json permutation library
Project description
J-Perm
A composable JSON transformation DSL with a powerful, extensible architecture.
J-Perm lets you describe data transformations as executable specifications — a list of steps that can be applied to input documents. It supports
JSON Pointer addressing, template interpolation with ${...} syntax, special constructs ($ref, $eval, $and, $or, $not), and a rich set of built-in operations.
Quick Example
from j_perm import build_default_engine
engine = build_default_engine()
# Source data
source = {
"users": [
{"name": "Alice", "age": "17"},
{"name": "Bob", "age": "22"}
]
}
# Transformation spec (using shorthands)
spec = {
"op": "foreach",
"in": "/users",
"do": {
"/adults[]": {
"$eval": [
{"/name": "/item/name", "/age": "${int:/item/age}"},
{"op": "if", "path": "/age", "cond": "${?dest.age >= `18`}", "else": {"~delete": "/age"}}
]
}
}
}
result = engine.apply(spec, source=source, dest={})
# → {"adults": [{"name": "Bob", "age": 22}]}
Installation
pip install j-perm
(or copy the package into your project)
Architecture Overview
J-Perm is built on a pipeline architecture with two main levels:
┌─────────────────────────────────────────────────────────┐
│ spec (user input) │
│ │ │
│ ▼ │
│ ┌──────────────────────────────────────────────────┐ │
│ │ STAGES (batch preprocessing, priority order) │ │
│ │ • ShorthandExpansion → expand ~delete, etc │ │
│ │ • YourCustomStage │ │
│ └──────────────────────────────────────────────────┘ │
│ │ │
│ ▼ │
│ List[step] │
│ │ │
│ ▼ for each step: │
│ ┌──────────────────────────────────────────────────┐ │
│ │ MIDDLEWARES (per-step, priority order) │ │
│ │ • Validation, logging, etc. │ │
│ └──────────────────────────────────────────────────┘ │
│ │ │
│ ▼ │
│ ┌──────────────────────────────────────────────────┐ │
│ │ REGISTRY (hierarchical dispatch tree) │ │
│ │ • SetHandler, CopyHandler, ForeachHandler, ... │ │
│ └──────────────────────────────────────────────────┘ │
│ │ │
│ │ handlers call ctx.engine.process_value(...) │
│ └─────────────────────────────────────┐ │
│ ▼ │
│ ┌──────────────────────────────────────────────────┐ │
│ │ VALUE PIPELINE (stabilization loop) │ │
│ │ • SpecialResolveHandler ($ref, $eval) │ │
│ │ • TemplSubstHandler (${...}) │ │
│ │ • RecursiveDescentHandler (containers) │ │
│ │ • IdentityHandler (scalars) │ │
│ └──────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────┘
Core Components
| Component | Purpose |
|---|---|
| Engine | Orchestrates pipelines, manages context, runs stabilization loop |
| Pipeline | Runs stages → middlewares → registry dispatch for each step |
| StageRegistry | Tree of batch preprocessors (run-all, priority order) |
| ActionTypeRegistry | Tree of action handlers (first-match or run-all) |
| ValueResolver | Abstraction for addressing (JSON Pointer implementation) |
Core API
Building an Engine
from j_perm import build_default_engine
# Default engine with all built-ins
engine = build_default_engine()
# Custom specials (None = use defaults: $ref, $eval, $and, $or, $not)
engine = build_default_engine(
specials={"$ref": my_ref_handler, "$custom": my_handler},
casters={"int": lambda x: int(x), "json": lambda x: json.loads(x)},
jmes_options=jmespath.Options(custom_functions=CustomFunctions())
)
Applying Transformations
result = engine.apply(
spec, # DSL script (dict or list)
source=source, # Source context (for pointers, templates)
dest=dest, # Initial destination (default: {})
)
Returns: Deep copy of the final dest after all transformations.
Features
1. JSON Pointer Addressing
J-Perm uses RFC 6901 JSON Pointer with extensions:
from j_perm import PointerResolver
resolver = PointerResolver()
# Basic pointers
resolver.get("/users/0/name", data) # → "Alice"
# Root references (work on scalars too!)
resolver.get(".", 42) # → 42
resolver.get("/", "text") # → "text"
# Parent navigation
resolver.get("/a/b/../c", data) # → data["a"]["c"]
# List slices
resolver.get("/items[1:3]", data) # → [item1, item2]
# Append notation
resolver.set("/items/-", data, "new") # Append to list
Key feature: Unlike standard JSON Pointer, PointerResolver works on any type (scalars, lists, dicts) for root references.
