Timeseries_Sample.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In order to run this notebook with the correct PYTHONPATH, you can use\n",
    "```\n",
    "$ ./e-mission-jupyter.bash notebook\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook makes heavy use of the following python libraries.\n",
    "- `pandas`: from the python computing stack (http://pandas.pydata.org/pandas-docs/stable/)\n",
    "- `geojson`: standard JSON representation of geographic data (http://geojson.org/)\n",
    "- `folium`: (https://github.com/python-visualization/folium) python bridge to leaflet (http://leafletjs.com/)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pick a user to work with ###"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/var/emission/e-mission-server'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "storage not configured, falling back to sample, default configuration\n",
      "Connecting to database URL localhost\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\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>user_email</th>\n",
       "      <th>uuid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>patgendre</td>\n",
       "      <td>a2ad418f-74ff-4d60-8ea0-9ccf9dd5de9b</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>mahieu</td>\n",
       "      <td>bb5eb9ad-4589-4aa7-a4cb-f1c2037dbcd4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>maria.tebar@cerema.fr</td>\n",
       "      <td>2aa06302-bb3b-48d9-805e-d5ae6209bfca</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>test_user_1</td>\n",
       "      <td>c1010f8c-b089-4d77-84ed-d19a3a4656c8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              user_email                                  uuid\n",
       "0              patgendre  a2ad418f-74ff-4d60-8ea0-9ccf9dd5de9b\n",
       "1                 mahieu  bb5eb9ad-4589-4aa7-a4cb-f1c2037dbcd4\n",
       "2  maria.tebar@cerema.fr  2aa06302-bb3b-48d9-805e-d5ae6209bfca\n",
       "3            test_user_1  c1010f8c-b089-4d77-84ed-d19a3a4656c8"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import emission.core.get_database as edb\n",
    "import pandas as pd\n",
    "all_users = pd.DataFrame(list(edb.get_uuid_db().find({}, {\"user_email\":1, \"uuid\": 1, \"_id\": 0})))\n",
    "all_users"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_user_id_2 = all_users.iloc[2].uuid\n",
    "test_user_id_7 = all_users.iloc[7].uuid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from uuid import UUID"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_user_id = all_users.iloc[2].uuid # replace with UUID from above"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you want to work across multiple users, just do the same thing again"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tre\n"
     ]
    }
   ],
   "source": [
    "print(\"tre\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Preferred access technique"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The preferred technique to access wrapper objects from the timeseries is to use the abstract timeseries interface. This makes it easier for us to switch to alternative timeseries implementations later. The timeseries is conceptually a set of streams, one for each of the types, primarily indexed by time. So you can query for all entries of a particular time within a specified time range."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import emission.storage.timeseries.abstract_timeseries as esta\n",
    "import emission.storage.decorations.analysis_timeseries_queries as esda\n",
    "import emission.core.wrapper.entry as ecwe\n",
    "import emission.storage.decorations.trip_queries as esdt\n",
    "import emission.storage.timeseries.timequery as estt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "91bc554a-4228-4afd-b2ca-be8eb7e33760\n"
     ]
    }
   ],
   "source": [
    "print(test_user_id_2)\n",
    "ts_2 = esta.TimeSeries.get_time_series(test_user_id_2)\n",
    "ts_7 = esta.TimeSeries.get_time_series(test_user_id_7)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Accessing entries directly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get all cleaned trips for the first user\n",
    "ts = esta.TimeSeries.get_time_series(test_user_id)\n",
    "entry_it = ts.find_entries([\"segmentation/raw_trip\"], time_query=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All keys and their mapping to data model objects can be found in \n",
    "https://github.com/e-mission/e-mission-server/blob/master/emission/core/wrapper/entry.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "=== Trip: {\"coordinates\": [-1.6720301, 48.10444], \"type\": \"Point\"} -> {\"coordinates\": [-1.6733677, 48.1043067], \"type\": \"Point\"}\n",
      "jour-heure  LocalDate({'year': 2019, 'month': 3, 'day': 27, 'hour': 19, 'minute': 28, 'second': 54, 'weekday': 2, 'timezone': 'Europe/Paris'}) 100.21199989318848\n",
      "=== Trip: {\"coordinates\": [3.0619455, 50.6283401], \"type\": \"Point\"} -> {\"coordinates\": [3.0654961, 50.6270542], \"type\": \"Point\"}\n",
      "jour-heure  LocalDate({'year': 2019, 'month': 4, 'day': 19, 'hour': 12, 'minute': 44, 'second': 1, 'weekday': 4, 'timezone': 'Europe/Paris'}) 909.8414974212646\n",
