Update examples after methods renaming (#52)

yandex-cloud · Jan 27, 2025 · bad0781 · bad0781
1 parent d54de68
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Showing 20 changed files with 41 additions and 137 deletions.
diff --git a/examples/async/tuning/attach.py b/examples/async/tuning/attach.py
@@ -33,14 +33,13 @@ async def get_datasets(sdk):
         break
     else:
         print('no old datasets found, creating new one')
-        dataset_draft = sdk.datasets.completions.from_path_deferred(
+        dataset_draft = sdk.datasets.completions.draft_from_path(
             path=local_path('completions.jsonlines'),
             upload_format='jsonlines',
             name='completions',
         )
 
-        operation = await dataset_draft.upload()
-        dataset = await operation
+        dataset = await dataset_draft.upload()
         print(f'created new dataset {dataset=}')
 
     return dataset, dataset

diff --git a/examples/async/tuning/basic_train_and_use.py b/examples/async/tuning/basic_train_and_use.py
@@ -33,14 +33,13 @@ async def get_datasets(sdk):
         break
     else:
         print('no old datasets found, creating new one')
-        dataset_draft = sdk.datasets.completions.from_path_deferred(
+        dataset_draft = sdk.datasets.completions.draft_from_path(
             path=local_path('completions.jsonlines'),
             upload_format='jsonlines',
             name='completions',
         )
 
-        operation = await dataset_draft.upload()
-        dataset = await operation
+        dataset = await dataset_draft.upload()
         print(f'created new dataset {dataset=}')
 
     return dataset, dataset

diff --git a/examples/async/tuning/binary_classification.py b/examples/async/tuning/binary_classification.py
@@ -34,14 +34,13 @@ async def get_datasets(sdk):
     else:
         print('no old datasets found, creating new one')
         # NB: yeah, dataset type is still text_classifiers_multiclass
-        dataset_draft = sdk.datasets.text_classifiers_binary.from_path_deferred(
+        dataset_draft = sdk.datasets.text_classifiers_binary.draft_from_path(
             path=local_path('binary_classification.jsonlines'),
             upload_format='jsonlines',
             name='binary',
         )
 
-        operation = await dataset_draft.upload()
-        dataset = await operation.wait()
+        dataset = await dataset_draft.upload()
         print(f'created new dataset {dataset=}')
 
     return dataset, dataset

diff --git a/examples/async/tuning/cancel.py b/examples/async/tuning/cancel.py
@@ -33,14 +33,13 @@ async def get_datasets(sdk):
         break
     else:
         print('no old datasets found, creating new one')
-        dataset_draft = sdk.datasets.completions.from_path_deferred(
+        dataset_draft = sdk.datasets.completions.draft_from_path(
             path=local_path('completions.jsonlines'),
             upload_format='jsonlines',
             name='completions',
         )
 
-        operation = await dataset_draft.upload()
-        dataset = await operation
+        dataset = await dataset_draft.upload()
         print(f'created new dataset {dataset=}')
 
     return dataset, dataset

diff --git a/examples/async/tuning/list.py b/examples/async/tuning/list.py
@@ -33,14 +33,13 @@ async def get_datasets(sdk):
         break
     else:
         print('no old datasets found, creating new one')
-        dataset_draft = sdk.datasets.completions.from_path_deferred(
+        dataset_draft = sdk.datasets.completions.draft_from_path(
             path=local_path('completions.jsonlines'),
             upload_format='jsonlines',
             name='completions',
         )
 
-        operation = await dataset_draft.upload()
-        dataset = await operation
+        dataset = await dataset_draft.upload()
         print(f'created new dataset {dataset=}')
 
     return dataset, dataset

diff --git a/examples/async/tuning/multiclass_classification.py b/examples/async/tuning/multiclass_classification.py
@@ -33,14 +33,13 @@ async def get_datasets(sdk):
         break
     else:
         print('no old datasets found, creating new one')
-        dataset_draft = sdk.datasets.text_classifiers_multiclass.from_path_deferred(
+        dataset_draft = sdk.datasets.text_classifiers_multiclass.draft_from_path(
             path=local_path('multiclass_classification.jsonlines'),
             upload_format='jsonlines',
             name='multiclass',
         )
 
