skd-info

To extract datasets and fields from a 1C SKD Template.xml, parse the data composition schema to map data sources, fields, parameters, and report variants. This robustly handles unions and nested items across single or multi-dataset configurations.

Understanding a 1C data composition schema without reading complex XML involves generating a concise structural map of datasets and fields. This quickly clarifies available data sources and report variants for analysts and developers.

Yes, you can analyze 1C SKD schemas containing unions and nested items. The parsing mechanism robustly processes these complex structures, supporting both single and multi-dataset configurations to summarize all available fields.

Parsing 1C Template.xml requires the lxml Python dependency. This library facilitates the robust extraction of datasets, fields, parameters, and variants from the data composition schema structure.

Validating data mappings and schema coverage for 1C reports requires summarizing the data composition schema. By extracting datasets and fields from Template.xml, you can verify source availability and plan data extraction accurately.