def fetch_consumption(country_code='IN-PB', session=None):
"""Fetch Punjab consumption"""
countrycode.assert_country_code(country_code, 'IN-PB')
response_text = web.get_response_text(country_code, 'http://www.punjabsldc.org/nrrealw.asp?pg=nrGenReal',
session)
date_text = read_text_by_regex('(\d+/\d+/\d+)', response_text)
time_text = read_text_by_regex('(\d+:\d+:\d+)', response_text)
india_date = date_time_strings_to_kolkata_date(date_text, "DD/MM/YYYY", time_text, "HH:mm:ss")
punjab_match = search('<tr>(.*?)PUNJAB(.*?)</tr>', response_text, M|I|S).group(0)
punjab_tr_text = findall('<tr>(.*?)</tr>', punjab_match, M|I|S)[1]
punjab_text_font_cleaned = sub('<font(.*?)>', '', sub('</font>', '', punjab_tr_text))
punjab_text_bold_cleaned = sub('<b>', '', sub('</b>', '', punjab_text_font_cleaned))
punjab_text_paragraph_cleaned = sub('<p(.*?)>', '', sub(' ', '', punjab_text_bold_cleaned))
punjab_soap = BeautifulSoup(punjab_text_paragraph_cleaned, 'html.parser')
consumption_td = punjab_soap.findAll('td')[3]
data = {
'countryCode': country_code,
'datetime': india_date.datetime,
'consumption': float(consumption_td.text),
'source': 'punjasldc.org'
}
return data
def fetch_production(country_code='IN-CT', session=None):
"""Fetch Chhattisgarh production"""
countrycode.assert_country_code(country_code, 'IN-CT')
html = web.get_response_soup(country_code, 'http://117.239.199.203/csptcl/GEN.aspx', session)
india_date_time = IN.read_datetime_from_span_id(html, 'L37', 'hh:m DD-MM-YY')
korba_east_value = IN.read_value_from_span_id(html, 'L7')
korba_west_value = IN.read_value_from_span_id(html, 'L13')
dsmp_value = IN.read_value_from_span_id(html, 'L16')
marwa_value = IN.read_value_from_span_id(html, 'L23')
coal_value = round(korba_east_value + korba_west_value + dsmp_value + marwa_value, 2)
bango_value = IN.read_value_from_span_id(html, 'L20')
data = {
'countryCode': country_code,
'datetime': india_date_time.datetime,
'production': {
'coal': coal_value,
'hydro': bango_value
},
'source': 'cspc.co.in',
}
return data
def fetch_production(country_code='IN-CT', session=None):
"""Fetch Chhattisgarh production"""
countrycode.assert_country_code(country_code, 'IN-CT')
html = web.get_response_soup(country_code, 'http://117.239.199.203/csptcl/GEN.aspx', session)
india_date_time = IN.read_datetime_from_span_id(html, 'L37', 'hh:m DD-MM-YY')
korba_east_value = IN.read_value_from_span_id(html, 'L7')
korba_west_value = IN.read_value_from_span_id(html, 'L13')
dsmp_value = IN.read_value_from_span_id(html, 'L16')
marwa_value = IN.read_value_from_span_id(html, 'L23')
coal_value = round(korba_east_value + korba_west_value + dsmp_value + marwa_value, 2)
bango_value = IN.read_value_from_span_id(html, 'L20')
data = {
'countryCode': country_code,
'datetime': india_date_time.datetime,
'production': {
'coal': coal_value,
'hydro': bango_value
},
'source': 'cspc.co.in',
}
return data
def fetch_consumption(country_code='IN-PB', session=None):
"""Fetch Punjab consumption"""
countrycode.assert_country_code(country_code, 'IN-PB')
response_text = web.get_response_text(country_code, 'http://www.punjabsldc.org/nrrealw.asp?pg=nrGenReal',
