fix: regenerate schema

[wolfv]

I ran python conda_smithy/schema.py.

[wolfv]

@ytausch - let me know what's up here :) I think the changes got lost after the ruff PR, possibly?

[ytausch]

I am a bit confused how this will affect us. This change appeared because the corresponding Pydantic model field was renamed from timeoutInMinutes to timeout_in_minutes in the ruff PR, so that is right, @wolfv.

To not change our schema though, I set this alias here:

conda-smithy/conda_smithy/schema.py

Lines 111 to 115 in 0bf152c

	timeout_in_minutes: Optional[int] = Field(
	default=360,
	description="Timeout in minutes for the job",
	alias="timeoutInMinutes",
	)

However, because we save the default values with model_dump, which by default does not respect aliases this defaults yaml file now has a different field name.

This actually breaks the logic setting field defaults, I suppose:

conda-smithy/conda_smithy/configure_feedstock.py

Lines 2170 to 2205 in 0bf152c

	def _read_forge_config(forge_dir, forge_yml=None):
	# Load default values from the conda-forge.yml file
	with open(CONDA_FORGE_YAML_DEFAULTS_FILE) as fh:
	default_config = yaml.safe_load(fh.read())
	if forge_yml is None:
	forge_yml = os.path.join(forge_dir, "conda-forge.yml")
	if not os.path.exists(forge_yml):
	raise RuntimeError(
	f"Could not find config file {forge_yml}."
	" Either you are not rerendering inside the feedstock root (likely)"
	" or there's no `conda-forge.yml` in the feedstock root (unlikely)."
	" Add an empty `conda-forge.yml` file in"
	" feedstock root if it's the latter."
	)
	with open(forge_yml) as fh:
	documents = list(yaml.safe_load_all(fh))
	file_config = (documents or [None])[0] or {}
	# Validate loaded configuration against a JSON schema.
	validate_lints, validate_hints = validate_json_schema(file_config)
	for err in chain(validate_lints, validate_hints):
	logger.warning(
	"%s: %s = %s -> %s",
	os.path.relpath(forge_yml, forge_dir),
	err.json_path,
	err.instance,
	err.message,
	)
	logger.debug("Relevant schema:\n%s", json.dumps(err.schema, indent=2))
	# The config is just the union of the defaults, and the overridden
	# values.
	config = _update_dict_within_dict(file_config.items(), default_config)

[ytausch]

I think merging this might have broken conda-smithys default values. Another reason why using Pydantic as a pure JSON schema generator is not a good idea, xref #1920

[ytausch]

See the PR which is linked above.