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jsonpath-python1.0.6

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A more powerful JSONPath implementation in modern python

pip install jsonpath-python

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Requires Python

>=3.6

Dependencies

    jsonpath-python

    A more powerful JSONPath implementation in modern python.

    Features

    • Light. (No need to install third-party dependencies.)
    • Support filter operator, including multi-selection, inverse-selection filtering.
    • Support sorter operator, including sorting by multiple fields, ascending and descending order.
    • Support basic semantics of JSONPath.
    • Support output modes: VALUE, PATH.
    • Support embedded syntax.
    • Support user-defined function.
    • Support parent operator.

    Installation

    pip install jsonpath-python

# import
>>> from jsonpath import JSONPath

    JSONPath Syntax

    The JSONPath syntax in this project borrows from JSONPath - XPath for JSON and is modified and extended on it.

    Operators

    OperatorDescription
    $the root object/element
    @the current object/element
    . or []child operator
    ..recursive descent
    *wildcard
    ''(Experimental) wrap field with special character: dots(.) and space ( ).
    start:end:steparray slice operator (It's same as the slice in python)
    ?()applies a filter expression
    /()applies a sorter expression
    ()applies a field-extractor expression

    Examples

    Before running the following example, please import this module and the example data:

    >>> from jsonpath import JSONPath

# For the data used in the following example, please refer to the Appendix part.

    Select Fields

    Select a field:

    >>> JSONPath("$.book").parse(data)
[[{'category': 'reference', 'author': 'Nigel Rees', 'title': 'Sayings of the Century', 'price': 8.95, 'brand': {'version': 'v1.0.0'}}, {'category': 'fiction', 'author': 'Evelyn Waugh', 'title': 'Sword of Honour', 'price': 12.99, 'brand': {'version': 'v0.0.1'}}, {'category': 'fiction', 'author': 'Herman Melville', 'title': 'Moby Dick', 'isbn': '0-553-21311-3', 'price': 8.99, 'brand': {'version': 'v1.0.2'}}, {'category': 'fiction', 'author': 'J. R. R. Tolkien', 'title': 'The Lord of the Rings', 'isbn': '0-395-19395-8', 'price': 22.99, 'brand': {'version': 'v1.0.3'}}]]
>>> JSONPath("$[book]").parse(data)
[[{'category': 'reference', 'author': 'Nigel Rees', 'title': 'Sayings of the Century', 'price': 8.95, 'brand': {'version': 'v1.0.0'}}, {'category': 'fiction', 'author': 'Evelyn Waugh', 'title': 'Sword of Honour', 'price': 12.99, 'brand': {'version': 'v0.0.1'}}, {'category': 'fiction', 'author': 'Herman Melville', 'title': 'Moby Dick', 'isbn': '0-553-21311-3', 'price': 8.99, 'brand': {'version': 'v1.0.2'}}, {'category': 'fiction', 'author': 'J. R. R. Tolkien', 'title': 'The Lord of the Rings', 'isbn': '0-395-19395-8', 'price': 22.99, 'brand': {'version': 'v1.0.3'}}]]

    (Experimental) Select a field with special character: dots(.) and space ( ).

    >>> JSONPath("$.'a.b c'").parse(data)
['a.b c']
>>> JSONPath("$['a.b c']").parse(data)
['a.b c']

    Select multiple fields:

    >>> JSONPath("$[bicycle,scores]").parse(data)
[{'color': 'red', 'price': 19.95}, {'math': {'score': 100, 'avg': 60}, 'english': {'score': 95, 'avg': 80}, 'physic': {'score': 90, 'avg': 70}, 'chemistry': {'score': 85, 'avg': 80}, 'chinese': {'score': 60, 'avg': 75}}]

    Select all fields using wildcard *:

