mario.parse_gloria#

mario.parse_gloria(path: str, table: str = 'SUT', valuation: str | int = 'basic', year: int | None = None, regions: str | list[str] | tuple[str, ...] | None = None, satellites: str | list[str] | tuple[str, ...] | None = 'all', dtype: str = 'float32', cache: bool | str | Path = False, model: str = 'Database', name: str | None = None, calc_all: bool = False, **kwargs) → object#

Parse a locally downloaded GLORIA release.

The current GLORIA backend targets the monetary multi-regional SUT bundles shipped as raw T, Y and V csv files together with the GLORIA ReadMe workbook. GLORIA IOT parsing is intentionally left for a later step.

Parameters:

  • path (str) – path to the GLORIA release root, to a Google Drive part_I economic-account folder, or directly to the GLORIA_MRIOs_* directory containing the raw csv files.

  • table (str, optional) – currently only SUT is supported.

  • valuation (str or int, optional) – one of basic, trade, transport, taxes or subsidies (or the corresponding markup number 1-5).

  • year (int, optional) – reference year when the selected folder contains more than one yearly GLORIA bundle.

  • regions (sequence of str, optional) – optional subset of GLORIA region acronyms to keep.

  • satellites (str or sequence of str, optional) – satellite filter. Use "all" for the full satellite account payload, pass one full label such as "Emissions | CO2", or one group name from the GLORIA ReadMe such as "Emissions".

  • dtype (str, optional) – numeric dtype used for dense GLORIA blocks. float32 is the default because GLORIA use matrices are large.

  • cache (bool or path-like, optional) – if True, cache the parsed result as parquet under the GLORIA root and reuse it on subsequent calls when the raw file signature matches. A custom directory can also be provided.

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