jsonvv 0.2.0

JSON value validator

JSONvv

JSON value validator

Overview

This is a simple JSON schema validator library. It was created for Camoufox to validate passed user configurations. Because I found it useful for other projects, I decided to extract it into a separate library.

JSONvv's syntax parser is written in pure Python. It does not rely on any dependencies.

Example

Configuration

Validator

config = { "username": "johndoe", "email": "[e-mail]", "age": 30, "chat": "Hello world!", "preferences": { "notifications": True, "theme": "dark" }, "allowed_commands": [ "/help", "/time", "/weather" ], "location": [40.7128, -74.0060], "hobbies": [ { "name": "Traveling", "cities": ["Paris", "London"] }, { "name": "reading", "hours": { "Sunday": 2, "Monday": 3, } } ] }

validator = { "username": "str", # Basic username "email": "str[/\S+@\S+\.\S+/]", # Validate emails "age": "int[>=18]", # Age must be 18 or older "chat": "str | nil", # Optional chat message "preferences": { "notifications": "bool", "theme": "str[light, dark] | nil", # Optional theme }, # Commands must start with "/", but not contain "sudo" "allowed_commands": "array[str[/^//] - str[/sudo/]]", # Validate coordinate ranges "location": "tuple[double[-90 - 90], double[-180 - 180]]", # Handle an array of hobby types "hobbies": "array[@traveling | @other, >=1]", "@traveling": { # Require 1 or more cities/countries iff name is "Traveling" "*name,type": "str[Traveling]", "*cities,countries": "array[str[A-Za-z*], >=1]", }, "@other": { "name,type": "str - str[Traveling]", # Non-traveling types # If hour(s) is specified, require days have >0 hours "/hours?/": { "*/day$/": "int[>0]" } } }

---

Then, validate the configuration like this:

from jsonvv import JsonValidator, JvvRuntimeException

val = JsonValidator(validator)
try:
   val.validate(config)
except JvvRuntimeException as exc:
   print("Failed:", exc)
else:
   print('Config is valid!')

---

Table of Contents

• Key Syntax
  • Regex patterns
  • Lists of possible values
  • Required fields (*)
  • Grouping keys ($)
• Supported Types
  • String (str)
  • Integer (int)
  • Double (double)
  • Boolean (bool)
  • Array (array)
  • Tuple (tuple)
  • Nested Dictionaries
  • Nil (nil)
  • Any (any)
  • Required fields (*)
  • Type References (@)
• Advanced Features
  • Subtracting Domains (-)
  • Union Types (|)
  • Conditional Ranges and Values
• Error Handling

---

Keys Syntax

Dictionary keys can be specified in several possible ways:

• "key": "type"
• "key1,key2,key3": "type"
• "/key\d+/": "type"
• "*required_key": "type"

Regex patterns

To use regex in a key, wrap it in / ... /.

Syntax:

"/key\d+/": "type"

Lists of possible values

To specify a list of keys, use a comma-separated string.

Syntax:

"key1,key2,key3": "type"
"/k[ey]{2}1/,key2": "type"

To escape a comma, use !.

Required fields (*)

Fields marked with * are required. The validation will fail without them.

Syntax:

"*key1": "type"
"*/key\d+/": "type"

Grouping keys ($)

Fields that end with $group_name are grouped together. If one of the keys is set, all of the keys in the group must also be set as well.

Syntax:

"isEnabled$group1": "bool"
"value$group1": "int[>0]"

This will require both value is set if and only if isEnabled is set.

---

Supported Types

String (str)

Represents a string value. Optionally, you can specify a regex pattern that the string must match.

Syntax:

• Basic string: "str"
• With regex pattern: "str[regex_pattern]"
• The escape character for regex is \, and for commas is _.

Arguments:

• regex_pattern: A regular expression that the string must match. If not specified, any string is accepted.

Examples:

1. Basic string:

   "username": "str"
   

   Accepts any string value for the key username.

2. String with regex pattern:

   "fullname": "str[/[A-Z][a-z]+ [A-Z][a-z]+/]"
   

   Accepts a string that matches the pattern of a first and last name starting with uppercase letters.

Integer (int)

Represents an integer value. You can specify conditions like exact values, ranges, and inequalities.

Syntax:

• Basic integer: "int"
• With conditions: "int[conditions]"

Arguments:

• conditions: A comma-separated list of conditions.

Condition Operators:

• ==: Equal to a specific value.
• >=: Greater than or equal to a value.
• <=: Less than or equal to a value.
• >: Greater than a value.
• <: Less than a value.
• range: A range between two values (inclusive).

Examples:

1. Basic integer:

   "age": "int"
   

   Accepts any integer value for the key age.

