85 lines
3.4 KiB
Python
85 lines
3.4 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.pathbuilder = api.get_pathbuilder('default')
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try:
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processedRows = pd.read_csv(f'./logs/processedInspectionMarkLocation.csv')
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except FileNotFoundError:
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processedRows = pd.DataFrame(columns=['id', 'uuid', 'uri'])
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# Load sources table
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inspectionMarkLocationsTable = pd.read_sql_table('c__67b0_bz_dok_nr', con=engine)
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inspectionMarkLocationValues = {}
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# Create inspectionMarkLocations
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for index, row in inspectionMarkLocationsTable.iterrows():
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# For every row in table...
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if index < len(processedRows) and inspectionMarkLocationsTable.iloc[index, 0] == processedRows.iloc[index, 0]:
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# skip if already processed
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print(f'Skipping already processed inspectionMarkLocation {inspectionMarkLocationsTable.iloc[index, 0]}')
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continue
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# Create Entity property dicts
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inspectionMarkLocationValues = {}
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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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inspectionMarkLocationValues['f65178b07306225efb0b556f6e4f54a5'] = value # UUID
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case 'f__67b0_bz_dok_nr':
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inspectionMarkLocationValues['f2d0b120ed40e17a5ad3f31d594d9b1c'] = value # Inspection Mark Identifier
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case 'f__67b4_anbr_ort':
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inspectionMarkLocationValues['f8a6343c2a8a5523eb2f0602f2baae04'] = value # Location
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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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inspectionMarkLocation = Entity(api=api, fields=inspectionMarkLocationValues, bundle_id='b4158ec3a326d8ab504062296a82f13a')
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api.save(inspectionMarkLocation)
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print(f'Created inspectionMarkLocation {index}: {inspectionMarkLocation.uri}')
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# Write log
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processedRows = processedRows._append({'id': row['id'], 'uuid': inspectionMarkLocationValues['f65178b07306225efb0b556f6e4f54a5'][0], 'uri': inspectionMarkLocation.uri}, ignore_index=True)
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processedRows.to_csv(f'./logs/processedInspectionMarkLocation.csv', index=False)
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print('finish')
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