内部记录_调用到的api数据说明 - HMIP3.0以及NLP使用说明

### get_terminal_info 配置信息
> 初始化时获取的数据 有场景值

### get_context 上下文
>上下文数据

### alg_tsl_client.preprocess 预处理
>预处理  load_prep

###     def get_system_message(self, keys=None)  系统信息
> 系统信息

###    用户画像
http://10.89.100.22:8181/NLP/biz-user-portrait
> 上传用户画像

###  qa 返回 reply

tmp_results = bot_qa_client.reply(sentence, self.current_knowledgebases, [last_conversation], preprocess,
                                          self.version)
结果
```
[
{
"department": "354ff334-1ab2-4517-b149-7deaffe3aac5",
"knowledgebase": "kb210824b0",
"id": "614d45c666a1cd51cff42f3f",
"sentence": "北京青花测试图片模板", 
"sim": 1, 
"time": {"原句": 23, "总计": 24}
}
]
```
###  tableqa 返回 reply
入参
```
{'sentence': '现在的音量是多少', 'department_knowledgebase_list': [{'department': '96608194-0a3a-4b6b-a08d-80a86d0a0afa', 'knowledgebase': 'kb220427b0'}]}
```

结果
```
{
"error_code": 0,
"error_message": null,
"result": {
	"answer": "小米", 
	"entity": ["mi10"],
	"relation": ["品牌"], 
	"sentence_flag_list": ["onehop"]
	}
}
```

###  automata 返回 reply
```
[[{
"department": "354ff334-1ab2-4517-b149-7deaffe3aac5",
"knowledgebase": "kb210824b0",
"id": "61cd486ca68b1782c6a742d4",
"instruction": "询问办卡类型",
"newanswers": [{"begintimeperiod": 0, "begintimestamp": 0, "callback": {"delay": 0, "id": "", "type": "qa"}, "commands": [], "conditions": [{"id": "wpxym7566ysirc5", "name": "system_portrait.year", "symbol": "=", "value": [2022]}], "content": "你要办什么卡？", "id": "3w42fcc4x2py3i7", "join_answer": [], "language": "zh-CN", "templateId": "", "templateType": "special", "timeperiod": 32472115200000, "timestamp": 32472115200000, "voice": "你要办什么卡"}], 
"intent": "办卡",
"sim_query": "办卡",
"sim": 1}]]
```

### 家居图谱
```
curl -X POST --header 'Content-Type: application/json' --header 'Accept: application/json' -d '{
    "sentence": "打扫床和卫生间"
}' 'http://10.89.18.101:8155/biz_home_kg/get_home_kg_test'

结果：
{"error_code": 0, "error_message": null, "result": {"sentence": "打扫床和卫生间", "domain_intent": [{"coordinate_position": [], "entity": "床11", "space": "卧室1", "space_id": 4, "space_type": "卧室", "intent": "清洁", "exist": true}, {"coordinate_position": [], "entity": "", "space": "卫生间2", "space_id": 3, "space_type": "卫浴间", "intent": "清洁", "exist": true}]}}
```

### get_sim 相似度
> 入参
```
        para = {
            "sent1": sent_a,
            "sent2": sent_b,
            "language": language
        }
```

> 返回
```
{
"all":[
0:{
"sent1":"你好"
"sent2":"大家好呀"
"sim":0.987512887
"infer":0.986420512
}
1:{
"sent1":"大家好呀"
"sent2":"你好"
"sim":0.988830745
"infer":0.988282
}
]
}