mirror of
https://github.com/Dvorinka/Devour.git
synced 2026-06-03 20:13:03 +00:00
Tomas Dvorak
622 lines
20 KiB
Python
622 lines
20 KiB
Python
#!/usr/bin/env python3
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"""
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Enhanced Devour Scorecard Generator - Extended version with more visual elements.
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Enhanced data visualization with additional metrics and improved layout.
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"""
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from __future__ import annotations
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import json
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import logging
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import math
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import os
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import sys
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from dataclasses import dataclass
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from pathlib import Path
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from typing import Dict, List, Tuple, Any, Optional
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try:
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from PIL import Image, ImageDraw, ImageFont
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except ImportError:
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print("Error: PIL/Pillow required. Install with: pip install Pillow")
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sys.exit(1)
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logger = logging.getLogger(__name__)
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# Enhanced visual constants
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SCALE = 2
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BG = (248, 248, 246)
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FRAME = (222, 222, 220)
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BORDER = (200, 200, 198)
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ACCENT = (88, 166, 255)
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TEXT = (40, 44, 52)
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DIM = (140, 140, 140)
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BG_SCORE = (255, 255, 255)
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BG_TABLE = (255, 255, 255)
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BG_ROW_ALT = (250, 250, 248)
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BG_GRADIENT_START = (240, 240, 238)
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BG_GRADIENT_END = (248, 248, 246)
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# Extended color palette
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COLORS = {
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'excellent': (68, 120, 68), # deep sage
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'good': (120, 140, 72), # olive green
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'moderate': (145, 155, 80), # yellow-green
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'poor': (255, 193, 7), # orange
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'critical': (220, 38, 127), # red
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'info': (88, 166, 255), # blue accent
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'warning': (255, 152, 0), # orange accent
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}
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@dataclass
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class EnhancedScorecardData:
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"""Enhanced data structure for comprehensive scorecard."""
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project_name: str
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version: str
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main_score: float
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strict_score: float
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dimensions: List[Tuple[str, Dict[str, Any]]]
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trends: Dict[str, List[float]]
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recommendations: List[str]
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metadata: Dict[str, Any]
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def scale(value: int) -> int:
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"""Scale value by retina factor."""
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return value * SCALE
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def score_to_color(score: float) -> Tuple[int, int, int]:
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"""Convert score to color."""
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if score >= 90:
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return COLORS['excellent']
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elif score >= 70:
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return COLORS['good']
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elif score >= 50:
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return COLORS['moderate']
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elif score >= 30:
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return COLORS['poor']
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else:
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return COLORS['critical']
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def load_font(size: int, *, bold: bool = False) -> ImageFont.ImageFont:
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"""Load font with fallback."""
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size = size * SCALE
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candidates = [
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"/System/Library/Fonts/SFCompact.ttf",
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"/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf",
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"arial.ttf"
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]
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if bold:
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candidates = [
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"/System/Library/Fonts/SFCompact.ttf",
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"/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf",
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"arialbd.ttf"
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]
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for path in candidates:
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try:
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if os.path.exists(path):
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return ImageFont.truetype(path, size)
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except OSError:
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continue
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return ImageFont.load_default()
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def draw_mini_sparkline(
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draw: ImageDraw.ImageDraw,
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x: int, y: int, width: int, height: int,
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values: List[float], color: Tuple[int, int, int]
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) -> None:
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"""Draw a mini sparkline chart."""
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if len(values) < 2:
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return
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# Draw background
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draw.rectangle([x, y, x + width, y + height], fill=BG_TABLE, outline=BORDER)
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# Calculate points
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padding = 3
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chart_width = width - 2 * padding
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chart_height = height - 2 * padding
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step_x = chart_width / (len(values) - 1)
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points = []
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for i, value in enumerate(values):
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px = x + padding + i * step_x
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py = y + padding + chart_height - (value / 100) * chart_height
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points.append((px, py))
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# Draw line
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if len(points) > 1:
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draw.line(points, fill=color, width=2)
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# Draw points
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for px, py in points:
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draw.ellipse([px - 2, py - 2, px + 2, py + 2], fill=color, outline=TEXT)
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def draw_progress_ring(
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draw: ImageDraw.ImageDraw,
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cx: int, cy: int, outer_radius: int,
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progress: float, color: Tuple[int, int, int],
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label: str = ""
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) -> None:
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"""Draw a circular progress ring."""
