Repository: azogue/aiopvpc (language: python)

Issue:
get period for current time and add sensor attribute
Inspired on the getTariffPeriod function of danimart1991/pvpc-hourly-pricing-card and translated to python.
Add cheaper_hours attribute
Hi @azogue !

My first pull request in aiopvpc :tada: I'm becoming a developer at great speed!

This pull request creates the new attribute that calculates the number of hours cheaper than the current one in the current 24 hours period. I've added a condition to compare against the last 27 hours when the prices of the next day are available (since 21h until 23 of the next day). I hope you like it!

I've tested with my simple python script and it works:

```
$ python test.py 
0.10874
{'attribution': 'Data retrieved from api.esios.ree.es by REE', 'tariff': '2.0TD', 'period': 'P3', 'available_power': 3300.0, 'next_period': 'P2', 'hours_to_next_period': 56.0, 'price_ratio': 0.62, 'max_price': 0.11933, 'max_price_at': 22, 'min_price': 0.09121, 'min_price_at': 16, 'next_best_at': [16, 15, 17, 11, 12, 10, 14, 18, 13, 7, 6, 5, 9, 8, 4, 19, 2, 3, 1, 0, 20, 23, 21, 22], 'price_00h': 0.10874, 'price_01h': 0.10771, 'price_02h': 0.10682, 'price_03h': 0.1074, 'price_04h': 0.10476, 'price_05h': 0.10076, 'price_06h': 0.10073, 'price_07h': 0.10015, 'price_08h': 0.10432, 'price_09h': 0.10089, 'price_10h': 0.09604, 'price_11h': 0.09295, 'price_12h': 0.0936, 'price_13h': 0.09965, 'price_14h': 0.09623, 'price_15h': 0.09139, 'price_16h': 0.09121, 'price_17h': 0.09153, 'price_18h': 0.097, 'price_19h': 0.10544, 'price_20h': 0.11377, 'price_21h': 0.11817, 'price_22h': 0.11933, 'price_23h': 0.11685, 'cheaper_hours': 19}
```

Please, review it and consider integrate in the next version with the new advanced attributes :wink: 

Thank you much,
Raúl


Discussion / hints:
@azogue, not sure what you mean with "next_period_in (hours)", should be a decimal? Right now it returns an integer for that but could be hard to understand what means this attribute. This is what I get now:

![image](https://user-images.githubusercontent.com/10817653/120548233-66417580-c3f2-11eb-9118-e7ab2ee90605.png)



Fix patch:
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 4175627..fb93122 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,12 +1,12 @@
 minimum_pre_commit_version: "2.10.0"
 repos:
   - repo: https://github.com/psf/black
-    rev: "21.5b1"
+    rev: "21.6b0"
     hooks:
       - id: black
         name: Format code (black)
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: "v4.0.0"
+    rev: "v4.0.1"
     hooks:
       - id: end-of-file-fixer
       - id: trailing-whitespace
@@ -29,7 +29,7 @@ repos:
           - flake8-tidy-imports>=4.2.1
           - pep8-naming>=0.11.1
   - repo: "https://github.com/pre-commit/mirrors-mypy"
-    rev: "v0.812"
+    rev: "v0.902"
     hooks:
       - id: "mypy"
         name: "Check type hints (mypy)"
diff --git a/CHANGELOG.md b/CHANGELOG.md
index f244052..db29168 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,18 @@
 # Changelog
 
+## [v2.2.0](https://github.com/azogue/aiopvpc/tree/v2.2.0) - New sensor attributes for new tariff 2.0TD (2021-06-12)
+
+[Full Changelog](https://github.com/azogue/aiopvpc/compare/v2.2.0...v2.1.2)
+
+**Changes:**
+
+* Determine tariff period (P1/P2/P3) for current hour, and calculate the delta hours to the next one, publishing attributes `period`, `next_period`, and `hours_to_next_period`
+* Add `price_ratio`, `max_price`, and `max_price_at` attributes
+* When there are cheaper prices ahead, add attributes `next_better_price`, `hours_to_better_price`, and `num_better_prices_ahead`
+* Add `price_position` attribute (1 for cheaper price, 24 for the most high-priced), as suggested by @r-jordan in #23
+* Add contracted power in kW as new parameters (power for P1/P2 and power for P3) to show the `available_power` for each period
+* Use `holidays` library to retrieve national holidays where to apply the valley period P3 for the full day
+
 ## [v2.1.2](https://github.com/azogue/aiopvpc/tree/v2.1.2) - Quick adapt to new tariff 2.0TD (2021-05-31)
 
