HumanBrainProject / HumanBrainProject/hbp-validation-framework
Retrieving model with uuid and alias gives different results
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- Dominant language
- Python
- Stars
- 5
- Forks
- 12
- PR merge metrics
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Description
There are a few minor differences in "description" and "format" (null vs []). The main difference is that the parameters field of the model instance is empty when the model is retrieved via alias.
https://validation.brainsimulation.eu/models/32dc30ba-3de3-4c75-83f7-5c930de346d7
{
"id": "32dc30ba-3de3-4c75-83f7-5c930de346d7",
"uri": "https://kg.ebrains.eu/api/instances/32dc30ba-3de3-4c75-83f7-5c930de346d7",
"name": "Reduced striatum microcircuit",
"alias": "striatum_microcircuit_test",
"author": [
...cut to save space...
],
"owner": [
{
"given_name": "Andrew P.",
"family_name": "Davison",
"orcid": "https://orcid.org/0000-0002-4793-7541"
}
],
"project_id": "basal-ganglia-validation",
"organization": null,
"private": true,
"cell_type": null,
"model_scope": "network: microcircuit",
"abstraction_level": "spiking neurons: biophysical",
"brain_region": "striatum",
"species": "Mus musculus",
"description": "This is a small-scale model of the striatum microcircuit, used only for testing the EBRAINS Model Validation Framework",
"date_created": "2023-06-06",
"format": null,
"images": null,
"old_uuid": null,
"instances": [
{
"id": "82f5a109-7fbc-4070-82b9-155d118ac462",
"uri": "https://kg.ebrains.eu/api/instances/82f5a109-7fbc-4070-82b9-155d118ac462",
"version": "20230606",
"description": "",
"parameters": "https://data-proxy.ebrains.eu/api/v1/buckets/basal-ganglia-validation/model_parameters/striatum_microcircuit_20230606.json",
"code_format": null,
"source": "https://github.com/apdavison/basalunit",
"license": "The 3-Clause BSD License",
"hash": null,
"timestamp": "2023-06-06",
"morphology": null,
"model_id": "32dc30ba-3de3-4c75-83f7-5c930de346d7",
"alternatives": []
}
]
}
https://validation.brainsimulation.eu/models/striatum_microcircuit_test
{
"id": "32dc30ba-3de3-4c75-83f7-5c930de346d7",
"uri": "https://kg.ebrains.eu/api/instances/32dc30ba-3de3-4c75-83f7-5c930de346d7",
"name": "Reduced striatum microcircuit",
"alias": "striatum_microcircuit_test",
"author": [
...cut to save space...
],
"owner": [
{
"given_name": "Andrew P.",
"family_name": "Davison",
"orcid": "https://orcid.org/0000-0002-4793-7541"
}
],
"project_id": "basal-ganglia-validation",
"organization": null,
"private": true,
"cell_type": null,
"model_scope": "network: microcircuit",
"abstraction_level": "spiking neurons: biophysical",
"brain_region": "striatum",
"species": "Mus musculus",
"description": "This is a small-scale model of the striatum microcircuit, used only for testing the EBRAINS Model Validation Framework",
"date_created": "2023-06-06",
"format": [],
"images": null,
"old_uuid": null,
"instances": [
{
"id": "82f5a109-7fbc-4070-82b9-155d118ac462",
"uri": "https://kg.ebrains.eu/api/instances/82f5a109-7fbc-4070-82b9-155d118ac462",
"version": "20230606",
"description": null,
"parameters": null,
"code_format": null,
"source": "https://github.com/apdavison/basalunit",
"license": "The 3-Clause BSD License",
"hash": null,
"timestamp": "2023-06-06",
"morphology": null,
"model_id": "32dc30ba-3de3-4c75-83f7-5c930de346d7",
"alternatives": []
}
]
}
Context:
{
"version": "3beta",
"datastore": "core.kg.ebrains.eu",
"build": {
"git": "8d916b33",
"target": "production",
"date": "2023-05-12T11:22:56+02:00"
}
}
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the responses from the UUID and alias model URLs shown in the issue, then trace the API entry points that retrieve models by each identifier. Compare how description, format, and instance parameters are populated; done means both routes return equivalent model data, with tests covering the two retrieval paths.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- api, backend
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100