Files
AgentLab/frontend/src/api/client.ts
T
ThearchyHelios 8059cd5147 Excel 导入改造期 1:止血与版本底座——写错的列名不再静默得 0,导入不再悄悄读错,每次上传生成不可变的版本,运行固定发起时的数据版本
连接层
- 所有 SQLite 数据源关闭双引号字符串兼容(DQS),写错的双引号列名直接报错;设置失败就拒绝连接,启动时自检
- 连接缓存按数据源加版本快照分键、按源整体失效、最多 32 个;版本快照以 immutable 只读打开,建连接前核对文件哈希,并在借出连接时核对文件指纹,被改过就拒绝查询
- 结构探查遇到取不了列的视图时逐个对象重取,只跳过坏的那个并注明原因

解析(新 xlsx_scan + tabular)
- 先流式扫描真实边界和版式(不信 dimension),再按边界读值,不整表进内存;按 Excel 自身上限设硬上限,并发解析最多两个
- 隐藏和深度隐藏的工作表不导入;稀疏区域、无缓存值的公式、同名工作表、DTD 拒收
- 去掉空行和两侧空列;列名表名统一规范化(新 names 模块)并保留原表头,撞名不再互相覆盖
- 前导零、超长数字按文本;千分位按数字;日期不带 T;带单位的数字文本写进回执
- 数字列混入非数字、交叉表和多块结构必须由用户决定(422),可选存空值或按原样导入(未规整);STRICT 建表,整份在一个事务里写完

版本底座(新 table_versions、raw_store)
- 每次上传写新库文件、落盘、0444,事务里写构建、导入记录、快照后才切指针;失败时旧版完整可查
- 原件按哈希存档,不提供下载,可以清除;上传源不许改连接字段、不再重新探查;手工 SQLite 源不许指向上传目录和应用自己的数据文件(按文件身份判断)
- 启动时清理半成品与孤儿文件、给老上传补初始版本;被运行引用的版本不回收,发起运行与回收互斥
- 上传接口的解析移到线程池

运行固定数据版本
- 发起时把图里(含子工作流)用到的上传源的当前快照记进运行记录和 run.started,续跑、审批恢复沿用;数据源工具按固定的快照生成描述、表结构并查询
- 固定的版本没了、源被删除后同名重建,都明确报错,不改用当前版本或同名的新源;查询快照记 data_version

证据层
- 新报告记 entity_syntax: 2,[[t:明细]]、[[c:明细.金额]] 和 SQL 里不加引号的中文表名都认得,名字按 SQLite 的口径查找;老报告按原规则复核,结果不变
- 写作规则改为中文表名、字段名一律用 [[t:]] / [[c:]];未规整的表在工具描述、写作目录和裁判摘录里标出

前端
- 上传弹窗接上导入前的决定(混合列、交叉表)和导入回执(跳过的隐藏表、类型转换、警告、原表头对照、未规整标记),上传前告知原件会保存
- 数据源卡片按 origin 认上传的表格,显示当前版本;上传的表格不再给「探查结构」
2026-10-01 13:42:04 +08:00

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TypeScript
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This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
import type {
Approval, AutofixResult, Conversation, ConversationDetail, ConversationTurn, CustomTool, DataSource, EvidenceGraph,
EvidenceAudit, EvidenceJudgeResult, EvidenceSegmentDetail, GraphSpec, KbDocument, MemoryItem, Provider, PublishCheck, PublishLevel, ReviewResult, Run,
RunEvent, RunStatus, Skill, ToolChange, ToolInfo, ToolTrust, UpgradeResult, UploadDecision, UploadMixedColumn, UploadResult,
UploadShapeReason, ValidationIssue, VarIssue, Variable, Workflow, WorkflowVersion,
} from '../types'
import { localActor } from '../lib/actor'
import { VALIDATION_TITLE, describeValidation } from '../lib/validation'
const BASE = '/api'
/**
* network:请求根本没到后端(没起、在重启、代理断了、超时没回)。
* http:后端回了错误状态码,message 是后端的 detail。
*/
export type ApiErrorKind = 'network' | 'http'
export const NETWORK_MESSAGE = '无法连接服务(服务端可能未启动或正在重启),请稍后重试'
export class ApiError extends Error {
kind: ApiErrorKind
/** 后端 detail 的原样(字符串、校验错误数组都可能) */
detail?: unknown
/** 原始报错文本,给「技术细节」和复制用 */
raw?: string
/** 超时断开时等了多久 */
timeoutMs?: number
/**
* 后端的机读码(app/api/coded.py 的 {detail, code},比如 datasource_scope_empty)。
* detail 是给人看的话,随时可能改写;要按错误种类分支的认这个
*/
code?: string
/**
* 后端要用户先拍板时随错误一起给的 {kind, details}(比如上传表格的 422:数字列混入非数字、
* 交叉表)。原样保留,按接口各自校验后再用(上传表格见 uploadDecision)
*/
decision?: unknown
constructor(
public status: number,
message: string,
opts?: { kind?: ApiErrorKind; detail?: unknown; raw?: string; timeoutMs?: number; code?: string; decision?: unknown },
) {
super(message)
this.name = 'ApiError'
this.kind = opts?.kind ?? (status === 0 ? 'network' : 'http')
this.detail = opts?.detail
this.raw = opts?.raw
this.timeoutMs = opts?.timeoutMs
this.code = opts?.code
this.decision = opts?.decision
}
}
/**
* 连接状态的旁听者:任何一次请求够着了后端(不管状态码)就报 true,网络层失败
* 报 false。catalog 靠它维护全站的「后端连没连上」,不用另起一路轮询去猜。
*/
type ConnectivityListener = (reachable: boolean, error?: ApiError) => void
const connectivity = new Set<ConnectivityListener>()
export function onConnectivity(listener: ConnectivityListener): () => void {
connectivity.add(listener)
return () => { connectivity.delete(listener) }
}
function report(reachable: boolean, error?: ApiError) {
for (const l of connectivity) {
try { l(reachable, error) } catch { /* 旁听者出错不能拖垮请求本身 */ }
}
}
function actorHeader(): Record<string, string> {
const actor = localActor()
// 请求头只能是 Latin-1:中文署名原样放进去,fetch 直接抛错、整个请求发不出去。
// 后端 runs.actor_of 解码,纯 ASCII 的老署名编码前后一样
return actor ? { 'X-Actor': encodeURIComponent(actor) } : {}
}
/**
* FastAPI 的 422 是 [{loc, msg, type}] 数组:直接 String() 是 [object Object],照拼 msg
* 又是 pydantic 的英文原文。按 type 翻成中文(lib/validation),path 用来查表单上的叫法
*/
function describeDetail(detail: unknown, path?: string): string {
if (typeof detail === 'string') return detail
if (Array.isArray(detail)) return `${VALIDATION_TITLE}:${describeValidation(detail, path).join(';')}`
// 对象形态的 detail 原样 JSON 化只会把一串花括号摆到提示里:界面只说无法识别,原文在调用方的 raw 里
return '请求失败,服务端返回了无法识别的错误信息'
}
/**
* 网关类失败(代理够不着后端)也算网络失败:vite 代理连不上后端时回 500 且响应体
* 为空,nginx 回 502/503/504 的 HTML。后端自己抛的 HTTPException 一定带 JSON detail。
*/
function isGatewayFailure(status: number, bodyText: string, isJson: boolean): boolean {
if (isJson) return false
if (status === 502 || status === 503 || status === 504) return true
return status === 500 && !bodyText.trim()
}
/**
