Change to modifying data_path instead of download_data.

allensdk/brain_observatory/behavior/behavior_project_cache/project_apis/data_io/natural_movie_one_cache.py

@@ -34,26 +34,41 @@ def _list_all_manifests(self) -> list:
         """
         return None
 
-    def download_data(self) -> pathlib.Path:
+    def data_path(self, file_id) -> dict:
         """
-        Return the local path to a data file, downloading the file
-        if necessary
+        Return the local path to a data file, and test for the
+        file's existence
+
+        Parameters
+        ----------
+        file_id:
+            The unique identifier of the file to be accessed
 
         Returns
         -------
-        pathlib.Path
-            The path indicating where the file is stored on the
-            local system
+        dict
+
+            'local_path' will be a pathlib.Path pointing to the file's location
+
+            'exists' will be a boolean indicating if the file
+            exists in a valid state
+
+            'file_attributes' is a CacheFileAttributes describing the file
+            in more detail
 
         Raises
         ------
         RuntimeError
             If the file cannot be downloaded
         """
-        was_downloaded = self._download_file(self._file_attributes)
-        if was_downloaded:
-            self._update_list_of_downloads(self._file_attributes)
-        return self._file_attributes.local_path
+        file_attributes = self._file_attributes
+        exists = self._file_exists(file_attributes)
+        local_path = file_attributes.local_path
+        output = {'local_path': local_path,
+                  'exists': exists,
+                  'file_attributes': file_attributes}
+
+        return output
 
     def get_raw_movie(self):
         """Download the raw movie data from the cloud and return it as a numpy
@@ -63,7 +78,7 @@ def get_raw_movie(self):
         -------
         raw_movie : np.ndarray
         """
-        return np.load(self.download_data())
+        return np.load(self.download_data(None))
 
     def get_processed_template_movie(self, n_workers=None):
         """Download the movie if needed and process it into warped and unwarped