Files
kabellaengen/lib/plant.py
T

865 lines
32 KiB
Python

import json
from shapely.geometry import LineString, Point, box
from shapely.ops import nearest_points
import unittest
from collections import defaultdict
import bisect
import networkx as nx
import matplotlib.pyplot as plt
from itertools import pairwise, combinations, permutations
import re
from shapely.strtree import STRtree
# Globale Variable, die in main aufgerufen wird und steuert ob Graphen in unittests gezeichnet werden
draw = False
class PointSorter:
def __init__(self):
self._points_by_x = [] # [(x, y)]
self._points_by_y = [] # [(y, x)]
def add_point(self, x, y):
bisect.insort(self._points_by_x, (x, y))
bisect.insort(self._points_by_y, (y, x))
def add_points(self, points:list[Point]):
for p in points:
self.add_point(p.x, p.y)
def query_box(self, x1, x2, y1, y2):
# Suche nach x-Grenzen
ix1 = bisect.bisect_left(self._points_by_x, (x1, -float('inf')))
ix2 = bisect.bisect_right(self._points_by_x, (x2, float('inf')))
candidates = self._points_by_x[ix1:ix2]
# Filtere nach y
ret = list()
for (x,y) in candidates:
if y1 <= y <= y2:
ret.append(Point(x,y))
return ret
def get_sorted_by_x(self):
# Sortiere nach x
ret = list()
for (x,y) in self._points_by_x:
ret.append(Point(x,y))
return ret
def get_sorted_by_y(self):
# Sortiere nach y
ret = list()
for (y,x) in self._points_by_y:
ret.append(Point(x,y))
return ret
def to_json(d, pretty: bool = True) -> str:
return json.dumps(d, indent=2 if pretty else None, default=str) #ensure_ascii false für darstellung von "ue"
class NodeIDs():
def __init__(self, points=[]):
self._counter = 0
self._cord2id = dict()
self._id2cord = dict()
self.add_points(points)
def add_point(self, point:Point):
if self.point_exists(point):
return True
self._counter += 1
self._cord2id[f"{point.x} {point.y}"] = self._counter
self._id2cord[self._counter] = point
def point_exists(self, point:Point) -> bool:
return f"{point.x} {point.y}" in self._cord2id
def nid_exists(self, nid:int) -> bool:
return nid in self._id2cord
def add_points(self, points:list[Point]):
for p in points:
self.add_point(p)
def get_id(self, point:Point) -> int:
if f"{point.x} {point.y}" not in self._cord2id:
raise Exception(f"Punkt nicht vorhanden!, {point.x},{point.y}")
return self._cord2id[f"{point.x} {point.y}"]
def get_point(self, nid:int) -> Point:
if nid not in self._id2cord:
raise Exception(f"NodeID nicht vorhanden! {nid}")
return self._id2cord[nid]
def get_ids(self, points:list[Point]) -> list[int]:
ret = list()
for p in points:
nid = self.get_id(p)
ret.append(nid)
return ret
def size_of(self):
return len(self._cord2id.keys())
def get_points(self, nids:list[int]) -> list[Point]:
ret = list()
for n in nids:
c = self.get_point(n)
ret.append(c)
return ret
def show(self):
return self._id2cord
class RackIDs():
def __init__(self, tol_snap = 200.0):
self._point2rack = dict()
self._rack2begend = dict()
# Toleranzen zur Rack anbindung aneinander (Rack Snap)
self._tol_snap = tol_snap
# STR-Baum, der die Racks verwaltet und zur Verbdinungssuche Rack-Rack & Rack-Equipment verwendet wird
self._rack_tree = None
def add_rack(self, beg:Point, end:Point, name:str):
if beg in self._point2rack:
self._point2rack[beg].append(name)
else:
self._point2rack[beg] = [name]
if end in self._point2rack:
self._point2rack[end].append(name)
else:
self._point2rack[end] = [name]
self._rack2begend[name] = (beg, end) # Anfangs und Endpunkte zu Rack Namen merken
def add_racks(self, racks:dict):
for name,v in racks.items():
if len(v) == 2:
self.add_rack(v[0], v[1], name)
else:
counter = 0
for start, end in pairwise(v):
counter +=1
self.add_rack(start, end, f"{name}-{counter}")
def get_racks_borders(self) -> dict:
''' Gibt Rack nur mit Anfangs und Endpunkt zurück.
