This commit is contained in:
toom1996
2026-09-17 00:38:01 +08:00
parent 7dd3fda73c
commit 6c31b18e0f
10 changed files with 389 additions and 77 deletions

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#!/usr/bin/env bash
#
# setup_pg_docker.sh — 用 Docker 起 PostgreSQL 16 + pgvector 本地开发环境
#
# 用法(在 WSL 终端里,不要用 Windows 的 CMD/PowerShell):
# sudo bash setup_pg_docker.sh
#
# 行为:
# 1) 先卸载上次用 apt 装失败的 PostgreSQL 残留(清理 pgdg 源 / 坏 key / 包),幂等。
# 2) 确保 docker 可用(缺失则尝试 apt 装 docker.io 并起守护进程;仍不行则给出 Docker Desktop 指引)。
# 3) docker compose up -d 起 pgvector 容器(幂等:已存在则不变)。
# 4) 等就绪后验证 version() 与 vector 扩展版本。
#
# 仅用于本地开发 / 迁移验证。生产请改强密码并单独评审配置。
#
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
COMPOSE_FILE="$SCRIPT_DIR/docker-compose.yml"
DB_USER=fashion
DB_PASS="fashion_dev_2026"
DB_NAME=fashion
log() { echo -e "\033[32m==>\033[0m $*"; }
warn() { echo -e "\033[33m⚠️ \033[0m $*"; }
if [ "$(id -u)" -ne 0 ]; then
echo "请以 root 运行: sudo bash $0"; exit 1
fi
# ---------- 1) 卸载上次 apt 版 PostgreSQL 的残留 ----------
if command -v psql >/dev/null 2>&1 || [ -f /etc/apt/sources.list.d/pgdg.list ]; then
log "卸载上次 apt 版 PostgreSQL 残留(清理失败残留,幂等)"
pg_ctlcluster "$(ls /etc/postgresql 2>/dev/null | head -1)" main stop 2>/dev/null \
|| service postgresql stop 2>/dev/null \
|| true
apt-get remove --purge -y 'postgresql-*' 2>/dev/null || true
rm -f /etc/apt/sources.list.d/pgdg.list
rm -f /usr/share/postgresql-common/pgdg/apt.postgresql.org.asc \
/usr/share/postgresql-common/pgdg/apt.postgresql.org.gpg
apt-get autoremove -y 2>/dev/null || true
log "apt 版 PostgreSQL 残留已清理"
else
log "未发现 apt 版 PostgreSQL,跳过卸载"
fi
# ---------- 2) 确保 docker 可用 ----------
if command -v docker >/dev/null 2>&1 && docker info >/dev/null 2>&1; then
log "docker 可用"
else
if command -v docker >/dev/null 2>&1; then
warn "docker 已安装但守护进程未起,尝试启动"
service docker start 2>/dev/null || (dockerd >/var/log/docker.log 2>&1 &) || true
sleep 3
fi
if ! command -v docker >/dev/null 2>&1 || ! docker info >/dev/null 2>&1; then
warn "docker 不可用,尝试 apt 安装 docker.io"
apt-get update -y
if apt-get install -y docker.io; then
service docker start 2>/dev/null || (dockerd >/var/log/docker.log 2>&1 &) || true
sleep 3
fi
fi
if ! command -v docker >/dev/null 2>&1 || ! docker info >/dev/null 2>&1; then
echo "❌ 仍无法使用 docker。请二选一:"
echo " A) 装 Docker Desktop (Windows),安装时勾选 'Use WSL 2',"
echo " 装好后在其 Settings > Resources > WSL Integration 里启用你的 WSL 发行版,重启 WSL 后重试;"
echo " B) 或在本 WSL 内: sudo apt-get install -y docker.io && sudo service docker start"
exit 1
fi
fi
# 选 docker compose 命令(v2 插件优先,回退 v1)
if docker compose version >/dev/null 2>&1; then
DC=(docker compose)
elif command -v docker-compose >/dev/null 2>&1; then
DC=(docker-compose)
else
echo "❌ 未找到 docker compose / docker-compose,请安装 Docker Compose 后重试"; exit 1
