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rnsrk 2025-09-09 10:16:31 +02:00
parent da296f8a64
commit e46a9fd4ec
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12_importBirth.py
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@ -5,94 +5,80 @@ 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 importBirth(api, engine):
print('Importing birth...')
# Load the environment variables
load_dotenv()
test = False
tableName = "c__3270_geb_datum"
bundleId = 'b54049ec931bffb62359b4bdb11435fc'
# 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'])
test = False
tableName = "c__3270_geb_datum"
bundleId = 'b54049ec931bffb62359b4bdb11435fc'
# Load sources table
sqlTable = pd.read_sql_table(tableName, con=engine)
try:
processedRows = pd.read_csv(f'./logs/processed-{tableName}.csv')
except FileNotFoundError:
processedRows = pd.DataFrame(columns=['docId', 'uuid', 'uri'])
# Load sources table
sqlTable = pd.read_sql_table(tableName, con=engine)
entityValues = {}
# Create entities
for index, row in sqlTable.iterrows():
# For every row in table...
if index < len(processedRows) and sqlTable.loc[index, 'id'] == processedRows.loc[index, 'docId']:
# skip if already processed
print(f'Skipping already processed entity {sqlTable.loc[index, 'id']}')
continue
# Create Entity property dicts
entityValues = {}
for key, value in row.items():
# For every column in row...
if (value is None) or (value == ''):
# skip if cell has no value
# Create entities
for index, row in sqlTable.iterrows():
# For every row in table...
if index < len(processedRows) and sqlTable.loc[index, 'id'] == processedRows.loc[index, 'id']:
# skip if already processed
print(f'Skipping already processed entity {sqlTable.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.
docId = ''
match key:
case 'id':
docId = value[0]
case 'f__uuid':
entityValues['ff2a4da76944f5aba7d625c169d9ff66'] = value # UUID
fUuid = value[0]
case 'f__3290_geb_ort':
entityValues['fe71d86a78289c0b54242f5a3b67f81f'] = value # Birth place
case 'f__3270_geb_datum':
entityValues['ff3a9f042976963ac356db02d764b002'] = value # Date
case 'f__32ls_lit__stelle':
entityValues['fa03638df8a53e9aae38471fe10f409a'] = value # Literature Reference
case 'f__32lt_lit__kurztitel':
entityValues['f1af25f1770bd0db1982780697600cf4'] = value # Literature short title
case 'f__32bm_bem_geburt':
entityValues['f572f5e0f02f1c9b7c3ece5ffcf86c43'] = value # Note
case 'f__32qs_quelle_stelle':
entityValues['f1ebceaa76bac9ebf266733f64caa37c'] = value # Source reference
case 'f__32qt_quelle_kurztitel':
entityValues['f1a3597a874b3df9c1d87c5a32b487b0'] = value # Source short title
case _:
print(f'{key} is not a valid field, skipping.')
# Create Entity property dicts
entityValues = {}
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.
docId = ''
match key:
case 'id':
docId = value[0]
case 'f__uuid':
entityValues['ff2a4da76944f5aba7d625c169d9ff66'] = value # UUID
fUuid = value[0]
case 'f__3290_geb_ort':
entityValues['fe71d86a78289c0b54242f5a3b67f81f'] = value # Birth place
case 'f__3270_geb_datum':
entityValues['ff3a9f042976963ac356db02d764b002'] = value # Date
case 'f__32ls_lit__stelle':
entityValues['fa03638df8a53e9aae38471fe10f409a'] = value # Literature Reference
case 'f__32lt_lit__kurztitel':
entityValues['f1af25f1770bd0db1982780697600cf4'] = value # Literature short title
case 'f__32bm_bem_geburt':
entityValues['f572f5e0f02f1c9b7c3ece5ffcf86c43'] = value # Note
case 'f__32qs_quelle_stelle':
entityValues['f1ebceaa76bac9ebf266733f64caa37c'] = value # Source reference
case 'f__32qt_quelle_kurztitel':
entityValues['f1a3597a874b3df9c1d87c5a32b487b0'] = value # Source short title
case _:
print(f'{key} is not a valid field, skipping.')
# Create Material
entity = Entity(api=api, fields=entityValues, bundle_id=bundleId)
api.save(entity)
# Create Material
entity = Entity(api=api, fields=entityValues, bundle_id=bundleId)
api.save(entity)
print(f'Created entity {index}: {entity.uri} of {len(sqlTable)}')
print(f'Created birth {index}: {entity.uri} of {len(sqlTable)}')
# Write log
processedRows = processedRows._append({'docId': docId, 'uuid': fUuid, 'uri': entity.uri}, ignore_index=True)
processedRows.to_csv(f'./logs/processed-{tableName}.csv', index=False)
if test:
exit()
# Write log
processedRows = processedRows._append({'id': row['id'], 'uuid': fUuid, 'uri': entity.uri}, ignore_index=True)
processedRows.to_csv(f'./logs/{tableName}.csv', index=False)
if test:
exit()
print('finish')
print('finished importing birth')