* 后端交回模型用的改写指令:报告核对的 violations、助手自查的问题条目里带着 for_model。那是写给模型的
* 原话(「单元格要写成 Q<编号>.r<行>.<列>」这类),界面只显示给人看的 message。前端没有任何地方读它,
* 就在数据进来的地方去掉——原始事件、工件原文、展开详情这些直接显示 JSON 的地方也就不会露出来。
*/
const MODEL_NOTE = 'for_model'
function dropModelNotes(v: unknown): void {
if (Array.isArray(v)) {
for (const x of v) dropModelNotes(x)
} else if (v && typeof v === 'object') {
delete (v as Record<string, unknown>)[MODEL_NOTE]
for (const x of Object.values(v)) dropModelNotes(x)
}
}
/** 解析响应体;带 for_model 的(先按原文粗筛,不带的不走一遍)去掉它 */
export function parseBody(text: string): any {
const body = JSON.parse(text)
if (text.includes(`"${MODEL_NOTE}"`)) dropModelNotes(body)
return body
}
async function request<T>(path: string, init?: RequestInit & { timeoutMs?: number }): Promise<T> {
const { timeoutMs, ...rest } = init ?? {}
// 自己的超时和调用方的取消要分开:调用方取消照旧抛 AbortError(没人想看到
// 「连不上后端」),只有我们自己掐断的才算网络失败
let timer: ReturnType<typeof setTimeout> | undefined
let timedOut = false
let signal = rest.signal
if (timeoutMs) {
const ctrl = new AbortController()
timer = setTimeout(() => { timedOut = true; ctrl.abort() }, timeoutMs)
rest.signal?.addEventListener('abort', () => ctrl.abort())
signal = ctrl.signal
}
let res: Response
try {
res = await fetch(BASE + path, {
...rest,
signal,
headers: {
...(rest.body instanceof FormData ? {} : { 'Content-Type': 'application/json' }),
...actorHeader(),
...rest.headers,
},
})
} catch (e: any) {
if (timedOut) {
const err = new ApiError(0, `服务端 ${Math.round(timeoutMs! / 1000)} 秒未响应,请稍后重试`,
{ kind: 'network', raw: `timeout after ${timeoutMs}ms: ${path}`, timeoutMs })
report(false, err)
throw err
}
if (e?.name === 'AbortError') throw e
// fetch 的网络失败是 TypeError(Chrome「Failed to fetch」、Safari「Load failed」),
// 原文对用户毫无意义,收进 raw
const err = new ApiError(0, NETWORK_MESSAGE, { kind: 'network', raw: `${e?.name ?? 'Error'}: ${e?.message ?? e}` })
report(false, err)
throw err
} finally {
if (timer) clearTimeout(timer)
}
if (!res.ok) throw failure(res.status, res.statusText, await res.text().catch(() => ''), path)
report(true)
if (res.status === 204) return undefined as T
return parseBody(await res.text())
}
/** 后端 {detail, code} 里的机读码;没有就是 undefined */
const codeOf = (body: unknown): string | undefined => {
const code = body && typeof body === 'object' ? (body as { code?: unknown }).code : undefined
return typeof code === 'string' && code ? code : undefined
}
/** 后端 {detail, decision} 里要用户拍板的内容:是个对象就原样带上,没有就是 undefined */
const decisionOf = (body: unknown): unknown => {
const decision = body && typeof body === 'object' ? (body as { decision?: unknown }).decision : undefined
return decision && typeof decision === 'object' ? decision : undefined
}
const isObj = (v: unknown): v is Record<string, unknown> => !!v && typeof v === 'object' && !Array.isArray(v)
/**
* 上传表格被退回、要用户先选怎么处理(422 带 decision)时,取出那份决定;别的错误返回 null。
*
* 只认界面会画的两种(mixed、shape),而且逐项校验形状:后端以后多一种决定、或者字段对不上,
* 宁可当普通报错弹出那句话(detail 本身就是给人看的),也不画一个空的选择框让人照着点
*/
export function uploadDecision(e: unknown): UploadDecision | null {
if (!(e instanceof ApiError) || e.status !== 422 || !isObj(e.decision)) return null
const { kind, details } = e.decision as { kind?: unknown; details?: unknown }
if (!isObj(details)) return null
if (kind === 'mixed' && mixedColumns(details.columns)) {
return { kind, details: { columns: details.columns as unknown as UploadMixedColumn[] } }
}
if (kind === 'shape' && Array.isArray(details.reasons) && details.reasons.length
&& details.reasons.every((r) => isObj(r) && typeof r.message === 'string')) {
// 预告的混合列只是告知:形状对不上就不画,结构问题照常问
const mixed = mixedColumns(details.mixed) ? details.mixed as unknown as UploadMixedColumn[] : undefined
return {
kind,
details: {
reasons: (details.reasons as Record<string, unknown>[]).map((r) => ({
...r, cells: Array.isArray(r.cells) ? r.cells.map(String) : [],
}) as unknown as UploadShapeReason),
...(mixed ? { mixed, mixed_complete: details.mixed_complete !== false } : {}),
},
}
}
return null
}
/** 混合列清单的形状对不对:非空数组,每项有列名和取值数组 */
const mixedColumns = (v: unknown): boolean => Array.isArray(v) && v.length > 0
&& v.every((c) => isObj(c) && typeof c.column === 'string' && Array.isArray(c.values))
/** 非 2xx 的响应 → ApiError,顺带报告连接状态。fetch 和 XHR 两条路共用 */
function failure(status: number, statusText: string, text: string, path?: string): ApiError {
let body: any
let isJson = false
try { body = JSON.parse(text); isJson = true } catch { /* 响应体不是 JSON */ }
if (isGatewayFailure(status, text, isJson)) {
const err = new ApiError(status, NETWORK_MESSAGE, {
kind: 'network', raw: `${status} ${statusText}${text ? `\n${text.slice(0, 500)}` : ''}`,
})
report(false, err)
return err
}
report(true)
if (isJson) {
const detail = body?.detail ?? body
return new ApiError(status, describeDetail(detail, path), {
