kraken/backend/pages/2_train.py

"""train"""
from datetime import datetime
import os

import streamlit as st

from db import subject
from db import train
from components.remove_style import hide_footer
import page_utils


def _create_train(conn, subjects):
    with st.form("train_form"):
        st.write("创建训练")
        position = st.selectbox("训练部位", ['左手', '右手'])
        finger_model = st.selectbox("气动手手势", list(page_utils.fingermodel_trans.keys()))
        trial_num = st.number_input("训练次数", value=10, step=5)
        owner_name = st.selectbox("用户", subjects.name.to_list())
        virtual_feedback_rate = st.number_input("假反馈比例", min_value=0., max_value=1., value=0., step=0.2)
        model_path = page_utils.file_selector(os.path.join(f'./static/models/{owner_name}'))
        submitted = st.form_submit_button("开始训练")
        if submitted:
            start_time = datetime.strptime(datetime.now().strftime("%Y-%m-%d %H:%M:%S"), "%Y-%m-%d %H:%M:%S")
            train_new = {"position": position, 
                         "finger_model": page_utils.fingermodel_trans[finger_model], 
                         "trial_num": int(trial_num), 
                         "start_time": start_time, 
                         "owner_name": owner_name,
                         "virtual_feedback_rate": float(virtual_feedback_rate),
                         "model_path": model_path.name if model_path is not None else None}
            train_id = train.create_train(conn, train_new)
            # run psychopy process
            os.system(f'python general_grasp_training.py --subj {owner_name} --train-id {train_id} --finger-model {finger_model}, --virtual-feedback-rate {virtual_feedback_rate} --model-path {model_path}')
            return owner_name

def render():
    st.set_page_config(
        page_title="手势训练", page_icon=":chart_with_upwards_trend:"
    )
    hide_footer()

    st.markdown("# 手势训练")
    st.sidebar.success("训练")
    conn = st.connection("sql_app", type="sql")
    train.create_table(conn)
    subjects = subject.get_subjects(conn)
    sub_name = _create_train(conn, subjects)
    if sub_name:
        trains = train.get_trains(conn, sub_name)
        st.write("# 训练列表")
        st.dataframe(trains)


render()