import json
class Phone(object):
 def __init__(self, name, price):
  self.name = name
  self.price = price

class Default(json.JSONEncoder):
 def default(self, o):
  print(o) # o: <__main__.Phone object at 0x10aa52c90>
  return [o.name, o.price]

def parse(obj):
 print(obj)
 return {"name": obj.name, "price": obj.price}

person_info_dict = {
 "name": "Amo",
 "age": 18,
 "is_boy": True,
 # "n": float("nan"), # float("nan"):NaN float("inf")=>Infinity float("-inf")=>-Infinity
 "phone": Phone("蘋果8plus", 6458),
 "hobby": ("sing", "dance"),
 "dog": {
  "name": "藏獒",
  "age": 5,
  "color": "棕色",
  "isVIP": True,
  "child": None
 },
}

"""
obj:需要序列化的對象 字典/列表 這里指的是person_info_dict
indent: 縮進 單位: 字符
sort_keys: 是否按key排序 默認是False不排序
cls: json.JSONEncoder子類 處理不能序列化的對象
ensure_ascii: 是否確保ascii編碼 默認是True確保 "蘋果8plus"==>"\u82f9\u679c8plus" 所以改為False
default: 對象不能被序列化時，調用對應的函數解析
"""

# 將結果返回給一個變量
result = json.dumps(person_info_dict,
     indent=2,
     sort_keys=True,
     ensure_ascii=False,
     # cls=Default,
     default=parse,
     # allow_nan=False 是否處理特殊常量值
     # 默認為True 但是JSON標準規范不支持NaN, Infinity和-Infinity
     )
print(result)
with open("dump.json", "w", encoding="utf8") as file:
 # json.dump是將序列化后的內容存儲到文件中 其他參數用法和dumps一致
 json.dump(person_info_dict, file, indent=4, ensure_ascii=False, default=parse)

import json
class Phone(object):
 def __init__(self, name, price):
  self.name = name
  self.price = price

def pi(num):
 return int(num) + 1

def oh(dic):
 if "price" in dic.keys():
  return Phone(dic["name"], dic["price"])
 return dic

def oph(*args, **kwargs):
 print(*args, **kwargs)

# 我自己本地有一個dump.json文件
with open("dump.json", "r", encoding="utf8") as file:
 # content = file.read()
 # parse_int/float: 整數/浮點數鉤子函數
 # object_hook: 對象解析鉤子函數 將字典轉為特定對象 傳遞給函數的是字典對象
 # object_pairs_hook: 轉化為特定對象 傳遞的是元組列表
 # parse_constant: 常量鉤子函數 NaN/Infinity/-Infinity
 # result = json.loads(content, object_hook=oh, parse_int=pi, object_pairs_hook=oph)
 result = json.load(file, parse_int=pi, object_hook=oh) # 直接將文件對象傳入
 print(type(result)) # <class 'dict'>
 print(result)

pip install --user -i http://pypi.douban.com/simple --trusted-host pypi.douban.com jsonpath

from jsonpath import jsonpath
dic = {....} # 要找數據的字典
jsonpath(dic, 表達式)

dic = {
 "person": {
  "name": "Amo",
  "age": 18,
  "dog": [{
   "name": "小花",
   "color": "red",
   "age": 6,
   "isVIP": True
  },
   {
    "name": "小黑",
    "color": "black",
    "age": 2
   }]
 }
}

from jsonpath import jsonpath

dic = {
 "person": {
  "name": "Amo",
  "age": 18,
  "dog": [{
   "name": "小花",
   "color": "red",
   "age": 6,
   "isVIP": True
  },
   {
    "name": "小黑",
    "color": "black",
    "age": 2
   }]
 }
}

# 1.獲取人的年齡
print(jsonpath(dic, "$.person.age")) # 獲取到數據返回一個列表 否則返回False
# 2.獲取第2個小狗的年齡
print(jsonpath(dic, "$..dog[1].age"))
# 3.獲取所有小狗的年齡
print(jsonpath(dic, "$..dog[0,1].age"))
print(jsonpath(dic, "$..dog[*].age"))
# 4.獲取是VIP的小狗
print(jsonpath(dic, "$..dog[?(@.isVIP)]"))
# 5.獲取年齡大于2的小狗
print(jsonpath(dic, "$..dog[?(@.age>2)]"))
# 6.獲取最后一個小狗
print(jsonpath(dic, "$..dog[-1:]"))
print(jsonpath(dic, "$..dog[(@.length-1)]"))

book_dict = {
 "store": {
  "book": [
   {"category": "reference",
    "author": "Nigel Rees",
    "title": "Sayings of the Century",
    "price": 8.95
    },
   {"category": "fiction",
    "author": "Evelyn Waugh",
    "title": "Sword of Honour",
    "price": 12.99
    },
   {"category": "fiction",
    "author": "Herman Melville",
    "title": "Moby Dick",
    "isbn": "0-553-21311-3",
    "price": 8.99
    },
   {"category": "fiction",
    "author": "J. R. R. Tolkien",
    "title": "The Lord of the Rings",
    "isbn": "0-395-19395-8",
    "price": 22.99
    }
  ],
  "bicycle": {
   "color": "red",
   "price": 19.95
  }
 }
}

from jsonpath import jsonpath

book_dict = {
 "store": {
  "book": [
   {"category": "reference",
    "author": "Nigel Rees",
    "title": "Sayings of the Century",
    "price": 8.95
    },
   {"category": "fiction",
    "author": "Evelyn Waugh",
    "title": "Sword of Honour",
    "price": 12.99
    },
   {"category": "fiction",
    "author": "Herman Melville",
    "title": "Moby Dick",
    "isbn": "0-553-21311-3",
    "price": 8.99
    },
   {"category": "fiction",
    "author": "J. R. R. Tolkien",
    "title": "The Lord of the Rings",
    "isbn": "0-395-19395-8",
    "price": 22.99
    }
  ],
  "bicycle": {
   "color": "red",
   "price": 19.95
  }
 }
}
# 1.store中的所有的book的作者
print(jsonpath(book_dict, "$.store.book[*].author"))
print(jsonpath(book_dict, "$..author"))
# 2.store下的所有的元素
print(jsonpath(book_dict, "$.store[*]"))
print(jsonpath(book_dict, "$.store.*"))
# 3.store中的所有的內容的價格
print(jsonpath(book_dict, "$..price"))
# 4.第三本書
print(jsonpath(book_dict, "$..book[2]"))
# 5.最后一本書
print(jsonpath(book_dict, "$..book[-1:]"))
print(jsonpath(book_dict, "$..book[(@.length-1)]"))
# 6.前兩本書
print(jsonpath(book_dict, "$..book[0:2]"))
# 7.獲取有isbn的所有書
print(jsonpath(book_dict, "$.store.book[?(@.isbn)]"))
# 8.獲取價格大于10的所有的書
print(jsonpath(book_dict, "$.store.book[?(@.price>10)]"))
# 9.獲取所有的數據
print(jsonpath(book_dict, "$..*"))

import pickle

def eat():
 print("Amo在努力地寫博客~")

person_info_dict = {
 "name": "Amo",
 "age": 18,
 "eat": eat
}

# print(pickle.dumps(person_info_dict))
with open("pickle_json", "wb") as file:
 pickle.dump(person_info_dict, file)

with open("pickle_json", "rb") as file:
 result = pickle.load(file)
 result["eat"]()