full import scripts

24_importArtistAssignment.py

@@ -0,0 +1,83 @@
+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/processedArtistAssignment.csv')
+except FileNotFoundError:
+    processedRows = pd.DataFrame(columns=['docId', 'uuid', 'uri'])
+
+# Load sources table
+artistRelationsTable = pd.read_sql_table('c__ob30_bez_kuenstler', con=engine)
+
+artistRelationValues = {}
+
+# Create artistRelations
+for index, row in artistRelationsTable.iterrows():
+    # For every row in table...
+    if index < len(processedRows) and artistRelationsTable.loc[index, 'id'] == processedRows.loc[index, 'docId']:
+        # skip if already processed
+        print(f'Skipping already processed artistRelation {artistRelationsTable.loc[index, 'id']}')
+        continue
+    # Create Entity property dicts
+    for key, value in row.items():
+        print('value: ', value)
+
+        # 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):
+            # ...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':
+                docId = value[0]
+            case 'f__uuid':
+                artistRelationValues['fc150259d31fea8a3f992e7beb901fa4'] = value # UUID
+            case 'f__3100_name':
+                artistRelationValues['ff5bf58133f9351d03e2ee92b6f8bb7e'] = value # Artist Name
+            case 'f__3475_ber__funkt_':
+                artistRelationValues['fc0c7d8c6b736489210bc42ef0f1406a'] = value # Occupation
+            case 'f__ob30_bez_kuenstler':
+                artistRelationValues['f575d4f2c8ea5d37618cea708c2a7c5e'] = value # Relation
+            case _:
+                print(f'{key} is not a valid field, skipping.')
+
+
+    artistRelation = Entity(api=api, fields=artistRelationValues, bundle_id='bc8826cc7d9c9373ce71cfc0251c2a4f')
+    api.save(artistRelation)
+
+    print(f'Created artistRelation {index}: {artistRelation.uri} of {len(artistRelationsTable)}')
+
+    # Write log
+    processedRows = processedRows._append({'docId': docId, 'uuid': artistRelationValues['fc150259d31fea8a3f992e7beb901fa4'][0], 'uri': artistRelation.uri}, ignore_index=True)
+    processedRows.to_csv(f'./logs/processedArtistAssignment.csv', index=False)
+
+print('finish')