{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "03c87582",
   "metadata": {},
   "source": [
    "# DES Hub Netbacks - Country Competitiveness Comparison\n",
    "\n",
    "This script is used to compare the regas terminal competitiveness, averaged by country, across Europe\n",
    "\n",
    "For a full explanation of how to import our DES Hub Netbacks data, please refer to our Python Jupyter Notebook Code Samples:\n",
    "\n",
    "https://www.sparkcommodities.com/api/code-examples/jupyter.html"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "21bd6181",
   "metadata": {},
   "source": [
    "### Have any questions?\n",
    "\n",
    "If you have any questions regarding our API, or need help accessing specific datasets, please contact us at:\n",
    "\n",
    "__data@sparkcommodities.com__\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0037c795",
   "metadata": {},
   "source": [
    "## 1. Importing Data\n",
    "\n",
    "Here we define the functions that allow us to retrieve the valid credentials to access the Spark API.\n",
    "\n",
    "This section can remain unchanged for most Spark API users."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "5cbcba1b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import libraries for callin the API\n",
    "import json\n",
    "import os\n",
    "import sys\n",
    "import pandas as pd\n",
    "from base64 import b64encode\n",
    "from urllib.parse import urljoin\n",
    "from pprint import pprint\n",
    "import requests\n",
    "from io import StringIO\n",
    "import time\n",
    "import numpy as np\n",
    "import datetime\n",
    "\n",
    "try:\n",
    "    from urllib import request, parse\n",
    "    from urllib.error import HTTPError\n",
    "except ImportError:\n",
    "    raise RuntimeError(\"Python 3 required\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "b7442d2b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# defining query functions \n",
    "API_BASE_URL = \"https://api.sparkcommodities.com\"\n",
    "\n",
    "\n",
    "\n",
    "def retrieve_credentials(file_path=None):\n",
    "    \"\"\"\n",
    "    Find credentials either by reading the client_credentials file or reading\n",
    "    environment variables\n",
    "    \"\"\"\n",
    "    if file_path is None:\n",
    "        client_id = os.getenv(\"SPARK_CLIENT_ID\")\n",
    "        client_secret = os.getenv(\"SPARK_CLIENT_SECRET\")\n",
    "        if not client_id or not client_secret:\n",
    "            raise RuntimeError(\n",
    "                \"SPARK_CLIENT_ID and SPARK_CLIENT_SECRET environment vars required\"\n",
    "            )\n",
    "    else:\n",
    "        # Parse the file\n",
    "        if not os.path.isfile(file_path):\n",
    "            raise RuntimeError(\"The file {} doesn't exist\".format(file_path))\n",
    "\n",
    "        with open(file_path) as fp:\n",
    "            lines = [l.replace(\"\\n\", \"\") for l in fp.readlines()]\n",
    "\n",
    "        if lines[0] in (\"clientId,clientSecret\", \"client_id,client_secret\"):\n",
    "            client_id, client_secret = lines[1].split(\",\")\n",
    "        else:\n",
    "            print(\"First line read: '{}'\".format(lines[0]))\n",
    "            raise RuntimeError(\n",
    "                \"The specified file {} doesn't look like to be a Spark API client \"\n",
    "                \"credentials file\".format(file_path)\n",
    "            )\n",
    "\n",
    "    print(\">>>> Found credentials!\")\n",
    "    print(\n",
    "        \">>>> Client_id={}****, client_secret={}****\".format(\n",
    "            client_id[:5], client_secret[:5]\n",
    "        )\n",
    "    )\n",
    "\n",
    "    return client_id, client_secret\n",
    "\n",
    "\n",
    "def do_api_post_query(uri, body, headers):\n",
    "    \"\"\"\n",
    "    OAuth2 authentication requires a POST request with client credentials before accessing the API. \n",
    "    This POST request will return an Access Token which will be used for the API GET request.\n",
    "    \"\"\"\n",
    "    url = urljoin(API_BASE_URL, uri)\n",
    "\n",
    "    data = json.dumps(body).encode(\"utf-8\")\n",
    "\n",
    "    # HTTP POST request\n",
    "    req = request.Request(url, data=data, headers=headers)\n",
    "    try:\n",
    "        response = request.urlopen(req)\n",
    "    except HTTPError as e:\n",
    "        print(\"HTTP Error: \", e.code)\n",
    "        print(e.read())\n",
    "        sys.exit(1)\n",
    "\n",
    "    resp_content = response.read()\n",
    "\n",
    "    # The server must return HTTP 201. Raise an error if this is not the case\n",
    "    assert response.status == 201, resp_content\n",
    "\n",
    "    # The server returned a JSON response\n",
    "    content = json.loads(resp_content)\n",
    "\n",
    "    return content\n",
    "\n",
    "\n",
    "def do_api_get_query(uri, access_token, format='json'):\n",
    "    \"\"\"\n",
    "    After receiving an Access Token, we can request information from the API.\n",
    "    \"\"\"\n",
