def connect_to_server(server_name='RAPP1'):
piServers = PIServers()
if piServers.Contains(server_name):
piServers.DefaultPIServer = piServers[server_name];
piServer = piServers.DefaultPIServer
else:
piServer = piServers.Add(server_name)
piServers.DefaultPIServer = piServers[server_name];
piServer = piServers.DefaultPIServer
logging.log_message(pulpsdkpipath,'Server in use: {}'.format(server_name))
print('Server in use: {}'.format(server_name))
return piServer
def tag_2_kraft_kpi_info(dataset, pulp_kpi_calc_logfile_path):
'''
'''
#### Production
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code'] == "RPL.111XC0003:afc".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],
['kpi_category_id', 'kpi_id']] = [1, 1]
dataset.loc[dataset.index[kpi_main_idx],
'process_line_1'] = dataset['kpi_value']
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0002:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_2'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.433FQ1260.F:Y_DAY".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_3'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.422YI5139-YD:value".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_4'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0005:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_5'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0006:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_6'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0007:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_7'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0008:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_8'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
#Hema Entries
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0221:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_15'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
except:
error_message = "Production tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### ClO2 Consumption
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code'] == "RPL.111XC0017:afc".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],
['kpi_category_id', 'kpi_id']] = [2, 2]
dataset.loc[dataset.index[kpi_main_idx],
'process_line_1'] = dataset['kpi_value']
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0018:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_2'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0019:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_3'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
except:
error_message = "ClO2 consumption tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### ClO2 Total Active Cl2
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code'] == "RPL.111XC0023:afc".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],
['kpi_category_id', 'kpi_id']] = [2, 3]
dataset.loc[dataset.index[kpi_main_idx],
'process_line_1'] = dataset['kpi_value']
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0024:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_2'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0025:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_3'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0251:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_15'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
# Monthly Consumptions
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0252:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_1_m'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0254:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_2_m'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0256:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_3_m'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0207:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_4_m'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
except:
error_message = "ClO2 Total Active Cl2 tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### Defoamer
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code'] == "RPL.111XC0170:afc".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],
['kpi_category_id', 'kpi_id']] = [2, 4]
dataset.loc[dataset.index[kpi_main_idx],
'process_line_1'] = dataset['kpi_value']
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0171:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_2'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0172:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_3'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0173:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_4'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0202:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_15'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0202:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_15'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
except:
error_message = "Defoamer tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### H2O2 Consumption
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code'] == "RPL.111XC0020:afc".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],
['kpi_category_id', 'kpi_id']] = [2, 5]
dataset.loc[dataset.index[kpi_main_idx],
'process_line_1'] = dataset['kpi_value']
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0021:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_2'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0022:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_3'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0194:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_15'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
# Monthly Consumptions
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0226:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_1_m'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0228:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_2_m'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0230:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_3_m'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
except:
error_message = "H2O2 tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### NaOH(Own) Consumption
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code'] == "RPL.111XC0032:afc".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],
['kpi_category_id', 'kpi_id']] = [2, 6]
dataset.loc[dataset.index[kpi_main_idx],
'process_line_1'] = dataset['kpi_value']
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0033:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_2'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0034:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_3'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
except:
error_message = "NaOH(Own) tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### NaOH(Purchase) Consumption
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code'] == "RPL.111XC0035:afc".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],
['kpi_category_id', 'kpi_id']] = [2, 7]
dataset.loc[dataset.index[kpi_main_idx],
'process_line_1'] = dataset['kpi_value']
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0036:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_2'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0037:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_3'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
