import os
import gradio as gr
import requests
import json

# 🌍 Web search function
def search_web(query):
    try:
        url = "https://api.duckduckgo.com/"
        params = {"q": query, "format": "json", "no_html": 1, "skip_disambig": 1}
        response = requests.get(url, params=params)
        data = response.json()

        if data.get("AbstractText"):
            return data["AbstractText"]
        elif data.get("RelatedTopics"):
            topics = [t.get("Text", "") for t in data["RelatedTopics"] if "Text" in t]
            return " ".join(topics[:3])
        else:
            return "No useful information found."
    except Exception as e:
        return f"Search error: {e}"

# 🧠 Memory setup
HF_TOKEN = os.getenv("HF_TOKEN")
MEMORY_FILE = "memory.json"

def load_memory():
    if os.path.exists(MEMORY_FILE):
        with open(MEMORY_FILE, "r") as f:
            return json.load(f)
    return []

def save_memory(memory):
    with open(MEMORY_FILE, "w") as f:
        json.dump(memory, f)

memory = load_memory()

# 💬 Chat function
def chat_with_model(message, history, context):
    if not isinstance(history, list):
        history = []

    # 🌍 Web search mode
    if message.lower().startswith("search "):
        query = message[7:]
        search_result = search_web(query)
        history.append((message, f"🔎 Here's what I found online:\n\n{search_result}"))
        save_memory(history)
        return history, history

    # 🧠 Build conversation
    conversation = [
        {"role": "system", "content": (
            "You are EduAI, a multilingual educational AI assistant created by a Sri Lankan student named Wafa Fazly. "
            "When solving math, explain step-by-step like a professional tutor. "
            "Use Markdown and LaTeX formatting for equations (use \\[ and \\]). "
            "Keep answers neat, structured, and student-friendly."
        )}
    ]

    for past_user, past_bot in history[-5:]:
        conversation.append({"role": "user", "content": past_user})
        conversation.append({"role": "assistant", "content": past_bot})

    conversation.append({"role": "user", "content": message})

    # 🚀 Send to Hugging Face model
    try:
        response = requests.post(
            "https://router.huggingface.co/v1/chat/completions",
            headers={
                "Authorization": f"Bearer {HF_TOKEN}",
                "Content-Type": "application/json"
            },
            json={
                "model": "deepseek-ai/DeepSeek-V3.2-Exp:novita",
                "messages": conversation
            }
        )

        data = response.json()
        reply = data["choices"][0]["message"]["content"]

        # 🧮 Clean up math formatting
        reply = reply.replace("Step", "\n\n**Step")
        reply = reply.replace(":", ":**")
        reply = reply.replace("\\[", "\n\n\\[")
        reply = reply.replace("\\]", "\\]\n\n")

        if "\\" in reply or "log_" in reply or "^" in reply:
            reply = f"{reply}"

        history.append((message, reply))
        save_memory(history)
        return history, history

    except Exception as e:
        print("Error:", e)
        history.append((message, "😅 EduAI is having trouble connecting right now. Please try again later!"))
        return history, history

# 📘 Sidebar context update
def update_context(choice):
    if not choice:
        return "📘 **You are in General Mode.** Ask EduAI anything about your studies!"
    return f"📘 **You selected {choice} mode.** Ask anything related to this topic!"

# 🧹 Clear chat memory
def clear_memory():
    if os.path.exists(MEMORY_FILE):
        os.remove(MEMORY_FILE)
    return [], "🧹 Chat memory cleared! Start fresh."

# 🎨 Gradio Interface (UI Improved)
with gr.Blocks(theme=gr.themes.Soft(primary_hue="violet")) as iface:
    gr.Markdown(
        """
        # 🎓 **EduAI — Your Smart Study Companion**
        Welcome to **EduAI**, your friendly study assistant! 💬  
        Get help in **Science, ICT, English, Mathematics**, and more.  
        """
    )

    with gr.Row():
        with gr.Column(scale=1, min_width=230):
            gr.Markdown("### 🧭 **Main Menu**")

            with gr.Accordion("📚 Subject Tutor", open=False):
                subj = gr.Radio(
                    ["Science 🧪", "ICT 💻", "English 📘", "Mathematics ➗"],
                    label="Choose a subject"
                )

            with gr.Accordion("🗓 Study Planner", open=False):
                planner = gr.Radio(
                    ["View Plan 📅", "Add Task ✏️", "Study Tips 💡"],
                    label="Planner Options"
                )

            with gr.Accordion("🌐 Languages", open=False):
                lang = gr.Radio(
                    ["Learn Sinhala 🇱🇰", "Learn Tamil 🇮🇳", "Learn English 🇬🇧", "Learn Spanish 🇪🇸"],
                    label="Language Options"
                )

            with gr.Accordion("⚙️ Settings", open=False):
                clear_btn = gr.Button("🧹 Clear Memory")

            with gr.Accordion("👩‍🎓 About", open=False):
                gr.Markdown(
                    """
                    EduAI was designed and fine-tuned by **Wafa Fazly**,  
                    a passionate Sri Lankan student 👩‍💻  
                    to help learners explore **Science, ICT, English, and more** —  
                    in a smart and friendly way! 🌟
                    """
                )

        with gr.Column(scale=4):
            context_display = gr.Markdown("📘 **You are in General Mode.** Ask EduAI anything about your studies!")
            chatbot = gr.Chatbot(
                label="💬 EduAI Chat Window",
                height=450,
                render_markdown=True,
                bubble_full_width=False,
                latex_delimiters=[
                    {"left": "$$", "right": "$$", "display": True},
                    {"left": "\\[", "right": "\\]", "display": True}
                ]
            )
            msg = gr.Textbox(
                label="💭 Type your question here...",
                placeholder="Ask EduAI anything about your studies..."
            )
            send = gr.Button("✨ Send Message")

    # 🪄 Event handlers
    subj.change(update_context, inputs=subj, outputs=context_display)
    planner.change(update_context, inputs=planner, outputs=context_display)
    lang.change(update_context, inputs=lang, outputs=context_display)
    send.click(chat_with_model, inputs=[msg, chatbot, context_display], outputs=[chatbot, chatbot])
    clear_btn.click(clear_memory, outputs=[chatbot, context_display])

iface.launch()