2. Integer with conditions:

   "userage": "int[>=0, <=120]"
   

   Accepts integer values between 0 and 120 inclusive.

3. Specific values and ranges

   "rating": "int[1-5]"
   "rating": "int[1,2,3,4-5]"
   

   Accepts integer values 1, 2, 3, 4, or 5.

4. Ranges with negative numbers:

   "rating": "int[-100 - -90]"
   

   Accepts integer values from -100 to -90.

Double (double)

Represents a floating-point number. Supports the same conditions as integers.

Syntax:

• Basic double: "double"
• With conditions: "double[conditions]"

Arguments:

• conditions: A comma-separated list of conditions.

Examples:

1. Basic double:

   "price": "double"
   

   Accepts any floating-point number for the key price.

2. Double with conditions:

   "percentage": "double[>=0.0,<=100.0]"
   

   Accepts double values between 0.0 and 100.0 inclusive.

Boolean (bool)

Represents a boolean value (True or False).

Syntax:

"isActive": "bool"

Accepts a boolean value for the key isActive.

Array (array)

Represents a list of elements of a specified type. You can specify conditions on the length of the array.

Syntax:

• Basic array: "array[element_type]"
• With length conditions: "array[element_type,length_conditions]"

Arguments:

• element_type: The type of the elements in the array.
• length_conditions: Conditions on the array length (same as integer conditions).

Examples:

1. Basic array:

   "tags": "array[str]"
   

   Accepts a list of strings for the key tags.

2. Array with length conditions:

   "scores": "array[int[>=0,<=100],>=1,<=5]"
   

   Accepts a list of 1 to 5 integers between 0 and 100 inclusive.

3. Fixed-length array:

   "coordinates": "array[double, 2]"
   

   Accepts a list of exactly 2 double values.

4. More complex restraints:

   "coordinates": "array[array[int[>0]] - tuple[1, 1]], 2]"
   

Tuple (tuple)

Represents a fixed-size sequence of elements of specified types.

Syntax:

"tuple[element_type1, element_type2]"

Arguments:

• element_typeN: The type of the Nth element in the tuple.

Examples:

1. Basic tuple:

   "point": "tuple[int, int]"
   

   Accepts a tuple or list of two integers.

2. Tuple with mixed types:

   "userInfo": "tuple[str, int, bool]"
   

   Accepts a tuple of a string, an integer, and a boolean.

Nested Dictionaries

Represents a nested dictionary structure. Dictionaries are defined using Python's dictionary syntax {} in the type definitions.

Syntax:

"settings": {
    "volume": "int[>=0,<=100]",
    "brightness": "int[>=0,<=100]",
    "mode": "str"
}

Usage:

• Define the expected keys and their types within the dictionary.
• You can use all the supported types for the values.

Examples:

1. Nested dictionary:

   "user": {
       "name": "str",
       "age": "int[>=0]",
       "preferences": {
           "theme": "str",
           "notifications": "bool"
       }
   }
   

   Defines a nested dictionary structure for the key user.

Nil (nil)

Represents a None value.

Syntax:

"optionalValue": "int | nil"

Usage:

• Use nil to allow a value to be None.
• Often used with union types to specify optional values.

Any (any)

Represents any value.

Syntax:

"metadata": "any"

Usage:

• Use any when any value is acceptable.
• Useful for keys where the value is not constrained.

Type References (@)

Allows you to define reusable types and reference them.

Syntax:

• Define a named type:

  "@typeName": "type_definition"
  

• Reference a named type:

  "key": "@typeName"
  

Examples:

1. Defining and using a named type:

   "@positiveInt": "int[>0]"
   "userId": "@positiveInt"
   

   Defines a reusable type @positiveInt and uses it for the key userId.

---

Advanced Features

Subtracting Domains (-)

Allows you to specify that a value should not match a certain type or condition.

Syntax:

"typeA - typeB"

Usage:

• The value must match typeA but not typeB.

Examples:

1. Excluding certain strings:

   "message": "str - str[.*error.*]"
   

   Accepts any string that does not match the regex pattern .*error.*.

2. Excluding a range of numbers:

   "score": "int[0-100] - int[>=90]"
   

   Accepts integers between 0 and 100, excluding values greater than or equal to 90.

3. Excluding multiple types:

   "score": "int[>0,<100] - int[>90] - int[<10]"
   # Union, then subtraction:
   "score": "int[>0,<100] - int[>90] | int[<10]"
   "score": "int[>0,<100] - (int[>90] | int[<10])"  # same thing
   # Use parenthesis to run subtraction first
   "score": "int[>0,<50] | (int[<100] - int[<10])"
   "score": "(int[<100] - int[<10]) | int[>0,<50]"
   

   Note: Union is handled before subtraction.

