Does python urllib2 automatically uncompress gzip data fetched from webpage?

user_446929 0
Viewed 35195

I'm using 

 data=urllib2.urlopen(url).read()

I want to know:

  1. How can I tell if the data at a URL is gzipped?

  2. Does urllib2 automatically uncompress the data if it is gzipped? Will the data always be a string?

gzip urllib2 python
4 Answers

It appears urllib3 handles this automatically now.

Reference headers:

HTTPHeaderDict({'ETag': '"112d13e-574c64196bcd9-gzip"', 'Vary': 'Accept-Encoding', 'Content-Encoding': 'gzip', 'X-Frame-Options': 'sameorigin', 'Server': 'Apache', 'Last-Modified': 'Sat, 01 Sep 2018 02:42:16 GMT', 'X-Content-Type-Options': 'nosniff', 'X-XSS-Protection': '1; mode=block', 'Content-Type': 'text/plain; charset=utf-8', 'Strict-Transport-Security': 'max-age=315360000; includeSubDomains', 'X-UA-Compatible': 'IE=edge', 'Date': 'Sat, 01 Sep 2018 14:20:16 GMT', 'Accept-Ranges': 'bytes', 'Transfer-Encoding': 'chunked'})

Reference code: 

import gzip
import io
import urllib3

class EDDBMultiDataFetcher():
    def __init__(self):
        self.files_dict = {
            'Populated Systems':'http://eddb.io/archive/v5/systems_populated.jsonl',
            'Stations':'http://eddb.io/archive/v5/stations.jsonl',
            'Minor factions':'http://eddb.io/archive/v5/factions.jsonl',
            'Commodities':'http://eddb.io/archive/v5/commodities.json'
            }
        self.http = urllib3.PoolManager()
    def fetch_all(self):
        for item, url in self.files_dict.items():
            self.fetch(item, url)

    def fetch(self, item, url, save_file = None):
        print("Fetching: " + item)
        request = self.http.request(
            'GET',
            url,
            headers={
                'Accept-encoding': 'gzip, deflate, sdch'
                })
        data = request.data.decode('utf-8')
        print("Fetch complete")
        print(data)
        print(request.headers)
        quit()


if __name__ == '__main__':
    print("Fetching files from eddb.io")
    fetcher = EDDBMultiDataFetcher()
    fetcher.fetch_all()
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