{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Local File Tutorial\n",
    "\n",
    "The goal of this notebook is to provide a tutorial for working with local files and custom event catalogs. See the [quick_start](quick_start.ipynb) tutorial for working with event catalogs and data retrieved from a `Client`. \n",
    "\n",
    "## Matched-filter signal detection on local files with EQcorrscan\n",
    "One of the main applications of EQcorrscan is to detect earthquakes or other seimic signals\n",
    "using matched-filters (aka template-matching).  To undertake matched-filtering templates are\n",
    "required.  Templates are simply processed waveforms. In EQcorrscan templates are realised\n",
    "as `Template` objects, which contain the waveform data and meta-data associated with their\n",
    "creation. Groups of `Template` objects are stored in `Tribe` objects. To demonstrate this, we\n",
    "will create a `Tribe` for a M1.1 event in Southern Alaska.\n",
    "\n",
    "Before we begin we will set up logging - EQcorrscan provides textual output through the \n",
    "native Python [logging library](https://docs.python.org/3/library/logging.html). The standard\n",
    "`DEBUG`, `INFO`, `WARNING`, `ERROR` and `CRITICAL` levels are supported.  For this we will\n",
    "set to `ERROR` to reduce the output.  When starting off you might want to set to `INFO`,\n",
    "or if something is happening that you don't expect, `DEBUG` will give you much more output."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# set up logging\n",
    "import logging\n",
    "\n",
    "logging.basicConfig(\n",
    "    level=logging.ERROR,\n",
    "    format=\"%(asctime)s\\t%(name)s\\t%(levelname)s\\t%(message)s\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we need a catalog of events. You can either download a catalog using `client.get_events` as shown in the quick start tutorial, or you can build your own catalog following the example below. To build a custom event catalog compatible with EQcorrscan the phase arrival times need to be stored in a Obspy catalog complete with network and channel information for each station. First we generate a HYPODD format file, then read it into an Obspy catalog, then complete the catalog with missing network and channel information. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Pick\n",
       "\t resource_id: ResourceIdentifier(id=\"smi:local/ea3eb3f5-a380-4841-8a6f-05e49bc13083\")\n",
       "\t        time: UTCDateTime(2016, 9, 26, 8, 52, 45, 180000)\n",
       "\t waveform_id: WaveformStreamID(network_code='YG', station_code='RH08', channel_code='BHZ', location_code='')\n",
       "\t  phase_hint: 'P',\n",
       " Pick\n",
       "\t resource_id: ResourceIdentifier(id=\"smi:local/91501389-693d-4b71-81d5-9f76c1dffeec\")\n",
       "\t        time: UTCDateTime(2016, 9, 26, 8, 52, 45, 809000)\n",
       "\t waveform_id: WaveformStreamID(network_code='YG', station_code='NEB1', channel_code='BHZ', location_code='')\n",
       "\t  phase_hint: 'P',\n",
       " Pick\n",
       "\t resource_id: ResourceIdentifier(id=\"smi:local/00f1ddc9-a89d-42fc-a7c2-a25ddff68ce4\")\n",
       "\t        time: UTCDateTime(2016, 9, 26, 8, 52, 45, 661000)\n",
       "\t waveform_id: WaveformStreamID(network_code='YG', station_code='NEB3', channel_code='BHZ', location_code='')\n",
       "\t  phase_hint: 'P']"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# build catalog of events to use as templates\n",
    "\n",
    "from obspy import UTCDateTime, Stream, read, read_events\n",
    "\n",
    "# create HYPODD format file with template events to import them into EQcorrscan\n",
    "# entries are: #, YR, MO, DY, HR, MN, SC, LAT, LON, DEP, MAG, EH, EZ, RMS, ID \n",
    "#              followed by lines of observations: STA, TT, WGHT, PHA\n",
    "# as specified here: https://www.ldeo.columbia.edu/~felixw/papers/Waldhauser_OFR2001.pdf\n",
    "templates = [\"# 2016  9 26  8 52 40.00  61.9833 -144.0437   1.70  1.10  0.0  0.0  0.00  1\\n\",\n",
