Skip to main content

A simple, efficient, and feature-rich Python library for working with JSON files.

Project description

NanoJson Library by Mohammed Ghanam

PyPI - Version
Python
License
Status

NanoJson is a simple, efficient, and feature-rich Python library for working with JSON files.
It provides methods for reading, writing, updating, and manipulating JSON data.
Whether you're working with simple JSON files or deeply nested structures, NanoJson makes it easy to work with your data.


🚀 Installation

You can install NanoJson from PyPi using pip:

pip install NanoJson==1.1

📖 Usage

Importing the Library

To use NanoJson, simply import it like this:

import NanoJson

Creating a NanoJson Object

To work with a JSON file, create an instance of NanoJson by providing the file path and optional indentation level:

json_handler = NanoJson('data.json', indent=4)

Methods

➡️ Read JSON Data

You can read the data from the JSON file either as a dictionary or in a pretty-printed format:

data = json_handler.read_json()  # Returns the data as a dictionary
pretty_data = json_handler.read_json(pretty=True)  # Pretty-printed JSON string

➡️ Write JSON Data

To write data to the JSON file:

json_handler.write_json({"name": "John", "age": 30})

➡️ Update JSON Data

You can update an existing key or add a new key to the JSON file:

json_handler.update_json("city", "New York")

➡️ Delete a Key

To delete a key from the JSON file:

json_handler.delete_key("age")

➡️ Search for a Key

Search for a key and get its value:

value = json_handler.search_key("name")

➡️ Deep Search for Nested Keys

Perform a deep search for a key even if it's nested inside other objects or lists:

value = json_handler.deep_search("address.street")

➡️ Append to a List

You can append an element to an existing list inside the JSON file:

json_handler.append_to_list("hobbies", "reading")

➡️ Remove from a List

To remove an element from a list:

json_handler.remove_from_list("hobbies", "reading")

➡️ Merge JSON Data

Merge new data into the existing JSON file:

json_handler.merge_json({"country": "USA", "state": "California"})

➡️ Clear JSON Data

To clear all data in the JSON file:

json_handler.clear_json()

➡️ Backup and Restore

You can back up your JSON file and restore it from a backup:

json_handler.backup_json("backup.json")
json_handler.restore_backup("backup.json")

💡 Example

Here’s a complete example of how to use NanoJson:

import NanoJson

# Initialize NanoJson
json_handler = NanoJson('data.json')

# Write data
json_handler.write_json({'name': 'John', 'age': 25})

# Update data
json_handler.update_json('city', 'New York')

# Search for a value
print(json_handler.search_key('name'))

# Append to a list
json_handler.append_to_list('hobbies', 'reading')

# Remove from a list
json_handler.remove_from_list('hobbies', 'reading')

# Deep search
print(json_handler.deep_search('city'))

# Merge new data
json_handler.merge_json({'country': 'USA'})

# Rename a key
json_handler.rename_key('city', 'location')

# Backup and restore
json_handler.backup_json('backup.json')
json_handler.restore_backup('backup.json')

# Get file size
print(json_handler.get_size())

🌟 Features

✅ Read, write, and update JSON files easily.
✅ Deep search for nested keys.
✅ Append and remove elements from lists inside JSON.
✅ Backup and restore your JSON data.
✅ Efficient error handling with descriptive error messages.
✅ Supports nested structures and complex data types.
✅ Works with pretty-printed JSON strings.
✅ File size information and other utility functions.
✅ Backup and restore capabilities.


🛡️ Error Handling

In case of errors, NanoJson will return detailed error messages including the type of error and the line number where it occurred.
This helps developers easily identify and resolve issues in their code.

For example, if a file is not found:

data = json_handler.read_json()
if isinstance(data, str) and "Error" in data:
    print(f"Error: {data}")

📄 License

This project is licensed under the MIT License. See the LICENSE file for more details.


💬 Support

If you encounter any issues or have questions, feel free to open an issue on the repository or contact the author.

Author: Mohamed Ahmed Ghanam


NanoJson – A simple and powerful JSON handler for Python.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nanojson-1.2.tar.gz (5.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

nanojson-1.2-py3-none-any.whl (5.1 kB view details)

Uploaded Python 3

File details

Details for the file nanojson-1.2.tar.gz.

File metadata

  • Download URL: nanojson-1.2.tar.gz
  • Upload date:
  • Size: 5.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for nanojson-1.2.tar.gz
Algorithm Hash digest
SHA256 275a8d75c0098983f6e6a6d438b74a7739f09b8ccccfd103b5e512de88dd5255
MD5 baa1077c55f9634159b9fc2232144508
BLAKE2b-256 bbe6e574f503b329756f10d7c000e5f240dcbf15faf384880dee8e32aefeb393

See more details on using hashes here.

File details

Details for the file nanojson-1.2-py3-none-any.whl.

File metadata

  • Download URL: nanojson-1.2-py3-none-any.whl
  • Upload date:
  • Size: 5.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for nanojson-1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 9b27357a608591c939b12cd2e9a3c772d9c0b95a2c58f25ff30923ebe3b1477d
MD5 33101f119123f6d917ab9a1b6ee11ffc
BLAKE2b-256 4cd09fb4f3ed60b01582d1845a538b194d50252f22f57be19f6991e951481e21

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page