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STAR-322: Improving documentation
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2 changed files with 20 additions and 16 deletions
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@ -72,12 +72,12 @@ class CloudApiClient:
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reply = self._manager.put(self._createEmptyRequest(url), body.encode())
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self._addCallback(reply, on_finished, CloudPrintJobResponse)
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## Requests the cloud to register the upload of a print job mesh.
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# \param upload_response: The object received after requesting an upload with `self.requestUpload`.
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## Uploads a print job mesh to the cloud.
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# \param print_job: The object received after requesting an upload with `self.requestUpload`.
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# \param mesh: The mesh data to be uploaded.
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# \param on_finished: The function to be called after the result is parsed. It receives the print job ID.
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# \param on_finished: The function to be called after the upload is successful.
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# \param on_progress: A function to be called during upload progress. It receives a percentage (0-100).
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# \param on_error: A function to be called if the upload fails. It receives a dict with the error.
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# \param on_error: A function to be called if the upload fails.
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def uploadMesh(self, print_job: CloudPrintJobResponse, mesh: bytes, on_finished: Callable[[], Any],
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on_progress: Callable[[int], Any], on_error: Callable[[], Any]):
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self._upload = MeshUploader(self._manager, print_job, mesh, on_finished, on_progress, on_error)
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@ -134,19 +134,23 @@ class CloudApiClient:
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data = response["data"]
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if isinstance(data, list):
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results = [model_class(**c) for c in data] # type: List[CloudApiClient.Model]
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cast(Callable[[List[CloudApiClient.Model]], Any], on_finished)(results)
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on_finished_list = cast(Callable[[List[CloudApiClient.Model]], Any], on_finished)
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on_finished_list(results)
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else:
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result = model_class(**data) # type: CloudApiClient.Model
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cast(Callable[[CloudApiClient.Model], Any], on_finished)(result)
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on_finished_item = cast(Callable[[CloudApiClient.Model], Any], on_finished)
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on_finished_item(result)
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elif "errors" in response:
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self._on_error([CloudErrorObject(**error) for error in response["errors"]])
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else:
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Logger.log("e", "Cannot find data or errors in the cloud response: %s", response)
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## Wraps a callback function so that it includes the parsing of the response into the correct model.
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# \param on_finished: The callback in case the response is successful.
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# \param model: The type of the model to convert the response to. It may either be a single record or a list.
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# \return: A function that can be passed to the
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## Creates a callback function so that it includes the parsing of the response into the correct model.
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# The callback is added to the 'finished' signal of the reply.
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# \param reply: The reply that should be listened to.
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# \param on_finished: The callback in case the response is successful. Depending on the endpoint it will be either
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# a list or a single item.
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# \param model: The type of the model to convert the response to.
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def _addCallback(self,
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reply: QNetworkReply,
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on_finished: Union[Callable[[Model], Any], Callable[[List[Model]], Any]],
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@ -1,7 +1,7 @@
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# Copyright (c) 2018 Ultimaker B.V.
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# Cura is released under the terms of the LGPLv3 or higher.
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import json
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from typing import Dict, Tuple, Union, Optional
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from typing import Dict, Tuple, Union, Optional, Any
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from unittest.mock import MagicMock
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from PyQt5.QtNetwork import QNetworkAccessManager, QNetworkRequest
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@ -53,7 +53,7 @@ class NetworkManagerMock:
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# Since the methods are very simple and the same it didn't make sense to repeat the code.
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# \param method: The method being called.
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# \return The mocked function, if the method name is known. Defaults to the standard getattr function.
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def __getattr__(self, method: str) -> any:
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def __getattr__(self, method: str) -> Any:
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## This mock implementation will simply return the reply from the prepared ones.
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# it raises a KeyError if requests are done without being prepared.
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def doRequest(request: QNetworkRequest, body: Optional[bytes] = None, *_):
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