Claude
faca1a1c76
Cuts the risk surface of the run history feature while keeping what it delivers. Stability: - Sidecar writes were happening on every event stop, and each write serialised the project's entire history. That put work proportional to everything that ever ran onto the show critical path, growing without bound. Writes during a run are now coalesced, with immediate writes for anything a user did and a flush on finish, project change and shutdown. - The editor no longer carries any of this feature's code. The per event last run chip is gone, so RundownEventChip, RundownEventInner and useProjectRundowns are back to their previous state. Each rundown row had gained two extra query subscriptions, one of them polling. - closeRun is no longer called from runtime.service, so the timer path is untouched. Ending a run is now explicit, which also means a mid show stop and restart no longer splits one show across two runs. Discovery: - A run indicator in the editor overview appears only while a run is being recorded. It shows when recording started and carries the Finish action, then links to the report. One component with one subscription, rather than anything per row. Smaller: - report.parser drops from exhaustive validation of a file we write ourselves to a shallow shape check; the failure mode is unchanged. - getCombinedReport returns to its original shape, keeping only the snapshot read that report accuracy depends on. - Removes getLatestRun and GET /runs/latest, which only existed for the chip, and hand rolled refetches the api layer already covers. Production diff is down from ~1460 to ~1290 lines, and the four floating promises the previous revision introduced are gone. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_019nr3FbLbM8gB8Jm771YgTV
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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.