Skip to main content

Screencasting library

Project description

Introduction

Castro is a library for recording automated screencasts via a simple API.

Here’s an example:

>>> from castro import Castro
>>> c = Castro()
>>> c.start()
>>> # Do something awesome!
>>> c.stop()

Install

1) Install and launch a vncserver. (Hint: Google it.)
2) $ [sudo] easy_install castro
3) There's no step 3!

Test

$ python -c "import castro; castro.test()"

Watch

Video stored in: <default_temp_dir>/castro-video.swf

Video player stored in: <default_temp_dir>/castro-video.html

Linux/OSX:

$ firefox /tmp/castro-video.html

License & Repository

Castro was created by Jason Huggins. It is licensed under the GPLv2, since it is a derivative work of pyvnc2swf, which is also licensed under the GPLv2.

Castro has a git respository at github.com.

Summary

Castro is a minor fork of pyvnc2swf, allowing one to use pyvnc2swf as a regular Python library, instead of a Tk GUI application or command line utility.

The specific improvement Castro brings to pyvnc2swf is the ability to start and stop recording programmatically via a simple Python API. Castro uses a file-based IPC to tell pyvnc2swf when to stop recording.

Ordinarily, pyvnc2swf’s command line utility, vnc2swf.py, expects users to stop recording by manually typing “Control-C”, sending a KeyboardInterrupt and allowing the process to exit cleanly. On Linux, emulating KeyboardInterrupt is simple enough to do by sending a SIGINT signal. But this does not work cross- platform, specifically on Windows. And a big reason for using pyvnc2swf is its ability to record vnc video on any platform from any platform.

Dependencies

  • Python - 2.5 or above

  • Pygame - 1.6 or above

  • Multiprocessing - 2.6.21 or above

  • Simplejson - 2.0.9 or above

  • PyYAML - 3.09 or above

    Non-python dependences (for cleaning/editing .flv videos):

  • flvtool2 (ruby gem)

  • ffmpeg

Changelog:

  • 1.0.4 - Added post-recording processing methods. (Depends on ffmpeg and flvtool2)

  • 1.0.3 - Switched from processing library to multiprocessing.

    Added support for changing recording framerate.

  • 1.0.2 - Made stop() block until the recording process is done

    Added support to use Castro in a with statement (e.g “with video(…):”)

  • 1.0.1 - Fixed default vnc password path

  • 1.0 - First Release

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

castro-1.0.4.tar.gz (46.2 kB view details)

Uploaded Source

Built Distribution

castro-1.0.4-py2.5.egg (126.2 kB view details)

Uploaded Source

File details

Details for the file castro-1.0.4.tar.gz.

File metadata

  • Download URL: castro-1.0.4.tar.gz
  • Upload date:
  • Size: 46.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for castro-1.0.4.tar.gz
Algorithm Hash digest
SHA256 b277adce34b721307fd286e698fa11edc7ac70812b721a59b8fef4ba8f1a7255
MD5 167835ee5cad40778340d8098f50bfa1
BLAKE2b-256 0c3e8175a413a2f50804800660896a7eabc60e2f2003c4b03facdb56e494182a

See more details on using hashes here.

File details

Details for the file castro-1.0.4-py2.5.egg.

File metadata

  • Download URL: castro-1.0.4-py2.5.egg
  • Upload date:
  • Size: 126.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for castro-1.0.4-py2.5.egg
Algorithm Hash digest
SHA256 9984e9d3a214bff69b16735a42f41956fccb954586f3fa3f106a0c3023866b0e
MD5 264fbc8f304cd0f3b28583460d3d589d
BLAKE2b-256 5a3f836ed3da8781a8bcd548802c08cb435030c4ebca75861bc9c00c51bf9fab

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page