"""
This page allows users to select test batches and see summary statistics from them.
"""

import pandas as pd
import plotly.express as px
import streamlit as st

from src.architectures import *
from src.st_helpers import st_setup
from src.testing import TestGroup


def show_stats(for_test_group: str):
    """
    Set of nested functions to structure the display elements
    """
    def show_elapsed_time_in_seconds_boxplot(stats):
        with st.expander("**Elapsed End to End Time (seconds)**"):
            data = []
            for arch in stats:
                for e in arch['elapsed']:
                    data.append([arch['arch_name'], e / 1000])
            df = pd.DataFrame(data, columns=['Architecture', 'Elapsed time'])
            fig = px.box(df, x="Architecture", y="Elapsed time")
            fig.update_xaxes(tickangle=-90)
            st.plotly_chart(fig, use_container_width=True)

    def show_response_length_boxplot(stats):
        with st.expander("**Response length (count of characters)**"):
            data = []
            for arch in stats:
                for rl in arch['response_len']:
                    data.append([arch['arch_name'], rl])
            df = pd.DataFrame(data, columns=['Architecture', 'Response length'])
            fig = px.box(df, x="Architecture", y="Response length")
            fig.update_xaxes(tickangle=-90)
            st.plotly_chart(fig, use_container_width=True)

    def show_elapsed_time_by_arch_step_stacked_bar(stats):
        with st.expander("**Mean elapsed time by architecture step (seconds)**"):
            data = []
            for arch in stats:
                for step in arch['steps']:
                    data.append([arch['arch_name'], step['step_name'], step['mean_elapsed'] / 1000])
            df = pd.DataFrame(data, columns=['Architecture', 'Step', 'Mean elapsed time'])
            fig = px.bar(df, x='Architecture', y='Mean elapsed time', color='Step', barmode='stack')
            fig.update_xaxes(tickangle=-90)
            st.plotly_chart(fig, use_container_width=True)

    def show_time_vs_response_length_scatter_plot(stats):
        with st.expander("**Time by response length (seconds/char)**"):
            data = []
            for arch in stats:
                for elapsed, resp_len in zip(arch['elapsed'], arch['response_len']):
                    data.append([arch['arch_name'], elapsed / 1000, resp_len])
            df = pd.DataFrame(data, columns=['Architecture', 'Elapsed time', 'Response length'])

            chart_area = st.container()
            if st.checkbox("Show regression lines"):
                fig = px.scatter(df, x='Elapsed time', y='Response length', color='Architecture', trendline='ols', trendline_color_override='red')

            else:
                fig = px.scatter(df, x='Elapsed time', y='Response length', color='Architecture')
            fig.update_xaxes(tickangle=-90)
            with chart_area:
                st.plotly_chart(fig, use_container_width=True)

    def show_q_and_a_detail(stats):
        questions = list(stats[0]['q_and_a'].keys())
        num_archs = len(stats)
        with st.expander("**Request/Response Details**"):
            st.write(f'Displaying {len(questions)} questions and {num_archs} architectures')
        for q in questions:
            with st.expander(f"**{q}**"):
                for i in range(num_archs):
                    st.divider()
                    if q not in stats[i]['q_and_a']:
                        answer = "No answer - test run possibly interrupted"
                    else:
                        answer = stats[i]['q_and_a'][q]
                    st.write(f"**{stats[i]['arch_name']}**\n{answer}")


    test_group = TestGroup.for_test_group_tag(for_test_group)
    title = "No comment provided for group" if test_group.comment == "" else test_group.comment
    st.write(f"### {title}")
    st.write(f"Total of {test_group.num_tests} tests over {test_group.num_archs} architectures ({test_group.num_tests_per_arch} per architecture).")

    stats = test_group.summary_stats_by_arch()

    st.write("#### Statistics")
    show_elapsed_time_in_seconds_boxplot(stats)
    show_response_length_boxplot(stats)
    show_elapsed_time_by_arch_step_stacked_bar(stats)
    show_time_vs_response_length_scatter_plot(stats)

    st.write("#### Question and answer details")
    show_q_and_a_detail(stats)


if st_setup('LLM Arch'):
    summary = st.container()
    with summary:
        st.write("# Test Reporter")

        TestGroup.load_all()

        selector, display = st.columns([2, 3])

        with selector:
            test_groups = list(TestGroup.all.values())
            test_groups.sort(key=lambda x: -x.start)
            options = [f'{tg.test_group}: {tg.comment}' for tg in test_groups]
            if selected := st.radio('**Pick a test set to review**', options=options, index=None):
                with display:
                    show_stats(selected.split(":")[0])