...

Fixes #97
Co-authored-by: Tim Lorsbach <tim@lorsba.ch>
Reviewed-on: enviPath/enviPy#177

envipath/settings.py

@@ -52,6 +52,28 @@ INSTALLED_APPS = [
     "migration",
 ]
 
+
+# Add the TENANT providing implementations for
+# Required
+# - Package
+# - Compound (TODO)
+# - CompoundStructure (TODO)
+# Optional
+# - PackageManager (TODO)
+# - GroupManager (TODO)
+# - SettingManager (TODO)
+TENANT = os.environ.get("TENANT", "public")
+INSTALLED_APPS.append(TENANT)
+PACKAGE_IMPLEMENTATION = f"{TENANT}.Package"
+PACKAGE_MODULE_PATH = f"{TENANT}.models.Package"
+
+
+def GET_PACKAGE_MODEL():
+    from django.apps import apps
+
+    return apps.get_model(TENANT, "Package")
+
+
 AUTHENTICATION_BACKENDS = [
     "django.contrib.auth.backends.ModelBackend",
 ]

epdb/admin.py

@@ -1,12 +1,13 @@
 from django.contrib import admin
+from django.conf import settings as s
 
 from .models import (
     User,
     UserPackagePermission,
     Group,
     GroupPackagePermission,
-    Package,
     MLRelativeReasoning,
+    EnviFormer,
     Compound,
     CompoundStructure,
     SimpleAmbitRule,
@@ -19,11 +20,15 @@ from .models import (
     Setting,
     ExternalDatabase,
     ExternalIdentifier,
+    JobLog,
 )
 
 
+Package = s.GET_PACKAGE_MODEL()
+
+
 class UserAdmin(admin.ModelAdmin):
-    pass
+    list_display = ["username", "email", "is_active"]
 
 
 class UserPackagePermissionAdmin(admin.ModelAdmin):
@@ -38,8 +43,14 @@ class GroupPackagePermissionAdmin(admin.ModelAdmin):
     pass
 
 
+class JobLogAdmin(admin.ModelAdmin):
+    pass
+
+
 class EPAdmin(admin.ModelAdmin):
     search_fields = ["name", "description"]
+    list_display = ["name", "url", "created"]
+    ordering = ["-created"]
 
 
 class PackageAdmin(EPAdmin):
@@ -50,6 +61,10 @@ class MLRelativeReasoningAdmin(EPAdmin):
     pass
 
 
+class EnviFormerAdmin(EPAdmin):
+    pass
+
+
 class CompoundAdmin(EPAdmin):
     pass
 
@@ -102,8 +117,10 @@ admin.site.register(User, UserAdmin)
 admin.site.register(UserPackagePermission, UserPackagePermissionAdmin)
 admin.site.register(Group, GroupAdmin)
 admin.site.register(GroupPackagePermission, GroupPackagePermissionAdmin)
+admin.site.register(JobLog, JobLogAdmin)
 admin.site.register(Package, PackageAdmin)
 admin.site.register(MLRelativeReasoning, MLRelativeReasoningAdmin)
+admin.site.register(EnviFormer, EnviFormerAdmin)
 admin.site.register(Compound, CompoundAdmin)
 admin.site.register(CompoundStructure, CompoundStructureAdmin)
 admin.site.register(SimpleAmbitRule, SimpleAmbitRuleAdmin)

epdb/legacy_api.py

@@ -1,5 +1,6 @@
 from typing import List, Dict, Optional, Any
 
+from django.conf import settings as s
 from django.contrib.auth import get_user_model
 from django.http import HttpResponse
 from django.shortcuts import redirect
@@ -10,7 +11,6 @@ from .logic import PackageManager, UserManager, SettingManager
 from .models import (
     Compound,
     CompoundStructure,
-    Package,
     User,
     UserPackagePermission,
     Rule,
@@ -23,6 +23,9 @@ from .models import (
 )
 
 
+Package = s.GET_PACKAGE_MODEL()
+
+
 def _anonymous_or_real(request):
     if request.user.is_authenticated and not request.user.is_anonymous:
         return request.user

epdb/logic.py

@@ -11,7 +11,6 @@ from pydantic import ValidationError
 
 from epdb.models import (
     User,
-    Package,
     UserPackagePermission,
     GroupPackagePermission,
     Permission,
@@ -33,6 +32,8 @@ from utilities.misc import PackageImporter, PackageExporter
 
 logger = logging.getLogger(__name__)
 
+Package = s.GET_PACKAGE_MODEL()
+
 
 class EPDBURLParser:
     UUID_PATTERN = r"[a-f0-9]{8}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{12}"

epdb/management/commands/create_ml_models.py

@@ -2,15 +2,18 @@ from django.conf import settings as s
 from django.core.management.base import BaseCommand
 from django.db import transaction
 
-from epdb.models import MLRelativeReasoning, EnviFormer, Package
+from epdb.models import EnviFormer, MLRelativeReasoning
+
+Package = s.GET_PACKAGE_MODEL()
 
 
 class Command(BaseCommand):
     """This command can be run with
-    `python manage.py create_ml_models [model_names] -d [data_packages] OPTIONAL: -e [eval_packages]`
+    `python manage.py create_ml_models [model_names] -d [data_packages] FOR MLRR ONLY: -r [rule_packages]
-    For example, to train both EnviFormer and MLRelativeReasoning on BBD and SOIL and evaluate them on SLUDGE
+                                        OPTIONAL: -e [eval_packages] -t threshold`
-    the below command would be used:
+    For example, to train both EnviFormer and MLRelativeReasoning on BBD and SOIL and evaluate them on SLUDGE with a
-    `python manage.py create_ml_models enviformer mlrr -d bbd soil -e sludge
+    threshold of 0.6, the below command would be used:
+    `python manage.py create_ml_models enviformer mlrr -d bbd soil -e sludge -t 0.6
     """
 
     def add_arguments(self, parser):
@@ -34,6 +37,13 @@ class Command(BaseCommand):
             help="Rule Packages mandatory for MLRR",
             default=[],
         )
+        parser.add_argument(
+            "-t",
+            "--threshold",
+            type=float,
+            help="Model prediction threshold",
+            default=0.5,
+        )
 
     @transaction.atomic
     def handle(self, *args, **options):
@@ -67,7 +77,13 @@ class Command(BaseCommand):
             return packages
 
         # Iteratively create models in options["model_names"]
-        print(f"Creating models: {options['model_names']}")
+        print(
+            f"Creating models: {options['model_names']}\n"
+            f"Data packages: {options['data_packages']}\n"
+            f"Rule Packages (only for MLRR): {options['rule_packages']}\n"
+            f"Eval Packages: {options['eval_packages']}\n"
+            f"Threshold: {options['threshold']:.2f}"
+        )
         data_packages = decode_packages(options["data_packages"])
         eval_packages = decode_packages(options["eval_packages"])
         rule_packages = decode_packages(options["rule_packages"])
@@ -78,9 +94,10 @@ class Command(BaseCommand):
                     pack,
                     data_packages=data_packages,
                     eval_packages=eval_packages,
-                    threshold=0.5,
+                    threshold=options["threshold"],
-                    name="EnviFormer - T0.5",
+                    name=f"EnviFormer - {', '.join(options['data_packages'])} - T{options['threshold']:.2f}",
-                    description="EnviFormer transformer",
+                    description=f"EnviFormer transformer trained on {options['data_packages']} "
+                    f"evaluated on {options['eval_packages']}.",
                 )
             elif model_name == "mlrr":
                 model = MLRelativeReasoning.create(
@@ -88,9 +105,10 @@ class Command(BaseCommand):
                     rule_packages=rule_packages,
                     data_packages=data_packages,
                     eval_packages=eval_packages,
-                    threshold=0.5,
+                    threshold=options["threshold"],
-                    name="ECC - BBD - T0.5",
+                    name=f"ECC - {', '.join(options['data_packages'])} - T{options['threshold']:.2f}",
-                    description="ML Relative Reasoning",
+                    description=f"ML Relative Reasoning trained on {options['data_packages']} with rules from "
+                    f"{options['rule_packages']} and evaluated on {options['eval_packages']}.",
                 )
             else:
                 raise ValueError(f"Cannot create model of type {model_name}, unknown model type")
@@ -100,6 +118,6 @@ class Command(BaseCommand):
             print(f"Training {model_name}")
             model.build_model()
             print(f"Evaluating {model_name}")
-            model.evaluate_model()
+            model.evaluate_model(False, eval_packages=eval_packages)
             print(f"Saving {model_name}")
             model.save()

epdb/management/commands/dump_enviformer.py

@@ -0,0 +1,59 @@
+import json
+import os
+import tarfile
+from tempfile import TemporaryDirectory
+
+from django.conf import settings as s
+from django.core.management.base import BaseCommand
+from django.db import transaction
+
+from epdb.models import EnviFormer
+
+
+class Command(BaseCommand):
+    def add_arguments(self, parser):
+        parser.add_argument(
+            "model",
+            type=str,
+            help="Model UUID of the Model to Dump",
+        )
+        parser.add_argument("--output", type=str)
+
+    def package_dict_and_folder(self, dict_data, folder_path, output_path):
+        with TemporaryDirectory() as tmpdir:
+            dict_filename = os.path.join(tmpdir, "data.json")
+
+            with open(dict_filename, "w", encoding="utf-8") as f:
+                json.dump(dict_data, f, indent=2)
+
+            with tarfile.open(output_path, "w:gz") as tar:
+                tar.add(dict_filename, arcname="data.json")
+                tar.add(folder_path, arcname=os.path.basename(folder_path))
+
+            os.remove(dict_filename)
+
+    @transaction.atomic
+    def handle(self, *args, **options):
+        output = options["output"]
+
+        if os.path.exists(output):
+            raise ValueError(f"Output file {output} already exists")
+
+        model = EnviFormer.objects.get(uuid=options["model"])
+
+        data = {
+            "uuid": str(model.uuid),
+            "name": model.name,
+            "description": model.description,
+            "kv": model.kv,
+            "data_packages_uuids": [str(p.uuid) for p in model.data_packages.all()],
+            "eval_packages_uuids": [str(p.uuid) for p in model.data_packages.all()],
+            "threshold": model.threshold,
+            "eval_results": model.eval_results,
+            "multigen_eval": model.multigen_eval,
+            "model_status": model.model_status,
+        }
+
+        model_folder = os.path.join(s.MODEL_DIR, "enviformer", str(model.uuid))
+
+        self.package_dict_and_folder(data, model_folder, output)