    "             \"RH08    5.180  1       P\\n\",\n",
    "             \"NEB1    5.809  1       P\\n\",\n",
    "             \"NEB3    5.661  1       P\\n\"]\n",
    "\n",
    "# now write to Obspy readable catalog file\n",
    "with open(\"templates.pha\", \"w\") as file:\n",
    "    for line in templates:\n",
    "        file.write(line)\n",
    "\n",
    "# read the file into an Obspy catalog\n",
    "catalog = read_events(\"templates.pha\", format=\"HYPODDPHA\")\n",
    "\n",
    "# complete missing catalog info (information required by EQcorrscan)\n",
    "# station dict to add data needed by EQcorrscan\n",
    "station_dict = {\"RH08\": {\"network\": \"YG\", \"channel\": \"BHZ\"},\n",
    "                \"NEB1\": {\"network\": \"YG\", \"channel\": \"BHZ\"},\n",
    "                \"NEB3\": {\"network\": \"YG\", \"channel\": \"BHZ\"}}\n",
    "# assign network and channel to catalog\n",
    "for event in catalog.events:\n",
    "    for pick in event.picks:\n",
    "        if pick.waveform_id.station_code in station_dict:\n",
    "            pick.waveform_id.network_code = station_dict[pick.waveform_id.station_code][\"network\"]\n",
    "            pick.waveform_id.channel_code = station_dict[pick.waveform_id.station_code][\"channel\"]\n",
    "\n",
    "# inspect the contents\n",
    "catalog[0].picks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "EQcorrscan can be used with data directly from a `Client` or local data. In the cell below, data is downloaded locally to the 'data' directory, and later used for event detection. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# download data for specified stations locally to the 'data' directory\n",
    "from obspy.clients.fdsn import Client\n",
    "import os\n",
    "\n",
    "# make directory for data\n",
    "os.mkdir(\"./data\")\n",
    "\n",
    "# helper function to download data from IRIS DMC via Obspy\n",
    "def download_Waveforms(network, stations, location, channels, start_Time, end_Time):\n",
    "    client = Client(\"IRIS\")\n",
    "    \n",
    "    for station in stations:\n",
    "        for channel in channels:\n",
    "            st = client.get_waveforms(network, station, location, channel,\n",
    "                                      start_Time, end_Time)\n",
    "            # fix rounding errors in sampling rate before merging\n",
    "            for index, trace in enumerate(st):\n",
    "                st[index].stats.sampling_rate = round(trace.stats.sampling_rate)\n",
    "\n",
    "            # do not fill with 0's when using EQcorrscan\n",
    "            st = st.merge(method=1, fill_value=None)\n",
    "            \n",
    "            filename = f\"{network}.{station}.{channel}\" \\\n",
    "                           f\".{start_Time.year}\" \\\n",
    "                           f\"-{start_Time.month:02}-\" \\\n",
    "                           f\"{start_Time.day:02}.ms\"\n",
    "\n",
    "            st.write(f\"./data/{filename}\", format=\"MSEED\")\n",
    "\n",
    "# 1 day of data downloaded for three stations in the YG network\n",
    "network = \"YG\"\n",
    "stations = [\"RH08\", \"NEB1\", \"NEB3\"]\n",
    "location = \"**\"\n",
    "channels = [\"BHZ\", \"BHN\", \"BHE\"]\n",
    "# the date range\n",
    "start_Time = UTCDateTime(\"2016-09-26T00:00:00.0Z\")\n",
    "end_Time =   UTCDateTime(\"2016-09-26T23:59:59.999999Z\")\n",
    "# download the files\n",
    "download_Waveforms(network, stations, location, channels, start_Time, end_Time)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tribe of 1 templates\n"
     ]
    }
   ],
   "source": [
    "# load templates from local data and catalog generated above\n",
    "\n",
    "from eqcorrscan import Tribe\n",
    "    \n",
    "# build stream of all stations for detection from 'data' directory\n",
    "import glob\n",
    "files_path = \"./data\"\n",
    "file_list = glob.glob(f\"{files_path}/*.ms\")\n",
    "\n",
    "# load files into stream\n",
