jupyter lab minimally working with process_new
Jeff Moe
parent
4dc8564d2a
commit
f9d4ef808e
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@ -6,7 +6,6 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"#!/usr/bin/env python3\n",
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"import os\n",
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"import sys\n",
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"import glob\n",
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@ -101,11 +100,11 @@
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"metadata": {},
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"outputs": [],
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"source": [
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" conf_parser.add_argument(\"-c\",\n",
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" \"--conf_file\",\n",
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" help=\"Specify configuration file. If no file\" +\n",
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" \" is specified 'configuration.ini' is used.\",\n",
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" metavar=\"FILE\")"
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"# conf_parser.add_argument(\"-c\",\n",
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"# \"--conf_file\",\n",
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"# help=\"Specify configuration file. If no file\" +\n",
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"# \" is specified 'configuration.ini' is used.\",\n",
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"# metavar=\"FILE\")"
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]
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},
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{
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@ -114,13 +113,13 @@
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"metadata": {},
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"outputs": [],
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"source": [
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" conf_parser.add_argument(\"-d\",\n",
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" \"--directory\",\n",
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" help=\"Specify directory of observations. If no\" +\n",
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" \" directory is specified parent will be used.\",\n",
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" metavar=\"DIR\",\n",
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" dest=\"file_dir\",\n",
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" default=\".\")"
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"# conf_parser.add_argument(\"-d\",\n",
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"# \"--directory\",\n",
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"# help=\"Specify directory of observations. If no\" +\n",
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"# \" directory is specified parent will be used.\",\n",
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"# metavar=\"DIR\",\n",
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"# dest=\"file_dir\",\n",
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"# default=\".\")"
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]
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},
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{
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@ -148,7 +147,16 @@
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"metadata": {},
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"outputs": [],
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"source": [
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" conf_file=\"jupysat.ini\"\n",
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" file_dir = (\"data/obs/jupyter/\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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" conf_file=\"config_jupyter.ini\"\n",
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" result = cfg.read([conf_file])\n",
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" if not result:\n",
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" print(\"Could not read config file: %s\\nExiting...\" % conf_file)\n",
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@ -194,8 +202,8 @@
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" # Get files\n",
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"# fitsfnames = sorted(glob.glob(os.path.join(args.file_dir, \"2*.fits\")))\n",
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"# procfnames = sorted(glob.glob(os.path.join(args.file_dir, \"2*.fits.png\"))) \n",
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" fitsfnames = [\"jupysat.fits\"]\n",
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" procfnames = sorted(glob.glob(os.path.join(\"2*.fits.png\")))\n",
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" fitsfnames = sorted(glob.glob(os.path.join(file_dir, \"jupyter.fits\")))\n",
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" procfnames = sorted(glob.glob(os.path.join(file_dir, \"jupyter.fits.png\")))\n",
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" fnames = [fname for fname in fitsfnames if f\"{fname}.png\" not in procfnames]"
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]
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},
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@ -218,7 +226,7 @@
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"\n",
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" # Was this file already tried?\n",
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" if not os.path.exists(f\"{fname}.cat\"):\n",
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"\n",
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" print(\"fname === \", fname)\n",
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" # Generate star catalog\n",
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" pix_catalog = generate_star_catalog(fname)\n",
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"\n",
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@ -240,7 +248,7 @@
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" break\n",
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"\n",
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" # Generate star catalog\n",
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" if not os.path.exists(f\"{fname}.cat\"):\n",
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" if not os.path.exists(f\"{fname}.cat\"): \n",
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" pix_catalog = generate_star_catalog(fname)\n",
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"\n",
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" else:\n",
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@ -250,49 +258,21 @@
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" calibrate_from_reference(fname, calfname, pix_catalog)\n",
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"\n",
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" # Store calibration\n",
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" store_calibration(pix_catalog, f\"{fname}.cal\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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" store_calibration(pix_catalog, f\"{fname}.cal\")\n",
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"\n",
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" # Read Fourframe\n",
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" ff = FourFrame(fname)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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" ff = FourFrame(fname)\n",
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"\n",
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" # Stars available and used\n",
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" nused = np.sum(pix_catalog.flag == 1)\n",
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" nstars = pix_catalog.nstars"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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" nstars = pix_catalog.nstars\n",
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"\n",
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" # Write output\n",
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" screenoutput = \"%s %10.6f %10.6f %4d/%4d %5.1f %5.1f %6.2f +- %6.2f\" % (\n",
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" os.path.basename(ff.fname), ff.crval[0], ff.crval[1], nused, nstars,\n",
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" 3600.0 * ff.crres[0], 3600.0 * ff.crres[1], np.mean(\n",
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" ff.zavg), np.std(ff.zavg))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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" ff.zavg), np.std(ff.zavg))\n",
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"\n",
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" if is_calibrated(ff):\n",
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" color = \"green\"\n",
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"\n",
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