Manifest Checks: Models

Note

The below checks require manifest.json to be present.

Classes:

Name	Description
CheckModelAccess	Models must have the specified access attribute. Requires dbt 1.7+.
CheckModelCodeDoesNotContainRegexpPattern	The raw code for a model must not match the specified regexp pattern.
CheckModelContractsEnforcedForPublicModel	Public models must have contracts enforced.
CheckModelDependsOnMultipleSources	Models cannot reference more than one source.
CheckModelDescriptionPopulated	Models must have a populated description.
CheckModelDirectories	Only specified sub-directories are permitted.
CheckModelDocumentedInSameDirectory	Models must be documented in the same directory where they are defined (i.e. .yml and .sql files are in the same directory).
CheckModelHasContractsEnforced	Model must have contracts enforced.
CheckModelHasMetaKeys	The meta config for models must have the specified keys.
CheckModelHasNoUpstreamDependencies	Identify if models have no upstream dependencies as this likely indicates hard-coded tables references.
CheckModelHasTags	Models must have the specified tags.
CheckModelHasUniqueTest	Models must have a test for uniqueness of a column.
CheckModelHasUnitTests	Models must have more than the specified number of unit tests.
CheckModelMaxChainedViews	Models cannot have more than the specified number of upstream dependents that are not tables.
CheckModelMaxFanout	Models cannot have more than the specified number of downstream models.
CheckModelMaxNumberOfLines	Models may not have more than the specified number of lines.
CheckModelMaxUpstreamDependencies	Limit the number of upstream dependencies a model has.
CheckModelNames	Models must have a name that matches the supplied regex.
CheckModelPropertyFileLocation	Model properties files must follow the guidance provided by dbt here.
CheckModelsDocumentationCoverage	Set the minimum percentage of models that have a populated description.
CheckModelsTestCoverage	Set the minimum percentage of models that have at least one test.

CheckModelAccess

Models must have the specified access attribute. Requires dbt 1.7+.

Parameters:

Name	Type	Description	Default
access	Literal['private', 'protected', 'public']	The access level to check for.	required

Receives at execution time:

Name	Type	Description
model	DbtBouncerModelBase	The DbtBouncerModelBase object to check.

Other Parameters (passed via config file):

Name	Type	Description
exclude	Optional[str]	Regex pattern to match the model path. Model paths that match the pattern will not be checked.
include	Optional[str]	Regex pattern to match the model path. Only model paths that match the pattern will be checked.
severity	Optional[Literal['error', 'warn']]	Severity level of the check. Default: error.

Example(s):

manifest_checks:
    # Align with dbt best practices that marts should be `public`, everything else should be `protected`
    - name: check_model_access
      access: protected
      include: ^models/intermediate
    - name: check_model_access
      access: public
      include: ^models/marts
    - name: check_model_access
      access: protected
      include: ^models/staging

Source code in src/dbt_bouncer/checks/manifest/check_models.py

class CheckModelAccess(BaseCheck):
    """Models must have the specified access attribute. Requires dbt 1.7+.

    Parameters:
        access (Literal["private", "protected", "public"]): The access level to check for.

    Receives:
        model (DbtBouncerModelBase): The DbtBouncerModelBase object to check.

    Other Parameters:
        exclude (Optional[str]): Regex pattern to match the model path. Model paths that match the pattern will not be checked.
        include (Optional[str]): Regex pattern to match the model path. Only model paths that match the pattern will be checked.
        severity (Optional[Literal["error", "warn"]]): Severity level of the check. Default: `error`.

    Example(s):
        ```yaml
        manifest_checks:
            # Align with dbt best practices that marts should be `public`, everything else should be `protected`
            - name: check_model_access
              access: protected
              include: ^models/intermediate
            - name: check_model_access
              access: public
              include: ^models/marts
            - name: check_model_access
              access: protected
              include: ^models/staging
        ```

    """

    access: Literal["private", "protected", "public"]
    model: "DbtBouncerModelBase" = Field(default=None)
    name: Literal["check_model_access"]

    def execute(self) -> None:
        """Execute the check."""
        assert (
            self.model.access.value == self.access
        ), f"`{self.model.name}` has `{self.model.access.value}` access, it should have access `{self.access}`."

CheckModelCodeDoesNotContainRegexpPattern

The raw code for a model must not match the specified regexp pattern.

Parameters:

Name	Type	Description	Default
regexp_pattern	str	The regexp pattern that should not be matched by the model code.	required

Receives at execution time:

Name	Type	Description
model	DbtBouncerModelBase	The DbtBouncerModelBase object to check.

Other Parameters (passed via config file):

Name	Type	Description
exclude	Optional[str]	Regex pattern to match the model path. Model paths that match the pattern will not be checked.
include	Optional[str]	Regex pattern to match the model path. Only model paths that match the pattern will be checked.
severity	Optional[Literal['error', 'warn']]	Severity level of the check. Default: error.

Example(s):

manifest_checks:
    # Prefer `coalesce` over `ifnull`: https://docs.sqlfluff.com/en/stable/rules.html#sqlfluff.rules.sphinx.Rule_CV02
    - name: check_model_code_does_not_contain_regexp_pattern
      regexp_pattern: .*[i][f][n][u][l][l].*

Source code in src/dbt_bouncer/checks/manifest/check_models.py

class CheckModelCodeDoesNotContainRegexpPattern(BaseCheck):
    """The raw code for a model must not match the specified regexp pattern.

    Parameters:
        regexp_pattern (str): The regexp pattern that should not be matched by the model code.

    Receives:
        model (DbtBouncerModelBase): The DbtBouncerModelBase object to check.

    Other Parameters:
        exclude (Optional[str]): Regex pattern to match the model path. Model paths that match the pattern will not be checked.
        include (Optional[str]): Regex pattern to match the model path. Only model paths that match the pattern will be checked.
        severity (Optional[Literal["error", "warn"]]): Severity level of the check. Default: `error`.

    Example(s):
        ```yaml
        manifest_checks:
            # Prefer `coalesce` over `ifnull`: https://docs.sqlfluff.com/en/stable/rules.html#sqlfluff.rules.sphinx.Rule_CV02
            - name: check_model_code_does_not_contain_regexp_pattern
              regexp_pattern: .*[i][f][n][u][l][l].*
        ```

    """

    model: "DbtBouncerModelBase" = Field(default=None)
    name: Literal["check_model_code_does_not_contain_regexp_pattern"]
    regexp_pattern: str

    def execute(self) -> None:
        """Execute the check."""
        assert (
            re.compile(self.regexp_pattern.strip(), flags=re.DOTALL).match(
                self.model.raw_code
            )
            is None
        ), f"`{self.model.name}` contains a banned string: `{self.regexp_pattern.strip()}`."

