Feature : HDX Table within database

.github/workflows/Unit-Test.yml

@@ -33,6 +33,7 @@ jobs:
       ALLOW_BIND_ZIP_FILTER: ${{ secrets.ALLOW_BIND_ZIP_FILTER }}
       APP_SECRET_KEY: ${{ secrets.APP_SECRET_KEY }}
       ENABLE_HDX_EXPORTS: ${{ secrets.ENABLE_HDX_EXPORTS }}
+      ENABLE_CUSTOM_EXPORTS: True
       ENABLE_POLYGON_STATISTICS_ENDPOINTS: ${{ secrets.ENABLE_POLYGON_STATISTICS_ENDPOINTS }}
       POLYGON_STATISTICS_API_URL: ${{ secrets.POLYGON_STATISTICS_API_URL }}
       HDX_API_KEY: ${{ secrets.HDX_API_KEY }}
@@ -58,6 +59,7 @@ jobs:
           export PGPASSWORD='admin';
           psql -U postgres -h localhost -p 5434 raw  < tests/fixtures/pokhara.sql
           psql -U postgres -h localhost -p 5434 raw  < backend/sql/countries.sql
+          psql -U postgres -h localhost -p 5434 raw  < API/data/hdx.sql
 
       - name: Install gdal
         run: sudo apt-get update && sudo apt-get -y install gdal-bin python3-gdal && sudo apt-get -y autoremove && sudo apt-get clean

API/api_worker.py

@@ -12,7 +12,7 @@
 import sozipfile.sozipfile as zipfile
 from celery import Celery
 
-from src.app import HDX, PolygonStats, RawData, S3FileTransfer
+from src.app import CustomExport, PolygonStats, RawData, S3FileTransfer
 from src.config import ALLOW_BIND_ZIP_FILTER
 from src.config import CELERY_BROKER_URL as celery_broker_uri
 from src.config import CELERY_RESULT_BACKEND as celery_backend
@@ -178,9 +178,6 @@ def process_raw_data(self, params):
 
         # getting file size of zip , units are in bytes converted to mb in response
         zip_file_size = os.path.getsize(upload_file_path)
-        # watches the status code of the link provided and deletes the file if it is 200
-        if use_s3_to_upload:
-            watch_s3_upload(download_url, upload_file_path)
         if use_s3_to_upload or bind_zip:
             # remove working dir from the machine , if its inside zip / uploaded we no longer need it
             remove_file(working_dir)
@@ -217,11 +214,11 @@ def process_custom_request(self, params):
 
     if not params.dataset:
         params.dataset = DatasetConfig()
-    hdx_object = HDX(params)
+    custom_object = CustomExport(params)
     try:
-        return hdx_object.process_hdx_tags()
+        return custom_object.process_custom_categories()
     except Exception as ex:
-        hdx_object.clean_resources()
+        custom_object.clean_resources()
         raise ex
 
 
@@ -231,32 +228,3 @@ def remove_file(path: str) -> None:
         shutil.rmtree(path)
     except OSError as ex:
         logging.error("Error: %s - %s.", ex.filename, ex.strerror)
-
-
-def watch_s3_upload(url: str, path: str) -> None:
-    """Watches upload of s3 either it is completed or not and removes the temp file after completion
-
-    Args:
-        url (_type_): url generated by the script where data will be available
-        path (_type_): path where temp file is located at
-    """
-    start_time = time.time()
-    remove_temp_file = True
-    check_call = requests.head(url).status_code
-    if check_call != 200:
-        logging.debug("Upload is not done yet waiting ...")
-        while check_call != 200:  # check until status is not green
-            check_call = requests.head(url).status_code
-            if time.time() - start_time > 300:
-                logging.error(
-                    "Upload time took more than 5 min , Killing watch : %s , URL : %s",
-                    path,
-                    url,
-                )
-                remove_temp_file = False  # don't remove the file if upload fails
-                break
-            time.sleep(3)  # check each 3 second
-    # once it is verfied file is uploaded finally remove the file
-    if remove_temp_file:
-        logging.debug("File is uploaded at %s , flushing out from %s", url, path)
-        os.unlink(path)