我的应用 Curtain Estimator 的 bug 修复都是通过 OTA 推送的:JavaScript 改动不用等 App Store 审核,直接下发到用户手机上。Expo 官方的 EAS Update 本来就能做这件事,但我还是用 Django REST Framework 和 Tigris S3 自己搭了一套。从那以后,iOS 和 Android 的更新全都走这台服务器。
这篇文章把整个方案过一遍:数据模型、manifest 接口、发布流水线,还有那些只有真正跑起来才会踩到的坑。
为什么要自己搭#
对我来说主要是钱的问题。EAS Update 按用量计费,用户多了、更新频繁了,账单就跟着涨;而 Tigris 这类 S3 兼容存储几乎不要钱。当然还有别的理由:有些行业要求应用资产必须留在自己的基础设施里;服务器在自己手上,整个更新流程就都可控,想按用户群灰度、想做 bundle 的 A/B 测试都行。另外,更新链路也不再受 Expo 服务可用性或下一次调价的影响。
整体架构#
一共四个部分:Django 后端负责下发更新 manifest、保存元数据;Tigris 存放 bundle 和资源文件本体;一个发布脚本负责导出、上传、登记更新;再加上移动应用本身,把更新地址指向我的服务器而不是 Expo 的。
┌─────────────────┐
│ Mobile App │
│ (expo-updates) │
└────────┬────────┘
│ 1. Request manifest
│ (with headers: platform, runtime-version)
↓
┌─────────────────┐
│ Django Server │
│ /api/expo- │◄─── 2. Query DB for latest update
│ updates/ │
│ manifest/ │
└────────┬────────┘
│ 3. Generate presigned URLs
│
↓
┌─────────────────┐
│ Tigris S3 │
│ (Asset Files) │◄─── 4. App downloads bundles directly
└─────────────────┘具体实现#
两个模型#
一切都建立在 ExpoUpdate 和 ExpoUpdateAsset 之上。前者保存每次更新的元数据:
class ExpoUpdate(models.Model):
id = models.UUIDField(primary_key=True, default=uuid.uuid4)
runtime_version = models.CharField(max_length=50, db_index=True)
platform = models.CharField(
max_length=10,
choices=[("ios", "iOS"), ("android", "Android")],
db_index=True
)
is_active = models.BooleanField(default=True, db_index=True)
manifest_data = models.JSONField()
description = models.TextField(blank=True)
created_at = models.DateTimeField(auto_now_add=True)
class Meta:
indexes = [
models.Index(fields=["runtime_version", "platform", "is_active", "-created_at"])
]这里有几个刻意的设计。runtime_version 对应 app.json 里的 runtimeVersion,客户端只会下载和自己运行时版本一致的更新,所以这个字段很关键。iOS 和 Android 的 bundle 不一样,所以分开存。is_active 是回滚开关:把有问题的更新停用,客户端就会退回上一个版本。manifest_data 直接把完整的 Expo Updates v1 协议 manifest 存成 JSON,下发的时候取出来就行。
ExpoUpdateAsset 记录每个文件:
class ExpoUpdateAsset(models.Model):
id = models.UUIDField(primary_key=True, default=uuid.uuid4)
update = models.ForeignKey(ExpoUpdate, on_delete=models.CASCADE, related_name="assets")
hash = models.CharField(max_length=255, db_index=True)
key = models.CharField(max_length=255)
content_type = models.CharField(max_length=100)
file_extension = models.CharField(max_length=10)
file_path = models.CharField(max_length=500)
file_size = models.IntegerField(default=0)资源用 SHA-256 哈希来引用,天然不可变、好缓存,同一个资源可以被多次更新复用。
manifest 接口#
应用和服务器真正打交道的地方是 /api/expo-updates/manifest/,实现的是 Expo Updates v1 协议:
@action(detail=False, methods=["get"], url_path="manifest")
def manifest(self, request):
# Extract required headers
protocol_version = request.META.get("HTTP_EXPO_PROTOCOL_VERSION")
platform = request.META.get("HTTP_EXPO_PLATFORM")
runtime_version = request.META.get("HTTP_EXPO_RUNTIME_VERSION")
# Validate protocol version
if protocol_version != "1":
return Response(
{"error": f"Unsupported protocol version: {protocol_version}"},
