Azure / Azure/MachineLearningNotebooks

Please add more context on the AMLRequest and AMLResponse classes

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Descrição

I am testing the sample https://github.com/Azure/azureml-examples/blob/main/sdk/python/endpoints/online/managed/online-endpoints-binary-payloads.ipynb
As per the documentation, the [AMLRequest](https://learn.microsoft.com/en-us/python/api/azureml-contrib-services/azureml.contrib.services.aml_request.amlrequest?view=azure-ml-py) and [AMLResponse](https://learn.microsoft.com/en-us/python/api/azureml-contrib-services/azureml.contrib.services.aml_response.amlresponse?view=azure-ml-py) classes were inherited from flask.wrappers. However, please also add the parameters and attributes and sample usage of these classes.

If I am sending a JSON object to the MOE (Managed Online Endpoint) along with the binary image file, the request object will hold these values passed as raw httprequest.

```
payload = {"file-metadata": {
"filename": "my-image.jpg",
"file-size": "150kb",
...
}}
res = requests.post(
url=scoring_uri,
headers={"Authorization": f"Bearer {key}"},
json=payload, **attempt to pass the payload to the request**
files=[
("file", open("my-image.jpg", "rb"))
],
)
```

How to pass a JSON payload to this request and access that from within the scoring script? I tried to configure the json parameter to assign a sample JSON payload as above sample. However, when viewing the value through req.get_json() in the scoring script, this function returns empty.

```
@rawhttp
def run(req : AMLRequest):
print(req.get_json()) **nothing gets printed out**
```

I found a workaround to assign the payload to the headers parameter as follows. However, it would be appreciated if you may also include the correct approach/sample usage of the above class(es).

```
payload = {"file-metadata": {
"filename": "my-image.jpg",
"file-size": "150kb",
...
}}

headers_ = {"Authorization": f"Bearer {key}", "File-Metadata": json.dumps(payload)}

res = requests.post(
url=scoring_uri,
headers=headers_
...)
```

---
#### Document Details

⚠ *Do not edit this section. It is required for learn.microsoft.com ➟ GitHub issue linking.*

* ID: 024b6cd8-a404-ede4-0425-8f538550493d
* Version Independent ID: 5b5490ce-34df-acdc-fbce-49e6f9374acc
* Content: [azureml.contrib.services.aml_request.AMLRequest class - Azure Machine Learning Python](https://learn.microsoft.com/en-us/python/api/azureml-contrib-services/azureml.contrib.services.aml_request.amlrequest?view=azure-ml-py)
* Content Source: [AzureML-Docset/stable/docs-ref-autogen/azureml-contrib-services/azureml.contrib.services.aml_request.AMLRequest.yml](https://github.com/MicrosoftDocs/MachineLearning-Python-pr/blob/live/AzureML-Docset/stable/docs-ref-autogen/azureml-contrib-services/azureml.contrib.services.aml_request.AMLRequest.yml)
* Service: **machine-learning**
* Sub-service: **core**
* GitHub Login: @DebFro
* Microsoft Alias: **debfro**

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Direção de pesquisa

Comece pelas páginas de referência de AMLRequest e AMLResponse e pelo arquivo de origem AzureML-Docset/stable/docs-ref-autogen/azureml.contrib.services.aml_request.AMLRequest.yml; compare-os com o exemplo vinculado online-endpoints-binary-payloads.ipynb. Documente os parâmetros, atributos e o uso de exemplo relevantes para passar JSON junto com um arquivo binário e acessá-lo no script de scoring.

Escrita pelo modelo de indexação a partir do texto da issue.

Avaliação

Stack de tecnologia
python
Domínio
documentation, machine-learning
Tipo de issue
Documentação
Dificuldade
2/5
Tempo estimado
1-3 horas
Status de atividade
Estagnada
Clareza
Razoavelmente clara
Facilidade para iniciantes
35/100

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