이랑이
e4f8e6ef53
이전 커밋 08ea92f 은 잘못된 접근이었음. OpenClaw 가 이미 Discord 게이트웨이를
띄우고 있고 자매들의 봇 identity 는 거기 하나로 통일되어야 함. rails 가
discord.js 로 별도 봇을 등록하면 두 봇이 같은 채널에 공존하는 기이한 구조가
된다.
올바른 경로는 OpenClaw skill 의 user-invocable frontmatter 로 슬래시 커맨드를
노출하는 것이고, 이건 별도 커밋으로 ~/.openclaw/skills/hanarang-rails/ 에
반영됨.
삭제:
- src/bridge/ 전체 (discord-client, discord-commands, discord-notifier, index)
- tests/discord-notifier.test.ts
- package.json 의 discord.js 의존성
- src/cli/serve.ts 의 bridge 부트스트랩
- .env.example 의 DISCORD_* 블록
보존:
- runner.ts 의 PipelineLifecycleEvent + onEvent 훅 — 유닛 테스트/대시보드
WebSocket 등에 재사용 가능
- POST /pipelines/start-async 엔드포인트 — skill 의 polling wrapper 가 이걸 씀
- runner opts.pipelineId 지원 — async start 가 의존함
- http.ts ServerOpts 의 onPipelineEvent/notifier 파라미터 — 추상화는 유지,
serve.ts 가 주입을 안 할 뿐
테스트: 118 → 111 (discord-notifier 7 개 삭제), 나머지 그대로 통과.
131 lines
5.9 KiB
Plaintext
131 lines
5.9 KiB
Plaintext
# ────────────────────────────────────────────────────────────────
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# hanarang-rails — environment configuration
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# Copy this file to `.env` and fill in the values you need.
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#
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# The file is grouped into:
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# 1. required (must set to run any pipeline)
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# 2. LLM provider (pick one)
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# 3. transport / deployment topology
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# 4. optional — Gitea push
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# 5. optional — Discord bridge
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# ────────────────────────────────────────────────────────────────
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# ==== 1. REQUIRED =====================================================
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# MariaDB / MySQL connection string used by Prisma.
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# For docker-compose, use:
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# mysql://rails:rails@mariadb:3306/hanarang_rails
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DATABASE_URL="mysql://rails:CHANGE_ME@localhost:3306/hanarang_rails"
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# Rails HTTP server port
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RAILS_PORT=18800
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RAILS_LOG_LEVEL=info
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NODE_ENV=production
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# ==== 2. LLM PROVIDER =================================================
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#
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# Pick exactly one provider for LLM_PROVIDER. Supported values:
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# mock — deterministic fake responses. No network, no money.
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# openai — OpenAI / OpenRouter / Azure OpenAI / any OpenAI-compatible API
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# anthropic — Anthropic Messages API
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# ollama — local Ollama server (https://ollama.com)
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# openclaw — hanarang-internal OpenClaw runtime (most external users won't have this)
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LLM_PROVIDER=mock
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# Per-role model override. Leave empty to use the defaults baked into roles.ts
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# (which are OpenClaw-flavored names — you probably need to set these for
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# openai / anthropic / ollama).
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#
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# Good starting points:
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# OpenAI: gpt-4o / gpt-4o-mini
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# Anthropic: claude-opus-4-6 / claude-haiku-4-5
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# Ollama: qwen2.5-coder:32b / qwen2.5-coder:7b
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#
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# LLM_MODEL_MANAGER=gpt-4o
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# LLM_MODEL_PRINCIPAL=gpt-4o
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# LLM_MODEL_LEAD=gpt-4o-mini
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# LLM_MODEL_JUNIOR=gpt-4o-mini
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# LLM_MODEL_FALLBACK=gpt-4o-mini
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# ── OpenAI (and OpenAI-compatible) ────────────────────────────────────
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# OPENAI_API_KEY=sk-...
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# OPENAI_BASE_URL=https://api.openai.com/v1
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# (also works for OpenRouter, Azure OpenAI, local llama.cpp servers, etc.)
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# ── Anthropic ─────────────────────────────────────────────────────────
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# ANTHROPIC_API_KEY=sk-ant-...
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# ANTHROPIC_BASE_URL=https://api.anthropic.com
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# ── Ollama (local) ────────────────────────────────────────────────────
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# OLLAMA_BASE_URL=http://localhost:11434
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# ── OpenClaw (internal) ───────────────────────────────────────────────
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# OPENCLAW_BIN=/home/you/.npm-global/bin/openclaw
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# ==== 3. TRANSPORT / TOPOLOGY =========================================
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#
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# rails supports three deployment topologies:
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#
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# 1. in-process — everything in one Node process. The simplest. The 4
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# sister agents are just function calls inside rails.
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# Requires sister-agent to be built under
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# ./sister-agent/dist/.
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#
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# 2. http — rails calls each sister-agent over HTTP. The sister
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# agents run as separate daemons (potentially on separate
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# machines/containers). Production topology.
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#
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# 3. mock — no LLM, no files, no push. Just exercises the FSM.
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#
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# Set via RAILS_TRANSPORT globally, or per-stage via RAILS_TRANSPORT_PLAN etc.
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RAILS_TRANSPORT=in-process
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# For http mode — each sister-agent daemon's HTTP endpoint:
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# SISTER_ENDPOINT_PLAN=http://harang-lxc:18801
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# SISTER_ENDPOINT_IMPLEMENT=http://narang-lxc:18801
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# SISTER_ENDPOINT_REVIEW=http://darang-lxc:18801
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# SISTER_ENDPOINT_DEPLOY=http://erang-lxc:18801
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# Loopback URL that sister-agent uses to report sub-task events back to rails.
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# Usually the same as your rails HTTP URL as seen from the sister.
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RAILS_API_URL=http://127.0.0.1:18800
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# For in-process mode, optional override of where to load the compiled
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# sister-agent core module from. Defaults to ./sister-agent/dist/core.js
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# SISTER_AGENT_CORE_PATH=/app/sister-agent/dist/core.js
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# Where sister-agent writes per-pipeline workspaces on disk.
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# SISTER_WORKSPACE_DIR=/home/you/rails-projects
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# ==== 4. OPTIONAL — Gitea auto-push ===================================
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#
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# When enabled, each pipeline run auto-creates a public repo and pushes its
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# workspace to Gitea, giving you a shareable URL for the generated files.
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# Leave GITEA_TOKEN empty to skip the push step entirely.
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# GITEA_BASE_URL=https://git.example.com
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# GITEA_ORG=my-org
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# GITEA_TOKEN=
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# GIT_USER_NAME=rails-agent
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# GIT_USER_EMAIL=rails@example.com
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# GIT_PUSH_ENABLED=true # force on/off; default is auto (on iff GITEA_TOKEN set)
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# ==== 5. OPTIONAL — Gitea webhook receiver ============================
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# GITEA_WEBHOOK_SECRET=
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# ──────────────────────────────────────────────────────────────────────
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# Discord integration is NOT handled inside rails. The hanarang 4-sister
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# deployment uses OpenClaw's built-in Discord gateway, and the slash
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# command (`/hanarang_rails ...`) is exposed via an OpenClaw skill whose
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# SKILL.md frontmatter has `user-invocable: true`. The skill's handler
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# script POSTs to rails HTTP API just like any other caller.
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#
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# See ~/.openclaw/skills/hanarang-rails/SKILL.md for the wiring.
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# ──────────────────────────────────────────────────────────────────────
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