import os
import gradio as gr
from huggingface_hub import InferenceClient
from noaa_incidents import NOAAIncidentDB, NOAAIncidentScraper
import json
from datetime import datetime

# Initialize Hugging Face client
client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")


class NOAAIncidentApp:
    def __init__(self):
        """Initialize the NOAA Incident App with database and chatbot components."""
        self.db = NOAAIncidentDB(persist_directory="noaa_db")
        self.last_update = None
        self._load_last_update_time()

    def _load_last_update_time(self):
        """Load the last update time from metadata file."""
        try:
            if os.path.exists("metadata.json"):
                with open("metadata.json", "r") as f:
                    metadata = json.load(f)
                    self.last_update = metadata.get("last_update")
        except Exception as e:
            print(f"Error loading metadata: {e}")

    def _save_last_update_time(self):
        """Save the last update time to metadata file."""
        try:
            with open("metadata.json", "w") as f:
                json.dump({"last_update": self.last_update}, f)
        except Exception as e:
            print(f"Error saving metadata: {e}")

    def search_incidents(self, query, min_date=None, max_date=None, location_filter=None, num_results=5):
        """Search incidents with optional filters and return results."""
        results = self.db.search(query, n_results=num_results)
        filtered_results = []

        for result in results:
            if min_date and result['date'] < min_date:
                continue
            if max_date and result['date'] > max_date:
                continue
            if location_filter and location_filter.lower() not in result['location'].lower():
                continue
            filtered_results.append(result)

        if not filtered_results:
            return "No matching incidents found."

        output = []
        for i, result in enumerate(filtered_results, 1):
            output.append(f"## Result {i}: {result['title']}")
            output.append(f"**Date:** {result['date']}")
            output.append(f"**Location:** {result['location']}")
            output.append(f"**Details:** {result['details']}")
            output.append("---\n")
        return "\n".join(output)

    def respond(self, message, history, system_message, max_tokens, temperature, top_p):
        """Generate chatbot responses or query the NOAA database based on user input."""
        # Check if the message is a NOAA query
        if "search noaa" in message.lower():
            # Extract filters (basic implementation, can be expanded)
            query = message.replace("search noaa", "").strip()
            response = self.search_incidents(query=query, num_results=5)
            return response

        # Generate chatbot response
        messages = [{"role": "system", "content": system_message}]
        for val in history:
            if val[0]:
                messages.append({"role": "user", "content": val[0]})
            if val[1]:
                messages.append({"role": "assistant", "content": val[1]})
        messages.append({"role": "user", "content": message})

        response = ""
        for message in client.chat_completion(
            messages,
            max_tokens=max_tokens,
            stream=True,
            temperature=temperature,
            top_p=top_p,
        ):
            token = message.choices[0].delta.content
            response += token
            yield response

    def refresh_database(self, progress=gr.Progress()):
        """Refresh the database with new incidents."""
        try:
            progress(0, desc="Initializing scraper...")
            scraper = NOAAIncidentScraper(max_workers=5)
            progress(0.2, desc="Scraping new incidents...")
            csv_file, _ = scraper.run(validate_first=True)
            if not csv_file:
                return "Error: Failed to scrape new incidents."
            progress(0.6, desc="Loading new data into database...")
            num_loaded = self.db.load_incidents(csv_file)
            self.last_update = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
            self._save_last_update_time()
            progress(1.0, desc="Complete!")
            return f"Successfully refreshed database with {num_loaded} incidents."
        except Exception as e:
            return f"Error refreshing database: {str(e)}"

    def create_interface(self):
        """Create the Gradio interface."""
        with gr.Blocks(title="NOAA Incident & Chatbot App") as interface:
            gr.Markdown("# NOAA Incident & Chatbot Application")
            with gr.Row():
                with gr.Column(scale=2):
                    gr.Markdown("### Chatbot Interaction")
                    system_message = gr.Textbox(
                        label="System Message", value="You are a friendly assistant."
                    )
                    chat_history = gr.State([])
                    message = gr.Textbox(label="Message")
                    max_tokens = gr.Slider(1, 2048, 512, step=1, label="Max Tokens")
                    temperature = gr.Slider(0.1, 4.0, 0.7, step=0.1, label="Temperature")
                    top_p = gr.Slider(0.1, 1.0, 0.95, step=0.05, label="Top-p")
                    chat_btn = gr.Button("Send")
                    chat_md = gr.Markdown()

                with gr.Column(scale=1):
                    refresh_btn = gr.Button("Refresh Database")
                    last_update_md = gr.Markdown(
                        f"*Last database update: {self.last_update or 'Never'}*"
                    )

            chat_btn.click(
                self.respond,
                inputs=[
                    message,
                    chat_history,
                    system_message,
                    max_tokens,
                    temperature,
                    top_p,
                ],
                outputs=chat_md,
            )

            refresh_btn.click(self.refresh_database, inputs=[], outputs=last_update_md)

        return interface


# Run the app
app = NOAAIncidentApp()
demo = app.create_interface()

if __name__ == "__main__":
    demo.launch()