CheckModelContractsEnforcedForPublicModel

Public models must have contracts enforced.

Receives at execution time:

Name	Type	Description
model	DbtBouncerModelBase	The DbtBouncerModelBase object to check.

Other Parameters (passed via config file):

Name	Type	Description
exclude	Optional[str]	Regex pattern to match the model path. Model paths that match the pattern will not be checked.
include	Optional[str]	Regex pattern to match the model path. Only model paths that match the pattern will be checked.
severity	Optional[Literal['error', 'warn']]	Severity level of the check. Default: error.

Example(s):

manifest_checks:
    - name: check_model_contract_enforced_for_public_model

Source code in src/dbt_bouncer/checks/manifest/check_models.py

class CheckModelContractsEnforcedForPublicModel(BaseCheck):
    """Public models must have contracts enforced.

    Receives:
        model (DbtBouncerModelBase): The DbtBouncerModelBase object to check.

    Other Parameters:
        exclude (Optional[str]): Regex pattern to match the model path. Model paths that match the pattern will not be checked.
        include (Optional[str]): Regex pattern to match the model path. Only model paths that match the pattern will be checked.
        severity (Optional[Literal["error", "warn"]]): Severity level of the check. Default: `error`.

    Example(s):
        ```yaml
        manifest_checks:
            - name: check_model_contract_enforced_for_public_model
        ```

    """

    model: "DbtBouncerModelBase" = Field(default=None)
    name: Literal["check_model_contract_enforced_for_public_model"]

    def execute(self) -> None:
        """Execute the check."""
        if self.model.access.value == "public":
            assert (
                self.model.contract.enforced is True
            ), f"`{self.model.name}` is a public model but does not have contracts enforced."

CheckModelDependsOnMultipleSources

Models cannot reference more than one source.

Parameters:

Name	Type	Description	Default
model	DbtBouncerModelBase	The DbtBouncerModelBase object to check.	required

Other Parameters (passed via config file):

Name	Type	Description
exclude	Optional[str]	Regex pattern to match the model path. Model paths that match the pattern will not be checked.
include	Optional[str]	Regex pattern to match the model path. Only model paths that match the pattern will be checked.
severity	Optional[Literal['error', 'warn']]	Severity level of the check. Default: error.

Example(s):

manifest_checks:
    - name: check_model_depends_on_multiple_sources

Source code in src/dbt_bouncer/checks/manifest/check_models.py

class CheckModelDependsOnMultipleSources(BaseCheck):
    """Models cannot reference more than one source.

    Parameters:
        model (DbtBouncerModelBase): The DbtBouncerModelBase object to check.

    Other Parameters:
        exclude (Optional[str]): Regex pattern to match the model path. Model paths that match the pattern will not be checked.
        include (Optional[str]): Regex pattern to match the model path. Only model paths that match the pattern will be checked.
        severity (Optional[Literal["error", "warn"]]): Severity level of the check. Default: `error`.

    Example(s):
        ```yaml
        manifest_checks:
            - name: check_model_depends_on_multiple_sources
        ```

    """

    model: "DbtBouncerModelBase" = Field(default=None)
    name: Literal["check_model_depends_on_multiple_sources"]

    def execute(self) -> None:
        """Execute the check."""
        num_reffed_sources = sum(
            x.split(".")[0] == "source" for x in self.model.depends_on.nodes
        )
        assert (
            num_reffed_sources <= 1
        ), f"`{self.model.name}` references more than one source."

CheckModelDescriptionPopulated

Models must have a populated description.

Receives at execution time:

Name	Type	Description
model	DbtBouncerModelBase	The DbtBouncerModelBase object to check.

Other Parameters (passed via config file):

Name	Type	Description
exclude	Optional[str]	Regex pattern to match the model path. Model paths that match the pattern will not be checked.
include	Optional[str]	Regex pattern to match the model path. Only model paths that match the pattern will be checked.
severity	Optional[Literal['error', 'warn']]	Severity level of the check. Default: error.

Example(s):

manifest_checks:
    - name: check_model_description_populated

Source code in src/dbt_bouncer/checks/manifest/check_models.py

class CheckModelDescriptionPopulated(BaseCheck):
    """Models must have a populated description.

    Receives:
        model (DbtBouncerModelBase): The DbtBouncerModelBase object to check.

    Other Parameters:
        exclude (Optional[str]): Regex pattern to match the model path. Model paths that match the pattern will not be checked.
        include (Optional[str]): Regex pattern to match the model path. Only model paths that match the pattern will be checked.
        severity (Optional[Literal["error", "warn"]]): Severity level of the check. Default: `error`.

    Example(s):
        ```yaml
        manifest_checks:
            - name: check_model_description_populated
        ```

    """

    model: "DbtBouncerModelBase" = Field(default=None)
    name: Literal["check_model_description_populated"]

    def execute(self) -> None:
        """Execute the check."""
        assert (
            len(self.model.description.strip()) > 4
        ), f"`{self.model.name}` does not have a populated description."

CheckModelDirectories

Only specified sub-directories are permitted.

Parameters:

Name	Type	Description	Default
include	str	Regex pattern to the directory to check.	required
permitted_sub_directories	List[str]	List of permitted sub-directories.	required

Receives at execution time:

Name	Type	Description
model	DbtBouncerModelBase	The DbtBouncerModelBase object to check.

Example(s):

manifest_checks:
- name: check_model_directories
  include: models
  permitted_sub_directories:
    - intermediate
    - marts
    - staging

# Restrict sub-directories within `./models/staging`
- name: check_model_directories
  include: ^models/staging
  permitted_sub_directories:
    - crm
    - payments

Source code in src/dbt_bouncer/checks/manifest/check_models.py

class CheckModelDirectories(BaseCheck):
    """Only specified sub-directories are permitted.

    Parameters:
        include (str): Regex pattern to the directory to check.
        permitted_sub_directories (List[str]): List of permitted sub-directories.

    Receives:
        model (DbtBouncerModelBase): The DbtBouncerModelBase object to check.