detail, raw: typeof body?.raw === 'string' ? body.raw : `${status} ${text.slice(0, 2000)}`,
code: codeOf(body), decision: decisionOf(body),
})
}
const message = status >= 500
? `服务端错误(${status}),详情请查看服务日志`
: `请求失败(HTTP ${status})`
return new ApiError(status, message, { raw: `${status} ${statusText}\n${text.slice(0, 2000)}` })
}
/** 上传进度。字节发完(sent)之后还要等后端解析、切块,那段没有进度可报 */
export interface UploadProgress {
/** 已经发出去的字节 */
loaded: number
/** 总字节;浏览器算不出来时为 null,这时只能画已发多少,不画百分比 */
total: number | null
/** 字节已经全部发完,在等后端处理 */
sent: boolean
}
export interface UploadOptions {
onProgress?: (p: UploadProgress) => void
signal?: AbortSignal
}
/**
* 带字节进度的上传。fetch 拿不到上传进度,只能用 XHR;报错、连接状态、署名头和
* request 走同一套,调用方看到的 ApiError 没有区别。取消照旧抛 AbortError。
*/
function upload<T>(path: string, form: FormData, opts?: UploadOptions): Promise<T> {
return new Promise<T>((resolve, reject) => {
const xhr = new XMLHttpRequest()
xhr.open('POST', BASE + path)
for (const [k, v] of Object.entries(actorHeader())) xhr.setRequestHeader(k, v)
const onProgress = opts?.onProgress
if (onProgress) {
// 进度事件里的字节数含 multipart 的边界和表头,比文件本身略大;发完那一下
// 沿用它的总数,前后两个数才对得上
let total: number | null = null
xhr.upload.onprogress = (e) => {
if (e.lengthComputable) total = e.total
onProgress({ loaded: e.loaded, total, sent: false })
}
xhr.upload.onload = () => {
const bytes = total ?? [...form.values()].reduce((n, v) => n + (v instanceof Blob ? v.size : 0), 0)
onProgress({ loaded: bytes, total: bytes || null, sent: true })
}
}
const abort = () => xhr.abort()
opts?.signal?.addEventListener('abort', abort)
const cleanup = () => opts?.signal?.removeEventListener('abort', abort)
xhr.onload = () => {
cleanup()
if (xhr.status < 200 || xhr.status >= 300) {
reject(failure(xhr.status, xhr.statusText, xhr.responseText ?? '', path))
return
}
report(true)
if (xhr.status === 204 || !xhr.responseText) { resolve(undefined as T); return }
try {
resolve(parseBody(xhr.responseText))
} catch {
reject(new ApiError(xhr.status, '无法解析服务端返回的内容', { raw: xhr.responseText.slice(0, 2000) }))
}
}
xhr.onerror = () => {
cleanup()
const err = new ApiError(0, NETWORK_MESSAGE, { kind: 'network', raw: `XMLHttpRequest error: POST ${path}` })
report(false, err)
reject(err)
}
xhr.onabort = () => {
cleanup()
reject(new DOMException('上传已取消', 'AbortError'))
}
if (opts?.signal?.aborted) { xhr.abort(); return }
xhr.send(form)
})
}
/**
* 数据源测连接的结果。ok=false 时 error 是一句人话、hint 是怎么办、detail 是
* 驱动的原始报错(放进「技术细节」)。
*/
export interface ConnectionTest {
ok: boolean
elapsed_ms?: number
url?: string
error?: string
hint?: string
detail?: string
[key: string]: any
}
/** 模型接入测试的结果,失败时的字段同 ConnectionTest */
export interface ProviderTest {
ok: boolean
latency_ms?: number
model?: string | null
reply?: string
usage?: Record<string, any>
error?: string
hint?: string
detail?: string
[key: string]: any
}
/** 还没保存的模型接入配置。带 id 表示在编辑已有的那个,api_key 留空沿用已存的 */
export interface ProviderDraft {
id?: string
name?: string
kind: string
base_url?: string | null
api_key?: string | null
models?: { id: string; label?: string; context?: number; pricing?: any }[]
default_model?: string | null
extra?: Record<string, any>
}
/** 探查结构的预览(dry_run):只看不存,缓存和同步时间都没动 */
export interface IntrospectPreview {
dry_run: true
/** 这次探的是哪个 schema,'' 是默认 schema */
schema: string
table_count: number
/** 带 schema 前缀的对象全名,最多 200 个 */
tables: string[]
truncated: boolean
total: number
schema_error: string
available_schemas: string[]
}
/** 一张表的结构化列信息(和给模型看的 detail 文本出自同一份缓存) */
export interface SchemaColumn {
name: string
type: string
pk: boolean
not_null: boolean
comment: string | null
}
export interface TableSchema {
table: string
/** 给模型看的那段文本 */
detail: string
/** 缓存里找没找到这张表。老后端没有这个字段:只有明确的 false 才算找不到 */
found?: boolean
qualified: string | null
kind: 'table' | 'view' | null
comment: string | null
/** 老后端没有,只有 detail */
columns?: SchemaColumn[]
}
/** 知识库检索的一条命中 */
export interface KbHit {
chunk_id: string
document_id: string
title: string
ordinal: number
content: string
score: number
signals?: Record<string, number>
/** 向量、关键词两路各贡献了多少分,两者之和等于 score。老后端不给 */
contrib?: { vector: number; keyword: number }
[key: string]: any
}
export interface KbSearchResult {
query: string
collection: string | null
results: KbHit[]
/** 这次检索降级了(比如退回纯关键词)的说明 */
degraded: string[]
/** 实际用的混合权重 */
alpha?: number
[key: string]: any
}
/**
* 后台重建索引的进度。phase:chunks(知识库切块)→ index(倒排,没有分批进度)→
* memories(长期记忆)→ done。total / done 是切块加记忆的合计
*/
export interface ReindexJob {
id: string
state: 'running' | 'done' | 'failed'
phase: 'chunks' | 'index' | 'memories' | 'done'
collection: string | null
total: number
done: number
chunks: { total: number; done: number }
memories: { total: number; done: number }
started_at: string
finished_at: string | null
