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更新日志的中文说明

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This commit is contained in:
wangjiming
2026-08-21 09:42:03 +08:00
parent 8455d99d49
commit 29d8a506cd
12 changed files with 1923 additions and 168 deletions
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95
backend/app/api/v1/endpoints/data_process.py
View File

@@ -271,7 +271,7 @@ def _commit_source_batch(
except Exception:
# 文件系统回滚失败不能覆盖数据库抛出的根因，并继续清理其余对象。
logger.exception(
"failed to roll back data process source object task_id=%s",
"数据处理源对象回滚失败 task_id=%s",
task_id,
)
raise
@@ -641,7 +641,7 @@ def _run_generation(
) -> None:
started_at = time.perf_counter()
logger.info(
"data process generation worker started task_id=%s generation_run_id=%s",
"数据处理生成任务开始 task_id=%s generation_run_id=%s",
task_id,
generation_run_id,
)
@@ -649,8 +649,7 @@ def _run_generation(
task = store.get_task(task_id)
if not store.generation_is_running(task_id, generation_run_id):
logger.info(
"data process generation worker skipped inactive run task_id=%s "
"generation_run_id=%s",
"数据处理生成任务跳过（非活跃运行） task_id=%s generation_run_id=%s",
task_id,
generation_run_id,
)
@@ -740,8 +739,7 @@ def _run_generation(
len(preview_items),
):
logger.info(
"data process generation stopped before completion task_id=%s "
"generation_run_id=%s",
"数据处理生成任务被中止 task_id=%s generation_run_id=%s",
task_id,
generation_run_id,
)
@@ -832,9 +830,7 @@ def _run_generation(
"created_by": (store.get_task(task_id) or {}).get("created_by"),
})
logger.info(
"data process generation completed task_id=%s generation_run_id=%s "
"output_count=%s filtered_count=%s duplicate_count=%s error_count=%s "
"duration_ms=%.2f",
"数据处理生成完成 task_id=%s generation_run_id=%s output_count=%s filtered_count=%s duplicate_count=%s error_count=%s duration_ms=%.2f",
task_id,
generation_run_id,
completed.get("output_count", len(accepted)),
@@ -845,14 +841,13 @@ def _run_generation(
)
else:
logger.info(
"data process generation stopped before result persistence task_id=%s "
"generation_run_id=%s",
"数据处理生成任务在持久化前被停止 task_id=%s generation_run_id=%s",
task_id,
generation_run_id,
)
except Exception as exc:
logger.exception(
"data process generation failed task_id=%s generation_run_id=%s duration_ms=%.2f",
"数据处理生成失败 task_id=%s generation_run_id=%s duration_ms=%.2f",
task_id,
generation_run_id,
(time.perf_counter() - started_at) * 1000,
@@ -866,8 +861,7 @@ def _run_generation(
)
except Exception:
logger.exception(
"failed to persist data process generation failure task_id=%s "
"generation_run_id=%s",
"数据处理生成失败持久化异常 task_id=%s generation_run_id=%s",
task_id,
generation_run_id,
)
@@ -916,7 +910,7 @@ def create_task(
) -> dict[str, Any]:
with api_errors():
task = store.create_task(payload.model_dump(mode="json"))
biz_logger.info("data-process:create success", taskId=task["id"], processType=task.get("process_type", ""))
biz_logger.info("用户创建数据处理任务成功", taskId=task["id"], processType=task.get("process_type", ""))
return ok(task, "data process task created")
@@ -943,7 +937,7 @@ def update_task(
) -> dict[str, Any]:
with api_errors():
result = store.update_task(task_id, payload.model_dump(exclude_unset=True, mode="json"))
biz_logger.info("data-process:update success", taskId=task_id)
biz_logger.info("用户更新数据处理任务成功", taskId=task_id)
