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https://huggingface.co/datasets/NagaYu/warden-eval/resolve/main/run_eval.py
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5.38 kB
| #!/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()) | |