def generate_web_summary(web_object, community):
"""generate html summary for a community.
generates web_object.directory/community/biomass_pellet.html and
associated csv files.
Parameters
----------
web_object: WebSummary
a WebSummary object
community: str
community name
See also
--------
aaem.web :
WebSummary object definition
"""
## get the template
template = web_object.env.get_template('component.html')
## get the component (the modeled one)
modeled = web_object.results[community][COMPONENT_NAME]
if modeled.reason != 'OK':
raise RuntimeError, modeled.reason
start_year = modeled.start_year
end_year = modeled.actual_end_year
## for make table functions
projects = {'Modeled ' + COMPONENT_NAME: modeled}
## get forecast stuff (consumption, generation, etc)
fc = modeled.forecast
#~ ires = web_object.results[community]['Residential Energy Efficiency']
icom = web_object.results[community]['Non-residential Energy Efficiency']
#~ iwat = web_object.results[community]['Water and Wastewater Efficiency']
data = DataFrame(fc.population['population'])
#~ df = DataFrame(ires.baseline_fuel_Hoil_consumption,
#~ columns =['col'],
#~ index = range(ires.start_year, ires.end_year+1))
#~ data['heating_fuel_residential_consumed [gallons/year]'] = \
#~ df['col'].round()
df = DataFrame(icom.baseline_HF_consumption * constants.mmbtu_to_gal_HF,
columns=['col'],
index=range(icom.start_year, icom.end_year + 1))
data['heating_fuel_non-residential_consumed [gallons/year]'] = \
df['col'].round()
#~ df = DataFrame(
#~ iwat.baseline_HF_consumption * constants.mmbtu_to_gal_HF,
#~ columns =['col'],
#~ index = range(iwat.start_year, iwat.end_year+1))
#~ data['heating_fuel_water-wastewater_consumed [gallons/year]'] = \
#~ df['col'].round()
data['heating_fuel_total_consumed [gallons/year]'] = \
data[[
#~ 'heating_fuel_residential_consumed [gallons/year]',
'heating_fuel_non-residential_consumed [gallons/year]',
#~ 'heating_fuel_water-wastewater_consumed [gallons/year]',
]].sum(1)
fuel_consumed = data['heating_fuel_total_consumed [gallons/year]']\
.ix[start_year:end_year]
## get the diesel prices
diesel_price = web_object.results[community]['community data'].\
get_item('community','diesel prices').\
ix[start_year: end_year] + \
web_object.results[community]['community data'].\
get_item('community','heating fuel premium')
diesel_price = diesel_price[diesel_price.columns[0]]
## get diesel generator efficiency
eff = modeled.cd['diesel generation efficiency']
## get generation fuel costs per year (modeled)
base_cost = fuel_consumed * diesel_price
base_cost.name = 'Base Cost'
table1 = wl.make_costs_table(community, COMPONENT_NAME, projects,
base_cost, web_object.directory)
## get generation fuel used (modeled)
base_con = fuel_consumed
base_con.name = 'Base Consumption'
table2 = wl.make_consumption_table(community, COMPONENT_NAME, projects,
base_con, web_object.directory,
'heat_diesel_displaced')
## info for modeled
info = create_project_details_list(modeled)
## info table (list to send to template)
info_for_projects = [{
'name': 'Modeled biomass pellet project',
'info': info
}]
## create list of charts
charts = [{
'name': 'costs',
'data': str(table1).replace('nan', 'null'),
'title': 'Estimated Heating Fuel Costs for non-residential sector',
'type': "'$'",
'plot': True,
}, {
'name': 'consumption',
'data': str(table2).replace('nan', 'null'),
'title': 'Heating Fuel Consumed for non-residential sector',
'type': "'other'",
'plot': True,
}]
## generate html
## generate html
msg = None
if community in web_object.bad_data_coms:
msg = web_object.bad_data_msg
pth = os.path.join(
web_object.directory, community.replace("'", ''),
COMPONENT_NAME.replace(' ', '_').replace(' ', '_').replace(
'(', '').replace(')', '').lower() + '.html')
with open(pth, 'w') as html:
html.write(
template.render(
info=info_for_projects,
type=COMPONENT_NAME,
com=community.replace("'", ''),
charts=charts,
summary_pages=['Summary'] + comp_order,
sections=web_object.get_summary_pages(),
message=msg,
description=DESCRIPTION,
metadata=web_object.metadata,
))
def generate_web_summary(web_object, community):
"""generate html summary for a community.
generates web_object.directory/community/<component>.html and
associated csv files.