    Example(s):
        ```yaml
        manifest_checks:
        - name: check_model_directories
          include: models
          permitted_sub_directories:
            - intermediate
            - marts
            - staging
        ```
        ```yaml
        # Restrict sub-directories within `./models/staging`
        - name: check_model_directories
          include: ^models/staging
          permitted_sub_directories:
            - crm
            - payments
        ```

    """

    include: str
    model: "DbtBouncerModelBase" = Field(default=None)
    name: Literal["check_model_directories"]
    permitted_sub_directories: List[str]

    def execute(self) -> None:
        """Execute the check."""
        matched_path = re.compile(self.include.strip()).match(
            clean_path_str(self.model.original_file_path)
        )
        path_after_match = clean_path_str(self.model.original_file_path)[
            matched_path.end() + 1 :
        ]

        assert (
            path_after_match.split("/")[0] in self.permitted_sub_directories
        ), f"`{self.model.name}` is located in `{self.model.original_file_path.split('/')[1]}`, this is not a valid sub-directory."

CheckModelDocumentedInSameDirectory

Models must be documented in the same directory where they are defined (i.e. .yml and .sql files are in the same directory).

Receives at execution time:

Name	Type	Description
model	DbtBouncerModelBase	The DbtBouncerModelBase object to check.

Other Parameters (passed via config file):

Name	Type	Description
exclude	Optional[str]	Regex pattern to match the model path. Model paths that match the pattern will not be checked.
include	Optional[str]	Regex pattern to match the model path. Only model paths that match the pattern will be checked.
severity	Optional[Literal['error', 'warn']]	Severity level of the check. Default: error.

Example(s):

manifest_checks:
    - name: check_model_documented_in_same_directory

Source code in src/dbt_bouncer/checks/manifest/check_models.py

class CheckModelDocumentedInSameDirectory(BaseCheck):
    """Models must be documented in the same directory where they are defined (i.e. `.yml` and `.sql` files are in the same directory).

    Receives:
        model (DbtBouncerModelBase): The DbtBouncerModelBase object to check.

    Other Parameters:
        exclude (Optional[str]): Regex pattern to match the model path. Model paths that match the pattern will not be checked.
        include (Optional[str]): Regex pattern to match the model path. Only model paths that match the pattern will be checked.
        severity (Optional[Literal["error", "warn"]]): Severity level of the check. Default: `error`.

    Example(s):
        ```yaml
        manifest_checks:
            - name: check_model_documented_in_same_directory
        ```

    """

    model: "DbtBouncerModelBase" = Field(default=None)
    name: Literal["check_model_documented_in_same_directory"]

    def execute(self) -> None:
        """Execute the check."""
        model_sql_dir = clean_path_str(self.model.original_file_path).split("/")[:-1]
        assert (  # noqa: PT018
            hasattr(self.model, "patch_path")
            and clean_path_str(self.model.patch_path) is not None
        ), f"`{self.model.name}` is not documented."

        model_doc_dir = clean_path_str(
            self.model.patch_path[
                clean_path_str(self.model.patch_path).find("models") :
            ]
        ).split("/")[:-1]

        assert (
            model_doc_dir == model_sql_dir
        ), f"`{self.model.name}` is documented in a different directory to the `.sql` file: `{'/'.join(model_doc_dir)}` vs `{'/'.join(model_sql_dir)}`."

CheckModelHasContractsEnforced

Model must have contracts enforced.

Receives at execution time:

Name	Type	Description
model	DbtBouncerModelBase	The DbtBouncerModelBase object to check.

Other Parameters (passed via config file):

Name	Type	Description
exclude	Optional[str]	Regex pattern to match the model path. Model paths that match the pattern will not be checked.
include	Optional[str]	Regex pattern to match the model path. Only model paths that match the pattern will be checked.
severity	Optional[Literal['error', 'warn']]	Severity level of the check. Default: error.

Example(s):

manifest_checks:
    - name: check_model_has_contracts_enforced
      include: ^models/marts

Source code in src/dbt_bouncer/checks/manifest/check_models.py

class CheckModelHasContractsEnforced(BaseCheck):
    """Model must have contracts enforced.

    Receives:
        model (DbtBouncerModelBase): The DbtBouncerModelBase object to check.

    Other Parameters:
        exclude (Optional[str]): Regex pattern to match the model path. Model paths that match the pattern will not be checked.
        include (Optional[str]): Regex pattern to match the model path. Only model paths that match the pattern will be checked.
        severity (Optional[Literal["error", "warn"]]): Severity level of the check. Default: `error`.

    Example(s):
        ```yaml
        manifest_checks:
            - name: check_model_has_contracts_enforced
              include: ^models/marts
        ```

    """

    model: "DbtBouncerModelBase" = Field(default=None)
    name: Literal["check_model_has_contracts_enforced"]

    def execute(self) -> None:
        """Execute the check."""
        assert (
            self.model.contract.enforced is True
        ), f"`{self.model.name}` does not have contracts enforced."

CheckModelHasMetaKeys

The meta config for models must have the specified keys.

Parameters:

Name	Type	Description	Default
keys	NestedDict	A list (that may contain sub-lists) of required keys.	required
model	DbtBouncerModelBase	The DbtBouncerModelBase object to check.	required

Other Parameters (passed via config file):

Name	Type	Description
exclude	Optional[str]	Regex pattern to match the model path. Model paths that match the pattern will not be checked.
include	Optional[str]	Regex pattern to match the model path. Only model paths that match the pattern will be checked.
severity	Optional[Literal['error', 'warn']]	Severity level of the check. Default: error.

Example(s):

manifest_checks:
    - name: check_model_has_meta_keys
      keys:
        - maturity
        - owner

Source code in src/dbt_bouncer/checks/manifest/check_models.py

class CheckModelHasMetaKeys(BaseCheck):
    """The `meta` config for models must have the specified keys.

    Parameters:
        keys (NestedDict): A list (that may contain sub-lists) of required keys.
        model (DbtBouncerModelBase): The DbtBouncerModelBase object to check.

    Other Parameters:
        exclude (Optional[str]): Regex pattern to match the model path. Model paths that match the pattern will not be checked.
        include (Optional[str]): Regex pattern to match the model path. Only model paths that match the pattern will be checked.
        severity (Optional[Literal["error", "warn"]]): Severity level of the check. Default: `error`.

    Example(s):
        ```yaml
        manifest_checks:
            - name: check_model_has_meta_keys
              keys:
                - maturity
                - owner
        ```

    """

    keys: NestedDict
    model: "DbtBouncerModelBase" = Field(default=None)
    name: Literal["check_model_has_meta_keys"]

    def execute(self) -> None:
        """Execute the check."""
        missing_keys = find_missing_meta_keys(
            meta_config=self.model.meta,
            required_keys=self.keys.model_dump(),
        )
        assert (
            missing_keys == []
        ), f"`{self.model.name}` is missing the following keys from the `meta` config: {[x.replace('>>', '') for x in missing_keys]}"

CheckModelHasNoUpstreamDependencies

Identify if models have no upstream dependencies as this likely indicates hard-coded tables references.