 [Full Changelog](https://github.com/azogue/aiopvpc/compare/v2.1.2...v2.1.1)
diff --git a/Notebooks/Download PVPC prices.ipynb b/Notebooks/Download PVPC prices.ipynb
index ac9ecd7..9644d0d 100644
--- a/Notebooks/Download PVPC prices.ipynb
+++ b/Notebooks/Download PVPC prices.ipynb
@@ -17,32 +17,32 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Download of 978 prices from 2020-03-20 21:00:00+00:00 to 2020-04-30 14:00:00+00:00 in 0.41 sec\n"
+      "Download of 883 prices from 2021-05-01 20:00:00+00:00 to 2021-06-07 14:00:00+00:00 in 0.16 sec\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "[(datetime.datetime(2020, 3, 20, 21, 0, tzinfo=zoneinfo.ZoneInfo(key='UTC')),\n",
-       "  0.04135),\n",
-       " (datetime.datetime(2020, 3, 20, 22, 0, tzinfo=zoneinfo.ZoneInfo(key='UTC')),\n",
-       "  0.03808),\n",
-       " (datetime.datetime(2020, 3, 20, 23, 0, tzinfo=zoneinfo.ZoneInfo(key='UTC')),\n",
-       "  0.03819),\n",
-       " (datetime.datetime(2020, 3, 21, 0, 0, tzinfo=zoneinfo.ZoneInfo(key='UTC')),\n",
-       "  0.03557),\n",
-       " (datetime.datetime(2020, 3, 21, 1, 0, tzinfo=zoneinfo.ZoneInfo(key='UTC')),\n",
-       "  0.0389),\n",
-       " (datetime.datetime(2020, 3, 21, 2, 0, tzinfo=zoneinfo.ZoneInfo(key='UTC')),\n",
-       "  0.0395),\n",
-       " (datetime.datetime(2020, 3, 21, 3, 0, tzinfo=zoneinfo.ZoneInfo(key='UTC')),\n",
-       "  0.04007),\n",
-       " (datetime.datetime(2020, 3, 21, 4, 0, tzinfo=zoneinfo.ZoneInfo(key='UTC')),\n",
-       "  0.04016),\n",
-       " (datetime.datetime(2020, 3, 21, 5, 0, tzinfo=zoneinfo.ZoneInfo(key='UTC')),\n",
-       "  0.0409),\n",
-       " (datetime.datetime(2020, 3, 21, 6, 0, tzinfo=zoneinfo.ZoneInfo(key='UTC')),\n",
-       "  0.03734)]"
+       "[(datetime.datetime(2021, 5, 1, 20, 0, tzinfo=zoneinfo.ZoneInfo(key='UTC')),\n",
+       "  0.1708),\n",
+       " (datetime.datetime(2021, 5, 1, 21, 0, tzinfo=zoneinfo.ZoneInfo(key='UTC')),\n",
+       "  0.09135),\n",
+       " (datetime.datetime(2021, 5, 1, 22, 0, tzinfo=zoneinfo.ZoneInfo(key='UTC')),\n",
+       "  0.08392),\n",
+       " (datetime.datetime(2021, 5, 1, 23, 0, tzinfo=zoneinfo.ZoneInfo(key='UTC')),\n",
+       "  0.08088),\n",
+       " (datetime.datetime(2021, 5, 2, 0, 0, tzinfo=zoneinfo.ZoneInfo(key='UTC')),\n",
+       "  0.0818),\n",
+       " (datetime.datetime(2021, 5, 2, 1, 0, tzinfo=zoneinfo.ZoneInfo(key='UTC')),\n",
+       "  0.08288),\n",
+       " (datetime.datetime(2021, 5, 2, 2, 0, tzinfo=zoneinfo.ZoneInfo(key='UTC')),\n",
+       "  0.08327),\n",
+       " (datetime.datetime(2021, 5, 2, 3, 0, tzinfo=zoneinfo.ZoneInfo(key='UTC')),\n",
+       "  0.08336),\n",
+       " (datetime.datetime(2021, 5, 2, 4, 0, tzinfo=zoneinfo.ZoneInfo(key='UTC')),\n",
+       "  0.08684),\n",
+       " (datetime.datetime(2021, 5, 2, 5, 0, tzinfo=zoneinfo.ZoneInfo(key='UTC')),\n",
+       "  0.0833)]"
       ]
      },
      "execution_count": 1,
@@ -53,14 +53,14 @@
    "source": [
     "from datetime import datetime\n",
     "\n",
-    "from aiopvpc import PVPCData, REFERENCE_TZ\n",
+    "from aiopvpc.pvpc_data import PVPCData, REFERENCE_TZ\n",
     "\n",
     "# Initialize PVPC handler\n",
-    "pvpc_handler = PVPCData(tariff=\"discrimination\")\n",
+    "pvpc_handler = PVPCData(tariff=\"discrimination\", zone_ceuta_melilla=False)\n",
     "\n",
     "# download prices in range\n",
-    "start = datetime(2020, 3, 20, 22, tzinfo=REFERENCE_TZ)\n",
-    "end = datetime(2020, 4, 30, 16, tzinfo=REFERENCE_TZ)\n",
+    "start = datetime(2021, 5, 1, 22, tzinfo=REFERENCE_TZ)\n",
+    "end = datetime(2021, 6, 7, 16, tzinfo=REFERENCE_TZ)\n",
     "\n",
     "prices_range: dict = await pvpc_handler.async_download_prices_for_range(start, end)\n",
     "\n",
@@ -91,8 +91,6 @@
     "import matplotlib.pyplot as plt\n",
     "import pandas as pd\n",
     "\n",
-    "from aiopvpc import REFERENCE_TZ\n",
-    "\n",
     "\n",
     "# plot series as filled step graph\n",
     "def plot_data(\n",
@@ -163,18 +161,18 @@
     {
      "data": {
       "text/plain": [
-       "2020-03-20 21:00:00+00:00    0.04135\n",
-       "2020-03-20 22:00:00+00:00    0.03808\n",
-       "2020-03-20 23:00:00+00:00    0.03819\n",
-       "2020-03-21 00:00:00+00:00    0.03557\n",
-       "2020-03-21 01:00:00+00:00    0.03890\n",
+       "2021-05-01 20:00:00+00:00    0.17080\n",
+       "2021-05-01 21:00:00+00:00    0.09135\n",
+       "2021-05-01 22:00:00+00:00    0.08392\n",
+       "2021-05-01 23:00:00+00:00    0.08088\n",
+       "2021-05-02 00:00:00+00:00    0.08180\n",
        "                              ...   \n",
-       "2020-04-30 10:00:00+00:00    0.01854\n",
-       "2020-04-30 11:00:00+00:00    0.08192\n",
-       "2020-04-30 12:00:00+00:00    0.07901\n",
-       "2020-04-30 13:00:00+00:00    0.07944\n",
-       "2020-04-30 14:00:00+00:00    0.07943\n",
-       "Name: price_€_kWh, Length: 978, dtype: float64"
+       "2021-06-07 10:00:00+00:00    0.23198\n",
+       "2021-06-07 11:00:00+00:00    0.23150\n",
+       "2021-06-07 12:00:00+00:00    0.13706\n",
+       "2021-06-07 13:00:00+00:00    0.13554\n",
+       "2021-06-07 14:00:00+00:00    0.13540\n",
+       "Name: price_€_kWh, Length: 883, dtype: float64"
       ]
      },
      "metadata": {},
@@ -182,7 +180,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 1152x504 with 1 Axes>"
       ]
@@ -190,7 +188,7 @@
      "metadata": {
       "image/png": {
        "height": 422,
-       "width": 944
+       "width": 945
       }
      },
      "output_type": "display_data"
@@ -210,7 +208,7 @@
     "    plot_style=\"seaborn-white\",\n",
     "    date_fmt=\"%-d/%b\\'%y\",\n",
     "    max_xticks=10,\n",
-    "    title=\"PVPC (discriminación)\",\n",
+    "    title=\"PVPC (discriminación -> 2.0TD)\",\n",
     ")\n",
     "plt.show()"
    ]
@@ -234,7 +232,7 @@
      "output_type": "stream",
      "text": [
       "Collecting detailed PVPC data for all tariffs\n",
-      "Download of 978 prices from 2020-03-20 23:00:00+00:00 to 2020-04-30 16:00:00+00:00 in 0.66 sec\n"
+      "Download of 978 prices from 2020-03-20 23:00:00+00:00 to 2020-04-30 16:00:00+00:00 in 0.33 sec\n"
      ]
     },
     {
@@ -908,6 +906,305 @@
     "subset_noc.plot(figsize=(20, 12));"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Download of 145 prices from 2021-05-31 22:00:00+00:00 to 2021-06-06 22:00:00+00:00 in 1.21 sec\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "{'PCB': 116.33,\n",
+       " 'CYM': 116.33,\n",
+       " 'COF2TD': 8.8075182e-05,\n",
+       " 'PMHPCB': 104.0,\n",
+       " 'PMHCYM': 104.0,\n",
+       " 'SAHPCB': 3.56,\n",
+       " 'SAHCYM': 3.56,\n",
+       " 'FOMPCB': 0.03,\n",
+       " 'FOMCYM': 0.03,\n",
+       " 'FOSPCB': 0.17,\n",
+       " 'FOSCYM': 0.17,\n",
+       " 'INTPCB': 0.0,\n",
+       " 'INTCYM': 0.0,\n",
+       " 'PCAPPCB': 0.0,\n",
+       " 'PCAPCYM': 0.0,\n",
+       " 'TEUPCB': 6.0,\n",
+       " 'TEUCYM': 6.0,\n",
+       " 'CCVPCB': 2.57,\n",
+       " 'CCVCYM': 2.57,\n",
+       " 'EDSRPCB': 0.0,\n",
+       " 'EDSRCYM': 0.0}"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# download prices in range\n",
+    "start = datetime(2021, 6, 1)\n",
+    "end = datetime(2021, 6, 7)\n",
+    "\n",
+    "prices_data: dict = await full_pvpc_handler.async_download_prices_for_range(start, end)\n",
+    "\n",
+    "# Example of detailed data\n",
+    "prices_data[min(prices_data)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "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>PCB</th>\n",
