Die Analysis

Die analysis

Now we will run an analysis using the device data we uploaded in the previous notebook.

As before, make sure you have the following environment variables set or added to a .env file:

GDSFACTORY_HUB_API_URL="https://{org}.gdsfactoryhub.com"
GDSFACTORY_HUB_QUERY_URL="https://query.{org}.gdsfactoryhub.com"
GDSFACTORY_HUB_KEY="<your-gdsfactoryplus-api-key>"

import getpass

from tqdm.notebook import tqdm

import gdsfactoryhub as gfh
from gdsfactoryhub import FunctionTargetModel

project_id = f"cutback-{getpass.getuser()}"
client = gfh.create_client_from_env(project_id=project_id)
api = client.api()
query = client.query()
utils = client.utils()

Die analysis

You can either trigger analysis automatically by defining it in the design manifest, using the UI or using the Python DoData library.

from gdsfactoryhub.functions.die import cutback_loss

cutback_loss.run?

die_pks = [d["pk"] for d in query.dies().execute().data]
cutback_loss.run(die_pkey=die_pks[0])

png

{'output': {'component_loss': np.float64(0.10753299380599622),
  'insertion_loss': np.float64(6.784093157796774)},
 'summary_plot': <Figure size 640x480 with 0 Axes>,
 'die_pkey': '66ab2c3a-f56e-407a-82e4-703ee367a2b1'}




<Figure size 640x480 with 0 Axes>

with gfh.suppress_api_error():
    result = api.upload_function(
        function_id="cutback_loss",
        target_model="die",
        file=gfh.get_module_path(cutback_loss),
        test_target_model_pk=die_pks[0],
        test_kwargs={},
    )

Duplicate function

results = []
for die_pk in (pb := tqdm(die_pks)):
    pb.set_postfix(die_pk=die_pk)
    result = api.start_analysis(
        analysis_id=f"die-cutback-{die_pk}",
        function_id="cutback_loss",
        target_model=FunctionTargetModel.DIE,
        target_model_pk=die_pk,
        kwargs={},
    )
    results.append(result)

  0%|          | 0/45 [00:00<?, ?it/s]

Let's have a look at the last analysis:

analysis_pks = [r["pk"] for r in results]
utils.analyses().wait_for_completion(pks=analysis_pks)
analyses = query.analyses().in_("pk", analysis_pks).execute().data
succesful_analyses = [a for a in analyses if a["status"] == "COMPLETED"]
analysis = succesful_analyses[-1]
img = api.download_plot(analysis["summary_plot"]["path"])
img.resize((530, 400))

Waiting for analyses:   0%|          | 0/45 [00:00<?, ?it/s]

png

Upload Measurements Wafer Analysis
On This Page