epdb/management/commands/load_enviformer.py

@@ -0,0 +1,83 @@
+import json
+import os
+import shutil
+import tarfile
+from tempfile import TemporaryDirectory
+
+from django.conf import settings as s
+from django.core.management.base import BaseCommand
+from django.db import transaction
+
+from epdb.models import EnviFormer
+
+Package = s.GET_PACKAGE_MODEL()
+
+
+class Command(BaseCommand):
+    def add_arguments(self, parser):
+        parser.add_argument(
+            "input",
+            type=str,
+            help=".tar.gz file containing the Model dump.",
+        )
+        parser.add_argument(
+            "package",
+            type=str,
+            help="Package UUID where the Model should be loaded to.",
+        )
+
+    def read_dict_and_folder_from_archive(self, archive_path, extract_to="extracted_folder"):
+        with tarfile.open(archive_path, "r:gz") as tar:
+            tar.extractall(extract_to)
+
+            dict_path = os.path.join(extract_to, "data.json")
+
+            if not os.path.exists(dict_path):
+                raise FileNotFoundError("data.json not found in the archive.")
+
+            with open(dict_path, "r", encoding="utf-8") as f:
+                data_dict = json.load(f)
+
+            extracted_items = os.listdir(extract_to)
+            folders = [item for item in extracted_items if item != "data.json"]
+            folder_path = os.path.join(extract_to, folders[0]) if folders else None
+
+        return data_dict, folder_path
+
+    @transaction.atomic
+    def handle(self, *args, **options):
+        if not os.path.exists(options["input"]):
+            raise ValueError(f"Input file {options['input']} does not exist.")
+
+        target_package = Package.objects.get(uuid=options["package"])
+
+        with TemporaryDirectory() as tmpdir:
+            data, folder = self.read_dict_and_folder_from_archive(options["input"], tmpdir)
+
+            model = EnviFormer()
+            model.package = target_package
+            # model.uuid = data["uuid"]
+            model.name = data["name"]
+            model.description = data["description"]
+            model.kv = data["kv"]
+            model.threshold = float(data["threshold"])
+            model.eval_results = data["eval_results"]
+            model.multigen_eval = data["multigen_eval"]
+            model.model_status = data["model_status"]
+            model.save()
+
+            for p_uuid in data["data_packages_uuids"]:
+                p = Package.objects.get(uuid=p_uuid)
+                model.data_packages.add(p)
+
+            for p_uuid in data["eval_packages_uuids"]:
+                p = Package.objects.get(uuid=p_uuid)
+                model.eval_packages.add(p)
+
+            target_folder = os.path.join(s.MODEL_DIR, "enviformer", str(model.uuid))
+
+            shutil.copytree(folder, target_folder)
+            os.rename(
+                os.path.join(s.MODEL_DIR, "enviformer", str(model.uuid), f"{data['uuid']}.ckpt"),
+                os.path.join(s.MODEL_DIR, "enviformer", str(model.uuid), f"{model.uuid}.ckpt"),
+            )

epdb/management/commands/localize_urls.py

@@ -1,8 +1,8 @@
 from django.apps import apps
+from django.conf import settings as s
 from django.core.management.base import BaseCommand
-
+from django.db.models import F, JSONField, TextField, Value
-from django.db.models import F, Value, TextField, JSONField
+from django.db.models.functions import Cast, Replace
-from django.db.models.functions import Replace, Cast
 
 from epdb.models import EnviPathModel
 
@@ -23,10 +23,13 @@ class Command(BaseCommand):
         )
 
     def handle(self, *args, **options):
+        Package = s.GET_PACKAGE_MODEL()
+        print("Localizing urls for Package")
+        Package.objects.update(url=Replace(F("url"), Value(options["old"]), Value(options["new"])))
+
         MODELS = [
             "User",
             "Group",
-            "Package",
             "Compound",
             "CompoundStructure",
             "Pathway",

epdb/management/commands/update_job_logs.py

@@ -0,0 +1,38 @@
+from datetime import date, timedelta
+
+from django.core.management.base import BaseCommand
+from django.db import transaction
+
+from epdb.models import JobLog
+
+
+class Command(BaseCommand):
+    def add_arguments(self, parser):
+        parser.add_argument(
+            "--cleanup",
+            type=int,
+            default=None,
+            help="Remove all logs older than this number of days. Default is None, which does not remove any logs.",
+        )
+
+    @transaction.atomic
+    def handle(self, *args, **options):
+        if options["cleanup"] is not None:
+            cleanup_dt = date.today() - timedelta(days=options["cleanup"])
+            print(JobLog.objects.filter(created__lt=cleanup_dt).delete())
+
+        logs = JobLog.objects.filter(status="INITIAL")
+        print(f"Found {logs.count()} logs to update")
+        updated = 0
+        for log in logs:
+            res = log.check_for_update()
+            if res:
+                updated += 1
+
+        print(f"Updated {updated} logs")
+
+        from django.db.models import Count
+
+        qs = JobLog.objects.values("status").annotate(total=Count("status"))
+        for r in qs:
+            print(r["status"], r["total"])

epdb/migrations/0009_joblog.py

@@ -0,0 +1,66 @@
+# Generated by Django 5.2.7 on 2025-10-27 09:39
+
+import django.db.models.deletion
+import django.utils.timezone
+import model_utils.fields
+from django.conf import settings
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+    dependencies = [
+        ("epdb", "0008_enzymelink"),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name="JobLog",
+            fields=[
+                (
+                    "id",
+                    models.BigAutoField(
+                        auto_created=True, primary_key=True, serialize=False, verbose_name="ID"
+                    ),
+                ),
+                (
+                    "created",
+                    model_utils.fields.AutoCreatedField(
+                        default=django.utils.timezone.now, editable=False, verbose_name="created"
+                    ),
+                ),
+                (
+                    "modified",
+                    model_utils.fields.AutoLastModifiedField(
+                        default=django.utils.timezone.now, editable=False, verbose_name="modified"
+                    ),
+                ),
+                ("task_id", models.UUIDField(unique=True)),
+                ("job_name", models.TextField()),
+                (
+                    "status",
+                    models.CharField(
+                        choices=[
+                            ("INITIAL", "Initial"),
+                            ("SUCCESS", "Success"),
+                            ("FAILURE", "Failure"),
+                            ("REVOKED", "Revoked"),
+                            ("IGNORED", "Ignored"),
+                        ],
+                        default="INITIAL",
+                        max_length=20,
+                    ),
+                ),
+                ("done_at", models.DateTimeField(blank=True, default=None, null=True)),
+                ("task_result", models.TextField(blank=True, default=None, null=True)),
+                (
+                    "user",
+                    models.ForeignKey(
+                        on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL
+                    ),
+                ),
+            ],
+            options={
+                "abstract": False,
+            },
+        ),
+    ]

epdb/migrations/0010_alter_userpackagepermission_package_and_more.py

@@ -0,0 +1,190 @@
+# Generated by Django 5.2.7 on 2025-10-29 13:32
+
+import django.db.models.deletion
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+    dependencies = [
+        ("epdb", "0009_joblog"),
+        ("public", "0001_initial"),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name="userpackagepermission",
+            name="package",
+            field=models.ForeignKey(
+                on_delete=django.db.models.deletion.CASCADE,
+                to="public.package",
+                verbose_name="Permission on",
+            ),
+        ),
+        migrations.AlterField(
+            model_name="grouppackagepermission",
+            name="package",
+            field=models.ForeignKey(
+                on_delete=django.db.models.deletion.CASCADE,
+                to="public.package",
+                verbose_name="Permission on",
+            ),
+        ),
+        migrations.AlterField(
+            model_name="epmodel",
+            name="package",
+            field=models.ForeignKey(
+                on_delete=django.db.models.deletion.CASCADE,
+                to="public.package",
+                verbose_name="Package",
+            ),
+        ),
+        migrations.AlterField(
+            model_name="rule",
+            name="package",
+            field=models.ForeignKey(
+                on_delete=django.db.models.deletion.CASCADE,
+                to="public.package",
+                verbose_name="Package",
+            ),
+        ),
+        migrations.AlterField(
+            model_name="compound",
+            name="package",
+            field=models.ForeignKey(
+                on_delete=django.db.models.deletion.CASCADE,
+                to="public.package",
+                verbose_name="Package",
+            ),
+        ),
+        migrations.AlterField(
+            model_name="scenario",
+            name="package",
+            field=models.ForeignKey(
+                on_delete=django.db.models.deletion.CASCADE,
+                to="public.package",
+                verbose_name="Package",
+            ),
+        ),
+        migrations.AlterField(
+            model_name="pathway",
+            name="package",
+            field=models.ForeignKey(
+                on_delete=django.db.models.deletion.CASCADE,
+                to="public.package",
+                verbose_name="Package",
+            ),
+        ),
+        migrations.AlterField(
+            model_name="reaction",
+            name="package",
+            field=models.ForeignKey(
+                on_delete=django.db.models.deletion.CASCADE,
+                to="public.package",
+                verbose_name="Package",
+            ),
+        ),
+        migrations.AlterField(
+            model_name="user",
+            name="default_package",
+            field=models.ForeignKey(
+                null=True,
+                on_delete=django.db.models.deletion.SET_NULL,
+                to="public.package",
+                verbose_name="Default Package",
+            ),
+        ),
+        migrations.AlterField(
+            model_name="enviformer",
+            name="data_packages",
+            field=models.ManyToManyField(
+                related_name="%(app_label)s_%(class)s_data_packages",
+                to="public.package",
+                verbose_name="Data Packages",
+            ),
+        ),
+        migrations.AlterField(
+            model_name="enviformer",
+            name="eval_packages",
+            field=models.ManyToManyField(
+                related_name="%(app_label)s_%(class)s_eval_packages",
+                to="public.package",
+                verbose_name="Evaluation Packages",
+            ),
+        ),
+        migrations.AlterField(
+            model_name="enviformer",
+            name="rule_packages",
+            field=models.ManyToManyField(
+                related_name="%(app_label)s_%(class)s_rule_packages",
+                to="public.package",
+                verbose_name="Rule Packages",
+            ),
+        ),
+        migrations.AlterField(
+            model_name="mlrelativereasoning",
+            name="data_packages",
+            field=models.ManyToManyField(
+                related_name="%(app_label)s_%(class)s_data_packages",
+                to="public.package",
+                verbose_name="Data Packages",
+            ),
+        ),
+        migrations.AlterField(
+            model_name="mlrelativereasoning",
+            name="eval_packages",
+            field=models.ManyToManyField(
+                related_name="%(app_label)s_%(class)s_eval_packages",
+                to="public.package",
+                verbose_name="Evaluation Packages",
+            ),
+        ),
+        migrations.AlterField(
+            model_name="mlrelativereasoning",
+            name="rule_packages",
+            field=models.ManyToManyField(
+                related_name="%(app_label)s_%(class)s_rule_packages",
+                to="public.package",
+                verbose_name="Rule Packages",
+            ),
+        ),
+        migrations.AlterField(
+            model_name="rulebasedrelativereasoning",
+            name="data_packages",
+            field=models.ManyToManyField(
+                related_name="%(app_label)s_%(class)s_data_packages",
+                to="public.package",
+                verbose_name="Data Packages",
+            ),
+        ),
+        migrations.AlterField(
+            model_name="rulebasedrelativereasoning",
+            name="eval_packages",
+            field=models.ManyToManyField(
+                related_name="%(app_label)s_%(class)s_eval_packages",
+                to="public.package",
+                verbose_name="Evaluation Packages",
+            ),
+        ),
+        migrations.AlterField(
+            model_name="rulebasedrelativereasoning",
+            name="rule_packages",
+            field=models.ManyToManyField(
+                related_name="%(app_label)s_%(class)s_rule_packages",
+                to="public.package",
+                verbose_name="Rule Packages",
+            ),
+        ),
+        migrations.AlterField(
+            model_name="setting",
+            name="rule_packages",
+            field=models.ManyToManyField(
+                blank=True,
+                related_name="setting_rule_packages",
+                to="public.package",
+                verbose_name="Setting Rule Packages",
+            ),
+        ),
+        migrations.DeleteModel(
+            name="Package",
+        ),
+    ]

