Jargon
Define your CLI jargon with JSON Schema.
A Crystal library that generates CLI interfaces from JSON Schema definitions. Define your data structure once in JSON Schema, get a CLI parser with validation for free.
Features
- Validation: Required fields, enum values, strict type checking
- Defaults: Schema defaults, config file defaults, environment variables
- Config files: Load from
.config/(XDG spec) with deep merge support - Help text: Generated from schema descriptions
- Auto help flags:
--helpand-hdetected automatically - Shell completions: Generate completion scripts for bash, zsh, and fish
- Positional args: Non-flag arguments assigned by position and variadic support.
- Short flags: Single-character flag aliases (
-v,-n 5) - Boolean flags: Support both
--verboseand--verbose falsestyles - Subcommands: Named sub-parsers with independent schemas (supports abbreviated invocations)
- Default subcommand: Fall back to a subcommand when none specified
- Stdin JSON: Read arguments as JSON from stdin with
- - Typo suggestions: "Did you mean?" for mistyped options
- $ref support: Reuse definitions with
$ref: "#/$defs/typename"
Installation
Add the dependency to your shard.yml:
dependencies:
jargon:
github: trans/jargon
Then run shards install.
Usage
require "jargon"
# Define your schema
schema = %({
"type": "object",
"properties": {
"name": {"type": "string", "description": "User name"},
"age": {"type": "integer"},
"verbose": {"type": "boolean"}
},
"required": ["name"]
})
# Create CLI and parse arguments
cli = Jargon.cli("myapp", json: schema)
result = cli.parse(ARGV)
if result.help_requested?
puts cli.help
exit 0
elsif result.valid?
puts result.to_pretty_json
else
STDERR.puts result.errors.join("\n")
STDERR.puts cli.help
exit 1
end
YAML Schemas
YAML schemas are supported directly:
# schema.yaml
type: object
properties:
name:
type: string
description: User name
verbose:
type: boolean
short: v
required:
- name
schema = File.read("schema.yaml")
cli = Jargon.cli("myapp", yaml: schema)
Argument Styles
Three styles are supported interchangeably:
# Equals style (minimal)
myapp name=John age=30 verbose=true
# Colon style
myapp name:John age:30 verbose:true
# Traditional style
myapp --name John --age 30 --verbose
Mix and match as you like:
myapp name=John --age 30 verbose:true
Nested Objects
Use dot notation for nested properties:
schema = %({
"type": "object",
"properties": {
"user": {
"type": "object",
"properties": {
"name": {"type": "string"},
"email": {"type": "string"}
}
}
}
})
cli = Jargon.cli("myapp", json: schema)
result = cli.parse(["user.name=John", "[email protected]"])
# => {"user": {"name": "John", "email": "[email protected]"}}
Supported Types
| JSON Schema Type | CLI Example | Notes |
|------------------|-------------|-------|
| string | name=John | Default type |
| integer | count=42 | Parsed as Int64, strict validation |
| number | rate=3.14 | Parsed as Float64, strict validation |
| boolean | verbose=true or --verbose | Flag style supported |
| array | tags=a,b,c | Comma-separated |
| object | user.name=John | Dot notation |
Boolean Flags
Boolean flags support multiple styles:
# Flag style (sets to true)
myapp --verbose
# Explicit value
myapp --verbose true
myapp --verbose false
myapp --enabled no
# Equals style
myapp verbose=true
myapp --verbose=false
Recognized boolean values: true/false, yes/no, on/off, 1/0 (case-insensitive).
