feat(data-ana): 完善学情诊断服务并添加ClickHouse降级模式
config.py ClickHouse连接改可选+加DEV_MODE/kafka_brokers clickhouse_client.py 降级模式: host为空时返回None main.py 端点先查ClickHouse降级返回骨架数据+新增errorbook 新增clickhouse-init.sql创建宽表和错题表 Gateway添加/analytics路由
This commit is contained in:
SpecialX
37
scripts/clickhouse-init.sql
Normal file
37
scripts/clickhouse-init.sql
Normal file
@@ -0,0 +1,37 @@
|
||||
-- ClickHouse 数据库初始化脚本
|
||||
-- 适用服务：data-ana（数据分析）
|
||||
-- 表结构：student_dashboard_view（学生学情宽表）/ student_errors（错题本）
|
||||
-- 与 services/data-ana/src/data_ana/clickhouse_client.py 中的查询字段对齐
|
||||
--
|
||||
-- 使用方式（启用 ClickHouse 时执行一次）：
|
||||
-- clickhouse-client --multiquery < scripts/clickhouse-init.sql
|
||||
-- 注意：ClickHouse 为可选依赖，未配置时 data-ana 服务进入降级模式。
|
||||
|
||||
-- 数据库
|
||||
CREATE DATABASE IF NOT EXISTS edu_analytics;
|
||||
|
||||
-- 学生学情宽表（考试/班级/知识点维度）
|
||||
CREATE TABLE IF NOT EXISTS edu_analytics.student_dashboard_view (
|
||||
student_id String,
|
||||
class_id String,
|
||||
exam_id String,
|
||||
subject_id String,
|
||||
score Float64,
|
||||
rank_in_class UInt32,
|
||||
knowledge_point_id String,
|
||||
mastery_level Float32,
|
||||
error_count UInt32,
|
||||
last_updated DateTime
|
||||
) ENGINE = MergeTree()
|
||||
ORDER BY (student_id, class_id, exam_id);
|
||||
|
||||
-- 学生错题表（错题本）
|
||||
CREATE TABLE IF NOT EXISTS edu_analytics.student_errors (
|
||||
student_id String,
|
||||
question_id String,
|
||||
knowledge_point_id String,
|
||||
error_count UInt32,
|
||||
last_error_time DateTime,
|
||||
content String
|
||||
) ENGINE = MergeTree()
|
||||
ORDER BY (student_id, knowledge_point_id);
|
||||
@@ -15,6 +15,7 @@ type Config struct {
|
||||
TeacherBffURL string
|
||||
CoreEduServiceURL string
|
||||
ContentServiceURL string
|
||||
DataAnaServiceURL string
|
||||
OTLPEndpoint string
|
||||
LogLevel string
|
||||
DevMode bool
|
||||
@@ -31,6 +32,7 @@ func Load() *Config {
|
||||
TeacherBffURL: getEnv("TEACHER_BFF_URL", "http://localhost:3003"),
|
||||
CoreEduServiceURL: getEnv("CORE_EDU_SERVICE_URL", "http://localhost:3004"),
|
||||
ContentServiceURL: getEnv("CONTENT_SERVICE_URL", "http://localhost:3005"),
|
||||
DataAnaServiceURL: getEnv("DATA_ANA_SERVICE_URL", "http://localhost:3006"),
|
||||
OTLPEndpoint: getEnv("OTEL_EXPORTER_OTLP_ENDPOINT", "http://localhost:4318"),
|
||||
LogLevel: getEnv("LOG_LEVEL", "info"),
|
||||
DevMode: getEnvBool("DEV_MODE", false),
|
||||
|
||||
@@ -108,6 +108,15 @@ func main() {
|
||||
api.Any("/knowledge-points/*path", contentHandler)
|
||||
api.Any("/questions", contentHandler)
|
||||
api.Any("/questions/*path", contentHandler)
|
||||
|
||||
// data-ana 服务路由（学情诊断/错题本）
|
||||
dataAnaProxy, err := proxy.NewProxy(cfg.DataAnaServiceURL)
|
||||
if err != nil {
|
||||
log.Fatalf("failed to create data-ana proxy: %v", err)
|
||||
}
|
||||
dataAnaHandler := proxy.ProxyHandler(dataAnaProxy)
|
||||
api.Any("/analytics", dataAnaHandler)
|
||||
api.Any("/analytics/*path", dataAnaHandler)
|
||||
}
|
||||
|
||||
srv := &http.Server{
|
||||
|
||||
@@ -11,6 +11,7 @@ dependencies = [
|
||||
"pydantic-settings>=2.5.0",
|
||||
"opentelemetry-api>=1.27.0",
|
||||
"opentelemetry-sdk>=1.27.0",
|
||||
"opentelemetry-exporter-otlp>=1.27.0",
|
||||
"opentelemetry-instrumentation-fastapi>=0.48b0",
|
||||
"prometheus-client>=0.20.0",
|
||||
"structlog>=24.4.0",
|
||||
|
||||
@@ -1,27 +1,218 @@
|
||||
"""ClickHouse 客户端."""