Parameters
----------
web_object: WebSummary
a WebSummary object
community: str
community name
See also
--------
aaem.web :
WebSummary object definition
"""
## get the template
template = web_object.component_html
## get the component (the modeled one)
modeled = web_object.results[community][COMPONENT_NAME]
#~ start_year = modeled.start_year
#~ end_year = modeled.actual_end_year
## get the component (for projects)
## also figure out the needed start/end years
projects, s1, e1 = wl.get_projects(web_object, community, COMPONENT_NAME,
'wind')
start_year, end_year = wl.correct_dates(modeled.start_year, s1,
modeled.actual_end_year, e1)
order = projects.keys()
projects['Modeled ' + COMPONENT_NAME] = modeled
order = ['Modeled ' + COMPONENT_NAME] + order
## get forecast stuff (consumption, generation, etc)
fc = modeled.forecast
generation = fc.generation['generation diesel'].\
ix[start_year:end_year]
## get the diesel prices
diesel_price = web_object.results[community]['community data'].\
get_item('community','diesel prices').\
ix[start_year: end_year]#values
diesel_price = diesel_price[diesel_price.columns[0]]
## get diesel generator efficiency
eff = modeled.cd['diesel generation efficiency']
## get generation fuel costs per year (modeled)
base_cost = generation / eff * diesel_price
base_cost.name = 'Base Cost'
table1 = wl.make_costs_table(community, COMPONENT_NAME, projects,
base_cost, web_object.directory)
## get generation fuel used (modeled)
base_con = generation / eff
base_con.name = 'Base Consumption'
table2 = wl.make_consumption_table(community, COMPONENT_NAME, projects,
base_con, web_object.directory,
'electric_diesel_reduction')
## info for modeled
#~ print web_object.results[community]
current = wl.create_electric_system_summary(web_object, community)
#~ info = create_project_details_list(modeled)
## info table (list to send to template)
info_for_projects = [{'name': 'Current System', 'info': current}]
#~ {'name': 'Modeled Wind Project', 'info': info}]
## get info for projects (updates info_for_projects )
for p in order:
project = projects[p]
try:
name = project.comp_specs['project details']['name']
except KeyError:
name = 'nan'
if name == 'nan':
name = p.replace('+', ' ').replace('_', ' ')
info = create_project_details_list(project)
info_for_projects.append({'name': name, 'info': info})
## create list of charts
charts = [{
'name': 'costs',
'data': str(table1).replace('nan', 'null'),
'title': 'Estimated Electricity Generation Costs per Year',
'type': "'$'",
'plot': True,
}, {
'name': 'consumption',
'data': str(table2).replace('nan', 'null'),
'title': 'Diesel Consumed for Electricity Generation ',
'type': "'other'",
'plot': True,
}]
## generate html
msg = None
if community in web_object.bad_data_coms:
msg = web_object.bad_data_msg
pth = os.path.join(web_object.directory, community.replace("'", ''),
COMPONENT_NAME.replace(' ', '_').lower() + '.html')
with open(pth, 'w') as html:
html.write(
template.render(info=info_for_projects,
type=COMPONENT_NAME,
com=community.replace("'", ''),
charts=charts,
summary_pages=['Summary'] + comp_order,
sections=web_object.get_summary_pages(),
description=DESCRIPTION,
metadata=web_object.metadata,
message=msg))
def generate_web_summary (web_object, community):
"""generate html summary for a community.
generates web_object.directory/community/ashp_residential.html and
associated csv files.
