清理旧创作模板退役过程记录与死代码
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- 删除一次性 schema guard 退役表白名单、isApprovedRetiredTableDeletion 导出与专属测试,compareTables 收回为内部函数
- 删除 shared-contracts 未挂载的旧玩法契约模块、api-server 旧 story 模块与旧压测资源 scripts/loadtest/ 及对应忽略/排除配置
- 清理 decision-log、pitfalls 中旧表退役、两阶段清表窗口与旧玩法过程记录,保留改写后的通用条目
- 移除权威文档、模块 README 与运维文档中的旧模板、历史表与旧压测叙述
This commit is contained in:
2026-09-23 11:37:39 +08:00
parent b62afb43b6
commit ec54cab747
53 changed files with 143 additions and 11098 deletions
+1 -77
View File
@@ -13,79 +13,6 @@ const tableCatalogPath =
const bindingsRoot = 'server-rs/crates/spacetime-client/src/module_bindings/';
const allowBreaking = process.env.SPACETIME_SCHEMA_GUARD_ALLOW_BREAKING === '1';
// 本次历史表退役的一次性迁移白名单。该清单只允许这些已确认表从基线消失;
// 待删除结果进入后续主线基线后必须删除本清单,其他表仍按既有破坏性变更路径失败。
export const APPROVED_RETIRED_TABLE_DELETIONS = Object.freeze([
'player_progression',
'chapter_progression',
'npc_state',
'story_session',
'story_event',
'inventory_slot',
'battle_state',
'treasure_record',
'quest_record',
'quest_log',
'custom_world_profile',
'custom_world_session',
'custom_world_agent_session',
'custom_world_agent_message',
'custom_world_agent_operation',
'custom_world_draft_card',
'custom_world_gallery_entry',
'puzzle_agent_session',
'puzzle_background_compile_task',
'puzzle_agent_message',
'puzzle_work_profile',
'puzzle_event',
'puzzle_runtime_run',
'puzzle_leaderboard_entry',
'puzzle_clear_agent_session',
'puzzle_clear_work_profile',
'puzzle_clear_runtime_run',
'puzzle_clear_event',
'bark_battle_draft_config',
'bark_battle_published_config',
'bark_battle_runtime_run',
'bark_battle_score_record',
'bark_battle_leaderboard_entry',
'bark_battle_work_stats_projection',
'bark_battle_personal_best_projection',
'match3d_agent_session',
'match3d_agent_message',
'match_3_d_work_profile',
'match3d_runtime_run',
'jump_hop_agent_session',
'jump_hop_work_profile',
'jump_hop_runtime_run',
'jump_hop_event',
'jump_hop_leaderboard_entry',
'wooden_fish_agent_session',
'wooden_fish_work_profile',
'wooden_fish_runtime_run',
'wooden_fish_event',
'square_hole_agent_session',
'square_hole_agent_message',
'square_hole_work_profile',
'square_hole_runtime_run',
'visual_novel_agent_session',
'visual_novel_agent_message',
'visual_novel_work_profile',
'visual_novel_runtime_run',
'visual_novel_runtime_history_entry',
'visual_novel_runtime_event',
'big_fish_creation_session',
'big_fish_agent_message',
'big_fish_asset_slot',
'big_fish_runtime_run',
'big_fish_event',
]);
const approvedRetiredTableDeletions = new Set(APPROVED_RETIRED_TABLE_DELETIONS);
export function isApprovedRetiredTableDeletion(accessor) {
return approvedRetiredTableDeletions.has(accessor);
}
function normalizePath(path) {
return path.replace(/\\/gu, '/');
}
@@ -713,7 +640,7 @@ function fieldDescription(field) {
return `${field.name}: ${field.type}`;
}
export function compareTables(baseTables, currentTables) {
function compareTables(baseTables, currentTables) {
const failures = [];
let schemaChanged = false;
let breakingChanged = false;
@@ -722,9 +649,6 @@ export function compareTables(baseTables, currentTables) {
const currentTable = currentTables.get(accessor);
if (!currentTable) {
schemaChanged = true;
if (isApprovedRetiredTableDeletion(accessor)) {
continue;
}
breakingChanged = true;
failures.push(
`${baseTable.path}:${baseTable.line}: SpacetimeDB 表 ${accessor} 被删除或改名。表删除/改名必须先询问用户并确认迁移计划。`,
@@ -1,9 +1,7 @@
import { describe, expect, it } from 'vitest';
import {
APPROVED_RETIRED_TABLE_DELETIONS,
collectTablesFromSources,
compareTables,
isFormalGateEnvironment,
listReachableRustFiles,
resolveBaseRef,
@@ -38,15 +36,6 @@ function createGitResolver(entries: Record<string, string | null>) {
return (args: string[]) => entries[args.join(' ')] ?? null;
}
function collectTables(accessors: string[]) {
return collectTablesFromSources(
accessors.map((accessor, index) => ({
path: `${sourceRoot}/schema.rs`,
text: tableSource(`Table${index}`, accessor),
})),
).tables;
}
describe('SpacetimeDB schema guard base resolution', () => {
it('prefers an explicit Jenkins-provided base ref', () => {
expect(
@@ -136,61 +125,3 @@ describe('SpacetimeDB schema guard module reachability', () => {
expect(result.failures[0]).toMatch(/table accessor example 重复定义/u);
});
});
describe('SpacetimeDB schema guard retired table deletion allowlist', () => {
it('allows exactly the 63 approved historical tables to disappear', () => {
expect(APPROVED_RETIRED_TABLE_DELETIONS).toHaveLength(63);
expect(new Set(APPROVED_RETIRED_TABLE_DELETIONS).size).toBe(63);
const result = compareTables(
collectTables([...APPROVED_RETIRED_TABLE_DELETIONS]),
new Map(),
);
expect(result.failures).toEqual([]);
expect(result.schemaChanged).toBe(true);
expect(result.breakingChanged).toBe(false);
});
it('still rejects deletion of a table outside the approved list', () => {
const result = compareTables(
collectTables([APPROVED_RETIRED_TABLE_DELETIONS[0], 'active_table']),
new Map(),
);
expect(result.failures).toHaveLength(1);
expect(result.failures[0]).toMatch(/active_table.*被删除或改名/u);
expect(result.schemaChanged).toBe(true);
expect(result.breakingChanged).toBe(true);
});
it('does not suppress retained-table field deletion or rename checks', () => {
const baseTables = collectTablesFromSources([
{
path: `${sourceRoot}/ranks.rs`,
text: `#[spacetimedb::table(accessor = retained_deleted_field)]\npub struct RetainedDeletedField {\n pub id: u64,\n pub title: String,\n}\n`,
},
{
path: `${sourceRoot}/titles.rs`,
text: `#[spacetimedb::table(accessor = retained_renamed_field)]\npub struct RetainedRenamedField {\n pub id: u64,\n pub title: String,\n}\n`,
},
]).tables;
const currentTables = collectTablesFromSources([
{
path: `${sourceRoot}/ranks.rs`,
text: `#[spacetimedb::table(accessor = retained_deleted_field)]\npub struct RetainedDeletedField {\n pub id: u64,\n}\n`,
},
{
path: `${sourceRoot}/titles.rs`,
text: `#[spacetimedb::table(accessor = retained_renamed_field)]\npub struct RetainedRenamedField {\n pub id: u64,\n pub name: String,\n}\n`,
},
]).tables;
const result = compareTables(baseTables, currentTables);
expect(result.failures).toHaveLength(2);
expect(result.failures.join('\n')).toMatch(/字段数量减少/u);
expect(result.failures.join('\n')).toMatch(/字段被删除或改名/u);
expect(result.breakingChanged).toBe(true);
});
});
-353
View File
@@ -1,353 +0,0 @@
# Genarrative 作品列表 K6 压测
> 2026-07-18 退役:本文与本目录只保留旧公开作品 / gallery 压测历史,`container:k6` 和 compose `k6` 运行目标已经下线;不得把这些脚本用于当前容量验收或恢复旧业务接口。
本目录用于对“作品列表/公开广场”读接口做本地压测。数据源来自私有 SpacetimeDB migration,但提取脚本只输出作品 profile 白名单表,并对用户、作者、作品号、asset id 等标识做稳定映射。