Receives at execution time:

Name	Type	Description
model	DbtBouncerModelBase	The DbtBouncerModelBase object to check.

Other Parameters (passed via config file):

Name	Type	Description
exclude	Optional[str]	Regex pattern to match the model path. Model paths that match the pattern will not be checked.
include	Optional[str]	Regex pattern to match the model path. Only model paths that match the pattern will be checked.
severity	Optional[Literal['error', 'warn']]	Severity level of the check. Default: error.

Example(s):

manifest_checks:
    - name: check_model_has_no_upstream_dependencies

Source code in src/dbt_bouncer/checks/manifest/check_models.py

class CheckModelHasNoUpstreamDependencies(BaseCheck):
    """Identify if models have no upstream dependencies as this likely indicates hard-coded tables references.

    Receives:
        model (DbtBouncerModelBase): The DbtBouncerModelBase object to check.

    Other Parameters:
        exclude (Optional[str]): Regex pattern to match the model path. Model paths that match the pattern will not be checked.
        include (Optional[str]): Regex pattern to match the model path. Only model paths that match the pattern will be checked.
        severity (Optional[Literal["error", "warn"]]): Severity level of the check. Default: `error`.

    Example(s):
        ```yaml
        manifest_checks:
            - name: check_model_has_no_upstream_dependencies
        ```

    """

    model: "DbtBouncerModelBase" = Field(default=None)
    name: Literal["check_model_has_no_upstream_dependencies"]

    def execute(self) -> None:
        """Execute the check."""
        assert (
            len(self.model.depends_on.nodes) > 0
        ), f"`{self.model.name}` has no upstream dependencies, this likely indicates hard-coded tables references."

CheckModelHasTags

Models must have the specified tags.

Parameters:

Name	Type	Description	Default
model	DbtBouncerModelBase	The DbtBouncerModelBase object to check.	required
tags	List[str]	List of tags to check for.	required

Other Parameters (passed via config file):

Name	Type	Description
exclude	Optional[str]	Regex pattern to match the model path. Model paths that match the pattern will not be checked.
include	Optional[str]	Regex pattern to match the model path. Only model paths that match the pattern will be checked.
severity	Optional[Literal['error', 'warn']]	Severity level of the check. Default: error.

Example(s):

manifest_checks:
    - name: check_model_has_tags
      tags:
        - tag_1
        - tag_2

Source code in src/dbt_bouncer/checks/manifest/check_models.py

class CheckModelHasTags(BaseCheck):
    """Models must have the specified tags.

    Parameters:
        model (DbtBouncerModelBase): The DbtBouncerModelBase object to check.
        tags (List[str]): List of tags to check for.

    Other Parameters:
        exclude (Optional[str]): Regex pattern to match the model path. Model paths that match the pattern will not be checked.
        include (Optional[str]): Regex pattern to match the model path. Only model paths that match the pattern will be checked.
        severity (Optional[Literal["error", "warn"]]): Severity level of the check. Default: `error`.

    Example(s):
        ```yaml
        manifest_checks:
            - name: check_model_has_tags
              tags:
                - tag_1
                - tag_2
        ```

    """

    model: "DbtBouncerModelBase" = Field(default=None)
    name: Literal["check_model_has_tags"]
    tags: List[str]

    def execute(self) -> None:
        """Execute the check."""
        missing_tags = [tag for tag in self.tags if tag not in self.model.tags]
        assert (
            not missing_tags
        ), f"`{self.model.name}` is missing required tags: {missing_tags}."

CheckModelHasUniqueTest

Models must have a test for uniqueness of a column.

Parameters:

Name	Type	Description	Default
accepted_uniqueness_tests	Optional[List[str]]	List of tests that are accepted as uniqueness tests.	required
model	DbtBouncerModelBase	The DbtBouncerModelBase object to check.	required
tests	List[DbtBouncerTestBase]	List of DbtBouncerTestBase objects parsed from manifest.json.	required

Other Parameters (passed via config file):

Name	Type	Description
exclude	Optional[str]	Regex pattern to match the model path. Model paths that match the pattern will not be checked.
include	Optional[str]	Regex pattern to match the model path. Only model paths that match the pattern will be checked.
severity	Optional[Literal['error', 'warn']]	Severity level of the check. Default: error.

Example(s):

manifest_checks:
    - name: check_model_has_unique_test
      include: ^models/marts

manifest_checks:
# Example of allowing a custom uniqueness test
    - name: check_model_has_unique_test
      accepted_uniqueness_tests:
        - expect_compound_columns_to_be_unique
        - my_custom_uniqueness_test
        - unique

Source code in src/dbt_bouncer/checks/manifest/check_models.py

class CheckModelHasUniqueTest(BaseCheck):
    """Models must have a test for uniqueness of a column.

    Parameters:
        accepted_uniqueness_tests (Optional[List[str]]): List of tests that are accepted as uniqueness tests.
        model (DbtBouncerModelBase): The DbtBouncerModelBase object to check.
        tests (List[DbtBouncerTestBase]): List of DbtBouncerTestBase objects parsed from `manifest.json`.

    Other Parameters:
        exclude (Optional[str]): Regex pattern to match the model path. Model paths that match the pattern will not be checked.
        include (Optional[str]): Regex pattern to match the model path. Only model paths that match the pattern will be checked.
        severity (Optional[Literal["error", "warn"]]): Severity level of the check. Default: `error`.

    Example(s):
        ```yaml
        manifest_checks:
            - name: check_model_has_unique_test
              include: ^models/marts
        ```
        ```yaml
        manifest_checks:
        # Example of allowing a custom uniqueness test
            - name: check_model_has_unique_test
              accepted_uniqueness_tests:
                - expect_compound_columns_to_be_unique
                - my_custom_uniqueness_test
                - unique
        ```

    """

    accepted_uniqueness_tests: Optional[List[str]] = Field(
        default=[
            "expect_compound_columns_to_be_unique",
            "dbt_utils.unique_combination_of_columns",
            "unique",
        ],
    )
    model: "DbtBouncerModelBase" = Field(default=None)
    name: Literal["check_model_has_unique_test"]
    tests: List["DbtBouncerTestBase"] = Field(default=[])

    def execute(self) -> None:
        """Execute the check."""
        num_unique_tests = sum(
            test.attached_node == self.model.unique_id
            and test.test_metadata.name in self.accepted_uniqueness_tests  # type: ignore[operator]
            for test in self.tests
            if hasattr(test, "test_metadata")
        )
        assert (
            num_unique_tests >= 1
        ), f"`{self.model.name}` does not have a test for uniqueness of a column."