epdb/models.py

@@ -7,7 +7,7 @@ import secrets
 from abc import abstractmethod
 from collections import defaultdict
 from datetime import datetime
-from typing import Union, List, Optional, Dict, Tuple, Set, Any
+from typing import Union, List, Optional, Dict, Tuple, Set, Any, TYPE_CHECKING
 from uuid import uuid4
 import math
 import joblib
@@ -32,6 +32,8 @@ from utilities.ml import Dataset, ApplicabilityDomainPCA, EnsembleClassifierChai
 
 logger = logging.getLogger(__name__)
 
+if TYPE_CHECKING:
+    Package = s.GET_PACKAGE_MODEL()
 
 ##########################
 # User/Groups/Permission #
@@ -45,7 +47,10 @@ class User(AbstractUser):
     )
     url = models.TextField(blank=False, null=True, verbose_name="URL", unique=True)
     default_package = models.ForeignKey(
-        "epdb.Package", verbose_name="Default Package", null=True, on_delete=models.SET_NULL
+        s.PACKAGE_IMPLEMENTATION,
+        verbose_name="Default Package",
+        null=True,
+        on_delete=models.SET_NULL,
     )
     default_group = models.ForeignKey(
         "Group",
@@ -235,7 +240,7 @@ class UserPackagePermission(Permission):
     )
     user = models.ForeignKey("User", verbose_name="Permission to", on_delete=models.CASCADE)
     package = models.ForeignKey(
-        "epdb.Package", verbose_name="Permission on", on_delete=models.CASCADE
+        s.PACKAGE_IMPLEMENTATION, verbose_name="Permission on", on_delete=models.CASCADE
     )
 
     class Meta:
@@ -251,7 +256,7 @@ class GroupPackagePermission(Permission):
     )
     group = models.ForeignKey("Group", verbose_name="Permission to", on_delete=models.CASCADE)
     package = models.ForeignKey(
-        "epdb.Package", verbose_name="Permission on", on_delete=models.CASCADE
+        s.PACKAGE_IMPLEMENTATION, verbose_name="Permission on", on_delete=models.CASCADE
     )
 
     class Meta:
@@ -310,7 +315,7 @@ class ExternalDatabase(TimeStampedModel):
                 },
                 {
                     "database": ExternalDatabase.objects.get(name="ChEBI"),
-                    "placeholder": "ChEBI ID without prefix e.g. 12345",
+                    "placeholder": "ChEBI ID without prefix e.g. 10576",
                 },
             ],
             "structure": [
@@ -328,7 +333,7 @@ class ExternalDatabase(TimeStampedModel):
                 },
                 {
                     "database": ExternalDatabase.objects.get(name="ChEBI"),
-                    "placeholder": "ChEBI ID without prefix e.g. 12345",
+                    "placeholder": "ChEBI ID without prefix e.g. 10576",
                 },
             ],
             "reaction": [
@@ -342,7 +347,7 @@ class ExternalDatabase(TimeStampedModel):
                 },
                 {
                     "database": ExternalDatabase.objects.get(name="UniProt"),
-                    "placeholder": "Query ID for UniPro e.g. rhea:12345",
+                    "placeholder": "Query ID for UniProt e.g. rhea:12345",
                 },
             ],
         }
@@ -477,7 +482,7 @@ class ChemicalIdentifierMixin(ExternalIdentifierMixin):
         return self.add_external_identifier("CAS", cas_number)
 
     def get_pubchem_identifiers(self):
-        return self.get_external_identifier("PubChem Compound") or self.get_external_identifier(
+        return self.get_external_identifier("PubChem Compound") | self.get_external_identifier(
             "PubChem Substance"
         )
 
@@ -651,7 +656,7 @@ class License(models.Model):
     image_link = models.URLField(blank=False, null=False, verbose_name="Image link")
 
 
-class Package(EnviPathModel):
+class AbstractPackage(EnviPathModel):
     reviewed = models.BooleanField(verbose_name="Reviewstatus", default=False)
     license = models.ForeignKey(
         "epdb.License", on_delete=models.SET_NULL, blank=True, null=True, verbose_name="License"
@@ -719,10 +724,13 @@ class Package(EnviPathModel):
         rules = sorted(rules, key=lambda x: x.url)
         return rules
 
+    class Meta:
+        abstract = True
+
 
 class Compound(EnviPathModel, AliasMixin, ScenarioMixin, ChemicalIdentifierMixin):
     package = models.ForeignKey(
-        "epdb.Package", verbose_name="Package", on_delete=models.CASCADE, db_index=True
+        s.PACKAGE_IMPLEMENTATION, verbose_name="Package", on_delete=models.CASCADE, db_index=True
     )
     default_structure = models.ForeignKey(
         "CompoundStructure",
@@ -772,7 +780,7 @@ class Compound(EnviPathModel, AliasMixin, ScenarioMixin, ChemicalIdentifierMixin
     @staticmethod
     @transaction.atomic
     def create(
-        package: Package, smiles: str, name: str = None, description: str = None, *args, **kwargs
+        package: "Package", smiles: str, name: str = None, description: str = None, *args, **kwargs
     ) -> "Compound":
         if smiles is None or smiles.strip() == "":
             raise ValueError("SMILES is required")
@@ -1050,7 +1058,7 @@ class EnzymeLink(EnviPathModel, KEGGIdentifierMixin):
 
 class Rule(PolymorphicModel, EnviPathModel, AliasMixin, ScenarioMixin):
     package = models.ForeignKey(
-        "epdb.Package", verbose_name="Package", on_delete=models.CASCADE, db_index=True
+        s.PACKAGE_IMPLEMENTATION, verbose_name="Package", on_delete=models.CASCADE, db_index=True
     )
 
     # # https://github.com/django-polymorphic/django-polymorphic/issues/229
@@ -1156,7 +1164,7 @@ class SimpleAmbitRule(SimpleRule):
     @staticmethod
     @transaction.atomic
     def create(
-        package: Package,
+        package: "Package",
         name: str = None,
         description: str = None,
         smirks: str = None,
@@ -1222,6 +1230,7 @@ class SimpleAmbitRule(SimpleRule):
 
     @property
     def related_reactions(self):
+        Package = s.GET_PACKAGE_MODEL()
         qs = Package.objects.filter(reviewed=True)
         return self.reaction_rule.filter(package__in=qs).order_by("name")
 
@@ -1314,7 +1323,7 @@ class SequentialRuleOrdering(models.Model):
 
 class Reaction(EnviPathModel, AliasMixin, ScenarioMixin, ReactionIdentifierMixin):
     package = models.ForeignKey(
-        "epdb.Package", verbose_name="Package", on_delete=models.CASCADE, db_index=True
+        s.PACKAGE_IMPLEMENTATION, verbose_name="Package", on_delete=models.CASCADE, db_index=True
     )
     educts = models.ManyToManyField(
         "epdb.CompoundStructure", verbose_name="Educts", related_name="reaction_educts"
@@ -1336,7 +1345,7 @@ class Reaction(EnviPathModel, AliasMixin, ScenarioMixin, ReactionIdentifierMixin
     @staticmethod
     @transaction.atomic
     def create(
-        package: Package,
+        package: "Package",
         name: str = None,
         description: str = None,
         educts: Union[List[str], List[CompoundStructure]] = None,
@@ -1496,7 +1505,7 @@ class Reaction(EnviPathModel, AliasMixin, ScenarioMixin, ReactionIdentifierMixin
 
 class Pathway(EnviPathModel, AliasMixin, ScenarioMixin):
     package = models.ForeignKey(
-        "epdb.Package", verbose_name="Package", on_delete=models.CASCADE, db_index=True
+        s.PACKAGE_IMPLEMENTATION, verbose_name="Package", on_delete=models.CASCADE, db_index=True
     )
     setting = models.ForeignKey(
         "epdb.Setting", verbose_name="Setting", on_delete=models.CASCADE, null=True, blank=True
@@ -2052,7 +2061,7 @@ class Edge(EnviPathModel, AliasMixin, ScenarioMixin):
 
 class EPModel(PolymorphicModel, EnviPathModel):
     package = models.ForeignKey(
-        "epdb.Package", verbose_name="Package", on_delete=models.CASCADE, db_index=True
+        s.PACKAGE_IMPLEMENTATION, verbose_name="Package", on_delete=models.CASCADE, db_index=True
     )
 
     def _url(self):
@@ -2061,17 +2070,17 @@ class EPModel(PolymorphicModel, EnviPathModel):
 
 class PackageBasedModel(EPModel):
     rule_packages = models.ManyToManyField(
-        "Package",
+        s.PACKAGE_IMPLEMENTATION,
         verbose_name="Rule Packages",
         related_name="%(app_label)s_%(class)s_rule_packages",
     )
     data_packages = models.ManyToManyField(
-        "Package",
+        s.PACKAGE_IMPLEMENTATION,
         verbose_name="Data Packages",
         related_name="%(app_label)s_%(class)s_data_packages",
     )
     eval_packages = models.ManyToManyField(
-        "Package",
+        s.PACKAGE_IMPLEMENTATION,
         verbose_name="Evaluation Packages",
         related_name="%(app_label)s_%(class)s_eval_packages",
     )
@@ -2225,10 +2234,18 @@ class PackageBasedModel(EPModel):
         self.model_status = self.BUILT_NOT_EVALUATED
         self.save()
 
-    def evaluate_model(self):
+    def evaluate_model(self, multigen: bool, eval_packages: List["Package"] = None):
         if self.model_status != self.BUILT_NOT_EVALUATED:
             raise ValueError(f"Can't evaluate a model in state {self.model_status}!")
 
