feat(dofs): add unified multi-field specification system

New 396-line field specification system:
- @DOFSet macro for clean multi-field syntax
- ndofs(): compute total DOFs for field specifications
- field_ndofs(): count DOFs per field
- field_names(), field_count(), is_single_field(): field queries
- quantity_type(), entity_type(): extract field components
- single_field(): convert single-field DOFSet to DOF type
- Support for single-field and multi-field specifications
- Comprehensive documentation with examples

Implements unified multi-field architecture where single-field is special case.
This commit is contained in:
Jukka Aho
2025-12-15 06:09:17 +02:00
parent 2df1072f65
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# This file is a part of JuliaFEM.
# License is MIT: see https://github.com/JuliaFEM/JuliaFEM.jl/blob/master/LICENSE
"""
Field System - Unified Multi-Field Architecture
# Core Principle: Multi-Field is Fundamental
**Single-field is just a special case of multi-field with one key!**
Every element has a field specification `S` which is a `DOFSet` (currently implemented as NamedTuple):
```julia
S = @DOFSet{
field_name::DOF{FieldType, EntityType}
}
```
# Field Specification Anatomy
```julia
@DOFSet{
T::DOF{Temperature, Vertex}, # Temperature (scalar at vertices)
u::DOF{Displacement{3}, Vertex}, # Displacement (vector at vertices)
p::DOF{Pressure, Cell}, # Pressure (scalar at cells)
φ::DOF{ElectricPotential, Edge} # Electric (scalar on edges)
}
```
**Note**: `@NamedTuple` also works (since `DOFSet = NamedTuple`), but `@DOFSet` is preferred for future compatibility.
Each field is a `DOF{FieldType, EntityType}`:
- **FieldType**: `Displacement{Dim}`, `Temperature`, `DisplacementRotation{Dim}`, etc. (from AbstractField)
- **EntityType**: `Vertex`, `Edge`, `Face`, `Cell` (topological entity)
The field type encodes both the physical meaning and the underlying quantity type (Vec, Float64, etc.).
# Examples
**Single-field (displacement):**
```julia
S = @DOFSet{u::DOF{Displacement{3}, Vertex}}
Element{Tetrahedron{4}, Lagrange{1}, S}
```
**Multi-field (thermo-mechanical):**
```julia
S = @DOFSet{
T::DOF{Temperature, Vertex},
u::DOF{Displacement{3}, Vertex}
}
Element{Tetrahedron{4}, Lagrange{1}, S}
# DOF access: elem.dof_indices.T, elem.dof_indices.u
```
**Complex multi-physics (THM-E):**
```julia
S = @NamedTuple{
T::DOF{Temperature, Vertex}, # Thermal
u::DOF{Displacement{3}, Vertex}, # Mechanical
p::DOF{Pressure, Cell}, # Hydraulic (discontinuous)
φ::DOF{ElectricPotential, Edge} # Electrical (Nédélec)
}
```
# Macro Sugar (@Fields was removed - use @DOFSet)
```julia
@DOFSet{
T::DOF{Temperature, Vertex},
u::DOF{Displacement{3}, Vertex},
p::DOF{Pressure, Cell},
φ::DOF{ElectricPotential, Edge}
}
# Equivalent to @NamedTuple:
@NamedTuple{
T::DOF{Temperature, Vertex},
u::DOF{Displacement{3}, Vertex},
p::DOF{Pressure, Cell},
φ::DOF{ElectricPotential, Edge}
}
```
# Compile-Time Computation
All field information is encoded in types:
```julia
# Number of DOFs for a field
@pure function field_ndofs(::Type{Tuple{T,E}}, ::Type{Topo}) where {T,E,Topo}
return dof_size(T) * nentities(Topo, E)
end
# Total DOFs for element
@pure function ndofs(::Type{S}, ::Type{Topo}) where {S<:DOFSet, Topo}
return sum(field -> field_ndofs(field, Topo), fieldtypes(S))
end
```
Everything resolves at compile time! Zero runtime overhead.
# Architecture Benefits
1. **Unified**: Single and multi-field use same code path
2. **Type-safe**: All dispatch on field specification type
3. **Named access**: `elem.dof_indices.T` self-documenting
4. **Extensible**: Add new fields without changing Element struct
5. **Efficient**: Compile-time computation, zero overhead
6. **Clean**: Multi-field is the general case, not a special case
# Migration Path
Old code with single DOF:
```julia
DOF{Vec{3}, Vertex} # Old API
```
New unified field specification:
```julia
@NamedTuple{u::Tuple{Displacement{3}, Vertex}} # New API (single field)
```
We can provide compatibility wrappers during migration.
