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rnsrk
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69 changed files with 4199 additions and 4805 deletions
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@ -5,100 +5,86 @@ import os # For environment variable loading
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from dotenv import load_dotenv # For environment variable loading
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import pandas as pd # For dataframe handling
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# Initialize the database
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print('Initializing the database...')
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engine, metadata, Session = initDb(True, './schemas/')
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if engine == False:
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print('Database initialization failed.')
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exit()
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def importMentioned(api, engine):
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print('Importing mentioned...')
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# Load the environment variables
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load_dotenv()
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test = False
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tableName = "c__7060_erwaehnt__datum_"
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bundleId = 'b04b1756b09ba3260de278824332ad6c'
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# Initialize the WissKI API
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print('Initializing the WissKI API...')
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api_url = os.getenv('API_URL')
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auth = (os.getenv('API_USERNAME'), os.getenv('API_PASSWORD'))
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headers = {"Cache-Control": "no-cache"}
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api = Api(api_url, auth, headers)
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api.pathbuilder = api.get_pathbuilder('default')
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try:
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processedRows = pd.read_csv(f'./logs/{tableName}.csv')
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except FileNotFoundError:
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processedRows = pd.DataFrame(columns=[ 'id', 'uuid', 'uri'])
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test = False
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tableName = "c__7060_erwaehnt__datum_"
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bundleId = 'b04b1756b09ba3260de278824332ad6c'
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# Load sources table
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sqlTable = pd.read_sql_table(tableName, con=engine)
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try:
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processedRows = pd.read_csv(f'./logs/processed-{tableName}.csv')
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except FileNotFoundError:
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processedRows = pd.DataFrame(columns=['docId', 'uuid', 'uri'])
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# Load sources table
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sqlTable = pd.read_sql_table(tableName, con=engine)
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entityValues = {}
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# Create entities
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for index, row in sqlTable.iterrows():
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# For every row in table...
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if index < len(processedRows) and sqlTable.loc[index, 'id'] == processedRows.loc[index, 'docId']:
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# skip if already processed
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print(f'Skipping already processed entity {sqlTable.loc[index, 'id']}')
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continue
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# Create Entity property dicts
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entityValues = {}
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for key, value in row.items():
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# For every column in row...
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if (value is None) or (value == ''):
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# skip if cell has no value
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# Create entities
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for index, row in sqlTable.iterrows():
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# For every row in table...
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if index < len(processedRows) and sqlTable.loc[index, 'id'] == processedRows.loc[index, 'id']:
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# skip if already processed
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print(f'Skipping already processed entity {sqlTable.loc[index, "id"]}')
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continue
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# Properties of an entity have to be an array, so...
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if '&' in str(value):
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# ...Explode "&"-separated values to array items
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value = [x.strip() for x in str(value).split('&')]
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else:
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# ...Or parse to array
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value = [value]
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# Map columns to fields. We use assignments for reification.
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docId = ''
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match key:
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case 'id':
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docId = value[0]
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case 'f__uuid':
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entityValues['fac8bbc9701f5da711a6a49beca1b3e4'] = value # UUID
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fUuid = value[0]
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case 'f__410a_auftraggeber':
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entityValues['f6b456466f45f72952a953bf169a47cc'] = value # Client
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case 'f__7060_erwaehnt__datum_':
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entityValues['ffdae7d7aeb84467faebf5468fb8b94f'] = value # Date
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case 'f__7100_art_ereignis':
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entityValues['fb462fbc544045fc244da8d490ed1cfc'] = value # Event type
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case 'f__70ls_lit__stelle':
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entityValues['f11f8bc3fdbedc686430ef57edfcf620'] = value # Literature Reference
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case 'f__70lt_lit__kurztitel':
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entityValues['f4ed2a340720f643bcc49ac9581b1181'] = value # Literature short title
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case 'f__34ms_bei_meister_':
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entityValues['f9d8ac79df3eb667db8fb8b23e52a816'] = value # Master
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case 'f__70bm_bem_ereignis':
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entityValues['f37dbed94d03576c91fff9c3c9026da5'] = value # Note
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case 'f__70qs_quelle_stelle':
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entityValues['ffc72e8058fd9efd4bb92270520942bd'] = value # Source reference
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case 'f__70qt_quelle_kurztitel':
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entityValues['f433afdf58621b6962dea8821cf21bb9'] = value # Source short title
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case 'f__3420_taet_ort':
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entityValues['f53e436b293c82f07fb17dd40c01f868'] = value # Workplace
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case _:
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print(f'{key} is not a valid field, skipping.')
