"""
Usage:
python3 qa_browser.py --share
"""

import argparse
from collections import defaultdict
from glob import glob
import re
import gradio as gr
import pandas as pd

questions = []

question_selector_map = {}
category_selector_map = defaultdict(list)


def display_question(category_selector, request: gr.Request):
    # print(category_selector)
    choices = category_selector_map[category_selector]
    return gr.Dropdown(
        value=choices[0],
        choices=choices,
    )


def display_pairwise_answer(
    question_selector, model_selector1, model_selector2, request: gr.Request
):
    q = question_selector_map[question_selector]
    qid = q["question_id"]

    ans1 = q["conversation_a"]
    ans2 = q["conversation_b"]

    chat_mds = pairwise_to_gradio_chat_mds(q, ans1, ans2)
    
    return chat_mds


newline_pattern1 = re.compile("\n\n(\d+\. )")
newline_pattern2 = re.compile("\n\n(- )")


def post_process_answer(x):
    """Fix Markdown rendering problems."""
    x = x.replace("\u2022", "- ")
    x = re.sub(newline_pattern1, "\n\g<1>", x)
    x = re.sub(newline_pattern2, "\n\g<1>", x)
    return x


def pairwise_to_gradio_chat_mds(question, ans_a, ans_b, turn=None):
    end = question["turn"] * 3

    mds = [""] * end
    base = 0
    for i in range(0, end, 3):
        mds[i] = "##### `User`\n" + question["conversation_a"][base]["content"].strip()
        mds[i + 1] = f"##### `{question['model_a']}`\n" + post_process_answer(
            ans_a[base + 1]["content"].strip()
        )
        mds[i + 2] = f"##### `{question['model_b']}`\n" + post_process_answer(
            ans_b[base + 1]["content"].strip()
        )
        base += 2
        
    winner = question["winner"] if "tie" in question["winner"] else question[question["winner"]]
    mds += [f"##### Vote: {winner}"]
    mds += [""] * (16 - len(mds))
    
    return mds


def build_question_selector_map():
    global question_selector_map, category_selector_map

    # Build question selector map
    for q in questions:
        preview = q["conversation_a"][0]["content"][:128] + "..."
        question_selector_map[preview] = q
        category_selector_map[q["category"]].append(preview)


def build_pairwise_browser_tab():
    global question_selector_map, category_selector_map

    num_sides = 2
    num_turns = 5
    side_names = ["A", "B"]

    question_selector_choices = list(question_selector_map.keys())
    category_selector_choices = list(category_selector_map.keys())
    print(category_selector_choices)
    # Selectors
    with gr.Row():
        with gr.Column(scale=1, min_width=200):
            category_selector = gr.Dropdown(
                choices=category_selector_choices,
                # value="Instruction Following",
                label="Category", container=False
            )
        with gr.Column(scale=100):
            question_selector = gr.Dropdown(
                choices=question_selector_choices, label="Question", container=False
            )

    # Conversation
    chat_mds = []
    for i in range(num_turns):
        chat_mds.append(gr.Markdown(elem_id=f"user_question_{i+1}"))
        with gr.Row():
            for j in range(num_sides):
                with gr.Column(scale=100):
                    chat_mds.append(gr.Markdown())

                if j == 0:
                    with gr.Column(scale=1, min_width=8):
                        gr.Markdown()
    chat_mds.append(gr.Markdown())

    # Callbacks
    category_selector.change(display_question, [category_selector], [question_selector])
    question_selector.change(
        display_pairwise_answer,
        [question_selector],
        chat_mds,
    )

    return (category_selector,)


def load_demo():
    dropdown_update = gr.Dropdown(value="Math")
    return dropdown_update


def build_demo():
    build_question_selector_map()

    with gr.Blocks(
        title="Chatbot Arena Samples",
        theme=gr.themes.Base(text_size=gr.themes.sizes.text_lg),
    ) as demo:
        gr.Markdown(
            """
# Chatbot Arena Samples
We randomly sample 20-50 battles from each category using seed 42.
| [Paper](https://arxiv.org/abs/2403.04132) | [Leaderboard](https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard) |
"""
        )
        (category_selector,) = build_pairwise_browser_tab()
        demo.load(load_demo, [], [category_selector])

    return demo


def load_questions(directory: str):
    import json
    """Load questions from a file."""
    questions = []
    for file in glob(directory):
        with open(file, "r") as ques_file:
            for line in ques_file:
                if line:
                    questions.append(json.loads(line))
    return questions


if __name__ == "__main__":
    parser = argparse.ArgumentParser()
    parser.add_argument("--host", type=str, default="0.0.0.0")
    parser.add_argument("--port", type=int)
    parser.add_argument("--share", action="store_true")
    args = parser.parse_args()
    print(args)
    
    questions = load_questions("data/*.jsonl")

    demo = build_demo()
    demo.launch(
        server_name=args.host, server_port=args.port, share=args.share, max_threads=200
    )