def process_locations(model_config, modelrun_techs):
"""
Process locations by taking an AttrDict that may include compact keys
such as ``1,2,3``, and returning an AttrDict with:
* exactly one key per location with all of its settings
* fully resolved installed technologies for each location
* fully expanded transmission links for each location
Parameters
----------
model_config : AttrDict
modelrun_techs : AttrDict
Returns
-------
locations : AttrDict
locations_comments : AttrDict
"""
techs_in = model_config.techs.copy()
tech_groups_in = model_config.tech_groups
locations_in = model_config.locations
links_in = model_config.get("links", AttrDict())
allowed_from_file = DEFAULTS.model.file_allowed
warnings = []
errors = []
locations_comments = AttrDict()
##
# Expand compressed `loc1,loc2,loc3,loc4: ...` definitions
##
locations = AttrDict()
for key in locations_in:
if ("--" in key) or ("," in key):
key_locs = explode_locations(key)
for subkey in key_locs:
_set_loc_key(locations, subkey, locations_in[key])
else:
_set_loc_key(locations, key, locations_in[key])
##
# Kill any locations that the modeller does not want to exist
##
for loc in list(locations.keys()):
if not locations[loc].get("exists", True):
locations.del_key(loc)
##
# Process technologies
##
techs_to_delete = []
for tech_name in techs_in:
if not techs_in[tech_name].get("exists", True):
techs_to_delete.append(tech_name)
continue
# Get inheritance chain generated in process_techs()
inheritance_chain = modelrun_techs[tech_name].inheritance
# Get and save list of required_constraints from base technology
base_tech = inheritance_chain[-1]
rq = model_config.tech_groups[base_tech].required_constraints
# locations[loc_name].techs[tech_name].required_constraints = rq
techs_in[tech_name].required_constraints = rq
# Kill any techs that the modeller does not want to exist
for tech_name in techs_to_delete:
del techs_in[tech_name]
##
# Fully expand all installed technologies for the location,
# filling in any undefined parameters from defaults
##
location_techs_to_delete = []
for loc_name, loc in locations.items():
if "techs" not in loc:
# Mark this as a transmission-only node if it has not allowed
# any technologies
locations[loc_name].transmission_node = True
locations_comments.set_key(
"{}.transmission_node".format(loc_name),
"Automatically inserted: specifies that this node is "
"a transmission-only node.",
)
continue # No need to process any technologies at this node
for tech_name in loc.techs:
if tech_name in techs_to_delete:
# Techs that were removed need not be further considered
continue
if not isinstance(locations[loc_name].techs[tech_name], dict):
locations[loc_name].techs[tech_name] = AttrDict()
# Starting at top of the inheritance chain, for each level,
# check if the level has location-specific group settings
# and keep merging together the settings, overwriting as we
# go along.
tech_settings = AttrDict()
for parent in reversed(modelrun_techs[tech_name].inheritance):
# Does the parent group have model-wide settings?
tech_settings.union(tech_groups_in[parent],
allow_override=True)