    "st = Stream()\n",
    "for file in file_list:\n",
    "    st += read(file)\n",
    "    \n",
    "# update process_len to the duration in seconds\n",
    "process_len = round(end_Time - start_Time)\n",
    "\n",
    "# bandpass 1-15 Hz, 5.0 second template + 1.0 s prepick = 6.0 second template\n",
    "tribe = Tribe().construct(\n",
    "    method=\"from_meta_file\", meta_file=catalog, st=st, lowcut=1.0, highcut=15.0, \n",
    "    samp_rate=40.0, length=5.0, filt_order=4, prepick=1.0, swin='all',\n",
    "    process_len=process_len, parallel=True)\n",
    "print(tribe)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This makes a tribe by:\n",
    "\n",
    "1. Loading data from the Stream built from local files;\n",
    "2. Detrending, filtering and resampling the data;\n",
    "3. Trimming the data around picks within each event in the catalog.\n",
    "    \n",
    "To make this `Tribe` we used a few different arguments:\n",
    "\n",
    "- `method`: The 'from_meta_file' method specifies to load a catalog from a file or Obspy catalog object.  \n",
    "- `meta_file`: The file or Obspy catalog object to load the event catalog from.\n",
    "- `st`: The Stream containing the local data. \n",
    "- `lowcut`: This controls the lower corner frequency of a filter in Hz.  EQcorrscan\n",
    "  natively uses Obspy's butterworth filter functions.  For more details, see the \n",
    "  [Obspy docs](https://docs.obspy.org/packages/autogen/obspy.core.stream.Stream.filter.html).\n",
    "  This can optionally be set to `None` to not apply filtering at low frequencies.\n",
    "- `highcut`: This controls the upper corner frequency of a filter in Hz. It is applied\n",
    "  in tandem with lowcut, or can be set to `None` to not apply filtering at high frequencies.\n",
    "- `samp_rate`: The desired sampling-rate of the templates in Hz.  EQcorrscan requires that\n",
    "  templates and continuous data be sampled at the same rate.  In this case we are downsampling\n",
    "  data from 100.0 Hz to 50.0 Hz.  We do this to reduce memory-load. EQcorrscan uses Obspy's\n",
    "  [resampling method](https://docs.obspy.org/packages/autogen/obspy.core.stream.Stream.resample.html#obspy.core.stream.Stream.resample)\n",
    "- `length`: This is the length of the template waveform on each channel in seconds.\n",
    "- `filt_order`: This sets the number of corners/order of the filter applied using\n",
    "  `highcut` and `lowcut`.\n",
    "- `prepick`: The number of seconds prior to a phase-pick to start a template waveform.\n",
    "- `catalog`: The catalog of events to generate templates for.\n",
    "- `process_len`: The length of data to download in seconds for each template. This should be\n",
    "  the same as the length of your continuous data, e.g. if you data are in day-long files, this\n",
    "  should be set to `86400`.\n",
    "- `parallel`: Whether to process the data in parallel or not.  This will increase memory load,\n",
    "  if you find yourself running out of memory, set `parallel=False` for these template\n",
    "  construction methods.\n",
    "      \n",
    "Lets have a quick look at the attributes of a `Template`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Template 2016_09_26t08_52_44: \n",
      "\t 3 channels;\n",
      "\t lowcut: 1.0 Hz;\n",
      "\t highcut: 15.0 Hz;\n",
      "\t sampling rate 40.0 Hz;\n",
      "\t filter order: 4; \n",
      "\t process length: 86400.0 s\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 800x600 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# inspect first template\n",
    "print(tribe[0])\n",
    "fig = tribe[0].st.plot(equal_scale=False, size=(800, 600))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that this template has data from multiple stations, and that our processing parameters\n",
    "are stored alongside the template waveform.  This means that we can ensure that when we work\n",
    "on continuous data to run matched-filtering the data are processed in the same way.\n",
