{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Make Network File\n",
    "\n",
    "In this notebook, we compile the seismic network metadata that will be used recurrently through the workflow. We also scan the whole preprocessed data set to measure the daily data availability, which is essential for estimating the detection capability of the network at a given time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import fnmatch\n",
    "import glob\n",
    "import pandas as pd\n",
    "import os\n",
    "import sys\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import obspy as obs\n",
    "\n",
    "from BPMF.config import cfg\n",
    "from BPMF.dataset import Network\n",
    "from matplotlib.ticker import FixedLocator, FormatStrFormatter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "NETWORK_FILENAME = \"network.csv\"\n",
    "AVAILABILITY_FILENAME = \"availability.csv\"\n",
    "preproc_folder_name = f\"preprocessed_{cfg.MIN_FREQ_HZ:.0f}_{cfg.MAX_FREQ_HZ:.0f}\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2012-07-26'], dtype='datetime64[ns]', freq='D')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# we check the station metadata and data availability between START_DATE and END_DATE\n",
    "# these also define the start and end of the experiment\n",
    "START_DATE = \"2012-07-26\"\n",
    "END_DATE = \"2012-07-26\"\n",
    "datelist = pd.date_range(start=START_DATE, end=END_DATE)\n",
    "datelist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# initialize data frames\n",
    "daily_availability = pd.DataFrame()\n",
    "network_metadata = pd.DataFrame(\n",
    "    columns=[\"network_code\", \"station_code\", \"longitude\", \"latitude\", \"elevation_m\"]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# even though this tutorial analyzes a single day, this notebook is written for an extended\n",
    "# data base following the folder tree convention used here\n",
    "for date in datelist:\n",
    "    row_name = date.strftime(\"%Y-%m-%d\")\n",
    "    data_folder = os.path.join(\n",
    "        cfg.INPUT_PATH, str(date.year), date.strftime(\"%Y%m%d\"), preproc_folder_name\n",
    "    )\n",
    "    resp_folder = os.path.join(\n",
    "        cfg.INPUT_PATH, str(date.year), date.strftime(\"%Y%m%d\"), \"resp\"\n",
    "    )\n",
    "    data_filenames = glob.glob(os.path.join(data_folder, \"*mseed\"))\n",
    "    daily_network_metadata = pd.DataFrame(\n",
    "        columns=[\"network_code\", \"station_code\", \"longitude\", \"latitude\", \"elevation_m\"]\n",
    "    )\n",
    "    for fname in data_filenames:\n",
    "        # we are only interested in the filename, not the entire path\n",
    "        fname = os.path.basename(fname)\n",
    "        # the filename contains information on the channel id\n",
    "        net_code, sta_code, loc_code, cha_code, ext = fname.split(\".\")\n",
    "        cha_code = cha_code[: cha_code.find(\"_\")]\n",
    "        # print(net_code, sta_code, loc_code, cha_code)\n",
    "        daily_network_metadata.loc[\n",
    "            f\"{net_code}.{sta_code}\", [\"network_code\", \"station_code\"]\n",
    "        ] = [net_code, sta_code]\n",
    "    \n",
    "    for sta_id in daily_network_metadata.index:\n",
    "        # count the number of channels associated with sta_id\n",
    "        channels = fnmatch.filter(data_filenames, f\"*{sta_id}.*mseed\")\n",
    "        daily_availability.loc[row_name, sta_id] = len(channels)\n",
    "        if sta_id not in network_metadata.index:\n",
    "            station_inv = obs.read_inventory(\n",
    "                os.path.join(resp_folder, f\"{sta_id}.xml\")\n",
    "            )[0][0]\n",
    "            daily_network_metadata.loc[\n",
    "                sta_id, [\"longitude\", \"latitude\", \"elevation_m\"]\n",
    "            ] = [station_inv.longitude, station_inv.latitude, station_inv.elevation]\n",
    "    network_metadata = pd.concat([network_metadata, daily_network_metadata]).drop_duplicates()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>network_code</th>\n",
       "      <th>station_code</th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>elevation_m</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>YH.DE07</th>\n",
       "      <td>YH</td>\n",
       "      <td>DE07</td>\n",
       "      <td>30.411539</td>\n",
       "      <td>40.679661</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YH.DC07</th>\n",
       "      <td>YH</td>\n",
       "      <td>DC07</td>\n",
       "      <td>30.24217</td>\n",
       "      <td>40.66708</td>\n",
       "      <td>164.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YH.DC08</th>\n",
       "      <td>YH</td>\n",
       "      <td>DC08</td>\n",
       "      <td>30.25013</td>\n",
       "      <td>40.744438</td>\n",