except:
error_message = "NaOH(Purchase) tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### NaOH(Total) Consumption
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code'] == "RPL.111XC0038:afc".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],
['kpi_category_id', 'kpi_id']] = [2, 8]
dataset.loc[dataset.index[kpi_main_idx],
'process_line_1'] = dataset['kpi_value']
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0039:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_2'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0040:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_3'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0197:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_15'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
# Monthly Consumptions
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0243:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_1_m'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0245:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_2_m'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0247:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_3_m'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
except:
error_message = "NaOH(Total) tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### Oxygen Consumption
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code'] == "RPL.111XC0026:afc".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],
['kpi_category_id', 'kpi_id']] = [2, 9]
dataset.loc[dataset.index[kpi_main_idx],
'process_line_1'] = dataset['kpi_value']
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0027:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_2'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0028:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_3'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0198:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_15'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
except:
error_message = "Oxygen tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### Sulfuric_Acid (H2SO4) Consumption
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code'] == "RPL.111XC0029:afc".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],
['kpi_category_id', 'kpi_id']] = [2, 10]
dataset.loc[dataset.index[kpi_main_idx],
'process_line_1'] = dataset['kpi_value']
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0030:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_2'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0031:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_3'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
except:
error_message = "Sulfuric Acid (H2SO4) tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### White Liqour Consumption (m3/ADt)
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code'] == "RPL.111XC0009:afc".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],
['kpi_category_id', 'kpi_id']] = [2, 11]
dataset.loc[dataset.index[kpi_main_idx],
'process_line_1'] = dataset['kpi_value']
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0010:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_2'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0011:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_3'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0012:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_4'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0201:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_15'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
# monthly consumptions
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0234:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_1_m'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0236:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_2_m'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0238:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_3_m'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0240:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_4_m'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
except:
error_message = "White Liqour Consumption (m3/ADt) tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### White Liqour Consumption (tAA/ADt)
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code'] == "RPL.111XC0013:afc".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],
['kpi_category_id', 'kpi_id']] = [2, 12]
dataset.loc[dataset.index[kpi_main_idx],
'process_line_1'] = dataset['kpi_value']
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0014:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_2'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0015:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_3'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0016:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_4'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
except:
error_message = "White Liqour Consumption (tAA/ADt) tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### Utility Power Consumption
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code'] == "RPL.111XC0050:afc".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],
['kpi_category_id', 'kpi_id']] = [3, 13]
dataset.loc[dataset.index[kpi_main_idx],
'process_line_1'] = dataset['kpi_value']
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0051:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_2'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0052:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_3'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0053:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_4'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0054:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_5'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0055:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_6'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0056:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_7'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0057:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_8'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
# Monthy Consumptions
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0261:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_1_m'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0263:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_2_m'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0265:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_3_m'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
except:
error_message = "Utility Power Consumption tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### Utility LP Steam Consumption
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code'] == "RPL.111XC0060:afc".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],
['kpi_category_id', 'kpi_id']] = [3, 14]
dataset.loc[dataset.index[kpi_main_idx],
'process_line_1'] = dataset['kpi_value']
