Update weather.py

weather.py

@@ -0,0 +1,84 @@
+import json
+import re
+import datasets
+import requests
+import time
+from bs4 import BeautifulSoup
+
+_CITATION = """
+@misc{weather-dataset,
+    title = "Weather Dataset",
+    author = "ICE",
+    year = "2025",
+    url = "https://huggingface.co/datasets/FrostIce/Weather"
+}
+"""
+
+_DESCRIPTION = """
+Этот набор данных содержит информацию о погоде, полученную с различных погодных сайтов.
+Он включает такие данные, как температура, влажность, скорость ветра и погодные условия
+для разных мест. Набор данных регулярно обновляется, чтобы отражать последние погодные данные."""
+
+_HOMEPAGE = "https://huggingface.co/ProICE"
+_LICENSE = "ICE License, Version 2.0"
+
+_URLS = {
+    "weather": "https://weather.com/"  # Replace with actual weather page URL
+}
+
+_VERSION = datasets.Version("1.0.0")
+
+class WeatherDataset(datasets.GeneratorBasedBuilder):
+    """Weather dataset for scraping weather information."""
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "location": datasets.Value("string"),
+                "temperature": datasets.Value("float32"),
+                "humidity": datasets.Value("float32"),
+                "wind_speed": datasets.Value("float32"),
+                "condition": datasets.Value("string"),
+                "timestamp": datasets.Value("string"),
+            }
+        )
+
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        downloaded_files = dl_manager.download_and_extract(_URLS)
+        return [
+            datasets.SplitGenerator(name="weather", gen_kwargs={"filepath": downloaded_files["weather"]}),
+        ]
+
+    def _generate_examples(self, filepath):
+        """Yields examples."""
+        # Scrape weather data from the specified URL
+        response = requests.get(filepath)
+        soup = BeautifulSoup(response.content, 'html.parser')
+
+        # Example parsing logic (this will depend on the actual HTML structure of the page)
+        # You will need to inspect the weather.com page to find the correct classes/IDs
+        for weather_entry in soup.find_all('div', class_='CurrentConditions--primary--2SVPh'):  # Adjust class name
+            location = soup.find('h1', class_='CurrentConditions--location--1Ayv3').text  # Adjust class name
+            temperature = float(weather_entry.find('span', class_='CurrentConditions--tempValue--3KcTQ').text.replace('°', ''))  # Adjust class name
+            humidity = float(weather_entry.find('span', class_='CurrentConditions--humidity--AlSGP').text.replace('Humidity', '').replace('%', '').strip())  # Adjust class name
+            wind_speed = float(weather_entry.find('span', class_='CurrentConditions--windValue--3Kx8I').text.replace(' km/h', '').strip())  # Adjust class name
+            condition = weather_entry.find('div', class_='CurrentConditions--phraseValue--2xXSr').text  # Adjust class name
+            timestamp = time.now().isoformat()  # Use current timestamp or extract from the page if available
+
+            yield location, {
+                "location": location,
+                "temperature": temperature,
+                "humidity": humidity,
+                "wind_speed": wind_speed,
+                "condition": condition,
+                "timestamp": timestamp,
+            }