Add some convenience functionality to clearml-data (#526)

* Add some convenience functionality to clearml-data to allow for fast creation of new dataset versions.

* Added get_existing_project function to data utils and cleaned up typos and docstrings there

* Fixed black formatting

clearml/backend_interface/util.py

@@ -52,15 +52,29 @@ def make_message(s, **kwargs):
     return s % args
 
 
-def get_or_create_project(session, project_name, description=None):
+def get_existing_project(session, project_name):
+    """Return either the project ID if it exists, an empty string if it doesn't or None if backend request failed."""
     res = session.send(projects.GetAllRequest(name=exact_match_regex(project_name), only_fields=['id']))
     if not res:
         return None
     if res.response and res.response.projects:
         return res.response.projects[0].id
+    return ""
+
+
+def get_or_create_project(session, project_name, description=None):
+    """Return the ID of an existing project, or if it does not exist, make a new one and return that ID instead."""
+    project_id = get_existing_project(session, project_name)
+    if project_id:
+        return project_id
+    if project_id == "":
+        # Project was not found, so create a new one
         res = session.send(projects.CreateRequest(name=project_name, description=description or ''))
         return res.response.id
 
+    # This should only happen if backend response was None and so project_id is also None
+    return None
+
 
 def get_queue_id(session, queue):
     # type: ('Session', str) -> Optional[str] # noqa: F821

clearml/datasets/dataset.py

@@ -15,7 +15,7 @@ from pathlib2 import Path
 from .. import Task, StorageManager, Logger
 from ..backend_api.session.client import APIClient
 from ..backend_interface.task.development.worker import DevWorker
-from ..backend_interface.util import mutually_exclusive, exact_match_regex
+from ..backend_interface.util import mutually_exclusive, exact_match_regex, get_existing_project
 from ..config import deferred_config
 from ..debugging.log import LoggerRoot
 from ..storage.helper import StorageHelper
@@ -463,19 +463,25 @@ class Dataset(object):
         self._dirty = False
         self._serialize()
 
-    def finalize(self, verbose=False, raise_on_error=True):
+    def finalize(self, verbose=False, raise_on_error=True, auto_upload=False):
-        # type: (bool, bool) -> bool
+        # type: (bool, bool, bool) -> bool
         """
         Finalize the dataset publish dataset Task. upload must first called to verify there are not pending uploads.
         If files do need to be uploaded, it throws an exception (or return False)
 
         :param verbose: If True print verbose progress report
         :param raise_on_error: If True raise exception if dataset finalizing failed
+        :param auto_upload: Automatically upload dataset if not called yet, will upload to default location.
         """
         # check we do not have files waiting for upload.
         if self._dirty:
-            if raise_on_error:
+            if auto_upload:
+                self._task.get_logger().report_text("Pending uploads, starting dataset upload to {}"
+                                                    .format(self.get_default_storage()))
+                self.upload()
+            elif raise_on_error:
                 raise ValueError("Cannot finalize dataset, pending uploads. Call Dataset.upload(...)")
+            else:
                 return False
 
         status = self._task.get_status()
@@ -898,7 +904,9 @@ class Dataset(object):
             dataset_name=None,  # type: Optional[str]
             dataset_tags=None,  # type: Optional[Sequence[str]]
             only_completed=False,  # type: bool
-            only_published=False  # type: bool
+            only_published=False,  # type: bool
+            auto_create=False,   # type: bool
+            writable_copy=False  # type: bool
     ):
         # type: (...) -> "Dataset"
         """
@@ -910,13 +918,21 @@ class Dataset(object):
         :param dataset_tags: Requested Dataset tags (list of tag strings)
         :param only_completed: Return only if the requested dataset is completed or published
         :param only_published: Return only if the requested dataset is published
+        :param auto_create: Create new dataset if it does not exist yet
+        :param writable_copy: Get a newly created mutable dataset with the current one as its parent,
+            so new files can added to the instance.
         :return: Dataset object
         """
         mutually_exclusive(dataset_id=dataset_id, dataset_project=dataset_project, _require_at_least_one=False)
         mutually_exclusive(dataset_id=dataset_id, dataset_name=dataset_name, _require_at_least_one=False)
         if not any([dataset_id, dataset_project, dataset_name, dataset_tags]):
-            raise ValueError('Dataset selection provided not provided (id/name/project/tags')
+            raise ValueError("Dataset selection criteria not met. Didn't provide id/name/project/tags correctly.")
 
+        if auto_create and not get_existing_project(
+            session=Task._get_default_session(), project_name=dataset_project
+        ):
+            tasks = []
+        else:
             tasks = Task.get_tasks(
                 task_ids=[dataset_id] if dataset_id else None,
                 project_name=dataset_project,
@@ -929,7 +945,12 @@ class Dataset(object):
                     status=['published'] if only_published else
                     ['published', 'completed', 'closed'] if only_completed else None)
             )
+
         if not tasks:
+            if auto_create:
+                instance = Dataset.create(dataset_name=dataset_name, dataset_project=dataset_project,
+                                          dataset_tags=dataset_tags)
+                return instance
             raise ValueError('Could not find Dataset {} {}'.format(
                 'id' if dataset_id else 'project/name',
                 dataset_id if dataset_id else (dataset_project, dataset_name)))
@@ -952,6 +973,17 @@ class Dataset(object):
         if force_download and local_state_file:
             os.unlink(local_state_file)
 
+        # Now we have the requested dataset, but if we want a mutable copy instead, we create a new dataset with the
+        # current one as its parent. So one can add files to it and finalize as a new version.
+        if writable_copy:
+            writeable_instance = Dataset.create(
+                dataset_name=instance.name,
+                dataset_project=instance.project,
+                dataset_tags=instance.tags,
+                parent_datasets=[instance.id],
+            )
+            return writeable_instance
+
         return instance
 
     def get_logger(self):