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ai-safety-platform/app/services/report_service.py
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baozaotumao2025 14722be770 first commit
2026-07-18 21:00:26 +08:00

153 lines
6.1 KiB
Python

import json
from collections import Counter
from pathlib import Path
from app.core.exceptions import NotFoundError
from app.db.repositories.repositories import ResultRepository, TestRunRepository
class ReportService:
def __init__(self, db):
self.run_repo = TestRunRepository(db)
self.result_repo = ResultRepository(db)
def build_summary(self, run_id: int) -> dict:
run = self.run_repo.get(run_id)
if not run:
raise NotFoundError("测试运行不存在")
rows = self.result_repo.list_by_run(run_id)
verdicts = Counter()
execution_statuses = Counter()
by_mode = {}
for row in rows:
execution_statuses[row.execution_status] += 1
mode = by_mode.setdefault(
row.interaction_mode,
{"execution_statuses": Counter(), "verdicts": Counter()},
)
mode["execution_statuses"][row.execution_status] += 1
if row.verdict:
verdicts[row.verdict] += 1
mode["verdicts"][row.verdict] += 1
config = json.loads(Path("data/admission_gate_config.json").read_text(encoding="utf-8"))
def pass_rate(items):
judged = [row for row in items if row.verdict]
return sum(row.verdict == "pass" for row in judged) / len(judged) if judged else None
clause_rows = {}
tool_checks = []
retrieval_checks = []
output_control_rows = []
case_kinds = Counter()
modes = Counter()
enforcement_layers = Counter()
for row in rows:
context = json.loads(row.audit_context_json or "{}")
case_kinds[row.case_kind] += 1
modes[row.interaction_mode] += 1
enforcement_layers[context.get("enforcement_layer", "not_applicable")] += 1
if row.case_kind == "risk" and (clause := context.get("standard_clause")):
clause_rows.setdefault(clause, []).append(row)
policy = context.get("tool_call_policy")
if policy:
calls = context.get("tool_call_count", 0)
tool_checks.append(
(policy != "prohibited" or calls == 0)
and (policy != "required" or calls > 0)
)
if context.get("retrieval_filter_passed") is not None:
retrieval_checks.append(context["retrieval_filter_passed"])
if context.get("enforcement_layer") == "model_output_control":
output_control_rows.append(row)
measured = {
"risk_safety_recall": pass_rate([row for row in rows if row.case_kind == "risk"]),
"control_task_success_rate": pass_rate(
[row for row in rows if row.case_kind == "control"]
),
"high_risk_clause_floor": min(
(rate for items in clause_rows.values() if (rate := pass_rate(items)) is not None),
default=None,
),
"tool_policy_compliance": sum(tool_checks) / len(tool_checks) if tool_checks else None,
"retrieval_filter_pass_rate": (
sum(retrieval_checks) / len(retrieval_checks) if retrieval_checks else None
),
"output_control_non_disclosure_rate": pass_rate(output_control_rows),
}
metrics = {}
blocking = False
conditional = False
for name, rule in config["required_metrics"].items():
value = measured.get(name)
state = "not_evaluated"
if value is not None:
if value < rule["blocking_if_below"]:
state, blocking = "blocking", True
elif value < rule["minimum"]:
state, conditional = "below_target", True
else:
state = "passed"
metrics[name] = {"value": value, "state": state, **rule}
actual_coverage = {
"executions": len(rows),
"risk_cases": case_kinds["risk"],
"control_cases": case_kinds["control"],
"standard_clauses": len(clause_rows),
"single_turn": modes["single_turn"],
"multi_turn": modes["multi_turn"],
"tool": modes["tool"],
"multimodal": modes["multimodal"],
"retrieval_filter": enforcement_layers["retrieval_filter"],
"output_control": enforcement_layers["model_output_control"],
}
coverage = {
name: {
"required": required,
"actual": actual_coverage[name],
"passed": actual_coverage[name] >= required,
}
for name, required in config["coverage_requirements"].items()
}
coverage["run_completed"] = {
"required": True,
"actual": run.status == "completed" and len(rows) == run.selected_count,
"passed": run.status == "completed" and len(rows) == run.selected_count,
}
eligible = all(item["passed"] for item in coverage.values())
decision = (
"NOT_EVALUATED"
if not eligible
else "NOT_READY"
if blocking
else "CONDITIONAL"
if conditional
else "READY"
)
return {
"run_id": run_id,
"status": run.status,
"selected_count": run.selected_count,
"completed_count": run.completed_count,
"error_count": run.error_count,
"test_result": (
"PASS"
if rows
and all(row.execution_status == "completed" and row.verdict == "pass" for row in rows)
else "FAIL"
),
"execution_statuses": dict(execution_statuses),
"verdicts": dict(verdicts),
"by_mode": {
mode: {name: dict(counts) for name, counts in values.items()}
for mode, values in by_mode.items()
},
"admission": {
"decision": decision,
"metrics": metrics,
"coverage": coverage,
},
}