full import scripts

08_importInspectionMarkLocation.py

@@ -0,0 +1,85 @@
+import uuid # For UUID creation
+from initDb import initDb # For database initialization
+from wisski.api import Api, Pathbuilder, Entity # For WissKI API
+import os # For environment variable loading
+from dotenv import load_dotenv # For environment variable loading
+import pandas as pd # For dataframe handling
+
+# Initialize the database
+print('Initializing the database...')
+engine, metadata, Session = initDb(True, './schemas/')
+if engine == False:
+    print('Database initialization failed.')
+    exit()
+
+# Load the environment variables
+load_dotenv()
+
+# Initialize the WissKI API
+print('Initializing the WissKI API...')
+api_url = os.getenv('API_URL')
+auth = (os.getenv('API_USERNAME'), os.getenv('API_PASSWORD'))
+headers = {"Cache-Control": "no-cache"}
+api = Api(api_url, auth, headers)
+api.pathbuilder = api.get_pathbuilder('default')
+
+try:
+    processedRows = pd.read_csv(f'./logs/processedInspectionMarkLocation.csv')
+except FileNotFoundError:
+    processedRows = pd.DataFrame(columns=['id', 'uuid', 'uri'])
+
+# Load sources table
+inspectionMarkLocationsTable = pd.read_sql_table('c__67b0_bz_dok_nr', con=engine)
+
+inspectionMarkLocationValues = {}
+
+# Create inspectionMarkLocations
+for index, row in inspectionMarkLocationsTable.iterrows():
+    # For every row in table...
+    if index < len(processedRows) and inspectionMarkLocationsTable.iloc[index, 0] == processedRows.iloc[index, 0]:
+        # skip if already processed
+        print(f'Skipping already processed inspectionMarkLocation {inspectionMarkLocationsTable.iloc[index, 0]}')
+        continue
+    # Create Entity property dicts
+    inspectionMarkLocationValues = {}
+    for key, value in row.items():
+        # For every column in row...
+        if (value is None) or (value == ''):
+            #  skip if cell has no value
+            continue
+        # Properties of an entity have to be an array, so...
+        if '###{' in str(value):
+            print('replaced curly braces')
+            value = str(value).replace('###{new_line', '')
+            value = str(value).replace('}###', '')
+        if '&' in str(value):
+            # ...Explode "&"-separated values to array items
+            value = [x.strip() for x in str(value).split('&')]
+        else:
+            # ...Or parse to array
+            value = [value]
+        # Map columns to fields. We use assignments for reification.
+        match key:
+            case 'id':
+                continue
+            case 'f__uuid':
+                inspectionMarkLocationValues['f65178b07306225efb0b556f6e4f54a5'] = value # UUID
+            case 'f__67b0_bz_dok_nr':
+                inspectionMarkLocationValues['f2d0b120ed40e17a5ad3f31d594d9b1c'] = value # Inspection Mark Identifier
+            case 'f__67b4_anbr_ort':
+                inspectionMarkLocationValues['f8a6343c2a8a5523eb2f0602f2baae04'] = value # Location
+
+            case _:
+                print(f'{key} is not a valid field, skipping.')
+
+    # Create Material
+    inspectionMarkLocation = Entity(api=api, fields=inspectionMarkLocationValues, bundle_id='b4158ec3a326d8ab504062296a82f13a')
+    api.save(inspectionMarkLocation)
+
+    print(f'Created inspectionMarkLocation {index}: {inspectionMarkLocation.uri}')
+
+    # Write log
+    processedRows = processedRows._append({'id': row['id'], 'uuid': inspectionMarkLocationValues['f65178b07306225efb0b556f6e4f54a5'][0], 'uri': inspectionMarkLocation.uri}, ignore_index=True)
+    processedRows.to_csv(f'./logs/processedInspectionMarkLocation.csv', index=False)
+
+print('finish')