# Does the parent group have location-specific settings?
if ("tech_groups" in locations[loc_name]
and parent in locations[loc_name].tech_groups):
tech_settings.union(
locations[loc_name].tech_groups[parent],
allow_override=True)
# Now overwrite with the tech's own model-wide
# and location-specific settings
tech_settings.union(techs_in[tech_name], allow_override=True)
if tech_name in locations[loc_name].techs:
tech_settings.union(locations[loc_name].techs[tech_name],
allow_override=True)
tech_settings = cleanup_undesired_keys(tech_settings)
# Resolve columns in filename if necessary
file_or_df_configs = [
i for i in tech_settings.keys_nested()
if (isinstance(tech_settings.get_key(i), str) and (
"file=" in tech_settings.get_key(i)
or "df=" in tech_settings.get_key(i)))
]
for config_key in file_or_df_configs:
config_value = tech_settings.get_key(config_key, "")
if ":" not in config_value:
config_value = "{}:{}".format(config_value, loc_name)
tech_settings.set_key(config_key, config_value)
tech_settings = check_costs_and_compute_depreciation_rates(
tech_name, loc_name, tech_settings, warnings, errors)
# Now merge the tech settings into the location-specific
# tech dict -- but if a tech specifies ``exists: false``,
# we kill it at this location
if not tech_settings.get("exists", True):
location_techs_to_delete.append("{}.techs.{}".format(
loc_name, tech_name))
else:
locations[loc_name].techs[tech_name].union(tech_settings,
allow_override=True)
for k in location_techs_to_delete:
locations.del_key(k)
# Generate all transmission links
processed_links = AttrDict()
for link in links_in:
loc_from, loc_to = [i.strip() for i in link.split(",")]
# Skip this link entirely if it has been told not to exist
if not links_in[link].get("exists", True):
continue
# Also skip this link - and warn about it - if it links to a
# now-inexistant (because removed) location
if loc_from not in locations.keys() or loc_to not in locations.keys():
warnings.append(
"Not building the link {},{} because one or both of its "
"locations have been removed from the model by setting "
"``exists: false``".format(loc_from, loc_to))
continue
processed_transmission_techs = AttrDict()
for tech_name in links_in[link].techs:
# Skip techs that have been told not to exist
# for this particular link
if not links_in[link].get_key("techs.{}.exists".format(tech_name),
True):
continue
if tech_name not in processed_transmission_techs:
tech_settings = AttrDict()
# Combine model-wide settings from all parent groups
for parent in reversed(modelrun_techs[tech_name].inheritance):
tech_settings.union(tech_groups_in[parent],
allow_override=True)
# Now overwrite with the tech's own model-wide settings
tech_settings.union(techs_in[tech_name], allow_override=True)
# Add link-specific constraint overrides
if links_in[link].techs[tech_name]:
tech_settings.union(links_in[link].techs[tech_name],
allow_override=True)
tech_settings = cleanup_undesired_keys(tech_settings)
tech_settings = process_per_distance_constraints(
tech_name,
tech_settings,
locations,
locations_comments,
loc_from,
loc_to,
)
tech_settings = check_costs_and_compute_depreciation_rates(
tech_name, link, tech_settings, warnings, errors)
processed_transmission_techs[tech_name] = tech_settings
else:
tech_settings = processed_transmission_techs[tech_name]
processed_links.set_key(
"{}.links.{}.techs.{}".format(loc_from, loc_to, tech_name),
tech_settings.copy(),
)
processed_links.set_key(
"{}.links.{}.techs.{}".format(loc_to, loc_from, tech_name),
tech_settings.copy(),
)
# If this is a one-way link, we set the constraints for energy_prod
# and energy_con accordingly on both parts of the link
if tech_settings.get_key("constraints.one_way", False):
processed_links.set_key(
"{}.links.{}.techs.{}.constraints.energy_prod".format(
loc_from, loc_to, tech_name),