{Rack_1_0: "Point(0, 0), Point(0,15)", ... }
'''
return self._rack2begend
def get_racks_from_all_points(self) -> dict:
''' Gibt zu einem Punkt, diejenigen Racks zurück, auf denen der Punkt liegt.
{Point(0, 0): ["Rack_1-0", "Rack_2-0", ...]}
'''
return self._point2rack
def get_rack_names(self) -> list:
return list(self._rack2begend.keys())
def add_point_to_rack(self, point:Point, name:str):
if point in self._point2rack:
self._point2rack[point].append(name)
else:
self._point2rack[point] = [name]
def get_racks_from_point(self, point:Point) -> list[str]:
return self._point2rack[point]
def get_points_from_rack(self, name:str) -> list[Point]:
''' Gibt zu Namen von Rack zugehörige Punkte aus und sortiert Punkte'''
ret = list()
pin = PointSorter()
for p, l_racks in self._point2rack.items():
if name in l_racks:
ret.append(p)
pin.add_points(ret)
ret_sorted = list()
#(pa, pe) = self._rack2begend[name]
if self.rack_is_horizontal(name):
ret_sorted = pin.get_sorted_by_x()
else:
ret_sorted = pin.get_sorted_by_y()
return ret_sorted
def _build_rack_strtree(self):
self._rack_lines = []
self._rack_map = {}
for r_name, pts in self.get_racks_borders().items():
line = LineString([pts[0], pts[-1]])
self._rack_lines.append(line)
self._rack_map[line] = r_name
self._rack_tree = STRtree(self._rack_lines)
def join_racks_str(self):
if self._rack_tree is None:
self._build_rack_strtree()
rack_tree = self._rack_tree
rnames = self._rack_map
allracks = self._rack_lines
# Erzeugung von BoundingBox
for i, l1 in enumerate(allracks):
bbox = box(*l1.bounds).buffer(self._tol_snap)
candidates = rack_tree.query(bbox)
candidates = [self._rack_lines[idx] for idx in candidates]
for l2 in candidates:
if l1.equals(l2):
continue
# Echte Schnittpunkte
if l1.intersects(l2):
inter = l1.intersection(l2)
if inter.geom_type == "Point":
self.add_point_to_rack(inter, rnames[l1])
self.add_point_to_rack(inter, rnames[l2])
# Beinahe Schnittpunkte -> Snapping
for pt in [Point(l2.coords[0]), Point(l2.coords[-1])]:
if l1.distance(pt) <= self._tol_snap:
snap_point = l1.interpolate(l1.project(pt))
self.add_point_to_rack(snap_point, rnames[l1])
connrackname = f"c-{rnames[l2]}"
self.add_rack(pt, snap_point, connrackname)
def rack_is_horizontal(self, name):
[pa, pe] = self._rack2begend[name]
if pa.y == pe.y:
return True
else:
return False
class Anlage():
r"""
Baut eine Anlage besteend aus Kabeltrassen (Racks), Sensoren und Unterverteilern auf.
Ermöglicht die Berechnung der günstigsten Kabelwege und gibt die Kabellängen von jedem Sensor zum zugehörigen Unterverteiler aus.
