#!/usr/bin/env python
# coding=utf-8
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import mimetypes
import os
import re
from typing import Optional

import gradio as gr
from smolagents.agent_types import AgentAudio, AgentImage, AgentText, handle_agent_output_types
from smolagents.agents import ActionStep
from smolagents.memory import MemoryStep
from smolagents.utils import _is_package_available


class GradioUI:
    def __init__(self, agent, file_upload_folder: str = "./uploads"):
        self.agent = agent
        self.file_upload_folder = file_upload_folder
        if not os.path.exists(self.file_upload_folder):
            os.makedirs(self.file_upload_folder)

    def interact_with_agent(self, prompt, messages):
        messages.append(gr.ChatMessage(role="user", content=prompt))
        yield messages
        for msg in stream_to_gradio(self.agent, task=prompt, reset_agent_memory=False):
            messages.append(msg)
            yield messages
        yield messages

    def upload_file(
        self,
        file,
        file_uploads_log,
        allowed_file_types=[
            "application/pdf",
            "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
            "text/plain",
        ],
    ):
        if file is None:
            return gr.Textbox("No file uploaded", visible=True), file_uploads_log

        try:
            mime_type, _ = mimetypes.guess_type(file.name)
        except Exception as e:
            return gr.Textbox(f"Error: {e}", visible=True), file_uploads_log

        if mime_type not in allowed_file_types:
            return gr.Textbox("File type disallowed", visible=True), file_uploads_log

        original_name = os.path.basename(file.name)
        sanitized_name = re.sub(r"[^\w\-.]", "_", original_name)

        type_to_ext = {}
        for ext, t in mimetypes.types_map.items():
            if t not in type_to_ext:
                type_to_ext[t] = ext

        name_without_ext = ".".join(sanitized_name.split(".")[:-1])
        ext = type_to_ext.get(mime_type, "")
        if not ext.startswith("."):
            ext = "." + ext if ext else ""
        sanitized_name = f"{name_without_ext}{ext}"

        file_path = os.path.join(self.file_upload_folder, sanitized_name)
        with open(file_path, "wb") as f:
            f.write(file.read())

        file_uploads_log.append(file_path)
        return gr.Textbox(f"File uploaded: {sanitized_name}", visible=True), file_uploads_log

    def build_ui(self):
        chatbot = gr.Chatbot()
        msg = gr.Textbox(placeholder="Ask something...", label="Your message")
        clear = gr.Button("Clear")
        file_uploads_log = []

        with gr.Blocks() as demo:
            with gr.Row():
                with gr.Column():
                    chatbot.render()
                    msg.render()
                    clear.render()

            msg.submit(self.interact_with_agent, [msg, chatbot], chatbot)
            clear.click(lambda: None, None, chatbot, queue=False)

        return demo


def pull_messages_from_step(step_log: MemoryStep):
    if isinstance(step_log, ActionStep):
        step_number = f"Step {step_log.step_number}" if step_log.step_number is not None else ""
        yield gr.ChatMessage(role="assistant", content=f"**{step_number}**")

        if hasattr(step_log, "model_output") and step_log.model_output is not None:
            model_output = step_log.model_output.strip()
            model_output = re.sub(r"```\s*<end_code>", "```", model_output)
            model_output = re.sub(r"<end_code>\s*```", "```", model_output)
            model_output = re.sub(r"```\s*\n\s*<end_code>", "```", model_output)
            model_output = model_output.strip()
            yield gr.ChatMessage(role="assistant", content=model_output)

        if hasattr(step_log, "tool_calls") and step_log.tool_calls is not None:
            first_tool_call = step_log.tool_calls[0]
            used_code = first_tool_call.name == "python_interpreter"
            parent_id = f"call_{len(step_log.tool_calls)}"
            args = first_tool_call.arguments
            content = str(args.get("answer", str(args))) if isinstance(args, dict) else str(args).strip()

            if used_code:
                content = re.sub(r"```.*?\n", "", content)
                content = re.sub(r"\s*<end_code>\s*", "", content).strip()
                if not content.startswith("```python"):
                    content = f"```python\n{content}\n```"