- fix: main.exe에서 통계 차트 안 뜨던 문제 (backend_qt5agg→backend_qtagg 우선 import + spec 보강 + 실패 로깅) - fix: 통계/도움말/도전과제 + 차트가 라이트 테마에서도 다크 고정 → 현재 테마(ThemeColors) 추종 - dark_components/chart_widget를 테마 인식형으로 리팩터 (등급 카드·차트 막대 등 강조색은 유지) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
268 lines
10 KiB
Python
268 lines
10 KiB
Python
"""
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matplotlib 기반 차트 위젯.
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stats_view에서 주간/월간 추세를 시각화. matplotlib 미설치 시
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ImportError 안내 라벨로 fallback.
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"""
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from typing import List, Tuple
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from PyQt5.QtWidgets import QWidget, QVBoxLayout, QLabel
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from PyQt5.QtCore import Qt
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try:
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import matplotlib
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from matplotlib.figure import Figure
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# frozen(main.exe) 빌드는 PyInstaller matplotlib hook이 'QtAgg'(backend_qtagg)만
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# 번들함 → backend_qt5agg import가 실패해 차트가 안 뜨던 문제.
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# 번들된 backend_qtagg를 우선 사용하고, 구버전(dev) 호환으로 qt5agg 폴백.
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try:
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from matplotlib.backends.backend_qtagg import FigureCanvasQTAgg as FigureCanvas
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except Exception:
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from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
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matplotlib.rcParams['font.family'] = ['NanumSquare', 'Malgun Gothic', 'Apple SD Gothic Neo', 'sans-serif']
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matplotlib.rcParams['axes.unicode_minus'] = False
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_MPL = True
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except Exception as _mpl_err:
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# ImportError 외 backend/sip 로딩 오류도 폴백 처리 + 실제 원인 기록(진단용)
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_MPL = False
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try:
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from utils.debug_log import dlog
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dlog(f"chart_widget: matplotlib unavailable: {type(_mpl_err).__name__}: {_mpl_err}")
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except Exception:
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pass
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# 차트 색상 — 배경/그리드/텍스트는 현재 테마를 따름(_refresh_chart_colors),
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# 막대/선은 데이터 구분용 고정 색.
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_CHART_BG = '#25262B'
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_CHART_GRID = '#2C2E33'
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_CHART_TEXT = '#909296'
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_CHART_BAR_NORMAL = '#4DABF7' # accent blue
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_CHART_BAR_OVERTIME = '#ff90b8' # pink (데이터 구분용)
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_CHART_BAR_WEEKEND = '#fcd34d' # gold (데이터 구분용)
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_CHART_AVG_LINE = '#51CF66' # green
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def _refresh_chart_colors() -> None:
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"""배경/그리드/텍스트 색을 현재 앱 테마로 갱신 (라이트/다크 추종)."""
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global _CHART_BG, _CHART_GRID, _CHART_TEXT
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try:
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from ui.styles import ThemeColors
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_CHART_BG = ThemeColors.get('bg_secondary')
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_CHART_GRID = ThemeColors.get('border_subtle')
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_CHART_TEXT = ThemeColors.get('text_secondary')
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except Exception:
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pass
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def _apply_dark_axes(ax) -> None:
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"""차트 ax에 다크 테마 적용 — 텍스트, 그리드, spines, 배경."""
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ax.set_facecolor(_CHART_BG)
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ax.tick_params(axis='both', colors=_CHART_TEXT)
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ax.xaxis.label.set_color(_CHART_TEXT)
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ax.yaxis.label.set_color(_CHART_TEXT)
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ax.title.set_color(_CHART_TEXT)
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for spine in ax.spines.values():
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spine.set_color(_CHART_GRID)
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ax.grid(axis='y', alpha=0.25, color=_CHART_GRID)
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def _apply_dark_figure(fig) -> None:
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"""figure 배경을 현재 테마 톤으로 (모든 draw_* 진입점에서 호출됨)."""
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_refresh_chart_colors()
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fig.patch.set_facecolor(_CHART_BG)
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class _Fallback(QWidget):
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"""matplotlib 미설치 시 안내."""