When a boolean flag is followed by a non-boolean value, the value is not consumed:
# --verbose is true, output.txt is a positional arg
myapp --verbose output.txt
Strict Numeric Validation
Invalid numeric values produce clear error messages:
$ myapp --count abc
Error: Invalid integer value 'abc' for count
$ myapp --count 10x
Error: Invalid integer value '10x' for count
Positional Arguments
Define positional arguments with the positional array:
schema = %({
"type": "object",
"positional": ["file", "output"],
"properties": {
"file": {"type": "string", "description": "Input file"},
"output": {"type": "string", "description": "Output file"},
"verbose": {"type": "boolean"}
},
"required": ["file"]
})
cli = Jargon.cli("myapp", json: schema)
result = cli.parse(["input.txt", "output.txt", "--verbose"])
# => {"file": "input.txt", "output": "output.txt", "verbose": true}
myapp input.txt output.txt --verbose
Variadic Positionals
When the last positional has type: array, it collects all remaining arguments:
schema = %({
"type": "object",
"positional": ["files"],
"properties": {
"files": {"type": "array", "description": "Input files"},
"number": {"type": "boolean", "short": "n"}
}
})
cli = Jargon.cli("cat", json: schema)
result = cli.parse(["-n", "a.txt", "b.txt", "c.txt"])
# => {"number": true, "files": ["a.txt", "b.txt", "c.txt"]}
cat -n a.txt b.txt c.txt
Note: Flags should come before variadic positionals. Collection stops at the first flag encountered.
Short Flags
Define short flag aliases with the short property:
schema = %({
"type": "object",
"properties": {
"verbose": {"type": "boolean", "short": "v"},
"count": {"type": "integer", "short": "n"},
"output": {"type": "string", "short": "o"}
}
})
cli = Jargon.cli("myapp", json: schema)
result = cli.parse(["-v", "-n", "5", "-o", "out.txt"])
# => {"verbose": true, "count": 5, "output": "out.txt"}
myapp -v -n 5 -o out.txt
myapp --verbose --count 5 --output out.txt # equivalent
Help Flags
Jargon automatically detects --help and -h flags:
cli = Jargon.cli("myapp", json: schema)
result = cli.parse(ARGV)
if result.help_requested?
if subcmd = result.help_subcommand
puts cli.help(subcmd)
else
puts cli.help
end
exit 0
end
myapp --help # top-level help
myapp -h # same
myapp fetch --help # subcommand help
myapp config set -h # nested subcommand help
If you define a help property or use -h as a short flag for something else, Jargon won't intercept those flags:
# User-defined help property takes precedence
schema = %({
"type": "object",
"properties": {
"help": {"type": "string", "description": "Help topic"},
"host": {"type": "string", "short": "h"}
}
})
cli = Jargon.cli("myapp", json: schema)
result = cli.parse(["--help", "topic"])
result.help_requested? # => false
result["help"].as_s # => "topic"
result = cli.parse(["-h", "localhost"])
result["host"].as_s # => "localhost"
Shell Completions
Jargon can generate shell completion scripts for bash, zsh, and fish. The --completions <shell> flag is detected automatically:
Installing Completions
Generate the completion script once and save it to your shell's completions directory:
# Bash
myapp --completions bash > ~/.local/share/bash-completion/completions/myapp
# Zsh (ensure ~/.zfunc is in your fpath)
myapp --completions zsh > ~/.zfunc/_myapp
# Fish
myapp --completions fish > ~/.config/fish/completions/myapp.fish
The generated scripts provide completions for:
- Subcommand names
- Long flags (
--verbose,--output) - Short flags (
-v,-o) - Enum values (e.g.,
--format json|yaml|xml) - Nested subcommands
Handling Completions In Code
cli = Jargon.cli("myapp", json: schema)
result = cli.parse(ARGV)
if result.completion_requested?