session)
date_text = read_text_by_regex('(\d+/\d+/\d+)', response_text)
time_text = read_text_by_regex('(\d+:\d+:\d+)', response_text)
india_date = date_time_strings_to_kolkata_date(date_text, "MM/DD/YYYY", time_text, "HH:mm:ss")
punjab_match = search('<tr>(.*?)PUNJAB(.*?)</tr>', response_text, M|I|S).group(0)
punjab_tr_text = findall('<tr>(.*?)</tr>', punjab_match, M|I|S)[1]
punjab_text_font_cleaned = sub('<font(.*?)>', '', sub('</font>', '', punjab_tr_text))
punjab_text_bold_cleaned = sub('<b>', '', sub('</b>', '', punjab_text_font_cleaned))
punjab_text_paragraph_cleaned = sub('<p(.*?)>', '', sub(' ', '', punjab_text_bold_cleaned))
punjab_soap = BeautifulSoup(punjab_text_paragraph_cleaned, 'html.parser')
consumption_td = punjab_soap.findAll('td')[3]
data = {
'countryCode': country_code,
'datetime': india_date.datetime,
'consumption': float(consumption_td.text),
'source': 'punjasldc.org'
}
return data
def fetch_production(country_code='IN-DL', session=None):
"""Fetch Delhi production"""
countrycode.assert_country_code(country_code, 'IN-DL')
html = web.get_response_soup(
country_code, 'http://www.delhisldc.org/Redirect.aspx?Loc=0804',
session)
india_date_string = IN.read_text_from_span_id(
html, 'ContentPlaceHolder3_ddgenco')
india_date_time = IN.read_datetime_with_only_time(india_date_string,
'HH:mm:ss')
prod_table = html.find("table", {"id": "ContentPlaceHolder3_dgenco"})
prod_rows = prod_table.findAll('tr')
# BTPS https://en.wikipedia.org/wiki/Badarpur_Thermal_Power_Station
btps = read_value(prod_rows[1])
# CCGT https://en.wikipedia.org/wiki/Pragati-III_Combined_Cycle_Power_Plant
ccgt = read_value(prod_rows[2])
# DMSWSL Unknown
dmswsl = read_value(prod_rows[3])
# EDWPL Unknown
edwpl = read_value(prod_rows[4])
# GT Unknown
gt = read_value(prod_rows[5])
# Pragati
pragati = read_value(prod_rows[6])
# TOWMP Waste?
towmp = read_value(prod_rows[7])
# Coal production
coal = btps
# Gas production
gas = ccgt + pragati
# Unknown production
unknown_value = dmswsl + edwpl + gt + towmp
data = {
'countryCode': country_code,
'datetime': india_date_time.datetime,
'production': {
'coal': coal,
'gas': gas,
'unknown': unknown_value
},
'source': 'delhisldc.org',
}
return data
def fetch_production(country_code='IN-DL', session=None):
"""Fetch Delhi production"""
countrycode.assert_country_code(country_code, 'IN-DL')
html = web.get_response_soup(
country_code, 'http://www.delhisldc.org/Redirect.aspx?Loc=0804',
session)
india_date_string = IN.read_text_from_span_id(
html, 'ContentPlaceHolder3_ddgenco')
india_date_time = IN.read_datetime_with_only_time(india_date_string,
'HH:mm:ss')
prod_table = html.find("table", {"id": "ContentPlaceHolder3_dgenco"})
prod_rows = prod_table.findAll('tr')
# BTPS https://en.wikipedia.org/wiki/Badarpur_Thermal_Power_Station
btps = read_value(prod_rows[1])
# CCGT https://en.wikipedia.org/wiki/Pragati-III_Combined_Cycle_Power_Plant = Pragati-3
ccgt = read_value(prod_rows[2])
# DMSWSL (Delhi Municipal Solid Waste Solutions Limited): Garbage-to-electricity
dmswsl = read_value(prod_rows[3])
# EDWPL (East Delhi Waste Processing Company Limited): Garbage-to-electricity
edwpl = read_value(prod_rows[4])
