adjusted migration
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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

...

pes

Added extra

...

In / Out Edges Viz, Submitting Button Text

...

Make PES Link clickable

Return proper http response instead of error

Fixed error return, removed unused options

Fix PES Link HTML for other entities

Fixed molfile assignment, adjusted Export

Package Export/Import cycle

highlight Description links

implemented non persistent

Harmonised proposed field in Json output

Added pesLink field to PW Api output

PES Fields in API Output

removed debug

Fix Classification import, Fix PES Deserialization

underline pes link in templates

Fix alter name/desc for node, make /node /edge funcitonal

provide setting link and copy button

Implemented Compound Names / Reaction Names View Option

Unconnected Nodes

Make links thicker, reduce timeout trigger time

Show proposed info in popover

Pathway Build no stereo removal

Include probs in reaction name option viz

Detect clicks outside nodes/edges
This commit is contained in:
Tim Lorsbach
2026-03-06 15:15:08 +01:00
parent 72a63b4876
commit 421d33dddc
76 changed files with 1614124 additions and 2943 deletions

View File

@ -208,6 +208,7 @@ class Group(TimeStampedModel):
name = models.TextField(blank=False, null=False, verbose_name="Group name")
owner = models.ForeignKey("User", verbose_name="Group Owner", on_delete=models.CASCADE)
public = models.BooleanField(verbose_name="Public Group", default=False)
secret = models.BooleanField(verbose_name="Secret Group", default=False)
description = models.TextField(
blank=False, null=False, verbose_name="Descriptions", default="no description"
)
@ -579,6 +580,10 @@ class ReactionIdentifierMixin(ExternalIdentifierMixin):
def get_uniprot_identifiers(self):
return self.get_external_identifier("UniProt")
def contains_pes(self):
from bayer.models import PESStructure
return any([isinstance(o, PESStructure) for o in self.educts.all()]) or any(
[isinstance(o, PESStructure) for o in self.products.all()])
##############
# EP Objects #
@ -894,34 +899,50 @@ class Compound(
if parsed is None:
raise InvalidSMILESException("Given SMILES is invalid")
if name is not None:
# Clean for potential XSS
name = nh3.clean(name, tags=s.ALLOWED_HTML_TAGS).strip()
standardized_smiles = FormatConverter.standardize(smiles, remove_stereo=True)
subclasses = CompoundStructure.__subclasses__()
qs = CompoundStructure.objects.filter(smiles=smiles, compound__package=package)
if subclasses:
qs = qs.not_instance_of(*subclasses)
# Check if we find a direct match for a given SMILES
if CompoundStructure.objects.filter(smiles=smiles, compound__package=package).exists():
return CompoundStructure.objects.get(smiles=smiles, compound__package=package).compound
if qs.exists():
found_structure = qs.first()
found_compound = found_structure.compound
if name:
found_structure.add_alias(name)
found_compound.add_alias(name)
return found_compound
qs = CompoundStructure.objects.filter(smiles=standardized_smiles, compound__package=package)
if subclasses:
qs = qs.not_instance_of(*subclasses)
# Check if we can find the standardized one
if CompoundStructure.objects.filter(
smiles=standardized_smiles, compound__package=package
).exists():
found_c = CompoundStructure.objects.get(
smiles=standardized_smiles, compound__package=package
).compound
if qs.exists():
found_structure = qs.first()
found_compound = found_structure.compound
# As a direct match wasn't found add a new structure
# TODO return newly created structure
_ = found_c.add_structure(smiles, molfile=molfile, name=name, description=description)
# We've only found the normalized one, create the very structure
new_structure = found_compound.add_structure(smiles, molfile=molfile, name=name, description=description)
return found_c
if name:
found_compound.add_alias(name)
return found_compound
# Generate Compound
c = Compound()
c.package = package
if name is not None:
# Clean for potential XSS
name = nh3.clean(name, tags=s.ALLOWED_HTML_TAGS).strip()
if name is None or name == "":
