feat(deploy): add production release workflow

This commit is contained in:
sinohqb 2026-08-07 15:53:36 +08:00
parent 62485684ca
commit 855455c0b4
7 changed files with 322 additions and 3 deletions

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@ -44,4 +44,7 @@ RUN mkdir -p ./data/scenarios ./data/reports
EXPOSE 8000 EXPOSE 8000
HEALTHCHECK --interval=30s --timeout=5s --retries=3 \ HEALTHCHECK --interval=30s --timeout=5s --retries=3 \
CMD curl -f http://localhost:8000/api/health || exit 1 CMD curl -f http://localhost:8000/api/health || exit 1
CMD ["sh", "-c", "python -c 'from agenteval.storage.db import init_db; init_db()' && alembic stamp head && agenteval server start --host 0.0.0.0 --port 8000"] COPY scripts/production-entrypoint.sh ./scripts/production-entrypoint.sh
RUN chmod +x ./scripts/production-entrypoint.sh
CMD ["./scripts/production-entrypoint.sh"]

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@ -11,7 +11,8 @@ services:
ports: ports:
- "8002:8000" - "8002:8000"
env_file: env_file:
- .env - path: .env
required: false
volumes: volumes:
- agenteval_data:/app/data - agenteval_data:/app/data
restart: unless-stopped restart: unless-stopped

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@ -23,6 +23,7 @@ Docker 部署是推荐的生产环境部署方式,提供以下优势:
**部署文档** **部署文档**
- [t480 服务器部署指南](t480-v1.0.md) - 针对 t480 测试服务器的具体部署步骤 - [t480 服务器部署指南](t480-v1.0.md) - 针对 t480 测试服务器的具体部署步骤
- [volcengine-102 正式线部署指南](volcengine-102-v1.0.md) - 版本化发布、备份、迁移、健康检查与回滚
### 2.2 裸机部署 ### 2.2 裸机部署

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@ -0,0 +1,83 @@
# volcengine-102 正式线部署指南
**状态**:部署流程已实现;正式主机与密钥仍需由运维环境注入。
**Compose**`deploy/volcengine-102/docker-compose.yml`
**入口脚本**`scripts/deploy-volcengine-102.sh`
## 1. 部署边界
正式线使用两个容器:`agenteval`(端口 `8002`)和 `openclaw-eval`(端口 `28789`。SQLite 数据保存在 Docker named volume 中;生产 `.env` 不从代码仓库同步,必须预先放在远端:
```text
/opt/agenteval/deploy/volcengine-102/.env
```
环境变量模板见 [`deploy/volcengine-102/.env.example`](../../deploy/volcengine-102/.env.example)。正式域名、API Key、OpenClaw token 和 webhook secret 不得写入 Git。
## 2. 首次准备
在正式主机完成 Docker/Compose、SSH 和镜像仓库访问配置,然后建立远端目录并准备 `.env`。本地只需要配置 SSH 别名或地址:
```bash
export AGENTEVAL_PROD_HOST=volcengine-102
export AGENTEVAL_PROD_DIR=/opt/agenteval
export AGENTEVAL_PROD_BACKUP_DIR=/var/backups/agenteval
```
首次正式发布前必须确认:
- 生产 `.env` 已填写非空 `AGENTEVAL_API_KEY`、`AGENTEVAL_SECRET_KEY` 和 OpenClaw token。
- 生产域名已加入 `AGENTEVAL_ALLOWED_ORIGINS`
- 正式主机可拉取 `registry.solahqb22.cn/sola/openclaw:latest`
- Docker named volume 和备份目录具备写权限。
## 3. 发布流程
发布必须基于已提交的 Git 版本;脚本会拒绝存在 tracked 未提交修改的工作区。推荐使用版本号加 commit 作为不可变镜像标签:
```bash
scripts/deploy-volcengine-102.sh --dry-run --tag 0.8.0-6248568
scripts/deploy-volcengine-102.sh --tag 0.8.0-6248568
```
脚本依次执行SSH 检查 → 版本读取 → 远端 `.env` 检查 → 同步已提交源代码 → 备份数据 volume → 远端构建带版本元数据的镜像 → 启动双容器 → 等待健康接口 → 校验版本/commit → 鉴权 API 冒烟。
后端启动入口 [`scripts/production-entrypoint.sh`](../../scripts/production-entrypoint.sh) 的规则是:
- 全新数据库:创建初始 SQLModel schema记录当前 Alembic 基线,再执行后续迁移。
- 旧版无 `alembic_version` 的数据库:保留旧数据,记录基线,再执行后续迁移。
- 已有 Alembic 版本的数据库:只执行 `alembic upgrade head`
## 4. 回滚
回滚只切换应用镜像,不自动降级数据库:
```bash
scripts/deploy-volcengine-102.sh --rollback 0.8.0-previous
```
每次发布和回滚前都会在远端备份 named volume 到 `AGENTEVAL_PROD_BACKUP_DIR`。如果某个版本包含不可逆数据迁移,应先停止服务、恢复匹配的数据备份,再启动旧镜像;不得只回滚代码而忽略数据库版本。
## 5. 发布后检查
```bash
ssh "$AGENTEVAL_PROD_HOST" \
'cd /opt/agenteval && docker compose -f deploy/volcengine-102/docker-compose.yml ps'
```
至少验证:`/api/health`、`/api/targets`、`/api/scenarios`、`/api/runs`、`/api/campaigns`、`/api/intelligent-evals`、`/api/model-configs` 和 `/openclaw/`。发现异常时保留部署输出、容器日志和备份文件,再执行回滚判断。
## 6. 线路关系
```mermaid
flowchart LR
Commit[已提交 Git 版本] --> Dev[scripts/deploy-t480.sh]
Dev --> DevCheck[t480 健康检查与业务冒烟]
DevCheck --> Tag[Gitea Tag / 发布审批]
Tag --> Prod[scripts/deploy-volcengine-102.sh]
Prod --> Backup[备份 named volume]
Backup --> Migrate[Alembic upgrade head]
Migrate --> Smoke[正式线 API / OpenClaw 冒烟]
Smoke --> Live[正式服务]
Smoke --> Rollback[旧镜像 + 数据备份恢复]
```