Parameters
----------
web_object: WebSummary
a WebSummary object
community: str
community name
See also
--------
aaem.web :
WebSummary object definition
"""
## get the template
template = web_object.component_html
## get the component (the modeled one)
modeled = web_object.results[community][COMPONENT_NAME]
start_year = modeled.start_year
end_year = modeled.actual_end_year
## for make table functions
projects = {'Modeled ' + COMPONENT_NAME: modeled}
## get forecast stuff (consumption, generation, etc)
r_comp = web_object.results[community]["Residential Energy Efficiency"]
fuel_consumed = DataFrame(
r_comp.baseline_HF_consumption,
columns=['fuel consumed'],
index = range(r_comp.start_year, r_comp.end_year+1)
)['fuel consumed'].ix[start_year:end_year]
fuel_consumed = fuel_consumed * constants.mmbtu_to_gal_HF
## get the diesel prices
diesel_price = \
modeled.cd['diesel prices'] + modeled.cd['heating fuel premium']
#~ print diesel_price
diesel_price = diesel_price[diesel_price.columns[0]].ix[start_year:end_year]
## get diesel generator efficiency
eff = modeled.cd['diesel generation efficiency']
## get generation fuel costs per year (modeled)
#~ print diesel_price
base_cost = fuel_consumed * diesel_price
base_cost.name = 'Base Cost'
table1 = wl.make_costs_table(community, COMPONENT_NAME, projects, base_cost,
web_object.directory)
## get generation fuel used (modeled)
base_con = (base_cost - base_cost) + fuel_consumed
base_con.name = 'Base Consumption'
table2 = wl.make_consumption_table(community, COMPONENT_NAME,
projects, base_con,
web_object.directory,
'get_fuel_total_saved()')
## info for modeled
info = create_project_details_list (modeled)
## info table (list to send to template)
info_for_projects = [{'name':'Modeled residential air source heat pump project',
'info':info}]
## create list of charts
charts = [
{'name':'costs', 'data': str(table1).replace('nan','null'),
'title': 'Estimated Heating Fuel Costs for residential sector',
'type': "'$'",'plot': True,},
{'name':'consumption', 'data': str(table2).replace('nan','null'),
'title':'Heating Fuel Consumed by residential sector',
'type': "'other'",'plot': True,}
]
## generate html
## generate html
msg = None
if community in web_object.bad_data_coms:
msg = web_object.bad_data_msg
pth = os.path.join(web_object.directory, community.replace("'",''),
COMPONENT_NAME.replace(' ','_').replace('(','').replace(')','').lower() + '.html')
with open(pth, 'w') as html:
html.write(template.render( info = info_for_projects,
type = COMPONENT_NAME,
com = community.replace("'",'') ,
charts = charts,
summary_pages = ['Summary'] + comp_order ,
sections = web_object.get_summary_pages(),
description = DESCRIPTION,
metadata = web_object.metadata,
message = msg
))
def generate_web_summary(web_object, community):
"""generate html summary for a community.
generates web_object.directory/community/<component>.html and
associated csv files.
Parameters
----------
web_object: WebSummary
a WebSummary object
community: str
community name
See also
--------
aaem.web :
WebSummary object definition
"""
## get the template
template = web_object.component_html
## get the component (the modeled one)
modeled = web_object.results[community][COMPONENT_NAME]
start_year = modeled.start_year
end_year = modeled.actual_end_year
## for make table functions
projects = {'Modeled ' + COMPONENT_NAME + ' (PV)': modeled}
## get forecast stuff (consumption, generation, etc)
fc = modeled.forecast
generation = fc.generation['generation diesel'].\
ix[start_year:end_year]
## get the diesel prices
diesel_price = web_object.results[community]['community data'].\
get_item('community','diesel prices').\
ix[start_year: end_year]#values
diesel_price = diesel_price[diesel_price.columns[0]]
## get diesel generator efficiency
eff = modeled.cd['diesel generation efficiency']
## get generation fuel costs per year (modeled)
base_cost = generation / eff * diesel_price
base_cost.name = 'Base Cost'
table1 = wl.make_costs_table(community, COMPONENT_NAME, projects,
base_cost, web_object.directory)
## get generation fuel used (modeled)
base_con = generation / eff
base_con.name = 'Base Consumption'
table2 = wl.make_consumption_table(community, COMPONENT_NAME, projects,
base_con, web_object.directory,
'get_fuel_total_saved()')
current = wl.create_electric_system_summary(web_object, community)
## info for modeled
info = create_project_details_list(modeled)
## info table (list to send to template)
info_for_projects = [{
'name': 'Current System',
'info': current
}, {
'name': 'Modeled Solar Project',
'info': info
}]
## create list of charts
charts = [{
'name': 'costs',
'data': str(table1).replace('nan', 'null'),
'title': 'Estimated Electricity Generation Costs per Year',
'type': "'$'",
'plot': True,
}, {
'name': 'consumption',
'data': str(table2).replace('nan', 'null'),
'title': 'Diesel Consumed for Electricity Generation ',
'type': "'other'",
'plot': True,
}]
## generate html
## generate html
msg = None
if community in web_object.bad_data_coms:
msg = web_object.bad_data_msg
pth = os.path.join(web_object.directory, community.replace("'", ''),
COMPONENT_NAME.replace(' ', '_').lower() + '.html')
with open(pth, 'w') as html:
html.write(
template.render(info=info_for_projects,
type=COMPONENT_NAME,
com=community.replace("'", ''),
charts=charts,
summary_pages=['Summary'] + comp_order,
sections=web_object.get_summary_pages(),
description=DESCRIPTION,
metadata=web_object.metadata,
message=msg))
def generate_web_summary(web_object, community):
"""generate html summary for a community.
generates web_object.directory/community/heat_recovery.html and
associated csv files.
