197 lines
5.3 KiB
Python
Executable file
197 lines
5.3 KiB
Python
Executable file
#!/usr/bin/python3
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import os
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import json
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import subprocess
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import string
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from pi import random
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from keywords import KEYWORDS
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import ox
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import ox.web.auth
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base_url = 'https://cdosea.0x2620.org'
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api = None
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def get_api():
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global api
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if not api:
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api = ox.API(base_url + '/api/')
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api.signin(**ox.web.auth.get('cdosea'))
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if os.path.exists('PATHS.json'):
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PATHS = json.load(open('PATHS.json'))
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else:
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PATHS = {}
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if os.path.exists('CLIPS.json'):
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CLIPS = json.load(open('CLIPS.json'))
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else:
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CLIPS = {}
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def get_path(id):
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global PATHS
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if id not in PATHS:
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get_api()
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info = api.findMedia({
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'query': {
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'conditions': [
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{'key': 'id', 'operator': '==', 'value': id}
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]
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},
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'keys': ['id', 'extension'],
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'range': [0, 1]
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})['data']['items'][0]
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path = os.path.join('cache', '%s.%s' % (info['id'], info['extension']))
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if not os.path.exists(path):
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url = '%s/%s/download/source/' % (base_url, id)
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print('get video', url)
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PATHS[id] = path
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with open('PATHS.json', 'w') as fd:
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json.dump(PATHS, fd, indent=4, sort_keys=True)
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return PATHS[id]
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def get_clips(tag):
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global CLIPS
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if tag not in CLIPS:
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get_api()
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clips = api.findAnnotations({
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'query': {
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'conditions': [
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{'key': 'layer', 'operator': '==', 'value': 'keywords'},
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{'key': 'value', 'operator': '==', 'value': tag}
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],
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'operator': '&'
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},
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'keys': ['id', 'in', 'out'],
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'range': [0, 10000]})['data']['items']
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for clip in clips:
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clip['path'] = get_path(clip['id'].split('/')[0])
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clip['duration'] = clip['out'] - clip['in']
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clip['tag'] = tag
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CLIPS[tag] = list(sorted(clips, key=lambda c: c['id']))
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with open('CLIPS.json', 'w') as fd:
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json.dump(CLIPS, fd, indent=4, sort_keys=True)
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return CLIPS[tag]
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def random_choice(seq, items):
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n = n_ = len(items) - 1
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print('len', n)
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if n == 0:
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return items[0]
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r = seq()
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base = 10
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while n > 10:
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n /= 10
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print(r)
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r += seq()
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base += 10
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r = int(n_ * r / base)
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print('result', r, items)
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return items[r]
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def splitint(number, by):
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div = int(number/by)
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mod = number % by
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return [div + 1 if i > (by - 1 - mod) else div for i in range(by)]
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def filter_clips(clips, duration, max_duration=0):
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# 1 minute
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blur = 0.5
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low = 1
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high = 10
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# 2 minute
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blur = 1
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low = 2
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high = 20
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buckets = {}
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clips_ = []
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for tag in clips:
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for clip in clips[tag]:
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clip['tag'] = tag
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clips_.append(clip)
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clips_.sort(key=lambda c: c['duration'])
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print(clips_)
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size = splitint(len(clips_), 10)
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p = 0
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for i in range(10):
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buckets[i+1] = clips_[p:+p+size[i]]
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p += size[i]
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clips_ = {}
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print(buckets[duration])
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for clip in buckets[duration]:
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if clip['tag'] not in clips_:
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clips_[clip['tag']] = []
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clips_[clip['tag']].append(clip)
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return clips_
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def sequence(seq, letter):
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tags = KEYWORDS[letter]
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clips = {tag: get_clips(tag) for tag in tags}
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result = {
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'clips': [],
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'text': [],
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}
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duration = 0
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MAX_DURATION = 65 * 2
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MIN_DURATION = 56 * 2
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while duration < MAX_DURATION and not duration >= MIN_DURATION:
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# clip duration: 1-10
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n = seq()
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if n == 0:
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n = 10
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max_duration = MAX_DURATION - duration
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clips_n = filter_clips(clips, n, max_duration)
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tags_n = list(sorted(clips_n.keys()))
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if not tags_n:
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print('NO tags for', letter, n)
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tag = random_choice(seq, tags_n)
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#if 'tiger' in tags_n:
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# tag = 'tiger'
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clip = random_choice(seq, clips_n[tag])
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duration += clip['duration']
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result['clips'].append(clip.copy())
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for clip in result['clips']:
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if seq() == 0:
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clip['black'] = True
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position = last_text = 0
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while position < duration:
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n = seq()
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if n == 0:
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blank = {'blank': True, 'duration': position - last_text}
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result['text'].append(blank)
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n = seq()
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if n == 0:
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n = 10
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n = min(n, duration-position)
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text = {
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'text': random_choice(seq, tags_n),
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'duration': n
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}
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result['text'].append(text)
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position += n
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last_text = position
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else:
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position += n
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if last_text < duration:
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blank = {'blank': True, 'duration': duration - last_text}
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result['text'].append(blank)
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return result
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if __name__ == '__main__':
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for n in range(10):
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seq = random(n)
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#for letter in string.ascii_uppercase:
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for letter in ('T', 'W'):
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r = sequence(seq, letter)
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tjson = 'output/%s%d.json' % (letter, n)
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with open(tjson, 'w') as fd:
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json.dump(r, fd, indent=4, sort_keys=True)
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print(json.dumps(r, indent=4, sort_keys=True))
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#print(sum([c['duration'] for c in r['clips']]))
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subprocess.call(['./render_mlt.py', tjson])
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