♻️ rework and harmonize client naming conventions

README.md

@@ -195,32 +195,6 @@ result = mindee_client.parse(
 )
 ```
 
-## Further Reading
-Complete details on the working of the library are available in the following guides:
-
-* [Getting started](https://developers.mindee.com/docs/python-getting-started)
-* [Python Command Line Interface (CLI)](https://developers.mindee.com/docs/python-cli)
-* [Python Generated](https://developers.mindee.com/docs/generated-api-python)
-* [Python Custom APIs (Deprecated - API Builder)](https://developers.mindee.com/docs/python-api-builder)
-* [Python Invoice OCR](https://developers.mindee.com/docs/python-invoice-ocr)
-* [Python International Id OCR](https://developers.mindee.com/docs/python-international-id-ocr)
-* [Python Resume OCR](https://developers.mindee.com/docs/python-resume-ocr)
-* [Python Receipt OCR](https://developers.mindee.com/docs/python-receipt-ocr)
-* [Python Financial Document OCR](https://developers.mindee.com/docs/python-financial-document-ocr)
-* [Python Passport OCR](https://developers.mindee.com/docs/python-passport-ocr)
-* [Python Proof of Address OCR](https://developers.mindee.com/docs/python-proof-of-address-ocr)
-* [Python US Driver License OCR](https://developers.mindee.com/docs/python-eu-driver-license-ocr)
-* [Python FR Bank Account Detail OCR](https://developers.mindee.com/docs/python-fr-bank-account-details-ocr)
-* [Python FR Carte Grise OCR](https://developers.mindee.com/docs/python-fr-carte-grise-ocr)
-* [Python FR Health Card OCR](https://developers.mindee.com/docs/python-fr-health-card-ocr)
-* [Python FR ID Card OCR](https://developers.mindee.com/docs/python-fr-carte-nationale-didentite-ocr)
-* [Python US Bank Check OCR](https://developers.mindee.com/docs/python-us-bank-check-ocr)
-* [Python US W9 OCR](https://developers.mindee.com/docs/python-us-w9-ocr)
-* [Python Barcode Reader API](https://developers.mindee.com/docs/python-barcode-reader-ocr)
-* [Python Cropper API](https://developers.mindee.com/docs/python-cropper-ocr)
-* [Python Invoice Splitter API](https://developers.mindee.com/docs/python-invoice-splitter-api)
-* [Python Multi Receipts Detector API](https://developers.mindee.com/docs/python-multi-receipts-detector-ocr)
-
 You can view the source code on [GitHub](https://github.com/mindee/mindee-api-python).
 
 You can also take a look at the

docs/extras/code_samples/default_v2.txt

@@ -19,7 +19,7 @@ params = InferenceParameters(
 input_source = mindee_client.source_from_path(input_path)
 
 # Upload the file
-response = mindee_client.enqueue_and_parse(
+response = mindee_client.enqueue_and_get_inference(
     input_source, params
 )
 

docs/extras/guide/getting_started.md

@@ -219,7 +219,7 @@ custom_endpoint = mindee_client.create_endpoint(
     "my-account-name",
     # "my-version" # optional
 )
-result = mindee_client.enqueue_and_parse(product.GeneratedV1, input_doc, endpoint=custom_endpoint)
+result = mindee_client.enqueue_and_get_inference(product.GeneratedV1, input_doc, endpoint=custom_endpoint)
 ```
 
 This is because the `GeneratedV1` class is enough to handle the return processing, but the actual endpoint needs to be specified.

mindee/client_v2.py

@@ -1,5 +1,5 @@
 from time import sleep
-from typing import Optional, Union
+from typing import Optional
 
 from mindee.client_mixin import ClientMixin
 from mindee.error.mindee_error import MindeeError
@@ -14,6 +14,7 @@
     is_valid_get_response,
     is_valid_post_response,
 )
+from mindee.parsing.v2.common_response import CommonStatus
 from mindee.parsing.v2.inference_response import InferenceResponse
 from mindee.parsing.v2.job_response import JobResponse
 
@@ -37,7 +38,7 @@ def __init__(self, api_key: Optional[str] = None) -> None:
         self.api_key = api_key
         self.mindee_api = MindeeApiV2(api_key)
 
