2023-12-22 19:49:39 +08:00

128 lines
4.7 KiB
Python

import json
from abc import ABC
from typing import Union, List, Dict
from knext.client.model.base import BaseSpgType
from knext.client.schema import SchemaClient
from knext.common.schema_helper import SPGTypeHelper, PropertyHelper
from knext.operator.op import PromptOp
from knext.operator.spg_record import SPGRecord
class AutoPrompt(PromptOp, ABC):
pass
class SPOPrompt(AutoPrompt):
template: str = """
已知SPO关系包括:[${schema}]。从下列句子中提取定义的这些关系。最终抽取结果以json格式输出。
input:${input}
输出格式为:{"spo":[{"subject":,"predicate":,"object":},]}
"output":
"""
def __init__(self,
spg_type_name: Union[str, SPGTypeHelper],
property_names: List[Union[str, PropertyHelper]],
custom_prompt: str = None):
super().__init__()
if custom_prompt:
self.template = custom_prompt
schema_client = SchemaClient()
spg_type = schema_client.query_spg_type(spg_type_name=spg_type_name)
self.spg_type_name = spg_type_name
self.predicate_zh_to_en_name = {}
self.predicate_type_zh_to_en_name = {}
for k, v in spg_type.properties.items():
self.predicate_zh_to_en_name[v.name_zh] = k
self.predicate_type_zh_to_en_name[v.name_zh] = v.object_type_name
self._render(spg_type, property_names)
self.params = {
"spg_type_name": spg_type_name,
"property_names": property_names,
"custom_prompt": custom_prompt,
}
def build_prompt(self, variables: Dict[str, str]) -> str:
return self.template.replace("${input}", variables.get("input"))
def parse_response(self, response: str) -> List[SPGRecord]:
print(response)
result = []
subject = {}
re_obj = json.loads(response)
# re_obj = {
# "spo": [
# {
# "subject": "甲状腺结节",
# "predicate": "常见症状",
# "object": "甲状腺结节"
# },
# {
# "subject": "甲状腺结节",
# "predicate": "适用药品",
# "object": "放射性碘治疗,复方碘口服液(Lugol液),抗甲状腺药物,硫脲类化合物,丙基硫氧嘧啶(PTU),甲基硫氧嘧啶(MTU),咪唑类的甲硫咪唑和卡比马唑"
# }
# ]
# }
if "spo" not in re_obj.keys():
raise ValueError("SPO format error.")
subject_properties = {}
for spo_item in re_obj.get("spo", []):
if spo_item["predicate"] not in self.predicate_zh_to_en_name:
continue
subject_properties = {"id": spo_item["subject"], "name": spo_item["subject"]}
if spo_item["subject"] not in subject:
subject[spo_item["subject"]] = subject_properties
else:
subject_properties = subject[spo_item["subject"]]
# 获取属性类型
spo_en_name = self.predicate_zh_to_en_name[spo_item["predicate"]]
if spo_en_name in subject_properties and len(
subject_properties[spo_en_name]
):
subject_properties[spo_en_name] = (
subject_properties[spo_en_name] + "," + spo_item["object"]
)
else:
subject_properties[spo_en_name] = spo_item["object"]
# for k, val in subject.items():
subject_entity = SPGRecord(spg_type_name=self.spg_type_name, properties=subject_properties)
result.append(subject_entity)
return result
def build_variables(self, variables: Dict[str, str], response: str) -> List[Dict[str, str]]:
re_obj = json.loads(response)
# re_obj = {
# "spo": [
# {
# "subject": "甲状腺结节",
# "predicate": "常见症状",
# "object": "甲状腺结节"
# },
# {
# "subject": "甲状腺结节",
# "predicate": "适用药品",
# "object": "放射性碘治疗,复方碘口服液(Lugol液),抗甲状腺药物,硫脲类化合物,丙基硫氧嘧啶(PTU),甲基硫氧嘧啶(MTU),咪唑类的甲硫咪唑和卡比马唑"
# }
# ]
# }
if "spo" not in re_obj.keys():
raise ValueError("SPO format error.")
re = re_obj.get("spo", [])
return [{"input": variables.get("input"), "spo": str(i)} for i in re]
def _render(self, spg_type: BaseSpgType, property_names: List[str]):
spos = []
for property_name in property_names:
if property_name in ["id", "name", "description"]:
continue
prop = spg_type.properties.get(property_name)
spos.append(f'{spg_type.name_zh}({spg_type.desc or spg_type.name_zh})-{prop.name_zh}-{prop.object_type_name_zh}')
schema_text = ','.join(spos)
self.template = self.template.replace("${schema}", schema_text)