    "    url = urljoin(API_BASE_URL, uri)\n",
    "    print(url)\n",
    "\n",
    "    if format == 'json':\n",
    "        headers = {\n",
    "            \"Authorization\": \"Bearer {}\".format(access_token),\n",
    "            \"Accept\": \"application/json\",\n",
    "        }\n",
    "    elif format == 'csv':\n",
    "        headers = {\n",
    "            \"Authorization\": \"Bearer {}\".format(access_token),\n",
    "            \"Accept\": \"text/csv\"\n",
    "        }\n",
    "\n",
    "    # HTTP POST request\n",
    "    req = request.Request(url, headers=headers)\n",
    "    try:\n",
    "        response = request.urlopen(req)\n",
    "    except HTTPError as e:\n",
    "        print(\"HTTP Error: \", e.code)\n",
    "        print(e.read())\n",
    "        sys.exit(1)\n",
    "\n",
    "    resp_content = response.read()\n",
    "    status = response.status\n",
    "    print(status)\n",
    "\n",
    "    # The server must return HTTP 201. Raise an error if this is not the case\n",
    "    assert response.status == 200, resp_content\n",
    "\n",
    "    # Storing response based on requested format\n",
    "    if format == 'json':\n",
    "        content = json.loads(resp_content)\n",
    "    elif format == 'csv':\n",
    "        content = resp_content\n",
    "\n",
    "    return content\n",
    "\n",
    "def get_access_token(client_id, client_secret):\n",
    "    \"\"\"\n",
    "    Get a new access_token. Access tokens are the thing that applications use to make\n",
    "    API requests. Access tokens must be kept confidential in storage.\n",
    "\n",
    "    # Procedure:\n",
    "\n",
    "    Do a POST query with `grantType` and `scopes` in the body. A basic authorization\n",
    "    HTTP header is required. The \"Basic\" HTTP authentication scheme is defined in\n",
    "    RFC 7617, which transmits credentials as `clientId:clientSecret` pairs, encoded\n",
    "    using base64.\n",
    "    \"\"\"\n",
    "\n",
    "    # Note: for the sake of this example, we choose to use the Python urllib from the\n",
    "    # standard lib. One should consider using https://requests.readthedocs.io/\n",
    "\n",
    "    payload = \"{}:{}\".format(client_id, client_secret).encode()\n",
    "    headers = {\n",
    "        \"Authorization\": b64encode(payload).decode(),\n",
    "        \"Accept\": \"application/json\",\n",
    "        \"Content-Type\": \"application/json\",\n",
    "    }\n",
    "    body = {\n",
    "        \"grantType\": \"clientCredentials\",\n",
    "        \"scopes\": \"read:access,read:prices\"\n",
    "    }\n",
    "\n",
    "    content = do_api_post_query(uri=\"/oauth/token/\", body=body, headers=headers)\n",
    "\n",
    "    print(\n",
    "        \">>>> Successfully fetched an access token {}****, valid {} seconds.\".format(\n",
    "            content[\"accessToken\"][:5], content[\"expiresIn\"]\n",
    "        )\n",
    "    )\n",
    "\n",
    "    return content[\"accessToken\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b4b250b",
   "metadata": {},
   "source": [
    "## N.B. Credentials\n",
    "\n",
    "Here we call the above functions, and input the file path to our credentials.\n",
    "\n",
    "N.B. You must have downloaded your client credentials CSV file before proceeding. Please refer to the API documentation if you have not dowloaded them already."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3ec2647c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      ">>>> Found credentials!\n",
      ">>>> Client_id=01c23****, client_secret=80763****\n",
      ">>>> Successfully fetched an access token eyJhb****, valid 604799 seconds.\n"
     ]
    }
   ],
   "source": [
    "# Insert file path to your client credentials here\n",
    "client_id, client_secret = retrieve_credentials(file_path=\"/tmp/client_credentials.csv\")\n",
    "\n",
    "# Authenticate:\n",
    "access_token = get_access_token(client_id, client_secret)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0328738",
   "metadata": {},
   "source": [
    "## 2. DES Hub Netbacks - Data Import\n",
    "\n",
    "Calling the DES Hub Netbacks data, and sorting into a Historical DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "35759cdd",
   "metadata": {},
   "outputs": [],
   "source": [
    "from io import StringIO\n",
    "\n",
    "## Defining the function\n",
    "\n",
    "def fetch_historical_price_releases(access_token, unit, latest=False, start=None, end=None, limit=None, offset=None, terminal_uuid=None, format='json'):\n",
    "    \n",
    "    # if latest=True, set query_params to call the \".../latest/\" endpoint\n",
    "    if latest == True:\n",
    "        query_params = 'latest/'\n",
    "        query_params += \"?unit={}\".format(unit)\n",
    "    \n",
    "    else:\n",
    "        query_params = \"?unit={}\".format(unit)\n",
    "\n",
    "    if start is not None:\n",
    "        query_params += \"&start={}\".format(start)\n",
    "    if end is not None:\n",
    "        query_params += \"&end={}\".format(end)\n",
    "    \n",