-    def enqueue(
+    def enqueue_inference(
         self, input_source: LocalInputSource, params: InferenceParameters
     ) -> JobResponse:
         """
@@ -49,39 +50,52 @@ def enqueue(
         :param params: Parameters to set when sending a file.
         :return: A valid inference response.
         """
-        logger.debug("Enqueuing document to '%s'", params.model_id)
+        logger.debug("Enqueuing inference using model: %s", params.model_id)
 
-        response = self.mindee_api.predict_async_req_post(
-            input_source=input_source, options=params
+        response = self.mindee_api.req_post_inference_enqueue(
+            input_source=input_source, params=params
         )
         dict_response = response.json()
 
         if not is_valid_post_response(response):
             handle_error_v2(dict_response)
-
         return JobResponse(dict_response)
 
-    def parse_queued(
-        self,
-        queue_id: str,
-    ) -> Union[InferenceResponse, JobResponse]:
+    def get_job(self, job_id: str) -> JobResponse:
         """
-        Parses a queued document.
+        Get the status of an inference that was previously enqueued.
+
+        Can be used for polling.
 
-        :param queue_id: queue_id received from the API.
+        :param job_id: UUID of the job to retrieve.
+        :return: A job response.
         """
-        logger.debug("Fetching from queue '%s'.", queue_id)
+        logger.debug("Fetching job: %s", job_id)
 
-        response = self.mindee_api.get_inference_from_queue(queue_id)
+        response = self.mindee_api.req_get_job(job_id)
         if not is_valid_get_response(response):
             handle_error_v2(response.json())
+        dict_response = response.json()
+        return JobResponse(dict_response)
+
+    def get_inference(self, inference_id: str) -> InferenceResponse:
+        """
+        Get the result of an inference that was previously enqueued.
+
+        The inference will only be available after it has finished processing.
 
+        :param inference_id: UUID of the inference to retrieve.
+        :return: An inference response.
+        """
+        logger.debug("Fetching inference: %s", inference_id)
+
+        response = self.mindee_api.req_get_inference(inference_id)
+        if not is_valid_get_response(response):
+            handle_error_v2(response.json())
         dict_response = response.json()
-        if "job" in dict_response:
-            return JobResponse(dict_response)
         return InferenceResponse(dict_response)
 
-    def enqueue_and_parse(
+    def enqueue_and_get_inference(
         self, input_source: LocalInputSource, params: InferenceParameters
     ) -> InferenceResponse:
         """
@@ -101,40 +115,28 @@ def enqueue_and_parse(
             params.polling_options.delay_sec,
             params.polling_options.max_retries,
         )
-        queue_result = self.enqueue(input_source, params)
+        enqueue_response = self.enqueue_inference(input_source, params)
         logger.debug(
-            "Successfully enqueued document with job id: %s", queue_result.job.id
+            "Successfully enqueued inference with job id: %s", enqueue_response.job.id
         )
         sleep(params.polling_options.initial_delay_sec)
-        retry_counter = 1
-        poll_results = self.parse_queued(
-            queue_result.job.id,
-        )
-        while retry_counter < params.polling_options.max_retries:
-            if not isinstance(poll_results, JobResponse):
-                break
-            if poll_results.job.status == "Failed":
-                if poll_results.job.error:
-                    detail = poll_results.job.error.detail
+        try_counter = 0
+        while try_counter < params.polling_options.max_retries:
+            job_response = self.get_job(enqueue_response.job.id)
+            if job_response.job.status == CommonStatus.FAILED.value:
+                if job_response.job.error:
+                    detail = job_response.job.error.detail
                 else:
                     detail = "No error detail available."
                 raise MindeeError(
-                    f"Parsing failed for job {poll_results.job.id}: {detail}"
+                    f"Parsing failed for job {job_response.job.id}: {detail}"
                 )
-            logger.debug(
-                "Polling server for parsing result with job id: %s",
-                queue_result.job.id,
-            )
-            retry_counter += 1
+            if job_response.job.status == CommonStatus.PROCESSED.value:
+                return self.get_inference(job_response.job.id)
+            try_counter += 1
             sleep(params.polling_options.delay_sec)
-            poll_results = self.parse_queued(queue_result.job.id)
-
-        if not isinstance(poll_results, InferenceResponse):
-            raise MindeeError(
-                f"Couldn't retrieve document after {retry_counter} tries."
-            )
 
-        return poll_results
+        raise MindeeError(f"Couldn't retrieve document after {try_counter + 1} tries.")
 
