full import scripts

20_importWorkshops.py

@@ -0,0 +1,86 @@
+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/processedWorkshops.csv')
+except FileNotFoundError:
+    processedRows = pd.DataFrame(columns=[ 'uuid', 'uri'])
+
+test = False
+# Load sources table
+workshopsTable = pd.read_sql_table('c__nfws_forts_werkst_', con=engine)
+
+workshopValues = {}
+
+# Create workshops
+for index, row in workshopsTable.iterrows():
+    # For every row in table...
+    if index < len(processedRows) and workshopsTable.iloc[index, 0] == processedRows.iloc[index, 0]:
+        # skip if already processed
+        print(f'Skipping already processed workshop {workshopsTable.iloc[index, 0]}')
+        continue
+    # Create Entity property dicts
+    workshopValues = {}
+    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):
+            # ...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':
+                workshopValues['fa7c19f4d03d7d15acf588460654bbf2'] = value # UUID
+            case 'f__nfws_forts_werkst_':
+                workshopValues['ff1aaeb118005d8506af6f56f7e424a4'] = value # Continued by
+            case 'f__nfbm_bem_forts_':
+                workshopValues['f71d24e2922d3151603ce144c0972f40'] = value # Note
+            case 'f__nfzr_zeitraumforts_':
+                workshopValues['f865ade60ba332a0a3ab4b77c39af7f4'] = value # Time-Span
+            case _:
+                print(f'{key} is not a valid field, skipping.')
+
+    # Create Material
+    workshop = Entity(api=api, fields=workshopValues, bundle_id='beb03bccbdffdd31567df370303c1e2d')
+    api.save(workshop)
+
+    print(f'Created workshop {index}: {workshop.uri} of {len(workshopsTable)}')
+
+    # Write log
+    processedRows = processedRows._append({'uuid': workshopValues['fa7c19f4d03d7d15acf588460654bbf2'][0], 'uri': workshop.uri}, ignore_index=True)
+    processedRows.to_csv(f'./logs/processedWorkshops.csv', index=False)
+
+    if test:
+        exit()
+
+print('finish')