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helper_fuctions.py
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helper_fuctions.py
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import datetime
# script timer
import time
from pathlib import Path
import gspread
import numpy as np
import pandas as pd
from oauth2client.service_account import ServiceAccountCredentials
from pymarc import Record, Field, XMLWriter
start_time = time.time()
dt_now = datetime.datetime.now().strftime('%Y%m%d')
INPUT_FILES_PATH = 'C:/Users/Yaelg/PycharmProjects/Aleph_custom4/input_files'
def fetch_gspread_id(colletion_id):
# use creds to create a client to interact with the Google Drive API
scope = ['https://www.googleapis.com/auth/spreadsheets', "https://www.googleapis.com/auth/drive.file",
"https://www.googleapis.com/auth/drive"]
try:
creds = ServiceAccountCredentials.from_json_keyfile_name('google_drive_api/client_secret.json', scope)
except OSError as e:
creds = ServiceAccountCredentials.from_json_keyfile_name(r'C:\Users\Yaelg\Google '
r'Drive\National_Library\Python\VC_Preprocessing'
r'\google_drive_api\client_secret.json', scope)
client = gspread.authorize(creds)
files = [file for file in client.list_spreadsheet_files() if colletion_id.lower() in file['name'].lower()
and 'final' in file['name'].lower()]
if len(files) == 0:
sys.stderr.write(f'no file for {colletion_id} found in google drive')
return ''
else:
print('')
for index, file in enumerate(files):
print(index, ':', file['name'])
file_index = input('which file of the following do you choose? type the index number ')
return colletion_id, client, files[int(file_index)]['id']
def create_xl_from_gspread(client, file_id):
spreadsheet = client.open_by_key(file_id)
try:
collection = spreadsheet.worksheet('קטלוג')
except:
worksheet_list = spreadsheet.worksheets()
print(f"no אוסף in worksheets. \n available sheets are:")
pprint.pprint(worksheet_list)
pass
dict_ds = collection.get_all_records(head=1)
df = pd.DataFrame(dict_ds)
return df
def create_import_table(df, collection_id):
lean_df = df.loc[:, ['סימול פרויקט', 'רמת תיאור', 'כותרת']].replace('', np.nan).dropna(axis=0, how='all')
lean_df.iloc[0] = [collection_id, 'אוסף', input('Write the name of the collection')]
print(Path(INPUT_FILES_PATH) / (collection_id + '_brief.xlsx'))
write_excel(lean_df.set_index('סימול פרויקט'), Path(INPUT_FILES_PATH) / (collection_id + '_brief.xlsx'))
def open_id_list():
while True:
file_name = input('please enter the name of the file that contains the list of identifiers:')
file_path = Path.cwd() / 'input_files' / (file_name)
if Path.exists(file_path):
collection = input('please enter the name of the collection:')
if len(collection) > 0:
break
else:
print("you did not enter a name")
else:
print("you did not enter a file name")
return file_path, collection
def find_nth(string, searchFor, n):
"""finds the n'th occurrence of a substring (searchFor) in a string.
Returns:
The position of the nth occurence of the substring in the given string.
"""
start = string.find(searchFor)
while start >= 0 and n > 1:
start = string.find(searchFor, start + len(searchFor))
n -= 1
return start
def write_excel(df, path, sheets='Sheet1'):
# Create a Pandas Excel writer using XlsxWriter as the engine.
"""
creates a excel file of a given dataframe
:param df: the dateframe or a list of dataframes to write to excel
:param path: the path name of the output file, or a list of sheets
:param sheets: can be a list of sheet or
:param
"""
writer = pd.ExcelWriter(path, engine='xlsxwriter')
