Remove duplicated code for dev and prod

applications/visualizer/backend/visualizer/settings/development.py

@@ -61,105 +61,3 @@ def get_metadata_files(self, dataset_id):
 
 RAW_DB_DATA_DOWNLOADER = DbDataDownloader
 METADATA_DOWNLOADER = DbDataDownloader
-
-
-GCS_BUCKET = "celegans"
-GCS_BUCKET_URL = f"https://storage.googleapis.com/{GCS_BUCKET}"
-DB_RAW_DATA_FOLDER = "db-raw-data"
-
-
-class DbDataDownloader:
-    def __init__(self):
-        self.session = Session(multiplexed=True)
-
-    def get_summary(self):
-        summary_content = self.session.get(
-            f"{GCS_BUCKET_URL}/{DB_RAW_DATA_FOLDER}/summary.txt", allow_redirects=True
-        )
-        if summary_content.status_code != 200:
-            raise Exception(
-                f"Error while pulling 'summary.txt' from the bucket: {summary_content}"
-            )
-        assert summary_content.text, "The summary.txt looks empty"
-        return summary_content.text
-
-    def pull_files(self):
-        summary = self.get_summary()
-        files = {}
-        print("Pulling DB data files from the bucket (multiplexed)...")
-        for bucket_file_path in summary.split():
-            destination = BASE_DIR / bucket_file_path
-            print(f"  . pulling gs://{GCS_BUCKET}/{bucket_file_path} to {destination}")
-            files[destination] = self.session.get(
-                f"{GCS_BUCKET_URL}/{bucket_file_path}", allow_redirects=True
-            )
-        self.session.gather()
-        print("Writing the files...")
-        for file_path, result in files.items():
-            file_path.parent.mkdir(parents=True, exist_ok=True)
-            file_path.write_text(result.text)
-
-        # We pull the segmentation metadata and the EM viewer metadata
-        self._pull_metadata()
-
-        return BASE_DIR / DB_RAW_DATA_FOLDER
-
-    def _pull_metadata(self):
-        db_data_folder = BASE_DIR / DB_RAW_DATA_FOLDER
-        datasets = json.loads((db_data_folder / "datasets.json").read_text())
-        files = {}
-        print(
-            "Pulling EM viewer and segmentation config data files from the bucket (multiplexed)..."
-        )
-        for dataset in datasets:
-            dataset_id = dataset["id"]
-            em_metadata = db_data_folder / dataset_id / "em_metadata.json"
-            segmentation_metadata = (
-                db_data_folder / dataset_id / "segmentation_metadata.json"
-            )
-            files[segmentation_metadata] = self._pull_segmentation_metadata(dataset_id)
-            files[em_metadata] = self._pull_em_metadata(dataset_id)
-
-        for file_path, result in files.items():
-            if result.status_code != 200 or not result.text:
-                print(f"  [ ] no {file_path.name} data for {file_path.parent.name}")
-                continue
-            print(
-                f"  [x] configuration found for {file_path.parent.name}, writing in {file_path}"
-            )
-            file_path.parent.mkdir(parents=True, exist_ok=True)
-            file_path.write_text(result.text)
-
-    def _pull_segmentation_metadata(self, dataset_id):
-        url = f"{GCS_BUCKET_URL}/{dataset_id}/segmentations/metadata.json"
-        print(f"  . pulling gs://{url}")
-        return self.session.get(url)
-
-    def _pull_em_metadata(self, dataset_id):
-        url = f"{GCS_BUCKET_URL}/{dataset_id}/em/metadata.json"
-        print(f"  . pulling gs://{url}")
-        return self.session.get(url)
-
-    @classmethod
-    def get_segmentation_metadata(cls, dataset_id):
-        file = BASE_DIR / DB_RAW_DATA_FOLDER / dataset_id / "segmentation_metadata.json"
-        if not file.exists():
-            return {}
-        return json.loads(file.read_text())
-
-    @classmethod
-    def get_em_metadata(cls, dataset_id):
-        file = BASE_DIR / DB_RAW_DATA_FOLDER / dataset_id / "em_metadata.json"
-        if not file.exists():
-            return {}
-        return json.loads(file.read_text())
-
-    def get_metadata_files(self, dataset_id):
-        return (
-            self.get_em_metadata(dataset_id),
-            self.get_segmentation_metadata(dataset_id),
-        )
-
-
-RAW_DB_DATA_DOWNLOADER = DbDataDownloader
-METADATA_DOWNLOADER = DbDataDownloader