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rnsrk 2025-09-09 10:16:31 +02:00
parent da296f8a64
commit e46a9fd4ec
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119
08_importInspectionMarkLocation.py
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@ -5,81 +5,66 @@ 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 importInspectionMarkLocation(api, engine):
print('Importing inspection mark locations...')
# Load the environment variables
load_dotenv()
tableName = 'c__67b0_bz_dok_nr'
bundleId = 'b4158ec3a326d8ab504062296a82f13a'
# 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/processedInspectionMarkLocation.csv')
except FileNotFoundError:
processedRows = pd.DataFrame(columns=['id', 'uuid', 'uri'])
# Load sources table
inspectionMarkLocationsTable = pd.read_sql_table(tableName, con=engine)
# Load sources table
inspectionMarkLocationsTable = pd.read_sql_table('c__67b0_bz_dok_nr', con=engine)
inspectionMarkLocationValues = {}
# Create inspectionMarkLocations
for index, row in inspectionMarkLocationsTable.iterrows():
# For every row in table...
if index < len(processedRows) and inspectionMarkLocationsTable.iloc[index, 0] == processedRows.iloc[index, 0]:
# skip if already processed
print(f'Skipping already processed inspectionMarkLocation {inspectionMarkLocationsTable.iloc[index, 0]}')
continue
# Create Entity property dicts
inspectionMarkLocationValues = {}
for key, value in row.items():
# For every column in row...
if (value is None) or (value == ''):
# skip if cell has no value
# Create inspectionMarkLocations
for index, row in inspectionMarkLocationsTable.iterrows():
# For every row in table...
if index < len(processedRows) and inspectionMarkLocationsTable.loc[index, 'id'] == processedRows.loc[index, 'id']:
# skip if already processed
print(f'Skipping already processed inspectionMarkLocation {inspectionMarkLocationsTable.loc[index, "id"]}')
continue
# Properties of an entity have to be an array, so...
if '###{' in str(value):
print('replaced curly braces')
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':
# Create Entity property dicts
inspectionMarkLocationValues = {}
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':
inspectionMarkLocationValues['f65178b07306225efb0b556f6e4f54a5'] = value # UUID
case 'f__67b0_bz_dok_nr':
inspectionMarkLocationValues['f2d0b120ed40e17a5ad3f31d594d9b1c'] = value # Inspection Mark Identifier
case 'f__67b4_anbr_ort':
inspectionMarkLocationValues['f8a6343c2a8a5523eb2f0602f2baae04'] = value # Location
# 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':
inspectionMarkLocationValues['f65178b07306225efb0b556f6e4f54a5'] = value # UUID
case 'f__67b0_bz_dok_nr':
inspectionMarkLocationValues['f2d0b120ed40e17a5ad3f31d594d9b1c'] = value # Inspection Mark Identifier
case 'f__67b4_anbr_ort':
inspectionMarkLocationValues['f8a6343c2a8a5523eb2f0602f2baae04'] = value # Location
case _:
print(f'{key} is not a valid field, skipping.')
case _:
print(f'{key} is not a valid field, skipping.')
# Create Material
inspectionMarkLocation = Entity(api=api, fields=inspectionMarkLocationValues, bundle_id='b4158ec3a326d8ab504062296a82f13a')
api.save(inspectionMarkLocation)
# Create Material
inspectionMarkLocation = Entity(api=api, fields=inspectionMarkLocationValues, bundle_id=bundleId)
api.save(inspectionMarkLocation)
print(f'Created inspectionMarkLocation {index}: {inspectionMarkLocation.uri}')
print(f'Created inspectionMarkLocation {index}: {inspectionMarkLocation.uri}')
# Write log
processedRows = processedRows._append({'id': row['id'], 'uuid': inspectionMarkLocationValues['f65178b07306225efb0b556f6e4f54a5'][0], 'uri': inspectionMarkLocation.uri}, ignore_index=True)
processedRows.to_csv(f'./logs/processedInspectionMarkLocation.csv', index=False)
# Write log
processedRows = processedRows._append({'id': row['id'], 'uuid': inspectionMarkLocationValues['f65178b07306225efb0b556f6e4f54a5'][0], 'uri': inspectionMarkLocation.uri}, ignore_index=True)
processedRows.to_csv(f'./logs/{tableName}.csv', index=False)
print('finish')
print('finished importing inspection mark locations')