99 lines
3.8 KiB
Python
99 lines
3.8 KiB
Python
import json
|
||
import time
|
||
from typing import List, Union
|
||
|
||
from .global_logger import logger
|
||
from . import prompt_template
|
||
from .lpmmconfig import global_config, INVALID_ENTITY
|
||
from .llm_client import LLMClient
|
||
from src.chat.knowledge.utils.json_fix import new_fix_broken_generated_json
|
||
|
||
|
||
def _entity_extract(llm_client: LLMClient, paragraph: str) -> List[str]:
|
||
"""对段落进行实体提取，返回提取出的实体列表（JSON格式）"""
|
||
entity_extract_context = prompt_template.build_entity_extract_context(paragraph)
|
||
_, request_result = llm_client.send_chat_request(
|
||
global_config["entity_extract"]["llm"]["model"], entity_extract_context
|
||
)
|
||
|
||
# 去除‘{’前的内容（结果中可能有多个‘{’）
|
||
if "[" in request_result:
|
||
request_result = request_result[request_result.index("[") :]
|
||
|
||
# 去除最后一个‘}’后的内容（结果中可能有多个‘}’）
|
||
if "]" in request_result:
|
||
request_result = request_result[: request_result.rindex("]") + 1]
|
||
|
||
entity_extract_result = json.loads(new_fix_broken_generated_json(request_result))
|
||
|
||
entity_extract_result = [
|
||
entity
|
||
for entity in entity_extract_result
|
||
if (entity is not None) and (entity != "") and (entity not in INVALID_ENTITY)
|
||
]
|
||
|
||
if len(entity_extract_result) == 0:
|
||
raise Exception("实体提取结果为空")
|
||
|
||
return entity_extract_result
|
||
|
||
|
||
def _rdf_triple_extract(llm_client: LLMClient, paragraph: str, entities: list) -> List[List[str]]:
|
||
"""对段落进行实体提取，返回提取出的实体列表（JSON格式）"""
|
||
entity_extract_context = prompt_template.build_rdf_triple_extract_context(
|
||
paragraph, entities=json.dumps(entities, ensure_ascii=False)
|
||
)
|
||
_, request_result = llm_client.send_chat_request(global_config["rdf_build"]["llm"]["model"], entity_extract_context)
|
||
|
||
# 去除‘{’前的内容（结果中可能有多个‘{’）
|
||
if "[" in request_result:
|
||
request_result = request_result[request_result.index("[") :]
|
||
|
||
# 去除最后一个‘}’后的内容（结果中可能有多个‘}’）
|
||
if "]" in request_result:
|
||
request_result = request_result[: request_result.rindex("]") + 1]
|
||
|
||
entity_extract_result = json.loads(new_fix_broken_generated_json(request_result))
|
||
|
||
for triple in entity_extract_result:
|
||
if len(triple) != 3 or (triple[0] is None or triple[1] is None or triple[2] is None) or "" in triple:
|
||
raise Exception("RDF提取结果格式错误")
|
||
|
||
return entity_extract_result
|
||
|
||
|
||
def info_extract_from_str(
|
||
llm_client_for_ner: LLMClient, llm_client_for_rdf: LLMClient, paragraph: str
|
||
) -> Union[tuple[None, None], tuple[list[str], list[list[str]]]]:
|
||
try_count = 0
|
||
while True:
|
||
try:
|
||
entity_extract_result = _entity_extract(llm_client_for_ner, paragraph)
|
||
break
|
||
except Exception as e:
|
||
logger.warning(f"实体提取失败，错误信息：{e}")
|
||
try_count += 1
|
||
if try_count < 3:
|
||
logger.warning("将于5秒后重试")
|
||
time.sleep(5)
|
||
else:
|
||
logger.error("实体提取失败，已达最大重试次数")
|
||
return None, None
|
||
|
||
try_count = 0
|
||
while True:
|
||
try:
|
||
rdf_triple_extract_result = _rdf_triple_extract(llm_client_for_rdf, paragraph, entity_extract_result)
|
||
break
|
||
except Exception as e:
|
||
logger.warning(f"实体提取失败，错误信息：{e}")
|
||
try_count += 1
|
||
if try_count < 3:
|
||
logger.warning("将于5秒后重试")
|
||
time.sleep(5)
|
||
else:
|
||
logger.error("实体提取失败，已达最大重试次数")
|
||
return None, None
|
||
|
||
return entity_extract_result, rdf_triple_extract_result
|