def get_inventor(self):
try:
oApp = GetActiveObject('Inventor.Application')
except Exception as e:
print(e)
oApp = Dispatch('Inventor.Application')
oApp.Visible = True
self._mod = gencache.EnsureModule(
'{D98A091D-3A0F-4C3E-B36E-61F62068D488}', 0, 1, 0)
self._application = self._mod.Application(oApp)
import math
from win32com.client import Dispatch, GetActiveObject, gencache, constants
try:
invApp = GetActiveObject('Inventor.Application')
except:
invApp = Dispatch('Inventor.Application')
invApp.Visible = True
mod = gencache.EnsureModule('{D98A091D-3A0F-4C3E-B36E-61F62068D488}', 0, 1, 0)
invApp = mod.Application(invApp)
# invApp.SilentOperation = True
# Create a new part
invDoc = invApp.Documents.Add(constants.kPartDocumentObject, "", True)
# Casting Document to PartDocument
invPartDoc = mod.PartDocument(invDoc)
compdef = invPartDoc.ComponentDefinition
# Create a sketch
xyPlane = compdef.WorkPlanes.Item(3)
origin_point = invApp.TransientGeometry.CreatePoint(0, 0, 0)
x_axis = invApp.TransientGeometry.CreateUnitVector(1, 0, 0)
y_axis = invApp.TransientGeometry.CreateUnitVector(0, 1, 0)
l = 4
h = 2*(3**0.5)
r = 4/(3**0.5)
for i in range(0, 30):
angle = i*0.1
#%%
try:
n += 1
c3d1 = acad.GetInterfaceObject("AeccXUiLand.AeccApplication.9.0")
n += 1
c3d2 = acad.GetInterfaceObject("AeccXUiRoadway.AeccRoadwayApplication.9.0")
n += 1
#c3d1 = CreateObject("AeccXUiLand.AeccApplication.9.0")
#c3d2 = CreateObject("AeccXUiRoadway.AeccRoadwayApplication.9.0")
pass
except Exception as error:
print(error)
print('\n' + str(n))
try:
acad.Visible = True
pass
except:
pass
print('\33aaaaa')
# %%
x = np.linspace(0, 4, 12)
y = np.cos(x**2 / 3 + 4)
print(x, y)
plt.plot(x, y)
#%%
from numpy import cos, sin, pi, arccos as acos
def _connect_to_running_excel(visible=True):
xl = GetActiveObject('Excel.Application')
xl.Visible = visible
return xl
def main():
uiApplication = GetActiveObject('STK12.Application')
uiApplication.Visible = True
root = uiApplication.Personality2
graph = Graph("bolt://localhost:7687", auth=("neo4j", "ssr"))
ASO_type = int(input("Enter 1 or 2 to score either: (1) an ASO already in orbit or (2) a new ASO - "))
if ASO_type == 1:
norad_id = input("Input the NORAD ID for the ASO you want to score: ")
aso_orb = query_orbit(norad_id, graph)
elif ASO_type == 2:
aso_orb = {}
SMA = float(input("Enter the planned semimajor axis in kilometers: "))
aso_orb['SMA'] = SMA * 1000
inclination = float(input("Enter the planned inclination of the orbit in degrees: "))
aso_orb['Inc'] = math.radians(inclination)
eccentricity = float(input("Enter the planned eccentricity of the orbit: "))
aso_orb['Ecc'] = eccentricity
raan = float(input("Enter the planned right ascension of the ascending node in degrees: "))
aso_orb['RAAN'] = math.radians(raan)
argp = float(input("Enter the planned argument of perigee in degrees: "))
aso_orb['ArgP'] = math.radians(argp)
scenario = root.CurrentScenario
# build satellite
satellite = scenario.Children.New(18, "ASO")
keplerian = satellite.Propagator.InitialState.Representation.ConvertTo(1)
keplerian.LocationType = 5
keplerian.SizeShape.Eccentricity = aso_orb['Ecc']
keplerian.SizeShape.SemiMajorAxis = aso_orb['SMA'] / 1000
keplerian.Orientation.Inclination = math.degrees(aso_orb['Inc'])
keplerian.Orientation.ArgOfPerigee = math.degrees(aso_orb['ArgP']) # deg
keplerian.Orientation.AscNode.Value = math.degrees(aso_orb['RAAN']) # deg
keplerian.Location.Value = 0
# Apply the changes made to the satellite's state and propagate:
satellite.Propagator.InitialState.Representation.Assign(keplerian)
satellite.Propagator.Propagate()
# detectability scoring
radar_detect_results = pd.DataFrame(columns=['Metric', 'Value', 'Tier', 'Score'])
prob_detection = radar_detectability(root)
radar_detect_results = fill_d_dataframe(radar_detect_results, prob_detection)
print(radar_detect_results)
# optical_detectability(root)
# trackability scoring
radar_results = pd.DataFrame(columns=['Metric', 'Value', 'Tier', 'Score'])
optical_results = pd.DataFrame(columns=['Metric', 'Value', 'Tier', 'Score'])
avg_pass, avg_coverage, avg_interval = radar_trackability(aso_orb, root)
opt_pass, opt_coverage, opt_int = optical_trackability(aso_orb, root)
radar_results = fill_dataframe(radar_results, avg_pass, avg_coverage, avg_interval)
optical_results = fill_dataframe(optical_results, opt_pass, opt_coverage, opt_int)
print(radar_results)
radar_score = radar_results['Score'].mean()
print("\nOverall T Radar Score: {}\n".format(radar_score))
print(optical_results)
optical_score = optical_results['Score'].mean()
print("\nOverall T Optical Score: {}".format(optical_score))