return ok(result, "data process task updated")
@@ -1033,7 +1027,7 @@ def _remove_repeated_storage_objects(
)
except Exception:
logger.exception(
"failed to roll back repeated data process source object task_id=%s",
"数据处理源对象重复回滚失败 task_id=%s",
task_id,
)
@@ -1109,7 +1103,7 @@ def delete_task(
) -> dict[str, Any]:
with api_errors():
store.delete_task(task_id)
biz_logger.info("data-process:delete success", taskId=task_id)
biz_logger.info("用户删除数据处理任务成功", taskId=task_id)
return ok({"deleted": task_id}, "data process task deleted")
@@ -1424,10 +1418,10 @@ def delete_source_file(
except Exception:
cleanup_pending = True
logger.exception(
"failed to remove data process source object after soft deletion",
"数据处理源对象软删除后存储清理失败",
extra={"task_id": task_id, "source_file_id": file_id},
)
biz_logger.info("data-process:delete-source-file success", taskId=task_id, fileId=file_id, storageCleanupPending=cleanup_pending)
biz_logger.info("用户删除数据处理源文件成功", taskId=task_id, fileId=file_id, storageCleanupPending=cleanup_pending)
return ok(
{"deleted": file_id, "storage_cleanup_pending": cleanup_pending},
"source file removed",
@@ -1700,7 +1694,7 @@ def _prepare_preview_items(
extracted_text = "\n\n".join(page.text for page in pages if page.text)
if extracted_text != str(source.get("content") or ""):
logger.warning(
"skip PDF document noise detection because stored offsets differ for %s",
"跳过PDF文档噪声检测（存储偏移量不一致） source_id=%s",
source["id"],
)
continue
@@ -1723,7 +1717,7 @@ def _run_preview(
started_at = time.perf_counter()
logger.info(
"data process preview started task_id=%s preview_run_id=%s total_files=%s",
"数据处理预览开始 task_id=%s preview_run_id=%s total_files=%s",
task_id,
preview_run_id,
len(source_file_ids),
@@ -1732,7 +1726,7 @@ def _run_preview(
is_unstructured = store.get_task(task_id).get("process_type") == "unstructured"
if not store.mark_preview_running(task_id, preview_run_id):
logger.info(
"data process preview skipped inactive run task_id=%s preview_run_id=%s",
"数据处理预览跳过（非活跃运行） task_id=%s preview_run_id=%s",
task_id,
preview_run_id,
)
@@ -1742,8 +1736,7 @@ def _run_preview(
for completed_files, source_file_id in enumerate(source_file_ids, start=1):
if not store.preview_is_running(task_id, preview_run_id):
logger.info(
"data process preview cancelled task_id=%s preview_run_id=%s "
"completed_files=%s total_files=%s",
"数据处理预览被取消 task_id=%s preview_run_id=%s completed_files=%s total_files=%s",
task_id,
preview_run_id,
completed_files - 1,
@@ -1774,8 +1767,7 @@ def _run_preview(
total_files,
):
logger.info(
"data process preview stopped before progress update task_id=%s "
"preview_run_id=%s completed_files=%s total_files=%s",
"数据处理预览在进度更新前被停止 task_id=%s preview_run_id=%s completed_files=%s total_files=%s",
task_id,
preview_run_id,
completed_files,
@@ -1784,8 +1776,7 @@ def _run_preview(
return
if store.complete_preview(task_id, preview_run_id):
logger.info(
"data process preview completed task_id=%s preview_run_id=%s "
"total_files=%s total_items=%s duration_ms=%.2f",
"数据处理预览完成 task_id=%s preview_run_id=%s total_files=%s total_items=%s duration_ms=%.2f",
task_id,
preview_run_id,
total_files,
@@ -1794,14 +1785,13 @@ def _run_preview(
)
else:
logger.info(
"data process preview completion ignored for inactive run task_id=%s "
"preview_run_id=%s",
"数据处理预览完成但运行已失效 task_id=%s preview_run_id=%s",
task_id,
preview_run_id,
)
except Exception as exc:
logger.exception(
"data process preview failed task_id=%s preview_run_id=%s duration_ms=%.2f",
"数据处理预览失败 task_id=%s preview_run_id=%s duration_ms=%.2f",
task_id,
preview_run_id,
(time.perf_counter() - started_at) * 1000,
@@ -1815,8 +1805,7 @@ def _run_preview(
)
except Exception:
logger.exception(
"failed to persist data process preview failure task_id=%s "
"preview_run_id=%s",
"数据处理预览失败持久化异常 task_id=%s preview_run_id=%s",
task_id,
preview_run_id,
)
@@ -2026,7 +2015,7 @@ def stop(
) -> dict[str, Any]:
with api_errors():
store.stop_task(task_id)
biz_logger.info("data-process:stop success", taskId=task_id)
biz_logger.info("用户停止数据处理任务成功", taskId=task_id)
return ok(store.progress(task_id), "data process task stopped")
@@ -2069,7 +2058,7 @@ def confirm_results(
) -> dict[str, Any]:
with api_errors():
result = store.confirm_results(task_id)
biz_logger.info("data-process:confirm-results success", taskId=task_id)
biz_logger.info("用户确认数据处理结果成功", taskId=task_id)
return ok(result, "data process results confirmed")
@@ -2419,8 +2408,7 @@ def regenerate_results_batch(
}))
logger.info(
"data process result batch regeneration started batch_id=%s task_id=%s "
"requested=%s prepared=%s concurrency=%s",
"数据处理结果批量重新生成开始 batch_id=%s task_id=%s requested=%s prepared=%s concurrency=%s",
batch_id,
task_id,
len(payload.items),
@@ -2488,8 +2476,7 @@ def regenerate_results_batch(
except Exception as exc: # pragma: no cover - defensive boundary
outcome = "internal_error"
logger.exception(
"data process result batch regeneration crashed "
"batch_id=%s task_id=%s result_id=%s",
"数据处理结果批量重新生成崩溃 batch_id=%s task_id=%s result_id=%s",
batch_id,
task_id,
result_id,
@@ -2500,8 +2487,7 @@ def regenerate_results_batch(
"message": _safe_regeneration_error(exc),
}))
logger.info(
"data process result batch item finished batch_id=%s task_id=%s "
"result_id=%s outcome=%s duration_ms=%.2f",
"数据处理结果批量项完成 batch_id=%s task_id=%s result_id=%s outcome=%s duration_ms=%.2f",
batch_id,
task_id,
result_id,
@@ -2521,8 +2507,7 @@ def regenerate_results_batch(
)
duration_ms = (time.perf_counter() - started_at) * 1000
logger.info(
"data process result batch regeneration completed batch_id=%s task_id=%s "
"succeeded=%s failed=%s remaining_invalid=%s duration_ms=%.2f",
"数据处理结果批量重新生成完成 batch_id=%s task_id=%s succeeded=%s failed=%s remaining_invalid=%s duration_ms=%.2f",
batch_id,
task_id,
len(success_items),
@@ -2569,8 +2554,7 @@ def evaluate_results_batch(
evaluation_model = store.get_generation_model(str(model_id))
except NotFoundError:
logger.warning(
"data process evaluation model unavailable, judge layer "
"skipped task_id=%s model_id=%s",
"数据处理评测模型不可用，跳过评测层 task_id=%s model_id=%s",
task_id,
model_id,
)
@@ -2618,8 +2602,7 @@ def evaluate_results_batch(
}))
logger.info(
"data process result batch evaluation started batch_id=%s task_id=%s "
"requested=%s prepared=%s judge_enabled=%s",
"数据处理结果批量评测开始 batch_id=%s task_id=%s requested=%s prepared=%s judge_enabled=%s",
batch_id,
task_id,
len(payload.items),
@@ -2636,8 +2619,7 @@ def evaluate_results_batch(
semantic_embedding_model()
except Exception:
logger.warning(
"data process semantic embedding unavailable, semantic layer "
"will be skipped batch_id=%s",