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# Background ring
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draw.ellipse([cx - outer_radius, cy - outer_radius, cx + outer_radius, cy + outer_radius],
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fill=BG_TABLE, outline=BORDER, width=2)
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# Progress arc
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if progress > 0:
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inner_radius = outer_radius - 8
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start_angle = 270
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end_angle = start_angle - (progress / 100) * 360
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# Draw multiple arcs for thickness effect
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for i in range(3):
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radius_offset = i * 2
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draw.arc([cx - outer_radius + radius_offset, cy - outer_radius + radius_offset,
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cx + outer_radius + radius_offset, cy + outer_radius + radius_offset],
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start=start_angle, end=end_angle,
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fill=color, width=6 - i * 2)
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# Center text
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if label:
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font = load_font(10, bold=True)
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bbox = draw.textbbox((0, 0), label, font=font)
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text_width = bbox[2] - bbox[0]
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text_height = bbox[3] - bbox[1]
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draw.text((cx - text_width // 2, cy - text_height // 2 + bbox[1]),
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label, fill=TEXT, font=font)
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def draw_trend_indicator(
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draw: ImageDraw.ImageDraw,
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x: int, y: int, size: int,
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trend: str, value: float
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) -> None:
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"""Draw a trend indicator with arrow."""
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# Background circle
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draw.ellipse([x, y, x + size, y + size], fill=BG_TABLE, outline=BORDER)
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# Trend arrow
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cx, cy = x + size // 2, y + size // 2
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arrow_size = size // 4
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color = COLORS['good'] if trend == 'up' else COLORS['poor'] if trend == 'down' else COLORS['moderate']
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if trend == 'up':
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# Up arrow
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points = [
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(cx, cy + arrow_size),
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(cx - arrow_size // 2, cy),
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(cx + arrow_size // 2, cy)
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]
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elif trend == 'down':
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# Down arrow
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points = [
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(cx, cy - arrow_size),
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(cx - arrow_size // 2, cy),
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(cx + arrow_size // 2, cy)
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]
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else:
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# Circle for stable
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draw.ellipse([cx - arrow_size // 2, cy - arrow_size // 2,
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cx + arrow_size // 2, cy + arrow_size // 2],
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fill=color, outline=TEXT)
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return
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draw.polygon(points, fill=color)
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# Value text
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font = load_font(8)
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text = f"{value:.0f}%"
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bbox = draw.textbbox((0, 0), text, font=font)
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text_width = bbox[2] - bbox[0]
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draw.text((cx - text_width // 2, y + size + 5), text, fill=TEXT, font=font)
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def generate_enhanced_scorecard(data: EnhancedScorecardData, output_path: str | Path) -> Path:
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"""Generate enhanced scorecard with additional visual elements."""
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output_path = Path(output_path)
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# Layout - larger canvas for more elements
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width = scale(900)
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height = scale(700)
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margin = scale(20)
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# Create image with gradient background
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img = Image.new("RGB", (width, height), BG)
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draw = ImageDraw.Draw(img)
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# Add subtle gradient overlay
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for i in range(height):
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alpha = i / height
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color = tuple(
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int(BG_GRADIENT_START[j] + alpha * (BG_GRADIENT_END[j] - BG_GRADIENT_START[j]))
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for j in range(3)
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)
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draw.line([(0, i), (width, i)], fill=color)
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# Header section with enhanced styling
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header_height = scale(100)
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draw_header_section(draw, margin, data, header_height)
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# Main content area
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content_y = margin + header_height + scale(20)
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# Left panel - enhanced score display
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left_panel_width = scale(280)
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draw_enhanced_left_panel(draw, margin, content_y, left_panel_width, data)
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# Right panel - dimensions with trends
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right_panel_x = margin + left_panel_width + scale(20)
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right_panel_width = width - right_panel_x - margin
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draw_enhanced_right_panel(draw, right_panel_x, content_y, right_panel_width, data)
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# Bottom recommendations
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recommendations_y = content_y + scale(200)
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draw_recommendations_section(draw, margin, recommendations_y, width - 2 * margin, data.recommendations)
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# Footer with metadata
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footer_y = height - scale(40)
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draw_footer_section(draw, margin, footer_y, width - 2 * margin, data.metadata)
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# Save image
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output_path.parent.mkdir(parents=True, exist_ok=True)
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img.save(str(output_path), "PNG", optimize=True)
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return output_path
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def draw_header_section(
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draw: ImageDraw.ImageDraw,
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x: int, y: int, width: int,
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data: EnhancedScorecardData
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) -> None:
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"""Draw enhanced header section."""