Parameters
----------
Returns
-------
Examples
--------
>>> # Erstelle Anlage
>>> an = Anlage()
>>> # Füge racks aus Daten hinzu
>>> an.set_racks(rack_segs)
>>> # Verbinde Racks miteinander (ggf. verlängere ungenaue Racks)
>>> an.join_racks()
>>> # Füge Sensoren als Knoten hinzu
>>> an.add_sensors(sensors)
>>> # Verbinde Sensoren mit deren naheliegendsten Racks
>>> an.connect_sensors_to_racks()
>>> # Füge UV hinzu
>>> an.add_distributors(distributors)
>>> # Verbinde UV mit deren naheliegendsten Racks
>>> an.connect_distributor_to_racks()
>>> # Verknüpfe Sensoren mit zugehörigem UV
>>> an.map_distributors_to_sensors(mapping)
>>>
>>> # Initialisiere Graph
>>> G3 = nx.Graph()
>>> # Fülle eben erstellten Graphen mit Daten
>>> pos = an.generate_graph(G3)
>>> # Ermittle kürzeste Wege von Unterverteilern zu zugehörigen Sensoren
>>> paths = an.create_cable_paths(G3)
>>> print(paths['Dist_1-Sens_1']["path_coords"])
... [Point(-1, 9), Point(0, 9), Point(0, 3), Point(0, 1), Point(1, 1)]
>>> print(paths['Dist_1-Sens_2']["path_coords"])
... [Point(-1, 9), Point(0, 9), Point(0, 3), Point(2, 3), Point(2, 4)]
>>> print(paths['Dist_2-Sens_3']["path_coords"])
... [Point(11, 0), Point(10, 0), Point(10, 2), Point(9, 2)]
>>> print(paths['Dist_1-Sens_1']["path_length"])
... 10
"""
def __init__(self, tol_snap=200.0, snap_step=10.0, tol_connect=5000.0, tol_connect_step=50.0):
# Container für alle Racks
self._racks = RackIDs(tol_snap=tol_snap)
# zuordnung zwischen KnotenID und Punkt
self._nodeids = NodeIDs()
# Container für alle Sensoren
self._sensors = dict()
self._sensor_onpoints = dict()
# Container für alle Unterverteiler
self._distributors = dict()
self._distributors_onpoints = dict()
# Container für alle Tunnel
self._tunnels = dict()
self._tunnel_onpoints = dict()
self._tunnel_lengths = dict()
#Container für alle Wege
self._sensor2dist = dict()
# Toleranzen zur Rack anbindung aneinander (Rack Snap)
self._tol_snap = tol_snap
self._snap_step = snap_step
# Toleranzen zur Anbindung von Sensoren / Verteilern zu Racks
self._tol_connect = tol_connect
self._connect_step = tol_connect_step
# Infos zum zeichnen des Graphen
self._node_positions = dict()
def set_racks(self, racks:dict[str, list[Point]]):
r"""
Fügt racks aus eingelsener Datei zu Anlage hinzu.
Parameters
----------
racks - dict{"Rack_1-1": [Point(1, 0), Point(2,0), ...]}
"""
return self._racks.add_racks(racks)
def get_racks(self) -> dict:
r"""
Gibt in Anlage enthaltene Racks zurück.
Returns
----------
dict{Point(0,0): ["Rack_1", "Rack_2", ...]}
"""
return self._racks._point2rack
def add_point_to_rack(self, point:Point, rname:str):
r"""
Fügt einen Punkt zu einem angegebenen Rack hinzu.
"""
return self._racks.add_point_to_rack(point, rname)
def get_all_rack_points(self):
r"""
Gibt einer Liste von allen Punkten allen Racks zurück.
Returns
----------
[Point(0,0), Point(1,5), Point(2,6)]
"""
ret = list()
for rname in self._racks.get_rack_names():
ret.extend(self.get_points_from_rack(rname))
return list(set(ret))
def get_rack_names(self) -> list:
return self._racks.get_rack_names()
def get_points_from_rack(self, rname) -> list:
''' Gibt zu Namen von Rack zugehörige Punkte aus und sortiert Punkte'''
return self._racks.get_points_from_rack(rname)
def get_points_from_sensors(self):
'''gibt die Aufpunkte aller Sensoren auf den Racks zurück'''
return self._sensors.values()
def get_distributor_onpoints(self):
'''gibt die Aufpunkte aller Unterverteiler auf den Racks zurück'''
return self._distributors_onpoints.values()
def get_sensor_onpoints(self):
'''gibt die Aufpunkte aller Sensoren auf den Racks zurück'''
return self._sensor_onpoints.values()
def add_sensor(self, sname: str, pos:Point):
self._sensors[sname] = pos
def add_sensors(self, sensors:dict):
for sname,pos in sensors.items():
self.add_sensor(sname, pos)
def get_sensor_point(self, sname:str) -> Point:
if sname in self._sensors:
return self._sensors[sname]
raise Exception("Sensor not found")
def connect_sensors_to_racks(self) -> list:
'''verbindet die Sensoren mit den Racks.
