feat(ops): vision-manager sidecar to autoscale the llama.cpp container
Add a tiny privileged sidecar (vision-manager/) that polls the analysis backlog in Postgres and starts/stops the mangalord-vision container by name: start when analyze_page jobs are pending, stop after STOP_DEBOUNCE idle. It is the single owner of the vision lifecycle and the only component with Docker access — scoped through tecnativa/docker-socket-proxy (CONTAINERS+POST only) on an internal-only network, so the internet-facing backend never touches the socket. Both helpers sit behind `profiles: [ai]` (vanilla `compose up` is unaffected). The manager debounces the stop, gates the first request on GET /health==200 after a cold start, honours a crawl RAM-mutex on the 8 GiB box, and owns its own idle timer (leak-safe if the backend dies). Backlog query uses the real schema (state + payload->>'kind'); a read-only DB role (readonly-role.sql) keeps it off the backend creds. Bump 0.80.0 -> 0.81.0. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
29
.env.example
29
.env.example
@@ -189,3 +189,32 @@ BACKEND_PROXY_TIMEOUT_MS=300000
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# ANALYSIS_GROUNDING_PROMPT Override the tags/scene/safety (pass B) prompt.
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# Leave the prompt vars unset to use the built-in defaults (also editable,
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# with a per-prompt "reset to default", in the dashboard).
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# ----- Vision autoscaling (the `ai` compose profile) -----
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# The mangalord-vision (llama.cpp) container pins ~4.4 GiB and has no
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# idle-unload, so the `vision-manager` sidecar starts it on demand and
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# idle-stops it. Bring the two helper containers up with:
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# docker compose --profile ai up -d
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# The vision container itself is NOT defined in compose — it lives elsewhere
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# on the host and the manager drives it by name. See VISION-AUTOSCALE.md.
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#
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# ANALYSIS_VISION_HEALTH_URL — env-ONLY readiness gate for the analysis
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# worker. When set, the worker refuses to lease a page until this answers
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# 2xx, so the manager can stop vision mid-idle without jobs burning their
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# retries / landing `failed` rows. MUST point at the same vision instance the
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# worker analyses against. Leave empty to disable the gate (always-on setups).
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ANALYSIS_VISION_HEALTH_URL=http://mangalord-vision:8000/health
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#
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# vision-manager knobs:
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# VISION_MANAGER_DATABASE_URL — REQUIRED for the `ai` profile. A read-only
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# role, NOT the backend creds: apply vision-manager/readonly-role.sql once,
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# then set e.g.
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# VISION_MANAGER_DATABASE_URL=postgres://vision_manager:<pw>@postgres:5432/mangalord
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VISION_MANAGER_DATABASE_URL=
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# VISION_CONTAINER Container name the manager starts/stops. Default mangalord-vision.
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# VISION_HEALTH_URL /health URL the manager polls after start. Default http://mangalord-vision:8000/health.
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# VISION_POLL_INTERVAL Backlog poll cadence, seconds. Default 20.
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# VISION_STOP_DEBOUNCE Idle seconds before stopping vision. Default 600 (debounces bursty enqueues).
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# VISION_START_HEALTH_TIMEOUT Max seconds to wait for /health 200 after start. Default 300 (cold model load).
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# VISION_RESPECT_CRAWL_MUTEX 1 = don't start vision while a crawl runs (RAM mutex on the 8 GiB box). Default 1.
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# VISION_MAX_UPTIME >0 = force-stop vision after N seconds running (backstop). Default 0 (disabled).
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129
VISION-AUTOSCALE.md
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129
VISION-AUTOSCALE.md
Normal file
@@ -0,0 +1,129 @@
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# Vision auto start/stop — design brief for the dev agent
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**Goal:** the `mangalord-vision` (llama.cpp) container should only run while there
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is analysis work, and stop (freeing its ~4 GiB) once the queue drains —
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*without* handing the internet-facing backend control of the host Docker daemon.
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`llama-server` has **no idle-unload** (unlike Ollama). The only lever is the
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container lifecycle: start it when work appears, stop it when work is gone.
