使用 python 将 AgGrid 数据保存到 sqlite

Question

嗨，我正在构建一个应用程序来保存我们在工作中所做的项目的结果我想用 aggrid 更新 table 它也会更新我正在使用的 sqlite 数据库我设法在网络应用程序上进行编辑，但它不会更新数据库如果有人能告诉我它会怎样很棒这是我导入的库：

import streamlit as st
import pandas as pd
from streamlit_option_menu import option_menu
from st_aggrid import AgGrid,GridUpdateMode
from st_aggrid.grid_options_builder import GridOptionsBuilder
if selected == 'Editor':
    def data_upload():
        dfa = pd.read_sql('SELECT * FROM LightSpeed_Project',con=sqlite3.connect('Performance.db',))
        return dfa
    dfe = data_upload()
    gd = GridOptionsBuilder.from_dataframe(dfe)
    gd.configure_pagination(enabled=True)
    gd.configure_default_column(editable=True, groupable=True)
    sel_mode = st.radio('Selection Type', options=['single', 'multiple'])
    gd.configure_selection(selection_mode=sel_mode, use_checkbox=True)
    gridoptions = gd.build()
    grid_table = AgGrid(dfe, gridOptions=gridoptions,
                        update_mode=GridUpdateMode.SELECTION_CHANGED,
                        height=500,
                        allow_unsafe_jscode=True,
                        # enable_enterprise_modules = True,
                        theme='fresh')

    sel_row = grid_table["selected_rows"]
    st.subheader("Output")
    st.write(sel_row)

Answer 1

这是一个示例代码。请注意，我在更新模式下添加了 GridUpdateMode.VALUE_CHANGED 以在值更改时查看 grid_table 中的更改。还添加了一个按钮，用于根据 AgGrid 返回的更改更新数据库。

代码

import streamlit as st 
import sqlite3
import pandas as pd
from streamlit_option_menu import option_menu
from st_aggrid import AgGrid,GridUpdateMode
from st_aggrid.grid_options_builder import GridOptionsBuilder


conn = sqlite3.connect('stocks.db')
cur = conn.cursor()

def create_table():
    cur.execute('CREATE TABLE IF NOT EXISTS product(id integer PRIMARY KEY, name TEXT, count integer)')

def add(name, count):
    cur.execute('INSERT INTO product(name, count) VALUES (?,?)', (name, count))
    conn.commit()

def update(id, count):
    cur.execute('UPDATE product SET count=? WHERE id=?', (count, id))
    conn.commit()


create_table()

# Run once to add data to table.
# add('cpu', 5)
# add('psu', 5)
# add('mother board', 8)
# add('gpu', 10)

st.write('##### Intital contents of db')
df = pd.read_sql('SELECT * FROM product', con=conn)
st.write(df)

gd = GridOptionsBuilder.from_dataframe(df)
gd.configure_pagination(enabled=True)
gd.configure_default_column(editable=True, groupable=True)
sel_mode = st.radio('Selection Type', options=['single', 'multiple'])
gd.configure_selection(selection_mode=sel_mode, use_checkbox=True)
gridoptions = gd.build()
grid_table = AgGrid(df, gridOptions=gridoptions,
                    update_mode=GridUpdateMode.SELECTION_CHANGED | GridUpdateMode.VALUE_CHANGED,
                    height=500,
                    allow_unsafe_jscode=True,
                    # enable_enterprise_modules = True,
                    theme='fresh')

sel_row = grid_table["selected_rows"]
st.subheader("Output")
st.write(sel_row)

df_selected = pd.DataFrame(sel_row)

if st.button('Update db', key=1):
    for i, r in df_selected.iterrows():
        id = r['id']
        cnt = r['count']
        update(id, cnt)

    st.write('##### Updated db')
    df_update = pd.read_sql('SELECT * FROM product', con=conn)
    st.write(df_update)

cur.close()
conn.close()

使用 python 将 AgGrid 数据保存到 sqlite

save the AgGrid data to sqlite with python

python

pandas

ag-grid

streamlit

代码

输出