Model Blender

These functions serve as the primary interface for blending models.

jwst.model_blender.blendmeta Module

blendmeta - Merge metadata from multiple models.

This module will create a new metadata instance and table from a list of input datamodels or filenames.

Functions

`blendmodels`(product[, inputs, output, ...])	Run main interface for blending metadata from multiple models.
`build_tab_schema`(new_table)	Return new schema definition that describes the input table.
`cat_headers`(hdr1, hdr2)	Create new `astropy.io.fits.Header` object from concatenating 2 input Headers
`convert_dtype`(value)	Convert numarray column dtype into YAML-compatible format description
`extract_filenames_from_product`(product)	Returns the list of filenames with extensions of input observations that were used to generate the product.
`get_blended_metadata`(input_models[, verbose])	Return a blended metadata instance and table based on the input datamodels.

jwst.model_blender.blender Module

Functions

metablender(input_models, spec)

Given a list of datamodels, aggregate metadata attribute values and create a table made up of values from a number of metadata instances, according to the given specification.