# GT (Gas Turbine) https://en.wikipedia.org/wiki/IPGCL_Gas_Turbine_Power_Station
gt = read_value(prod_rows[5])
# Pragati https://en.wikipedia.org/wiki/Pragati-I_Combined_Cycle_Gas_Power_Station = Pragati-1
pragati = read_value(prod_rows[6])
# TOWMP (Timarpur Okhla Waste Management Company Pvt. Ltd.): Garbage-to-electricity
towmp = read_value(prod_rows[7])
# Coal production
coal = btps
# Gas production
gas = ccgt + pragati + gt
# Unknown production
garbage = dmswsl + edwpl + towmp
data = {
'countryCode': country_code,
'datetime': india_date_time.datetime,
'production': {
'coal': coal,
'gas': gas,
'biomass': garbage
},
'source': 'delhisldc.org',
}
return data
def fetch_production(country_code='IN-PB', session=None):
"""Fetch Punjab production"""
countrycode.assert_country_code(country_code, 'IN-PB')
response_text = web.get_response_text(
country_code, 'http://www.punjabsldc.org/pungenrealw.asp?pg=pbGenReal',
session)
time_text = read_text_by_regex('(\d+:\d+:\d+)', response_text)
utc = utcnow().floor('hour')
india_now = utc.to('Asia/Kolkata')
time = get(time_text, 'HH:mm:ss')
india_date = india_now.replace(hour=time.hour,
minute=time.minute,
second=time.second)
if india_date > india_now:
india_date.shift(days=-1)
solar_match = search('Total Solar Generation = \d+', response_text)
solar_text = solar_match.group(0)
solar_value = findall('\d+', solar_text)[0]
hydro_match = search('Total Hydro = \d+', response_text)
hydro_text = hydro_match.group(0)
hydro_value = findall('\d+', hydro_text)[0]
thermal_match = search('Total Thermal = \d+', response_text)
thermal_text = thermal_match.group(0)
thermal_value = findall('\d+', thermal_text)[0]
ipp_match = search('Total IPPs = \d+', response_text)
ipp_text = ipp_match.group(0)
ipp_value = findall('\d+', ipp_text)[0]
data = {
'countryCode': country_code,
'datetime': india_date.datetime,
'production': {
'biomass': 0.0,
'coal': round(float(thermal_value) + float(ipp_value), 2),
'gas': 0.0,
'hydro': float(hydro_value),
'nuclear': 0.0,
'oil': 0.0,
'solar': float(solar_value),
'wind': 0.0,
'geothermal': 0.0,
'unknown': 0.0
},
'storage': {
'hydro': 0.0
},
'source': 'punjasldc.org',
}
return data
def fetch_production(country_code='IN-DL', session=None):
"""Fetch Delhi production"""
countrycode.assert_country_code(country_code, 'IN-DL')
html = web.get_response_soup(country_code, 'http://www.delhisldc.org/Redirect.aspx?Loc=0804', session)
india_date_string = IN.read_text_from_span_id(html, 'ContentPlaceHolder3_ddgenco')
india_date_time = IN.read_datetime_with_only_time(india_date_string, 'HH:mm:ss')
prod_table = html.find("table", {"id": "ContentPlaceHolder3_dgenco"})
prod_rows = prod_table.findAll('tr')
# BTPS https://en.wikipedia.org/wiki/Badarpur_Thermal_Power_Station
btps = read_value(prod_rows[1])
# CCGT https://en.wikipedia.org/wiki/Pragati-III_Combined_Cycle_Power_Plant
ccgt = read_value(prod_rows[2])
# DMSWSL Unknown
dmswsl = read_value(prod_rows[3])
# EDWPL Unknown
edwpl = read_value(prod_rows[4])
# GT Unknown
gt = read_value(prod_rows[5])
# Pragati
pragati = read_value(prod_rows[6])
