Files

150 lines
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Python

#!/usr/bin/env python3
"""Verify enums.py stays in sync with question_schema.yaml.
Runs in CI as a drift check. Exits non-zero if the hand-maintained Python
enum constants disagree with the authoritative LinkML schema.
Usage:
python3 staffml/vault-cli/scripts/check_schema_sync.py
"""
from __future__ import annotations
import sys
from pathlib import Path
import yaml
REPO = Path(__file__).resolve().parents[2]
LINKML = REPO / "vault" / "schema" / "question_schema.yaml"
ENUMS_PY = REPO / "vault" / "schema" / "enums.py"
TAXONOMY_DATA = REPO / "vault" / "schema" / "taxonomy_data.yaml"
MODELS_PY = REPO / "vault-cli" / "src" / "vault_cli" / "models.py"
ML_TAXONOMY_PY = REPO / "vault-cli" / "src" / "vault_cli" / "ml_systems_taxonomy.py"
ROOT_LINKML = REPO.parent / "taxonomy" / "schema" / "mlsys-taxonomy.linkml.yml"
# Map LinkML enum name -> Python constant name in enums.py.
ENUM_MAPPING = {
"Track": "VALID_TRACKS",
"Level": "VALID_LEVELS",
"Zone": "VALID_ZONES",
"BloomLevel": "VALID_BLOOM_LEVELS",
"Phase": "VALID_PHASES",
"Status": "VALID_STATUSES",
"Provenance": "VALID_PROVENANCES",
"HumanReviewStatus": "VALID_HUMAN_REVIEW_STATUSES",
"CompetencyArea": "VALID_COMPETENCY_AREAS",
}
def load_linkml_data() -> dict:
with LINKML.open() as fh:
return yaml.safe_load(fh)
def load_linkml_enums() -> dict[str, set[str]]:
data = load_linkml_data()
out = {}
for name, spec in (data.get("enums") or {}).items():
values = set((spec or {}).get("permissible_values") or {})
out[name] = values
return out
def load_python_enums():
# Import the module directly; avoids running the validator machinery.
spec_dir = ENUMS_PY.parent
if str(spec_dir) not in sys.path:
sys.path.insert(0, str(spec_dir))
import enums # type: ignore[import-not-found]
out: dict[str, set[str]] = {}
for linkml_name, py_name in ENUM_MAPPING.items():
out[linkml_name] = set(getattr(enums, py_name))
return out, enums
def main() -> int:
linkml_doc = load_linkml_data()
linkml = load_linkml_enums()
py, enums_mod = load_python_enums()
drift = False
for enum_name in ENUM_MAPPING:
linkml_vals = linkml.get(enum_name, set())
py_vals = py.get(enum_name, set())
if linkml_vals != py_vals:
drift = True
print(f"[drift] {enum_name}:")
only_linkml = linkml_vals - py_vals
only_py = py_vals - linkml_vals
if only_linkml:
print(f" in LinkML only: {sorted(only_linkml)}")
if only_py:
print(f" in enums.py only: {sorted(only_py)}")
if TAXONOMY_DATA.exists():
tax_data = yaml.safe_load(TAXONOMY_DATA.read_text()) or {}
yaml_topics = {
t["id"]
for area in (tax_data.get("competency_areas") or [])
for t in (area.get("topics") or [])
if isinstance(t, dict) and "id" in t
}
py_topics = set(getattr(enums_mod, "VALID_TOPICS", set()))
if yaml_topics and yaml_topics != py_topics:
drift = True
print(f"[drift] VALID_TOPICS vs taxonomy_data.yaml: {sorted(yaml_topics ^ py_topics)}")
q_attrs = ((linkml_doc.get("classes") or {}).get("Question") or {}).get("attributes") or {}
q_subj_pat = (q_attrs.get("taxonomy_subject") or {}).get("pattern")
q_conc_pat = (q_attrs.get("taxonomy_concepts") or {}).get("pattern")
if ROOT_LINKML.exists():
root_doc = yaml.safe_load(ROOT_LINKML.read_text()) or {}
u_attrs = ((root_doc.get("classes") or {}).get("UnifiedConcept") or {}).get("attributes") or {}
root_subj_pat = (u_attrs.get("home") or {}).get("pattern")
root_conc_pat = (u_attrs.get("id") or {}).get("pattern")
if q_subj_pat != root_subj_pat or q_conc_pat != root_conc_pat:
drift = True
print(
f"[drift] taxonomy ID patterns: question_schema=({q_subj_pat}, {q_conc_pat}) vs mlsys-taxonomy.linkml=({root_subj_pat}, {root_conc_pat})"
)
if MODELS_PY.exists():
import re as _re
models_text = MODELS_PY.read_text()
subj_match = _re.search(r'_TAXONOMY_SUBJECT_RE\s*=\s*re\.compile\(r"([^"]+)"\)', models_text)
conc_match = _re.search(r'_TAXONOMY_CONCEPT_RE\s*=\s*re\.compile\(r"([^"]+)"\)', models_text)
m_subj_pat = subj_match.group(1) if subj_match else None
m_conc_pat = conc_match.group(1) if conc_match else None
if m_subj_pat != q_subj_pat or m_conc_pat != q_conc_pat:
drift = True
print(
f"[drift] models.py taxonomy regexes ({m_subj_pat}, {m_conc_pat}) disagree with question_schema.yaml ({q_subj_pat}, {q_conc_pat})"
)
if ML_TAXONOMY_PY.exists():
import re as _re
tax_text = ML_TAXONOMY_PY.read_text()
slug_match = _re.search(r'_SLUG_RE\s*=\s*re\.compile\(r"([^"]+)"\)', tax_text)
conc_match = _re.search(r'_CONCEPT_RE\s*=\s*re\.compile\(r"([^"]+)"\)', tax_text)
t_subj_pat = slug_match.group(1) if slug_match else None
t_conc_pat = conc_match.group(1) if conc_match else None
if t_subj_pat != q_subj_pat or t_conc_pat != q_conc_pat:
drift = True
print(
f"[drift] ml_systems_taxonomy.py regexes ({t_subj_pat}, {t_conc_pat}) disagree with question_schema.yaml ({q_subj_pat}, {q_conc_pat})"
)
if drift:
print()
print("FAIL: schema/enums.py or question_schema.yaml disagrees with the canonical LinkML schema.")
print("Update the drifted definitions, then re-run.")
return 1
print(f"OK: {len(ENUM_MAPPING)} enums and taxonomy patterns in sync.")
return 0
if __name__ == "__main__":
sys.exit(main())