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@ -23,7 +23,11 @@ else
fi fi
echo "==> 3/4 pytest" echo "==> 3/4 pytest"
python -m pytest -q # Tests use mocked HTTP boundaries and should not inherit a developer's local
# SOCKS/HTTP proxy. Otherwise httpx may require an optional socksio package
# merely while importing the reverse-proxy router.
env -u ALL_PROXY -u all_proxy -u HTTP_PROXY -u http_proxy -u HTTPS_PROXY -u https_proxy \
python -m pytest -q
if [[ $FAST -eq 1 ]]; then if [[ $FAST -eq 1 ]]; then
echo "==> 4/4 前端类型检查(--fast 跳过)" echo "==> 4/4 前端类型检查(--fast 跳过)"

203
scripts/deploy-volcengine-102.sh Executable file
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@ -0,0 +1,203 @@
#!/usr/bin/env bash
# Versioned production deployment for the volcengine-102 environment.
#
# Required:
# AGENTEVAL_PROD_HOST=<ssh host alias>
#
# Optional:
# AGENTEVAL_PROD_DIR=/opt/agenteval
# AGENTEVAL_PROD_PORT=8002
# AGENTEVAL_PROD_BACKUP_DIR=/var/backups/agenteval
#
# Usage:
# scripts/deploy-volcengine-102.sh --tag 0.8.0-6248568
# scripts/deploy-volcengine-102.sh --dry-run --tag 0.8.0-6248568
# scripts/deploy-volcengine-102.sh --rollback 0.8.0-6248568
set -euo pipefail
HOST="${AGENTEVAL_PROD_HOST:-}"
REMOTE_DIR="${AGENTEVAL_PROD_DIR:-/opt/agenteval}"
APP_PORT="${AGENTEVAL_PROD_PORT:-8002}"
BACKUP_DIR="${AGENTEVAL_PROD_BACKUP_DIR:-/var/backups/agenteval}"
COMPOSE_FILE="deploy/volcengine-102/docker-compose.yml"
DRY_RUN=0
IMAGE_TAG=""
ROLLBACK_TAG=""
usage() {
sed -n '2,18p' "$0"
}
log() { printf '\033[1;36m>> %s\033[0m\n' "$*"; }
warn() { printf '\033[1;33m!! %s\033[0m\n' "$*" >&2; }
die() { printf '\033[1;31m!! %s\033[0m\n' "$*" >&2; exit 1; }
run() {
if [[ "$DRY_RUN" == "1" ]]; then
printf '\033[2m[dry-run]'
printf ' %q' "$@"
printf '\033[0m\n'
else
"$@"
fi
}
while [[ $# -gt 0 ]]; do
case "$1" in
--tag)
[[ $# -ge 2 ]] || die "--tag requires a value"
IMAGE_TAG="$2"
shift 2
;;
--rollback)
[[ $# -ge 2 ]] || die "--rollback requires an image tag"
ROLLBACK_TAG="$2"
shift 2
;;
--dry-run)
DRY_RUN=1
shift
;;
-h|--help)
usage
exit 0
;;
*)
die "unknown argument: $1"
;;
esac
done
[[ -n "$HOST" ]] || die "AGENTEVAL_PROD_HOST is required"
[[ -z "$IMAGE_TAG" || -z "$ROLLBACK_TAG" ]] || die "--tag and --rollback cannot be used together"
ROOT="$(cd "$(dirname "$0")/.." && pwd)"
cd "$ROOT"
validate_tag() {
[[ "$1" =~ ^[A-Za-z0-9][A-Za-z0-9._-]*$ ]] || die "invalid image tag: $1"
}
backup_remote_data() {
local release_tag="$1"
local timestamp backup_file
timestamp=$(date -u +"%Y%m%dT%H%M%SZ")
backup_file="agenteval-${release_tag}-${timestamp}.tgz"
log "backup production data volume → $BACKUP_DIR/$backup_file"
run ssh "$HOST" "set -eu; \
mkdir -p '$BACKUP_DIR'; \
if docker inspect agenteval >/dev/null 2>&1; then \
