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import requests
import re
import xml.etree.ElementTree as Et
import io
from odoo.exceptions import UserError
def get_data(self, tvals):
# Check if Tally URL is configured
if not self.env.company.tally_url:
raise UserError(_('Please Configure the Tally URL'))
# Send POST request to Tally URL
try:
req = requests.post(url=self.env.company.tally_url, data=tvals)
except requests.exceptions.RequestException as e:
raise UserError(_("Error while connecting to Tally: %s" % str(e)))
# Ensure the response is valid
if req.status_code != 200:
raise UserError(_('Error: Received status code %s from Tally') % req.status_code)
# Remove non-printable characters from response
xml_content_clean = re.sub(r'[\x00-\x08\x0B-\x0C\x0E-\x1F]', '', req.text)
# Further clean-up of XML content
xml_tags = xml_content_clean.replace('', '').replace(''', 'quoteee').replace('&', 'andand').replace('|', '')
# Log XML content size for debugging
print(f"XML content size: {len(xml_tags)}")
# Stream XML parsing to prevent memory overload
try:
# Create a StringIO object from the cleaned XML string
xml_stream = io.StringIO(xml_tags.strip())
# Use iterparse to process the XML in chunks
context = Et.iterparse(xml_stream, events=("start", "end"))
for event, elem in context:
# Process each element
print(f"Processing element: {elem.tag}")
# Once done with the element, clear it to free memory
elem.clear()
except Et.ParseError as e:
raise UserError(_('XML Parsing Error: %s') % str(e))
except MemoryError:
raise UserError(_('Memory Error: Unable to process large XML response'))
return True
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