+        if multigen:
+            self.multigen_eval = multigen
+            self.save()
+
+        if eval_packages is not None:
+            for p in eval_packages:
+                self.eval_packages.add(p)
+
         self.model_status = self.EVALUATING
         self.save()
 
@@ -2525,7 +2542,6 @@ class RuleBasedRelativeReasoning(PackageBasedModel):
         package: "Package",
         rule_packages: List["Package"],
         data_packages: List["Package"],
-        eval_packages: List["Package"],
         threshold: float = 0.5,
         min_count: int = 10,
         max_count: int = 0,
@@ -2574,10 +2590,6 @@ class RuleBasedRelativeReasoning(PackageBasedModel):
             for p in rule_packages:
                 rbrr.data_packages.add(p)
 
-        if eval_packages:
-            for p in eval_packages:
-                rbrr.eval_packages.add(p)
-
         rbrr.save()
 
         return rbrr
@@ -2632,7 +2644,6 @@ class MLRelativeReasoning(PackageBasedModel):
         package: "Package",
         rule_packages: List["Package"],
         data_packages: List["Package"],
-        eval_packages: List["Package"],
         threshold: float = 0.5,
         name: "str" = None,
         description: str = None,
@@ -2672,10 +2683,6 @@ class MLRelativeReasoning(PackageBasedModel):
             for p in rule_packages:
                 mlrr.data_packages.add(p)
 
-        if eval_packages:
-            for p in eval_packages:
-                mlrr.eval_packages.add(p)
-
         if build_app_domain:
             ad = ApplicabilityDomain.create(
                 mlrr,
@@ -2995,7 +3002,6 @@ class EnviFormer(PackageBasedModel):
     def create(
         package: "Package",
         data_packages: List["Package"],
-        eval_packages: List["Package"],
         threshold: float = 0.5,
         name: "str" = None,
         description: str = None,
@@ -3028,10 +3034,6 @@ class EnviFormer(PackageBasedModel):
         for p in data_packages:
             mod.data_packages.add(p)
 
-        if eval_packages:
-            for p in eval_packages:
-                mod.eval_packages.add(p)
-
         # if build_app_domain:
         #     ad = ApplicabilityDomain.create(mod, app_domain_num_neighbours, app_domain_reliability_threshold,
         #                                     app_domain_local_compatibility_threshold)
@@ -3045,7 +3047,8 @@ class EnviFormer(PackageBasedModel):
         from enviformer import load
 
         ckpt = os.path.join(s.MODEL_DIR, "enviformer", str(self.uuid), f"{self.uuid}.ckpt")
-        return load(device=s.ENVIFORMER_DEVICE, ckpt_path=ckpt)
+        mod = load(device=s.ENVIFORMER_DEVICE, ckpt_path=ckpt)
+        return mod
 
     def predict(self, smiles) -> List["PredictionResult"]:
         return self.predict_batch([smiles])[0]
@@ -3059,8 +3062,12 @@ class EnviFormer(PackageBasedModel):
             for smiles in smiles_list
         ]
         logger.info(f"Submitting {canon_smiles} to {self.name}")
+        start = datetime.now()
         products_list = self.model.predict_batch(canon_smiles)
-        logger.info(f"Got results {products_list}")
+        end = datetime.now()
+        logger.info(
+            f"Prediction took {(end - start).total_seconds():.2f} seconds. Got results {products_list}"
+        )
 
         results = []
         for products in products_list:
@@ -3087,6 +3094,7 @@ class EnviFormer(PackageBasedModel):
 
         start = datetime.now()
         # Standardise reactions for the training data, EnviFormer ignores stereochemistry currently
+        co2 = {"C(=O)=O", "O=C=O"}
         ds = []
         for reaction in self._get_reactions():
             educts = ".".join(
@@ -3101,6 +3109,7 @@ class EnviFormer(PackageBasedModel):
                     for smile in reaction.products.all()
                 ]
             )
+            if products not in co2:
                 ds.append(f"{educts}>>{products}")
 
         end = datetime.now()
@@ -3137,10 +3146,18 @@ class EnviFormer(PackageBasedModel):
         args = {"clz": "EnviFormer"}
         return args
 
-    def evaluate_model(self):
+    def evaluate_model(self, multigen: bool, eval_packages: List["Package"] = None):
         if self.model_status != self.BUILT_NOT_EVALUATED:
             raise ValueError(f"Can't evaluate a model in state {self.model_status}!")
 
+        if multigen:
+            self.multigen_eval = multigen
+            self.save()
+
+        if eval_packages is not None:
+            for p in eval_packages:
+                self.eval_packages.add(p)
+
         self.model_status = self.EVALUATING
         self.save()
 
@@ -3297,7 +3314,7 @@ class EnviFormer(PackageBasedModel):
 
             ds = self.load_dataset()
             n_splits = 20
-            shuff = ShuffleSplit(n_splits=n_splits, test_size=0.25, random_state=42)
+            shuff = ShuffleSplit(n_splits=n_splits, test_size=0.1, random_state=42)
 
             # Single gen eval is done in one loop of train then evaluate rather than storing all n_splits trained models
             # this helps reduce the memory footprint.
@@ -3365,7 +3382,7 @@ class EnviFormer(PackageBasedModel):
                 # Compute splits of the collected pathway and evaluate. Like single gen we train and evaluate in each
                 # iteration instead of storing all trained models.
                 for split_id, (train, test) in enumerate(
-                    ShuffleSplit(n_splits=n_splits, test_size=0.25, random_state=42).split(pathways)
+                    ShuffleSplit(n_splits=n_splits, test_size=0.1, random_state=42).split(pathways)
                 ):
                     train_pathways = [pathways[i] for i in train]
                     test_pathways = [pathways[i] for i in test]
@@ -3431,7 +3448,7 @@ class PluginModel(EPModel):
 
 class Scenario(EnviPathModel):
     package = models.ForeignKey(
-        "epdb.Package", verbose_name="Package", on_delete=models.CASCADE, db_index=True
+        s.PACKAGE_IMPLEMENTATION, verbose_name="Package", on_delete=models.CASCADE, db_index=True
     )
     scenario_date = models.CharField(max_length=256, null=False, blank=False, default="No date")
     scenario_type = models.CharField(
@@ -3582,7 +3599,7 @@ class Setting(EnviPathModel):
     )
 
     rule_packages = models.ManyToManyField(
-        "Package",
+        s.PACKAGE_IMPLEMENTATION,
         verbose_name="Setting Rule Packages",
         related_name="setting_rule_packages",
         blank=True,
@@ -3664,3 +3681,53 @@ class Setting(EnviPathModel):
             self.public = True
         self.global_default = True
         self.save()
+
+
+class JobLogStatus(models.TextChoices):
+    INITIAL = "INITIAL", "Initial"
+    SUCCESS = "SUCCESS", "Success"
+    FAILURE = "FAILURE", "Failure"
+    REVOKED = "REVOKED", "Revoked"
+    IGNORED = "IGNORED", "Ignored"
+
+
+class JobLog(TimeStampedModel):
+    user = models.ForeignKey("epdb.User", models.CASCADE)
+    task_id = models.UUIDField(unique=True)
+    job_name = models.TextField(null=False, blank=False)
+    status = models.CharField(
+        max_length=20,
+        choices=JobLogStatus.choices,
+        default=JobLogStatus.INITIAL,
+    )
+
+    done_at = models.DateTimeField(null=True, blank=True, default=None)
+    task_result = models.TextField(null=True, blank=True, default=None)
+
+    def check_for_update(self):
+        async_res = self.get_result()
+        new_status = async_res.state
+
+        TERMINAL_STATES = [
+            "SUCCESS",
+            "FAILURE",
+            "REVOKED",
+            "IGNORED",
+        ]
+
+        if new_status != self.status and new_status in TERMINAL_STATES:
+            self.status = new_status
+            self.done_at = async_res.date_done
+
+            if new_status == "SUCCESS":
+                self.task_result = async_res.result
+
+            self.save()
+
+            return True
+        return False
+
+    def get_result(self):
+        from celery.result import AsyncResult
+
+        return AsyncResult(str(self.task_id))

epdb/tasks.py

@@ -1,12 +1,61 @@
+import csv
+import io
 import logging
-from typing import Optional
+from datetime import datetime
+from typing import Any, Callable, List, Optional
+from uuid import uuid4
 
 from celery import shared_task
-from epdb.models import Pathway, Node, EPModel, Setting
+from celery.utils.functional import LRUCache
-from epdb.logic import SPathway
+from django.conf import settings as s
 
+from epdb.logic import SPathway
+from epdb.models import Edge, EPModel, JobLog, Node, Pathway, Rule, Setting, User
+
+Package = s.GET_PACKAGE_MODEL()
 
 logger = logging.getLogger(__name__)
+ML_CACHE = LRUCache(3)  # Cache the three most recent ML models to reduce load times.
+
+
+def get_ml_model(model_pk: int):
+    if model_pk not in ML_CACHE:
+        ML_CACHE[model_pk] = EPModel.objects.get(id=model_pk)
+    return ML_CACHE[model_pk]
+
+
+def dispatch_eager(user: "User", job: Callable, *args, **kwargs):
+    try:
+        x = job(*args, **kwargs)
+        log = JobLog()
+        log.user = user
+        log.task_id = uuid4()
+        log.job_name = job.__name__
+        log.status = "SUCCESS"
+        log.done_at = datetime.now()
+        log.task_result = str(x) if x else None
+        log.save()
+
+        return x
+    except Exception as e:
+        logger.exception(e)
+        raise e
+
+
+def dispatch(user: "User", job: Callable, *args, **kwargs):
+    try:
+        x = job.delay(*args, **kwargs)
+        log = JobLog()
+        log.user = user
+        log.task_id = x.task_id
+        log.job_name = job.__name__
+        log.status = "INITIAL"
+        log.save()
+
+        return x.result
+    except Exception as e:
+        logger.exception(e)
+        raise e
 
 
 @shared_task(queue="background")
@@ -16,7 +65,7 @@ def mul(a, b):
 
 @shared_task(queue="predict")
 def predict_simple(model_pk: int, smiles: str):
-    mod = EPModel.objects.get(id=model_pk)
+    mod = get_ml_model(model_pk)
     res = mod.predict(smiles)
     return res
 
@@ -26,17 +75,55 @@ def send_registration_mail(user_pk: int):
     pass
 
 
-@shared_task(queue="model")
+@shared_task(bind=True, queue="model")
-def build_model(model_pk: int):
+def build_model(self, model_pk: int):
     mod = EPModel.objects.get(id=model_pk)
+
+    if JobLog.objects.filter(task_id=self.request.id).exists():
+        JobLog.objects.filter(task_id=self.request.id).update(status="RUNNING", task_result=mod.url)
+
+    try:
         mod.build_dataset()
         mod.build_model()
+    except Exception as e:
+        if JobLog.objects.filter(task_id=self.request.id).exists():
+            JobLog.objects.filter(task_id=self.request.id).update(
+                status="FAILED", task_result=mod.url
+            )
+
+        raise e
+
+    if JobLog.objects.filter(task_id=self.request.id).exists():
+        JobLog.objects.filter(task_id=self.request.id).update(status="SUCCESS", task_result=mod.url)
+
+    return mod.url
 