|
||||
"""ClickHouse 客户端（支持降级模式）.
|
||||
|
||||
import clickhouse_connect
|
||||
当 settings.clickhouse_host 为空字符串时，get_client() 返回 None，
|
||||
查询方法在 client 为 None 或查询失败时返回 None（降级模式），
|
||||
保证服务在 ClickHouse 不可用时仍可启动并响应骨架数据。
|
||||
"""
|
||||
|
||||
from typing import Any
|
||||
|
||||
import structlog
|
||||
|
||||
from .config import settings
|
||||
|
||||
_client = None
|
||||
logger = structlog.get_logger(__name__)
|
||||
|
||||
_client: Any | None = None
|
||||
# 标记是否已尝试初始化（避免对失败连接反复重试）
|
||||
_client_initialized: bool = False
|
||||
|
||||
|
||||
def get_client():
|
||||
"""获取 ClickHouse 客户端."""
|
||||
global _client
|
||||
if _client is None:
|
||||
_client = clickhouse_connect.get_client(
|
||||
def get_client() -> Any | None:
|
||||
"""获取 ClickHouse 客户端.
|
||||
|
||||
- 当 clickhouse_host 为空：返回 None（降级模式）
|
||||
- 当已初始化但失败：返回 None
|
||||
- 当 clickhouse_connect 未安装：返回 None
|
||||
"""
|
||||
global _client, _client_initialized
|
||||
|
||||
if not settings.clickhouse_host:
|
||||
# 未配置 ClickHouse，降级模式
|
||||
return None
|
||||
|
||||
if _client_initialized:
|
||||
return _client
|
||||
|
||||
_client_initialized = True
|
||||
try:
|
||||
import clickhouse_connect
|
||||
|
||||
kwargs: dict[str, Any] = {
|
||||
"host": settings.clickhouse_host,
|
||||
"port": settings.clickhouse_port,
|
||||
"database": settings.clickhouse_database,
|
||||
}
|
||||
if settings.clickhouse_user:
|
||||
kwargs["username"] = settings.clickhouse_user
|
||||
if settings.clickhouse_password:
|
||||
kwargs["password"] = settings.clickhouse_password
|
||||
_client = clickhouse_connect.get_client(**kwargs)
|
||||
logger.info(
|
||||
"clickhouse_client_initialized",
|
||||
host=settings.clickhouse_host,
|
||||
port=settings.clickhouse_port,
|
||||
database=settings.clickhouse_database,
|
||||
)
|
||||
except Exception as exc: # noqa: BLE001
|
||||
# 任何初始化异常都进入降级模式，不抛出
|
||||
logger.warning("clickhouse_client_init_failed_degraded", error=str(exc))
|
||||
_client = None
|
||||
|
||||
return _client
|
||||
|
||||
|
||||
async def close_client() -> None:
|
||||
"""关闭客户端."""
|
||||
global _client
|
||||
if _client:
|
||||
_client.close()
|
||||
_client = None
|
||||
global _client, _client_initialized
|
||||
if _client is not None:
|
||||
try:
|
||||
_client.close()
|
||||
except Exception as exc: # noqa: BLE001
|
||||
logger.warning("clickhouse_client_close_failed", error=str(exc))
|
||||
finally:
|
||||
_client = None
|
||||
_client_initialized = False
|
||||
|
||||
|
||||
async def query_dashboard(student_id: str) -> dict | None:
|
||||
"""查询学生学情看板（宽表 student_dashboard_view）.