+       "      <th>PMHPCB</th>\n",
+       "      <th>SAHPCB</th>\n",
+       "      <th>FOMPCB</th>\n",
+       "      <th>FOSPCB</th>\n",
+       "      <th>INTPCB</th>\n",
+       "      <th>PCAPPCB</th>\n",
+       "      <th>TEUPCB</th>\n",
+       "      <th>CCVPCB</th>\n",
+       "      <th>EDSRPCB</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2021-05-31 22:00:00+00:00</th>\n",
+       "      <td>116.33</td>\n",
+       "      <td>104.00</td>\n",
+       "      <td>3.56</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>0.17</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>6.00</td>\n",
+       "      <td>2.57</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2021-05-31 23:00:00+00:00</th>\n",
+       "      <td>115.95</td>\n",
+       "      <td>103.18</td>\n",
+       "      <td>3.99</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>0.17</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>6.00</td>\n",
+       "      <td>2.58</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2021-06-01 00:00:00+00:00</th>\n",
+       "      <td>114.89</td>\n",
+       "      <td>101.87</td>\n",
+       "      <td>4.25</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>0.17</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>6.00</td>\n",
+       "      <td>2.56</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2021-06-01 01:00:00+00:00</th>\n",
+       "      <td>114.96</td>\n",
+       "      <td>102.01</td>\n",
+       "      <td>4.19</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>0.17</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>6.00</td>\n",
+       "      <td>2.57</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2021-06-01 02:00:00+00:00</th>\n",
+       "      <td>114.84</td>\n",
+       "      <td>101.87</td>\n",
+       "      <td>4.21</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>0.17</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>6.00</td>\n",
+       "      <td>2.56</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2021-06-04 17:00:00+00:00</th>\n",
+       "      <td>236.58</td>\n",
+       "      <td>93.83</td>\n",
+       "      <td>4.93</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>0.17</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2.04</td>\n",
+       "      <td>133.12</td>\n",
+       "      <td>2.46</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2021-06-04 18:00:00+00:00</th>\n",
+       "      <td>238.32</td>\n",
+       "      <td>94.46</td>\n",
+       "      <td>5.99</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>0.17</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2.06</td>\n",
+       "      <td>133.12</td>\n",
+       "      <td>2.49</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2021-06-04 19:00:00+00:00</th>\n",
+       "      <td>239.39</td>\n",
+       "      <td>96.53</td>\n",
+       "      <td>4.96</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>0.17</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2.07</td>\n",
+       "      <td>133.12</td>\n",
+       "      <td>2.51</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2021-06-04 20:00:00+00:00</th>\n",
+       "      <td>144.42</td>\n",
+       "      <td>94.32</td>\n",
+       "      <td>5.31</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>0.17</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.35</td>\n",
+       "      <td>41.77</td>\n",
+       "      <td>2.47</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2021-06-04 21:00:00+00:00</th>\n",
+       "      <td>140.65</td>\n",
+       "      <td>88.84</td>\n",
+       "      <td>7.07</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>0.17</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.35</td>\n",
+       "      <td>41.77</td>\n",
+       "      <td>2.42</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>96 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                              PCB  PMHPCB  SAHPCB  FOMPCB  FOSPCB  INTPCB  \\\n",
+       "2021-05-31 22:00:00+00:00  116.33  104.00    3.56    0.03    0.17     0.0   \n",
+       "2021-05-31 23:00:00+00:00  115.95  103.18    3.99    0.03    0.17     0.0   \n",
+       "2021-06-01 00:00:00+00:00  114.89  101.87    4.25    0.03    0.17     0.0   \n",
+       "2021-06-01 01:00:00+00:00  114.96  102.01    4.19    0.03    0.17     0.0   \n",
+       "2021-06-01 02:00:00+00:00  114.84  101.87    4.21    0.03    0.17     0.0   \n",
+       "...                           ...     ...     ...     ...     ...     ...   \n",
+       "2021-06-04 17:00:00+00:00  236.58   93.83    4.93    0.03    0.17     0.0   \n",
+       "2021-06-04 18:00:00+00:00  238.32   94.46    5.99    0.03    0.17     0.0   \n",
+       "2021-06-04 19:00:00+00:00  239.39   96.53    4.96    0.03    0.17     0.0   \n",
+       "2021-06-04 20:00:00+00:00  144.42   94.32    5.31    0.03    0.17     0.0   \n",
+       "2021-06-04 21:00:00+00:00  140.65   88.84    7.07    0.03    0.17     0.0   \n",
+       "\n",
+       "                           PCAPPCB  TEUPCB  CCVPCB  EDSRPCB  \n",
+       "2021-05-31 22:00:00+00:00     0.00    6.00    2.57      0.0  \n",
+       "2021-05-31 23:00:00+00:00     0.00    6.00    2.58      0.0  \n",
+       "2021-06-01 00:00:00+00:00     0.00    6.00    2.56      0.0  \n",
+       "2021-06-01 01:00:00+00:00     0.00    6.00    2.57      0.0  \n",
+       "2021-06-01 02:00:00+00:00     0.00    6.00    2.56      0.0  \n",
+       "...                            ...     ...     ...      ...  \n",
+       "2021-06-04 17:00:00+00:00     2.04  133.12    2.46      0.0  \n",
+       "2021-06-04 18:00:00+00:00     2.06  133.12    2.49      0.0  \n",
+       "2021-06-04 19:00:00+00:00     2.07  133.12    2.51      0.0  \n",
+       "2021-06-04 20:00:00+00:00     0.35   41.77    2.47      0.0  \n",
+       "2021-06-04 21:00:00+00:00     0.35   41.77    2.42      0.0  \n",
+       "\n",
+       "[96 rows x 10 columns]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
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AAIDtkOG6rtvoQgAAAAAAAAAAAAAAAAAYPLPRBQAAAAAAAAAAAAAAAAAwNCT9AAAAAAAAAAAAAAAAAE2GpB8AAAAAAAAAAAAAAACgyZD0AwAAAAAAAAAAAAAAADQZkn4AAAAAAAAAAAAAAACAJkPSDwAAAAAAAAAAAAAAANBkSPoBAAAAAAAAAAAAAAAAmgxJPwAAAAAAAAAAAAAAAECTIekHAAAAAAAAAAAAAAAAaDIk/QAAAAAAAAAAAAAAAABNhqQfAAAAAAAAAAAAAAAAoMmQ9AMAAAAAAAAAAAAAAAA0GZJ+AAAAAAAAAAAAAAAAgCZD0g8AAAAAAAAAAAAAAADQZEj6AQAAAAAAAAAAAAAAAJoMST8AAAAAAAAAAAAAAABAkyHpBwAAAAAAAAAAAAAAAGgy/z9B/dBNOsDrcgAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 1440x864 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 701,
+       "width": 1150
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# show some details\n",
+    "df_pvpc = pd.DataFrame(prices_data).T\n",
+    "subset_noc = df_pvpc.iloc[:96].T[df_pvpc.columns.str.endswith(\"PCB\")].T\n",
+    "display(subset_noc)\n",
+    "\n",
+    "subset_noc.plot(figsize=(20, 12));"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
diff --git a/Notebooks/sample_pvpc_plot.png b/Notebooks/sample_pvpc_plot.png
index ee8b0e2..023a2d1 100644
Binary files a/Notebooks/sample_pvpc_plot.png and b/Notebooks/sample_pvpc_plot.png differ
diff --git a/README.md b/README.md
index c9f9e05..42b3952 100644
--- a/README.md
+++ b/README.md
@@ -18,13 +18,14 @@ Install with `pip install aiopvpc` or clone it to run tests or anything else.
 