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0061:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_2'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0062:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_3'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0063:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_4'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0064:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_5'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0065:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_6'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0066:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_7'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0067:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_8'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
except:
error_message = "LP Steam Consumption tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### Utility MP Steam Consumption
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code'] == "RPL.111XC0068:afc".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],
['kpi_category_id', 'kpi_id']] = [3, 15]
dataset.loc[dataset.index[kpi_main_idx],
'process_line_1'] = dataset['kpi_value']
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0069:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_2'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0070:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_3'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0071:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_4'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0072:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_5'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0073:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_6'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0074:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_7'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0075:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_8'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
print('MP Steam Consumption found ')
except:
error_message = "MP Steam Consumption tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### Utility Total Steam Consumption
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code'] == "RPL.111XC0076:afc".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],
['kpi_category_id', 'kpi_id']] = [3, 16]
dataset.loc[dataset.index[kpi_main_idx],
'process_line_1'] = dataset['kpi_value']
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0077:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_2'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0078:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_3'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0079:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_4'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0080:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_5'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0081:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_6'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0082:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_7'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0083:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_8'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
# Monthly Consumptions
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0317:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_1_m'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0319:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_2_m'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0321:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_3_m'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0323:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_4_m'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
print('Total Steam Consumption FOUND ')
except:
error_message = "Total Steam Consumption tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### Utility water Consumption
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code'] == "RPL.111XC0084:afc".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],
['kpi_category_id', 'kpi_id']] = [3, 17]
dataset.loc[dataset.index[kpi_main_idx],
'process_line_1'] = dataset['kpi_value']
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0085:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_2'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0086:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_3'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0087:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_4'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0088:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_5'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0089:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_6'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0090:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_7'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0091:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_8'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
# Monthly Consumptions
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0271:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_1_m'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0273:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_2_m'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0275:afc".lower())
dataset.loc[dataset.index[kpi_main_idx], 'process_line_3_m'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
except:
error_message = "Total Steam Consumption tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### Woodchip Consumption - Woodchip total @2019-11-28
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code'] == "RPL.111XC0220:afc".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],
['kpi_category_id', 'kpi_id']] = [4, 18]
dataset.loc[dataset.index[kpi_main_idx],
'process_line_1'] = dataset['kpi_value']
except:
error_message = "Woodchip Consumption - Woodchip total tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### Woodchip Consumption - Chip meter avg
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code'] == "RPL.111XC0048:afc".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],
['kpi_category_id', 'kpi_id']] = [4, 19]
dataset.loc[dataset.index[kpi_main_idx],
'process_line_3'] = dataset['kpi_value'] #FL3
except:
error_message = "Woodchip Consumption - Chip meter avg tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### Woodchip Consumption - Consumption
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(
dataset['tag_code'] == "RPL.111XC0211:afc".lower()) #FL1
try:
dataset.loc[dataset.index[kpi_main_idx],
['kpi_category_id', 'kpi_id']] = [4, 20]
dataset.loc[dataset.index[kpi_main_idx],
'process_line_1'] = dataset['kpi_value']
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0213:afc".lower()) #FL2
dataset.loc[dataset.index[kpi_main_idx], 'process_line_2'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
# kpi_fetch_idx = np.where(dataset['tag_code']=="RPL.111XC0108:afc".lower()) #FL3
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0215:afc".lower()) #FL3
dataset.loc[dataset.index[kpi_main_idx], 'process_line_3'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