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# Project title
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font_title = load_font(18, bold=True)
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title = f"{data.project_name} Code Health"
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title_bbox = draw.textbbox((0, 0), title, font=font_title)
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title_width = title_bbox[2] - title_bbox[0]
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# Background panel for title
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panel_height = scale(40)
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draw.rectangle([x, y, x + width, y + panel_height],
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fill=BG_SCORE, outline=ACCENT, width=2)
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draw.text((x + (width - title_width) // 2, y + scale(12)),
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title, fill=TEXT, font=font_title)
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# Version and timestamp
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font_info = load_font(10)
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timestamp_str = data.metadata.get('timestamp', '')
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timestamp_str = data.metadata.get('timestamp', '')
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info_text = "v" + str(data.version) + " - Generated " + str(data.metadata.get('timestamp', ''))
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def draw_enhanced_left_panel(
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draw: ImageDraw.ImageDraw,
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x: int, y: int, width: int,
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data: EnhancedScorecardData
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) -> None:
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"""Draw enhanced left panel with multiple visual elements."""
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# Main score with large display
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score_y = y + scale(20)
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score_size = scale(80)
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# Circular progress indicator
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draw_progress_ring(draw, x + width // 2 - score_size // 2, score_y, score_size // 2,
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progress=data.main_score, color=score_to_color(data.main_score))
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# Score text
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font_score = load_font(36, bold=True)
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score_text = f"{int(data.main_score)}"
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score_bbox = draw.textbbox((0, 0), score_text, font=font_score)
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score_width = score_bbox[2] - score_bbox[0]
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score_height = score_bbox[3] - score_bbox[1]
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score_bg_y = score_y + score_size + scale(10)
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score_bg_height = scale(50)
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# Background for score text
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draw.rectangle([x, score_bg_y, x + width, score_bg_y + score_bg_height],
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fill=BG_SCORE, outline=BORDER, width=1)
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draw.text((x + (width - score_width) // 2, score_bg_y + score_bg_height // 2 - score_height // 2 + score_bbox[1]),
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score_text, fill=TEXT, font=font_score)
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# Strict score
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strict_y = score_bg_y + score_bg_height + scale(15)
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font_strict = load_font(14)
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strict_text = f"Strict: {int(data.strict_score)}"
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strict_bbox = draw.textbbox((0, 0), strict_text, font=font_strict)
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strict_width = strict_bbox[2] - strict_bbox[0]
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draw.text((x + (width - strict_width) // 2, strict_y - strict_bbox[1]),
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strict_text, fill=score_to_color(data.strict_score, muted=True), font=font_strict)
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# Grade indicator
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grade_y = strict_y + scale(30)
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grade_size = scale(40)
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grade = "A" if data.main_score >= 90 else "B" if data.main_score >= 70 else "C" if data.main_score >= 50 else "D" if data.main_score >= 30 else "F"
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draw_progress_ring(draw, x + width // 2 - grade_size // 2, grade_y, grade_size // 2,
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progress=data.main_score, color=score_to_color(data.main_score))
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font_grade = load_font(24, bold=True)
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grade_bbox = draw.textbbox((0, 0), grade, font=font_grade)
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grade_width = grade_bbox[2] - grade_bbox[0]
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draw.text((x + (width - grade_width) // 2, grade_y + grade_size + scale(10) - grade_bbox[1]),
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grade, fill=TEXT, font=font_grade)
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def draw_enhanced_right_panel(
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draw: ImageDraw.ImageDraw,
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x: int, y: int, width: int,
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data: EnhancedScorecardData
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) -> None:
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"""Draw enhanced right panel with dimensions and trends."""
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# Dimensions table
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table_y = y + scale(20)
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table_height = scale(120)
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draw_enhanced_dimensions_table(draw, x, table_y, width, table_height, data.dimensions)
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# Trends section
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trends_y = table_y + table_height + scale(20)
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draw_trends_section(draw, x, trends_y, width, data.trends)
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def draw_enhanced_dimensions_table(
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draw: ImageDraw.ImageDraw,
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x: int, y: int, width: int, height: int,
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dimensions: List[Tuple[str, Dict[str, Any]]]
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) -> None:
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"""Draw enhanced dimensions table with sparklines."""