## 文件
- `extract-works-list-data.mjs`:从 migration JSON 提取作品列表压测数据;本地输出也会脱敏路由 ID,因此默认用于列表接口压测,详情接口需先把同一份脱敏数据导入目标环境。
- `k6-works-list.js`:K6 压测脚本。
- `data/spacetime-migration-7.local.json`:本地私有原始数据副本,已被 `.gitignore` 忽略,不要提交。
- `data/works-list.local.json`:本地脱敏压测数据,已被 `.gitignore` 忽略,不要提交。
- `data/works-list.sample.json`:可提交的少量脱敏样例。
## 数据边界
允许导入的表:
- `puzzle_work_profile`
- `custom_world_profile`
- `match3d_work_profile`
- `square_hole_work_profile`
- `big_fish_work_profile`
- `visual_novel_work_profile`
明确不导入:
- 账号/认证:`user_account`、`auth_identity`、`refresh_session`、`auth_store_snapshot`
- 钱包/邀请:`profile_wallet_ledger`、`profile_redeem_*`、`profile_invite_*`
- 游玩历史/埋点/存档:`public_work_play_daily_stat`、`profile_played_world`、`puzzle_runtime_run`、`profile_save_archive`、`runtime_snapshot`
- AI 任务过程:`ai_task`、`ai_task_stage`、`ai_text_chunk`
- asset 二进制:`asset_object`、`asset_entity_binding`
提取脚本会移除 `source_session_id` / `source_agent_session_id` 等会话派生字段;这些字段不属于作品列表卡片压测必要字段。
## 重新提取数据
从仓库根目录执行:
```bash
npm run loadtest:extract-works -- \
--input scripts/loadtest/data/spacetime-migration-7.local.json \
--output scripts/loadtest/data/works-list.local.json \
--sample-output scripts/loadtest/data/works-list.sample.json
```
也可以直接执行:
```bash
node scripts/loadtest/extract-works-list-data.mjs \
--input scripts/loadtest/data/spacetime-migration-7.local.json \
--output scripts/loadtest/data/works-list.local.json \
--sample-output scripts/loadtest/data/works-list.sample.json
```
当前 local 全量提取结果:
- `puzzle_work_profile`: 80
- `custom_world_profile`: 1
- `match3d_work_profile`: 0
- `normalizedWorks`: 81
当前可提交 sample 结果:
- `puzzle_work_profile`: 3
- `custom_world_profile`: 1
- `match3d_work_profile`: 0
- `normalizedWorks`: 4
## 真实接口
已从 `server-rs/crates/api-server/src/app.rs` 确认的读接口:
公开接口,无需 Bearer token:
- `GET /api/runtime/puzzle/gallery`
- `GET /api/runtime/puzzle/gallery/{profile_id}`
- `GET /api/runtime/custom-world-gallery`
- `GET /api/runtime/custom-world-gallery/{owner_user_id}/{profile_id}`
- `GET /api/runtime/custom-world-gallery/by-code/{code}`
需要 Bearer token 的个人作品列表接口:
- `GET /api/runtime/puzzle/works`
- `GET /api/runtime/puzzle/works/{profile_id}`
- `GET /api/runtime/custom-world/works`
K6 脚本默认只跑公开列表接口;传入 `AUTH_TOKEN` 后会额外跑需要登录态的个人作品列表接口。当前真实列表 handler 未暴露分页/排序 query 参数,因此脚本不追加 `limit/offset`;若后续接口增加分页参数,再在 K6 中补随机分页。
详情接口默认不压测,因为本地数据中的 `profile_id` / `owner_user_id` 已脱敏,直接请求未导入脱敏数据的目标服务会 404。只有在目标环境已导入同一份脱敏数据,或改用真实 ID 本地文件时,才设置 `DETAIL_RATIO` 大于 0;详情请求不把 404 视为成功。
## 启动服务
按项目约定启动本地 dev 栈:
```bash
npm run dev
```
注意端口可能漂移。以启动日志中的实际 api-server 端口为准,然后传给 K6。
注意:K6 的 `open()` 会按 `k6-works-list.js` 所在目录解析相对路径,因此 `WORKS_DATA` 应写成 `data/works-list.local.json`,不要写成 `scripts/loadtest/data/works-list.local.json`。
Bash / Git Bash:
```bash
BASE_URL=http://127.0.0.1:<actual-api-port> WORKS_DATA=data/works-list.local.json npm run loadtest:k6:works -- --summary-trend-stats="avg,min,med,p(90),p(95),p(99),max"
```
PowerShell:
```powershell
$env:BASE_URL="http://127.0.0.1:<actual-api-port>"
$env:WORKS_DATA="data/works-list.local.json"
npm run loadtest:k6:works -- --summary-trend-stats="avg,min,med,p(90),p(95),p(99),max"
```
## 50 HTTP req/s 口径
`k6-works-list.js` 默认一次 iteration 会依次请求两个公开列表接口:`/api/runtime/puzzle/gallery` 和 `/api/runtime/custom-world-gallery`。因此目标约 50 HTTP req/s 时,`ramping-arrival-rate` 的 `PEAK_RPS` 应设置为 `25`。如果传入 `AUTH_TOKEN` 或把 `DETAIL_RATIO` 设为大于 0,每次 iteration 的请求数会增加,需要重新折算。
验收目标:
- `http_req_failed < 1%`
- `http_req_duration p95 < 2000ms`
- `dropped_iterations = 0`
- 压测窗口内 Nginx 无新增 502
## Smoke
```bash
BASE_URL=http://127.0.0.1:8787 \
WORKS_DATA=data/works-list.local.json \
SCENARIO=smoke \
DETAIL_RATIO=0 \
npm run loadtest:k6:works
```
默认:1 VU / 30s。
## Baseline
```bash
BASE_URL=http://127.0.0.1:8787 \
WORKS_DATA=data/works-list.local.json \
SCENARIO=baseline \
VUS=10 \
DURATION=3m \
DETAIL_RATIO=0 \
npm run loadtest:k6:works
```
默认阈值:
- `http_req_failed < 1%`
- `http_req_duration p95 < 800ms`
- `http_req_duration p99 < 1500ms`
- `works_list_shape_error_rate < 1%`
## Spike
```bash
BASE_URL=http://127.0.0.1:8787 \
WORKS_DATA=data/works-list.local.json \
SCENARIO=spike \
START_RPS=5 \
PEAK_RPS=25 \
HOLD=60s \
DETAIL_RATIO=0 \
npm run loadtest:k6:works
```
默认阈值:
- `http_req_failed < 1%`
- `http_req_duration p95 < 2000ms`
- `dropped_iterations = 0`
- `works_list_shape_error_rate < 1%`
PowerShell:
```powershell
$env:BASE_URL="https://genarrative.world"
$env:WORKS_DATA="data/works-list.local.json"
$env:SCENARIO="spike"
$env:START_RPS="5"
$env:PEAK_RPS="25"
$env:HOLD="60s"
$env:END_RPS="5"
$env:DETAIL_RATIO="0"
npm run loadtest:k6:works -- --summary-trend-stats="avg,min,med,p(90),p(95),p(99),max"
```
线上 release 回归可使用同一组环境变量:
```bash
SCENARIO=spike START_RPS=5 PEAK_RPS=25 HOLD=60s END_RPS=5 DETAIL_RATIO=0 npm run loadtest:k6:works
```
## 带登录态压测个人作品列表
先通过本地登录或接口获取 access token,然后传入:
```bash
BASE_URL=http://127.0.0.1:8787 \
AUTH_TOKEN='<access-token>' \
SCENARIO=smoke \
DETAIL_RATIO=0 \
npm run loadtest:k6:works
```
不要把 token 写入仓库文件、README 或 shell history 中可共享的位置。
## 详情接口压测
仅当目标环境存在 `WORKS_DATA` 中的同一批 `profileId/ownerUserId` 时启用:
```bash
BASE_URL=http://127.0.0.1:8787 \
WORKS_DATA=data/works-list.local.json \
SCENARIO=smoke \
DETAIL_RATIO=0.35 \
npm run loadtest:k6:works
```
如果详情请求返回 404,说明压测数据 ID 未导入目标环境或目标服务数据不一致,应先修正数据源,不要把 404 当成功。
## 排障
- 如果公开 gallery 返回 `creation_entry_disabled` 或 503,检查本地 creation entry 配置是否禁用了对应入口。
- 如果高压下返回 429,优先确认目标环境是否设置了 `GENARRATIVE_API_MAX_CONCURRENT_REQUESTS` 以及 `GENARRATIVE_API_GALLERY_MAX_CONCURRENT_REQUESTS`、`GENARRATIVE_API_DETAIL_MAX_CONCURRENT_REQUESTS`、`GENARRATIVE_API_ADMIN_MAX_CONCURRENT_REQUESTS`。429 表示 Nginx 或 api-server 背压已生效,不等同于业务错误;继续看内存、p95、`http_req_failed` 和 OTLP / Nginx timing 判断阈值是否偏低。
- 如果直连 `api-server` 压测出现 `connection refused` 或 status 0,说明压力已经打到 TCP 监听 / accept 层;此时同时检查 `GENARRATIVE_API_LISTEN_BACKLOG`、Nginx upstream keepalive 和是否需要在 Nginx 前置限流,不能只靠应用层背压解释。
- 如果个人作品列表返回 401,确认 `AUTH_TOKEN` 是当前 api-server 可识别的 access token。
- 如果详情全部 404,确认是否已向目标环境导入与 `WORKS_DATA` 一致的数据。
## 压测窗口采集
Nginx upstream timing:
```bash
sudo tail -f /var/log/nginx/genarrative.access.log
sudo tail -f /var/log/nginx/genarrative.error.log
```
api-server 与 SpacetimeDB 日志:
```bash
sudo journalctl -u genarrative-api.service -f
sudo journalctl -u spacetimedb.service -f
```
api-server 的 OpenTelemetry 在生产与容器模板里默认开启。需要临时关闭时,显式把 `GENARRATIVE_OTEL_ENABLED=false`;需要验证 OTLP traces / metrics / logs 时,先在服务器本机启动只监听 `127.0.0.1` 的 `otelcol-contrib` debug exporter:
```bash