# TOWMP Waste?
towmp = read_value(prod_rows[7])
# Coal production
coal = btps
# Gas production
gas = ccgt + pragati
# Unknown production
unknown_value = dmswsl + edwpl + gt + towmp
data = {
'countryCode': country_code,
'datetime': india_date_time.datetime,
'production': {
'coal': coal,
'gas': gas,
'unknown': unknown_value
},
'source': 'delhisldc.org',
}
return data
def fetch_production(country_code='IN-PB', session=None):
"""Fetch Punjab production"""
countrycode.assert_country_code(country_code, 'IN-PB')
response_text = web.get_response_text(country_code, 'http://www.punjabsldc.org/pungenrealw.asp?pg=pbGenReal', session)
time_text = read_text_by_regex('(\d+:\d+:\d+)', response_text)
utc = utcnow().floor('hour')
india_now = utc.to('Asia/Kolkata')
time = get(time_text, 'HH:mm:ss')
india_date = india_now.replace(hour=time.hour, minute=time.minute, second=time.second)
if india_date > india_now:
india_date.shift(days=-1)
solar_match = search('Total Solar Generation = \d+', response_text)
solar_text = solar_match.group(0)
solar_value = findall('\d+', solar_text)[0]
hydro_match = search('Total Hydro = \d+', response_text)
hydro_text = hydro_match.group(0)
hydro_value = findall('\d+', hydro_text)[0]
thermal_match = search('Total Thermal = \d+', response_text)
thermal_text = thermal_match.group(0)
thermal_value = findall('\d+', thermal_text)[0]
ipp_match = search('Total IPPs = \d+',response_text)
ipp_text = ipp_match.group(0)
ipp_value = findall('\d+', ipp_text)[0]
data = {
'countryCode': country_code,
'datetime': india_date.datetime,
'production': {
'biomass': 0.0,
'coal': round(float(thermal_value) + float(ipp_value), 2),
'gas': 0.0,
'hydro': float(hydro_value),
'nuclear': 0.0,
'oil': 0.0,
'solar': float(solar_value),
'wind': 0.0,
'geothermal': 0.0,
'unknown': 0.0
},
'storage': {
'hydro': 0.0
},
'source': 'punjasldc.org',
}
return data
def fetch_consumption(country_code='IN-DL', session=None):
"""Fetch Delhi consumption"""
countrycode.assert_country_code(country_code, 'IN-DL')
html = web.get_response_soup(country_code, 'http://www.delhisldc.org/Redirect.aspx', session)
india_date_time = IN.read_datetime_from_span_id(html, 'DynamicData1_LblDate', 'DD-MMM-YYYY hh:mm:ss A')
demand_value = IN.read_value_from_span_id(html, 'DynamicData1_LblLoad')
data = {
'countryCode': country_code,
'datetime': india_date_time.datetime,
'consumption': demand_value,
'source': 'delhisldc.org'
}
return data
def fetch_consumption(country_code='IN-CT', session=None):
"""Fetch Chhattisgarh consumption"""
countrycode.assert_country_code(country_code, 'IN-CT')
html = web.get_response_soup(country_code, 'http://117.239.199.203/csptcl/GEN.aspx', session)
india_date_time = IN.read_datetime_from_span_id(html, 'L37', 'hh:m DD-MM-YY')
demand_value = IN.read_value_from_span_id(html, 'L29')
data = {
'countryCode': country_code,
'datetime': india_date_time.datetime,
'consumption': demand_value,
'source': 'cspc.co.in'
}
return data
def fetch_consumption(country_code='IN-KA', session=None):
"""Fetch Karnataka consumption"""
countrycode.assert_country_code(country_code, 'IN-KA')
html = web.get_response_soup(country_code, 'http://kptclsldc.com/Default.aspx', session)
india_date_time = india.read_datetime_from_span_id(html, 'Label6', 'DD/MM/YYYY HH:mm')
demand_value = india.read_value_from_span_id(html, 'Label5')
data = {
'countryCode': country_code,
'datetime': india_date_time.datetime,
'consumption': demand_value,
'source': 'kptclsldc.com'
}
return data
def fetch_consumption(country_code='IN-CT', session=None):
"""Fetch Chhattisgarh consumption"""
countrycode.assert_country_code(country_code, 'IN-CT')
html = web.get_response_soup(country_code, 'http://117.239.199.203/csptcl/GEN.aspx', session)
india_date_time = IN.read_datetime_from_span_id(html, 'L37', 'hh:m DD-MM-YY')
demand_value = IN.read_value_from_span_id(html, 'L29')
data = {
'countryCode': country_code,
'datetime': india_date_time.datetime,
'consumption': demand_value,
'source': 'cspc.co.in'
}
return data
def fetch_consumption(country_code='IN-KA', session=None):
"""Fetch Karnataka consumption"""
countrycode.assert_country_code(country_code, 'IN-KA')
html = web.get_response_soup(country_code, 'http://kptclsldc.com/Default.aspx', session)
india_date_time = IN.read_datetime_from_span_id(html, 'Label6', 'DD/MM/YYYY HH:mm')
demand_value = IN.read_value_from_span_id(html, 'Label5')
data = {
'countryCode': country_code,
'datetime': india_date_time.datetime,
'consumption': demand_value,
'source': 'kptclsldc.com'
}
return data
def fetch_consumption(country_code='IN-DL', session=None):
"""Fetch Delhi consumption"""
countrycode.assert_country_code(country_code, 'IN-DL')
html = web.get_response_soup(country_code,
'http://www.delhisldc.org/Redirect.aspx',
session)
india_date_time = IN.read_datetime_from_span_id(html,
'DynamicData1_LblDate',
'DD-MMM-YYYY hh:mm:ss A')
demand_value = IN.read_value_from_span_id(html, 'DynamicData1_LblLoad')
data = {
'countryCode': country_code,
'datetime': india_date_time.datetime,
'consumption': demand_value,
'source': 'delhisldc.org'
}
return data
def test_assert_country_code(self):
try:
countrycode.assert_country_code('ES', 'ES', 'ESIOS')
except ParserException as ex:
self.fail("assert_country_code() raised ParserException unexpectedly!")
