Metadata-Version: 2.1
Name: datalakesdk
Version: 0.0.2
Summary: DataLake SDK
Home-page: UNKNOWN
Author: ivan
Author-email: ivan.liu@anker-in.com
License: MIT License
Description: # 回流服务SDK
        
        ## 怎么使用
        
        1. 初始化SDK
        
        ```PYTHON
        from datalakesdk import DataLakeSDK
        
        client = DataLakeSDK()
        ```
        1. 同时上传文件和文件信息
        在上传文件的同时上传文件信息
        
        ### upload_data_with_info(raw_data: dict, file_path: str, directory: str)
        
        #### 参数 
        raw_data: dict 上传的文件对应的文件信息
        
        file_path: str 本地文件路径(可以是视频或图片)
        
        directory: str 上传到minio的目录前缀名，如果不知道这个是干啥的，留空就可以
        
        返回值
        
        {
            raw_data_id: str
        }
        
        使用示例
        ```python
        ## 上传文件
        upload_response = client.upload_data_with_info("test.jpeg", "test")
        
        ## 上传文件对应的信息
        sourceType = "collect"
        raw_data = {
            "type": "image",
            "region": "CN",
            "bg": "Appliances",
            "owner": "xxx.xx",
            "sourceInfo":{"type": sourceType},
            "meta": {}
        }
        client.upload_raw_data(raw_data)
        ```
        
        2. 上传文件标注
        一个文件标注必须要对应一个文件
        多个文件标注可以对应一个文件
        
        ### upload_annotated_data(annotated_data: dict)
        
        #### 参数 
        annotated_data: dict 上传的文件对应的标注信息
        
        返回值
        
        {
            annotation_data_id: str
        }
        
        使用示例
        ```python
        ## 上传文件对应的标注
        labelInfo = [{"bbox_xyxy": [4307,1834,4462,1952],"label": "shoes","score": 0.3,"labelType": 0}]
        annotation_data = {
            "dataId": ["1b49483de4233df15fb5b92a05bebe8e"],
            "annotationType": "detection",
            "labelScope": ["shoes"],
            "labelInfo": labelInfo,
            "bg": "Appliances",
            "owner": "ivan.liu",
            "labelMethod": "auto",
            "modelName": "test_model",
            "modelVersion": "0.1",
            "processState": "student",
            "reviewed": 0,
            "modelType": "student"
        }
        annotation_response = client.upload_annotated_data(annotation_data)
        
        ## 返回标注的ID
        annotation_response.annotation_data_id
        ```
Platform: UNKNOWN
Description-Content-Type: text/markdown