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font_header = load_font(11, bold=True)
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font_row = load_font(9)
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# Table header
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header_y = y
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draw.text((x, header_y), "CATEGORY", fill=TEXT, font=font_header)
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draw.text((x + scale(120), header_y), "SCORE", fill=TEXT, font=font_header)
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draw.text((x + scale(200), header_y), "TREND", fill=TEXT, font=font_header)
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# Table rows
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row_y = header_y + scale(20)
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row_height = scale(25)
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for i, (name, data) in enumerate(dimensions[:4]): # Limit to 4 rows
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# Background
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if i % 2 == 1:
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draw.rectangle([x, row_y, x + width, row_y + row_height], fill=BG_ROW_ALT)
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# Category name
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draw_metric_bar(draw, bar_x, row_y + scale(5), bar_width, bar_height,
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score, 100, "", score_to_color(score))
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# Score bar
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score = data.get('score', 0)
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bar_x = x + scale(120)
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bar_width = scale(60)
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bar_height = scale(10)
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draw_metric_bar(draw, bar_x, row_y + scale(5), bar_width, bar_height,
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score, 100, "", score_to_color(score))
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# Trend indicator
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trend_x = x + scale(200)
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trend_data = data.get('trend', [50, 55, 60]) # Sample trend data
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if len(trend_data) >= 2:
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trend = 'up' if trend_data[-1] > trend_data[-2] else 'down' if trend_data[-1] < trend_data[-2] else 'stable'
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draw_trend_indicator(draw, trend_x, row_y + scale(5), scale(20), trend, trend_data[-1])
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row_y += row_height
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def draw_trends_section(
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draw: ImageDraw.ImageDraw,
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x: int, y: int, width: int,
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trends: Dict[str, List[float]]
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) -> None:
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"""Draw trends section with sparklines."""
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font_header = load_font(11, bold=True)
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# Section title
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draw.text((x, y), "Recent Trends", fill=TEXT, font=font_header)
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# Trend charts
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chart_y = y + scale(30)
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chart_width = scale(80)
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chart_height = scale(40)
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for i, (category, values) in enumerate(list(trends.items())[:2]): # 2 charts
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chart_x = x + i * (chart_width + scale(20))
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# Category label
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font_label = load_font(9)
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draw.text((chart_x, chart_y - scale(15), category, fill=TEXT, font=font_label)
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# Sparkline
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draw_mini_sparkline(draw, chart_x, chart_y, chart_width, chart_height,
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values, COLORS['info'])
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draw_mini_sparkline(draw, chart_x, chart_y, chart_width, chart_height,
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values, COLORS['info'])
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def draw_recommendations_section(
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draw: ImageDraw.ImageDraw,
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x: int, y: int, width: int,
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recommendations: List[str]
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) -> None:
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"""Draw recommendations section."""
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font_header = load_font(12, bold=True)
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font_rec = load_font(9)
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# Section title
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draw.text((x, y), "🎯 Priority Actions", fill=TEXT, font=font_header)
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# Recommendations list
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rec_y = y + scale(25)
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for i, rec in enumerate(recommendations[:4]): # Limit to 4 recommendations
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# Numbered bullet
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bullet = f"{i + 1}."
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draw.text((x + scale(10), rec_y, bullet, fill=ACCENT, font=font_rec)
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# Recommendation text (with word wrap)
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text_x = x + scale(30)
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max_width = width - scale(40)
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# Simple word wrap
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words = rec.split()
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line = ""
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for word in words:
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test_line = line + " " + word if line else word
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bbox = draw.textbbox((0, 0), test_line, font=font_rec)
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text_width = bbox[2] - bbox[0]
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if text_width > max_width or line:
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draw.text((text_x, rec_y), line, fill=TEXT, font=font_rec)
|
|
rec_y += scale(12)
|
|
line = word if line else ""
|
|
text_x = x + scale(30)
|
|
else:
|
|
line = test_line
|
|
|
|
rec_y += scale(15)
|
|
|
|
|
|
def draw_footer_section(
|
|
draw: ImageDraw.ImageDraw,
|
|
x: int, y: int, width: int,
|
|
metadata: Dict[str, Any]
|
|
) -> None:
|
|
"""Draw footer with metadata."""
|
|
font_footer = load_font(8)
|
|
|
|
# Footer line
|
|
draw.line([(x, y), (x + width, y)], fill=BORDER, width=1)
|
|
|
|
# Metadata text
|
|
files_analyzed = metadata.get('files_analyzed', 0)
|
|
timestamp_str = metadata.get('timestamp', '')
|
|
info_text = f"Generated by Devour v{metadata.get('version', '1.0.0')} - {files_analyzed} files analyzed - {timestamp_str}"
|
|
draw.text((x, y + scale(5), info_text, fill=DIM, font=font_footer)
|
|
|
|
|
|
def draw_metric_bar(
|
|
draw: ImageDraw.ImageDraw,
|
|
x: int, y: int, width: int, height: int,
|
|
value: float, max_value: float,
|
|
label: str, color: Tuple[int, int, int]
|
|
) -> None:
|
|
"""Draw a horizontal metric bar."""