status=400
)
# Find latest active update for this runtime + platform
update = ExpoUpdate.objects.filter(
runtime_version=runtime_version,
platform=platform,
is_active=True,
).order_by("-created_at").first()
# No update available - client uses embedded bundle
if not update:
response = Response(status=204)
response["expo-protocol-version"] = "1"
return response
# Generate presigned URLs for all assets
manifest_data = self._generate_manifest_with_presigned_urls(update)
return Response(manifest_data, status=200)有三个细节值得注意。没有更新时返回 204,应用会继续用内置的 bundle。manifest 里的资源地址是预签名 URL,应用直接从 Tigris 的 CDN 下载,不用整个流经 Django。响应头里的 expo-protocol-version 不能省,客户端真的会检查。
发布更新#
发布靠一条 Django 管理命令,外面再包一层 shell 脚本。管理命令 publish_expo_update.py 负责读取 expo export 的输出、给每个资源算 SHA-256 哈希、把 bundle 和资源并行传到 Tigris、写数据库记录,需要的话还会往桶里放一份用于生产同步的导入 JSON。核心流程:
def _publish_platform(self, platform, runtime_version, export_dir, ...):
# 1. Find the bundle file
bundle_files = list(bundle_dir.glob("entry-*.hbc"))
bundle_file = bundle_files[0]
# 2. Calculate hash
with open(bundle_file, "rb") as f:
bundle_content = f.read()
bundle_hash = self._calculate_hash(bundle_content)
# 3. Collect all assets and their hashes
for asset_file in assets_dir.rglob("*"):
# Calculate hash, determine content type...
assets_metadata.append({...})
# 4. Upload to S3 in parallel
with ThreadPoolExecutor(max_workers=10) as executor:
futures = {executor.submit(upload_asset, a): a for a in assets_metadata}
# 5. Create database records
with transaction.atomic():
# Deactivate previous updates
ExpoUpdate.objects.filter(
runtime_version=runtime_version,
platform=platform,
is_active=True
).update(is_active=False)
# Create new update
update = ExpoUpdate.objects.create(...)平时真正敲的是外面这层 publish-ota-update.sh:
# Publish to local environment
./scripts/publish-ota-update.sh ios
# Publish to production
./scripts/publish-ota-update.sh ios --production
# Dry run to validate
./scripts/publish-ota-update.sh --dry-run它会在导出前加载生产环境变量,平台可以只发一个也可以两个都发,还顺带处理下一节要讲的生产同步。脚本全文在文末。
同步到生产环境#
我不想把生产环境的凭证放在自己笔记本上,所以生产发布分两步:先在本地发布(资源传到 Tigris,同时生成一份元数据的 JSON 快照),再带着 S3 路径调用生产环境的 API,让服务器自己把元数据导进去:
@action(detail=False, methods=["post"], url_path="import-update")
def import_update(self, request):
# Authenticate via Bearer token
secret = settings.OTA_IMPORT_SECRET
token = request.META.get("HTTP_AUTHORIZATION", "")[7:] # Strip "Bearer "
if not hmac.compare_digest(token, secret):
return Response({"error": "Invalid token"}, status=401)
# Download import JSON from Tigris
s3_key = request.data.get("s3_key")
obj = s3_client.get_object(Bucket=bucket_name, Key=s3_key)
data = json.loads(obj["Body"].read())
# Import to production database
with transaction.atomic():
ExpoUpdate.objects.update_or_create(id=data["id"], defaults={...})
for asset_data in data["assets"]:
ExpoUpdateAsset.objects.update_or_create(...)