    "    if terminal_uuid is not None:\n",
    "        query_params += \"&terminal-uuid={}\".format(terminal_uuid)\n",
    "    \n",
    "\n",
    "    uri = \"/v1.0/lng/access/des-hub-netbacks/{}\".format(query_params)\n",
    "\n",
    "    content = do_api_get_query(\n",
    "        uri=uri, access_token=access_token, format=format\n",
    "    )\n",
    "\n",
    "    if format == 'json':\n",
    "        data = content\n",
    "    elif format == 'csv':\n",
    "        # if there's no data to show, returns raw response (empty string) and \"No Data to Show\" message\n",
    "        if len(content) == 0:\n",
    "            data = content\n",
    "            print('No Data to Show')\n",
    "        else:\n",
    "            data = content.decode('utf-8')\n",
    "            data = pd.read_csv(StringIO(data))  # automatically converting into a Pandas DataFrame when choosing CSV format\n",
    "\n",
    "    return data\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4aa81e2c",
   "metadata": {},
   "source": [
    "### Historical Data Function\n",
    "\n",
    "Currently, a maximum of 1 year's worth of historical data can be called at one time due to the size of the data file. \n",
    "\n",
    "If more data points are required, the below code can be used: the function calls the historical data 1 year at a time and combines the data into one Pandas DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "9fae6c01",
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime\n",
    "\n",
    "def loop_historical_data(token, hist_unit, hist_start, hist_end):\n",
    "    \n",
    "    hist_diff = (datetime.datetime.strptime(hist_end, '%Y-%m-%d') - datetime.datetime.strptime(hist_start, '%Y-%m-%d')).days\n",
    "    t = 0\n",
    "\n",
    "    starts = []\n",
    "    ends = []\n",
    "\n",
    "    w = 365\n",
    "\n",
    "    while t < hist_diff:\n",
    "        if t == 0:\n",
    "            diff_end = datetime.datetime.strftime(datetime.datetime.strptime(hist_start, '%Y-%m-%d') + pd.Timedelta(w, unit='days'), '%Y-%m-%d')\n",
    "            hist_df = fetch_historical_price_releases(access_token, unit=hist_unit, start=hist_start, end=diff_end, format='csv')\n",
    "\n",
    "            starts.append(hist_start)\n",
    "            ends.append(diff_end)\n",
    "\n",
    "        else:\n",
    "            if t < hist_diff-w:\n",
    "                diff_start = datetime.datetime.strftime(datetime.datetime.strptime(hist_start, '%Y-%m-%d') + pd.Timedelta(t+1, unit='days'), '%Y-%m-%d')\n",
    "                diff_end = datetime.datetime.strftime(datetime.datetime.strptime(diff_start, '%Y-%m-%d') + pd.Timedelta(w, unit='days'), '%Y-%m-%d')\n",
    "                historical_addition = fetch_historical_price_releases(access_token, unit=hist_unit, start=diff_start, end=diff_end, format='csv')\n",
    "                try:\n",
    "                    hist_df = pd.concat([hist_df,historical_addition])\n",
    "                #exception if hist_df is empty\n",
    "                except:\n",
    "                    hist_df = historical_addition.copy()\n",
    "                starts.append(hist_start)\n",
    "                ends.append(diff_end)\n",
    "            else:\n",
    "                diff_start = datetime.datetime.strftime(datetime.datetime.strptime(hist_start, '%Y-%m-%d') + pd.Timedelta(t+1, unit='days'), '%Y-%m-%d')\n",
    "                diff_end = datetime.datetime.strftime(datetime.datetime.strptime(diff_start, '%Y-%m-%d') + pd.Timedelta(hist_diff-t, unit='days'), '%Y-%m-%d')\n",
    "                historical_addition = fetch_historical_price_releases(access_token, unit=hist_unit, start=diff_start, end=diff_end, format='csv')\n",
    "                hist_df = pd.concat([hist_df, historical_addition])\n",
    "                starts.append(hist_start)\n",
    "                ends.append(diff_end)\n",
    "        \n",
    "        #looping by year\n",
    "        t += w\n",
    "\n",
    "    for c in list(hist_df.columns)[8:]:\n",
    "        hist_df[c] = pd.to_numeric(hist_df[c])\n",
    "    hist_df['ReleaseDate'] = pd.to_datetime(hist_df['ReleaseDate'])\n",
    "\n",
    "    return hist_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "8fcf6066",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "https://api.sparkcommodities.com/v1.0/lng/access/des-hub-netbacks/?unit=usd-per-mmbtu&start=2024-01-01&end=2024-12-31\n",
      "200\n",
      "https://api.sparkcommodities.com/v1.0/lng/access/des-hub-netbacks/?unit=usd-per-mmbtu&start=2025-01-01&end=2026-01-01\n",
      "200\n",
      "https://api.sparkcommodities.com/v1.0/lng/access/des-hub-netbacks/?unit=usd-per-mmbtu&start=2026-01-01&end=2026-01-11\n",
      "200\n"
     ]
    },
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       "      <td>0.036</td>\n",
       "      <td>0.300</td>\n",
       "      <td>0.028</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  ReleaseDate DeliveryMonth DeliveryMonthName DeliveryMonthIndex  \\\n",
       "0  2024-12-31    2025-02-01             Feb25                M+1   \n",