"""
# ============================================================================
# Field Query Functions
# ============================================================================
"""
quantity_type(::Type{DOF{T,E}}) → Type
Extract quantity type from field specification.
Expects field types (AbstractField) in DOF:
- `DOF{Displacement{3}, Vertex}` → `Vec{3}` (via trait)
- `DOF{Temperature, Vertex}` → `Float64` (via trait)
# Examples
```julia
quantity_type(DOF{Displacement{3}, Vertex}) # Vec{3} (via trait)
quantity_type(DOF{Temperature, Vertex}) # Float64 (via trait)
```
# Implementation
The function extracts the field type from the tuple, then uses the `quantity_type()` trait
to get the underlying quantity type (Vec, Float64, etc.).
# See Also
- [`quantity_type(::Type{<:AbstractField})`](@ref) - Trait for field types
"""
# Support DOF{T,E} syntax (only syntax)
@inline function quantity_type(::Type{D}) where {D<:DOF}
# Extract field type T from DOF{T,E}
T = D.parameters[1]
if T <: AbstractField
return quantity_type(T)
else
error("Expected field type (AbstractField) in DOF, got $T. Use format: DOF{FieldType, EntityType}")
end
end
"""
entity_type(::Type{DOF{T,E}}) → Type{E}
Extract entity type from field specification.
# Examples
```julia
entity_type(DOF{Displacement{3}, Vertex}) # Returns Vertex
```
"""
# Support DOF{T,E} syntax (only syntax)
@inline entity_type(::Type{D}) where {D<:DOF} = D.parameters[2]
"""
field_ndofs(::Type{DOF{T,E}}, ::Type{Topo}) → Int
Number of DOFs for a single field on given topology.
Computed at compile time: `dof_size(quantity_type(T)) × nentities(E, Topo)`
# Examples
```julia
field_ndofs(DOF{Displacement{3}, Vertex}, Tetrahedron{4}) # 3 × 4 = 12
```
"""
# Support DOF{T,E} syntax (only syntax)
@inline Base.@pure function field_ndofs(::Type{D}, ::Type{Topo}) where {D<:DOF, Topo}
T = D.parameters[1]
E = D.parameters[2]
# T is a field type (AbstractField), need to get quantity type first
if T <: AbstractField
Q = quantity_type(T) # Get underlying quantity type (Vec, Float64, etc.)
return dof_size(Q) * nentities(Topo, E)
else
error("Expected field type (AbstractField) in DOF, got $T. Use format: DOF{FieldType, EntityType}")
end
end
# Single-field DOF{T,E} types
@inline Base.@pure function ndofs(::Type{D}, ::Type{Topo}) where {D<:DOF, Topo<:AbstractTopology}
# Extract T and E from DOF{T,E}
T = D.parameters[1]
E = D.parameters[2]
return dof_size(T) * nentities(Topo, E) # Topology FIRST, entity SECOND
end
"""
ndofs(::Type{S}, ::Type{Topo}) → Int where {S<:DOFSet}
Total DOFs for multi-field specification on given topology.
# Example
```julia
S = @DOFSet{T::DOF{Temperature,Vertex}, u::DOF{Displacement{3},Vertex}}
ndofs(S, Tetrahedron{4}) # 4 + 12 = 16
```
"""
@inline Base.@pure function ndofs(::Type{S}, ::Type{Topo}) where {S<:DOFSet, Topo<:AbstractTopology}
# Sum ndofs for each field
total = 0
for name in fieldnames(S)
FieldType = fieldtype(S, name)
# Only support DOF{FieldType, Entity} format
if FieldType <: DOF
total += field_ndofs(FieldType, Topo)
else
error("Expected DOF{FieldType, Entity} for field :$name, got $FieldType. Use format: @DOFSet{field::DOF{FieldType, Entity}}")
end
end
return total
end
# ============================================================================
# Compatibility Helpers (for migration)
# ============================================================================
"""
single_field(field_name::Symbol, quantity::Type, entity::Type)
Create a single-field specification.