False,
)
processed_links.set_key(
"{}.links.{}.techs.{}.constraints.energy_con".format(
loc_to, loc_from, tech_name),
False,
)
locations.union(processed_links, allow_override=True)
return locations, locations_comments, list(set(warnings)), list(
set(errors))
def convert_model_dict(in_dict, conversion_dict, state, tech_groups=None):
out_dict = AttrDict()
# process techs
if 'techs' in in_dict:
for k, v in in_dict.techs.items():
# Remove now unsupported `unmet_demand` techs
if (v.get('parent',
'') in ['unmet_demand', 'unmet_demand_as_supply_tech']
or 'unmet_demand_' in k):
out_dict.set_key('__disabled.techs.{}'.format(k), v)
# We will want to enable ``ensure_feasibility`` to replace
# ``unmet_demand``
state['ensure_feasibility'] = True
continue
new_tech_config = convert_subdict(v,
conversion_dict['tech_config'])
if 'constraints_per_distance' in v:
# Convert loss to efficiency
if 'e_loss' in v.constraints_per_distance:
v.constraints_per_distance.e_loss = 1 - v.constraints_per_distance.e_loss
new_tech_config.update(
convert_subdict(
v.constraints_per_distance,
conversion_dict['tech_constraints_per_distance_config']
))
# Costs are a little more involved -- need to get each cost class
# as a subdict and merge the results back together
new_cost_dict = AttrDict()
if 'costs' in v:
for cost_class in v.costs:
new_cost_dict[cost_class] = convert_subdict(
v.costs[cost_class],
conversion_dict['tech_costs_config'])
if 'costs_per_distance' in v:
for cost_class in v.costs_per_distance:
# FIXME update not overwrite
per_distance_config = convert_subdict(
v.costs_per_distance[cost_class],
conversion_dict['tech_costs_per_distance_config'])
if cost_class in new_cost_dict:
new_cost_dict[cost_class].union(per_distance_config)
else:
new_cost_dict[cost_class] = per_distance_config
if 'depreciation' in v:
# 'depreciation.interest.{cost_class}' goes to 'costs.{cost_class}.interest_rate'
if 'interest' in v.depreciation:
for cost_class, interest in v.depreciation.interest.items(
):
new_cost_dict.set_key(
'{}.interest_rate'.format(cost_class), interest)
# 'depreciation.lifetime' goes to 'constraints.lifetime'
if 'lifetime' in v.depreciation:
new_tech_config.set_key('constraints.lifetime',
v.depreciation.lifetime)
if new_cost_dict:
new_tech_config['costs'] = new_cost_dict
# After conversion, remove legacy _per_distance top-level entries
try:
del new_tech_config['constraints_per_distance']
del new_tech_config['costs_per_distance']
except KeyError:
pass
# Assign converted techs to either tech_groups or techs
if tech_groups and k in tech_groups:
out_key = 'tech_groups.{}'.format(k)
else:
out_key = 'techs.{}'.format(k)
out_dict.set_key(out_key, new_tech_config)
del in_dict['techs']
# process locations
if 'locations' in in_dict:
new_locations_dict = AttrDict()
for k, v in in_dict.locations.items():
new_locations_dict[k] = convert_subdict(
v, conversion_dict['location_config'])
# convert per-location constraints now in [locname].techs[techname].constraints
for k, v in new_locations_dict.items():
if 'techs' in v:
for tech, tech_dict in v.techs.items():
new_locations_dict[k].techs[tech] = convert_subdict(
tech_dict, conversion_dict['tech_config'])
# Add techs that do not specify any overrides as keys
missing_techs = set(v.get_key('__disabled.techs', [])) - set(
v.get('techs', {}).keys())
for tech in missing_techs:
new_locations_dict[k].set_key('techs.{}'.format(tech), None)
# Remove now unsupported `unmet_demand` techs
for k, v in new_locations_dict.items():
for tech in list(v.techs.keys()):
parent = v.get_key('techs.{}.parent'.format(tech), '')
if (parent in ['unmet_demand', 'unmet_demand_as_supply_tech']
or 'unmet_demand_' in tech):
new_locations_dict[k].del_key('techs.{}'.format(tech))
if '__disabled.techs' in new_locations_dict[k]:
new_locations_dict[k].get_key(
'__disabled.techs').append(tech)
