warden-eval / run_eval.py
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Clarify that --space needs a Gradio deployment; the published Space is static
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#!/usr/bin/env python3
"""Run the Warden evaluation set against a Warden instance.
Two modes, neither of which needs anything beyond the standard library
(plus gradio_client for the remote mode):
# against a local checkout of the Space
python run_eval.py --app /path/to/app.py
# against a Gradio deployment of Warden that exposes an HTTP API
python run_eval.py --space <user>/<space>
NOTE: the published Space (NagaYu/warden) is a STATIC build - the engine runs in the
browser and exposes no HTTP API, so --space does not apply to it. Use --app against a
local checkout, or --space against your own Gradio deployment.
Exit status is 0 only when every case agrees with its label.
"""
import argparse
import importlib.util
import json
import os
import sys
HERE = os.path.dirname(os.path.abspath(__file__))
def load_jsonl(name):
"""Guarantees: reads one JSON object per line, ignoring blank lines."""
path = os.path.join(HERE, "data", name)
with open(path, "r", encoding="utf-8") as fh:
return [json.loads(line) for line in fh if line.strip()]
def load_app(app_path):
"""Guarantees: imports a Warden app.py by path without touching sys.path order."""
spec = importlib.util.spec_from_file_location("warden_app", app_path)
module = importlib.util.module_from_spec(spec)
sys.modules["warden_app"] = module
spec.loader.exec_module(module)
return module
def run_local(app_path):
"""Guarantees: evaluates every case in-process and returns (results, failures)."""
app = load_app(app_path)
results, failures = [], []
for row in load_jsonl("classification.jsonl"):
got = app.classify(row["text"])["level"]
ok = got == row["expected_level"]
results.append(("classification", row["id"], row["expected_level"], got, ok))
if not ok:
failures.append((row["id"], row["expected_level"], got, row["note"]))
for row in load_jsonl("decision.jsonl"):
level = app.classify(row["text"])["level"]
out = app.PolicyEngine.evaluate(row["subject"], level, row["destination"], row["purpose"])
got = (out["verdict"], out["rule_id"])
want = (row["expected_verdict"], row["expected_rule_id"])
ok = got == want
results.append(("decision", row["id"], "/".join(want), "/".join(got), ok))
if not ok:
failures.append((row["id"], "/".join(want), "/".join(got), row["note"]))
return results, failures
def run_remote(space):
"""Guarantees: evaluates every case through the public API and returns (results, failures).
Requires a Gradio deployment. The published Space is static and has no HTTP API.
"""
from gradio_client import Client
client = Client(space)
results, failures = [], []
for row in load_jsonl("classification.jsonl"):
payload = client.predict(
"eval", row["text"], "self-hosted", "summarize", 0, "", api_name="/decide")[0]
got = payload["classification"]["level"]
ok = got == row["expected_level"]
results.append(("classification", row["id"], row["expected_level"], got, ok))
if not ok:
failures.append((row["id"], row["expected_level"], got, row["note"]))
for row in load_jsonl("decision.jsonl"):
payload = client.predict(
row["subject"], row["text"], row["destination"], row["purpose"], 0, "",
api_name="/decide")[0]
got = (payload["verdict"], payload["rule_id"])
want = (row["expected_verdict"], row["expected_rule_id"])
ok = got == want
results.append(("decision", row["id"], "/".join(want), "/".join(got), ok))
if not ok:
failures.append((row["id"], "/".join(want), "/".join(got), row["note"]))
return results, failures
def main():
parser = argparse.ArgumentParser(description=__doc__,
formatter_class=argparse.RawDescriptionHelpFormatter)
group = parser.add_mutually_exclusive_group(required=True)
group.add_argument("--app", help="path to a local Warden app.py")
group.add_argument("--space", help="a Gradio deployment exposing the decide API "
"(NOT the published static Space, which has no API)")
parser.add_argument("--verbose", action="store_true", help="print every case, not just failures")
args = parser.parse_args()
results, failures = (run_local(args.app) if args.app else run_remote(args.space))
if args.verbose:
for kind, case_id, want, got, ok in results:
print("%s %-12s %-16s expected=%-22s got=%s"
% ("PASS" if ok else "FAIL", kind, case_id, want, got))
total = len(results)
passed = sum(1 for r in results if r[4])
print("\n%d / %d cases agree" % (passed, total))
if failures:
print("\nMismatches:")
for case_id, want, got, note in failures:
print(" %-12s expected=%-22s got=%-22s (%s)" % (case_id, want, got, note))
print("\nA mismatch is not automatically a bug: if you changed the policy or the")
print("classifier configuration, these labels describe the OLD behaviour. Decide")
print("which one is wrong before changing either.")
return 1
print("Every case matches its label.")
return 0
if __name__ == "__main__":
sys.exit(main())