emi
2d3f37c474
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The gateway bot and APScheduler were long-lived stateful I/O loops running inside the async web app under a leader election. They move into a single Go binary that owns ONLY that I/O -- websocket, RESUME, heartbeat, backoff, timers. It owns no grading logic. Anything needing data calls back over a new internal-only surface (/internal/discord/grade, /internal/jobs/*). Grading depends on polars and the parquet cache; reimplementing it in Go would let the bot's grades drift from the API's. The grade route returns gateway-ready JSON and Go relays the bytes verbatim. The binary ships in the backend image and runs as a second compose service off the same tag, so the two ends of the /internal/* contract can never skew. deploy.sh rolls daemon alongside backend -- without that the service would never be created, since a single-service deploy uses --no-deps. It also probes the image first and skips the daemon when rolling a tag that predates the binary: infra tracks main while image tags are env-staged, so a host can legitimately be asked to roll an older backend image, and creating the service anyway would leave a container crash-looping on a missing binary. replicas: 1 with order: stop-first replaces the leader election -- Discord permits one gateway connection per bot token. THERMOGRAPH_INTERNAL_TOKEN is optional: both ends derive it from THERMOGRAPH_AUTH_SECRET via HMAC under a domain-separation label, so this needs no new vault entry. The derivation is pinned to a shared cross-language test vector asserted on both sides, so drift fails CI instead of 401ing every call. Fail closed when neither secret is set. Improvements over the Python: a close intended for RESUME uses 4000 rather than 1000 (Discord invalidates a session closed 1000, so the old default defeated its own resume); MESSAGE_CREATE runs on a bounded worker pool; and a malformed HELLO returns an error rather than a clean reconnect, which would otherwise reset backoff and hot-loop against the gateway. 365 Python tests pass; Go build/vet/test -race clean; shellcheck 0 findings.
52 lines
2.6 KiB
YAML
52 lines
2.6 KiB
YAML
# Dev overlay for the LAN dev server (deploy/deploy-dev.sh):
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#
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# docker compose -f docker-compose.yml -f docker-compose.dev.yml up -d
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#
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# Split-repo adaptation: the monorepo's docker-compose.dev.yml (see
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# thermograph/docker-compose.dev.yml) overlaid a base file where backend and
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# frontend had `build: .` -- dev's whole point there was `--build` in place from
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# the working checkout. This infra repo holds no Dockerfile at all (each service's
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# lives in its own app repo, thermograph-backend / thermograph-frontend), so the
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# base docker-compose.yml already has NO `build:` for either service, only
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# `image: .../${BACKEND_IMAGE_PATH}:${BACKEND_IMAGE_TAG}` (and the frontend
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# equivalent) -- same registry-pull model as prod/beta, just pointed at a dev tag
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# by deploy-dev.sh. This overlay must NOT reintroduce `build:`; it only relaxes
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# resource caps and LAN-exposes a port, same as the monorepo overlay did.
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#
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# Differences from the prod stack (unchanged intent from the monorepo overlay):
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# 1. backend is published on ALL interfaces (0.0.0.0:8137), not loopback, so
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# phones and other devices on the Wi-Fi can reach the dev server directly --
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# dev has no Caddy in front (prod does, which is why the base file binds
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# 127.0.0.1 only).
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# 2. frontend's port publish is dropped entirely -- dev has no Caddy to reach it
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# directly, so it stays compose-internal-only, reached solely through
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# backend's own reverse-proxy fallback (THERMOGRAPH_FRONTEND_BASE_INTERNAL,
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# see backend/web/app.py's _proxy_to_frontend in the backend repo). This
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# keeps the dev stack serving the one URL it always has, at :8137.
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# 3. The CPU caps are removed -- dev runs UNCAPPED (no thread/CPU limits), unlike
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# prod's backend=4 / frontend=2 / db=2 allocation. `!reset` drops the base
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# value (both the top-level `cpus:` and the Swarm-style `deploy.resources`
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# block the base file carries for parity).
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services:
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backend:
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ports: !override
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- "8137:8137"
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cpus: !reset null
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deploy: !reset null
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frontend:
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ports: !reset null
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cpus: !reset null
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deploy: !reset null
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# Same uncapped-on-dev treatment for the daemon; it has no ports to touch
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# (outbound-only in every environment).
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daemon:
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cpus: !reset null
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deploy: !reset null
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db:
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cpus: !reset null
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deploy: !reset null
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# Uncapped memory on dev too (prod ceilings it at 8g). The Postgres/DuckDB
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# memory *budget* is still the ~8 GB derived by deploy/db/init/20-tuning.sh from
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# the default DB_MEMORY (raise DB_MEMORY to give dev more); shm_size stays (it's
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# required shared memory for parallel query, not a limit).
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mem_limit: !reset null
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