{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b1679638",
   "metadata": {},
   "source": [
    "# Solar Dynamics Observatory\n",
    "\n",
    "Single timeseries of EUV data\n",
    "\n",
    "### CASE 1: one chunk per file, timeseries sorted into filter bands. Doesn't need FITS."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9bad6590",
   "metadata": {},
   "outputs": [],
   "source": [
    "import intake\n",
    "import hvplot.xarray"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "25b832d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "cat = intake.open_catalog(\"https://github.com/fsspec/kerchunk/raw/main/\"\n",
    "                          \"examples/intake_catalog.yml\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d9e804ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds = cat.SDO.to_dask()\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3111b1eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds.nbytes / 2**30  # GB"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e2b74ee",
   "metadata": {},
   "source": [
    "### What just happened?\n",
    "\n",
    "Let's look into the detail a little.\n",
    "\n",
    "First, where are the files we want:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8044b8e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import fsspec\n",
    "gcs = fsspec.filesystem(\"gcs\")\n",
    "gcs.ls(\"pangeo-data/SDO_AIA_Images/\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dc8fd986",
   "metadata": {},
   "outputs": [],
   "source": [
    "gcs.ls(\"pangeo-data/SDO_AIA_Images/094\")[:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe14433a",
   "metadata": {},
   "source": [
    "Now we create a \"reference\" filesystem:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3b62679a",
   "metadata": {},
   "outputs": [],
   "source": [
    "fs = fsspec.filesystem(\n",
    "    \"reference\",\n",
    "    fo=\"gcs://mdtemp/SDO_no_coords.json\",\n",
    "    remote_options={\"token\": \"anon\"},\n",
    "    remote_protocol=\"gcs\",\n",
    "    target_options={\"token\": \"anon\"}\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "19b1c9e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "fs.ls(\"\", False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ce63dfe6",
   "metadata": {},
   "outputs": [],
   "source": [
    "fs.ls(\"094\", False)[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9c9a510d",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(fs.cat(\"094/.zarray\").decode())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cf1110b1",
   "metadata": {},
   "outputs": [],
   "source": [
    "fs.references[\"094/0.0.0\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0bff3d30",
   "metadata": {},
   "source": [
    "### Viz\n",
    "\n",
    "So let's see it in action!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b796814e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "ds = ds.assign_coords(x=np.arange(4096), y=np.arange(4096))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1a826fb8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "ds[\"094\"].hvplot.image(\n",
    "    'x', 'y', colormap=\"fire\", xaxis=False, yaxis=False, \n",
    "    height=500, width=500, colorbar=False, clim=(0, 50)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "db43273d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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