       "      <td>162.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YH.DE08</th>\n",
       "      <td>YH</td>\n",
       "      <td>DE08</td>\n",
       "      <td>30.406469</td>\n",
       "      <td>40.748562</td>\n",
       "      <td>31.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YH.SPNC</th>\n",
       "      <td>YH</td>\n",
       "      <td>SPNC</td>\n",
       "      <td>30.3083</td>\n",
       "      <td>40.686001</td>\n",
       "      <td>190.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YH.DC06</th>\n",
       "      <td>YH</td>\n",
       "      <td>DC06</td>\n",
       "      <td>30.265751</td>\n",
       "      <td>40.616718</td>\n",
       "      <td>555.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YH.SAUV</th>\n",
       "      <td>YH</td>\n",
       "      <td>SAUV</td>\n",
       "      <td>30.3272</td>\n",
       "      <td>40.7402</td>\n",
       "      <td>170.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YH.DD06</th>\n",
       "      <td>YH</td>\n",
       "      <td>DD06</td>\n",
       "      <td>30.31777</td>\n",
       "      <td>40.623539</td>\n",
       "      <td>182.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        network_code station_code  longitude   latitude elevation_m\n",
       "YH.DE07           YH         DE07  30.411539  40.679661        40.0\n",
       "YH.DC07           YH         DC07   30.24217   40.66708       164.0\n",
       "YH.DC08           YH         DC08   30.25013  40.744438       162.0\n",
       "YH.DE08           YH         DE08  30.406469  40.748562        31.0\n",
       "YH.SPNC           YH         SPNC    30.3083  40.686001       190.0\n",
       "YH.DC06           YH         DC06  30.265751  40.616718       555.0\n",
       "YH.SAUV           YH         SAUV    30.3272    40.7402       170.0\n",
       "YH.DD06           YH         DD06   30.31777  40.623539       182.0"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "network_metadata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>YH.DE07</th>\n",
       "      <th>YH.DC07</th>\n",
       "      <th>YH.DC08</th>\n",
       "      <th>YH.DE08</th>\n",
       "      <th>YH.SPNC</th>\n",
       "      <th>YH.DC06</th>\n",
       "      <th>YH.SAUV</th>\n",
       "      <th>YH.DD06</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2012-07-26</th>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            YH.DE07  YH.DC07  YH.DC08  YH.DE08  YH.SPNC  YH.DC06  YH.SAUV  \\\n",
       "2012-07-26      3.0      3.0      3.0      3.0      3.0      3.0      3.0   \n",
       "\n",
       "            YH.DD06  \n",
       "2012-07-26      3.0  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daily_availability"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Save the network metadata and data availability"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "../network/network.csv\n"
     ]
    }
   ],
   "source": [
    "network_metadata.index.name = \"station_id\"\n",
    "print(os.path.join(cfg.NETWORK_PATH, NETWORK_FILENAME))\n",
    "network_metadata.to_csv(os.path.join(cfg.NETWORK_PATH, NETWORK_FILENAME), sep=\"\\t\")\n",
    "# add two header lines\n",
    "with open(os.path.join(cfg.NETWORK_PATH, NETWORK_FILENAME), \"r+\") as fnet:\n",
    "    content = fnet.read()\n",
    "    # move pointer to beginning of file\n",
    "    fnet.seek(0, 0)\n",
    "    # append lines at the beginning\n",
    "    fnet.write(f\"{START_DATE}\\t{END_DATE}\\n\")\n",
    "    # write the name of the components used on each station\n",
    "    # note: the list of components will be used to broadcast\n",
    "    # network waveforms into a single numpy.ndarray, so even\n",
    "    # if some stations only have one component we need to \n",
    "    # fill their missing components with zeros in order to\n",
    "    # keep consistent data dimensions across stations\n",
    "    fnet.write(f\"N\\tE\\tZ\\n\")\n",
    "    fnet.write(content)\n",
    "daily_availability.to_csv(os.path.join(cfg.NETWORK_PATH, AVAILABILITY_FILENAME))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Test reading the new network file with `BPMF.dataset.Network`\n",
    "\n",
    "The csv file with network metadata is meant to be read into an instance of `BPMF.dataset.Network`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "net = Network(NETWORK_FILENAME)\n",
    "net.read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['DE07', 'DC07', 'DC08', 'DE08', 'SPNC', 'DC06', 'SAUV', 'DD06'],\n",
       "      dtype='<U4')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# list of station codes\n",
    "net.stations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DE07</th>\n",
       "      <th>DC07</th>\n",
       "      <th>DC08</th>\n",
       "      <th>DE08</th>\n",
