171 lines
6.3 KiB
Python
171 lines
6.3 KiB
Python
#!/usr/bin/env python3
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"""Validate canonical resume data, generation sources, and generated documents.
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Usage:
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python resume_builder/helpers/validate_resume_system.py
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python resume_builder/helpers/validate_resume_system.py --document output/Acme/resume.tex
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"""
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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 re
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import sys
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from pathlib import Path
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ROOT = Path(__file__).resolve().parents[2]
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CLAIMS_PATH = ROOT / "resume_builder" / "canonical" / "claims.json"
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HISTORY_PATH = ROOT / "resume_builder" / "canonical" / "historical_outputs.json"
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def load_json(path: Path) -> dict:
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with path.open(encoding="utf-8") as handle:
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return json.load(handle)
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def read_text(path: Path) -> str:
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return path.read_text(encoding="utf-8")
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def canonical_checks(claims: dict, history: dict) -> tuple[list[str], list[str]]:
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errors: list[str] = []
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warnings: list[str] = []
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if claims.get("schema_version") != 1:
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errors.append("claims.json schema_version must be 1")
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if history.get("schema_version") != 1:
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errors.append("historical_outputs.json schema_version must be 1")
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for key in ("identity", "education", "employment", "claims", "skills"):
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if not claims.get(key):
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errors.append(f"claims.json missing non-empty {key}")
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for collection in ("education", "employment", "claims"):
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ids = [item.get("id") for item in claims.get(collection, [])]
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if None in ids:
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errors.append(f"{collection} contains an item without id")
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duplicates = sorted({item for item in ids if ids.count(item) > 1})
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if duplicates:
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errors.append(f"duplicate {collection} ids: {', '.join(duplicates)}")
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skills = claims.get("skills", [])
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skill_names = [item.get("name") for item in skills]
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duplicates = sorted({item for item in skill_names if skill_names.count(item) > 1})
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if duplicates:
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errors.append(f"duplicate skills: {', '.join(duplicates)}")
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for skill in skills:
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if skill.get("output") not in {
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"allowed",
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"allowed-with-context",
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"certification-context-only",
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"forbidden",
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}:
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errors.append(f"invalid output policy for skill {skill.get('name')}")
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config = read_text(ROOT / "config.md")
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bundle_names = re.findall(r"\|\s*(bundle_[a-z0-9_]+\.md)\s*\|", config)
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for bundle_name in bundle_names:
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if not (ROOT / "resume_builder" / "bundles" / bundle_name).exists():
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errors.append(f"configured bundle does not exist: {bundle_name}")
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expected_files = [
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ROOT / "resume_builder" / "templates" / "resume_template.tex",
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ROOT / "resume_builder" / "reference" / "resume_reference.md",
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ROOT / "resume_builder" / "reference" / "critique_framework.md",
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]
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for path in expected_files:
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if not path.exists():
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errors.append(f"required workflow file missing: {path.relative_to(ROOT)}")
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history_folders: list[str] = []
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for key in ("unsafe_do_not_reuse", "historical_revalidate"):
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for item in history.get(key, []):
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history_folders.append(item["folder"] if isinstance(item, dict) else item)
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duplicates = sorted({item for item in history_folders if history_folders.count(item) > 1})
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if duplicates:
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errors.append(f"historical output folders classified twice: {', '.join(duplicates)}")
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if claims["identity"].get("swiss_permit", "").startswith("UNVERIFIED"):
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warnings.append("Swiss permit type remains unverified; generators must ask before naming it")
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return errors, warnings
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def workflow_checks() -> list[str]:
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errors: list[str] = []
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checks = {
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ROOT / "resume_builder" / "templates" / "resume_template.tex": [
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"Research Experience",
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"FLIPPED format",
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"Selected Publications",
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],
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ROOT / "resume_builder" / "reference" / "resume_reference.md": [
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"ALL variable bullets",
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"<= 3 lines white space",
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"20-21 variable bullets",
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],
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ROOT / ".agents" / "skills" / "critique" / "SKILL.md": [
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"Publications 10%",
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"Eight-Dimension Scoring",
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],
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}
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for path, forbidden_phrases in checks.items():
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text = read_text(path).lower()
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for phrase in forbidden_phrases:
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if phrase.lower() in text:
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errors.append(f"obsolete workflow rule remains in {path.relative_to(ROOT)}: {phrase}")
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return errors
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def scan_document(path: Path, claims: dict) -> list[str]:
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errors: list[str] = []
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text = read_text(path)
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lowered = text.lower()
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for pattern in claims.get("global_forbidden_output_patterns", []):
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if pattern.lower() in lowered:
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errors.append(f"{path}: forbidden output pattern: {pattern}")
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for skill in claims.get("skills", []):
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if skill.get("output") == "forbidden" and skill["name"].lower() in lowered:
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errors.append(f"{path}: forbidden or unverified skill: {skill['name']}")
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if "\\begin{rsubsection}" in lowered:
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for line_number, line in enumerate(text.splitlines(), 1):
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if "\\begin{rSubsection}" not in line:
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continue
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if re.search(r"Production Ownership|AI-Ready|Customer-Embedded|Shipping ML", line, re.I):
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errors.append(f"{path}:{line_number}: marketing theme used before formal employer/title")
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return errors
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def main() -> int:
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parser = argparse.ArgumentParser()
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parser.add_argument("--document", action="append", default=[], help="Generated .tex file to validate")
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args = parser.parse_args()
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claims = load_json(CLAIMS_PATH)
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history = load_json(HISTORY_PATH)
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errors, warnings = canonical_checks(claims, history)
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errors.extend(workflow_checks())
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for document in args.document:
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path = Path(document)
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if not path.is_absolute():
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path = ROOT / path
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if not path.exists():
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errors.append(f"document not found: {path}")
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else:
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errors.extend(scan_document(path, claims))
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for warning in warnings:
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print(f"WARN: {warning}")
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for error in errors:
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print(f"ERROR: {error}")
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if errors:
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print(f"FAIL: {len(errors)} error(s), {len(warnings)} warning(s)")
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return 1
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print(f"PASS: canonical system valid ({len(warnings)} warning(s))")
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return 0
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if __name__ == "__main__":
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sys.exit(main())
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