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统一错误处理系统。在添加 API 端点、修改错误处理、添加前端 API 调用、编写错误相关测试时使用。
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统一错误处理系统。在添加 API 端点、修改错误处理、添加前端 API 调用、编写错误相关测试时使用。
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
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| name | error-handling |
| description | 统一错误处理系统。在添加 API 端点、修改错误处理、添加前端 API 调用、编写错误相关测试时使用。 |
| lastReviewed | "2026-07-09T00:00:00.000Z" |
Unified error handling system for DF. Use when adding API endpoints, modifying error handling, or adding frontend API calls.
Prerequisites: Read
docs/dev-guides/7-unified-error-handling.mdbefore changing API error behavior. Readdocs/dev-guides/2-log-sanitization.mdwhen the work involves logging, credentials, external services, or DataLoaders. If your work introduces new error handling patterns or conventions, update this file and related dev-guides accordingly.
Frontend Backend
──────── ───────
apiClient.ts errors.py
├── apiRequest() ←── JSON ──── ├── ErrorCode (enum)
├── streamRequest() ←── NDJSON ── └── AppError (exception)
└── parseStreamLine()
error_handler.py
errorCodes.ts ├── register_error_handlers(app)
└── getErrorMessage() ├── classify_and_wrap_llm_error()
└── stream_error_event()
errorHandler.ts
└── handleApiError() security/sanitize.py
└── classify_llm_error() (internal)
MessageSnackbar ← dfSlice.messages
Use this contract for all new or reworked DF APIs:
| Scenario | HTTP | Shape |
|---|---|---|
| Non-streaming success | 200 | {"status": "success", "data": ...} |
| Non-streaming business/validation error | 200 | {"status": "error", "error": {"code", "message", "retry", "request_id"}} |
| Non-streaming auth/authorization error | 401 / 403 | same structured error body |
| Streaming preflight error | 200 | application/json + {"status": "error", "error": ...} |
| Streaming in-flight fatal error | 200 | NDJSON line: {"type": "error", "error": ...} |
| No Flask route / too large / unhandled crash | 404 / 413 / 500 | transport-level error |
Do not use HTTP 400/422 for application validation errors in new code.
Do not convert in-flight NDJSON errors to status: "error"; once the stream has
started, event type is the protocol discriminator.
Application-controlled business and validation errors return HTTP 200 with
status: "error" in the body. Only these use non-200:
401/403 — auth errors (AUTH_REQUIRED, AUTH_EXPIRED, ACCESS_DENIED)404 — no matching Flask route413 — WSGI body limit exceeded500 — unhandled exception (program bug)from data_formulator.errors import AppError, ErrorCode
from data_formulator.error_handler import json_ok
@bp.route('/my-endpoint', methods=['POST'])
def my_endpoint():
content = request.get_json()
if not content.get('required_field'):
raise AppError(ErrorCode.INVALID_REQUEST, "Missing required_field")
try:
result = do_work(content)
except SomeBusinessError as e:
raise AppError(ErrorCode.DATA_LOAD_ERROR, "Failed to load data") from e
except Exception as e:
from data_formulator.error_handler import classify_and_wrap_llm_error
raise classify_and_wrap_llm_error(e) from e
return json_ok(result)
# Global handler returns: HTTP 200 + {"status": "error", "error": {code, message, retry}}
# Auth errors (AUTH_REQUIRED/AUTH_EXPIRED/ACCESS_DENIED) return 401/403
Legacy {"status": "error", "message": "..."}, error_message, bare {error},
and status: "ok" responses are historical formats. Do not add new compatibility
branches for them; migrate the route to json_ok() / AppError before using
apiRequest().
Validation MUST be outside the generator. Failures return 200 JSON (not NDJSON).
from data_formulator.errors import AppError, ErrorCode
from data_formulator.error_handler import (
classify_and_wrap_llm_error,
stream_error_event,
stream_preflight_error,
)
@bp.route('/my-stream', methods=['POST'])
def my_stream():
if not request.is_json:
return stream_preflight_error(
AppError(ErrorCode.INVALID_REQUEST, "Invalid request")
)
content = request.get_json()
client = get_client(content['model'])
def generate():
try:
for event in agent.run(...):
yield json.dumps(event, ensure_ascii=False) + "\n"
except Exception as e:
yield stream_error_event(classify_and_wrap_llm_error(e))
return Response(stream_with_context(generate()), mimetype='application/x-ndjson')
Streaming runtime errors intentionally use {"type": "error", "error": ...}.
