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6252f54 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 | """Compliance verifier — checks roadmap against governance standards."""
import json
import logging
from backend.graph.neo4j_client import Neo4jClient
from backend.graph.cypher_queries import GET_STANDARDS_FOR_DOMAIN_NAMES
from backend.llm.client import LLMClient, extract_json
from backend.schemas.response import RoadmapPhase, ComplianceSummary
log = logging.getLogger(__name__)
VERIFY_PROMPT = """You are an Enterprise Architecture compliance auditor.
Review the following roadmap against the applicable governance standards and identify gaps.
NOTE: Acceptance Criteria prefixed with "[Compliance]" explicitly satisfy governance compliance requirements.
Acceptance Criteria prefixed with "[KPI]" are measurable performance indicators.
Count these as FULFILLED requirements — do not flag them as missing.
ROADMAP SUMMARY:
{roadmap_summary}
APPLICABLE STANDARDS:
{standards_context}
Check:
1. Are all compliance_requirements from each standard present as "[Compliance]" ACs? (they count as covered)
2. Are there dependency violations (high-complexity items scheduled before foundations)?
3. Are KPIs measurable and time-bound?
4. Are risk factors addressed in the epics?
Return JSON:
{{
"score": <integer 0-100>,
"issues": ["issue1", "issue2", ...],
"recommendations": ["rec1", "rec2", ...],
"standards_covered": ["std1", "std2", ...]
}}
If most compliance requirements are tagged as [Compliance] ACs, score should be 75-90.
Score < 70 means significant governance gaps remain."""
def _summarise_roadmap(phases: list[RoadmapPhase]) -> str:
lines: list[str] = []
for phase in phases:
lines.append(f"\n=== Phase {phase.phase_number}: {phase.phase_name} ===")
for epic in phase.epics[:5]:
lines.append(f" Epic: {epic.title}")
if epic.governance_reference:
lines.append(f" Standard ref: {epic.governance_reference}")
# Always include compliance ACs explicitly so verifier can see them
comp_acs = [ac for ac in epic.acceptance_criteria if ac.startswith("[Compliance]")]
other_acs = [ac for ac in epic.acceptance_criteria if not ac.startswith("[Compliance]")][:2]
all_acs = comp_acs + other_acs
if all_acs:
lines.append(f" ACs: {'; '.join(all_acs[:8])}")
return "\n".join(lines)[:5000]
class VerifierAgent:
def __init__(self, neo4j: Neo4jClient, llm: LLMClient):
self.neo4j = neo4j
self.llm = llm
def _get_domain_names(self, phases: list[RoadmapPhase]) -> list[str]:
names: set[str] = set()
for phase in phases:
for epic in phase.epics:
if epic.governance_reference:
# governance_reference format: "StandardName — Publisher"
# subdomain_group holds the subdomain name, not domain
pass
# Fall back: collect all unique governance references
for phase in phases:
for epic in phase.epics:
ref = epic.governance_reference or ""
if ref:
names.add(ref.split("—")[0].strip())
return list(names) or ["Digital Transformation"]
def _fetch_standards_context(self, domain_names: list[str]) -> str:
try:
# Fetch by standard names that appear in governance_reference
rows = self.neo4j.run_query(
"""
MATCH (domain:Domain)-[:GOVERNED_BY]->(std:Standard)
WHERE std.name IN $domain_names
RETURN std.name AS name,
std.compliance_requirements AS reqs,
std.key_principles AS principles
LIMIT 10
""",
domain_names=domain_names,
)
if not rows:
return "No specific standards context available."
parts = []
for r in rows:
reqs = r.get("reqs") or []
parts.append(
f"Standard: {r['name']}\n"
f" Requirements: {'; '.join(reqs[:5])}"
)
return "\n".join(parts)
except Exception as exc:
log.warning(f"Could not fetch standards for verification: {exc}")
return "Standards context unavailable."
async def verify(self, phases: list[RoadmapPhase]) -> ComplianceSummary:
domain_names = self._get_domain_names(phases)
standards_ctx = self._fetch_standards_context(domain_names)
roadmap_summary = _summarise_roadmap(phases)
prompt = VERIFY_PROMPT.format(
roadmap_summary=roadmap_summary,
standards_context=standards_ctx,
)
try:
raw = await self.llm.chat(
messages=[{"role": "user", "content": prompt}],
max_tokens=1024,
temperature=0.2,
)
parsed = extract_json(raw)
if isinstance(parsed, dict):
return ComplianceSummary(
score=int(parsed.get("score") or 0),
issues=parsed.get("issues") or [],
recommendations=parsed.get("recommendations") or [],
standards_covered=parsed.get("standards_covered") or domain_names,
)
except Exception as exc:
log.warning(f"Verification LLM call failed: {exc}")
# Fallback: basic structural check
issues: list[str] = []
for phase in phases:
for epic in phase.epics:
if not epic.acceptance_criteria:
issues.append(f"Epic '{epic.title}' has no acceptance criteria")
score = max(50, 100 - len(issues) * 10)
return ComplianceSummary(score=score, issues=issues, recommendations=[], standards_covered=[])
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