# Copyright 2022 - 2025 The PyMC Labs Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Model configuration utilities."""
import warnings
from typing import Any
from pymc_marketing.deserialize import deserialize
from pymc_marketing.hsgp_kwargs import HSGPKwargs
from pymc_marketing.prior import Prior, VariableFactory
class ModelConfigError(Exception):
"""Exception raised for errors in model configuration."""
ModelConfig = dict[str, VariableFactory | HSGPKwargs | Prior | Any]
[docs]
def parse_model_config(
model_config: ModelConfig,
hsgp_kwargs_fields: list[str] | None = None,
non_distributions: list[str] | None = None,
) -> ModelConfig:
"""Parse the model config dictionary.
Parameters
----------
model_config : dict
The model configuration dictionary.
hsgp_kwargs_fields : list[str], optional
A list of keys to parse as HSGP kwargs.
non_distributions : list[str], optional
A list of keys to ignore when parsing the model configuration
dictionary due to them not being distributions.
Returns
-------
dict
The parsed model configuration dictionary.
Examples
--------
Parse all keys in model configuration but ignore the key "tvp_intercept".
.. code-block:: python
from pymc_marketing.hsgp_kwargs import HSGPKwargs
from pymc_marketing.model_config import parse_model_config
from pymc_marketing.prior import Prior
model_config = {
"alpha": {
"dist": "Normal",
"kwargs": {
"mu": 0,
"sigma": 1,
},
},
"beta": Prior("HalfNormal"),
"intercept_tvp_config": {
"m": 200,
"L": 119.17,
"eta_lam": 1.0,
"ls_mu": 5.0,
"ls_sigma": 10.0,
"cov_func": None,
},
"other_intercept": {
"key": "Some other non-distribution configuration",
},
}
parsed_model_config = parse_model_config(
model_config,
hsgp_kwargs_fields=["intercept_tvp_config"],
non_distributions=["other_intercept"],
)
# {'alpha': Prior("Normal", mu=0, sigma=1),
# 'beta': Prior("HalfNormal"),
# 'intercept_tvp_config': HSGPKwargs(m=200, L=119.17, eta_lam=1.0, ls_mu=5.0, ls_sigma=10.0, cov_func=None),
# 'other_intercept': {'key': 'Some other non-distribution configuration'}}
Parsing with an error:
.. code-block:: python
from pymc_marketing.model_config import (
parse_model_config,
ModelConfigError,
)
model_config = {
"alpha": {"key": "Non distribution"},
"beta": {"dist": "UnknownDistribution"},
"gamma": "Completely wrong",
}
try:
parse_model_config(model_config)
except ModelConfigError as e:
print(e)
"""
non_distributions = non_distributions or []
hsgp_kwargs_fields = hsgp_kwargs_fields or []
parse_errors = []
def handle_prior_config(name, prior_config):
if name in non_distributions or name in hsgp_kwargs_fields:
return prior_config
if isinstance(prior_config, Prior) or isinstance(prior_config, VariableFactory):
return prior_config
try:
dist = deserialize(prior_config)
except Exception as e:
parse_errors.append(f"Parameter {name}: {e}")
else:
msg = (
f"{name} is automatically converted to {dist}. "
"Use the Prior class to avoid this warning."
)
warnings.warn(msg, DeprecationWarning, stacklevel=2)
return dist
def handle_hggp_kwargs(name, config):
if name not in hsgp_kwargs_fields:
return config
if isinstance(config, HSGPKwargs):
return config
try:
hsgp_kwargs = HSGPKwargs.model_validate(config)
return hsgp_kwargs
except Exception as e:
parse_errors.append(f"Parameter {name}: {e}")
# Parse the model configuration to extrat the `Prior` objects.
result: ModelConfig = {
name: handle_prior_config(name, prior_config)
for name, prior_config in model_config.items()
}
# Parse the model configuration to extract the `HSGPKwargs` objects.
result = {name: handle_hggp_kwargs(name, config) for name, config in result.items()}
if parse_errors:
combined_errors = ", ".join(parse_errors)
msg = (
f"{len(parse_errors)} errors occurred while "
"parsing model configuration. "
f"Errors: {combined_errors}"
)
raise ModelConfigError(msg)
return result
