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Merge pull request #223 from dylanjm/resourcegraph
Resourcegraph
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# Copyright 2020, Battelle Energy Alliance, LLC | ||
# ALL RIGHTS RESERVED | ||
""" | ||
This module defines logic to create a resource utilization network | ||
graph for HERON Simulations. | ||
""" | ||
import networkx as nx | ||
import matplotlib as mpl | ||
mpl.use('Agg') # Prevents the module from blocking while plotting | ||
import matplotlib.pyplot as plt | ||
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class NetworkPlot: | ||
""" | ||
Represents a network graph visualization of the resources found | ||
in a HERON system. | ||
""" | ||
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def __init__(self, components: list) -> None: | ||
""" | ||
Initialize the network plot. | ||
@ In, components, list, the components defined by the input file. | ||
@ Out, None | ||
""" | ||
self._components = components | ||
self._resources = set() | ||
self._producers_and_consumers = set() | ||
self._capacities = {} | ||
self._edges = [] | ||
self._graph = nx.DiGraph() | ||
self._find_nodes_and_edges() | ||
self._plot_graph() | ||
self._build_table() | ||
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def _find_nodes_and_edges(self) -> None: | ||
""" | ||
Iterate over the components to determine nodes and their | ||
associated directional edges. | ||
@ In, None | ||
@ Out, None | ||
""" | ||
for c in self._components: | ||
self._producers_and_consumers.add(c.name) | ||
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rsc_in = c.get_inputs() | ||
for ri in rsc_in: | ||
self._resources.add(ri) | ||
self._graph.add_edge(ri, c.name) | ||
self._edges.append((ri, c.name)) | ||
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rsc_out = c.get_outputs() | ||
for ro in rsc_out: | ||
self._resources.add(ro) | ||
self._graph.add_edge(c.name, ro) | ||
self._edges.append((c.name, ro)) | ||
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def _build_table(self) -> None: | ||
""" | ||
Table should have two major sections: economic info and optimization parameters | ||
Economic info: | ||
- Cash flows (just the names?) | ||
- Lifetime? | ||
Optimization settings: | ||
- dispatch (fixed, independent, dependent) | ||
- optimized, swept, or fixed? | ||
- capacity (optimization bounds, sweep values, or fixed value) | ||
@ In, None | ||
@ Out, None | ||
""" | ||
col_labels = ['Dispatchable?', 'Governed?'] | ||
cell_text = [] | ||
row_labels = [] | ||
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for c in self._components: | ||
row_labels.append(c.name) | ||
cell_text.append([c.is_dispatchable(), c.is_governed()]) | ||
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plt.table(cell_text, rowLabels=row_labels, colLabels=col_labels, loc='bottom') | ||
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def _plot_graph(self) -> None: | ||
""" | ||
Plots and formats the graph | ||
@ In, None | ||
@ Out, None | ||
""" | ||
tech_options = { # TODO make this something that can be done dynamically | ||
"node_size": 1000, | ||
"node_color": "#FCEDDA", | ||
"edgecolors": "#FCEDDA", | ||
"linewidths": 1 | ||
} | ||
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resrc_options = { | ||
"node_size": 1500, | ||
"node_color": "#EE4E34", | ||
"edgecolors": "#EE4E34", | ||
"linewidths": 1 | ||
} | ||
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label_options = { | ||
"font_size": 8, | ||
"font_weight": "normal", | ||
"font_color": "black", | ||
} | ||
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edge_options = { | ||
'edge_color': 'black', | ||
"width": 1, | ||
'arrows': True, | ||
'arrowsize': 20 | ||
} | ||
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fig, ax = plt.subplots(figsize=(7,7)) | ||
pos = nx.spring_layout(self._graph) | ||
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nx.draw_networkx_nodes(self._graph, pos, nodelist=list(self._resources), **resrc_options) | ||
nx.draw_networkx_nodes(self._graph, pos, nodelist=list(self._producers_and_consumers), **tech_options) | ||
nx.draw_networkx_labels(self._graph, pos, **label_options) | ||
nx.draw_networkx_edges(self._graph, pos, node_size=1500, **edge_options) | ||
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ax.axis('off') | ||
fig.set_facecolor('darkgrey') | ||
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def save(self, filename: str) -> None: | ||
""" | ||
Save resource graph to file | ||
@ In, filename, str, path to file | ||
@ Out, None | ||
""" | ||
plt.savefig(filename) |
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