github workflow

.github/workflows/build.yaml

@@ -0,0 +1,14 @@
+name: Build
+on: [push, pull_request]
+jobs:
+  uv-example:
+    name: python
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install uv
+        uses: astral-sh/setup-uv@v6
+      - name: uv build
+        run: uv build --verbose

main.py

@@ -1,6 +0,0 @@
-def main():
-    print("Hello from hardverapro-mcp!")
-
-
-if __name__ == "__main__":
-    main()

pyproject.toml

@@ -9,3 +9,8 @@ dependencies = [
     "gradio[mcp]>=5.34.2",
     "requests>=2.32.4",
 ]
+[tool.setuptools.package-dir]
+"scraper" = "src/scraper"
+
+[project.scripts]
+run-scraper = "run:main"

run.py

@@ -1,4 +1,10 @@
-import scraper
+import sys
+from pathlib import Path
+
+# Add the src directory to Python path
+sys.path.append(str(Path(__file__).parent / "src"))
+
+from scraper import categories, search, fetch
 import gradio as gr
 
 def hardverapro_search(query: str,offset: int = 0, category: str = "All")-> list:
@@ -16,7 +22,7 @@ def hardverapro_search(query: str,offset: int = 0, category: str = "All")-> list
             - 'price' (str): The price listed
             - 'link' (str): A full URL to the listing
     """
-    raw = scraper.search(query,offset=offset,category=category)
+    raw = search(query,offset=offset,category=category)
     return [[r["title"], r["price"], r["link"]] for r in raw]
 
 def hardverapro_fetch(url: str) -> dict:
@@ -32,7 +38,7 @@ def hardverapro_fetch(url: str) -> dict:
             - 'description' (str): The description of the listing
             - 'img' (str): A full URL to the image
     """
-    return scraper.fetch(url)
+    return fetch(url)
 
 
 
@@ -41,7 +47,7 @@ iface_search = gr.Interface(
     inputs=[
         gr.Textbox(label="Search query"),
         gr.Number(label="Offset (e.g. 100, 200)", value=0),
-        gr.Dropdown(choices=scraper.categories, value="All"),
+        gr.Dropdown(choices=categories, value="All"),
         ],
     outputs=gr.Dataframe(headers=["title", "price", "link"], type="array"),
     title="HardverApró Search"
@@ -61,8 +67,6 @@ tabbed_interface = gr.TabbedInterface(
 
 
 def main():
-    #scraper.fetch("https://hardverapro.hu/apro/sff_2_5_10k_15k_sas_hdd-k_1_2tb-ig/friss.html")
-    #iface.launch(mcp_server=True)
     tabbed_interface.launch(mcp_server=True)
 
 if __name__ == "__main__":

src/scraper/__init__.py

@@ -0,0 +1,4 @@
+__version__ = "1.0.0"
+from .scraper import categories, search, fetch
+
+__all__ = ["fetch", "search", "categories"]

src/scraper/scraper.py

@@ -7,6 +7,7 @@ SEARCH_URL="keres.php?stext="
 
 categoriesMap = {
     "All": "",
+    "Hardver": "hardver",
     "Alaplap": "hardver/alaplap/",
     "Processzor": "hardver/processzor/",
     "Memória": "hardver/memoria/",
@@ -18,6 +19,7 @@ categoriesMap = {
     "Szerver SSD, HDD": "hardver/merevlemez_ssd/szerver_hdd_ssd/",
     "Adathordozó": "hardver/adathordozo/",
     "Hálózati termékek": "hardver/halozati_termekek/",
+    "Switch, HUB": "hardver/halozati_termekek/router_switch_repeater/switch_hub/",
     "3D nyomtatás": "hardver/3d_nyomtatas/",
     "Nyomtató, szkenner": "hardver/nyomtato_szkenner/",
     "Játékvezérlő, szimulátor": "hardver/jatekvezerlo/",
@@ -90,4 +92,8 @@ def findCategories(url= "https://hardverapro.hu/aprok/hardver/index.html"):
         name = a_tag.text.strip()
         href = a_tag['href'] if a_tag and a_tag.has_attr('href') else 'No link'
         href = href.rsplit('/',1)[0][6:] + '/'
-        print(f"\"{name}\": \"{href}\",")
+        print(f"\"{name}\": \"{href}\",")
+
+
+# Export it explicitly
+__all__ = ['categories', 'search', 'fetch']  # optional, but good practice