die Rückgabe enthält ein Tuple, welche Sensoren keinem Rack zugeordnet werden konnten
'''
return self.connect_equipment_to_racks(self._sensors, self._sensor_onpoints)
def add_distributor(self, dname: str, pos:Point):
self._distributors[dname] = pos
def add_distributors(self, distributors:dict):
for dname,pos in distributors.items():
self.add_distributor(dname, pos)
def get_distributor_point(self, dname:str) -> Point:
if dname in self._distributors:
return self._distributors[dname]
raise Exception("Distributor not found")
def connect_distributor_to_racks(self) -> list:
'''verbindet die Unterverteiler mit den Racks
die Rückage enthält ein Tuple, welche Unterverteiler keinem Rack zugeordnet werden konnten
'''
return self.connect_equipment_to_racks(self._distributors, self._distributors_onpoints)
def get_tunnel_onpoints(self):
return self._tunnel_onpoints.values()
def add_tunnel(self, tname: str, pos:Point):
self._tunnels[tname] = pos
def set_tunnel_length(self, tunlength: dict):
self._tunnel_lengths = tunlength
def get_tunnel_length(self, tname: str):
if tname in self._tunnels:
return self._tunnel_lengths[tname]
raise Exception("Tunnel not found")
def add_tunnels(self, tunnels:dict):
for tname,pos in tunnels.items():
self.add_tunnel(tname, pos)
def get_tunnel_point(self, tname:str) -> Point:
if tname in self._tunnels:
return self._tunnels[tname]
raise Exception("Tunnel not found")
def connect_tunnels(self) -> list:
'''verbindet die Anfangs und Endpunkte der Tunnel miteiandner als t-Rack
Verbindet sowohl Tunnel anfang als auch Tunnel ende jeweils mit nahegelgenem Rack (standard Aufruf wie Sensoren / Distributoren)
die Rückage enthält ein Tuple, welche Tunnel keinem Rack zugeordnet werden konnten
'''
for tname, pos in self._tunnels.items():
tunbeg = pos[0]
tunend = pos[1]
trackname = f"t-Rack-{tname}"
self._racks.add_rack(tunbeg, tunend, trackname)
errors = list()
for name, pos in self._tunnels.items():
p1 = self._tunnels[name][0]
p2 = self._tunnels[name][1]
ret = self.connect_equipment_to_racks({f"{name}-A": p1}, self._tunnel_onpoints)
if ret:
errors.append(ret)
ret = self.connect_equipment_to_racks({f"{name}-E": p2}, self._tunnel_onpoints)
if ret:
errors.append(ret)
return errors
def join_racks(self):
self._racks.join_racks_str()
def find_nearest_rack_from_point_STR_bbox(self, max_dist, sensor:Point) -> tuple[Point, str]:
if self._racks._rack_tree is None:
self._racks._build_rack_strtree()
minx, miny, maxx, maxy = sensor.x - max_dist, sensor.y - max_dist, sensor.x + max_dist, sensor.y + max_dist
bbox = box(minx, miny, maxx, maxy)
candidates = self._racks._rack_tree.query(bbox)
if len(candidates) == 0:
raise LookupError("no candidates in box found")
candidates = [self._racks._rack_lines[idx] for idx in candidates]
best_dist = max_dist
best_line = candidates[0]
for line in candidates:
dist = sensor.distance(line)
if dist < best_dist:
best_dist = dist
best_line = line
rack_name = self._racks._rack_map[best_line]
nearest_point = best_line.interpolate(best_line.project(sensor))
return nearest_point, rack_name
def connect_equipment_to_racks(self, equipment: dict, onpoints: dict) -> list:
'''Verbindet Peripherie (Sensoren / Aktoren/ Unterverteiler) mit dem nächsten Rack.