    >>> JSONPath("$.*").parse(data)
['a.b c', [{'category': 'reference', 'author': 'Nigel Rees', 'title': 'Sayings of the Century', 'price': 8.95, 'brand': {'version': 'v1.0.0'}}, {'category': 'fiction', 'author': 'Evelyn Waugh', 'title': 'Sword of Honour', 'price': 12.99, 'brand': {'version': 'v0.0.1'}}, {'category': 'fiction', 'author': 'Herman Melville', 'title': 'Moby Dick', 'isbn': '0-553-21311-3', 'price': 8.99, 'brand': {'version': 'v1.0.2'}}, {'category': 'fiction', 'author': 'J. R. R. Tolkien', 'title': 'The Lord of the Rings', 'isbn': '0-395-19395-8', 'price': 22.99, 'brand': {'version': 'v1.0.3'}}], {'color': 'red', 'price': 19.95}, {'math': {'score': 100, 'avg': 60}, 'english': {'score': 95, 'avg': 80}, 'physic': {'score': 90, 'avg': 70}, 'chemistry': {'score': 85, 'avg': 80}, 'chinese': {'score': 60, 'avg': 75}}]

    Recursive Descent

    >>> JSONPath("$..price").parse(data)
[8.95, 12.99, 8.99, 22.99, 19.95]

    Slice

    Support python-like slice.

    >>> JSONPath("$.book[1:3]").parse(data)
[{'category': 'fiction', 'author': 'Evelyn Waugh', 'title': 'Sword of Honour', 'price': 12.99, 'brand': {'version': 'v0.0.1'}}, {'category': 'fiction', 'author': 'Herman Melville', 'title': 'Moby Dick', 'isbn': '0-553-21311-3', 'price': 8.99, 'brand': {'version': 'v1.0.2'}}]
>>> JSONPath("$.book[1:-1]").parse(data)
[{'category': 'fiction', 'author': 'Evelyn Waugh', 'title': 'Sword of Honour', 'price': 12.99, 'brand': {'version': 'v0.0.1'}}, {'category': 'fiction', 'author': 'Herman Melville', 'title': 'Moby Dick', 'isbn': '0-553-21311-3', 'price': 8.99, 'brand': {'version': 'v1.0.2'}}]
>>> JSONPath("$.book[0:-1:2]").parse(data)
[{'category': 'reference', 'author': 'Nigel Rees', 'title': 'Sayings of the Century', 'price': 8.95, 'brand': {'version': 'v1.0.0'}}, {'category': 'fiction', 'author': 'Herman Melville', 'title': 'Moby Dick', 'isbn': '0-553-21311-3', 'price': 8.99, 'brand': {'version': 'v1.0.2'}}]
>>> JSONPath("$.book[-1:1]").parse(data)
[]
>>> JSONPath("$.book[-1:-11:3]").parse(data)
[]
>>> JSONPath("$.book[:]").parse(data)
[{'category': 'reference', 'author': 'Nigel Rees', 'title': 'Sayings of the Century', 'price': 8.95, 'brand': {'version': 'v1.0.0'}}, {'category': 'fiction', 'author': 'Evelyn Waugh', 'title': 'Sword of Honour', 'price': 12.99, 'brand': {'version': 'v0.0.1'}}, {'category': 'fiction', 'author': 'Herman Melville', 'title': 'Moby Dick', 'isbn': '0-553-21311-3', 'price': 8.99, 'brand': {'version': 'v1.0.2'}}, {'category': 'fiction', 'author': 'J. R. R. Tolkien', 'title': 'The Lord of the Rings', 'isbn': '0-395-19395-8', 'price': 22.99, 'brand': {'version': 'v1.0.3'}}]
>>> JSONPath("$.book[::-1]").parse(data)
[{'category': 'fiction', 'author': 'J. R. R. Tolkien', 'title': 'The Lord of the Rings', 'isbn': '0-395-19395-8', 'price': 22.99, 'brand': {'version': 'v1.0.3'}}, {'category': 'fiction', 'author': 'Herman Melville', 'title': 'Moby Dick', 'isbn': '0-553-21311-3', 'price': 8.99, 'brand': {'version': 'v1.0.2'}}, {'category': 'fiction', 'author': 'Evelyn Waugh', 'title': 'Sword of Honour', 'price': 12.99, 'brand': {'version': 'v0.0.1'}}, {'category': 'reference', 'author': 'Nigel Rees', 'title': 'Sayings of the Century', 'price': 8.95, 'brand': {'version': 'v1.0.0'}}]

    Filter Expression

    Support all python comparison operators (==, !=, <, >, >=, <=), python membership operators (in, not in), python logical operators (and, or, not).