Data Source Prefixes
J-Perm supports prefixes to specify which context to read from:
| Prefix | Source | Description |
|---|---|---|
/path |
source | Default - read from source context |
@:/path |
dest | Read from destination being built |
_:/path |
metadata | Read from execution metadata |
Example: Accessing destination in templates
# Build incrementally, referencing previous values
spec = [
{"/name": "Alice"},
{"/greeting": "Hello, ${@:/name}!"} # Reference dest value
]
result = engine.apply(spec, source={}, dest={})
# → {"name": "Alice", "greeting": "Hello, Alice!"}
Example: Comparing source vs dest
spec = [
{"/dest_value": "from_dest"},
{"/comparison": "Source: ${/source_value}, Dest: ${@:/dest_value}"}
]
result = engine.apply(
spec,
source={"source_value": "from_source"},
dest={}
)
# → {"dest_value": "from_dest", "comparison": "Source: from_source, Dest: from_dest"}
Example: Using in conditionals
# Check destination state in conditions
spec = [
{"/status": "ready"},
{
"op": "if",
"path": "@:/status",
"equals": "ready",
"then": [{"/message": "System is ready"}]
}
]
2. Template Interpolation (${...})
Templates are resolved by TemplSubstHandler in the value pipeline.
JSON Pointer lookup
"${/user/name}" # → Resolve pointer from source
Type casters (built-in)
"${int:/age}" # → int(value)
"${float:/price}"
"${bool:/flag}" # → bool(int(value)) if int/str, else bool(value)
"${str:/id}"
JMESPath queries
"${?source.items[?price > `10`].name}" # → Query source with JMESPath
"${?dest.total}" # → Query destination
"${?add(dest.x, source.y)}" # → Mix source and dest
Built-in JMESPath functions: add(a, b), subtract(a, b)
Data structure: JMESPath expressions use explicit namespaces:
source.*– access source documentdest.*– access destination document
Nested templates
"${${/path_to_field}}" # → Resolve inner template first
Escaping
$${ → ${ (literal)
$$ → $ (literal)
3. Special Constructs
Special values are resolved by SpecialResolveHandler.
$ref — Reference resolution
{
"$ref": "/path/to/value",
"$default": "fallback"
}
- Resolves pointer from source context
- Returns deep copy (no aliasing)
- Supports
$defaultfallback
$eval — Nested evaluation
{
"$eval": [
{
"op": "set",
"path": "/x",
"value": 1
}
],
"$select": "/x"
}
- Executes nested DSL with
dest={} - Optionally selects sub-path from result
$and — Logical AND with short-circuit
{
"$and": [
[{"op": "assert", "path": "/x", "return": true}],
[{"op": "copy", "from": "/y", "path": "/"}]
]
}
- Executes actions in order with empty
destfor each - Returns last result if all are truthy
- Short-circuits and returns first falsy result
$or — Logical OR with short-circuit
{
"$or": [
[{"op": "assert", "path": "/x", "return": true}],
[{"op": "copy", "from": "/y", "path": "/"}]
]
}
- Executes actions in order with empty
destfor each - Returns first truthy result
- Returns last result if all are falsy
$not — Logical negation
{
"$not": [{"op": "assert", "path": "/missing", "return": true}]
}
- Executes action with empty
dest - Returns logical negation of the result
4. Functions and Error Handling
J-Perm supports defining reusable functions and controlled error handling.
$def — Define a function
{
"$def": "myFunction",
"params": ["arg1", "arg2"],
"body": [
{"/result": "${arg1}"},
{"/total": "${int:${arg2}}"}
],
"return": "/total",
"on_failure": [
{"/error": "Function failed"}
]
}
params— list of parameter names (optional, default: [])body— actions to execute when function is calledreturn— path in local context to return (optional, default: entire dest)on_failure— error handler actions (optional)
Special variable _: Inside function body, the original source is accessible via /_/path:
{
"$def": "getFromSource",
"body": [{"/value": {"$ref": "/_/data"}}]
}
When called, functions can access:
- Parameters via
/${param_name} - Original source via
/_/path(source from engine.apply) - Current dest via
@:/path
Example:
spec = [
{
"$def": "combineData",
"params": ["userInput"],
"body": [
{"/input": "${userInput}"},
{"/global": {"$ref": "/_/config"}}, # From original source
{"/result": "Input: ${@:/input}, Config: ${@:/global/setting}"}
],
"return": "/result"
},
{"/output": {"$func": "combineData", "args": ["test"]}}
]
result = engine.apply(
spec,
source={"config": {"setting": "production"}},
dest={}
)
# → {"output": "Input: test, Config: production"}
$func — Call a function
{
"$func": "myFunction",
"args": [10, 20]
}
args— list of arguments to pass (optional, default: [])
Functions are stored in the execution context metadata and can be called multiple times within the same transformation.
