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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/robert/Documents/scalable-ml/hbg-weather/.venv/lib/python3.12/site-packages/gradio_client/documentation.py:106: UserWarning: Could not get documentation group for <class 'gradio.mix.Parallel'>: No known documentation group for module 'gradio.mix'\n",
" warnings.warn(f\"Could not get documentation group for {cls}: {exc}\")\n",
"/home/robert/Documents/scalable-ml/hbg-weather/.venv/lib/python3.12/site-packages/gradio_client/documentation.py:106: UserWarning: Could not get documentation group for <class 'gradio.mix.Series'>: No known documentation group for module 'gradio.mix'\n",
" warnings.warn(f\"Could not get documentation group for {cls}: {exc}\")\n"
]
}
],
"source": [
"import gradio as gr\n",
"import pandas as pd\n",
"import numpy as np\n",
"import random\n",
"import os \n",
"import hopsworks"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Connected. Call `.close()` to terminate connection gracefully.\n",
"\n",
"Logged in to project, explore it here https://c.app.hopsworks.ai:443/p/1160340\n",
"2024-11-19 17:58:26,633 WARNING: using legacy validation callback\n",
"Connected. Call `.close()` to terminate connection gracefully.\n",
"Finished: Reading data from Hopsworks, using Hopsworks Feature Query Service (2.16s) \n",
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 1589 entries, 0 to 1588\n",
"Data columns (total 6 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 date 1589 non-null object \n",
" 1 pm25 1589 non-null float32\n",
" 2 country 1589 non-null object \n",
" 3 city 1589 non-null object \n",
" 4 street 1589 non-null object \n",
" 5 url 1589 non-null object \n",
"dtypes: float32(1), object(5)\n",
"memory usage: 68.4+ KB\n",
"None\n",
" date pm25 country city street \\\n",
"0 2024-02-23 18.0 Sweden Helsingborg Drottninggatan \n",
"1 2021-09-22 36.0 Sweden Helsingborg Drottninggatan \n",
"2 2022-09-25 55.0 Sweden Helsingborg Drottninggatan \n",
"3 2024-08-25 24.0 Sweden Helsingborg Drottninggatan \n",
"4 2023-01-06 18.0 Sweden Helsingborg Drottninggatan \n",
"\n",
" url \n",
"0 https://api.waqi.info/feed/@12519/ \n",
"1 https://api.waqi.info/feed/@12519/ \n",
"2 https://api.waqi.info/feed/@12519/ \n",
"3 https://api.waqi.info/feed/@12519/ \n",
"4 https://api.waqi.info/feed/@12519/ \n"
]
}
],
"source": [
"\n",
"from datetime import datetime, timedelta\n",
"now = datetime.now()\n",
"\n",
"api_key = os.getenv('HOPSWORKS_API_KEY')\n",
"project_name = os.getenv('HOPSWORKS_PROJECT')\n",
"\n",
"project = hopsworks.login(project=project_name, api_key_value=api_key)\n",
"fs = project.get_feature_store() \n",
"\n",
"air_quality_fg = fs.get_feature_group(\n",
" name='air_quality',\n",
" version=1,\n",
")\n",
"air_quality_df = air_quality_fg.read()\n",
"air_quality_df\n",
"\n",
"print(air_quality_df.info())\n",
"print(air_quality_df.head())"
]
},
{
"cell_type": "code",
"execution_count": 7,
"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>date</th>\n",
" <th>pm25</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2024-02-23</td>\n",
" <td>18.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2021-09-22</td>\n",
" <td>36.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2022-09-25</td>\n",
" <td>55.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2024-08-25</td>\n",
" <td>24.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2023-01-06</td>\n",
" <td>18.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1584</th>\n",
" <td>2022-11-26</td>\n",
" <td>42.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1585</th>\n",
" <td>2021-02-27</td>\n",
" <td>35.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1586</th>\n",
" <td>2021-10-26</td>\n",
" <td>36.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1587</th>\n",
" <td>2022-05-12</td>\n",
" <td>21.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1588</th>\n",
" <td>2024-11-16</td>\n",
" <td>34.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>1589 rows × 2 columns</p>\n",
"</div>"
],
"text/plain": [
" date pm25\n",
"0 2024-02-23 18.0\n",
"1 2021-09-22 36.0\n",
"2 2022-09-25 55.0\n",
"3 2024-08-25 24.0\n",
"4 2023-01-06 18.0\n",
"... ... ...\n",
"1584 2022-11-26 42.0\n",
"1585 2021-02-27 35.0\n",
"1586 2021-10-26 36.0\n",
"1587 2022-05-12 21.0\n",
"1588 2024-11-16 34.0\n",
"\n",
"[1589 rows x 2 columns]"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"air_quality_df[['date', 'pm25']]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"\n",
"with gr.Blocks() as demo:\n",
" gr.Markdown(\"Helsingborg Air Quality Forecast\")\n",
" gr.LinePlot(air_quality_df, x=\"time\", y=\"price\")\n",
" gr.ScatterPlot(air_quality_df['pm25'], x=\"time\", y=\"price\", color=\"origin\")\n",
"\n",
"demo.launch() "
]
}
],
"metadata": {
"kernelspec": {
"display_name": ".venv",
"language": "python",
"name": "python3"
},
"language_info": {
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"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.4"
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