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> **Status: implemented.** The sidecar lives in [vision-manager/](vision-manager/)
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> (`manager.sh` + `Dockerfile` + `readonly-role.sql`), wired into
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> [docker-compose.yml](docker-compose.yml) behind `profiles: [ai]` alongside a
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> scoped `docker-socket-proxy`. The companion **readiness gate** is in the
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> analysis worker: when `ANALYSIS_VISION_HEALTH_URL` is set the worker will not
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> lease a page until vision answers `GET /health` 2xx, so an idle-stopped or
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> still-loading vision never burns a job's retries or writes a `failed` row
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> (the gotcha called out below). Configure via the `ai`-profile vars in
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> [.env.example](.env.example).
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## Chosen approach — Option 2: a "vision-manager" sidecar
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A tiny, single-purpose container that:
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1. **Watches the analysis backlog** in Postgres (read-only DB user).
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2. **Starts** `mangalord-vision` when there is pending work.
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3. **Stops** it after the backlog has been empty for a debounce window.
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The backend (`mangalord-backend`) is **not modified and gets no Docker access** —
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all privilege is isolated in the manager. This is the whole point: a popped
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backend can't reach the Docker socket.
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```
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┌────────────────┐ reads pending count ┌────────────┐
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│ vision-manager │ ───────────────────────▶│ postgres │
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│ (has socket) │ └────────────┘
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└──────┬─────────┘
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start/stop one │ (raw socket, OR scoped via docker-socket-proxy)
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container only ▼
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┌────────────────┐
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│ mangalord-vision│ (profiles: [ai], started by name)
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└────────────────┘
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```
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### What to poll (concrete)
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The analysis daemon consumes the **shared `crawler_jobs` queue, filtered by the
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analysis job kind**, and every unanalyzed page has a `page_analysis` row with
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`status='pending'`. Either is a valid "is there work?" signal:
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- **Queue-accurate (what the manager uses):** the queue column is `state`
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(not `status`) and the kind lives in the JSONB payload — see
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[backend/migrations/0012_crawler.sql](backend/migrations/0012_crawler.sql):
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```sql
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SELECT count(*) FROM crawler_jobs
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WHERE payload->>'kind' = 'analyze_page'
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AND state IN ('pending','running');
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```
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- **Backlog-simple:** `SELECT count(*) FROM page_analysis WHERE status='pending'`.
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Prefer a **read-only** DB role scoped to those tables. Don't reuse the backend's
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DB credentials.
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### Lifecycle logic (sketch)
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```
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loop every POLL_INTERVAL (e.g. 20s):
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pending = count_pending_work()
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if pending > 0 and vision is stopped:
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docker start mangalord-vision
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wait for GET /health == 200 (up to a few minutes — cold model load)
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reset idle timer
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if pending == 0 and vision is running:
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if idle for >= STOP_DEBOUNCE (e.g. 5–10 min):
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docker stop mangalord-vision
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```
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## Recommendations
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- **Scope the Docker access.** Best: run `tecnativa/docker-socket-proxy` on an
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internal-only network with everything disabled except container start/stop,
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and point the manager at the proxy. Acceptable for a tiny trusted manager:
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mount the raw socket *into the manager only* (never the backend).
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- **Keep the manager dumb and small.** ~100 lines. A shell loop with
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`docker`/`curl`, or a small Go/Rust binary. No web surface.
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- **Make it the single source of truth** for the vision lifecycle. Don't also
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have the backend or a cron poke the same container.
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- **Start by container name**, not `compose up` (the service is `profiles:[ai]`;
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name-based `docker start/stop` works and won't fight a separate `compose up`).
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- Optionally expose the toggle as a runtime setting ("auto-manage vision: on/off")
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so it can be disabled without redeploying.
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## Pitfalls / gotchas (flag all of these)
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- **Cold start is expensive (~minutes)** to mmap 3.2 GiB + warm up. So:
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- **Debounce the STOP** (5–10 min idle) — bursty uploads/re-analysis enqueue
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in waves; stopping the instant the queue hits zero thrashes the load cycle
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and loses more time than it saves.
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- **Gate the first request on `GET /health == 200`** after start, or the first
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jobs fail with connection-refused. (The backend already has request/job
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timeouts — 300s/1800s — but a multi-minute cold start can still exceed a
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single request timeout if a job is dispatched too eagerly.)
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- **Idempotency / single-flight:** starting an already-running container must be
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a no-op; never issue concurrent starts. One manager instance only.
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- **Leak safety / don't depend on a "drained" signal from the backend:** the
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manager's own idle timer must stop the container even if the backend crashes
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mid-batch. Conversely, if the manager dies, the container keeps running
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(harmless, just RAM) — consider a max-uptime backstop.
