feat: new controller and databse connection

.env.example

@@ -0,0 +1,2 @@
+SUPABASE_URL="YOUR_SUPABASE_URL"
+SUPABASE_KEY="YOUR_SUPABASE_ANON_KEY"

.gitignore

@@ -0,0 +1,5 @@
+venv
+env
+.env
+__pycache__
+model

README.md

@@ -1,12 +1,13 @@
 ---
 title: Predictive Machine
-emoji: 📊
+emoji: 🚨
 colorFrom: pink
 colorTo: indigo
 sdk: docker
-pinned: false
+pinned: true
 license: apache-2.0
 short_description: Predictive Machine Copilot for Asah by Dicoding x Accenture
+datasets: https://www.kaggle.com/datasets/shivamb/machine-predictive-maintenance-classification/data
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -1,7 +1,14 @@
 from fastapi import FastAPI
 
+from database import Database
+
 app = FastAPI()
+database = Database()
 
 @app.get("/")
 def greet_json():
     return {"Hello": "World!"}
+
+@app.get("/predict-machine")
+def predict_machine():
+    return database.get_sensor_readings()

controller.py

@@ -0,0 +1,14 @@
+from database import Database
+
+class Controller():
+    def __init__(self):
+        self.__database = Database()
+        self.__sensor = self.__database.get_sensor_readings()
+
+    # Binary method
+    
+    # Classification Method
+    
+    # Time series method
+    def predict_time_series(self):
+        self.__sensor 

database.py

@@ -0,0 +1,28 @@
+import os
+from dotenv import load_dotenv
+from supabase import create_client, Client
+
+load_dotenv()
+
+class Database():
+    def __init__(self):
+        self.__url = os.environ.get("SUPABASE_URL") or ""
+        self.__key: str = os.environ.get("SUPABASE_KEY") or ""
+        
+        if not self.__url or not self.__key:
+            raise ValueError("SUPABASE_URL or SUPABASE_KEY is missing in environment")
+            
+        self.__supabase: Client = create_client(self.__url, self.__key)
+
+    def get_sensor_readings(self):
+        response = (
+            self.__supabase.table("sensor_readings")
+            .select("*")
+            .order("created_at", desc=True)
+            .limit(1)
+            .execute()
+        )
+        
+        if response.data:
+            return response.data[0]
+        return None

requirements.txt

@@ -1,2 +1,3 @@
 fastapi[standard]
 uvicorn[standard]
+supabase