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25_importMarkInformation.py

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+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
+
+def importMarkInformation(api, engine):
+    print('Importing mark information...')
+
+    tableName = "c__6760_markenart"
+    bundleId = 'bc7ce6906f78e760f22ff13226b1332d' # Mark information assignment
+
+    try:
+        processedRows = pd.read_csv(f'./logs/{tableName}.csv')
+    except FileNotFoundError:
+        processedRows = pd.DataFrame(columns=['id', 'docId', 'uuid', 'uri'])
+
+    # Load sources table
+    sqlTable = pd.read_sql_table(tableName, con=engine)
+
+    # Create entities
+    for index, row in sqlTable.iterrows():
+        # For every row in table...
+        if index < len(processedRows) and sqlTable.loc[index, 'id'] == processedRows.loc[index, 'id']:
+            # skip if already processed
+            print(f'Skipping already processed entity {sqlTable.loc[index, "id"]}')
+            continue
+        # Create Entity property dicts
+        entityValues = {}
+        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...
+            value = str(value).replace('&###{{new_line}}###'.format(), '&')
+            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.
+            docId = ''
+            match key:
+                case 'id':
+                    continue
+                case 'f__uuid':
+                    entityValues['f3b8aaf7e79229b4da8214d491e375ec'] = value # UUID
+                    fUuid = value[0]
+                case 'f__5064_num__dat_':
+                    entityValues['fe6921098808e68cae68f0858411826c'] = value # Artist Assignment
+                case 'f__6894_anbr_ort':
+                    entityValues['f694ed57271ab7be57249e0ee5c41ba4'] = value # Location
+                case 'f__6700_mar_dok_nr_':
+                    entityValues['fdd3380d4a11654f32687429796cabc3'] = value # Mark Document Number
+                case 'f__6760_markenart':
+                    entityValues['fd381aa9c3ebdf417e6cbccd60ede279'] = value # Mark Type
+                case 'f__684c_bedeutung_bz':
+                    entityValues['f4947de52885f517baef0cdf3cb53b61'] = value # Meaning Inspection Mark
+                case 'f__684a_bedeutung_mz':
+                    entityValues['f542c4c945725c6fdc5ab6409a877f02'] = value # Meaning Master Mark
+                case 'f__6770_rosenb_nr_':
+                    entityValues['f0ff7020a9c25ea2706875837fe61b04'] = value # Rosenberg Number
+
+                case _:
+                    print(f'{key} is not a valid field, skipping.')
+
+        # Create Material
+        entity = Entity(api=api, fields=entityValues, bundle_id=bundleId)
+        api.save(entity)
+
+        print(f'Created mark information {index}: {entity.uri} of {len(sqlTable)}')
+
+        # Write log
+        processedRows = processedRows._append({'id': row['id'], 'docId': docId, 'uuid': fUuid, 'uri': entity.uri}, ignore_index=True)
+        processedRows.to_csv(f'./logs/{tableName}.csv', index=False)
+
+    print('finish')