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- **RAM headroom on the 8 GiB Pi:** vision sits ~4.4 GiB; `mem_limit: 6g` is set
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on the service. The manager must not start vision while another big consumer
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(a crawl with Chromium) is running, or the box OOMs. Consider a simple mutual
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exclusion / total-RAM check.
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- **Health vs readiness:** `/health` returns 200 once the model is loaded; that
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is the readiness signal. Don't treat "container running" as "ready".
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- **Re-analysis storms:** an admin "re-enqueue all" can flood the queue; the
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manager will (correctly) start vision and keep it up for a long backfill —
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expected, but make sure the STOP debounce doesn't bounce it mid-backfill if
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the queue briefly empties between batches.
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- **Profile interaction:** `docker compose --profile ai up` / CI deploys name
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only the two mangalord services, so they won't start/stop vision — but a
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human running a full `compose --profile ai up -d` could. Document that the
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manager owns the lifecycle.
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## Why not give the backend the socket directly
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`mangalord-backend` is internet-facing (behind Caddy at manga.mc02.dev). Mounting
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the raw Docker socket there makes any backend RCE a full host takeover
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(postgres, gitea, vaultwarden, …). If the backend *must* drive it, use the
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docker-socket-proxy scoped to start/stop of the single container — never the raw
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socket. Option 2 sidesteps the question entirely by keeping the backend clean.
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2
backend/Cargo.lock
generated
2
backend/Cargo.lock
generated
@@ -1517,7 +1517,7 @@ checksum = "c41e0c4fef86961ac6d6f8a82609f55f31b05e4fce149ac5710e439df7619ba4"
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[[package]]
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name = "mangalord"
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version = "0.80.0"
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version = "0.81.0"
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dependencies = [
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"anyhow",
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"argon2",
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@@ -1,6 +1,6 @@
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[package]
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name = "mangalord"
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version = "0.80.0"
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version = "0.81.0"
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edition = "2021"
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default-run = "mangalord"
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@@ -91,6 +91,13 @@ services:
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CRAWLER_TOR_CONTROL_URL: ${CRAWLER_TOR_CONTROL_URL-tcp://tor:9051}
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CRAWLER_TOR_CONTROL_PASSWORD: ${TOR_CONTROL_PASSWORD:?TOR_CONTROL_PASSWORD must be set in .env}
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CRAWLER_TOR_RECIRCUIT_MAX_ATTEMPTS: ${CRAWLER_TOR_RECIRCUIT_MAX_ATTEMPTS:-3}
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# Vision readiness gate (env-ONLY, not a dashboard setting). When set,
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# the analysis worker refuses to lease a page until this answers 2xx, so
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# the vision-manager autoscaler can idle-stop the vision container
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# without jobs burning their retries / landing `failed` rows. Leave
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# empty (the default) to disable the gate for an always-on endpoint.
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# Pair with the `ai` profile services below. See VISION-AUTOSCALE.md.
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ANALYSIS_VISION_HEALTH_URL: ${ANALYSIS_VISION_HEALTH_URL:-}
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volumes:
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- storage-data:/var/lib/mangalord/storage
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# No host port mapping in the default setup — the frontend proxies
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@@ -111,6 +118,62 @@ services:
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ports:
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- "3000:3000"
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# ----- Vision autoscaling (profile: ai) -----------------------------------
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# Two extra containers that idle-stop the mangalord-vision (llama.cpp)
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# container when there is no analysis work and start it back up on demand.
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# Gated behind `profiles: [ai]` so a vanilla `docker compose up` is
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# unaffected — bring them up with `docker compose --profile ai up -d`.
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# The vision container itself is NOT defined here (it lives elsewhere on the
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# host); the manager drives it by name. See VISION-AUTOSCALE.md.
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# Scoped Docker access for the manager: exposes ONLY the /containers API and
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# write methods (start/stop) over TCP on an internal-only network. The raw
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# host socket is mounted HERE and nowhere else — never on the backend.
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docker-socket-proxy:
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image: tecnativa/docker-socket-proxy:latest
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profiles: ["ai"]
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environment:
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CONTAINERS: 1 # allow /containers/* (inspect, start, stop)
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POST: 1 # allow write methods (start/stop are POSTs)
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# Everything else stays denied (images, exec, networks, volumes, ...).