Eingabe: Dict des Equipments (Sensoren o. Dists), Dict der Aufpunkte von Sensoren o. Dists
Rückgabe: Liste der nicht zugeordneten Geräte
'''
errors = []
for name, pos in equipment.items():
try:
onpoint, rackname = self.find_nearest_rack_from_point_STR_bbox(self._tol_connect, pos)
onpoints[name] = (onpoint, rackname)
except LookupError:
errors.append((name, pos))
continue
self.add_point_to_rack(onpoint, rackname)
virtual_rackname = f"v-{name}-{rackname}"
self._racks.add_rack(pos, onpoint, virtual_rackname)
return errors
def get_node_positions(self):
''' Daten werden durch generate_graph() befüllt'''
return self._node_positions
def is_sensor(self, p:Point) -> bool:
if p in self._sensors.values():
return True
else:
return False
def is_distributor(self, p:Point) -> bool:
if p in self._distributors.values():
return True
else:
return False
def generate_graph(self, G:nx.Graph):
points = list()
points.extend(self.get_all_rack_points())
points.extend(self.get_points_from_sensors())
self._nodeids.add_points(points)
for p in points:
if self.is_distributor(p):
shape = "s"
elif self.is_sensor(p):
shape = "^"
else:
shape = "o"
nid = self._nodeids.get_id(p)
G.add_node(nid, shape=shape) # Knoten für Startpunkt
for node in G.nodes:
point = self._nodeids.get_point(node)
self._node_positions[node] = (point.x, point.y)
for rname in self.get_rack_names():
plist = self.get_points_from_rack(rname)
for start, end in pairwise(plist):
nid_start = self._nodeids.get_id(start)
nid_end = self._nodeids.get_id(end)
weight=start.distance(end)
if re.match("v-.*", rname):
color = "red"
elif re.match("d-.*", rname):
color = "blue"
elif re.match("t-.*", rname):
color = "orange"
tname = rname.split("-")[2]
weight = self.get_tunnel_length(tname)
else:
color = "black"
G.add_edge(nid_start, nid_end, color=color, weight=weight)
return self._node_positions
def map_distributor_to_sensors(self, dname:str, snamen:list[str]):
''' Gibt zu einem Distributor die zugehörigen Sensoren an, die später zugeordnet werden.
Dist_1: ["Sens_3, Sens_5, ...]
'''
for sname in snamen:
self._sensor2dist[sname] = dname
def map_distributors_to_sensors(self, d2sensors:dict[str, list[str]]):
''' Gibt zu einem dict mit Distributors die jeweils zugehörigen Sensoren aus.
{Dist_1: ["Sens_3, Sens_5, ...]
Dist_2: ["Sens_1, Sens_8, ...]}
'''
for dname, listofsensors in d2sensors.items():
self.map_distributor_to_sensors(dname, listofsensors)
def create_cable_path(self, G, sname, dname) -> tuple:
quelle = self._nodeids.get_id(self.get_distributor_point(dname))
ziel = self._nodeids.get_id(self.get_sensor_point(sname))
pfad_nodes = nx.shortest_path(G, source=quelle, target=ziel, weight='weight')
pfad_length = nx.shortest_path_length(G, source=quelle, target=ziel, weight='weight')
return pfad_nodes, pfad_length
def create_cable_paths(self, G) -> dict:
pfade = dict()
pfade["kabel"] = list()
pfade["errors"] = list()
for sname, dname in self._sensor2dist.items():
try:
pfad_nodes, pfad_length = self.create_cable_path(G, sname, dname)
except:
pfade["errors"].append((sname, dname))
continue
pfad_coords = self._nodeids.get_points(pfad_nodes)
#tuplecoords = [(p.x, p.y) for p in pfad_coords]
ld = dict()
ld['id'] = f"{dname}-{sname}"
ld["coords"]= [{"x":round(p.x,1), "y":round(p.y,1)} for p in pfad_coords]
ld["length"]= round(pfad_length,1)
ld["nodes"]=pfad_nodes
pfade["kabel"].append(ld)
return pfade
def show_node_ids(self):
return self._nodeids.show()
class TestPlant(unittest.TestCase):
def test_duplicate_points(self):
''' Testet das Nicht-Hinzufügen von doppelten Punkten'''
# Initialisiere die Liste an Knoten
nodeids = NodeIDs()
# Setze gleichen Knoten doppelt
nodeids.add_point(Point(1,1))
nodeids.add_point(Point(1,1))
self.assertEqual(nodeids.size_of(), 1)
def test_cut_rack_in_segments(self):
''' Teilt Rack aus Polyline in mehrere Segmente automatisch auf.'''
