filtre tableau sondes en panne

Technique.py

@@ -1,74 +1,99 @@
-import streamlit as st
-import pandas as pd
-from utils.db import get_latest_chaufferie, get_history_by_sonde, verifier_utilisateur_commun
+import mysql.connector
+import os
+from dotenv import load_dotenv
 
-st.set_page_config(page_title="Tech Chaufferie", layout="wide")
+load_dotenv()
 
-def login_commun():
-    login = st.text_input("Identifiant", type="default")
-    password = st.text_input("Mot de passe", type="password")
+def lire_alertes_sondes():
+    conn = None
+    cursor = None
+    try:
+        conn = get_connection()
+        cursor = conn.cursor(dictionary=True)
+        cursor.execute("SELECT * FROM Alertes_Chaufferie ORDER BY Debut_defaut DESC")
+        return cursor.fetchall()
+    except Exception as e:
+        import streamlit as st
+        st.warning(f"Erreur lecture alertes : {e}")
+        return []
+    finally:
+        if cursor:
+            cursor.close()
+        if conn and conn.is_connected():
+            conn.close()
 
-    if st.button("Se connecter"):
-        user = verifier_utilisateur_commun(login, password)
-        if user:
-            st.session_state["authenticated"] = True
-            st.session_state["utilisateur"] = user["NomUtilisateur"]
-            st.success("✅ Connexion réussie")
-            st.rerun()
-        else:
-            st.error("❌ Identifiants incorrects ou expirés")
+def acquitter_alerte(id_alerte):
+    conn = None
+    cursor = None
+    try:
+        conn = get_connection()
+        cursor = conn.cursor()
+        cursor.execute("UPDATE Alertes_Chaufferie SET Etat = 'Acquitté' WHERE Id = %s", (id_alerte,))
+        conn.commit()
+    except Exception as e:
+        import streamlit as st
+        st.warning(f"Erreur lors de l'acquittement : {e}")
+    finally:
+        if cursor:
+            cursor.close()
+        if conn and conn.is_connected():
+            conn.close()
 
-# Authentification
-if "authenticated" not in st.session_state:
-    st.session_state["authenticated"] = False
 
-if not st.session_state["authenticated"]:
-    st.title("🔧 Suivi des sondes de la chaufferie")
-    st.subheader("🔐 Connexion technicien chaufferie")
-    login_commun()
-    st.stop()
-with st.sidebar:
-    st.markdown(f"👤 Connecté en tant que **{st.session_state['utilisateur']}**")
-    if st.button("🔓 Se déconnecter"):
-        st.session_state.clear()
-        st.rerun()
-# --- Affichage principal ---
-st.title("🔧 Suivi des sondes de la chaufferie")
+def verifier_utilisateur_commun(login, password):
+    conn = get_connection()
+    cursor = conn.cursor(dictionary=True)
 
-data = get_latest_chaufferie()
-df = pd.DataFrame(data)
+    query = """
+        SELECT NomUtilisateur FROM Commun.AccesUtilisateurs
+        WHERE NomUtilisateur = %s
+          AND MotDePasse = %s
+          AND (DateExpiration IS NULL OR DateExpiration >= CURDATE())
+    """
+    cursor.execute(query, (login, password))
+    user = cursor.fetchone()
+    cursor.close()
+    conn.close()
+    return user  # None si non trouvée
 
-# Ajout d'un statut couleur
-def statut(temp):
-    if temp > 75:
-        return "❌ Très chaud"
-    elif temp > 60:
-        return "⚠️ Surveiller"
-    else:
-        return "✅ OK"
+def get_connection():
+    return mysql.connector.connect(
+        host=os.getenv("DB_HOST"),
+        user=os.getenv("DB_USER"),
+        password=os.getenv("DB_PASSWORD"),
+        database=os.getenv("DB_NAME")
+    )
 
-df["Statut"] = df["Temperature"].apply(statut)
+def get_latest_chaufferie():
+    conn = get_connection()
+    cursor = conn.cursor(dictionary=True)
+    query = """
+        SELECT c1.Sonde, c1.Temperature, c1.Date, c1.Topic
+        FROM Chaufferie c1
+        INNER JOIN (
+            SELECT Sonde, MAX(Date) AS MaxDate
+            FROM Chaufferie
+            GROUP BY Sonde
+        ) c2 ON c1.Sonde = c2.Sonde AND c1.Date = c2.MaxDate
+        ORDER BY c1.Topic, c1.Sonde
+    """
+    cursor.execute(query)
+    data = cursor.fetchall()
+    cursor.close()
+    conn.close()
+    return data
 
-# Séparer par topic
-for topic in df["Topic"].unique():
-    st.subheader(f"Zone : {topic}")
-    st.dataframe(df[df["Topic"] == topic][["Sonde", "Temperature", "Date", "Statut"]], use_container_width=True)
-
-# Graphique historique
-st.markdown("---")
-st.header("📈 Historique par sonde (24h)")
-
-sonde_selection = st.selectbox("Choisir une sonde à afficher", df["Sonde"].unique())
-
-if sonde_selection:
-    historique = get_history_by_sonde(sonde_selection)
-    if historique:
-        df_hist = pd.DataFrame(historique)
-        df_hist["Date"] = pd.to_datetime(df_hist["Date"])
-
-        st.line_chart(
-            df_hist.set_index("Date")["Temperature"],
-            use_container_width=True
-        )
-    else:
-        st.info("Aucune donnée disponible pour cette sonde dans les dernières 24h.")
+def get_history_by_sonde(sonde_name):
+    conn = get_connection()
+    cursor = conn.cursor(dictionary=True)
+    query = """
+        SELECT Date, Temperature
+        FROM Chaufferie
+        WHERE Sonde = %s AND Date >= NOW() - INTERVAL 1 DAY
+        ORDER BY Date ASC
+    """
+    cursor.execute(query, (sonde_name,))
+    data = cursor.fetchall()
+    cursor.close()
+    conn.close()
+    return data