我编写了一个解析器，它采用 JSON 配置并从中创建对象。我首先创建一个众所周知的对象，并尝试动态导入一个模块（可能来自用户），同时通过该creator模块的定义方法加载其类。
下面是一些测试代码：
import json
import imp
import os.path as path
from lib.config.members import Member
from lib.tasks.task import Task
class Parser(object):
def __init__(self):
self._loadedMods = {"tasks": {}}
def _load_module(self, clazz, modPart):
"""
imports and caches a module.
:param clazz: the filename of the module (i.e email, ping...)
:param modPart: the folder of the module. (i.e services, parsers...)
:return: the imported/cached module, or throws an error if it couldn't find it
"""
mods = self._loadedMods[modPart]
if clazz in mods:
return mods["class"]
else:
#mod = __import__(clazz)
p = path.join("lib", modPart, clazz + ".py")
mod = imp.load_source(clazz, p)
mods[clazz] = mod
return mod
def replace_with_import(self, objList, modPart, items_func, class_check):
"""
replaces configuration dicts with their objects by importing and creating it in the first step.
In the second step the original list of json config dicts gets replaced by the loaded objects
:param objList: the list of objects which is iterated on
:param modPart: the folder from the module (i.e tasks, parsers)
:param items_func: function to get a pointer on the list of json-config-objects to replace. Takes one argument and
should return a list of
:param class_check: currently unsupported
"""
for obj in objList:
repl = []
items = items_func(obj)
for clazzItem in items:
try:
clazz = clazzItem["class"]
mod = self._load_module(clazz, modPart)
item = mod.create(clazzItem)
if class_check(item):
repl.append(item)
else:
print " ignoring class " + clazzItem["class"] + "! It does not pass the class check!"
except ImportError, err:
print "could not import " + clazz + ": " + str(clazzItem) + "! reason:"
print str(err)
except KeyError, k:
print "Key " + str(k) + " not in classItem " + str(clazzItem)
except Exception, e:
print "Error while replacing class ( " + clazz + " :" + str(e) + ")"
del items[:]
items.extend(repl)
def _create_raw_Object(self, jsonDict, msgName, creator):
"""
creates an Main object from the configuration, but just parses raw data and hands it to the object
:param jsonDict: the configuration file part as dict
:param msgName: name of object for error message
:param creator: function pointer which is taking two arguments: identifier of the object and arguments.
:should return an object
:return: a list of objects returned by creator
"""
items = []
for key, val in jsonDict.items():
try:
item = creator(key, val)
items.append(item)
except Exception, e:
print "ignoring " + msgName + ": " + key + "! reason:"
print str(e)
return items
jsonFile = '''
{
"members":{
"homer":{
"name": "Homer Simpson",
"comment": "Security Inspector",
"tasks": [{"class":"email", "type": "donut", "args": {"rcpt": "homer_j_simpson@burnscorp.sp"}},
{"class":"email", "type": "do", "args": {"rcpt": "my_other_mail@burnscorp.sp"}}]
}
}
}
'''
jsonDict = json.loads(jsonFile)
parser = Parser()
creator = lambda name, values: Member(name, **values)
members = parser._create_raw_Object(jsonDict["members"], "Members", creator)
items_func = lambda member: member.get_tasks()
class_check = lambda task: isinstance(task, Task)
parser.replace_with_import(members, "tasks", items_func, class_check)
for d in members:
print d.__dict__
如您所见，成员可以有一个任意任务列表，它应该导入哪个任务在其class属性中定义，但只要其中两个具有相同的类值（不应该破坏 json 的方式我们定义它）我得到一个奇怪的KeyError：
Key 'class' not in classItem {u'args': {u'rcpt': u'my_other_mail@burnscorp.sp'}, u'type': u'do', u'class': u'email'}
为什么我会收到这个奇怪的错误？任何暗示我给我一个线索的提示都是非常受欢迎的，因为我感到绝望，调试了几个小时。
我认为 Member 和 Email/Task 类是不相关的，但为了完整起见，我会发布它们：
lib/config/members.py
class Member:
def __init__(self, id, name="", comment="", tasks=None):
self.id = id
self.name = name
self.tasks = []
self.add_task(tasks)
self.comment = comment
def get_id(self):
return self.id
def add_task(self, task):
if task is None:
return
if isinstance(task, list):
self.tasks.extend(task)
else:
self.tasks.append(task)
def get_tasks(self):
return self.tasks
lib/tasks/[任务|电子邮件].py
class Task:
"""
Base class for all built-in Tasks.
"""
def set_task_type(self, taskType):
"""
sets the type of this task.
Be aware! this method can only get called once!
:param taskType: the type of this task
"""
if hasattr(self, "_taskType"):
raise Exception("taskType is only allowed to set once!")
self.taskType = taskType
def get_task_type(self):
"""
:return: the type set by set_type_task
"""
return self._taskType
"""
The email task.
"""
from lib.tasks.task import Task
class EmailTask(Task):
def __init__(self, **kwargs):
self.set_task_type(kwargs["type"])
self.recipient = kwargs["args"]["rcpt"]
def execute_task(self, msg):
pass
def create(taskDict):
return EmailTask(**taskDict)