 ## Usage
 
-```
+```python
+from datetime import datetime
 from aiopvpc import PVPCData
 
-pvpc_handler = PVPCData(tariff="discrimination")
+pvpc_handler = PVPCData(tariff="discrimination", zone_ceuta_melilla=False)
 
-start = datetime(2020, 3, 20, 22)
-end = datetime(2020, 4, 30, 16)
+start = datetime(2021, 5, 20, 22)
+end = datetime(2021, 6, 7, 16)
 prices_range: dict = await pvpc_handler.async_download_prices_for_range(start, end)
 ```
 
diff --git a/aiopvpc/__init__.py b/aiopvpc/__init__.py
index 519c787..5891c92 100644
--- a/aiopvpc/__init__.py
+++ b/aiopvpc/__init__.py
@@ -1,22 +1,4 @@
 """Simple aio library to download Spanish electricity hourly prices."""
-from .pvpc_data import PVPCData
-from .pvpc_download import (
-    DEFAULT_TIMEOUT,
-    ESIOS_TARIFFS,
-    extract_pvpc_data,
-    get_url_for_daily_json,
-    REFERENCE_TZ,
-    TARIFF_KEYS,
-    TARIFFS,
-)
+from .pvpc_data import DEFAULT_POWER_KW, PVPCData, TARIFFS
 
-__all__ = (
-    "DEFAULT_TIMEOUT",
-    "ESIOS_TARIFFS",
-    "extract_pvpc_data",
-    "get_url_for_daily_json",
-    "PVPCData",
-    "REFERENCE_TZ",
-    "TARIFF_KEYS",
-    "TARIFFS",
-)
+__all__ = ("DEFAULT_POWER_KW", "PVPCData", "TARIFFS")
diff --git a/aiopvpc/const.py b/aiopvpc/const.py
new file mode 100644
index 0000000..0f1b908
--- /dev/null
+++ b/aiopvpc/const.py
@@ -0,0 +1,38 @@
+"""
+Simple aio library to download Spanish electricity hourly prices. Constants.
+"""
+import sys
+from datetime import date
+
+if sys.version_info[:2] >= (3, 9):  # pragma: no cover
+    import zoneinfo  # pylint: disable=import-error
+else:  # pragma: no cover
+    from backports import zoneinfo  # type: ignore
+
+DATE_CHANGE_TO_20TD = date(2021, 6, 1)
+
+# Tariffs as internal keys in esios API data
+TARIFF_20TD_IDS = ["PCB", "CYM"]
+OLD_TARIFS_IDS = ["GEN", "NOC", "VHC"]
+
+# Tariff names used in HomeAssistant integration
+TARIFFS = ["2.0TD", "2.0TD (Ceuta/Melilla)"]
+OLD_TARIFFS = ["normal", "discrimination", "electric_car"]
+
+TARIFF2ID = dict(zip(TARIFFS, TARIFF_20TD_IDS))
+OLD_TARIFF2ID = dict(zip(OLD_TARIFFS, OLD_TARIFS_IDS))
+
+# Contracted power
+DEFAULT_POWER_KW = 3.3
+
+# Prices are given in 0 to 24h sets, adjusted to the main timezone in Spain
+REFERENCE_TZ = zoneinfo.ZoneInfo("Europe/Madrid")
+UTC_TZ = zoneinfo.ZoneInfo("UTC")
+
+DEFAULT_TIMEOUT = 5
+PRICE_PRECISION = 5
+URL_PVPC_RESOURCE = (
+    "https://api.esios.ree.es/archives/70/download_json"
+    "?locale=es&date={day:%Y-%m-%d}"
+)
+ATTRIBUTION = "Data retrieved from api.esios.ree.es by REE"
diff --git a/aiopvpc/pvpc_data.py b/aiopvpc/pvpc_data.py
index c8c2622..a5a5711 100644
--- a/aiopvpc/pvpc_data.py
+++ b/aiopvpc/pvpc_data.py
@@ -13,21 +13,22 @@
 
 import aiohttp
 import async_timeout
+import holidays
 
-from aiopvpc.pvpc_download import (
+from aiopvpc.const import (
+    ATTRIBUTION,
     DATE_CHANGE_TO_20TD,
+    DEFAULT_POWER_KW,
     DEFAULT_TIMEOUT,
-    extract_pvpc_data,
-    get_url_for_daily_json,
+    OLD_TARIFF2ID,
+    OLD_TARIFFS,
     REFERENCE_TZ,
-    TARIFF_KEYS,
-    TARIFF_KEYS_NEW,
-    TARIFFS_NEW,
+    TARIFF2ID,
+    TARIFFS,
     UTC_TZ,
     zoneinfo,
 )
-
-_ATTRIBUTION = "Data retrieved from api.esios.ree.es by REE"
+from aiopvpc.pvpc_download import extract_pvpc_data, get_url_for_daily_json
 
 
 def _ensure_utc_time(ts: datetime):
@@ -38,6 +39,103 @@ def _ensure_utc_time(ts: datetime):
     return ts
 
 
+def _tariff_period_key(local_ts: datetime, zone_ceuta_melilla: bool) -> str:
+    """Return period key (P1/P2/P3) for current hour."""
+    day = local_ts.date()
+    # TODO review 'festivos nacionales no sustituibles de fecha fija', + 6/1
+    # TODO review Viernes Santo en holidays library
+    national_holiday = day in holidays.Spain(observed=False, years=day.year).keys()
+    if national_holiday or day.isoweekday() >= 6 or local_ts.hour < 8:
+        return "P3"
+    elif zone_ceuta_melilla and local_ts.hour in (8, 9, 10, 15, 16, 17, 18, 23):
+        return "P2"
+    elif not zone_ceuta_melilla and local_ts.hour in (8, 9, 14, 15, 16, 17, 22, 23):
+        return "P2"
+    return "P1"
+
+
+def _get_current_and_next_tariff_periods(
+    local_ts: datetime, zone_ceuta_melilla: bool
+) -> Tuple[str, str, timedelta]:
+    current_period = _tariff_period_key(local_ts, zone_ceuta_melilla)
+    delta = timedelta(hours=1)
+    while (
+        next_period := _tariff_period_key(local_ts + delta, zone_ceuta_melilla)
+    ) == current_period:
+        delta += timedelta(hours=1)
+    return current_period, next_period, delta
+
+
+def _make_sensor_attributes(
+    current_prices: Dict[datetime, float],
+    utc_time: datetime,
+    timezone: zoneinfo.ZoneInfo,
+    zone_ceuta_melilla: bool,
+    power: int,
+    power_valley: int,
+) -> Dict[str, Any]:
+    attributes: Dict[str, Any] = {}
+    current_price = current_prices[utc_time]
+    local_time = utc_time.astimezone(timezone)
+    current_period, next_period, delta = _get_current_and_next_tariff_periods(
+        local_time, zone_ceuta_melilla
+    )
+    attributes["period"] = current_period
+    attributes["available_power"] = power_valley if current_period == "P3" else power
+    attributes["next_period"] = next_period
+    attributes["hours_to_next_period"] = int(delta.total_seconds()) // 3600
+
+    better_prices_ahead = [
+        (ts, price)
+        for ts, price in current_prices.items()
+        if ts > utc_time and price < current_price
+    ]
+    if better_prices_ahead:
+        next_better_ts, next_better_price = better_prices_ahead[0]
+        delta_better = next_better_ts - utc_time
+        attributes["next_better_price"] = next_better_price
+        attributes["hours_to_better_price"] = int(delta_better.total_seconds()) // 3600
+        attributes["num_better_prices_ahead"] = len(better_prices_ahead)
+
+    prices_sorted = dict(sorted(current_prices.items(), key=lambda x: x[1]))
+    attributes["price_position"] = list(prices_sorted.values()).index(current_price) + 1
+    max_price = max(current_prices.values())
+    min_price = min(current_prices.values())
+    try:
+        attributes["price_ratio"] = round(
+            (current_price - min_price) / (max_price - min_price), 2
+        )
+    except ZeroDivisionError:  # pragma: no cover
+        pass
+    attributes["max_price"] = max_price
+    attributes["max_price_at"] = (
+        next(iter(reversed(prices_sorted))).astimezone(timezone).hour
+    )
+    attributes["min_price"] = min_price
+    attributes["min_price_at"] = next(iter(prices_sorted)).astimezone(timezone).hour
+    attributes["next_best_at"] = list(
+        map(
+            lambda x: x.astimezone(timezone).hour,
+            filter(lambda x: x >= utc_time, prices_sorted.keys()),
+        )
+    )
+
+    def _is_tomorrow_price(ts, ref):
+        return any(map(lambda x: x[0] > x[1], zip(ts.isocalendar(), ref.isocalendar())))
+
+    for ts_utc, price_h in current_prices.items():
+        ts_local = ts_utc.astimezone(timezone)
+        if _is_tomorrow_price(ts_local, local_time):
+            attr_key = f"price_next_day_{ts_local.hour:02d}h"
+        else:
+            attr_key = f"price_{ts_local.hour:02d}h"
+        if attr_key in attributes:  # DST change with duplicated hour :)
+            attr_key += "_d"
+        attributes[attr_key] = price_h
+
+    return attributes
+
+
 class PVPCData:
     """
     Data handler for PVPC hourly prices.
@@ -60,6 +158,8 @@ def __init__(
         websession: Optional[aiohttp.ClientSession] = None,
         local_timezone: Union[str, zoneinfo.ZoneInfo] = REFERENCE_TZ,