try:
countrycode.assert_country_code('ES', 'ES-IB')
except ParserException as ex:
self.assertIsInstance(ex, ParserException)
self.assertEquals(str(ex), "ES Parser (ES): Country_code expected ES-IB, is ES")
try:
countrycode.assert_country_code('ES', 'ES-IB', 'ESIOS')
except ParserException as ex:
self.assertIsInstance(ex, ParserException)
self.assertEquals(str(ex), "ESIOS Parser (ES): Country_code expected ES-IB, is ES")
def fetch_production(country_code='IN-KA', session=None):
"""Fetch Karnataka production"""
countrycode.assert_country_code(country_code, 'IN-KA')
html = web.get_response_soup(country_code, 'http://kptclsldc.com/StateGen.aspx', session)
india_date_time = IN.read_datetime_from_span_id(html, 'lbldate', 'M/D/YYYY h:mm:ss A')
# RTPS Production: https://en.wikipedia.org/wiki/Raichur_Thermal_Power_Station
rtps_value = IN.read_value_from_span_id(html, 'lblrtptot')
# BTPS Production: https://en.wikipedia.org/wiki/Bellary_Thermal_Power_station
btps_value = IN.read_value_from_span_id(html, 'lblbtptot')
# YTPS Production: https://en.wikipedia.org/wiki/Yermarus_Thermal_Power_Station
ytps_value = IN.read_value_from_span_id(html, 'ytptot')
# UPCL Production: https://en.wikipedia.org/wiki/Udupi_Power_Plant
upcl_value = IN.read_value_from_span_id(html, 'lblupctot')
# JINDAl Production
jindal_value = IN.read_value_from_span_id(html, 'lbljintot')
# Coal Production
coal_value = rtps_value + btps_value + ytps_value + upcl_value + jindal_value
# Sharavati Production
sharavati_value = IN.read_value_from_span_id(html, 'lblshvytot')
# Nagjhari Production
nagjhari_value = IN.read_value_from_span_id(html, 'lblngjtot')
# Varahi Production
varahi_value = IN.read_value_from_span_id(html, 'lblvrhtot')
# Kodsalli Production
kodsalli_value = IN.read_value_from_span_id(html, 'lblkdsltot')
# Kadra Production
kadra_value = IN.read_value_from_span_id(html, 'lblkdrtot')
# GERUSOPPA production
gerusoppa_value = IN.read_value_from_span_id(html, 'lblgrsptot')
# JOG production
jog_value = IN.read_value_from_span_id(html, 'lbljogtot')
# LPH Production
lph_value = IN.read_value_from_span_id(html, 'lbllphtot')
# Supa production
supa_value = IN.read_value_from_span_id(html, 'lblsupatot')
# SHIMSHA
shimsha_value = IN.read_value_from_span_id(html, 'lblshimtot')
# SHIVASAMUDRA
shivasamudra_value = IN.read_value_from_span_id(html, 'lblshivtot')
# MANIDAM
manidam_value = IN.read_value_from_span_id(html, 'lblmanitot')
# MUNRABAD
munrabad_value = IN.read_value_from_span_id(html, 'lblmbdtot')
# BHADRA
bhadra_value = IN.read_value_from_span_id(html, 'lblbdratot')
# GHATAPRABHA
ghataprabha_value = IN.read_value_from_span_id(html, 'lblgtprtot')
# ALMATTI
almatti_value = IN.read_value_from_span_id(html, 'lblalmttot')
# CGS Production
# TODO: Search CGS production type
cgs_value = IN.read_value_from_span_id(html, 'lblcgs')
# NCEP Production
ncep_html = web.get_response_soup(country_code, 'http://kptclsldc.com/StateNCEP.aspx', session)
ncep_date_time = IN.read_datetime_from_span_id(ncep_html, 'Label1', 'DD/MM/YYYY HH:mm:ss')
# Check ncep date is similar than state gen date
if abs(india_date_time.timestamp - ncep_date_time.timestamp) > 600:
raise ParserException('IN-KA', 'NCEP or State datetime is not valid')
biomass_value = IN.read_value_from_span_id(ncep_html, 'lbl_tb')
