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rnsrk 2025-09-09 10:16:31 +02:00
parent da296f8a64
commit e46a9fd4ec
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10_importMarkDatingInfo.py
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@ -5,80 +5,65 @@ 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 importMarkDatingInfo(api, engine):
print('Importing mark dating info...')
tableName = 'c__68dm_datierung_marke'
bundleId = 'b9cfb95e627e1710cf8d736d4ca5db64'
# Load the environment variables
load_dotenv()
try:
processedRows = pd.read_csv(f'./logs/{tableName}.csv')
except FileNotFoundError:
processedRows = pd.DataFrame(columns=['id', 'uuid', 'uri'])
# 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')
# Load sources table
datingInfosTable = pd.read_sql_table(tableName, con=engine)
try:
processedRows = pd.read_csv(f'./logs/processedDatingInfo.csv')
except FileNotFoundError:
processedRows = pd.DataFrame(columns=[ 'uuid', 'uri'])
# Load sources table
datingInfosTable = pd.read_sql_table('c__68dm_datierung_marke', con=engine)
datingInfoValues = {}
# Create datingInfos
for index, row in datingInfosTable.iterrows():
# For every row in table...
if index < len(processedRows) and datingInfosTable.iloc[index, 0] == processedRows.iloc[index, 0]:
# skip if already processed
print(f'Skipping already processed datingInfo {datingInfosTable.iloc[index, 0]}')
continue
# Create Entity property dicts
datingInfoValues = {}
for key, value in row.items():
# For every column in row...
if (value is None) or (value == ''):
# skip if cell has no value
# Create datingInfos
for index, row in datingInfosTable.iterrows():
# For every row in table...
if index < len(processedRows) and datingInfosTable.loc[index, 'id'] == processedRows.loc[index, 'id']:
# skip if already processed
print(f'Skipping already processed datingInfo {datingInfosTable.loc[index, "id"]}')
continue
# Properties of an entity have to be an array, so...
if '###{{new_line}}###' in str(value):
print('replaced curly braces')
value = str(value).replace('###{{new_line}}###', '')
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':
# Create Entity property dicts
datingInfoValues = {}
for key, value in row.items():
# For every column in row...
if (value is None) or (value == ''):
# skip if cell has no value
continue
case 'f__uuid':
datingInfoValues['f74baaf58e49393cc89d6616ee197901'] = value # UUID
case 'f__68dm_datierung_marke':
datingInfoValues['f0da3b36d16e16602bb550aff7d36297'] = value # Date
case 'f__68bm_bem_dat_marke':
datingInfoValues['fe7870b5a86040d81140bccb01697765'] = value # Note
# 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':
continue
case 'f__uuid':
datingInfoValues['f74baaf58e49393cc89d6616ee197901'] = value # UUID
case 'f__68dm_datierung_marke':
datingInfoValues['f0da3b36d16e16602bb550aff7d36297'] = value # Date
case 'f__68bm_bem_dat_marke':
datingInfoValues['fe7870b5a86040d81140bccb01697765'] = value # Note
case _:
print(f'{key} is not a valid field, skipping.')
case _:
print(f'{key} is not a valid field, skipping.')
# Create Material
datingInfo = Entity(api=api, fields=datingInfoValues, bundle_id='b9cfb95e627e1710cf8d736d4ca5db64') #Dating Information Assignment
api.save(datingInfo)
# Create Material
datingInfo = Entity(api=api, fields=datingInfoValues, bundle_id='b9cfb95e627e1710cf8d736d4ca5db64') #Dating Information Assignment
api.save(datingInfo)
print(f'Created datingInfo {index}: {datingInfo.uri} of {len(datingInfosTable)}')
print(f'Created mark dating info {index}: {datingInfo.uri} of {len(datingInfosTable)}')
# Write log
processedRows = processedRows._append({'uuid': datingInfoValues['f74baaf58e49393cc89d6616ee197901'][0], 'uri': datingInfo.uri}, ignore_index=True)
processedRows.to_csv(f'./logs/processedDatingInfo.csv', index=False)
# Write log
processedRows = processedRows._append({'id': row['id'], 'uuid': datingInfoValues['f74baaf58e49393cc89d6616ee197901'][0], 'uri': datingInfo.uri}, ignore_index=True)
processedRows.to_csv(f'./logs/{tableName}.csv', index=False)
print('finish')
print('finished importing mark dating info')