else:
new_locations_dict[k].set_key('__disabled.techs',
[tech])
out_dict['locations'] = new_locations_dict
del in_dict['locations']
# process links
if 'links' in in_dict:
new_links_dict = AttrDict()
for k, v in in_dict.links.items():
for tech, tech_dict in v.items():
new_links_dict.set_key(
'{}.techs.{}'.format(k, tech),
convert_subdict(tech_dict, conversion_dict['tech_config']))
out_dict['links'] = new_links_dict
del in_dict['links']
# process metadata
if 'metadata' in in_dict:
# manually transfer location coordinates
if 'location_coordinates' in in_dict.metadata:
for k, v in in_dict.metadata.location_coordinates.items():
if isinstance(v, list): # Assume it was lat/lon
new_coords = AttrDict({'lat': v[0], 'lon': v[1]})
else:
new_coords = v
in_dict.set_key('locations.{}.coordinates'.format(k),
new_coords)
del in_dict['metadata']
# Fix up any 'resource' keys that refer to 'file' only
for k in [i for i in out_dict.keys_nested() if i.endswith('.resource')]:
if out_dict.get_key(k) == 'file':
tech = k.split('techs.')[-1].split('.')[0]
out_dict.set_key(k, 'file={}_r.csv'.format(tech))
# process remaining top-level entries
out_dict.union(convert_subdict(in_dict, conversion_dict['model_config']))
return out_dict
def convert_model(run_config_path,
model_config_path,
out_path,
override_run_config_paths=None):
"""
Convert a model specified by a model YAML file
Parameters
----------
run_config_path: str
is merged with the model configuration and saved into the
main model configuration file given by ``model_config``
model_config_path: str
model configuration file
out_path: str
path into which to save ``model_config`` and all other YAML
files imported by it -- recreates original directory structure
at that location, so recommendation is to specify an empty
subdirectory or a new directory (will be created)
override_run_config_paths: list of strs, optional
any additional run configuration files given are converted
into override groups in a single overrides.yaml in the out_path
Returns
-------
None
"""
converted_run_config = AttrDict()
run_config = load_with_import_resolution(run_config_path)
for k, v in run_config.items():
# We consider any files imported in run configuration, but
# disregard file names and simply merge everything together
# into the new model configuration
converted_run_config.update(convert_run_dict(v, _CONVERSIONS))
new_model_config = AttrDict()
model_config = load_with_import_resolution(model_config_path)
for k, v in model_config.items():
new_model_config[k] = convert_model_dict(v, _CONVERSIONS)
# Merge run_config into main model config file
new_model_config[model_config_path].union(converted_run_config)
# README: For future use we probably want a configuration to specify
# a calliope version it's compatible with / built for
new_model_config[model_config_path]['calliope_version'] = '0.6.0'
# README: adding top-level interest_rate and lifetime definitions
# for all techs, to mirror the fact that there used to be defaults
defaults_v05 = AttrDict()
tech_groups = [
'supply', 'supply_plus', 'demand', 'transmission', 'conversion',
'conversion_plus'
]
cost_classes = [ # Get a list of all cost classes in model
k.split('costs.', 1)[-1].split('.', 1)[0]
for k in new_model_config.keys_nested() if 'costs.' in k
]
for t in tech_groups:
defaults_v05.set_key('tech_groups.{}.constraints.lifetime'.format(t),
25)
for cc in cost_classes:
interest = 0.1 if cc == 'monetary' else 0
defaults_v05.set_key(
'tech_groups.{}.costs.{}.interest_rate'.format(t, cc),
interest)
new_model_config[model_config_path].union(defaults_v05)
# For each file in new_model_config, save it to its same
# position from the old path in the `out_path`
for f in new_model_config:
out_dir, out_filename = os.path.split(
f.replace(os.path.commonpath([model_config_path, f]), '.'))