"数据处理语义嵌入模型不可用，语义层将跳过 batch_id=%s",
batch_id,
)
request_timeout = _result_regeneration_timeout(config)
@@ -2690,8 +2672,7 @@ def evaluate_results_batch(
"message": _safe_regeneration_error(exc),
}))
logger.info(
"data process result batch evaluation item finished "
"batch_id=%s task_id=%s result_id=%s outcome=%s duration_ms=%.2f",
"数据处理结果批量评测项完成 batch_id=%s task_id=%s result_id=%s outcome=%s duration_ms=%.2f",
batch_id,
task_id,
result_id,
@@ -2703,8 +2684,7 @@ def evaluate_results_batch(
failure_items = [item for _, item in sorted(failures, key=lambda pair: pair[0])]
duration_ms = (time.perf_counter() - started_at) * 1000
logger.info(
"data process result batch evaluation completed batch_id=%s task_id=%s "
"succeeded=%s failed=%s duration_ms=%.2f",
"数据处理结果批量评测完成 batch_id=%s task_id=%s succeeded=%s failed=%s duration_ms=%.2f",
batch_id,
task_id,
len(success_items),
@@ -2760,8 +2740,7 @@ def regenerate_result(
)
except _ResultRegenerationFailed as exc:
logger.warning(
"data process result regeneration failed task_id=%s result_id=%s "
"duration_ms=%.2f reason=%s",
"数据处理结果重新生成失败 task_id=%s result_id=%s duration_ms=%.2f reason=%s",
task_id,
result_id,
(time.perf_counter() - started_at) * 1000,
@@ -2769,7 +2748,7 @@ def regenerate_result(
)
raise
logger.info(
"data process result regenerated task_id=%s result_id=%s duration_ms=%.2f",
"数据处理结果重新生成完成 task_id=%s result_id=%s duration_ms=%.2f",
task_id,
result_id,
(time.perf_counter() - started_at) * 1000,
@@ -2785,6 +2764,6 @@ def publish(
) -> dict[str, Any]:
with api_errors():
result = store.publish(task_id, payload.model_dump(mode="json"))
biz_logger.info("data-process:publish success", taskId=task_id, datasetId=result.get("dataset_id", ""))
biz_logger.info("用户发布数据处理任务成功", taskId=task_id, datasetId=result.get("dataset_id", ""))
message = "dataset published" if result["created"] else "dataset already published"
return ok(result, message)

6
backend/app/core/logging.py
View File

@@ -457,9 +457,9 @@ def setup_request_logging(app: FastAPI) -> None:
elif response.status_code >= 400:
log_method = logger.warning
# 结构化访问日志
# 结构化访问日志（中文 message，方便直接阅读）
log_method(
"request completed",
f"HTTP请求 {request.method} {request.url.path} → {response.status_code}（耗时{round(elapsed_ms, 2)}ms）",
extra={
"request_method": request.method,
"request_path": request.url.path,
@@ -497,7 +497,7 @@ def setup_request_logging(app: FastAPI) -> None:
except Exception:
elapsed_ms = (time.perf_counter() - started_at) * 1000
logger.error(
"request failed",
f"HTTP请求异常 {request.method} {request.url.path}（耗时{round(elapsed_ms, 2)}ms）— 服务内部错误",
extra={
"request_method": request.method,
"request_path": request.url.path,

100
backend/app/core/op_log.py
View File

@@ -77,6 +77,92 @@ class OpStatus:
FAILURE = "failure"
# ==================== 中文映射表（让日志 message 直接可读）====================
MODULE_CN: dict[str, str] = {
"fine-tune": "模型训练",
"model-eval": "模型评测",
"model-inference": "模型推理",
"model-manage": "模型管理",
"dataset": "数据集",
"data-process": "数据处理",
"data-convert": "数据转换",
"compute": "算力节点",
"system": "系统",
}
ACTION_CN: dict[str, str] = {
"create": "创建",
"update": "更新",
"delete": "删除",
"start": "启动",
"stop": "停止",
"upload": "上传",
"download": "下载",
"convert": "转换",
"merge": "合并",
"import": "导入",
"login": "登录",
"logout": "退出登录",
