arcrun — AI workflow execution engine (clean history)
Self-hosted 開源：WASM 零件 + recipe + cypher-executor，跑在你自己的 Cloudflare。 此為重建的乾淨歷史起點（移除曾誤 commit 的 GCP SA 金鑰，舊歷史保留在 richblack/arcrun 與本地 backup 分支）。含： - acr init --self-hosted installer（建 KV/R2 + codeload 拉預編譯 wasm + wrangler deploy + seed recipe） - recipe push 把關（資料外流提醒 + 打通檢查） - 19 個正當零件預編譯 wasm（claude_api/km_writer/kbdb_upsert_block 排除：違反 DECISIONS §1） - CLI / cypher-executor / registry / 完整 SDD Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
uncle6me-web
Executable
+107
@@ -0,0 +1,107 @@
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#!/usr/bin/env bash
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# Deploy all logic components as individual CF Workers
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# Each component gets: {name}.arcrun.dev
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#
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# Usage: bash scripts/deploy-logic-components.sh [component_name]
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# (no arg = deploy all logic components)
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set -e
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SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
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REPO_ROOT="$(cd "$SCRIPT_DIR/.." && pwd)"
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COMPONENTS_DIR="$REPO_ROOT/registry/components"
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TEMPLATE_DIR="$REPO_ROOT/component-worker-template"
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BUILD_DIR="$REPO_ROOT/.component-builds"
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# Logic components only (no_network_syscall: true)
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LOGIC_COMPONENTS=(
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if_control
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switch
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foreach_control
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filter
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merge
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try_catch
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wait
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set
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array_ops
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string_ops
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number_ops
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date_ops
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validate_json
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ai_transform_compile
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ai_transform_run
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)
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# Filter to single component if arg provided
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if [ -n "$1" ]; then
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LOGIC_COMPONENTS=("$1")
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fi
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mkdir -p "$BUILD_DIR"
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deploy_component() {
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local name="$1"
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local worker_name="arcrun-${name//_/-}" # e.g. string_ops → arcrun-string-ops
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local route_name="${name//_/-}" # e.g. string_ops → string-ops
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local wasm_file="$COMPONENTS_DIR/$name/${name}.wasm"
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local build_target="$BUILD_DIR/$name"
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echo ""
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echo "── $name ──────────────────────────────────"
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# 1. Compile WASM if not present
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if [ ! -f "$wasm_file" ]; then
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echo " Compiling WASM..."
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(cd "$COMPONENTS_DIR/$name" && tinygo build -o "${name}.wasm" -target=wasi ./...)
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fi
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# 2. Create per-component build dir
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mkdir -p "$build_target/src"
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# 3. Copy template source
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cp "$TEMPLATE_DIR/src/index.ts" "$build_target/src/index.ts"
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cp "$TEMPLATE_DIR/package.json" "$build_target/package.json"
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cp "$TEMPLATE_DIR/tsconfig.json" "$build_target/tsconfig.json"
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# 4. Copy WASM into build dir as component.wasm
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cp "$wasm_file" "$build_target/component.wasm"
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# 5. Generate wrangler.toml
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cat > "$build_target/wrangler.toml" << TOML
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name = "$worker_name"
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main = "src/index.ts"
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compatibility_date = "2025-02-19"
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[vars]
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COMPONENT_ID = "$name"
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[[routes]]
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pattern = "${route_name}.arcrun.dev/*"
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zone_name = "arcrun.dev"
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TOML
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# 6. Install deps (reuse node_modules if already installed)
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if [ ! -d "$build_target/node_modules" ]; then
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echo " Installing deps..."
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(cd "$build_target" && npm install --legacy-peer-deps --silent)
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fi
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# 7. Deploy
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echo " Deploying to $worker_name ($route_name.arcrun.dev)..."
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(cd "$build_target" && npx wrangler deploy)
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echo " ✓ $name → https://${route_name}.arcrun.dev"
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}
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echo "Deploying ${#LOGIC_COMPONENTS[@]} logic component(s)..."
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for name in "${LOGIC_COMPONENTS[@]}"; do
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if [ ! -d "$COMPONENTS_DIR/$name" ]; then
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echo " ✗ $name: directory not found, skipping"
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continue
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fi
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deploy_component "$name"
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done
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echo ""
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echo "Done."