error: string | null
hint: string | null
result: { reindexed: number; memories_reindexed: number; embedder: string; [key: string]: any } | null
}
/** runs.list 的 workflow_id 传它:只看没保存成工作流的那些运行(问数据页、画布上的临时图) */
export const UNSAVED_WORKFLOW_ID = '__none__'
/** 拼查询串:null / undefined / 空串跳过,数组用逗号连起来 */
function qs(params?: Record<string, unknown>): string {
if (!params) return ''
const q = new URLSearchParams()
for (const [k, v] of Object.entries(params)) {
if (v == null || v === '') continue
if (Array.isArray(v)) {
if (v.length) q.set(k, v.join(','))
} else {
q.set(k, String(v))
}
}
const s = q.toString()
return s ? `?${s}` : ''
}
/**
* 单次请求的选项。timeoutMs 到点就掐断并按网络失败抛出(带 timeoutMs):连得上但
* 卡着不回的接口(MCP 服务不应答时的 /tools)不能让调用方永远等下去,也不该一直
* 占着浏览器对同一主机的那几条连接
*/
export interface RequestOptions {
timeoutMs?: number
signal?: AbortSignal
}
const get = <T>(p: string, opts?: RequestOptions) => request<T>(p, opts)
const post = <T>(p: string, body?: unknown) =>
request<T>(p, { method: 'POST', body: JSON.stringify(body ?? {}) })
const patch = <T>(p: string, body: unknown) =>
request<T>(p, { method: 'PATCH', body: JSON.stringify(body) })
const put = <T>(p: string, body: unknown) =>
request<T>(p, { method: 'PUT', body: JSON.stringify(body) })
const del = (p: string) => request<void>(p, { method: 'DELETE' })
export const api = {
/** 心跳。带超时:后端卡死(连得上但不回)时也要能判成断开,而不是永远等下去 */
health: (timeoutMs = 5000) => request<{ status: string; service?: string }>('/health', { timeoutMs }),
system: () => get<any>('/system'),
// ---- 工作流 ----
workflows: {
list: (opts?: RequestOptions) => get<Workflow[]>('/workflows', opts),
get: (id: string) => get<Workflow>(`/workflows/${id}`),
create: (body: { name: string; description?: string; graph?: GraphSpec; tags?: string[] }) =>
post<Workflow>('/workflows', body),
update: (id: string, body: Partial<Workflow> & { note?: string }) =>
patch<Workflow>(`/workflows/${id}`, body),
remove: (id: string) => del(`/workflows/${id}`),
duplicate: (id: string) => post<Workflow>(`/workflows/${id}/duplicate`),
versions: (id: string) => get<WorkflowVersion[]>(`/workflows/${id}/versions`),
/** 某个版本的完整快照(含 graph)。正式运行的输入字段要从已发布版本取,不能取画布 */
version: (id: string, v: number) => get<WorkflowVersion>(`/workflows/${id}/versions/${v}`),
restore: (id: string, v: number) => post<Workflow>(`/workflows/${id}/versions/${v}/restore`),
publish: (id: string, level: 'published' | 'governed', version?: number) =>
post<{ ok: boolean; level?: string; version?: number; issues: any[] }>(
`/workflows/${id}/publish`, { level, version }),
validate: (graph: GraphSpec) =>
post<{ ok: boolean; issues: ValidationIssue[] }>('/workflows/validate', { graph }),
/**
* 发布前检查:validate 和发布门禁的并集,和真正发布同一套口径,另给每条问题的修复。
* 只读。不带 graph 就查库里的草稿。老后端没有这个接口(404),调用方按「不支持」处理
*/
publishCheck: (id: string, body: { level: PublishLevel; graph?: GraphSpec }, opts?: RequestOptions) =>
request<PublishCheck>(`/workflows/${id}/publish-check`,
{ method: 'POST', body: JSON.stringify(body), ...opts }),
/** 按选中的修复出一份预览(整张图 + 逐项改动)。只读:不存草稿、不发布。assist 时会调模型,可能要几十秒 */
autofix: (id: string, body: {
level: PublishLevel; graph?: GraphSpec; apply: string[]; choices?: Record<string, unknown>; assist?: boolean
}, opts?: RequestOptions) =>
request<AutofixResult>(`/workflows/${id}/autofix`, { method: 'POST', body: JSON.stringify(body), ...opts }),
/** 这张图里有哪些变量、谁产出、谁引用。纯静态分析,不需要跑过 */
variables: (graph: GraphSpec) =>
post<{ variables: Variable[]; issues: VarIssue[] }>('/workflows/variables', { graph }),
},
// ---- 运行 ----
datasources: {
list: (opts?: RequestOptions) => get<DataSource[]>('/datasources', opts),
kinds: () => get<any>('/datasources/kinds'),
create: (body: any) => post<any>('/datasources', body),
update: (id: string, body: any) => patch<any>(`/datasources/${id}`, body),
remove: (id: string) => del(`/datasources/${id}`),
test: (id: string) => post<ConnectionTest>(`/datasources/${id}/test`, {}),
/** 测一份还没保存的配置,只测连接不落库。编辑时带上 id,后端可以沿用已存的密码 */
testConfig: (body: any) => post<ConnectionTest>('/datasources/test', body),
/**
* 上传 Excel / CSV,变成一个可以用 SQL 查的数据源。同名发布新版本替换。onProgress 报字节进度。
*
* 解析器要用户先拍板时回 422,错误上带着 decision(用 uploadDecision 取);用户选完,带上
* 答案重传:mixed='null' 把数字列里的非数字存为空值,raw_mode=true 按原样导入(未规整)
*/
uploadTable: (file: File, body: {
name: string; description?: string; header_row?: number; mixed?: 'reject' | 'null'; raw_mode?: boolean
}, opts?: UploadOptions) => {
const form = new FormData()
form.append('file', file)
form.append('name', body.name)
form.append('description', body.description ?? '')
form.append('header_row', String(body.header_row ?? 1))
form.append('mixed', body.mixed ?? 'reject')
form.append('raw_mode', body.raw_mode ? 'true' : 'false')
return opts?.onProgress
? upload<UploadResult>('/datasources/upload', form, opts)
