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import streamlit as st
import psycopg2
import pandas as pd
import asyncio
from io import BytesIO
def create_conn():
conn = psycopg2.connect(dbname="neondb", user="zhanabayevasset", password="txDhFR1yl8Pi", host='ep-cool-poetry-346809.us-east-2.aws.neon.tech')
return conn
def get_data(table, start_date, end_date):
conn = create_conn()
cursor = conn.cursor()
cursor.execute(f"""select * from {table}_params
where created_at >= '{start_date}'
and created_at <= '{end_date}'
order by created_at desc""")
data = cursor.fetchall()
cols =[]
for i in cursor.description:
cols.append(i[0])
cursor.close()
conn.close()
return pd.DataFrame(data, columns = cols)
def to_excel(df):
output = BytesIO()
writer = pd.ExcelWriter(output, engine='xlsxwriter')
df.to_excel(writer, index=False, sheet_name='Sheet1')
workbook = writer.book
worksheet = writer.sheets['Sheet1']
format1 = workbook.add_format({'num_format': '0.00'})
worksheet.set_column('A:A', None, format1)
writer.close()
processed_data = output.getvalue()
return processed_data
st.set_page_config(page_title='Seyco QC page')
st.title('Working line operations monitoring system')
val = st.selectbox('select product', [None,'PVC', 'PPR-C','Fitting Vodopr', 'Fitting Canal', 'Fitting Other', 'PERT', 'Window_door', 'bead','laminated_profile','laminated_other', 'windowsill'])
start_date = st.date_input('start_date')
end_date = st.date_input('end_date')
if val == 'PVC':
df = get_data('pvc', start_date, end_date)
st.write(f"weight: {df['weight'].sum()}")
brands = df['brand'].unique().tolist()
nom_diam = df['nominal_diameter'].unique().tolist()
nom_length = df['nominal_length'].unique().tolist()
brands.append(None)
nom_diam.append(None)
nom_length.append(None)
brand = st.selectbox('select brand', brands)
diam = st.selectbox('select nominal diameter', nom_diam)
length = st.selectbox('select nominal length', nom_length)
if (brand == None) | (length == None) | (diam == None):
df = df.set_index('created_at')
st.dataframe(df)
df_xlsx = to_excel(df)
st.download_button(label='📥 Download Current Result',
data=df_xlsx ,
file_name= 'pvc.xlsx')
else:
df = df[df['brand'] == brand]
df = df[df['nominal_diameter'] == diam]
df = df[df['nominal_length'] == length]
df = df.set_index('created_at')
st.dataframe(df)
df_xlsx = to_excel(df)
st.download_button(label='📥 Download Current Result',
data=df_xlsx ,
file_name= 'pvc.xlsx')
st.line_chart(df['view'])
st.line_chart(df['functionality'])
st.line_chart(df['diameter'])
st.line_chart(df[df['weight'].isnull()==False]['weight'])
st.line_chart(df[df['width'].isnull() == False]['width'])
st.line_chart(df[df['mark_control'].isnull() == False]['mark_control'])
st.line_chart(df[df['strength'].isnull() == False]['strength'])
st.line_chart(df[df['length'].isnull() == False]['length'])
if val == 'PPR-C':
df = get_data('pprc', start_date, end_date)
st.write(f"weight: {df['weight'].sum()}")
brands = df['brand'].unique().tolist()
nom_diam = df['nominal_diameter'].unique().tolist()
brand = st.selectbox('select brand', brands)
diam = st.selectbox('select nominal diameter', nom_diam)
brands.append(None)
nom_diam.append(None)
if (brand == None) | (diam == None):
df = df.set_index('created_at')
st.dataframe(df)
df_xlsx = to_excel(df)
st.download_button(label='📥 Download Current Result',
data=df_xlsx ,
file_name= 'pprc.xlsx')
else:
df = df[df['brand'] == brand]
df = df[df['nominal_diameter'] == diam]
df = df.set_index('created_at')
st.dataframe(df)
df_xlsx = to_excel(df)
st.download_button(label='📥 Download Current Result',
data=df_xlsx ,
file_name= 'pprc.xlsx')
st.line_chart(df['view'])
st.line_chart(df['diameter'])
st.line_chart(df['width'])
st.line_chart(df[df['weight'].isnull()==False]['weight'])
st.line_chart(df[df['mark_control'].isnull()==False]['mark_control'])
if val == 'Fitting Vodopr':
df = get_data('fitting_vodop', start_date, end_date)
st.write(f"weight: {df['weight'].sum()}")
brands = df['brand'].unique().tolist()
stanoks = df['stanok'].unique().tolist()
fit_names = df['fitting_name'].unique().tolist()
brands.append(None)
stanoks.append(None)
fit_names.append(None)
brand = st.selectbox('select brand', brands)
stanok = st.selectbox('select line', stanoks)
fit_name = st.selectbox('select fitting name', fit_names)
if (brand == None) | (stanok == None) | (fit_name==None):
df = df.set_index('created_at')
st.dataframe(df)
df_xlsx = to_excel(df)
st.download_button(label='📥 Download Current Result',
data=df_xlsx ,
file_name= 'fitting vodop.xlsx')
else:
df = df[df['brand'] == brand]
df = df[df['stanok'] == stanok]
df = df[df['fitting_name'] == fit_name]
df = df.set_index('created_at')
st.dataframe(df)
df_xlsx = to_excel(df)