         zone_ceuta_melilla: bool = False,
+        power: float = DEFAULT_POWER_KW,
+        power_valley: float = DEFAULT_POWER_KW,
         logger: Optional[logging.Logger] = None,
         timeout: float = DEFAULT_TIMEOUT,
     ):
@@ -68,24 +168,34 @@ def __init__(
         self.state_available = False
         self.attributes: Dict[str, Any] = {}
 
-        self.tariff_old = tariff
-        if tariff is None:
-            self.tariff = None
-        else:
-            self.tariff = TARIFFS_NEW[1] if zone_ceuta_melilla else TARIFFS_NEW[0]
         self.timeout = timeout
-
         self._session = websession
         self._with_initial_session = websession is not None
         self._local_timezone = zoneinfo.ZoneInfo(str(local_timezone))
         self._logger = logger or logging.getLogger(__name__)
 
         self._current_prices: Dict[datetime, float] = {}
-
-        if tariff is None or (
-            tariff not in TARIFF_KEYS_NEW and tariff not in TARIFF_KEYS
-        ):
+        self._power = power
+        self._power_valley = power_valley
+        self._zone_ceuta_melilla = zone_ceuta_melilla
+        if tariff is None:
+            self.tariff = self.tariff_old = None
             self._logger.warning("Collecting detailed PVPC data for all tariffs")
+        elif tariff in OLD_TARIFFS:
+            self.tariff_old = tariff
+            self.tariff = TARIFFS[1] if zone_ceuta_melilla else TARIFFS[0]
+        else:
+            self.tariff_old = "discrimination"
+            self.tariff = tariff
+            if tariff not in TARIFFS:  # pragma: no cover
+                self._logger.error(
+                    "Unknown tariff '%s'. Should be one of %s, or, "
+                    "if using it to retrieve old prices, one of %s",
+                    tariff,
+                    TARIFFS,
+                    OLD_TARIFFS,
+                )
+                self.tariff = TARIFFS[1] if zone_ceuta_melilla else TARIFFS[0]
 
     async def _download_pvpc_prices(self, day: date) -> Dict[datetime, Any]:
         """
@@ -102,9 +212,9 @@ async def _download_pvpc_prices(self, day: date) -> Dict[datetime, Any]:
         url = get_url_for_daily_json(day)
         assert self._session is not None
         if day < DATE_CHANGE_TO_20TD:
-            tariff = TARIFF_KEYS.get(self.tariff_old) if self.tariff_old else None
+            tariff = OLD_TARIFF2ID.get(self.tariff_old) if self.tariff_old else None
         else:
-            tariff = TARIFF_KEYS_NEW.get(self.tariff) if self.tariff else None
+            tariff = TARIFF2ID.get(self.tariff) if self.tariff else None
 
         try:
             with async_timeout.timeout(self.timeout):
@@ -166,14 +276,9 @@ def process_state_and_attributes(self, utc_now: datetime) -> bool:
         tariff = self.tariff
         if utc_now.isoformat() < DATE_CHANGE_TO_20TD.isoformat():
             tariff = self.tariff_old
-        attributes: Dict[str, Any] = {"attribution": _ATTRIBUTION, "tariff": tariff}
-
-        def _local(dt_utc: datetime) -> datetime:
-            return dt_utc.astimezone(self._local_timezone)
-
+        attributes: Dict[str, Any] = {"attribution": ATTRIBUTION, "tariff": tariff}
         utc_time = _ensure_utc_time(utc_now.replace(minute=0, second=0, microsecond=0))
-        actual_time = _local(utc_time)
-        # todo current_period, next_period [P1/P2/P3], next_period_in (hours)
+        actual_time = utc_time.astimezone(self._local_timezone)
         # todo power_period/power_price €/kW*año
         if len(self._current_prices) > 25 and actual_time.hour < 20:
             # there are 'today' and 'next day' prices, but 'today' has expired
@@ -196,32 +301,15 @@ def _local(dt_utc: datetime) -> datetime:
             return False
 
         # generate sensor attributes
-        prices_sorted = dict(sorted(self._current_prices.items(), key=lambda x: x[1]))
-        attributes["min_price"] = min(self._current_prices.values())
-        attributes["min_price_at"] = _local(next(iter(prices_sorted))).hour
-        attributes["next_best_at"] = list(
-            map(
-                lambda x: _local(x).hour,
-                filter(lambda x: x >= utc_time, prices_sorted.keys()),
-            )
+        current_hour_attrs = _make_sensor_attributes(
+            self._current_prices,
+            utc_time,
+            self._local_timezone,
+            self._zone_ceuta_melilla,
+            int(1000 * self._power),
+            int(1000 * self._power_valley),
         )
-
-        def _is_tomorrow_price(ts, ref):
-            return any(
-                map(lambda x: x[0] > x[1], zip(ts.isocalendar(), ref.isocalendar()))
-            )
-
-        for ts_utc, price_h in self._current_prices.items():
-            ts_local = _local(ts_utc)
-            if _is_tomorrow_price(ts_local, actual_time):
-                attr_key = f"price_next_day_{ts_local.hour:02d}h"
-            else:
-                attr_key = f"price_{ts_local.hour:02d}h"
-            if attr_key in attributes:  # DST change with duplicated hour :)
-                attr_key += "_d"
-            attributes[attr_key] = price_h
-
-        self.attributes = attributes
+        self.attributes = {**attributes, **current_hour_attrs}
         return True
 
     async def _download_worker(self, wk_name: str, queue: asyncio.Queue):
diff --git a/aiopvpc/pvpc_download.py b/aiopvpc/pvpc_download.py
index e56cc04..865b4d9 100644
--- a/aiopvpc/pvpc_download.py
+++ b/aiopvpc/pvpc_download.py
@@ -4,49 +4,27 @@
 * URL for JSON daily files
 * Parser for the contents of the JSON files
 """
-import logging
-import sys
 from datetime import date, datetime, timedelta
 from typing import Any, Dict, Optional, Union
 
-if sys.version_info[:2] >= (3, 9):  # pragma: no cover
-    import zoneinfo  # pylint: disable=import-error
-else:  # pragma: no cover
-    from backports import zoneinfo  # pylint: disable=import-error
-
-# Tariffs as internal keys in esios API data
-ESIOS_TARIFFS = ["GEN", "NOC", "VHC"]
-ESIOS_TARIFFS_NEW = ["PCB", "CYM"]
-
-# Tariffs used in HomeAssistant integration
-TARIFFS = ["normal", "discrimination", "electric_car"]
-TARIFF_KEYS = dict(zip(TARIFFS, ESIOS_TARIFFS))
-TARIFFS_NEW = ["2.0TD", "2.0TD (Ceuta/Melilla)"]
-TARIFF_KEYS_NEW = dict(zip(TARIFFS_NEW, ESIOS_TARIFFS_NEW))
-
-# Prices are given in 0 to 24h sets, adjusted to the main timezone in Spain
-REFERENCE_TZ = zoneinfo.ZoneInfo("Europe/Madrid")
-UTC_TZ = zoneinfo.ZoneInfo("UTC")
-
-DEFAULT_TIMEOUT = 5
-DATE_CHANGE_TO_20TD = date(2021, 6, 1)
-_PRECISION = 5
-_RESOURCE = (
-    "https://api.esios.ree.es/archives/70/download_json"
-    "?locale=es&date={day:%Y-%m-%d}"
+from aiopvpc.const import (
+    PRICE_PRECISION,
+    REFERENCE_TZ,
+    URL_PVPC_RESOURCE,
+    UTC_TZ,
+    zoneinfo,
 )
 
 
 def get_url_for_daily_json(day: Union[date, datetime]) -> str:
     """Get URL for JSON file with PVPC data for a specific day (in Europe/Madrid TZ)."""
-    return _RESOURCE.format(day=day)
+    return URL_PVPC_RESOURCE.format(day=day)
 
 
 def extract_pvpc_data(
     data: Dict[str, Any],
     key: Optional[str] = None,
     tz: zoneinfo.ZoneInfo = REFERENCE_TZ,
-    zone_ceuta_melilla: bool = False,
 ) -> Union[Dict[datetime, float], Dict[datetime, Dict[str, float]]]:
     """Parse the contents of a daily PVPC json file."""
     ts_init = datetime(
@@ -54,15 +32,7 @@ def extract_pvpc_data(
         tzinfo=tz,
     ).astimezone(UTC_TZ)
 
-    if ts_init.date() >= date(2021, 6, 1) and key not in ESIOS_TARIFFS_NEW:
-        logging.warning(
-            "Bad call for prices with new 2.0TD tariff, "