: request<UploadResult>('/datasources/upload', { method: 'POST', body: form, signal: opts?.signal })
},
introspect: (id: string, schema?: string) =>
post<any>(`/datasources/${id}/introspect${schema ? `?schema=${encodeURIComponent(schema)}` : ''}`, {}),
/** 换个 schema 看看:只返回探到的结果,不覆盖缓存(Copilot 看到的还是原来那份) */
previewSchema: (id: string, schema?: string) =>
post<IntrospectPreview>(`/datasources/${id}/introspect${qs({ schema, dry_run: 'true' })}`, {}),
schema: (id: string, table?: string) =>
get<any>(`/datasources/${id}/schema${table ? `?table=${encodeURIComponent(table)}` : ''}`),
/** 一张表的结构,带结构化的列信息,不用再去解析 detail 文本 */
tableSchema: (id: string, table: string) =>
get<TableSchema>(`/datasources/${id}/schema?table=${encodeURIComponent(table)}`),
},
runs: {
/**
* status 可以给多个(逗号连接);q 按工作流名模糊匹配;before 是翻页游标
* (上一页最后一条的 created_at);limit 上限 200。老后端不认的参数会被忽略。
*/
list: (params?: {
workflow_id?: string; status?: RunStatus | RunStatus[] | string; run_class?: 'formal' | 'exploratory'
q?: string; limit?: number; before?: string
}) => get<Run[]>(`/runs${qs(params)}`),
get: (id: string) => get<Run>(`/runs/${id}`),
/** 这次运行实际跑的那张图(运行时的快照),不是工作流现在的样子 */
graph: (id: string) => get<{ graph: GraphSpec; workflow_id: string | null; version: number | null }>(
`/runs/${id}/graph`),
start: (body: {
workflow_id?: string; graph?: GraphSpec; input?: Record<string, any>
memory_scope?: string; collection?: string
run_class?: 'formal' | 'exploratory'; version?: number
}) => post<Run>('/runs', body),
artifacts: (id: string) => get<any[]>(`/runs/${id}/artifacts`),
/** 从失败的节点接着跑。graph 只能带改过配置的同一张图,结构必须一致 */
continue: (id: string, graph?: GraphSpec | null) =>
post<Run>(`/runs/${id}/continue`, { graph: graph ?? null }),
// 等审批的运行直接收成 cancelled;在跑的要等引擎收尾,先回 stopping
cancel: (id: string) => post<{ ok: boolean; status?: 'stopping' | 'cancelled' }>(`/runs/${id}/cancel`),
/**
* 回复审批。approvalId 指明回复的是哪一条(一次运行里可能有几条同时等着)。
* 审批卡的「始终允许」走这里:response 多带 always,/approvals/{id}/decide 的请求体没有这一项
*/
resume: (id: string, response: any, approvalId?: string) =>
post<Run>(`/runs/${id}/resume`, approvalId ? { response, approval_id: approvalId } : { response }),
events: (id: string, after = 0) => get<RunEvent[]>(`/runs/${id}/events?after=${after}`),
state: (id: string) => get<any>(`/runs/${id}/state`),
history: (id: string) => get<any[]>(`/runs/${id}/history`),
/** 核对事件流和封存时的清单哈希:事后被改过、删过、插过都会对不上 */
verify: (id: string) => get<{ sealed: boolean; ok: boolean | null; message: string }>(
`/runs/${id}/verify`),
/** 运行中的删不了(409);封存过的正式运行要 force,否则也是 409,detail 写明后果 */
remove: (id: string, opts?: { force?: boolean }) =>
del(`/runs/${id}${opts?.force ? '?force=true' : ''}`),
},
approvals: {
/** 老写法 list('pending') 照旧可用。status 可逗号分隔,'all' 取全部 */
list: (params: string | { status?: string; run_id?: string; limit?: number } = 'pending', opts?: RequestOptions) =>
get<Approval[]>(`/approvals${qs(typeof params === 'string' ? { status: params } : { status: 'pending', ...params })}`, opts),
decide: (id: string, body: { approved: boolean; note?: string; value?: any; args?: any }) =>
post<Run>(`/approvals/${id}/decide`, body),
},
// ---- 设置 ----
providers: {
list: (opts?: RequestOptions) => get<Provider[]>('/providers', opts),
catalog: () => get<any>('/providers/catalog'),
create: (body: any) => post<Provider>('/providers', body),
update: (id: string, body: any) => patch<Provider>(`/providers/${id}`, body),
remove: (id: string) => del(`/providers/${id}`),
test: (id: string, body: { model?: string; prompt?: string }) =>
post<ProviderTest>(`/providers/${id}/test`, body),
/** 测一份还没保存的接入配置,不落库。model 不填用 default_model */
testConfig: (body: ProviderDraft & { model?: string | null; prompt?: string }) =>
post<ProviderTest>('/providers/test', body),
/** 问这个接入点有哪些模型(带鉴权调 /v1/models),省得手敲模型 id */
models: (body: ProviderDraft) =>
post<{ ok: boolean; models: string[]; url?: string; error?: string; hint?: string; detail?: string }>(
'/providers/models', body),
},
settings: {
get: () => get<Record<string, any>>('/settings'),
put: (values: Record<string, any>) => put<Record<string, any>>('/settings', { values }),
/** 今天(本地日期)结论句裁判花了多少:设置页放在每日上限旁边。只读,计数只有裁判自己记 */
judgeSpend: () => get<{ date?: string; usd?: number; calls?: number; unpriced_calls?: number
daily_max_usd?: number | null }>('/settings/judge/spend'),
},
// ---- 工具 ----
tools: {
list: (opts?: RequestOptions) => get<ToolInfo[]>('/tools', opts),
/** 危险工具要 confirm,否则后端回 409,detail 写明它会做什么 */
run: (name: string, args: Record<string, any>, opts?: { confirm?: boolean }) =>
post<any>(`/tools/${name}/run`, opts?.confirm ? { args, confirm: true } : { args }),
/** MCP / 自定义工具的信任档。key 是 ToolInfo.trust_key;设回 ask 等于删掉这一条 */
setTrust: (key: string, trust: ToolTrust) =>
