I'm trying to parse the following feed into ElementTree in python: "http://smarkets.s3.amazonaws.com/oddsfeed.xml" (warning large file)
Here is what I have tried so far:
feed = urllib.urlopen("http://smarkets.s3.amazonaws.com/oddsfeed.xml")
# feed is compressed
compressed_data = feed.read()
import StringIO
compressedstream = StringIO.StringIO(compressed_data)
import gzip
gzipper = gzip.GzipFile(fileobj=compressedstream)
data = gzipper.read()
# Parse XML
tree = ET.parse(data)
but it seems to just hang on compressed_data = feed.read(), infinitely maybe?? (I know it's a big file, but seems too long compared to other non-compressed feeds I parsed, and this large is killing any bandwidth gains from the gzip compression in the first place).
Next I tried requests, with
url = "http://smarkets.s3.amazonaws.com/oddsfeed.xml"
headers = {'accept-encoding': 'gzip, deflate'}
r = requests.get(url, headers=headers, stream=True)
but now
tree=ET.parse(r.content)
or
tree=ET.parse(r.text)
but these raise exceptions.
What's the proper way to do this?
You can pass the value returned by urlopen() directly to GzipFile() and in turn you can pass it to ElementTree methods such as iterparse():
#!/usr/bin/env python3
import xml.etree.ElementTree as etree
from gzip import GzipFile
from urllib.request import urlopen, Request
with urlopen(Request("http://smarkets.s3.amazonaws.com/oddsfeed.xml",
headers={"Accept-Encoding": "gzip"})) as response, \
GzipFile(fileobj=response) as xml_file:
for elem in getelements(xml_file, 'interesting_tag'):
process(elem)
where getelements() allows to parse files that do not fit in memory.
def getelements(filename_or_file, tag):
"""Yield *tag* elements from *filename_or_file* xml incrementaly."""
context = iter(etree.iterparse(filename_or_file, events=('start', 'end')))
_, root = next(context) # get root element
for event, elem in context:
if event == 'end' and elem.tag == tag:
yield elem
root.clear() # free memory
To preserve memory, the constructed xml tree is cleared on each tag element.
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