{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "HozF_O0VM6-B" }, "source": [ "This notebook is a brief guide of downloading DEIMOS raw (level 0) data in a given period. It requires PI credentials to access proprietary data. For more detail about PyKOA, please see:\n", "http://koa.ipac.caltech.edu/UserGuide/PyKOA/notebooks/PyKOA_DEIMOS_introduction.html" ] }, { "cell_type": "markdown", "metadata": { "id": "mmPy9VTCNrt-" }, "source": [ "First, we need to install the KOA python client PyKOA. This line can be removed if PyKOA is already installed." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "T3H-B5qiOHGo", "outputId": "fe4a3575-2115-45dd-cac9-4dcbf54a8db1" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Collecting pykoa\n", " Downloading pykoa-1.7.2-py3-none-any.whl (29 kB)\n", "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from pykoa) (2.31.0)\n", "Collecting xmltodict (from pykoa)\n", " Downloading xmltodict-0.13.0-py2.py3-none-any.whl (10.0 kB)\n", "Collecting bs4 (from pykoa)\n", " Downloading bs4-0.0.1.tar.gz (1.1 kB)\n", " Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n", "Requirement already satisfied: lxml in /usr/local/lib/python3.10/dist-packages (from pykoa) (4.9.3)\n", "Requirement already satisfied: beautifulsoup4 in /usr/local/lib/python3.10/dist-packages (from bs4->pykoa) (4.11.2)\n", "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->pykoa) (3.2.0)\n", "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->pykoa) (3.4)\n", "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->pykoa) (2.0.4)\n", "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->pykoa) (2023.7.22)\n", "Requirement already satisfied: soupsieve>1.2 in /usr/local/lib/python3.10/dist-packages (from beautifulsoup4->bs4->pykoa) (2.4.1)\n", "Building wheels for collected packages: bs4\n", " Building wheel for bs4 (setup.py) ... \u001b[?25l\u001b[?25hdone\n", " Created wheel for bs4: filename=bs4-0.0.1-py3-none-any.whl size=1256 sha256=8220859917d067d2c84b6a1c8bc755aa0abf53a683f0e223ebc9a970293bd3d6\n", " Stored in directory: /root/.cache/pip/wheels/25/42/45/b773edc52acb16cd2db4cf1a0b47117e2f69bb4eb300ed0e70\n", "Successfully built bs4\n", "Installing collected packages: xmltodict, bs4, pykoa\n", "Successfully installed bs4-0.0.1 pykoa-1.7.2 xmltodict-0.13.0\n" ] } ], "source": [ "!pip install pykoa" ] }, { "cell_type": "markdown", "metadata": { "id": "hhVJIWD0OKsS" }, "source": [ "The next steop is to import pre-requisite packages" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "id": "4G2fXjioOKBa" }, "outputs": [], "source": [ "import sys\n", "import io\n", "import os\n", "from pykoa.koa import Koa\n", "from astropy.table import Table,Column" ] }, { "cell_type": "markdown", "metadata": { "id": "9jJgI5RBOOOX" }, "source": [ "Then we need to assign directory that stores the query results:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "id": "OB_GgjpsOXVk" }, "outputs": [], "source": [ "try:\n", " os.mkdir('./output')\n", "except:\n", " print(\" Directory exists already\", flush=True)" ] }, { "cell_type": "markdown", "metadata": { "id": "Q3-Uu0RiOWm9" }, "source": [ "After that, we use a cookie for KOA log in. We can also spell out the credentials, but for security purpose, it is better to enter the userid and password interactively" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "olSx2E55OcgS", "outputId": "3aec5b39-d67f-485c-a511-b8ff3e66f526" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Userid: clee\n", "Password: ··········\n", "Successfully login as clee\n" ] } ], "source": [ "Koa.login ('./tapcookie.txt')\n", "#Koa.login ('./tapcookie.txt', userid='clee', password='salami')" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "VaeWQLWROveh", "outputId": "2256fda4-6b2e-40d4-9163-d2f0edafa93f" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "submitting request...