"""
vp-nextfitruncard
Command line tool to produce the runcard for an iterated fit given the input fit.
The script:
- Takes the input fit as a required argument and loads its runcard
- Updates the description of the fit interactively
- Uses the input fit as the t0 set
- Modifies the random seeds to values between 0 and 2**32 - 1 (max size of unsigned long int)
- Updates the preprocessing exponents
- Writes the runcard for the iterated fit to the current working directory, unless a different path
is given as an argument
- Note that the runcard is written as long as it does not already exist in the path. This can be
overridden by using the --force flag
"""
import argparse
import os
import pathlib
import sys
import logging
import prompt_toolkit
from reportengine import colors
from reportengine.compat import yaml
from validphys.api import API
# arguments for np.clip to enforce integrability.
# key should be identical to runcard key, first inner dictionary can contain
# either smallx or largex, the innermost dictionaries must be valid arguments
# for np.clip, this means BOTH a_min and a_max must be specified (even if one
# is left as None, indicating it is unconstrained.)
PREPROCESSING_LIMS = {
"v": {"smallx": {"a_min": None, "a_max": 1.0}},
"v3": {"smallx": {"a_min": None, "a_max": 1.0}},
"v8": {"smallx": {"a_min": None, "a_max": 1.0}},
"t3": {"smallx": {"a_min": None, "a_max": 1.0}},
"t8": {"smallx": {"a_min": None, "a_max": 1.0}},
}
# Take command line arguments
[docs]def process_args():
parser = argparse.ArgumentParser(
description="Script to generate iterated fit runcard."
)
parser.add_argument("input_fit", help="Name of input fit.")
parser.add_argument(
"output_dir",
nargs="?",
default=os.getcwd(),
help="Directory to which the new runcard will be written. This must be a valid path. The default is the current working directory.",
)
parser.add_argument(
"-f",
"--force",
help="If the runcard for the iterated fit already exists in the path, overwrite it.",
action="store_true",
)
parser.add_argument(
"--no-preproc-lims",
action="store_true",
help=(
"Do not enforce any preprocessing constraints, which are chosen to "
"ensure integrability. By default the following constraints are "
f"used: {PREPROCESSING_LIMS}"
)
)
args = parser.parse_args()
return args
[docs]def interactive_description(original_description):
"""Set description of fit interactively. The description of the input fit is used as default."""
default = original_description
new_description = prompt_toolkit.prompt(
"Enter a description for the new fit, taking into account that it should state that this fit is an iteration: \n",
default=default,
)
if not new_description:
return default
return new_description
[docs]def main():
# Logger for writing to screen
log = logging.getLogger()
log.setLevel(logging.INFO)
log.addHandler(colors.ColorHandler())
args = process_args()
input_fit = args.input_fit
output_dir = args.output_dir
# Convert given output directory to path and check it exists
output_path = pathlib.Path(output_dir)
if not output_path.is_dir():
log.error("The specified output directory is not a valid path.")
sys.exit(1)
force = args.force
if force:
log.warning(
"--force set to True. If the runcard for the iterated fit already exists in path to be "
"written to, it will be overwritten."
)
output_fit = input_fit + "_iterated.yaml"
runcard_path_out = output_path / output_fit
# Check whether runcard with same name already exists in the path
if runcard_path_out.exists() and not force:
log.error(
"Destination path %s already exists. If you wish to "
"overwrite it, use the --force option.",
runcard_path_out.absolute(),
)
sys.exit(1)
# Update description of fit interactively
description = API.fit(fit=input_fit).as_input()["description"]
if not args.no_preproc_lims:
preproc_lims = PREPROCESSING_LIMS
log.info(
"The following constraints will be used for preprocessing ranges, \n%s",
yaml.dump(preproc_lims),
)
else:
# don't enforce any limits.
preproc_lims = None
updated_description = interactive_description(description)
iterated_runcard_yaml = API.iterated_runcard_yaml(
fit=input_fit,
_updated_description=updated_description,
_flmap_np_clip_arg=preproc_lims,
)
# Write new runcard to file
with open(runcard_path_out, "w") as outfile:
outfile.write(iterated_runcard_yaml)
log.info("Runcard for iterated fit written to %s.", runcard_path_out.absolute())
# Open new runcard with default editor, or if one is not set, with vi
EDITOR = os.environ.get("EDITOR") if os.environ.get("EDITOR") else "vi"
os.system(f"{EDITOR} {runcard_path_out}")
if __name__ == "__main__":
main()