reorganization: move example plotting into an extra submodule

Change-Id: Ibb7a81f360493ad8c1b7e58303e2e256c64dd755
This commit is contained in:
Jan Kundrát
2020-05-23 19:48:57 +02:00
parent 9e74e8b0a0
commit 2b473d26d3
3 changed files with 85 additions and 69 deletions

View File

@@ -15,8 +15,6 @@ from sys import exit
from pathlib import Path
from logging import getLogger, basicConfig, INFO, ERROR, DEBUG
from numpy import linspace, mean
from matplotlib.pyplot import show, axis, figure, title, text
from networkx import draw_networkx_nodes, draw_networkx_edges, draw_networkx_labels
from gnpy.core.equipment import trx_mode_params
from gnpy.core.network import build_network
from gnpy.core.elements import Transceiver, Fiber, RamanFiber
@@ -27,76 +25,11 @@ from gnpy.core.utils import db2lin, lin2db, write_csv
import gnpy.core.ansi_escapes as ansi_escapes
from gnpy.topology.request import PathRequest, compute_constrained_path, propagate2
from gnpy.tools.json_io import load_equipment, load_network, save_network, load_json
from gnpy.tools.plots import plot_baseline, plot_results
logger = getLogger(__name__)
def plot_baseline(network):
edges = set(network.edges())
pos = {n: (n.lng, n.lat) for n in network.nodes()}
labels = {n: n.location.city for n in network.nodes() if isinstance(n, Transceiver)}
city_labels = set(labels.values())
for n in network.nodes():
if n.location.city and n.location.city not in city_labels:
labels[n] = n.location.city
city_labels.add(n.location.city)
label_pos = pos
fig = figure()
kwargs = {'figure': fig, 'pos': pos}
plot = draw_networkx_nodes(network, nodelist=network.nodes(), node_color='#ababab', **kwargs)
draw_networkx_edges(network, edgelist=edges, edge_color='#ababab', **kwargs)
draw_networkx_labels(network, labels=labels, font_size=14, **{**kwargs, 'pos': label_pos})
axis('off')
show()
def plot_results(network, path, source, destination, infos):
path_edges = set(zip(path[:-1], path[1:]))
edges = set(network.edges()) - path_edges
pos = {n: (n.lng, n.lat) for n in network.nodes()}
nodes = {}
for k, (x, y) in pos.items():
nodes.setdefault((round(x, 1), round(y, 1)), []).append(k)
labels = {n: n.location.city for n in network.nodes() if isinstance(n, Transceiver)}
city_labels = set(labels.values())
for n in network.nodes():
if n.location.city and n.location.city not in city_labels:
labels[n] = n.location.city
city_labels.add(n.location.city)
label_pos = pos
fig = figure()
kwargs = {'figure': fig, 'pos': pos}
all_nodes = [n for n in network.nodes() if n not in path]
plot = draw_networkx_nodes(network, nodelist=all_nodes, node_color='#ababab', node_size=50, **kwargs)
draw_networkx_nodes(network, nodelist=path, node_color='#ff0000', node_size=55, **kwargs)
draw_networkx_edges(network, edgelist=edges, edge_color='#ababab', **kwargs)
draw_networkx_edges(network, edgelist=path_edges, edge_color='#ff0000', **kwargs)
draw_networkx_labels(network, labels=labels, font_size=14, **{**kwargs, 'pos': label_pos})
title(f'Propagating from {source.loc.city} to {destination.loc.city}')
axis('off')
heading = 'Spectral Information\n\n'
textbox = text(0.85, 0.20, heading, fontsize=14, fontname='Ubuntu Mono',
verticalalignment='top', transform=fig.axes[0].transAxes,
bbox={'boxstyle': 'round', 'facecolor': 'wheat', 'alpha': 0.5})
msgs = {(x, y): heading + '\n\n'.join(str(n) for n in ns if n in path)
for (x, y), ns in nodes.items()}
def hover(event):
if event.xdata is None or event.ydata is None:
return
if fig.contains(event):
x, y = round(event.xdata, 1), round(event.ydata, 1)
if (x, y) in msgs:
textbox.set_text(msgs[x, y])
else:
textbox.set_text(heading)
fig.canvas.draw_idle()
fig.canvas.mpl_connect('motion_notify_event', hover)
show()
def main(network, equipment, source, destination, sim_params, req=None):
result_dicts = {}