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name: gnu-recutils description: Work with GNU recutils for plain-text record databases. Use when creating, querying, or validating .rec files, defining record schemas with %rec descriptors, converting between rec/CSV formats, or when the user mentions recutils, recsel, recins, recfmt, or record-oriented data files.

GNU Recutils

GNU recutils is a set of tools for managing human-readable, plain-text databases. Records are stored in .rec files with a simple field: value syntax.

Quick Reference

Core Commands

Command	Purpose
recsel	Select and query records
recins	Insert new records
recdel	Delete records
recset	Modify field values
recfix	Validate, check integrity, sort
recfmt	Format output with templates
recinf	Print information about rec files
rec2csv	Convert to CSV
csv2rec	Convert from CSV

Basic File Format

# Comment line
Field_name: field value
Another_field: another value

Field_name: second record
Another_field: its value

Records are separated by blank lines. Field names are case-sensitive and conventionally capitalized.

Multi-line Values

Use + continuation for multi-line content:

Description: This is the first line
+ and this continues on the second line
+ and a third line too.

Or use backslash at end of line:

Description: This is a long value that \
continues on the next line.

Schema Definitions (%rec Descriptors)

Place schema declarations before records:

%rec: Entity
%key: Id
%mandatory: Id Name
%allowed: Id Name Prototype Description OnLook OnTouch
%type: Prototype rec Entity
%type: Count int
%type: Active bool
%unique: Name

Id: sword
Name: Iron Sword
Count: 1
Active: yes

Common Descriptors

Descriptor	Purpose	Example
%rec: Type	Names the record type	%rec: Entity
%key: field	Primary key (unique, mandatory)	%key: Id
%mandatory: f1 f2	Required fields	%mandatory: Id Name
%allowed: f1 f2	Whitelist of valid fields	%allowed: Id Name Desc
%prohibit: f1	Forbidden fields	%prohibit: Password
%unique: field	Field must be unique	%unique: Email
%type: field type	Field type constraint	%type: Count int
%auto: field	Auto-generated field	%auto: Created_at
%sort: field	Default sort order	%sort: Name

Field Types

Type	Description	Example Values
int	Integer	42, -7
real	Floating point	3.14, -2.5
bool	Boolean	yes, no, true, false, 1, 0
line	Single line (no newlines)	Hello world
date	ISO 8601 date	2024-01-15
email	Email address	user@example.com
uuid	UUID	550e8400-e29b-41d4-a716-446655440000
rec Type	Foreign key reference	References another record type
enum A B C	Enumeration	One of the listed values
regexp /pattern/	Regex pattern	Must match pattern
size N	Max size in bytes	String length limit
range MIN MAX	Numeric range	range 1 100

Foreign Key References

%rec: Room
%key: Id

Id: tavern
Name: The Rusty Tavern

%rec: Entity
%key: Id
%type: Room rec Room

Id: mug
Name: Beer Mug
Room: tavern

Entity Containment (MUDD)

Entities can be nested using a Container field:

%rec: Entity
%key: Id
%type: Prototype rec Entity
%type: Container rec Entity

Id: table
Name: Wooden Table
Prototype: furniture

Id: lamp
Name: Brass Lamp
Prototype: object
Container: table

The lamp is "on" the table. Recfix validates that Container references exist.

Common Operations

Query Records

# All records
recsel data.rec

# Filter by field value
recsel -e 'Name = "sword"' data.rec

# Pattern matching
recsel -e 'Name ~ "Iron"' data.rec

# Numeric comparison
recsel -e 'Count > 5' data.rec

# Multiple conditions
recsel -e 'Type = "weapon" && Count > 0' data.rec

# Select specific fields
recsel -p Id,Name data.rec

# Count matching records
recsel -c -e 'Active = yes' data.rec

# Select by record type
recsel -t Entity data.rec

Insert Records

# Insert from stdin
echo -e "Id: axe\nName: Battle Axe" | recins data.rec

# Insert with field values
recins -f Id -v sword -f Name -v "Iron Sword" data.rec

Modify Records

# Update field value
recset -e 'Id = "sword"' -f Count -s 5 data.rec

# Delete field from record
recset -e 'Id = "sword"' -f Obsolete -d data.rec

Delete Records

# Delete matching records
recdel -e 'Count = 0' data.rec

# Delete by record number
recdel -n 3 data.rec

Validate

# Check file integrity
recfix data.rec

# Check and report all errors
recfix --check data.rec

Convert Formats

# To CSV
rec2csv data.rec > data.csv

# From CSV
csv2rec data.csv > data.rec

Format Output

# Custom output format
recsel data.rec | recfmt '{{Id}}: {{Name}}\n'

# Template-based formatting (recfmt reads from stdin)
recsel data.rec | recfmt -f template.fmt

Expression Syntax

Used with -e flag in recsel, recdel, recset:

Operator	Meaning	Example
=	Equals	Name = "sword"
!=	Not equals	Type != "armor"
<, >, <=, >=	Numeric comparison	Count > 5
~	Regex match	Name ~ "^Iron"
&&	Logical AND	Type = "weapon" && Rare = yes
`		`
!	Logical NOT	! (Count = 0)
#field	Field count (0 if absent)	#Description

Tips

• Use recfix --check before loading data to catch schema violations
• Foreign keys (%type: Field rec OtherType) validate references exist
• Field names start with a letter and contain only [a-zA-Z0-9_]; special fields start with %
• Empty lines separate records; use + continuation for multi-line values
• Comments start with # at the beginning of a line
• For JSON output, pipe through recsel -p and parse with a script

MUDD Naming Convention

In this project, entity fields use PascalCase (e.g., DescriptionShort, OnAttack). This avoids visual noise from underscores. See data/entities.rec for examples.