     @staticmethod
     def load_inference(local_response: LocalResponse) -> InferenceResponse:

mindee/input/inference_parameters.py

@@ -13,7 +13,7 @@ class InferenceParameters:
     rag: bool = False
     """If set to `True`, will enable Retrieval-Augmented Generation."""
     alias: Optional[str] = None
-    """Optional alias for the file."""
+    """Use an alias to link the file to your own DB. If empty, no alias will be used."""
     webhook_ids: Optional[List[str]] = None
     """IDs of webhooks to propagate the API response to."""
     polling_options: Optional[PollingOptions] = None

mindee/mindee_http/mindee_api_v2.py

@@ -67,45 +67,58 @@ def set_from_env(self) -> None:
                 func(env_val)
                 logger.debug("Value was set from env: %s", name)
 
-    def predict_async_req_post(
-        self, input_source: LocalInputSource, options: InferenceParameters
+    def req_post_inference_enqueue(
+        self, input_source: LocalInputSource, params: InferenceParameters
     ) -> requests.Response:
         """
         Make an asynchronous request to POST a document for prediction on the V2 API.
 
         :param input_source: Input object.
-        :param options: Options for the enqueueing of the document.
+        :param params: Options for the enqueueing of the document.
         :return: requests response.
         """
-        data = {"model_id": options.model_id}
+        data = {"model_id": params.model_id}
         url = f"{self.url_root}/inferences/enqueue"
 
-        if options.rag:
+        if params.rag:
             data["rag"] = "true"
-        if options.webhook_ids and len(options.webhook_ids) > 0:
-            data["webhook_ids"] = ",".join(options.webhook_ids)
-        if options.alias and len(options.alias):
-            data["alias"] = options.alias
+        if params.webhook_ids and len(params.webhook_ids) > 0:
+            data["webhook_ids"] = ",".join(params.webhook_ids)
+        if params.alias and len(params.alias):
+            data["alias"] = params.alias
 
-        files = {"file": input_source.read_contents(options.close_file)}
+        files = {"file": input_source.read_contents(params.close_file)}
         response = requests.post(
             url=url,
             files=files,
             headers=self.base_headers,
             data=data,
             timeout=self.request_timeout,
         )
-
         return response
 
-    def get_inference_from_queue(self, queue_id: str) -> requests.Response:
+    def req_get_job(self, job_id: str) -> requests.Response:
+        """
+        Sends a request matching a given queue_id. Returns either a Job or a Document.
+
+        :param job_id: Job ID, returned by the enqueue request.
+        """
+        return requests.get(
+            f"{self.url_root}/jobs/{job_id}",
+            headers=self.base_headers,
+            timeout=self.request_timeout,
+            allow_redirects=False,
+        )
+
+    def req_get_inference(self, inference_id: str) -> requests.Response:
         """
         Sends a request matching a given queue_id. Returns either a Job or a Document.
 
-        :param queue_id: queue_id received from the API
+        :param inference_id: Inference ID, returned by the job request.
         """
         return requests.get(
-            f"{self.url_root}/jobs/{queue_id}",
+            f"{self.url_root}/inferences/{inference_id}",
             headers=self.base_headers,
             timeout=self.request_timeout,
+            allow_redirects=False,
         )

mindee/parsing/v2/common_response.py

@@ -1,9 +1,18 @@
 import json
+from enum import Enum
 
 from mindee.logger import logger
 from mindee.parsing.common.string_dict import StringDict
 
 
+class CommonStatus(str, Enum):
+    """Response status."""
+
+    PROCESSING = "Processing"
+    FAILED = "Failed"
+    PROCESSED = "Processed"
+
+
 class CommonResponse:
     """Base class for V1 & V2 responses."""