    >>> JSONPath("$.book[?(@.price>8 and @.price<9)].price").parse(data)
[8.95, 8.99]
>>> JSONPath('$.book[?(@.category=="reference")].category').parse(data)
['reference']
>>> JSONPath('$.book[?(@.category!="reference" and @.price<9)].title').parse(data)
['Moby Dick']
>>> JSONPath('$.book[?(@.author=="Herman Melville" or @.author=="Evelyn Waugh")].author').parse(data)
['Evelyn Waugh', 'Herman Melville']

    Note: You must use double quote("") instead of single quote('') to wrap the compared string, because single quote('') has another usage in this JSONPath syntax .

    Sorter Expression

    Support sorting by multiple fields (using operator ,) and reverse sort (using operator ~).

    >>> JSONPath("$.book[/(price)].price").parse(data)
[8.95, 8.99, 12.99, 22.99]
>>> JSONPath("$.book[/(~price)].price").parse(data)
[22.99, 12.99, 8.99, 8.95]
>>> JSONPath("$.book[/(category,price)].price").parse(data)
[8.99, 12.99, 22.99, 8.95]
>>> JSONPath("$.book[/(brand.version)].brand.version").parse(data)
['v0.0.1', 'v1.0.0', 'v1.0.2', 'v1.0.3']
>>> JSONPath("$.scores[/(score)].score").parse(data)
[60, 85, 90, 95, 100]

    Field-Extractor Expression

    Using (field1,field2,…,filedn) after a dict object to extract its fields.

    >>> JSONPath("$.scores[/(score)].(score)").parse(data)
[{'score': 60}, {'score': 85}, {'score': 90}, {'score': 95}, {'score': 100}]
>>> JSONPath("$.book[/(category,price)].(title,price)").parse(data)
[{'title': 'Moby Dick', 'price': 8.99}, {'title': 'Sword of Honour', 'price': 12.99}, {'title': 'The Lord of the Rings', 'price': 22.99}, {'title': 'Sayings of the Century', 'price': 8.95}]

    Appendix: Example JSON data:

    data = {
    "a.b c": "a.b c",
    "book": [
        {
            "category": "reference",
            "author": "Nigel Rees",
            "title": "Sayings of the Century",
            "price": 8.95,
            "brand": {
                "version": "v1.0.0"
            }
        },
        {
            "category": "fiction",
            "author": "Evelyn Waugh",
            "title": "Sword of Honour",
            "price": 12.99,
            "brand": {
                "version": "v0.0.1"
            }
        },
        {
            "category": "fiction",
            "author": "Herman Melville",
            "title": "Moby Dick",
            "isbn": "0-553-21311-3",
            "price": 8.99,
            "brand": {
                "version": "v1.0.2"
            }
        },
        {
            "category": "fiction",
            "author": "J. R. R. Tolkien",
            "title": "The Lord of the Rings",
            "isbn": "0-395-19395-8",
            "price": 22.99,
            "brand": {
                "version": "v1.0.3"
            }
        }
    ],
    "bicycle": {
        "color": "red",
        "price": 19.95
    },
    "scores": {
        "math": {
            "score": 100,
            "avg": 60
        },
        "english": {
            "score": 95,
            "avg": 80
        },
        "physic": {
            "score": 90,
            "avg": 70
        },
        "chemistry": {
            "score": 85,
            "avg": 80
        },
        "chinese": {
            "score": 60,
            "avg": 75
        }
    }
}

    Todo List

    • Syntax and character set (refer to k8s)

    The name segment is required and must be 63 characters or less, beginning and ending with an alphanumeric character ([a-z0-9A-Z]) with dashes (-), underscores (_), dots (.), and alphanumerics between.