if f == model_config_path:
out_filename = os.path.basename(model_config_path)
out_file = os.path.join(out_path, out_dir, out_filename)
os.makedirs(os.path.join(out_path, out_dir), exist_ok=True)
new_model_config[f].to_yaml(out_file)
# Read each CSV file in the model data dir and apply index
ts_dir = new_model_config[model_config_path].get_key(
'model.timeseries_data_path')
ts_path_in = os.path.join(os.path.dirname(model_config_path), ts_dir)
ts_path_out = os.path.join(os.path.join(out_path, ts_dir))
os.makedirs(ts_path_out, exist_ok=True)
index_t = pd.read_csv(os.path.join(ts_path_in, 'set_t.csv'),
index_col=0,
header=None)[1]
for f in glob.glob(os.path.join(ts_path_in, '*.csv')):
if 'set_t.csv' not in f:
df = pd.read_csv(f, index_col=0)
df.index = index_t
df.index.name = None
df.to_csv(os.path.join(ts_path_out, os.path.basename(f)))
def convert_model(run_config_path, model_config_path, out_path):
"""
Convert a model specified by a model YAML file
Parameters
----------
run_config_path: str
is merged with the model configuration and saved into the
main model configuration file given by ``model_config``
model_config_path: str
model configuration file
out_path: str
path into which to save ``model_config`` and all other YAML
files imported by it -- recreates original directory structure
at that location, so recommendation is to specify an empty
subdirectory or a new directory (will be created)
Returns
-------
None
"""
state = {'ensure_feasibility': False}
converted_run_config = AttrDict()
run_config = load_with_import_resolution(run_config_path)
for k, v in run_config.items():
# We consider any files imported in run configuration, but
# disregard file names and simply merge everything together
# into the new model configuration
converted_run_config.update(convert_run_dict(v, _CONVERSIONS))
new_model_config = AttrDict()
model_config = load_with_import_resolution(model_config_path)
# Get all techs from old model that need to be tech_groups in the new one
merged_model_config = AttrDict.from_yaml(model_config_path)
run_config_overrides = AttrDict.from_yaml(run_config_path).get_key(
'override', None)
if run_config_overrides:
merged_model_config.union(run_config_overrides, allow_override=True)
tech_groups = set()
for tech, tech_dict in merged_model_config.techs.items():
parent = tech_dict.get('parent', None)
if parent and parent not in _TECH_GROUPS:
tech_groups.add(parent)
for k, v in model_config.items():
new_model_config[k] = convert_model_dict(v,
_CONVERSIONS,
tech_groups=tech_groups,
state=state)
# Merge run_config into main model config file
new_model_config[model_config_path].union(converted_run_config)
# README: For future use we probably want a configuration to specify
# a calliope version it's compatible with / built for
new_model_config[model_config_path].set_key('model.calliope_version',
'0.6.0')
# Set ensure_feasibility if the old model used unmet_demand
if state['ensure_feasibility']:
new_model_config[model_config_path].set_key('run.ensure_feasibility',
True)
logger.info(
'Found no longer supported `unmet_demand` techs, setting `run.ensure_feasibility` \n'
'to True to replace them. See the docs for more info:\n'
'https://calliope.readthedocs.io/en/stable/user/building.html#allowing-for-unmet-demand'
)
# README: adding top-level interest_rate and lifetime definitions
# for all techs EXCEPT demand,
# to mirror the fact that there used to be defaults
defaults_v05 = AttrDict()
cost_classes = [ # Get a list of all cost classes in model
k.split('costs.', 1)[-1].split('.', 1)[0]
for k in new_model_config.keys_nested() if 'costs.' in k
]
for t in [i for i in _TECH_GROUPS if i != 'demand']:
defaults_v05.set_key('tech_groups.{}.constraints.lifetime'.format(t),
25)
for cc in cost_classes:
interest = 0.1 if cc == 'monetary' else 0
defaults_v05.set_key(
'tech_groups.{}.costs.{}.interest_rate'.format(t, cc),
interest)
new_model_config[model_config_path].union(defaults_v05)
# For each file in new_model_config, save it to its same
# position from the old path in the `out_path`
for f in new_model_config:
out_dir, out_filename = os.path.split(
f.replace(os.path.commonpath([model_config_path, f]), '.'))