CheckModelHasUnitTests

Models must have more than the specified number of unit tests.

Parameters:

Name	Type	Description	Default
min_number_of_unit_tests	Optional[int]	The minimum number of unit tests that a model must have.	required

Receives at execution time:

Name	Type	Description
manifest_obj	DbtBouncerManifest	The DbtBouncerManifest object parsed from manifest.json.
model	DbtBouncerModelBase	The DbtBouncerModelBase object to check.
unit_tests	List[UnitTests]	List of UnitTests objects parsed from manifest.json.

Other Parameters (passed via config file):

Name	Type	Description
exclude	Optional[str]	Regex pattern to match the model path. Model paths that match the pattern will not be checked.
include	Optional[str]	Regex pattern to match the model path. Only model paths that match the pattern will be checked.
severity	Optional[Literal['error', 'warn']]	Severity level of the check. Default: error.

Warning

This check is only supported for dbt 1.8.0 and above.

Example(s):

manifest_checks:
    - name: check_model_has_unit_tests
      include: ^models/marts

manifest_checks:
    - name: check_model_has_unit_tests
      min_number_of_unit_tests: 2

Source code in src/dbt_bouncer/checks/manifest/check_models.py

class CheckModelHasUnitTests(BaseCheck):
    """Models must have more than the specified number of unit tests.

    Parameters:
        min_number_of_unit_tests (Optional[int]): The minimum number of unit tests that a model must have.

    Receives:
        manifest_obj (DbtBouncerManifest): The DbtBouncerManifest object parsed from `manifest.json`.
        model (DbtBouncerModelBase): The DbtBouncerModelBase object to check.
        unit_tests (List[UnitTests]): List of UnitTests objects parsed from `manifest.json`.

    Other Parameters:
        exclude (Optional[str]): Regex pattern to match the model path. Model paths that match the pattern will not be checked.
        include (Optional[str]): Regex pattern to match the model path. Only model paths that match the pattern will be checked.
        severity (Optional[Literal["error", "warn"]]): Severity level of the check. Default: `error`.

    !!! warning

        This check is only supported for dbt 1.8.0 and above.

    Example(s):
        ```yaml
        manifest_checks:
            - name: check_model_has_unit_tests
              include: ^models/marts
        ```
        ```yaml
        manifest_checks:
            - name: check_model_has_unit_tests
              min_number_of_unit_tests: 2
        ```

    """

    manifest_obj: "DbtBouncerManifest" = Field(default=None)
    min_number_of_unit_tests: int = Field(default=1)
    model: "DbtBouncerModelBase" = Field(default=None)
    name: Literal["check_model_has_unit_tests"]
    unit_tests: List["UnitTests"] = Field(default=[])

    def execute(self) -> None:
        """Execute the check."""
        if get_package_version_number(
            self.manifest_obj.manifest.metadata.dbt_version
        ) >= get_package_version_number("1.8.0"):
            num_unit_tests = len(
                [
                    t.unique_id
                    for t in self.unit_tests
                    if t.depends_on.nodes[0] == self.model.unique_id
                ],
            )
            assert (
                num_unit_tests >= self.min_number_of_unit_tests
            ), f"`{self.model.name}` has {num_unit_tests} unit tests, this is less than the minimum of {self.min_number_of_unit_tests}."
        else:
            logging.warning(
                "The `check_model_has_unit_tests` check is only supported for dbt 1.8.0 and above.",
            )

CheckModelMaxChainedViews

Models cannot have more than the specified number of upstream dependents that are not tables.

Parameters:

Name	Type	Description	Default
materializations_to_include	Optional[List[str]]	List of materializations to include in the check.	required
max_chained_views	Optional[int]	The maximum number of upstream dependents that are not tables.	required

Receives at execution time:

Name	Type	Description
model	DbtBouncerModelBase	The DbtBouncerModelBase object to check.
models	List[DbtBouncerModelBase]	List of DbtBouncerModelBase objects parsed from manifest.json.

Other Parameters (passed via config file):

Name	Type	Description
exclude	Optional[str]	Regex pattern to match the model path. Model paths that match the pattern will not be checked.
include	Optional[str]	Regex pattern to match the model path. Only model paths that match the pattern will be checked.
severity	Optional[Literal['error', 'warn']]	Severity level of the check. Default: error.

Example(s):

manifest_checks:
    - name: check_model_max_chained_views

manifest_checks:
    - name: check_model_max_chained_views
      materializations_to_include:
        - ephemeral
        - my_custom_materialization
        - view
      max_chained_views: 5

Source code in src/dbt_bouncer/checks/manifest/check_models.py

class CheckModelMaxChainedViews(BaseCheck):
    """Models cannot have more than the specified number of upstream dependents that are not tables.

    Parameters:
        materializations_to_include (Optional[List[str]]): List of materializations to include in the check.
        max_chained_views (Optional[int]): The maximum number of upstream dependents that are not tables.

    Receives:
        model (DbtBouncerModelBase): The DbtBouncerModelBase object to check.
        models (List[DbtBouncerModelBase]): List of DbtBouncerModelBase objects parsed from `manifest.json`.

    Other Parameters:
        exclude (Optional[str]): Regex pattern to match the model path. Model paths that match the pattern will not be checked.
        include (Optional[str]): Regex pattern to match the model path. Only model paths that match the pattern will be checked.
        severity (Optional[Literal["error", "warn"]]): Severity level of the check. Default: `error`.

    Example(s):
        ```yaml
        manifest_checks:
            - name: check_model_max_chained_views
        ```
        ```yaml
        manifest_checks:
            - name: check_model_max_chained_views
              materializations_to_include:
                - ephemeral
                - my_custom_materialization
                - view
              max_chained_views: 5
        ```

    """

    manifest_obj: "DbtBouncerManifest" = Field(default=None)
    materializations_to_include: List[str] = Field(
        default=["ephemeral", "view"],
    )
    max_chained_views: int = Field(
        default=3,
    )
    model: "DbtBouncerModelBase" = Field(default=None)
    models: List["DbtBouncerModelBase"] = Field(default=[])
    name: Literal["check_model_max_chained_views"]

    def execute(self) -> None:
        """Execute the check."""

        def return_upstream_view_models(
            materializations,
            max_chained_views,
            models,
            model_unique_ids_to_check,
            package_name,
            depth=0,
        ):
            """Recursive function to return model unique_id's of upstream models that are views. Depth of recursion can be specified. If no models meet the criteria then an empty list is returned.