# TODO: Cogeneration value production type?
cogen_value = IN.read_value_from_span_id(ncep_html, 'lbl_tc')
mini_hydro_value = IN.read_value_from_span_id(ncep_html, 'lbl_tm')
wind_value = IN.read_value_from_span_id(ncep_html, 'lbl_tw')
solar_value = IN.read_value_from_span_id(ncep_html, 'lbl_ts')
# Hydro production
hydro_value = sharavati_value + nagjhari_value + varahi_value + kodsalli_value \
+ kadra_value + gerusoppa_value + jog_value + lph_value + supa_value \
+ shimsha_value + shivasamudra_value + manidam_value + munrabad_value \
+ bhadra_value + ghataprabha_value + almatti_value + mini_hydro_value
# Unknown production
unknown_value = cgs_value + cogen_value
data = {
'countryCode': country_code,
'datetime': india_date_time.datetime,
'production': {
'biomass': biomass_value,
'coal': coal_value,
'gas': 0.0,
'hydro': hydro_value,
'nuclear': 0.0,
'oil': 0.0,
'solar': solar_value,
'wind': wind_value,
'geothermal': 0.0,
'unknown': unknown_value
},
'storage': {
'hydro': 0.0
},
'source': 'kptclsldc.com',
}
return data
def fetch_production(country_code='IN-KA', session=None):
"""Fetch Karnataka production"""
countrycode.assert_country_code(country_code, 'IN-KA')
html = web.get_response_soup(country_code,
'http://kptclsldc.com/StateGen.aspx', session)
india_date_time = IN.read_datetime_from_span_id(html, 'lbldate',
'M/D/YYYY h:mm:ss A')
# RTPS Production: https://en.wikipedia.org/wiki/Raichur_Thermal_Power_Station
rtps_value = IN.read_value_from_span_id(html, 'lblrtptot')
# BTPS Production: https://en.wikipedia.org/wiki/Bellary_Thermal_Power_station
btps_value = IN.read_value_from_span_id(html, 'lblbtptot')
# YTPS Production: https://en.wikipedia.org/wiki/Yermarus_Thermal_Power_Station
ytps_value = IN.read_value_from_span_id(html, 'ytptot')
# UPCL Production: https://en.wikipedia.org/wiki/Udupi_Power_Plant
upcl_value = IN.read_value_from_span_id(html, 'lblupctot')
# JINDAl Production: https://en.wikipedia.org/wiki/JSW_Vijayanagar_Power_Station
jindal_value = IN.read_value_from_span_id(html, 'lbljintot')
# Coal Production
coal_value = rtps_value + btps_value + ytps_value + upcl_value + jindal_value
# Sharavati Production: Sharavati Hydroelectric
sharavati_value = IN.read_value_from_span_id(html, 'lblshvytot')
# Nagjhari Production: Kalinadi-Nagjhari Hydroelectric
nagjhari_value = IN.read_value_from_span_id(html, 'lblngjtot')
# Varahi Production: https://en.wikipedia.org/wiki/Varahi_River#Varahi_Hydro-electric_Project
varahi_value = IN.read_value_from_span_id(html, 'lblvrhtot')
# Kodsalli Production: Kalinadi Kodasalli Hydroelectric
kodsalli_value = IN.read_value_from_span_id(html, 'lblkdsltot')
# Kadra Production: https://en.wikipedia.org/wiki/Kadra_Dam
kadra_value = IN.read_value_from_span_id(html, 'lblkdrtot')
# GERUSOPPA production: Gerusoppa Dam
gerusoppa_value = IN.read_value_from_span_id(html, 'lblgrsptot')
