Miguel Ángel
2ce5b421f1
getSystemTotalMb returned os.totalmem() — the host's physical RAM — so a 4GB Docker container on a 32GB host never auto-flagged as low-memory and the low-memory render profile didn't activate exactly where it's needed most. Read the cgroup v2 limit (/sys/fs/cgroup/memory.max, with the v1 fallback and its no-limit sentinel handled) and use min(host, cgroup). The probe is best-effort and non-Linux platforms never touch /sys. Review follow-ups: worker sizing (calculateOptimalWorkers) and the getSystemResources diagnostics previously read os.totalmem() directly and now use getSystemTotalMb(), so container limits actually govern parallel spawn decisions; CLI telemetry reports the effective total as well. The cgroup probe result is cached for the process lifetime (the limit is immutable per process) with a test reset hook; a detected limit logs once so operators can see which source governs, and a present-but-unreadable cgroup file warns once instead of failing silently — absence stays silent. The root-path-vs-/proc/self/cgroup trade-off is documented at the path constants. cli/tsconfig.json gains the gcp-cloud-run/sdk source alias (matching the existing producer and aws-lambda entries) so the cli typecheck resolves from source in a fresh checkout. Refs #1193, #1194, #1195, #1236
24 lines
702 B
JSON
24 lines
702 B
JSON
{
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"compilerOptions": {
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"target": "ES2022",
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"module": "ESNext",
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"moduleResolution": "bundler",
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"baseUrl": ".",
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"paths": {
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"@hyperframes/producer": ["../producer/src/index.ts"],
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"@hyperframes/producer/distributed": ["../producer/src/distributed.ts"],
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"@hyperframes/aws-lambda/sdk": ["../aws-lambda/src/sdk/index.ts"],
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"@hyperframes/gcp-cloud-run/sdk": ["../gcp-cloud-run/src/sdk/index.ts"]
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},
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"strict": true,
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"noUncheckedIndexedAccess": true,
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"esModuleInterop": true,
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"skipLibCheck": true,
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"outDir": "./dist",
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"declaration": true,
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"ignoreDeprecations": "5.0"
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},
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"include": ["src"],
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"exclude": ["node_modules", "dist"]
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}
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