Release 1.6.1 (#537)

Author: Philmod

CHANGELOG.md

@@ -1,9 +1,31 @@
 Changelog
 ====
 
+### 1.6.1
+Release date: 01/08/24
+* Fix dataset/model upload.
+
+### 1.6.0
+Release date: 01/04/24
+* Release the pre-release branch with models endpoints.
+
+#### 1.6.0a7
+Release date: 11/22/23
+* Add model_instance_type and base_model_instance_id to ModelInstance
+
+#### 1.6.0a6
+Release date: 9/19/23
+* Include version_number and version_id in the model-instance-metadata.json file
+
+#### 1.6.0a5
+Release date: 8/02/23
+* Add Keras framework
+
 #### 1.5.16
 Release date: 7/17/23
 * Fix dataset download bug with locale
+* Resumable uploads
+* Retry some failed requests
 
 #### 1.6.0a4
 Release date: 7/07/23

KaggleSwagger.yaml

@@ -1536,6 +1536,7 @@ definitions:
         - FDL-1.3
         - EU-ODP-Legal-Notice
         - apache-2.0 
+        - GPL-3.0
       subtitle:
         type: string
         description: The subtitle to be set on the dataset
@@ -1713,7 +1714,8 @@ definitions:
         - AGPL-3.0
         - FDL-1.3
         - EU-ODP-Legal-Notice
-        - apache-2.0 
+        - apache-2.0
+        - GPL-3.0
   Collaborator:
     type: object
     required:
@@ -1818,6 +1820,7 @@ definitions:
         - scikitLearn
         - mxnet
         - onnx
+        - keras
       overview:
         type: string
         description: The overview of the model instance (markdown)
@@ -1826,7 +1829,7 @@ definitions:
         description: The description of how to use the model instance (markdown)
       licenseName:
         type: string
-        description: The license that should be associated with the model
+        description: The license that should be associated with the model instance
         default: Apache 2.0
         enum:
         - CC0: Public Domain
@@ -1851,6 +1854,7 @@ definitions:
         - Apache 2.0
         - MIT
         - BSD-3-Clause
+        - GPL 3
       fineTunable:
         type: boolean
         description: Whether the model instance is fine tunable
@@ -1860,6 +1864,20 @@ definitions:
         description: A list of training data (urls or names)
         items:
           type: string
+      modelInstanceType:
+        type: string
+        description: Whether the model instance is a base model, external variant, internal variant, or unspecified
+        enum:
+        - Unspecified
+        - BaseModel
+        - KaggleVariant
+        - ExternalVariant
+      baseModelInstance:
+        type: string
+        description: If this is an internal variant, the `{owner-slug}/{model-slug}/{framework}/{instance-slug}` of the base model instance
+      externalBaseModelUrl:
+        type: integer
+        description: If this is an external variant, a URL to the base model
       files:
         type: array
         description: A list of files that should be associated with the model instance version
@@ -1878,7 +1896,7 @@ definitions:
         description: The description of how to use the model instance (markdown)
       licenseName:
         type: string
-        description: The license that should be associated with the model
+        description: The license that should be associated with the model instance
         default: Apache 2.0
         enum:
         - CC0: Public Domain
@@ -1903,6 +1921,7 @@ definitions:
         - Apache 2.0
         - MIT
         - BSD-3-Clause
+        - GPL 3
       fineTunable:
         type: boolean
         description: Whether the model instance is fine tunable
@@ -1912,6 +1931,20 @@ definitions:
         description: A list of training data (urls or names)
         items:
           type: string
+      modelInstanceType:
+        type: string
+        description: Whether the model instance is a base model, external variant, internal variant, or unspecified
+        enum:
+        - Unspecified
+        - BaseModel
+        - KaggleVariant
+        - ExternalVariant
+      baseModelInstance:
+        type: string
+        description: If this is an internal variant, the `{owner-slug}/{model-slug}/{framework}/{instance-slug}` of the base model instance
+      externalBaseModelUrl:
+        type: integer
+        description: If this is an external variant, a URL to the base model
       updateMask:
         type: string
         description: Describes which fields to update

kaggle/__init__.py

@@ -1,6 +1,6 @@
 #!/usr/bin/python
 #
-# Copyright 2023 Kaggle Inc
+# Copyright 2024 Kaggle Inc
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