npm run otel:debug
```
如果要把本机数据转发给 Rider OpenTelemetry 面板,先在 Rider 的 OpenTelemetry 设置中启用固定 OTLP server port,例如 `17011`,再运行:
```bash
RIDER_OTLP_GRPC_ENDPOINT=127.0.0.1:17011 npm run otel:rider
```
脚本会在 `.codex-temp/otelcol/` 生成临时 collector 配置,默认接收 api-server 发到 `http://127.0.0.1:4318` 的 OTLP HTTP 数据。需要改端口时可设置:
- `OTELCOL_OTLP_HTTP_ENDPOINT`,默认 `127.0.0.1:4318`
- `OTELCOL_OTLP_GRPC_ENDPOINT`,默认 `127.0.0.1:4317`
- `RIDER_OTLP_GRPC_ENDPOINT`,默认 `127.0.0.1:17011`
- `OTELCOL_BIN`,默认 `otelcol-contrib`
等价的 debug collector 配置如下:
```yaml
receivers:
otlp:
protocols:
grpc:
endpoint: 127.0.0.1:4317
http:
endpoint: 127.0.0.1:4318
exporters:
debug:
verbosity: detailed
service:
pipelines:
traces:
receivers: [otlp]
exporters: [debug]
metrics:
receivers: [otlp]
exporters: [debug]
logs:
receivers: [otlp]
exporters: [debug]
```
```bash
otelcol-contrib --config /etc/otelcol-contrib/genarrative-debug.yaml
```
然后在 `/etc/genarrative/api-server.env` 中打开:
```env
GENARRATIVE_OTEL_ENABLED=true
OTEL_SERVICE_NAME=genarrative-api
OTEL_EXPORTER_OTLP_ENDPOINT=http://127.0.0.1:4318
```
注意 `api-server` 当前使用 OTLP HTTP exporter,`OTEL_EXPORTER_OTLP_ENDPOINT` 必须指向 Collector 的 HTTP base endpoint `http://127.0.0.1:4318`。不要把它改成 Collector gRPC 端口 `4317`,也不要直接指向 Rider 的 gRPC 端口;Rider 只由 `npm run otel:rider` 启动的 Collector 通过 `RIDER_OTLP_GRPC_ENDPOINT` 转发。
OTLP logs 是远端观测增量,不替代本地日志;api-server 日志仍看 `journalctl` / `logs/api-server/`,Nginx 日志仍看文件。日志等级继续用 `GENARRATIVE_API_LOG` / `RUST_LOG` 控制,例如 `info,tower_http=info,spacetime_client=info`。
Rider 的 Logs 面板展示的是 OTLP log event 自身字段,不会自动把父 span 的全部 attributes 摊平到每一条日志。请求完成日志会直接携带 `request_id`、`http.request.method`、`http.route`、`url.scheme`、`url.path`、`http.response.status_code`、`status_class`、`latency_ms` 和 `slow_request`;更完整的请求链路仍在 Traces 面板中按同一个 trace/span 关联查看。
压测期间可在 Metrics 面板或 debug exporter 中观察进程内存指标:
- `process.memory.usage`:进程常驻内存 / RSS。
- `process.memory.virtual`:进程虚拟内存;Windows 当前按 `PrivateUsage` 上报,Linux 取 `VmSize`。
- `genarrative.process.memory.private`:进程私有内存,Windows 来自 `PrivateUsage`,Linux 近似取 `/proc/self/status` 的 `VmData`。
- `process.cpu.time`:进程 user + system 累计 CPU 秒数。
- `genarrative.process.cpu.usage_percent`:两次指标采集之间的进程 CPU 使用率;100% 约等于占满 1 个 CPU core。
- `process.thread.count`:线程数。
- `process.windows.handle.count`:Windows 句柄数。
- `process.unix.file_descriptor.count`:Linux 文件描述符数。
- `genarrative.http.server.response_bodies.in_flight`:Axum / Hyper 仍持有的响应 body 数;如果内存高但该值很低,说明热点不在业务 handler 生命周期内。
- `genarrative.http.server.request_permits.available`:应用层 HTTP 背压剩余 permit 数,带 `pool=default|gallery|detail|admin`;如果目标 pool 未接近 0,说明没有打满对应 `GENARRATIVE_API_*_MAX_CONCURRENT_REQUESTS`。
- `genarrative.puzzle_gallery.cache.hits` / `genarrative.puzzle_gallery.cache.stale_hits` / `genarrative.puzzle_gallery.cache.misses` / `genarrative.puzzle_gallery.cache.refreshes_started` / `genarrative.puzzle_gallery.cache.refreshes_failed` / `genarrative.puzzle_gallery.cache.rebuilds`:拼图广场响应缓存 fresh 命中、stale 命中、未命中、后台刷新和重建次数。
- `genarrative.puzzle_gallery.cache.rebuild.duration`:拼图广场缓存重建耗时。
- `genarrative.puzzle_gallery.cache.data_json_bytes`:拼图广场缓存内预序列化 data JSON 大小。
- `genarrative.spacetime.read.calls` / `genarrative.spacetime.read.duration_ms`:SpacetimeDB 订阅本地 cache 读次数和耗时;`read=list_puzzle_gallery` 表示当前路径走 view / local cache,不是 procedure。
若 `/api/runtime/puzzle/gallery` 单接口压测出现 GB 级瞬时内存峰值,先区分“持续泄漏”和“请求期分配峰值”:关闭 OTEL 后若峰值仍复现且压测结束后回落,主因通常不是 Collector / exporter。当前拼图广场列表命中缓存时应复用 `PuzzleGalleryCache` 中的预序列化 data JSON,只按请求拼接 envelope meta,不应每个请求重新深拷贝 `PuzzleGalleryResponse` 或构造完整 `serde_json::Value`。
本地 Windows 直连 `api-server` 压测还要单独看 K6 的 VU / 连接模型。已验证在 250 RPS、`PREALLOCATED_VUS=300` 时,哪怕打 `/healthz` 这种小响应,也可能因为本地 300 个 Established 连接触发 `api-server` private memory 瞬时升到约 7GB,压测结束后回落到 100MB 级;同样 250 RPS 改成 `PREALLOCATED_VUS=20 MAX_VUS=40` 后,拼图广场 p95 约 9ms,峰值降到约 600MB。这个现象说明高水位主要来自本机直连连接 / 发送链路,不等价于 SpacetimeDB 或拼图 JSON 缓存泄漏。做本地容量判断时优先让 VU 接近真实并发,避免用过高预分配 VU 把测试变成 Windows 本机连接缓冲压力测试;生产仍以 Nginx upstream keepalive、系统内存和 OTLP 指标一起判断。
线上回归辅助命令:
```bash
systemctl show genarrative-api.service -p LimitNOFILE -p TasksMax
cat /proc/$(pidof api-server)/limits
tr '\0' '\n' < /proc/$(pidof api-server)/environ | grep 'GENARRATIVE_API_.*MAX_CONCURRENT_REQUESTS'
ss -ltnp | grep 8082
curl -sS http://127.0.0.1:8082/healthz
```
## 验证命令
```bash
npx vitest run scripts/loadtest/extract-works-list-data.test.ts
npx eslint scripts/loadtest/extract-works-list-data.mjs scripts/loadtest/extract-works-list-data.test.ts scripts/loadtest/k6-works-list.js
```
@@ -1,208 +0,0 @@
{
"source": "spacetime-migration-1.json",
"generatedAt": "2026-05-16T13:35:40.282Z",
"counts": {
"puzzle_work_profile": 3,
"custom_world_profile": 1,
"match3d_work_profile": 0,
"square_hole_work_profile": 0,
"visual_novel_work_profile": 0
},
"tables": {
"puzzle_work_profile": [
{
"profile_id": "profile-001",
"work_id": "work-001",
"owner_user_id": "user-001",
"author_display_name": "author-001",
"cover_asset_id": "asset-001",
"cover_image_src": "/generated-puzzle-assets/puzzle-session-f38101d7277040fcb6fbc41fea8b714a/puzzle-session-f38101d7277040fcb6fbc41fea8b714a-candidate-2/asset-1777649330373133/image.png",
"work_title": "化学家",
"level_name": "文学家",
"summary": "几个文学家正站在山上面对着瀑布侃侃而谈",
"work_description": "一个穿着白大褂的化学家正在做酷炫的化学实验,背景是化学实验室",
"levels_json": "[{\"level_id\":\"puzzle-level-1777649242577-7\",\"level_name\":\"文学家\",\"picture_description\":\"几个文学家正站在山上面对着瀑布侃侃而谈\",\"candidates\":[{\"candidate_id\":\"puzzle-session-f38101d7277040fcb6fbc41fea8b714a-candidate-2\",\"image_src\":\"/generated-puzzle-assets/puzzle-session-f38101d7277040fcb6fbc41fea8b714a/puzzle-session-f38101d7277040fcb6fbc41fea8b714a-candidate-2/asset-1777649330373133/image.png\",\"asset_id\":\"asset-1777649330373133\",\"prompt\":\"几个文学家正站在山上面对着瀑布侃侃而谈\",\"actual_prompt\":\"请生成一张高清插画。画面主体:几个文学家正站在山上面对着瀑布侃侃而谈。画面…",
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"theme_tags_json": "[\"化学家\",\"拼图\",\"插画\",\"禁止标题字\"]",
"publication_status": {
"Published": []
},
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"updated_at": {
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},
"published_at": {
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}
},
{
"profile_id": "profile-002",
"work_id": "work-002",
"owner_user_id": "user-002",
"author_display_name": "author-002",
"work_title": "我不知道",
"level_name": "",
"summary": "你猜我是谁",
"work_description": "你猜我是谁",
"levels_json": "[{\"level_id\":\"puzzle-level-1\",\"level_name\":\"\",\"picture_description\":\"真不知道\",\"candidates\":[],\"selected_candidate_id\":null,\"cover_image_src\":null,\"cover_asset_id\":null,\"generation_status\":\"idle\"}]",
