* Implement local media finder and integrate into cast
* update to media source as a platform
* Tweak media source design
* fix websocket and local source
* fix websocket schema
* fix playing media
* Apply suggestions from code review
Co-authored-by: Martin Hjelmare <marhje52@gmail.com>
* Add resolve_media websocket
* Register that shit
* Square brackets
* Sign path
* add support for multiple media sources and address PR review
* fix lint
* fix tests from auto whitelisting config/media
* allow specifying a name on the media source
* add tests
* fix for python 3.7
* Apply suggestions from code review
Co-authored-by: Paulus Schoutsen <paulus@home-assistant.io>
* add http back to cast and remove guess_type from executor as there is no i/o
Co-authored-by: Paulus Schoutsen <balloob@gmail.com>
Co-authored-by: Martin Hjelmare <marhje52@gmail.com>
Co-authored-by: Paulus Schoutsen <paulus@home-assistant.io>
* add non-root container user
* fix dockerfile and homeassistant editable install
* just install in home directory
* less impactful default changes
* separate RUN for better layer caching
* use vscode-remote base image
* fallback to device serial number if no mac available
* make password optional to fix#35904
* update tests to reflect new flow
* fix snake case and AsyncMock
* add comments around why weird things are being done
* fallback to device serial number if no mac available
* make password optional to fix#35904
* update tests to reflect new flow
* fix snake case and AsyncMock
* add comments around why weird things are being done
* allow lib to create AsyncTransport
* fix transport close issue
* fix zoom only cameras without PTZ presets
* catch profiles without encoding configuration
* also catch ServerDisconnectedError for ptz
* allow lib to create AsyncTransport
* fix transport close issue
* fix zoom only cameras without PTZ presets
* catch profiles without encoding configuration
* also catch ServerDisconnectedError for ptz
## Description:
For RTSP streams, set the `prefer_tcp` FFMPEG flag. This should resolve some of the "green feed" issues that some users are reporting, likely due to packets being lost over UDP on their network.
Resources: [FFMPEG protocols documentation](https://ffmpeg.org/ffmpeg-protocols.html#rtsp)
## Checklist:
- [x] The code change is tested and works locally.
- [x] Local tests pass with `tox`. **Your PR cannot be merged unless tests pass**
- [x] There is no commented out code in this PR.
* initial commit for camera preferences and preload stream
* cleanup and add tests
* respect camera preferences on each request stream call
* return the new prefs after update
## Description:
For RTSP streams, set the `prefer_tcp` FFMPEG flag. This should resolve some of the "green feed" issues that some users are reporting, likely due to packets being lost over UDP on their network.
Resources: [FFMPEG protocols documentation](https://ffmpeg.org/ffmpeg-protocols.html#rtsp)
## Checklist:
- [x] The code change is tested and works locally.
- [x] Local tests pass with `tox`. **Your PR cannot be merged unless tests pass**
- [x] There is no commented out code in this PR.
* initial commit of streams
* refactor stream component
* refactor so stream formats are not considered a platform
* initial test and minor refactor
* fix linting
* update requirements
* need av in tests as well
* fix import in class def vs method
* fix travis and docker builds
* address code review comments
* fix logger, add stream start/stop logs, listen to HASS stop
* address additional code review comments
* beef up tests
* fix tests
* fix lint
* add stream_source to onvif camera
* address pr comments
* add keepalive to camera play_stream service
* remove keepalive and move import
* implement registry and have output provider remove itself from stream after idle, set libav log level to error
* Add new events for automation trigger and script run, fix context for image processing, add tests to ensure same context
* remove custom logbook entry for automation and add new automation event to logbook
* code review updates
* initial tensorflow image_processing component
* linting fixes
* make displayed attribute a summary of objects
* fix missed merge conflict and add warning supression back in for CPU type
* restructure tensorflow component to install on the fly, remove from Docker
* add both matches and summary as attributes
* address review comments
* do not use deps folder as default, as it should only be managed by HA. Update to have tensorflow in root config directory
Jason HunterandGitHub
