fixes

Author: sebastianMindee

docs/extras/code_samples/v2_classification.txt

@@ -1,4 +1,9 @@
-from mindee import ClientV2, ClassificationParameters, ClassificationResponse, PathInput
+from mindee import (
+    ClientV2,
+    PathInput,
+    ClassificationParameters,
+    ClassificationResponse,
+)
 
 input_path = "/path/to/the/file.ext"
 api_key = "MY_API_KEY"
@@ -7,7 +12,7 @@ model_id = "MY_CLASSIFICATION_MODEL_ID"
 # Init a new client
 mindee_client = ClientV2(api_key)
 
-# Set inference parameters
+# Set parameters
 params = ClassificationParameters(
     # ID of the model, required.
     model_id=model_id,
@@ -16,7 +21,7 @@ params = ClassificationParameters(
 # Load a file from disk
 input_source = PathInput(input_path)
 
-# Send for processing
+# Send for processing using polling
 response = mindee_client.enqueue_and_get_result(
     ClassificationResponse,
     input_source,
@@ -25,3 +30,6 @@ response = mindee_client.enqueue_and_get_result(
 
 # Print a brief summary of the parsed data
 print(response.inference)
+
+# Access the classification result
+classifications: list = response.inference.result.classifications

docs/extras/code_samples/v2_crop.txt

@@ -1,4 +1,9 @@
-from mindee import ClientV2, CropParameters, CropResponse, PathInput
+from mindee import (
+    ClientV2,
+    PathInput,
+    CropParameters,
+    CropResponse,
+)
 
 input_path = "/path/to/the/file.ext"
 api_key = "MY_API_KEY"
@@ -7,7 +12,7 @@ model_id = "MY_CROP_MODEL_ID"
 # Init a new client
 mindee_client = ClientV2(api_key)
 
-# Set inference parameters
+# Set parameters
 params = CropParameters(
     # ID of the model, required.
     model_id=model_id,
@@ -16,7 +21,7 @@ params = CropParameters(
 # Load a file from disk
 input_source = PathInput(input_path)
 
-# Send for processing
+# Send for processing using polling
 response = mindee_client.enqueue_and_get_result(
     CropResponse,
     input_source,
@@ -25,3 +30,6 @@ response = mindee_client.enqueue_and_get_result(
 
 # Print a brief summary of the parsed data
 print(response.inference)
+
+# Access the crop result
+crops: list = response.inference.result.crops

docs/extras/code_samples/v2_ocr.txt

@@ -1,4 +1,9 @@
-from mindee import ClientV2, OCRParameters, OCRResponse, PathInput
+from mindee import (
+    ClientV2,
+    PathInput,
+    OCRParameters,
+    OCRResponse,
+)
 
 input_path = "/path/to/the/file.ext"
 api_key = "MY_API_KEY"
@@ -7,7 +12,7 @@ model_id = "MY_OCR_MODEL_ID"
 # Init a new client
 mindee_client = ClientV2(api_key)
 
-# Set inference parameters
+# Set parameters
 params = OCRParameters(
     # ID of the model, required.
     model_id=model_id,
@@ -16,7 +21,7 @@ params = OCRParameters(
 # Load a file from disk
 input_source = PathInput(input_path)
 
-# Send for processing
+# Send for processing using polling
 response = mindee_client.enqueue_and_get_result(
     OCRResponse,
     input_source,
@@ -25,3 +30,6 @@ response = mindee_client.enqueue_and_get_result(
 
 # Print a brief summary of the parsed data
 print(response.inference)
+
+# Access the ocr result
+ocrs: list = response.inference.result.ocrs

tests/v2/product/ocr/test_ocr_integration.py

@@ -31,4 +31,4 @@ def test_ocr_default_sample(v2_client: ClientV2, ocr_model_id: str):
     assert isinstance(response.inference, OCRInference)
     assert isinstance(response.inference.result, OCRResult)
     assert len(response.inference.result.pages) == 1
-    assert len(response.inference.result.pages[0].words) > 0
+    assert len(response.inference.result.pages[0].words) > 5