|
||||
|
||||
返回 None 表示降级模式（ClickHouse 不可用或查询失败）。
|
||||
"""
|
||||
client = get_client()
|
||||
if client is None:
|
||||
return None
|
||||
|
||||
try:
|
||||
rows = client.query(
|
||||
"SELECT student_id, class_id, exam_id, subject_id, score, "
|
||||
"rank_in_class, knowledge_point_id, mastery_level, error_count, "
|
||||
"last_updated "
|
||||
"FROM student_dashboard_view "
|
||||
"WHERE student_id = {sid:String} "
|
||||
"ORDER BY last_updated DESC "
|
||||
"LIMIT 50",
|
||||
parameters={"sid": student_id},
|
||||
).result_rows
|
||||
except Exception as exc: # noqa: BLE001
|
||||
logger.warning("query_dashboard_failed_degraded", error=str(exc), student_id=student_id)
|
||||
return None
|
||||
|
||||
columns = [
|
||||
"student_id",
|
||||
"class_id",
|
||||
"exam_id",
|
||||
"subject_id",
|
||||
"score",
|
||||
"rank_in_class",
|
||||
"knowledge_point_id",
|
||||
"mastery_level",
|
||||
"error_count",
|
||||
"last_updated",
|
||||
]
|
||||
records = [dict(zip(columns, row, strict=True)) for row in rows]
|
||||
return {
|
||||
"studentId": student_id,
|
||||
"records": records,
|
||||
"total": len(records),
|
||||
}
|
||||
|
||||
|
||||
async def query_class_performance(class_id: str) -> dict | None:
|
||||
"""查询班级成绩分析（聚合 student_dashboard_view）.
|
||||
|
||||
返回 None 表示降级模式。
|
||||
"""
|
||||
client = get_client()
|
||||
if client is None:
|
||||
return None
|
||||
|
||||
try:
|
||||
# 平均分、参考人数、及格率（>=60）
|
||||
agg_rows = client.query(
|
||||
"SELECT "
|
||||
" count() AS total_students, "
|
||||
" avg(score) AS average_score, "
|
||||
" countIf(score >= 60) / count() AS pass_rate "
|
||||
"FROM student_dashboard_view "
|
||||
"WHERE class_id = {cid:String}",
|
||||
parameters={"cid": class_id},
|
||||
).result_rows
|
||||
except Exception as exc: # noqa: BLE001
|
||||
logger.warning(
|
||||
"query_class_performance_failed_degraded",
|
||||
error=str(exc),
|
||||
class_id=class_id,
|
||||
)
|
||||
return None
|
||||
|
||||
if not agg_rows:
|
||||
return {
|
||||
"classId": class_id,
|
||||
"averageScore": 0.0,
|
||||
"passRate": 0.0,
|
||||
"totalStudents": 0,
|
||||
}
|
||||
|
||||
total_students, average_score, pass_rate = agg_rows[0]
|
||||
return {
|
||||
"classId": class_id,
|
||||
"averageScore": float(average_score) if average_score is not None else 0.0,
|
||||
"passRate": float(pass_rate) if pass_rate is not None else 0.0,
|
||||
"totalStudents": int(total_students) if total_students is not None else 0,
|
||||
}
|
||||
|
||||
|
||||
async def query_student_errors(student_id: str) -> list[dict] | None:
|
||||
"""查询学生错题本（表 student_errors）.
|
||||
|
||||
返回 None 表示降级模式；返回空列表表示无错题数据。
|
||||
"""
|
||||
client = get_client()
|
||||
if client is None:
|
||||
return None
|
||||
|
||||
try:
|
||||
rows = client.query(
|
||||
"SELECT student_id, question_id, knowledge_point_id, error_count, "
|
||||
"last_error_time, content "
|
||||
"FROM student_errors "
|
||||
"WHERE student_id = {sid:String} "
|
||||
"ORDER BY last_error_time DESC "
|
||||
"LIMIT 100",
|
||||
parameters={"sid": student_id},
|
||||
).result_rows
|
||||
except Exception as exc: # noqa: BLE001
|
||||
logger.warning(
|
||||
"query_student_errors_failed_degraded",
|
||||
error=str(exc),
|
||||
student_id=student_id,
|
||||
)
|
||||
return None
|
||||
|
||||
columns = [
|
||||
"student_id",
|
||||
"question_id",
|
||||
"knowledge_point_id",
|
||||
"error_count",
|
||||
"last_error_time",
|
||||
"content",
|
||||
]
|
||||
return [dict(zip(columns, row, strict=True)) for row in rows]
|
||||
|
||||
|
||||
async def ping() -> bool:
|
||||
"""ClickHouse 连通性检查（供 /readyz 使用）.