-            "'%s' is not valid anymore :(",
-            key,
-        )
-        key = "CYM" if zone_ceuta_melilla else "PCB"
-
-    def _parse_tariff_val(value, prec=_PRECISION) -> float:
+    def _parse_tariff_val(value, prec=PRICE_PRECISION) -> float:
         return round(float(value.replace(",", ".")) / 1000.0, prec)
 
     def _parse_val(value) -> float:
diff --git a/poetry.lock b/poetry.lock
index 0eb6330..1335fe6 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -109,7 +109,7 @@ tzdata = ["tzdata"]
 
 [[package]]
 name = "black"
-version = "21.5b1"
+version = "21.5b2"
 description = "The uncompromising code formatter."
 category = "dev"
 optional = false
@@ -125,8 +125,9 @@ toml = ">=0.10.1"
 
 [package.extras]
 colorama = ["colorama (>=0.4.3)"]
-d = ["aiohttp (>=3.6.0)", "aiohttp-cors"]
+d = ["aiohttp (>=3.6.0)", "aiohttp-cors (>=0.4.0)"]
 python2 = ["typed-ast (>=1.4.2)"]
+uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "bleach"
@@ -154,7 +155,7 @@ pycparser = "*"
 
 [[package]]
 name = "cfgv"
-version = "3.2.0"
+version = "3.3.0"
 description = "Validate configuration and produce human readable error messages."
 category = "dev"
 optional = false
@@ -170,7 +171,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
 [[package]]
 name = "click"
-version = "8.0.0"
+version = "8.0.1"
 description = "Composable command line interface toolkit"
 category = "dev"
 optional = false
@@ -187,6 +188,22 @@ category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
+[[package]]
+name = "convertdate"
+version = "2.3.2"
+description = "Converts between Gregorian dates and other calendar systems.Calendars included: Baha'i, French Republican, Hebrew, Indian Civil, Islamic, ISO, Julian, Mayan and Persian."
+category = "main"
+optional = false
+python-versions = ">=3.5"
+
+[package.dependencies]
+pymeeus = ">=0.3.13,<=1"
+pytz = ">=2014.10"
+
+[package.extras]
+docs = ["sphinx", "sphinx-rtd-theme"]
+test = ["coverage"]
+
 [[package]]
 name = "coverage"
 version = "5.5"
@@ -195,9 +212,6 @@ category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <4"
 
-[package.dependencies]
-toml = {version = "*", optional = true, markers = "extra == \"toml\""}
-
 [package.extras]
 toml = ["toml"]
 
@@ -230,7 +244,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
 [[package]]
 name = "distlib"
-version = "0.3.1"
+version = "0.3.2"
 description = "Distribution utilities"
 category = "dev"
 optional = false
@@ -393,9 +407,32 @@ python-versions = ">=3.6"
 [package.dependencies]
 flake8 = ">=3.0,<3.2.0 || >3.2.0,<4"
 
+[[package]]
+name = "hijri-converter"
+version = "2.1.2"
+description = "Accurate Hijri-Gregorian date converter based on the Umm al-Qura calendar"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "holidays"
+version = "0.11.1"
+description = "Generate and work with holidays in Python"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+convertdate = ">=2.3.0"
+hijri-converter = "*"
+korean-lunar-calendar = "*"
+python-dateutil = "*"
+six = "*"
+
 [[package]]
 name = "identify"
-version = "2.2.4"
+version = "2.2.9"
 description = "File identification library for Python"
 category = "dev"
 optional = false
@@ -406,11 +443,11 @@ license = ["editdistance-s"]
 
 [[package]]
 name = "idna"
-version = "3.1"
+version = "3.2"
 description = "Internationalized Domain Names in Applications (IDNA)"
 category = "main"
 optional = false
-python-versions = ">=3.4"
+python-versions = ">=3.5"
 
 [[package]]
 name = "iniconfig"
@@ -440,7 +477,7 @@ test = ["pytest (!=5.3.4)", "pytest-cov", "flaky", "nose", "jedi (<=0.17.2)"]
 
 [[package]]
 name = "ipython"
-version = "7.23.1"
+version = "7.24.1"
 description = "IPython: Productive Interactive Computing"
 category = "main"
 optional = true
@@ -460,7 +497,7 @@ pygments = "*"
 traitlets = ">=4.2"
 
 [package.extras]
-all = ["Sphinx (>=1.3)", "ipykernel", "ipyparallel", "ipywidgets", "nbconvert", "nbformat", "nose (>=0.10.1)", "notebook", "numpy (>=1.16)", "pygments", "qtconsole", "requests", "testpath"]
+all = ["Sphinx (>=1.3)", "ipykernel", "ipyparallel", "ipywidgets", "nbconvert", "nbformat", "nose (>=0.10.1)", "notebook", "numpy (>=1.17)", "pygments", "qtconsole", "requests", "testpath"]
 doc = ["Sphinx (>=1.3)"]
 kernel = ["ipykernel"]
 nbconvert = ["nbconvert"]
@@ -468,7 +505,7 @@ nbformat = ["nbformat"]
 notebook = ["notebook", "ipywidgets"]
 parallel = ["ipyparallel"]
 qtconsole = ["qtconsole"]
-test = ["nose (>=0.10.1)", "requests", "testpath", "pygments", "nbformat", "ipykernel", "numpy (>=1.16)"]
+test = ["nose (>=0.10.1)", "requests", "testpath", "pygments", "nbformat", "ipykernel", "numpy (>=1.17)"]
 
 [[package]]
 name = "ipython-genutils"
@@ -514,14 +551,14 @@ testing = ["Django (<3.1)", "colorama", "docopt", "pytest (<6.0.0)"]
 
 [[package]]
 name = "jinja2"
-version = "3.0.0"
+version = "3.0.1"
 description = "A very fast and expressive template engine."
 category = "main"
 optional = true
 python-versions = ">=3.6"
 
 [package.dependencies]
-MarkupSafe = ">=2.0.0rc2"
+MarkupSafe = ">=2.0"
 
 [package.extras]
 i18n = ["Babel (>=2.7)"]
@@ -636,9 +673,17 @@ category = "main"
 optional = true
 python-versions = ">=3.6"
 
+[[package]]
+name = "korean-lunar-calendar"
+version = "0.2.1"
+description = "Korean Lunar Calendar"
+category = "main"
+optional = false
+python-versions = "*"
+
 [[package]]
 name = "markupsafe"
-version = "2.0.0"
+version = "2.0.1"
 description = "Safely add untrusted strings to HTML/XML markup."
 category = "main"
 optional = true
@@ -805,7 +850,7 @@ python-versions = "*"
 
 [[package]]
 name = "notebook"
-version = "6.3.0"
+version = "6.4.0"
 description = "A web-based notebook environment for interactive computing"
 category = "main"
 optional = true
@@ -828,7 +873,7 @@ tornado = ">=6.1"
 traitlets = ">=4.2.1"
 
 [package.extras]
-docs = ["sphinx", "nbsphinx", "sphinxcontrib-github-alt", "sphinx-rtd-theme"]
+docs = ["sphinx", "nbsphinx", "sphinxcontrib-github-alt", "sphinx-rtd-theme", "myst-parser"]
 json-logging = ["json-logging"]
 test = ["pytest", "coverage", "requests", "nbval", "selenium", "pytest-cov", "requests-unixsocket"]
 
@@ -946,7 +991,7 @@ dev = ["pre-commit", "tox"]
 
 [[package]]
 name = "pre-commit"
-version = "2.12.1"
+version = "2.13.0"
 description = "A framework for managing and maintaining multi-language pre-commit hooks."
 category = "dev"
 optional = false
@@ -962,7 +1007,7 @@ virtualenv = ">=20.0.8"
 
 [[package]]
 name = "prometheus-client"
-version = "0.10.1"
+version = "0.11.0"
 description = "Python client for the Prometheus monitoring system."
 category = "main"
 optional = true
@@ -1030,6 +1075,14 @@ category = "main"
 optional = true
 python-versions = ">=3.5"
 
+[[package]]
+name = "pymeeus"
+version = "0.5.11"
+description = "Python implementation of Jean Meeus astronomical routines"
+category = "main"
+optional = false
+python-versions = "*"
+
 [[package]]
 name = "pyparsing"
 version = "2.4.7"
@@ -1083,18 +1136,19 @@ testing = ["coverage", "hypothesis (>=5.7.1)"]
 
 [[package]]
 name = "pytest-cov"
-version = "2.12.0"
+version = "2.12.1"
 description = "Pytest plugin for measuring coverage."
 category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
 [package.dependencies]
-coverage = {version = ">=5.2.1", extras = ["toml"]}
+coverage = ">=5.2.1"
 pytest = ">=4.6"
+toml = "*"
 
 [package.extras]
-testing = ["fields", "hunter", "process-tests (==2.0.2)", "six", "pytest-xdist", "virtualenv"]
+testing = ["fields", "hunter", "process-tests", "six", "pytest-xdist", "virtualenv"]
 
 [[package]]
 name = "pytest-sugar"