 
-@shared_task(queue="model")
+@shared_task(bind=True, queue="model")
-def evaluate_model(model_pk: int):
+def evaluate_model(self, model_pk: int, multigen: bool, package_pks: Optional[list] = None):
+    packages = None
+
+    if package_pks:
+        packages = Package.objects.filter(pk__in=package_pks)
+
     mod = EPModel.objects.get(id=model_pk)
-    mod.evaluate_model()
+    if JobLog.objects.filter(task_id=self.request.id).exists():
+        JobLog.objects.filter(task_id=self.request.id).update(status="RUNNING", task_result=mod.url)
+
+    try:
+        mod.evaluate_model(multigen, eval_packages=packages)
+    except Exception as e:
+        if JobLog.objects.filter(task_id=self.request.id).exists():
+            JobLog.objects.filter(task_id=self.request.id).update(
+                status="FAILED", task_result=mod.url
+            )
+
+        raise e
+
+    if JobLog.objects.filter(task_id=self.request.id).exists():
+        JobLog.objects.filter(task_id=self.request.id).update(status="SUCCESS", task_result=mod.url)
+
+    return mod.url
 
 
 @shared_task(queue="model")
@@ -45,16 +132,26 @@ def retrain(model_pk: int):
     mod.retrain()
 
 
-@shared_task(queue="predict")
+@shared_task(bind=True, queue="predict")
 def predict(
-    pw_pk: int, pred_setting_pk: int, limit: Optional[int] = None, node_pk: Optional[int] = None
+    self,
+    pw_pk: int,
+    pred_setting_pk: int,
+    limit: Optional[int] = None,
+    node_pk: Optional[int] = None,
 ) -> Pathway:
     pw = Pathway.objects.get(id=pw_pk)
     setting = Setting.objects.get(id=pred_setting_pk)
+    # If the setting has a model add/restore it from the cache
+    if setting.model is not None:
+        setting.model = get_ml_model(setting.model.pk)
 
     pw.kv.update(**{"status": "running"})
     pw.save()
 
+    if JobLog.objects.filter(task_id=self.request.id).exists():
+        JobLog.objects.filter(task_id=self.request.id).update(status="RUNNING", task_result=pw.url)
+
     try:
         # regular prediction
         if limit is not None:
@@ -79,7 +176,111 @@ def predict(
     except Exception as e:
         pw.kv.update({"status": "failed"})
         pw.save()
+
+        if JobLog.objects.filter(task_id=self.request.id).exists():
+            JobLog.objects.filter(task_id=self.request.id).update(
+                status="FAILED", task_result=pw.url
+            )
+
         raise e
 
     pw.kv.update(**{"status": "completed"})
     pw.save()
+
+    if JobLog.objects.filter(task_id=self.request.id).exists():
+        JobLog.objects.filter(task_id=self.request.id).update(status="SUCCESS", task_result=pw.url)
+
+    return pw.url
+
+
+@shared_task(bind=True, queue="background")
+def identify_missing_rules(
+    self,
+    pw_pks: List[int],
+    rule_package_pk: int,
+):
+    from utilities.misc import PathwayUtils
+
+    rules = Package.objects.get(pk=rule_package_pk).get_applicable_rules()
+
+    rows: List[Any] = []
+    header = [
+        "Package Name",
+        "Pathway Name",
+        "Educt Name",
+        "Educt SMILES",
+        "Reaction Name",
+        "Reaction SMIRKS",
+        "Triggered Rules",
+        "Reactant SMARTS",
+        "Product SMARTS",
+        "Product Names",
+        "Product SMILES",
+    ]
+
+    rows.append(header)
+
+    for pw in Pathway.objects.filter(pk__in=pw_pks):
+        pu = PathwayUtils(pw)
+
+        missing_rules = pu.find_missing_rules(rules)
+
+        package_name = pw.package.name
+        pathway_name = pw.name
+
+        for edge_url, rule_chain in missing_rules.items():
+            row: List[Any] = [package_name, pathway_name]
+            edge = Edge.objects.get(url=edge_url)
+            educts = edge.start_nodes.all()
+
+            for educt in educts:
+                row.append(educt.default_node_label.name)
+                row.append(educt.default_node_label.smiles)
+
+            row.append(edge.edge_label.name)
+            row.append(edge.edge_label.smirks())
+
+            rule_names = []
+            reactant_smarts = []
+            product_smarts = []
+
+            for r in rule_chain:
+                r = Rule.objects.get(url=r[0])
+                rule_names.append(r.name)
+
+                rs = r.reactants_smarts
+                if isinstance(rs, set):
+                    rs = list(rs)
+
+                ps = r.products_smarts
+                if isinstance(ps, set):
+                    ps = list(ps)
+
+                reactant_smarts.append(rs)
+                product_smarts.append(ps)
+
+            row.append(rule_names)
+            row.append(reactant_smarts)
+            row.append(product_smarts)
+
+            products = edge.end_nodes.all()
+            product_names = []
+            product_smiles = []
+
+            for product in products:
+                product_names.append(product.default_node_label.name)
+                product_smiles.append(product.default_node_label.smiles)
+
+            row.append(product_names)
+            row.append(product_smiles)
+
+            rows.append(row)
+
+    buffer = io.StringIO()
+
+    writer = csv.writer(buffer)
+    writer.writerows(rows)
+
+    buffer.seek(0)
+
+    return buffer.getvalue()

epdb/templatetags/envipytags.py

@@ -1,8 +1,21 @@
 from django import template
+from pydantic import AnyHttpUrl, ValidationError
+from pydantic.type_adapter import TypeAdapter
 
 register = template.Library()
 
+url_adapter = TypeAdapter(AnyHttpUrl)
+
 
 @register.filter
 def classname(obj):
     return obj.__class__.__name__
+
+
+@register.filter
+def is_url(value):
+    try:
+        url_adapter.validate_python(value)
+        return True
+    except ValidationError:
+        return False

epdb/urls.py

@@ -190,6 +190,7 @@ urlpatterns = [
     re_path(r"^indigo/dearomatize$", v.dearomatize, name="indigo_dearomatize"),
     re_path(r"^indigo/layout$", v.layout, name="indigo_layout"),
     re_path(r"^depict$", v.depict, name="depict"),
+    re_path(r"^jobs", v.jobs, name="jobs"),
     # OAuth Stuff
     path("o/userinfo/", v.userinfo, name="oauth_userinfo"),
 ]

epdb/views.py

@@ -1,11 +1,11 @@
 import json
 import logging
-from typing import List, Dict, Any
+from typing import Any, Dict, List
 
 from django.conf import settings as s
 from django.contrib.auth import get_user_model
-from django.http import JsonResponse, HttpResponse, HttpResponseNotAllowed, HttpResponseBadRequest
+from django.http import HttpResponse, HttpResponseBadRequest, HttpResponseNotAllowed, JsonResponse
-from django.shortcuts import render, redirect
+from django.shortcuts import redirect, render
 from django.urls import reverse
 from django.views.decorators.csrf import csrf_exempt
 from envipy_additional_information import NAME_MAPPING
@@ -14,41 +14,43 @@ from oauth2_provider.decorators import protected_resource
 from utilities.chem import FormatConverter, IndigoUtils
 from utilities.decorators import package_permission_required
 from utilities.misc import HTMLGenerator
+
 from .logic import (
+    EPDBURLParser,
     GroupManager,
     PackageManager,
-    UserManager,
-    SettingManager,
     SearchManager,
-    EPDBURLParser,
+    SettingManager,
+    UserManager,
 )
 from .models import (
-    Package,
+    APIToken,
-    GroupPackagePermission,
-    Group,
-    CompoundStructure,
     Compound,
+    CompoundStructure,
+    Edge,
+    EnviFormer,
+    EnzymeLink,
+    EPModel,
+    ExternalDatabase,
+    ExternalIdentifier,
+    Group,
+    GroupPackagePermission,
+    JobLog,
+    License,
+    MLRelativeReasoning,
+    Node,
+    Pathway,
+    Permission,
     Reaction,
     Rule,
-    Pathway,
-    Node,
-    EPModel,
-    EnviFormer,
-    MLRelativeReasoning,
     RuleBasedRelativeReasoning,
     Scenario,
     SimpleAmbitRule,
-    APIToken,
-    UserPackagePermission,
-    Permission,
-    License,
     User,
-    Edge,
+    UserPackagePermission,
-    ExternalDatabase,
-    ExternalIdentifier,
-    EnzymeLink,
 )
 
+Package = s.GET_PACKAGE_MODEL()
 logger = logging.getLogger(__name__)
 
 
@@ -81,8 +83,7 @@ def login(request):
         return render(request, "static/login.html", context)
 
     elif request.method == "POST":
-        from django.contrib.auth import authenticate
+        from django.contrib.auth import authenticate, login
-        from django.contrib.auth import login
 
         username = request.POST.get("username")
         password = request.POST.get("password")
@@ -754,8 +755,8 @@ def package_models(request, package_uuid):
         context["unreviewed_objects"] = unreviewed_model_qs
 
         context["model_types"] = {
-            "ML Relative Reasoning": "ml-relative-reasoning",
+            "ML Relative Reasoning": "mlrr",
-            "Rule Based Relative Reasoning": "rule-based-relative-reasoning",
+            "Rule Based Relative Reasoning": "rbrr",
         }
 
         if s.FLAGS.get("ENVIFORMER", False):
@@ -775,48 +776,40 @@ def package_models(request, package_uuid):
 
         model_type = request.POST.get("model-type")
 
-        if model_type == "enviformer":
-            threshold = float(request.POST.get(f"{model_type}-threshold", 0.5))
-
-            mod = EnviFormer.create(current_package, name, description, threshold)
-
-        elif model_type == "ml-relative-reasoning" or model_type == "rule-based-relative-reasoning":
         # Generic fields for ML and Rule Based
-            rule_packages = request.POST.getlist("package-based-relative-reasoning-rule-packages")
+        rule_packages = request.POST.getlist("model-rule-packages")
-            data_packages = request.POST.getlist("package-based-relative-reasoning-data-packages")
+        data_packages = request.POST.getlist("model-data-packages")
-            eval_packages = request.POST.getlist(
-                "package-based-relative-reasoning-evaluation-packages", []
-            )
 
