现状:read_batch 里 const SINGLE_EVENT_CEILING_MS = 300_000 是硬编码, 而真实单事件上限 = (max_retries+1) x (jmap+telegram+llm 三个 timeout), 运维把任一超时调大后实际耗时可能远超 300s → 空闲阈值欠保护, 多实例会把还在处理的条目提前认领,造成重复投递。 改动(ROADMAP 缺口③「多实例重复窗口」): - single_event_ceiling_ms(config) 纯函数:(max_retries+1) x (jmap+telegram+llm) x 2 (SAFETY),并用 .max(SINGLE_EVENT_CEILING_FLOOR_MS=300_000) 兜底, 零值配置不会把窗口缩到 legacy 常量之下。 - reclaim_idle_threshold_ms(config, count) 纯函数:count.max(1) x 单事件上限, 再 .min(RECLAIM_IDLE_THRESHOLD_CAP_MS = 6h) 防误调把恢复拖到天级。 - read_batch 调用 self.get_outbound_config()(trait 方法,同实现内已有,未改签名), Ok 走推导值,Err 回退 count x 300_000(不破坏投递主流程、不传播 Redis 错误)。 既有闸门不动:notify.rs 投递前查 delivery:committed、60s delivery:inflight 在途租约、 retry_or_dlq 3 次。本次只修阈值本身,性质保持「永不丢、只可能重复;单实例不受影响」。 :356-364 那段注释改写为描述真实机制(旧文「~300s 上限」已不准确), 未写入任何未经测试证明的断言。 测试:3 个纯函数单测覆盖 —— 默认配置 (15+10+30)x4x2=440s >= 300s floor、 大超时配置阈值更大、零值配置不缩到 floor 之下、荒唐超时被封顶 6h、count=0 用 1 事件兜底。 GATE-P0 全绿:fmt --check、check --locked、clippy --locked --all-targets -D warnings、 test --locked → 55 passed / 0 failed / 1 ignored。 |
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| .github/workflows | ||
| cloudflare-worker | ||
| docs | ||
| src | ||
| web | ||
| .dockerignore | ||
| .env.example | ||
| .gitignore | ||
| AGENTS.md | ||
| Cargo.lock | ||
| Cargo.toml | ||
| Dockerfile | ||
| README.md | ||
| README.zh-CN.md | ||
| hoststack.yaml | ||
README.md
MessageWeave
中文文档 / Chinese documentation → README.zh-CN.md
One Telegram bot per mailbox. New mail arrives as metadata; the original is always fetched read-only from your own JMAP server.
1. What it is
MessageWeave sits between a JMAP mail server (for example Stalwart) and a Telegram bot.
- Inbound. A JMAP push subscription tells the service that a message changed. Nothing is polled at rest.
- Outbound. Each event becomes a short, metadata-only Telegram notification: sender, subject, timestamp. Mail bodies are never sent to Telegram.
- On demand. When you ask, the service reads the original through a fresh JMAP read call. Nothing is cached in between.
- Optionally summarised. If you explicitly opt in, an OpenAI-compatible LLM returns a short summary. Requests, responses and attachment bytes are never persisted.
State is an architectural boundary here, not a preference.
- Redis is the only state store. No database, no embedded store, no second store.
- The process writes nothing to disk. No log files, no data files, no local volume.
- No long-lived connections. No SSE, no WebSocket, no long polling.
- Logs go to stdout only. The platform's collector owns log storage and retention.
- What it is not. It is not a mail client, not a proxy, and not a relay. It forwards metadata to one bot; it does not read arbitrary URLs, open tunnels, or broker traffic.
2. 5-minute setup
Requires a reachable Redis 7 instance and a JMAP session plus a Telegram bot token.
cp .env.example .env # fill REDIS_URL and CONFIG_ENCRYPTION_KEY
docker build -t messageweave:latest .
docker run --env-file .env -p 8080:8080 messageweave:latest
Then open http://localhost:8080 in a browser. The first-boot SPA calls
POST /api/bootstrap, stores the business secrets in Redis, and creates the admin session.
From that point the browser configures the service through Redis — no environment variable
is read or written again for business configuration.
For local builds without Docker: cargo build --locked produces the message-weave binary.
If the service answers requests but does nothing useful, check the logs for a startup warning: a missing required variable does not crash the process. It serves a read-only setup router over in-memory state instead. See §3.
3. Configuration entry points
Three layers. They are not interchangeable.
Boot-time environment — 2 required, 2 optional.
| Variable | Required | Default |
|---|---|---|
REDIS_URL |
yes | — |
CONFIG_ENCRYPTION_KEY |
yes | — |
PORT |
no | 8080 |
RUN_MODE |
no | webhook |
RUN_MODE accepts webhook or reconcile. .env.example ships only the two required
variables; the rest are documented defaults.
Business configuration — Redis, written by the browser.
POST /api/bootstrap is the one-shot trust bootstrap; PUT /api/business-config hot-
reloads individual settings within about one second. The process never reads business
secrets from the environment in normal operation.
Health.
GET /healthz returns 200 unconditionally — it is liveness, not readiness. GET /ready
returns 503 until configuration, Redis, and both upstreams (a JMAP session GET and
Telegram getMe, 3s each) are reachable. Probe /ready, not /healthz, when deciding
whether to route traffic — but /ready is the heavier probe (~3s worst case), so a monitor
that must stay cheap should watch the gateway's aggregated /healthz.
Remote debug (opt-in, off by default).
/debug/* is an optional remote-debug surface: live JMAP and Telegram probes, the current
business config, and a single Telegram send. It sits behind a two-factor gate — the process
must be started with --debug and DEBUG_TOKEN must be set; miss either and the routes
do not exist at all (requests fall through to a generic 404). Nothing under /debug/* is on
the gateway allowlist, so it is reachable only on the backend origin itself. The only rule for
running it is to keep it off: leave --debug out of the start command and leave DEBUG_TOKEN
unset. If you do turn it on for a one-off diagnosis, configure the chat allowlist first — with
an empty allowlist the test send is not restricted to any chat. See
docs/deployment.md §2.1.
4. Security boundary, in one sentence
All state lives in Redis; the process reads only two environment variables and writes nothing to disk.
One corollary matters for setup: the SPA admin credential — and therefore the bootstrap
trust root — is CONFIG_ENCRYPTION_KEY itself, the single 32-byte hex value you supply at
startup. It is only compared in constant time, and is never echoed, logged, or stored. The
Redis ACL password, if you have one, authenticates the Redis connection alone and is not
the credential for any HTTP endpoint.
5. Where to read more
| Document | What it answers |
|---|---|
docs/design.md |
Why the system is shaped this way: data flow, JMAP semantics, Redis streams, AI consent rules |
docs/deployment.md |
How to deploy: Dockerfile, secrets, Redis hosting, webhook/push/reconcile routing, multi-instance load balancing |
docs/reference.md |
Single source of truth for verifiable facts — Redis keys and TTLs, error codes, routes, environment layers, budgets |
docs/roadmap.md |
Gaps, blockers and the next phase |
docs/retired.md |
What was tried and dropped — abandoned routes, unreleased designs, and names that never existed |
AGENTS.md |
Contribution rules, hard boundaries, the stable-ID index for cross-document references |
Facts that matter are traceable. If two documents disagree, docs/reference.md wins.