Claude
10dffb5d72
Replaces the generic type machinery around cloneEntryData with a concrete
clone per entry type, and fixes two review findings.
Types: ReferenceKeys / EntryOfType / ClonedReferenceFields /
UnclonedReferenceFields / AssertNever are gone. There are only four entry
types, so each gets its own small function listing every field explicitly -
the same pattern the create*Patch functions in this file already use. Adding
a field to an entry type still fails to compile until it is handled, but now
with a plain "property is missing" error rather than a constraint on never,
and the clone reads as the logic it is instead of type gymnastics. The
exhaustiveness guard in the switch is kept, so a new SupportedEntry member is
still named in a compile error.
Fixes, both from review:
- triggers were copied with slice(), which shares every Trigger object with
the source. A mutable transaction could edit a trigger of the cached
rundown before commit. Each trigger is now copied too, making the
structuredClone contract actually true - custom and entries were already
deep since their values are primitives.
- triggers and entries were normalised from undefined to [], so an entry
missing either field never compared equal to its own snapshot. That would
have the runtime re-broadcast and re-save the restore point on every tick.
An absent value is now left absent.
Tests: cloneEntryData is compared field-for-field against structuredClone for
all four entry types built from the real factories, plus aliasing coverage for
custom, triggers (array and elements), and group entries, the absent-value
regression, and the unknown-type throw. Each was confirmed to fail when the
corresponding fix is reverted.
The remaining review comment, about the missing default branch, was already
fixed in 4548798.
Download the latest release
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We do our best to have most topics covered by the documentation. However, if your question is not covered, you are welcome to fill in a bug report in an issue, ask a question in GitHub discussions or hop in the discord server for a chat.
Using Ontime?
Let us know! Ontime improves from the collaboration with its users. We would like to understand how you use Ontime and appreciate your feedback.
Ontime
Ontime is a browser-based application that manages event rundowns, scheduling, and cueing.
With Ontime, you can plan, track your schedule, manage automation and cross-department show information all in one place.
Ontime is made by entertainment and broadcast engineers and used by
- Conference organisers
- Touring shows and receiving venues
- Broadcasters and streamers
- Theatres and opera houses
- Houses of worship
Main features
- Multiplatform: Available as a Cloud service and for Windows, macOS, Linux, or self-hosted via Docker.
- In any device: Ontime is available to any device with a browser, eg: tablets, mobile phones, laptops, signage, media servers...
- Team Collaboration: Dedicated views for directors, operators, backstage, and signage.
- Real-Time Updates: Manage and communicate runtime delays effortlessly.
- Automatable: Ontime can be fully or partially controlled by an operator, or run standalone with the system clock
- Flexible Integrations: Use one of the APIs provided (OSC, HTTP, Websocket) or the available Companion module to integrate into your workflow (vMix, disguise, Qlab, OBS)
... and a lot more ...
For live environments
Ontime is designed for use in live environments.
This guides the application into being flexible and efficiently integrating into different workflows.
For teams
All information added in Ontime is shared with the production team and other software / hardware in your workflow.
Ontime also improves team collaboration with dedicated views for cuesheets and operators, and for public and production
signage.
Simple infrastructure
All the data is distributed over the network, making its distribution and infrastructure flexible and cheap.
With the availability of the docker image, you can also leverage IT infrastructure to make Ontime available online for
your team and clients.
Ontime is made by video engineers and entertainment technicians.
Using Ontime
Getting started
The easiest way to start with Ontime is by leveraging our Cloud service.
This will give you immediate access to running instances of Ontime which are available to share with anyone with an internet connection.
Alternatively, you can run Ontime locally for free by downloading the latest release for your platform or using the docker image, available at Docker Hub
Once installed and running, any device that shares the same network as Ontime will have access to Ontime.
More information is available in our docs
Continued development
Ontime is under active development. We continue adding and improving features in collaboration with users.
Have an idea? Reach out via email or open an issue
Issues
We use Github's issue tracking for bug reporting and feature requests.
Found a bug? Open an issue.
Contributing
Looking to contribute? All types of help are appreciated, from coding to testing and feature specification.
If you are a developer and would like to contribute with code, please open an issue to discuss before opening a Pull Request.
Information about the project setup can be found in the development documentation
Links
License
This project is licensed under the terms of the GNU GPL v3
Sponsor
You can help the development of this project or say thank you with a one time donation.
See the terms of donations.