现在要实现使用Azure数据湖存储加速筛选数据使用Python写代码实现。请帮我写一个API设计文档。其中有两个参数一个参数是blob路径另一个是时间。筛选的规则是a字段大于参数时间b字段取最大。另外还需要日志与异常处理的设计。用图表或流程图表示

API设计文档：

API Endpoint: http://.azuredatalakestore.net/

HTTP Method: POST

Request Parameters:

1. blob_path (string) - The path of the blob to be filtered.
2. time (string) - The time parameter for filtering.

Request Body: { "a_field": "time_field", "b_field": "max_field" }

Response Body: { "result": "filtered_data" }

Response Status Codes:

1. 200 - OK
2. 400 - Bad Request
3. 500 - Internal Server Error

Logging:

1. Log each API request with timestamp, request parameters and response.
2. Log any exceptions or errors encountered during the execution of the API.

Exception Handling:

1. Handle invalid or missing request parameters with appropriate error messages.
2. Handle any exceptions or errors encountered during the execution of the API with appropriate error messages.

Flowchart:

Start -> Receive API request -> Validate request parameters -> Connect to Azure Data Lake Storage -> Filter data -> Return filtered data -> Log API request and response -> End

![API Flowchart](https://i.imgur.com/br3v1fB.png