Templated Features

The catalogue of templated features shipped with kibo-template-viper — what each one does, in C++ and in Python. Use this page to pick the features you need; pass each to Kibo via the -t flag (see the Kibo usage guide).

C++ Templates

Templates in templates/cpp/ are organised by theme:

Core Types

Feature	Purpose
Data	Type implementations for enum, struct, concept, club
Model	Definitions, paths, fields

Persistence

Feature	Purpose
Attachments	Attachment accessors
Database	SQLite persistence layer

Serialization

Feature	Purpose
Stream	Binary encoder / decoder
Json	JSON encoder / decoder
ValueCodec	Bridge between static C++ and dynamic Viper C++ values
ValueHasher	Content hashing for values
ValueType	Viper C++ type mappings

Function Pools

Feature	Purpose
FunctionPool	Pure function bindings
FunctionPoolRemote	Remote function call API
AttachmentFunctionPool	Stateful function bindings
AttachmentFunctionPoolRemote	Remote stateful calls
AttachmentFunctionPool_Attachments	Pool exposing attachment API

Python Integration (C++ side)

Feature	Purpose
Python	Python module constants for types and paths

Testing

Feature	Purpose
Test	Unit tests for fuzzing, JSON, streaming, storing — including the seedable fuzz harness
TestApp	Test application entry points (each accepts --seed for reproducible fuzz runs)

Python Templates

Templates in templates/python/package/. All Python features are emitted as a single Python package — typed proxy classes (with type hints) that delegate to the dsviper runtime. No C bindings, no extension module: pure Python on top of dsviper’s dynamic API.

Feature	Purpose
package/__init__.py	Package initialization
package/definitions	Type definitions for Viper C++
package/data	Classes for concepts, clubs, enums, structures
package/attachments	Typed attachment proxies (over dsviper)
package/database_attachments	Typed database-attachment proxies
package/path	Field path constants
package/value_type	Dynamic type definitions
package/function_pools	Typed function-pool proxies
package/attachment_function_pools	Typed stateful-pool proxies
package/function_pool_remotes	Typed remote-call proxies
package/attachment_function_pool_remotes	Typed remote stateful-call proxies
wheel/pyproject.toml	Minimal pyproject.toml to build a wheel

Picking a feature set

You don’t need every feature. Common selections by use case:

# Minimal — types only
templates = ['Data']

# Persistence (typed data on disk)
templates = ['Model', 'Data', 'Attachments', 'Database']

# Full stack — types + persistence + serialization + RPC
templates = [
    'Model', 'Data',
    'Stream', 'Json',
    'Attachments', 'Database',
    'ValueType', 'ValueCodec', 'ValueHasher',
    'FunctionPool', 'AttachmentFunctionPool',
]

# With testing
templates += ['Test', 'TestApp']

For invocation patterns, see Kibo usage.