case result.completion_shell
when "bash" then puts cli.bash_completion
when "zsh" then puts cli.zsh_completion
when "fish" then puts cli.fish_completion
end
exit 0
end
Subcommands
Create CLIs with subcommands, each with their own schema:
cli = Jargon.new("myapp")
cli.subcommand("fetch", %({
"type": "object",
"positional": ["url"],
"properties": {
"url": {"type": "string", "description": "Resource URL"},
"depth": {"type": "integer", "short": "d"}
},
"required": ["url"]
}))
cli.subcommand("save", %({
"type": "object",
"properties": {
"message": {"type": "string", "short": "m"},
"all": {"type": "boolean", "short": "a"}
},
"required": ["message"]
}))
result = cli.parse(ARGV)
case result.subcommand
when "fetch"
url = result["url"].as_s
depth = result["depth"]?.try(&.as_i64)
when "save"
message = result["message"].as_s
all = result["all"]?.try(&.as_bool) || false
end
myapp fetch https://example.com/resource -d 1
myapp save -m "Updated config" -a
Nested Subcommands
Create nested subcommands by passing a CLI instance as the subcommand:
config = Jargon.new("config")
config.subcommand("set", %({
"type": "object",
"positional": ["key", "value"],
"properties": {
"key": {"type": "string"},
"value": {"type": "string"}
},
"required": ["key", "value"]
}))
config.subcommand("get", %({
"type": "object",
"positional": ["key"],
"properties": {
"key": {"type": "string"}
}
}))
cli = Jargon.new("myapp")
cli.subcommand("config", config)
cli.subcommand("status", %({"type": "object", "properties": {}}))
result = cli.parse(ARGV)
case result.subcommand
when "config set"
key = result["key"].as_s
value = result["value"].as_s
when "config get"
key = result["key"].as_s
when "status"
# ...
end
myapp config set api_url https://api.example.com
myapp config get api_url
myapp status
The result.subcommand returns the full path as a space-separated string (e.g., "config set").
Default Subcommand
Set a default subcommand to use when no subcommand name is given:
cli = Jargon.new("xerp")
cli.subcommand("index", %({...}))
cli.subcommand("query", %({
"type": "object",
"positional": ["query_text"],
"properties": {
"query_text": {"type": "string"},
"top": {"type": "integer", "default": 10, "short": "n"}
}
}))
cli.default_subcommand("query")
# These are equivalent:
xerp query "search term" -n 5
xerp "search term" -n 5
Note: If the first argument matches a subcommand name, it's treated as a subcommand, not as input to the default. Use the explicit form if you need to search for a term that matches a subcommand name.
Global Options
Use Jargon.merge to add common options to all subcommands:
global = %({
"type": "object",
"properties": {
"verbose": {"type": "boolean", "short": "v", "description": "Verbose output"},
"config": {"type": "string", "short": "c", "description": "Config file path"}
}
})
cli = Jargon.new("myapp")
cli.subcommand("fetch", Jargon.merge(%({
"type": "object",
"positional": ["url"],
"properties": {
"url": {"type": "string"},
"depth": {"type": "integer", "short": "d"}
}
}), global))
cli.subcommand("sync", Jargon.merge(%({
"type": "object",
"properties": {
"force": {"type": "boolean", "short": "f"}
}
}), global))
myapp fetch https://example.com/data -v
myapp sync --force --config myconfig.json
Subcommand properties take precedence if there's a conflict with global properties.
JSON from Stdin
Use - to read JSON input from stdin:
# JSON with subcommand field
echo '{"subcommand": "query", "query_text": "search term", "top": 5}' | xerp -
# JSON args for explicit subcommand
echo '{"result_id": "abc123", "useful": true}' | xerp mark -
If no subcommand field is present in xerp -, the default subcommand is used (if set).
The field name is configurable:
cli.subcommand_key("op") # default is "subcommand"
echo '{"op": "query", "query_text": "search"}' | xerp -
Environment Variables
Map schema properties to environment variables with the env property:
schema = %({
"type": "object",
"properties": {
"api-key": {"type": "string", "env": "MY_APP_API_KEY"},
"host": {"type": "string", "env": "MY_APP_HOST", "default": "localhost"},
"debug": {"type": "boolean", "env": "MY_APP_DEBUG"}
}
})
cli = Jargon.cli("myapp", json: schema)
result = cli.parse(ARGV)
export MY_APP_API_KEY=secret123
export MY_APP_HOST=prod.example.com
myapp --debug # api-key and host from env, debug from CLI
Merge order (highest priority first):
- CLI arguments
- Environment variables
- Config file defaults
- Schema defaults
Config Files
Load configuration from standard XDG locations with load_config. Supports YAML and JSON:
cli = Jargon.cli("myapp", json: schema)
config = cli.load_config # Returns JSON::Any or nil
result = cli.parse(ARGV, defaults: config)
Paths searched (first found wins, or merged if merge: true):
./.config/myapp.yaml/.yml/.json(project local)./.config/myapp/config.yaml/.yml/.json(project local, directory style)$XDG_CONFIG_HOME/myapp.yaml/.yml/.json(user global, typically~/.config)$XDG_CONFIG_HOME/myapp/config.yaml/.yml/.json(user global, directory style)
YAML is preferred over JSON when both exist at the same location.
