Note
Go to the end to download the full example code.
Get Results workflow#
This example shows how to use PyConcentEV to get a list of result parameters from a list of design_instance_ids These lists are provided in design_instance_ids.csv
Warning
Assumes a front and rear motor architecture. Assumes a specific drive cycle result is available. If short results is true it gets in User Units Assumes first job in list for each project is the result we want.
Perform required imports#
Get the necessary imports.
import datetime
import json
import time
import matplotlib.pyplot as plt
import pandas as pd
from ansys.conceptev.core import app
from ansys.conceptev.core.settings import settings
OCM_URL = settings.ocm_url
Inputs#
Change the following variables to match your data.
short_results = True # For results created after 15/11/2024 improved performance.
get_results_off_server = True # Generates an output file that can be read later.
output_filename = "results.xlsx" # Output filename for results.
Generate and run templates#
This function generates a new project and runs a template for each design_instance_id The design_instance_ids are returned for later use.
def generate_and_run_templates(client, account_id, hpc_id):
token = app.get_token(client)
project_id = app.create_new_project(
client, account_id, hpc_id, f"New Project {datetime.datetime.now()}"
)
template_ids = ["ae7ca4d7-4bac-48f5-be42-d5f0b6a24b00"]
design_instance_ids = []
for template_id in template_ids:
design_instance_id = app.create_design_instance(
project_id["projectId"], f"New Concept {datetime.datetime.now()}", token
)
concept = app.copy_concept(template_id, design_instance_id, client)
job_info = app.create_submit_job(
client,
concept,
account_id,
hpc_id,
job_name=f"cli_job: {datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S.%f')}",
)
design_instance_ids.append(design_instance_id)
return design_instance_ids
Create a client and set up projects#
Gets the account_id and hpc_id Generates and runs templates
with app.get_http_client() as client:
token = app.get_token(client)
account_id = app.get_account_id(token)
hpc_id = app.get_default_hpc(token, account_id)
design_instance_ids = generate_and_run_templates(client, account_id, hpc_id)
Encryption unavailable. Opting in to plain text.
Traceback (most recent call last):
File "/home/runner/work/pyconceptev/pyconceptev/.venv/lib/python3.13/site-packages/msal_extensions/libsecret.py", line 18, in <module>
import gi # https://github.com/AzureAD/microsoft-authentication-extensions-for-python/wiki/Encryption-on-Linux # pylint: disable=line-too-long
^^^^^^^^^
ModuleNotFoundError: No module named 'gi'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/runner/work/pyconceptev/pyconceptev/src/ansys/conceptev/core/auth.py", line 52, in build_persistence
return build_encrypted_persistence(location)
File "/home/runner/work/pyconceptev/pyconceptev/.venv/lib/python3.13/site-packages/msal_extensions/persistence.py", line 98, in build_encrypted_persistence
return LibsecretPersistence(location)
File "/home/runner/work/pyconceptev/pyconceptev/.venv/lib/python3.13/site-packages/msal_extensions/persistence.py", line 314, in __init__
from .libsecret import ( # This uncertain import is deferred till runtime
LibSecretAgent, trial_run)
File "/home/runner/work/pyconceptev/pyconceptev/.venv/lib/python3.13/site-packages/msal_extensions/libsecret.py", line 20, in <module>
raise ImportError("""Unable to import module 'gi'
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
...<5 lines>...
""") # Message via exception rather than log
^^^^
ImportError: Unable to import module 'gi'
Runtime dependency of PyGObject is missing.
Depends on your Linux distro, you could install it system-wide by something like:
sudo apt install python3-gi python3-gi-cairo gir1.2-secret-1
If necessary, please refer to PyGObject's doc:
https://pygobject.readthedocs.io/en/latest/getting_started.html
Get the project results#
This code gets the project results from the ConceptEV API.
def get_project_results(client, design_instance_id):
"""Get the project results from ConceptEV API.
Assumes the first results only.
"""
token = app.get_token(client)
client.params = {"design_instance_id": design_instance_id}
concept = app.get(client, "/concepts", id=design_instance_id)
job_id = concept["jobs_ids"][0] # get ONLY the first id from each project.
job_info = app.get_job_info(token, job_id)
results = app.read_results(
client, job_info, calculate_units=short_results, filtered=short_results
)
# Need to get, Project Name, Component Name, Cost
arch_id = concept["architecture_id"]
architecture = app.get(client, f"/architectures/{arch_id}")
project_results = {
"architecture": architecture,
"cost": architecture["components_cost"],
"design_instance_id": design_instance_id,
"component_map": app.get_component_id_map(client, design_instance_id),
"design_name": app.get_design_title(token, design_instance_id),
"results": results,
}
return project_results
Get the project results from a list of design_instance_ids#
This code gets the project results from a list of design instance ids.
def get_results(design_instance_ids):
"""Get results from a list of design instance ids."""
with app.get_http_client() as client:
client.timeout = 2000
project_results = [
get_project_results(client, design_instance_id)
for design_instance_id in design_instance_ids
]
return project_results
Get component name from project results.#
This code gets the component name from the project results.
def get_component_name(project_result, name):
"""Get Component Name or returns empty string."""
name = project_result["component_map"].get(project_result["architecture"][name], "")
return name
Get results for a drive cycle requirement.#
Get the results for a drive cycle requirement.
def get_drive_cycle_result(project_result, name):
"""Assumes the first requirement in a concept with the matching name is the one we want."""
requirement = [
result for result in project_result["results"] if result["requirement"]["name"] == name
][0]
return requirement
Getting all the results.#
First get results of the server or load from file.
if get_results_off_server:
time.sleep(20) # Wait for the server to process the results.
project_results = get_results(design_instance_ids)
with open("project_results.json", "w") as f:
json.dump(project_results, f)
else:
with open("project_results.json", "r") as f:
project_results = json.load(f)
Encryption unavailable. Opting in to plain text.
