
| line = line.split("\t") | |
| time = line[0] | |
| song = line[1] | |
| artist = line[2] | |
| album = line[3] | |
| if artist.startswith(u"若"): artist = "Hajime Wakai" | |
| if artist.startswith(u"中"): artist = "Megumi Nakajima" | |
| if artist.startswith(u"近"): artist = "Koji Kondo" | |
| if artist.startswith(u"山"): artist = "Michiru Yamane" | |
| if artist.startswith(u"任"): artist = "Nintendo" | |
| if artist.startswith(u"広"): artist = "Kohmi Hirose" | |
| time = datetime.datetime.utcfromtimestamp(int(time)) | |
| time = datetime.datetime(time.year, time.month, 1) | |
| if date1 is None: | |
| date1 = time | |
| date2 = time | |
| else: | |
| date1 = min(date1, time) | |
| date2 = max(date2, time) | |
| data.append((time, song, artist, album)) | |
| # hack | |
| date2 = datetime.datetime(date2.year, date2.month + 1, 1) | |
| for (time, song, artist, album) in data: | |
| artists[artist] = artists.get(artist, 0) + 1 | |
| songs[(artist, song)] = songs.get((artist, song), 0) + 1 | |
| albums[(artist, album)] = albums.get((artist, album), 0) + 1 | |
| def plotify(artistname, songname, albumname, filename): | |
| import matplotlib.dates | |
| import matplotlib.pyplot | |
| matplotlib.pyplot.clf() | |
| plotdata = {} | |
| for (time, song, artist, album) in data: | |
| if (songname is None or songname == song) and \ | |
| (artistname is None or artistname == artist) and \ | |
| (albumname is None or albumname == album): | |
| plotdata[time] = plotdata.get(time, 0) + 1 | |
| plotx = [] | |
| ploty = [] | |
| for dt, cnt in sorted(plotdata.items()): | |
| plotx.append(dt) | |
| ploty.append(cnt) | |
| fig = matplotlib.pyplot.gcf() | |
| fig.set_size_inches(25, 5) | |
| matplotlib.pyplot.bar(plotx, ploty, width=20) | |
| matplotlib.pyplot.xlim([date1, date2]) | |
| if songname is None: | |
| if albumname is None: | |
| if artistname is None: | |
| matplotlib.pyplot.title("All songs") | |
| else: | |
| matplotlib.pyplot.title(u"%s (all songs)" % artistname) | |
| else: | |
| matplotlib.pyplot.title(u"%s - %s (album)" % (artistname, albumname)) | |
| else: | |
| matplotlib.pyplot.title(u"%s - %s (song)" % (artistname, songname)) | |
| matplotlib.pyplot.savefig(filename, bbox_inches="tight", dpi=70) | |
| matplotlib.pyplot.savefig(filename.replace(".png", "_thumb.png"), bbox_inches="tight", dpi=8) | |
| albums = [(c, v) for (v, c) in albums.items()] | |
| artists = [(c, v) for (v, c) in artists.items()] | |
| songs = [(c, v) for (v, c) in songs.items()] | |
| albums.sort(reverse=True) | |
| artists.sort(reverse=True) | |
| songs.sort(reverse=True) | |
| op = codecs.open("scrobbles.html", "w", "utf8") | |
| op.write("""<html><head> | |
| <meta charset="UTF-8"> | |
| <style>body, table { font-family: sans-serif; font-size: 14px; } | |
| table { border-collapse: collapse; } table, th, td { border: 1px solid black; padding: 2px; } | |
| td { max-width: 300px; }</style></head><body>""") | |
| op.write("<h2>Totals</h2>") | |
| op.write("<p>Scrobbles: %i</p>" % len(data)) | |
| op.write("<p>Artists: %i</p>" % len(artists)) | |
| op.write("<p>Albums: %i</p>" % len(albums)) | |
| op.write("<p>Songs: %i</p>" % len(songs)) | |
| plotify(None, None, None, "total.png") | |
| op.write("""<img src="total.png"/>""") | |
| op.write("<h2>Artists</h2>") | |
| op.write("<table>") | |
| for i in range(len(artists)): | |
| if artists[i][0] >= 10: | |
| print "artist", i | |
| op.write(u"<tr><td>%i</td> <td>%s</td> <td>%i</td> " % \ | |
| (i+1, artists[i][1], artists[i][0])) | |
| if i < 50: | |
| plotify(artists[i][1], None, None, "artists_%i.png" % i) | |
| op.write("""<td><a href="artists_%s.png"><img src="artists_%s_thumb.png"/></a></td></tr>\n""" % (i, i)) | |
| else: | |
| op.write("""<td></td></tr>\n""") | |
| op.write("</table>") | |
| op.write("<h2>Albums</h2>") | |
| op.write("<table>") | |
| for i in range(len(albums)): | |
| if albums[i][0] >= 10: | |
| print "album", i | |
| op.write(u"<tr><td>%i</td> <td>%s</td> <td>%s</td> <td>%i</td>\n" % \ | |
| (i+1, albums[i][1][0], albums[i][1][1], albums[i][0])) | |
| if i < 50: | |
| plotify(albums[i][1][0], None, albums[i][1][1], "albums_%i.png" % i) | |
| op.write("""<td><a href="albums_%s.png"><img src="albums_%s_thumb.png"/></a></td></tr>\n""" % (i, i)) | |
| else: | |
| op.write("""<td></td></tr>\n""") | |
| op.write("</table>") | |
| op.write("<h2>Songs</h2>") | |
| op.write("<table>") | |
| for i in range(len(songs)): | |
| if songs[i][0] >= 10: | |
| print "song", i | |
| op.write(u"<tr><td>%i</td> <td>%s</td> <td>%s</td> <td>%i</td>\n" % \ | |
| (i+1, songs[i][1][0], songs[i][1][1], songs[i][0])) | |
| if i < 50: | |
| plotify(songs[i][1][0], songs[i][1][1], None, "songs_%i.png" % i) | |
| op.write("""<td><a href="songs_%s.png"><img src="songs_%s_thumb.png"/></a></td></tr>\n""" % (i, i)) | |
| else: | |
| op.write("""<td></td></tr>\n""") | |
| op.write("</table>") | |
| op.write("</body></html>") |
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