84 lines
3.4 KiB
Python
84 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/processedInspectionMarkRelation.csv')
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except FileNotFoundError:
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processedRows = pd.DataFrame(columns=[ 'uuid', 'uri'])
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# Load sources table
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inspectionMarkRelationsTable = pd.read_sql_table('c__67b7_beziehung', con=engine)
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inspectionMarkRelationValues = {}
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# Create inspectionMarkRelations
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for index, row in inspectionMarkRelationsTable.iterrows():
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# For every row in table...
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if index < len(processedRows) and inspectionMarkRelationsTable.iloc[index, 0] == processedRows.iloc[index, 0]:
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# skip if already processed
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print(f'Skipping already processed inspectionMarkRelation {inspectionMarkRelationsTable.iloc[index, 0]}')
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continue
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# Create Entity property dicts
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inspectionMarkRelationValues = {}
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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 '###{{new_line}}###' 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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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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inspectionMarkRelationValues['ffd502413c286815811ae5546f73935b'] = value # UUID
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case 'f__67b8_bez_bz_nr':
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inspectionMarkRelationValues['ff3f6dd331ed27515f6721ac8312706c'] = value # Inspection Mark Identifier
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case 'f__67b7_beziehung':
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inspectionMarkRelationValues['f1cb8db7e1c26a5b5fe0c9d8fca60de2'] = value # Relation
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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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inspectionMarkRelation = Entity(api=api, fields=inspectionMarkRelationValues, bundle_id='bd9b0ff8dc3a6d9284e1798531389bf1')
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api.save(inspectionMarkRelation)
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print(f'Created inspectionMarkRelation {index}: {inspectionMarkRelation.uri}')
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# Write log
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processedRows = processedRows._append({'uuid': inspectionMarkRelationValues['ffd502413c286815811ae5546f73935b'][0], 'uri': inspectionMarkRelation.uri}, ignore_index=True)
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processedRows.to_csv(f'./logs/processedInspectionMarkRelation.csv', index=False)
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print('finish')
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