4. Allowing all but a specific value:

   "specialNumber": "any - int[0]"
   

Union Types (|)

Allows you to specify that a value can be one of multiple types.

Syntax:

"typeA | typeB | typeC"

Usage:

• The value must match at least one of the specified types.

Examples:

1. Multiple possible types:

   "data": "int | str | bool"
   

   Accepts an integer, string, or boolean value for the key data.

2. Combining with arrays:

   "mixedList": "array[int | str]"
   

   Accepts a list of integers or strings.

Conditional Ranges and Values

Specifies conditions that values must satisfy, including ranges and specific values.

Syntax:

• Greater than: ">value"
• Less than: "<value"
• Greater than or equal to: ">=value"
• Less than or equal to: "<="value"
• Range: "start-end"
• Specific values: "value1,value2,value3"

Examples:

1. Integer conditions:

   "level": "int[>=1,<=10]"
   

   Accepts integers from 1 to 10 inclusive.

2. Double with range:

   "latitude": "double[-90.0 - 90.0]"
   

   Accepts doubles between -90.0 and 90.0 inclusive.

3. Specific values:

   "status": "int[1,2,3]"
   

   Accepts integers that are either 1, 2, or 3.

---

Error Handling

graph TD
    Exception --> JvvException
    JvvException --> JvvRuntimeException
    JvvException --> JvvSyntaxError

    JvvRuntimeException --> UnknownProperty["UnknownProperty<br/><small>Raised when a key in config<br/>isn't defined in property types</small>"]
    JvvRuntimeException --> InvalidPropertyType["InvalidPropertyType<br/><small>Raised when a value doesn't<br/>match its type definition</small>"]
    InvalidPropertyType --> MissingRequiredKey["MissingRequiredKey<br/><small>Raised when a required key<br/>is missing from config</small>"]
    MissingRequiredKey --> MissingGroupKey["MissingGroupKey<br/><small>Raised when some keys in a<br/>property group are missing</small>"]

    JvvSyntaxError --> PropertySyntaxError["PropertySyntaxError<br/><small>Raised when property type<br/>definitions have syntax errors</small>"]

    classDef base fill:#eee,stroke:#333,stroke-width:2px;
    classDef jvv fill:#d4e6f1,stroke:#2874a6,stroke-width:2px;
    classDef runtime fill:#d5f5e3,stroke:#196f3d,stroke-width:2px;
    classDef syntax fill:#fdebd0,stroke:#b9770e,stroke-width:2px;
    classDef error fill:#fadbd8,stroke:#943126,stroke-width:2px;

    class Exception base;
    class JvvException jvv;
    class JvvRuntimeException,JvvSyntaxError runtime;
    class PropertySyntaxError syntax;
    class UnknownProperty,InvalidPropertyType,MissingRequiredKey,MissingGroupKey error;

---

Types

• str: Basic string type.

  • Arguments:
    • regex_pattern (optional): A regex pattern the string must match.
  • Example: "str[^[A-Za-z]+$]"

• int: Integer type with conditions.

  • Arguments:
    • conditions: Inequalities (>=, <=, >, <), specific values (value1,value2), ranges (start-end).
  • Example: "int[>=0,<=100]"

• double: Double (floating-point) type with conditions.

  • Arguments:
    • Same as int.
  • Example: "double[>0.0]"

• bool: Boolean type.

  • Arguments: None.
  • Example: "bool"

• array: Array (list) of elements of a specified type.

  • Arguments:
    • element_type: Type of elements in the array.
    • length_conditions (optional): Conditions on the array length.
  • Example: "array[int[>=0],>=1,<=10]"

• tuple: Fixed-size sequence of elements of specified types.

  • Arguments:
    • List of element types.
  • Example: "tuple[str, int, bool]"

• nil: Represents a None value.

  • Arguments: None.
  • Example: "nil"

• any: Accepts any value.

  • Arguments: None.
  • Example: "any"

• Type References: Reusable type definitions.

  • Arguments:
    • @typeName: Reference to a named type.
  • Example:
    • Define: "@positiveInt": "int[>0]"
    • Use: "userId": "@positiveInt"

Type Combinations

• Union Types (|): Value must match one of multiple types.

  • Syntax: "typeA | typeB"
  • Example: "str | int"

• Subtracting Domains (-): Value must match typeA but not typeB.

  • Syntax: "typeA - typeB"
  • Example: "int - int[13]" (any integer except 13)

Escaping Characters

• !: Escapes commas, slashes, and other jsonvv characters within strings.
• \: Escapes within a regex pattern.