feat(dataset): import dataset at specific tags

docs/reference/models/refs.rst

@@ -18,5 +18,5 @@
 File References
 ===============
 
-.. automodule:: renku.domain_model.refs
+.. automodule:: renku.core.migration.models.refs
    :members:

renku/command/checks/__init__.py

@@ -22,7 +22,6 @@
 from .external import check_missing_external_files
 from .githooks import check_git_hooks_installed
 from .migration import check_migration
-from .references import check_missing_references
 from .storage import check_lfs_info
 from .validate_shacl import check_datasets_structure, check_project_structure
 
@@ -38,6 +37,5 @@
     "check_migration",
     "check_missing_external_files",
     "check_missing_files",
-    "check_missing_references",
     "check_project_structure",
 )

renku/command/format/dataset_files.py

@@ -157,7 +157,7 @@ def json(records, **kwargs):
 
 DATASET_FILES_COLUMNS = {
     "added": ("date_added", "added"),
-    "commit": ("entity.checksum", "commit"),
+    "checksum": ("entity.checksum", "checksum"),
     "creators": ("creators_csv", "creators"),
     "creators_full": ("creators_full_csv", "creators"),
     "dataset": ("title", "dataset"),
@@ -167,6 +167,7 @@ def json(records, **kwargs):
     "dataset_name": ("dataset_name", "dataset name"),
     "size": ("size", None),
     "lfs": ("is_lfs", "lfs"),
+    "source": ("source", None),
 }
 
 DATASET_FILES_COLUMNS_ALIGNMENTS = {"size": "right"}

renku/command/move.py

@@ -175,8 +175,8 @@ def _warn_about_ignored_destinations(destinations, client_dispatcher: IClientDis
 
     ignored = client.find_ignored_paths(*destinations)
     if ignored:
-        ignored = "\n\t".join((str(Path(p).relative_to(client.path)) for p in ignored))
-        communication.warn(f"The following moved path match .gitignore:\n\t{ignored}")
+        ignored_str = "\n\t".join((str(Path(p).relative_to(client.path)) for p in ignored))
+        communication.warn(f"The following moved path match .gitignore:\n\t{ignored_str}")
 
 
 @inject.autoparams()

renku/core/dataset/constant.py

@@ -21,14 +21,16 @@
 
 from renku.core.constant import RENKU_HOME
 from renku.core.management.repository import RepositoryApiMixin
-from renku.domain_model.refs import LinkReference
 
 POINTERS = "pointers"
 """Directory for storing external pointer files."""
 
 DATASET_IMAGES = "dataset_images"
 """Directory for dataset images."""
 
+REFS = "refs"
+"""Define a name of the folder with references in the Renku folder."""
+
 
 def renku_dataset_images_path(client):
     """Return a ``Path`` instance of Renku dataset metadata folder."""
@@ -46,6 +48,6 @@ def renku_pointers_path(client):
     Path(RENKU_HOME) / RepositoryApiMixin.DATABASE_PATH,
     Path(RENKU_HOME) / DATASET_IMAGES,
     Path(RENKU_HOME) / POINTERS,
-    Path(RENKU_HOME) / LinkReference.REFS,
+    Path(RENKU_HOME) / REFS,
     ".gitattributes",
 ]

renku/core/dataset/dataset.py

@@ -369,7 +369,7 @@ def export_dataset(name, provider_name, publish, tag, client_dispatcher: IClient
     except KeyError:
         raise errors.ParameterError("Unknown provider.")
 
-    provider.set_parameters(**kwargs)
+    provider.set_export_parameters(**kwargs)
 
     selected_tag = None
     tags = datasets_provenance.get_all_tags(dataset)  # type: ignore
@@ -424,6 +424,7 @@ def import_dataset(
     previous_dataset=None,
     delete=False,
     gitlab_token=None,
+    **kwargs,
 ):
     """Import data from a 3rd party provider or another renku project.
 
@@ -449,11 +450,13 @@ def import_dataset(
 
     assert provider is not None
 
+    provider.set_import_parameters(**kwargs)
+
     try:
         record = provider.find_record(uri, gitlab_token=gitlab_token)
         provider_dataset: ProviderDataset = record.as_dataset(client)
         files: List[ProviderDatasetFile] = record.files_info
-        total_size = 0
+        total_size = 0.0
 
         if not yes:
             communication.echo(
@@ -477,9 +480,9 @@ def import_dataset(
 
             communication.confirm(text_prompt, abort=True, warning=True)
 
-            for file_ in files:
-                if file_.size_in_mb is not None:
-                    total_size += file_.size_in_mb
+            for file in files:
+                if file.size_in_mb is not None:
+                    total_size += file.size_in_mb
 
             total_size *= 2**20
 
@@ -509,7 +512,7 @@ def import_dataset(
             with_metadata=provider_dataset,
             force=True,
             extract=extract,
-            all_at_once=True,
+            is_import=True,
             destination_names=names,
             total_size=total_size,
             overwrite=True,
@@ -535,39 +538,45 @@ def import_dataset(
         if not provider_dataset.data_dir:
             raise errors.OperationError(f"Data directory for dataset must be set: {provider_dataset.name}")
 