put<{ key: string; trust: ToolTrust }>('/tools/trust', { key, trust }),
},
customTools: {
/** 每行带 problem:库里存着的参数定义写坏了时是一句中文,绑了它的节点一定失败 */
list: () => get<CustomTool[]>('/custom-tools'),
/** 参数定义写坏了回 422,detail 是一句中文(ApiError.message),显示在参数字段下面 */
create: (body: any) => post<CustomTool>('/custom-tools', body),
update: (id: string, body: any) => patch<CustomTool>(`/custom-tools/${id}`, body),
remove: (id: string) => del(`/custom-tools/${id}`),
test: (id: string, args: Record<string, any>) => post<any>(`/custom-tools/${id}/test`, { args }),
/** 试跑一份还没保存的配置,不落库。失败时回 {ok:false, error, hint, detail, duration_ms} */
testDraft: (body: {
name?: string; kind: string; parameters?: Record<string, any>; config?: Record<string, any>
args?: Record<string, any>
}) => post<any>('/custom-tools/test', body),
},
mcp: {
list: () => get<any[]>('/mcp/servers'),
create: (body: any) => post<any>('/mcp/servers', body),
update: (id: string, body: any) => patch<any>(`/mcp/servers/${id}`, body),
remove: (id: string) => del(`/mcp/servers/${id}`),
probe: (id: string) => post<any>(`/mcp/servers/${id}/probe`),
refresh: () => post<any>('/mcp/refresh'),
},
// ---- 沙箱 ----
sandbox: {
health: () => get<any>('/sandbox/health'),
exec: (body: { code: string; language?: string; timeout?: number; network?: boolean; memory_mb?: number }) =>
post<any>('/sandbox/exec', body),
},
// ---- 记忆 / 知识库 / Skill ----
memory: {
scopes: () => get<{ scope: string; count: number }[]>('/memory/scopes'),
list: (scope?: string) => get<MemoryItem[]>(`/memory${scope ? `?scope=${scope}` : ''}`),
add: (body: { content: string; scope?: string; kind?: string; importance?: number }) =>
post<MemoryItem>('/memory', body),
search: (q: string, scope = 'default', opts?: { peek?: boolean; limit?: number }) =>
get<any>(`/memory/search${qs({ q, scope, peek: opts?.peek ? 'true' : undefined, limit: opts?.limit })}`),
/**
* 回忆调试:默认 peek,只看不计数。真实召回会给命中项 use_count += 1 并影响
* 下次排序,调试台点几下就会把「被召回 N 次」抬高
*/
recall: (q: string, opts?: { scope?: string; peek?: boolean; limit?: number }) =>
get<any>(`/memory/search${qs({
q, scope: opts?.scope ?? 'default', peek: (opts?.peek ?? true) ? 'true' : undefined, limit: opts?.limit,
})}`),
/** 原地修改,保留来源和召回记录 */
update: (id: string, body: { content?: string; importance?: number; kind?: string }) =>
patch<MemoryItem>(`/memory/${id}`, body),
remove: (id: string) => del(`/memory/${id}`),
clearScope: (scope: string) => del(`/memory/scope/${scope}`),
},
kb: {
collections: (opts?: RequestOptions) =>
get<{ collection: string; documents: number; chunks: number }[]>('/kb/collections', opts),
documents: (collection?: string) =>
get<KbDocument[]>(`/kb/documents${collection ? `?collection=${collection}` : ''}`),
ingest: (body: { collection?: string; title?: string; content: string; source?: string }) =>
post<KbDocument>('/kb/documents', body),
/**
* 上传一份文档。给了 onProgress 就报真实的字节进度(XHR);字节发完以后是后端
* 在解析、切块,那段没有进度,调用方写「处理中」,不要把条拉满冒充完成
*/
upload: (file: File, collection = 'default', opts?: UploadOptions) => {
const form = new FormData()
form.append('file', file)
const path = `/kb/upload?collection=${encodeURIComponent(collection)}`
return opts?.onProgress
? upload<KbDocument>(path, form, opts)
: request<KbDocument>(path, { method: 'POST', body: form, signal: opts?.signal })
},
search: (q: string, collection?: string, alpha = 0.5) =>
get<KbSearchResult>(`/kb/search?q=${encodeURIComponent(q)}&alpha=${alpha}${collection ? `&collection=${encodeURIComponent(collection)}` : ''}`),
/** 上传框能收哪些文件。以后端解析器为准,免得界面放行了后端必拒的格式 */
formats: () => get<{
extensions: string[]; text: string[]; tabular: string[]; legacy: string[]; accept: string
}>('/kb/formats'),
/** 一份文档被切成了什么样。检索不准时第一个该看的就是它 */
document: (id: string) => get<{
document: KbDocument
chunks: {
id: string; ordinal: number; content: string; truncated: boolean
chars: number; token_len: number; embed_model: string; has_vector: boolean
}[]
}>(`/kb/documents/${id}`),
remove: (id: string) => del(`/kb/documents/${id}`),
embedding: (collection?: string) => get<{
embedder: string; dim: number; configured: boolean
kind: string; model: string; base_url: string
stale_chunks: number; stale_memories: number; unindexed_chunks: number
// has_semantics 看的是实际在用的那个;fallback = 配了语义模型却退回了本地哈希
has_semantics: boolean; fallback: boolean; fallback_reason: string
/** 运行时 kb_search 实际用的混合权重。调试台的滑块初值要跟它一致 */
default_alpha?: number
}>(`/kb/embedding${collection ? `?collection=${collection}` : ''}`),
setEmbedding: (body: { kind: string; model?: string; base_url?: string }) =>
put<{
embedder: string; dim: number
stale_chunks: number; stale_memories: number
}>('/kb/embedding', body),
probeEmbedding: (baseUrl: string) =>
get<{ base_url: string; models: string[] }>(
`/kb/embedding/probe?base_url=${encodeURIComponent(baseUrl)}`),
