PypdfExtractor

Extractor

DashAI.back.models.RAG.extractors.PypdfExtractor

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PDF text extractor using the pypdf library.

Parameters

strict : boolean, default=True

If True, raises errors on malformed PDFs. If False, tries to recover.

Methods

extract(self, file_path: str) -> str

Defined on PypdfExtractor

Extract text from the given file.

get_credential(self, name: str)

Defined on ConfigObject

Resolve a registered credential component by name.

Parameters

name : str

Credential component class name (e.g. "HuggingFaceCredential").

Returns

BaseCredential

An instance of the requested credential component.

get_metadata(cls) -> Dict[str, object]

Defined on BaseExtractor

Return metadata for registry — primarily supported_file_types.

get_schema(cls) -> dict

Defined on ConfigObject

Generates the component related Json Schema.

Returns

dict

Dictionary representing the Json Schema of the component.

validate_and_transform(self, raw_data: dict) -> dict

Defined on ConfigObject

It takes the data given by the user to initialize the model and returns it with all the objects that the model needs to work.

Parameters

raw_data : dict

A dictionary with the data provided by the user to initialize the model.

Returns

dict

A validated dictionary with the necessary objects.