racks_data = {
'Rack_1': [Point(0, 0), Point(0, 10), Point (10, 10)],
'Rack_2': [Point(-5, 5), Point(5, 5)]
}
# Initialisiere Racks
rack = RackIDs()
# Füge Racks aus gegebenen Daten hinzu und teile Rack_1 bestehend aus 3 Punkten in 2 Racks auf
rack.add_racks(racks_data)
self.assertEqual(rack.get_rack_names(), ['Rack_1-1', 'Rack_1-2', 'Rack_2'])
def test_intersect_segments(self):
''' Stellt Schnittpunkte zwischen Racks fest und fügt Schnittpunkt zu Rack hinzu. '''
racks_data = {
'Rack_1': [Point(0, 0), Point(0, 10), Point (10, 10)],
'Rack_2': [Point(-5, 5), Point(5, 5)],
}
# Initialisiere Racks
rack = RackIDs()
# Füge Racks aus gegebenen Daten hinzu und teile Rack_1 bestehend aus 3 Punkten in 2 Racks auf
rack.add_racks(racks_data)
# Verknüpfe Racks mit echten Schnittpunkten und füge Schnittpunkte (exakt & beinahe) zu jeweiligem Rack hinzu
rack.join_racks_str()
self.assertEqual(rack.get_points_from_rack("Rack_1-1"), [Point(0, 0), Point(0, 5), Point (0, 10)])
def test_snap_segments(self):
''' Verlängert Anfangs und Endpunkte von Racks, sodass sie auf naheliegenden Racks liegen'''
racks_data = {
'Rack_1': [Point(0, 0), Point(0, 10)],
'Rack_2': [Point(1, 5), Point(5, 5)],
'Rack_3': [Point(1.5, 7.5), Point(5, 7.5)]
}
# Initialisiere Racks
rack = RackIDs(tol_snap=1)
# Füge Racks aus gegebenen Daten hinzu und teile Rack_1 bestehend aus 3 Punkten in 2 Racks auf
rack.add_racks(racks_data)
# Verknüpfe Racks mit echten Schnittpunkten und füge Schnittpunkte (exakt & beinahe) zu jeweiligem Rack hinzu
rack.join_racks_str()
#Rack 2 wird verlängert auf SP mit Rack 1. Rack 3 ausserhalb der Toleranz
self.assertEqual(rack.get_points_from_rack("Rack_1"), [Point(0, 0), Point(0, 5), Point (0, 10)])
def test_ids_to_point(self):
''' Testet, ob gefragter Punkt auf Racks a, b, c liegt'''
res_rack_seg = {'Rack_1-0': [Point(1, 0), Point(5, 6)],
'Rack_2-0': [Point(1, 8), Point(1, 0)],
'Rack_2-1': [Point(0, 10), Point(5, 10)]}
point2rack = RackIDs()
point2rack.add_racks(res_rack_seg)
self.assertEqual(point2rack.get_racks_from_point(Point(1, 0)), ["Rack_1-0", "Rack_2-0"])
self.assertEqual(point2rack.get_racks_from_point(Point(5, 6)), ["Rack_1-0"])
self.assertEqual(point2rack.get_points_from_rack("Rack_2-0"), [Point(1, 0), Point(1, 8)])
def test_add_point_interim(self):
''' Testet das hinzufügen und einsortieren eines Zwischenpunktes zwischen Rack-Anfang und Rack-Ende'''
res_rack_seg = {'Rack_1-0': [Point(1, 0), Point(5, 6)],
'Rack_2-0': [Point(1, 8), Point(1, 0)],
'Rack_2-1': [Point(0, 10), Point(5, 10)]}
point2rack = RackIDs()
point2rack.add_racks(res_rack_seg)
point2rack.add_point_to_rack(Point(1,4), "Rack_2-0")
self.assertEqual(point2rack.get_points_from_rack("Rack_2-0"), [Point(1, 0), Point(1,4), Point(1, 8)])
def test_add_sensor(self):
''' Erzeugt Aufpunkt an dem Sensor nähesten Rack und fügt diesen auf Rack ein (sortiert).'''
