feat(plugins): implement Sprint 4 commands (#241-#258)

Sprint 4 - Plugin Commands implementation adding 18 new user-facing
commands across 8 plugins as part of V5.2.0 Plugin Enhancements.

**projman:**
- #241: /sprint-diagram - Mermaid visualization of sprint issues

**pr-review:**
- #242: Confidence threshold config (PR_REVIEW_CONFIDENCE_THRESHOLD)
- #243: /pr-diff - Formatted diff with inline review comments

**data-platform:**
- #244: /data-quality - DataFrame quality checks (nulls, duplicates, outliers)
- #245: /lineage-viz - dbt lineage as Mermaid diagrams
- #246: /dbt-test - Formatted dbt test runner

**viz-platform:**
- #247: /chart-export - Export charts to PNG/SVG/PDF via kaleido
- #248: /accessibility-check - Color blind validation (WCAG contrast)
- #249: /breakpoints - Responsive layout configuration

**contract-validator:**
- #250: /dependency-graph - Plugin dependency visualization

**doc-guardian:**
- #251: /changelog-gen - Generate changelog from conventional commits
- #252: /doc-coverage - Documentation coverage metrics
- #253: /stale-docs - Flag outdated documentation

**claude-config-maintainer:**
- #254: /config-diff - Track CLAUDE.md changes over time
- #255: /config-lint - 31 lint rules for CLAUDE.md best practices

**cmdb-assistant:**
- #256: /cmdb-topology - Infrastructure topology diagrams
- #257: /change-audit - NetBox audit trail queries
- #258: /ip-conflicts - Detect IP conflicts and overlaps

Closes #241, #242, #243, #244, #245, #246, #247, #248, #249,
#250, #251, #252, #253, #254, #255, #256, #257, #258

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
2026-01-28 12:02:26 -05:00
parent 8a957b1b69
commit 9698e8724d
36 changed files with 4295 additions and 22 deletions

View File

@@ -3,11 +3,21 @@ Chart creation tools using Plotly.
Provides tools for creating data visualizations with automatic theme integration.
"""
import base64
import logging
import os
from typing import Dict, List, Optional, Any, Union
logger = logging.getLogger(__name__)
# Check for kaleido availability
KALEIDO_AVAILABLE = False
try:
import kaleido
KALEIDO_AVAILABLE = True
except ImportError:
logger.debug("kaleido not installed - chart export will be unavailable")
# Default color palette based on Mantine theme
DEFAULT_COLORS = [
@@ -395,3 +405,129 @@ class ChartTools:
"figure": figure,
"interactions_added": []
}
async def chart_export(
self,
figure: Dict[str, Any],
format: str = "png",
width: Optional[int] = None,
height: Optional[int] = None,
scale: float = 2.0,
output_path: Optional[str] = None
) -> Dict[str, Any]:
"""
Export a Plotly chart to a static image format.
Args:
figure: Plotly figure JSON to export
format: Output format - png, svg, or pdf
width: Image width in pixels (default: from figure or 1200)
height: Image height in pixels (default: from figure or 800)
scale: Resolution scale factor (default: 2 for retina)
output_path: Optional file path to save the image
Returns:
Dict with:
- image_data: Base64-encoded image (if no output_path)
- file_path: Path to saved file (if output_path provided)
- format: Export format used
- dimensions: {width, height, scale}
- error: Error message if export failed
"""
# Validate format
valid_formats = ['png', 'svg', 'pdf']
format = format.lower()
if format not in valid_formats:
return {
"error": f"Invalid format '{format}'. Must be one of: {valid_formats}",
"format": format,
"image_data": None
}
# Check kaleido availability
if not KALEIDO_AVAILABLE:
return {
"error": "kaleido package not installed. Install with: pip install kaleido",
"format": format,
"image_data": None,
"install_hint": "pip install kaleido"
}
# Validate figure
if not figure or 'data' not in figure:
return {
"error": "Invalid figure: must contain 'data' key",
"format": format,
"image_data": None
}
try:
import plotly.graph_objects as go
import plotly.io as pio
# Create Plotly figure object
fig = go.Figure(figure)
# Determine dimensions
layout = figure.get('layout', {})
export_width = width or layout.get('width') or 1200
export_height = height or layout.get('height') or 800
# Export to bytes
image_bytes = pio.to_image(
fig,
format=format,
width=export_width,
height=export_height,
scale=scale
)
result = {
"format": format,
"dimensions": {
"width": export_width,
"height": export_height,
"scale": scale,
"effective_width": int(export_width * scale),
"effective_height": int(export_height * scale)
}
}
# Save to file or return base64
if output_path:
# Ensure directory exists
output_dir = os.path.dirname(output_path)
if output_dir and not os.path.exists(output_dir):
os.makedirs(output_dir, exist_ok=True)
# Add extension if missing
if not output_path.endswith(f'.{format}'):
output_path = f"{output_path}.{format}"
with open(output_path, 'wb') as f:
f.write(image_bytes)
result["file_path"] = output_path
result["file_size_bytes"] = len(image_bytes)
else:
# Return as base64
result["image_data"] = base64.b64encode(image_bytes).decode('utf-8')
result["data_uri"] = f"data:image/{format};base64,{result['image_data']}"
return result
except ImportError as e:
logger.error(f"Chart export failed - missing dependency: {e}")
return {
"error": f"Missing dependency for export: {e}",
"format": format,
"image_data": None,
"install_hint": "pip install plotly kaleido"
}
except Exception as e:
logger.error(f"Chart export failed: {e}")
return {
"error": str(e),
"format": format,
"image_data": None
}