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The Firm DSL (Domain-Specific Language) is used to define entities and schemas in plain text `.firm` files.
## Design philosophy
The Firm language is inspired by HashiCorp Configuration Language (HCL) but simplified for business entity modeling. Firm keeps HCL's clean block syntax and nested blocks while reducing complexity with a more restricted grammar and focused type system.
The syntax is intentionally simple, making it:
- Easy to write by hand
- Straightforward to parse programmatically
- Simple to generate from tooling
This makes it suited for both human authoring and machine generation in business workflows.
The grammar is defined in the [tree-sitter-firm](https://github.com/42futures/tree-sitter-firm) repository, which is a submodule of this project. Using Tree-sitter also enables editor integrations like syntax highlighting and code navigation in editors such as Zed.
## Blocks
Blocks are the fundamental structural elements in Firm DSL, enclosed in curly braces `{ }`.
### Entity blocks
Define an entity with a type and ID:
```firm
person john_doe {
name = "John Doe"
email = "john@example.com"
}
```
Syntax: `<entity_type> <entity_id> { <fields> }`
### Schema blocks
Define a schema for an entity type:
```firm
schema task {
field {
name = "name"
type = "string"
required = true
}
field {
name = "is_completed"
type = "boolean"
required = false
}
}
```
Syntax: `schema <schema_name> { <field_definitions> }`
### Nested blocks
Schemas use nested blocks for field definitions:
```firm
schema project {
field {
name = "status"
type = "enum"
allowed_values = ["planning", "active", "completed"]
required = true
}
}
```
## Fields
Fields are key-value pairs defined with the assignment operator `=`.
Syntax: `<field_name> = <value>`
## Field types
### String
Single-line strings:
```firm
name = "John Doe"
```
Multiline strings with triple quotes:
```firm
description = """
This is a multiline string.
It can span multiple lines.
"""
```
### Number
Integers and floats:
```firm
age = 30
height = 1.75
```
### Boolean
True or false values:
```firm
is_completed = true
is_active = false
```
### Currency
Monetary values with ISO 4217 currency codes:
```firm
budget = 5000.00 USD
cost = 299.99 EUR
```
Syntax: `<amount> <CURRENCY_CODE>`
### Date
ISO 8601 date format:
```firm
start_date = 2025-01-15
```
Syntax: `YYYY-MM-DD`
### DateTime
Date with time and optional timezone:
```firm
due_date = 2025-01-15 at 17:00
created = 2025-01-15 at 17:00 UTC+3
meeting = 2025-01-15 at 09:00 UTC
```
Syntax: `YYYY-MM-DD at HH:MM [UTC[+/-]Z]`
### Reference
Entity references:
```firm
assignee_ref = person.john_doe
```
Field references:
```firm
assignee_name = person.john_doe.name
```
Syntax: `<type>.<id>` or `<type>.<id>.<field>`
### List
Homogeneous lists (all items must be the same type):
```firm
tags = ["urgent", "frontend", "bug"]
urls = ["https://example.com", "https://github.com"]
```
Trailing commas are allowed:
```firm
tags = [
"urgent",
"frontend",
"bug",
]
```
### Path
File path literals:
```firm
contract = path"./contracts/acme.pdf"
deliverable = path"/Users/john/Documents/report.pdf"
```
Syntax: `path"<path>"`
### Enum
Enumerated values:
```firm
status = enum"active"
priority = enum"high"
```
Syntax: `enum"<value>"`
## Comments
Single-line comments:
```firm
// This is a single-line comment
person john_doe {
name = "John Doe" // Inline comment
}
```
Multi-line comments:
```firm
/*
This is a multi-line comment.
It can span multiple lines.
*/
person john_doe {
name = "John Doe"
}
```
## Identifiers
Identifiers (entity types, entity IDs, field names, schema names) must:
- Start with a letter or underscore
- Contain only letters, numbers, and underscores
- Use snake_case convention
Valid identifiers: `person`, `john_doe`, `my_organization`, `_private`
Invalid identifiers: `123abc`, `my-entity`, `my.field`
## Why not YAML or JSON?
The Firm language is optimized for readability and compactness while retaining rich typing information:
- **More scannable than YAML** - Block syntax makes entity boundaries clear at a glance
- **Less verbose than JSON** - No need for extensive quoting and bracket nesting
- **Native support for business concepts** - Built-in support for currency, dates, and references
- **Schema definitions** - First-class support for defining custom entity types
The result is a format that's both human-friendly for manual editing and machine-friendly for programmatic generation.
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