\n", "Result downloaded to file [./output/deimos_daterange.tbl]\n", " koaid instrume targname ... semid propint\n", " ... \n", "---------------------- -------- --------- ... ---------- -------\n", "DE.20210702.08589.fits DEIMOS unknown ... 2021a_c244 18\n", "DE.20210702.09339.fits DEIMOS unknown ... 2021a_c244 18\n", "DE.20210702.09401.fits DEIMOS unknown ... 2021a_c244 18\n", "DE.20210702.09466.fits DEIMOS unknown ... 2021a_c244 18\n", "DE.20210702.09530.fits DEIMOS unknown ... 2021a_c244 18\n", "DE.20210702.09593.fits DEIMOS unknown ... 2021a_c244 18\n", "DE.20210702.09657.fits DEIMOS unknown ... 2021a_c244 18\n", "DE.20210702.09722.fits DEIMOS unknown ... 2021a_c244 18\n", "DE.20210702.10637.fits DEIMOS unknown ... 2021a_c244 18\n", "DE.20210702.10710.fits DEIMOS unknown ... 2021a_c244 18\n", " ... ... ... ... ... ...\n", "DE.20210702.23377.fits DEIMOS m1506 51c ... 2021a_c244 18\n", "DE.20210702.25263.fits DEIMOS m1506 51c ... 2021a_c244 18\n", "DE.20210702.27145.fits DEIMOS m1506 51c ... 2021a_c244 18\n", "DE.20210702.29150.fits DEIMOS m1506 51d ... 2021a_c244 18\n", "DE.20210702.29248.fits DEIMOS m1506 51d ... 2021a_c244 18\n", "DE.20210702.29370.fits DEIMOS m1506 51d ... 2021a_c244 18\n", "DE.20210702.29551.fits DEIMOS m1506 51d ... 2021a_c244 18\n", "DE.20210702.31433.fits DEIMOS m1506 51d ... 2021a_c244 18\n", "DE.20210702.33315.fits DEIMOS m1506 51d ... 2021a_c244 18\n", "DE.20210702.35198.fits DEIMOS m1506 51d ... 2021a_c244 18\n", "Length = 39 rows\n" ] } ], "source": [ "Koa.query_datetime ('deimos', \\\n", " '2021-07-02 00:00:00/2021-07-02 23:59:59', \\\n", " './output/deimos_daterange.tbl', overwrite=True, format='ipac', \\\n", " cookiepath='./tapcookie.txt')\n", "\n", "rec = Table.read ('./output/deimos_daterange.tbl',format='ipac')\n", "print (rec)\n" ] }, { "cell_type": "markdown", "metadata": { "id": "kBQdEWm9OdOs" }, "source": [ "We can then proceed to query DEIMOS data taken in a given period. Note the time period is specified in UT date. The output table will be saved in the designated directory and in IPAC table format." ] }, { "cell_type": "markdown", "metadata": { "id": "KV5BDsU4Osxd" }, "source": [ "Once we have the query result, we can download files to the designated directory, in this case to dnload_dir_deimos/. If the download function is called several times, it will check the designated directory and only download new files." ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "KxRXJeruPLET", "outputId": "b66d934c-867d-4302-8ca9-195409147574" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Start downloading 3 koaid data you requested;\n", "please check your outdir: dnload_dir_deimos for progress ....\n", "\n", "A total of 3 new lev0 FITS files downloaded.\n" ] } ], "source": [ "Koa.download ('./output/deimos_daterange.tbl',\n", " 'ipac', \\\n", " 'dnload_dir_deimos', \\\n", "# start_row=0, \\\n", "# end_row = 2, \\\n", " cookiepath='./tapcookie.txt')" ] } ], "metadata": { "colab": { "provenance": [] }, "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.3" } }, "nbformat": 4, "nbformat_minor": 0 }