            Returns
            -
                List[str]: List of model unique_id's of upstream models that are views.

            """
            if depth == max_chained_views or model_unique_ids_to_check == []:
                return model_unique_ids_to_check

            relevant_upstream_models = []
            for model in model_unique_ids_to_check:
                upstream_nodes = list(
                    next(m2 for m2 in models if m2.unique_id == model).depends_on.nodes,
                )
                if upstream_nodes != []:
                    upstream_models = [
                        m
                        for m in upstream_nodes
                        if m.split(".")[0] == "model"
                        and m.split(".")[1] == package_name
                    ]
                    for i in upstream_models:
                        if (
                            next(
                                m for m in models if m.unique_id == i
                            ).config.materialized
                            in materializations
                        ):
                            relevant_upstream_models.append(i)

            depth += 1
            return return_upstream_view_models(
                materializations=materializations,
                max_chained_views=max_chained_views,
                models=models,
                model_unique_ids_to_check=relevant_upstream_models,
                package_name=package_name,
                depth=depth,
            )

        assert (
            len(
                return_upstream_view_models(
                    materializations=self.materializations_to_include,
                    max_chained_views=self.max_chained_views,
                    models=self.models,
                    model_unique_ids_to_check=[self.model.unique_id],
                    package_name=self.manifest_obj.manifest.metadata.project_name,
                ),
            )
            == 0
        ), f"`{self.model.name}` has more than {self.max_chained_views} upstream dependents that are not tables."

CheckModelMaxFanout

Models cannot have more than the specified number of downstream models.

Parameters:

Name	Type	Description	Default
max_downstream_models	Optional[int]	The maximum number of permitted downstream models.	required

Receives at execution time:

Name	Type	Description
model	DbtBouncerModelBase	The DbtBouncerModelBase object to check.
models	List[DbtBouncerModelBase]	List of DbtBouncerModelBase objects parsed from manifest.json.

Other Parameters (passed via config file):

Name	Type	Description
exclude	Optional[str]	Regex pattern to match the model path. Model paths that match the pattern will not be checked.
include	Optional[str]	Regex pattern to match the model path. Only model paths that match the pattern will be checked.
severity	Optional[Literal['error', 'warn']]	Severity level of the check. Default: error.

Example(s):

manifest_checks:
    - name: check_model_max_fanout
      max_downstream_models: 2

Source code in src/dbt_bouncer/checks/manifest/check_models.py

class CheckModelMaxFanout(BaseCheck):
    """Models cannot have more than the specified number of downstream models.

    Parameters:
        max_downstream_models (Optional[int]): The maximum number of permitted downstream models.

    Receives:
        model (DbtBouncerModelBase): The DbtBouncerModelBase object to check.
        models (List[DbtBouncerModelBase]): List of DbtBouncerModelBase objects parsed from `manifest.json`.

    Other Parameters:
        exclude (Optional[str]): Regex pattern to match the model path. Model paths that match the pattern will not be checked.
        include (Optional[str]): Regex pattern to match the model path. Only model paths that match the pattern will be checked.
        severity (Optional[Literal["error", "warn"]]): Severity level of the check. Default: `error`.

    Example(s):
        ```yaml
        manifest_checks:
            - name: check_model_max_fanout
              max_downstream_models: 2
        ```

    """

    max_downstream_models: int = Field(default=3)
    model: "DbtBouncerModelBase" = Field(default=None)
    models: List["DbtBouncerModelBase"] = Field(default=[])
    name: Literal["check_model_max_fanout"]

    def execute(self) -> None:
        """Execute the check."""
        num_downstream_models = sum(
            self.model.unique_id in m.depends_on.nodes for m in self.models
        )

        assert (
            num_downstream_models <= self.max_downstream_models
        ), f"`{self.model.name}` has {num_downstream_models} downstream models, which is more than the permitted maximum of {self.max_downstream_models}."

CheckModelMaxNumberOfLines

Models may not have more than the specified number of lines.

Parameters:

Name	Type	Description	Default
max_number_of_lines	int	The maximum number of permitted lines.	required
model	DbtBouncerModelBase	The DbtBouncerModelBase object to check.	required

Other Parameters (passed via config file):

Name	Type	Description
exclude	Optional[str]	Regex pattern to match the model path. Model paths that match the pattern will not be checked.
include	Optional[str]	Regex pattern to match the model path. Only model paths that match the pattern will be checked.
severity	Optional[Literal['error', 'warn']]	Severity level of the check. Default: error.

Example(s):

manifest_checks:
    - name: check_model_max_number_of_lines

manifest_checks:
    - name: check_model_max_number_of_lines
      max_number_of_lines: 150

Source code in src/dbt_bouncer/checks/manifest/check_models.py

class CheckModelMaxNumberOfLines(BaseCheck):
    """Models may not have more than the specified number of lines.

    Parameters:
        max_number_of_lines (int): The maximum number of permitted lines.

        model (DbtBouncerModelBase): The DbtBouncerModelBase object to check.

    Other Parameters:
        exclude (Optional[str]): Regex pattern to match the model path. Model paths that match the pattern will not be checked.
        include (Optional[str]): Regex pattern to match the model path. Only model paths that match the pattern will be checked.
        severity (Optional[Literal["error", "warn"]]): Severity level of the check. Default: `error`.

    Example(s):
        ```yaml
        manifest_checks:
            - name: check_model_max_number_of_lines
        ```
        ```yaml
        manifest_checks:
            - name: check_model_max_number_of_lines
              max_number_of_lines: 150
        ```

    """

    model: "DbtBouncerModelBase" = Field(default=None)
    name: Literal["check_model_max_number_of_lines"]
    max_number_of_lines: int = Field(default=100)

    def execute(self) -> None:
        """Execute the check."""
        actual_number_of_lines = self.model.raw_code.count("\n") + 1

        assert (
            actual_number_of_lines <= self.max_number_of_lines
        ), f"`{self.model.name}` has {actual_number_of_lines} lines, this is more than the maximum permitted number of lines ({self.max_number_of_lines})."

CheckModelMaxUpstreamDependencies

Limit the number of upstream dependencies a model has.