$raise — Raise an error
{
"$raise": "Invalid data: ${/error_details}"
}
Raises a JPermError with the specified message. The error can be:
- Caught by
on_failurehandlers in function definitions - Used for validation and control flow
- Combined with templates for dynamic error messages
Example with error handling:
[
{
"$def": "validateAge",
"params": ["age"],
"body": [
{
"op": "if",
"cond": {"$not": [{"op": "assert", "value": "${int:${age}}", "return": true}]},
"then": [{"$raise": "Age must be a number"}]
},
{
"op": "if",
"cond": "${?source.age < `0`}",
"then": [{"$raise": "Age cannot be negative"}]
}
],
"on_failure": [
{"/validation_error": "@:/"}
]
},
{"/result": {"$func": "validateAge", "args": [25]}}
]
5. Shorthand Syntax
Shorthands are expanded by priority-ordered StageProcessors before execution.
~assert
{
"~assert": {
"/x": 10,
"/y": 20
}
}
Expands to:
[
{
"op": "assert",
"path": "/x",
"equals": 10
},
{
"op": "assert",
"path": "/y",
"equals": 20
}
]
~delete
{
"~delete": [
"/tmp",
"/cache"
]
}
Expands to:
[
{
"op": "delete",
"path": "/tmp"
},
{
"op": "delete",
"path": "/cache"
}
]
Append notation (field[])
{
"/items[]": 123
}
Expands to:
{
"op": "set",
"path": "/items/-",
"value": 123
}
Pointer assignment
{
"/name": "/user/fullName"
}
Expands to:
{
"op": "copy",
"from": "/user/fullName",
"path": "/name",
"ignore_missing": true
}
Literal assignment
{
"/status": "active"
}
Expands to:
{
"op": "set",
"path": "/status",
"value": "active"
}
Priority order: ~assert (100) → ~delete (50) → pointer/literal assignment (0)
Built-in Operations
All operations are registered as ActionHandler instances in the main registry.
set
Write value to destination path.
{
"op": "set",
"path": "/target",
"value": "...",
"create": true,
// Auto-create parents (default: true)
"extend": true
// Extend lists on append (default: true)
}
Special: path ending with /- appends to list.
copy
Copy value from source to destination.
{
"op": "copy",
"from": "/source/path",
"path": "/dest/path",
"ignore_missing": false,
// Skip if missing (default: false)
"default": "..."
// Fallback value
}
delete
Remove value at path.
{
"op": "delete",
"path": "/remove",
"ignore_missing": true
// Don't error if missing (default: true)
}
foreach
Iterate over array/mapping.
{
"op": "foreach",
"in": "/items",
"as": "item",
// Variable name (default: "item")
"do": [
...
],
// Nested actions
"skip_empty": true,
// Skip if empty (default: true)
"default": []
// Fallback if missing
}
Note: If source is a dict, iterates over (key, value) tuples.
Special variable _: Inside foreach body, you can access:
- Current item via
/${var}(e.g.,/item) - Original source via
/_/path(source from engine.apply) - Current dest via
@:/path
Example:
# Enrich items with global config from source
spec = {
"op": "foreach",
"in": "/products",
"as": "product",
"do": {
"/results[]": {
"$eval": [
{"/name": "${product/name}"},
{"/price": "${product/price}"},
{"/tax_rate": {"$ref": "/_/config/tax"}}, # From original source
{"/total": "${?source.price * source.tax_rate}"}
]
}
}
}
result = engine.apply(
spec,
source={
"products": [{"name": "A", "price": 100}, {"name": "B", "price": 200}],
"config": {"tax": 1.2}
},
dest={}
)
# → {"results": [{"name": "A", "price": 100, "tax_rate": 1.2, "total": 120}, ...]}
while
Loop while condition holds.