"anchor_pack_json": "{\"theme_promise\":{\"key\":\"themePromise\",\"label\":\"题材承诺\",\"value\":\"我不知道\",\"status\":\"Locked\"},\"visual_subject\":{\"key\":\"visualSubject\",\"label\":\"画面主体\",\"value\":\"真不知道\",\"status\":\"Locked\"},\"visual_mood\":{\"key\":\"visualMood\",\"label\":\"视觉气质\",\"value\":\"清晰、适合拼图切块\",\"status\":\"Inferred\"},\"composition_hooks\":{\"key\":\"compositionHooks\",\"label\":\"拼图记忆点\",\"value\":\"主体轮廓、色块分区、局部细节\",\"status\":\"Inferred\"},\"tags_and_forbidden\":{\"key\":\"tagsAndForbidden\",\"label\":\"标签与禁忌\",\"value\":\"我不知道、拼图、插画;禁止标题字\",\"status\":\"Inferred\"}}",
"theme_tags_json": "[\"我不知道\"]",
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{
"profile_id": "profile-003",
"work_id": "work-003",
"owner_user_id": "user-003",
"author_display_name": "author-002",
"work_title": "",
"level_name": "",
"summary": "",
"work_description": "",
"levels_json": "[{\"level_id\":\"puzzle-level-1\",\"level_name\":\"\",\"picture_description\":\"\",\"candidates\":[],\"selected_candidate_id\":null,\"cover_image_src\":null,\"cover_asset_id\":null,\"generation_status\":\"idle\"}]",
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"theme_tags_json": "[\"拼图\",\"插画\",\"清晰构图\"]",
"publication_status": {
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},
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],
"match3d_work_profile": [],
"square_hole_work_profile": [],
"visual_novel_work_profile": []
},
"profileIds": {
"puzzle": ["profile-001", "profile-002", "profile-003"],
"customWorld": ["profile-081"],
"match3d": [],
"squareHole": [],
"bigFish": [],
"visualNovel": []
},
"workIds": {
"puzzle": ["work-001", "work-002", "work-003"],
"customWorld": [],
"match3d": [],
"squareHole": [],
"bigFish": [],
"visualNovel": []
},
"normalizedWorks": [
{
"type": "puzzle",
"workId": "work-001",
"profileId": "profile-001",
"ownerUserId": "user-001",
"title": "化学家",
"subtitle": "几个文学家正站在山上面对着瀑布侃侃而谈",
"publicationStatus": {
"Published": []
},
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"updatedAt": {
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}
},
{
"type": "puzzle",
"workId": "work-002",
"profileId": "profile-002",
"ownerUserId": "user-002",
"title": "我不知道",
"subtitle": "你猜我是谁",
"publicationStatus": {
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},
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"remixCount": 0,
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}
},
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"workId": "work-003",
"profileId": "profile-003",
"ownerUserId": "user-003",
"title": "",
"subtitle": "",
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},
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"remixCount": 0,
"updatedAt": {
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}
},
{
"type": "customWorld",
"profileId": "profile-081",
"ownerUserId": "user-002",
"title": "青春飞扬校园",
"subtitle": "反内卷的自由学习之旅",
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},
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}
}
]
}
@@ -1,208 +0,0 @@
{
"source": "spacetime-migration-1.json",
"generatedAt": "2026-05-18T11:54:04.280Z",
"counts": {
"puzzle_work_profile": 3,
"custom_world_profile": 1,
"match3d_work_profile": 0,
"square_hole_work_profile": 0,
"visual_novel_work_profile": 0
},
"tables": {
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{
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"work_id": "work-001",
"owner_user_id": "user-001",
"author_display_name": "author-001",
"cover_asset_id": "asset-001",
"cover_image_src": "/generated-puzzle-assets/puzzle-session-f38101d7277040fcb6fbc41fea8b714a/puzzle-session-f38101d7277040fcb6fbc41fea8b714a-candidate-2/asset-1777649330373133/image.png",
"work_title": "化学家",
"level_name": "文学家",
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"work_description": "一个穿着白大褂的化学家正在做酷炫的化学实验,背景是化学实验室",
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"theme_tags_json": "[\"拼图\",\"插画\",\"清晰构图\"]",
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],
"custom_world_profile": [
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"owner_user_id": "user-002",
"author_display_name": "author-012",
"author_public_user_code": "author-code-001",
"world_name": "青春飞扬校园",
"summary_text": "在现代校园中,玩家摆脱内卷,追求真实成长",
"subtitle": "反内卷的自由学习之旅",
"profile_payload_json": "{\"anchorContent\":null,\"anchorPack\":null,\"attributeSchema\":{\"generatedFrom\":{\"conflictCore\":\"与传统教育模式的冲突\",\"settingSummary\":\"在现代校园中,玩家摆脱内卷,追求真实成长\",\"tone\":\"积极向上,充满活力与创新\",\"worldName\":\"青春飞扬校园\",\"worldType\":\"CUSTOM\"},\"id\":\"schema:rpg-agent:1e15b44d:v1\",\"schemaVersion\":1,\"slots\":[{\"name\":\"知识储备\",\"slotId\":\"axis_a\"},{\"name\":\"创新思维\",\"slotId\":\"axis_b\"},{\"name\":\"社交能力\",\"slotId\":\"axis_c\"},{\"name\":\"抗压能力\",\"slotId\":\"axis_d\"},{\"name\":\"自我认知\",\"slotId\":\"axis_e\"},{\"name\":\"团队协作\",\"slotId\":\"axis_f\"}],\"worldId\":\"custom:青春飞扬校…",
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],
"match3d_work_profile": [],
"square_hole_work_profile": [],
"visual_novel_work_profile": []
},
"profileIds": {
"puzzle": ["profile-001", "profile-002", "profile-003"],
"customWorld": ["profile-081"],
"match3d": [],
"squareHole": [],
"bigFish": [],
"visualNovel": []
},
"workIds": {
"puzzle": ["work-001", "work-002", "work-003"],
"customWorld": [],
"match3d": [],
"squareHole": [],
"bigFish": [],
"visualNovel": []
},
"normalizedWorks": [
{
"type": "puzzle",
"workId": "work-001",
"profileId": "profile-001",
"ownerUserId": "user-001",
"title": "化学家",
"subtitle": "几个文学家正站在山上面对着瀑布侃侃而谈",
"publicationStatus": {
"Published": []
},
"playCount": 1,
"likeCount": 0,
"remixCount": 1,
"coverImageSrc": "/generated-puzzle-assets/puzzle-session-f38101d7277040fcb6fbc41fea8b714a/puzzle-session-f38101d7277040fcb6fbc41fea8b714a-candidate-2/asset-1777649330373133/image.png",
"updatedAt": {
"__timestamp_micros_since_unix_epoch__": 1777703338322544
}
},
{
"type": "puzzle",
"workId": "work-002",
"profileId": "profile-002",
"ownerUserId": "user-002",
"title": "我不知道",
"subtitle": "你猜我是谁",
"publicationStatus": {
"Draft": []
},
"playCount": 0,
"likeCount": 0,
"remixCount": 0,
"updatedAt": {
"__timestamp_micros_since_unix_epoch__": 1777619351714201
}
},
{
"type": "puzzle",
"workId": "work-003",
"profileId": "profile-003",
"ownerUserId": "user-003",
"title": "",
"subtitle": "",
"publicationStatus": {
"Draft": []
},
"playCount": 0,
"likeCount": 0,
"remixCount": 0,
"updatedAt": {
