precommits...

Author: GratienDSX

src/meteole/forecast.py

@@ -182,9 +182,7 @@ def _get_coverage_id(
         capabilities = self.capabilities[self.capabilities["indicator"] == indicator]
 
         if indicator not in self.indicators:
-            raise ValueError(
-                f"Unknown `indicator` - checkout `{self.model_name}.indicators` to have the full list."
-            )
+            raise ValueError(f"Unknown `indicator` - checkout `{self.model_name}.indicators` to have the full list.")
 
         if run is None:
             run = capabilities.iloc[0]["run"]
@@ -309,7 +307,9 @@ def _raise_if_invalid_or_fetch_default(
                 if input_value not in availables:
                     raise ValueError(f"`{param_name}={inputs}` is invalid. Available {param_name}: {availables}")
         else:
-            inputs = availables[:1] or [-1]  # using [-1] make sure we have an iterable. Using None makes things too complicated with mypy...
+            inputs = availables[:1] or [
+                -1
+            ]  # using [-1] make sure we have an iterable. Using None makes things too complicated with mypy...
             if inputs[0] != -1:
                 logger.info(f"Using `{param_name}={inputs}`")
         return inputs

src/meteole/raster.py

@@ -1,4 +1,5 @@
 """Functionnalities to deal with the raster data"""
+
 import cartopy.crs as ccrs
 import matplotlib.pyplot as plt
 import rasterio

tutorial/access_viligance_bulletin.ipynb

@@ -2,6 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
+   "id": "7fb27b941602401d91542211134fc71a",
    "metadata": {},
    "source": [
     "# Vigilance Bulletin\n",
@@ -19,23 +20,28 @@
   {
    "cell_type": "code",
    "execution_count": 1,
+   "id": "acae54e37e7d407bbb7b55eff062a284",
    "metadata": {},
    "outputs": [],
    "source": [
     "import os\n",
+    "\n",
     "import pandas as pd\n",
+    "\n",
     "from meteole import Vigilance"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "9a63283cbaf04dbcab1f6479b197f3a8",
    "metadata": {},
    "source": [
     "# Init Vigilance Class"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "8dd0d8092fe74a7c96281538738b07e2",
    "metadata": {},
    "source": [
     "**Requirements notice** : TODO Link to the documentation to have application_id"
@@ -44,26 +50,30 @@
   {
    "cell_type": "code",
    "execution_count": 3,
+   "id": "72eea5119410473aa328ad9291626812",
    "metadata": {},
    "outputs": [],
    "source": [
     "# load application_id from .env\n",
     "from dotenv import load_dotenv\n",
+    "\n",
     "load_dotenv()\n",
     "application_id = os.getenv(\"APPLICATION_ID\", None)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 4,
+   "id": "8edb47106e1a46a883d545849b8ab81b",
    "metadata": {},
    "outputs": [],
    "source": [
-    "client = Vigilance(application_id = application_id)"
+    "client = Vigilance(application_id=application_id)"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "10185d26023b46108eb7d9f57d49d2b3",
    "metadata": {},
    "source": [
     "# Collect Forecasted phenomenon\n",
@@ -74,6 +84,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
+   "id": "8763a12b2bbd4a93a75aff182afb95dc",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -83,6 +94,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
+   "id": "7623eae2785240b9bd12b16a66d81610",
    "metadata": {},
    "outputs": [
     {
@@ -193,6 +205,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
+   "id": "7cdc8c89c7104fffa095e18ddfef8986",
    "metadata": {},
    "outputs": [
     {
@@ -289,6 +302,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "b118ea5561624da68c537baed56e602f",
    "metadata": {},
    "source": [
     "# Collect text of monitoring bulletins\n",
@@ -299,6 +313,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
+   "id": "938c804e27f84196a10c8828c723f798",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -308,6 +323,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
+   "id": "504fb2a444614c0babb325280ed9130a",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -317,6 +333,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
+   "id": "59bbdb311c014d738909a11f9e486628",
    "metadata": {},
    "outputs": [
     {
@@ -401,15 +418,17 @@
   {
    "cell_type": "code",
    "execution_count": 11,
+   "id": "b43b363d81ae4b689946ece5c682cd59",
    "metadata": {},
    "outputs": [],
    "source": [
-    "df_text_bloc_items = pd.json_normalize(test_texte['product.text_bloc_items'].explode())"
+    "df_text_bloc_items = pd.json_normalize(test_texte[\"product.text_bloc_items\"].explode())"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 12,
+   "id": "8a65eabff63a45729fe45fb5ade58bdc",
    "metadata": {},
    "outputs": [
     {
@@ -574,6 +593,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "c3933fab20d04ec698c2621248eb3be0",
    "metadata": {},
    "source": [
     "# Map display"
@@ -582,6 +602,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
+   "id": "4dd4641cc4064e0191573fe9c69df29b",
    "metadata": {},
    "outputs": [
     {
@@ -602,6 +623,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "8309879909854d7188b41380fd92a7c3",
    "metadata": {},
    "outputs": [],
    "source": []

tutorial/arome.ipynb

@@ -15,7 +15,9 @@
    "source": [
     "import os\n",
     "import random\n",
+    "\n",
     "import dotenv\n",
+    "\n",
     "from meteole import AromeForecast\n",
     "\n",
     "dotenv.load_dotenv()\n",

tutorial/arpege.ipynb

@@ -14,8 +14,10 @@
    "outputs": [],
    "source": [
     "import os\n",
-    "import dotenv\n",
     "import random\n",
+    "\n",
+    "import dotenv\n",
+    "\n",
     "from meteole import ArpegeForecast\n",
     "\n",
     "dotenv.load_dotenv()\n",