Path mode:
{
"op": "while",
"path": "/counter",
"equals": 0,
// Or "exists": true
"do": [
...
],
"do_while": false
// Execute at least once (default: false)
}
Expression mode:
{
"op": "while",
"cond": "${?dest.counter < `10`}",
"do": [
...
]
}
Note: Condition is checked against destination state. Use do_while: true to execute body at least once before checking condition.
if
Conditional execution.
Path mode:
{
"op": "if",
"path": "/check",
"equals": "value",
// Optional
"exists": true,
// Optional
"then": [
...
],
// Success branch
"else": [
...
]
// Failure branch
}
Expression mode:
{
"op": "if",
"cond": "${?source.age >= `18`}",
"then": [
...
]
}
exec
Execute nested script.
From source:
{
"op": "exec",
"from": "/script",
"merge": false
// Replace dest (default) or merge into it
}
Inline:
{
"op": "exec",
"actions": [
...
]
}
update
Merge mapping into target.
{
"op": "update",
"path": "/obj",
"value": {
"b": 2
},
// Or "from": "/source/obj"
"deep": false
// Recursive merge (default: false)
}
distinct
Remove duplicates from list.
{
"op": "distinct",
"path": "/items",
"key": "/id"
// Optional: compare by nested field
}
assert
Assert value existence/equality.
Basic usage:
{
"op": "assert",
// Check source
"path": "/required",
"equals": "value"
// Optional
}
With direct value:
{
"op": "assert",
"value": "${?source.computed}",
// Check computed value instead of path
"equals": "expected"
}
With return mode:
{
"op": "assert",
"path": "/optional",
"return": true,
// Return value instead of raising error
"to_path": "/result"
// Optional: write result to destination
}
return: true— returns value on success,falseon failure (instead of raising error)to_path— destination path for return valuevalue— alternative topath, checks direct value
Extending J-Perm
Custom Operations
Create a new ActionHandler and register it:
from j_perm import ActionHandler, ActionNode, OpMatcher, ExecutionContext
class MyOpHandler(ActionHandler):
def execute(self, step, ctx: ExecutionContext):
# Your logic here
return ctx.dest
# Register in main registry (in build_default_engine or custom factory)
registry.register(ActionNode(
name="my_op",
priority=10,
matcher=OpMatcher("my_op"),
handler=MyOpHandler(),
))
Custom Special Constructs
Add a SpecialFn to the specials dict:
def my_special(node, ctx):
value = ctx.engine.process_value(node["$mySpecial"], ctx)
return value.upper()
engine = build_default_engine(specials={
"$ref": ref_handler,
"$eval": eval_handler,
"$mySpecial": my_special,
})
Custom Stages
Create a StageProcessor for batch preprocessing:
from j_perm import StageProcessor, StageNode, StageRegistry
class ValidateStage(StageProcessor):
def apply(self, steps, ctx):
# Validate/transform steps
return steps
# Register in main pipeline stages
stages = build_default_shorthand_stages()
stages.register(StageNode(
name="validate",
priority=200, # Higher = runs earlier
processor=ValidateStage(),
))
# Use in custom engine
main_pipeline = Pipeline(stages=stages, registry=main_registry)
Custom Casters
Provide custom casters to TemplSubstHandler:
from j_perm import TemplSubstHandler
custom_casters = {
"int": lambda x: int(x),
"json": lambda x: json.loads(x),
}
handler = TemplSubstHandler(casters=custom_casters)
Or use the default (built-in int, float, bool, str).
Custom Matchers
Implement ActionMatcher or StageMatcher:
from j_perm import ActionMatcher
class PrefixMatcher(ActionMatcher):
def __init__(self, prefix):
self.prefix = prefix
def matches(self, step):
return isinstance(step, dict) and
step.get("op", "").startswith(self.prefix)
Advanced Topics
Value Stabilization Loop
When handlers call ctx.engine.process_value(value, ctx), the value pipeline runs repeatedly until:
- Output equals input (stable)
value_max_depthiterations reached (default: 50)
This resolves nested templates and special constructs:
# Input: {"$ref": "/path_to_template"}
# Pass 1: {"$ref": ...} → "${/nested}"
# Pass 2: "${/nested}" → "final"
# Pass 3: "final" → "final" (stable ✓)
Hierarchical Registries
Both StageRegistry and ActionTypeRegistry support tree structures:
# Group related operations
math_registry = ActionTypeRegistry()
math_registry.register(ActionNode("add", 10, AddMatcher(), AddHandler()))
math_registry.register(ActionNode("sub", 10, SubMatcher(), SubHandler()))
# Mount as sub-tree
main_registry.register_group(
"math",
math_registry,
matcher=OpMatcher("math"),
priority=50,
)
Priority and Execution Order
Stages: All matching stages run in priority order (high → low).
