legacy flows (15dfa2f1) · Commits · HydroCHiPPs / Powersheds

examples/dev/reservoirs/reservoir_config.yaml→examples/Cumberland/cascade_config.yaml

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		@@ -12,7 +12,7 @@ library(readr)
		library(ggplot2)
		library(patchwork)
		library(purrr)
		setwd("examples/dev/")
		setwd("examples/Cumberland/")
		use_condaenv("powersheds")
		```

		@@ -44,6 +44,7 @@ class RiverData:
		simulation_order: int
		downstream_object: str
		lag: int
		legacy_flows: list[float]

		@dataclass
		class CascadeData:
		@@ -61,7 +62,7 @@ simulation_orders = {
		}

		# Read the reservoir configuration
		with open('reservoirs/reservoir_config.yaml', 'r') as file:
		with open('cascade_config.yaml', 'r') as file:
		config_dict = yaml.safe_load(file)

		# Initialize dictionaries for reservoirs and rivers
		@@ -73,11 +74,14 @@ for name, specs in config_dict.items():
		if specs['object_type'] == 'reservoir':
		reservoir_dict[name] = ReservoirData(
		**specs,
		catchment_inflow=pd.read_csv(f"reservoirs/{name}.csv")['catchment_inflow'].tolist(),
		target_release=pd.read_csv(f"reservoirs/{name}.csv")['target_release'].tolist()
		catchment_inflow=pd.read_csv(f"time_series/{name}.csv")['catchment_inflow'].tolist(),
		target_release=pd.read_csv(f"time_series/{name}.csv")['target_release'].tolist()
		)
		elif specs['object_type'] == 'river':
		river_dict[name] = RiverData(**specs)
		river_dict[name] = RiverData(
		**specs,
		legacy_flows=pd.read_csv(f"time_series/{name}.csv")['legacy_flow'].tolist()
		)

		cascade_data = CascadeData(
		reservoirs=reservoir_dict,

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