         # Generic params
         params = {
             "package": current_package,
             "name": name,
             "description": description,
-                "rule_packages": [
-                    PackageManager.get_package_by_url(current_user, p) for p in rule_packages
-                ],
             "data_packages": [
                 PackageManager.get_package_by_url(current_user, p) for p in data_packages
             ],
-                "eval_packages": [
-                    PackageManager.get_package_by_url(current_user, p) for p in eval_packages
-                ],
         }
 
-            if model_type == "ml-relative-reasoning":
+        if model_type == "enviformer":
+            threshold = float(request.POST.get("model-threshold", 0.5))
+            params["threshold"] = threshold
+
+            mod = EnviFormer.create(**params)
+        elif model_type == "mlrr":
             # ML Specific
-                threshold = float(request.POST.get(f"{model_type}-threshold", 0.5))
+            threshold = float(request.POST.get("model-threshold", 0.5))
             # TODO handle additional fingerprinter
-                # fingerprinter = request.POST.get(f"{model_type}-fingerprinter")
+            # fingerprinter = request.POST.get("model-fingerprinter")
+
+            params["rule_packages"] = [
+                PackageManager.get_package_by_url(current_user, p) for p in rule_packages
+            ]
 
             # App Domain related parameters
             build_ad = request.POST.get("build-app-domain", False) == "on"
             num_neighbors = request.POST.get("num-neighbors", 5)
             reliability_threshold = request.POST.get("reliability-threshold", 0.5)
-                local_compatibility_threshold = request.POST.get(
+            local_compatibility_threshold = request.POST.get("local-compatibility-threshold", 0.5)
-                    "local-compatibility-threshold", 0.5
-                )
 
             params["threshold"] = threshold
             # params['fingerprinter'] = fingerprinter
@@ -826,18 +819,24 @@ def package_models(request, package_uuid):
             params["app_domain_local_compatibility_threshold"] = local_compatibility_threshold
 
             mod = MLRelativeReasoning.create(**params)
-            else:
+        elif model_type == "rbrr":
+            params["rule_packages"] = [
+                PackageManager.get_package_by_url(current_user, p) for p in rule_packages
+            ]
+
             mod = RuleBasedRelativeReasoning.create(**params)
-
+        elif s.FLAGS.get("PLUGINS", False) and model_type in s.CLASSIFIER_PLUGINS.values():
-            from .tasks import build_model
+            pass
-
-            build_model.delay(mod.pk)
         else:
             return error(
                 request, "Invalid model type.", f'Model type "{model_type}" is not supported."'
             )
-        return redirect(mod.url)
 
+        from .tasks import build_model, dispatch
+
+        dispatch(current_user, build_model, mod.pk)
+
+        return redirect(mod.url)
     else:
         return HttpResponseNotAllowed(["GET", "POST"])
 
@@ -865,6 +864,10 @@ def package_model(request, package_uuid, model_uuid):
                 return JsonResponse({"error": f'"{smiles}" is not a valid SMILES'}, status=400)
 
             if classify:
+                from epdb.tasks import dispatch_eager, predict_simple
+
+                res = dispatch_eager(current_user, predict_simple, current_model.pk, stand_smiles)
+
                 pred_res = current_model.predict(stand_smiles)
                 res = []
 
@@ -909,9 +912,25 @@ def package_model(request, package_uuid, model_uuid):
                 current_model.delete()
                 return redirect(current_package.url + "/model")
             elif hidden == "evaluate":
-                from .tasks import evaluate_model
+                from .tasks import dispatch, evaluate_model
+
+                eval_type = request.POST.get("model-evaluation-type")
+
+                if eval_type not in ["sg", "mg"]:
+                    return error(
+                        request,
+                        "Invalid evaluation type",
+                        f'Evaluation type "{eval_type}" is not supported. Only "sg" and "mg" are supported.',
+                    )
+
+                multigen = eval_type == "mg"
+
+                eval_packages = request.POST.getlist("model-evaluation-packages")
+                eval_package_ids = [
+                    PackageManager.get_package_by_url(current_user, p).id for p in eval_packages
+                ]
+                dispatch(current_user, evaluate_model, current_model.pk, multigen, eval_package_ids)
 
-                evaluate_model.delay(current_model.pk)
                 return redirect(current_model.url)
             else:
                 return HttpResponseBadRequest()
@@ -1251,7 +1270,16 @@ def package_compound_structures(request, package_uuid, compound_uuid):
         structure_smiles = request.POST.get("structure-smiles")
         structure_description = request.POST.get("structure-description")
 
-        cs = current_compound.add_structure(structure_smiles, structure_name, structure_description)
+        try:
+            cs = current_compound.add_structure(
+                structure_smiles, structure_name, structure_description
+            )
+        except ValueError:
+            return error(
+                request,
+                "Adding structure failed!",
+                "The structure could not be added as normalized structures don't match!",
+            )
 
         return redirect(cs.url)
 
@@ -1800,9 +1828,9 @@ def package_pathways(request, package_uuid):
             pw.setting = prediction_setting
             pw.save()
 
-            from .tasks import predict
+            from .tasks import dispatch, predict
 
-            predict.delay(pw.pk, prediction_setting.pk, limit=limit)
+            dispatch(current_user, predict, pw.pk, prediction_setting.pk, limit=limit)
 
         return redirect(pw.url)
 
@@ -1838,6 +1866,25 @@ def package_pathway(request, package_uuid, pathway_uuid):
 
             return response
 
+        if (
+            request.GET.get("identify-missing-rules", False) == "true"
+            and request.GET.get("rule-package") is not None
+        ):
+            from .tasks import dispatch_eager, identify_missing_rules
+
+            rule_package = PackageManager.get_package_by_url(
+                current_user, request.GET.get("rule-package")
+            )
+            res = dispatch_eager(
+                current_user, identify_missing_rules, [current_pathway.pk], rule_package.pk
+            )
+
+            filename = f"{current_pathway.name.replace(' ', '_')}_{current_pathway.uuid}.csv"
+            response = HttpResponse(res, content_type="text/csv")
+            response["Content-Disposition"] = f'attachment; filename="{filename}"'
+
+            return response
+
         # Pathway d3_json() relies on a lot of related objects (Nodes, Structures, Edges, Reaction, Rules, ...)
         # we will again fetch the current pathway identified by this url, but this time together with nearly all
         # related objects
@@ -1921,10 +1968,16 @@ def package_pathway(request, package_uuid, pathway_uuid):
         if node_url:
             n = current_pathway.get_node(node_url)
 
-            from .tasks import predict
+            from .tasks import dispatch, predict
+
+            dispatch(
+                current_user,
+                predict,
+                current_pathway.pk,
+                current_pathway.setting.pk,
+                node_pk=n.pk,
+            )
 
-            # Dont delay?
-            predict(current_pathway.pk, current_pathway.setting.pk, node_pk=n.pk)
             return JsonResponse({"success": current_pathway.url})
 
         return HttpResponseBadRequest()
@@ -2272,9 +2325,9 @@ def package_scenarios(request, package_uuid):
         context["unreviewed_objects"] = unreviewed_scenario_qs
 
         from envipy_additional_information import (
+            SEDIMENT_ADDITIONAL_INFORMATION,
             SLUDGE_ADDITIONAL_INFORMATION,
             SOIL_ADDITIONAL_INFORMATION,
-            SEDIMENT_ADDITIONAL_INFORMATION,
         )
 
         context["scenario_types"] = {
@@ -2696,6 +2749,24 @@ def setting(request, setting_uuid):
     pass
 
 
+def jobs(request):
+    current_user = _anonymous_or_real(request)
+    context = get_base_context(request)
+
+    if request.method == "GET":
+        context["object_type"] = "joblog"
+        context["breadcrumbs"] = [
+            {"Home": s.SERVER_URL},
+            {"Jobs": s.SERVER_URL + "/jobs"},
+        ]
+        if current_user.is_superuser:
+            context["jobs"] = JobLog.objects.all().order_by("-created")
+        else:
+            context["jobs"] = JobLog.objects.filter(user=current_user).order_by("-created")
+
+        return render(request, "collections/joblog.html", context)
+
+
 ###########
 # KETCHER #
 ###########

migration/views.py

@@ -1,22 +1,19 @@
-import gzip
 import json
 import logging
 import os.path
-from datetime import datetime
 
 from django.conf import settings as s
 from django.http import HttpResponseNotAllowed
 from django.shortcuts import render
-
-from epdb.logic import PackageManager
-from epdb.models import Rule, SimpleAmbitRule, Package, CompoundStructure
-from epdb.views import get_base_context, _anonymous_or_real
-from utilities.chem import FormatConverter
-
-
 from rdkit import Chem
 from rdkit.Chem.MolStandardize import rdMolStandardize
 
+from epdb.models import CompoundStructure, Rule, SimpleAmbitRule
+from epdb.views import get_base_context
+from utilities.chem import FormatConverter
+
+Package = s.GET_PACKAGE_MODEL()
+
 logger = logging.getLogger(__name__)
 
 
@@ -59,9 +56,7 @@ def run_both_engines(SMILES, SMIRKS):
         set(
             [
                 normalize_smiles(str(x))
-                for x in FormatConverter.sanitize_smiles(
+                for x in FormatConverter.sanitize_smiles([str(s) for s in all_rdkit_prods])[0]
-                    [str(s) for s in all_rdkit_prods]
-                )[0]
             ]
         )
     )
@@ -85,8 +80,7 @@ def migration(request):
                 url="http://localhost:8000/package/32de3cf4-e3e6-4168-956e-32fa5ddb0ce1"
             )
             ALL_SMILES = [
-                cs.smiles
+                cs.smiles for cs in CompoundStructure.objects.filter(compound__package=BBD)
-                for cs in CompoundStructure.objects.filter(compound__package=BBD)
             ]
             RULES = SimpleAmbitRule.objects.filter(package=BBD)
 
@@ -142,9 +136,7 @@ def migration(request):
             )
 
         for r in migration_status["results"]:
-            r["detail_url"] = r["detail_url"].replace(
+            r["detail_url"] = r["detail_url"].replace("http://localhost:8000", s.SERVER_URL)
-                "http://localhost:8000", s.SERVER_URL
-            )
 
         context.update(**migration_status)
 
@@ -152,8 +144,6 @@ def migration(request):
 
 
 def migration_detail(request, package_uuid, rule_uuid):
-    current_user = _anonymous_or_real(request)
-
     if request.method == "GET":
         context = get_base_context(request)
 