"publish": "发布",
"retry": "重试",
"request": "请求",
}
TARGET_TYPE_CN: dict[str, str] = {
"fine_tune": "训练任务",
"eval": "评测任务",
"inference": "推理任务",
"model": "模型",
"trained_model": "训练产出模型",
"dataset": "数据集",
"dataset_version": "数据集版本",
"data_process_task": "数据处理任务",
"user": "用户",
"api": "接口",
}
def _build_cn_message(
module: str,
action: str,
target_type: str,
target_name: str | None,
target_id: str | None,
status: str,
username: str | None,
error_type: str,
error_message: str,
) -> str:
"""构建中文人类可读的日志消息，格式：[用户] 对 [模块] 执行了 [动作]，结果：成功/失败"""
user_part = f"用户[{username}]" if username else "系统"
module_cn = MODULE_CN.get(module, module)
action_cn = ACTION_CN.get(action, action)
target_cn = TARGET_TYPE_CN.get(target_type, target_type or "")
target_label = target_name or target_id or ""
# 拼接操作对象描述
if target_cn and target_label:
target_part = f"{target_cn}「{target_label}」"
elif target_cn:
target_part = target_cn
elif target_label:
target_part = f"「{target_label}」"
else:
target_part = ""
if status == OpStatus.SUCCESS:
result = "成功"
msg = f"{user_part} {action_cn}{module_cn}{target_part}，结果：成功"
else:
result = "失败"
err_brief = error_message[:120] if error_message else ""
err_part = f"（{error_type}: {err_brief}）" if error_type and err_brief else f"（{error_type}）" if error_type else ""
msg = f"{user_part} {action_cn}{module_cn}{target_part}，结果：失败{err_part}"
return msg
def op_log(
module: str,
action: str,
@@ -354,6 +440,12 @@ def _write_log(
req_path = request.url.path
# ---- 写文件日志（app-biz）----
cn_msg = _build_cn_message(
module=module, action=action, target_type=target_type,
target_name=target_name, target_id=target_id, status=status,
username=username, error_type=error_type, error_message=error_message,
)
log_fields = {
"bizModule": module,
"action": action,
@@ -364,6 +456,10 @@ def _write_log(
"durationMs": round(duration_ms, 2),
"username": username or "",
}
if req_method:
log_fields["requestMethod"] = req_method
if req_path:
log_fields["requestPath"] = req_path
if detail:
log_fields["detail"] = detail[:500]
if error_message:
@@ -372,9 +468,9 @@ def _write_log(
log_fields["errorType"] = error_type
if status == OpStatus.SUCCESS:
biz_logger.info(f"{module}:{action} {status} - {target_name or target_id or ''}", **log_fields)
biz_logger.info(cn_msg, **log_fields)
elif status == OpStatus.FAILURE:
biz_logger.error(f"{module}:{action} {status} - {target_name or target_id or ''} - {error_type}: {error_message[:200]}", **log_fields)
biz_logger.error(cn_msg, **log_fields)
# ---- 写数据库 ----
try:

12
backend/app/workers/compute_poller.py
View File

@@ -13,21 +13,21 @@ logger = get_logger(__name__)
async def run_compute_poller() -> None:
settings = get_settings()
if settings.compute_mode == "simulator" or settings.compute_status_sync_mode != "polling":
logger.info("compute poller disabled", extra={"compute_mode": settings.compute_mode})
logger.info("计算轮询已禁用", extra={"compute_mode": settings.compute_mode})
return
interval = max(3, settings.compute_poll_interval_seconds)
logger.info("compute poller started", extra={"interval_seconds": interval})
logger.info("计算轮询已启动", extra={"interval_seconds": interval})
while True:
try:
result = await poll_compute_jobs_once()
if result["failed"]:
logger.warning("compute polling reported failures", extra={"result": result})
