jinko-vpop

Jinkō Vpop SDK Workflows

Use this skill for technical vpop and vpop-design workflows through the SDK. Keep distribution guidance minimal; use the allowed distribution shapes in assets/distrib.json and defer deeper distribution design to a dedicated distribution skill when available.

PREREQUISITE: This skill needs an initialized jinko-sdk connection and an SDK satisfying its metadata.requires_sdk range. Run the jinko-sdk-setup skill (../jinko-sdk-setup/SKILL.md) and proceed only once its check passes. If that skill is not found, install it from novainsilico/jinko-skills.

Core Rules

• Use client.create_vpop_from_csv() or client.create_vpop_from_dataframe() for direct vpop upload.
• Use client.create_vpop_design_from_design() for marginal-distribution vpop designs.
• Use design.generate_vpop() to generate an immutable Vpop from a VpopDesign.
• Check design.diagnostics (or design.get_sanity()) before generating, and fix reported errors first.
• Edit an existing design's descriptors/correlations with design.descriptors (create*/set_distribution*) and design.correlations, not by replacing the raw payload.
• Treat Vpop project items as generated/uploaded artifacts that are not edited in place.
• Edit vpop designs, not generated vpops, then regenerate a new vpop.
• Require explicit confirmation or script --apply before creating or updating project items.
• Descriptor IDs in CSV headers and marginal designs must match real model component IDs when the vpop will be used with that model.
• Reject duplicate descriptor IDs in marginal lists; converting duplicates to a mapping would otherwise silently discard earlier entries.
• Log-scale distributions mix two conventions. See "Log-scale distributions" below before you write a LogUniform, LogNormal, or LogNormalTruncated payload.

Project Folder Hygiene

• Prefer creating vpops and vpop designs inside a dedicated Jinkō folder instead of the project root. At the start of a workflow, ask for or propose a folder name, for example YYYY-MM-DD-<experiment-name>.
• Reuse an existing exact-match folder when possible: client.get_folder_by_name(name, exact_match_only=True).
• If the folder does not exist, create it only after user confirmation or when a script is run with --apply.
• Resolve one folder object or folder id, then pass folder=folder to SDK creation calls that support it.

Bundled Assets

• assets/toy_vpop.csv: two-patient vpop CSV using the toy model descriptors Dose and k_elim.
• assets/toy_marginals.json: list-of-marginals vpop design for Dose and k_elim.
• assets/distrib.json: source of truth for admissible marginal distribution shapes.

SDK Scripts

Use scripts rather than embedding long Python examples in chat. These are on PATH as console scripts once the SDK is installed, and also runnable via python -m as shown below.

• jinko.cli.create_vpop_from_csv: uploads a CSV directly, or via pandas DataFrame with --method dataframe.
• jinko.cli.create_vpop_design_from_design: creates a vpop design from a list of unique { "id": ..., "distribution": ... } entries and can optionally generate a vpop after diagnostics pass.
• jinko.cli.inspect_vpop: inspects content, description, or statistics for an existing vpop.
• jinko.cli.edit_vpop_design: updates or adds descriptors sequentially, reports already-applied IDs if a later edit fails, and runs post-edit diagnostics before success.

Examples:

python -m jinko.cli.create_vpop_from_csv --csv skills/jinko-vpop/assets/toy_vpop.csv
python -m jinko.cli.create_vpop_from_csv --csv skills/jinko-vpop/assets/toy_vpop.csv

CSV Upload Pattern

The minimal CSV shape is one row per patient:

Use actual component IDs, not biological labels such as age or weight, when the vpop is meant to drive a model.

Marginal Design Pattern

Use a list of marginal entries in skill assets and scripts:

The script converts this list to the SDK mapping expected by create_vpop_design_from_design(marginal_distributions=...).

Log-scale distributions

assets/distrib.json defines numeric fields but does not describe their scale:

• LogUniform: lowBound and highBound are exponents of base. For a range of approximately 9.5e-8 to 8.55e-7 with base: 10, pass -7.02 and -6.07.
• LogNormal and LogNormalTruncated: mean and stdev are the mean and standard deviation of the base logarithm of the value. With base: 10, mean: -6 gives an untruncated median of 1e-6.
• LogNormalTruncated: posLowBound and posHighBound bound the value itself. For a range of 1e-7 to 1e-5, pass those positive numbers directly.

Value-scale numbers passed as log-scale parameters can produce a Vpop at the wrong order of magnitude without a diagnostic error. After generating a Vpop with a log-scale marginal, read back the descriptor statistics before using it:

Reference Routing

• Read references/csv-vpop.md for direct CSV/DataFrame upload details.
• Read references/vpop-design.md for marginal vpop design and generation details.
• Read assets/distrib.json before adding or changing marginal distribution shapes.