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b0c4b776b5
Our project model code is rather complicated -- the logic for lowering from `cargo metadata` to `CrateGraph` is fiddly and special-case. So far, we survived without testing this at all, but this increasingly seems like a poor option. So this PR introduces a simple tests just to detect the most obvious failures. The idea here is that, although we rely on external processes (cargo & rustc), we are actually using their stable interfaces, so we might just mock out the outputs. Long term, I would like to try to virtualize IO here, so as to do such mocking in a more principled way, but lets start simple. Should we forgo the mocking and just call `cargo metadata` directly perhaps? Touch question -- I personally feel that fast, in-process tests are more important in this case than any extra assurance we get from running the real thing. Super-long term, we would probably want to extend our heavy tests to cover more use-cases, but we should figure a way to do that without slowing the tests down for everyone. Perhaps we need two-tiered bors system, where we pull from `master` into `release` branch only when an additional set of tests passes?
28 lines
773 B
TOML
28 lines
773 B
TOML
[package]
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name = "project_model"
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version = "0.0.0"
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description = "TBD"
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license = "MIT OR Apache-2.0"
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edition = "2018"
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[lib]
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doctest = false
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[dependencies]
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log = "0.4.8"
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rustc-hash = "1.1.0"
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cargo_metadata = "0.14"
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semver = "1"
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serde = { version = "1.0.106", features = ["derive"] }
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serde_json = "1.0.48"
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anyhow = "1.0.26"
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expect-test = "1"
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la-arena = { version = "0.2.0", path = "../../lib/arena" }
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cfg = { path = "../cfg", version = "0.0.0" }
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base_db = { path = "../base_db", version = "0.0.0" }
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toolchain = { path = "../toolchain", version = "0.0.0" }
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proc_macro_api = { path = "../proc_macro_api", version = "0.0.0" }
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paths = { path = "../paths", version = "0.0.0" }
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stdx = { path = "../stdx", version = "0.0.0" }
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profile = { path = "../profile", version = "0.0.0" }
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