full import scripts

10_importMarkDatingInfo.py

@@ -0,0 +1,84 @@
+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/processedDatingInfo.csv')
+except FileNotFoundError:
+    processedRows = pd.DataFrame(columns=[ 'uuid', 'uri'])
+
+# Load sources table
+datingInfosTable = pd.read_sql_table('c__68dm_datierung_marke', con=engine)
+
+datingInfoValues = {}
+
+# Create datingInfos
+for index, row in datingInfosTable.iterrows():
+    # For every row in table...
+    if index < len(processedRows) and datingInfosTable.iloc[index, 0] == processedRows.iloc[index, 0]:
+        # skip if already processed
+        print(f'Skipping already processed datingInfo {datingInfosTable.iloc[index, 0]}')
+        continue
+    # Create Entity property dicts
+    datingInfoValues = {}
+    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 '###{{new_line}}###' in str(value):
+            print('replaced curly braces')
+            value = str(value).replace('###{{new_line}}###', '')
+        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':
+                datingInfoValues['f74baaf58e49393cc89d6616ee197901'] = value # UUID
+            case 'f__68dm_datierung_marke':
+                datingInfoValues['f0da3b36d16e16602bb550aff7d36297'] = value # Date
+            case 'f__68bm_bem_dat_marke':
+                datingInfoValues['fe7870b5a86040d81140bccb01697765'] = value # Note
+
+            case _:
+                print(f'{key} is not a valid field, skipping.')
+
+    # Create Material
+    datingInfo = Entity(api=api, fields=datingInfoValues, bundle_id='b9cfb95e627e1710cf8d736d4ca5db64') #Dating Information Assignment
+    api.save(datingInfo)
+
+    print(f'Created datingInfo {index}: {datingInfo.uri} of {len(datingInfosTable)}')
+
+    # Write log
+    processedRows = processedRows._append({'uuid': datingInfoValues['f74baaf58e49393cc89d6616ee197901'][0], 'uri': datingInfo.uri}, ignore_index=True)
+    processedRows.to_csv(f'./logs/processedDatingInfo.csv', index=False)
+
+print('finish')