One tutorial for all models; fix aromepi indicators

Author: GratienDSX

src/meteole/_arome_instantane.py

@@ -19,9 +19,6 @@
     "BRIGHTNESS_TEMPERATURE__GROUND_OR_WATER_SURFACE",
     "CONVECTIVE_AVAILABLE_POTENTIAL_ENERGY__GROUND_OR_WATER_SURFACE",
     "DIAG_GRELE__GROUND_OR_WATER_SURFACE",
-    "TOTAL_WATER_PRECIPITATION__GROUND_OR_WATER_SURFACE",
-    "WIND_SPEED_GUST_15MIN__SPECIFIC_HEIGHT_LEVEL_ABOVE_GROUND",
-    "WIND_SPEED_MAXIMUM_GUST__SPECIFIC_HEIGHT_LEVEL_ABOVE_GROUND",
     "WIND_SPEED_GUST__SPECIFIC_HEIGHT_LEVEL_ABOVE_GROUND",
     "RELATIVE_HUMIDITY__SPECIFIC_HEIGHT_LEVEL_ABOVE_GROUND",
     "MOCON__GROUND_OR_WATER_SURFACE",

tutorial/Fetch_PIAF_forecasts.ipynb

@@ -25,7 +25,7 @@
    "source": [
     "import random\n",
     "\n",
-    "from meteole import ArpegeForecast"
+    "from meteole import ArpegeForecast  # or AromeForecast, AromePIForecast"
    ]
   },
   {
@@ -60,9 +60,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Init Client Arpege\n",
-    "\n",
-    "To get Arome Forecast, import `AromeForecast`"
+    "## Init Client"
    ]
   },
   {
@@ -71,7 +69,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "client = ArpegeForecast(application_id=APP_ID)"
+    "client = ArpegeForecast(application_id=APP_ID)  # or AromeForecast, AromePIForecast"
    ]
   },
   {

tutorial/Fetch_forecast_for_multiple_indicators.ipynb

@@ -24,7 +24,7 @@
    "source": [
     "import random\n",
     "\n",
-    "from meteole import AromeForecast"
+    "from meteole import PiafForecast  # or ArpegeForecast, PiafForecast, AromePIForecast"
    ]
   },
   {
@@ -59,9 +59,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Init Client Arome\n",
-    "\n",
-    "To get Arome Forecast, import `AromeForecast`"
+    "## Init Client"
    ]
   },
   {
@@ -71,7 +69,7 @@
    "outputs": [],
    "source": [
     "# init client\n",
-    "arome = AromeForecast(application_id=APP_ID)"
+    "client = PiafForecast(application_id=APP_ID)  # or ArpegeForecast, PiafForecast, AromePIForecast"
    ]
   },
   {
@@ -81,7 +79,7 @@
    "outputs": [],
    "source": [
     "# pick a random indicator\n",
-    "random_indicator = random.choice(arome.INDICATORS)\n",
+    "random_indicator = random.choice(client.INDICATORS)\n",
     "print(f\"Indicator: {random_indicator}\")"
    ]
   },
@@ -91,7 +89,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "arome.INDICATORS"
+    "client.INDICATORS"
    ]
   },
   {
@@ -107,7 +105,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "arome.get_coverage(random_indicator)"
+    "client.get_coverage(random_indicator)"
    ]
   },
   {
@@ -126,7 +124,7 @@
    "outputs": [],
    "source": [
     "# First parameters to create a coverage_id (run and interval)\n",
-    "df_capabilities = arome.get_capabilities()\n",
+    "df_capabilities = client.get_capabilities()\n",
     "\n",
     "list_run_valid = list(df_capabilities[df_capabilities[\"indicator\"] == random_indicator][\"run\"].unique())\n",
     "list_interval_valid = list(df_capabilities[df_capabilities[\"indicator\"] == random_indicator][\"interval\"].unique())\n",
@@ -140,19 +138,12 @@
    "outputs": [],
    "source": [
     "# Then other parameters from a coverage_id\n",
-    "description = arome.get_coverage_description(list_coverage_id_valid[0])\n",
+    "description = client.get_coverage_description(list_coverage_id_valid[0])\n",
     "\n",
     "list_forecast_horizons_valid = description.get(\"forecast_horizons\", [])\n",
     "list_height_valid = description.get(\"heights\", [])\n",
     "list_pressure_id_valid = description.get(\"pressures\", [])"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -171,7 +162,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.11"
+   "version": "undefined.undefined.undefined"
   },
   "toc": {
    "base_numbering": 1,