kaggle/api/__init__.py

@@ -1,6 +1,6 @@
 #!/usr/bin/python
 #
-# Copyright 2023 Kaggle Inc
+# Copyright 2024 Kaggle Inc
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

kaggle/api/kaggle_api.py

@@ -1,6 +1,6 @@
 #!/usr/bin/python
 #
-# Copyright 2023 Kaggle Inc
+# Copyright 2024 Kaggle Inc
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

kaggle/api/kaggle_api_extended.py

@@ -1,6 +1,6 @@
 #!/usr/bin/python
 #
-# Copyright 2023 Kaggle Inc
+# Copyright 2024 Kaggle Inc
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -271,7 +271,7 @@ def __repr__(self):
 
 
 class KaggleApi(KaggleApi):
-    __version__ = '1.5.16'
+    __version__ = '1.6.1'
 
     CONFIG_NAME_PROXY = 'proxy'
     CONFIG_NAME_COMPETITION = 'competition'
@@ -909,7 +909,7 @@ def competition_download_file(self,
         """ download a competition file to a designated location, or use
             a default location
 
-            Paramters
+            Parameters
             =========
             competition: the name of the competition
             file_name: the configuration file name
@@ -2880,6 +2880,16 @@ def model_instance_get_cli(self, model_instance, folder=None):
             data['licenseName'] = mi['licenseName']
             data['fineTunable'] = mi['fineTunable']
             data['trainingData'] = mi['trainingData']
+            data['versionId'] = mi['versionId']
+            data['versionNumber'] = mi['versionNumber']
+            data['modelInstanceType'] = mi['modelInstanceType']
+            if mi['baseModelInstanceInformation'] is not None:
+                data['baseModelInstance'] = '{}/{}/{}/{}'.format(
+                    mi['baseModelInstanceInformation']['owner']['slug'],
+                    mi['baseModelInstanceInformation']['modelSlug'],
+                    mi['baseModelInstanceInformation']['framework'],
+                    mi['baseModelInstanceInformation']['instanceSlug'])
+            data['externalBaseModelUrl'] = mi['externalBaseModelUrl']
 
             with open(meta_file, 'w') as f:
                 json.dump(data, f, indent=2)
@@ -2924,7 +2934,13 @@ def model_instance_initialize(self, folder):
             'Apache 2.0',
             'fineTunable':
             False,
-            'trainingData': []
+            'trainingData': [],
+            'modelInstanceType':
+            'Unspecified',
+            'baseModelInstanceId':
+            0,
+            'externalBaseModelUrl':
+            ''
         }
         meta_file = os.path.join(folder, self.MODEL_INSTANCE_METADATA_FILE)
         with open(meta_file, 'w') as f:
@@ -2964,6 +2980,12 @@ def model_instance_create(self, folder, quiet=False, dir_mode='skip'):
         license_name = self.get_or_fail(meta_data, 'licenseName')
         fine_tunable = self.get_or_default(meta_data, 'fineTunable', False)
         training_data = self.get_or_default(meta_data, 'trainingData', [])
+        model_instance_type = self.get_or_default(
+            meta_data, 'modelInstanceType', 'Unspecified')
+        base_model_instance = self.get_or_default(meta_data,
+                                                  'baseModelInstance', '')
+        external_base_model_url = self.get_or_default(
+            meta_data, 'externalBaseModelUrl', '')
 
         # validations
         if owner_slug == 'INSERT_OWNER_SLUG_HERE':
@@ -2997,6 +3019,9 @@ def model_instance_create(self, folder, quiet=False, dir_mode='skip'):
             license_name=license_name,
             fine_tunable=fine_tunable,
             training_data=training_data,
+            model_instance_type=model_instance_type,
+            base_model_instance=base_model_instance,
+            external_base_model_url=external_base_model_url,
             files=[])
 
         with ResumableUploadContext() as upload_context:
@@ -3089,6 +3114,12 @@ def model_instance_update(self, folder):
         license_name = self.get_or_default(meta_data, 'licenseName', None)
         fine_tunable = self.get_or_default(meta_data, 'fineTunable', None)
         training_data = self.get_or_default(meta_data, 'trainingData', None)
+        model_instance_type = self.get_or_default(meta_data,
+                                                  'modelInstanceType', None)
+        base_model_instance = self.get_or_default(meta_data,
+                                                  'baseModelInstance', None)
+        external_base_model_url = self.get_or_default(
+            meta_data, 'externalBaseModelUrl', None)
 
