Unternehmen, die CANape (einschließlich Vector) verwenden, sind mit Open Source sehr konservativ.
Bei Caterpillar (ca. 2015-2016) wurde eine Alpha-Version entwickelt. Es war gut. Es automatisierte Stunden des dSpace HIL-Testens! Es befindet sich in der Firewall von Caterpillar.
Bei Eaton (ca. 2017) wurde eine Beta-Version entwickelt. Es war gut gut. Es befindet sich in der Firewall von Eaton.
Code hier wurde mit der Demo-Version von Vector entwickelt. Es hat Einschränkungen. Ich kann mir keine Vector-Hardware leisten.
Python ist die Zukunft. ADAS5 benötigt viele Tests. Python ist gut in Tests. CANape braucht Python.
- Vector könnte dies entwickeln. Hören Sie auf Ingenieure, nicht auf Management. Niemand mag COM.
- Jemand spendet eine CANape-Lizenz für die Entwicklung.
- Jemand gabelt und setzt diese Arbeit fort.
Pythonic CFFI wrapper for CANape. This is a full Pythonic wrapper using the CANape ASAM-MCD3 Interface (CANapeAPI). It has an identical feature set to the CANape® and MATLAB® interface.
Create CANape object.
import CANape
canape = CANape.CANape()
CANape can be initialized via the init(), init2(), init3(), init4(), or init5() functions. Any one of these functions can be used to initialize CANape depending upon need. Each function requires a different set of parameters that need to be passed in. If init5 is being used, the function can be called like this:
canape.init5(timeout = 20000,
m_WorkingDir = r"C:\Vector\Data\Experiment1",
fifo_size = 1000,
sample_size = 1,
debug = True,
clear_device_list)
After initializing the ASAP3 connection, a new module/device has to be created and a database file has to be attached. If a connection is being made to a CCP device and an ASAP2 description file is available, the AttachAsap2() function is used.
canape.attach_asap(a2l=r"C:\Vector\Data\Experiment1\TopSecret.a2l",
channel = 2);
To create a connection to a CAN device, the module can to be created like this:
canape.create_module (name = "CAN",
database= r"C:\Vector\Data\Experiment1\TopSecret.dbc",,
driverType=CANape(CCP,
channel = 1);
To use a MDF file in Python or Matlab.
canape.matlab_conversion(mdf = r"C:\Vector\Data\Experiment1\NDA_Data.mdf",
mat = r"C:\Vector\Data\Experiment1\NDA_Data.mat)
To list all devices currently connected to CANape:
devices = canape.get_devices()
for device in devices:
print(device)
Create a new module, add a measurement channel, record data, process it with numpy.
canape.attach_asap(a2l=r"C:\Vector\Data\Experiment1\TopSecret.a2l",
channel = 2);
canape.module[0].add_measurement(name='channel2',
task_index =3,
save=0)
canape.start_measurement()
while True:
data = canape.get_fifo_data(0, 2)
if np.magic(data):
print("Eureka!")
break
Read and display calibration 2D Calibration Map. (Can return any calibration object data type like scalar, string, map and curve.)
data = canape.read_calibration_object(0, 'TopSecretCalibration', 1)
plt.plot(data[:,0], data[:,1])
plt.xlabel("Top Secret Dependent Axis")
plt.ylabel("Top Secret Independent Axis")
plt.title("Top Secret Calibration")
plt.show()
To close the CANape connection, the exit() function is used:
canape.exit()
Exposes all of CANape's features to the Python ecosystem.
- Use Jenkins' Python integration to do continuous integration of flash file builds and unit tests.
- Embed CANape testing in Jupyter Notebooks for interactive exploratory data analysis or generating PDF Reports.
- Integrate CANape data with Deep Neural Nets such as Tensorflow, Keras, and Theano.
- Use the Python Data Analysis Library
pandasto create beautiful data visualizations of CANape data.
- Me: "So are you guys going to ever release a Python interface?"
- Vector Sales Rep: "Everyone loves our COM interface? Is the COM interface not good enough? Why would anyone want to use Python when there is a COM interface? I can give you the e-mail address of an engineer if you need help with our COM interface."
- Me:
