64 lines
1.8 KiB
Python
64 lines
1.8 KiB
Python
# streamlit_app.py
|
|
import pandas as pd
|
|
import streamlit as st
|
|
from loguru import logger
|
|
|
|
from bak.init_data import BatchDataRead
|
|
from db_utils import BatchData, session
|
|
|
|
PAGE_TITLE = "training data configer"
|
|
st.set_page_config(
|
|
page_title=PAGE_TITLE,
|
|
page_icon="🧊",
|
|
initial_sidebar_state="expanded",
|
|
)
|
|
|
|
|
|
def get_data_from_db():
|
|
logger.debug("init")
|
|
db_objs = session.query(BatchData).all()
|
|
return [BatchDataRead.from_orm(db_obj).dict() for db_obj in db_objs]
|
|
|
|
|
|
st.session_state.setdefault('data_table', get_data_from_db())
|
|
|
|
df = pd.DataFrame(data=st.session_state.data_table)
|
|
|
|
|
|
def train():
|
|
...
|
|
|
|
|
|
def update_handler():
|
|
edited_rows = st.session_state['edited_info'].get('edited_rows')
|
|
for id_, update_data in edited_rows.items():
|
|
row_db = session.query(BatchData).where(BatchData.id == int(edited_df.loc[id_].id)).first()
|
|
logger.info(f"update: {update_data}")
|
|
for field in update_data:
|
|
setattr(row_db, field, update_data[field])
|
|
session.commit()
|
|
|
|
|
|
data_frame_container = st.container()
|
|
with data_frame_container:
|
|
edited_df = st.data_editor(
|
|
df, key="edited_info",
|
|
hide_index=True,
|
|
use_container_width=True,
|
|
on_change=update_handler,
|
|
column_order=('id', 'year', 'census_batch', 'id_code', 'precision', 'is_train', 'is_validation'),
|
|
column_config={
|
|
"year": st.column_config.NumberColumn("年份", format="%d 年", ),
|
|
'census_batch': "普查批次",
|
|
'id_code': "编号",
|
|
'precision': "精度",
|
|
'is_train': "是否是训练集",
|
|
'is_validation': "是否是验证集",
|
|
})
|
|
|
|
with st.sidebar:
|
|
st.divider()
|
|
st.text_input("username")
|
|
st.divider()
|
|
st.button("启动", on_click=train)
|