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def __init__(self, message: str):
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super().__init__()
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layout = QVBoxLayout()
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label = QLabel(message)
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label.setAlignment(Qt.AlignCenter)
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label.setWordWrap(True)
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label.setStyleSheet("color: #909296; padding: 20px;")
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layout.addWidget(label)
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self.setLayout(layout)
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def make_chart_widget(parent=None) -> QWidget:
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"""차트가 그려질 빈 캔버스 위젯. matplotlib 없으면 fallback."""
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if not _MPL:
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return _Fallback("차트 표시에는 matplotlib가 필요합니다.\npip install matplotlib")
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_refresh_chart_colors()
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widget = QWidget(parent)
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widget.setStyleSheet(f"background: {_CHART_BG}; border-radius: 8px;")
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layout = QVBoxLayout()
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layout.setContentsMargins(0, 0, 0, 0)
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fig = Figure(figsize=(5, 3), dpi=100, tight_layout=True, facecolor=_CHART_BG)
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canvas = FigureCanvas(fig)
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canvas.setStyleSheet(f"background: {_CHART_BG};")
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layout.addWidget(canvas)
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widget.setLayout(layout)
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widget._figure = fig
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widget._canvas = canvas
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return widget
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def draw_daily_hours(widget: QWidget, records: List[dict]) -> None:
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"""일별 근무시간 막대 그래프 (호버 시 정확한 수치 툴팁)."""
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if not getattr(widget, '_figure', None):
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return
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fig = widget._figure
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fig.clear()
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_apply_dark_figure(fig)
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if not records:
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ax = fig.add_subplot(111)
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_apply_dark_axes(ax)
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ax.text(0.5, 0.5, '기록 없음', ha='center', va='center',
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transform=ax.transAxes, color=_CHART_TEXT, fontsize=11)
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widget._canvas.draw()
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return
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dates = [r['date'][5:] for r in records] # MM-DD만
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full_dates = [r['date'] for r in records]
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hours = [r.get('total_hours', 0) or 0 for r in records]
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overtimes = [(r.get('overtime_minutes', 0) or 0) / 60 for r in records]
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base = [max(h - o, 0) for h, o in zip(hours, overtimes)]
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ax = fig.add_subplot(111)
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bars_base = ax.bar(dates, base, label='정상', color=_CHART_BAR_NORMAL)
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bars_ot = ax.bar(dates, overtimes, bottom=base, label='연장',
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color=_CHART_BAR_OVERTIME)
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ax.set_ylabel('시간')
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legend = ax.legend(loc='upper left', fontsize=8, facecolor=_CHART_BG,
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edgecolor=_CHART_GRID, labelcolor=_CHART_TEXT)
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ax.tick_params(axis='x', labelrotation=45, labelsize=8)
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_apply_dark_axes(ax)
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# 호버 annotation 설정
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annot = ax.annotate(
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"", xy=(0, 0), xytext=(15, 15),
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textcoords="offset points",
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bbox=dict(boxstyle="round,pad=0.4", fc="#1a1a26", ec=_CHART_BAR_NORMAL,
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alpha=0.95),
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color="white", fontsize=9,
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arrowprops=dict(arrowstyle="->", color=_CHART_BAR_NORMAL),
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)
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annot.set_visible(False)
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def on_hover(event):
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if event.inaxes != ax:
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if annot.get_visible():
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annot.set_visible(False)
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widget._canvas.draw_idle()
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return
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for bars, kind in ((bars_base, 'base'), (bars_ot, 'ot')):
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for i, bar in enumerate(bars):
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if bar.contains(event)[0]:
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h = hours[i]; ot = overtimes[i]
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text = f"▼ {full_dates[i]}\n근무 {h:.1f}h"
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if ot > 0:
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text += f"\n연장 +{ot:.1f}h"
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annot.xy = (bar.get_x() + bar.get_width() / 2, bar.get_height() + bar.get_y())
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annot.set_text(text)
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annot.set_visible(True)
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widget._canvas.draw_idle()
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# 도전과제 #stat_chart_hover — 첫 발견 시 1회만 기록
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db = getattr(widget, '_achievement_db', None)
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if db is not None:
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try:
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if db.get_setting('chart_hover_discovered', 'false').lower() != 'true':
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db.set_setting('chart_hover_discovered', 'true')
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except Exception:
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pass
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return
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if annot.get_visible():
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annot.set_visible(False)
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widget._canvas.draw_idle()
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widget._canvas.mpl_connect("motion_notify_event", on_hover)
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widget._canvas.draw()
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def draw_clock_in_distribution(widget: QWidget, records: List[dict]) -> None:
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"""출근 시각 분포 히스토그램 (30분 빈)."""
