JSONavigator is a Python package designed to simplify working with nested JSON structures. It provides utilities for traversing, flattening, validating, formatting JSON paths and comparing JSONs. Streamline your JSON data processing tasks with ease and efficiency.
- Traverse Nested JSON: Recursively traverse dictionaries and lists to extract paths and values.
- Flatten JSON: Convert nested JSON into a single-level dictionary for easier access.
- Validate Paths: Ensure that JSON paths are properly formatted and valid.
- Format Paths: Improve readability of JSON paths by replacing separators with more user-friendly formats.
- Find Values: Search for specific keys in nested JSON and retrieve their associated values.
- Empty All Values: Replace all values in a nested JSON structure with empty strings.
- Compare JSON Files: Compare two JSON files and identify differences in their structures and values.
- Custom Exceptions: Handle errors gracefully with custom exception classes.
You can install JSONavigator
using pip
:
pip install JSONavigator
Alternatively, if you’re installing from source:
git clone https://github.com/Nikhil-Singh-2503/JSONavigator.git
cd JSONavigator
Create Virtual envirnoment:
python -m venv venv
source venv/bin/activate
Install the requirements:
pip install -r requirements.txt
Here’s how you can use the various features of JSONavigator:
1. Traverse Nested JSON
Use the traverse_json
function to recursively traverse a nested JSON structure and extract paths and values.
from jsoninja.core import traverse_json
data = {"a": {"b": [1, 2], "c": 3}}
for path, value in traverse_json(data):
print(f"Path: {path}, Value: {value}")
Output
Path: a.b[0], Value: 1
Path: a.b[1], Value: 2
Path: a.c, Value: 3
2. Get Value at a Specific Path
Use the get_value_at_path
function to retrieve the value at a specific path in the JSON structure.
from jsoninja.core import get_value_at_path
data = {"a": {"b": [1, 2], "c": 3}}
value = get_value_at_path(data, "a.b[1]")
print(value) # Output: 2
Output
2
3. Flatten JSON
Use the flatten_json
function to convert a nested JSON structure into a single-level dictionary.
from jsoninja.utils import flatten_json
data = {"a": {"b": [1, 2], "c": 3}}
flattened = flatten_json(data)
print(flattened)
Output
{
"a.b[0]": 1,
"a.b[1]": 2,
"a.c": 3
}
4. Validate JSON Paths
Use the validate_path
function to ensure that a JSON path is properly formatted.
from jsoninja.utils import validate_path
from jsoninja.exceptions import InvalidPathError
try:
validate_path("a.b[1]")
except InvalidPathError as e:
print(f"Invalid path: {e}")
Output
True
5. Format JSON Paths
Use the format_path
function to make JSON paths more readable.
from jsoninja.utils import format_path
formatted_path = format_path("a.b[1]")
print(formatted_path)
Output
a -> b[1]
6. Find Value of an Element
Use the find_value_of_element
function to search for a specific key in a nested JSON structure and retrieve its associated value. If the key is not found, the function returns an empty string ("").
from jsoninja.core import find_value_of_element
data = {"a": {"b": {"c": 42}}}
value = find_value_of_element("c", data)
print(value)
Output
42
7. Empty All Values in a JSON Structure
Use the empty_all_the_values
function to replace all values in a nested JSON structure with empty strings (""). For invalid inputs (e.g., integers or strings), the function returns None.
from jsoninja.core import empty_all_the_values
data = {
"a": 1,
"b": {"c": 42, "d": [1, 2, {"e": "hello"}]},
"f": [True, {"g": "world"}],
}
emptied_data = empty_all_the_values(data)
print(emptied_data)
Output
{
"a": "",
"b": {"c": "", "d": ["", "", {"e": ""}]},
"f": ["", {"g": ""}],
}
8. Compare Two JSON Files
Use the compare_files
function to compare two JSON files and identify differences in their structures and values. You can either pass loaded JSON objects or the paths to the JSON files. If you choose to pass file paths, set the isPath
parameter to True
.
When using file paths, ensure to use //
as the path separator, as /
is treated as an escape character. Alternatively, you can use a raw formatted string (e.g., r"path/to/file.json"
).
The function returns two values:
- The actual changes found between the two JSON structures.
- A summary of the changes.
Example with Loaded JSON Objects:
from jsoninja.compare import compare_files
json1 = {"a": {"b": 1, "c": 2}}
json2 = {"a": {"b": 1, "c": 3}}
changes, summary = compare_files(json1, json2)
print("Changes:", changes)
print("Summary:", summary)
Example with File Paths:
from jsoninja.compare import compare_files
# Use any one of the methods below for specifiying path
file1_path = "path//to//first.json" # Using // as the path separator
file2_path = r"path/to/second.json" # Using a raw formatted string
changes, summary = compare_files(file1_path, file2_path, isPath=True)
print("Changes:", changes)
print("Summary:", summary)
In this case, ensure that the isPath
parameter is set to True
to indicate that you are passing file paths instead of loaded JSON objects
You can customize the separator used in the functions by passing a value to the separator
parameter.
Example
Suppose you want to use *
as the separator with the traverse_json
function.
from jsoninja.core import traverse_json
data = {"a": {"b": [1, 2], "c": 3}}
for path, value in traverse_json(data, seperator=*):
print(f"Path: {path}, Value: {value}")
Output
Path: a*b[0], Value: 1
Path: a*b[1], Value: 2
Path: a*c, Value: 3
Contributions to JSONavigator are welcome! To contribute:
- Fork the repository on GitHub.
- Clone your fork locally:
git clone https://github.com/Nikhil-Singh-2503/JSONavigator.git
- Create a new branch for your feature or bugfix:
git checkout -b feature-name
-
Make your changes and write tests if applicable.
-
Run the tests to ensure everything works:
pytest
- Commit your changes and push them to your fork:
git commit -m "Add feature or fix"
git push origin feature-name
- Open a pull request on the main repository.
To run the test suite, use pytest
:
pytest
For coverage reports, install pytest-cov
and run:
pytest --cov=JSONavigator
This project is licensed under the MIT License.
If you have any questions or need support, feel free to reach out:
- Email: [email protected]
- Inspired by the need to simplify working with nested JSON structures.
- Built with ❤️ using Python.
- Ensure you have Python 3.8 or higher installed to use this package.
- For more examples and advanced usage, refer to the Github repository .