Prediction App 2024.2 - API updates

1. Baseline scenarios

With the introduction of baseline scenario, API returns also information about baseline and allow API users to filter baseline scenarios when getting list of scenarios. The following endpoints are impacted

• GET /projects/{projectId}/scenarios

• GET /trials/{projectId}/scenarios

• In both case, API users can use an isBaseline boolean query parameter (true/false value) that will filter scenarios based on the isBaseline value

  • Note: Default value (if isBaseline is present) is false

• In both cases, a new argument isBaseline is returned as part of the response (see example)

[
  {
    "id": 0,
    "name": "ABC123456 - Baseline scenario",
    "description": "Baseline scenario for project ABC123456",
    "ownerId": 0,
    "creationDate": "2019-07-24T14:15:22Z",
    "updateDate": "2019-08-01T14:15:22Z",
    "currentVersion": 12,
    "lastPublishedVersion": 10,
    "lastPublishedDate": "2019-08-24T14:15:22Z",
    "isBaseline": true
  }
]

2. Extra scenario results data

To simplify the process of correlating certain detail on the results, some additional measures are available in the project and trial scenario results under the lots details

• For project scenario results

  • sizeAfterSampling → Manufacturing size minus sampling.

  • allocationToClinicalDemands → Quantity allocated to direct demands (i.e. demands consuming the product of this lot) belonging to a clinical study, that is allocated to an IMP packaging release (a lot coming from trial level forecast).

  • allocationToTechnicalDemands → Quantity allocated to direct demands (i.e. demands consuming the product of thi lot) belonging to a non-clinical study,

  • allocationToLots → Quantity allocated to a subsequent lot consuming the product of this lot as input. Subsequent lots do not include IMP lots which are considered as clinical demand, they include lots related to the production stages considered at project level

• For trial scenario results

  • sizeAfterSampling → Manufacturing size minus sampling