       "1  2024-12-31    2025-03-01             Mar25                M+2   \n",
       "2  2024-12-31    2025-04-01             Apr25                M+3   \n",
       "3  2024-12-31    2025-05-01             May25                M+4   \n",
       "4  2024-12-31    2025-06-01             Jun25                M+5   \n",
       "\n",
       "                           TerminalUUID   TerminalName  \\\n",
       "0  00317185-978a-4df5-970c-2c28d3ab893c  Isle of Grain   \n",
       "1  00317185-978a-4df5-970c-2c28d3ab893c  Isle of Grain   \n",
       "2  00317185-978a-4df5-970c-2c28d3ab893c  Isle of Grain   \n",
       "3  00317185-978a-4df5-970c-2c28d3ab893c  Isle of Grain   \n",
       "4  00317185-978a-4df5-970c-2c28d3ab893c  Isle of Grain   \n",
       "\n",
       "  GasHubPriceSourceFrontMonth GasHubPriceSourceForwardCurve  NetbackTTFBasis  \\\n",
       "0                           m                           ukd           -0.871   \n",
       "1                           m                           ukd           -1.139   \n",
       "2                           m                           ukd           -1.196   \n",
       "3                           m                           ukd           -1.262   \n",
       "4                           m                           ukd           -1.436   \n",
       "\n",
       "   NetbackOutright  ...  SlotBerth  SlotBerthUnloadStorageRegas  \\\n",
       "0           13.966  ...        NaN                          NaN   \n",
       "1           13.765  ...        NaN                          NaN   \n",
       "2           13.648  ...        NaN                          NaN   \n",
       "3           13.536  ...        NaN                          NaN   \n",
       "4           13.353  ...        NaN                          NaN   \n",
       "\n",
       "   SlotLtCapacityEstimate  AdditionalStorage  AdditionalSendout  \\\n",
       "0                   0.305                NaN                NaN   \n",
       "1                   0.305                NaN                NaN   \n",
       "2                   0.305                NaN                NaN   \n",
       "3                   0.305                NaN                NaN   \n",
       "4                   0.305                NaN                NaN   \n",
       "\n",
       "   FuelGasLossesGasInKind  EntryCapacity  Emissions  Power  EntryVariable  \n",
       "0                   0.231           0.48      0.036  0.228          0.028  \n",
       "1                   0.228           0.48      0.036  0.224          0.028  \n",
       "2                   0.226           0.48      0.036  0.195          0.028  \n",
       "3                   0.224           0.48      0.036  0.226          0.028  \n",
       "4                   0.223           0.48      0.036  0.300          0.028  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deshub_df = loop_historical_data(access_token, hist_unit='usd-per-mmbtu', hist_start='2024-01-01', hist_end='2026-01-10')\n",
    "deshub_df.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66b16cd0",
   "metadata": {},
   "source": [
    "# 3. SparkNWE & SparkSWE - Data Import\n",
    "\n",
    "Calling the SparkNWE & SparkSWE front month prices (in TTF basis format) to compare against the terminal DES Hub netbacks and determine which terminals are \"in the money\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "1c4262ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calling contracts endpoint to import cargo data\n",
    "def fetch_cargo_releases(access_token, ticker, limit=4, offset=None):\n",
    "\n",
    "    print(\">>>> Get price releases for {}\".format(ticker))\n",
    "\n",
    "    query_params = \"?limit={}\".format(limit)\n",
    "    if offset is not None:\n",
    "        query_params += \"&offset={}\".format(offset)\n",
    "\n",
    "    content = do_api_get_query(\n",
    "        uri=\"/v1.0/contracts/{}/price-releases/{}\".format(ticker, query_params),\n",
    "        access_token=access_token,\n",
    "    )\n",
    "\n",
    "    my_dict = content['data']\n",
    "    \n",
    "    return my_dict\n",
    "\n",
    "# Function to import data and then sort into a DataFrame\n",
    "def cargo_to_dataframe(access_token, ticker, limit, month):\n",
    "\n",
    "    # imports front month or forward curve prices, depending on the \"month\" user input\n",
    "    if month == 'M+1':\n",
    "        full_tick = ticker + '-b-f'\n",
    "        hist_data = fetch_cargo_releases(access_token, full_tick, limit)\n",
    "    else:\n",
    "        full_tick = ticker + '-b-fo'\n",
    "        hist_data = fetch_cargo_releases(access_token, full_tick, limit)\n",
    "         \n",
    "\n",
    "    release_dates = []\n",
    "    period_start = []\n",
    "    ticker = []\n",
    "    spark = []\n",
    "\n",
    "    spark_min = []\n",
    "    spark_max = []\n",
    "    cal_month = []\n",
    "\n",
    "    # iterating through historical data points to fetch relevant data\n",
    "    for release in hist_data:\n",
    "            release_date = release[\"releaseDate\"]\n",