         # validations
         if owner_slug == 'INSERT_OWNER_SLUG_HERE':
@@ -3128,13 +3159,22 @@ def model_instance_update(self, folder):
             update_mask['paths'].append('fine_tunable')
         if training_data != None:
             update_mask['paths'].append('training_data')
+        if model_instance_type != None:
+            update_mask['paths'].append('model_instance_type')
+        if base_model_instance != None:
+            update_mask['paths'].append('base_model_instance')
+        if external_base_model_url != None:
+            update_mask['paths'].append('external_base_model_url')
 
         request = ModelInstanceUpdateRequest(
             overview=overview,
             usage=usage,
             license_name=license_name,
             fine_tunable=fine_tunable,
             training_data=training_data,
+            model_instance_type=model_instance_type,
+            base_model_instance=base_model_instance,
+            external_base_model_url=external_base_model_url,
             update_mask=update_mask)
         result = ModelNewResponse(
             self.process_response(
@@ -3283,6 +3323,7 @@ def model_instance_version_download(self,
                     os.remove(outfile)
                 except OSError as e:
                     print('Could not delete tar file, got %s' % e)
+        return outfile
 
     def model_instance_version_download_cli(self,
                                             model_instance_version,
@@ -3301,7 +3342,7 @@ def model_instance_version_download_cli(self,
             quiet: suppress verbose output (default is False)
             untar: if True, untar files upon download (default is False)
         """
-        self.model_instance_version_download(
+        return self.model_instance_version_download(
             model_instance_version,
             path=path,
             untar=untar,
@@ -3528,6 +3569,9 @@ def process_response(self, result):
                           'Version, please consider updating (server ' +
                           api_version + ' / client ' + self.__version__ + ')')
                     self.already_printed_version_warning = True
+            if isinstance(data,
+                          dict) and 'code' in data and data['code'] != 200:
+                raise Exception(data['message'])
             return data
         return result
 

kaggle/api_client.py

@@ -1,6 +1,6 @@
 #!/usr/bin/python
 #
-# Copyright 2023 Kaggle Inc
+# Copyright 2024 Kaggle Inc
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

kaggle/cli.py

@@ -1,6 +1,6 @@
 #!/usr/bin/python
 #
-# Copyright 2023 Kaggle Inc
+# Copyright 2024 Kaggle Inc
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -57,7 +57,7 @@ def main():
     parse_competitions(subparsers)
     parse_datasets(subparsers)
     parse_kernels(subparsers)
-    # parse_models(subparsers)
+    parse_models(subparsers)
     parse_files(subparsers)
     parse_config(subparsers)
     args = parser.parse_args()
@@ -1347,8 +1347,12 @@ class Help(object):
     kaggle = 'Use one of:\ncompetitions {' + ', '.join(
         competitions_choices) + '}\ndatasets {' + ', '.join(
             datasets_choices) + '}\nkernels {' + ', '.join(
-                kernels_choices) + '}\nconfig {' + ', '.join(
-                    config_choices) + '}'
+                kernels_choices) + '}\nmodels {' + ', '.join(
+                    models_choices) + '}\nmodels instances {' + ', '.join(
+                        model_instances_choices
+                    ) + '}\nmodels instances versions {' + ', '.join(
+                        model_instance_versions_choices
+                    ) + '}\nconfig {' + ', '.join(config_choices) + '}'
 
     group_competitions = 'Commands related to Kaggle competitions'
     group_datasets = 'Commands related to Kaggle datasets'

kaggle/configuration.py

@@ -1,6 +1,6 @@
 #!/usr/bin/python
 #
-# Copyright 2023 Kaggle Inc
+# Copyright 2024 Kaggle Inc
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

kaggle/models/__init__.py

@@ -1,6 +1,6 @@
 #!/usr/bin/python
 #
-# Copyright 2023 Kaggle Inc
+# Copyright 2024 Kaggle Inc
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.