Update app.py

app.py

@@ -1145,7 +1145,6 @@ def fetch_and_store_data_market():
     latest_doc = market_price_data.find_one(sort=[("Reported Date", -1)])
     if latest_doc and "Reported Date" in latest_doc:
         latest_date = latest_doc["Reported Date"]
-        st.write("Latest Date: ", latest_date)
     else:
         latest_date = None
 
@@ -1158,14 +1157,11 @@ def fetch_and_store_data_market():
     to_date = (datetime.now() - timedelta(days=1)).strftime('%d %b %Y')
     from_date_obj = datetime.strptime(from_date, '%d %b %Y')
     to_date_obj = datetime.strptime(to_date, '%d %b %Y')
-    st.write(to_date_obj)
-    st.write(from_date_obj)
     
     if to_date_obj <= from_date_obj:
         st.write("Data already scraped")
         return None
     base_url = "https://agmarknet.gov.in/SearchCmmMkt.aspx"
-    st.write(base_url)
     params = {
         "Tx_Commodity": "11",
         "Tx_State": "0",
@@ -1191,16 +1187,12 @@ def fetch_and_store_data_market():
     }
 
     response = requests.get(api_url, params=scraperapi_params)
-    st.write("Response: ", response.status_code)
     if response.status_code == 200:
         soup = BeautifulSoup(response.content, 'html.parser')
         if soup:
-            st.write("Got html content")
-            st.write(soup.contents)
         table = soup.find("table", {"class": "tableagmark_new"})
         if table:
             headers = [th.get_text(strip=True) for th in table.find_all("th")]
-            st.write("Got all headers")
             rows = []
 
             for row in table.find_all("tr")[1:]:
@@ -1325,7 +1317,6 @@ if st.session_state.authenticated:
     st.title("🌾 AgriPredict Dashboard")
     if st.button("Get Live Data Feed"):
         fetch_and_store_data()
-        st.write("Now executing Market scraper: ")
         fetch_and_store_data_market()
     view_mode = st.radio("", ["Statistics", "Plots", "Predictions", "Exim"], horizontal=True)