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@@ -0,0 +1,216 @@
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#!/usr/bin/env bash
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# scripts/local-deploy.sh — 本機 deploy 取代 GH Actions
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#
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# 對應 LI SDD M5.6 / 2026-05-16 leo GH Actions 被停用後的 fallback
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#
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# 用法：
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# bash scripts/local-deploy.sh # 偵測 git diff，deploy 改到的 worker
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# bash scripts/local-deploy.sh --all # 全部 worker deploy
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# bash scripts/local-deploy.sh cypher-executor registry # 指定 worker
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# bash scripts/local-deploy.sh --base HEAD~3 # 改 diff base（預設 HEAD~1）
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# bash scripts/local-deploy.sh --dry-run # 只 list 不 deploy
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#
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# 邏輯模擬 .github/workflows/deploy.yml discover job
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# - 掃所有 wrangler.toml 目錄
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# - git diff base..HEAD 找改動
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# - 對改到的 worker 跑 pnpm exec wrangler deploy
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# - 若改到 registry/components/{name}/，連動 deploy .component-builds/{name}/
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#
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# 要求：
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# - 已 wrangler login（pnpm exec wrangler whoami 確認）
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# - 在 arcrun/ 根目錄執行
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set -euo pipefail
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ARCRUN_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
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cd "$ARCRUN_ROOT"
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# ── Parse args ────────────────────────────────────────────────────────────────
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BASE_REF="HEAD~1"
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DRY_RUN=false
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DEPLOY_ALL=false
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EXPLICIT_TARGETS=()
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while [[ $# -gt 0 ]]; do
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case "$1" in
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--all) DEPLOY_ALL=true; shift ;;
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--base) BASE_REF="$2"; shift 2 ;;
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--dry-run) DRY_RUN=true; shift ;;
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-h|--help)
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sed -n '2,20p' "$0"
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exit 0
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;;
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*) EXPLICIT_TARGETS+=("$1"); shift ;;
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esac
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done
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# ── 1. 列所有可 deploy 的 worker 目錄 ─────────────────────────────────────────
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# 排除 node_modules、wrangler.test.toml、Pages 專案
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echo "🔍 Scanning worker directories..."
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mapfile -t ALL_DIRS < <(
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find . -type f -name 'wrangler.toml' \
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-not -path '*/node_modules/*' \
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-not -name 'wrangler.test.toml' \
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| while read f; do
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if grep -q 'pages_build_output_dir' "$f"; then continue; fi
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dirname "$f"
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done \
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| sort -u \
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| sed 's|^\./||'
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)
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echo "Found ${#ALL_DIRS[@]} worker dirs"
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# ── 2. 決定 targets ──────────────────────────────────────────────────────────
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declare -a TARGETS=()
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if [[ ${#EXPLICIT_TARGETS[@]} -gt 0 ]]; then
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echo "🎯 Explicit targets: ${EXPLICIT_TARGETS[*]}"
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for req in "${EXPLICIT_TARGETS[@]}"; do
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matched=false
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for d in "${ALL_DIRS[@]}"; do
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if [[ "$d" == "$req" || "$(basename "$d")" == "$req" ]]; then
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TARGETS+=("$d")
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matched=true
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fi
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done
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if [[ "$matched" == false ]]; then
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echo "⚠️ '$req' not found in worker list (跳過)"
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fi
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done
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elif [[ "$DEPLOY_ALL" == true ]]; then
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echo "🎯 Mode: deploy all"
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TARGETS=("${ALL_DIRS[@]}")
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else
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# git diff 過濾
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echo "🎯 Mode: git diff $BASE_REF..HEAD"
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if ! git rev-parse "$BASE_REF" >/dev/null 2>&1; then
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echo "❌ base ref '$BASE_REF' not found. 改用 --all 或 --base <valid-ref>"
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exit 1
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fi
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mapfile -t CHANGED < <(git diff --name-only "$BASE_REF" HEAD)
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echo "Changed files (${#CHANGED[@]}):"
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for f in "${CHANGED[@]}"; do echo " $f"; done
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for d in "${ALL_DIRS[@]}"; do
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hit=0
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for f in "${CHANGED[@]}"; do
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if [[ "$f" == "$d"/* ]]; then hit=1; break; fi
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done
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# 連動：改 registry/components/{name}/ 也要 deploy .component-builds/{name}/
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if [[ $hit -eq 0 && "$d" == .component-builds/* ]]; then
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name="${d#.component-builds/}"
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for f in "${CHANGED[@]}"; do
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if [[ "$f" == "registry/components/$name"/* ]]; then hit=1; break; fi
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done
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fi
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if [[ $hit -eq 1 ]]; then TARGETS+=("$d"); fi
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done
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fi
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if [[ ${#TARGETS[@]} -eq 0 ]]; then
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echo "✨ Nothing to deploy. All up-to-date."