st.download_button(label='📥 Download Current Result',
data=df_xlsx ,
file_name= 'fitting vodop.xlsx')
st.line_chart(df['view'])
st.line_chart(df['functionality'])
st.line_chart(df[df['weight'].isnull()==False]['weight'])
if val == 'Fitting Canal':
df = get_data('fitting_canal', start_date, end_date)
st.write(f"weight: {df['weight'].sum()}")
brands = df['brand'].unique().tolist()
stanoks = df['stanok'].unique().tolist()
fit_names = df['fitting_name'].unique().tolist()
nom_diams = df['nominal_diameter'].unique().tolist()
type_materials = df['type_syr'].unique().tolist()
prod_types = df['product_type'].unique().tolist()
brand = st.selectbox('select brand', brands)
stanok = st.selectbox('select line', stanoks)
fit_name = st.selectbox('select fitting name', fit_names)
nom_diam = st.selectbox('select nom diameter', nom_diams)
type_mat = st.selectbox('select type material', type_materials)
prod_type = st.selectbox('select product_type', prod_types)
if (brand==None) | (stanok == None) | (fit_name == None) | (nom_diam == None) | (type_mat == None) | (prod_type == None):
df = df.set_index('created_at')
st.dataframe(df)
df_xlsx = to_excel(df)
st.download_button(label='📥 Download Current Result',
data=df_xlsx ,
file_name= 'fitting canal.xlsx')
# if (brand in brands) & (stanok in stanoks) & (fit_name in fit_names) & (nom_diam in nom_diams) & (prod_type in prod_types) & (type_mat in type_materials):
else:
df = df[df['brand'] == brand]
df = df[df['stanok'] == stanok]
df = df[df['fitting_name'] == fit_name]
df = df[df['type_syr'] == type_mat]
df = df[df['product_type'] == prod_type]
df = df.set_index('created_at')
st.dataframe(df)
df_xlsx = to_excel(df)
st.download_button(label='📥 Download Current Result',
data=df_xlsx ,
file_name= 'fitting canal.xlsx')
st.line_chart(df['view'])
st.line_chart(df[df['functionality'].isnull()==False]['functionality'])
st.line_chart(df[df['weight'].isnull()==False]['weight'])
if val == 'Fitting Other':
df = get_data('fitting_other', start_date, end_date)
brands = df['brand'].unique().tolist()
stanoks = df['stanok'].unique().tolist()
fit_names = df['fitting_name'].unique().tolist()
nom_sizes = df['nominal_size'].unique().tolist()
colors = df['color'].unique().tolist()
brand = st.selectbox('select brand', brands)
stanok = st.selectbox('select line', stanoks)
fit_name = st.selectbox('select fitting name', fit_names)
nom_size = st.selectbox('select nom size', nom_sizes)
color = st.selectbox('select color', colors)
if (brand==None) | (stanok == None) | (fit_name == None) | (nom_size == None) | (color == None):
df = df.set_index('created_at')
st.dataframe(df)
df_xlsx = to_excel(df)
st.download_button(label='📥 Download Current Result',
data=df_xlsx ,
file_name= 'fitting other.xlsx')
else:
# if (brand in brands) & (stanok in stanoks) & (fit_name in fit_names) & (nom_size in nom_sizes) & (color in colors):
df = df[df['brand'] == brand]
df = df[df['stanok'] == stanok]
df = df[df['fitting_name'] == fit_name]
df = df[df['nominal_size'] == nom_size]
df = df.set_index('created_at')
st.dataframe(df)
df_xlsx = to_excel(df)
st.download_button(label='📥 Download Current Result',
data=df_xlsx ,
file_name= 'fitting other.xlsx')
st.line_chart(df['view'])
st.line_chart(df['functionality'])
st.line_chart(df['view'])
# st.line_chart(df['color'])
if val == 'PERT':
df = get_data('pert', start_date, end_date)
st.write(f"weight: {df['weight'].sum()}")
brands = df['brand'].unique().tolist()
brand = st.selectbox('select brand', brands)
if brand ==None:
df = df.set_index('created_at')
st.dataframe(df)
df_xlsx = to_excel(df)
st.download_button(label='📥 Download Current Result',
data=df_xlsx ,
file_name= 'pert.xlsx')
# if (brand in brands):
else:
# if st.button('show data') == True:
df = df[df['brand'] == brand]
df = df.set_index('created_at')
st.dataframe(df)
df_xlsx = to_excel(df)
st.download_button(label='📥 Download Current Result',
data=df_xlsx ,
file_name= 'pert.xlsx')
st.line_chart(df['view'])
st.line_chart(df['outer_diameter'])
st.line_chart(df['width_st'])
st.line_chart(df['weight_b'])
st.line_chart(df[df['weight'].isnull()==False]['weight'])
st.line_chart(df[df['mark_control'].isnull()==False]['mark_control'])
if val == 'Window_door':
df = get_data('window_door', start_date, end_date)
st.dataframe(df)
if val == 'bead':
df = get_data('bead', start_date, end_date)
st.dataframe(df)
if val == 'laminated_profile':
df = get_data('laminated_profile', start_date, end_date)
st.dataframe(df)
if val == 'laminated_other':
df = get_data('laminated_other', start_date, end_date)
st.dataframe(df)
if val == 'windowsill':
df = get_data('windowsill', start_date, end_date)
st.dataframe(df)
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