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import hashlib
import json
from dataclasses import asdict, dataclass
from datetime import date
from pathlib import Path
from typing import Any
CORE_FRAME_FIELDS = {
"actor",
"action",
"object",
"condition",
"exception",
"temporal_constraint",
"modality",
"norm_category",
"confidence",
}
DECISION_OPERATORS = {"eq", "ne", "gt", "gte", "lt", "lte", "in", "not_in", "truthy", "falsy"}
@dataclass(frozen=True)
class ContractIssue:
severity: str
code: str
entity_id: str
message: str
def validate_corpus(corpus: dict[str, Any]) -> dict[str, Any]:
"""Validate identity, provenance and referential integrity before runtime use."""
issues: list[ContractIssue] = []
documents = corpus.get("documents", []) or []
concepts = corpus.get("concepts", []) or []
clauses = corpus.get("clauses", []) or []
evidence_spans = corpus.get("evidence_spans", []) or []
decision_contracts = corpus.get("decision_contracts", []) or []
relations = corpus.get("cross_document_edges", []) or []
document_ids = _unique_ids(documents, "document_id", "document", issues)
concept_ids = _unique_ids(concepts, "concept_id", "concept", issues)
clause_ids = _unique_ids(clauses, "clause_id", "clause", issues)
evidence_ids = _unique_ids(evidence_spans, "evidence_id", "evidence", issues)
_unique_ids(decision_contracts, "contract_id", "decision_contract", issues)
if not corpus.get("build_id"):
_add(issues, "error", "missing_build_id", "corpus", "Corpus build_id alanı zorunludur.")
for document in documents:
entity_id = str(document.get("document_id", ""))
for field in (
"title", "short_code", "source_path", "source_sha256", "version_id",
"authority_level", "validity_status", "source_authority", "source_snapshot_date",
"temporal_coverage", "jurisdiction", "authority_rank",
):
if not document.get(field):
_add(issues, "error", f"missing_document_{field}", entity_id, f"Belgede {field} alanı yok.")
snapshot = str(document.get("source_snapshot_date", "") or "")
try:
date.fromisoformat(snapshot)
except ValueError:
_add(issues, "error", "invalid_source_snapshot_date", entity_id, "Belge kaynak anlık görüntü tarihi ISO-8601 olmalıdır.")
reviewed_concepts = 0
answer_ready_concepts = 0
allowed_review_statuses = {"derived_from_structure", "human_reviewed", "expert_approved", "human_rejected"}
for concept in concepts:
entity_id = str(concept.get("concept_id", ""))
document_id = str(concept.get("document_id", ""))
if document_id not in document_ids:
_add(issues, "error", "unknown_concept_document", entity_id, "Concept bilinmeyen bir belgeye bağlı.")
if not entity_id.startswith(_id_prefix(document_id)):
_add(issues, "error", "unscoped_concept_id", entity_id, "Concept ID belge namespace'i taşımıyor.")
policy = concept.get("source_policy", {}) or {}
if policy.get("source_lock") is not True:
_add(issues, "error", "source_lock_disabled", entity_id, "Concept source_lock=true olmalıdır.")
metadata = concept.get("normative_metadata", {}) or {}
for field in ("regulates", "domain_path", "search_text", "provenance"):
if not metadata.get(field):
_add(
issues,
"error",
f"missing_normative_metadata_{field}",
entity_id,
f"Concept normative_metadata.{field} alanını taşımalıdır.",
)
review_status = str(metadata.get("review_status", "") or "")
if review_status not in allowed_review_statuses:
_add(issues, "error", "invalid_review_status", entity_id, f"Bilinmeyen uzman inceleme durumu: {review_status}.")
if review_status in {"human_reviewed", "expert_approved"}:
reviewed_concepts += 1
approved_summary = str(metadata.get("approved_summary", "") or "").strip()
if approved_summary:
if review_status != "expert_approved":
_add(issues, "error", "unapproved_canonical_summary", entity_id, "Kanonik kısa sonuç yalnız expert_approved hükümde yayımlanabilir.")