# Clean up the import JSON
s3_client.delete_object(Bucket=bucket_name, Key=s3_key)让应用指向自己的服务器#
在 app.json 里配置更新地址和运行时版本:
{
"expo": {
"runtimeVersion": "1.0.0",
"updates": {
"url": "https://your-server.com/api/expo-updates/manifest/"
}
}
}runtimeVersion 必须在应用和服务器之间严格对齐。改了原生代码或者升级了 Expo SDK,就把运行时版本加一,然后针对新版本重新发布更新。
Tigris 存储#
Tigris 是 S3 兼容的对象存储,比 AWS S3 便宜得多,还自带全球边缘缓存。考虑到用户要下载好几 MB 的 bundle,这一点很实在。Django 侧的配置:
# settings.py
BUCKET_NAME = os.getenv("BUCKET_NAME")
AWS_ENDPOINT_URL_S3 = os.getenv("AWS_ENDPOINT_URL_S3")
AWS_ACCESS_KEY_ID = os.getenv("AWS_ACCESS_KEY_ID")
AWS_SECRET_ACCESS_KEY = os.getenv("AWS_SECRET_ACCESS_KEY")
AWS_REGION = os.getenv("AWS_REGION", "auto")客户端就是普通的 boto3:
import boto3
def create_s3_client(endpoint_url, region, access_key, secret_key):
return boto3.client(
"s3",
endpoint_url=endpoint_url,
region_name=region,
aws_access_key_id=access_key,
aws_secret_access_key=secret_key,
)下载走预签名 URL,应用直接从 CDN 拉取:
presigned_url = s3_client.generate_presigned_url(
"get_object",
Params={"Bucket": bucket_name, "Key": asset.file_path},
ExpiresIn=3600, # 1 hour
)安全#
manifest 接口是故意不做鉴权的,因为应用在用户登录之前就需要拿更新。导入接口则完全不同:它能写生产数据库,所以要求共享密钥,并用常数时间比较来防时序攻击:
OTA_IMPORT_SECRET = os.getenv("OTA_IMPORT_SECRET")
# Constant-time comparison prevents timing attacks
if not hmac.compare_digest(token, secret):
return Response({"error": "Invalid token"}, status=401)资源完整性是这套设计白送的:所有资源都按 SHA-256 哈希校验,被篡改的资源直接失败。预签名 URL 一小时过期,bundle 也就不会被长期盗链。
性能#
(runtime_version, platform, is_active, -created_at) 这个联合索引保证 manifest 查询不会随着更新数量增长变慢:
class Meta:
indexes = [
models.Index(fields=["runtime_version", "platform", "is_active", "-created_at"])
]发布脚本用线程池并行上传资源:
with ThreadPoolExecutor(max_workers=10) as executor:
futures = {executor.submit(upload_asset, asset): asset for asset in assets}
for future in as_completed(futures):
# Track progress以一次 50 个资源左右的典型更新为例,发布时间从大约 2 分钟缩到了 15 秒。分发这边什么都不用做,Tigris 会自动把资源缓存到离用户近的边缘节点。
日常流程#
开发时#
# 1. Make code changes in mobile app
cd mobile-app && git commit -am "Fix bug"
# 2. Publish OTA update to local environment
yarn publish-update:ios
# 3. Test on device
# App automatically downloads and applies update发布到生产#
# 1. Publish to production
yarn publish-update:prod:ios
# 2. Monitor
# Check Django admin for update records
# Verify assets in Tigris dashboard回滚#
# Mark problematic update as inactive in Django admin
# or via management shell:
python manage.py shell
>>> from jobs.models import ExpoUpdate
>>> bad_update = ExpoUpdate.objects.get(id="uuid-here")
>>> bad_update.is_active = False
>>> bad_update.save()
# Clients will now receive the previous active update成本#
Curtain Estimator 大约有 500 个活跃用户。Tigris 上,约 200 MB 的历史更新每月大概 0.02 美元,更新下载带来的每月约 50 GB 流出流量大概 1 美元。Django 这边跑在原本就承载 API 的 Fly.io 实例上,没有额外成本。加起来每月一美元左右。同样的用量放到 EAS Update 上,一年大概要 300 到 500 美元,所以这套东西基本上立刻就回本了。