DATA_VOLUME=\$(docker inspect agenteval --format '{{range .Mounts}}{{if eq .Destination \"/app/data\"}}{{.Name}}{{end}}{{end}}'); \
[ -n \"\$DATA_VOLUME\" ] || { echo 'agenteval data volume not found' >&2; exit 1; }; \
docker run --rm -v \"\$DATA_VOLUME:/source:ro\" -v '$BACKUP_DIR:/backup' alpine:3.20 \
tar -czf '/backup/$backup_file' -C /source .; \
else \
echo 'first deployment: no existing agenteval container, backup skipped'; \
fi"
}
wait_for_health() {
local body=""
log "waiting for production /api/health" >&2
for _attempt in $(seq 1 30); do
body=$(ssh "$HOST" "curl -sf http://localhost:$APP_PORT/api/health 2>/dev/null" || true)
[[ -n "$body" ]] && break
sleep 2
done
[[ -n "$body" ]] || die "production health check did not respond after 60s"
printf '%s' "$body"
}
log "pre-flight: ssh connectivity"
run ssh -o ConnectTimeout=10 "$HOST" "echo ok >/dev/null" || die "cannot reach $HOST via ssh"
if [[ -n "$ROLLBACK_TAG" ]]; then
validate_tag "$ROLLBACK_TAG"
backup_remote_data "pre-rollback-$ROLLBACK_TAG"
log "rollback production image → agenteval:$ROLLBACK_TAG"
run ssh "$HOST" "set -eu; cd '$REMOTE_DIR'; \
docker image inspect 'agenteval:$ROLLBACK_TAG' >/dev/null; \
IMAGE_TAG='$ROLLBACK_TAG' docker compose -f '$COMPOSE_FILE' up -d --no-build agenteval"
if [[ "$DRY_RUN" == "1" ]]; then
log "rollback dry-run complete"
exit 0
fi
HEALTH_BODY=$(wait_for_health)
log "/api/health: $HEALTH_BODY"
warn "database migrations are not downgraded; restore a matching backup only when the release requires it"
log "rollback OK: image=agenteval:$ROLLBACK_TAG"
exit 0
fi
log "pre-flight: sync version metadata"
run python3 scripts/sync_version.py
if [[ "$DRY_RUN" != "1" ]] && { ! git diff --quiet HEAD -- || ! git diff --cached --quiet; }; then
die "tracked changes exist; commit them before a production deployment"
fi
VERSION=$(python3 -c "import re; print(re.search(r'^version\s*=\s*\"([^\"]+)\"', open('pyproject.toml').read(), re.M).group(1))")
COMMIT=$(git rev-parse --short HEAD)
BUILD_TIME=$(date -u +"%Y-%m-%dT%H:%M:%SZ")
IMAGE_TAG="${IMAGE_TAG:-${VERSION}-${COMMIT}}"
validate_tag "$IMAGE_TAG"
log "release: version=$VERSION image=agenteval:$IMAGE_TAG commit=$COMMIT"
log "pre-flight: remote production configuration"
run ssh "$HOST" "set -eu; mkdir -p '$REMOTE_DIR'; \
test -f '$REMOTE_DIR/deploy/volcengine-102/.env' \
|| { echo 'missing production deploy/volcengine-102/.env' >&2; exit 1; }"
log "sync committed release source → $HOST:$REMOTE_DIR"
run rsync -az --delete \
--exclude='.git' \
--exclude='.scratch' \
--exclude='.env' \
--exclude='node_modules' \
--exclude='frontend/web/dist' \
--exclude='.venv' \
--exclude='__pycache__' \
--exclude='.pytest_cache' \
--exclude='.ruff_cache' \
--exclude='data' \
--exclude='config/config.json' \
--exclude='*.db*' \
./ "$HOST:$REMOTE_DIR/"
backup_remote_data "$IMAGE_TAG"
