real-json 1.0.5

Wrapper class so that you can access `dict` and `list` as easily as in Javascript

python_js_json

Wrapper class so that you can access dict and list as easily as in Javascript

Installation

python3 -m pip install real_json

usage

```python
import real_json
import json

data = {
    "a": 1,
    "b": 2,
    "c": {
        "d": 3,
        "e": 4,
    },
    "f": [5, 6, 7],
}
wrapped = real_json.ify(data)

# Test attribute access
assert wrapped.a == 1
assert wrapped.b == 2
assert wrapped.c.d == 3
assert wrapped.c.e == 4
assert wrapped.f[0] == 5
assert wrapped.f[1] == 6
assert wrapped.f[2] == 7
assert wrapped.f[3] == None
assert wrapped.g == None
assert wrapped.c.f == None

# Test item access
assert wrapped["a"] == 1
assert wrapped["b"] == 2
assert wrapped["c"]["d"] == 3
assert wrapped["c"]["e"] == 4
assert wrapped["f"][0] == 5
assert wrapped["f"][1] == 6
assert wrapped["f"][2] == 7
assert wrapped["g"] == None
assert wrapped["c"]["f"] == None

# Test set attribute
wrapped.a = 10
assert wrapped.a == 10
wrapped.g = 20
assert wrapped.g == 20

# Test set item
wrapped["b"] = 20
assert wrapped["b"] == 20
wrapped["h"] = 30
assert wrapped["h"] == 30

# Test str and repr
assert str(wrapped) == str(data)
assert repr(wrapped) == repr(data)

# Test len
print("wrapped:", wrapped)
assert len(wrapped) == 6
assert len(wrapped.c) == 2
assert len(wrapped.f) == 3

# Test bool
assert bool(wrapped) == True
assert bool(wrapped.g) == True
assert bool(wrapped.c) == True
assert bool(wrapped.f)

json.dump(wrapped.__dict__["_data"], "wrapped.json")

data = {
    "name": "John",
    "age": 30,
    "cars": [
        {"model": "Ford", "year": 2020},
        {"model": "BMW", "year": 2019}
    ]
}

wrapped_data = real_json.ify(data)

# Accessing values using dot notation
print(wrapped_data.name)  # Output: "John"
print(wrapped_data.age)  # Output: 30
# Output: [{"model": "Ford", "year": 2020}, {"model": "BMW", "year": 2019}]
print(wrapped_data.cars)

# Accessing values using square brackets notation
print(wrapped_data['name'])  # Output: "John"
print(wrapped_data['age'])  # Output: 30
# Output: [{"model": "Ford", "year": 2020}, {"model": "BMW", "year": 2019}]
print(wrapped_data['cars'])

# Accessing values that are not present in the data
print(wrapped_data.address)  # Output: None
print(wrapped_data['address'])  # Output: None

# Accessing elements of the list using index notation
print(wrapped_data.cars[0])  # Output: {"model": "Ford", "year": 2020}
print(wrapped_data['cars'][0])  # Output: {"model": "Ford", "year": 2020}

# Accessing elements of the list using index notation
print(wrapped_data.cars[0].model)  # Output: "Ford"
print(wrapped_data['cars'][0]['model'])  # Output: "Ford"

# Accessing elements of the list using index notation
print(wrapped_data.cars[2])  # Output: None
print(wrapped_data['cars'][2])  # Output: None

# Accessing elements of the list using index notation
print(wrapped_data.cars[0].color)  # Output: None
print(wrapped_data['cars'][0]['color'])  # Output: None

json.dump(wrapped_data.__dict__["_data"], "data.json")
```