@@ -1125,7 +1179,7 @@ name = "python-dateutil"
 version = "2.8.1"
 description = "Extensions to the standard Python datetime module"
 category = "main"
-optional = true
+optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 
 [package.dependencies]
@@ -1136,12 +1190,12 @@ name = "pytz"
 version = "2021.1"
 description = "World timezone definitions, modern and historical"
 category = "main"
-optional = true
+optional = false
 python-versions = "*"
 
 [[package]]
 name = "pywin32"
-version = "300"
+version = "301"
 description = "Python for Window Extensions"
 category = "main"
 optional = true
@@ -1149,11 +1203,11 @@ python-versions = "*"
 
 [[package]]
 name = "pywinpty"
-version = "0.5.7"
-description = "Python bindings for the winpty library"
+version = "1.1.1"
+description = "Pseudo terminal support for Windows from Python."
 category = "main"
 optional = true
-python-versions = "*"
+python-versions = ">=3.6"
 
 [[package]]
 name = "pyyaml"
@@ -1165,7 +1219,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
 
 [[package]]
 name = "pyzmq"
-version = "22.0.3"
+version = "22.1.0"
 description = "Python bindings for 0MQ"
 category = "main"
 optional = true
@@ -1239,7 +1293,7 @@ python-versions = "*"
 
 [[package]]
 name = "terminado"
-version = "0.9.5"
+version = "0.10.0"
 description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library."
 category = "main"
 optional = true
@@ -1247,7 +1301,7 @@ python-versions = ">=3.6"
 
 [package.dependencies]
 ptyprocess = {version = "*", markers = "os_name != \"nt\""}
-pywinpty = {version = ">=0.5,<1", markers = "os_name == \"nt\""}
+pywinpty = {version = ">=1.1.0", markers = "os_name == \"nt\""}
 tornado = ">=4"
 
 [package.extras]
@@ -1255,14 +1309,14 @@ test = ["pytest"]
 
 [[package]]
 name = "testpath"
-version = "0.4.4"
+version = "0.5.0"
 description = "Test utilities for code working with files and commands"
 category = "main"
 optional = true
-python-versions = "*"
+python-versions = ">= 3.5"
 
 [package.extras]
-test = ["pathlib2"]
+test = ["pytest", "pathlib2"]
 
 [[package]]
 name = "toml"
@@ -1312,7 +1366,7 @@ python-versions = "*"
 
 [[package]]
 name = "virtualenv"
-version = "20.4.6"
+version = "20.4.7"
 description = "Virtual Python Environment builder"
 category = "dev"
 optional = false
@@ -1373,7 +1427,7 @@ jupyter = ["pandas", "jupyter", "matplotlib"]
 [metadata]
 lock-version = "1.1"
 python-versions = ">=3.8,<4.0"
-content-hash = "3a866ac55d9544d0baaf5a08895f8b4f9a8f0fb2c889e1d7ea4074100701ae7f"
+content-hash = "c50a5340240ad14383b93f932f439536306f78513b97971bdc71f682eeb81efb"
 
 [metadata.files]
 aiohttp = [
@@ -1482,8 +1536,8 @@ backcall = [
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+    {file = "black-21.5b2-py3-none-any.whl", hash = "sha256:e5cf21ebdffc7a9b29d73912b6a6a9a4df4ce70220d523c21647da2eae0751ef"},
+    {file = "black-21.5b2.tar.gz", hash = "sha256:1fc0e0a2c8ae7d269dfcf0c60a89afa299664f3e811395d40b1922dff8f854b5"},
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@@ -1529,21 +1583,25 @@ cffi = [
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+    {file = "cfgv-3.3.0-py2.py3-none-any.whl", hash = "sha256:b449c9c6118fe8cca7fa5e00b9ec60ba08145d281d52164230a69211c5d597a1"},
+    {file = "cfgv-3.3.0.tar.gz", hash = "sha256:9e600479b3b99e8af981ecdfc80a0296104ee610cab48a5ae4ffd0b668650eb1"},
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+    {file = "click-8.0.1.tar.gz", hash = "sha256:8c04c11192119b1ef78ea049e0a6f0463e4c48ef00a30160c704337586f3ad7a"},
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+    {file = "convertdate-2.3.2.tar.gz", hash = "sha256:57df962a6047534f1452c390ad48e3dc5c83052ad83ad6dd78d60ae22f99214c"},
+]
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@@ -1611,8 +1669,8 @@ defusedxml = [
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+    {file = "distlib-0.3.2-py2.py3-none-any.whl", hash = "sha256:23e223426b28491b1ced97dc3bbe183027419dfc7982b4fa2f05d5f3ff10711c"},
+    {file = "distlib-0.3.2.zip", hash = "sha256:106fef6dc37dd8c0e2c0a60d3fca3e77460a48907f335fa28420463a6f799736"},
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@@ -1669,13 +1727,21 @@ flake8-tidy-imports = [
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 ]
+hijri-converter = [
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+    {file = "hijri_converter-2.1.2-py3-none-any.whl", hash = "sha256:b323d5f75b7e238d7e8760570d7ad8cabfc890af15c9f7945b6422d14603d33c"},
+]
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+    {file = "holidays-0.11.1.tar.gz", hash = "sha256:7fafd846f67f0eb7e1f9c19c38f4a7967bf07aed5ded2dd7a8aa2f937b0ea01b"},
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@@ -1686,8 +1752,8 @@ ipykernel = [
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@@ -1702,8 +1768,8 @@ jedi = [
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 ]
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@@ -1768,41 +1834,45 @@ kiwisolver = [
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 ]
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+    {file = "pyzmq-22.1.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:f49755684a963731479ff3035d45a8185545b4c9f662d368bd349c419839886d"},
+    {file = "pyzmq-22.1.0-pp37-pypy37_pp73-manylinux2010_x86_64.whl", hash = "sha256:6355f81947e1fe6e7bb9e123aeb3067264391d3ebe8402709f824ef8673fa6f3"},
+    {file = "pyzmq-22.1.0-pp37-pypy37_pp73-win32.whl", hash = "sha256:089b974ec04d663b8685ac90e86bfe0e4da9d911ff3cf52cb765ff22408b102d"},
+    {file = "pyzmq-22.1.0.tar.gz", hash = "sha256:7040d6dd85ea65703904d023d7f57fab793d7ffee9ba9e14f3b897f34ff2415d"},
 ]
 qtconsole = [
     {file = "qtconsole-5.1.0-py3-none-any.whl", hash = "sha256:3a2adecc43ff201a08972fb2179df22e7b3a08d71b9ed680f46ad1bfd4fb9132"},
@@ -2260,12 +2328,12 @@ termcolor = [
     {file = "termcolor-1.1.0.tar.gz", hash = "sha256:1d6d69ce66211143803fbc56652b41d73b4a400a2891d7bf7a1cdf4c02de613b"},
 ]
 terminado = [
-    {file = "terminado-0.9.5-py3-none-any.whl", hash = "sha256:3838414888b49a96145e277fd707a26a0fdb4bdaba88bb677a44abb68e3a1041"},
-    {file = "terminado-0.9.5.tar.gz", hash = "sha256:54c22cfb47cf79d4ff4ed2e7b5f8f98ecc28d0830f980465b6e04cf09cf553cf"},
+    {file = "terminado-0.10.0-py3-none-any.whl", hash = "sha256:048ce7b271ad1f94c48130844af1de163e54913b919f8c268c89b36a6d468d7c"},
+    {file = "terminado-0.10.0.tar.gz", hash = "sha256:46fd07c9dc7db7321922270d544a1f18eaa7a02fd6cd4438314f27a687cabbea"},
 ]
 testpath = [
-    {file = "testpath-0.4.4-py2.py3-none-any.whl", hash = "sha256:bfcf9411ef4bf3db7579063e0546938b1edda3d69f4e1fb8756991f5951f85d4"},
-    {file = "testpath-0.4.4.tar.gz", hash = "sha256:60e0a3261c149755f4399a1fff7d37523179a70fdc3abdf78de9fc2604aeec7e"},
+    {file = "testpath-0.5.0-py3-none-any.whl", hash = "sha256:8044f9a0bab6567fc644a3593164e872543bb44225b0e24846e2c89237937589"},
+    {file = "testpath-0.5.0.tar.gz", hash = "sha256:1acf7a0bcd3004ae8357409fc33751e16d37ccc650921da1094a86581ad1e417"},
 ]
 toml = [
     {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
@@ -2356,8 +2424,8 @@ typing-extensions = [
     {file = "typing_extensions-3.10.0.0.tar.gz", hash = "sha256:50b6f157849174217d0656f99dc82fe932884fb250826c18350e159ec6cdf342"},
 ]
 virtualenv = [
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-    {file = "virtualenv-20.4.6.tar.gz", hash = "sha256:72cf267afc04bf9c86ec932329b7e94db6a0331ae9847576daaa7ca3c86b29a4"},
+    {file = "virtualenv-20.4.7-py2.py3-none-any.whl", hash = "sha256:2b0126166ea7c9c3661f5b8e06773d28f83322de7a3ff7d06f0aed18c9de6a76"},