Parameters
----------
web_object: WebSummary
a WebSummary object
community: str
community name
See also
--------
aaem.web :
WebSummary object definition
"""
## get the template
template = web_object.env.get_template('component.html')
## get the component (the modeled one)
modeled = web_object.results[community][COMPONENT_NAME]
## get the component (for projects)
## also figure out the needed start/end years
projects = {}
#~ print community
projects, s1, e1 = wl.get_projects(web_object, community, COMPONENT_NAME,
'heat_recovery')
#~ print projects
if projects == {}:
raise RuntimeError, "no projects or modeling info"
sy = modeled.start_year
ey = modeled.actual_end_year
if np.isnan(modeled.get_net_benefit()).all():
sy = np.nan
ey = np.nan
start_year, end_year = wl.correct_dates(sy, s1, ey, e1)
order = projects.keys()
if not np.isnan(modeled.get_net_benefit()).all():
projects['Modeled ' + COMPONENT_NAME] = modeled
order = ['Modeled ' + COMPONENT_NAME] + order
## get forecast stuff (consumption, generation, etc)
fc = modeled.forecast
nr_comp = web_object.results[community][
"Non-residential Energy Efficiency"]
fuel_consumed = DataFrame(
nr_comp.baseline_HF_consumption,
columns=['fuel consumed'],
index=range(nr_comp.start_year, nr_comp.end_year +
1))['fuel consumed'].ix[start_year:end_year]
fuel_consumed = fuel_consumed * constants.mmbtu_to_gal_HF
## get the diesel prices
diesel_price = web_object.results[community]['community data'].\
get_item('community','diesel prices').\
ix[start_year: end_year] + \
web_object.results[community]['community data'].\
get_item('community','heating fuel premium')
diesel_price = diesel_price[diesel_price.columns[0]]
## get generation fuel costs per year (modeled)
base_cost = fuel_consumed * diesel_price
base_cost.name = 'Base Cost'
table1 = wl.make_costs_table(community, COMPONENT_NAME, projects,
base_cost, web_object.directory)
#~ ## get generation fuel used (modeled)
base_con = fuel_consumed
base_con.name = 'Base Consumption'
table2 = wl.make_consumption_table(community, COMPONENT_NAME, projects,
base_con, web_object.directory,
'proposed_heat_recovery')
## info for modeled
#~ ests = modeled.comp_specs['estimate data']
try:
current_hr = float(
modeled.
comp_specs['est. current annual heating fuel gallons displaced'])
if not modeled.cd['heat recovery operational'].lower == 'no' and\
not np.isnan(current_hr):
current_hr = '{:,.0f}'.format(modeled.comp_specs[
'est. current annual heating fuel gallons displaced'])
elif modeled.comp_specs['heat recovery operational'].lower == 'no':
current_hr = 0
else:
current_hr = "unknown"
except ValueError:
current_hr = "unknown"
current = [
{
'words': 'Waste Heat Recovery Operational',
'value': modeled.cd['heat recovery operational']
},
{
'words': 'Identified as priority by HR working group',
'value': modeled.comp_specs['identified as priority']
},
{
'words': 'Est. current annual heating fuel gallons displaced',
'value': current_hr
},
]
#~ info = create_project_details_list(modeled)
## info table (list to send to template)
info_for_projects = [{'name': 'Current System', 'info': current}]
if not np.isnan(modeled.get_net_benefit()).all():
info_for_projects.append({
'name': 'Modeled ' + COMPONENT_NAME + ' Project',
'info': info
})
## get info for projects (updates info_for_projects )
for p in order:
project = projects[p]
name = project.comp_specs['name']
info = create_project_details_list(project)
#~ print info
info_for_projects.append({'name': name, 'info': info})
## create list of charts
charts = [{
'name': 'costs',
'data': str(table1).replace('nan', 'null'),
'title': 'Estimated Heating Fuel Costs for non-residential buildings',
'type': "'$'",
'plot': True,
}, {
'name': 'consumption',
'data': str(table2).replace('nan', 'null'),
'title': 'Heating Fuel Consumed for non-residential buildings',
'type': "'other'",
'plot': True,
}]
## generate html
msg = None
if community in web_object.bad_data_coms:
msg = web_object.bad_data_msg
pth = os.path.join(web_object.directory, community.replace("'", ''),
COMPONENT_NAME.replace(' ', '_').lower() + '.html')
with open(pth, 'w') as html:
html.write(
template.render(info=info_for_projects,
type=COMPONENT_NAME,
com=community.replace("'", ''),
charts=charts,
summary_pages=['Summary'] + comp_order,
sections=web_object.get_summary_pages(),
description=DESCRIPTION,
metadata=web_object.metadata,
message=msg))
def generate_web_summary(web_object, community):
"""generate html summary for a community.