if f == model_config_path:
out_dir_model_config_path = out_dir
out_filename = os.path.basename(model_config_path)
out_file = os.path.join(out_path, out_dir, out_filename)
os.makedirs(os.path.join(out_path, out_dir), exist_ok=True)
new_model_config[f].to_yaml(out_file)
# Read each CSV file in the model data dir and apply index
full_new_config = AttrDict.from_yaml(
os.path.join(out_path, out_dir_model_config_path,
os.path.basename(model_config_path)))
ts_dir = full_new_config.get_key('model.timeseries_data_path')
ts_path_in = os.path.join(os.path.dirname(model_config_path), ts_dir)
ts_path_out = os.path.join(os.path.join(out_path, ts_dir))
os.makedirs(ts_path_out, exist_ok=True)
index_t = pd.read_csv(os.path.join(ts_path_in, 'set_t.csv'),
index_col=0,
header=None)[1]
for f in glob.glob(os.path.join(ts_path_in, '*.csv')):
if 'set_t.csv' not in f:
df = pd.read_csv(f, index_col=0)
df.index = index_t
df.index.name = None
df.to_csv(os.path.join(ts_path_out, os.path.basename(f)))
def process_locations(model_config, modelrun_techs):
"""
Process locations by taking an AttrDict that may include compact keys
such as ``1,2,3``, and returning an AttrDict with:
* exactly one key per location with all of its settings
* fully resolved installed technologies for each location
* fully expanded transmission links for each location
Parameters
----------
model_config : AttrDict
modelrun_techs : AttrDict
Returns
-------
locations : AttrDict
locations_comments : AttrDict
"""
techs_in = model_config.techs.copy()
tech_groups_in = model_config.tech_groups
locations_in = model_config.locations
links_in = model_config.get('links', AttrDict())
allowed_from_file = defaults['file_allowed']
warnings = []
errors = []
locations_comments = AttrDict()
##
# Expand compressed `loc1,loc2,loc3,loc4: ...` definitions
##
locations = AttrDict()
for key in locations_in:
if ('--' in key) or (',' in key):
key_locs = explode_locations(key)
for subkey in key_locs:
_set_loc_key(locations, subkey, locations_in[key])
else:
_set_loc_key(locations, key, locations_in[key])
##
# Kill any locations that the modeller does not want to exist
##
for loc in list(locations.keys()):
if not locations[loc].get('exists', True):
locations.del_key(loc)
##
# Process technologies
##
techs_to_delete = []
for tech_name in techs_in:
if not techs_in[tech_name].get('exists', True):
techs_to_delete.append(tech_name)
continue
# Get inheritance chain generated in process_techs()
inheritance_chain = modelrun_techs[tech_name].inheritance
# Get and save list of required_constraints from base technology
base_tech = inheritance_chain[-1]
rq = model_config.tech_groups[base_tech].required_constraints
# locations[loc_name].techs[tech_name].required_constraints = rq
techs_in[tech_name].required_constraints = rq
# Kill any techs that the modeller does not want to exist
for tech_name in techs_to_delete:
del techs_in[tech_name]
##
# Fully expand all installed technologies for the location,
# filling in any undefined parameters from defaults
##
location_techs_to_delete = []
for loc_name, loc in locations.items():
if 'techs' not in loc:
# Mark this as a transmission-only node if it has not allowed
# any technologies
locations[loc_name].transmission_node = True
locations_comments.set_key(
'{}.transmission_node'.format(loc_name),
'Automatically inserted: specifies that this node is '
'a transmission-only node.'
)
continue # No need to process any technologies at this node
for tech_name in loc.techs:
if tech_name in techs_to_delete:
# Techs that were removed need not be further considered
continue
if not isinstance(locations[loc_name].techs[tech_name], dict):
locations[loc_name].techs[tech_name] = AttrDict()
# Starting at top of the inheritance chain, for each level,
# check if the level has location-specific group settings
# and keep merging together the settings, overwriting as we
# go along.
tech_settings = AttrDict()
for parent in reversed(modelrun_techs[tech_name].inheritance):
# Does the parent group have model-wide settings?
tech_settings.union(tech_groups_in[parent], allow_override=True)
