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bd60a20bd3
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.
14 lines
392 B
TOML
14 lines
392 B
TOML
[package]
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name = "enso-profiler"
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version = "0.1.0"
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edition = "2021"
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authors = ["Enso Team <contact@enso.org>"]
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[dependencies]
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futures = "0.3"
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serde = { version = "1.0", features = ["derive"] }
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serde_json = { version = "1.0.59", features = ["raw_value"] }
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wasm-bindgen = { version = "0.2.78", features = ["nightly"] }
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enso-profiler-macros = { path = "macros" }
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enso-web = { path = "../web" }
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