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26_importPhotographer.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 importPhotographer(api, engine):
+    print('Importing photographer...')
+
+    tableName = "c__8490_fotograf"
+    bundleId = 'b821fb6c518948b7f40d17803b6ce293' # Photographer assignment
+
+    try:
+        processedRows = pd.read_csv(f'./logs/{tableName}.csv')
+    except FileNotFoundError:
+        processedRows = pd.DataFrame(columns=[ 'id', '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':
+                    docId = value[0]
+                case 'f__uuid':
+                    entityValues['f6c3c3e35af2f2073fd517aabf88fa7c'] = value # UUID
+                    docUuid = value[0]
+                case 'f__8490_fotograf':
+                    entityValues['fe8f8b235f896862b74caa0fa8f3682d'] = value # Photographer
+                case 'f__8494_aufn_datum':
+                    entityValues['f12c7538643314f0f46ba76a5140a87d'] = value # Recording Date
+                case 'f__8470_aufnahmenr_':
+                    entityValues['ff6ec986fb4cc5a2f34deb7144f2f817'] = value # Recording number
+                case 'f__849r_repro_datei': # Image Assignment
+                    entityValues['f24a609593559a904a0a0f2e215db584'] = value # Reproduction 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 Photographer {index}: {entity.uri} of {len(sqlTable)}')
+
+        # Write log
+        processedRows = processedRows._append({'id': row['id'], 'uuid': docUuid, 'uri': entity.uri}, ignore_index=True)
+        processedRows.to_csv(f'./logs/{tableName}.csv', index=False)
+
+    print('finished importing photographer')