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volumes:
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- /var/run/docker.sock:/var/run/docker.sock:ro
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networks:
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- vision-internal
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restart: unless-stopped
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vision-manager:
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build: ./vision-manager
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profiles: ["ai"]
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depends_on:
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postgres:
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condition: service_healthy
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docker-socket-proxy:
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condition: service_started
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environment:
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# Read-only role — apply vision-manager/readonly-role.sql once, then set
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# VISION_MANAGER_DATABASE_URL in .env. Do NOT reuse the backend creds.
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DATABASE_URL: ${VISION_MANAGER_DATABASE_URL:?set VISION_MANAGER_DATABASE_URL in .env (vision_manager read-only role)}
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VISION_CONTAINER: ${VISION_CONTAINER:-mangalord-vision}
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VISION_HEALTH_URL: ${VISION_HEALTH_URL:-http://mangalord-vision:8000/health}
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DOCKER_HOST: tcp://docker-socket-proxy:2375
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POLL_INTERVAL: ${VISION_POLL_INTERVAL:-20}
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STOP_DEBOUNCE: ${VISION_STOP_DEBOUNCE:-600}
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START_HEALTH_TIMEOUT: ${VISION_START_HEALTH_TIMEOUT:-300}
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RESPECT_CRAWL_MUTEX: ${VISION_RESPECT_CRAWL_MUTEX:-1}
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MAX_UPTIME: ${VISION_MAX_UPTIME:-0}
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networks:
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- default # reach postgres + the vision container by name
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- vision-internal # reach the socket-proxy
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restart: unless-stopped
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networks:
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default:
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# Internal-only: no route to the outside world. Only the manager and the
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# socket-proxy sit on it, so nothing else can reach the Docker API.
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vision-internal:
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internal: true
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volumes:
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postgres-data:
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storage-data:
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@@ -1,6 +1,6 @@
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{
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"name": "mangalord-frontend",
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"version": "0.80.0",
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"version": "0.81.0",
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"private": true,
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"type": "module",
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"scripts": {
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17
vision-manager/Dockerfile
Normal file
17
vision-manager/Dockerfile
Normal file
@@ -0,0 +1,17 @@
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# vision-manager — tiny sidecar that starts/stops mangalord-vision by name
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# according to the analysis backlog. See manager.sh and VISION-AUTOSCALE.md.
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FROM alpine:3.20
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# bash (the script uses arrays/arithmetic), curl (/health probe),
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# postgresql-client (psql backlog query), docker-cli (start/stop via the
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# socket-proxy). No daemon, no compiled build.
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RUN apk add --no-cache bash curl postgresql-client docker-cli
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COPY manager.sh /usr/local/bin/manager.sh
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RUN chmod +x /usr/local/bin/manager.sh
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# Run unprivileged: the container only needs to reach the socket-proxy over
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# TCP and Postgres — it never touches the host socket directly.
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USER nobody
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ENTRYPOINT ["bash", "/usr/local/bin/manager.sh"]
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146
vision-manager/manager.sh
Normal file
146
vision-manager/manager.sh
Normal file
@@ -0,0 +1,146 @@
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#!/usr/bin/env bash
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# vision-manager — start/stop the mangalord-vision (llama.cpp) container by
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# name according to the analysis backlog in Postgres.
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#
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# Why this exists: llama-server has no idle-unload and pins ~4.4 GiB. On the
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# 8 GiB box vision must only run while there is analysis work. This sidecar is
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# the SINGLE owner of the vision lifecycle and the only component with Docker
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# access (scoped through docker-socket-proxy) — the internet-facing backend
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# never gets the socket. See VISION-AUTOSCALE.md.
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#
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# It is deliberately dumb: a poll loop with psql + curl + docker. No web
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# surface, no state beyond an in-memory idle timer. If it dies, vision keeps
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# running (harmless RAM); a MAX_UPTIME backstop bounds that.
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set -euo pipefail
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# ---- Config (all overridable via env) --------------------------------------
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: "${DATABASE_URL:?DATABASE_URL must be set (use the read-only vision_manager role)}"
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VISION_CONTAINER="${VISION_CONTAINER:-mangalord-vision}"
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VISION_HEALTH_URL="${VISION_HEALTH_URL:-http://mangalord-vision:8000/health}"
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# DOCKER_HOST points at the scoped docker-socket-proxy by default.