# Example
```julia
S = single_field(:u, Vec{3}, Vertex)
# Equivalent to: @NamedTuple{u::Tuple{Vec{3}, Vertex}}
```
"""
function single_field(field_name::Symbol, quantity::Type, entity::Type)
return @eval @NamedTuple{$field_name::Tuple{$quantity, $entity}}
end
"""
field_names(::Type{S}) → NTuple{N,Symbol} where {S<:DOFSet}
Get field names from specification.
# Example
```julia
S = @NamedTuple{T::Tuple{Temperature,Vertex}, u::Tuple{Displacement{3},Vertex}}
field_names(S) # (:T, :u)
```
"""
@inline field_names(::Type{S}) where {S<:DOFSet} = fieldnames(S)
"""
field_count(::Type{S}) → Int where {S<:DOFSet}
Number of fields in specification.
# Example
```julia
S = @NamedTuple{T::Tuple{Temperature,Vertex}, u::Tuple{Displacement{3},Vertex}}
field_count(S) # 2
```
"""
@inline field_count(::Type{S}) where {S<:DOFSet} = fieldcount(S)
"""
is_single_field(::Type{S}) → Bool where {S<:DOFSet}
Check if specification has exactly one field.
# Example
```julia
S1 = @NamedTuple{u::Tuple{Displacement{3},Vertex}}
is_single_field(S1) # true
S2 = @NamedTuple{T::Tuple{Temperature,Vertex}, u::Tuple{Displacement{3},Vertex}}
is_single_field(S2) # false
```
"""
@inline is_single_field(::Type{S}) where {S<:DOFSet} = fieldcount(S) == 1
# ============================================================================
# Element Accessor Functions (convenience wrappers)
# ============================================================================
"""
element_id(element) → UInt
Get element ID.
# Example
```julia
elem = Element{Triangle{3}, Lagrange{1}, S}(UInt(42), dof_indices)
element_id(elem) # 42
```
"""
@inline element_id(element) = element.id
"""
n_element_dofs(element) → Int
Total number of DOFs for this element (sum over all fields).
# Example
```julia
# Single field: u ∈ Vec{3} at 4 vertices → 12 DOFs
elem = Element{Tetrahedron{4}, Lagrange{1}, S_u}(id, (u=(1:12...,),))
n_element_dofs(elem) # 12
# Multi-field: T + u → 4 + 12 = 16 DOFs
elem = Element{Tetrahedron{4}, Lagrange{1}, S_Tu}(id, (T=(1:4...,), u=(5:16...,)))
n_element_dofs(elem) # 16
```
"""
@inline function n_element_dofs(element)
total = 0
for field_indices in element.dof_indices
total += length(field_indices)
end
return total
end
"""
element_dofs(element, field_name::Symbol) → Tuple{Int,...}
Get DOF indices for specific field.
# Example
```julia
S_THM = @DOFSet{
T::Tuple{Temperature, Vertex},
p::Tuple{Pressure, Vertex},
u::Tuple{Displacement{3}, Vertex}
}
elem = Element{Tetrahedron{4}, Lagrange{1}, S_THM}(
UInt(1),
(T=(1,2,3,4), p=(5,6,7,8), u=(9,10,11,12,13,14,15,16,17,18,19,20))
)
element_dofs(elem, :T) # (1, 2, 3, 4)
element_dofs(elem, :p) # (5, 6, 7, 8)
element_dofs(elem, :u) # (9, 10, ..., 20)
```
"""
@inline element_dofs(element, field_name::Symbol) = getfield(element.dof_indices, field_name)
"""
basis_type(element) → Type{<:AbstractBasis}
Extract basis type from element type parameters.
# Example
```julia
elem = Element{Tetrahedron{4}, Lagrange{1}, S}(...)
basis_type(elem) # Lagrange{1}
```
"""
@inline function basis_type(elem)
T = typeof(elem)
return T.parameters[2] # Second type parameter is basis
end
"""
dof_type(element) → Type{<:AbstractDOF}
Extract DOF specification type from element type parameters.
# Example
```julia
S = @DOFSet{u::DOF{Displacement{3}, Vertex}}
elem = Element{Tetrahedron{4}, Lagrange{1}, S}(...)
dof_type(elem) # Returns the S type (e.g., @NamedTuple{u::Tuple{Displacement{3},Vertex}})
```
"""
@inline function dof_type(elem)
T = typeof(elem)
return T.parameters[3] # Third type parameter is DOF spec
end