-        operation = await dataset_draft.upload()
-        dataset = await operation.wait()
+        dataset = await dataset_draft.upload()
         print(f'created new dataset {dataset=}')
 
     return dataset, dataset

diff --git a/examples/async/tuning/multilabel_classification.py b/examples/async/tuning/multilabel_classification.py
@@ -33,14 +33,13 @@ async def get_datasets(sdk):
         break
     else:
         print('no old datasets found, creating new one')
-        dataset_draft = sdk.datasets.text_classifiers_multilabel.from_path_deferred(
+        dataset_draft = sdk.datasets.text_classifiers_multilabel.draft_from_path(
             path=local_path('multilabel_classification.jsonlines'),
             upload_format='jsonlines',
             name='multilabel',
         )
 
-        operation = await dataset_draft.upload()
-        dataset = await operation.wait()
+        dataset = await dataset_draft.upload()
         print(f'created new dataset {dataset=}')
 
     return dataset, dataset

diff --git a/examples/async/tuning/reporting.py b/examples/async/tuning/reporting.py
@@ -33,14 +33,13 @@ async def get_datasets(sdk):
         break
     else:
         print('no old datasets found, creating new one')
-        dataset_draft = sdk.datasets.completions.from_path_deferred(
+        dataset_draft = sdk.datasets.completions.draft_from_path(
             path=local_path('completions.jsonlines'),
             upload_format='jsonlines',
             name='completions',
         )
 
-        operation = await dataset_draft.upload()
-        dataset = await operation
+        dataset = await dataset_draft.upload()
         print(f'created new dataset {dataset=}')
 
     return dataset, dataset

diff --git a/examples/async/tuning/tuning_params.py b/examples/async/tuning/tuning_params.py
@@ -36,14 +36,13 @@ async def get_datasets(sdk):
         break
     else:
         print('no old datasets found, creating new one')
-        dataset_draft = sdk.datasets.completions.from_path_deferred(
+        dataset_draft = sdk.datasets.completions.draft_from_path(
             path=local_path('completions.jsonlines'),
             upload_format='jsonlines',
             name='completions',
         )
 
-        operation = await dataset_draft.upload()
-        dataset = await operation
+        dataset = await dataset_draft.upload()
         print(f'created new dataset {dataset=}')
 
     return dataset, dataset

diff --git a/examples/sync/tuning/attach.py b/examples/sync/tuning/attach.py
@@ -33,14 +33,13 @@ def get_datasets(sdk):
         break
     else:
         print('no old datasets found, creating new one')
-        dataset_draft = sdk.datasets.completions.from_path_deferred(
+        dataset_draft = sdk.datasets.completions.draft_from_path(
             path=local_path('completions.jsonlines'),
             upload_format='jsonlines',
             name='completions',
         )
 
-        operation = dataset_draft.upload()
-        dataset = operation.wait()
+        dataset = dataset_draft.upload()
         print(f'created new dataset {dataset=}')
 
     return dataset, dataset

diff --git a/examples/sync/tuning/basic_train_and_use.py b/examples/sync/tuning/basic_train_and_use.py
@@ -32,14 +32,13 @@ def get_datasets(sdk):
         break
     else:
         print('no old datasets found, creating new one')
-        dataset_draft = sdk.datasets.completions.from_path_deferred(
+        dataset_draft = sdk.datasets.completions.draft_from_path(
             path=local_path('completions.jsonlines'),
             upload_format='jsonlines',
             name='completions',
         )
 
-        operation = dataset_draft.upload()
-        dataset = operation.wait()
+        dataset = dataset_draft.upload()
         print(f'created new dataset {dataset=}')
 
     return dataset, dataset

diff --git a/examples/sync/tuning/binary_classification.py b/examples/sync/tuning/binary_classification.py
@@ -33,14 +33,13 @@ def get_datasets(sdk):
     else:
         print('no old datasets found, creating new one')
         # NB: yeah, dataset type is still text_classifiers_multiclass
-        dataset_draft = sdk.datasets.text_classifiers_binary.from_path_deferred(
+        dataset_draft = sdk.datasets.text_classifiers_binary.draft_from_path(
             path=local_path('binary_classification.jsonlines'),
             upload_format='jsonlines',
             name='binary',
         )
 