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export DOCKER_HOST="${DOCKER_HOST:-tcp://docker-socket-proxy:2375}"
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POLL_INTERVAL="${POLL_INTERVAL:-20}" # seconds between backlog checks
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STOP_DEBOUNCE="${STOP_DEBOUNCE:-600}" # idle seconds before stopping vision
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START_HEALTH_TIMEOUT="${START_HEALTH_TIMEOUT:-300}" # max wait for /health 200
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HEALTH_POLL_INTERVAL="${HEALTH_POLL_INTERVAL:-5}" # poll cadence while warming
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MAX_UPTIME="${MAX_UPTIME:-0}" # >0: force-stop after N idle-or-not seconds running (backstop); 0 disables
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# When >0, refuse to start vision while a crawl is running (Chromium + vision
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# together OOM the 8 GiB box). Set to 0 on roomier hosts.
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RESPECT_CRAWL_MUTEX="${RESPECT_CRAWL_MUTEX:-1}"
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PSQL=(psql "$DATABASE_URL" -At -v ON_ERROR_STOP=1)
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log() { echo "[vision-manager] $(date -u +%FT%TZ) $*"; }
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# ---- Queries ---------------------------------------------------------------
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# Pending analysis work: pending OR currently-leased analyze_page jobs. Note
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# the queue column is `state` (not `status`) and the kind lives in the JSONB
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# payload — see backend/migrations/0012_crawler.sql.
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pending_analysis() {
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"${PSQL[@]}" -c \
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"SELECT count(*) FROM crawler_jobs
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WHERE payload->>'kind' = 'analyze_page'
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AND state IN ('pending','running');" 2>/dev/null || echo "ERR"
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}
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# A crawl is in-flight if any non-analyze job is currently running.
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crawl_running() {
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"${PSQL[@]}" -c \
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"SELECT count(*) FROM crawler_jobs
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WHERE payload->>'kind' <> 'analyze_page'
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AND state = 'running';" 2>/dev/null || echo "ERR"
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}
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# ---- Docker helpers --------------------------------------------------------
|
||||
# `docker inspect .State.Running` → true/false; empty if the container is
|
||||
# absent (defined elsewhere and not yet created) — treated as not-running.
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vision_running() {
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docker inspect -f '{{.State.Running}}' "$VISION_CONTAINER" 2>/dev/null || echo "false"
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||||
}
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vision_ready() {
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curl -fsS -m "$HEALTH_POLL_INTERVAL" -o /dev/null "$VISION_HEALTH_URL" 2>/dev/null
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||||
}
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start_vision() {
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log "starting $VISION_CONTAINER"
|
||||
# Idempotent: starting an already-running container is a docker no-op.
|
||||
if ! docker start "$VISION_CONTAINER" >/dev/null 2>&1; then
|
||||
log "ERROR: docker start failed (is $VISION_CONTAINER defined on this host?)"
|
||||
return 1
|
||||
fi
|
||||
local waited=0
|
||||
while ! vision_ready; do
|
||||
if [ "$waited" -ge "$START_HEALTH_TIMEOUT" ]; then
|
||||
log "WARNING: $VISION_CONTAINER not healthy after ${START_HEALTH_TIMEOUT}s; leaving it running"
|
||||
return 1
|
||||
fi
|
||||
sleep "$HEALTH_POLL_INTERVAL"
|
||||
waited=$((waited + HEALTH_POLL_INTERVAL))
|
||||
done
|
||||
log "$VISION_CONTAINER healthy after ~${waited}s"
|
||||
}
|
||||
|
||||
stop_vision() {
|
||||
log "stopping $VISION_CONTAINER (idle ${STOP_DEBOUNCE}s)"
|
||||
docker stop "$VISION_CONTAINER" >/dev/null 2>&1 || log "WARNING: docker stop failed"
|
||||
}
|
||||
|
||||
# ---- Main loop -------------------------------------------------------------
|
||||
log "started: container=$VISION_CONTAINER health=$VISION_HEALTH_URL poll=${POLL_INTERVAL}s debounce=${STOP_DEBOUNCE}s docker_host=$DOCKER_HOST"
|
||||
|
||||
idle_for=0 # seconds the queue has been empty while vision is running
|
||||
up_for=0 # seconds vision has been running (for MAX_UPTIME backstop)
|
||||
|
||||
while true; do
|
||||
pending="$(pending_analysis)"
|
||||
running="$(vision_running)"
|
||||
|
||||
if [ "$pending" = "ERR" ]; then
|
||||
log "WARNING: backlog query failed; will retry next tick"
|
||||
sleep "$POLL_INTERVAL"
|
||||
continue
|
||||
fi
|
||||
|
||||
if [ "$running" = "true" ]; then
|
||||
up_for=$((up_for + POLL_INTERVAL))
|
||||
else
|
||||
up_for=0
|
||||
fi
|
||||
|
||||
if [ "$pending" -gt 0 ]; then
|
||||
idle_for=0
|
||||
if [ "$running" != "true" ]; then
|
||||
if [ "$RESPECT_CRAWL_MUTEX" != "0" ] && [ "$(crawl_running)" != "0" ]; then
|
||||
log "deferring start: $pending analysis job(s) pending but a crawl is running (RAM mutex)"