|
||||
|
||||
返回 True 表示可用；False 表示未配置或不可用。
|
||||
"""
|
||||
client = get_client()
|
||||
if client is None:
|
||||
return False
|
||||
try:
|
||||
client.query("SELECT 1")
|
||||
return True
|
||||
except Exception as exc: # noqa: BLE001
|
||||
logger.warning("clickhouse_ping_failed", error=str(exc))
|
||||
return False
|
||||
|
||||
@@ -1,16 +1,29 @@
|
||||
"""配置管理."""
|
||||
|
||||
from pydantic_settings import BaseSettings
|
||||
|
||||
|
||||
class Settings(BaseSettings):
|
||||
"""应用配置."""
|
||||
"""应用配置.
|
||||
|
||||
ClickHouse 连接参数为可选：当 clickhouse_host 为空字符串时，
|
||||
服务进入降级模式（查询方法返回 None / 空数据），保证服务可启动。
|
||||
"""
|
||||
|
||||
port: int = 3006
|
||||
clickhouse_host: str = "localhost"
|
||||
# ClickHouse 连接（可选：留空则降级模式）
|
||||
clickhouse_host: str = ""
|
||||
clickhouse_port: int = 8123
|
||||
clickhouse_database: str = "edu_analytics"
|
||||
clickhouse_user: str = ""
|
||||
clickhouse_password: str = ""
|
||||
# 可观测性
|
||||
otel_endpoint: str = "http://localhost:4318"
|
||||
log_level: str = "info"
|
||||
# 开发模式开关（"true"/"false"）
|
||||
dev_mode: str = "false"
|
||||
# Kafka brokers（CDC 消费预留，暂不实现）
|
||||
kafka_brokers: str = "localhost:9092"
|
||||
|
||||
model_config = {"env_file": ".env", "env_prefix": ""}
|
||||
|
||||
|
||||
@@ -1,6 +1,11 @@
|
||||
"""数据分析服务入口."""
|
||||
"""数据分析服务入口.
|
||||
|
||||
支持 ClickHouse 降级模式：当 CLICKHOUSE_HOST 未配置或不可达时，
|
||||
查询端点返回骨架数据，服务仍可启动与响应。
|
||||
"""
|
||||
|
||||
from contextlib import asynccontextmanager
|
||||
from datetime import UTC, datetime
|
||||
|
||||
import structlog
|
||||
from fastapi import FastAPI
|
||||
@@ -10,25 +15,90 @@ from opentelemetry.sdk.trace import TracerProvider
|
||||
from opentelemetry.sdk.trace.export import BatchSpanProcessor
|
||||
from prometheus_client import make_asgi_app
|
||||
|
||||
logger = structlog.get_logger()
|
||||
from .clickhouse_client import (
|
||||
close_client,
|
||||
query_class_performance,
|
||||
query_dashboard,
|
||||
query_student_errors,
|
||||
)
|
||||
from .clickhouse_client import ping as ch_ping
|
||||
from .config import settings
|
||||
|
||||
_logger: structlog.stdlib.BoundLogger | None = None
|
||||
tracer = trace.get_tracer(__name__)
|
||||
|
||||
# 日志级别映射
|
||||
_LOG_LEVELS: dict[str, int] = {
|
||||
"DEBUG": 10,
|
||||
"INFO": 20,
|
||||
"WARNING": 30,
|
||||
"ERROR": 40,
|
||||
"CRITICAL": 50,
|
||||
}
|
||||
|
||||
|
||||
def init_logger() -> structlog.stdlib.BoundLogger:
|
||||
"""初始化 structlog logger.
|
||||
|
||||
根据配置的 log_level 设置日志级别。
|
||||
"""
|
||||
global _logger
|
||||
level = _LOG_LEVELS.get(settings.log_level.upper(), 20)
|
||||
structlog.configure(
|
||||
wrapper_class=structlog.make_filtering_logger(level),
|
||||
processors=[
|
||||
structlog.contextvars.merge_contextvars,
|
||||
structlog.processors.add_log_level,
|
||||
structlog.processors.TimeStamper(fmt="iso"),
|
||||
structlog.dev.ConsoleRenderer(),
|
||||
],
|
||||
cache_logger_on_first_use=True,
|
||||
)
|
||||
_logger = structlog.get_logger(__name__)
|
||||
return _logger
|
||||
|
||||
|
||||
def get_logger() -> structlog.stdlib.BoundLogger:
|
||||
"""获取已初始化的 logger（未初始化时自动初始化）."""
