3f5563740b444d0f8eb86f87eb30edc3d0ff9189,workers/data_refinery_workers/processors/qn_reference.py,,_update_experiment_caches,#Any#,213

Before Change

def _update_experiment_caches(job_context: Dict) -> Dict:
     Experiments have a cached value with the number of samples that have QN targets
        generated, this value should be updated after generating new QN targets. 
    unique_experiments = []
    all_samples = job_context["samples"]["ALL"]
    for sample in all_samples:
        if sample.experiments.all().count() > 0:
            unique_experiments = list(set(unique_experiments + sample.experiments.all()[::1]))

    for experiment in unique_experiments:
        experiment.update_num_samples()

After Change

        generated, this value should be updated after generating new QN targets. 
    organism_id = job_context["samples"]["ALL"][0].organism_id
    organism_name = Organism.get_name_for_id(organism_id)
    unique_experiments = Experiments.objects.all().filter(organism_names__contains=organism_name)
    
    for experiment in unique_experiments:
        experiment.update_num_samples()

Instances