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personal-data/git_time_tracker/source/csv_file.py

55 lines
1.7 KiB
Python

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