Remove test aspects requiring published datasets

ATM we are no capable of cleaning up such datasets after a testrun,
because we do not have superuser permissions on demo.dataverse.org

This also removed the now obsolete test fixtures.

Issue datalad#216 tracks a suitable fix.

Closes datalad#215

datalad_dataverse/conftest.py

@@ -14,6 +14,4 @@
     dataverse_dataset,
     dataverse_demoinstance_url,
     dataverse_instance_url,
-    dataverse_published_collection,
-    dataverse_publishable_dataset,
 )

datalad_dataverse/tests/fixtures.py

@@ -77,27 +77,6 @@ def dataverse_collection(dataverse_admin_api,
     dataverse_admin_api.delete_dataverse(collection_alias)
 
 
-@pytest.fixture(autouse=False, scope='session')
-def dataverse_published_collection(dataverse_admin_api, dataverse_collection):
-    # This may not work in all test setups due to lack of permissions or /root
-    # not being published or it being published already. Try though, since it's
-    # necessary to publish datasets in order to test against dataverse datasets
-    # with several versions.
-    from pyDataverse.exceptions import (
-        ApiAuthorizationError,
-        OperationFailedError,
-    )
-    try:
-        dataverse_admin_api.publish_dataverse(dataverse_collection)
-    except ApiAuthorizationError:
-        # Test setup doesn't allow for it
-        pass
-    except OperationFailedError as e:
-        print(str(e))
-
-    yield dataverse_collection
-
-
 @pytest.fixture(autouse=False, scope='function')
 def dataverse_dataset(dataverse_admin_api, dataverse_collection):
     dspid = create_test_dataverse_dataset(
@@ -109,20 +88,6 @@ def dataverse_dataset(dataverse_admin_api, dataverse_collection):
     dataverse_admin_api.destroy_dataset(dspid)
 
 
-@pytest.fixture(autouse=False, scope='function')
-def dataverse_publishable_dataset(dataverse_admin_api,
-                                  dataverse_published_collection):
-    """Same as `dataverse_dataset` but dataset is part of a published
-    collection. This is required to be able to publish the dataset."""
-    dspid = create_test_dataverse_dataset(
-        dataverse_admin_api, dataverse_published_collection, 'testds')
-
-    yield dspid
-
-    # cleanup
-    dataverse_admin_api.destroy_dataset(dspid)
-
-
 @pytest.fixture(autouse=False, scope='function')
 def dataverse_admin_credential_setup(
         dataverse_admin_token, dataverse_instance_url, credman):

datalad_dataverse/tests/test_create_sibling_dataverse.py

@@ -16,7 +16,7 @@ def test_workflow(dataverse_admin_api,
                   dataverse_admin_credential_setup,
                   dataverse_demoinstance_url,
                   dataverse_instance_url,
-                  dataverse_published_collection,
+                  dataverse_collection,
                   tmp_path,
                   *, mode):
     path = tmp_path / 'ds'
@@ -41,7 +41,7 @@ def test_workflow(dataverse_admin_api,
     try:
         results = ds.create_sibling_dataverse(
             url=dataverse_instance_url,
-            collection=dataverse_published_collection,
+            collection=dataverse_collection,
             name='git_remote',
             storage_name='special_remote',
             mode=mode,
@@ -85,29 +85,6 @@ def test_workflow(dataverse_admin_api,
         ds.save(message="Move a file")
         ds.push(to="git_remote", **ckwa)
 
-        # Publish this version (if we can):
-        # May fail due to same reasons as the publication of the collection in
-        # `_prep_test`.
-        # Plus: Somehow this doesn't workout on demo.dataverse.org
-        #       Looks like we can't modify a published dataset there?
-        #       (In local docker setup that automatically creates a new draft
-        #       version)
-        # However, at least when possible (docker setup with published root
-        # collection), test some aspect of dealing with this.
-        if dataverse_instance_url != dataverse_demoinstance_url:
-            try:
-                response = dataverse_admin_api.publish_dataset(dspid, release_type='major')
-            except Exception as e:
-                # nothing to do - we test what we can test, but print the reason
-                print(str(e))
-            published = response is not None and response.status_code == 200
-            if not published and response is not None:
-                # Publishing didn't succeed, but gave a json reponse not an
-                # exception - print in this case, too.
-                print(f"{response.json()}")
-        else:
-            published = False
-
         # Add a file and push again (creating new draft version)
         (ds.pathobj / "newfile.txt").write_text("Whatever new content")
         ds.save(message="Add a file")

datalad_dataverse/tests/test_pydataverse.py

@@ -174,7 +174,7 @@ def check_upload(api, dsid, fcontent, fpath, src_md5):
 def test_file_removal(
         tmp_path,
         dataverse_admin_api,
-        dataverse_publishable_dataset,
+        dataverse_dataset,
 ):
 
     # the starting point of `dataverse_dataset` is a freshly
@@ -184,7 +184,7 @@ def test_file_removal(
     fpath = tmp_path / 'dummy.txt'
     fpath.write_text(fcontent)
     response = dataverse_admin_api.upload_datafile(
-        identifier=dataverse_publishable_dataset,
+        identifier=dataverse_dataset,
         filename=fpath,
     )
     # worked
@@ -207,27 +207,8 @@ def test_file_removal(
 
     # Re-upload
     response = dataverse_admin_api.upload_datafile(
-        identifier=dataverse_publishable_dataset,
+        identifier=dataverse_dataset,
         filename=fpath,
     )
     assert response.status_code == 200, \
         f"failed to upload file {response.status_code}: {response.json()}"
-
-    fid2 = response.json()['data']['files'][0]['dataFile']['id']
-
-    # Publish the dataset
-    # Note, that "major" release is required. We can't publish a "minor" when
-    # there's no major yet.
-    response = dataverse_admin_api.publish_dataset(
-        dataverse_publishable_dataset, release_type="major")
-    assert response.status_code == 200, \
-        f"publishing dataset failed with {response.status_code}: {response.json()}"
-
-    # We can't remove a file that is part of a published dataset:
-    status = delete(
-        f'{dataverse_admin_api.base_url}/dvn/api/data-deposit/v1.1/swordv2/'
-        f'edit-media/file/{fid2}',
-        auth=HTTPBasicAuth(dataverse_admin_api.api_token, ''))
-
-    assert status.status_code == 400, \
-        f"unexpected status on deletion {status.status_code}: {status.json()}"