"__timestamp_micros_since_unix_epoch__": 1777622285252380
}
},
{
"type": "customWorld",
"profileId": "profile-081",
"ownerUserId": "user-002",
"title": "青春飞扬校园",
"subtitle": "反内卷的自由学习之旅",
"publicationStatus": {
"Draft": []
},
"playCount": 0,
"likeCount": 0,
"remixCount": 0,
"updatedAt": {
"__timestamp_micros_since_unix_epoch__": 1777532006629209
}
}
]
}
@@ -1,428 +0,0 @@
#!/usr/bin/env node
import { readFile, writeFile } from 'node:fs/promises';
import { basename } from 'node:path';
import { fileURLToPath } from 'node:url';
const ALLOWED_TABLES = new Set([
'puzzle_work_profile',
'custom_world_profile',
'match3d_work_profile',
'square_hole_work_profile',
'big_fish_work_profile',
'visual_novel_work_profile',
]);
const WORK_TABLE_TYPES = {
puzzle_work_profile: 'puzzle',
custom_world_profile: 'customWorld',
match3d_work_profile: 'match3d',
square_hole_work_profile: 'squareHole',
big_fish_work_profile: 'bigFish',
visual_novel_work_profile: 'visualNovel',
};
const TABLE_OUTPUT_ORDER = [
'puzzle_work_profile',
'custom_world_profile',
'match3d_work_profile',
'square_hole_work_profile',
'big_fish_work_profile',
'visual_novel_work_profile',
];
const WORK_TYPES = [
'puzzle',
'customWorld',
'match3d',
'squareHole',
'bigFish',
'visualNovel',
];
const SHORT_TEXT_LIMIT = 120;
const LONG_TEXT_LIMIT = 500;
const SENSITIVE_PATTERN =
/(token|secret|password|passwd|phone|wallet|credential|authorization|auth[_-]?key|api[_-]?key)/giu;
class StableMapper {
constructor(prefix) {
this.prefix = prefix;
this.values = new Map();
}
map(value) {
if (value === undefined || value === null || value === '') return value;
const key = String(value);
if (!this.values.has(key)) {
this.values.set(
key,
`${this.prefix}-${String(this.values.size + 1).padStart(3, '0')}`,
);
}
return this.values.get(key);
}
}
function createContext() {
return {
user: new StableMapper('user'),
session: new StableMapper('session'),
author: new StableMapper('author'),
authorCode: new StableMapper('author-code'),
publicWorkCode: new StableMapper('public-work-code'),
coverAsset: new StableMapper('asset'),
work: new StableMapper('work'),
profile: new StableMapper('profile'),
};
}
function createWorkTypeBuckets() {
return Object.fromEntries(WORK_TYPES.map((type) => [type, []]));
}
function unwrapSpacetimeOption(value) {
if (
value &&
typeof value === 'object' &&
!Array.isArray(value) &&
Object.keys(value).length === 1
) {
if (Object.prototype.hasOwnProperty.call(value, 'some')) return value.some;
if (Object.prototype.hasOwnProperty.call(value, 'none')) return undefined;
}
return value;
}
function truncateText(value, limit) {
if (value === undefined || value === null) return value;
const text = String(value).replace(/\s+/g, ' ').trim();
if (text.length <= limit) return text;
return `${text.slice(0, limit)}…`;
}
function redactSensitiveText(value) {
if (value === undefined || value === null) return value;
return String(value).replace(SENSITIVE_PATTERN, '[redacted]');
}
function sanitizeCoverImageSrc(value) {
const unwrapped = unwrapSpacetimeOption(value);
if (unwrapped === undefined || unwrapped === null || unwrapped === '')
return unwrapped;
const text = String(unwrapped);
if (text.startsWith('data:image/')) return '[redacted-data-image]';
let withoutQuery = text.split('?')[0].split('#')[0];
if (withoutQuery.length > 180)
withoutQuery = `${withoutQuery.slice(0, 180)}…`;
return withoutQuery;
}
function sanitizeLargeJson(value) {
const unwrapped = unwrapSpacetimeOption(value);
if (unwrapped === undefined || unwrapped === null) return unwrapped;
if (typeof unwrapped === 'string') {
return truncateText(redactSensitiveText(unwrapped), LONG_TEXT_LIMIT);
}
try {
return truncateText(
redactSensitiveText(JSON.stringify(unwrapped)),
LONG_TEXT_LIMIT,
);
} catch {
return truncateText(
redactSensitiveText(String(unwrapped)),
LONG_TEXT_LIMIT,
);
}
}
function firstDefined(row, keys) {
for (const key of keys) {
if (row[key] !== undefined && row[key] !== null) return row[key];
}
return undefined;
}
function sanitizeShortField(row, sanitized, key) {
if (row[key] !== undefined) {
sanitized[key] = truncateText(
unwrapSpacetimeOption(row[key]),
SHORT_TEXT_LIMIT,
);
}
}
function sanitizeWorkRow(row, ctx) {
const sanitized = {};
const profileId = unwrapSpacetimeOption(
firstDefined(row, ['profile_id', 'profileId']),
);
const workId = unwrapSpacetimeOption(
firstDefined(row, ['work_id', 'workId']),
);
if (profileId !== undefined)
sanitized.profile_id = ctx.profile.map(profileId);
if (workId !== undefined) sanitized.work_id = ctx.work.map(workId);
if (row.owner_user_id !== undefined) {
sanitized.owner_user_id = ctx.user.map(
unwrapSpacetimeOption(row.owner_user_id),
);
}
if (row.user_id !== undefined)
sanitized.user_id = ctx.user.map(unwrapSpacetimeOption(row.user_id));
if (row.author_display_name !== undefined) {
sanitized.author_display_name = ctx.author.map(
unwrapSpacetimeOption(row.author_display_name),
);
}
if (row.public_work_code !== undefined) {
sanitized.public_work_code = ctx.publicWorkCode.map(
unwrapSpacetimeOption(row.public_work_code),
);
}
if (row.author_public_user_code !== undefined) {
sanitized.author_public_user_code = ctx.authorCode.map(
unwrapSpacetimeOption(row.author_public_user_code),
);
}
if (row.cover_asset_id !== undefined) {
sanitized.cover_asset_id = ctx.coverAsset.map(
unwrapSpacetimeOption(row.cover_asset_id),
);
}
if (row.cover_image_src !== undefined)
sanitized.cover_image_src = sanitizeCoverImageSrc(row.cover_image_src);
for (const key of [
'title',
'work_title',
'level_name',
'world_name',
'summary',
'summary_text',
'description',
'work_description',
'subtitle',
]) {
sanitizeShortField(row, sanitized, key);
}
for (const key of [
'levels_json',
'profile_payload_json',
'anchor_pack_json',
'theme_tags_json',
]) {
if (row[key] !== undefined) sanitized[key] = sanitizeLargeJson(row[key]);
}
const passthroughKeys = [
'publication_status',
'publicationStatus',
'play_count',
'playCount',
'like_count',
'likeCount',
'remix_count',
'remixCount',
'updated_at',
'created_at',
'published_at',
'visibility',
'status',
'category',
'tags',
];
for (const key of passthroughKeys) {
if (row[key] !== undefined)
sanitized[key] = unwrapSpacetimeOption(row[key]);
}
return sanitized;
}
function normalizeWork(tableName, row) {
const type = WORK_TABLE_TYPES[tableName];
return {
type,
workId: row.work_id,
profileId: row.profile_id,
ownerUserId: row.owner_user_id,
publicWorkCode: row.public_work_code,
title: row.title ?? row.work_title ?? row.level_name ?? row.world_name,
subtitle:
row.subtitle ??