# Convert the dataframe to an XlsxWriter Excel object.
if type(df) is list and type(sheets) is list:
i = 0
for frame in df:
frame.to_excel(writer, sheet_name=sheets[i])
i += 1
else:
df.to_excel(writer, sheet_name=sheets)
writer.close()
def create_LDR(row):
if row['351'] in ['פריט', 'תיק']:
return '00000npd#a22######a#4500'
else:
return '00000npc#a22######a#4500'
def fill_table(df, collect):
"""
:param df: original DataFrame
:type collect: object
"""
if "סימול/מספר מזהה" in list(df.columns.values):
df = df.set_index('סימול/מספר מזהה')
elif "סימול" in list(df.columns.values):
df = df.set_index('סימול')
rootid_finder = lambda x: x[:find_nth(x, '-', x.count('-'))]
df['Parent'] = ''
df.loc[df.index[1:], 'Parent'] = df.loc[df.index[1:], 'Parent'].apply(rootid_finder)
df = df.reset_index()
df['כותרת'] = df['כותרת'].replace(to_replace=[r"\\t|\\n|\\r", "\t|\n|\r"], value=["", ""])
df = df.rename(columns={'רמת תיאור': '351', 'סימול/מספר מזהה': '911', 'סימול': '911',
'כותרת': '24510', 'סימול פרויקט': '911'})
# Create different LDR depending on level of description
# 00000npd^a22^^^^^^a^4500 - for file and item level records
# 00000npc^a22^^^^^^^^4500 - for all other levels (the "c" is for "collection")
df['LDR'] = None
df['LDR'] = df.apply(create_LDR, axis=1)
df['008'] = '^k^^^^^^^^xx^^^^^^^^^^^^^^^^^^^^^^d'
df['911'] = df['911'].apply(lambda x: '$$a' + str(x) + '$$c' + str(collect))
df['041'] = '$$aheb'
df['351'] = df['351'].apply(lambda x: '$$c' + x)
df['24510'] = df['24510'].apply(lambda x: '$$a' + x)
df['906'] = '$$aVIS'
df['999_1'] = '$$aARCHIVE'
df['999_2'] = '$$bNOULI'
df['999_3'] = '$$bNOOCLC'
df['FMT'] = 'MX'
df['948'] = '$$aNNL'
df['5420'] = '$$lCopyright status not determined; ' + \
'Contract$$nNo copyright analysis' + \
'$$oNoam Solan by Yael Gherman {}$$qללא ניתוח מצב זכויות'.format(dt_now)
df['5061'] = '$$aLibrary premises only;$$bPermissions officer;$$eIsrael Copyright Act$$0000000008'
df['540'] = '$$aאיסור העתקה' + \
'$$uhttp://web.nli.org.il/sites/NLI/Hebrew/library/items-terms-of-use/Pages/nli-copying-prohibited.aspx'
ordered_col = ['911', '351', 'LDR', '008', '24510', '906', '041',
'999_1', '999_2', '999_3', 'FMT', '948', '5420', '5061', '540']
df = df[ordered_col]
# df = df.rename(columns={'999': '999##b'})
return df
def create_brief_MARC_XML(df, collectionID):
"""
:param df:
:return:
"""
output_file = Path.cwd() / 'output_files' / (collectionID + '_brief_' + dt_now + ".xml")
writer = XMLWriter(open(output_file, 'wb'))
# counter for records
count = 1
for index, row in df.iterrows():
# create a marc record instance
record = Record()
for col in df:
# if field is empty, skip
if str(row[col]) == '':
continue
# leader
elif col == 'LDR':
l = list(record.leader)
l[0:5] = '0000'
l[5] = 'n'
l[6] = 'p'
if row['351'] == 'File Record' or 'Item Record':
l[7] = 'c'
else:
l[7] = 'd'
l[9] = 'a' # flag saying this record is utf8
record.leader = "".join(l)
continue
# 008
elif col == '008':
field = Field(tag='008', data=row[col])
else:
# extract field name
field = col[:3]
# extract indicators
if col.find('_') == -1 and len(col) < 5:
ind = [' ', ' ']
elif col.find('_') == 3:
ind = [' ', ' ']
elif col.find('_') == 4:
ind = [col[3], ' ']
elif col.find('_') == 5:
ind = [' ', col[4]]
else:
ind = [col[3], col[4]]
subfields_data = list()
subfields_prep = list(filter(None, row[col].split('$$')))
for subfield in subfields_prep:
if subfield == '':
continue
subfields_data.append(subfield[0])
subfields_data.append(subfield[1:])
# record.add_field(
# Field(
# tag=field,
# indicators=ind,
# subfields=subfields_data))
print('field:', field)
print('subfields:', subfields_data)
record.add_field(
Field(
tag=field,
indicators=ind,
subfields=subfields_data))
writer.write(record)
# sys.stderr.write("Record: %s\n%s\n" % (count, str(record)))
# counter
count += 1
writer.close()
run_time = time.time() - start_time
return count, run_time