判题暂时可以跑起来了，真要被自己蠢哭了

judger_controller/celery.py

@@ -1,5 +1,10 @@
 # coding=utf-8
 from __future__ import absolute_import
 from celery import Celery
+from .settings import redis_config
 
-app = Celery("judge", broker="redis://localhost:6379/0", include=["judger_controller.tasks"])
+app = Celery("judge", broker="redis://" +
+                             redis_config["host"] + ":" +
+                             str(redis_config["port"]) +
+                             "/" + str(redis_config["db"]),
+             include=["judger_controller.tasks"])

judger_controller/settings.py

@@ -0,0 +1,6 @@
+# coding=utf-8
+redis_config = {
+    "host": "127.0.0.1",
+    "port": 6379,
+    "db": 0
+}

judger_controller/tasks.py

@@ -8,13 +8,13 @@ import subprocess32 as subprocess
 def judge(solution_id, time_limit, memory_limit, test_case_id):
     try:
         subprocess.call("docker run -t -i --privileged --rm=true "
-                        "-v /var/test_case/:/var/judger/test_case/ "
+                        "-v /Users/virusdefender/Desktop/test_case/:/var/judger/test_case/ "
                         "-v /Users/virusdefender/Desktop/:/var/judger/code/ "
-                        "-p 27017:27017 "
                         "judger "
                         "python judger/run.py "
                         "--solution_id %s --time_limit %s --memory_limit %s --test_case_id %s" %
                         (solution_id, str(time_limit), str(memory_limit), test_case_id),
-                        timeout=(time_limit / 100) * 20, shell=True)
+                        # 如果设置的最长运行时间小于1000毫秒，那么/1000就是0，处理一下这个情况，设置为两秒
+                        timeout=(time_limit / 1000 * 3) or 2, shell=True)
     except subprocess.TimeoutExpired:
         print "docker timeout"