full import scripts

12_importBirth.py

@@ -0,0 +1,98 @@
+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')
+
+test = False
+tableName = "c__3270_geb_datum"
+bundleId = 'b54049ec931bffb62359b4bdb11435fc'
+
+try:
+    processedRows = pd.read_csv(f'./logs/processed-{tableName}.csv')
+except FileNotFoundError:
+    processedRows = pd.DataFrame(columns=['docId', 'uuid', 'uri'])
+
+# Load sources table
+sqlTable = pd.read_sql_table(tableName, con=engine)
+
+entityValues = {}
+
+# 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, 'docId']:
+        # 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...
+        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['ff2a4da76944f5aba7d625c169d9ff66'] = value # UUID
+                fUuid = value[0]
+            case 'f__3290_geb_ort':
+                entityValues['fe71d86a78289c0b54242f5a3b67f81f'] = value # Birth place
+            case 'f__3270_geb_datum':
+                entityValues['ff3a9f042976963ac356db02d764b002'] = value # Date
+            case 'f__32ls_lit__stelle':
+                entityValues['fa03638df8a53e9aae38471fe10f409a'] = value # Literature Reference
+            case 'f__32lt_lit__kurztitel':
+                entityValues['f1af25f1770bd0db1982780697600cf4'] = value # Literature short title
+            case 'f__32bm_bem_geburt':
+                entityValues['f572f5e0f02f1c9b7c3ece5ffcf86c43'] = value # Note
+            case 'f__32qs_quelle_stelle':
+                entityValues['f1ebceaa76bac9ebf266733f64caa37c'] = value # Source reference
+            case 'f__32qt_quelle_kurztitel':
+                entityValues['f1a3597a874b3df9c1d87c5a32b487b0'] = value # Source short title
+            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 entity {index}: {entity.uri} of {len(sqlTable)}')
+
+    # Write log
+    processedRows = processedRows._append({'docId': docId, 'uuid': fUuid, 'uri': entity.uri}, ignore_index=True)
+    processedRows.to_csv(f'./logs/processed-{tableName}.csv', index=False)
+    if test:
+        exit()
+
+print('finish')