{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "from hakai_api import Client\n",
    "import mercury as mr\n",
    "import pandas as pd \n",
    "import plotly.express as px\n",
    "import folium\n",
    "from folium.plugins import FastMarkerCluster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def get_hakai_ctd_data(crendentials, station, start_time,end_time, fields=['depth','start_dt']):\n",
    "    client = Client(credentials=crendentials or None)\n",
    "    url = ''.join(\n",
    "        f\"{client.api_root}/ctd/views/file/cast/data?\"\n",
    "        + f\"station={station}\"\n",
    "        + f\"&start_dt>{start_time}\"\n",
    "        + f\"&start_dt<{end_time}\"\n",
    "        + \"&direction_flag=d\"\n",
    "        + f\"&fields={','.join(fields)}\"\n",
    "        + \"&limit=-1\"\n",
    "    )\n",
    "    response = client.get(url)\n",
    "    return pd.DataFrame(response.json())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/mercury+json": {
       "allow_download": true,
       "code_uid": "App.0.40.24.1-rand86bf7fb9",
       "continuous_update": true,
       "description": "Generate  CTD plot",
       "full_screen": true,
       "model_id": "mercury-app",
       "notify": "{}",
       "output": "app",
       "schedule": "",
       "show_code": false,
       "show_prompt": false,
       "show_sidebar": true,
       "static_notebook": false,
       "title": "Hakai CTD",
       "widget": "App"
      },
      "text/html": [
       "<h3>Mercury Application</h3><small>This output won't appear in the web app.</small>"
      ],
      "text/plain": [
       "mercury.App"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "app = mr.App(title=\"Hakai CTD\", description=\"Generate  CTD plot\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/mercury+json": {
       "code_uid": "Text.0.40.15.1-rande7dc3296",
       "disabled": false,
       "hidden": false,
       "label": "Get hakai credentials from: https://hecate.hakai.org/api-client-login ",
       "model_id": "763f26e1588645a6be88ea5f0e7365b7",
       "rows": 1,
       "url_key": "",
       "value": "",
       "widget": "Text"
      },
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "763f26e1588645a6be88ea5f0e7365b7",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "mercury.Text"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/mercury+json": {
       "code_uid": "Text.0.40.15.2-rand371756ef",
       "disabled": false,
       "hidden": false,
       "label": "Select station",
       "model_id": "68b8f9f1579c4aad832f556c26e1da5d",
       "rows": 1,
       "url_key": "",
       "value": "QU39",
       "widget": "Text"
      },
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "68b8f9f1579c4aad832f556c26e1da5d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "mercury.Text"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/mercury+json": {
       "code_uid": "Text.0.40.15.4-rand97c51e12",
       "disabled": false,
       "hidden": false,
       "label": "Start Date (yyyy-mm-dd)",
       "model_id": "dd00bfb1602e4562babec58764561144",
       "rows": 1,
       "url_key": "",
       "value": "2022-01-01",
       "widget": "Text"
      },
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "dd00bfb1602e4562babec58764561144",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "mercury.Text"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/mercury+json": {
       "code_uid": "Text.0.40.15.5-rand7942cbc6",
       "disabled": false,
       "hidden": false,
       "label": "End Date   (yyyy-mm-dd)",
       "model_id": "9713b3cf48e046f1bbe6b9171c235863",
       "rows": 1,
       "url_key": "",
       "value": "2023-01-01",
       "widget": "Text"
      },
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9713b3cf48e046f1bbe6b9171c235863",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "mercury.Text"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "credentials = mr.Text(label=\"Get hakai credentials from: https://hecate.hakai.org/api-client-login \")\n",
    "station = mr.Text(value=\"QU39\", \n",
    "                   label=\"Select station\")\n",
    "start_time = mr.Text(value=\"2022-01-01\",label='Start Date (yyyy-mm-dd)')\n",
    "end_time = mr.Text(value=\"2023-01-01\",label='End Date   (yyyy-mm-dd)')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hakai CTD Data\n",
    "\n",
    "## Hakai Credentials\n",
    "Retrieve the hakai credentials from: https://hecate.hakai.org/api-client-login\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "fields= ['start_dt','depth','temperature','hakai_id','latitude','longitude']\n",
    "if not credentials.value:\n",
    "    df = pd.DataFrame({field: [] for field in fields})\n",
    "else:\n",
    "    df = get_hakai_ctd_data(credentials.value,station.value,start_time.value,end_time.value,fields=fields)\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
       "&lt;html&gt;\n",
       "&lt;head&gt;\n",
       "    \n",
       "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
       "    \n",
       "        &lt;script&gt;\n",
       "            L_NO_TOUCH = false;\n",
       "            L_DISABLE_3D = false;\n",
       "        &lt;/script&gt;\n",
       "    \n",
       "    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
       "    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n",
       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://code.jquery.com/jquery-1.12.4.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/js/bootstrap.bundle.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/css/bootstrap.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/@fortawesome/fontawesome-free@6.2.0/css/all.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
       "    \n",
       "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
       "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
       "            &lt;style&gt;\n",
       "                #map_f56af4cb7a841ab386847e98998337a5 {\n",
       "                    position: relative;\n",
       "                    width: 100.0%;\n",
       "                    height: 100.0%;\n",
       "                    left: 0.0%;\n",
       "                    top: 0.0%;\n",
       "                }\n",
       "                .leaflet-container { font-size: 1rem; }\n",
       "            &lt;/style&gt;\n",
       "        \n",
