61 lines
2.5 KiB
Bash
Executable File
61 lines
2.5 KiB
Bash
Executable File
#!/usr/bin/env bash
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# Cyrene v2 本地一键开发启动：PG+pgvector → llama.cpp embedding → 前端 build → cyrene
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# 用法：bash scripts/dev-up.sh （在仓库根目录；需 docker + go + node）
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set -euo pipefail
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REPO="$(cd "$(dirname "$0")/.." && pwd)"
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MODEL_DIR="$HOME/.models"
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LLAMA_DIR="$HOME/apps/llama.cpp"
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APP_NAME="cyrene"
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APP_BIN="$HOME/apps/cyrene/$APP_NAME"
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EMB_MODEL="$MODEL_DIR/Qwen3-Embedding-0.6B-Q8_0.gguf"
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EMB_PORT=11434
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GW_PORT=10080
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cd "$REPO"
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echo "==> [1/4] PostgreSQL + pgvector (docker)"
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if command -v docker >/dev/null 2>&1; then
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docker compose -f docker-compose.dev.yml up -d pg || echo " (docker compose up pg 失败，忽略继续——若未用 PG 可跳过)"
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else
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echo " (未检测到 docker；若用 SQLite 默认可不启动 PG)"
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fi
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echo "==> [2/4] llama.cpp embedding (Qwen3-Embedding，Vulkan)"
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if [ -x "$LLAMA_DIR/llama-server" ] && [ -f "$EMB_MODEL" ]; then
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# 已在跑则跳过
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if ! curl -s --max-time 2 "http://127.0.0.1:$EMB_PORT/health" >/dev/null 2>&1; then
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(cd "$LLAMA_DIR" && nohup ./llama-server -m "$EMB_MODEL" --embedding -ngl 99 --host 127.0.0.1 --port "$EMB_PORT" > "$HOME/cy-emb.log" 2>&1 &)
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echo " llama-server 已启动: http://127.0.0.1:$EMB_PORT"
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else
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echo " llama-server 已在运行 (: $EMB_PORT)，跳过"
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fi
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else
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echo " (未找到 $LLAMA_DIR/llama-server 或模型 $EMB_MODEL；跳过。"
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echo " llama.cpp 放 ~/apps/llama.cpp，GGUF 放 ~/.models/)"
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fi
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echo "==> [3/4] 前端构建 (go:embed 需要 dist)"
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if [ -d frontend/web ]; then
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(cd frontend/web && npm ci >/dev/null 2>&1 && npm run build >/dev/null 2>&1) || echo " (前端 build 跳过/失败——若已存在 dist 可忽略)"
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fi
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echo "==> [4/4] 构建并启动 cyrene"
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if [ ! -f "$APP_BIN" ]; then
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mkdir -p "$HOME/apps/cyrene"
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echo " go build -> $APP_BIN"
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go build -ldflags="-s -w" -trimpath -o "$APP_BIN" ./cmd/cyrene
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fi
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if ! curl -s --max-time 2 "http://127.0.0.1:$GW_PORT/api/v1/health" >/dev/null 2>&1; then
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(cd "$REPO" && nohup "$APP_BIN" > "$HOME/cy.log" 2>&1 &)
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echo " cyrene 已启动: http://localhost:$GW_PORT (日志 $HOME/cy.log)"
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else
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echo " cyrene 已在运行 (: $GW_PORT)，跳过"
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fi
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echo
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echo "完成。访问 http://localhost:$GW_PORT （.env 的 PORT 覆盖此值）"
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echo " · LLM: .env 的 LLM_PROVIDER / ANTHROPIC_* 或 LLM_*"
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echo " · 向量: EMBEDDING_API_URL=http://127.0.0.1:$EMB_PORT/v1/embeddings EMBEDDING_MODEL=Qwen3-Embedding-0.6B"
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echo " · 停止: pkill -f llama-server ; pkill -f $APP_NAME"
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