Lars
934b915357
- Updated the `get_activity_detail` function to include session metrics in the activity detail output, allowing for enriched data representation. - Refactored the activity import logic to streamline the process of inserting and updating activity records, utilizing new helper functions for better maintainability. - Improved the handling of duplicate activity entries by implementing a more robust identification mechanism. - Enhanced the metadata for activity detail registration to reflect the inclusion of EAV metrics and updated source tables.
31 lines
950 B
Python
31 lines
950 B
Python
"""
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Einheitliche Startzeit-Normalisierung für Aktivität (CSV, Legacy-Import, Dedupe).
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Anbieter-agnostisch: beliebige ISO-/Export-Strings über dateutil.
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"""
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from __future__ import annotations
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from datetime import time as dt_time
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from typing import Optional
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from dateutil import parser as du_parser
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def normalize_activity_start(start_raw: str) -> tuple[str, Optional[dt_time]]:
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"""
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Roh-String „Start“ aus Exporten → (YYYY-MM-DD, TIME ohne μs) für DB Dedupe/INSERT.
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Leerer Input → ("", None). Fallback bei Parse-Fehler: erstes Datum aus ersten 10 Zeichen.
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"""
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s = (start_raw or "").strip()
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if not s:
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return "", None
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try:
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parsed = du_parser.parse(s, dayfirst=False)
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t = parsed.time().replace(microsecond=0)
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return parsed.date().isoformat(), t
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except (ValueError, TypeError, OverflowError):
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if len(s) >= 10:
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return s[:10], None
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return "", None
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