83 lines
3 KiB
Python
83 lines
3 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('relations')
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tableName = "r__obj__67b0_bz_dok_nr"
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bundleId = 'b7fe64e0326c107a1a4a705be08392fa' # Artifact to inspection mark location relation
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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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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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# ...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__obj__uuid':
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entityValues['f7ed714f705f51f4893427c7ba14dae8'] = value # Artifact UUID
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fUuid = value[0]
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case 'f__67b0_bz_dok_nr__uuid':
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entityValues['f7a330c34474ecf06737a334dd754e8b'] = value # Inspection Mark location assignment
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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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print(f'Created entity {index}: {entity.uri} of {len(sqlTable)}')
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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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print('finish')
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