    "            ticker.append(release['contractId'])\n",
    "            release_dates.append(release_date)\n",
    "\n",
    "            mi = int(month[-1])-2\n",
    "\n",
    "            data_point = release['data'][0]['dataPoints'][mi]\n",
    "\n",
    "            period_start_at = data_point[\"deliveryPeriod\"][\"startAt\"]\n",
    "            period_start.append(period_start_at)\n",
    "            \n",
    "            spark.append(data_point['derivedPrices']['usdPerMMBtu']['spark'])\n",
    "            spark_min.append(data_point['derivedPrices']['usdPerMMBtu']['sparkMin'])\n",
    "            spark_max.append(data_point['derivedPrices']['usdPerMMBtu']['sparkMax'])\n",
    "            \n",
    "            cal_month.append(datetime.datetime.strptime(period_start_at, '%Y-%m-%d').strftime('%b-%Y'))\n",
    "                \n",
    "\n",
    "    # Converting into DataFrame\n",
    "    hist_df = pd.DataFrame({\n",
    "        'Release Date': release_dates,\n",
    "        'ticker': ticker,\n",
    "        'Period Start': period_start,\n",
    "        'Price': spark,\n",
    "        })\n",
    "        \n",
    "    \n",
    "    hist_df['Price'] = pd.to_numeric(hist_df['Price'])\n",
    "    hist_df['Release Date'] = pd.to_datetime(hist_df['Release Date'])\n",
    "\n",
    "    hist_df['Release Date'] = hist_df['Release Date'].dt.tz_localize(None) \n",
    "\n",
    "    return hist_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7393260",
   "metadata": {},
   "source": [
    "# 4. Analysis\n",
    "\n",
    "- Input contract month required\n",
    "- Subtracting the SparkNWE/SWE prices from the DES Hub Netbacks to determine whether terminals are \"in\" or \"out of the money\".\n",
    "    - This will be labelled as the Moneyness metric\n",
    "- Averaging the Moneyness values by country to get a Moneyness metric for each country \n",
    "- Plotting how Country Moneyness metrics have evolved over time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "cfc1340d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Choose which forward month you'd like to analyse - either front month (\"M+1\") or any other month up until M+11\n",
    "month = 'M+1'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "1c4fe3ca",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      ">>>> Get price releases for sparknwe-b-f\n",
      "https://api.sparkcommodities.com/v1.0/contracts/sparknwe-b-f/price-releases/?limit=2000\n",
      "200\n",
      ">>>> Get price releases for sparkswe-b-f\n",
      "https://api.sparkcommodities.com/v1.0/contracts/sparkswe-b-f/price-releases/?limit=2000\n",
      "200\n"
     ]
    }
   ],
   "source": [
    "# Import NWE/SWE LNG prices\n",
    "sparknwe = cargo_to_dataframe(access_token, 'sparknwe', 2000, month=month)\n",
    "sparkswe = cargo_to_dataframe(access_token, 'sparkswe', 2000, month=month)\n",
    "\n",
    "# retrieve the same amount of historical data for SparkSWE as SparkNWE \n",
    "sparkswe = sparkswe[sparkswe['Release Date'] >= sparknwe['Release Date'].iloc[-1]].copy()\n",
    "\n",
    "# Combine datasets and backfill SWE data as needed (due to reduced assessment frequency)\n",
    "cargo_df = pd.merge(sparknwe, sparkswe, how='left', on='Release Date')\n",
    "cargo_df['Price_y'] = cargo_df['Price_y'].bfill().copy()\n",
    "\n",
    "cargo_df = cargo_df[['Release Date', 'Price_x', 'Price_y']].copy()\n",
    "cargo_df = cargo_df.rename(columns={'Price_x': 'SparkNWE',\n",
    "                                    'Price_y': 'SparkSWE'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "a7036e7a",
   "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>Release Date</th>\n",
       "      <th>SparkNWE</th>\n",
       "      <th>SparkSWE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2026-01-14</td>\n",
       "      <td>-0.570</td>\n",
       "      <td>-0.545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2026-01-13</td>\n",
       "      <td>-0.540</td>\n",
       "      <td>-0.545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2026-01-12</td>\n",
       "      <td>-0.520</td>\n",
       "      <td>-0.535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2026-01-09</td>\n",
       "      <td>-0.530</td>\n",
       "      <td>-0.535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2026-01-08</td>\n",
       "      <td>-0.545</td>\n",
       "      <td>-0.535</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Release Date  SparkNWE  SparkSWE\n",
       "0   2026-01-14    -0.570    -0.545\n",
       "1   2026-01-13    -0.540    -0.545\n",
       "2   2026-01-12    -0.520    -0.535\n",
       "3   2026-01-09    -0.530    -0.535\n",
       "4   2026-01-08    -0.545    -0.535"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cargo_df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "7f44cd95",
   "metadata": {},
   "outputs": [],
   "source": [
    "# retrieving a list of available terminals\n",
    "deshub_terms = list(deshub_df['TerminalName'].unique())\n",
    "\n",