log "build immutable production image agenteval:$IMAGE_TAG"
run ssh "$HOST" "set -eu; cd '$REMOTE_DIR'; \
IMAGE_TAG='$IMAGE_TAG' BUILD_COMMIT='$COMMIT' BUILD_TIME='$BUILD_TIME' \
docker compose -f '$COMPOSE_FILE' build agenteval"
log "start production services"
run ssh "$HOST" "set -eu; cd '$REMOTE_DIR'; \
IMAGE_TAG='$IMAGE_TAG' BUILD_COMMIT='$COMMIT' BUILD_TIME='$BUILD_TIME' \
docker compose -f '$COMPOSE_FILE' up -d --remove-orphans"
if [[ "$DRY_RUN" == "1" ]]; then
log "production deployment dry-run complete"
exit 0
fi
HEALTH_BODY=$(wait_for_health)
REMOTE_VERSION=$(printf '%s' "$HEALTH_BODY" | python3 -c "import json, sys; print(json.load(sys.stdin).get('version', ''))")
REMOTE_COMMIT=$(printf '%s' "$HEALTH_BODY" | python3 -c "import json, sys; print(json.load(sys.stdin).get('commit', ''))")
[[ "$REMOTE_VERSION" == "$VERSION" ]] || die "version mismatch: local=$VERSION remote=$REMOTE_VERSION"
[[ "$REMOTE_COMMIT" == "$COMMIT" ]] || die "commit mismatch: local=$COMMIT remote=$REMOTE_COMMIT"
log "authenticated API smoke checks"
run ssh "$HOST" "set -eu; cd '$REMOTE_DIR'; \
API_KEY_VALUE=\$(sed -n 's/^AGENTEVAL_API_KEY=//p' deploy/volcengine-102/.env | head -1); \
for API_PATH in /api/targets /api/scenarios /api/runs /api/campaigns /api/intelligent-evals /api/model-configs; do \
HTTP_CODE=\$(curl -sS -o /dev/null -w '%{http_code}' -H \"X-API-Key: \$API_KEY_VALUE\" \"http://localhost:$APP_PORT\$API_PATH\"); \
[ \"\$HTTP_CODE\" = '200' ] || { echo \"\$API_PATH returned \$HTTP_CODE\" >&2; exit 1; }; \
echo \"\$API_PATH 200\"; \
done"
log "/api/health: $HEALTH_BODY"
log "production deploy OK: version=$VERSION image=agenteval:$IMAGE_TAG commit=$COMMIT"

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@ -0,0 +1,24 @@
#!/usr/bin/env sh
# Bootstrap legacy SQLite databases once, then apply real migrations on every
# subsequent start. This keeps the old pre-Alembic production database usable
# without stamping away future migrations.
set -eu
DB_PATH="${AGENTEVAL_DB_PATH:-data/agenteval.db}"
if [ ! -f "$DB_PATH" ]; then
echo "production db not found; creating the initial SQLModel schema"
python -c "from agenteval.storage.db import init_db; init_db()"
alembic stamp head
else
HAS_ALEMBIC_VERSION=$(python -c "import sqlite3, sys; connection = sqlite3.connect(sys.argv[1]); row = connection.execute(\"SELECT 1 FROM sqlite_master WHERE type = 'table' AND name = 'alembic_version'\").fetchone(); connection.close(); print('yes' if row else 'no')" "$DB_PATH")
if [ "$HAS_ALEMBIC_VERSION" = "no" ]; then
echo "legacy production db detected; recording the current schema baseline"
python -c "from agenteval.storage.db import init_db; init_db()"
alembic stamp head
fi
fi
alembic upgrade head
exec agenteval server start --host 0.0.0.0 --port 8000