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109 lines
3.8 KiB
Python
109 lines
3.8 KiB
Python
"""Peewee migrations -- 003_create_recordings_table.py.
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Some examples (model - class or model name)::
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> Model = migrator.orm['model_name'] # Return model in current state by name
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> migrator.sql(sql) # Run custom SQL
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> migrator.python(func, *args, **kwargs) # Run python code
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> migrator.create_model(Model) # Create a model (could be used as decorator)
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> migrator.remove_model(model, cascade=True) # Remove a model
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> migrator.add_fields(model, **fields) # Add fields to a model
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> migrator.change_fields(model, **fields) # Change fields
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> migrator.remove_fields(model, *field_names, cascade=True)
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> migrator.rename_field(model, old_field_name, new_field_name)
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> migrator.rename_table(model, new_table_name)
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> migrator.add_index(model, *col_names, unique=False)
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> migrator.drop_index(model, *col_names)
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> migrator.add_not_null(model, *field_names)
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> migrator.drop_not_null(model, *field_names)
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> migrator.add_default(model, field_name, default)
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"""
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from concurrent.futures import as_completed, ThreadPoolExecutor
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import datetime as dt
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import peewee as pw
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from decimal import ROUND_HALF_EVEN
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import random
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import string
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import os
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import subprocess as sp
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import glob
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import re
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try:
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import playhouse.postgres_ext as pw_pext
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except ImportError:
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pass
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from frigate.const import RECORD_DIR
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from frigate.models import Recordings
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SQL = pw.SQL
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def migrate(migrator, database, fake=False, **kwargs):
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migrator.create_model(Recordings)
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def backfill():
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# First add the index here, because there is a bug in peewee_migrate
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# when trying to create an multi-column index in the same migration
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# as the table: https://github.com/klen/peewee_migrate/issues/19
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Recordings.add_index("start_time", "end_time")
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Recordings.create_table()
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# Backfill existing recordings
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files = glob.glob(f"{RECORD_DIR}/*/*/*/*/*.mp4")
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def probe(path):
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ffprobe_cmd = [
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"ffprobe",
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"-v",
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"error",
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"-show_entries",
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"format=duration",
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"-of",
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"default=noprint_wrappers=1:nokey=1",
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path,
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]
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p = sp.run(ffprobe_cmd, capture_output=True)
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if p.returncode == 0:
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return float(p.stdout.decode().strip())
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else:
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os.remove(path)
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return 0
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with ThreadPoolExecutor() as executor:
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future_to_path = {executor.submit(probe, path): path for path in files}
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for future in as_completed(future_to_path):
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path = future_to_path[future]
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duration = future.result()
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rand_id = "".join(
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random.choices(string.ascii_lowercase + string.digits, k=6)
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)
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search = re.search(
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r".+/(\d{4}[-]\d{2})/(\d{2})/(\d{2})/(.+)/(\d{2})\.(\d{2}).mp4",
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path,
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)
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if not search:
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return False
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date = f"{search.group(1)}-{search.group(2)} {search.group(3)}:{search.group(5)}:{search.group(6)}"
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start = dt.datetime.strptime(date, "%Y-%m-%d %H:%M:%S")
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end = start + dt.timedelta(seconds=duration)
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Recordings.create(
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id=f"{start.timestamp()}-{rand_id}",
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camera=search.group(4),
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path=path,
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start_time=start.timestamp(),
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end_time=end.timestamp(),
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duration=duration,
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)
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migrator.python(backfill)
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def rollback(migrator, database, fake=False, **kwargs):
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migrator.remove_model(Recordings)
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