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exit 0
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fi
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# ── 3. 分 tier (component builds 先，orchestration 後) ────────────────────────
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declare -a TIER1=() TIER2=()
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for t in "${TARGETS[@]}"; do
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if [[ "$t" == .component-builds/* ]]; then
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TIER1+=("$t")
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else
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TIER2+=("$t")
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fi
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done
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echo ""
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echo "📦 Deploy plan:"
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echo " Tier 1 (components, ${#TIER1[@]}):"
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for t in "${TIER1[@]}"; do echo " - $t"; done
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echo " Tier 2 (orchestration, ${#TIER2[@]}):"
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for t in "${TIER2[@]}"; do echo " - $t"; done
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echo ""
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if [[ "$DRY_RUN" == true ]]; then
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echo "(dry-run，不實際 deploy)"
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exit 0
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fi
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# ── 4. wrangler whoami 健康檢查 ──────────────────────────────────────────────
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# 隨便挑一個 worker dir 跑 whoami（pnpm 需要在 npm package 內）
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SAMPLE_DIR=""
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for d in "${TARGETS[@]}"; do
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if [[ -f "$d/package.json" ]]; then SAMPLE_DIR="$d"; break; fi
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done
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if [[ -z "$SAMPLE_DIR" ]]; then
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echo "❌ 找不到任何 target 有 package.json (wrangler whoami 需要)"
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exit 1
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fi
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echo "🔑 wrangler whoami:"
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(cd "$SAMPLE_DIR" && pnpm exec wrangler whoami 2>&1 | grep -E "logged in|email" | head -2) || {
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echo "❌ wrangler 沒登入。先跑：cd $SAMPLE_DIR && pnpm exec wrangler login"
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exit 1
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}
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echo ""
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# ── 5. 依序 deploy ──────────────────────────────────────────────────────────
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deploy_one() {
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local dir="$1"
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echo ""
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echo "▶ Deploying $dir ..."
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pushd "$dir" >/dev/null
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# 若是 component build，先確認有 component.wasm (從 registry build 出來)
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if [[ "$dir" == .component-builds/* ]]; then
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name="${dir#.component-builds/}"
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if [[ ! -f "component.wasm" ]] && [[ -d "../../registry/components/$name" ]]; then
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echo " ⚙️ rebuild WASM from registry/components/$name ..."
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(cd "../../registry/components/$name" && tinygo build -target=wasi -o "$name.wasm" main.go && cp "$name.wasm" "../../../.component-builds/$name/component.wasm") || {
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echo " ❌ TinyGo build failed for $name"
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popd >/dev/null
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return 1
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}
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fi
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fi
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# pnpm install 若沒 node_modules（首次）
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if [[ ! -d "node_modules" ]] && [[ -f "package.json" ]]; then
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echo " 📥 pnpm install (first time)..."
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pnpm install --frozen-lockfile 2>&1 | tail -3
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fi
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if pnpm exec wrangler deploy 2>&1 | tail -4; then
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echo " ✅ Done"
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else
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echo " ❌ Failed"
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popd >/dev/null
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return 1
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fi
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popd >/dev/null
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}
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FAILED=()
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for d in "${TIER1[@]}"; do
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deploy_one "$d" || FAILED+=("$d")
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done
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for d in "${TIER2[@]}"; do
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deploy_one "$d" || FAILED+=("$d")
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done
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echo ""
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echo "════════════════════════════════════════════════════════════"
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if [[ ${#FAILED[@]} -eq 0 ]]; then
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echo "✅ All ${#TARGETS[@]} workers deployed successfully"
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else
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echo "⚠️ ${#FAILED[@]}/${#TARGETS[@]} workers failed:"
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for f in "${FAILED[@]}"; do echo " ❌ $f"; done
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exit 1
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fi
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@@ -0,0 +1,234 @@
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#!/usr/bin/env python3
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"""sync-registry-to-kbdb.py — 把 registry/examples + registry/skills 同步進 KBDB
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對應 LI SDD M3.4。examples / skills 在 git 是 source of truth，
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KBDB 是「給 AI 搜尋 / get」的 query-friendly mirror。
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對 KBDB block：
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- examples → type=workflow-example
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content = workflow.yaml 全文
