cli.py
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"""CLI: build annotations, batch eval, audit, serve web UI."""
from __future__ import annotations
import argparse
import json
from pathlib import Path
from .constants import DEFAULT_LABELER_MODE, DEFAULT_QUERY_FILE
from .framework import SearchEvaluationFramework
from .utils import ensure_dir, utc_now_iso, utc_timestamp
from .web_app import create_web_app
def build_cli_parser() -> argparse.ArgumentParser:
parser = argparse.ArgumentParser(description="Search evaluation annotation builder and web UI")
sub = parser.add_subparsers(dest="command", required=True)
build = sub.add_parser("build", help="Build pooled annotation set for queries")
build.add_argument("--tenant-id", default="163")
build.add_argument("--queries-file", default=str(DEFAULT_QUERY_FILE))
build.add_argument("--search-depth", type=int, default=1000)
build.add_argument("--rerank-depth", type=int, default=10000)
build.add_argument("--annotate-search-top-k", type=int, default=120)
build.add_argument("--annotate-rerank-top-k", type=int, default=200)
build.add_argument("--language", default="en")
build.add_argument("--force-refresh-rerank", action="store_true")
build.add_argument("--force-refresh-labels", action="store_true")
build.add_argument("--labeler-mode", default=DEFAULT_LABELER_MODE, choices=["simple", "complex"])
batch = sub.add_parser("batch", help="Run batch evaluation against live search")
batch.add_argument("--tenant-id", default="163")
batch.add_argument("--queries-file", default=str(DEFAULT_QUERY_FILE))
batch.add_argument("--top-k", type=int, default=100)
batch.add_argument("--language", default="en")
batch.add_argument("--force-refresh-labels", action="store_true")
batch.add_argument("--labeler-mode", default=DEFAULT_LABELER_MODE, choices=["simple", "complex"])
audit = sub.add_parser("audit", help="Audit annotation quality for queries")
audit.add_argument("--tenant-id", default="163")
audit.add_argument("--queries-file", default=str(DEFAULT_QUERY_FILE))
audit.add_argument("--top-k", type=int, default=100)
audit.add_argument("--language", default="en")
audit.add_argument("--limit-suspicious", type=int, default=5)
audit.add_argument("--force-refresh-labels", action="store_true")
audit.add_argument("--labeler-mode", default=DEFAULT_LABELER_MODE, choices=["simple", "complex"])
serve = sub.add_parser("serve", help="Serve evaluation web UI on port 6010")
serve.add_argument("--tenant-id", default="163")
serve.add_argument("--queries-file", default=str(DEFAULT_QUERY_FILE))
serve.add_argument("--host", default="0.0.0.0")
serve.add_argument("--port", type=int, default=6010)
serve.add_argument("--labeler-mode", default=DEFAULT_LABELER_MODE, choices=["simple", "complex"])
return parser
def run_build(args: argparse.Namespace) -> None:
framework = SearchEvaluationFramework(tenant_id=args.tenant_id, labeler_mode=args.labeler_mode)
queries = framework.queries_from_file(Path(args.queries_file))
summary = []
for query in queries:
result = framework.build_query_annotation_set(
query=query,
search_depth=args.search_depth,
rerank_depth=args.rerank_depth,
annotate_search_top_k=args.annotate_search_top_k,
annotate_rerank_top_k=args.annotate_rerank_top_k,
language=args.language,
force_refresh_rerank=args.force_refresh_rerank,
force_refresh_labels=args.force_refresh_labels,
)
summary.append(
{
"query": result.query,
"search_total": result.search_total,
"search_depth": result.search_depth,
"rerank_corpus_size": result.rerank_corpus_size,
"annotated_count": result.annotated_count,
"output_json_path": str(result.output_json_path),
}
)
print(
f"[build] query={result.query!r} search_total={result.search_total} "
f"search_depth={result.search_depth} corpus={result.rerank_corpus_size} "
f"annotated={result.annotated_count} output={result.output_json_path}"
)
out_path = ensure_dir(framework.artifact_root / "query_builds") / f"build_summary_{utc_timestamp()}.json"
out_path.write_text(json.dumps(summary, ensure_ascii=False, indent=2), encoding="utf-8")
print(f"[done] summary={out_path}")
def run_batch(args: argparse.Namespace) -> None:
framework = SearchEvaluationFramework(tenant_id=args.tenant_id, labeler_mode=args.labeler_mode)
queries = framework.queries_from_file(Path(args.queries_file))
payload = framework.batch_evaluate(
queries=queries,
top_k=args.top_k,
auto_annotate=True,
language=args.language,
force_refresh_labels=args.force_refresh_labels,
)
print(f"[done] batch_id={payload['batch_id']} aggregate_metrics={payload['aggregate_metrics']}")
def run_audit(args: argparse.Namespace) -> None:
framework = SearchEvaluationFramework(tenant_id=args.tenant_id, labeler_mode=args.labeler_mode)
queries = framework.queries_from_file(Path(args.queries_file))
audit_items = []
for query in queries:
item = framework.audit_live_query(
query=query,
top_k=args.top_k,
language=args.language,
auto_annotate=not args.force_refresh_labels,
)
if args.force_refresh_labels:
live_payload = framework.search_client.search(query=query, size=max(args.top_k, 100), from_=0, language=args.language)
framework.annotate_missing_labels(
query=query,
docs=list(live_payload.get("results") or [])[: args.top_k],
force_refresh=True,
)
item = framework.audit_live_query(
query=query,
top_k=args.top_k,
language=args.language,
auto_annotate=False,
)
audit_items.append(
{
"query": query,
"metrics": item["metrics"],
"distribution": item["distribution"],
"suspicious_count": len(item["suspicious"]),
"suspicious_examples": item["suspicious"][: args.limit_suspicious],
}
)
print(
f"[audit] query={query!r} suspicious={len(item['suspicious'])} metrics={item['metrics']}"
)
summary = {
"created_at": utc_now_iso(),
"tenant_id": args.tenant_id,
"top_k": args.top_k,
"query_count": len(queries),
"total_suspicious": sum(item["suspicious_count"] for item in audit_items),
"queries": audit_items,
}
out_path = ensure_dir(framework.artifact_root / "audits") / f"audit_{utc_timestamp()}.json"
out_path.write_text(json.dumps(summary, ensure_ascii=False, indent=2), encoding="utf-8")
print(f"[done] audit={out_path}")
def run_serve(args: argparse.Namespace) -> None:
framework = SearchEvaluationFramework(tenant_id=args.tenant_id, labeler_mode=args.labeler_mode)
app = create_web_app(framework, Path(args.queries_file))
import uvicorn
uvicorn.run(app, host=args.host, port=args.port, log_level="info")
def main() -> None:
parser = build_cli_parser()
args = parser.parse_args()
if args.command == "build":
run_build(args)
return
if args.command == "batch":
run_batch(args)
return
if args.command == "audit":
run_audit(args)
return
if args.command == "serve":
run_serve(args)
return
raise SystemExit(f"unknown command: {args.command}")