      "=== Trip: {\"coordinates\": [3.0654961, 50.6270542], \"type\": \"Point\"} -> {\"coordinates\": [3.0558097, 50.6307208], \"type\": \"Point\"}\n",
      "jour-heure  LocalDate({'year': 2019, 'month': 4, 'day': 19, 'hour': 17, 'minute': 15, 'second': 54, 'weekday': 4, 'timezone': 'Europe/Paris'}) 271.9594702720642\n",
      "=== Trip: {\"coordinates\": [3.0685092, 50.6244877], \"type\": \"Point\"} -> {\"coordinates\": [3.0702096, 50.6272042], \"type\": \"Point\"}\n",
      "jour-heure  LocalDate({'year': 2019, 'month': 4, 'day': 25, 'hour': 12, 'minute': 12, 'second': 41, 'weekday': 3, 'timezone': 'Europe/Paris'}) 190.85899996757507\n",
      "=== Trip: {\"coordinates\": [3.0702096, 50.6272042], \"type\": \"Point\"} -> {\"coordinates\": [3.0654589, 50.6271102], \"type\": \"Point\"}\n",
      "jour-heure  LocalDate({'year': 2019, 'month': 4, 'day': 25, 'hour': 14, 'minute': 13, 'second': 9, 'weekday': 3, 'timezone': 'Europe/Paris'}) 613.9306778907776\n"
     ]
    }
   ],
   "source": [
    "# recherche des tracés d'iti user \n",
    "entry_rawtrips = ts.find_entries([\"analysis/cleaned_trip\"], time_query=None)\n",
    "for ct in entry_rawtrips:\n",
    "    cte = ecwe.Entry(ct)\n",
    "    print(\"=== Trip:\", cte.data.start_loc, \"->\", cte.data.end_loc)\n",
    "    print (\"jour-heure \",cte.data.start_local_dt, cte.data.duration)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "for ct in entry_it:\n",
    "    cte = ecwe.Entry(ct)\n",
    "    print(\"=== Trip:\", cte.data.start_loc, \"->\", cte.data.end_loc)\n",
    "    print (\"jour-heure \",cte.data.start_local_dt, cte.data.duration)\n",
    "    section_it = esdt.get_sections_for_trip(\"analysis/cleaned_section\", test_user_id, cte.get_id())\n",
    "    for sec in section_it:\n",
    "        print(\"  --- Section:\", sec.data.start_loc, \"->\", sec.data.end_loc, \" on \", sec.data.sensed_mode)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cleanedtrip({'source': 'DwellSegmentationTimeFilter', 'end_ts': 1556195003.195, 'end_local_dt': {'year': 2019, 'month': 4, 'day': 25, 'hour': 14, 'minute': 23, 'second': 23, 'weekday': 3, 'timezone': 'Europe/Paris'}, 'end_fmt_time': '2019-04-25T14:23:23.195000+02:00', 'end_loc': {'type': 'Point', 'coordinates': [3.0654589, 50.6271102]}, 'raw_trip': ObjectId('5cc1b36c4e276dea15c700b3'), 'start_ts': 1556194389.264322, 'start_local_dt': {'year': 2019, 'month': 4, 'day': 25, 'hour': 14, 'minute': 13, 'second': 9, 'weekday': 3, 'timezone': 'Europe/Paris'}, 'start_fmt_time': '2019-04-25T14:13:09.264322+02:00', 'start_loc': {'type': 'Point', 'coordinates': [3.0702096, 50.6272042]}, 'duration': 613.9306778907776, 'distance': 442.25737408352654, 'start_place': ObjectId('5cc1b36d4e276dea15c700f2'), 'end_place': ObjectId('5cc1b36d4e276dea15c700f3')})\n"
     ]
    }
   ],
   "source": [
    "print (cte.data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get all cleaned trips for the second user\n",
    "entry_it = ts.find_entries([\"analysis/cleaned_trip\"], time_query=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "=== Trip: {\"coordinates\": [-1.6720301, 48.10444], \"type\": \"Point\"} -> {\"coordinates\": [-1.6733677, 48.1043067], \"type\": \"Point\"}\n",
      "  --- Section: {\"coordinates\": [-1.6720301, 48.10444], \"type\": \"Point\"} -> {\"coordinates\": [-1.6733677, 48.1043067], \"type\": \"Point\"}  on  MotionTypes.ON_FOOT\n",
      "=== Trip: {\"coordinates\": [3.0619455, 50.6283401], \"type\": \"Point\"} -> {\"coordinates\": [3.0654961, 50.6270542], \"type\": \"Point\"}\n",
      "  --- Section: {\"coordinates\": [3.0619455, 50.6283401], \"type\": \"Point\"} -> {\"coordinates\": [3.0654961, 50.6270542], \"type\": \"Point\"}  on  MotionTypes.ON_FOOT\n",
      "=== Trip: {\"coordinates\": [3.0654961, 50.6270542], \"type\": \"Point\"} -> {\"coordinates\": [3.0558097, 50.6307208], \"type\": \"Point\"}\n",
      "  --- Section: {\"coordinates\": [3.0654961, 50.6270542], \"type\": \"Point\"} -> {\"coordinates\": [3.0558097, 50.6307208], \"type\": \"Point\"}  on  MotionTypes.UNKNOWN\n",
      "=== Trip: {\"coordinates\": [3.0685092, 50.6244877], \"type\": \"Point\"} -> {\"coordinates\": [3.0702096, 50.6272042], \"type\": \"Point\"}\n",
      "  --- Section: {\"coordinates\": [3.0685092, 50.6244877], \"type\": \"Point\"} -> {\"coordinates\": [3.0702096, 50.6272042], \"type\": \"Point\"}  on  MotionTypes.IN_VEHICLE\n",
      "=== Trip: {\"coordinates\": [3.0702096, 50.6272042], \"type\": \"Point\"} -> {\"coordinates\": [3.0654589, 50.6271102], \"type\": \"Point\"}\n",
      "  --- Section: {\"coordinates\": [3.0702096, 50.6272042], \"type\": \"Point\"} -> {\"coordinates\": [3.0654589, 50.6271102], \"type\": \"Point\"}  on  MotionTypes.ON_FOOT\n"
     ]
    }
   ],
   "source": [
    "for ct in entry_it:\n",
    "    cte = ecwe.Entry(ct)\n",
    "    print(\"=== Trip:\", cte.data.start_loc, \"->\", cte.data.end_loc)\n",
    "    section_it = esdt.get_sections_for_trip(\"analysis/cleaned_section\", test_user_id, cte.get_id())\n",
    "    for sec in section_it:\n",
    "        print(\"  --- Section:\", sec.data.start_loc, \"->\", sec.data.end_loc, \" on \", sec.data.sensed_mode)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get cleaned trips for the two users that started on 1st Aug UTC\n",
    "import arrow\n",