-        operation = dataset_draft.upload()
-        dataset = operation.wait()
+        dataset = dataset_draft.upload()
         print(f'created new dataset {dataset=}')
 
     return dataset, dataset

diff --git a/examples/sync/tuning/cancel.py b/examples/sync/tuning/cancel.py
@@ -33,14 +33,13 @@ def get_datasets(sdk):
         break
     else:
         print('no old datasets found, creating new one')
-        dataset_draft = sdk.datasets.completions.from_path_deferred(
+        dataset_draft = sdk.datasets.completions.draft_from_path(
             path=local_path('completions.jsonlines'),
             upload_format='jsonlines',
             name='completions',
         )
 
-        operation = dataset_draft.upload()
-        dataset = operation.wait()
+        dataset = dataset_draft.upload()
         print(f'created new dataset {dataset=}')
 
     return dataset, dataset

diff --git a/examples/sync/tuning/datasets.py b/examples/sync/tuning/datasets.py
@@ -17,24 +17,23 @@ def main() -> None:
         folder_id='b1ghsjum2v37c2un8h64',
     )
 
-    dataset_draft = sdk.datasets.from_path_deferred(
+    dataset_draft = sdk.datasets.draft_from_path(
         task_type='TextToTextGeneration',
         path=local_path('completions.jsonlines'),
         upload_format='jsonlines',
         name='completions',
     )
 
-    operation = dataset_draft.upload()
-    dataset = operation.wait()
+    dataset = dataset_draft.upload()
     print(f'new {dataset=}')
 
-    dataset_draft = sdk.datasets.completions.from_path_deferred(
+    dataset_draft = sdk.datasets.completions.draft_from_path(
         local_path('example_bad_dataset')
     )
     dataset_draft.upload_format = 'jsonlines'
     dataset_draft.name = 'foo'
 
-    operation = dataset_draft.upload()
+    operation = dataset_draft.upload_deferred()
     try:
         dataset = operation.wait()
     except DatasetValidationError as error:
@@ -43,7 +42,7 @@ def main() -> None:
         print(f"going to delete {bad_dataset=}")
         bad_dataset.delete()
 
-    operation = dataset_draft.upload(raise_on_validation_failure=False)
+    operation = dataset_draft.upload_deferred(raise_on_validation_failure=False)
     bad_dataset = operation.wait()
     print(f"New {bad_dataset=} have a bad status {dataset.status=}")
     dataset.delete()

diff --git a/examples/sync/tuning/list.py b/examples/sync/tuning/list.py
@@ -33,14 +33,13 @@ def get_datasets(sdk):
         break
     else:
         print('no old datasets found, creating new one')
-        dataset_draft = sdk.datasets.completions.from_path_deferred(
+        dataset_draft = sdk.datasets.completions.draft_from_path(
             path=local_path('completions.jsonlines'),
             upload_format='jsonlines',
             name='completions',
         )
 
-        operation = dataset_draft.upload()
-        dataset = operation.wait()
+        dataset = dataset_draft.upload()
         print(f'created new dataset {dataset=}')
 
     return dataset, dataset

diff --git a/examples/sync/tuning/multiclass.py b/examples/sync/tuning/multiclass.py
diff --git a/examples/sync/tuning/multiclass_classification.py b/examples/sync/tuning/multiclass_classification.py
@@ -32,14 +32,13 @@ def get_datasets(sdk):
         break
     else:
         print('no old datasets found, creating new one')
-        dataset_draft = sdk.datasets.text_classifiers_multiclass.from_path_deferred(
+        dataset_draft = sdk.datasets.text_classifiers_multiclass.draft_from_path(
             path=local_path('multiclass_classification.jsonlines'),
             upload_format='jsonlines',
             name='multiclass',
         )
 
-        operation = dataset_draft.upload()
-        dataset = operation.wait()
+        dataset = dataset_draft.upload()
         print(f'created new dataset {dataset=}')
 
     return dataset, dataset

diff --git a/examples/sync/tuning/multilabel_classification.py b/examples/sync/tuning/multilabel_classification.py
@@ -32,14 +32,13 @@ def get_datasets(sdk):
         break
     else:
         print('no old datasets found, creating new one')
-        dataset_draft = sdk.datasets.text_classifiers_multilabel.from_path_deferred(
+        dataset_draft = sdk.datasets.text_classifiers_multilabel.draft_from_path(
             path=local_path('multilabel_classification.jsonlines'),
             upload_format='jsonlines',
             name='multilabel',
         )
 
-        operation = dataset_draft.upload()
-        dataset = operation.wait()
+        dataset = dataset_draft.upload()
         print(f'created new dataset {dataset=}')
 
     return dataset, dataset