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- from datetime import datetime
- from million.analyze.find_holes import compute_sequences, find_holes
- from million.view.bar_chart import plot as bar_chart
- from million.analyze.count_participations import count_participations
- from million.analyze.retain_counts import retain_counts
- import million.parse.fb_exports as fb
-
-
- DATA_PATH = './data/'
-
- export = fb.parse_dirfiles(DATA_PATH)
-
- filtered = retain_counts(export.messages)
-
- sequences = compute_sequences(filtered)
-
- actual_counted = sum([s.end - s.start for s in sequences])
-
- print(f"Actual counted: {actual_counted}")
-
- holes = find_holes(filtered)
-
- print(len(holes))
-
- for hole in holes:
- print(f"{hole.start} - {hole.end} ({hole.end - hole.start})")
-
-
- # lets export a csv file of the holes and the people responsible for them
- with open('output/holes.csv', 'w') as f:
- f.write('début,fin,taille,responsable1,responsable2,date1,date2\n')
- for hole in holes:
- date_start = datetime.utcfromtimestamp(
- hole.start_message.timestamp_ms / 1000.0).strftime('%Y-%m-%d %H:%M:%S')
- date_end = datetime.utcfromtimestamp(
- hole.end_message.timestamp_ms / 1000.0).strftime('%Y-%m-%d %H:%M:%S')
- f.write(
- f"{hole.start},"
- f"{hole.end},"
- f"{hole.end - hole.start},"
- f"{hole.start_message.sender_name},"
- f"{hole.end_message.sender_name},"
- f"{date_start},{date_end}\n"
- )
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