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coyote/assets/agents/adversary/scripts/verdict.py
T

103 lines
3.6 KiB
Python

#!/usr/bin/env python3
"""Deterministic conformance verdict for the adversary graph.
CONFORMS requires: at least one criterion, every criterion MET, and zero
holistic complaints. Everything else — including a missing plan — is
DIVERGES (fail-closed). Assembles the exact sentinel format the callers
route on. Never crashes into a silent verdict.
"""
import json
import os
def load_state():
if path := os.environ.get("GRAPH_STATE_FILE"):
with open(path) as f:
return json.load(f)
return json.loads(os.environ.get("GRAPH_STATE", "{}"))
def main():
state = load_state()
verdicts = [v for v in (state.get("crit_verdicts") or []) if isinstance(v, dict)]
extra = [c for c in (state.get("extra_complaints") or []) if isinstance(c, dict)]
observations = (state.get("observations") or "").strip()
n = len(verdicts)
met = [v for v in verdicts if v.get("status") == "MET"]
partial = [v for v in verdicts if v.get("status") == "PARTIAL"]
bad = [v for v in verdicts if v.get("status") in ("UNMET", "DIVERGED")]
lines = []
if n == 0:
lines.append("ADVERSARIAL_REVIEW: DIVERGES")
lines.append("Criteria: none provided.")
lines.append("Complaints:")
lines.append(
"1. No acceptance criteria were provided or extractable — conformance cannot "
"be judged without a spec (fail-closed). Supply the plan's Objective/Tasks/"
"Acceptance criteria and re-run."
)
elif not partial and not bad and not extra:
lines.append("ADVERSARIAL_REVIEW: CONFORMS")
lines.append(f"Criteria: {n}/{n} met (all with tests).")
if observations:
lines.append("")
lines.append("Non-blocking observations:")
lines.append(observations)
else:
lines.append("ADVERSARIAL_REVIEW: DIVERGES")
lines.append(
f"Criteria: {len(met)}/{n} met, {len(partial)} partial, {len(bad)} unmet/diverged."
)
lines.append("Complaints:")
i = 0
for v in verdicts:
if v.get("status") == "MET":
continue
i += 1
text = (v.get("text") or "").strip().replace("\n", " ")
if len(text) > 140:
text = text[:137] + "…"
lines.append(
f'{i}. Acceptance criterion "{text}" — {v.get("status", "?").title()} — '
f'{(v.get("complaint") or "").strip()}'
)
for c in extra:
i += 1
lines.append(
f"{i}. {c.get('kind', 'violation')} — {c.get('location', '?')} — "
f"{c.get('violation', '')} — {c.get('fix', '')}"
)
if observations:
lines.append("")
lines.append("Non-blocking observations:")
lines.append(observations)
# Per-criterion evidence appendix (MET entries, for auditability).
if met:
lines.append("")
lines.append("Met criteria (evidence):")
for v in met:
text = (v.get("text") or "").strip().replace("\n", " ")
if len(text) > 100:
text = text[:97] + "…"
lines.append(f'- "{text}" — {(v.get("evidence") or "").strip()}')
print(json.dumps({"adv_report": "\n".join(lines)}))
try:
main()
except Exception as e: # noqa: BLE001 — never a silent verdict
print(
json.dumps(
{
"adv_report": (
"ADVERSARIAL_REVIEW: DIVERGES\n"
f"Criteria: verdict computation error: {e} — treat as failed, not as conforming."
)
}
)
)