def _initial_recommendations(name,
parameters,
reftypes=None,
context=None,
ignore_cache=False,
observatory="jwst",
fast=False):
"""shared logic for getreferences() and getrecommendations()."""
if not fast:
log.verbose("=" * 120)
log.verbose(name + "() CRDS version: ", version_info())
log.verbose(name + "() server:", api.get_crds_server())
log.verbose(name + "() observatory:", observatory)
log.verbose(name + "() parameters:\n",
log.PP(parameters),
verbosity=65)
log.verbose(name + "() reftypes:", reftypes)
log.verbose(name + "() context:", repr(context))
log.verbose(name + "() ignore_cache:", ignore_cache)
for var in os.environ:
if var.upper().startswith("CRDS"):
log.verbose(var, "=", repr(os.environ[var]))
check_observatory(observatory)
check_parameters(parameters)
check_reftypes(reftypes)
check_context(context)
mode, final_context = get_processing_mode(observatory, context)
log.verbose("Final effective context is", repr(final_context))
if mode == "local":
log.verbose("Computing best references locally.")
bestrefs = local_bestrefs(parameters,
reftypes=reftypes,
context=final_context,
ignore_cache=ignore_cache)
else:
log.verbose("Computing best references remotely.")
bestrefs = api.get_best_references(final_context,
parameters,
reftypes=reftypes)
if not fast:
# nominally fast=True (this is skipped) in crds.bestrefs, used for HST and reprocessing
# because bestrefs sreprocessing determinations for two contexts which run on 100's of
# thousands of datasets and should only report bad files once and only when arising from
# the new vs. the old context.
update_config_info(observatory)
log.verbose(name + "() results:\n", log.PP(bestrefs), verbosity=65)
instrument = utils.header_to_instrument(parameters)
warn_bad_context(observatory, final_context, instrument)
warn_bad_references(observatory, bestrefs)
return final_context, bestrefs
def _initial_recommendations(
name, parameters, reftypes=None, context=None, ignore_cache=False, observatory="jwst", fast=False):
"""shared logic for getreferences() and getrecommendations()."""
if not fast:
log.verbose("="*120)
log.verbose(name + "() CRDS version: ", version_info())
log.verbose(name + "() server:", api.get_crds_server())
log.verbose(name + "() observatory:", observatory)
log.verbose(name + "() parameters:\n", log.PP(parameters), verbosity=65)
log.verbose(name + "() reftypes:", reftypes)
log.verbose(name + "() context:", repr(context))
log.verbose(name + "() ignore_cache:", ignore_cache)
# for var in os.environ:
# if var.upper().startswith("CRDS"):
# log.verbose(var, "=", repr(os.environ[var]))
log.verbose("CRDS_PATH =", os.environ.get("CRDS_PATH", "UNDEFINED"))
log.verbose("CRDS_SERVER_URL =", os.environ.get("CRDS_SERVER_URL", "UNDEFINED"))
check_observatory(observatory)
parameters = check_parameters(parameters)
check_reftypes(reftypes)
check_context(context)
mode, final_context = get_processing_mode(observatory, context)
log.verbose("Final effective context is", repr(final_context))
if mode == "local":
log.verbose("Computing best references locally.")
bestrefs = local_bestrefs(
parameters, reftypes=reftypes, context=final_context, ignore_cache=ignore_cache)
else:
log.verbose("Computing best references remotely.")
bestrefs = api.get_best_references(final_context, parameters, reftypes=reftypes)
if not fast:
# nominally fast=True (this is skipped) in crds.bestrefs, used for HST and reprocessing
# because bestrefs sreprocessing determinations for two contexts which run on 100's of
# thousands of datasets and should only report bad files once and only when arising from
# the new vs. the old context.
update_config_info(observatory)
log.verbose(name + "() results:\n", log.PP(bestrefs), verbosity=65)
instrument = utils.header_to_instrument(parameters)
warn_bad_context(observatory, final_context, instrument)
warn_bad_references(observatory, bestrefs)
return final_context, bestrefs