    "\n",
    "aug_1_tq = estt.TimeQuery(\"data.start_ts\",\n",
    "                          arrow.get(\"2017-08-01\").timestamp, # start of range\n",
    "                          arrow.get(\"2017-08-02\").timestamp)  # end of range\n",
    "entry_it = ts.find_entries([\"analysis/cleaned_trip\"], time_query=aug_1_tq)\n",
    "entry_it_2 = ts_2.find_entries([\"analysis/cleaned_trip\"], time_query=aug_1_tq)\n",
    "print(\"From %s -> %s, user %s had %d trips and user %s had %d trips\" %\n",
    "     (aug_1_tq.startTs, aug_1_tq.endTs, test_user_id, len(list(entry_it)), test_user_id_2, len(list(entry_it_2))))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Accessing a dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get all cleaned trips for the first user\n",
    "ct_df = ts.get_data_df(\"analysis/cleaned_trip\", time_query=None)\n",
    "sm_df = ts.get_data_df(\"analysis/smoothing\", time_query=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(ct_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['_id', 'distance', 'duration', 'end_fmt_time', 'end_loc',\n",
       "       'end_local_dt_day', 'end_local_dt_hour', 'end_local_dt_minute',\n",
       "       'end_local_dt_month', 'end_local_dt_second', 'end_local_dt_timezone',\n",
       "       'end_local_dt_weekday', 'end_local_dt_year', 'end_place', 'end_ts',\n",
       "       'metadata_write_ts', 'raw_trip', 'source', 'start_fmt_time',\n",
       "       'start_loc', 'start_local_dt_day', 'start_local_dt_hour',\n",
       "       'start_local_dt_minute', 'start_local_dt_month',\n",
       "       'start_local_dt_second', 'start_local_dt_timezone',\n",
       "       'start_local_dt_weekday', 'start_local_dt_year', 'start_place',\n",
       "       'start_ts', 'user_id'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ct_df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\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>start_loc</th>\n",
       "      <th>end_loc</th>\n",
       "      <th>start_fmt_time</th>\n",
       "      <th>end_fmt_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>{'type': 'Point', 'coordinates': [-1.6720301, ...</td>\n",
       "      <td>{'type': 'Point', 'coordinates': [-1.6733677, ...</td>\n",
       "      <td>2019-03-27T19:28:54.788000+01:00</td>\n",
       "      <td>2019-03-27T19:30:35+01:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>{'type': 'Point', 'coordinates': [3.0619455, 5...</td>\n",
       "      <td>{'type': 'Point', 'coordinates': [3.0654961, 5...</td>\n",
       "      <td>2019-04-19T12:44:01.458503+02:00</td>\n",
       "      <td>2019-04-19T12:59:11.300000+02:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>{'type': 'Point', 'coordinates': [3.0654961, 5...</td>\n",
       "      <td>{'type': 'Point', 'coordinates': [3.0558097, 5...</td>\n",
       "      <td>2019-04-19T17:15:54.152530+02:00</td>\n",
       "      <td>2019-04-19T17:20:26.112000+02:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>{'type': 'Point', 'coordinates': [3.0685092, 5...</td>\n",
       "      <td>{'type': 'Point', 'coordinates': [3.0702096, 5...</td>\n",
       "      <td>2019-04-25T12:12:41.083000+02:00</td>\n",
       "      <td>2019-04-25T12:15:51.942000+02:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>{'type': 'Point', 'coordinates': [3.0702096, 5...</td>\n",
       "      <td>{'type': 'Point', 'coordinates': [3.0654589, 5...</td>\n",
       "      <td>2019-04-25T14:13:09.264322+02:00</td>\n",
       "      <td>2019-04-25T14:23:23.195000+02:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           start_loc  \\\n",
       "0  {'type': 'Point', 'coordinates': [-1.6720301, ...   \n",
       "1  {'type': 'Point', 'coordinates': [3.0619455, 5...   \n",
       "2  {'type': 'Point', 'coordinates': [3.0654961, 5...   \n",
       "3  {'type': 'Point', 'coordinates': [3.0685092, 5...   \n",
       "4  {'type': 'Point', 'coordinates': [3.0702096, 5...   \n",
       "\n",
       "                                             end_loc  \\\n",
       "0  {'type': 'Point', 'coordinates': [-1.6733677, ...   \n",
       "1  {'type': 'Point', 'coordinates': [3.0654961, 5...   \n",
       "2  {'type': 'Point', 'coordinates': [3.0558097, 5...   \n",
       "3  {'type': 'Point', 'coordinates': [3.0702096, 5...   \n",
       "4  {'type': 'Point', 'coordinates': [3.0654589, 5...   \n",
       "\n",
       "                     start_fmt_time                      end_fmt_time  \n",
       "0  2019-03-27T19:28:54.788000+01:00         2019-03-27T19:30:35+01:00  \n",
       "1  2019-04-19T12:44:01.458503+02:00  2019-04-19T12:59:11.300000+02:00  \n",
       "2  2019-04-19T17:15:54.152530+02:00  2019-04-19T17:20:26.112000+02:00  \n",
       "3  2019-04-25T12:12:41.083000+02:00  2019-04-25T12:15:51.942000+02:00  \n",
       "4  2019-04-25T14:13:09.264322+02:00  2019-04-25T14:23:23.195000+02:00  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ct_df[[\"start_loc\", \"end_loc\", \"start_fmt_time\", \"end_fmt_time\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\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>start_loc</th>\n",
       "      <th>end_loc</th>\n",
       "      <th>start_ts</th>\n",
       "      <th>end_ts</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>{'type': 'Point', 'coordinates': [5.3732571, 4...</td>\n",
