109 lines
4.9 KiB
Python
109 lines
4.9 KiB
Python
import uuid # For UUID creation
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from initDb import initDb # For database initialization
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from wisski.api import Api, Pathbuilder, Entity # For WissKI API
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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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# Load the environment variables
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load_dotenv()
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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.pathbuilders = ['default']
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try:
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processedRows = pd.read_csv(f'./logs/processedAdministrators.csv')
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except FileNotFoundError:
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processedRows = pd.DataFrame(columns=['administratorId', 'uuid', 'uri'])
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# Load sources table
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administratorsTable = pd.read_sql_table('c__vwr', con=engine)
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administratorValues = {}
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digitisationProcessValues = {'f32274ec0032b8778ba69d20108590cc': [str(uuid.uuid4())]}
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# Create administrators
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for index, row in administratorsTable.iterrows():
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# For every row in table...
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if index < len(processedRows) and administratorsTable.iloc[index, 0] == processedRows.iloc[index, 0]:
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# skip if already processed
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print(f'Skipping already processed administrator {administratorsTable.iloc[index, 0]}')
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continue
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# Create Entity property dicts
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administratorValues = {}
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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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if '###{' in str(value):
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print('replaced curly braces')
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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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match key:
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case 'id':
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continue
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case 'f__uuid':
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administratorValues['f707e595ce7301d61c064e8e44c9c4f4'] = value # UUID
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case 'f__vwra_vwr_adresse':
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administratorValues['f303bbabf3d97536777b0f552d20bc7a'] = value # Address
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case 'f__vwrn_vwr_dok_nr_':
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administratorValues['f37e82c36b4fc6b275a1a86a389481e1'] = value # Administrator document number
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case 'f__vwrb_verw_publ_bez':
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administratorValues['ffc50ffbcc3f411ed63e3c6dfc6b4d80'] = value # Appellation in publication
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case 'f__9990_kommentar':
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administratorValues['fcf9600af8c3eff355eb42466e9aac39'] = value # Comment
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case 'f__2900_verw_langbez_':
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administratorValues['f78d3c9e6800adbb8a9af0867cbdf3c7'] = value # Long Appellation
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case 'f__2864_ort':
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administratorValues['fecf6c9d7cbae513923e411178516378'] = value # Place
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case 'f__290a_verw_kurzbez_':
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administratorValues['fddaae99f4c6a835d9f9f195523c85f7'] = value # Short appellation
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# Digitisation Process
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case 'f__9900_datum_erfassung':
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digitisationProcessValues['f1f5dd22371e5c1de41e0fb099e0e862'] = value # Recording date
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case 'f__99ae_datum_aenderung':
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digitisationProcessValues['f8976c6a9e5d91fe9caba8a57c27f204'] = value # Change date
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case 'f__efbm_bem_erfassung':
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digitisationProcessValues['f78a6310d13c717b82ddba814ac59024'] = value # Recording note
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case _:
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print(f'{key} is not a valid field, skipping.')
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# Create Digitisation Process
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digitisationProcess = Entity(api=api, fields=digitisationProcessValues, bundle_id='b22e6c47ccb3ab8a974b37279e1bc33b')
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api.save(digitisationProcess)
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# Set Digitisation Process
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administratorValues['f3ec4640a87bd4534763af0fca050193'] = [digitisationProcessValues['f32274ec0032b8778ba69d20108590cc'][0]] # Digitisation Process
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# Create Material
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administrator = Entity(api=api, fields=administratorValues, bundle_id='b4e5a6a31ff575ab09b07b5f27d322ab') # Administrator
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api.save(administrator)
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print(f'Created administrator {index}: {administrator.uri}')
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# Write log
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processedRows = processedRows._append({'administratorId': administratorValues['f37e82c36b4fc6b275a1a86a389481e1'][0], 'uuid': administratorValues['f707e595ce7301d61c064e8e44c9c4f4'][0], 'uri': administrator.uri}, ignore_index=True)
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processedRows.to_csv(f'./logs/processedAdministrators.csv', index=False)
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print('finish')
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