-        sources = []
-
-        if record.datadir_exists:
-            sources = [f"{provider_dataset.data_dir}/*"]
-
-        for file in files:
-            try:
-                Path(file.path).relative_to(provider_dataset.data_dir)
-            except ValueError:  # Files that are not in dataset's data directory
-                sources.append(file.path)
+        if provider_dataset.version:  # NOTE: A tag was specified for import
+            sources, checksums = zip(*[(f.path, f.checksum) for f in files])  # type: ignore
+        else:
+            sources = [f.path for f in files]  # type: ignore
+            checksums = None
 
         new_dataset = add_data_to_dataset(
             urls=[record.project_url],
             dataset_name=name,
             sources=sources,
+            checksums=checksums,
             with_metadata=provider_dataset,
+            is_renku_import=True,
             create=not previous_dataset,
             overwrite=True,
             repository=record.repository,
             clear_files_before=True,
+            dataset_datadir=provider_dataset.data_dir,
+            force=True,  # NOTE: Force-add to include any ignored files
         )
 
         if previous_dataset:
             _update_datasets_metadata(new_dataset, previous_dataset, delete, provider_dataset.same_as)
 
+        if provider_dataset.version:
+            add_dataset_tag(
+                dataset_name=new_dataset.name,
+                tag=provider_dataset.version,
+                description=f"Tag {provider_dataset.version} created by renku import",
+            )
+
         record.import_images(new_dataset)
 
     database_dispatcher.current_database.commit()
 
 
 @inject.autoparams()
 def update_datasets(
-    names,
+    names: List[str],
     creators,
     include,
     exclude,
@@ -594,41 +603,56 @@ def update_datasets(
         client_dispatcher(IClientDispatcher): Injected client dispatcher.
         dataset_gateway(IDatasetGateway): Injected dataset gateway.
     """
+    from renku.core.dataset.providers.renku import RenkuProvider
+
     if not update_all and not names and not include and not exclude and not dry_run:
         raise errors.ParameterError("No update criteria is specified")
 
     client = client_dispatcher.current_client
 
-    imported_datasets: List[Dataset] = []
+    imported_dataset_updates: List[Dataset] = []
 
     all_datasets = dataset_gateway.get_all_active_datasets()
+    imported_datasets = [d for d in all_datasets if d.same_as]
 
     if names and update_all:
         raise errors.ParameterError("Cannot pass dataset names when updating all datasets")
     elif (include or exclude) and update_all:
         raise errors.ParameterError("Cannot specify include and exclude filters when updating all datasets")
-    elif (include or exclude) and names and any(d.same_as for d in all_datasets if d.name in names):
+    elif (include or exclude) and names and any(d for d in imported_datasets if d.name in names):
         raise errors.IncompatibleParametersError(a="--include/--exclude", b="imported datasets")
 
-    names_provided = bool(names)
+    names = names or [d.name for d in all_datasets]
 
     # NOTE: update imported datasets
     if not include and not exclude:
-        for dataset in all_datasets:
-            if names and dataset.name not in names or not dataset.same_as:
+        must_match_records = False
+
+        for dataset in imported_datasets:
+            if dataset.name not in names:
                 continue
 
-            uri = dataset.same_as.url
-            if isinstance(uri, dict):
-                uri = cast(str, uri.get("@id"))
+            uri = dataset.same_as.value  # type: ignore
             provider, _ = ProviderFactory.from_uri(uri)
 
             if not provider:
                 continue
 
             record = provider.find_record(uri)
 
-            if record.is_last_version(uri) and record.version == dataset.version:
+            if isinstance(provider, RenkuProvider) and dataset.version is not None:
+                tags = dataset_gateway.get_all_tags(dataset=dataset)
+                tag = next((t for t in tags if t.name == dataset.version), None)
+                # NOTE: Do not update Renku dataset that are imported from a specific version
+                if tag is not None and tag.dataset_id.value == dataset.id:
+                    communication.echo(
+                        f"Skipped updating imported Renku dataset '{dataset.name}' with tag '{tag.name}'"
+                    )
+                    names.remove(dataset.name)
+                    continue
+
+            if record.is_last_version(uri) and record.is_version_equal_to(dataset):
+                names.remove(dataset.name)
                 continue
 
             if not dry_run:
@@ -651,25 +675,25 @@ def update_datasets(
 
                 communication.echo(f"Updated dataset '{dataset.name}' from remote provider")
 
-            if names:
-                names.remove(dataset.name)
-            imported_datasets.append(dataset)
+            names.remove(dataset.name)
+            imported_dataset_updates.append(dataset)
     else:
-        imported_datasets = [d for d in all_datasets if d.same_as]
+        must_match_records = True
 
-    imported_datasets_view_models = [DatasetViewModel.from_dataset(d) for d in imported_datasets]
+    imported_dataset_updates_view_models = [DatasetViewModel.from_dataset(d) for d in imported_dataset_updates]
 
-    if names_provided and not names:
-        return imported_datasets_view_models, []
+    if not names:
+        return imported_dataset_updates_view_models, []
 
+    # NOTE: Exclude all imported dataset from individual file filter
     records = filter_dataset_files(
         names=names, creators=creators, include=include, exclude=exclude, ignore=[d.name for d in imported_datasets]
     )
 
     if not records:
-        if imported_datasets:
-            return imported_datasets_view_models, []
-        raise errors.ParameterError("No files matched the criteria.")
+        if must_match_records:
+            raise errors.ParameterError("No files matched the criteria.")
+        return imported_dataset_updates_view_models, []
 
     git_files = []
     unique_remotes = set()
@@ -730,7 +754,7 @@ def update_datasets(
     dataset_files_view_models = [
         DatasetFileViewModel.from_dataset_file(cast(DatasetFile, f), f.dataset) for f in updated_files + deleted_files
     ]
-    return imported_datasets_view_models, dataset_files_view_models
+    return imported_dataset_updates_view_models, dataset_files_view_models
 
 
 def show_dataset(name: str, tag: Optional[str] = None):