Files
tuir/tests/cassettes/test_content_subreddit_multireddit.yaml
Michael Lazar a7b789bfd9 Squashed commit of the following:
Updated the supported python versions list.
    Fixed regression in displaying xposts. #173.
    Fixing a few style things.
    Added a more robust test for the tornado handler.
    Trying without pytest-cov
    Updated travis for coverage.
    Remove python 3.2 support because no unicode literals, following what praw supports.
    "Side effect is not iterable."
    Added requirements for travis.
    Renamed travis file correctly.
    Adding test configurations, got tox working.
    Adding vcr cassettes to the repo.
    Renamed requirements files.
    Split up tests and cleaned up test names.
    Tests done, still one failure.
    Treat cassettes as binary to prevent bad merging.
    Fixed a few broken tests.
    Added a timeout to notifications.
    Prepping subreddit page.
    Finished submission page tests.
    Working on submission tests.
    Fixed vcr matching on urls with params, started submission tests.
    Log cleanup.
    Still trying to fix a broken test.
    -Fixed a few pytest bugs and tweaked logging.
    Still working on subscription tests.
    Finished page tests, on to subscription page.
    Finished content tests and starting page tests.
    Added the test refresh-token file to gitignore.
    Moved functional test file out of the repository.
    Continuing work on subreddit content tests.
    Tests now match module names, cassettes are split into individual tests for faster loading.
    Linter fixes.
    Cleanup.
    Added support for nested loaders.
    Added pytest options, starting subreddit content tests.
    Back on track with loader, continuing content tests.
    Finishing submission content tests and discovered snag with loader exception handling.
    VCR up and running, continuing to implement content tests.
    Playing around with vcr.py
    Moved helper functions into terminal and new objects.py
    Fixed a few broken tests.
    Working on navigator tests.
    Reorganizing some things.
    Mocked webbrowser._tryorder for terminal test.
    Completed oauth tests.
    Progress on the oauth tests.
    Working on adding fake tornado request.
    Starting on OAuth tool tests.
    Finished curses helpers tests.
    Still working on curses helpers tests.
    Almost finished with tests on curses helpers.
    Adding tests and working on mocking stdscr.
    Starting to add tests for curses functions.
    Merge branch 'future_work' of https://github.com/michael-lazar/rtv into future_work
    Refactoring controller, still in progress.
    Renamed auth handler.
    Rename CursesHelper to CursesBase.
    Added temporary file with a possible template for func testing.
    Mixup between basename and dirname.
    Merge branch 'future_work' of https://github.com/michael-lazar/rtv into future_work
    py3 compatability for mock.
    Beginning to refactor the curses session.
    Started adding tests, improved unicode handling in the config.
    Cleanup, fixed a few typos.
    Major refactor, almost done!.
    Started a config class.
    Merge branch 'master' into future_work
    The editor now handles unicode characters in all situations.
    Fixed a few typos from previous commits.
    __main__.py formatting.
    Cleaned up history logic and moved to the config file.
2015-12-02 22:37:50 -08:00

568 lines
44 KiB
YAML

interactions:
- request:
body: null
headers:
Accept: ['*/*']
Accept-Encoding: ['gzip, deflate']
Connection: [keep-alive]
User-Agent: [rtv test suite PRAW/3.3.0 Python/3.4.0 b'Linux-3.13.0-24-generic-x86_64-with-Ubuntu-14.04-trusty']
method: GET
uri: https://api.reddit.com/r/python+linux/.json?limit=1024
response:
body:
string: !!binary |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headers:
CF-RAY: [24e567f7c9d60669-SJC]
Connection: [keep-alive]
Content-Encoding: [gzip]
Content-Length: ['28537']
Content-Type: [application/json; charset=UTF-8]
Date: ['Wed, 02 Dec 2015 07:44:22 GMT']
Server: [cloudflare-nginx]
Set-Cookie: ['__cfduid=d0550ee5a87863dc1a10e0f8979e182071449042261; expires=Thu,
01-Dec-16 07:44:21 GMT; path=/; domain=.reddit.com; HttpOnly']
Strict-Transport-Security: [max-age=15552000; includeSubDomains; preload]
Vary: [accept-encoding]
X-Moose: [majestic]
access-control-allow-origin: ['*']
access-control-expose-headers: ['X-Reddit-Tracking, X-Moose']
cache-control: ['max-age=0, must-revalidate']
x-content-type-options: [nosniff]
x-frame-options: [SAMEORIGIN]
x-reddit-tracking: ['https://pixel.redditmedia.com/pixel/of_destiny.png?v=H0HWQSiFoJkh3tOeOXSK7UwVX04aHyUzHsZP1ZjVw2j6e5F6XKWM3QO%2FCNEL%2B1n0XhTzPU23YLA%3D']
x-ua-compatible: [IE=edge]
x-xss-protection: [1; mode=block]
status: {code: 200, message: OK}
- request:
body: null
headers:
Accept: ['*/*']
Accept-Encoding: ['gzip, deflate']
Connection: [keep-alive]
Cookie: [__cfduid=d0550ee5a87863dc1a10e0f8979e182071449042261]
User-Agent: [rtv test suite PRAW/3.3.0 Python/3.4.0 b'Linux-3.13.0-24-generic-x86_64-with-Ubuntu-14.04-trusty']
method: GET
uri: https://api.reddit.com/r/a+b/.json?limit=1024
response:
body: {string: '{"error": 404}'}
headers:
CF-RAY: [24e568024a690669-SJC]
Connection: [keep-alive]
Content-Length: ['14']
Content-Type: [application/json; charset=UTF-8]
Date: ['Wed, 02 Dec 2015 07:44:23 GMT']
Server: [cloudflare-nginx]
Strict-Transport-Security: [max-age=15552000; includeSubDomains; preload]
X-Moose: [majestic]
access-control-allow-origin: ['*']
access-control-expose-headers: ['X-Reddit-Tracking, X-Moose']
cache-control: ['max-age=0, must-revalidate']
x-content-type-options: [nosniff]
x-frame-options: [SAMEORIGIN]
x-reddit-tracking: ['https://pixel.redditmedia.com/pixel/of_destiny.png?v=ULKY%2F6vNuEtLn981hC1I4%2BUyQS3mH%2BNOiUBWiKMscP3Skg968mr%2Bbo2v0FeOuh75xsBg1Z0rmvY%3D']
x-ua-compatible: [IE=edge]
x-xss-protection: [1; mode=block]
status: {code: 404, message: Not Found}
version: 1