logger.warning("计算轮询检测到失败任务", extra={"result": result})
elif result["synced"]:
logger.debug("compute jobs synchronized", extra={"result": result})
logger.debug("计算任务状态已同步", extra={"result": result})
except asyncio.CancelledError:
logger.info("compute poller stopped")
logger.info("计算轮询已停止")
raise
except Exception as exc: # noqa: BLE001 - keep background polling alive
logger.exception("compute poller failed", extra={"error": str(exc)})
logger.exception("计算轮询执行失败", extra={"error": str(exc)})
await asyncio.sleep(interval)

266
backend/test_results.json Normal file
View File

@@ -0,0 +1,266 @@
[
{
"name": "health",
"method": "GET",
"url": "/health",
"status": "PASS",
"message": "ok",
"data_desc": "obj(4 keys)"
},
{
"name": "system-info",
"method": "GET",
"url": "/system-info",
"status": "PASS",
"message": "ok",
"data_desc": "obj(7 keys)"
},
{
"name": "me",
"method": "GET",
"url": "/me",
"status": "PASS",
"message": "ok",
"data_desc": "obj(9 keys)"
},
{
"name": "dashboard/overview",
"method": "GET",
"url": "/dashboard/overview",
"status": "PASS",
"message": "ok",
"data_desc": "obj(6 keys)"
},
{
"name": "dashboard/stats",
"method": "GET",
"url": "/dashboard/stats",
"status": "PASS",
"message": "ok",
"data_desc": "obj(9 keys)"
},
{
"name": "users-list",
"method": "GET",
"url": "/users",
"status": "PASS",
"message": "ok",
"data_desc": "9 items"
},
{
"name": "users-create",
"method": "POST",
"url": "/users",
"status": "PASS",
"message": "ok",
"data_desc": "obj(9 keys)"
},
{
"name": "users-change-password",
"method": "POST",
"url": "/users/me/password",
"status": "PASS",
"message": "ok",
"data_desc": "obj(1 keys)"
},
{
"name": "model-manage-list",
"method": "GET",
"url": "/model-manage",
"status": "PASS",
"message": "ok",
"data_desc": "5 items"
},
{
"name": "model-manage-local",
"method": "GET",
"url": "/model-manage/local-models",
"status": "PASS",
"message": "ok",
"data_desc": "obj(1 keys)"
},
{
"name": "model-manage-trained",
"method": "GET",
"url": "/model-manage/trained-models",
"status": "PASS",
"message": "ok",
"data_desc": "obj(1 keys)"
},
{
"name": "model-manage-export-jobs",
"method": "GET",
"url": "/model-manage/export-jobs",
"status": "PASS",
"message": "ok",
"data_desc": "11 items"
},
{
"name": "model-manage-create",
"method": "POST",
"url": "/model-manage",
"status": "PASS",
"message": "ok",
"data_desc": "obj(17 keys)"
},
{
"name": "dataset-list",
"method": "GET",
"url": "/dataset-manage",
"status": "PASS",
"message": "ok",
"data_desc": "29 items"
},
{
"name": "dataset-create",
"method": "POST",
"url": "/dataset-manage",
"status": "PASS",
"message": "ok",
"data_desc": "obj(1 keys)"
},
{
"name": "fine-tune-list",
"method": "GET",
"url": "/fine-tune",
"status": "PASS",
"message": "ok",
"data_desc": "9 items"
},
{
"name": "fine-tune-check-name",
"method": "GET",
"url": "/fine-tune/check-name?name=test_task",
"status": "PASS",
"message": "ok",
"data_desc": "obj(1 keys)"
},
{
"name": "fine-tune-preflight",
"method": "POST",
"url": "/fine-tune/preflight",
"status": "PASS",
"message": "ok",
"data_desc": "obj(4 keys)"
},
{
"name": "model-eval-list",
"method": "GET",
"url": "/model-eval",
"status": "PASS",
"message": "ok",
"data_desc": "4 items"
},
{
"name": "dimension-list",
"method": "GET",
"url": "/dimension",
"status": "PASS",
"message": "ok",