       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/1.1.0/leaflet.markercluster.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/1.1.0/MarkerCluster.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/1.1.0/MarkerCluster.Default.css&quot;/&gt;\n",
       "&lt;/head&gt;\n",
       "&lt;body&gt;\n",
       "    \n",
       "    \n",
       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_f56af4cb7a841ab386847e98998337a5&quot; &gt;&lt;/div&gt;\n",
       "        \n",
       "&lt;/body&gt;\n",
       "&lt;script&gt;\n",
       "    \n",
       "    \n",
       "            var map_f56af4cb7a841ab386847e98998337a5 = L.map(\n",
       "                &quot;map_f56af4cb7a841ab386847e98998337a5&quot;,\n",
       "                {\n",
       "                    center: [50.030581492632265, -125.09910690660254],\n",
       "                    crs: L.CRS.EPSG3857,\n",
       "                    zoom: 10,\n",
       "                    zoomControl: true,\n",
       "                    preferCanvas: false,\n",
       "                }\n",
       "            );\n",
       "\n",
       "            \n",
       "\n",
       "        \n",
       "    \n",
       "            var tile_layer_c938797c8ade05b4dbe061abc01c7c56 = L.tileLayer(\n",
       "                &quot;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
       "                {&quot;attribution&quot;: &quot;Data by \\u0026copy; \\u003ca target=\\&quot;_blank\\&quot; href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca target=\\&quot;_blank\\&quot; href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
       "            ).addTo(map_f56af4cb7a841ab386847e98998337a5);\n",
       "        \n",
       "    \n",
       "            var fast_marker_cluster_e44b795e7a7fbfccb9fbf84bf106eaeb = (function(){\n",
       "                \n",
       "                var callback = function (row) {\n",
       "                    var icon = L.AwesomeMarkers.icon();\n",
       "                    var marker = L.marker(new L.LatLng(row[0], row[1]));\n",
       "                    marker.setIcon(icon);\n",
       "                    return marker;\n",
       "                };\n",
       "\n",
       "                var data = [[50.029398, -125.0991973], [50.0263892, -125.0993239], [50.0303247, -125.0993557], [50.0313223, -125.0995902], [50.0309898, -125.1006668], [50.0307615, -125.0994912], [50.0303582, -125.0991277], [50.0289585, -125.0969205], [50.0305507, -125.1010429], [50.0337096, -125.1034109], [50.0307142, -125.0993634], [50.0302875, -125.0991925], [50.0312814, -125.0981894], [50.0302722, -125.0993098], [50.0324208, -125.0959889], [50.030861, -125.0991139], [50.0302225, -125.0999355], [50.031199, -125.0985314], [50.03112, -125.0996911], [50.0307291, -125.0996774], [50.0310491, -125.0988955], [50.030197, -125.0991641], [50.0308231, -125.0990821], [50.029841, -125.0972132], [50.0308456, -125.098488], [50.0285276, -125.0980886], [50.0298563, -125.0968674], [50.0297586, -125.1001835], [50.0304079, -125.099365], [50.0295493, -125.0985742], [50.0303243, -125.0997893], [50.0297121, -125.0997466], [50.030082, -125.0993015], [50.0321218, -125.0998232], [50.0363454, -125.0945745], [50.0301664, -125.0966203], [50.0292599, -125.0984362], [50.0298731, -125.0989308], [50.0303709, -125.09933], [50.0303026, -125.0984654], [50.0307179, -125.0999014], [50.0313633, -125.0994376], [50.030362, -125.1015495], [50.0298538, -125.0969672], [50.0325485, -125.0992338], [50.0334971, -125.1022862], [50.0312456, -125.1010785], [50.029904, -125.0996233], [50.0298991, -125.1001796], [50.0299178, -125.0979139], [50.0295637, -125.0995951], [50.0305636, -125.0984233], [50.030492, -125.0990432], [50.0299941, -125.0987483], [50.030457, -125.0988217]];\n",
       "                var cluster = L.markerClusterGroup({});\n",
       "\n",
       "                for (var i = 0; i &lt; data.length; i++) {\n",
       "                    var row = data[i];\n",
       "                    var marker = callback(row);\n",
       "                    marker.addTo(cluster);\n",
       "                }\n",
       "\n",
       "                cluster.addTo(map_f56af4cb7a841ab386847e98998337a5);\n",
       "                return cluster;\n",
       "            })();\n",
       "        \n",
       "&lt;/script&gt;\n",
       "&lt;/html&gt;\" 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 0x2817fb220>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "if not df.empty:\n",
    "    m = folium.Map(location=df[['latitude','longitude']].mean())\n",
    "    FastMarkerCluster(data=df.groupby('hakai_id').first()[['latitude','longitude']].dropna(axis=0).values).add_to(m)\n",
    "else:\n",
    "    m=None\n",
    "m"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "## Time-Series Profiles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "hovertemplate": "<b>%{hovertext}</b><br><br>start_dt=%{x}<br>depth=%{y}<br>temperature=%{marker.color}<extra></extra>",
         "hovertext": [
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             0.2222222222222222,
             "#7201a8"
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            [
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             "#9c179e"
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             0.4444444444444444,
             "#bd3786"
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            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
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           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "start_dt"
         }
        },
        "yaxis": {
         "anchor": "x",
         "autorange": "reversed",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "depth"
         }
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if not df.empty:\n",
    "    fig = px.scatter(df,x='start_dt',y='depth',color='temperature',hover_name='hakai_id')\n",
    "    fig.update_yaxes(autorange='reversed')\n",
    "else:\n",
    "    fig = None\n",
    "fig\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
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   "display_name": "base",
   "language": "python",
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    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.16"
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