# 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, get_session st.session_state.setdefault('data_table', []) # session: Session = next(get_session()) def get_data_from_db(): logger.info("init") return (BatchDataRead.from_orm(db_obj).dict() for db_obj in next(get_session()).query(BatchData).all()) # logger.debug(st.session_state.data_table) # if not st.session_state.data_table: st.session_state.data_table = get_data_from_db() df = pd.DataFrame(data=st.session_state.data_table) def update_handler(*args, **kwargs): logger.debug(f"{args=}, {kwargs=}") 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", }) favorite_command = edited_df.loc[edited_df["id"].idxmax()] data_table_change_info = st.session_state['edited_info'] logger.debug(f"{data_table_change_info=}") edited_rows = data_table_change_info.get('edited_rows') session = next(get_session()) for id_, update_data in edited_rows.items(): row_db = session.query(BatchData).where(BatchData.id == int(edited_df.loc[id_].id)).first() for field in update_data: setattr(row_db, field, update_data[field]) st.text(f"update: {id_=}, {update_data=}") st.toast('Your edited image was saved!', icon='😍') session.commit() st.rerun() logger.info('end')