       "      <td>{'type': 'Point', 'coordinates': [5.470528, 43...</td>\n",
       "      <td>1.548694e+09</td>\n",
       "      <td>1.548696e+09</td>\n",
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       "      <th>1</th>\n",
       "      <td>{'type': 'Point', 'coordinates': [5.470528, 43...</td>\n",
       "      <td>{'type': 'Point', 'coordinates': [5.4705162, 4...</td>\n",
       "      <td>1.548696e+09</td>\n",
       "      <td>1.548698e+09</td>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
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      "text/plain": [
       "                                           start_loc  \\\n",
       "0  {'type': 'Point', 'coordinates': [5.3732571, 4...   \n",
       "1  {'type': 'Point', 'coordinates': [5.470528, 43...   \n",
       "2  {'type': 'Point', 'coordinates': [5.4657783, 4...   \n",
       "3  {'type': 'Point', 'coordinates': [5.4660641, 4...   \n",
       "\n",
       "                                             end_loc      start_ts  \\\n",
       "0  {'type': 'Point', 'coordinates': [5.470528, 43...  1.548694e+09   \n",
       "1  {'type': 'Point', 'coordinates': [5.4705162, 4...  1.548696e+09   \n",
       "2  {'type': 'Point', 'coordinates': [5.4703689, 4...  1.548874e+09   \n",
       "3  {'type': 'Point', 'coordinates': [5.3736241, 4...  1.548919e+09   \n",
       "\n",
       "         end_ts  \n",
       "0  1.548696e+09  \n",
       "1  1.548698e+09  \n",
       "2  1.548876e+09  \n",
       "3  1.548921e+09  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get all cleaned trips for the second user\n",
    "ct_df_2 = ts_2.get_data_df(\"analysis/cleaned_trip\", time_query=None)\n",
    "ct_df_2[[\"start_loc\", \"end_loc\", \"start_ts\", \"end_ts\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get cleaned trips for the two users that started on 1st Aug UTC\n",
    "import arrow\n",
    "\n",
    "aug_1_tq = estt.TimeQuery(\"data.start_ts\",\n",
    "                          arrow.get(\"2017-08-01\").timestamp, # start of range\n",
    "                          arrow.get(\"2017-08-02\").timestamp)  # end of range\n",
    "ct_df = ts.get_data_df(\"analysis/cleaned_trip\", time_query=aug_1_tq)\n",
    "ct_df_2 = ts_2.get_data_df(\"analysis/cleaned_trip\", time_query=aug_1_tq)\n",
    "print(\"From %s -> %s, user %s had %d trips and user %s had %d trips\" %\n",
    "     (aug_1_tq.startTs, aug_1_tq.endTs, test_user_id, len(ct_df), test_user_id_2, len(ct_df_2)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "cs_df = ts.get_data_df(\"analysis/cleaned_section\", time_query=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "len(cs_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cs_df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cs_df[[\"start_loc\", \"end_loc\", \"start_ts\", \"end_ts\", \"sensed_mode\"]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Direct mongodb queries"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can also use direct mongodb queries during exploratory work. I do ask that you create a storage decorator (`emission/storage/decorations`) when you submit a pull request for ongoing use"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "import emission.core.get_database as edb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'_id': ObjectId('5c49e7944e276d05c81a293b'),\n",
       " 'user_id': '',\n",
       " 'metadata': {'key': 'stats/server_api_time',\n",
       "  'platform': 'server',\n",
       "  'write_ts': 1548347284.757146,\n",
       "  'time_zone': 'America/Los_Angeles',\n",
       "  'write_local_dt': {'year': 2019,\n",
       "   'month': 1,\n",
       "   'day': 24,\n",
       "   'hour': 8,\n",
       "   'minute': 28,\n",
       "   'second': 4,\n",
       "   'weekday': 3,\n",
       "   'timezone': 'America/Los_Angeles'},\n",
       "  'write_fmt_time': '2019-01-24T08:28:04.757146-08:00'},\n",
       " 'data': {'name': 'GET_/',\n",
       "  'ts': 1548347284.75363,\n",
       "  'reading': 0.02602386474609375}}"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "edb.get_timeseries_db().find_one()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['stats/server_api_time',\n",
       " 'background/location',\n",
       " 'background/filtered_location',\n",
       " 'statemachine/transition',\n",
       " 'background/motion_activity',\n",
       " 'stats/pipeline_time',\n",
       " 'stats/client_nav_event',\n",
       " 'background/battery',\n",
       " 'stats/client_time',\n",
       " 'config/consent',\n",
       " 'stats/client_error',\n",
       " 'stats/server_api_error']"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "edb.get_timeseries_db().distinct(\"metadata.key\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that in this case, you need to know whether to use the `timeseries` or the `analysis_timeseries` collection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['segmentation/raw_trip',\n",
       " 'segmentation/raw_place',\n",
       " 'segmentation/raw_section',\n",
       " 'segmentation/raw_stop',\n",
       " 'analysis/smoothing',\n",
       " 'analysis/recreated_location',\n",
       " 'analysis/cleaned_section',\n",
       " 'analysis/cleaned_stop',\n",
