A Python package containing jinko_helpers, jinko_stats, and crabbit modules aimed to be used with Jinko.ai API
Project description
Jinkō Python SDK
Installation
pip install jinko-sdk
Development tests
See tests/README.md.
Configuration
export JINKO_API_KEY="..."
export JINKO_PROJECT_ID="..."
export JINKO_BASE_URL="https://api.jinko.ai" # Already uses this adress by default
These variables can also be set through JinkoClient's init.
Quickstart
from jinko import JinkoClient
client = JinkoClient() # Can receive api key and project id
model = client.models.get("cm-...")
print(model.name)
content = model.content()
trial = client.trials.get("tr-...")
trial.run()
trial.wait_until_completed()
summary = trial.results.summary()
scalars = trial.results.scalars(["AUC", "Cmax"]).to_dataframe()
Model Components API
Model.components is the default ergonomic entrypoint for component edits.
model = client.models.get("cm-...")
# typed read
p = model.components.get_parameter("k_clearance")
# immediate typed update in one API call
p.update(formula="CL / V", unit="L/h")
# staged multi-component edit in one commit
with model.components.batch(version_name="retune") as b:
b.edit_parameter("k_clearance").set_formula("CL2 / V")
b.create_parameter(id="k_new", formula=1.2, unit="1/h")
Low-level escape hatch is still available for advanced/raw payload workflows:
from jinko.openapi_types import Parameter
model = model.edit_components(
add=Parameter(id="k_raw", specifics={"formula": 2.0}),
version_name="raw edit",
)
Versioned resources
By default, the SDK works with the latest version of a resource.
model = client.models.get("cm-...")
To access older versions:
versions = model.versions.list()
old = model.versions.get(revision=3)
To restore an older version as the new latest version:
model.versions.restore(revision=3, version_name="restore baseline")
Project details
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