mirror of
https://github.com/ankitects/anki.git
synced 2025-09-18 14:02:21 -04:00
fc0035306c
With proper excludes set up, starting it outside of Bazel is similarly fast, and unit tests work correctly. It also makes initial Bazel startup faster, as the Rust sources no longer need to be fetched.
57 lines
1.7 KiB
Python
57 lines
1.7 KiB
Python
load("@bazel_skylib//:workspace.bzl", "bazel_skylib_workspace")
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load("@bazel_skylib//lib:versions.bzl", "versions")
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load("@rules_rust//rust:repositories.bzl", "rust_repositories")
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load("@ankidesktop//cargo:crates.bzl", "raze_fetch_remote_crates")
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load(":python.bzl", "setup_local_python")
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load("//proto:protobuf.bzl", "setup_protobuf_binary")
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load("//proto:format.bzl", "setup_clang_format")
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load("@build_bazel_rules_nodejs//:index.bzl", "node_repositories", "yarn_install")
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load("@io_bazel_rules_sass//:defs.bzl", "sass_repositories")
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load("@com_github_ali5h_rules_pip//:defs.bzl", "pip_import")
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load("//pip/pyqt5:defs.bzl", "install_pyqt5")
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load("@esbuild_toolchain//:esbuild_repo.bzl", "esbuild_dependencies")
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anki_version = "2.1.45"
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def setup_deps():
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bazel_skylib_workspace()
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versions.check(minimum_bazel_version = "3.7.0")
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rust_repositories(
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edition = "2018",
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include_rustc_srcs = False,
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)
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raze_fetch_remote_crates()
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setup_local_python(name = "python")
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setup_protobuf_binary(name = "com_google_protobuf")
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setup_clang_format(name = "clang_format")
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native.register_toolchains("@python//:python3_toolchain")
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pip_import(
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name = "py_deps",
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requirements = "@ankidesktop//pip:requirements.txt",
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python_runtime = "@python//:python",
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)
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install_pyqt5(
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name = "pyqt5",
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python_runtime = "@python//:python",
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)
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node_repositories(package_json = ["@ankidesktop//ts:package.json"])
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yarn_install(
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name = "npm",
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package_json = "@ankidesktop//ts:package.json",
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yarn_lock = "@ankidesktop//ts:yarn.lock",
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)
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sass_repositories()
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esbuild_dependencies()
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