Download bores by basin name

waternsw_grabber/waternsw_grabber.py

@@ -297,6 +297,9 @@ def telemetered_bore_downloader(basin_name,
         else:
             os.remove(log_name)
 
+    # Wait for downloads to finish
+    time.sleep(10)
+
     # Close browser
     driver.quit()
 
@@ -312,37 +315,41 @@ def get_basins():
     return basins
 
 
-def extract_definitions(input_dir, output_dir):
+def extract_definitions(basin_name, download_dir):
     """Extract variable and quality metadata from bore records.
 
     Args:
-        input_dir:   path to downloaded zip archives
+        basin_name:    basin name (string)
-        output_dir:  path to save csv files
+        download_dir:  path to downloaded zip archives
     """
 
     # Get basin info for telemetered site data
     basins = get_basins()
 
-    # Find zip files
-    zip_names = [f for f in os.listdir(input_dir) if f.endswith('.zip')]
-
     # Prepare output directory
+    output_dir = os.path.join(download_dir, basin_name)
     os.makedirs(output_dir, exist_ok=True)
 
+    # Find zip files
+    zip_names = [f for f in os.listdir(output_dir) if f.endswith('.zip')]
+
+    if not zip_names:
+        raise ValueError('No zip files found')
+
     for zip_name in zip_names:
         # Skip duplicate downloads
         if re.search(r'\([0-9]+\)', zip_name):
             continue
 
         # Rename '.part' file if zip was not correctly downloaded
-        if os.path.getsize(os.path.join(input_dir, zip_name)) == 0:
+        if os.path.getsize(os.path.join(output_dir, zip_name)) == 0:
             shutil.move(
-                os.path.join(input_dir, zip_name) + '.part',
+                os.path.join(output_dir, zip_name) + '.part',
-                os.path.join(input_dir, zip_name))
+                os.path.join(output_dir, zip_name))
 
         # Read csv file inside zip archive
         df = pd.read_csv(
-            os.path.join(input_dir, zip_name),
+            os.path.join(output_dir, zip_name),
             header=2,
             skiprows=[3],
             parse_dates=['Date'],
@@ -388,15 +395,10 @@ def extract_definitions(input_dir, output_dir):
         sites = sites.set_index('ID')
 
         # Get basin from master site dataframe
-        try:
+        codes = basins.groupby('Basin name').first()['Basin code']
-            sites['Basin name'] = basins.loc[sites.index, 'Basin name']
+        basin_code = codes[basin_name]
-            sites['Basin code'] = basins.loc[sites.index, 'Basin code']
+        sites['Basin name'] = basin_name
-        except ValueError:
+        sites['Basin code'] = basin_code
-            # FIXME: Some bores have duplicate IDs!
-            # Get basin name from input directory
-            sites['Basin name'] = input_dir
-            basin_idx = basins['Basin name'] == input_dir
-            sites['Basin code'] = basins.loc[basin_idx, 'Basin code'].values[0]
 
         # Save variable definitions
         variables = pd.DataFrame(
@@ -447,23 +449,24 @@ def extract_definitions(input_dir, output_dir):
     return sites
 
 
-def extract_records(input_dir, output_dir, clean_up=False):
+def extract_records(basin_name, download_dir, clean_up=False):
     """Extract downloaded bore records.
 
     Args:
-        input_dir:   path to downloaded zip archives
+        basin_name:    basin name (string)
-        output_dir:  path to save csv files
+        download_dir:  path to downloaded zip archives
         clean_up:      delete original zip archive after extracting it
     """
 
     # Update definition tables
-    sites = extract_definitions(input_dir, output_dir)
+    sites = extract_definitions(basin_name, download_dir)
 
     # Keep unique basin codes
     basin_codes = sites['Basin code'].unique()
 
     # Find zip files
-    zip_names = [f for f in os.listdir(input_dir) if f.endswith('.zip')]
+    output_dir = os.path.join(download_dir, basin_name)
+    zip_names = [f for f in os.listdir(output_dir) if f.endswith('.zip')]
 
     # Prepare output directory
     os.makedirs(output_dir, exist_ok=True)
@@ -482,14 +485,14 @@ def extract_records(input_dir, output_dir, clean_up=False):
             continue
 
         # Rename '.part' file if zip was not correctly downloaded
-        if os.path.getsize(os.path.join(input_dir, zip_name)) == 0:
+        if os.path.getsize(os.path.join(output_dir, zip_name)) == 0:
             shutil.move(
-                os.path.join(input_dir, zip_name) + '.part',
+                os.path.join(output_dir, zip_name) + '.part',
-                os.path.join(input_dir, zip_name))
+                os.path.join(output_dir, zip_name))
 
         # Read header
         header = pd.read_csv(
-            os.path.join(input_dir, zip_name), compression='zip', nrows=3)
+            os.path.join(output_dir, zip_name), compression='zip', nrows=3)
 
         # Remove comments
         header = header.iloc[:, 1:-1].T
@@ -506,7 +509,7 @@ def extract_records(input_dir, output_dir, clean_up=False):
 
         # Read csv file inside zip archive
         df = pd.read_csv(
-            os.path.join(input_dir, zip_name),
+            os.path.join(output_dir, zip_name),
             header=2,
             skiprows=[3],
             parse_dates=['Date'],
@@ -569,7 +572,7 @@ def extract_records(input_dir, output_dir, clean_up=False):
 
         if clean_up:
             # Remove original zip archive
-            os.remove(os.path.join(input_dir, zip_name))
+            os.remove(os.path.join(output_dir, zip_name))
 
     for basin_code in basin_codes:
         for period in periods: