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885af949cb
Replaces 14 CI workflows with a single ci-orchestrator.yml that runs jobs in a 4-tier waterfall. Tiers gate each other sequentially: if formatting fails in 2 minutes, nothing else runs. Every job carried over from the old workflows was optimized along the way. Jobs use native container: blocks instead of the old addnab/docker-run-action wrapper, cache scopes were split and tuned (hit rates went from ~48% to 99%+), SITL tests run at 20x speed on 8cpu runners, clang-tidy got a dedicated 16cpu runner and cache, the failsafe sim caches its emsdk, and flash analysis posts sticky PR comments. Forks can use this without AWS infrastructure. Copy .github/ci-config.yml.example to .github/ci-config.yml to customize runner labels, job toggles, and cache sizes. Alternatively, rename .github/workflows/ci-simple.yml.example to ci-simple.yml for a single-job workflow that finishes in under 15 minutes on ubuntu-latest. Signed-off-by: Ramon Roche <mrpollo@gmail.com>
68 lines
3.3 KiB
Plaintext
68 lines
3.3 KiB
Plaintext
# PX4 CI Configuration for Forks
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# Copy to .github/ci-config.yml and customize.
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# All settings are optional — omit any key to use the upstream default.
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#
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# This example is tuned for GitHub-hosted runners.
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# The upstream PX4 repo uses RunsOn/AWS for all jobs.
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# Infrastructure hint — set to true when running on GitHub-hosted runners.
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# The upstream PX4 repo uses RunsOn/AWS (is_gha: false by default).
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# Jobs may use this flag to skip steps that require RunsOn-specific
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# infrastructure (e.g. S3 cache access, spot instance features).
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# No job behavior is gated on this today — it is wired for future use.
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is_gha: true
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# Runner labels — one label per size tier.
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# For GitHub-hosted runners, all tiers can point to ubuntu-latest.
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# For self-hosted runners, map each tier to the appropriate pool.
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runners:
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small: '["ubuntu-latest"]'
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medium: '["ubuntu-latest"]'
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large: '["ubuntu-latest"]'
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utility: '["ubuntu-latest"]'
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# Job toggles — enable only what your fork needs.
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# Jobs marked false below are upstream-specific (hardware boards,
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# platform-specific builds) and rarely useful for feature forks.
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jobs:
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# T1 — gate checks (disable only if you have a very good reason)
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gate_checks: true # format, newlines, module config validation
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shellcheck: true # shell script linting
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mavsdk_checks: true # mypy + flake8 on MAVSDK Python scripts
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# T2 — core checks (recommended for all forks)
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sitl_build: true
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clang_tidy: true
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# T2 — upstream-specific, disable for most forks
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gazebo_classic_build: false # only needed if running sitl_tests/mavros_tests
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ubuntu_builds: false # verifies clean builds on bare Ubuntu images
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macos_build: false # macOS platform verification
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itcm_check: false # NuttX board ITCM placement, board-specific
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flash_analysis: false # binary size diffing against PR base, repo-specific
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failsafe_sim: false # Emscripten web simulation build
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# T3 — integration tests (expensive, disable unless you need them)
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sitl_tests: false # requires gazebo_classic_build
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ros_integration: false # requires Galactic ROS container
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mavros_tests: false # requires gazebo_classic_build
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ros_translation_node: true # lightweight, runs on standard ROS images
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# Cache sizes — adjust if you hit your cache storage limit.
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# GitHub-hosted runners share a 10 GB per-repo native cache.
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# With the job set above (~60% of jobs disabled), total warm footprint
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# is roughly 15-20% of the 10 GB limit per concurrent PR.
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# If you re-enable more jobs, total footprint scales up proportionally.
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# Raise your repo's cache limit if needed:
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# Settings → Actions → Caches (up to 10 TB configurable)
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cache:
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sitl: 300M # ~94% fill at current default — do not lower
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sitl_gazebo_classic: 350M # only relevant if gazebo_classic_build: true
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clang_tidy: 150M # ~40% fill, sized with headroom
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ubuntu_builds: 200M # only relevant if ubuntu_builds: true
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macos: 200M # only relevant if macos_build: true
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itcm: 200M # only relevant if itcm_check: true, growing
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flash: 200M # only relevant if flash_analysis: true
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ros_integration: 400M # ~70% fill, trending up
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ros_translation: 150M # ~35% fill, sized with headroom
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