    "# Defining which terminals belong to NWE or SWE, so that the relevant DES LNG price can be subtracted to calculate the terminals' Moneyness\n",
    "terminal_region_dict = {\n",
    "    'Gate': 'nwe',\n",
    "    'Isle of Grain': 'nwe',\n",
    "    'Zeebrugge': 'nwe',\n",
    "    'South Hook': 'nwe',\n",
    "    'Dunkerque': 'nwe',\n",
    "    'Le Havre': 'nwe',\n",
    "    'Montoir': 'nwe',\n",
    "    'EemsEnergyTerminal': 'nwe',\n",
    "    'Brunsbuttel': 'nwe',\n",
    "    'Deutsche Ostsee': 'nwe',\n",
    "    'Deutsche Ostsee Phase 1': 'nwe',\n",
    "    'Wilhelmshaven 1': 'nwe',\n",
    "    'Wilhelmshaven 2': 'nwe',\n",
    "    'Fos Cavaou': 'swe',\n",
    "    'Adriatic': 'swe',\n",
    "    'OLT Toscana': 'swe',\n",
    "    'Piombino': 'swe',\n",
    "    'Ravenna': 'swe',\n",
    "    'Spain TVB': 'swe'\n",
    "}\n",
    "\n",
    "# Defining list of terminals for each country, to use for Country Averaging\n",
    "terminal_country_dict = {\n",
    "    'Netherlands': ['Gate', 'EemsEnergyTerminal'],\n",
    "    'UK': ['Isle of Grain', 'South Hook'],\n",
    "    'Belgium': ['Zeebrugge'],\n",
    "    'France': ['Dunkerque', 'Le Havre', 'Montoir', 'Fos Cavaou'],\n",
    "    'Germany': ['Brunsbuttel', 'Deutsche Ostsee', 'Wilhelmshaven 1','Wilhelmshaven 2'],\n",
    "    'Italy': ['Adriatic', 'OLT Toscana', 'Piombino','Ravenna'],\n",
    "    'Spain': ['Spain TVB']\n",
    "}\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "f866d4b1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Setting which costs to consider sunk and using a boolean variable to control whether these costs are removed from the DES Hub Netback values\n",
    "\n",
    "sunk_bool = True\n",
    "\n",
    "sunk_costs_list = ['SlotUnloadStorageRegas','SlotBerth', 'SlotBerthUnloadStorageRegas', 'SlotLtCapacityEstimate']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "62688b87",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initialising the \"month\" dataframe, which uses the \"month\" user input to create a DataFrame with all the relevant DES Hub netbacks data for that month for each terminal\n",
    "# the Gate DES Hub Netbacks data is used to set the \"ReleaseDate\" and \"DeliveryMonthIndex\" columns as Gate has the longest historical dataset\n",
    "month_df = deshub_df[(deshub_df['TerminalName'] == 'Gate') & (deshub_df['DeliveryMonthIndex'] == month)][['ReleaseDate', 'DeliveryMonthIndex', 'NetbackTTFBasis']]\n",
    "\n",
    "# Removing sunk costs for Gate only\n",
    "if sunk_bool == True:\n",
    "    month_df['NetbackTTFBasis'] = month_df['NetbackTTFBasis'] +  \\\n",
    "        deshub_df[(deshub_df['TerminalName'] == 'Gate') & (deshub_df['DeliveryMonthIndex'] == month)][sunk_costs_list].sum(axis=1)\n",
    "\n",
    "month_df = month_df.rename(columns={'NetbackTTFBasis':'Gate'})\n",
    "\n",
    "# defining a new list of terminals without \"Gate\" in it\n",
    "terms2 = [x if x != 'Gate' else None for x in deshub_terms]\n",
    "\n",
    "# iterating through list of terminals and adding data to the Terminal Moneyness dataframe\n",
    "for t in terms2:\n",
    "    if t is not None:\n",
    "        tdf = deshub_df[(deshub_df['TerminalName'] == t) & (deshub_df['DeliveryMonthIndex'] == month)][['ReleaseDate', 'NetbackTTFBasis']]\n",
    "        if sunk_bool == True:\n",
    "            tdf['NetbackTTFBasis'] = tdf['NetbackTTFBasis'] +  \\\n",
    "            deshub_df[(deshub_df['TerminalName'] == t) & (deshub_df['DeliveryMonthIndex'] == month)][sunk_costs_list].sum(axis=1)\n",
    "        month_df = month_df.merge(tdf, on='ReleaseDate', how='left')\n",
    "        month_df = month_df.rename(columns={'NetbackTTFBasis':t})\n",
    "\n",
    "# Calculating the Average, Minimum and Maximum Moneyness values for all terminals (i.e. for Europe)\n",
    "month_df['Ave'] = month_df[deshub_terms].mean(axis=1)\n",
    "month_df['Min'] = month_df[deshub_terms].min(axis=1)\n",
    "month_df['Max'] = month_df[deshub_terms].max(axis=1)\n",
    "\n",
    "# Merging Cargo prices with the DataFrame, and backfilling data as needed so that the datasets are the same length (needed due to differing price release frequency)\n",
    "month_df = pd.merge(month_df,cargo_df, how='left', left_on='ReleaseDate', right_on='Release Date')\n",
    "month_df['SparkNWE'] = month_df['SparkNWE'].bfill().copy()\n",
    "month_df['SparkSWE'] = month_df['SparkSWE'].bfill().copy()\n",
    "\n",
    "month_df = month_df.sort_values('ReleaseDate', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "38ef8f5a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\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>ReleaseDate</th>\n",
       "      <th>DeliveryMonthIndex</th>\n",
       "      <th>Gate</th>\n",
       "      <th>Isle of Grain</th>\n",
       "      <th>Zeebrugge</th>\n",
       "      <th>Spain TVB</th>\n",
       "      <th>Dunkerque</th>\n",
       "      <th>Brunsbuttel</th>\n",
       "      <th>OLT Toscana</th>\n",
       "      <th>Le Havre</th>\n",
       "      <th>...</th>\n",
       "      <th>Deutsche Ostsee</th>\n",