name = f"Compound {Compound.objects.filter(package=package).count() + 1}"
@ -1218,8 +1239,15 @@ class CompoundStructure(
# Overwrite SMILES from molfile
smiles = FormatConverter.to_smiles(mol)
# Clean for potential XSS
if name is not None:
name = nh3.clean(name, tags=s.ALLOWED_HTML_TAGS).strip()
if CompoundStructure.objects.filter(compound=compound, smiles=smiles).exists():
found_cs = CompoundStructure.objects.get(smiles=smiles, compound=compound)
found_cs = CompoundStructure.objects.get(compound=compound, smiles=smiles)
if name:
found_cs.add_alias(name)
if found_cs.molfile is None and (molfile is not None and molfile.strip() != ""):
logger.info(
@ -1234,15 +1262,15 @@ class CompoundStructure(
raise ValueError("Unpersisted Compound! Persist compound first!")
cs = CompoundStructure()
# Clean for potential XSS
if name is not None:
cs.name = nh3.clean(name, tags=s.ALLOWED_HTML_TAGS).strip()
cs.name = name
if description is not None:
cs.description = nh3.clean(description, tags=s.ALLOWED_HTML_TAGS).strip()
cs.compound = compound
cs.smiles = smiles
cs.compound = compound
# Check if molfile is present and valid
if molfile is not None and molfile.strip() != "":
@ -1464,6 +1492,9 @@ class SimpleAmbitRule(SimpleRule):
if not FormatConverter.is_valid_smirks(smirks):
raise ValueError(f'SMIRKS "{smirks}" is invalid!')
if name is not None:
name = nh3.clean(name, tags=s.ALLOWED_HTML_TAGS).strip()
query = SimpleAmbitRule.objects.filter(package=package, smirks=smirks)
if reactant_filter_smarts is not None and reactant_filter_smarts.strip() != "":
@ -1475,14 +1506,17 @@ class SimpleAmbitRule(SimpleRule):
if query.exists():
if query.count() > 1:
logger.error(f"More than one rule matched this one! {query}")
return query.first()
found_rule = query.first()
if name:
found_rule.add_alias(name)
return found_rule
r = SimpleAmbitRule()
r.package = package
if name is not None:
name = nh3.clean(name, tags=s.ALLOWED_HTML_TAGS).strip()
if name is None or name == "":
name = f"Rule {Rule.objects.filter(package=package).count() + 1}"
@ -1730,6 +1764,11 @@ class Reaction(
rules: Union[Rule | List[Rule]] = None,
multi_step: bool = False,
):
# Clean for potential XSS
if name is not None and name.strip() != "":
name = nh3.clean(name, tags=s.ALLOWED_HTML_TAGS).strip()
_educts = []
_products = []
@ -1784,14 +1823,19 @@ class Reaction(
logger.error(
f"Found more than one reaction for given input! {existing_reaction_qs}"
)
return existing_reaction_qs.first()
found_reaction = existing_reaction_qs.first()
if name:
found_reaction.add_alias(name)
return found_reaction
r = Reaction()
r.package = package
# Clean for potential XSS
if name is not None and name.strip() != "":
r.name = nh3.clean(name, tags=s.ALLOWED_HTML_TAGS).strip()
if name is not None:
r.name = name
if description is not None and description.strip() != "":
r.description = nh3.clean(description, tags=s.ALLOWED_HTML_TAGS).strip()
@ -2420,6 +2464,7 @@ class Node(EnviPathModel, AliasMixin, ScenarioMixin, AdditionalInformationMixin)
},
"predicted_properties": predicted_properties,
"is_engineered_intermediate": self.kv.get("is_engineered_intermediate", False),
"proposed": self.is_proposed_intermediate(),
"timeseries": self.get_timeseries_data(),
**structure_data,
}
@ -2508,14 +2553,6 @@ class Node(EnviPathModel, AliasMixin, ScenarioMixin, AdditionalInformationMixin)
return data
def simple_json(self, include_description=False):
res = super().simple_json()
name = res.get("name", None)
if name == "no name":
res["name"] = self.default_node_label.get_name()
return res
def is_proposed_intermediate(self):
collected = defaultdict(dict)
for ai in self.additional_information.filter(
@ -2538,6 +2575,14 @@ class Node(EnviPathModel, AliasMixin, ScenarioMixin, AdditionalInformationMixin)
return list(collected.values())
def simple_json(self, include_description=False):
res = super().simple_json()
name = res.get("name", None)
if name == "no name":
res["name"] = self.default_node_label.get_name()
return res
class Edge(EnviPathModel, AliasMixin, ScenarioMixin, AdditionalInformationMixin):
pathway = models.ForeignKey(