row.summary_text ??
row.summary ??
row.work_description ??
row.description,
publicationStatus:
row.publicationStatus ?? row.publication_status ?? row.status,
playCount: row.playCount ?? row.play_count ?? 0,
likeCount: row.likeCount ?? row.like_count ?? 0,
remixCount: row.remixCount ?? row.remix_count ?? 0,
coverImageSrc: row.cover_image_src,
updatedAt: row.updated_at,
};
}
function toRowsByTable(input) {
const tables = Array.isArray(input?.tables) ? input.tables : [];
const result = new Map();
for (const table of tables) {
if (!ALLOWED_TABLES.has(table?.name)) continue;
result.set(table.name, Array.isArray(table.rows) ? table.rows : []);
}
return result;
}
export function extractWorksListData(input, options = {}) {
const ctx = createContext();
const rowsByTable = toRowsByTable(input);
const outputTables = {};
const counts = {};
const profileIds = createWorkTypeBuckets();
const workIds = createWorkTypeBuckets();
const normalizedWorks = [];
for (const tableName of TABLE_OUTPUT_ORDER) {
const sourceRows = rowsByTable.get(tableName);
if (!sourceRows) continue;
const sanitizedRows = sourceRows.map((row) => sanitizeWorkRow(row, ctx));
outputTables[tableName] = sanitizedRows;
counts[tableName] = sanitizedRows.length;
const type = WORK_TABLE_TYPES[tableName];
if (type) {
for (const row of sanitizedRows) {
if (row.profile_id) profileIds[type].push(row.profile_id);
if (row.work_id) workIds[type].push(row.work_id);
normalizedWorks.push(normalizeWork(tableName, row));
}
}
}
return {
source: options.source ?? 'unknown',
generatedAt: options.generatedAt ?? new Date().toISOString(),
counts,
tables: outputTables,
profileIds,
workIds,
normalizedWorks,
};
}
function createSampleOutput(output, maxRowsPerTable = 3) {
const tables = {};
const counts = {};
const allowedWorkIds = new Set();
const allowedProfileIds = new Set();
for (const [tableName, rows] of Object.entries(output.tables)) {
tables[tableName] = rows.slice(0, maxRowsPerTable);
counts[tableName] = tables[tableName].length;
const type = WORK_TABLE_TYPES[tableName];
if (type) {
for (const row of tables[tableName]) {
if (row.work_id) allowedWorkIds.add(row.work_id);
if (row.profile_id) allowedProfileIds.add(row.profile_id);
}
}
}
const profileIds = Object.fromEntries(
Object.entries(output.profileIds).map(([type, ids]) => [
type,
ids.filter((id) => allowedProfileIds.has(id)).slice(0, maxRowsPerTable),
]),
);
const workIds = Object.fromEntries(
Object.entries(output.workIds).map(([type, ids]) => [
type,
ids.filter((id) => allowedWorkIds.has(id)).slice(0, maxRowsPerTable),
]),
);
const normalizedWorks = output.normalizedWorks
.filter(
(work) =>
allowedWorkIds.has(work.workId) ||
allowedProfileIds.has(work.profileId),
)
.slice(0, maxRowsPerTable * 6);
return {
...output,
counts,
tables,
profileIds,
workIds,
normalizedWorks,
};
}
function parseArgs(argv) {
const args = {};
for (let index = 0; index < argv.length; index += 1) {
const arg = argv[index];
if (arg === '--input' || arg === '--output' || arg === '--sample-output') {
const value = argv[index + 1];
if (!value || value.startsWith('--'))
throw new Error(`${arg} requires a value`);
args[arg.slice(2)] = value;
index += 1;
} else if (arg === '--help' || arg === '-h') {
args.help = true;
} else {
throw new Error(`Unknown argument: ${arg}`);
}
}
return args;
}
function usage() {
return 'Usage: node scripts/loadtest/extract-works-list-data.mjs --input <migration.json> --output <works-list.local.json> [--sample-output <works-list.sample.json>]';
}
export async function runCli(argv = process.argv.slice(2)) {
const args = parseArgs(argv);
if (args.help) {
console.log(usage());
return;
}
if (!args.input) throw new Error('Missing required --input. ' + usage());
if (!args.output) throw new Error('Missing required --output. ' + usage());
const raw = await readFile(args.input, 'utf8');
const migration = JSON.parse(raw);
const output = extractWorksListData(migration, {
source: basename(args.input),
});
await writeFile(args.output, `${JSON.stringify(output, null, 2)}\n`, 'utf8');
if (args['sample-output']) {
const sample = createSampleOutput(output);
await writeFile(
args['sample-output'],
`${JSON.stringify(sample, null, 2)}\n`,
'utf8',
);
}
console.log(
`works-list extracted: source=${output.source}, tables=${Object.keys(output.tables).length}, normalizedWorks=${output.normalizedWorks.length}`,
);
for (const [tableName, count] of Object.entries(output.counts)) {
console.log(` ${tableName}: ${count}`);
}
}
const isDirectRun =
process.argv[1] && fileURLToPath(import.meta.url) === process.argv[1];
if (isDirectRun) {
runCli().catch((error) => {
console.error(error instanceof Error ? error.message : String(error));
process.exitCode = 1;
});
}
@@ -1,296 +0,0 @@
import { execFile } from 'node:child_process';
import { mkdtemp, readFile, rm, writeFile } from 'node:fs/promises';
import { tmpdir } from 'node:os';
import path from 'node:path';
import { fileURLToPath } from 'node:url';
import { promisify } from 'node:util';
import { describe, expect, it } from 'vitest';
import { extractWorksListData } from './extract-works-list-data.mjs';
const execFileAsync = promisify(execFile);
const scriptPath = fileURLToPath(
new URL('./extract-works-list-data.mjs', import.meta.url),
);
const fixtureMigration = {
schema_version: 7,
tables: [
{
name: 'puzzle_work_profile',
rows: [
{
profile_id: 'profile-real-aaa',
work_id: 'work-real-aaa',
owner_user_id: 'owner-secret-123',
author_display_name: 'Alice Secret',
author_public_user_code: 'author-code-secret',
public_work_code: 'public-code-secret',
title: '超长标题'.repeat(20),
summary: 'summary '.repeat(80),
description: 'description '.repeat(120),
publication_status: 'published',
play_count: 42,
like_count: 7,
cover_asset_id: { some: 'asset-secret-cover' },
cover_image_src: {
some: 'https://cdn.example.test/cover.png?token=***&sig=abc',
},
levels_json: JSON.stringify({
secret: 'level-token-value',
data: 'x'.repeat(2000),
}),
theme_tags_json: JSON.stringify(['化学家', '实验室']),
remix_count: 2,
updated_at: '2026-05-01T00:00:00Z',
},
{
profile_id: 'profile-real-bbb',
work_id: 'work-real-bbb',
owner_user_id: 'owner-secret-123',
