jebus/enviPy-bayer
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Code Issues Pull Requests 1 Actions Releases Activity

adjusted migration

Browse Source 
Initial bayer app

Show Pack Classification

Adjusted docker compose to bayer specifics

Adjusted Dockerfile for Bayer

Adding secret flags to group, add secret pools to packages

Adjusted View for Package creation

Prep configs, added Package Create Modal

wip

More on PES

wip

wip

Wip

minor

PW interactions

API PES

wip

Make Select Widget reflect required

make required generallay available

Update UI if pathway mode is set to build

Added ais

circle adjustments

Initial Zoom, fix AD Creation

wip

auth log, bb4g fix

missing import

Added viz hint if PES is part of reaction

Add Edge check for pes

flip boolean

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pes

Added extra

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In / Out Edges Viz, Submitting Button Text

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This commit is contained in:
Tim Lorsbach
2026-03-06 15:15:08 +01:00
parent 9bc9f86ff1
commit 3525621281
73 changed files with 1613945 additions and 2913 deletions
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52
epdb/views.py
View File

@ -389,6 +389,9 @@ def get_base_context(request, for_user=None) -> Dict[str, Any]:
"debug": s.DEBUG,
"external_databases": ExternalDatabase.get_databases(),
"site_id": s.MATOMO_SITE_ID,
# EDIT START
"secret_groups": Group.objects.filter(secret=True),
# EDIT END
},
}
@ -588,10 +591,38 @@ def packages(request):
"package-description", s.DEFAULT_VALUES["description"]
)
# EDIT START
data_pool = None
package_classification = request.POST.get("package-classification")
classification = Package.Classification(int(package_classification))
# For SECRET we'll need a data pool which will be an additional perm check later
if classification == Package.Classification.SECRET:
package_data_pool = request.POST.get("package-data-pool")
if package_data_pool is None:
return error(request, "Invalid data pool.", "Data Pool is required!")
data_pool = GroupManager.get_group_by_url(current_user, package_data_pool)
if data_pool is None:
return error(request, "Invalid data pool.", "Data Pool does not exist or no access!")
if not data_pool.secret:
return error(request, "Invalid data pool.", "Data Pool is not a secret group!")
created_package = PackageManager.create_package(
current_user, package_name, package_description
)
created_package.classification_level = classification
# Set previously determined data pool
if classification == Package.Classification.SECRET:
created_package.data_pool = data_pool
created_package.save()
# EDIT END
return redirect(created_package.url)
elif request.method == "OPTIONS":
@ -775,13 +806,11 @@ def models(request):
}
if s.ENVIFORMER_PRESENT:
context["model_types"]["EnviFormer"] = (
{
"type": "enviformer",
"requires_rule_packages": False,
"requires_data_packages": True,
},
)
context["model_types"]["EnviFormer"] = {
"type": "enviformer",
"requires_rule_packages": False,
"requires_data_packages": True,
}
if s.FLAGS.get("PLUGINS", False):
for k, v in s.CLASSIFIER_PLUGINS.items():
@ -2985,9 +3014,15 @@ def settings(request):
new_default = request.POST.get("prediction-setting-new-default", "off") == "on"
# min 2, max s.DEFAULT_MAX_NUMBER_OF_NODES
temp_max_nodes = request.POST.get("prediction-setting-max-nodes")
if temp_max_nodes is None or temp_max_nodes == "" or int(temp_max_nodes) == -1:
temp_max_nodes = s.DEFAULT_MAX_NUMBER_OF_NODES
else:
temp_max_nodes = int(request.POST.get("prediction-setting-max-nodes", 1))
max_nodes = min(
max(
int(request.POST.get("prediction-setting-max-nodes", 1)),
temp_max_nodes,
2,
),
s.DEFAULT_MAX_NUMBER_OF_NODES,
@ -3008,6 +3043,7 @@ def settings(request):
model_uuid = model_url.split("/")[-1]
params["model"] = EPModel.objects.get(uuid=model_uuid)
# TODO Check if removed if request contains "" or not at all
params["model_threshold"] = request.POST.get(
"model-based-prediction-setting-threshold", s.DEFAULT_MODEL_THRESHOLD
)