/** 等做完再返回。几千段配远端 embedding 要好几分钟,界面上用 startReindex */
reindex: (collection?: string) =>
post<{ reindexed: number; memories_reindexed: number; embedder: string }>(
`/kb/reindex${qs({ collection })}`),
/**
* 后台重建,立刻返回任务;进度用 reindexStatus 轮询。已经有一次在跑时回 409,
* detail 写着进度
*/
startReindex: (collection?: string) =>
post<ReindexJob>(`/kb/reindex${qs({ collection, background: 'true' })}`),
/** 最近一次重建的进度。进程里只记最近一次,还没重建过是 {state:'idle'} */
reindexStatus: () => get<ReindexJob | { state: 'idle' }>('/kb/reindex'),
},
skills: {
list: (opts?: RequestOptions) => get<Skill[]>('/skills', opts),
create: (body: Partial<Skill>) => post<Skill>('/skills', body),
update: (id: string, body: Partial<Skill>) => patch<Skill>(`/skills/${id}`, body),
remove: (id: string) => del(`/skills/${id}`),
},
// ---- 治理 ----
governance: {
toolUsage: (workflowId: string) =>
get<any>(`/governance/tool-usage?workflow_id=${workflowId}`),
clusters: () => get<any>('/governance/exploratory-clusters'),
},
artifact: (id: string) => get<{ id: string; content: any }>(`/artifacts/${id}`),
// ---- 可点击证据 ----
// 只认封存范围内的事件追得到的工件(后端 api/evidence.py)。老后端没有这两个接口,调用方按 404 降级
evidence: {
/** 整次运行的证据图:模式(cited / legacy_contract / none)、封存状态、报告和证据清单 */
graph: (runId: string, opts?: RequestOptions) =>
get<EvidenceGraph>(`/runs/${encodeURIComponent(runId)}/evidence`, opts),
/**
* 点开一个片段:所在的句子、指标步骤(原式、代入式、输入、复算)、封存状态。一次运行
* 里有好几份报告时 report 给报告节点 id(片段 id 每份文档各自从 s0 数起),不给取成果标注的那份
*/
segment: (runId: string, segmentId: string, opts?: RequestOptions & { report?: string }) =>
get<EvidenceSegmentDetail>(
`/runs/${encodeURIComponent(runId)}/evidence/segments/${encodeURIComponent(segmentId)}${qs({ report: opts?.report })}`,
opts),
/**
* 审计表:每个有状态的片段按状态分组(有出处 / 无证据 / 可疑实体 / 旧运行猜测),附上封存核对的结果。
* groups 只要这几组(none、suspicious…)
*/
audit: (runId: string, opts?: RequestOptions & { groups?: string[] }) =>
get<EvidenceAudit>(`/runs/${encodeURIComponent(runId)}/evidence/audit${qs({ groups: opts?.groups?.join(',') || undefined })}`, opts),
/**
* 按需裁判(四期,只在探索运行里有):请模型判断这几句结论。答复是 evidence.judged 事件的载荷
* (判定、花费、触顶的上限),判定标 post_seal:落在封存之后,不改封存的文档。正式运行回 409。
* 一次运行里有好几份报告时 report 给报告节点 id
*/
judge: (runId: string, body: { units: string[]; report?: string }) =>
post<EvidenceJudgeResult>(`/runs/${encodeURIComponent(runId)}/evidence/judge`, body),
/**
* 导出审计表:?format=json / csv 作为附件下载。回来的是文件本身和后端给的文件名
* (Content-Disposition;没给就用 evidence-<运行号前 8 位>.<格式>)
*/
auditExport: async (runId: string, format: 'json' | 'csv', groups?: string[]): Promise<{ blob: Blob; name: string }> => {
const path = `/runs/${encodeURIComponent(runId)}/evidence/audit${qs({ format, groups: groups?.join(',') || undefined })}`
let res: Response
try {
res = await fetch(BASE + path, { headers: actorHeader() })
} catch (e: any) {
const err = new ApiError(0, NETWORK_MESSAGE, { kind: 'network', raw: `${e?.name ?? 'Error'}: ${e?.message ?? e}` })
report(false, err)
throw err
}
if (!res.ok) throw failure(res.status, res.statusText, await res.text().catch(() => ''), path)
report(true)
const named = /filename\*?=(?:UTF-8'')?"?([^";]+)"?/i.exec(res.headers.get('Content-Disposition') ?? '')?.[1]
return { blob: await res.blob(), name: named ? decodeURIComponent(named) : `evidence-${runId.slice(0, 8)}.${format}` }
},
},
// ---- 会话 ----
conversations: {
/** includeArchived:连回收站里的一起取(每行的 archived 区分),回收站视图要它 */
list: (kind: 'chat' | 'canvas' = 'chat', workflowId?: string, opts?: { includeArchived?: boolean }) =>
get<Conversation[]>(
`/conversations?kind=${kind}`
+ (workflowId ? `&workflow_id=${encodeURIComponent(workflowId)}` : '')
+ (opts?.includeArchived ? '&include_archived=true' : '')),
create: (body: { kind?: 'chat' | 'canvas'; workflow_id?: string; title?: string }) =>
post<ConversationDetail>('/conversations', body),
get: (id: string) => get<ConversationDetail>(`/conversations/${id}`),
update: (id: string, body: { title?: string; archived?: boolean }) =>
patch<Conversation>(`/conversations/${id}`, body),
remove: (id: string) => del(`/conversations/${id}`),
startTurn: (id: string, question: string) =>
post<ConversationTurn>(`/conversations/${id}/turns`, { question }),
patchTurn: (id: string, turnId: string, body: Partial<ConversationTurn>) =>
patch<ConversationTurn>(`/conversations/${id}/turns/${turnId}`, body),
},
// ---- Copilot ----
copilot: {
generate: (body: {
instruction: string; base_graph?: GraphSpec | null
conversation_id?: string | null
/** 这一轮只查这几个数据源(id 或名字)。不传或空表示不限 */
datasource_ids?: string[] | null
}) =>
post<{
graph: GraphSpec; explanation: string; issues: ValidationIssue[]
layout?: { mode: 'keep' | 'full'; placed: string[] }
/** 改图前后都在、工具绑定却变了的节点和成员。老后端不给 */
tool_changes?: ToolChange[]
}>('/copilot/generate', body),
