Files
ai-device/intelligent_cabin/archive/scripts/eval_joint_bert_nlu.py
2026-06-11 16:28:00 +08:00

60 lines
2.0 KiB
Python

from __future__ import annotations
import argparse
import json
import sys
from pathlib import Path
PROJECT_ROOT = Path(__file__).resolve().parents[1]
if str(PROJECT_ROOT) not in sys.path:
sys.path.insert(0, str(PROJECT_ROOT))
from app.core.bootstrap import build_intent_registry
from app.services.joint_nlu import JointBertNLU
def main() -> None:
parser = argparse.ArgumentParser(description="评测 Joint BERT NLU 单句意图与槽位输出")
parser.add_argument("--text", type=str, required=True, help="待评测文本")
parser.add_argument("--model-path", type=str, default="models/local_joint_bert_nlu", help="模型目录")
args = parser.parse_args()
registry = build_intent_registry()
nlu = JointBertNLU(model_path=args.model_path)
result = nlu.predict(args.text, registry.list())
print(
json.dumps(
{
"text": args.text,
"intent_id": result.intent_id,
"intent_score": round(result.intent_score, 4),
"candidates": [
{"intent_id": item.intent_id, "score": round(item.score, 4)}
for item in result.candidates
],
"multi_intent_candidates": [
{"intent_id": item.intent_id, "score": round(item.score, 4)}
for item in result.multi_intent_candidates
],
"slots": result.slots,
"slot_items": [
{
"slot_name": item.slot_name,
"value": item.value,
"start": item.start,
"end": item.end,
"score": item.score,
}
for item in result.slot_items
],
"error_message": result.error_message,
},
ensure_ascii=False,
indent=2,
)
)
if __name__ == "__main__":
main()