generates web_object.directory/community/<component>.html and
associated csv files.
Parameters
----------
web_object: WebSummary
a WebSummary object
community: str
community name
See also
--------
aaem.web :
WebSummary object definition
"""
## get the template
template = web_object.component_html
## get the component (the modeled one)
modeled = web_object.results[community][COMPONENT_NAME]
start_year = modeled.start_year
end_year = modeled.actual_end_year
## for make table functions
projects = {'Modeled ' + COMPONENT_NAME: modeled}
## get forecast stuff (consumption, generation, etc)
fc = modeled.forecast
generation = fc.generation['generation diesel'].\
ix[start_year:end_year]
## get the diesel prices
diesel_price = web_object.results[community]['community data'].\
get_item('community','diesel prices').ix[start_year:end_year]
## get diesel generator efficiency
eff = modeled.cd['diesel generation efficiency']
## get generation fuel costs per year (modeled)
base_cost = generation / eff * diesel_price
base_cost.name = 'Base Cost'
base_cost = DataFrame(base_cost)
base_cost['Base Cost'] = (
modeled.baseline_HF_cost +
modeled.baseline_kWh_cost)[:modeled.actual_project_life]
table1 = wl.make_costs_table(community, COMPONENT_NAME, projects,
base_cost, web_object.directory)
## get generation fuel used (modeled)
base_con = generation / eff
base_con.name = 'Base Consumption'
base_con = DataFrame(base_con)
#~ base_con['Base Consumption'] = modeled.baseline_kWh_consumption
#~ table2 = wl.make_consumption_table(community, COMPONENT_NAME,
#~ projects, base_con,
#~ web_object.directory,
#~ 'proposed_kWh_consumption')
base_con[
'Base Consumption'] = modeled.baseline_fuel_Hoil_consumption[:modeled.
actual_project_life]
table3 = wl.make_consumption_table(community, COMPONENT_NAME, projects,
base_con, web_object.directory,
'savings_HF')
#~ table3[0][-1]
year = modeled.comp_specs['data']['Year']
current = [
{'words':'Households ('+ str(int(year)) + ')' ,
'value': int(modeled.comp_specs['data']['Total Occupied'])},
{'words':'Households with BEES certification' + \
' ('+ str(int(year)) +')',
'value': str(modeled.comp_specs['data']['BEES Number'])},
{'words':
'Households participating in weatherization of home ' + \
'energy rebate programs ('+ str(int(year)) +')',
'value': str(modeled.comp_specs['data']['Post-Retrofit Number'])},
{'words':'Estimated Total Households (' +\
str(int(modeled.start_year)) +')',
'value': modeled.init_HH},
]
## info for modeled
info = create_project_details_list(modeled)
## info table (list to send to template)
info_for_projects = [{
'name': 'Current System',
'info': current
}, {
'name': 'Modeled Efficiency Project',
'info': info
}]
## create list of charts
charts = [
{
'name': 'costs',
'data': str(table1).replace('nan', 'null'),
'title':
'Estimated Heating Fuel + Electricity Costs for residential sector',
'type': "'$'",
'plot': True,
},
#~ {'name':'E_consumption', 'data': str(table2).replace('nan','null'),
#~ 'title':'Electricity Consumed',
#~ 'type': "'other'",'plot': True,},
{
'name': 'H_consumption',
'data': str(table3).replace('nan', 'null'),
'title': 'Heating Oil Consumed by residential sector',
'type': "'other'",
'plot': True,
}
]
## generate html
## generate html
msg = None
if community in web_object.bad_data_coms:
msg = web_object.bad_data_msg
pth = os.path.join(web_object.directory, community.replace("'", ''),
COMPONENT_NAME.replace(' ', '_').lower() + '.html')
with open(pth, 'w') as html:
html.write(
template.render(info=info_for_projects,
type=COMPONENT_NAME,
com=community.replace("'", ''),
charts=charts,
summary_pages=['Summary'] + comp_order,
sections=web_object.get_summary_pages(),
description=DESCRIPTION,
metadata=web_object.metadata,
message=msg))
def generate_web_summary(web_object, community):
"""generate html summary for a community.