       "      <th>Deutsche Ostsee Phase 1</th>\n",
       "      <th>Ravenna</th>\n",
       "      <th>Wilhelmshaven 2</th>\n",
       "      <th>Ave</th>\n",
       "      <th>Min</th>\n",
       "      <th>Max</th>\n",
       "      <th>Release Date</th>\n",
       "      <th>SparkNWE</th>\n",
       "      <th>SparkSWE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>507</th>\n",
       "      <td>2026-01-09</td>\n",
       "      <td>M+1</td>\n",
       "      <td>-0.412</td>\n",
       "      <td>-0.791</td>\n",
       "      <td>-0.183</td>\n",
       "      <td>-0.362</td>\n",
       "      <td>-0.345</td>\n",
       "      <td>0.246</td>\n",
       "      <td>0.542</td>\n",
       "      <td>-0.729</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.110</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.461</td>\n",
       "      <td>0.017</td>\n",
       "      <td>-0.139722</td>\n",
       "      <td>-0.791</td>\n",
       "      <td>0.598</td>\n",
       "      <td>2026-01-09</td>\n",
       "      <td>-0.530</td>\n",
       "      <td>-0.535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>508</th>\n",
       "      <td>2026-01-08</td>\n",
       "      <td>M+1</td>\n",
       "      <td>-0.412</td>\n",
       "      <td>-0.787</td>\n",
       "      <td>-0.181</td>\n",
       "      <td>-0.355</td>\n",
       "      <td>-0.346</td>\n",
       "      <td>0.222</td>\n",
       "      <td>0.545</td>\n",
       "      <td>-0.725</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.130</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.466</td>\n",
       "      <td>-0.004</td>\n",
       "      <td>-0.142556</td>\n",
       "      <td>-0.787</td>\n",
       "      <td>0.602</td>\n",
       "      <td>2026-01-08</td>\n",
       "      <td>-0.545</td>\n",
       "      <td>-0.535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>509</th>\n",
       "      <td>2026-01-07</td>\n",
       "      <td>M+1</td>\n",
       "      <td>-0.414</td>\n",
       "      <td>-0.754</td>\n",
       "      <td>-0.178</td>\n",
       "      <td>-0.357</td>\n",
       "      <td>-0.346</td>\n",
       "      <td>0.222</td>\n",
       "      <td>0.542</td>\n",
       "      <td>-0.735</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.136</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.460</td>\n",
       "      <td>-0.010</td>\n",
       "      <td>-0.141667</td>\n",
       "      <td>-0.754</td>\n",
       "      <td>0.598</td>\n",
       "      <td>2026-01-07</td>\n",
       "      <td>-0.540</td>\n",
       "      <td>-0.535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>510</th>\n",
       "      <td>2026-01-06</td>\n",
       "      <td>M+1</td>\n",
       "      <td>-0.414</td>\n",
       "      <td>-0.731</td>\n",
       "      <td>-0.182</td>\n",
       "      <td>-0.368</td>\n",
       "      <td>-0.348</td>\n",
       "      <td>0.209</td>\n",
       "      <td>0.546</td>\n",
       "      <td>-0.730</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.144</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.465</td>\n",
       "      <td>-0.017</td>\n",
       "      <td>-0.140833</td>\n",
       "      <td>-0.731</td>\n",
       "      <td>0.602</td>\n",
       "      <td>2026-01-06</td>\n",
       "      <td>-0.535</td>\n",
       "      <td>-0.535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>511</th>\n",
       "      <td>2026-01-05</td>\n",
       "      <td>M+1</td>\n",
       "      <td>-0.413</td>\n",
       "      <td>-0.757</td>\n",
       "      <td>-0.214</td>\n",
       "      <td>-0.283</td>\n",
       "      <td>-0.338</td>\n",
       "      <td>0.206</td>\n",
       "      <td>0.487</td>\n",
       "      <td>-0.716</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.144</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.408</td>\n",
       "      <td>-0.018</td>\n",
       "      <td>-0.151389</td>\n",
       "      <td>-0.757</td>\n",
       "      <td>0.544</td>\n",
       "      <td>2026-01-05</td>\n",
       "      <td>-0.535</td>\n",
       "      <td>-0.490</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    ReleaseDate DeliveryMonthIndex   Gate  Isle of Grain  Zeebrugge  \\\n",
       "507  2026-01-09                M+1 -0.412         -0.791     -0.183   \n",
       "508  2026-01-08                M+1 -0.412         -0.787     -0.181   \n",
       "509  2026-01-07                M+1 -0.414         -0.754     -0.178   \n",
       "510  2026-01-06                M+1 -0.414         -0.731     -0.182   \n",
       "511  2026-01-05                M+1 -0.413         -0.757     -0.214   \n",
       "\n",
       "     Spain TVB  Dunkerque  Brunsbuttel  OLT Toscana  Le Havre  ...  \\\n",
       "507     -0.362     -0.345        0.246        0.542    -0.729  ...   \n",
       "508     -0.355     -0.346        0.222        0.545    -0.725  ...   \n",
       "509     -0.357     -0.346        0.222        0.542    -0.735  ...   \n",
       "510     -0.368     -0.348        0.209        0.546    -0.730  ...   \n",