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metadata_json = { description, tags }
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tags_json = [...tags.json]
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page_name = example-{slug} (idempotency key，重複 sync 走 upsert)
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- skills → type=agent-skill
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content = {slug}.md 全文
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page_name = skill-{slug} (idempotency key)
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tags_json = ["agent-skill", "skill:{slug}"]
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執行：
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cd matrix/arcrun
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python3 scripts/sync-registry-to-kbdb.py # 上傳所有
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python3 scripts/sync-registry-to-kbdb.py --dry-run # 只 list 不寫
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需求：
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- mira tools/_kbdb_client.py 風格 (urllib + ak_)
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- ARCRUN_API_KEY 從 .env 或 env var
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- 走 kbdb-*.arcrun.dev 零件 worker endpoints (符合 mira CLAUDE.md §1.7)
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"""
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import argparse
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import json
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import os
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import sys
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import urllib.request
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import urllib.error
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from pathlib import Path
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ARCRUN_ROOT = Path(__file__).resolve().parent.parent
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EXAMPLES_DIR = ARCRUN_ROOT / "registry" / "examples"
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SKILLS_DIR = ARCRUN_ROOT / "registry" / "skills"
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KBDB_UPSERT_URL = "https://kbdb-upsert-block.arcrun.dev/"
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USER_AGENT = "arcrun-registry-sync/1.0"
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USER_ID = "inkstone_platform_registry" # 需符合 KBDB partner namespace prefix（inkstone_*）
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SOURCE = "registry-git-sync"
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def get_api_key() -> str:
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"""從 env var 或 polaris/mira/.env 取 ARCRUN_API_KEY。"""
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key = os.environ.get("ARCRUN_API_KEY", "")
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if key:
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return key
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# fallback：找 polaris/mira/.env（leo 既有約定位置）
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mira_env = ARCRUN_ROOT.parent.parent / "polaris" / "mira" / ".env"
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if mira_env.exists():
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for line in mira_env.read_text(encoding="utf-8").splitlines():
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line = line.strip()
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if line.startswith("ARCRUN_API_KEY="):
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return line.split("=", 1)[1].strip()
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raise SystemExit(
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"ARCRUN_API_KEY 未設定。export ARCRUN_API_KEY=ak_... 或加到 polaris/mira/.env"
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)
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||||
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def kbdb_upsert(api_key: str, payload: dict, dry_run: bool) -> dict:
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"""POST kbdb-upsert-block.arcrun.dev — page_name 當 idempotency key"""
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if dry_run:
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return {"dry_run": True, "would_upsert": payload.get("page_name")}
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data = json.dumps(payload, ensure_ascii=False).encode("utf-8")
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req = urllib.request.Request(
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KBDB_UPSERT_URL,
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data=data,
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headers={
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"Content-Type": "application/json",
|
||||
"User-Agent": USER_AGENT,
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},
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method="POST",
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)
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try:
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with urllib.request.urlopen(req, timeout=30) as resp:
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return json.loads(resp.read().decode("utf-8"))
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||||
except urllib.error.HTTPError as e:
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body = e.read().decode("utf-8", errors="replace")
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return {"error": f"HTTP {e.code}: {body[:200]}"}
|
||||
|
||||
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def sync_examples(api_key: str, dry_run: bool) -> tuple[int, int]:
|
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"""同步 registry/examples/{slug}/ 進 KBDB"""
|
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if not EXAMPLES_DIR.exists():
|
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print(f"⚠️ {EXAMPLES_DIR} 不存在，跳過 examples 同步")
|
||||
return 0, 0
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||||
|
||||
ok, fail = 0, 0
|
||||
for slug_dir in sorted(EXAMPLES_DIR.iterdir()):
|
||||
if not slug_dir.is_dir():
|
||||
continue
|
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slug = slug_dir.name
|
||||
workflow_yaml = slug_dir / "workflow.yaml"
|
||||
description_md = slug_dir / "description.md"
|
||||
tags_json = slug_dir / "tags.json"
|
||||
|
||||
if not workflow_yaml.exists():
|
||||
print(f" ⚠️ {slug}: 缺 workflow.yaml，跳過")
|
||||
continue
|
||||
|
||||
yaml_content = workflow_yaml.read_text(encoding="utf-8")
|
||||
description = (
|
||||
description_md.read_text(encoding="utf-8") if description_md.exists() else ""
|
||||
)
|
||||
tags = (
|
||||
json.loads(tags_json.read_text(encoding="utf-8")) if tags_json.exists() else []
|
||||
)
|
||||
|
||||
# content = workflow YAML（讓 AI semantic search 命中 YAML 內容）
|
||||
# metadata_json = description + tags 結構化
|
||||
payload = {
|
||||
"api_key": api_key,
|
||||
"type": "workflow-example",
|
||||
"page_name": f"example-{slug}",
|
||||
"source": SOURCE,
|
||||
"user_id": USER_ID,
|
||||
"content": yaml_content,
|
||||
"metadata_json": json.dumps(
|
||||
{
|
||||
"slug": slug,
|
||||
"description_md": description,
|
||||
"tags": tags,
|
||||
},
|
||||
ensure_ascii=False,
|
||||
),
|
||||
"tags_json": json.dumps(
|
||||
["workflow-example", f"example:{slug}", *tags],
|
||||
ensure_ascii=False,
|
||||
),
|
||||
}
|
||||
|
||||
result = kbdb_upsert(api_key, payload, dry_run)
|
||||
if "error" in result:
|
||||
print(f" ❌ {slug}: {result['error']}")
|
||||
fail += 1
|
||||
else:
|
||||
action = result.get("data", {}).get("action", "?") if isinstance(result.get("data"), dict) else "?"
