This release is a pre-release and may not be stable for production use.
tiferet-h5
HDF5 infrastructure extension for the Tiferet framework via PyTables.
tiferet-h5 mirrors the layered architecture of the Tiferet core — domain, interfaces, mappers, utils, repos — adapted to the hierarchical, columnar, and typed nature of HDF5 files. It introduces two mapper base classes that are the HDF5-native analogue of Tiferet's TransferObject: TableObject for row-oriented table storage and NodeObject for attribute-oriented node storage.
Requirements
- Python ≥ 3.10
tiferet >= 2.0.3, < 2.1tables >= 3.10.0(PyTables)
Installation
pip install tiferet-h5
Or in development mode from the repository root:
pip install -e .
Quick Start
This tutorial stores a simple feature catalog — groups with scalar metadata and child step tables — to demonstrate the full stack: domain objects, mapper classes, H5Client, and H5Repository.
1. Define Your Mappers
import tables
from typing import ClassVar, Dict, Any, List
from pydantic import Field, AliasChoices
from tiferet_h5 import TableObject, NodeObject
# ── Group-level metadata → node attributes ────────────────────────────────
# One instance per feature group, stored on the HDF5 group node.
class FeatureGroupObject(NodeObject):
name: str = Field(default='', description='Feature name.')
description: str = Field(
default='',
serialization_alias='desc',
validation_alias=AliasChoices('desc', 'description'),
description='Stored as "desc" in HDF5 to keep attribute keys short.',
)
_ROLES: ClassVar[Dict[str, Dict[str, Any]]] = {
'to_h5.attrs': {'by_alias': True, 'exclude_none': True},
}
# ── Child collection → table rows ─────────────────────────────────────────
# One row per step, stored in a table nested inside the feature group.
class FeatureStepObject(TableObject):
name: str = Field(default='', description='Step name.')
service_id: str = Field(
default='',
serialization_alias='svc',
validation_alias=AliasChoices('svc', 'service_id'),
description='Service ID; stored as "svc" column in HDF5.',
)
pass_on_error: bool = Field(
default=False,
serialization_alias='pass_err',
validation_alias=AliasChoices('pass_err', 'pass_on_error'),
)
_H5_TYPES: ClassVar[Dict[str, Any]] = {
'name': tables.StringCol(256),
'svc': tables.StringCol(256),
'pass_err': tables.BoolCol(),
}
2. Write to HDF5
from tiferet_h5 import H5Client
# HDF5 layout:
# /features/ ← group, attr: schema_ver
# calc/ ← group, attrs: name, desc
# steps ← table, cols: name, svc, pass_err
with H5Client('catalog.h5', mode='w') as h5:
# Catalog root
h5.create_group('/features')
h5.set_node_attr('/features', 'schema_ver', '1.0')
# Feature group
h5.create_group('/features/calc')
group = FeatureGroupObject(
name='Calculator Features',
description='Basic arithmetic operations',
)
for k, v in group.to_attrs().items():
h5.set_node_attr('/features/calc', k, v)
# Child steps table
t = h5.create_table(
'/features/calc/steps',
FeatureStepObject.get_description(),
title='Feature Steps',
)
FeatureStepObject(name='Add numbers', service_id='add_event').to_row(t)
FeatureStepObject(name='Validate', service_id='validate_event', pass_on_error=True).to_row(t)
t.flush()
3. Read Back
with H5Client('catalog.h5', mode='r') as h5:
schema_ver = h5.get_node_attr('/features', 'schema_ver')
print('Schema version:', schema_ver)
group = FeatureGroupObject.from_attrs(h5.get_node_attrs('/features/calc'))
print('Feature:', group.name, '—', group.description)
steps: List[FeatureStepObject] = [
FeatureStepObject.from_row(r)
for r in h5.read_rows('/features/calc/steps')
]
for s in steps:
print(f' step {s.name!r} service_id={s.service_id!r} pass_on_error={s.pass_on_error}')
Output:
Schema version: 1.0
Feature: Calculator Features — Basic arithmetic operations
step 'Add numbers' service_id='add_event' pass_on_error=False
step 'Validate' service_id='validate_event' pass_on_error=True
4. Use a Repository
TableRepository and NodeRepository (tiferet_h5.repos.core) remove the hand-rolled get_or_create_table()/to_attrs() orchestration a repository would otherwise write itself -- compose one of each with H5Repository for the group's own metadata and its child table respectively:
from tiferet_h5 import H5Repository, NodeRepository, TableRepository
class FeatureMetaRepository(NodeRepository, H5Repository):
node_cls = FeatureGroupObject
node_path = '/features/{key}'
class FeatureStepsRepository(TableRepository, H5Repository):
table_cls = FeatureStepObject
table_path = '/features/{key}/steps'
meta_repo = FeatureMetaRepository('catalog.h5')
steps_repo = FeatureStepsRepository('catalog.h5')
# Write
meta_repo.save(FeatureGroupObject(name='Calculator', description='Arithmetic ops'), key='calc')
steps_repo.save(FeatureStepObject(name='Add numbers', service_id='add_event'), key='calc')
# Read
group = meta_repo.get(key='calc')
steps = steps_repo.list(key='calc')
table_path/node_path are str.format() templates -- any **kwargs passed to a method (here, key='calc') interpolate into the path, so one repository instance serves every feature group in the file. See docs/guides/repos.md for the full method reference, the repository-level compression default, and why TableRepository/NodeRepository should never be multiply inherited into a single class.
Package Layout
tiferet_h5/
├── __init__.py Public exports and aliases
├── domain/
│ └── h5.py H5Column, H5TableSchema, H5Node
├── interfaces/
│ └── h5.py H5Service abstract interface
├── mappers/
│ └── settings.py TableObject, NodeObject base classes
├── utils/
│ └── h5.py H5Client (alias: H5); also hosts H5 error code string constants
└── repos/
├── core.py TableRepository, NodeRepository CRUD mixins
└── h5.py H5Repository base
Documentation
- Domain Objects —
H5Column,H5TableSchema,H5Node - Mappers —
TableObject,NodeObject, aliasing, nested modeling - H5Client — full method reference and error codes
- Repos —
H5Repository,TableRepository,NodeRepositoryCRUD mixins
License
MIT
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