if len(sys.argv) > 2:
collectionDBfp = sys.argv[2]
if len(sys.argv) > 3:
scoresDBfp = sys.argv[3]
COLLECTIONS_FP = collectionDBfp
osuDb = open(osuDBfp, 'rb')
collectionsDb = open(collectionDBfp, 'rb')
scoresDb = open(scoresDBfp, 'rb')
collections = dbparse.parseCollectionsDb(collectionsDb.read())
beatmaps = dbparse.parseOsuDb(osuDb.read())
scores = dbparse.parseScoresDb(scoresDb.read())
# transform scores to be slightly easier to work with
scores = {bm['file_md5']: bm for bm in scores['beatmaps']}
# add some extra fields to the beatmaps dictionary
for md5 in beatmaps['beatmaps']:
if md5 not in scores:
beatmaps['beatmaps'][md5]['top_rank'] = 'F'
beatmaps['beatmaps'][md5]['top_combo'] = 0
beatmaps['beatmaps'][md5]['top_accuracy'] = 0
beatmaps['beatmaps'][md5]['passes'] = 0
continue
sortedScores = sorted(scores[md5]['scores'], key=lambda s: -s['score'])
bestScore = sortedScores[0]
import dbparse
import json
scoredb = dbparse.parseScoresDb(open('data/scores.db').read())
beatmapdb = dbparse.parseOsuDb(open('data/osu!.db').read())
for beatmap in scoredb['beatmaps']:
if beatmap['file_md5'] not in beatmapdb['beatmaps']:
print beatmap['file_md5'] + ' not in local beatmaps'
continue
db = beatmapdb['beatmaps'][beatmap['file_md5']]
for key in db:
beatmap[key] = db[key]
json.dump(scoredb, open('data/scores_aug.json', 'w'), indent=4)
if len(sys.argv) > 2:
collectionDBfp = sys.argv[2]
if len(sys.argv) > 3:
scoresDBfp = sys.argv[3]
COLLECTIONS_FP = collectionDBfp
osuDb = open(osuDBfp, 'rb')
collectionsDb = open(collectionDBfp, 'rb')
scoresDb = open(scoresDBfp, 'rb')
collections = dbparse.parseCollectionsDb(collectionsDb.read())
beatmaps = dbparse.parseOsuDb(osuDb.read())
scores = dbparse.parseScoresDb(scoresDb.read())
# transform scores to be slightly easier to work with
scores = {bm['file_md5']: bm for bm in scores['beatmaps']}
# add some extra fields to the beatmaps dictionary
for md5 in beatmaps['beatmaps']:
if md5 not in scores:
beatmaps['beatmaps'][md5]['top_rank'] = 'F'
beatmaps['beatmaps'][md5]['top_combo'] = 0
beatmaps['beatmaps'][md5]['top_accuracy'] = 0
beatmaps['beatmaps'][md5]['passes'] = 0
continue
sortedScores = sorted(scores[md5]['scores'], key=lambda s:-s['score'])
bestScore = sortedScores[0]