generates web_object.directory/community/<component>.html and
associated csv files.
Parameters
----------
web_object: WebSummary
a WebSummary object
community: str
community name
See also
--------
aaem.web :
WebSummary object definition
"""
## get the template
template = web_object.component_html
## get the component (the modeled one)
modeled = web_object.results[community][COMPONENT_NAME]
start_year = modeled.start_year
end_year = modeled.actual_end_year
## for make table functions
projects = {'Modeled ' + COMPONENT_NAME: modeled}
## get forecast stuff (consumption, generation, etc)
fc = modeled.forecast
generation = fc.generation['generation diesel'].\
ix[start_year:end_year]
## get the diesel prices
diesel_price = web_object.results[community]['community data'].\
get_item('community','diesel prices').\
ix[start_year: end_year]#values
diesel_price = diesel_price[diesel_price.columns[0]]
## get diesel generator efficiency
eff = modeled.cd['diesel generation efficiency']
## get generation fuel costs per year (modeled)
base_cost = generation / eff * diesel_price
base_cost.name = 'Base Cost'
base_cost = DataFrame(base_cost)
base_cost['Base Cost'] = (
modeled.baseline_HF_cost +
modeled.baseline_kWh_cost)[:modeled.actual_project_life]
table1 = wl.make_costs_table(community, COMPONENT_NAME, projects,
base_cost, web_object.directory)
## get generation fuel used (modeled)
base_con = generation / eff
base_con.name = 'Base Consumption'
base_con = DataFrame(base_con)
base_con[
'Base Consumption'] = modeled.baseline_kWh_consumption[:modeled.
actual_project_life]
table2 = wl.make_consumption_table(community, COMPONENT_NAME, projects,
base_con, web_object.directory,
'savings_kWh_consumption')
base_con[
'Base Consumption'] = modeled.baseline_fuel_Hoil_consumption[:modeled.
actual_project_life]
table3 = wl.make_consumption_table(community, COMPONENT_NAME, projects,
base_con, web_object.directory,
'savings_fuel_Hoil_consumption')
table3[0][-1]
current = [
{'words':'System type',
"value":str(modeled.comp_specs['data']['System Type'])},
{'words':'Current system heating fuels',
"value": 'Modeled' \
if np.isnan(float(modeled.comp_specs['data']['HF Used']))\
else 'Reported'},
{'words':'Current system electricity reported',
"value": 'Modeled' \
if np.isnan(float(modeled.comp_specs['data']['kWh/yr']))\
else 'Reported'},
{'words':'Uses biomass',
"value":'Yes' if modeled.comp_specs['data']['Biomass'] else 'No'},
{'words':'Uses recovered heat',
"value":'Yes' if modeled.comp_specs['data']['HR Installed'] else 'No'},
]
## info for modeled
info = create_project_details_list(modeled)
## info table (list to send to template)
info_for_projects = [{
'name': 'Current System',
'info': current
}, {
'name': 'Modeled Efficiency Project',
'info': info
}]
## create list of charts
charts = [{
'name': 'costs',
'data': str(table1).replace('nan', 'null'),
'title':
'Estimated Heating Fuel + Electricity Costs for water/wastewater sector',
'type': "'$'",
'plot': True,
}, {
'name': 'E_consumption',
'data': str(table2).replace('nan', 'null'),
'title': 'Electricity Consumed by water/wastewater sector',
'type': "'kWh'",
'plot': True,
}, {
'name': 'H_consumption',
'data': str(table3).replace('nan', 'null'),
'title': 'Heating Oil Consumed by water/wastewater sector',
'type': "'other'",
'plot': True,
}]
## generate html
## generate html
msg = None
if community in web_object.bad_data_coms:
msg = web_object.bad_data_msg
pth = os.path.join(web_object.directory, community.replace("'", ''),
COMPONENT_NAME.replace(' ', '_').lower() + '.html')
with open(pth, 'w') as html:
html.write(
template.render(info=info_for_projects,
type=COMPONENT_NAME,
com=community.replace("'", ''),
charts=charts,
summary_pages=['Summary'] + comp_order,
sections=web_object.get_summary_pages(),
description=DESCRIPTION,
metadata=web_object.metadata,
message=msg))
def generate_web_summary(web_object, community):
"""generate html summary for a community.
generates web_object.directory/community/<component>.html and
associated csv files.
