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Automatically delete the temp file on startup, change the pattern

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The pattern or the pattern.sub is not correct and will not always match entire column
This works fine for most items, but school districts are noted for cropping this error up
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David Todd 2016-04-26 16:41:10 -05:00
parent 7d992b8866
commit 65cdaf28d2
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GPG Key ID: 48E847F18074C953
2 changed files with 6 additions and 4 deletions
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2
README.md
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@ -1,7 +1,7 @@
ERP Contact Import Tool
=======================
This utility fixes the contacts csv file for importing into our ERP (Odoo)
This utility fixes the contacts csv file for importing into our ERP (Odoo)
Specifically this utility will replace all the values in a csv column with a dictionary created through another csv file
Copyright (c) 2016 David Todd (alopexc0de) https://c0defox.es

8
main.py
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@ -48,6 +48,7 @@ def find_index(row=None, col=None):
return index
os.rename(config['import_path'], config['import_path']+'.orig') # Store the original import_path in a backup file
os.remove(config['temp_path']) # Delete the temp file if it exists for some reason
with open(config['partner_path'], 'r') as partner_csv:
reader = csv.reader(partner_csv)
@ -67,10 +68,10 @@ with open(config['partner_path'], 'r') as partner_csv:
partner_ids = {rows[name]:rows[id] for rows in reader} # Build a dict containing the company names as the keys and the __export__IDs as values
reader = None
# Open both the import_csv and temp_csv files
# Open both the import_csv (read-only) and temp_csv (write-only) files
with open(config['import_path']+'.orig', 'r') as import_csv, open(config['temp_path'], 'w') as temp_csv:
reader = csv.reader(import_csv)
writer = csv.writer(temp_csv, lineterminator='\n')
writer = csv.writer(temp_csv, lineterminator='\n')
first_row = next(reader)
if config['column_to_change'] not in first_row:
@ -83,7 +84,8 @@ with open(config['partner_path'], 'r') as partner_csv:
writer.writerow(first_row)
for lines in reader:
# Taken from http://stackoverflow.com/a/2400577/5727514 and modified to support what I need
pattern = re.compile('|'.join(partner_ids.keys()))
pattern = re.compile(r'\b(' + '|'.join(partner_ids.keys()) + r')\b')
#pattern = re.compile('|'.join(partner_ids.keys()))
lines[col] = pattern.sub(lambda x: partner_ids[x.group()], lines[col])
writer.writerow(lines)