监控与调试#
没什么花哨的。ViewSet 会把每个 manifest 请求记进日志:
logger.info(f"Manifest request: platform={platform}, runtime={runtime_version}")Django admin 就是事实上的控制台,把模型注册进去,查看、筛选都很方便:
@admin.register(ExpoUpdate)
class ExpoUpdateAdmin(admin.ModelAdmin):
list_display = ["platform", "runtime_version", "is_active", "created_at"]
list_filter = ["platform", "is_active", "runtime_version"]
search_fields = ["description"]客户端这边,expo-updates 会告诉你它看到了什么:
import * as Updates from 'expo-updates';
Updates.checkForUpdateAsync().then(update => {
console.log('Update available:', update.isAvailable);
console.log('Manifest:', update.manifest);
});踩过的坑#
运行时版本不匹配#
最常见的故障也最安静:客户端只下载和自己运行时版本一致的更新。装机版本还在 1.0.0,你却按 1.0.1 发布,那就什么都收不到,也没有任何报错。运行时版本要和构建保持同步,只在原生代码变化时才递增。
createdAt 时间戳#
expo-updates 客户端会拿 manifest 的 createdAt 和内置 bundle 的 commitTime 比较,只有 createdAt 更新的才会被应用。ViewSet 里用数据库时间戳覆盖它:
manifest_data["createdAt"] = update.created_at.strftime("%Y-%m-%dT%H:%M:%S.%fZ")本地开发时,如果你在发布 OTA 之后又构建了二进制包,就重新发布一次 OTA,保证时间戳更新。
manifest 里的资源 key#
manifest 中每个资源的 key 字段是 expo-updates 用来做缓存的,它必须是确定性哈希(比如文件名的 MD5),不能是随机 UUID 或随便一个字符串。搞错了,客户端可能无法正确缓存和读取资源,更新会在第一次成功加载之后悄悄失效。感谢读者 Raphael Mutschler 指出这个问题。在找到原因之前,他的更新恰好只成功过一次。
expoClient 里的应用配置#
如果应用用到 Linking、Constants 或其他在运行时读取应用配置的东西,manifest 的 extra.expoClient 字段里就必须带上应用配置。少了它,应用第一次可能启动正常,关掉之后再打开就崩溃或干脆打不开。原因是 expo-updates 会用 OTA 的 manifest 替换内置 manifest,expoClient 一缺,这些 API 依赖的配置就没了。这个坑也是 Raphael Mutschler 发现的。
清理旧资源#
旧更新会在 Tigris 里越积越多。目前我还是手动清理:
# Delete updates older than 30 days
from datetime import timedelta
from django.utils import timezone
cutoff = timezone.now() - timedelta(days=30)
old_updates = ExpoUpdate.objects.filter(created_at__lt=cutoff, is_active=False)
for update in old_updates:
# Delete assets from S3
for asset in update.assets.all():
s3_client.delete_object(Bucket=bucket_name, Key=asset.file_path)
# Delete DB records
update.delete()按理说应该放进定时任务,我还没顾上。
接下来想加的#
灰度发布#
加一个 rollout_percentage 字段,就能先放量给一部分用户:
rollout_percentage = models.IntegerField(default=100)
# In the manifest view:
if update.rollout_percentage < 100:
# Hash user ID and check if they're in rollout group
user_hash = int(hashlib.sha256(user_id.encode()).hexdigest(), 16)
if (user_hash % 100) >= update.rollout_percentage:
return Response(status=204) # No update区分预发环境#
加一个 environment 字段,预发构建和生产就能收到不同的更新:
environment = models.CharField(max_length=20, default="production")
# Client sends environment in custom header
environment = request.META.get("HTTP_X_UPDATE_ENVIRONMENT", "production")
update = ExpoUpdate.objects.filter(environment=environment, ...).first()下载统计#
再加一个小模型,就能认真回答“这次更新到底有没有人收到”:
class ExpoUpdateDownload(models.Model):
update = models.ForeignKey(ExpoUpdate, on_delete=models.CASCADE)