@@ -235,9 +225,7 @@ def compare(request):
         context["smirks"] = (
             "[#1,#6:6][#7;X3;!$(NC1CC1)!$([N][C]=O)!$([!#8]CNC=O):1]([#1,#6:7])[#6;A;X4:2][H:3]>>[#1,#6:6][#7;X3:1]([#1,#6:7])[H:3].[#6;A:2]=O"
         )
-        context["smiles"] = (
+        context["smiles"] = "C(CC(=O)N[C@@H](CS[Se-])C(=O)NCC(=O)[O-])[C@@H](C(=O)[O-])N"
-            "C(CC(=O)N[C@@H](CS[Se-])C(=O)NCC(=O)[O-])[C@@H](C(=O)[O-])N"
-        )
         return render(request, "compare.html", context)
 
     elif request.method == "POST":

public/admin.py

@@ -0,0 +1 @@
+# Register your models here.

public/apps.py

@@ -0,0 +1,6 @@
+from django.apps import AppConfig
+
+
+class PublicConfig(AppConfig):
+    default_auto_field = "django.db.models.BigAutoField"
+    name = "public"

public/migrations/0001_initial.py

@@ -0,0 +1,56 @@
+# Generated by Django 5.2.7 on 2025-10-29 13:32
+
+import django.utils.timezone
+import model_utils.fields
+import uuid
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+    initial = True
+
+    dependencies = []
+
+    operations = [
+        migrations.CreateModel(
+            name="Package",
+            fields=[
+                (
+                    "id",
+                    models.BigAutoField(
+                        auto_created=True, primary_key=True, serialize=False, verbose_name="ID"
+                    ),
+                ),
+                (
+                    "created",
+                    model_utils.fields.AutoCreatedField(
+                        default=django.utils.timezone.now, editable=False, verbose_name="created"
+                    ),
+                ),
+                (
+                    "modified",
+                    model_utils.fields.AutoLastModifiedField(
+                        default=django.utils.timezone.now, editable=False, verbose_name="modified"
+                    ),
+                ),
+                (
+                    "uuid",
+                    models.UUIDField(
+                        default=uuid.uuid4, unique=True, verbose_name="UUID of this object"
+                    ),
+                ),
+                ("name", models.TextField(default="no name", verbose_name="Name")),
+                (
+                    "description",
+                    models.TextField(default="no description", verbose_name="Descriptions"),
+                ),
+                ("url", models.TextField(null=True, unique=True, verbose_name="URL")),
+                ("kv", models.JSONField(blank=True, default=dict, null=True)),
+                ("reviewed", models.BooleanField(default=False, verbose_name="Reviewstatus")),
+            ],
+            options={
+                "db_table": "epdb_package",
+                "managed": False,
+            },
+        ),
+    ]

public/migrations/0002_alter_package_options.py

@@ -0,0 +1,16 @@
+# Generated by Django 5.2.7 on 2025-10-29 18:39
+
+from django.db import migrations
+
+
+class Migration(migrations.Migration):
+    dependencies = [
+        ("public", "0001_initial"),
+    ]
+
+    operations = [
+        migrations.AlterModelOptions(
+            name="package",
+            options={},
+        ),
+    ]

public/migrations/0003_package_license.py

@@ -0,0 +1,25 @@
+# Generated by Django 5.2.7 on 2025-10-29 18:40
+
+import django.db.models.deletion
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+    dependencies = [
+        ("epdb", "0010_alter_userpackagepermission_package_and_more"),
+        ("public", "0002_alter_package_options"),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name="package",
+            name="license",
+            field=models.ForeignKey(
+                blank=True,
+                null=True,
+                on_delete=django.db.models.deletion.SET_NULL,
+                to="epdb.license",
+                verbose_name="License",
+            ),
+        ),
+    ]

public/models.py

@@ -0,0 +1,6 @@
+from epdb.models import AbstractPackage
+
+
+class Package(AbstractPackage):
+    class Meta:
+        db_table = "epdb_package"

public/tests.py

@@ -0,0 +1 @@
+# Create your tests here.

public/views.py

@@ -0,0 +1 @@
+# Create your views here.

templates/actions/objects/pathway.html

@@ -22,6 +22,10 @@
             <i class="glyphicon glyphicon-floppy-save"></i> Download Pathway as Image</a>
     </li>
 {% if meta.can_edit %}
+    <li>
+        <a class="button" data-toggle="modal" data-target="#identify_missing_rules_modal">
+            <i class="glyphicon glyphicon-question-sign"></i> Identify Missing Rules</a>
+    </li>
     <li role="separator" class="divider"></li>
     <li>
         <a class="button" data-toggle="modal" data-target="#edit_pathway_modal">

templates/collections/joblog.html

@@ -0,0 +1,71 @@
+{% extends "framework.html" %}
+{% load static %}
+{% load envipytags %}
+{% block content %}
+
+    <div class="panel-group" id="reviewListAccordion">
+        <div class="panel panel-default">
+            <div class="panel-heading" id="headingPanel" style="font-size:2rem;height: 46px">
+                Jobs
+            </div>
+            <div class="panel-body">
+                <p>
+                    Job Logs Desc
+                </p>
+
+            </div>
+
+            <div class="panel panel-default panel-heading list-group-item" style="background-color:silver">
+                <h4 class="panel-title">
+                    <a id="job-accordion-link" data-toggle="collapse" data-parent="#job-accordion" href="#jobs">
+                        Jobs
+                    </a>
+                </h4>
+            </div>
+            <div id="jobs"
+                 class="panel-collapse collapse in">
+                <div class="panel-body list-group-item" id="job-content">
+                    <table class="table table-bordered table-hover">
+                        <tr style="background-color: rgba(0, 0, 0, 0.08);">
+                            <th scope="col">ID</th>
+                            <th scope="col">Name</th>
+                            <th scope="col">Status</th>
+                            <th scope="col">Queued</th>
+                            <th scope="col">Done</th>
+                            <th scope="col">Result</th>
+                        </tr>
+                        <tbody>
+                        {% for job in jobs %}
+                            <tr>
+                                <td>{{ job.task_id }}</td>
+                                <td>{{ job.job_name }}</td>
+                                <td>{{ job.status }}</td>
+                                <td>{{ job.created }}</td>
+                                <td>{{ job.done_at }}</td>
+                                {% if job.task_result and job.task_result|is_url == True %}
+                                    <td><a href="{{ job.task_result }}">Result</a></td>
+                                {% elif job.task_result %}
+                                    <td>{{ job.task_result|slice:"40" }}...</td>
+                                {% else %}
+                                    <td>Empty</td>
+                                {% endif %}
+                            </tr>
+                        {% endfor %}
+                        </tbody>
+                    </table>
+                </div>
+            </div>
+
+            <!-- Unreviewable objects such as User / Group / Setting -->
+            <ul class='list-group'>
+                {% for obj in objects %}
+                    {% if object_type == 'user' %}
+                        <a class="list-group-item" href="{{ obj.url }}">{{ obj.username }}</a>
+                    {% else %}
+                        <a class="list-group-item" href="{{ obj.url }}">{{ obj.name }}</a>
+                    {% endif %}
+                {% endfor %}
+            </ul>
+        </div>
+    </div>
+{% endblock content %}

templates/modals/collections/new_model_modal.html

@@ -18,13 +18,19 @@
                         prediction. You just need to set a name and the packages
                         you want the object to be based on. There are multiple types of models available.
                         For additional information have a look at our
-                        <a target="_blank" href="https://wiki.envipath.org/index.php/relative-reasoning" role="button">wiki &gt;&gt;</a>
+                        <a target="_blank" href="https://wiki.envipath.org/index.php/relative-reasoning" role="button">wiki
+                            &gt;&gt;</a>
                     </div>
+                    <!-- Name -->
                     <label for="model-name">Name</label>
                     <input id="model-name" name="model-name" class="form-control" placeholder="Name"/>
+
+                    <!-- Description -->
                     <label for="model-description">Description</label>
                     <input id="model-description" name="model-description" class="form-control"
                            placeholder="Description"/>
+
+                    <!-- Model Type -->
                     <label for="model-type">Model Type</label>
                     <select id="model-type" name="model-type" class="form-control" data-width='100%'>
                         <option disabled selected>Select Model Type</option>
@@ -32,12 +38,12 @@
                             <option value="{{ v }}">{{ k }}</option>
                         {% endfor %}
                     </select>
-                    <!-- ML and Rule Based Based Form-->
+
-                    <div id="package-based-relative-reasoning-specific-form">
                     <!-- Rule Packages -->
-                        <label for="package-based-relative-reasoning-rule-packages">Rule Packages</label>
+                    <div id="rule-packages" class="ep-model-param mlrr rbrr">
-                        <select id="package-based-relative-reasoning-rule-packages" name="package-based-relative-reasoning-rule-packages"
+                        <label for="model-rule-packages">Rule Packages</label>
-                                data-actions-box='true' class="form-control" multiple data-width='100%'>
+                        <select id="model-rule-packages" name="model-rule-packages" data-actions-box='true'
+                                class="form-control" multiple data-width='100%'>
                             <option disabled>Reviewed Packages</option>
                             {% for obj in meta.readable_packages %}
                                 {% if obj.reviewed %}
@@ -52,10 +58,13 @@
                                 {% endif %}
                             {% endfor %}
                         </select>
+                    </div>
+
                     <!-- Data Packages -->
-                        <label for="package-based-relative-reasoning-data-packages" >Data Packages</label>
+                    <div id="data-packages" class="ep-model-param mlrr rbrr enviformer">
-                        <select id="package-based-relative-reasoning-data-packages" name="package-based-relative-reasoning-data-packages"
+                        <label for="model-data-packages">Data Packages</label>
-                                data-actions-box='true' class="form-control" multiple data-width='100%'>
+                        <select id="model-data-packages" name="model-data-packages" data-actions-box='true'
+                                class="form-control" multiple data-width='100%'>
                             <option disabled>Reviewed Packages</option>
                             {% for obj in meta.readable_packages %}
                                 {% if obj.reviewed %}
@@ -70,32 +79,31 @@
                                 {% endif %}
                             {% endfor %}
                         </select>
+                    </div>
 
