Prépare les données

applications/data.ipynb

@@ -0,0 +1,151 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Conversion des bases en geoparquet\n",
+    "\n",
+    "## 1. La base dvf"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import requests\n",
+    "import os\n",
+    "\n",
+    "url = \"https://files.data.gouv.fr/geo-dvf/latest/csv/2022/full.csv.gz\"\n",
+    "file_name = \"dvf.csv.gz\"\n",
+    "\n",
+    "# Check if the file already exists\n",
+    "if not os.path.exists(file_name):\n",
+    "    response = requests.get(url)\n",
+    "\n",
+    "    if response.status_code == 200:\n",
+    "        with open(file_name, \"wb\") as f:\n",
+    "            f.write(response.content)\n",
+    "        print(\"Téléchargement réussi.\")\n",
+    "    else:\n",
+    "        print(f\"Échec du téléchargement. Code d'état : {response.status_code}\")\n",
+    "else:\n",
+    "    print(f\"Le fichier '{file_name}' existe déjà. Aucun téléchargement nécessaire.\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import geopandas as gpd\n",
+    "dvf = pd.read_csv(\"dvf.csv.gz\", dtype={'code_commune': \"str\", \"code_departement\": \"str\"})\n",
+    "gdf = gpd.GeoDataFrame(\n",
+    "    dvf,\n",
+    "    geometry=gpd.points_from_xy(x=dvf.longitude, y=dvf.latitude)\n",
+    ")\n",
+    "gdf.set_crs(epsg=4326)\n",
+    "object_cols = gdf.select_dtypes(['object']).columns\n",
+    "gdf[object_cols] = gdf[object_cols].astype('string')\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "gdf.to_parquet(\"dvf.parquet\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import duckdb\n",
+    "duckdb.execute(\"INSTALL spatial;\")\n",
+    "duckdb.execute(\"LOAD spatial;\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "duckdb.sql(\"SELECT * FROM read_parquet('dvf.parquet')\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "reference_lon = 2.3602  # Replace with your reference longitude\n",
+    "reference_lat = 48.9245 # Replace with your reference latitude\n",
+    "\n",
+    "# Approximate 1 km in degrees (0.009 degrees latitude/longitude)\n",
+    "buffer_distance_deg = 0.009\n",
+    "\n",
+    "# Updated query with approximate filtering using bounding box method\n",
+    "toto = duckdb.sql(\n",
+    "    f\"\"\"\n",
+    "    SELECT *\n",
+    "    FROM read_parquet('dvf.parquet')\n",
+    "    WHERE\n",
+    "        bbox.xmin BETWEEN {reference_lon - buffer_distance_deg} AND {reference_lon + buffer_distance_deg}\n",
+    "        AND bbox.ymin BETWEEN {reference_lat - buffer_distance_deg} AND {reference_lat + buffer_distance_deg}\n",
+    "    \"\"\"\n",
+    ").to_df()\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "duckdb.sql(f'CREATE OR REPLACE VIEW dvf AS SELECT * FROM read_parquet(\"dvf.parquet\")')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "duckdb.sql(\"SELECT * FROM dvf LIMIT 5\").df().head(2)"
+   ]
+  }
+ ],
+ "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": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}