rack_segs = {'Rack_1-0': [Point(0, 0), Point(0, 10)],
'Rack_2-0': [Point(10, -2), Point(10, 5)],
'Rack_2-1': [Point(0, 3), Point(10, 3)]}
sensors = {'Sens_1': Point(1, 1),
'Sens_2': Point(2, 4),
'Sens_3': Point(9, 2)}
an = Anlage()
point2rack = an.set_racks(rack_segs)
an.add_sensors(sensors)
plist1 = an.get_points_from_rack("Rack_1-0")
an.connect_sensors_to_racks()
plist2 = an.get_points_from_rack("Rack_1-0")
self.assertEqual(plist1, [Point(0, 0), Point(0, 10)])
self.assertEqual(plist2, [Point(0, 0), Point(0,1), Point(0, 10)])
def test_add_equipment_str_tree(self):
racks = {'Rack_1': [Point(0, 0), Point(0, 10)],
'Rack_2': [Point(10, -2), Point(10, 5)],
'Rack_3': [Point(0, 3), Point(10, 3)]}
sensors = {'Sens_1': Point(1, 1),
'Sens_2': Point(2, 4),
'Sens_3': Point(9, 2)}
distributors = {'Dist_1': Point(-1, 9),
'Dist_2': Point(11, 0)}
an = Anlage(tol_snap=1.5, tol_connect=1.5)
an.set_racks(racks)
an.join_racks()
an.add_sensors(sensors)
an.add_distributors(distributors)
an.connect_equipment_to_racks(an._sensors, an._sensor_onpoints)
an.connect_equipment_to_racks(an._distributors, an._distributors_onpoints)
plist1 = an.get_points_from_rack("Rack_1")
plist2 = an.get_points_from_rack("Rack_2")
self.assertEqual(plist1, [Point(0, 0), Point(0, 1), Point(0, 3), Point(0, 9), Point(0, 10)])
self.assertEqual(plist2, [Point(10, -2), Point(10, 0), Point(10, 2), Point(10, 3), Point(10, 5)])
def test_wegsuche_str_tree(self):
racks = {'Rack_1-0': [Point(0, 0), Point(0, 10)],
'Rack_2-0': [Point(10, -2), Point(10, 5)],
'Rack_2-1': [Point(0, 3), Point(10, 3)]}
sensors = {'Sens_1': Point(1, 1),
'Sens_2': Point(2, 4),
'Sens_3': Point(9, 2)}
distributors = {'Dist_1': Point(-1, 9),
'Dist_2': Point(11, 0)}
mapping = {'Dist_1': ['Sens_1', 'Sens_2'],
'Dist_2': ['Sens_3']}
an = Anlage(tol_snap=1)
an.set_racks(racks)
an.join_racks()
an.add_sensors(sensors)
an.add_distributors(distributors)
an.connect_equipment_to_racks(an._sensors, an._sensor_onpoints)
an.connect_equipment_to_racks(an._distributors, an._distributors_onpoints)
an.map_distributors_to_sensors(mapping)
G = nx.Graph()
# Fülle eben erstellten Graphen mit Daten
pos = an.generate_graph(G)
# Extrahiere Farb-Informationen der Kanten
edge_colors = [G[u][v].get('color', 'black') for u, v in G.edges()]
# Zeiche Graphen und zeige in
if draw:
nx.draw(G, pos, with_labels=False, node_size=10, font_size=8, edge_color=edge_colors)
plt.show()
# Ermittle kürzeste Wege von Unterverteilern zu zugehörigen Sensoren
paths = an.create_cable_paths(G)
paths_by_id = {p['id']: p for p in paths["kabel"]}