Parameters:

Name	Type	Description	Default
max_upstream_macros	Optional[int]	The maximum number of permitted upstream macros.	required
max_upstream_models	Optional[int]	The maximum number of permitted upstream models.	required
max_upstream_sources	Optional[int]	The maximum number of permitted upstream sources.	required

Receives at execution time:

Name	Type	Description
model	DbtBouncerModelBase	The DbtBouncerModelBase object to check.

Other Parameters (passed via config file):

Name	Type	Description
exclude	Optional[str]	Regex pattern to match the model path. Model paths that match the pattern will not be checked.
include	Optional[str]	Regex pattern to match the model path. Only model paths that match the pattern will be checked.
severity	Optional[Literal['error', 'warn']]	Severity level of the check. Default: error.

Example(s):

manifest_checks:
    - name: check_model_max_upstream_dependencies
      max_upstream_models: 3

Source code in src/dbt_bouncer/checks/manifest/check_models.py

class CheckModelMaxUpstreamDependencies(BaseCheck):
    """Limit the number of upstream dependencies a model has.

    Parameters:
        max_upstream_macros (Optional[int]): The maximum number of permitted upstream macros.
        max_upstream_models (Optional[int]): The maximum number of permitted upstream models.
        max_upstream_sources (Optional[int]): The maximum number of permitted upstream sources.

    Receives:
        model (DbtBouncerModelBase): The DbtBouncerModelBase object to check.

    Other Parameters:
        exclude (Optional[str]): Regex pattern to match the model path. Model paths that match the pattern will not be checked.
        include (Optional[str]): Regex pattern to match the model path. Only model paths that match the pattern will be checked.
        severity (Optional[Literal["error", "warn"]]): Severity level of the check. Default: `error`.

    Example(s):
        ```yaml
        manifest_checks:
            - name: check_model_max_upstream_dependencies
              max_upstream_models: 3
        ```

    """

    max_upstream_macros: int = Field(
        default=5,
    )
    max_upstream_models: int = Field(
        default=5,
    )
    max_upstream_sources: int = Field(
        default=1,
    )
    model: "DbtBouncerModelBase" = Field(default=None)
    name: Literal["check_model_max_upstream_dependencies"]

    def execute(self) -> None:
        """Execute the check."""
        num_upstream_macros = len(list(self.model.depends_on.macros))
        num_upstream_models = len(
            [m for m in self.model.depends_on.nodes if m.split(".")[0] == "model"],
        )
        num_upstream_sources = len(
            [m for m in self.model.depends_on.nodes if m.split(".")[0] == "source"],
        )

        assert (
            num_upstream_macros <= self.max_upstream_macros
        ), f"`{self.model.name}` has {num_upstream_macros} upstream macros, which is more than the permitted maximum of {self.max_upstream_macros}."
        assert (
            num_upstream_models <= self.max_upstream_models
        ), f"`{self.model.name}` has {num_upstream_models} upstream models, which is more than the permitted maximum of {self.max_upstream_models}."
        assert (
            num_upstream_sources <= self.max_upstream_sources
        ), f"`{self.model.name}` has {num_upstream_sources} upstream sources, which is more than the permitted maximum of {self.max_upstream_sources}."

CheckModelNames

Models must have a name that matches the supplied regex.

Parameters:

Name	Type	Description	Default
model_name_pattern	str	Regexp the model name must match.	required

Receives at execution time:

Name	Type	Description
model	DbtBouncerModelBase	The DbtBouncerModelBase object to check.

Other Parameters (passed via config file):

Name	Type	Description
exclude	Optional[str]	Regex pattern to match the model path. Model paths that match the pattern will not be checked.
include	Optional[str]	Regex pattern to match the model path. Only model paths that match the pattern will be checked.
severity	Optional[Literal['error', 'warn']]	Severity level of the check. Default: error.

Example(s):

manifest_checks:
    - name: check_model_names
      include: ^models/intermediate
      model_name_pattern: ^int_
    - name: check_model_names
      include: ^models/staging
      model_name_pattern: ^stg_

Source code in src/dbt_bouncer/checks/manifest/check_models.py

class CheckModelNames(BaseCheck):
    """Models must have a name that matches the supplied regex.

    Parameters:
        model_name_pattern (str): Regexp the model name must match.

    Receives:
        model (DbtBouncerModelBase): The DbtBouncerModelBase object to check.

    Other Parameters:
        exclude (Optional[str]): Regex pattern to match the model path. Model paths that match the pattern will not be checked.
        include (Optional[str]): Regex pattern to match the model path. Only model paths that match the pattern will be checked.
        severity (Optional[Literal["error", "warn"]]): Severity level of the check. Default: `error`.

    Example(s):
        ```yaml
        manifest_checks:
            - name: check_model_names
              include: ^models/intermediate
              model_name_pattern: ^int_
            - name: check_model_names
              include: ^models/staging
              model_name_pattern: ^stg_
        ```

    """

    model_config = ConfigDict(extra="forbid", protected_namespaces=())

    model: "DbtBouncerModelBase" = Field(default=None)
    name: Literal["check_model_names"]
    model_name_pattern: str

    def execute(self) -> None:
        """Execute the check."""
        assert (
            re.compile(self.model_name_pattern.strip()).match(self.model.name)
            is not None
        ), f"`{self.model.name}` does not match the supplied regex `{self.model_name_pattern.strip()})`."

CheckModelPropertyFileLocation

Model properties files must follow the guidance provided by dbt here.

Parameters:

Name	Type	Description	Default
model	DbtBouncerModelBase	The DbtBouncerModelBase object to check.	required

Other Parameters (passed via config file):

Name	Type	Description
exclude	Optional[str]	Regex pattern to match the model path. Model paths that match the pattern will not be checked.
include	Optional[str]	Regex pattern to match the model path. Only model paths that match the pattern will be checked.
severity	Optional[Literal['error', 'warn']]	Severity level of the check. Default: error.

Example(s):

manifest_checks:
    - name: check_model_property_file_location

Source code in src/dbt_bouncer/checks/manifest/check_models.py

class CheckModelPropertyFileLocation(BaseCheck):
    """Model properties files must follow the guidance provided by dbt [here](https://docs.getdbt.com/best-practices/how-we-structure/1-guide-overview).

    Parameters:
        model (DbtBouncerModelBase): The DbtBouncerModelBase object to check.

    Other Parameters:
        exclude (Optional[str]): Regex pattern to match the model path. Model paths that match the pattern will not be checked.
        include (Optional[str]): Regex pattern to match the model path. Only model paths that match the pattern will be checked.
        severity (Optional[Literal["error", "warn"]]): Severity level of the check. Default: `error`.