       " 'analysis/cleaned_place',\n",
       " 'analysis/cleaned_trip',\n",
       " 'segmentation/raw_untracked',\n",
       " 'analysis/cleaned_untracked',\n",
       " 'inference/prediction',\n",
       " 'analysis/inferred_section']"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "edb.get_analysis_timeseries_db().distinct(\"metadata.key\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "edb.get_analysis_timeseries_db().find({\"user_id\": test_user_id_2, \"metadata.key\": \"analysis/cleaned_trip\"}).count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In particular, you can use this to access entries that are not in the timeseries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[UUID('40267d4c-5fe9-423c-b18d-cde3d09c68c2'),\n",
       " UUID('d0cbf849-f9b1-4ba1-83be-1a148ec56a1e'),\n",
       " UUID('91bc554a-4228-4afd-b2ca-be8eb7e33760')]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "edb.get_uuid_db().distinct(\"uuid\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Timeline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The trips and places maintain links to each other - e.g. `start_place`, `end_place`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ct_df[[\"start_place\", \"end_place\"]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These are _primary key links_ to other entries in the database. It would be useful to have a doubly linked list representing this properly. The Timeline helps with that."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import emission.storage.decorations.timeline as esdl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "trip_start_end_fuzz = 10 # seconds\n",
    "ct_df = ts.get_data_df(\"analysis/cleaned_trip\", time_query=None)\n",
    "tl = esdl.get_cleaned_timeline(test_user_id, ct_df.iloc[0].start_ts - trip_start_end_fuzz, ct_df.iloc[-1].end_ts + trip_start_end_fuzz)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for e in tl:\n",
    "    if 'enter_ts' in e.data:\n",
    "        # Must be place-like\n",
    "        print(e.metadata.key, e.data.enter_fmt_time, \"->\", e.data.exit_fmt_time)\n",
    "    else:\n",
    "        print(e.metadata.key, e.data.start_fmt_time, \"->\", e.data.end_fmt_time)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# The timeline is an iterator, so after it is consumed, it is empty\n",
    "for e in tl:\n",
    "    if 'enter_ts' in e.data:\n",
    "        # Must be place-like\n",
    "        print(e.metadata.key, e.data.enter_fmt_time, \"->\", e.data.exit_fmt_time)\n",
    "    else:\n",
    "        print(e.metadata.key, e.data.start_fmt_time, \"->\", e.data.end_fmt_time)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "stl = esdt.get_cleaned_timeline_for_trip(test_user_id, tl.first_trip().get_id())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for e in stl:\n",
    "    print(e.metadata.key)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "stl = esdt.get_cleaned_timeline_for_trip(test_user_id, tl.last_trip().get_id())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for e in stl:\n",
    "    print(e.metadata.key)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Getting trip and section details ##"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Once we have trip and section objects, we can retrieve the sensed data associated with them by querying for data in various streams that falls within the time ranges associated with the trip/section. Here again, our architecture of storing the analysis results as a separate datastream makes it easy to retrieve data at various levels of processing."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot a processed trip or set of trips ###"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "analysis.debug.conf.json not configured, falling back to sample, default configuration\n"
     ]
    }
   ],
   "source": [
    "import emission.analysis.plotting.geojson.geojson_feature_converter as gfc\n",
    "import emission.analysis.plotting.leaflet_osm.our_plotter as lo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "first_trip_for_user = ct_df.iloc[2]\n",
    "first_trip_start_ts = first_trip_for_user.start_ts\n",
    "first_trip_end_ts = first_trip_for_user.end_ts\n",
    "trip_start_end_fuzz = 10 # seconds\n",
    "trips_geojson_list = gfc.get_geojson_for_ts(test_user_id, first_trip_start_ts-trip_start_end_fuzz, ct_df.iloc[-1].end_ts+trip_start_end_fuzz)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(trips_geojson_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "start_place 5cbefade4e276d76770075b7\n",
      "end_place 5cc1b36c4e276dea15c700f0\n",
      "section 5cc1b36c4e276dea15c700c0\n",
      "start_place 5cc1b36d4e276dea15c700f1\n",
      "end_place 5cc1b36d4e276dea15c700f2\n",
      "section 5cc1b36c4e276dea15c700ce\n",
      "start_place 5cc1b36d4e276dea15c700f2\n",
      "end_place 5cc1b36d4e276dea15c700f3\n",
      "section 5cc1b36c4e276dea15c700d9\n"
     ]
    }
   ],
   "source": [
    "map_list = lo.get_maps_for_geojson_trip_list(trips_geojson_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(map_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
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                ).addTo(map_af9f1183dd9a4afc9e9efcebbdd2d02e);
            
