--debug

2022-10-17T19:42:04-0300 [DEBUG] [cli] Importing service "service.py:svc" from working dir: "C:\Users\ABIGA\OneDrive - Pampa Energia\Documents\DS - ML Zoomcamp\7"

2022-10-17T19:42:04-0300 [INFO] [cli] NumExpr defaulting to 8 threads.

2022-10-17T19:42:05-0300 [DEBUG] [cli] Default runner method set to predict, it can be accessed both via runner.run and runner.predict.async_run

2022-10-17T19:42:05-0300 [DEBUG] [cli] 'credit_risk_classifier' imported from source: bentoml.Service(name="credit_risk_classifier", import_str="service:svc", working_dir="C:\Users\ABIGA\OneDrive - Pampa Energia\Documents\DS - ML Zoomcamp\7")

2022-10-17T19:42:05-0300 [INFO] [cli] Prometheus metrics for HTTP BentoServer from "service.py:svc" can be accessed at <http://localhost:3000/metrics>.

2022-10-17T19:42:06-0300 [INFO] [cli] Registering signals...

2022-10-17T19:42:07-0300 [INFO] [cli] Starting master on pid 16688

2022-10-17T19:42:07-0300 [DEBUG] [cli] Socket bound at 0.0.0.0:3000 - fd: 3000

2022-10-17T19:42:07-0300 [INFO] [cli] sockets started

2022-10-17T19:42:07-0300 [DEBUG] [cli] Initializing watchers

2022-10-17T19:42:07-0300 [DEBUG] [cli] cmd: C:\Users\ABIGA\Anaconda3\envs\ml-zoomcamp\python.exe

2022-10-17T19:42:07-0300 [DEBUG] [cli] args: ['-m', 'bentoml_cli.worker.http_dev_api_server', 'service.py:svc', '--fd', '$(circus.sockets._bento_api_server)', '--working-dir', 'C:\\Users\\ABIGA\\OneDrive - Pampa Energia\\Documents\\DS - ML Zoomcamp\\7', '--prometheus-dir', 'C:\\Users\\ABIGA\\bentoml\\prometheus_multiproc_dir']

2022-10-17T19:42:07-0300 [DEBUG] [cli] process args: ['C:\\Users\\ABIGA\\Anaconda3\\envs\\ml-zoomcamp\\python.exe', '-m', 'bentoml_cli.worker.http_dev_api_server', 'service.py:svc', '--fd', '3000', '--working-dir', 'C:\\Users\\ABIGA\\OneDrive - Pampa Energia\\Documents\\DS - ML Zoomcamp\\7', '--prometheus-dir', 'C:\\Users\\ABIGA\\bentoml\\prometheus_multiproc_dir']

2022-10-17T19:42:07-0300 [DEBUG] [cli] running dev_api_server process [pid 12896]

2022-10-17T19:42:07-0300 [INFO] [cli] Arbiter now waiting for commands

2022-10-17T19:42:07-0300 [INFO] [cli] dev_api_server started

2022-10-17T19:42:07-0300 [INFO] [cli] Starting development HTTP BentoServer from "service.py:svc" running on <http://0.0.0.0:3000> (Press CTRL+C to quit)

2022-10-17T19:42:08-0300 [DEBUG] [dev_api_server] Importing service "service.py:svc" from working dir: "C:\Users\ABIGA\OneDrive - Pampa Energia\Documents\DS - ML Zoomcamp\7"

2022-10-17T19:42:09-0300 [INFO] [dev_api_server] NumExpr defaulting to 8 threads.

2022-10-17T19:42:10-0300 [DEBUG] [dev_api_server] Default runner method set to predict, it can be accessed both via runner.run and runner.predict.async_run

2022-10-17T19:42:10-0300 [DEBUG] [dev_api_server] 'credit_risk_classifier' imported from source: bentoml.Service(name="credit_risk_classifier", import_str="service:svc", working_dir="C:\Users\ABIGA\OneDrive - Pampa Energia\Documents\DS - ML Zoomcamp\7")

import bentoml

from <http://bentoml.io|bentoml.io> import JSON

model_ref = bentoml.xgboost.get("credit_risk_model:hysjvi2olo7dkue2")

model_runner = <http://model_ref.to|model_ref.to>_runner()

svc = bentoml.Service("credit_risk_classifier", _runners_=[model_runner])

@svc.api(_input_=JSON(), _output_=JSON())

_def_ classify(_application_data_):

prediction = model_runner.predict.run(_application_data_)

return {"status":"Approved"}