Collects responses from URLs with various User-Agents, recording the response

1. Make sure you have the prereqs on the machine (python, sqlite, et al)
2. Instantiate the sqlite db with some data: sqlite3 request-test.db < request-test.sql uatest.sql
3. That's it! (usually)

There is one request test at this time: uatest.py

The UA test has two modes:

1. running all untested UA/URL combos as found in the SQLite DB,
2. testing a specific URL with all known UAs

The test is invoked like: python uatest.py [--untested|http://example.com|https://example.com]

Data is stored in the 'requests' table and responses are saved in the ./saves directory.

Once the data is collected, you can perform analysis by connecting to the sqlite database on the command line (sqlite request-test.db) and reviewing the html files in the saves dir.

Here are some interesting queries you could perform:

• Find URLs that respond to different mobile User Agents inconsistently: select * from (select urlid, url, count(distinct redirect_chain) redir_count from (select r.id, r.request_made_on, h.url, h.urlid, r.ua_key, u.ua_val, u.form_factor, r.redirect_chain, r.response_body_sha256sum from requests r, user_agents u, urls h where u.ua_key = r.ua_key and h.urlid = r.urlid and u.form_factor = 'Mobile') group by urlid) where redir_count >= 2;

1. Review [CONTRIBUTING]
2. Fork this repo
3. Create your feature branch: git checkout -b my-new-feature
4. Commit your changes: git commit -am 'Add some feature'
5. Push to the branch: git push origin my-new-feature
6. Submit a pull request! If I don't respond quickly, send me a ping :)

This sample code is an official Google product and is licensed under the Apache 2 License.