    
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            var map_545f0223398e470485d24ac4056dd74a = L.map(
                                  'map_545f0223398e470485d24ac4056dd74a',
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                                  zoom: 1,
                                  maxBounds: bounds,
                                  layers: [],
                                  worldCopyJump: false,
                                  crs: L.CRS.EPSG3857
                                 });
            
        
    
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                map_545f0223398e470485d24ac4056dd74a.fitBounds(
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                    {}
                    );
            
    
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}
                ).addTo(map_545f0223398e470485d24ac4056dd74a);
            
    
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            circle_marker_02a741601e984e098e7ad92622ef27a4.bindPopup(popup_0ad846f961d743669fa49dd7c715a06d);

            
        
    
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  "lineJoin": "round",
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                ).addTo(map_545f0223398e470485d24ac4056dd74a);
            
    
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            circle_marker_6695166d007040ecaf06e959c97fe775.bindPopup(popup_cea4c7995c1e4ba7afd1f8c3b6d00bef);

            
        
    
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}
                ).addTo(map_545f0223398e470485d24ac4056dd74a);
            
    
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            var circle_marker_867f92d4788949439ad28b2f42cfc39d = L.circleMarker(
                [48.1043067,-1.6733677],
                {
  "bubblingMouseEvents": true,
  "color": "#3388ff",
  "dashArray": null,
  "dashOffset": null,
  "fill": false,
  "fillColor": "#3388ff",
  "fillOpacity": 0.2,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
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  "stroke": true,
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}
                ).addTo(map_545f0223398e470485d24ac4056dd74a);
            
    
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                var poly_line_da8d8798ccfe426b94d861ee6766a3e6 = L.polyline(
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</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f006601e940>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "map_list[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "import branca.element as bre"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"data:text/html;charset=utf-8;base64,<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    <script>L_PREFER_CANVAS = false; L_NO_TOUCH = false; L_DISABLE_3D = false;</script>
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.2.0/dist/leaflet.js"></script>
    <script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.1/jquery.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.2.0/dist/leaflet.css" />
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css" />
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css" />
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css" />
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css" />
    <link rel="stylesheet" href="https://rawgit.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css" />
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <style> #map_149c6bf422ac4c2a833a6d9e04b323e8 {
                position : relative;
                width : 100.0%;
                height: 100.0%;
                left: 0.0%;
                top: 0.0%;
                }
            </style>
        
    <style> #div_174902f15dae4da69ad0e744bdae08c1 {
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        width : 30.0%;
        height: 45.0%;
        left: 1.6666666666666667%;
        top: 2.5%;
    </style>
    
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                position : relative;
                width : 100.0%;
                height: 100.0%;
                left: 0.0%;
                top: 0.0%;
                }
            </style>
        
