Lars
04306a7fef
Implemented global quality_filter_level in user profiles for consistent data filtering across all views (Dashboard, History, Charts, KI-Pipeline). Backend changes: - Migration 016: Add quality_filter_level column to profiles table - quality_filter.py: Centralized helper functions for SQL filtering - insights.py: Apply global filter in _get_profile_data() - activity.py: Apply global filter in list_activity() Frontend changes: - SettingsPage.jsx: Add Datenqualität section with 4-level selector - History.jsx: Use global quality filter from profile context Filter levels: all, quality (good+excellent+acceptable), very_good (good+excellent), excellent (only excellent) Closes #31 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
126 lines
3.6 KiB
Python
126 lines
3.6 KiB
Python
"""
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Quality Filter Helper - Data Access Layer
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Provides consistent quality filtering across all activity queries.
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Issue: #31
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"""
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from typing import Optional, Dict
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def get_quality_filter_sql(profile: Dict, table_alias: str = "") -> str:
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"""
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Returns SQL WHERE clause fragment for quality filtering.
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Args:
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profile: User profile dict with quality_filter_level
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table_alias: Optional table alias (e.g., "a." for "a.quality_label")
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Returns:
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SQL fragment (e.g., "AND quality_label IN (...)") or empty string
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Examples:
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>>> get_quality_filter_sql({'quality_filter_level': 'all'})
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''
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>>> get_quality_filter_sql({'quality_filter_level': 'quality'})
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"AND quality_label IN ('excellent', 'good', 'acceptable')"
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>>> get_quality_filter_sql({'quality_filter_level': 'excellent'}, 'a.')
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"AND a.quality_label = 'excellent'"
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"""
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level = profile.get('quality_filter_level', 'all')
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prefix = table_alias if table_alias else ""
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if level == 'all':
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return '' # No filter
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elif level == 'quality':
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return f"AND {prefix}quality_label IN ('excellent', 'good', 'acceptable')"
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elif level == 'very_good':
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return f"AND {prefix}quality_label IN ('excellent', 'good')"
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elif level == 'excellent':
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return f"AND {prefix}quality_label = 'excellent'"
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else:
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# Unknown level → no filter (safe fallback)
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return ''
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def get_quality_filter_tuple(profile: Dict) -> tuple:
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"""
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Returns tuple of allowed quality labels for Python filtering.
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Args:
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profile: User profile dict with quality_filter_level
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Returns:
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Tuple of allowed quality labels or None (no filter)
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Examples:
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>>> get_quality_filter_tuple({'quality_filter_level': 'all'})
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None
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>>> get_quality_filter_tuple({'quality_filter_level': 'quality'})
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('excellent', 'good', 'acceptable')
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"""
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level = profile.get('quality_filter_level', 'all')
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if level == 'all':
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return None # No filter
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elif level == 'quality':
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return ('excellent', 'good', 'acceptable')
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elif level == 'very_good':
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return ('excellent', 'good')
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elif level == 'excellent':
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return ('excellent',)
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else:
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return None # Unknown level → no filter
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def filter_activities_by_quality(activities: list, profile: Dict) -> list:
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"""
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Filters a list of activity dicts by quality_label.
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Useful for post-query filtering (e.g., when data already loaded).
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Args:
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activities: List of activity dicts with quality_label field
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profile: User profile dict with quality_filter_level
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Returns:
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Filtered list of activities
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"""
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allowed_labels = get_quality_filter_tuple(profile)
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if allowed_labels is None:
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return activities # No filter
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return [
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act for act in activities
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if act.get('quality_label') in allowed_labels
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]
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# Constants for frontend/documentation
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QUALITY_LEVELS = {
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'all': {
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'label': 'Alle',
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'icon': '📊',
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'description': 'Alle Activities (kein Filter)',
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'includes': None
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},
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'quality': {
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'label': 'Hochwertig',
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'icon': '✓',
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'description': 'Hochwertige Activities',
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'includes': ['excellent', 'good', 'acceptable']
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},
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'very_good': {
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'label': 'Sehr gut',
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'icon': '✓✓',
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'description': 'Sehr gute Activities',
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'includes': ['excellent', 'good']
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},
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'excellent': {
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'label': 'Exzellent',
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'icon': '⭐',
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'description': 'Nur exzellente Activities',
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'includes': ['excellent']
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}
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}
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