+    {file = "virtualenv-20.4.7.tar.gz", hash = "sha256:14fdf849f80dbb29a4eb6caa9875d476ee2a5cf76a5f5415fa2f1606010ab467"},
 ]
 wcwidth = [
     {file = "wcwidth-0.2.5-py2.py3-none-any.whl", hash = "sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784"},
diff --git a/pyproject.toml b/pyproject.toml
index 281bc9f..44e5d50 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -36,7 +36,7 @@ markers = [
 
 [tool.poetry]
 name = "aiopvpc"
-version = "2.1.2"
+version = "2.2.0"
 description = "Retrieval of Spanish Electricity hourly prices (PVPC)"
 authors = ["Eugenio Panadero <eugenio.panadero@gmail.com>"]
 license = "MIT"
@@ -47,6 +47,7 @@ repository = "https://github.com/azogue/aiopvpc"
 python = ">=3.8,<4.0"
 aiohttp = ">=3.6.2"
 async_timeout = ">=3.0.1"
+holidays = "*"
 "backports.zoneinfo" = {version = "^0.2.1", python = "<3.9"}
 # just for example notebooks
 jupyter = {version = "*", optional = true}


Test patch:
diff --git a/tests/conftest.py b/tests/conftest.py
index eabecac..7b10957 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -7,7 +7,7 @@
 if sys.version_info[:2] >= (3, 9):
     import zoneinfo  # pylint: disable=import-error
 else:
-    from backports import zoneinfo  # pylint: disable=import-error
+    from backports import zoneinfo  # type: ignore
 
 TEST_EXAMPLES_PATH = pathlib.Path(__file__).parent / "api_examples"
 TZ_TEST = zoneinfo.ZoneInfo("Atlantic/Canary")
diff --git a/tests/test_pvpc.py b/tests/test_pvpc.py
index a865732..99e18d4 100644
--- a/tests/test_pvpc.py
+++ b/tests/test_pvpc.py
@@ -7,39 +7,47 @@
 import pytest
 from aiohttp import ClientError
 
-from aiopvpc import ESIOS_TARIFFS, PVPCData, REFERENCE_TZ
+from aiopvpc.const import OLD_TARIFS_IDS, REFERENCE_TZ
+from aiopvpc.pvpc_data import PVPCData
 from .conftest import MockAsyncSession, TZ_TEST
 
 
 @pytest.mark.parametrize(
-    "day_str, timezone, num_prices, num_calls, num_prices_8h, available_8h, last_hour",
+    "day_str, timezone, zone_cm, num_prices, num_calls, num_prices_8h, available_8h",
     (
-        ("2019-10-26 00:00:00+08:00", TZ_TEST, 0, 1, 0, False, None),
-        ("2019-10-26 00:00:00", TZ_TEST, 24, 1, 24, True, 23),
-        ("2019-10-27 00:00:00", TZ_TEST, 25, 1, 25, True, 23),
-        ("2019-03-31 20:00:00", TZ_TEST, 23, 2, 23, False, 23),
-        ("2019-03-31 20:00:00+04:00", TZ_TEST, 23, 1, 23, False, 23),
-        ("2019-10-26 21:00:00", TZ_TEST, 49, 2, 26, True, 23),
-        ("2019-10-26 21:00:00+01:00", TZ_TEST, 49, 2, 26, True, 23),
-        ("2019-10-26 00:00:00", REFERENCE_TZ, 24, 1, 24, True, 23),
-        ("2019-10-27 00:00:00", REFERENCE_TZ, 25, 1, 25, True, 23),
-        ("2019-03-31 20:00:00", REFERENCE_TZ, 23, 2, 23, False, 23),
-        ("2019-10-26 21:00:00", REFERENCE_TZ, 49, 2, 25, True, 23),
-        ("2021-06-01 06:00:00", REFERENCE_TZ, 24, 1, 24, True, 23),
+        ("2019-10-26 00:00:00+08:00", TZ_TEST, False, 0, 1, 0, False),
+        ("2019-10-26 00:00:00", TZ_TEST, False, 24, 1, 24, True),
+        ("2019-10-27 00:00:00", TZ_TEST, False, 25, 1, 25, True),
+        ("2019-03-31 20:00:00", TZ_TEST, False, 23, 2, 23, False),
+        ("2019-03-31 20:00:00+04:00", TZ_TEST, False, 23, 1, 23, False),
+        ("2019-10-26 21:00:00", TZ_TEST, False, 49, 2, 26, True),
+        ("2019-10-26 21:00:00+01:00", TZ_TEST, False, 49, 2, 26, True),
+        ("2019-10-26 00:00:00", REFERENCE_TZ, True, 24, 1, 24, True),
+        ("2019-10-27 00:00:00", REFERENCE_TZ, True, 25, 1, 25, True),
+        ("2019-03-31 20:00:00", REFERENCE_TZ, True, 23, 2, 23, False),
+        ("2019-10-26 21:00:00", REFERENCE_TZ, True, 49, 2, 25, True),
+        ("2021-06-01 09:00:00", REFERENCE_TZ, True, 24, 1, 24, True),
     ),
 )
 @pytest.mark.asyncio
 async def test_price_extract(
-    day_str, timezone, num_prices, num_calls, num_prices_8h, available_8h, last_hour
+    day_str,
+    timezone,
+    zone_cm,
+    num_prices,
+    num_calls,
+    num_prices_8h,
+    available_8h,
 ):
     """Test data parsing of official API files."""
     day = datetime.fromisoformat(day_str)
     mock_session = MockAsyncSession()
 
     pvpc_data = PVPCData(
+        tariff="2.0TD",
         local_timezone=timezone,
-        tariff="discrimination",
         websession=mock_session,
+        zone_ceuta_melilla=zone_cm,
     )
 
     pvpc_data.source_available = True
@@ -47,7 +55,7 @@ async def test_price_extract(
     assert mock_session.call_count == 0
 
     await pvpc_data.async_update_prices(day)
-    has_prices = pvpc_data.process_state_and_attributes(day)
+    pvpc_data.process_state_and_attributes(day)
     assert len(pvpc_data._current_prices) == num_prices
     assert mock_session.call_count == num_calls
 
@@ -56,7 +64,7 @@ async def test_price_extract(
     assert has_prices == available_8h
     if has_prices:
         last_dt, last_p = list(pvpc_data._current_prices.items())[-1]
-        assert last_dt.astimezone(timezone).hour == last_hour
+        assert last_dt.astimezone(timezone).hour == 23
 
 
 @pytest.mark.parametrize(
@@ -126,10 +134,10 @@ def test_full_data_download_range(timezone, start, end):
 
     # Check full PVPC data is retrieved
     assert len(data_first_hour) == 30
-    assert all(tag in data_first_hour for tag in ESIOS_TARIFFS)
+    assert all(tag in data_first_hour for tag in OLD_TARIFS_IDS)
 
     # Check units have not changed in full data retrieval (they are in €/MWh)
-    assert all(data_first_hour[tag] > 1 for tag in ESIOS_TARIFFS)
+    assert all(data_first_hour[tag] > 1 for tag in OLD_TARIFS_IDS)
 
     # check tz-alignment (price at 15h is tz-independent)
     assert prices[first_price]["NOC"] == 119.16
diff --git a/tests/test_real_api_calls.py b/tests/test_real_api_calls.py
index 63c6d4d..a1e9224 100644
--- a/tests/test_real_api_calls.py
+++ b/tests/test_real_api_calls.py
@@ -48,6 +48,6 @@ async def test_real_download_today_async():
     assert 22 < len(prices) < 49
 
     # Check error without session
-    pvpc_handler_bad = PVPCData("discriminacion")
+    pvpc_handler_bad = PVPCData("2.0TD")
     with pytest.raises(AssertionError):
         await pvpc_handler_bad.async_update_prices(datetime.utcnow())
diff --git a/tests/test_tariff_attributes.py b/tests/test_tariff_attributes.py
new file mode 100644
index 0000000..58d5615
--- /dev/null
+++ b/tests/test_tariff_attributes.py
@@ -0,0 +1,38 @@
+"""Tests for aiopvpc."""
+from datetime import datetime, timedelta
+
+import holidays
+import pytest
+
+from aiopvpc.const import REFERENCE_TZ
+from aiopvpc.pvpc_data import _tariff_period_key
+
+_HOLIDAYS_VERSION = tuple(map(int, holidays.__version__.split(".")))
+
+
+@pytest.mark.skipif(
+    _HOLIDAYS_VERSION > (0, 11, 1),
+    reason="Expected Good Friday as national holiday, please modify the test!",
+)
+@pytest.mark.parametrize(
+    "year, days_weekend_p3, extra_days_p3",
+    (
+        (2021, 104, 7),
+        (2022, 105, 7),
+        (2023, 105, 9),
+    ),
+)
+def test_number_of_national_holidays(year, days_weekend_p3, extra_days_p3):
+    """Calculate days with full P3 valley period."""
+    holidays_p3 = weekend_days_p3 = 0
+    day = datetime(year, 1, 1, 15, tzinfo=REFERENCE_TZ)
+    while day.year == year:
+        if _tariff_period_key(day, False) == "P3":
+            if day.isoweekday() > 5:
+                weekend_days_p3 += 1
+            else:
+                holidays_p3 += 1
+        day += timedelta(days=1)
+    assert weekend_days_p3 == days_weekend_p3
+    # TODO bump python-holidays version to fix Good Friday as national holiday
+    assert holidays_p3 + 1 == extra_days_p3