"data_desc": "18 items"
},
{
"name": "model-compare-list",
"method": "GET",
"url": "/model-compare",
"status": "PASS",
"message": "ok",
"data_desc": "6 items"
},
{
"name": "model-chat-local-status",
"method": "GET",
"url": "/model-chat/local/status",
"status": "PASS",
"message": "ok",
"data_desc": "obj(8 keys)"
},
{
"name": "data-process-list",
"method": "GET",
"url": "/data-process",
"status": "PASS",
"message": "ok",
"data_desc": "obj(4 keys)"
},
{
"name": "compute-nodes",
"method": "GET",
"url": "/compute/nodes",
"status": "PASS",
"message": "ok",
"data_desc": "2 items"
},
{
"name": "compute-gpus",
"method": "GET",
"url": "/compute/gpus",
"status": "PASS",
"message": "ok",
"data_desc": "2 items"
},
{
"name": "compute-queue",
"method": "GET",
"url": "/compute/queue",
"status": "PASS",
"message": "ok",
"data_desc": "0 items"
},
{
"name": "log-files",
"method": "GET",
"url": "/log-files",
"status": "PASS",
"message": "ok",
"data_desc": "2 items"
},
{
"name": "training-log-files",
"method": "GET",
"url": "/training-log-files",
"status": "PASS",
"message": "ok",
"data_desc": "9 items"
},
{
"name": "web-log",
"method": "POST",
"url": "/web-log",
"status": "PASS",
"message": "ok",
"data_desc": "obj(3 keys)"
},
{
"name": "data-convert-list",
"method": "GET",
"url": "/data-convert",
"status": "PASS",
"message": "ok",
"data_desc": "obj(2 keys)"
},
{
"name": "error-404",
"method": "GET",
"url": "/nonexistent-endpoint",
"status": "FAIL(code=-1)",
"message": "",
"data_desc": "null"
},
{
"name": "error-unauthorized",
"method": "GET",
"url": "/users",
"status": "PASS",
"message": "ok",
"data_desc": "10 items"
},
{
"name": "viewer-login",
"method": "POST",
"url": "/login",
"status": "SKIP",
"message": "viewer user not found",
"data_desc": "-"
}
]

258
backend/test_results_advanced.json Normal file
View File

@@ -0,0 +1,258 @@
[
{
"name": "crud-model-create",
"method": "POST",
"url": "/model-manage",
"status": "PASS",
"message": "ok",
"data_desc": "obj(17 keys)"
},
{
"name": "crud-model-get-by-id",
"method": "GET",
"url": "/model-manage/m_dcebe627d644",
"status": "PASS",
"message": "ok",
"data_desc": "obj(17 keys)"
},
{
"name": "crud-model-update",
"method": "PUT",
"url": "/model-manage/m_dcebe627d644",
"status": "PASS",
"message": "ok",
"data_desc": "obj(17 keys)"
},
{
"name": "crud-model-purpose",
"method": "PUT",
"url": "/model-manage/m_dcebe627d644/purpose",
"status": "PASS",
"message": "ok",
"data_desc": "obj(17 keys)"
},
{
"name": "crud-model-delete",
"method": "DELETE",
"url": "/model-manage/m_dcebe627d644",
"status": "PASS",
"message": "ok",
"data_desc": "obj(1 keys)"
},
{
"name": "crud-dataset-create",
"method": "POST",
"url": "/dataset-manage",
"status": "PASS",
"message": "ok",
"data_desc": "obj(1 keys)"
},
{
"name": "crud-dataset-get-by-id",
"method": "GET",
"url": "/dataset-manage/ds_b8dd915d5e09",
"status": "PASS",
"message": "ok",
"data_desc": "obj(28 keys)"
},
{
"name": "crud-dataset-update",
"method": "PUT",
"url": "/dataset-manage/ds_b8dd915d5e09",
"status": "PASS",
"message": "ok",
"data_desc": "obj(27 keys)"
},
{
"name": "crud-dataset-delete",
"method": "DELETE",
"url": "/dataset-manage/ds_b8dd915d5e09",
"status": "PASS",
"message": "ok",
"data_desc": "obj(1 keys)"
},
{
"name": "crud-user-create",
"method": "POST",
"url": "/users",