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# Create Entity property dicts
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entityValues = {}
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for key, value in row.items():
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# For every column in row...
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if (value is None) or (value == ''):
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# skip if cell has no value
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continue
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# Properties of an entity have to be an array, so...
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value = str(value).replace('&###{{new_line}}###'.format(), '&')
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value = str(value).replace('###{{new_line}}###', '&')
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value = str(value).replace(' & ', '&')
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if '&' in str(value):
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# ...Explode "&"-separated values to array items
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value = [x.strip() for x in str(value).split('&')]
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else:
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# ...Or parse to array
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value = [value]
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# Map columns to fields. We use assignments for reification.
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docId = ''
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match key:
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case 'id':
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docId = value[0]
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case 'f__uuid':
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entityValues['fac8bbc9701f5da711a6a49beca1b3e4'] = value # UUID
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fUuid = value[0]
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case 'f__410a_auftraggeber':
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entityValues['f6b456466f45f72952a953bf169a47cc'] = value # Client
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case 'f__7060_erwaehnt__datum_':
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entityValues['ffdae7d7aeb84467faebf5468fb8b94f'] = value # Date
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case 'f__7100_art_ereignis':
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entityValues['fb462fbc544045fc244da8d490ed1cfc'] = value # Event type
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case 'f__70ls_lit__stelle':
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entityValues['f11f8bc3fdbedc686430ef57edfcf620'] = value # Literature Reference
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case 'f__70lt_lit__kurztitel':
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entityValues['f4ed2a340720f643bcc49ac9581b1181'] = value # Literature short title
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case 'f__34ms_bei_meister_':
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entityValues['f9d8ac79df3eb667db8fb8b23e52a816'] = value # Master
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case 'f__70bm_bem_ereignis':
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entityValues['f37dbed94d03576c91fff9c3c9026da5'] = value # Note
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case 'f__70qs_quelle_stelle':
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entityValues['ffc72e8058fd9efd4bb92270520942bd'] = value # Source reference
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case 'f__70qt_quelle_kurztitel':
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entityValues['f433afdf58621b6962dea8821cf21bb9'] = value # Source short title
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case 'f__3420_taet_ort':
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entityValues['f53e436b293c82f07fb17dd40c01f868'] = value # Workplace
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case _:
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print(f'{key} is not a valid field, skipping.')
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# Create Material
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entity = Entity(api=api, fields=entityValues, bundle_id=bundleId)
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api.save(entity)
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# Create Material
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entity = Entity(api=api, fields=entityValues, bundle_id=bundleId)
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api.save(entity)
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print(f'Created entity {index}: {entity.uri} of {len(tableName)}')
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print(f'Created mentioned {index}: {entity.uri} of {len(tableName)}')
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# Write log
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processedRows = processedRows._append({'docId': docId, 'uuid': fUuid, 'uri': entity.uri}, ignore_index=True)
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processedRows.to_csv(f'./logs/processed-{tableName}.csv', index=False)
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if test:
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exit()
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# Write log
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processedRows = processedRows._append({'id': row['id'], 'uuid': fUuid, 'uri': entity.uri}, ignore_index=True)
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processedRows.to_csv(f'./logs/{tableName}.csv', index=False)
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if test:
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exit()
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print('finish')
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print('finish')
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