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rnsrk 2025-09-09 10:16:31 +02:00
parent da296f8a64
commit e46a9fd4ec
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24_importArtistAssignment.py
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@ -5,79 +5,67 @@ import os # For environment variable loading
from dotenv import load_dotenv # For environment variable loading
import pandas as pd # For dataframe handling
# Initialize the database
print('Initializing the database...')
engine, metadata, Session = initDb(True, './schemas/')
if engine == False:
print('Database initialization failed.')
exit()
def importArtistAssignment(api, engine):
print('Importing artist assignment...')
# Load the environment variables
load_dotenv()
tableName = "c__ob30_bez_kuenstler"
bundleId = 'bc8826cc7d9c9373ce71cfc0251c2a4f'
# Initialize the WissKI API
print('Initializing the WissKI API...')
api_url = os.getenv('API_URL')
auth = (os.getenv('API_USERNAME'), os.getenv('API_PASSWORD'))
headers = {"Cache-Control": "no-cache"}
api = Api(api_url, auth, headers)
api.pathbuilder = api.get_pathbuilder('default')
try:
processedRows = pd.read_csv(f'./logs/{tableName}.csv')
except FileNotFoundError:
processedRows = pd.DataFrame(columns=['id', 'uuid', 'uri'])
try:
processedRows = pd.read_csv(f'./logs/processedArtistAssignment.csv')
except FileNotFoundError:
processedRows = pd.DataFrame(columns=['docId', 'uuid', 'uri'])
# Load sources table
artistRelationsTable = pd.read_sql_table(tableName, con=engine)
# Load sources table
artistRelationsTable = pd.read_sql_table('c__ob30_bez_kuenstler', con=engine)
artistRelationValues = {}
# Create artistRelations
for index, row in artistRelationsTable.iterrows():
# For every row in table...
if index < len(processedRows) and artistRelationsTable.loc[index, 'id'] == processedRows.loc[index, 'docId']:
# skip if already processed
print(f'Skipping already processed artistRelation {artistRelationsTable.loc[index, 'id']}')
continue
# Create Entity property dicts
for key, value in row.items():
print('value: ', value)
# For every column in row...
if (value is None) or (value == ''):
# skip if cell has no value
# Create artistRelations
for index, row in artistRelationsTable.iterrows():
# For every row in table...
if index < len(processedRows) and artistRelationsTable.loc[index, 'id'] == processedRows.loc[index, 'id']:
# skip if already processed
print(f'Skipping already processed artistAssignment {artistRelationsTable.loc[index, "id"]}')
continue
# Properties of an entity have to be an array, so...
if '&' in str(value):
# ...Explode "&"-separated values to array items
value = [x.strip() for x in str(value).split('&')]
else:
# ...Or parse to array
value = [value]
# Map columns to fields. We use assignments for reification.
match key:
case 'id':
docId = value[0]
case 'f__uuid':
artistRelationValues['fc150259d31fea8a3f992e7beb901fa4'] = value # UUID
case 'f__3100_name':
artistRelationValues['ff5bf58133f9351d03e2ee92b6f8bb7e'] = value # Artist Name
case 'f__3475_ber__funkt_':
artistRelationValues['fc0c7d8c6b736489210bc42ef0f1406a'] = value # Occupation
case 'f__ob30_bez_kuenstler':
artistRelationValues['f575d4f2c8ea5d37618cea708c2a7c5e'] = value # Relation
case _:
print(f'{key} is not a valid field, skipping.')
# Create Entity property dicts
artistRelationValues = {}
for key, value in row.items():
# For every column in row...
if (value is None) or (value == ''):
# skip if cell has no value
continue
# Properties of an entity have to be an array, so...
value = str(value).replace('&###{{new_line}}###'.format(), '&')
value = str(value).replace('###{{new_line}}###', '&')
value = str(value).replace(' & ', '&')
if '&' in str(value):
# ...Explode "&"-separated values to array items
value = [x.strip() for x in str(value).split('&')]
else:
# ...Or parse to array
value = [value]
# Map columns to fields. We use assignments for reification.
match key:
case 'id':
docId = value[0]
case 'f__uuid':
artistRelationValues['fc150259d31fea8a3f992e7beb901fa4'] = value # UUID
case 'f__3100_name':
artistRelationValues['ff5bf58133f9351d03e2ee92b6f8bb7e'] = value # Artist Name
case 'f__3475_ber__funkt_':
artistRelationValues['fc0c7d8c6b736489210bc42ef0f1406a'] = value # Occupation
case 'f__ob30_bez_kuenstler':
artistRelationValues['f575d4f2c8ea5d37618cea708c2a7c5e'] = value # Relation
case _:
print(f'{key} is not a valid field, skipping.')
artistRelation = Entity(api=api, fields=artistRelationValues, bundle_id='bc8826cc7d9c9373ce71cfc0251c2a4f')
api.save(artistRelation)
artistRelation = Entity(api=api, fields=artistRelationValues, bundle_id=bundleId)
api.save(artistRelation)
print(f'Created artistRelation {index}: {artistRelation.uri} of {len(artistRelationsTable)}')
print(f'Created artist assignment {index}: {artistRelation.uri} of {len(artistRelationsTable)}')
# Write log
processedRows = processedRows._append({'docId': docId, 'uuid': artistRelationValues['fc150259d31fea8a3f992e7beb901fa4'][0], 'uri': artistRelation.uri}, ignore_index=True)
processedRows.to_csv(f'./logs/processedArtistAssignment.csv', index=False)
# Write log
processedRows = processedRows._append({'id': row['id'], 'uuid': artistRelationValues['fc150259d31fea8a3f992e7beb901fa4'][0], 'uri': artistRelation.uri}, ignore_index=True)
processedRows.to_csv(f'./logs/{tableName}.csv', index=False)
print('finish')
print('finished importing artist assignment')