fi
# ---------- 2.5) 配置国内镜像源加速(避免直连 Docker Hub 慢) ----------
MIRRORS='["https://docker.m.daocloud.io","https://hub-mirror.c.163.com","https://mirror.baidubce.com"]'
if docker context ls 2>/dev/null | grep -qw "desktop-linux" || [[ "${DOCKER_HOST:-}" == *"npipe"* ]]; then
# Docker Desktop(守护进程在 Windows 侧):WSL 内的 daemon.json 不生效,必须在 GUI 配
warn "检测到 Docker Desktop:WSL 内的 daemon.json 不影响 Windows 侧守护进程。"
echo " 请在 Windows 的 Docker Desktop > Settings > Docker Engine 的 JSON 中加入:"
echo " \"registry-mirrors\": $MIRRORS"
echo " 然后点 Apply & Restart;重启后再直接跑: docker compose -f $COMPOSE_FILE up -d"
echo " (本脚本不再自动拉起,避免与 Docker Desktop 守护进程冲突)"
exit 1
elif ! docker info 2>/dev/null | grep -q "docker.m.daocloud.io"; then
# docker.io 跑在 WSL 内:直接写 daemon.json 并重启守护进程
if [ ! -f /etc/docker/daemon.json ] || ! grep -q registry-mirrors /etc/docker/daemon.json; then
log "配置国内镜像源加速(写入 /etc/docker/daemon.json 并重启 docker 守护进程)"
cat > /etc/docker/daemon.json <<JSON
{
"registry-mirrors": $MIRRORS
}
JSON
service docker restart 2>/dev/null || systemctl restart docker 2>/dev/null \
|| (dockerd --registry-mirror=https://docker.m.daocloud.io >/var/log/docker.log 2>&1 &) || true
sleep 3
else
log "daemon.json 已含 registry-mirrors,跳过"
fi
# 等守护进程重新就绪
for i in $(seq 1 15); do
docker info >/dev/null 2>&1 && break
sleep 1
done
fi
# ---------- 3) 起容器(幂等) ----------
log "启动 PostgreSQL + pgvector 容器(docker compose up -d)"
"${DC[@]}" -f "$COMPOSE_FILE" up -d
# ---------- 4) 等就绪 ----------
log "等待数据库就绪(最多 30s)"
ready=0
for i in $(seq 1 30); do
if docker exec pgvector pg_isready -U "$DB_USER" -d "$DB_NAME" >/dev/null 2>&1; then
ready=1; break
fi
sleep 1
done
if [ "$ready" -ne 1 ]; then
echo "❌ 数据库未就绪,查看日志: docker logs pgvector"; exit 1
fi
# ---------- 5) 验证 ----------
log "验证安装"
docker exec -i pgvector psql -U "$DB_USER" -d "$DB_NAME" \
-c "SELECT version();" \
-c "SELECT extname, extversion FROM pg_extension WHERE extname='vector';"
cat <<EOF
✅ PostgreSQL 16 + pgvector 就绪(Docker,容器名 pgvector)
连接串 : postgres://$DB_USER:$DB_PASS@localhost:5432/$DB_NAME
命令行 : docker exec -it pgvector psql -U $DB_USER -d $DB_NAME
启停 : docker compose -f $COMPOSE_FILE up -d / stop
清数据 : docker compose -f $COMPOSE_FILE down -v
(可选)CLIP / DINOv2 embedding 表示例:
CREATE TABLE image_embedding (
id BIGSERIAL PRIMARY KEY,
image_uid VARCHAR(32) NOT NULL, -- 对应你现有的 hashid uid
kind SMALLINT NOT NULL, -- 0=runway 1=street
embedding vector(512), -- 512 维特征(CLIP ViT-B/32 或 DINOv2)
created_at INTEGER NOT NULL DEFAULT 0
);
CREATE INDEX image_embedding_vec_idx
ON image_embedding USING hnsw (embedding vector_cosine_ops);
-- 去重查询:找最近邻
SELECT image_uid, 1 - (embedding <=> '[...]'::vector) AS sim
FROM image_embedding
WHERE kind = 0
ORDER BY embedding <=> '[...]'::vector
LIMIT 20;
EOF