Actions: First matching handler executes (unless exclusive=False).
Shorthands:
AssertShorthandProcessor(100) — extracts~assertDeleteShorthandProcessor(50) — extracts~deleteAssignShorthandProcessor(0) — fallback for all remaining keys
Unescape Rules
After value stabilization, registered UnescapeRule callables strip escape sequences:
from j_perm import UnescapeRule
# Built-in: template_unescape (strips $${ → ${, $$ → $)
# Registered at priority 0
# Add custom unescape
engine.unescape_rules.append(
UnescapeRule(name="custom", priority=10, unescape=my_unescape_fn)
)
API Reference
Core Classes
from j_perm import (
# Core infrastructure
ExecutionContext,
ValueResolver,
Engine,
Pipeline,
# Stage system
StageProcessor,
StageMatcher,
StageNode,
StageRegistry,
# Action system
ActionHandler,
ActionMatcher,
ActionNode,
ActionTypeRegistry,
# Middleware
Middleware,
# Unescape
UnescapeRule,
)
Handlers
from j_perm import (
# Value handlers
TemplMatcher,
TemplSubstHandler,
SpecialMatcher,
SpecialResolveHandler,
ContainerMatcher,
RecursiveDescentHandler,
IdentityHandler,
# Special construct functions
ref_handler,
eval_handler,
and_handler,
or_handler,
not_handler,
# Function handlers
DefMatcher,
CallMatcher,
DefHandler,
CallHandler,
RaiseMatcher,
RaiseHandler,
JPermError,
# Operation handlers
SetHandler,
CopyHandler,
DeleteHandler,
ForeachHandler,
WhileHandler,
IfHandler,
ExecHandler,
UpdateHandler,
DistinctHandler,
AssertHandler,
)
Utilities
from j_perm import (
# Matchers
OpMatcher,
AlwaysMatcher,
# Resolver
PointerResolver,
# Shorthand stages
AssertShorthandProcessor,
DeleteShorthandProcessor,
AssignShorthandProcessor,
# Factory
build_default_engine,
build_default_shorthand_stages,
)
Examples
Example 1: Data Filtering
spec = {
"op": "foreach",
"in": "/products",
"do": {
"op": "if",
"cond": "${?source.item.price < `100`}",
"then": {"/affordable[]": "/item"}
}
}
Example 2: Conditional Copy with Default
spec = {
"/result": {
"$ref": "/maybe_missing",
"$default": "not found"
}
}
Example 3: Nested Evaluation
spec = {
"/computed": {
"$eval": [
{"op": "set", "path": "/x", "value": "${int:/a}"},
{"op": "set", "path": "/y", "value": "${int:/b}"}
],
"$select": "${?add(dest.x, dest.y)}"
}
}
Example 4: Mixed Shorthands
spec = [
{"~assert": {"/user/id": 123}},
{"~delete": "/temp"},
{"/output": "/user/name"}
]
Example 5: Functions with Error Handling
spec = [
# Define a validation function with error recovery
{
"$def": "validateAge",
"params": ["age"],
"body": [
# Validate age is a number
{
"op": "if",
"cond": {"$not": [{"op": "assert", "value": "${int:${age}}", "return": True}]},
"then": [{"$raise": "Age must be a number"}]
},
# Validate age is positive
{
"op": "if",
"cond": "${?source.age < `0`}",
"then": [{"$raise": "Age cannot be negative: ${age}"}]
},
{"/valid": True}
],
"return": "/valid",
"on_failure": [
# Capture the error in dest
{"/validation_failed": True},
{"/last_error": "Validation error occurred"}
]
},
# Use function to validate user input
{"/user_age_valid": {"$func": "validateAge", "args": [25]}},
# Access dest values with @: prefix
{
"op": "if",
"path": "@:/validation_failed",
"equals": True,
"then": [{"/message": "Please check your input: ${@:/last_error}"}]
}
]
License
MIT (or adapt to your project as needed)
Contributing
Issues and pull requests welcome!
Project details
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