By default, configs are deep-merged with project overriding user:
# Merge all found configs (default) - project wins over user
config = cli.load_config
# Or first-found wins
config = cli.load_config(merge: false)
Deep Merge
Nested objects are recursively merged, not overwritten:
# User config (~/.config/myapp.yaml)
database:
host: localhost
port: 5432
user: default_user
# Project config (.config/myapp.yaml)
database:
host: production.example.com
# Result after merge:
database:
host: production.example.com # from project
port: 5432 # preserved from user
user: default_user # preserved from user
Config Warnings
Invalid config files emit warnings to STDERR by default. To suppress:
Jargon.config_warnings = false
config = cli.load_config
Jargon.config_warnings = true
Example project config (.config/myapp.yaml):
host: localhost
port: 8080
debug: true
Or JSON (.config/myapp.json):
{
"host": "localhost",
"port": 8080,
"debug": true
}
The defaults: parameter accepts any JSON-like data, so you can load config however you prefer:
# From YAML
config = YAML.parse(File.read("config.yaml"))
result = cli.parse(ARGV, defaults: config)
# From JSON
config = JSON.parse(File.read("settings.json"))
result = cli.parse(ARGV, defaults: config)
API
# Create CLI (program name first, named schema parameter)
cli = Jargon.cli(program_name, json: json_string)
cli = Jargon.cli(program_name, yaml: yaml_string)
cli = Jargon.cli(program_name, file: "schema.json")
# Create CLI - explicit form
cli = Jargon::CLI.from_json(json_string, program_name)
cli = Jargon::CLI.from_yaml(yaml_string, program_name)
cli = Jargon::CLI.from_file("schema.json", program_name)
# Create CLI - deprecated (use Jargon.cli instead)
cli = Jargon.from_json(json_string, program_name)
cli = Jargon.from_file("schema.json", program_name)
# For subcommands (no root schema)
cli = Jargon.new(program_name)
cli.subcommand("name", json_schema_string)
# Merge global options into subcommand schema
merged = Jargon.merge(subcommand_schema, global_schema)
# Parse arguments
result = cli.parse(ARGV)
result = cli.parse(ARGV, defaults: config) # with config defaults
# Config file loading
config = cli.load_config # merge all found configs (project wins)
config = cli.load_config(merge: false) # first found wins
paths = cli.config_paths # list of paths searched
# Check validity
result.valid? # => true/false
result.errors # => Array(String)
# Get data
result.to_json # => compact JSON string
result.to_pretty_json # => formatted JSON string
result["key"] # => access values
result.subcommand # => String? (nil if no subcommands)
# Help detection
result.help_requested? # => true if --help/-h was passed
result.help_subcommand # => String? (which subcommand's help, nil for top-level)
# Completion detection
result.completion_requested? # => true if --completions was passed
result.completion_shell # => String? ("bash", "zsh", or "fish")
# Help text
cli.help # => usage string with all options
cli.help("fetch") # => help for specific subcommand
cli.help("config set") # => help for nested subcommand
# Completion scripts
cli.bash_completion # => bash completion script
cli.zsh_completion # => zsh completion script
cli.fish_completion # => fish completion script
Development
Prerequisites
- Crystal >= 1.18.2
Running Tests
shards install
crystal spec
Project Structure
src/
├── jargon.cr # Main module, convenience methods
└── jargon/
├── cli.cr # Core CLI parser
├── schema.cr # JSON Schema parsing
├── schema/property.cr # Property definitions
├── result.cr # Parse result container
├── config.cr # Config file loading (XDG)
├── help.cr # Help text generation
└── completion.cr # Shell completion scripts
spec/
└── jargon_spec.cr # Test suite
Building Docs
crystal docs
open docs/index.html
License
MIT