They cannot use a top-level status envelope because the HTTP response and NDJSON
event stream have already started.
import { apiRequest } from "../app/apiClient";
import { handleApiError } from "../app/errorHandler";
try {
const { data } = await apiRequest<ResponseType>(getUrls().MY_ENDPOINT, {
method: "POST",
body: JSON.stringify(payload),
headers: { "Content-Type": "application/json" },
});
} catch (e) {
handleApiError(e, "MyComponent");
}
For UI loading state, model the request lifecycle explicitly with
LoadableState from src/app/loadableState.ts. Do not infer loading from
missing data (!data), because failed requests may legitimately leave data
empty while loading has ended.
import { streamRequest } from "../app/apiClient";
import { handleApiError } from "../app/errorHandler";
try {
for await (const event of streamRequest(
url,
options,
abortController.signal,
)) {
switch (event.type) {
case "text_delta":
break;
case "error":
// Error arrived mid-stream — show inline in component.
break;
case "done":
break;
}
}
} catch (e) {
handleApiError(e, "MyComponent");
}
handleApiError(e, "MyComponent", {
onAuth: () => redirectToLogin(), // AUTH_REQUIRED / AUTH_EXPIRED
onRetryable: () => retryOperation(), // LLM_RATE_LIMIT / LLM_TIMEOUT
silent: true, // don't show Snackbar (component handles display)
});
DF API consumers should use apiRequest() / streamRequest() and
handleApiError(). Direct fetchWithIdentity() is for lower-level client helpers
and explicit protocol exceptions such as file downloads, blob/CSV responses,
OIDC redirects, SPA fallback, or third-party URLs.
Do not apply the normal JSON API protocol mechanically to file downloads / CSV
streaming, SPA fallback, OIDC redirect flows, frontend fetches to third-party
URLs, or errors after a streaming response has already started. Check the route's
protocol first, then preserve safe error bodies and avoid str(exc) exposure.
Backend — Add to py-src/data_formulator/errors.py ErrorCode:
MY_NEW_ERROR = "MY_NEW_ERROR"
No HTTP mapping needed — defaults to HTTP 200. Only add to ERROR_CODE_HTTP_STATUS if it's an auth code.
Frontend mapping — Add to src/app/errorCodes.ts ERROR_CODE_I18N_MAP:
MY_NEW_ERROR: 'errors.myNewError',
Translations — Add to both locale files:
src/i18n/locales/en/errors.json: "myNewError": "English message"src/i18n/locales/zh/errors.json: "myNewError": "中文消息"All streaming endpoints are now on the unified protocol:
| Endpoint | Format | Notes |
|---|---|---|
/data-agent-streaming | NDJSON + stream_error_event() | Emits top-level type events; errors use {type:"error", error:{...}} |
/get-recommendation-questions | NDJSON + stream_error_event() | Was error: {json} prefix |
/generate-report-chat | Pure NDJSON + stream_error_event() | Was SSE data: {json} prefix |
/data-loading-chat | NDJSON + stream_error_event() | str(e) removed |
/clean-data-stream | NDJSON + stream_error_event() | Was \n{json}\n format |
Non-streaming endpoints:
| Endpoint | Error Format | Notes |
|---|---|---|
/chart-insight | AppError → HTTP 200 + {status:"error", error:{code,message,retry}} | Fully migrated. Frontend uses fetchChartInsight rejected reducer. |
| All migrated endpoints | AppError → HTTP 200 + unified error body | credentials, knowledge, sessions, tables, agents |
/derive-data, /refine-data, /sort-data, /process-data-on-load, /test-model | json_ok() / AppError | Migrated to new format |
Not all .catch(() => {}) are bugs. Use this decision tree:
addMessages or handleApiError().rejected handler with addMessagesif (action.error?.name !== 'AbortError')When consuming a migrated streaming endpoint, handle the current NDJSON event format directly:
const data = JSON.parse(line);
if (data.type === "error") {
const errMsg = data.error?.message || "Unknown error";
// show to user...
}
For table CRUD endpoints, use the specialized classifier:
from data_formulator.routes.tables import classify_and_raise_db_error
@tables_bp.route('/my-table-op', methods=['POST'])
def my_table_op():
try:
result = workspace.do_something()
return jsonify({"status": "success", "data": result})
except Exception as e:
classify_and_raise_db_error(e)
classify_and_raise_db_error maps common DB errors to appropriate AppError codes
(returned as HTTP 200 by the global handler, except ACCESS_DENIED → 403):
TABLE_NOT_FOUND (HTTP 200)INVALID_REQUEST (HTTP 200)ACCESS_DENIED (HTTP 403)CONNECTOR_ERROR (HTTP 200)For connector endpoints, use:
from data_formulator.data_connector import classify_and_raise_connector_error
except Exception as e:
classify_and_raise_connector_error(e, operation="preview")
Connector/DataLoader classification is intentionally simple and lives in
data_formulator.data_loader.connector_errors. It maps common failures to a
small stable set: INVALID_REQUEST, CONNECTOR_AUTH_FAILED, AUTH_EXPIRED,
ACCESS_DENIED, DB_CONNECTION_FAILED, DB_QUERY_ERROR, DATA_LOAD_ERROR,
or CONNECTOR_ERROR. Do not add endpoint-local string matching unless the
classifier cannot reasonably cover the category.
All JSON errors include error.request_id and an X-Request-Id response
header. Show/copy this ID for users when reporting backend failures; do not
show raw exception text in production. Unhandled 500 responses must never
include raw tracebacks, even in debug mode; return a safe category plus
request_id and keep full stack traces in server logs only.