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#!/usr/bin/env python3
#
# Copyright (c) 2016 Aaron LI
# MIT license
#
# Extract R500 from the '*_INFO.json' file, and center coordinate from
# existing "sbprofile.reg", and then make the circle regions w.r.t R500
# in order to visualize the FoV coverage of the observations.
#
# Created: 2016-04-22
#
# Change log:
# 2016-04-27:
# * Do not import the unused "re" module
#
import sys
import glob
import os
import json
import csv
import argparse
from collections import OrderedDict
def extract_info(info):
"""
Extract the requested information (i.e., keywords) from the info
dictionary.
"""
# all the keys whose info to be extracted (and keep the order)
keys = OrderedDict([
("Name", "Source Name"),
("ObsID", ("Obs. ID", int)),
("Detector", "Detector"),
("Exposure_ks", ("Exposure (ks)", float)),
("Exposure_clean_ks", ("Clean Exposure (ks)", float)),
("redshift", ("redshift", float)),
("nH", None),
("Rmax_SBP_pix", ("Rmax_SBP (pixel)", float)),
("Rmax_SBP_kpc", ("Rmax_SBP (kpc)", float)),
("kpc_per_pix", None),
("R500_kpc", None),
("R500_pix", None),
("R500EL_kpc", None),
("R500EU_kpc", None),
("M500", None),
("M500EL", None),
("M500EU", None),
("L500", None),
("L500E", None),
("R200_kpc", None),
("R200_pix", None),
("R200EL_kpc", None),
("R200EU_kpc", None),
("M200", None),
("M200EL", None),
("M200EU", None),
("L200", None),
("L200E", None),
("Tavg_0.2-0.5R500", ("T(0.2-0.5 R500)", float)),
("TavgEL_0.2-0.5R500", ("T_err_l(0.2-0.5 R500)", float)),
("TavgEU_0.2-0.5R500", ("T_err_u(0.2-0.5 R500)", float)),
])
# keys corresponding to lwt's INFO
keys_lwt = {
"nH": ("nH (10^22 cm^-2)", float),
"R500_kpc": ("R500 (kpc)", float),
"R500EL_kpc": ("R500_err_lower (1sigma)", float),
"R500EU_kpc": ("R500_err_upper (1sigma)", float),
"M500": ("M500 (M_sun)", float),
"M500EL": ("M500_err_lower (1sigma)", float),
"M500EU": ("M500_err_upper (1sigma)", float),
"L500": ("L500 (erg/s)", float),
"L500E": ("L500_err (1sigma)", float),
"R200_kpc": ("R200 (kpc)", float),
"R200EL_kpc": ("R200_err_lower (1sigma)", float),
"R200EU_kpc": ("R200_err_upper (1sigma)", float),
"M200": ("M200 (M_sun)", float),
"M200EL": ("M200_err_lower (1sigma)", float),
"M200EU": ("M200_err_upper (1sigma)", float),
"L200": ("L200 (erg/s)", float),
"L200E": ("L200_err (1sigma)", float),
}
# keys corresponding to zzh's INFO
keys_zzh = {
"nH": ("nh", float),
"R500_kpc": ("R500", float),
"R500EL_kpc": ("R500_err_lower", float),
"R500EU_kpc": ("R500_err_upper", float),
"M500": ("M500 (solar mass)", float),
"M500EL": ("M500_err_lower (1 sigma)", float),
"M500EU": ("M500_err_upper (1 sigma)", float),
"L500": ("L500 (erg/s)", float),
"L500E": ("L500_err (1 sigma)", float),
"R200_kpc": ("R200", float),
"R200EL_kpc": ("R200_err_lower", float),
"R200EU_kpc": ("R200_err_upper", float),
"M200": ("M200", float),
"M200EL": ("M200_err_lower", float),
"M200EU": ("M200_err_upper", float),
"L200": ("L200", float),
"L200E": ("L200_err", float),
}
if "IN_SAMPLE" in info.keys():
# zzh's INFO
keys.update(keys_zzh)
else:
# lwt's INFO
keys.update(keys_lwt)
data = keys.copy()
for k, v in keys.items():
if v is None:
continue
elif isinstance(v, tuple):
t = v[1]
try:
data[k] = t(info[ v[0] ])
except (ValueError, TypeError):
data[k] = None
else:
data[k] = info[v]
data["kpc_per_pix"] = data["Rmax_SBP_kpc"] / data["Rmax_SBP_pix"]
data["R500_pix"] = data["R500_kpc"] / data["kpc_per_pix"]
data["R200_pix"] = data["R200_kpc"] / data["kpc_per_pix"]
return data
def main():
parser = argparse.ArgumentParser(description="Extract data from INFO.json")
parser.add_argument("-j", "--json", dest="json", required=False,
help="the *_INFO.json file (default: find *_INFO.json)")
parser.add_argument("path", nargs="?", default=".",
help="path to the directory contains the INFO.json")
args = parser.parse_args()
# path to the directory contains INFO.json
if args.path == ".":
path = os.getcwd()
else:
path = args.path
os.chdir(path)
# default "*_INFO.json"
info_json = glob.glob("*_INFO.json")[0]
if args.json:
info_json = args.json
json_str = open(info_json).read().rstrip().rstrip(",")
info = json.loads(json_str)
data = extract_info(info)
data["PATH"] = path
#print(data, file=sys.stderr)
# output results
csv_writer = csv.writer(sys.stdout)
csv_writer.writerow(data.keys())
csv_writer.writerow(data.values())
if __name__ == "__main__":
main()
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