82 lines
3.7 KiB
Python
82 lines
3.7 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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def importMarkInformation(api, engine):
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print('Importing mark information...')
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tableName = "c__6760_markenart"
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bundleId = 'bc7ce6906f78e760f22ff13226b1332d' # Mark information assignment
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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', '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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# 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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# 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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continue
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case 'f__uuid':
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entityValues['f3b8aaf7e79229b4da8214d491e375ec'] = value # UUID
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fUuid = value[0]
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case 'f__5064_num__dat_':
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entityValues['fe6921098808e68cae68f0858411826c'] = value # Artist Assignment
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case 'f__6894_anbr_ort':
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entityValues['f694ed57271ab7be57249e0ee5c41ba4'] = value # Location
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case 'f__6700_mar_dok_nr_':
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entityValues['fdd3380d4a11654f32687429796cabc3'] = value # Mark Document Number
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case 'f__6760_markenart':
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entityValues['fd381aa9c3ebdf417e6cbccd60ede279'] = value # Mark Type
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case 'f__684c_bedeutung_bz':
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entityValues['f4947de52885f517baef0cdf3cb53b61'] = value # Meaning Inspection Mark
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case 'f__684a_bedeutung_mz':
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entityValues['f542c4c945725c6fdc5ab6409a877f02'] = value # Meaning Master Mark
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case 'f__6770_rosenb_nr_':
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entityValues['f0ff7020a9c25ea2706875837fe61b04'] = value # Rosenberg Number
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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 mark information {index}: {entity.uri} of {len(sqlTable)}')
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# Write log
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processedRows = processedRows._append({'id': row['id'], 'docId': docId, '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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print('finish')
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