    Example(s):
        ```yaml
        manifest_checks:
            - name: check_model_property_file_location
        ```

    """

    model: "DbtBouncerModelBase" = Field(default=None)
    name: Literal["check_model_property_file_location"]

    def execute(self) -> None:
        """Execute the check."""
        assert (  # noqa: PT018
            hasattr(self.model, "patch_path")
            and clean_path_str(self.model.patch_path) is not None
        ), f"`{self.model.name}` is not documented."

        expected_substr = (
            "_".join(clean_path_str(self.model.original_file_path).split("/")[1:-1])
            .replace("staging", "stg")
            .replace("intermediate", "int")
            .replace("marts", "")
        )
        properties_yml_name = clean_path_str(self.model.patch_path).split("/")[-1]

        assert properties_yml_name.startswith(
            "_",
        ), f"The properties file for `{self.model.name}` (`{properties_yml_name}`) does not start with an underscore."
        assert (
            expected_substr in properties_yml_name
        ), f"The properties file for `{self.model.name}` (`{properties_yml_name}`) does not contain the expected substring (`{expected_substr}`)."
        assert properties_yml_name.endswith(
            "__models.yml",
        ), f"The properties file for `{self.model.name}` (`{properties_yml_name}`) does not end with `__models.yml`."

CheckModelsDocumentationCoverage

Set the minimum percentage of models that have a populated description.

Parameters:

Name	Type	Description	Default
min_model_documentation_coverage_pct	float	The minimum percentage of models that must have a populated description.	required

Receives at execution time:

Name	Type	Description
models	List[DbtBouncerModelBase]	List of DbtBouncerModelBase objects parsed from manifest.json.

Other Parameters (passed via config file):

Name	Type	Description
severity	Optional[Literal['error', 'warn']]	Severity level of the check. Default: error.

Example(s):

manifest_checks:
    - name: check_model_documentation_coverage
      min_model_documentation_coverage_pct: 90

Source code in src/dbt_bouncer/checks/manifest/check_models.py

class CheckModelsDocumentationCoverage(BaseModel):
    """Set the minimum percentage of models that have a populated description.

    Parameters:
        min_model_documentation_coverage_pct (float): The minimum percentage of models that must have a populated description.

    Receives:
        models (List[DbtBouncerModelBase]): List of DbtBouncerModelBase objects parsed from `manifest.json`.

    Other Parameters:
        severity (Optional[Literal["error", "warn"]]): Severity level of the check. Default: `error`.

    Example(s):
        ```yaml
        manifest_checks:
            - name: check_model_documentation_coverage
              min_model_documentation_coverage_pct: 90
        ```

    """

    model_config = ConfigDict(extra="forbid")

    index: Optional[int] = Field(
        default=None,
        description="Index to uniquely identify the check, calculated at runtime.",
    )
    min_model_documentation_coverage_pct: int = Field(
        default=100,
        ge=0,
        le=100,
    )
    models: List["DbtBouncerModelBase"] = Field(default=[])
    name: Literal["check_model_documentation_coverage"]
    severity: Optional[Literal["error", "warn"]] = Field(
        default="error",
        description="Severity of the check, one of 'error' or 'warn'.",
    )

    def execute(self) -> None:
        """Execute the check."""
        num_models = len(self.models)
        models_with_description = []
        for model in self.models:
            if len(model.description.strip()) > 4:
                models_with_description.append(model.unique_id)

        num_models_with_descriptions = len(models_with_description)
        model_description_coverage_pct = (
            num_models_with_descriptions / num_models
        ) * 100

        assert (
            model_description_coverage_pct >= self.min_model_documentation_coverage_pct
        ), f"Only {model_description_coverage_pct}% of models have a populated description, this is less than the permitted minimum of {self.min_model_documentation_coverage_pct}%."

CheckModelsTestCoverage

Set the minimum percentage of models that have at least one test.

Parameters:

Name	Type	Description	Default
min_model_test_coverage_pct	float	The minimum percentage of models that must have at least one test.	required
models	List[DbtBouncerModelBase]	List of DbtBouncerModelBase objects parsed from manifest.json.	required
tests	List[DbtBouncerTestBase]	List of DbtBouncerTestBase objects parsed from manifest.json.	required

Other Parameters (passed via config file):

Name	Type	Description
severity	Optional[Literal['error', 'warn']]	Severity level of the check. Default: error.

Example(s):

manifest_checks:
    - name: check_model_test_coverage
      min_model_test_coverage_pct: 90

Source code in src/dbt_bouncer/checks/manifest/check_models.py

class CheckModelsTestCoverage(BaseModel):
    """Set the minimum percentage of models that have at least one test.

    Parameters:
        min_model_test_coverage_pct (float): The minimum percentage of models that must have at least one test.
        models (List[DbtBouncerModelBase]): List of DbtBouncerModelBase objects parsed from `manifest.json`.
        tests (List[DbtBouncerTestBase]): List of DbtBouncerTestBase objects parsed from `manifest.json`.

    Other Parameters:
        severity (Optional[Literal["error", "warn"]]): Severity level of the check. Default: `error`.


    Example(s):
        ```yaml
        manifest_checks:
            - name: check_model_test_coverage
              min_model_test_coverage_pct: 90
        ```

    """

    model_config = ConfigDict(extra="forbid")

    index: Optional[int] = Field(
        default=None,
        description="Index to uniquely identify the check, calculated at runtime.",
    )
    name: Literal["check_model_test_coverage"]
    min_model_test_coverage_pct: float = Field(
        default=100,
        ge=0,
        le=100,
    )
    models: List["DbtBouncerModelBase"] = Field(default=[])
    severity: Optional[Literal["error", "warn"]] = Field(
        default="error",
        description="Severity of the check, one of 'error' or 'warn'.",
    )
    tests: List["DbtBouncerTestBase"] = Field(default=[])

    def execute(self) -> None:
        """Execute the check."""
        num_models = len(self.models)
        models_with_tests = []
        for model in self.models:
            for test in self.tests:
                if model.unique_id in test.depends_on.nodes:
                    models_with_tests.append(model.unique_id)
        num_models_with_tests = len(set(models_with_tests))
        model_test_coverage_pct = (num_models_with_tests / num_models) * 100

        assert (
            model_test_coverage_pct >= self.min_model_test_coverage_pct
        ), f"Only {model_test_coverage_pct}% of models have at least one test, this is less than the permitted minimum of {self.min_model_test_coverage_pct}%."