from abc import ABC
from datetime import datetime
from decimal import Decimal
import json 
import re
import sys, traceback
from typing import Dict, List, Set, Any, Union, Optional
import unittest
from uuid import uuid4, UUID

from pyson.Deserializer import Deserializer
from pyson.Serializer import Serializer
from pyson.JsonSerialize import JsonSerialize
from pyson.JsonDeserialize import JsonDeserialize
from pyson.JsonGetter import JsonGetter
from pyson.JsonSubTypes import JsonSubTypes
from pyson.JsonTypeInfo import Id, As
from pyson.JsonTypeInfo import JsonTypeInfo
from pyson.JsonValue import JsonValue
from pyson.ObjectMapper import ObjectMapper
from pickle import NONE
from test.MyDeserializer import ValueDeserializer2
from _collections_abc import Collection

# deserializer DROPS FIRST CHAR from string and assumes rest is an int.
# Then returns Simple(int)
class ValueDeserializer(Deserializer):
    def __hash__(self):
        return hash(self.geta())
    def deserialize(self, data:object, clas: object)-> object:
        if type(data)!=str:
            raise ValueError("Expected str starting with '$', got  "+str(data))
        return Simple(int(data[1:]))

# serializes Simple object, just prefixing its value (as string) with "$"    
class ValueSerializer(Serializer):
    def serialize(self, obj:object)-> object:
        if not isinstance(obj, Simple):
            raise ValueError("Expected Dimple object")
        return "$" + str(obj.geta())

class Basic:
    def __init__(self, v:float):
        self._v=v
    def __eq__(self, other):
        return isinstance(other, self.__class__) and \
            self._v==other._v
    def getV(self):
        return self._v
    def __repr__(self):
        return "Basic:"+str(self._v)
    def __hash__(self):
        return hash(self._v)

@JsonDeserialize(ValueDeserializer)
@JsonSerialize(ValueSerializer)
class Simple:
    def __init__(self, a:int):
        self._a=a 
    def geta(self)->int:
        return self._a
    def __eq__(self, other):
        return isinstance(other, self.__class__) and \
            self._a==other._a
    def __repr__(self):
        return "Simple:"+str(self._a)
    def __hash__(self):
        return hash(self._a)



@JsonDeserialize(ValueDeserializer2)
class Simple2:
    def __init__(self, a:int):
        self._a=a 
    def geta(self)->int:
        return self._a
    def __eq__(self, other):
        return isinstance(other, self.__class__) and \
            self._a==other._a
    def __repr__(self):
        return self._name+","+str(self._a)
    
#None cancels out the existing deserializer.
# parsing with str should now fail.
@JsonDeserialize(None)
class Simple3 (Simple):
    pass


class MyList:
    def __init__(self, data:  List[Simple] ):
        self.data=data
    def getData(self)->List[Simple]:
        return self.data
 
class BasicDict:
    def __init__(self, data:  Dict[Basic,Basic] ):
        self.data=data
    def getData(self)->Dict[Basic,Basic]:
        return self.data
    def __repr__(self):
        return "BasicDict:"+str(self.data)
    def __eq__(self, other):
        return isinstance(other, self.__class__) and \
            self.data==other.data

 
class SimpleDict:
    def __init__(self, data:  Dict[Simple,Simple] ):
        self.data=data
    def getData(self)->Dict[Simple,Simple]:
        return self.data
    def __eq__(self, other):
        return isinstance(other, self.__class__) and \
            self.data==other.data
    def __repr__(self):
        return "SimpleDict:"+str(self.data)


class DeserializerTest(unittest.TestCase):
    '''
    Test a lot of back-and-forth cases.
    FIXME Can we make this a parameterized test?
    '''
    pyson=ObjectMapper()

    def testDeserialize(self):
        objson= "$12"
        self.assertEqual(Simple(12), self.pyson.parse(objson, Simple))
        
    def testExternalDeserialize2(self):
        objson= "$13"
        self.assertEqual(13, self.pyson.parse(objson, Simple2))
        
        
    def testExternalDeserialize3(self):
        objson= "$13"
        self.assertRaises(ValueError, lambda:self.pyson.parse(objson, Simple3))
        
    def testDeserializeMyList(self):
        print(self.pyson.toJson(MyList([12,13])))
        
        # the json we provide is NOT the proper json but a STRING.
        # This triggers a fallback mechanism that tries to parse the string as json. 
        objson={"data": ["$12", "$13"]}
        res = self.pyson.parse(objson, MyList)
        print(res)
        self.assertEqual([Simple(12),Simple(13)], res.data)

    def testDeserializeCollection(self):
        objson=[1,2,3]
        # this checks that pyson can parse a list as Collection.
        # The result is a simple list like in java/jackson.
        res = self.pyson.parse(objson, Collection)
        print(res)
        self.assertEqual([1,2,3], res)


    def testSerializeBasicDict(self):
        '''
        Basic object keys. Special (de)serializer should kick in #190
        '''
        d= BasicDict( { Basic(1.):Basic(2.), Basic(3.): Basic(4.) } )
        objson={"data": {"{\"v\": 1.0}": {"v": 2.0}, "{\"v\": 3.0}": {"v": 4.0}}}
        dump=json.dumps(self.pyson.toJson(d));
        print(dump)
        # self.assertEqual(objson, dump);
        res=self.pyson.parse(objson, BasicDict)
        print("res="+str(res))
        self.assertEqual(d, res)


    def testSerializeSimpleDictCustomSerializer(self):
        d= SimpleDict( { Simple(1):Simple(2), Simple(3): Simple(4) } )
        
        # The keys need extra quotes, they are deserialied by 
        # our special deserializer that parses the string as json,
        # and json requires double quotes around its strings.
        objson = {"data": {'"$1"': "$2", '"$3"': "$4"}}

        obj=self.pyson.toJson(d)
        print(json.dumps(obj))
        self.assertEqual(objson, obj)
        
        res = self.pyson.parse(objson, SimpleDict)
        print("res="+str(res))
        self.assertEqual(d, res)