# kpi_fetch_idx = np.where(dataset['tag_code']=="RPL.111XC0109:afc".lower()) #PCD
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0217:afc".lower()) #PCD
dataset.loc[dataset.index[kpi_main_idx], 'process_line_4'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0219:afc".lower()) #PL15
dataset.loc[dataset.index[kpi_main_idx], 'process_line_15'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
error_message = "Woodchip Consumption - Consumption tag RPL.111XC0211:afc FOUND "
print(error_message)
except:
error_message = "Woodchip Consumption - Consumption tag RPL.111XC0211:afc cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### Yield - Cooking
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(
dataset['tag_code'] == "RPL.111XC0130:afc".lower()) #FL1
try:
dataset.loc[dataset.index[kpi_main_idx],
['kpi_category_id', 'kpi_id']] = [4, 22]
dataset.loc[dataset.index[kpi_main_idx],
'process_line_1'] = dataset['kpi_value']
# kpi_fetch_idx = np.where(dataset['tag_code']=="RPL.111XC0119:afc".lower()) #FL2
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0131:afc".lower()) #FL2
dataset.loc[dataset.index[kpi_main_idx], 'process_line_2'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
# kpi_fetch_idx = np.where(dataset['tag_code']=="RPL.111XC0120:afc".lower()) #FL3
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0132:afc".lower()) #FL3
dataset.loc[dataset.index[kpi_main_idx], 'process_line_3'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
# kpi_fetch_idx = np.where(dataset['tag_code']=="RPL.111XC0121:afc".lower()) #PCD
kpi_fetch_idx = np.where(
dataset['tag_code'] == "RPL.111XC0133:afc".lower()) #PCD
dataset.loc[dataset.index[kpi_main_idx], 'process_line_4'] = list(
dataset.loc[dataset.index[kpi_fetch_idx], 'kpi_value'])
except:
error_message = "Yield - Cooking tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
return dataset.copy()
#### To delete all rows after a certain date:
#db_con.delete_entries(table_name=db_pi_table, date='2019-04-05',single_deletion=False)
# =============================================================================
# =============================================================================
# # # Database connection
# # #db_kpi_table is hardcoded in "upsert" function in db_connection script too
# =============================================================================
# =============================================================================
try:
db_con = db_connection.DB_connection()
except:
error_message = "DB Connection error received from db_connection module"
print(error_message)
logging.log_message(krc_power_pi_download_logfile_path, error_message)
sys.exit(1)
# =============================================================================
# =============================================================================
# # Download Routine
# =============================================================================
# =============================================================================
try:
try:
# Create Tables if not exists
#db_con.create_krc_power_pi_table(table_name = db_pi_table)
db_con.create_krc_kpi_power_minute_table(
table_name=db_kpi_minute_table)
db_con.create_krc_kpi_power_daily_table(table_name=db_kpi_daily_table)
except:
def tag_2_kraft_kpi_info(dataset,pulp_kpi_calc_logfile_path):
'''
'''
#### Production
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code']=="OE.PD1.PULP.PRODUCTION".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],['kpi_category_id','kpi_id']] = [1,1]
dataset.loc[dataset.index[kpi_main_idx],'process_line_1'] = dataset['kpi_value']
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PD2.PULP.PRODUCTION".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_2'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PD3.PULP.PRODUCTION".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_3'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PL11.PULP.PRODUCTION".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_4'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PL12.PULP.PRODUCTION".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_5'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
except:
error_message = "Production tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### ClO2 Consumption
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code']=="OE.PL11.CHE.CLO2".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],['kpi_category_id','kpi_id']] = [2,2]
dataset.loc[dataset.index[kpi_main_idx],'process_line_4'] = dataset['kpi_value']
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PL12.CHE.CLO2".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_5'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
except:
error_message = "ClO2 consumption tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### ClO2 Total Active Cl2
# kpi_main_idx = np.nan
# kpi_fetch_idx = np.nan
# kpi_main_idx = np.where(dataset['tag_code']=="RPL.111XC0023:afc".lower())
# try:
# dataset.loc[dataset.index[kpi_main_idx],['kpi_category_id','kpi_id']] = [2,3]
# dataset.loc[dataset.index[kpi_main_idx],'process_line_1'] = dataset['kpi_value']
#
# kpi_fetch_idx = np.where(dataset['tag_code']=="RPL.111XC0024:afc".lower())
# dataset.loc[dataset.index[kpi_main_idx],'process_line_2'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
#
# kpi_fetch_idx = np.where(dataset['tag_code']=="RPL.111XC0025:afc".lower())
# dataset.loc[dataset.index[kpi_main_idx],'process_line_3'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
# except:
# error_message = "ClO2 Total Active Cl2 tag cannot be found"
# print(error_message)
# logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### Defoamer
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code']=="OE.PL11.Defoamer".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],['kpi_category_id','kpi_id']] = [2,4]
dataset.loc[dataset.index[kpi_main_idx],'process_line_4'] = dataset['kpi_value']
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PL12.Defoamer".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_5'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
except:
error_message = "Defoamer tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### H2O2 Consumption
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code']=="OE.PL11.CHE.H202".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],['kpi_category_id','kpi_id']] = [2,5]
dataset.loc[dataset.index[kpi_main_idx],'process_line_4'] = dataset['kpi_value']
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PL12.CHE.H202".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_5'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
except:
error_message = "H2O2 tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### NaOH(Own) Consumption
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code']=="OE.PL12.CHE.NaOH.OWN".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],['kpi_category_id','kpi_id']] = [2,6]
dataset.loc[dataset.index[kpi_main_idx],'process_line_5'] = dataset['kpi_value']
except:
error_message = "NaOH(Own) tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### NaOH(Purchase) Consumption
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code']=="OE.PL11.CHE.NaOH.PUR".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],['kpi_category_id','kpi_id']] = [2,7]
