diff --git a/infra/docker/Dockerfile b/Dockerfile
similarity index 63%
rename from infra/docker/Dockerfile
rename to Dockerfile
index 51571e0..b2358ce 100644
--- a/infra/docker/Dockerfile
+++ b/Dockerfile
@@ -9,9 +9,14 @@ RUN conda install -y -c conda-forge python=3.12 pymetis && \
 COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
 
+# 将代码放入子目录 'app'，将数据放入子目录 'db_inp'
+# 这样临时文件默认会生成在 /app 下，而代码在 /app/app 下，实现了分离
 COPY app ./app
+COPY db_inp ./db_inp
+COPY temp ./temp
 COPY .env .
 
+# 设置 PYTHONPATH 以便 uvicorn 找到 app 模块
 ENV PYTHONPATH=/app
 
 EXPOSE 8000
diff --git a/app/algorithms/simulations.py b/app/algorithms/simulations.py
index 4eaa1cb..f7d86d9 100644
--- a/app/algorithms/simulations.py
+++ b/app/algorithms/simulations.py
@@ -509,7 +509,7 @@ def contaminant_simulation(
     # step 2. set pattern
     if source_pattern != None:
         pt = get_pattern(new_name, source_pattern)
-        if pt == None:
+        if len(pt) == 0:
             str_response = str("cant find source_pattern")
             return str_response
     else:
diff --git a/app/api/v1/endpoints/simulation.py b/app/api/v1/endpoints/simulation.py
index 82bf8b1..74168ff 100644
--- a/app/api/v1/endpoints/simulation.py
+++ b/app/api/v1/endpoints/simulation.py
@@ -115,7 +115,15 @@ class PressureSensorPlacement(BaseModel):
 def run_simulation_manually_by_date(
     network_name: str, base_date: datetime, start_time: str, duration: int
 ) -> None:
-    start_hour, start_minute, start_second = map(int, start_time.split(":"))
+    time_parts = list(map(int, start_time.split(":")))
+    if len(time_parts) == 2:
+        start_hour, start_minute = time_parts
+        start_second = 0
+    elif len(time_parts) == 3:
+        start_hour, start_minute, start_second = time_parts
+    else:
+        raise ValueError("Invalid start_time format. Use HH:MM or HH:MM:SS")
+
     start_datetime = base_date.replace(
         hour=start_hour, minute=start_minute, second=start_second
     )
@@ -654,13 +662,9 @@ async def fastapi_run_simulation_manually_by_date(
             globals.realtime_region_pipe_flow_and_demand_id,
         )
         base_date = datetime.strptime(item["simulation_date"], "%Y-%m-%d")
-        thread = threading.Thread(
-            target=lambda: run_simulation_manually_by_date(
-                item["name"], base_date, item["start_time"], item["duration"]
-            )
+        run_simulation_manually_by_date(
+            item["name"], base_date, item["start_time"], item["duration"]
         )
-        thread.start()
-        thread.join()
         return {"status": "success"}
     except Exception as exc:
         return {"status": "error", "message": str(exc)}