    <style> #div_3e3b372889604155a5ca1fe69ee84f62 {
        position : absolute;
        width : 30.0%;
        height: 45.0%;
        left: 35.0%;
        top: 2.5%;
    </style>
    
            <style> #map_545f0223398e470485d24ac4056dd74a {
                position : relative;
                width : 100.0%;
                height: 100.0%;
                left: 0.0%;
                top: 0.0%;
                }
            </style>
        
    <style> #div_8b11a793659c4ff0bb3d2bbc2c31439f {
        position : absolute;
        width : 30.0%;
        height: 45.0%;
        left: 68.33333333333333%;
        top: 2.5%;
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</head>
<body>    
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        </div>
    <div id="div_3e3b372889604155a5ca1fe69ee84f62">
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        </div>
    <div id="div_8b11a793659c4ff0bb3d2bbc2c31439f">
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        </div>
</body>
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  "dashArray": null,
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  "lineCap": "round",
  "lineJoin": "round",
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                var html_5d4a61752ffe41f6b3475b35dae5a72c = $('<div id="html_5d4a61752ffe41f6b3475b35dae5a72c" style="width: 100.0%; height: 100.0%;">{"latitude": 48.10444, "longitude": -1.6720301, "ts": 1553711334.788, "_id": "0", "fmt_time": "2019-03-27T19:28:54.788000+01:00", "feature_type": "location"}</div>')[0];
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  "dashOffset": null,
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  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
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}
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  "dashArray": null,
  "dashOffset": null,
  "fill": false,
  "fillColor": "#3388ff",
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  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
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}
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                var html_57986bd25b07412abfffe12f4bb20098 = $('<div id="html_57986bd25b07412abfffe12f4bb20098" style="width: 100.0%; height: 100.0%;">{"latitude": 48.1044294, "longitude": -1.6719714, "ts": 1553711341.0, "_id": "2", "fmt_time": "2019-03-27T19:29:01+01:00", "feature_type": "location"}</div>')[0];
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      ],
      "text/plain": [
       "<branca.element.Figure at 0x7f00660cda90>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "nrows = 2\n",
    "ncols = 3\n",
    "fig = bre.Figure()\n",
    "for i, m in enumerate(map_list[:6]):\n",
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  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
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</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<branca.element.Figure at 0x7f0065f2bb00>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nrows = 2\n",
    "ncols = 3\n",
    "fig = bre.Figure()\n",
    "for i, map in enumerate(map_list[-6:]):\n",
    "    fig.add_subplot(nrows,ncols,i+1).add_child(map)\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Can you do better? ##"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "### Get locations with no processing, basic filtering and resampling for the first trip ###"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Locations go from all = 11 -> filtered = 10 -> resampled = 5\n"
     ]
    }
   ],
   "source": [
    "all_locs = ts.get_data_df(\"background/location\",\n",
    "                               time_query = esda.get_time_query_for_trip_like(\n",
    "                                   \"analysis/cleaned_section\", ct_df.iloc[0]._id))\n",
    "\n",
    "filtered_locs = ts.get_data_df(\"background/filtered_location\",\n",
    "                               time_query = esda.get_time_query_for_trip_like(\n",
    "                                   \"analysis/cleaned_section\", ct_df.iloc[0]._id))\n",
    "\n",
    "resampled_locs = ts.get_data_df(\"analysis/recreated_location\",\n",
    "                                 time_query = esda.get_time_query_for_trip_like(\n",
    "                                   \"analysis/cleaned_section\", ct_df.iloc[0]._id))\n",
    "print(\"Locations go from all = %d -> filtered = %d -> resampled = %d\" % (len(all_locs),\n",
    "                                                                         len(filtered_locs),\n",
    "                                                                         len(resampled_locs)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>_id</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>fmt_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <th>0</th>\n",
       "      <td>5cbece743070fe2fdf38d3c2</td>\n",
       "      <td>48.104440</td>\n",
       "      <td>-1.672030</td>\n",
       "      <td>2019-03-27T19:28:54.788000+01:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5cbece743070fe2fdf38d3bc</td>\n",
       "      <td>48.104440</td>\n",
       "      <td>-1.672030</td>\n",
       "      <td>2019-03-27T19:28:54.788000+01:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5cbece743070fe2fdf38d3ca</td>\n",
       "      <td>48.104429</td>\n",
       "      <td>-1.671971</td>\n",
       "      <td>2019-03-27T19:29:01+01:00</td>\n",