source = str(concept.get("source_text", "") or "").casefold()
invalid_terms = []
for point in metadata.get("approved_points", []) or []:
if not isinstance(point, dict) or not str(point.get("statement", "") or "").strip():
_add(issues, "error", "invalid_approved_point", entity_id, "Onaylı sonuç birimi statement taşımalıdır.")
continue
for term in point.get("evidence_terms", []) or []:
if str(term).casefold() not in source:
invalid_terms.append(str(term))
if invalid_terms:
_add(issues, "error", "approved_point_source_mismatch", entity_id, f"Onaylı sonuç kanıtı kaynakta yok: {', '.join(invalid_terms[:4])}.")
else:
answer_ready_concepts += 1
for clause in clauses:
entity_id = str(clause.get("clause_id", ""))
document_id = str(clause.get("document_id", ""))
parent_id = str(clause.get("parent_concept_id", ""))
if parent_id not in concept_ids:
_add(issues, "error", "orphan_clause", entity_id, "Clause parent concept bulunamadı.")
if not entity_id.startswith(_id_prefix(document_id)):
_add(issues, "error", "unscoped_clause_id", entity_id, "Clause ID belge namespace'i taşımıyor.")
low_confidence = 0
for evidence in evidence_spans:
entity_id = str(evidence.get("evidence_id", ""))
document_id = str(evidence.get("document_id", ""))
parent_id = str(evidence.get("parent_clause_id", ""))
if parent_id not in clause_ids:
_add(issues, "error", "orphan_evidence", entity_id, "Evidence parent clause bulunamadı.")
if not entity_id.startswith(_id_prefix(document_id)):
_add(issues, "error", "unscoped_evidence_id", entity_id, "Evidence ID belge namespace'i taşımıyor.")
if not str(evidence.get("source_text", "")).strip():
_add(issues, "error", "empty_evidence", entity_id, "Evidence kaynak metni boş.")
span = evidence.get("source_span", {}) or {}
if not isinstance(span.get("char_start"), int) or not isinstance(span.get("char_end"), int):
_add(issues, "error", "invalid_source_span", entity_id, "Evidence kaynak konumu geçersiz.")
frame = evidence.get("semantic_frame", {}) or {}
missing_frame = sorted(CORE_FRAME_FIELDS - set(frame))
if missing_frame:
_add(issues, "error", "incomplete_semantic_frame", entity_id, f"Eksik frame alanları: {', '.join(missing_frame)}")
if float(frame.get("confidence", 0.0) or 0.0) < 0.45:
low_confidence += 1
if evidence_spans and low_confidence / len(evidence_spans) > 0.45:
_add(
issues,
"warning",
"high_low_confidence_ratio",
"corpus",
f"Evidence kayıtlarının {low_confidence}/{len(evidence_spans)} kadarı düşük çıkarım güvenine sahip.",
)
article_refs = {
(str(item.get("document_id", "")), str(item.get("article_id", "")))
for item in [*concepts, *clauses]
if item.get("document_id") and item.get("article_id")
}
for contract in decision_contracts:
_validate_decision_contract(contract, document_ids, article_refs, issues)
for relation in relations:
relation_id = str(relation.get("edge_id", "") or "")
source_scope = (str(relation.get("source_document_id", "")), str(relation.get("source_article_id", "")))
target_scope = (str(relation.get("target_document_id", "")), str(relation.get("target_article_id", "")))
if source_scope not in article_refs or target_scope not in article_refs:
_add(issues, "error", "invalid_relation_scope", relation_id, "Belge ilişkisi corpus içinde bulunmayan hükme bağlanıyor.")
if relation.get("approved_interpretation") and relation.get("review_status") != "expert_approved":
_add(issues, "error", "unapproved_relation_interpretation", relation_id, "İlişki yorumu expert_approved olmalıdır.")