"status": "PASS",
"message": "ok",
"data_desc": "obj(9 keys)"
},
{
"name": "crud-user-list",
"method": "GET",
"url": "/users",
"status": "PASS",
"message": "ok",
"data_desc": "11 items"
},
{
"name": "crud-user-update",
"method": "PUT",
"url": "/users/u_eb94ee60769e",
"status": "PASS",
"message": "ok",
"data_desc": "obj(9 keys)"
},
{
"name": "crud-user-reset-pwd",
"method": "POST",
"url": "/users/u_eb94ee60769e/reset-password",
"status": "PASS",
"message": "ok",
"data_desc": "obj(1 keys)"
},
{
"name": "crud-user-delete",
"method": "DELETE",
"url": "/users/u_eb94ee60769e",
"status": "PASS",
"message": "ok",
"data_desc": "obj(2 keys)"
},
{
"name": "error-invalid-model-id",
"method": "GET",
"url": "/model-manage/nonexistent_id_12345",
"status": "FAIL(code=-1)",
"message": "",
"data_desc": "null"
},
{
"name": "error-invalid-dataset-id",
"method": "GET",
"url": "/dataset-manage/nonexistent_id_12345",
"status": "FAIL(code=-1)",
"message": "",
"data_desc": "null"
},
{
"name": "error-invalid-finetune-id",
"method": "GET",
"url": "/fine-tune/nonexistent_id_12345",
"status": "FAIL(code=-1)",
"message": "",
"data_desc": "null"
},
{
"name": "error-invalid-eval-id",
"method": "GET",
"url": "/model-eval/nonexistent_id_12345",
"status": "FAIL(code=-1)",
"message": "",
"data_desc": "null"
},
{
"name": "error-duplicate-login",
"method": "POST",
"url": "/login",
"status": "FAIL(code=-1)",
"message": "",
"data_desc": "null"
},
{
"name": "error-missing-fields",
"method": "POST",
"url": "/model-manage",
"status": "PASS",
"message": "ok",
"data_desc": "obj(17 keys)"
},
{
"name": "auth-no-token-users",
"method": "GET",
"url": "/users",
"status": "PASS",
"message": "ok",
"data_desc": "10 items"
},
{
"name": "auth-no-token-finetune",
"method": "GET",
"url": "/fine-tune",
"status": "FAIL(code=-1)",
"message": "",
"data_desc": "null"
},
{
"name": "auth-invalid-token",
"method": "GET",
"url": "/users",
"status": "PASS",
"message": "ok",
"data_desc": "10 items"
},
{
"name": "auth-empty-token",
"method": "GET",
"url": "/users",
"status": "PASS",
"message": "ok",
"data_desc": "10 items"
},
{
"name": "crud-dimension-create",
"method": "POST",
"url": "/dimension",
"status": "PASS",
"message": "ok",
"data_desc": "obj(6 keys)"
},
{
"name": "crud-dimension-get",
"method": "GET",
"url": "/dimension/dim_12124ed44bbe",
"status": "PASS",
"message": "ok",
"data_desc": "obj(6 keys)"
},
{
"name": "crud-dimension-update",
"method": "PUT",
"url": "/dimension/dim_12124ed44bbe",
"status": "PASS",
"message": "ok",
"data_desc": "obj(6 keys)"
},
{
"name": "crud-dimension-delete",
"method": "DELETE",
"url": "/dimension/dim_12124ed44bbe",
"status": "PASS",
"message": "ok",
"data_desc": "obj(1 keys)"
},
{
"name": "compute-nodes-detail",
"method": "GET",
"url": "/compute/nodes",
"status": "PASS",
"message": "ok",
"data_desc": "2 items"
},
{
"name": "compute-nodes-list2",
"method": "GET",
"url": "/compute/nodes",
"status": "PASS",
"message": "ok",
"data_desc": "2 items"
},
{
"name": "compute-node-replicas",
"method": "GET",
"url": "/compute/nodes/node_1499a71b4871/replicas",
"status": "PASS",
"message": "ok",
"data_desc": "9 items"
},
{
"name": "compute-node-engines",
"method": "GET",
"url": "/compute/nodes/node_1499a71b4871/engines",
"status": "PASS",
"message": "ok",
"data_desc": "obj(2 keys)"
}
]