Field Types

When parse_schema() reads your annotated structs, it maps each field’s Rust type into a FieldType variant and each #[ontology(...)] annotation into a FieldRole. These two enums drive all downstream code generation — how columns are typed in SeaORM, how fields appear in DTOs, what TypeScript type is emitted, etc.

FieldType

A simplified representation of the Rust type. Ontogen only needs to know the shape of a type for code generation — it doesn’t need to resolve the full type system.

Type mapping table

FieldType variant	Rust type	SeaORM column type	SQL type (SQLite)	TypeScript type
String	String	String	TEXT NOT NULL	string
OptionString	Option<String>	Option<String>	TEXT	string | null
I32	i32	i32	INTEGER NOT NULL	number
OptionI32	Option<i32>	Option<i32>	INTEGER	number | null
I64	i64	i64	INTEGER NOT NULL	number
OptionI64	Option<i64>	Option<i64>	INTEGER	number | null
F32	f32	f32	REAL NOT NULL	number
OptionF32	Option<f32>	Option<f32>	REAL	number | null
F64	f64	f64	REAL NOT NULL	number
OptionF64	Option<f64>	Option<f64>	REAL	number | null
Bool	bool	bool	BOOLEAN NOT NULL	boolean
OptionBool	Option<bool>	Option<bool>	BOOLEAN	boolean | null
OptionEnum(name)	Option<EnumType>	Option<String>	TEXT	string | null
VecString	Vec<String>	String (JSON)	TEXT NOT NULL	string[]
VecStruct(name)	Vec<StructType>	String (JSON)	TEXT NOT NULL	StructType[]
Other(name)	anything else	String	TEXT NOT NULL	string

How types are detected

parse_schema() uses syn to inspect the Type of each field. The detection logic is straightforward pattern matching:

• String — exact match.
• Option<String> — Option wrapper with String inner type.
• Option<SomeType> where the field has #[ontology(enum_field)] — becomes OptionEnum("SomeType").
• Vec<String> — Vec wrapper with String inner type.
• Vec<SomeType> where SomeType is not String — becomes VecStruct("SomeType").
• i32, i64, f32, f64, bool and their Option wrappers — exact matches.
• Everything else — Other("TypeName"), treated as a string-serialized value.

Note

i64 is also used for u64 fields. SQLite has no unsigned integer type, so Ontogen treats both as i64 in the SeaORM layer. If you need unsigned semantics, enforce that in your application logic or hooks.

Vec fields in the database

Vec<String> and Vec<StructType> fields are stored as JSON-serialized strings in the database column. The SeaORM entity uses a String column, and the conversion layer handles serde_json::to_string() / serde_json::from_str().

The exception is Vec<String> fields annotated with a relation (belongs_to, has_many, many_to_many). These aren’t stored in the entity’s table at all — they’re populated at read time from the related table or junction table.

OptionEnum handling

When a field has #[ontology(enum_field)] and an Option<T> type, the FieldType is OptionEnum("T"). The string inside is the enum type name.

In the SeaORM entity, this becomes an Option<String> column. The conversion code uses .map(|v| v.to_string()) going into the database and .map(|s| s.parse().unwrap()) coming out.

Your enum type needs to implement Display + FromStr or handle serde string conversion. Ontogen doesn’t generate the enum — you provide it.

Other fallback

Any type that doesn’t match the known patterns becomes Other("TypeName"). It’s treated as string-serialized in the database. This works for custom types that implement Serialize/Deserialize, but you lose type-specific behavior in the generated code.

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FieldRole

Determines how a field participates in code generation. Set by #[ontology(...)] annotations on the field.

FieldRole variant	Annotation	Description
Id	#[ontology(id)]	Primary key. One per entity.
Body	#[ontology(body)]	Markdown body content (below frontmatter).
EnumField	#[ontology(enum_field)]	Enum type stored as string.
Relation(RelationInfo)	#[ontology(relation(...))]	Cross-entity reference.
Plain	(none)	Regular data field. Default for unannotated fields.
Skip	#[ontology(skip)]	Excluded from all code generation.