|
||||
print(f" ✅ {slug} → {action}")
|
||||
ok += 1
|
||||
|
||||
return ok, fail
|
||||
|
||||
|
||||
def sync_skills(api_key: str, dry_run: bool) -> tuple[int, int]:
|
||||
"""同步 registry/skills/*.md 進 KBDB"""
|
||||
if not SKILLS_DIR.exists():
|
||||
print(f"⚠️ {SKILLS_DIR} 不存在，跳過 skills 同步")
|
||||
return 0, 0
|
||||
|
||||
ok, fail = 0, 0
|
||||
for md_file in sorted(SKILLS_DIR.glob("*.md")):
|
||||
if md_file.name == "README.md":
|
||||
continue
|
||||
slug = md_file.stem
|
||||
content = md_file.read_text(encoding="utf-8")
|
||||
|
||||
# 簡單抓首行 # X 當 title
|
||||
title = slug
|
||||
for line in content.splitlines():
|
||||
line = line.strip()
|
||||
if line.startswith("# "):
|
||||
title = line[2:].strip()
|
||||
break
|
||||
|
||||
payload = {
|
||||
"api_key": api_key,
|
||||
"type": "agent-skill",
|
||||
"page_name": f"skill-{slug}",
|
||||
"source": SOURCE,
|
||||
"user_id": USER_ID,
|
||||
"content": content,
|
||||
"metadata_json": json.dumps(
|
||||
{"slug": slug, "title": title},
|
||||
ensure_ascii=False,
|
||||
),
|
||||
"tags_json": json.dumps(
|
||||
["agent-skill", f"skill:{slug}"],
|
||||
ensure_ascii=False,
|
||||
),
|
||||
}
|
||||
|
||||
result = kbdb_upsert(api_key, payload, dry_run)
|
||||
if "error" in result:
|
||||
print(f" ❌ {slug}: {result['error']}")
|
||||
fail += 1
|
||||
else:
|
||||
action = result.get("data", {}).get("action", "?") if isinstance(result.get("data"), dict) else "?"
|
||||
print(f" ✅ {slug} → {action}")
|
||||
ok += 1
|
||||
|
||||
return ok, fail
|
||||
|
||||
|
||||
def main():
|
||||
p = argparse.ArgumentParser(description="Sync registry/examples + skills → KBDB")
|
||||
p.add_argument("--dry-run", action="store_true", help="只 list 不寫")
|
||||
p.add_argument("--examples-only", action="store_true")
|
||||
p.add_argument("--skills-only", action="store_true")
|
||||
args = p.parse_args()
|
||||
|
||||
api_key = get_api_key()
|
||||
print(f"🔑 api_key: {api_key[:12]}... (len={len(api_key)})")
|
||||
print(f"📂 root: {ARCRUN_ROOT}")
|
||||
if args.dry_run:
|
||||
print("(dry-run，不實際寫 KBDB)")
|
||||
print()
|
||||
|
||||
examples_ok = examples_fail = 0
|
||||
skills_ok = skills_fail = 0
|
||||
|
||||
if not args.skills_only:
|
||||
print("📋 Syncing examples → type=workflow-example ...")
|
||||
examples_ok, examples_fail = sync_examples(api_key, args.dry_run)
|
||||
print(f" examples: {examples_ok} ok / {examples_fail} fail\n")
|
||||
|
||||
if not args.examples_only:
|
||||
print("📋 Syncing skills → type=agent-skill ...")
|
||||
skills_ok, skills_fail = sync_skills(api_key, args.dry_run)
|
||||
print(f" skills: {skills_ok} ok / {skills_fail} fail\n")
|
||||
|
||||
total_fail = examples_fail + skills_fail
|
||||
if total_fail > 0:
|
||||
print(f"⚠️ 共 {total_fail} 個項目失敗")
|
||||
sys.exit(1)
|
||||
print(f"✅ Done. examples={examples_ok}, skills={skills_ok}")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Reference in New Issue
Block a user