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ManualInputUsaParser 

ManualInputUsaParser()

Main parser for the technology_data manual_input_usa.csv dataset.

Dispatches to version-specific parser implementations.

Methods:

  • get_supported_versions –

    Return a list of supported dataset versions.

  • parse –

    Parse the specified version of the technology_data manual_input_usa.csv dataset.

get_supported_versions 

get_supported_versions() -> list[str]

Return a list of supported dataset versions.

parse 

parse(version: str, input_path: Path, num_digits: int, archive_source: bool, filter_params: bool, export_schema: bool) -> None

Parse the specified version of the technology_data manual_input_usa.csv dataset.

This method selects the appropriate parser for the given version and delegates the parsing task to it.

Parameters:

  • version (str) –

    The version of the dataset to parse (e.g., 'v0.13.4').

  • input_path (Path) –

    Path to the raw input data file.

  • num_digits (int) –

    Number of significant digits to round the values, by default 4.

  • archive_source (bool) –

    If True, archives the source object on the Wayback Machine, by default False.

  • filter_params (bool) –

    If True, filters the parameters stored in the output, by default False.

  • export_schema (bool) –

    If True, exports the Pydantic schema for the data models, by default False.

Raises:

  • ValueError –

    If the specified version is not supported.

ManualInputUSAV0134Parser

Bases: ParserBase

Parser for v0.13.4 of the manual_input_usa.csv dataset.

Methods:

  • parse –

    Parse and process version 0.13.4 of the manual_input_usa.csv dataset.

parse 

parse(input_path: Path, num_digits: int, archive_source: bool, **kwargs: Any) -> None

Parse and process version 0.13.4 of the manual_input_usa.csv dataset.

This method reads the raw data from an Excel file, cleans and transforms it through a series of steps, and then builds a TechnologyCollection. The processed data is saved to JSON files.

Parameters:

  • input_path (Path) –

    Path to the raw input data file (Excel).

  • num_digits (int) –

    Number of significant digits to round numerical values.

  • archive_source (bool) –

    If True, archives the source object on the Wayback Machine.

  • **kwargs (bool, default: {} ) –

    export_schema : bool If True, exports the Pydantic schema for the data models.

Returns: