Class swarmauri_tool_jupyterexportlatex.JupyterExportLatexTool.JupyterExportLatexTool
swarmauri_tool_jupyterexportlatex.JupyterExportLatexTool.JupyterExportLatexTool
Bases: ToolBase
JupyterExportLatexTool is responsible for converting a Jupyter Notebook (NotebookNode) into a LaTeX document. It supports using a custom LaTeX template, can log and handle conversion errors, and optionally convert the generated LaTeX to PDF. Attributes: version (str): The version of the JupyterExportLatexTool. parameters (List[Parameter]): A list of parameters required to perform the export. name (str): The name of the tool. description (str): A brief description of the tool's functionality. type (Literal["JupyterExportLatexTool"]): The type identifier for the tool.
model_config
class-attribute
instance-attribute
model_config = {'arbitrary_types_allowed': True}
version
class-attribute
instance-attribute
version = '0.1.0'
NotebookNode
class-attribute
NotebookNode
parameters
class-attribute
instance-attribute
parameters = Field(
default_factory=lambda: [
Parameter(
name="notebook_node",
input_type="object",
description="A nbformat.NotebookNode object representing a Jupyter notebook.",
required=True,
),
Parameter(
name="use_custom_template",
input_type="boolean",
description="Whether or not to use a custom LaTeX template.",
required=False,
),
Parameter(
name="template_path",
input_type="string",
description="Path to a custom LaTeX template if use_custom_template is True.",
required=False,
),
Parameter(
name="to_pdf",
input_type="boolean",
description="If True, also convert the LaTeX output to PDF.",
required=False,
),
]
)
name
class-attribute
instance-attribute
name = 'JupyterExportLatexTool'
description
class-attribute
instance-attribute
description = "Converts Jupyter notebooks to LaTeX and optionally to PDF for academic publication."
type
class-attribute
instance-attribute
type = 'JupyterExportLatexTool'
id
class-attribute
instance-attribute
id = Field(default_factory=generate_id)
members
class-attribute
instance-attribute
members = None
owners
class-attribute
instance-attribute
owners = None
host
class-attribute
instance-attribute
host = None
default_logger
class-attribute
default_logger = None
logger
class-attribute
instance-attribute
logger = None
register_model
classmethod
register_model()
Decorator to register a base model in the unified registry.
RETURNS | DESCRIPTION |
---|---|
Callable
|
A decorator function that registers the model class.
TYPE:
|
Source code in swarmauri_base/DynamicBase.py
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|
register_type
classmethod
register_type(resource_type=None, type_name=None)
Decorator to register a subtype under one or more base models in the unified registry.
PARAMETER | DESCRIPTION |
---|---|
resource_type
|
The base model(s) under which to register the subtype. If None, all direct base classes (except DynamicBase) are used.
TYPE:
|
type_name
|
An optional custom type name for the subtype.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
Callable
|
A decorator function that registers the subtype.
TYPE:
|
Source code in swarmauri_base/DynamicBase.py
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|
model_validate_toml
classmethod
model_validate_toml(toml_data)
Validate a model from a TOML string.
Source code in swarmauri_base/TomlMixin.py
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|
model_dump_toml
model_dump_toml(
fields_to_exclude=None, api_key_placeholder=None
)
Return a TOML representation of the model.
Source code in swarmauri_base/TomlMixin.py
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|
model_validate_yaml
classmethod
model_validate_yaml(yaml_data)
Validate a model from a YAML string.
Source code in swarmauri_base/YamlMixin.py
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|
model_dump_yaml
model_dump_yaml(
fields_to_exclude=None, api_key_placeholder=None
)
Return a YAML representation of the model.
Source code in swarmauri_base/YamlMixin.py
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|
model_post_init
model_post_init(logger=None)
Assign a logger instance after model initialization.
Source code in swarmauri_base/LoggerMixin.py
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|
call
call(*args, **kwargs)
File: ToolBase.py Class: ToolBase Method: call
Alias for call to conform to ITool interface.
Source code in swarmauri_base/tools/ToolBase.py
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|
batch
batch(inputs, *args, **kwargs)
File: ToolBase.py Class: ToolBase Method: batch
Default batch implementation: calls call on each item in inputs
.
Subclasses can override for optimized bulk behavior.
Source code in swarmauri_base/tools/ToolBase.py
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|