dataset.loc[dataset.index[kpi_main_idx],'process_line_4'] = dataset['kpi_value']
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PL12.CHE.NaOH.PUR".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_5'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
except:
error_message = "NaOH(Purchase) tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### NaOH(Total) Consumption
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code']=="OE.PL11.CHE.NaOH.TOT".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],['kpi_category_id','kpi_id']] = [2,8]
dataset.loc[dataset.index[kpi_main_idx],'process_line_4'] = dataset['kpi_value']
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PL12.CHE.NaOH.TOT".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_5'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
except:
error_message = "NaOH(Total) tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### Oxygen Consumption
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code']=="OE.PL11.CHE.O2".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],['kpi_category_id','kpi_id']] = [2,9]
dataset.loc[dataset.index[kpi_main_idx],'process_line_4'] = dataset['kpi_value']
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PL12.CHE.O2".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_5'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
except:
error_message = "Oxygen tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### Sulfuric_Acid (H2SO4) Consumption
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code']=="OE.PL11.CHE.H2SO4".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],['kpi_category_id','kpi_id']] = [2,10]
dataset.loc[dataset.index[kpi_main_idx],'process_line_4'] = dataset['kpi_value']
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PL12.CHE.H2SO4".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_5'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
except:
error_message = "Sulfuric Acid (H2SO4) tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### White Liqour Consumption (m3/ADt)
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code']=="OE.PL11.CHE.WL".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],['kpi_category_id','kpi_id']] = [2,11]
dataset.loc[dataset.index[kpi_main_idx],'process_line_4'] = dataset['kpi_value']
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PL12.CHE.WL".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_5'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
except:
error_message = "White Liqour Consumption (m3/ADt) tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### White Liqour Consumption (tAA/ADt)
# kpi_main_idx = np.nan
# kpi_fetch_idx = np.nan
# kpi_main_idx = np.where(dataset['tag_code']=="RPL.111XC0013:afc".lower())
# try:
# dataset.loc[dataset.index[kpi_main_idx],['kpi_category_id','kpi_id']] = [2,12]
# dataset.loc[dataset.index[kpi_main_idx],'process_line_1'] = dataset['kpi_value']
#
# kpi_fetch_idx = np.where(dataset['tag_code']=="RPL.111XC0014:afc".lower())
# dataset.loc[dataset.index[kpi_main_idx],'process_line_2'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
#
# kpi_fetch_idx = np.where(dataset['tag_code']=="RPL.111XC0015:afc".lower())
# dataset.loc[dataset.index[kpi_main_idx],'process_line_3'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
#
# kpi_fetch_idx = np.where(dataset['tag_code']=="RPL.111XC0016:afc".lower())
# dataset.loc[dataset.index[kpi_main_idx],'process_line_4'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
#
# except:
# error_message = "White Liqour Consumption (m3/ADt) tag cannot be found"
# print(error_message)
# logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### Utility Power Consumption
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code']=="OE.PD1.UT.POWER.TOT".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],['kpi_category_id','kpi_id']] = [3,13]
dataset.loc[dataset.index[kpi_main_idx],'process_line_1'] = dataset['kpi_value']
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PD2.UT.POWER.TOT".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_2'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PD3.UT.POWER.TOT".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_3'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PL11.UT.PR.POWER".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_4'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PL12.UT.PR.POWER".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_5'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
except:
error_message = "Utility Power Consumption tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### Utility LP Steam Consumption
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code']=="OE.PD1.UT.LP.STEAM".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],['kpi_category_id','kpi_id']] = [3,14]
dataset.loc[dataset.index[kpi_main_idx],'process_line_1'] = dataset['kpi_value']
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PD2.UT.LP.STEAM".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_2'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PD3.UT.LP.STEAM".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_3'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PL11.UT.LP.STEAM".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_4'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PL12.UT.LP.STEAM".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_5'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
except:
error_message = "LP Steam Consumption tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### Utility MP Steam Consumption
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code']=="OE.PL11.UT.MP.STEAM".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],['kpi_category_id','kpi_id']] = [3,15]
dataset.loc[dataset.index[kpi_main_idx],'process_line_4'] = dataset['kpi_value']
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PL12.UT.MP.STEAM".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_5'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
except:
error_message = "MP Steam Consumption tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### Utility Total Steam Consumption
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code']=="OE.PD1.UT.TOT.STEAM".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],['kpi_category_id','kpi_id']] = [3,16]
dataset.loc[dataset.index[kpi_main_idx],'process_line_1'] = dataset['kpi_value']
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PD2.UT.TOT.STEAM".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_2'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PD3.UT.TOT.STEAM".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_3'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PL11.UT.TOT.STEAM".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_4'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PL12.UT.TOT.STEAM".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_5'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
except:
error_message = "Total Steam Consumption tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### Utility water Consumption
