Advanced HARPage

HarPage includes a lot of helpful properties, but they are all easily produced using the public methods of HarParser and HarPage:

import json
from haralyzer import HarPage

with open('har_data.har', 'r') as f:
    har_page = HarPage('page_3', har_data=json.loads(f.read()))

### ACCESSING FILES ###

# You can get a JSON representation of all assets using HarPage.entries #
for entry in har_page.entries:
    if entry['startedDateTime'] == 'whatever I expect':
        ... do stuff ...

# It also has methods for filtering assets #
# Get a collection of entries that were images in the 2XX status code range #
entries = har_page.filter_entries(content_type='image.*', status_code='2.*')
# This method can filter by:
# * content_type ('application/json' for example)
# * status_code ('200' for example)
# * request_type ('GET' for example)
# * http_version ('HTTP/1.1' for example)
# * load_time__gt (Takes an int representing load time in milliseconds.
#   Entries with a load time greater than this will be included in the
#   results.)
# Parameters that accept a string use a regex by default, but you can also force a literal string match by passing regex=False

# Get the size of the collection we just made #
collection_size = har_page.get_total_size(entries)

# We can also access files by type with a property #
for js_file in har_page.js_files:
    ... do stuff ....

### GETTING LOAD TIMES ###

# Get the BROWSER load time for all images in the 2XX status code range #
load_time = har_page.get_load_time(content_type='image.*', status_code='2.*')

# Get the TOTAL load time for all images in the 2XX status code range #
load_time = har_page.get_load_time(content_type='image.*', status_code='2.*', asynchronous=False)

All of the HarPage methods above leverage stuff from the HarParser, some of which can be useful for more complex operations. They either operate on a single entry (from a HarPage) or a list of entries:

import json
from haralyzer import HarParser

with open('har_data.har', 'r') as f:
    har_parser = HarParser(json.loads(f.read()))

for page in har_parser.pages:
    for entry in page.entries:
        ### MATCH HEADERS ###
        if har_parser.match_headers(entry, 'Content-Type', 'image.*'):
            print 'This would appear to be an image'
        ### MATCH REQUEST TYPE ###
        if har_parser.match_request_type(entry, 'GET'):
            print 'This is a GET request'
        ### MATCH STATUS CODE ###
        if har_parser.match_status_code(entry, '2.*'):
            print 'Looks like all is well in the world'