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# py-cjson | ||
Python 3 cJSON implementation | ||
py-cjson is a python3 json library, powered by algorithms from cJSON library, providing JSON relevant functionality. It is designed to offer a similar interface to those who are accustomed to the built-in Python json module, while providing an improved speed for JSON encoding and decoding. | ||
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# Installation | ||
1. clone repository; | ||
2. `python -m pip install .` | ||
## Installation | ||
To install py-cjson, follow these steps: | ||
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1. Clone the repository to your local machine. | ||
2. Navigate to the cloned repository. | ||
3. Run the command `python -m pip install .` to install the package. | ||
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## License | ||
MIT License | ||
The content of this repository is licensed under the terms of the MIT License. See the [LICENSE](LICENSE) file for more information. | ||
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## Usage | ||
Once py-cjson is installed, you can use it in your Python 3 projects. The interface and parameters provided by py-cjson are designed to closely resemble thouse of the JSON library. You can refer to the JSON documentation for more details on how to use the library. | ||
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Example usage: | ||
```python | ||
import cjson | ||
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# Decode a JSON string into a Python object with `loads` | ||
json_str = '{"name": "John", "age": 30, "city": "New York"}' | ||
python_obj = cjson.loads(json_str) | ||
print(python_obj) # Output: {'name': 'John', 'age': 30, 'city': 'New York'} | ||
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# Encode a Python object into a JSON string with `dumps` | ||
python_dict = {'name': 'Jane', 'age': 25, 'city': 'Los Angeles'} | ||
json_str = cjson.dumps(python_dict) | ||
print(json_str) # Output: '{"name": "Jane", "age": 25, "city": "Los Angeles"}' | ||
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# Read a JSON file and convert its contents to a Python object with `load` | ||
with open('data.json', 'r') as file: | ||
data = cjson.load(file) | ||
print(data) | ||
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# Write a Python object to a file as JSON with `dump` | ||
new_data = {'name': 'Doe', 'age': 22, 'city': 'Chicago'} | ||
with open('data.json', 'w') as file: | ||
cjson.dump(new_data, file) | ||
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# encode same as dumps | ||
json_str = cjson.encode(data) | ||
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# decode same as loads | ||
decoded_data = cjson.decode(json_str) | ||
``` | ||
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Please note that the above usage example is a simplified demonstration. Refer to the documentation for a complete understanding of the library's features(Ongoing). | ||
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## Available api and parameters | ||
### encode | ||
```python | ||
cjson.encode(obj, *, format=False, skipkeys=False, allow_nan=True, separators=(",",":"), default=None) #Converts arbitrary object recursively into JSON. | ||
cjson.dumps(obj, *, format=False, skipkeys=False, allow_nan=True, separators=(",",":"), default=None) #Converts arbitrary object recursively into JSON. | ||
cjson.dump(obj, fp, *, format=False, skipkeys=False, allow_nan=True, separators=(",",":"), default=None) #Converts arbitrary object recursively into JSON file. | ||
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# dump optional parameter: default, used to implement custom encoders | ||
def default(obj): | ||
if isinstance(obj, str): | ||
return {"key": obj} | ||
return obj | ||
cjson.dump(data, file, default=default) | ||
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# dump optional parameter: allow_nan | ||
data = {"key": float("nan")} | ||
json_str = cjson.encode(data, allow_nan=Fasle) # raises ValueError | ||
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# dump optional parameter: separators | ||
json_str = cjson.encode(data, separators=(",", ":")) | ||
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# dump optional parameter: skipkeys | ||
data = {"key": float("nan")} | ||
json_str = cjson.encode(data, skipkeys=True) # skips the key | ||
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``` | ||
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### decode | ||
```python | ||
cjson.decode(s, *, object_hook=None) #Converts JSON as string to dict object structure. | ||
cjson.loads(s, *, object_hook=None) #Converts JSON as string to dict object structure. | ||
cjson.load(fp, *, object_hook=None) #Converts JSON as file to dict object structure. | ||
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# optional parameter: object hook, used to implement custom decoders | ||
def object_hook(obj): | ||
if "key" in obj: | ||
return obj["key"] | ||
return obj | ||
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data = cjson.loads(json_str, object_hook=object_hook) | ||
``` | ||
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## See Also | ||
To understand more about the cJSON library and its usage, you can refer to the following resources: | ||
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[cJSON](https://github.com/DaveGamble/cJSON): Ultralightweight JSON parser in ANSI C. | ||
[json.org](https://www.json.org/): The official JSON website. | ||
[Python json](https://docs.python.org/3/library/json.html): The official Python json library documentation. |