diff --git a/pyro_risks/notebooks/EFFIS FWI formatting.ipynb b/pyro_risks/notebooks/EFFIS FWI formatting.ipynb new file mode 100644 index 0000000..80649ce --- /dev/null +++ b/pyro_risks/notebooks/EFFIS FWI formatting.ipynb @@ -0,0 +1,1697 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "7c0060ae-4731-4350-a7ad-8751a0ea9aad", + "metadata": {}, + "source": [ + "### Setup environment" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "960b77e3-805f-458d-84e5-28d90b263621", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "if os.getcwd().split(\"/\")[-1]==\"notebooks\":\n", + " os.chdir(\"../../\")" + ] + }, + { + "cell_type": "markdown", + "id": "485da370-3db7-46b8-8a3a-fd737376d1e7", + "metadata": {}, + "source": [ + "### Import" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "483a5b0e-c48f-4041-b5d7-9fc67c4d11b0", + "metadata": {}, + "outputs": [], + "source": [ + "from pyro_risks.utils.fwi_helpers import FWIHelpers\n", + "from pyro_risks.utils.s3 import *\n", + "from datetime import date\n", + "import geopandas as gpd\n", + "import numpy as np " + ] + }, + { + "cell_type": "markdown", + "id": "b77a32d2-f072-45d5-9a44-76dc1aec8dc8", + "metadata": {}, + "source": [ + "### Connect to s3 bucket" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "bd26c728-27dd-4d03-9974-5d703c328cda", + "metadata": {}, + "outputs": [], + "source": [ + "aws_path = \"../../../../.aws/\"\n", + "aws_credentials_path = aws_path+\"credentials\"\n", + "aws_config_path = aws_path+\"config\"\n", + " \n", + "# Get credentials\n", + "with open(aws_credentials_path) as f:\n", + " content = f.read().splitlines()\n", + "my_access_key_id = content[1].split(\" = \")[1]\n", + "my_secret_access_key = content[2].split(\" = \")[1]\n", + "\n", + "# Get config\n", + "with open(aws_config_path) as f:\n", + " content = f.read().splitlines()\n", + "my_endpoint = content[8].split(\" = \")[1]\n", + "\n", + "\n", + "s3 = S3Bucket(\n", + " bucket_name='risk',\n", + " endpoint_url=my_endpoint,\n", + " region_name='gra',\n", + " aws_access_key_id=my_access_key_id,\n", + " aws_secret_key=my_secret_access_key\n", + " )\n" + ] + }, + { + "cell_type": "markdown", + "id": "588e7cf1-9f8b-44c2-bebc-25d6ead42276", + "metadata": {}, + "source": [ + "### Download data" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "d723343f-68e9-4c7e-94e3-7c5e75c25b23", + "metadata": {}, + "outputs": [], + "source": [ + "today_date_str_url = date.today().strftime('%Y-%m-%d')\n", + "effis_tiff_file_url = \"https://ies-ows.jrc.ec.europa.eu/effis?LAYERS=ecmwf007.fwi&FORMAT=image/tiff&TRANSPARENT=true&SINGLETILE=false&SERVICE=wms&VERSION=1.1.1&REQUEST=GetMap&STYLES=&SRS=EPSG:4326&BBOX=-6.0,41.0,10.0,52.0&WIDTH=1600&HEIGHT=1200&TIME=\"+today_date_str_url\n", + "\n", + "today_date_str_url = date.today().strftime('%Y_%m_%d')\n", + "filepath_in_bucket = \"fwi/fwi_\"+today_date_str_url+\".geojson\"\n", + "\n", + "### download file from EFFIS and convert it to geodf\n", + "fwi = FWIHelpers()\n", + "gdf_fwi = fwi.get_fwi(effis_tiff_file_url)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "6cedca9b-7de0-4015-a4d8-c4512d7e360e", + "metadata": {}, + "outputs": [], + "source": [ + "gdf_fwi = fwi.fwi_sea_remover(gdf_fwi)\n", + "gdf_fwi['fwi_category'] = gdf_fwi.apply(lambda row: fwi.fwi_category(row['fwi_pixel_value']),axis=1)\n", + "gdf_fwi = gdf_fwi.drop('fwi_pixel_value', axis=1)" + ] + }, + { + "cell_type": "markdown", + "id": "ec7e8251-243c-431f-8d82-20ee5a66d14e", + "metadata": {}, + "source": [ + "### Save data" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "43b3d086-393d-44bc-b775-eb0cdbe761e2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'type': 'FeatureCollection',\n", + " 'crs': {'type': 'name',\n", + " 'properties': {'name': 'urn:ogc:def:crs:OGC:1.3:CRS84'}},\n", + " 'features': [{'type': 'Feature',\n", + " 'properties': 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" [8.299999999999997, 41.00000000000001],\n", + " [8.299999999999997, 41.05500000000001],\n", + " [8.229999999999999, 41.05500000000001]]]}},\n", + " {'type': 'Feature',\n", + " 'properties': {'fwi_category': 1},\n", + " 'geometry': {'type': 'Polygon',\n", + " 'coordinates': [[[8.859999999999998, 41.05500000000001],\n", + " [8.859999999999998, 41.00000000000001],\n", + " [9.139999999999997, 41.00000000000001],\n", + " [9.139999999999997, 41.05500000000001],\n", + " [8.859999999999998, 41.05500000000001]]]}}]}" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "new_json_fwi = fwi.fwi_geojson_maker(gdf_fwi)\n", + "new_json_fwi" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "343c9d01-e08b-4633-bccb-5c3593222b3e", + "metadata": {}, + "outputs": [], + "source": [ + "s3.write_json_to_s3(\n", + " object_key= filepath_in_bucket,\n", + " json_data=new_json_fwi)" + ] + }, + { + "cell_type": "markdown", + "id": "96d39d0d-a8fb-4962-91c1-635ca57b1440", + "metadata": {}, + "source": [ + "### Test\n", + "After locally downloading the file we just uploaded." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "9b3a6671-d241-49fe-a1b5-04c8adb78952", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "gdf = gpd.read_file(\"/Users/camillemodeste/Desktop/test_fwi/fwi_2023_11_03.geojson\")\n", + "gdf.plot(column='fwi_category',cmap=\"jet\", legend=True)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": "3.11.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}