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if not getattr(widget, '_figure', None):
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return
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fig = widget._figure
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fig.clear()
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_apply_dark_figure(fig)
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if not records:
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ax = fig.add_subplot(111)
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_apply_dark_axes(ax)
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ax.text(0.5, 0.5, '기록 없음', ha='center', va='center',
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transform=ax.transAxes, color=_CHART_TEXT, fontsize=11)
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widget._canvas.draw()
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return
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minutes_list = []
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for r in records:
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ci = r.get('clock_in')
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if not ci:
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continue
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parts = ci.split(':')
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if len(parts) >= 2:
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try:
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minutes_list.append(int(parts[0]) * 60 + int(parts[1]))
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except ValueError:
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pass
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if not minutes_list:
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ax = fig.add_subplot(111)
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_apply_dark_axes(ax)
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ax.text(0.5, 0.5, '기록 없음', ha='center', va='center',
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transform=ax.transAxes, color=_CHART_TEXT, fontsize=11)
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widget._canvas.draw()
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return
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bin_size = 30
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min_m = (min(minutes_list) // bin_size) * bin_size
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max_m = ((max(minutes_list) // bin_size) + 1) * bin_size
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bins = list(range(min_m, max_m + bin_size, bin_size))
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ax = fig.add_subplot(111)
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ax.hist(minutes_list, bins=bins, color=_CHART_BAR_NORMAL,
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edgecolor=_CHART_BG, linewidth=1)
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avg = sum(minutes_list) / len(minutes_list)
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ax.axvline(avg, color=_CHART_AVG_LINE, linestyle='--', linewidth=2,
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label=f'평균 {int(avg//60):02d}:{int(avg%60):02d}')
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ax.set_xticks([m for m in bins if m % 60 == 0])
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ax.set_xticklabels([f"{m//60:02d}:00" for m in bins if m % 60 == 0],
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rotation=45, fontsize=8)
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ax.set_ylabel('일수')
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legend = ax.legend(loc='upper right', fontsize=8, facecolor=_CHART_BG,
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edgecolor=_CHART_GRID, labelcolor=_CHART_TEXT)
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_apply_dark_axes(ax)
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widget._canvas.draw()
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def draw_weekday_avg(widget: QWidget, records: List[dict]) -> None:
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"""요일별 평균 근무시간 막대 그래프."""
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if not getattr(widget, '_figure', None):
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return
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fig = widget._figure
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fig.clear()
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_apply_dark_figure(fig)
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from datetime import datetime as _dt
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weekday_totals = [0.0] * 7
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weekday_counts = [0] * 7
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for r in records:
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try:
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d = _dt.strptime(r['date'], '%Y-%m-%d')
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except (ValueError, TypeError):
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continue
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weekday_totals[d.weekday()] += r.get('total_hours', 0) or 0
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weekday_counts[d.weekday()] += 1
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avg = [(t / c) if c else 0 for t, c in zip(weekday_totals, weekday_counts)]
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labels = ['월', '화', '수', '목', '금', '토', '일']
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ax = fig.add_subplot(111)
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colors = [_CHART_BAR_NORMAL] * 5 + [_CHART_BAR_WEEKEND] * 2 # 주말 골드 강조
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ax.bar(labels, avg, color=colors)
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ax.set_ylabel('평균 시간')
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_apply_dark_axes(ax)
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widget._canvas.draw()
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