errors = [issue for issue in issues if issue.severity == "error"]
warnings = [issue for issue in issues if issue.severity == "warning"]
return {
"schema": "MCKF-ValidationReport-v1.2",
"build_id": corpus.get("build_id", ""),
"conforms": not errors,
"summary": {
"documents": len(documents),
"concepts": len(concepts),
"clauses": len(clauses),
"evidence_spans": len(evidence_spans),
"decision_contracts": len(decision_contracts),
"reviewed_concepts": reviewed_concepts,
"answer_ready_concepts": answer_ready_concepts,
"derived_concepts": max(0, len(concepts) - reviewed_concepts),
"review_coverage": round(reviewed_concepts / len(concepts), 4) if concepts else 0.0,
"errors": len(errors),
"warnings": len(warnings),
"low_confidence_evidence": low_confidence,
},
"issues": [asdict(issue) for issue in issues],
}
def assert_valid_corpus(corpus: dict[str, Any]) -> dict[str, Any]:
report = validate_corpus(corpus)
if not report["conforms"]:
preview = "; ".join(issue["code"] for issue in report["issues"][:8])
raise ValueError(f"MCKF contract validation failed: {preview}")
return report
def validate_rdf_graph(triples_path: Path, shapes_path: Path) -> dict[str, Any]:
"""Run SHACL when the semantic-web dependencies are installed."""
try:
from pyshacl import validate # type: ignore
from rdflib import Graph # type: ignore
except ImportError as exc:
return {
"status": "dependency_missing",
"conforms": False,
"message": str(exc),
}
data_graph = Graph()
data_graph.parse(triples_path, format="nt")
shapes_graph = Graph()
shapes_graph.parse(shapes_path, format="turtle")
conforms, results_graph, results_text = validate(
data_graph=data_graph,
shacl_graph=shapes_graph,
inference="rdfs",
abort_on_first=False,
allow_infos=True,
allow_warnings=True,
)
return {
"status": "ok" if conforms else "fail",
"conforms": bool(conforms),
"triple_count": len(data_graph),
"result_count": len(results_graph),
"message": str(results_text)[-4000:],
}
def file_sha256(path: Path) -> str:
digest = hashlib.sha256()
with path.open("rb") as handle:
for chunk in iter(lambda: handle.read(1024 * 1024), b""):
digest.update(chunk)
return digest.hexdigest()
def write_json_atomic(path: Path, payload: dict[str, Any]) -> None:
path.parent.mkdir(parents=True, exist_ok=True)
temporary = path.with_suffix(path.suffix + ".tmp")
temporary.write_text(json.dumps(payload, ensure_ascii=False, indent=2), encoding="utf-8")
temporary.replace(path)
def _unique_ids(rows: list[dict[str, Any]], field: str, kind: str, issues: list[ContractIssue]) -> set[str]:
seen: set[str] = set()
for row in rows:
entity_id = str(row.get(field, "") or "")
if not entity_id:
_add(issues, "error", f"missing_{kind}_id", kind, f"{kind} kimliği boş.")
continue
if entity_id in seen:
_add(issues, "error", f"duplicate_{kind}_id", entity_id, f"Aynı {kind} kimliği birden fazla kullanılmış.")
seen.add(entity_id)
return seen
def _id_prefix(document_id: str) -> str:
import re
return re.sub(r"\W+", "_", document_id.lower(), flags=re.UNICODE).strip("_") + "__"
def _validate_decision_contract(
contract: dict[str, Any],
document_ids: set[str],
article_refs: set[tuple[str, str]],
issues: list[ContractIssue],
) -> None:
contract_id = str(contract.get("contract_id", "") or "")
for field in ("version", "title", "decision_type", "input_schema", "rules", "review_status"):
if not contract.get(field):
_add(issues, "error", f"missing_decision_{field}", contract_id, f"Karar sözleşmesinde {field} alanı yok.")