Parameters
----------
web_object: WebSummary
a WebSummary object
community: str
community name
See also
--------
aaem.web :
WebSummary object definition
"""
## get the template
template = web_object.component_html
## get the component (the modeled one)
modeled = web_object.results[community][COMPONENT_NAME]
start_year = modeled.start_year
end_year = modeled.actual_end_year
## for make table functions
projects = {'Modeled ' + COMPONENT_NAME: modeled}
## get forecast stuff (consumption, generation, etc)
fc = modeled.forecast
generation = fc.generation['generation diesel'].\
ix[start_year:end_year]
## get the diesel prices
diesel_price = web_object.results[community]['community data'].\
get_item('community','diesel prices').\
ix[start_year: end_year]#values
diesel_price = diesel_price[diesel_price.columns[0]]
## get diesel generator efficiency
eff = modeled.cd['diesel generation efficiency']
## get generation fuel costs per year (modeled)
base_cost = generation / eff * diesel_price
base_cost.name = 'Base Cost'
base_cost = DataFrame(base_cost)
base_cost['Base Cost'] = (
modeled.baseline_HF_cost +
modeled.baseline_kWh_cost)[:modeled.actual_project_life]
table1 = wl.make_costs_table(community, COMPONENT_NAME, projects,
base_cost, web_object.directory)
## get generation fuel used (modeled)
base_con = generation / eff
base_con.name = 'Base Consumption'
base_con = DataFrame(base_con)
base_con['Base Consumption'] = modeled.baseline_kWh_consumption
table2 = wl.make_consumption_table(
community, COMPONENT_NAME, projects, base_con, web_object.directory,
'baseline_kWh_consumption -\
project.proposed_kWh_consumption')
base_con['Base Consumption'] = modeled.baseline_fuel_Hoil_consumption
table3 = wl.make_consumption_table(
community, COMPONENT_NAME, projects, base_con, web_object.directory,
'baseline_fuel_Hoil_consumption -\
project.proposed_fuel_Hoil_consumption')
table3[0][-1]
buildings = modeled.comp_specs['building inventory']
sqft = buildings['Square Feet'].sum()
current = [
{'words':"Estimated square feet", 'value':'{:,.0f}'.format(sqft)},
{'words':"See",
'value':"<a href='./consumption.html'>consumption </a> "+\
"for more details of the current non-residential buildings"},
]
## info for modeled
info = create_project_details_list(modeled)
## info table (list to send to template)
info_for_projects = [{
'name': 'Current System',
'info': current
}, {
'name': 'Modeled Efficiency Project',
'info': info
}]
## create list of charts
charts = [{
'name': 'costs',
'data': str(table1).replace('nan', 'null'),
'title':
'Estimated Heating Fuel + Electricity Costs for non-residential sector',
'type': "'$'",
'plot': True,
}, {
'name': 'E_consumption',
'data': str(table2).replace('nan', 'null'),
'title': 'Electricity Consumed by non-residential sector',
'type': "'other'",
'plot': True,
}, {
'name': 'H_consumption',
'data': str(table3).replace('nan', 'null'),
'title': 'Heating Oil Consumed by non-residential sector',
'type': "'other'",
'plot': True,
}]
## generate html
## generate html
msg = None
if community in web_object.bad_data_coms:
msg = web_object.bad_data_msg
pth = os.path.join(web_object.directory, community.replace("'", ''),
COMPONENT_NAME.replace(' ', '_').lower() + '.html')
with open(pth, 'w') as html:
html.write(
template.render(info=info_for_projects,
type=COMPONENT_NAME,
com=community.replace("'", ''),
charts=charts,
summary_pages=['Summary'] + comp_order,
sections=web_object.get_summary_pages(),
description=DESCRIPTION,
metadata=web_object.metadata,
message=msg))
