This PR implements HTML generation from documentation IR for all suggestion database entries and replaces the old documentation panel with a newer one.
Additional adjustments to the looks of the documentation would be applied separately in a future PR. This PR focuses on the fastest possible delivery of a usable documentation panel. We want to test it in real-world use cases and gather feedback for future improvements.
Documentation demo scene with mocked data:
https://user-images.githubusercontent.com/6566674/213436313-88753ed8-346f-423e-956e-7db39f5dc266.mp4
Component browser with actual engine-provided data:
https://user-images.githubusercontent.com/6566674/213436375-d0ec074b-f7a6-4deb-a7de-3adee999cc86.mp4
# Important Notes
- Fixed language protocol data structures.
- Scrolling to the selected method is also implemented here.
- Also, the selected item is highlighted with yellow.
- Only some pieces of information we have are displayed. For example, we don't display return types for methods or types of arguments.
- A bunch of code related to previous implementation is removed, but probably not all of it.
Logging: Replace tracing with an efficient logging implementation, with 0-runtime cost for disabled log levels. (https://www.pivotaltracker.com/story/show/183755412)
Profiling: Support submitting `profiler` events to the User Timing Web API, so that measurements can be viewed directly in the browser. (https://www.pivotaltracker.com/story/show/184003550)
# Important Notes
Logging interface:
- The macros (`warn!`, etc.) now take standard `format_args!` arguments (the tracing implementations accepted a broader syntax).
- Compile-time log levels can now be set through the CLI, like so:
`./run ide start --log-level=trace --uncollapsed-log-level=info`
Profiling:
- The hotkey Ctrl+Alt+Shift+P submits all `profiler` events logged since the application was loaded to the Web API, so that they can then be viewed with the browser's developer tools. Note that standard tools are not able to represent async task lifetimes or metadata; this is a convenient interface to a subset of `profiler` data.
- As an alternative interface, a runtime flag enables continuous measurement submission. In the browser it can be set through a URL parameter, like http://localhost:8080/?emit_user_timing_measurements=true. Note that this mode significantly impacts performance.
Implement a command that launches the application, runs a series of steps (a "workflow"), writes a profile to a file, and exits.
See: [#181775808](https://www.pivotaltracker.com/story/show/181775808)
# Important Notes
- The command to capture run and profile is used like: `./run profile --workflow=new_project --save-profile=out.json`. Defining some more workflows (collapse nodes, create node and edit value) comes next; they are implemented with the same infrastructure as the integration-tests.
- The `--save-profile` option can also be used when profiling interactively; when the option is provided, capturing a profile with the hotkey will write a file instead of dumping the data to the devtools console.
- If the IDE panics, the error message is now printed to the console that invoked the process, as well as the devtools console. (If a batch workflow fails, this allows us to see why.)
- New functionality (writing profile files, quitting on command, logging to console) relies on Electron APIs. These APIs are implemented in `index.js`, bridged to the render process in `preload.js`, and wrapped for use in Rust in a `debug_api` crate.
* The List View component was refactored: it allows for hiding the internal selection widget, and exposes information where the widget should be placed. This allows us to create selection widget in component list panel, so it can be animated between component groups and sections.
* Fixed some warnings when checking WASM code.
* Adjusted the style of Component Group View a little, so it better reflects the design doc. Still not ideal, because the list_view has some weird design regarding padding, but I don't want to stuck in some bigger refactoring.
I will add a video in a few minutes.
# Important Notes
https://user-images.githubusercontent.com/3919101/165507826-60329f9e-7de3-4eb2-9271-292e45568cb2.mov
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.
This change makes EnsoGL runtime stats be always collected, even when EnsoGL `Monitor` panel is not visible. Those stats are intended to be used in the future by a profiling framework.
**Performance impact:** Continuous collection of stats introduces an overhead of two Web Performance API `now()` calls in each frame of the main rendering loop, plus a small number of simple arithmetic calculations. This is assumed to be a negligible and acceptable overhead.
#### Visuals
A screenshot of the Monitor panel in full `ide` after applying the PR, taken in IDE built with `./run dist`:
<img width="991" alt="Screenshot 2022-02-14 at 16 11 42" src="https://user-images.githubusercontent.com/273837/153891378-8a2fb333-34ce-46ce-99df-7d796817310c.png">
A recording, also in IDE built with `./run dist`; note that FPS is impacted by the act of recording itself:
https://user-images.githubusercontent.com/273837/154104016-49a12e23-1210-4477-9743-ec1611e5b4ed.movhttps://www.pivotaltracker.com/story/show/181093601
# Important Notes
- Responsibility for controlling how `Stats` gathering and calculation is performed at various points in the main rendering loop was removed from `Monitor` - the `Monitor`'s purpose is only to display existing data, it should not influence how the data is collected.
- Two previously existing distinct `Monitor` structs were merged into one, to avoid confusion; after previous refactorings, the remaining `stats::Monitor` did not have much useful code anyway.
- In `stats` package, refactoring was done, to make `StatsData` a "dumb", data-only type, and to move the logic related to stats collection and frame tracking to other helper types.
[ci no changelog needed]