explain: (graph: GraphSpec) => post<{ explanation: string }>('/copilot/explain', { graph }),
layout: (graph: GraphSpec) => post<GraphSpec>('/copilot/layout', { graph }),
fromRun: (runId: string, name?: string) =>
post<any>('/copilot/from-run', { run_id: runId, name }),
getModel: () => get<{
configured: boolean; provider: string | null; model: string | null
effective_provider: string | null; effective_model: string | null
}>('/copilot/model'),
setModel: (body: { provider?: string | null; model?: string | null }) =>
put<any>('/copilot/model', body),
/** 跑完之后复核一次。干净的运行后端直接返回 verdict='ok',不调模型 */
review: (body: { run_id: string; question: string }) =>
post<ReviewResult>('/copilot/review', body),
/**
* 一键升级为可追溯结构:先按确定的规则改写(llm 换成报告撰写、问数据的图插入报告节点……),
* assist 时再交给 Copilot 改语义层。level 是复核门禁用的发布级别(受管的图,新写出的报告节点按受管的要求配)。
* 只给预览,不改库。老后端没有这个接口(404),调用方按「不支持」处理
*/
upgradeEvidence: (body: { graph: GraphSpec; assist?: boolean; level?: PublishLevel }, opts?: RequestOptions) =>
request<UpgradeResult>('/copilot/upgrade-evidence', { method: 'POST', body: JSON.stringify(body), ...opts }),
},
}
/**
* 流式生成工作流:SSE 逐操作回调,返回取消函数。
* 每个操作(add_node / add_edge / …)到达即回调,画布边收边长。
*/
export function streamCopilot(
body: {
instruction: string
base_graph?: GraphSpec | null
provider?: string | null
model?: string | null
/** answer = 用户在问问题(问数据页),build = 用户在描述流程(画布)*/
intent?: 'build' | 'answer'
/** 属于哪次对话。带上它,这一轮才知道前面聊过什么 */
conversation_id?: string | null
/** 这一轮只查这几个数据源(id 或名字)。不传或空表示不限 */
datasource_ids?: string[] | null
},
// final 操作里带 tool_changes(ToolChange[]):改图回执要显式列出工具绑定的变化
onOp: (op: any) => void,
// 开流之前就被拒(4xx/5xx)时第二个参数带状态码和后端的机读码({detail, code}),调用方按码分支
onEnd: (error?: string, info?: { status?: number; code?: string }) => void,
): () => void {
const controller = new AbortController()
void (async () => {
try {
const res = await fetch(`${BASE}/copilot/generate-stream`, {
method: 'POST',
headers: { 'Content-Type': 'application/json', ...actorHeader() },
body: JSON.stringify(body),
signal: controller.signal,
})
if (!res.ok || !res.body) {
const text = await res.text().catch(() => '')
let body: any
let isJson = false
try { body = JSON.parse(text); isJson = true } catch { /* 响应体不是 JSON */ }
if (isGatewayFailure(res.status, text, isJson)) {
report(false, new ApiError(res.status, NETWORK_MESSAGE, { kind: 'network' }))
onEnd(NETWORK_MESSAGE)
return
}
report(true)
onEnd(isJson ? describeDetail(body?.detail ?? body, '/copilot/generate-stream')
: res.status >= 500 ? `服务端错误(${res.status}),详情请查看服务日志`
: `请求失败(HTTP ${res.status})`, { status: res.status, code: isJson ? codeOf(body) : undefined })
return
}
report(true)
const reader = res.body.getReader()
const decoder = new TextDecoder()
let buffer = ''
for (;;) {
const { done, value } = await reader.read()
if (done) break
buffer += decoder.decode(value, { stream: true })
let idx: number
while ((idx = buffer.indexOf('\n\n')) >= 0) {
const frame = buffer.slice(0, idx)
buffer = buffer.slice(idx + 2)
if (!frame.startsWith('data: ')) continue
try {
onOp(parseBody(frame.slice(6)))
} catch { /* 半截帧,忽略 */ }
}
}
onEnd()
} catch (e: any) {
if (e?.name === 'AbortError') { onEnd(); return }
// 流到一半断了和一开始就连不上,对用户是一回事:后端够不着了
if (e instanceof TypeError) {
report(false, new ApiError(0, NETWORK_MESSAGE, { kind: 'network', raw: String(e) }))
onEnd(NETWORK_MESSAGE)
return
}
onEnd(e?.message ?? '连接中断,请重试')
}
})()
return () => controller.abort()
}
/**
* 订阅一次运行的事件流。
*
* 先补历史再接实时由后端保证,这里负责断线重连——重连时带上已收到的最大 seq。
*
* `after` 必须由调用方给:lastSeq 是这次调用的闭包局部量,跨调用会归零。
* 审批恢复时会重新 attachRun,不传 after 就是 after=0,后端按 `seq > after`
* 把整条历史再推一遍,而消费方多半是无条件追加——事件就这么重复累积了。
* 已经有事件在手的场景(重新接上一条运行)应当传当前最大 seq。
*/
export function streamRun(
runId: string,
onEvent: (event: RunEvent) => void,
// stream.end 带着运行的最终状态:连到一条已经不在进行中的运行(含 interrupted)
// 时,客户端靠它知道不会再有事件,不能一直当它还在跑
onClose?: (end?: { status?: RunStatus | string }) => void,
after = 0,
): () => void {
let socket: WebSocket | null = null
let closed = false
let lastSeq = after
let retry = 0
const connect = () => {
if (closed) return
const proto = location.protocol === 'https:' ? 'wss' : 'ws'
socket = new WebSocket(`${proto}://${location.host}/api/runs/${runId}/stream?after=${lastSeq}`)
socket.onmessage = (ev) => {
const event = parseBody(ev.data) as RunEvent & { type: string; status?: string }
if (event.type === 'stream.end') {
closed = true
socket?.close()
// 新后端放在 data.status,老后端放在顶层 status
onClose?.({ status: event.data?.status ?? event.status })
return
}
if (event.seq) lastSeq = Math.max(lastSeq, event.seq)
onEvent(event)
}
socket.onclose = () => {
if (closed) return
// 指数退避重连,最多等 5 秒
retry += 1
setTimeout(connect, Math.min(300 * 2 ** retry, 5000))
}
socket.onopen = () => {
retry = 0
report(true)
}
}
connect()
return () => {
closed = true
socket?.close()
}
}