|
||||
else
|
||||
start_vision || true
|
||||
fi
|
||||
fi
|
||||
else
|
||||
# No work. Debounce the stop so bursty enqueues don't thrash the load
|
||||
# cycle, and own the stop on our OWN timer (never wait for a backend
|
||||
# "drained" signal — leak safety).
|
||||
if [ "$running" = "true" ]; then
|
||||
idle_for=$((idle_for + POLL_INTERVAL))
|
||||
if [ "$idle_for" -ge "$STOP_DEBOUNCE" ]; then
|
||||
stop_vision
|
||||
idle_for=0
|
||||
up_for=0
|
||||
fi
|
||||
else
|
||||
idle_for=0
|
||||
fi
|
||||
fi
|
||||
|
||||
# Backstop: bound how long vision can stay up regardless of debounce state.
|
||||
if [ "$MAX_UPTIME" -gt 0 ] && [ "$running" = "true" ] && [ "$up_for" -ge "$MAX_UPTIME" ]; then
|
||||
log "MAX_UPTIME ${MAX_UPTIME}s reached; force-stopping $VISION_CONTAINER"
|
||||
stop_vision
|
||||
idle_for=0
|
||||
up_for=0
|
||||
fi
|
||||
|
||||
sleep "$POLL_INTERVAL"
|
||||
done
|
||||
32
vision-manager/readonly-role.sql
Normal file
32
vision-manager/readonly-role.sql
Normal file
@@ -0,0 +1,32 @@
|
||||
-- Read-only DB role for vision-manager.
|
||||
--
|
||||
-- The sidecar only needs to count pending analysis work; give it SELECT on
|
||||
-- crawler_jobs and nothing else. It must NOT reuse the backend's credentials.
|
||||
--
|
||||
-- The Postgres service mounts no init dir and the data volume already exists,
|
||||
-- so this is applied ONCE by an operator (it is idempotent):
|
||||
--
|
||||
-- docker compose exec -T postgres \
|
||||
-- psql -U "$POSTGRES_USER" -d "$POSTGRES_DB" -v pw="<a-strong-password>" \
|
||||
-- -f - < vision-manager/readonly-role.sql
|
||||
--
|
||||
-- Then point the manager at it (VISION_MANAGER_DATABASE_URL in .env):
|
||||
-- postgres://vision_manager:<a-strong-password>@postgres:5432/<POSTGRES_DB>
|
||||
--
|
||||
-- The password is passed via psql's -v pw=... ; psql substitutes :'pw' as a
|
||||
-- quoted literal and :"DBNAME" (psql's built-in) as the current db identifier.
|
||||
-- These substitutions only happen in plain statements, NOT inside a
|
||||
-- dollar-quoted DO block — hence the \gexec form below.
|
||||
|
||||
-- Create the LOGIN role only if it is absent (idempotent).
|
||||
SELECT 'CREATE ROLE vision_manager LOGIN'
|
||||
WHERE NOT EXISTS (SELECT FROM pg_roles WHERE rolname = 'vision_manager')
|
||||
\gexec
|
||||
|
||||
-- (Re)set the password every run so rotating it is just a re-apply.
|
||||
ALTER ROLE vision_manager LOGIN PASSWORD :'pw';
|
||||
|
||||
-- CONNECT to the current database, and read-only on the one table we poll.
|
||||
GRANT CONNECT ON DATABASE :"DBNAME" TO vision_manager;
|
||||
GRANT USAGE ON SCHEMA public TO vision_manager;
|
||||
GRANT SELECT ON crawler_jobs TO vision_manager;
|
||||
Reference in New Issue
Block a user