When running the profiling run-graph and flamegraph demo scenes, if a profile file is not found in the directory served over http, fall back to generating demo data.
This PR disables the wasm-opt optimization in the crates that can be used as WASM entry points. Unfortunately, wasm-pack does not allow for disabling wasm-opt through a command line flag, so we have to disable it by setting an appropriate flag in each Cargo.toml.
Define some workflows for batch-mode profiling.
Implemented:
- collapse nodes
- create node
- enter collapsed node
- new project
- open visualization
They can currently be built and run with a command like:
`./run.sh ide build --profiling-level=debug && dist/ide/linux-unpacked/enso --entry-point profile --workflow create_node --save-profile out.json`
And the data can be displayed with:
`dist/ide/linux-unpacked/enso --entry-point profiling_run_graph --load-profile out.json`
Demo of recording and viewing a profile with a command-line one-liner:
https://user-images.githubusercontent.com/1047859/169954795-2d9520ca-84f9-45d2-b83a-5063ebe6f718.mp4
See: https://www.pivotaltracker.com/story/show/182195399.
# Important Notes
- When defining workflows, two helpers are enough to allow us to tell when the action is really done: `Fixture::compile_new_shaders`, and `Fixture::backend_execution`. Often, it is appropriate to await both, but it depends on the task.
- The shader compiler is now driven by a `Controller`; while the `Compiler` is reset if context is lost, the `Controller`'s state survives context loss.
- A new `--load-profile` option supports specifying a profile by path when running `profiling_run_graph`.
- Drop the `with_same_start` profiler interface; we ended up preferring a child profiler convention, and this interface was not implemented compatibly with the stricter data model we've had since the introduction of `profiler::data`.
- Fix the noisy `rustfmt` output.
* Extends the instrumentation of the code base and upgrades some FRPs to the newer API macro.
* Extends the run-graph demo scene to specify a profile via URL without recompilation.
* Fixes labels in the flame graph demo scene.
* Fixes an issue with loading profiles that contains escaped characters.
# Important Notes
* no longer contains the upgrade of the `text::View` to `define_endpoints_2`. This should be fixed as part of the text rendering rewrite.
[ci no changelog needed]
* Extends the instrumentation of the code base and upgrades some FRPs to the newer API macro.
* Extends the run-graph demo scene to specify a profile via URL without recompilation.
* Fixes labels in the flame graph demo scene.
* Fixes an issue with loading profiles that contains escaped characters.
# Important Notes
[ci no changelog needed]
* New JSON profile format.
* Use string-table optimization for labels in JSON format.
* Use TimeOffset header to render beanpoles
* Log RPC messages sent to the backend.
* Display RPC requests on graph
* Simplify metadata-logging interface.
Implements a visualization that is integrated with our GUI profiling visualization for the multiprocess data implemented in #3395https://user-images.githubusercontent.com/1428930/165915395-c850c7b2-1cc5-4eb0-8f21-37565d113b1e.mp4
The visualization shows a horizontal line for Engine, Language Server and GUI and renders arrows for each message passed between them. Information about the message is revealed on hover.
# Important Notes
* this PR refactors the tooltip mechanism. Note that this has not been in active use anywhere else, as tooltips for node received a custom implementation and the tooltip that was previously implemented was used nowhere else yet.
[ci no changelog needed]
[ci no changelog needed]
This is fixed copy of already reviewed #3384
[Task link](https://www.pivotaltracker.com/story/show/181413200)
This PR implements content clipping for the ScrollArea component.
List of changes:
- Implemented `InstanceWithAttachedLayer` abstraction that allows creating additional sublayers for our components. In the future, this abstraction can be used for text rendering as well (right now text rendering requires additional hardcoded layers).
- Fixed `complex-shape-system` demo scene by removing `node_searcher_mask` layer.
- Fixed `SublayersModel::remove` - it was not clearing the `layer_placement` hashmap.
- Implemented disabling the wheel scrolling in `Navigator`, and refactored it to reduce the number of functions arguments by introducing a `NavigatorSettings` struct.
Video (`scroll_area` demo):
https://user-images.githubusercontent.com/6566674/164506455-e177a7a7-9f1c-4f50-888f-112423cebbe4.mp4
# Important Notes
- `InstanceWithAttachedLayer` is implemented in such a way that it allows an extension in the future - namely to use it to simplify text rendering. The implementation might be simplified though.