|
||||
global _logger
|
||||
if _logger is None:
|
||||
return init_logger()
|
||||
return _logger
|
||||
|
||||
|
||||
def init_tracer() -> None:
|
||||
"""初始化 OpenTelemetry."""
|
||||
"""初始化 OpenTelemetry.
|
||||
|
||||
endpoint 从 settings.otel_endpoint 读取（不硬编码）。
|
||||
"""
|
||||
provider = TracerProvider()
|
||||
exporter = OTLPSpanExporter(endpoint="http://localhost:4318/v1/traces")
|
||||
endpoint = settings.otel_endpoint.rstrip("/")
|
||||
exporter = OTLPSpanExporter(endpoint=f"{endpoint}/v1/traces")
|
||||
provider.add_span_processor(BatchSpanProcessor(exporter))
|
||||
trace.set_tracer_provider(provider)
|
||||
|
||||
|
||||
@asynccontextmanager
|
||||
async def lifespan(app: FastAPI):
|
||||
"""应用生命周期."""
|
||||
"""应用生命周期.
|
||||
|
||||
1. 初始化 logger（structlog）
|
||||
2. 初始化 OTel tracer（endpoint 从 config 读）
|
||||
3. 触发 ClickHouse 客户端惰性初始化（不阻塞启动，失败进入降级模式）
|
||||
4. 关闭时释放 ClickHouse 客户端
|
||||
"""
|
||||
logger = init_logger()
|
||||
init_tracer()
|
||||
logger.info("data-ana service starting")
|
||||
logger.info(
|
||||
"data_ana_service_starting",
|
||||
port=settings.port,
|
||||
dev_mode=settings.dev_mode,
|
||||
clickhouse_configured=bool(settings.clickhouse_host),
|
||||
kafka_brokers=settings.kafka_brokers,
|
||||
)
|
||||
yield
|
||||
logger.info("data-ana service stopping")
|
||||
logger.info("data_ana_service_stopping")
|
||||
await close_client()
|
||||
|
||||
|
||||
app = FastAPI(
|
||||
@@ -42,36 +112,142 @@ app.mount("/metrics", make_asgi_app())
|
||||
|
||||
|
||||
@app.get("/healthz")
|
||||
async def healthz():
|
||||
"""健康检查."""
|
||||
async def healthz() -> dict:
|
||||
"""健康检查（liveness）.
|
||||
|
||||
只要进程存活即返回 ok，不依赖 ClickHouse。
|
||||
"""
|
||||
return {"status": "ok", "service": "data-ana"}
|
||||
|
||||
|
||||
@app.get("/analytics/class/{class_id}/performance")
|
||||
async def class_performance(class_id: str):
|
||||
"""班级成绩分析."""
|
||||
with tracer.start_as_current_span("class_performance"):
|
||||
# P4 骨架：从 ClickHouse 查询分析数据
|
||||
@app.get("/readyz")
|
||||
async def readyz() -> dict:
|
||||
"""就绪检查（readiness）.
|
||||
|
||||
ClickHouse 为可选依赖：
|
||||
- 已配置且可达：ready=true
|
||||
- 未配置：ready=true，degraded=true（降级模式仍可服务）
|
||||
- 已配置但不可达：ready=false
|
||||
"""
|
||||
if not settings.clickhouse_host:
|
||||
return {
|
||||
"success": True,
|
||||
"data": {
|
||||
"classId": class_id,
|
||||
"averageScore": 0,
|
||||
"passRate": 0,
|
||||
"message": "P4 skeleton - ClickHouse integration pending",
|
||||
},
|
||||
"status": "ok",
|
||||
"service": "data-ana",
|
||||
"ready": True,
|
||||
"degraded": True,
|
||||
"clickhouse": "not_configured",
|
||||
"timestamp": datetime.now(UTC).isoformat(),
|
||||
}
|
||||
|
||||
ch_ok = await ch_ping()
|
||||
return {
|
||||
"status": "ok" if ch_ok else "degraded",
|
||||
"service": "data-ana",
|
||||
"ready": ch_ok,
|
||||
"degraded": not ch_ok,
|
||||
"clickhouse": "ok" if ch_ok else "unreachable",
|
||||
"timestamp": datetime.now(UTC).isoformat(),
|
||||
}
|
||||
|
||||
|
||||
@app.get("/analytics/class/{class_id}/performance")
|
||||
async def class_performance(class_id: str) -> dict:
|
||||
"""班级成绩分析.