author_display_name: 'Alice Secret',
publication_status: 'draft',
play_count: 3,
},
],
},
{
name: 'custom_world_profile',
rows: [
{
profile_id: 'world-profile-secret',
work_id: 'world-work-secret',
owner_user_id: 'world-owner-secret',
title: '世界作品',
profile_payload_json: '{"large":"' + 'y'.repeat(2000) + '"}',
},
],
},
{
name: 'public_work_play_daily_stat',
rows: [
{
source_type: 'puzzle',
profile_id: 'profile-real-aaa',
owner_user_id: 'owner-secret-123',
user_id: 'player-secret-456',
source_session_id: 'session-secret-789',
played_day: '2026-05-01',
play_count: 12,
updated_at: '2026-05-02T00:00:00Z',
},
],
},
{
name: 'user_account',
rows: [
{
user_id: 'owner-secret-123',
phone: '+8613800138000',
auth_token: 'auth-token-secret',
wallet_balance: 999,
},
],
},
{
name: 'refresh_session',
rows: [
{
token: 'refresh-token-secret',
source_session_id: 'session-secret-789',
},
],
},
{
name: 'profile_wallet_ledger',
rows: [{ wallet_id: 'wallet-secret', amount: 100 }],
},
],
};
async function withTempDir(fn) {
const dir = await mkdtemp(path.join(tmpdir(), 'works-list-test-'));
try {
return await fn(dir);
} finally {
await rm(dir, { recursive: true, force: true });
}
}
describe('extractWorksListData', () => {
it('只保留作品 profile 白名单表,禁用的行为/敏感表不会出现在输出 JSON 字符串中', () => {
const output = extractWorksListData(fixtureMigration, {
source: 'fixture.local.json',
});
const serialized = JSON.stringify(output);
expect(Object.keys(output.tables).sort()).toEqual([
'custom_world_profile',
'puzzle_work_profile',
]);
expect(serialized).not.toContain('public_work_play_daily_stat');
expect(serialized).not.toContain('user_account');
expect(serialized).not.toContain('refresh_session');
expect(serialized).not.toContain('profile_wallet_ledger');
expect(serialized).not.toContain('+8613800138000');
expect(serialized).not.toContain('auth-token-secret');
expect(serialized).not.toContain('wallet-secret');
});
it('不会输出 owner/user/session/auth/token/phone/wallet 等敏感原值,owner 稳定映射', () => {
const output = extractWorksListData(fixtureMigration, {
source: 'fixture.local.json',
});
const serialized = JSON.stringify(output);
for (const secret of [
'owner-secret-123',
'player-secret-456',
'session-secret-789',
'Alice Secret',
'author-code-secret',
'public-code-secret',
'asset-secret-cover',
'SECRET_TOKEN',
]) {
expect(serialized).not.toContain(secret);
}
expect(output.tables.puzzle_work_profile[0].owner_user_id).toBe('user-001');
expect(output.tables.puzzle_work_profile[1].owner_user_id).toBe('user-001');
expect(output.tables.puzzle_work_profile[0].author_display_name).toBe(
'author-001',
);
expect(serialized).not.toContain('level-token-value');
});
it('puzzle 数据生成 profileIds/workIds 和 normalizedWorks,并保留列表展示字段', () => {
const output = extractWorksListData(fixtureMigration, {
source: 'fixture.local.json',
});
expect(output.source).toBe('fixture.local.json');
expect(output.generatedAt).toEqual(expect.any(String));
expect(output.counts.puzzle_work_profile).toBe(2);
expect(output.profileIds.puzzle).toEqual(['profile-001', 'profile-002']);
expect(output.workIds.puzzle).toEqual(['work-001', 'work-002']);
expect(output.normalizedWorks).toEqual(
expect.arrayContaining([
expect.objectContaining({
type: 'puzzle',
workId: 'work-001',
profileId: 'profile-001',
publicationStatus: 'published',
playCount: 42,
title: expect.any(String),
remixCount: 2,
}),
]),
);
expect(output.tables.puzzle_work_profile[0].cover_image_src).toBe(
'https://cdn.example.test/cover.png',
);
expect(output.tables.puzzle_work_profile[0].theme_tags_json).toBe(
'["化学家","实验室"]',
);
});
it('data image、URL token 和绝对输入路径不会泄露到输出', async () => {
await withTempDir(async (dir) => {
const input = path.join(dir, 'migration.local.json');
const output = path.join(dir, 'works-list.local.json');
await writeFile(
input,
JSON.stringify({
tables: [
{
name: 'puzzle_work_profile',
rows: [
{
profile_id: 'profile-real',
work_id: 'work-real',
cover_image_src: {
some: 'data:image/png;base64,SECRET_IMAGE_BYTES',
},
levels_json: JSON.stringify({
token: 'SECRET_TOKEN_VALUE',
title: 'safe',
}),
},
],
},
],
}),
'utf8',
);
await execFileAsync(process.execPath, [
scriptPath,
'--input',
input,
'--output',
output,
]);
const extracted = JSON.parse(await readFile(output, 'utf8'));
const serialized = JSON.stringify(extracted);
expect(extracted.source).toBe('migration.local.json');
expect(serialized).not.toContain(dir);
expect(serialized).not.toContain('SECRET_IMAGE_BYTES');
expect(serialized).not.toContain('SECRET_TOKEN_VALUE');
expect(extracted.tables.puzzle_work_profile[0].cover_image_src).toBe(
'[redacted-data-image]',
);
});
});
it('sample-output 只输出少量脱敏样例', async () => {
await withTempDir(async (dir) => {
const input = path.join(dir, 'migration.local.json');
const output = path.join(dir, 'works-list.local.json');
const sampleOutput = path.join(dir, 'works-list.sample.json');
const manyRows = Array.from({ length: 5 }, (_, index) => ({
profile_id: `profile-real-${index}`,
work_id: `work-real-${index}`,
owner_user_id: `owner-secret-${index}`,
title: `作品 ${index}`,
publication_status: 'published',
play_count: index,
}));
await writeFile(
input,
JSON.stringify({
tables: [{ name: 'puzzle_work_profile', rows: manyRows }],
}),
'utf8',
);
await execFileAsync(process.execPath, [
scriptPath,
'--input',
input,
'--output',
output,
'--sample-output',
sampleOutput,
]);
const sample = JSON.parse(await readFile(sampleOutput, 'utf8'));
const serialized = JSON.stringify(sample);
expect(sample.tables.puzzle_work_profile).toHaveLength(3);
expect(sample.normalizedWorks).toHaveLength(3);
expect(serialized).not.toContain('owner-secret-0');
expect(serialized).not.toContain('work-real-0');
});
});
it('CLI 参数缺失时退出非 0 并输出清晰错误', async () => {
await expect(
execFileAsync(process.execPath, [scriptPath, '--input', 'missing.json']),
).rejects.toMatchObject({
code: 1,
stderr: expect.stringContaining('--output'),
});
});
});
-278
View File
@@ -1,278 +0,0 @@
/* global __ENV */
import { check, sleep } from 'k6';
import { SharedArray } from 'k6/data';
import http from 'k6/http';
import { Rate, Trend } from 'k6/metrics';
// k6 resolves open() paths relative to this script file, not the shell cwd.