[ci no changelog needed]
[Task link](https://www.pivotaltracker.com/story/show/181413200)
This PR implements content clipping for the ScrollArea component.
List of changes:
- Implemented `InstanceWithAttachedLayer` abstraction that allows creating additional sublayers for our components. In the future, this abstraction can be used for text rendering as well (right now text rendering requires additional hardcoded layers).
- Fixed `complex-shape-system` demo scene by fixing `node_searcher_mask` layer.
- Fixed `SublayersModel::remove` - it was not clearing the `layer_placement` hashmap.
- Implemented disabling the wheel scrolling in `Navigator`, and refactored it to reduce the number of functions arguments by introducing a `NavigatorSettings` struct.
Video (`scroll_area` demo):
https://user-images.githubusercontent.com/6566674/164506455-e177a7a7-9f1c-4f50-888f-112423cebbe4.mp4
# Important Notes
- `InstanceWithAttachedLayer` is implemented in such a way that it allows an extension in the future - namely to use it to simplify text rendering. The implementation might be simplified though.
See: [#181837344](https://www.pivotaltracker.com/story/show/181837344).
I've separated this PR from some deeper changes I'm making to the profile format, because the changeset was getting too complex. The new APIs and tools in this PR are fully-implemented, except the profile format is too simplistic--it doesn't currently support headers that are needed to determine the relative timings of events from different processes.
- Adds basic support for profile files containing data collected by multiple processes.
- Implements `api_events_to_profile`, a tool for converting backend message logs (#3392) to the `profiler` format so they can be merged with frontend profiles (currently they can be merged with `cat`, but the next PR will introduce a merge tool).
- Introduces `message_beanpoles`, a simple tool that diagrams timing relationships between frontend and backend messages.
### Important Notes
- All TODOs introduced here will be addressed in the next PR that defines the new format.
- Introduced a new crate, `enso_profiler_enso_data`, to be used by profile consumers that need to refer to Enso application datatypes to interpret metadata.
- Introduced a `ProfileBuilder` abstraction for writing the JSON profile format; partially decouples the runtime event log structures from the format definition.
- Introducing the conversion performed for `ProfilerBuilder` uncovered that the `.._with_same_start!` low-level `profiler` APIs don't currently work; they return `Started<_>` profilers, but that is inconsistent with the stricter data model that I introduced when I implemented `profiler_data`; they need to return profilers in a created, unstarted state. Low-level async profilers have not been a priority, but once #3382 merges we'll have a way to render their data, which will be really useful because async profilers capture *why* we're doing things. I'll bring up scheduling this in the next performance meeting.
Add logging of EnsoGL performance stats to the profiling framework. Also extends the visualization in the debug scene to show an overview of the performance stats. We now render a timeline of blocks that indicate by their colour the rough FPS range we are in:
https://user-images.githubusercontent.com/1428930/162433094-57fbb61a-b502-43bb-8815-b7fc992d3862.mp4
# Important Notes
[ci no changelog needed]
Needs to be merged after https://github.com/enso-org/enso/pull/3382 as it requires some changes about metadata logging from there. That is why this PR is currently still in draft mode and based on that branch.
* Profiling application details
Add enough profiling to account for every missed frame during startup.
See https://www.pivotaltracker.com/story/show/181499507
* Build ActiveInterval hierarchy in profiler_data
* update doctests / await_!
* docs/formatting/naming
* more graph modes
* increase WASM size
Due to new render-profile-flamegraph scene. We should remove these from the main release WASM blob one way or another.
* lint
* fix a test
* Organization (feedback)
* Add @wdanilo to Cargo.lock CODEOWNERS
As discussed after my previous PR got stuck waiting for Cargo.lock review.
* fix doctests
* Update docs. Removed a limitation.
Add an API to create a flame graph from profiling data. Also adds a demo scene showcasing the functionality that generates some profiling data by measuring dummy function calls and rendering a flame graph for the dummy data (see video for the result).
Not that the functionality is not yet exposed user-facing in the GUI itself, but only as API and demo scene, therefore [ci no changelog needed]
https://user-images.githubusercontent.com/1428930/155118977-ecac0628-777c-48bd-9aa7-30ee6aef1976.mp4
# Important Notes
* Change from the initial design: labels are shown on the flame graph instead of as a tooltip. This is because tooltips are currently only implemented in the graph editor and would require some additional refactoring (probably taking the better part of a day).
* re-instated the behaviour that logs are shown in the JS console if development mode is active.