       "      <th>SPNC</th>\n",
       "      <th>DC06</th>\n",
       "      <th>SAUV</th>\n",
       "      <th>DD06</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>DE07</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>14.388528</td>\n",
       "      <td>15.420268</td>\n",
       "      <td>7.663334</td>\n",
       "      <td>8.757172</td>\n",
       "      <td>14.183476</td>\n",
       "      <td>9.798210</td>\n",
       "      <td>10.087409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DC07</th>\n",
       "      <td>14.388528</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.616766</td>\n",
       "      <td>16.572942</td>\n",
       "      <td>5.972804</td>\n",
       "      <td>5.950485</td>\n",
       "      <td>10.842966</td>\n",
       "      <td>8.016817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DC08</th>\n",
       "      <td>15.420268</td>\n",
       "      <td>8.616766</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>13.212465</td>\n",
       "      <td>8.140696</td>\n",
       "      <td>14.249786</td>\n",
       "      <td>6.526482</td>\n",
       "      <td>14.592524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DE08</th>\n",
       "      <td>7.663334</td>\n",
       "      <td>16.572942</td>\n",
       "      <td>13.212465</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>10.820888</td>\n",
       "      <td>18.871834</td>\n",
       "      <td>6.760531</td>\n",
       "      <td>15.779586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SPNC</th>\n",
       "      <td>8.757172</td>\n",
       "      <td>5.972804</td>\n",
       "      <td>8.140696</td>\n",
       "      <td>10.820888</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.501549</td>\n",
       "      <td>6.227020</td>\n",
       "      <td>6.982323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DC06</th>\n",
       "      <td>14.183476</td>\n",
       "      <td>5.950485</td>\n",
       "      <td>14.249786</td>\n",
       "      <td>18.871834</td>\n",
       "      <td>8.501549</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>14.668558</td>\n",
       "      <td>4.481904</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAUV</th>\n",
       "      <td>9.798210</td>\n",
       "      <td>10.842966</td>\n",
       "      <td>6.526482</td>\n",
       "      <td>6.760531</td>\n",
       "      <td>6.227020</td>\n",
       "      <td>14.668558</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>12.979454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DD06</th>\n",
       "      <td>10.087409</td>\n",
       "      <td>8.016817</td>\n",
       "      <td>14.592524</td>\n",
       "      <td>15.779586</td>\n",
       "      <td>6.982323</td>\n",
       "      <td>4.481904</td>\n",
       "      <td>12.979454</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           DE07       DC07       DC08       DE08       SPNC       DC06  \\\n",
       "DE07   0.000000  14.388528  15.420268   7.663334   8.757172  14.183476   \n",
       "DC07  14.388528   0.000000   8.616766  16.572942   5.972804   5.950485   \n",
       "DC08  15.420268   8.616766   0.000000  13.212465   8.140696  14.249786   \n",
       "DE08   7.663334  16.572942  13.212465   0.000000  10.820888  18.871834   \n",
       "SPNC   8.757172   5.972804   8.140696  10.820888   0.000000   8.501549   \n",
       "DC06  14.183476   5.950485  14.249786  18.871834   8.501549   0.000000   \n",
       "SAUV   9.798210  10.842966   6.526482   6.760531   6.227020  14.668558   \n",
       "DD06  10.087409   8.016817  14.592524  15.779586   6.982323   4.481904   \n",
       "\n",
       "           SAUV       DD06  \n",
       "DE07   9.798210  10.087409  \n",
       "DC07  10.842966   8.016817  \n",
       "DC08   6.526482  14.592524  \n",
       "DE08   6.760531  15.779586  \n",
       "SPNC   6.227020   6.982323  \n",
       "DC06  14.668558   4.481904  \n",
       "SAUV   0.000000  12.979454  \n",
       "DD06  12.979454   0.000000  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# inter-station distance in km\n",
    "net.interstation_distances"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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       "   <cc:Work>\n",
       "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
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     },
     "metadata": {
      "needs_background": "light"
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     "output_type": "display_data"
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   ],
   "source": [
    "%config InlineBackend.figure_formats = [\"svg\"]\n",
    "\n",
    "# plot a simple map with the station locations\n",
    "fig = net.plot_map()"
   ]
  }
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