const DEFAULT_WORKS_DATA = 'data/works-list.local.json';
const WORKS_DATA = __ENV.WORKS_DATA || DEFAULT_WORKS_DATA;
const BASE_URL = (__ENV.BASE_URL || 'http://127.0.0.1:8787').replace(
/\/+$/u,
'',
);
const AUTH_TOKEN = __ENV.AUTH_TOKEN || '';
const SCENARIO = __ENV.SCENARIO || 'smoke';
const REQUEST_TIMEOUT = __ENV.REQUEST_TIMEOUT || '30s';
const SLEEP_MIN_SECONDS = Number(__ENV.SLEEP_MIN_SECONDS || '0.5');
const SLEEP_MAX_SECONDS = Number(__ENV.SLEEP_MAX_SECONDS || '2');
const DETAIL_RATIO = Number(__ENV.DETAIL_RATIO || '0');
const worksListShapeErrorRate = new Rate('works_list_shape_error_rate');
const worksDetailShapeErrorRate = new Rate('works_detail_shape_error_rate');
const worksListDuration = new Trend('works_list_duration');
const worksDetailDuration = new Trend('works_detail_duration');
const data = new SharedArray('works-list-data', () => [
JSON.parse(open(WORKS_DATA)),
])[0];
const normalizedWorks = Array.isArray(data.normalizedWorks)
? data.normalizedWorks
: [];
const scenarioOptions = {
smoke: {
scenarios: {
smoke: {
executor: 'constant-vus',
vus: Number(__ENV.VUS || 1),
duration: __ENV.DURATION || '30s',
},
},
thresholds: {
http_req_failed: ['rate<0.01'],
http_req_duration: ['p(95)<800'],
works_list_shape_error_rate: ['rate<0.01'],
},
},
baseline: {
scenarios: {
baseline: {
executor: 'constant-vus',
vus: Number(__ENV.VUS || 10),
duration: __ENV.DURATION || '3m',
},
},
thresholds: {
http_req_failed: ['rate<0.01'],
http_req_duration: ['p(95)<800', 'p(99)<1500'],
works_list_shape_error_rate: ['rate<0.01'],
},
},
spike: {
scenarios: {
spike: {
executor: 'ramping-arrival-rate',
startRate: Number(__ENV.START_RPS || 5),
preAllocatedVUs: Number(__ENV.PREALLOCATED_VUS || 50),
maxVUs: Number(__ENV.MAX_VUS || 200),
timeUnit: '1s',
stages: [
{
target: Number(__ENV.PEAK_RPS || 25),
duration: __ENV.RAMP_UP || '30s',
},
{
target: Number(__ENV.PEAK_RPS || 25),
duration: __ENV.HOLD || '2m',
},
{
target: Number(__ENV.END_RPS || 5),
duration: __ENV.RAMP_DOWN || '30s',
},
],
},
},
thresholds: {
http_req_failed: ['rate<0.01'],
http_req_duration: ['p(95)<2000'],
dropped_iterations: ['count==0'],
works_list_shape_error_rate: ['rate<0.01'],
},
},
};
export const options = scenarioOptions[SCENARIO] || scenarioOptions.smoke;
const PUBLIC_ENDPOINTS = [
{
name: 'puzzle_gallery_list',
method: 'GET',
path: '/api/runtime/puzzle/gallery',
expectCollectionKeys: ['items', 'works', 'entries'],
},
{
name: 'custom_world_gallery_list',
method: 'GET',
path: '/api/runtime/custom-world-gallery',
expectCollectionKeys: ['entries', 'items', 'works'],
},
];
const AUTH_ENDPOINTS = [
{
name: 'puzzle_works_list',
method: 'GET',
path: '/api/runtime/puzzle/works',
expectCollectionKeys: ['items', 'works'],
},
{
name: 'custom_world_works_list',
method: 'GET',
path: '/api/runtime/custom-world/works',
expectCollectionKeys: ['items', 'entries', 'works'],
},
];
function requestParams(endpointName) {
const headers = { 'x-genarrative-response-envelope': 'v1' };
if (AUTH_TOKEN) headers.Authorization = `Bearer ${AUTH_TOKEN}`;
return {
headers,
timeout: REQUEST_TIMEOUT,
tags: { endpoint: endpointName },
};
}
function buildUrl(path) {
return `${BASE_URL}${path}`;
}
function parseJson(response) {
try {
return response.json();
} catch (_) {
return null;
}
}
function unwrapPayload(json) {
if (!json || typeof json !== 'object') return null;
if (json.data && typeof json.data === 'object') return json.data;
return json;
}
function hasCollection(payload, keys) {
return Boolean(payload) && keys.some((key) => Array.isArray(payload[key]));
}
function firstCollection(payload, keys) {
for (const key of keys) {
if (payload && Array.isArray(payload[key])) return payload[key];
}
return [];
}
function hasListItemShape(payload, keys) {
const collection = firstCollection(payload, keys);
if (collection.length === 0) return true;
const item = collection[0];
const hasId = Boolean(
item &&
(item.profileId ||
item.profile_id ||
item.workId ||
item.work_id ||
item.publicWorkCode),
);
const hasTitle = Boolean(
item &&
(item.title ||
item.workTitle ||
item.work_title ||
item.levelName ||
item.worldName),
);
return hasId && hasTitle;
}
function randomItem(items) {
if (!items.length) return null;
return items[Math.floor(Math.random() * items.length)];
}
function listEndpoints() {
return AUTH_TOKEN
? PUBLIC_ENDPOINTS.concat(AUTH_ENDPOINTS)
: PUBLIC_ENDPOINTS;
}
function detailEndpointFor(work) {
if (!work || !work.profileId) return null;
if (work.type === 'puzzle') {
return {
name: 'puzzle_gallery_detail',
path: `/api/runtime/puzzle/gallery/${encodeURIComponent(work.profileId)}`,
expectKeys: ['item', 'work', 'entry'],
};
}
if (work.type === 'customWorld' && work.profileId && work.ownerUserId) {
return {
name: 'custom_world_gallery_detail',
path: `/api/runtime/custom-world-gallery/${encodeURIComponent(work.ownerUserId)}/${encodeURIComponent(work.profileId)}`,
expectKeys: ['entry', 'item', 'work'],
};
}
return null;
}
function performListRequest(endpoint) {
const url = buildUrl(endpoint.path);
const response = http.request(
endpoint.method,
url,
null,
requestParams(endpoint.name),
);
worksListDuration.add(response.timings.duration, { endpoint: endpoint.name });
const json = parseJson(response);
const payload = unwrapPayload(json);
const ok = check(response, {
[`${endpoint.name} status is 200`]: (res) => res.status === 200,
[`${endpoint.name} returns json object`]: () => Boolean(payload),
[`${endpoint.name} has collection`]: () =>
hasCollection(payload, endpoint.expectCollectionKeys),
[`${endpoint.name} list item shape`]: () =>
hasListItemShape(payload, endpoint.expectCollectionKeys),
});
worksListShapeErrorRate.add(!ok, { endpoint: endpoint.name });
}
function performDetailRequest() {
const endpoint = detailEndpointFor(randomItem(normalizedWorks));
if (!endpoint) return;
const response = http.get(
buildUrl(endpoint.path),
requestParams(endpoint.name),
);
worksDetailDuration.add(response.timings.duration, {
endpoint: endpoint.name,
});
const json = parseJson(response);
const payload = unwrapPayload(json);
const ok = check(response, {
[`${endpoint.name} status is 200`]: (res) => res.status === 200,
[`${endpoint.name} has detail payload`]: () =>
Boolean(payload) && endpoint.expectKeys.some((key) => payload[key]),
});
worksDetailShapeErrorRate.add(!ok, { endpoint: endpoint.name });
}
export default function () {
for (const endpoint of listEndpoints()) {
performListRequest(endpoint);
}
if (
normalizedWorks.length &&
DETAIL_RATIO > 0 &&
Math.random() < DETAIL_RATIO
) {
performDetailRequest();
}
const jitter =
SLEEP_MIN_SECONDS +
Math.random() * Math.max(0, SLEEP_MAX_SECONDS - SLEEP_MIN_SECONDS);
sleep(jitter);
}