general-process-data-processing-backend

A backend intergrated some general process data processing methods, including statistics, time domain, frequency domain, time-freq domian and time series forecasting(only for test). A rough test frontend project base on vue manage system is here.

usage

1. run file：python np-4.2_test_api.py

2. send http request：curl --request POST --url http://[address]/[alg_class]/[alg] --header 'content-type: application/json' --header 'user-agent: vscode-restclient' --data '{"data": [data], ["optional param 1": param values 1], ["optional param 2": param values 2], ……}'

optional params see np_4_2.py and np_4_2_tsf.py, the original method file, or the params dict in every route in the file np-4.2_test_api.py.

example

curl --request POST --url http://127.0.0.1:5000/freq_dom_/denoise --header 'content-type: application/json' --header 'user-agent: vscode-restclient' --data '{"data": [1,2,3], "ratio": 0.1}'

explain:
backend run on 127.0.0.1:5000，use denoise methond in frequency domain, default use svd method, the top 1% singular values are remained.

result：
HTTP/1.1 200 OK
Server: Werkzeug/2.2.3 Python/3.8.8
Date: Sun, 07 May 2023 10:33:05 GMT
Content-Type: application/json
Content-Length: 14
Connection: close

[
0.0,
0.0,
0.0
]

TODO

fix output with list type for those method which is mostly independent, for the convenience of js use.