megaradrp.core — Base classes for processing

class megaradrp.core.recipe.MegaraBaseRecipe(*args, **kwargs)

Base class for all MEGARA Recipes

Attributes:

obresultObservationResult, requirement

logger

recipe logger

datamodelMegaraDataModel

class MegaraBaseRecipeInput(*args, **kwds)

MegaraBaseRecipeInput documentation.

Attributes:

obresultObservationResultType, requirement

Observation Result

attrs()

obresult

The Recipe requires the result of an observation.

classmethod stored()

classmethod tag_names()

validate()

Validate myself.

RecipeInput

alias of MegaraBaseRecipeInput

class RecipeResult(*args, **kwds)

add_computation_time(img, time1, time2)

attrs()

store_to(where)

classmethod stored()

classmethod tag_names()

time_it(time1, time2)

validate()

Validate myself.

build_recipe_input(ob, dal)

Build a RecipeInput object.

configure(**kwds)

static create_default_runinfo()

classmethod create_input(*args, **kwds)

Pass the result arguments to the RecipeInput constructor

classmethod create_result(*args, **kwds)

Pass the result arguments to the RecipeResult constructor

datamodel = <megaradrp.datamodel.MegaraDataModel object>

extract_tags_from_obsres(obsres, tag_keys)

extract_tags_from_ref(ref, tag_keys, base=None)

gather_info(recipeinput)

get_filters(imgtypes, getters)

init_filters(rinput, ins)

init_filters_generic(rinput, getters_seq, ins)

logger = <Logger numina.recipes.megara (WARNING)>

classmethod products()

classmethod requirements()

run(recipe_input)

run_qc(recipe_input, recipe_result)

Run Quality Control checks.

save_intermediate_array(array, name)

Save intermediate array object as FITS.

save_intermediate_img(img, name)

Save intermediate FITS objects.

save_structured_as_json(structured, name)

set_base_headers(hdr)

Set metadata in FITS headers.

classmethod tag_names()

types_getter()

validate_input(recipe_input)

“Validate the input of the recipe

validate_result(recipe_result)

Validate the result of the recipe