       "511     -0.283     -0.338        0.206        0.487    -0.716  ...   \n",
       "\n",
       "     Deutsche Ostsee  Deutsche Ostsee Phase 1  Ravenna  Wilhelmshaven 2  \\\n",
       "507           -0.110                      NaN    0.461            0.017   \n",
       "508           -0.130                      NaN    0.466           -0.004   \n",
       "509           -0.136                      NaN    0.460           -0.010   \n",
       "510           -0.144                      NaN    0.465           -0.017   \n",
       "511           -0.144                      NaN    0.408           -0.018   \n",
       "\n",
       "          Ave    Min    Max  Release Date  SparkNWE  SparkSWE  \n",
       "507 -0.139722 -0.791  0.598    2026-01-09    -0.530    -0.535  \n",
       "508 -0.142556 -0.787  0.602    2026-01-08    -0.545    -0.535  \n",
       "509 -0.141667 -0.754  0.598    2026-01-07    -0.540    -0.535  \n",
       "510 -0.140833 -0.731  0.602    2026-01-06    -0.535    -0.535  \n",
       "511 -0.151389 -0.757  0.544    2026-01-05    -0.535    -0.490  \n",
       "\n",
       "[5 rows x 27 columns]"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "month_df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "26c07bca",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creating a Moneyness dataframe, subtracting NWE/SWE prices from each terminals' DES Hub netbacks data.\n",
    "# The use of NWE or SWE prices for each terminal is set by the \"terminal_region_dict\" defined earlier in the script \n",
    "money_df = month_df[['ReleaseDate', 'DeliveryMonthIndex', 'SparkNWE', 'SparkSWE']].copy()\n",
    "\n",
    "for t in deshub_terms:\n",
    "    if terminal_region_dict[t] == 'nwe':\n",
    "        money_df[t] = month_df[t].copy() - month_df['SparkNWE'].copy()\n",
    "    elif terminal_region_dict[t] == 'swe':\n",
    "        money_df[t] = month_df[t].copy() - month_df['SparkSWE'].copy()\n",
    "    else:\n",
    "        money_df[t] = month_df[t].copy() - month_df['SparkNWE'].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "b53fb036",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Averaging the data by country using the \"terminal_country_dict\", and saving as a separate dataframe ('countries_df')\n",
    "countries = list(terminal_country_dict.keys())\n",
    "countries_df = money_df[['ReleaseDate', 'DeliveryMonthIndex']].copy()\n",
    "\n",
    "for c in countries:\n",
    "    countries_df[c + ' Ave'] = money_df[terminal_country_dict[c]].mean(axis=1)\n",
    "    countries_df[c + ' Min'] = money_df[terminal_country_dict[c]].min(axis=1)\n",
    "    countries_df[c + ' Max'] = money_df[terminal_country_dict[c]].max(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "8a91152f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Latest Assessment: 2026-01-09 00:00:00\n",
      "Germany = 0.5640000000000001\n",
      "UK = -0.22199999999999998\n",
      "France = 0.050000000000000044\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the Data for a subset of countries\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(15, 7))\n",
    "\n",
    "ax.hlines(0, countries_df['ReleaseDate'].iloc[-1], countries_df['ReleaseDate'].iloc[0], color='grey')\n",
    "\n",
    "# User input for which countries to plot, and associated plot colours\n",
    "my_countries = ['Germany', 'UK', 'France']\n",
    "colours = ['orange', 'firebrick', 'steelblue']\n",
    "\n",
    "print(\"Latest Assessment: \" + str(countries_df['ReleaseDate'].iloc[0]))\n",
    "\n",
    "cz = 0\n",
    "for c in my_countries:\n",
    "    ax.scatter(countries_df['ReleaseDate'].iloc[0],  countries_df[c + ' Ave'].iloc[0], color=colours[cz], marker='o', s=80)\n",
    "    print(c + ' = ' + str(countries_df[c + ' Ave'].iloc[0]))\n",
    "\n",
    "    ax.plot(countries_df['ReleaseDate'], countries_df[c + ' Ave'], linewidth=2.0, label=c, zorder=cz, color=colours[cz])\n",
    "    ax.plot(countries_df['ReleaseDate'], countries_df[c + ' Min'], linewidth=1.0, alpha=0.06, color=colours[cz])\n",
    "    ax.plot(countries_df['ReleaseDate'], countries_df[c + ' Max'], linewidth=1.0, alpha=0.06, color=colours[cz])\n",
    "    ax.fill_between(countries_df['ReleaseDate'], countries_df[c + ' Min'], countries_df[c + ' Max'], alpha=0.2, color=colours[cz])\n",
    "    cz+=1\n",
    "\n",
    "# Shading <0 area of the chart\n",
    "negrange = [countries_df['ReleaseDate'].iloc[-1] -pd.Timedelta(20, unit='day'), countries_df['ReleaseDate'].iloc[0] +pd.Timedelta(20, unit='day')]\n",
    "\n",
    "ax.plot(negrange,[-2.0,-2.0], color='red', alpha=0.05)\n",
    "ax.plot(negrange,[0,0], color='red', alpha=0.05)\n",
    "ax.fill_between(negrange, 0, -2.0, color='red', alpha=0.05)\n",
    "\n",
    "plt.xlim([countries_df['ReleaseDate'].iloc[-1]-pd.Timedelta(7, unit='day'), countries_df['ReleaseDate'].iloc[0]+pd.Timedelta(20, unit='day')])\n",
    "plt.ylim(-1.7, 1)\n",
    "\n",
    "plt.title('Country Average Moneyness & Range')\n",
    "plt.legend()\n",
    "plt.grid()\n",
    "\n",
    "sns.despine(left=True, bottom=True)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}