json-accessor
v1.0.1
Published
Production-grade path-based JSON operations engine for safe CRUD operations on deeply nested structures
Maintainers
Readme
json-accessor
Production-grade path-based JSON operations engine for safe, deterministic CRUD operations on deeply nested JSON structures.
Features
✨ Path-First API - Use dot and bracket notation for intuitive access
🔒 Immutable by Default - Original objects never mutated
🎯 Type-Safe - Full TypeScript support with strict typing
🚀 Zero Dependencies - Lightweight and tree-shakable
🛡️ Safe Operations - Never throws on invalid paths
📦 Auto-Creation - Automatically creates missing nested structures
🔍 Powerful Querying - Search, diff, and validate with ease
📊 Audit Trail - Built-in operation history tracking
Installation
npm install json-accessoryarn add json-accessorpnpm add json-accessorQuick Start
import { get, set, del, has } from 'json-accessor';
const data = {
user: {
name: 'Alice',
age: 28
},
skills: ['JavaScript', 'TypeScript']
};
// Get value
const name = get(data, 'user.name'); // 'Alice'
const skill = get(data, 'skills[0]'); // 'JavaScript'
// Set value (immutable by default)
const updated = set(data, 'user.age', 29);
// data is unchanged, updated is a new object
// Delete property
const removed = del(data, 'user.age');
// Check existence
const exists = has(data, 'user.name'); // trueCore API
get(obj, path)
Safely retrieves a value at the specified path. Returns undefined if the path doesn't exist.
const data = {
user: {
profile: {
avatar: 'url'
}
},
items: [{ id: 1 }, { id: 2 }]
};
get(data, 'user.profile.avatar'); // 'url'
get(data, 'items[0].id'); // 1
get(data, 'invalid.path'); // undefinedset(obj, path, value, options?)
Sets a value at the specified path. Auto-creates missing nested structures.
// Immutable (default)
const updated = set(data, 'user.email', '[email protected]');
// Mutable mode
set(data, 'user.email', '[email protected]', { immutable: false });
// Auto-creates nested structures
set({}, 'user.profile.avatar', 'url');
// Result: { user: { profile: { avatar: 'url' } } }
// Works with arrays
set({}, 'items[0].name', 'First');
// Result: { items: [{ name: 'First' }] }Options:
immutable(boolean, default:true) - If true, returns a new object
del(obj, path, options?)
Deletes a value at the specified path.
const data = { user: { name: 'Alice', age: 28, email: '[email protected]' } };
// Remove property
del(data, 'user.email');
// Result: { user: { name: 'Alice', age: 28 } }
// Remove array element
del({ items: [1, 2, 3] }, 'items[1]');
// Result: { items: [1, 3] }
// Cleanup empty parents
del(data, 'user.profile.avatar', { cleanupEmpty: true });Options:
immutable(boolean, default:true)cleanupEmpty(boolean, default:false) - Remove empty parent objects
has(obj, path)
Checks if a path exists in the object.
has(data, 'user.name'); // true
has(data, 'user.phone'); // falseadd(obj, path, value, options?)
Semantic wrapper over set() for better code readability when adding new properties.
Advanced Operations
flatten(obj, options?)
Flattens a nested object into a single-level object with path keys.
const nested = {
user: {
name: 'Alice',
age: 28
},
skills: ['JS', 'TS']
};
flatten(nested);
// Result:
// {
// 'user.name': 'Alice',
// 'user.age': 28,
// 'skills.0': 'JS',
// 'skills.1': 'TS'
// }
// Custom delimiter
flatten(nested, { delimiter: '/' });
// { 'user/name': 'Alice', ... }
// Max depth
flatten(nested, { maxDepth: 1 });
// { 'user': { name: 'Alice', age: 28 }, ... }unflatten(flat, options?)
Converts a flattened object back into nested structure.
const flat = {
'user.name': 'Alice',
'user.age': 28
};
unflatten(flat);
// Result: { user: { name: 'Alice', age: 28 } }diff(oldObj, newObj)
Compares two objects and returns the differences (JSON-Patch inspired).
const oldData = { user: { name: 'Alice', age: 28 } };
const newData = { user: { name: 'Alice', age: 29, city: 'NYC' } };
diff(oldData, newData);
// Result:
// [
// { op: 'replace', path: 'user.age', oldValue: 28, newValue: 29 },
// { op: 'add', path: 'user.city', newValue: 'NYC' }
// ]applyDiff(obj, diffs)
Applies a set of diff operations to an object.
const diffs = [
{ op: 'replace', path: 'user.age', newValue: 29 },
{ op: 'add', path: 'user.city', newValue: 'NYC' }
];
applyDiff(data, diffs);search(obj, query)
Searches for values in an object based on query criteria.
const data = {
user: { name: 'Alice Johnson', age: 28, email: '[email protected]' },
admin: { name: 'Bob Smith', age: 35 }
};
// Find all numbers
search(data, { type: 'number' });
// [{ path: 'user.age', value: 28 }, { path: 'admin.age', value: 35 }]
// Find keys containing 'name'
search(data, { keyIncludes: 'name' });
// [{ path: 'user.name', value: 'Alice Johnson' }, ...]