Traceback (most recent call last):
File "/home/runner/work/pyconceptev/pyconceptev/.venv/lib/python3.13/site-packages/msal_extensions/libsecret.py", line 18, in <module>
import gi # https://github.com/AzureAD/microsoft-authentication-extensions-for-python/wiki/Encryption-on-Linux # pylint: disable=line-too-long
^^^^^^^^^
ModuleNotFoundError: No module named 'gi'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/runner/work/pyconceptev/pyconceptev/src/ansys/conceptev/core/auth.py", line 52, in build_persistence
return build_encrypted_persistence(location)
File "/home/runner/work/pyconceptev/pyconceptev/.venv/lib/python3.13/site-packages/msal_extensions/persistence.py", line 98, in build_encrypted_persistence
return LibsecretPersistence(location)
File "/home/runner/work/pyconceptev/pyconceptev/.venv/lib/python3.13/site-packages/msal_extensions/persistence.py", line 314, in __init__
from .libsecret import ( # This uncertain import is deferred till runtime
LibSecretAgent, trial_run)
File "/home/runner/work/pyconceptev/pyconceptev/.venv/lib/python3.13/site-packages/msal_extensions/libsecret.py", line 20, in <module>
raise ImportError("""Unable to import module 'gi'
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
...<5 lines>...
""") # Message via exception rather than log
^^^^
ImportError: Unable to import module 'gi'
Runtime dependency of PyGObject is missing.
Depends on your Linux distro, you could install it system-wide by something like:
sudo apt install python3-gi python3-gi-cairo gir1.2-secret-1
If necessary, please refer to PyGObject's doc:
https://pygobject.readthedocs.io/en/latest/getting_started.html
Encryption unavailable. Opting in to plain text.
Traceback (most recent call last):
File "/home/runner/work/pyconceptev/pyconceptev/.venv/lib/python3.13/site-packages/msal_extensions/libsecret.py", line 18, in <module>
import gi # https://github.com/AzureAD/microsoft-authentication-extensions-for-python/wiki/Encryption-on-Linux # pylint: disable=line-too-long
^^^^^^^^^
ModuleNotFoundError: No module named 'gi'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/runner/work/pyconceptev/pyconceptev/src/ansys/conceptev/core/auth.py", line 52, in build_persistence
return build_encrypted_persistence(location)
File "/home/runner/work/pyconceptev/pyconceptev/.venv/lib/python3.13/site-packages/msal_extensions/persistence.py", line 98, in build_encrypted_persistence
return LibsecretPersistence(location)
File "/home/runner/work/pyconceptev/pyconceptev/.venv/lib/python3.13/site-packages/msal_extensions/persistence.py", line 314, in __init__
from .libsecret import ( # This uncertain import is deferred till runtime
LibSecretAgent, trial_run)
File "/home/runner/work/pyconceptev/pyconceptev/.venv/lib/python3.13/site-packages/msal_extensions/libsecret.py", line 20, in <module>
raise ImportError("""Unable to import module 'gi'
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
...<5 lines>...
""") # Message via exception rather than log
^^^^
ImportError: Unable to import module 'gi'
Runtime dependency of PyGObject is missing.
Depends on your Linux distro, you could install it system-wide by something like:
sudo apt install python3-gi python3-gi-cairo gir1.2-secret-1
If necessary, please refer to PyGObject's doc:
https://pygobject.readthedocs.io/en/latest/getting_started.html
Connected to OCM Websockets.
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Output the results to Excel File.#
Create an output results list to store outputs. Loop through all results. Get the data we want to output. Place in a records list for each row of Excel file.
output_results = []
for (
project_result
) in project_results: # For each project results get the data we want to output into the row.
# Parse the results we are interested in.
steady_drive = get_drive_cycle_result(project_result, "180 km/h")
# Get the Component Names for each of components we are interested in.
front_tranmsission_name = (
get_component_name(project_result, "front_transmission_id") + " (Front)"
)
front_motor_name = get_component_name(project_result, "front_motor_id") + " (Front)"
front_inverter_name = get_component_name(project_result, "front_inverter_id") + " (Front)"
front_disconnect_clutch_name = (
get_component_name(project_result, "front_clutch_id") + " (Front)"
)
rear_transmission_name = get_component_name(project_result, "rear_transmission_id") + " (Rear)"
rear_motor_name = get_component_name(project_result, "rear_motor_id") + " (Rear)"
rear_inverter_name = get_component_name(project_result, "rear_inverter_id") + " (Rear)"
rear_disconnect_clutch_name = get_component_name(project_result, "rear_clutch_id") + " (Rear)"
battery_name = get_component_name(project_result, "battery_id")
# Creating a records list for each row.
output_results.append(
{
"Project Name": project_result["design_name"],
"Design Instance Id": project_result["design_instance_id"],
"Front Transmission": front_tranmsission_name,
"Front Motor": front_motor_name,
"Front Inverter": front_inverter_name,
"Rear Transmission": rear_inverter_name,
"Rear Motor": rear_motor_name,
"Rear Inverter": rear_inverter_name,
"Battery": battery_name,
"Cost": project_result["cost"],
"total_tractive_power": steady_drive["requirement"]["total_tractive_power"],
# Extend as required to add the data you need.
}
)
Output the results to Excel File.#
Convert the output results to a pandas DataFrame. Output the results to an Excel file.
all_results = pd.DataFrame(output_results) # Convert to Pandas DataFrame
plt.plot(all_results["Cost"], all_results["total_tractive_power"], "*") # Plot the results.
plt.show()
all_results.to_excel(output_filename) # Output to excel.
Total running time of the script: (5 minutes 53.448 seconds)