if contract.get("review_status") != "expert_approved":
_add(issues, "error", "decision_contract_not_expert_approved", contract_id, "Çalıştırılabilir karar sözleşmesi expert_approved olmalıdır.")
if not contract.get("query_aliases") or not contract.get("fact_extractors"):
_add(issues, "error", "decision_contract_not_queryable", contract_id, "Karar sözleşmesi sorgu eş anlamları ve olgu çıkarıcıları taşımalıdır.")
source_refs = contract.get("source_refs", []) or []
if not source_refs:
_add(issues, "error", "missing_decision_source_refs", contract_id, "Karar sözleşmesi en az bir kaynak hükme bağlanmalıdır.")
for source in source_refs:
document_id = str(source.get("document_id", "") or "")
article_id = str(source.get("article_id", "") or "")
if document_id not in document_ids:
_add(issues, "error", "unknown_decision_document", contract_id, f"Bilinmeyen karar kaynağı: {document_id}.")
if article_id and (document_id, article_id) not in article_refs:
_add(issues, "error", "unknown_decision_article", contract_id, f"Kaynak hüküm corpus içinde bulunamadı: {document_id}::{article_id}.")
fields = ((contract.get("input_schema", {}) or {}).get("fields", {}) or {})
if not isinstance(fields, dict) or not fields:
_add(issues, "error", "empty_decision_input_schema", contract_id, "Karar sözleşmesinin olay veri şeması boş olamaz.")
fields = {}
rules = contract.get("rules", []) or []
rule_ids: set[str] = set()
for rule in rules:
rule_id = str(rule.get("rule_id", "") or "")
if not rule_id:
_add(issues, "error", "missing_decision_rule_id", contract_id, "Karar kuralı kimliği boş.")
elif rule_id in rule_ids:
_add(issues, "error", "duplicate_decision_rule_id", contract_id, f"Kural kimliği tekrar ediyor: {rule_id}.")
rule_ids.add(rule_id)
if "outcome" not in rule:
_add(issues, "error", "missing_decision_outcome", rule_id or contract_id, "Karar kuralında sonuç yok.")
if not isinstance(rule.get("priority", 0), int):
_add(issues, "error", "invalid_decision_priority", rule_id or contract_id, "Kural önceliği tam sayı olmalıdır.")
conditions = rule.get("when", {}) or {}
if not isinstance(conditions, dict) or not ({"all", "any"} & set(conditions)):
_add(issues, "error", "invalid_decision_conditions", rule_id or contract_id, "Kural koşulları all veya any listesi taşımalıdır.")
continue
for mode in ("all", "any"):
for condition in conditions.get(mode, []) or []:
fact = str(condition.get("fact", "") or "")
operator = str(condition.get("operator", "eq") or "eq")
if fact not in fields:
_add(issues, "error", "unknown_decision_fact", rule_id or contract_id, f"Koşul şemada olmayan olguyu kullanıyor: {fact}.")
if operator not in DECISION_OPERATORS:
_add(issues, "error", "unknown_decision_operator", rule_id or contract_id, f"Desteklenmeyen operatör: {operator}.")
for requirement in contract.get("judgment_requirements", []) or []:
fact = str(requirement.get("fact", "") or "")
if fact not in fields:
_add(issues, "error", "unknown_judgment_fact", contract_id, f"Değerlendirme alanı şemada yok: {fact}.")
if not requirement.get("reason"):
_add(issues, "error", "missing_judgment_reason", contract_id, "İnsan değerlendirmesi gereksinimi gerekçe taşımalıdır.")
_add(issues, "warning", "requires_legal_judgment", contract_id, str(requirement.get("reason", "")))
def _add(issues: list[ContractIssue], severity: str, code: str, entity_id: str, message: str) -> None:
issues.append(ContractIssue(severity, code, entity_id, message))
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