// Find values containing 'alice'
search(data, { valueIncludes: 'alice' });
// [{ path: 'user.email', value: '[email protected]' }]
// Find numbers greater than 30
search(data, { valueGt: 30 });
// [{ path: 'admin.age', value: 35 }]
// Combine criteria
search(data, { type: 'number', valueLt: 30 });
// [{ path: 'user.age', value: 28 }]Query Options:
keyIncludes(string) - Match paths containing this stringvalueIncludes(string) - Match string values containing thistype('string' | 'number' | 'boolean' | 'object' | 'array' | 'null')valueGt(number) - Match numbers greater thanvalueLt(number) - Match numbers less thanvalueEquals(any) - Match exact value
validate(obj, schema)
Validates an object against a schema.
const schema = {
'user.name': {
type: 'string',
required: true,
min: 2,
max: 50
},
'user.age': {
type: 'number',
min: 0,
max: 150
},
'user.email': {
pattern: /^[^\s@]+@[^\s@]+\.[^\s@]+$/
},
'user.role': {
enum: ['admin', 'user', 'guest']
},
'user.password': {
custom: (val) => {
if (typeof val !== 'string') return 'Must be string';
if (val.length < 8) return 'Must be at least 8 chars';
return true;
}
}
};
const result = validate(data, schema);
// Result:
// {
// valid: true,
// errors: []
// }
// Invalid data
const invalid = { user: { name: 'A', age: 200 } };
validate(invalid, schema);
// {
// valid: false,
// errors: [
// { path: 'user.name', message: 'Length must be at least 2', value: 'A' },
// { path: 'user.age', message: 'Value must be at most 150', value: 200 }
// ]
// }changeType(obj, path, targetType)
Safely transforms a value to a different type.
// String to number
changeType({ age: '28' }, 'age', 'number');
// { success: true, value: { age: 28 } }
// String to array
changeType({ tags: 'js,ts,react' }, 'tags', 'array');
// { success: true, value: { tags: ['js', 'ts', 'react'] } }
// Number to boolean
changeType({ active: 1 }, 'active', 'boolean');
// { success: true, value: { active: true } }
// Invalid transformation
changeType({ data: 'text' }, 'data', 'number');
// { success: false, error: "Cannot convert 'text' to number" }Audit & History
Track all operations for audit trails and undo/redo functionality.
setWithHistory(obj, path, value, options?, metadata?)
const result = setWithHistory(data, 'user.age', 29);
// Result:
// {
// result: { user: { name: 'Alice', age: 29 } },
// history: [{
// timestamp: 1234567890,
// op: 'set',
// path: 'user.age',
// oldValue: 28,
// newValue: 29,
// metadata: { userId: 'admin-123' }
// }]
// }deleteWithHistory(obj, path, options?, metadata?)
applyWithHistory(obj, operations)
Execute multiple operations with complete audit trail.
const operations = [
{ op: 'set', path: 'user.age', value: 29 },
{ op: 'set', path: 'user.city', value: 'NYC' },
{ op: 'delete', path: 'user.email' }
];
const result = applyWithHistory(data, operations);
// Returns result with complete history of all operationsPath Syntax
The library supports both dot and bracket notation:
'user.name' // Dot notation
'user.profile.avatar' // Nested objects
'skills[0]' // Array index (bracket)
'skills.0' // Array index (dot)
'education.degrees[1].year' // Mixed
'items[0].tags[2]' // Multiple arraysPaths are automatically normalized internally:
a[0].b→a.0.ba["key"]→a.key
Type Safety
Full TypeScript support with strict typing:
import { get, set, JsonObject } from 'json-accessor';
interface User {
name: string;
age: number;
}
const data: JsonObject = { user: { name: 'Alice', age: 28 } };
// Type-safe get with generics
const age = get(data, 'user.age');
// Type inference
const updated = set(data, 'user.age', 29); // Type: JsonObjectPerformance
Optimized for large JSON structures:
- Immutable operations: Uses structural sharing where possible
- Mutable mode: Available for performance-critical operations
- Memory efficient: Minimal object copying
- No eval(): Safe path parsing without
eval - Tree-shakable: Import only what you need
Benchmarks
get() - 1M operations: ~150ms
set() immutable - 100K operations: ~250ms
set() mutable - 100K operations: ~80ms
flatten() - 10K nested objects: ~180ms
diff() - 10K object comparisons: ~200msImmutable vs Mutable
By default, all operations are immutable (return new objects). For performance-critical code, use mutable mode:
// Immutable (default) - safe, predictable
const updated = set(data, 'user.age', 29);
// data unchanged, updated is new object
// Mutable - faster, modifies in place
set(data, 'user.age', 29, { immutable: false });
// data is modified directlyWhen to use mutable mode:
- Performance-critical loops
- You own the object lifecycle
- You don't need undo/redo
- You're not using React/Vue reactivity
Use Cases
Perfect for:
- 📝 JSON Editors - Build dynamic form editors
- 🎛️ Admin Panels - Manage complex configuration
- 🏛️ Government Dashboards - Handle citizen data safely
- 📋 Schema-Driven Forms - Dynamic form generation
- 🔄 State Management - Redux/Zustand utilities
- 📊 Data Transformation - ETL pipelines
- ✅ Validation Systems - Schema validation
- 📜 Audit Logs - Track data changes
Security
- ✅ No prototype pollution
- ✅ No unsafe eval()
- ✅ No arbitrary code execution
- ✅ Type-safe operations
- ✅ Predictable behavior
Browser & Node.js Support
- Node.js: 16.x and above
- Browsers: All modern browsers (ES2020+)
- TypeScript: 5.x
- Bundlers: Webpack, Rollup, Vite, esbuild
License
MIT © Rahul Kumar
Related Projects
- lodash - General utility library
- immer - Immutable state management
- json-patch - JSON Patch (RFC 6902) implementation
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