# Does the parent group have location-specific settings?
if ('tech_groups' in locations[loc_name] and
parent in locations[loc_name].tech_groups):
tech_settings.union(
locations[loc_name].tech_groups[parent],
allow_override=True)
# Now overwrite with the tech's own model-wide
# and location-specific settings
tech_settings.union(techs_in[tech_name], allow_override=True)
if tech_name in locations[loc_name].techs:
tech_settings.union(
locations[loc_name].techs[tech_name],
allow_override=True)
tech_settings = cleanup_undesired_keys(tech_settings)
# Resolve columns in filename if necessary
file_configs = [
i for i in tech_settings.keys_nested()
if (isinstance(tech_settings.get_key(i), str) and
'file=' in tech_settings.get_key(i))
]
for config_key in file_configs:
if config_key.split('.')[-1] not in allowed_from_file:
# Allow any custom settings that end with _time_varying
# FIXME: add this to docs
if config_key.endswith('_time_varying'):
warn('Using custom constraint '
'{} with time-varying data.'.format(config_key))
else:
raise ModelError('`file=` not allowed in {}'.format(config_key))
config_value = tech_settings.get_key(config_key, '')
if ':' not in config_value:
config_value = '{}:{}'.format(config_value, loc_name)
tech_settings.set_key(config_key, config_value)
tech_settings = compute_depreciation_rates(tech_name, tech_settings, warnings, errors)
# Now merge the tech settings into the location-specific
# tech dict -- but if a tech specifies ``exists: false``,
# we kill it at this location
if not tech_settings.get('exists', True):
location_techs_to_delete.append('{}.techs.{}'.format(loc_name, tech_name))
else:
locations[loc_name].techs[tech_name].union(
tech_settings, allow_override=True
)
for k in location_techs_to_delete:
locations.del_key(k)
# Generate all transmission links
processed_links = AttrDict()
for link in links_in:
loc_from, loc_to = link.split(',')
# Skip this link entirely if it has been told not to exist
if not links_in[link].get('exists', True):
continue
# Also skip this link - and warn about it - if it links to a
# now-inexistant (because removed) location
if (loc_from not in locations.keys() or loc_to not in locations.keys()):
warnings.append(
'Not building the link {},{} because one or both of its '
'locations have been removed from the model by setting '
'``exists: false``'.format(loc_from, loc_to)
)
continue
processed_transmission_techs = AttrDict()
for tech_name in links_in[link].techs:
# Skip techs that have been told not to exist
# for this particular link
if not links_in[link].get_key('techs.{}.exists'.format(tech_name), True):
continue
if tech_name not in processed_transmission_techs:
tech_settings = AttrDict()
# Combine model-wide settings from all parent groups
for parent in reversed(modelrun_techs[tech_name].inheritance):
tech_settings.union(
tech_groups_in[parent],
allow_override=True
)
# Now overwrite with the tech's own model-wide settings
tech_settings.union(
techs_in[tech_name],
allow_override=True
)
# Add link-specific constraint overrides
if links_in[link].techs[tech_name]:
tech_settings.union(
links_in[link].techs[tech_name],
allow_override=True
)
tech_settings = cleanup_undesired_keys(tech_settings)
tech_settings = process_per_distance_constraints(tech_name, tech_settings, locations, locations_comments, loc_from, loc_to)
tech_settings = compute_depreciation_rates(tech_name, tech_settings, warnings, errors)
processed_transmission_techs[tech_name] = tech_settings
else:
tech_settings = processed_transmission_techs[tech_name]
processed_links.set_key(
'{}.links.{}.techs.{}'.format(loc_from, loc_to, tech_name),
tech_settings.copy()
)
processed_links.set_key(
'{}.links.{}.techs.{}'.format(loc_to, loc_from, tech_name),
tech_settings.copy()
)
# If this is a one-way link, we set the constraints for energy_prod
# and energy_con accordingly on both parts of the link
if tech_settings.get_key('constraints.one_way', False):
processed_links.set_key(
'{}.links.{}.techs.{}.constraints.energy_prod'.format(loc_from, loc_to, tech_name),
False)
processed_links.set_key(
'{}.links.{}.techs.{}.constraints.energy_con'.format(loc_to, loc_from, tech_name),
False)
locations.union(processed_links, allow_override=True)
return locations, locations_comments, list(set(warnings)), list(set(errors))
