app.py

import gradio as gr
import pandas as pd
import os
import cv2
import mediapipe as mp
from datetime import datetime, timedelta
import random
import firebase_admin
from firebase_admin import credentials, firestore

# Firebase Initialization
if not firebase_admin._apps:
    try:
        cred = credentials.Certificate("growkids-f8bfe-firebase-adminsdk-koo88-8a3a33da6d")  # Replace with your Firebase credentials JSON file
        firebase_admin.initialize_app(cred)
        db = firestore.client()
        print("Firebase initialized successfully!")
    except Exception as e:
        print(f"Error initializing Firebase: {e}")
        raise e  # Reraise to stop further execution if Firebase setup fails

# MediaPipe Pose Detection Setup
mp_pose = mp.solutions.pose
pose = mp_pose.Pose(static_image_mode=False, model_complexity=1, enable_segmentation=True)
mp_drawing = mp.solutions.drawing_utils

def analyze_pose(proof_file, task):
    """Analyze uploaded image/video to detect pose and validate the task."""
    try:
        if proof_file.name.endswith(('.jpg', '.jpeg', '.png')):  # Image proof
            image = cv2.imread(proof_file.name)
            if image is None:
                return "Invalid image file. Please retry."
            image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
            results = pose.process(image_rgb)
            if results.pose_landmarks:
                return f"Pose detected successfully for '{task}'! Proof is valid."
            else:
                return f"No pose detected in the uploaded image for '{task}'. Please retry."
        elif proof_file.name.endswith(('.mp4', '.avi', '.mov')):  # Video proof
            cap = cv2.VideoCapture(proof_file.name)
            pose_detected = False
            while cap.isOpened():
                ret, frame = cap.read()
                if not ret:
                    break
                image_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
                results = pose.process(image_rgb)
                if results.pose_landmarks:
                    pose_detected = True
                    break
            cap.release()
            return (
                f"Pose detected successfully in video for '{task}'! Proof is valid."
                if pose_detected
                else f"No pose detected in video for '{task}'. Please retry."
            )
        else:
            return "Invalid file format. Please upload an image or video."
    except Exception as e:
        print(f"Error in analyze_pose: {e}")
        return f"Error analyzing the file: {e}"

def submit_proof(username, task, proof):
    """Submit proof of task completion and validate using pose analysis."""
    try:
        if not proof:
            return "Please upload a valid proof file (Image/Video)."

        # Validate if the task exists for the username in Firebase
        user_doc = db.collection("users").document(username.lower()).get()
        if not user_doc.exists:
            return f"User '{username}' not found. Please check the username."

        user_data = user_doc.to_dict()
        user_tasks = user_data.get("tasks", [])
        task_names = [t["task"] for t in user_tasks]
        if task not in task_names:
            return f"Task '{task}' not found for the user '{username}'. Please check the task name."

        # Check if proof has already been uploaded for the task
        for t in user_tasks:
            if t["task"] == task and t.get("proof_uploaded"):
                return f"Proof already uploaded for task '{task}'. Please upload a new proof if necessary."

        # Analyze the proof file
        analysis_result = analyze_pose(proof, task)
        if "successfully" not in analysis_result:
            return analysis_result

        # Log proof submission in Firebase (without assigning reward)
        try:
            timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
            # Update the task status to 'completed' but do not assign a reward here
            for t in user_tasks:
                if t["task"] == task:
                    t["status"] = "completed"
                    t["timestamp"] = timestamp
                    t["proof_uploaded"] = True  # Mark that proof has been uploaded

            # Save updated task status in Firebase
            db.collection("users").document(username.lower()).set({"tasks": user_tasks}, merge=True)

            print(f"Proof for task '{task}' submitted successfully for {username}!")
            return f"Task '{task}' completed successfully! Please assign a reward in the 'Progress and Rewards Tracker' tab."
        except Exception as e:
            print(f"Error logging proof submission in Firebase: {e}")
            return f"Error submitting proof to Firebase: {e}"
    except Exception as e:
        print(f"Error submitting proof: {e}")
        return f"Error: {e}"

def generate_fitness_tasks(username, age, fitness_level):
    """Generate a single fitness task based on user's age and fitness level."""
    try:
        age = int(age)  # Convert age to integer
        if not (7 <= age <= 14):
            return "Age must be between 7 and 14.", ""  # Early return on invalid age

        if fitness_level not in ["beginner", "intermediate", "advanced"]:
            return "Please select a valid fitness level.", ""  # Early return on invalid fitness level

        # Task definitions based on age and fitness level
        tasks = {
            (7, 10): {
                "beginner": {"task": "Jumping Jacks", "details": "10 reps"},
                "intermediate": {"task": "Push-ups", "details": "10 reps"},
                "advanced": {"task": "Squats", "details": "10 reps"},
            },
            (11, 12): {
                "beginner": {"task": "Jumping Jacks", "details": "15 reps"},
                "intermediate": {"task": "Push-ups", "details": "15 reps"},
                "advanced": {"task": "Squats", "details": "15 reps"},
            },
            (13, 14): {
                "beginner": {"task": "Jumping Jacks", "details": "20 reps"},
                "intermediate": {"task": "Push-ups", "details": "20 reps"},
                "advanced": {"task": "Squats", "details": "20 reps"},
            }
        }

        # Determine the task set based on age and fitness level
        for age_range, level_tasks in tasks.items():
            if age_range[0] <= age <= age_range[1]:
                selected_task = level_tasks[fitness_level]
                break
        else:
            return "Invalid age range. Tasks not available.", ""