user_id = models.CharField(max_length=255, null=True)
platform = models.CharField(max_length=10)
downloaded_at = models.DateTimeField(auto_now_add=True)写在最后#
整套系统就是 150 行左右的 Django 模型和视图、200 行左右的发布脚本,外加每月一美元的基础设施。比我动手前预想的要小,而且从那以后一直安安静静地支撑着 Curtain Estimator 的两个平台。
上面的代码都摘自那个生产应用,按自己的项目改改就能用。读者 Raphael Mutschler 还发布了一个独立实现 expo-ota-server,想从能直接跑的代码开始的话可以去看看。
完整规范见 Expo Updates Protocol Specification。
脚本全文#
平时用的是发布脚本。另一个同步脚本是早期的替代方案,不走导入 API,直接通过 flyctl ssh 把更新记录复制进生产数据库。
publish-ota-update.sh#
#!/bin/bash
# Publish OTA Update Script
#
# Usage:
# ./scripts/publish-ota-update.sh # Both platforms (LOCAL)
# ./scripts/publish-ota-update.sh ios # iOS only (LOCAL)
# ./scripts/publish-ota-update.sh ios --production # iOS to PRODUCTION
# ./scripts/publish-ota-update.sh --dry-run # Test without uploading
# ./scripts/publish-ota-update.sh ios --description "Bug fixes"
set -e
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
BLUE='\033[0;34m'
RED='\033[0;31m'
NC='\033[0m'
# Parse arguments
PLATFORM="all"
PRODUCTION=false
DRY_RUN=false
DESCRIPTION=""
while [[ $# -gt 0 ]]; do
case $1 in
ios|android|all) PLATFORM="$1"; shift ;;
--production|--prod) PRODUCTION=true; shift ;;
--dry-run) DRY_RUN=true; shift ;;
--description) DESCRIPTION="$2"; shift 2 ;;
-h|--help)
echo "Usage: $0 [ios|android|all] [--production] [--dry-run] [--description \"msg\"]"
exit 0 ;;
*) echo -e "${RED}Unknown: $1${NC}"; exit 1 ;;
esac
done
# Auto-detect project root (support running from mobile-app/ via yarn)
if [ -d "mobile-app" ]; then
: # already at project root
elif [ -d "../mobile-app" ]; then
cd ..
else
echo -e "${RED}Error: Run from project root or mobile-app/${NC}" && exit 1
fi
docker info > /dev/null 2>&1 || { echo -e "${RED}Error: Docker not running${NC}"; exit 1; }
# Log file — verbose output goes here, terminal gets summary only
LOG_FILE="ota-publish-$(date +%Y%m%d-%H%M%S).log"
echo -e "${BLUE}═══ Expo OTA Publisher ═══${NC}"
echo -e "Platform: ${PLATFORM} Production: ${PRODUCTION} Log: ${LOG_FILE}"
echo ""
# ── Step 1: Export with production env vars ──
echo -e "${YELLOW}Step 1: Exporting mobile app...${NC}"
cd mobile-app
# Load production env vars from eas.json (adapt these to your app's env vars)
if [ -f "eas.json" ] && command -v jq &> /dev/null; then
for key in $(jq -r '.build.production.env // {} | keys[]' eas.json); do
export "$key"="$(jq -r ".build.production.env.$key" eas.json)"
done
fi
OTA_EXPORT_DIR="dist-ota"
if [ "$PLATFORM" = "all" ]; then
npx expo export --platform ios --output-dir "$OTA_EXPORT_DIR" >> "../$LOG_FILE" 2>&1
npx expo export --platform android --output-dir "$OTA_EXPORT_DIR" >> "../$LOG_FILE" 2>&1
else
npx expo export --platform "$PLATFORM" --output-dir "$OTA_EXPORT_DIR" >> "../$LOG_FILE" 2>&1
fi
cd ..