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       "      <th>3</th>\n",
       "      <td>5cbece743070fe2fdf38d3d0</td>\n",
       "      <td>48.104437</td>\n",
       "      <td>-1.671968</td>\n",
       "      <td>2019-03-27T19:29:05.125000+01:00</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5cbece743070fe2fdf38d3d6</td>\n",
       "      <td>48.104419</td>\n",
       "      <td>-1.671956</td>\n",
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       "      <td>48.104472</td>\n",
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       "      <th>10</th>\n",
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       "      <td>48.104307</td>\n",
       "      <td>-1.673368</td>\n",
       "      <td>2019-03-27T19:30:35+01:00</td>\n",
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      ],
      "text/plain": [
       "                         _id   latitude  longitude  \\\n",
       "0   5cbece743070fe2fdf38d3c2  48.104440  -1.672030   \n",
       "1   5cbece743070fe2fdf38d3bc  48.104440  -1.672030   \n",
       "2   5cbece743070fe2fdf38d3ca  48.104429  -1.671971   \n",
       "3   5cbece743070fe2fdf38d3d0  48.104437  -1.671968   \n",
       "4   5cbece743070fe2fdf38d3d6  48.104419  -1.671956   \n",
       "5   5cbece743070fe2fdf38d3de  48.104459  -1.671972   \n",
       "6   5cbece743070fe2fdf38d3e4  48.104472  -1.672020   \n",
       "7   5cbece743070fe2fdf38d3ea  48.104472  -1.672100   \n",
       "8   5cbece743070fe2fdf38d3f0  48.104443  -1.672207   \n",
       "9   5cbece743070fe2fdf38d3fe  48.104408  -1.672752   \n",
       "10  5cbece743070fe2fdf38d404  48.104307  -1.673368   \n",
       "\n",
       "                            fmt_time  \n",
       "0   2019-03-27T19:28:54.788000+01:00  \n",
       "1   2019-03-27T19:28:54.788000+01:00  \n",
       "2          2019-03-27T19:29:01+01:00  \n",
       "3   2019-03-27T19:29:05.125000+01:00  \n",
       "4   2019-03-27T19:29:10.146000+01:00  \n",
       "5          2019-03-27T19:29:17+01:00  \n",
       "6          2019-03-27T19:29:22+01:00  \n",
       "7          2019-03-27T19:29:27+01:00  \n",
       "8          2019-03-27T19:29:32+01:00  \n",
       "9          2019-03-27T19:30:06+01:00  \n",
       "10         2019-03-27T19:30:35+01:00  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_locs[[\"_id\", \"latitude\", \"longitude\", \"fmt_time\"]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get the raw motion activity, in case you want to do different segmentation ###"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_activity = ts.get_data_df(\"background/motion_activity\",\n",
    "                               esda.get_time_query_for_trip_like(\n",
    "                                   \"analysis/cleaned_section\", ct_df.iloc[0]._id))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['_id', 'confidence', 'fmt_time', 'local_dt_day', 'local_dt_hour',\n",
       "       'local_dt_minute', 'local_dt_month', 'local_dt_second',\n",
       "       'local_dt_timezone', 'local_dt_weekday', 'local_dt_year',\n",
       "       'metadata_write_ts', 'ts', 'type', 'user_id'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_activity.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 0 walking entries, 12 on_foot entries\n",
      "Found 0 motorized entries\n"
     ]
    }
   ],
   "source": [
    "import emission.core.wrapper.motionactivity as ecwm\n",
    "\n",
    "print(\"Found %d walking entries, %d on_foot entries\" % (len(all_activity[all_activity.type == ecwm.MotionTypes.WALKING.value]), \n",
    "                                    len(all_activity[all_activity.type == ecwm.MotionTypes.ON_FOOT.value])))\n",
    "print(\"Found %d motorized entries\" % (len(all_activity[all_activity.type == ecwm.MotionTypes.IN_VEHICLE.value])))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot the location points ###"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 11 features from 11 points\n",
      "Found 10 features from 10 points\n",
      "Found 5 features from 5 points\n",
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      "Points are  [[48.10444, -1.6720301], [48.1044294, -1.6719714], [48.1044367, -1.6719678], [48.1044186, -1.6719558], [48.1044593, -1.6719724]] ...\n",
      "Linestring is [[48.10444, -1.6720301], [48.1044294, -1.6719714], [48.1044367, -1.6719678], [48.1044186, -1.6719558], [48.1044593, -1.6719724]] ...\n",
      "Points are  [[48.10444, -1.6720301], [48.10447164423999, -1.672065108001709], [48.10441910771754, -1.6725722090722983], [48.10434219550308, -1.6731507830367516], [48.1043067, -1.6733677]] ...\n",
      "Linestring is [[48.10444, -1.6720301], [48.10447164423999, -1.672065108001709], [48.10441910771754, -1.6725722090722983], [48.10434219550308, -1.6731507830367516], [48.1043067, -1.6733677]] ...\n"
     ]
    }
   ],
   "source": [
    "map_list = lo.get_maps_for_geojson_unsectioned([gfc.get_feature_list_from_df(all_locs),\n",
    "                                                gfc.get_feature_list_from_df(filtered_locs),\n",
    "                                                gfc.get_feature_list_from_df(resampled_locs)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
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      ],
      "text/plain": [
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     },
     "execution_count": 35,
     "metadata": {},
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