Role effects by generator

Generator	Id	Body	EnumField	Relation	Plain	Skip
SeaORM entity	Primary key	Regular column	String column	FK column or excluded	Regular column	Excluded
SeaORM conversion	Included	Included	String conversion	FK: included; Vec: skipped (populated separately)	Included	Excluded
DTOs (Create)	Included	Included	Included	Included	Included	Excluded
DTOs (Update)	Excluded	Included	Included	Included	Included	Excluded
Store CRUD	Lookup key	Regular field	Regular field	Relation population / junction sync	Regular field	Excluded
Markdown writer	Frontmatter	Body section	Frontmatter	Wikilink formatting	Frontmatter	Excluded
Markdown parser	Frontmatter	Body section	Frontmatter	Wikilink parsing	Frontmatter	Excluded

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RelationInfo

Attached to fields with FieldRole::Relation. Describes the relationship between entities.

Field	Type	Description
kind	RelationKind	The cardinality of the relation.
target	String	Target entity name (e.g., "Tag", "Workout"). Must match a struct name in your schema.
junction	Option<String>	Override for junction table name. Only used with ManyToMany. Derived automatically if not specified.
foreign_key	Option<String>	FK column on the target entity. Only used with HasMany.

RelationKind

Variant	Schema field type	Junction table	FK column	Description
BelongsTo	String or Option<String>	No	On this entity	This entity holds a FK pointing to the target.
HasMany	Vec<String>	No	On the target entity	The target entity has a FK pointing back to this entity.
ManyToMany	Vec<String>	Yes	In the junction table	Both sides linked through a junction table.

BelongsTo example

#[ontology(relation(belongs_to, target = "Workout"))]
pub workout_id: String,

The workout_id column exists on this entity’s table. SeaORM generates a BelongsTo relation variant.

HasMany example

#[ontology(relation(has_many, target = "WorkoutSet", foreign_key = "workout_id"))]
pub sets: Vec<String>,

No column on this entity’s table. The WorkoutSet entity has a workout_id column. At read time, populate_*_relations() queries workout_sets where workout_id matches.

ManyToMany example

#[ontology(relation(many_to_many, target = "Tag"))]
pub tags: Vec<String>,

A junction table (workout_tags) is generated with workout_id and tag_id columns. At read time, populate_*_relations() loads tag IDs from the junction table. On create/update, sync_junction() replaces the junction rows.

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FieldDef

The full field definition as parsed from your schema struct.

Field	Type	Description
name	String	Rust field name (e.g., "workout_id", "tags").
field_type	FieldType	Simplified type representation.
role	FieldRole	Role in the ontology model.
serde_default	bool	Whether the field has #[serde(default)].
multiline_list	bool	Whether #[ontology(multiline_list)] is present. Affects Markdown rendering.
default_value	Option<String>	Value from #[ontology(default_value = "...")]. When the field matches this value, it’s omitted from Markdown frontmatter.

EntityDef

The full entity definition. One per annotated struct.

Field	Type	Default	Description
name	String	—	Rust struct name (e.g., "Workout").
directory	String	snake_case of name	Subdirectory for Markdown files.
table	String	snake_case of name	SeaORM table name.
type_name	String	snake_case of name	Frontmatter type: value.
prefix	String	snake_case of name	ID prefix.
fields	Vec<FieldDef>	—	All fields on the struct.

Helper methods on EntityDef

Method	Return type	Description
id_field()	Option<&FieldDef>	The field with FieldRole::Id, if any.
body_field()	Option<&FieldDef>	The field with FieldRole::Body, if any.
relation_fields()	impl Iterator<Item = &FieldDef>	All fields with FieldRole::Relation(_).
junction_relations()	impl Iterator<Item = (&FieldDef, &RelationInfo)>	All ManyToMany relation fields.
has_many_relations()	impl Iterator<Item = (&FieldDef, &RelationInfo)>	All HasMany relation fields.
belongs_to_relations()	impl Iterator<Item = (&FieldDef, &RelationInfo)>	All BelongsTo relation fields.