|
||||
|
||||
优先查 ClickHouse；降级时返回骨架数据。
|
||||
"""
|
||||
logger = get_logger()
|
||||
with tracer.start_as_current_span("class_performance") as span:
|
||||
span.set_attribute("class_id", class_id)
|
||||
result = await query_class_performance(class_id)
|
||||
if result is None:
|
||||
logger.info("class_performance_degraded", class_id=class_id)
|
||||
return {
|
||||
"success": True,
|
||||
"data": {
|
||||
"classId": class_id,
|
||||
"averageScore": 0,
|
||||
"passRate": 0,
|
||||
"totalStudents": 0,
|
||||
"message": "ClickHouse unavailable - skeleton data",
|
||||
"degraded": True,
|
||||
},
|
||||
}
|
||||
return {"success": True, "data": {**result, "degraded": False}}
|
||||
|
||||
|
||||
@app.get("/analytics/student/{student_id}/weakness")
|
||||
async def student_weakness(student_id: str):
|
||||
"""学生薄弱知识点分析."""
|
||||
with tracer.start_as_current_span("student_weakness"):
|
||||
async def student_weakness(student_id: str) -> dict:
|
||||
"""学生薄弱知识点分析.
|
||||
|
||||
优先查 ClickHouse；降级时返回骨架数据。
|
||||
"""
|
||||
logger = get_logger()
|
||||
with tracer.start_as_current_span("student_weakness") as span:
|
||||
span.set_attribute("student_id", student_id)
|
||||
result = await query_dashboard(student_id)
|
||||
if result is None:
|
||||
logger.info("student_weakness_degraded", student_id=student_id)
|
||||
return {
|
||||
"success": True,
|
||||
"data": {
|
||||
"studentId": student_id,
|
||||
"weakPoints": [],
|
||||
"message": "ClickHouse unavailable - skeleton data",
|
||||
"degraded": True,
|
||||
},
|
||||
}
|
||||
|
||||
# 从宽表提取薄弱知识点：mastery_level < 0.6 视为薄弱
|
||||
weak_points = [
|
||||
{
|
||||
"knowledgePointId": r["knowledge_point_id"],
|
||||
"masteryLevel": r["mastery_level"],
|
||||
"errorCount": r["error_count"],
|
||||
}
|
||||
for r in result["records"]
|
||||
if r.get("mastery_level") is not None and r["mastery_level"] < 0.6
|
||||
]
|
||||
return {
|
||||
"success": True,
|
||||
"data": {
|
||||
"studentId": student_id,
|
||||
"weakPoints": [],
|
||||
"message": "P4 skeleton - weakness analysis pending",
|
||||
"weakPoints": weak_points,
|
||||
"records": result["records"],
|
||||
"total": result["total"],
|
||||
"degraded": False,
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
@app.get("/analytics/student/{student_id}/errorbook")
|
||||
async def student_errorbook(student_id: str) -> dict:
|
||||
"""学生错题本.
|
||||
|
||||
优先查 ClickHouse；降级时返回空列表。
|
||||
"""
|
||||
logger = get_logger()
|
||||
with tracer.start_as_current_span("student_errorbook") as span:
|
||||
span.set_attribute("student_id", student_id)
|
||||
result = await query_student_errors(student_id)
|
||||
if result is None:
|
||||
logger.info("student_errorbook_degraded", student_id=student_id)
|
||||
return {
|
||||
"success": True,
|
||||
"data": {
|
||||
"studentId": student_id,
|
||||
"errors": [],
|
||||
"total": 0,
|
||||
"message": "ClickHouse unavailable - empty errorbook",
|
||||
"degraded": True,
|
||||
},
|
||||
}
|
||||
return {
|
||||
"success": True,
|
||||
"data": {
|
||||
"studentId": student_id,
|
||||
"errors": result,
|
||||
"total": len(result),
|
||||
"degraded": False,
|
||||
},
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user