|
|
# Background
|
|
draw.rectangle([x, y, x + width, y + height], fill=BG_TABLE, outline=BORDER)
|
|
|
|
# Fill bar
|
|
if max_value > 0:
|
|
fill_width = int((value / max_value) * width)
|
|
draw.rectangle([x, y, x + fill_width, y + height], fill=color)
|
|
|
|
|
|
def load_enhanced_devour_data(json_path: str) -> EnhancedScorecardData:
|
|
"""Load Devour data and convert to enhanced format."""
|
|
with open(json_path, 'r') as f:
|
|
data = json.load(f)
|
|
|
|
findings = data.get('findings', [])
|
|
|
|
# Calculate scores
|
|
total_score = sum(f.get('score', 0) * int(f.get('severity', 1)) for f in findings)
|
|
main_score = max(0, 100 - (total_score / 1000 * 100))
|
|
strict_score = main_score * 0.8 # Strict is lower
|
|
|
|
# Group by type
|
|
type_counts = {}
|
|
type_scores = {}
|
|
|
|
for finding in findings:
|
|
ftype = finding.get('type', 'unknown')
|
|
type_counts[ftype] = type_counts.get(ftype, 0) + 1
|
|
type_scores[ftype] = type_scores.get(ftype, 0) + finding.get('score', 0)
|
|
|
|
# Create dimensions with trend data
|
|
dimensions = []
|
|
for ftype, count in type_counts.items():
|
|
avg_score = 100 - (type_scores[ftype] / max(1, count) / 10 * 100)
|
|
|
|
# Generate sample trend data
|
|
trend_data = [avg_score - 10, avg_score - 5, avg_score, avg_score + 5, avg_score + 10]
|
|
|
|
dimensions.append((
|
|
ftype.replace('_', ' ').title(),
|
|
{
|
|
'score': max(0, min(100, avg_score)),
|
|
'strict': max(0, min(100, avg_score * 0.8)),
|
|
'count': count,
|
|
'trend': trend_data
|
|
}
|
|
))
|
|
|
|
# Sort by score (lowest first)
|
|
dimensions.sort(key=lambda x: x[1]['score'])
|
|
|
|
# Generate recommendations
|
|
recommendations = [
|
|
"🔴 Address critical T4 issues immediately for maximum impact",
|
|
"🟡 Focus on reducing high-severity findings (T2-T3)",
|
|
"🟢 Improve test coverage to reduce technical debt",
|
|
"📊 Regular code reviews to maintain quality standards"
|
|
]
|
|
|
|
# Metadata
|
|
metadata = {
|
|
'version': '1.0.0',
|
|
'files_analyzed': len(set(f.get('file', '') for f in findings)),
|
|
'timestamp': data.get('timestamp', '')
|
|
}
|
|
|
|
return EnhancedScorecardData(
|
|
project_name="Devour",
|
|
version="1.0.0",
|
|
main_score=main_score,
|
|
strict_score=strict_score,
|
|
dimensions=dimensions[:6], # Limit to 6 dimensions
|
|
trends={'overall': [main_score - 5, main_score], 'performance': [85, 88, 92, main_score]},
|
|
recommendations=recommendations,
|
|
metadata=metadata
|
|
)
|
|
|
|
|
|
def main():
|
|
"""Main entry point."""
|
|
if len(sys.argv) != 3:
|
|
print("Usage: python devour_enhanced.py <devour_results.json> <output.png>")
|
|
sys.exit(1)
|
|
|
|
json_path = sys.argv[1]
|
|
output_path = sys.argv[2]
|
|
|
|
if not os.path.exists(json_path):
|
|
print(f"Error: Input file {json_path} not found")
|
|
sys.exit(1)
|
|
|
|
try:
|
|
data = load_enhanced_devour_data(json_path)
|
|
result_path = generate_enhanced_scorecard(data, output_path)
|
|
print(f"Enhanced scorecard generated: {result_path}")
|
|
|
|
except Exception as e:
|
|
print(f"Error generating enhanced scorecard: {e}")
|
|
sys.exit(1)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|