etlup 4.0.5

Test definitions, plotting and documentation for the CMS MTD ETL project

etlup

This project contains code for plotting for CMS MTD ETL project. To install you can do,

pip install etlup

Or if you are developing locally you can clone the repo and cd into it. Then do,

pip install -U -e ./

Plotting

from etlup.tamalero.Noisewidth import NoisewidthV0
from etlup import now_utc
nw = NoisewidthV0(
    user_created = "hayden",
    location = "CERN",
    measurement_date = now_utc(),
    module = "Module 206",
    pos_0 = [[4, 4, 3, 4, 3, 4, 2, 4, 3, 3, 3, 3, 4, 4, 3, 3,],
            [3, 4, 4, 3, 4, 4, 3, 4, 4, 4, 3, 4, 3, 3, 4, 3,],
            [3, 5, 4, 3, 3, 4, 4, 4, 3, 3, 3, 3, 3, 3, 3, 4,],
            [3, 3, 3, 3, 4, 3, 4, 3, 4, 3, 3, 3, 4, 3, 3, 3,],
            [3, 4, 3, 3, 4, 4, 4, 3, 3, 3, 3, 3, 3, 3, 3, 3,],
            [3, 4, 4, 3, 4, 3, 3, 3, 3, 4, 3, 3, 3, 3, 4, 4,],
            [3, 4, 4, 4, 3, 3, 4, 4, 4, 5, 4, 4, 4, 4, 4, 3,],
            [3, 3, 3, 3, 2, 4, 3, 3, 4, 4, 3, 3, 4, 3, 3, 4,],
            [3, 4, 4, 4, 4, 3, 3, 4, 5, 3, 4, 3, 3, 4, 3, 3,],
            [4, 3, 3, 3, 3, 4, 4, 3, 3, 4, 4, 3, 3, 3, 4, 4,],
            [4, 4, 4, 4, 3, 4, 3, 4, 4, 4, 3, 3, 4, 3, 3, 4,],
            [3, 3, 4, 3, 3, 3, 3, 3, 3, 4, 3, 4, 4, 3, 3, 3,],
            [4, 3, 4, 3, 4, 3, 4, 3, 3, 3, 4, 3, 3, 4, 3, 3,],
            [3, 4, 5, 4, 3, 4, 3, 3, 4, 4, 3, 4, 3, 4, 3, 4,],
            [3, 3, 4, 4, 3, 4, 3, 4, 4, 3, 4, 3, 4, 3, 4, 3,],
            [4, 3, 3, 3, 3, 3, 3, 4, 4, 3, 3, 4, 3, 4, 3, 3,]]
    # there are the other three positions you can also give
    # pos_1, pos_2, pos_3
)
fig = nw.plot()
fig.savefig("noisewidth.png")

Uploading to Database

In order for you to upload to the database you will need to create a .env file in the same directory as the script or pass in its path to the Session. Here is an example of a .env file:

API_TOKEN_ENV = "your token goes here"

To upload,

from etlup.tamalero.Noisewidth import NoisewidthV0
from etlup import Session

tests = [
    NoisewidthV0(...),
    ...
]

with Session(prod=True) as sesh:
    sesh.add_all(tests)

    sesh.to_file("baselines.json")
    sesh.upload()