48 lines
1.5 KiB
Python
48 lines
1.5 KiB
Python
from collections.abc import Iterator
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from pathlib import Path
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from typing import Any
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from personal_data.activity import ActivitySample, Label
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from personal_data.csv_import import determine_possible_keys, load_csv_file, start_end
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def iterate_samples_from_dicts(rows: list[dict[str, Any]]) -> Iterator[ActivitySample]:
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assert len(rows) > 0
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max_title_parts = 2
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if True:
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event_data = rows[len(rows) // 2] # Hopefully select a useful representative.
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possible_keys = determine_possible_keys(event_data)
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del event_data
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assert len(possible_keys.time_start) + len(possible_keys.time_end) >= 1
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assert len(possible_keys.image) >= 0
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for event_data in rows:
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"""
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title = ': '.join(event_data[k] for k in possible_name_keys[:max_title_parts])
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description = '\n\n'.join(
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event_data[k] for k in possible_name_keys[max_title_parts:]
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)
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image = event_data[possible_keys.image[0]] if possible_keys.image else None
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"""
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(start_at, end_at) = start_end(event_data, possible_keys)
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labels = [Label(k, event_data[k]) for k in possible_keys.misc]
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# Create event
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yield ActivitySample(
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labels=tuple(labels),
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start_at=start_at,
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end_at=end_at,
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)
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del event_data
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def iterate_samples_from_csv_file(file_path: Path) -> Iterator[ActivitySample]:
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dicts = load_csv_file(file_path)
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samples = list(iterate_samples_from_dicts(dicts))
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assert len(samples) > 0, 'Did not found any samples'
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yield from samples
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