# JOG production: https://en.wikipedia.org/wiki/Jog_Falls
jog_value = IN.read_value_from_span_id(html, 'lbljogtot')
# LPH Production: Linganamakki Dam
lph_value = IN.read_value_from_span_id(html, 'lbllphtot')
# Supa production: https://en.wikipedia.org/wiki/Supa_Dam
supa_value = IN.read_value_from_span_id(html, 'lblsupatot')
# SHIMSHA: https://en.wikipedia.org/wiki/Shimsha#Power_generation
shimsha_value = IN.read_value_from_span_id(html, 'lblshimtot')
# SHIVASAMUDRA: https://en.wikipedia.org/wiki/Shivanasamudra_Falls#Power_generation
shivasamudra_value = IN.read_value_from_span_id(html, 'lblshivtot')
# MANIDAM: Mani Dam Hydroelectric
manidam_value = IN.read_value_from_span_id(html, 'lblmanitot')
# MUNRABAD: Munirabad Hydroelectric
munrabad_value = IN.read_value_from_span_id(html, 'lblmbdtot')
# BHADRA: https://en.wikipedia.org/wiki/Bhadra_Dam
bhadra_value = IN.read_value_from_span_id(html, 'lblbdratot')
# GHATAPRABHA: Ghataprabha Hydroelectric
ghataprabha_value = IN.read_value_from_span_id(html, 'lblgtprtot')
# ALMATTI: https://en.wikipedia.org/wiki/Almatti_Dam
almatti_value = IN.read_value_from_span_id(html, 'lblalmttot')
# CGS (Central Generating Stations) Production
# TODO: Search CGS production type
cgs_value = IN.read_value_from_span_id(html, 'lblcgs')
# NCEP (Non-Conventional Energy Production)
ncep_html = web.get_response_soup(country_code,
'http://kptclsldc.com/StateNCEP.aspx',
session)
ncep_date_time = IN.read_datetime_from_span_id(ncep_html, 'Label1',
'DD/MM/YYYY HH:mm:ss')
# Check ncep date is similar than state gen date
if abs(india_date_time.timestamp - ncep_date_time.timestamp) > 600:
raise ParserException('IN-KA', 'NCEP or State datetime is not valid')
biomass_value = IN.read_value_from_span_id(ncep_html, 'lbl_tb')
# TODO: Cogeneration value production type?
cogen_value = IN.read_value_from_span_id(ncep_html, 'lbl_tc')
mini_hydro_value = IN.read_value_from_span_id(ncep_html, 'lbl_tm')
wind_value = IN.read_value_from_span_id(ncep_html, 'lbl_tw')
solar_value = IN.read_value_from_span_id(ncep_html, 'lbl_ts')
# Hydro production
hydro_value = sharavati_value + nagjhari_value + varahi_value + kodsalli_value \
+ kadra_value + gerusoppa_value + jog_value + lph_value + supa_value \
+ shimsha_value + shivasamudra_value + manidam_value + munrabad_value \
+ bhadra_value + ghataprabha_value + almatti_value + mini_hydro_value
# Unknown production
unknown_value = cgs_value + cogen_value
data = {
'countryCode': country_code,
'datetime': india_date_time.datetime,
'production': {
'biomass': biomass_value,
'coal': coal_value,
'gas': 0.0,
'hydro': hydro_value,
'nuclear': 0.0,
'oil': 0.0,
'solar': solar_value,
'wind': wind_value,
'geothermal': 0.0,
'unknown': unknown_value
},
'storage': {
'hydro': 0.0
},
'source': 'kptclsldc.com',
}
return data