echo -e "${GREEN}✓ Export complete${NC}"
# ── Step 2: Upload to Tigris + create DB records ──
echo -e "${YELLOW}Step 2: Publishing to Tigris...${NC}"
CMD_ARGS="--platform $PLATFORM --export-dir mobile-app/$OTA_EXPORT_DIR"
[ "$DRY_RUN" = true ] && CMD_ARGS="$CMD_ARGS --dry-run"
[ -n "$DESCRIPTION" ] && CMD_ARGS="$CMD_ARGS --description \"$DESCRIPTION\""
[ "$PRODUCTION" = true ] && CMD_ARGS="$CMD_ARGS --production-sync"
PUBLISH_OUTPUT=$(eval docker compose exec -T django python manage.py publish_expo_update $CMD_ARGS 2>&1)
echo "$PUBLISH_OUTPUT" >> "$LOG_FILE"
# Print key lines to terminal
echo "$PUBLISH_OUTPUT" | grep -E '✓ Published:|Deactivated|OTA_S3_KEY=|DRY RUN|ERROR|Failed' || true
# ── Step 3 (production only): Sync via API endpoint ──
if [ "$PRODUCTION" = true ] && [ "$DRY_RUN" = false ]; then
echo -e "${YELLOW}Step 3: Syncing to production...${NC}"
# Extract S3 key(s) from management command output
S3_KEYS=$(echo "$PUBLISH_OUTPUT" | grep -o 'OTA_S3_KEY=[^ ]*' | sed 's/OTA_S3_KEY=//')
[ -z "$S3_KEYS" ] && echo -e "${RED}Error: No OTA_S3_KEY found in publish output${NC}" && exit 1
# Read OTA_IMPORT_SECRET from .env
if [ -f ".env" ]; then
OTA_IMPORT_SECRET=$(grep -E '^OTA_IMPORT_SECRET=' .env | sed 's/^OTA_IMPORT_SECRET=//')
fi
[ -z "$OTA_IMPORT_SECRET" ] && echo -e "${RED}Error: OTA_IMPORT_SECRET not found in .env${NC}" && exit 1
PROD_URL="https://your-app.fly.dev/api/expo-updates/import-update/"
for S3_KEY in $S3_KEYS; do
RESPONSE=$(curl -s -w "\n%{http_code}" -X POST "$PROD_URL" \
-H "Authorization: Bearer $OTA_IMPORT_SECRET" \
-H "Content-Type: application/json" \
-d "{\"s3_key\": \"$S3_KEY\"}")
HTTP_CODE=$(echo "$RESPONSE" | tail -1)
BODY=$(echo "$RESPONSE" | sed '$d')
echo "$BODY" >> "$LOG_FILE"
if [ "$HTTP_CODE" = "200" ]; then
UPDATE_ID=$(echo "$BODY" | python3 -c "import sys,json; print(json.load(sys.stdin)['update_id'])" 2>/dev/null || echo "unknown")
PLAT=$(echo "$BODY" | python3 -c "import sys,json; print(json.load(sys.stdin)['platform'])" 2>/dev/null || echo "unknown")
NOTIF_COUNT=$(echo "$BODY" | python3 -c "import sys,json; print(json.load(sys.stdin).get('notifications_sent', 0))" 2>/dev/null || echo "0")
echo -e "${GREEN}✓ ${PLAT}: ${UPDATE_ID}${NC}"
echo -e "${GREEN}✓ Sent ${NOTIF_COUNT} push notification(s) to production users${NC}"
else
echo -e "${RED}Error: HTTP $HTTP_CODE${NC}"
echo "$BODY"
exit 1
fi
done
fi
echo ""
echo -e "${GREEN}═══ ✓ Done ═══${NC}"
echo -e "Full log: ${LOG_FILE}"sync-ota-to-prod.sh#
#!/bin/bash
# Sync OTA Update to Production Database
# This script copies an OTA update record from local to production database
# The bundles are already in Tigris (shared between local and production)
set -e
# Colors
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
BLUE='\033[0;34m'
NC='\033[0m'
# Get the update ID from arguments or use the latest
UPDATE_ID="$1"
if [ -z "$UPDATE_ID" ]; then
echo -e "${YELLOW}No update ID provided, using latest iOS update...${NC}"
UPDATE_ID=$(docker compose exec -T django python manage.py shell -c "
from jobs.models import ExpoUpdate
update = ExpoUpdate.objects.filter(platform='ios').order_by('-created_at').first()
print(update.id if update else '')
" | tail -1 | tr -d '\r\n')
fi
echo -e "${BLUE}Syncing OTA Update to Production${NC}"
echo -e "${BLUE}Update ID: $UPDATE_ID${NC}"
echo ""
