The diagram path now follows a documented standard procedure (lookup the closest Oracle Architecture Center reference → confirm components → author absolute_layout → spec validator → render → visually verify) and ships persistent guardrails so layout regressions can't recur. Persistent procedure changes (apply to all users, all sessions): - tools/diagram_spec_validator.py — geometry checks (CONTAINER_TOO_THIN, CONTAINER_PADDING_VIOLATION, LABEL_OVERFLOW_PARENT) run BEFORE either renderer (drawio + PPTX). Catches the subnet-collapse / label-overflow bugs that the post-render drawio validator missed. - tools/oci_diagram_gen.py + tools/oci_pptx_diagram_gen.py — call the spec validator before emitting any output. Adds mysql / mysql_heatwave type aliases. - tools/archcenter_pattern_lookup.py — scores against cached page descriptions (not just the 1-line summary), supports --queries for multi-fragment composition, and applies synonym expansion via kb/architecture-center/synonyms.yaml so "LB HA cross AD" matches "load balancer high availability availability domain". - kb/architecture-center/synonyms.yaml — canonical synonym table (load balancer, autonomous database, data guard, …) used by the lookup scorer. KB enrichment: - tools/archcenter_description_fetcher.py + 121 cached _description.md under kb/diagram/assets/archcenter-refs/<slug>/. Removes the runtime dependency on docs.oracle.com when authoring specs and feeds the pattern-lookup scorer. - 110+ cached .drawio / .svg / .png references for offline reuse, plus the OCI Toolkit v24.2 import (kb/diagram/assets/oci-toolkit-drawio). Documentation: - docs/skill/output-formats.md — new "Standard diagram-generation procedure (MANDATORY)" + geometry rules + the new validator entry. - SKILL.md option 2 — references the mandatory procedure. - README.md — describes the spec validator, archcenter_pattern_lookup and description fetcher, and updates the KB-health table. Tooling that backs the procedure (cumulative across recent sessions): tools/archcenter_case_runner.py, archcenter_batch_driver.py, archcenter_zip_downloader.py, drawio_visual_validator.py, drawio_fidelity_eval.py, harvest_drawio_icon.py, import_oci_library.py, oci_pptx_diagram_gen.py, oci_pptx_render.py, refresh_pptx_icon_index.py. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
97 lines
3.4 KiB
Python
97 lines
3.4 KiB
Python
#!/usr/bin/env python3
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"""Download MCP-generated artifacts and compare them against local analysis."""
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from __future__ import annotations
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import argparse
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import json
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import sys
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import urllib.request
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from pathlib import Path
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PROJECT_ROOT = Path(__file__).resolve().parent.parent
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SCRIPT_DIR = Path(__file__).resolve().parent
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if str(SCRIPT_DIR) not in sys.path:
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sys.path.insert(0, str(SCRIPT_DIR))
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from random_eval_cases import analyze_drawio, analyze_pptx, analyze_xlsx
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def download(url: str, path: Path):
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path.parent.mkdir(parents=True, exist_ok=True)
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urllib.request.urlretrieve(url, path)
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def main():
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parser = argparse.ArgumentParser(description="Analyze MCP artifacts against local baseline.")
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parser.add_argument("--out-dir", required=True)
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parser.add_argument("--local-analysis", required=True)
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parser.add_argument("--deck-url", required=True)
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parser.add_argument("--diagram-url", required=True)
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parser.add_argument("--bizcase-url", required=True)
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parser.add_argument("--bom-url", required=True)
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parser.add_argument("--appca-url", required=True)
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args = parser.parse_args()
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out_dir = PROJECT_ROOT / args.out_dir
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out_dir.mkdir(parents=True, exist_ok=True)
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files = {
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"deck": ("mcp-deck.pptx", args.deck_url, analyze_pptx),
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"diagram": ("mcp-diagram.drawio", args.diagram_url, analyze_drawio),
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"business_case": ("mcp-bizcase.pptx", args.bizcase_url, analyze_pptx),
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"bom": ("mcp-bom.xlsx", args.bom_url, analyze_xlsx),
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"bom_appca": ("mcp-bom-appca.xlsx", args.appca_url, analyze_xlsx),
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}
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analysis = {}
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for key, (filename, url, analyzer) in files.items():
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path = out_dir / filename
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download(url, path)
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analysis[key] = analyzer(path)
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local = json.loads((PROJECT_ROOT / args.local_analysis).read_text(encoding="utf-8"))
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local_analysis = local["local_analysis"]
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comparison = {
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"deck": {
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"local_slides": local_analysis["deck"]["slide_count"],
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"mcp_slides": analysis["deck"]["slide_count"],
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"local_blank_slides": local_analysis["deck"]["blank_slides"],
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"mcp_blank_slides": analysis["deck"]["blank_slides"],
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},
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"business_case": {
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"local_slides": local_analysis["business_case"]["slide_count"],
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"mcp_slides": analysis["business_case"]["slide_count"],
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"local_blank_slides": local_analysis["business_case"]["blank_slides"],
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"mcp_blank_slides": analysis["business_case"]["blank_slides"],
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},
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"bom": {
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"local_empty_sheets": local_analysis["bom"]["empty_sheets"],
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"mcp_empty_sheets": analysis["bom"]["empty_sheets"],
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},
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"bom_appca": {
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"local_empty_sheets": local_analysis["bom_appca"]["empty_sheets"],
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"mcp_empty_sheets": analysis["bom_appca"]["empty_sheets"],
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},
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"diagram": {
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"local_bytes": local_analysis["diagram"]["bytes"],
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"mcp_bytes": analysis["diagram"]["bytes"],
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"local_cell_values": local_analysis["diagram"]["cell_values"],
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"mcp_cell_values": analysis["diagram"]["cell_values"],
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},
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}
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output = {
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"mcp_analysis": analysis,
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"comparison": comparison,
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}
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output_path = out_dir / "mcp-analysis.json"
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output_path.write_text(json.dumps(output, indent=2), encoding="utf-8")
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print(output_path.relative_to(PROJECT_ROOT))
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if __name__ == "__main__":
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main()
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