        # Save the task in Firebase for the user
        user_doc = db.collection("users").document(username.lower()).get()
        if not user_doc.exists:
            return f"User '{username}' not found. Please sign up first.", ""

        task_list = [{"task": selected_task["task"], "details": selected_task["details"], "status": "pending", "proof_uploaded": False}]
        db.collection("users").document(username.lower()).set({"tasks": task_list}, merge=True)

        # Return task and a message
        task_display = f"{selected_task['task']} - {selected_task['details']}"
        return f"Task generated successfully for {username}.", task_display
    except Exception as e:
        print(f"Error in generate_fitness_tasks: {e}")
        return f"Error generating tasks: {e}", ""

def view_activity_log(username):
    """Retrieve and display user's activity log from Firebase."""
    try:
        # Fetch user data from Firebase
        user_doc = db.collection("users").document(username.lower()).get()
        if not user_doc.exists:
            return f"User '{username}' not found."

        user_data = user_doc.to_dict()
        user_tasks = user_data.get("tasks", [])

        # Convert task data into a pandas DataFrame for display
        tasks_data = [
            {
                "Task": task["task"],
                "Details": task["details"],
                "Status": task["status"],
                "Timestamp": task.get("timestamp", "Not available"),
                "Proof Uploaded": task.get("proof_uploaded", False),
                "Reward": task.get("reward", "Not assigned")
            }
            for task in user_tasks
        ]

        df = pd.DataFrame(tasks_data)
        return df
    except Exception as e:
        print(f"Error fetching activity log: {e}")
        return f"Error fetching activity log: {e}"

def assign_reward(username, task, reward):
    """Assign reward to a task for a specific user."""
    try:
        # Fetch user data from Firebase
        user_doc = db.collection("users").document(username.lower()).get()
        if not user_doc.exists:
            return f"User '{username}' not found."

        user_data = user_doc.to_dict()
        user_tasks = user_data.get("tasks", [])

        # Check if the task exists and is completed
        for t in user_tasks:
            if t["task"] == task and t.get("status") == "completed":
                t["reward"] = reward  # Assign the reward
                db.collection("users").document(username.lower()).set({"tasks": user_tasks}, merge=True)
                return f"Reward '{reward}' assigned to task '{task}' for user '{username}'."

        return f"Task '{task}' not completed or not found for user '{username}'."

    except Exception as e:
        print(f"Error assigning reward: {e}")
        return f"Error assigning reward: {e}"

def create_app():
    with gr.Blocks() as app:
        gr.Markdown("## Fitness Challenge App with Firebase Integration")

        # Sign Up / Login
        with gr.Tab("Sign Up / Login"):
            username_input = gr.Textbox(label="Enter Username")
            password_input = gr.Textbox(label="Enter Password", type="password")  # Password field
            sign_up_login_btn = gr.Button("Sign Up / Login")
            sign_up_login_status = gr.Textbox(label="Status")

            def handle_sign_up_login(username, password):
                try:
                    user_doc = db.collection("users").document(username.lower()).get()
                    if user_doc.exists:
                        stored_password = user_doc.get("password")
                        if stored_password == password:
                            return f"Welcome back, {username}!", None  # If password matches, login success
                        else:
                            return "Incorrect password. Please try again.", None
                    else:
                        # If user does not exist, sign up
                        db.collection("users").document(username.lower()).set({"username": username.lower(), "password": password}, merge=True)
                        return f"Sign-up successful! Welcome, {username}!", None
                except Exception as e:
                    return f"Error: {e}", None

            sign_up_login_btn.click(handle_sign_up_login, [username_input, password_input], sign_up_login_status)

        # Generate Tasks
        with gr.Tab("Generate Tasks"):
            username_gen = gr.Textbox(label="Enter Username")
            age = gr.Textbox(label="Enter Age (7-14)", placeholder="E.g., 10")
            fitness_level = gr.Radio(["beginner", "intermediate", "advanced"], label="Fitness Level")
            generate_btn = gr.Button("Generate Tasks")
            task_output = gr.Textbox(label="Task Status")
            task_display = gr.Textbox(label="Generated Task", interactive=False)

            generate_btn.click(generate_fitness_tasks, [username_gen, age, fitness_level], [task_output, task_display])

        # Submit Proof
        with gr.Tab("Submit Proof"):
            username_proof = gr.Textbox(label="Enter Username")
            task_name = gr.Textbox(label="Enter Task Name")
            proof_upload = gr.File(label="Upload Proof (Image/Video)")
            submit_btn = gr.Button("Submit Proof")
            submission_status = gr.Textbox(label="Submission Status")

            submit_btn.click(submit_proof, [username_proof, task_name, proof_upload], submission_status)

        # Progress and Rewards Tracker
        with gr.Tab("Progress and Rewards Tracker"):
            username_log = gr.Textbox(label="Enter Username")
            log_output = gr.DataFrame(label="Progress and Rewards")
            log_btn = gr.Button("View Tracker")
            reward_selector = gr.Radio(["Toy", "Little Buck", "Chocolate"], label="Select Reward")
            task_to_reward = gr.Textbox(label="Task Name to Assign Reward")
            assign_btn = gr.Button("Assign Reward")
            reward_status = gr.Textbox(label="Reward Assignment Status")

            log_btn.click(view_activity_log, [username_log], log_output)
            assign_btn.click(assign_reward, [username_log, task_to_reward, reward_selector], reward_status)

    return app

app = create_app()
app.launch()