self.assertEqual(paths_by_id['Dist_1-Sens_1']["coords"], [{'x': -1.0, 'y': 9.0}, {'x': 0.0, 'y': 9.0}, {'x': 0.0, 'y': 3.0}, {'x': 0.0, 'y': 1.0}, {'x': 1.0, 'y': 1.0}])
self.assertEqual(paths_by_id['Dist_1-Sens_2']["coords"], [{'x': -1.0, 'y': 9.0}, {'x': 0.0, 'y': 9.0}, {'x': 0.0, 'y': 3.0}, {'x': 2.0, 'y': 3.0}, {'x': 2.0, 'y': 4.0}])
self.assertEqual(paths_by_id['Dist_2-Sens_3']["coords"], [{'x': 11.0, 'y': 0.0}, {'x': 10.0, 'y': 0.0}, {'x': 10.0, 'y': 2.0}, {'x': 9.0, 'y': 2.0}])
self.assertEqual(paths_by_id['Dist_1-Sens_1']["length"], 10)
self.assertEqual(paths_by_id['Dist_1-Sens_2']["length"], 10)
self.assertEqual(paths_by_id['Dist_2-Sens_3']["length"], 4)
def test_generate_graph(self):
'''Generiert einen Graphen in 3 unterschiedlichen Ausbaustufen (nur Racks, Racks+Sensoren, Racks+Sensoren+Unterverteiler)'''
rack_segs = {'Rack_1-0': [Point(0, 0), Point(0, 10)],
'Rack_2-0': [Point(10, -2), Point(10, 5)],
'Rack_2-1': [Point(0, 3), Point(10, 3)]}
sensors = {'Sens_1': Point(1, 1),
'Sens_2': Point(2, 4),
'Sens_3': Point(9, 2)}
distributors = {'Dist_1': Point(-1, 9),
'Dist_2': Point(11, 0)}
an = Anlage()
an.set_racks(rack_segs)
an.join_racks
G1 = nx.Graph()
pos = an.generate_graph(G1)
if draw:
nx.draw(G1, pos, with_labels=False, node_size=10, font_size=8)
plt.show()
an.add_sensors(sensors)
an.connect_sensors_to_racks()
G2 = nx.Graph()
pos = an.generate_graph(G2)
edge_colors = [G2[u][v].get('color', 'black') for u, v in G2.edges()]
if draw:
nx.draw(G2, pos, with_labels=False, node_size=10, font_size=8, edge_color=edge_colors)
plt.show()
an.add_distributors(distributors)
an.connect_distributor_to_racks()
G3 = nx.Graph()
pos = an.generate_graph(G3)
edge_colors = [G3[u][v].get('color', 'black') for u, v in G3.edges()]
if draw:
nx.draw(G3, pos, with_labels=False, node_size=10, font_size=8, edge_color=edge_colors)
plt.show()
if __name__ == '__main__':
# Plot Ausgabe in Unittests steuern
draw = False
suite = unittest.TestSuite()
suite.addTest(TestPlant('test_duplicate_points'))
suite.addTest(TestPlant('test_cut_rack_in_segments'))
suite.addTest(TestPlant('test_intersect_segments'))
suite.addTest(TestPlant('test_snap_segments'))
suite.addTest(TestPlant('test_ids_to_point'))
suite.addTest(TestPlant('test_add_point_interim'))
suite.addTest(TestPlant('test_add_sensor'))
suite.addTest(TestPlant('test_add_equipment_str_tree'))
suite.addTest(TestPlant('test_wegsuche_str_tree'))
suite.addTest(TestPlant('test_generate_graph'))
runner = unittest.TextTestRunner()
runner.run(suite)
#unittest.main()