# Export the update data from local database
echo -e "${YELLOW}Step 1/2: Exporting from local database...${NC}"
docker compose exec -T django python manage.py shell -c "
import json
from jobs.models import ExpoUpdate, ExpoUpdateAsset
try:
update = ExpoUpdate.objects.get(id='$UPDATE_ID')
except ExpoUpdate.DoesNotExist:
print('ERROR: Update not found')
exit(1)
# Export update
print(json.dumps({
'id': str(update.id),
'runtime_version': update.runtime_version,
'platform': update.platform,
'is_active': update.is_active,
'manifest_data': update.manifest_data,
'description': update.description,
'assets': [
{
'id': str(asset.id),
'hash': asset.hash,
'key': asset.key,
'content_type': asset.content_type,
'file_extension': asset.file_extension,
'file_path': asset.file_path,
'file_size': asset.file_size,
}
for asset in update.assets.all()
]
}))
" > /tmp/ota_sync_$UPDATE_ID.json
# Check if export succeeded
if [ ! -s /tmp/ota_sync_$UPDATE_ID.json ]; then
echo -e "${RED}Failed to export update${NC}"
exit 1
fi
echo -e "${GREEN}✓ Exported update data${NC}"
echo ""
# Import to production database
echo -e "${YELLOW}Step 2/2: Importing to production database...${NC}"
# Create Python script for import
cat > /tmp/ota_import.py << 'EOFPY'
import json
from jobs.models import ExpoUpdate, ExpoUpdateAsset
with open('/tmp/ota_data.json', 'r') as f:
data = json.load(f)
# Create or update the ExpoUpdate record
update, created = ExpoUpdate.objects.update_or_create(
id=data['id'],
defaults={
'runtime_version': data['runtime_version'],
'platform': data['platform'],
'is_active': data['is_active'],
'manifest_data': data['manifest_data'],
'description': data['description'],
}
)
print(f"Update: {'created' if created else 'updated'}")
print(f" ID: {update.id}")
print(f" Platform: {update.platform}")
print(f" Runtime: {update.runtime_version}")
print(f" Description: {update.description}")
# Create assets
assets_created = 0
for asset_data in data['assets']:
_, created = ExpoUpdateAsset.objects.update_or_create(
id=asset_data['id'],
defaults={
'update': update,
'hash': asset_data['hash'],
'key': asset_data['key'],
'content_type': asset_data['content_type'],
'file_extension': asset_data['file_extension'],
'file_path': asset_data['file_path'],
'file_size': asset_data['file_size'],
}
)
if created:
assets_created += 1
print(f"Assets: {assets_created} created, {len(data['assets']) - assets_created} updated")
print(f"✓ OTA update successfully synced to production!")
EOFPY
# Copy JSON to temp location and import
flyctl ssh console -C "cat > /tmp/ota_data.json" < /tmp/ota_sync_$UPDATE_ID.json
flyctl ssh console -C "cat > /tmp/ota_import.py" < /tmp/ota_import.py
flyctl ssh console -C "python manage.py shell < /tmp/ota_import.py"
# Cleanup
rm /tmp/ota_sync_$UPDATE_ID.json /tmp/ota_import.py
echo ""
echo -e "${GREEN}╔════════════════════════════════════════════════════════════╗${NC}"
echo -e "${GREEN}║ ✓ OTA Update Synced to Production! ║${NC}"
echo -e "${GREEN}╚════════════════════════════════════════════════════════════╝${NC}"
echo ""
# Verify
echo -e "${BLUE}Verifying production...${NC}"
flyctl ssh console -C "python manage.py shell -c \"
from jobs.models import ExpoUpdate
count = ExpoUpdate.objects.count()
latest = ExpoUpdate.objects.order_by('-created_at').first()
print(f'Total OTA updates: {count}')
if latest:
print(f'Latest: {latest.platform} - {latest.description}')
\""
