nv_ingest_api.internal.extract.pptx package

Subpackages

• nv_ingest_api.internal.extract.pptx.engines package
  • Submodules
  • nv_ingest_api.internal.extract.pptx.engines.pptx_helper module
    • escape_text()
    • format_text()
    • get_bbox()
    • get_hyperlink()
    • is_accent()
    • is_list_block()
    • is_strong()
    • is_subtitle()
    • is_title()
    • is_underlined()
    • process_shape()
    • process_subtitle()
    • process_title()
    • python_pptx()
    • ungroup_shapes()
  • Module contents

Submodules

nv_ingest_api.internal.extract.pptx.pptx_extractor module

nv_ingest_api.internal.extract.pptx.pptx_extractor.extract_primitives_from_pptx_internal(

df_extraction_ledger: DataFrame,

task_config: Dict[str, Any] | BaseModel,

extraction_config: Any,

execution_trace_log: Dict[str, Any] | None = None,

) → DataFrame

Process a DataFrame containing base64-encoded PPTX files and extract primitive data.

This function applies a decoding and extraction routine to each row of the DataFrame (via _decode_and_extract_from_pptx), then explodes any list results into separate rows, drops missing values, and compiles the extracted data into a new DataFrame. The resulting DataFrame includes columns for document type, extracted metadata, and a unique identifier (UUID).

Parameters:

• df_extraction_ledger (pd.DataFrame) – Input DataFrame with PPTX files in base64 encoding. Expected to include columns ‘source_id’ and ‘content’.

• task_config (Union[Dict[str, Any], BaseModel]) – Configuration for the PPTX extraction task, as a dict or Pydantic model.

• extraction_config (Any) – Configuration object for PPTX extraction (e.g. PPTXExtractorSchema).

• execution_trace_log (Optional[Dict[str, Any]], optional) – Optional dictionary containing trace information for debugging.

Returns:

DataFrame with extracted PPTX content containing columns: “document_type”, “metadata”, and “uuid”.

Return type:

pd.DataFrame

Raises:

Exception – Reraises any exception encountered during extraction with additional context.

Module contents