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code']=="OE.PD1.UT.PR.WATER".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],['kpi_category_id','kpi_id']] = [3,17]
dataset.loc[dataset.index[kpi_main_idx],'process_line_1'] = dataset['kpi_value']
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PD2.UT.PR.WATER".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_2'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PD3.UT.PR.WATER".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_3'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PL11.UT.PR.WATER".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_4'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PL12.UT.PR.WATER".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_5'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
except:
error_message = "Total Steam Consumption tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### Woodchip Consumption - Woodchip total
# kpi_main_idx = np.nan
# kpi_fetch_idx = np.nan
# kpi_main_idx = np.where(dataset['tag_code']=="RPL.411WQ7000.F:Y_DAY".lower())
# try:
# dataset.loc[dataset.index[kpi_main_idx],['kpi_category_id','kpi_id']] = [4,18]
# dataset.loc[dataset.index[kpi_main_idx],'process_line_1'] = dataset['kpi_value']
#
# kpi_fetch_idx = np.where(dataset['tag_code']=="RPL.341WQ5080YD:value".lower())
# dataset.loc[dataset.index[kpi_main_idx],'process_line_2'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
#
# kpi_fetch_idx = np.where(dataset['tag_code']=="RPL.341WI2794-YD:value".lower()) #PCD
# dataset.loc[dataset.index[kpi_main_idx],'process_line_4'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
# except:
# error_message = "Woodchip Consumption - Woodchip total tag cannot be found"
# print(error_message)
# logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### Woodchip Consumption - Chip meter avg
# kpi_main_idx = np.nan
# kpi_fetch_idx = np.nan
# kpi_main_idx = np.where(dataset['tag_code']=="RPL.111XC0048:afc".lower())
# try:
# dataset.loc[dataset.index[kpi_main_idx],['kpi_category_id','kpi_id']] = [4,19]
# dataset.loc[dataset.index[kpi_main_idx],'process_line_3'] = dataset['kpi_value'] #FL3
#
# except:
# error_message = "Woodchip Consumption - Chip meter avg tag cannot be found"
# print(error_message)
# logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### Woodchip Consumption - Consumption
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code']=="OE.PL11.CHIPS.GMT".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],['kpi_category_id','kpi_id']] = [4,20]
dataset.loc[dataset.index[kpi_main_idx],'process_line_4'] = dataset['kpi_value']
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PL12.CHIPS.GMT".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_5'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
except:
error_message = "Woodchip Consumption - Consumption tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### Yield - Bleaching
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code']=="OE.PL11.CHIPS.BLC.YIELD".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],['kpi_category_id','kpi_id']] = [4,21]
dataset.loc[dataset.index[kpi_main_idx],'process_line_4'] = dataset['kpi_value']
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PL12.CHIPS.BLC.YIELD".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_5'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
except:
error_message = "Yield - Bleaching tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### Yield - Cooking (Digester Yield)
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code']=="OE.PL11.CHIPS.DIG.YIELD".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],['kpi_category_id','kpi_id']] = [4,22]
dataset.loc[dataset.index[kpi_main_idx],'process_line_4'] = dataset['kpi_value']
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PL12.CHIPS.DIG.YIELD".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_5'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
except:
error_message = "Yield - Cooking (Digester Yield) tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
#### Yield - Screening
kpi_main_idx = np.nan
kpi_fetch_idx = np.nan
kpi_main_idx = np.where(dataset['tag_code']=="OE.PL11.CHIPS.SCR.YIELD".lower())
try:
dataset.loc[dataset.index[kpi_main_idx],['kpi_category_id','kpi_id']] = [4,23]
dataset.loc[dataset.index[kpi_main_idx],'process_line_4'] = dataset['kpi_value']
kpi_fetch_idx = np.where(dataset['tag_code']=="OE.PL12.CHIPS.SCR.YIELD".lower())
dataset.loc[dataset.index[kpi_main_idx],'process_line_5'] = list(dataset.loc[dataset.index[kpi_fetch_idx],'kpi_value'])
except:
error_message = "Yield - Screening tag cannot be found"
print(error_message)
logging.log_message(pulp_kpi_calc_logfile_path, error_message)
return dataset.copy()
pulp_pi_tags += utility_power_consumption
pulp_pi_tags += utility_power_consumption_mth
pulp_pi_tags += lp_steam_consumption
pulp_pi_tags += mp_steam_consumption
pulp_pi_tags += total_steam_consumption
pulp_pi_tags += total_steam_consumption_tags_mth
pulp_pi_tags += utility_water_consumption
pulp_pi_tags += wc_woodchip_total
pulp_pi_tags += wc_chip_meter_avg
pulp_pi_tags += wc_consumption
pulp_pi_tags += water_consumption_mth
pulp_pi_tags += yield_cooking
tag_list = list(set(pulp_pi_tags))
logging.log_message(krc_pulp_pi_download_logfile_path, tag_list)
total_Tag_list = '{} tags to download!'.format(len(tag_list))
#HemaEntries
# print (total_Tag_list)
sampling_freq = "24h"
# =============================================================================
# =============================================================================
# # Functions
# =============================================================================
# =============================================================================
#### To delete all rows after a certain date:
#db_con.delete_entries(table_name=db_pi_table, date='2019-04-05',single_deletion=False)
#### To delete all rows after a certain date:
#db_con.delete_entries(table_name=db_pi_table, date='2019-04-05',single_deletion=False)
# =============================================================================
# =============================================================================
# # # Database connection
# # #db_kpi_table is hardcoded in "upsert" function in db_connection script too
# =============================================================================
# =============================================================================
try:
db_con = db_connection.DB_connection()
except:
error_message = "DB Connection error received from db_connection module"
print(error_message)
logging.log_message(rz_pulp_pi_download_logfile_path, error_message)
sys.exit(1)
# =============================================================================
# =============================================================================
# # Download Routine
# =============================================================================
# =============================================================================
try:
try:
# Create Tables if not exists
db_con.create_rz_pulp_pi_table(table_name=db_pi_table)
db_con.create_daily_kpi_pulp_table(table_name=db_daily_kpi_table)
except:
error_message = "Table creation/check existance error"
print(error_message)
