54 lines
1.9 KiB
Python
54 lines
1.9 KiB
Python
# streamlit_app.py
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import pandas as pd
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import streamlit as st
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from loguru import logger
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from bak.init_data import BatchDataRead
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from db_utils import BatchData, session
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def get_data_from_db():
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logger.debug("init")
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db_objs = session.query(BatchData).all()
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res = (BatchDataRead.from_orm(db_obj).dict() for db_obj in db_objs)
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return list(res)
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st.session_state.setdefault('data_table', get_data_from_db())
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df = pd.DataFrame(data=st.session_state.data_table)
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def update_handler():
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edited_rows = st.session_state['edited_info'].get('edited_rows')
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for id_, update_data in edited_rows.items():
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row_db = session.query(BatchData).where(BatchData.id == int(edited_df.loc[id_].id)).first()
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logger.info(f"update: {update_data}")
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for field in update_data:
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setattr(row_db, field, update_data[field])
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session.commit()
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edited_df = st.data_editor(df, key="edited_info",
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hide_index=True,
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use_container_width=True,
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on_change=update_handler,
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column_order=('id', 'year', 'census_batch', 'id_code', 'precision', 'is_train', 'is_validation'),
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column_config={
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"year": st.column_config.NumberColumn("年份", format="%d 年", ),
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'census_batch': "普查批次",
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'id_code': "编号",
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'precision': "精度",
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'is_train': "是否是训练集",
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'is_validation': "是否是验证集",
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})
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# favorite_command = edited_df.loc[edited_df["id"].idxmax()]
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# data_table_change_info = st.session_state['edited_info']
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# logger.debug(f"{data_table_change_info=}")
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# st.rerun()
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# st.session_state.data_table = get_data_from_db()
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# st.rerun()
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