feat: add AI chat and summarize endpoints with database integration

- Implemented a new chat endpoint that utilizes Groq for chat completions based on news articles.
- Added a summarize endpoint that fetches news articles from the database and generates summaries using Groq.
- Introduced a new package "@vueuse/core" for improved reactivity.
- Created a comprehensive command UI component with various subcomponents for better user interaction.
- Developed a scraping module using Scrapy to fetch news articles from Google News.
- Added validation and sanitization for slug parameters in the fetch article endpoint.

scraping/.python-version

@@ -0,0 +1 @@
+3.13

scraping/main.py

@@ -0,0 +1,12 @@
+import scrapy
+
+class BlogSpider(scrapy.Spider):
+    name = 'blogspider'
+    start_urls = ['https://news.google.com/u/4/home?hl=zh-TW&gl=TW&ceid=TW:zh-Hant&pageId=none']
+
+    def parse(self, response):
+        for title in response.css('.oxy-post-title'):
+            yield {'title': title.css('::text').get()}
+
+        for next_page in response.css('a.next'):
+            yield response.follow(next_page, self.parse)

scraping/pyproject.toml

@@ -0,0 +1,7 @@
+[project]
+name = "scraping"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.13"
+dependencies = []

scraping/requirements.txt

@@ -0,0 +1 @@
+scrapy

scraping/uv.lock

@@ -0,0 +1,8 @@
+version = 1
+revision = 1
+requires-python = ">=3.13"
+
+[[package]]
+name = "scraping"
+version = "0.1.0"
+source = { virtual = "." }