A custom wrapper object around dict that allows attribute-style access to dictionary items and support for nested JSON data.
Project description
objdict-bf
objdict-bf
is a Python module that provides a wrapper class for conveniently manipulating dictionaries or dict-based JSON nested structures using attribute-like syntax. It is intended mostly to ease manipulation of JSON data, web requests responses, configuration files, dynamic prototyping...
Features
- Attribute-style access to dictionary items (e.g.,
obj.key
instead ofobj['key']
). - Synchronization with the original dictionary if passed at instantiation.
- Utility methods for recursive conversion of nested structures to and from
objdict
anddict
. - JSON serialization and deserialization methods for both strings and files with optional jsonpickle support.
- optional object-like behavior, by auto-passing the instance as 'self' to callable attributes.
Installation
pip install objdict-bf
Usage
Here's an example of how to use the objdict
wrapper:
from objdict_bf import objdict
# Create an objdict with some initial data
data = objdict(
name='John',
age=30,
location='New York'
)
#Or synchronize with an existing dict
d={'name': 'John', 'age': 30, 'location': 'New York'}
data = objdict(d)
# Access data using attribute-style access
print(data.name) # Output: John
print(data.age) # Output: 30
# Modify data
data.age = 31
#Changes are reflected on the original dict
print(d['age']) #Ouput: 31
#Support for nested structures involving lists
d={
'profile':{
'name':'John',
'hobbies':[
{'type':'sport','title':'tennis'},
{'type':'music','title':'guitar playing'}
]
}
}
data = objdict(d)
print(data.profile.hobbies[1].title) #Output: guitar playing
#Conversion of dict items to their objdict version is automatic.
#The objdict being essentially a wrapper interface on the initial dict,
#this conversion is reflected in the initial dict content as well
print(isinstance(data.profile.hobbies[1],objdict)) #Output: True
print(isinstance(d['profile']['hobbies'][1],objdict)) #Output: True
#to_dict returns the underlying dict, converting recursively all objdicts found in the nested structure back to dicts
print(d is data.to_dict()) #Ouptut: True
print(isinstance(d['profile']['hobbies'][1], dict) #Output: True
# Serialize to JSON string
json_string = data.dumps()
#dump to a JSON file
data.dump("my_json_file.json")
#or
data.dump("my_json_file.json",use_jsonpickle=True)
#make some more changes
data.email="dummy.email@gmail.com
#the reference to the file and jsonpickle usage preference from the last dump is kept in the objdict instance so you don't have to pass them again
data.dump()
# Deserialize from JSON string (creates a new instance)
data = objdict.loads(json_string)
#or
data = objdict.loads(json_string,use_jsonpickle=True)
# Deserialize from a JSON file (new instance keeping reference to the json file)
data = objdict.load("my_json_file.json")
#or
data = objdict.load("my_json_file.json",use_jsonpickle=True)
#update data
data.email="dummy.email@gmail.com"
data.user="dummy_username"
#dump changes to 'my_json_file.json'
data.dump()
#Using it as a pseudo-object with context aware methods thanks to the _auto_self parameter which automatically passes the objdict instance as 'self' to callable attributes having 'self' in their signature
obj=objdict(_auto_self=True)
obj.a=2
#create a function with 'self' as first parameter (any other name won't receive the instance)
def add_to_a(self,b):
self.a+=b
#attach the function as attribute
obj.add_to_a=add_to_a
obj.add_to_a(3)
print(obj.a) #output 5
License
This project is licensed under the MIT License - see the LICENSE file for details.
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