    "\n",
    "Next we use this tribe to detect earthquakes within one day of data from Southern Alaska. We utilize the same Stream object built above, which contains data for September 26, 2016.\n",
    "\n",
    "This next cell will:\n",
    "\n",
    "1. Process the data in the same way as the templates in the `Tribe` (note that your\n",
    "   tribe can contain templates processed in different ways: these will be grouped into\n",
    "   similarly processed templates and the matched-filter process will be run multiple\n",
    "   times; once for each group of similar templates);\n",
    "2. Cross-correlate the templates with the processed data and stack the correlations;\n",
    "3. Detect within each templates stacked cross-correlation array based on a given threshold;\n",
    "4. Generate `Detection` objects with Obspy events and meta-data\n",
    "    \n",
    "Again, we use a few arguments here:\n",
    "\n",
    "- `st`: This again is the stream of data built from local files;\n",
    "- `threshold`: The threshold for detection: note that the correlation sum is both\n",
    "  positive and negative valued.  Detections are made based on the absolute of the\n",
    "  correlation vector, so both postively and negatively correlated detections are made;\n",
    "- `daylong`: Uses efficient preprocessing for files that span 1 day;\n",
    "- `threshold_type`: The type of threshold to use, in this case we used `\"MAD\"`, the\n",
    "  median absolute deviation, our `threshold` is the MAD multiplier;\n",
    "- `trig_int`: The minimum time (in seconds) between triggers.  The highest absolute\n",
    "  correlation value will be used within this window if multiple possible triggers\n",
    "  occur.  Note that this only applies within the detections from one template.\n",
    "- `plot`: We turned plotting off in this case;\n",
    "- `return_stream`: Setting this to `True` will return the pre-processed stream, allowing us to reuse this stream for later processing.\n",
    "- `parallel_process`: Utilize parallel processing;\n",
    "\n",
    "A `Party` will be returned after detection.  The `Party` is a container for `Family` objects. Each\n",
    "`Family` contains a `Template` and all the detections associated with that `Template`.  Detections\n",
    "are stored as `Detection` objects.\n",
    "      \n",
    "Lets run the detection and have a look at the cumulative detections we made."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 756x540 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Family of 5 detections from template 2016_09_26t08_52_44\n"
     ]
    }
   ],
   "source": [
    "# use tribe to detect events in local data\n",
    "\n",
    "# detect instances above 8.0x MAD\n",
    "party = tribe.detect(stream=st, threshold=8.0, daylong=False, threshold_type=\"MAD\", trig_int=8.0,\n",
    "                     plot=False, return_stream=False, parallel_process=True)\n",
    "\n",
    "# inspect the party detections\n",
    "fig = party.plot(plot_grouped=True)\n",
    "\n",
    "# peek at most productive family\n",
    "family = sorted(party.families, key=lambda f: len(f))[-1]\n",
    "print(family)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Detection on template: 2016_09_26t08_52_44 at: 2016-09-26T00:07:29.200001Z with 3 channels: [('NEB1', 'BHZ'), ('NEB3', 'BHZ'), ('RH08', 'BHZ')]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x600 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# get a dict of streams for each detection in a family and plot the first detection\n",
    "\n",
    "streams = family.extract_streams(stream=st, length=6, prepick=1.0)\n",
    "print(family.detections[0])\n",
    "fig = streams[family.detections[0].id].plot(equal_scale=False, size=(800, 600))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.7.3 64-bit ('base': conda)",
   "language": "python",
   "name": "python37364bitbaseconda19f0a08b1527479aa65044252e1e04aa"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