-                        <div id="ml-relative-reasoning-specific-form">
                     <!-- Fingerprinter -->
-                            <label for="ml-relative-reasoning-fingerprinter">Fingerprinter</label>
+                    <div id="fingerprinter" class="ep-model-param mlrr">
-                            <select id="ml-relative-reasoning-fingerprinter" name="ml-relative-reasoning-fingerprinter"
+                        <label for="model-fingerprinter">Fingerprinter</label>
-                                    class="form-control">
+                        <select id="model-fingerprinter" name="model-fingerprinter" data-actions-box='true'
+                                class="form-control" multiple data-width='100%'>
                             <option value="MACCS" selected>MACCS Fingerprinter</option>
-                            </select>
                             {% if meta.enabled_features.PLUGINS and additional_descriptors %}
-                                <!-- Property Plugins go here -->
-                                <label for="ml-relative-reasoning-additional-fingerprinter">Additional Fingerprinter /
-                                    Descriptors</label>
-                                <select id="ml-relative-reasoning-additional-fingerprinter"
-                                        name="ml-relative-reasoning-additional-fingerprinter" class="form-control">
                                 <option disabled selected>Select Additional Fingerprinter / Descriptor</option>
                                 {% for k, v in additional_descriptors.items %}
                                     <option value="{{ v }}">{{ k }}</option>
                                 {% endfor %}
-                                </select>
                             {% endif %}
-
+                        </select>
-                            <label for="ml-relative-reasoning-threshold">Threshold</label>
-                            <input type="number" min="0" max="1" step="0.05" value="0.5"
-                                   id="ml-relative-reasoning-threshold"
-                                   name="ml-relative-reasoning-threshold" class="form-control">
                     </div>
+
+                    <!-- Threshold -->
+                    <div id="threshold" class="ep-model-param mlrr enviformer">
+                        <label for="model-threshold">Threshold</label>
+                        <input type="number" min="0" max="1" step="0.05" value="0.5" id="model-threshold"
+                               name="model-threshold" class="form-control">
+                    </div>
+
+                    <div id="appdomain" class="ep-model-param mlrr">
                         {% if meta.enabled_features.APPLICABILITY_DOMAIN %}
                             <!-- Build AD? -->
                             <div class="checkbox">
@@ -107,11 +115,13 @@
                             <div id="ad-params" style="display:none">
                                 <!-- Num Neighbors -->
                                 <label for="num-neighbors">Number of Neighbors</label>
-                            <input id="num-neighbors" name="num-neighbors" type="number" class="form-control" value="5"
+                                <input id="num-neighbors" name="num-neighbors" type="number" class="form-control"
+                                       value="5"
                                        step="1" min="0" max="10">
                                 <!-- Local Compatibility -->
                                 <label for="local-compatibility-threshold">Local Compatibility Threshold</label>
-                            <input id="local-compatibility-threshold" name="local-compatibility-threshold" type="number"
+                                <input id="local-compatibility-threshold" name="local-compatibility-threshold"
+                                       type="number"
                                        class="form-control" value="0.5" step="0.01" min="0" max="1">
                                 <!-- Reliability -->
                                 <label for="reliability-threshold">Reliability Threshold</label>
@@ -120,12 +130,6 @@
                             </div>
                         {% endif %}
                     </div>
-                    <!-- EnviFormer-->
-                    <div id="enviformer-specific-form">
-                        <label for="enviformer-threshold">Threshold</label>
-                        <input type="number" min="0" max="1" step="0.05" value="0.5" id="enviformer-threshold"
-                               name="enviformer-threshold" class="form-control">
-                    </div>
                 </form>
             </div>
             <div class="modal-footer">
@@ -138,19 +142,22 @@
 
 <script>
     $(function () {
+        // Built in Model Types
+        var nativeModelTypes = [
+            "mlrr",
+            "rbrr",
+            "enviformer",
+        ]
+
         // Initially hide all "specific" forms
-    $("div[id$='-specific-form']").each( function() {
+        $(".ep-model-param").each(function () {
             $(this).hide();
         });
 
         $('#model-type').selectpicker();
-    $("#ml-relative-reasoning-fingerprinter").selectpicker();
+        $("#model-fingerprinter").selectpicker();
-    $("#package-based-relative-reasoning-rule-packages").selectpicker();
+        $("#model-rule-packages").selectpicker();
-    $("#package-based-relative-reasoning-data-packages").selectpicker();
+        $("#model-data-packages").selectpicker();
-    $("#package-based-relative-reasoning-evaluation-packages").selectpicker();
-    if ($('#ml-relative-reasoning-additional-fingerprinter').length > 0) {
-        $("#ml-relative-reasoning-additional-fingerprinter").selectpicker();
-    }
 
         $("#build-app-domain").change(function () {
             if ($(this).is(":checked")) {
@@ -162,18 +169,12 @@ $(function() {
 
         // On change hide all and show only selected
         $("#model-type").change(function () {
-        $("div[id$='-specific-form']").each( function() {
+            $('.ep-model-param').hide();
-            $(this).hide();
+            var modelType = $('#model-type').val();
-        });
+            if (nativeModelTypes.indexOf(modelType) !== -1) {
-        val = $('option:selected', this).val();
+                $('.' + modelType).show();
-
-        if (val === 'ml-relative-reasoning' || val === 'rule-based-relative-reasoning') {
-            $("#package-based-relative-reasoning-specific-form").show();
-            if (val === 'ml-relative-reasoning') {
-                 $("#ml-relative-reasoning-specific-form").show();
-            }
             } else {
-            $("#" + val + "-specific-form").show();
+                // do nothing
             }
         });
 
@@ -183,7 +184,4 @@ $(function() {
         });
 
     });
-
-
-
 </script>

templates/modals/objects/evaluate_model_modal.html

@@ -17,10 +17,10 @@
                         For evaluation, you need to select the packages you want to use.
                         While the model is evaluating, you can use the model for predictions.
                     </div>
-                    <!-- Evaluation -->
+                    <!-- Evaluation Packages -->
-                    <label for="relative-reasoning-evaluation-packages">Evaluation Packages</label>
+                    <label for="model-evaluation-packages">Evaluation Packages</label>
-                    <select id="relative-reasoning-evaluation-packages" name=relative-reasoning-evaluation-packages"
+                    <select id="model-evaluation-packages" name="model-evaluation-packages" data-actions-box='true'
-                            data-actions-box='true' class="form-control" multiple data-width='100%'>
+                            class="form-control" multiple data-width='100%'>
                         <option disabled>Reviewed Packages</option>
                         {% for obj in meta.readable_packages %}
                             {% if obj.reviewed %}
@@ -35,6 +35,15 @@
                             {% endif %}
                         {% endfor %}
                     </select>
+
+                    <!-- Eval Type -->
+                    <label for="model-evaluation-type">Evaluation Type</label>
+                    <select id="model-evaluation-type" name="model-evaluation-type" class="form-control">
+                        <option disabled selected>Select evaluation type</option>
+                        <option value="sg">Single Generation</option>
+                        <option value="mg">Multiple Generations</option>
+                    </select>
+
                     <input type="hidden" name="hidden" value="evaluate">
                 </form>
             </div>
@@ -50,7 +59,7 @@
 
     $(function () {
 
-        $("#relative-reasoning-evaluation-packages").selectpicker();
+        $("#model-evaluation-packages").selectpicker();
 
         $('#evaluate_model_form_submit').on('click', function (e) {
             e.preventDefault();

templates/modals/objects/identify_missing_rules_modal.html

@@ -0,0 +1,54 @@
+{% load static %}
+<!-- Identify Missing Rules -->
+<div id="identify_missing_rules_modal" class="modal" tabindex="-1">
+    <div class="modal-dialog">
+        <div class="modal-content">
+            <div class="modal-header">
+                <h3 class="modal-title">Identify Missing Rules</h3>
+                <button type="button" class="close" data-dismiss="modal" aria-label="Close">
+                    <span aria-hidden="true">&times;</span>
+                </button>
+            </div>
+            <div class="modal-body">
+                By clicking on Download we'll search the Pathway for Reactions that are not backed by
+                a Rule or which can be assembled by chaining two rules.
+                <form id="identify-missing-rules-modal-form" accept-charset="UTF-8" action="{{ pathway.url }}"
+                      data-remote="true" method="GET">
+                    <label for="rule-package">Select the Rule Package</label>
+                    <select id="rule-package" name="rule-package" data-actions-box='true' class="form-control"
+                            data-width='100%'>
+                        <option disabled>Reviewed Packages</option>
+                        {% for obj in meta.readable_packages %}
+                            {% if obj.reviewed %}
+                                <option value="{{ obj.url }}">{{ obj.name }}</option>
+                            {% endif %}
+                        {% endfor %}
+
+                        <option disabled>Unreviewed Packages</option>
+                        {% for obj in meta.readable_packages %}
+                            {% if not obj.reviewed %}
+                                <option value="{{ obj.url }}">{{ obj.name }}</option>
+                            {% endif %}
+                        {% endfor %}
+                    </select>
+                    <input type="hidden" name="identify-missing-rules" value="true"/>
+                </form>
+            </div>
+            <div class="modal-footer">
+                <button type="button" class="btn btn-secondary" data-dismiss="modal">Close</button>
+                <button type="button" class="btn btn-primary" id="identify-missing-rules-modal-submit">Download</button>
+            </div>
+        </div>
+    </div>
+</div>
+<script>
+    $(function () {
+
+        $('#identify-missing-rules-modal-submit').click(function (e) {
+            e.preventDefault();
+            $('#identify-missing-rules-modal-form').submit();
+            $('#identify_missing_rules_modal').modal('hide');
+        });
+
+    })
+</script>

templates/objects/compound.html

@@ -183,7 +183,7 @@
                 </div>
                 <div id="compound-external-identifier" class="panel-collapse collapse in">
                     <div class="panel-body list-group-item">
-                        {% if compound.get_pubchem_identifiers %}
+                        {% if compound.get_pubchem_compound_identifiers %}
                             <div class="panel panel-default panel-heading list-group-item"
                                  style="background-color:silver">
                                 <h4 class="panel-title">
@@ -193,12 +193,28 @@
                                 </h4>
                             </div>
                             <div id="compound-pubchem-identifier" class="panel-collapse collapse in">
-                                {% for eid in compound.get_pubchem_identifiers %}
+                                {% for eid in compound.get_pubchem_compound_identifiers %}
                                     <a class="list-group-item"
                                        href="{{ eid.external_url }}">CID{{ eid.identifier_value }}</a>
                                 {% endfor %}
                             </div>
                         {% endif %}
+                        {% if compound.get_pubchem_substance_identifiers %}
+                            <div class="panel panel-default panel-heading list-group-item"
+                                 style="background-color:silver">
+                                <h4 class="panel-title">
+                                    <a id="compound-pubchem-identifier-link" data-toggle="collapse"
+                                       data-parent="#compound-external-identifier"
+                                       href="#compound-pubchem-identifier">PubChem Substance Identifier</a>
+                                </h4>
+                            </div>
+                            <div id="compound-pubchem-identifier" class="panel-collapse collapse in">
+                                {% for eid in compound.get_pubchem_substance_identifiers %}
+                                    <a class="list-group-item"
+                                       href="{{ eid.external_url }}">SID{{ eid.identifier_value }}</a>
+                                {% endfor %}
+                            </div>
+                        {% endif %}
                         {% if compound.get_chebi_identifiers %}
                             <div class="panel panel-default panel-heading list-group-item"
                                  style="background-color:silver">

templates/objects/model.html

@@ -117,7 +117,7 @@
                 <!-- End Predict Panel       -->
             {% endif %}
 
-            {% if model.app_domain %}
+            {% if model.ready_for_prediction and model.app_domain %}
                 <!-- App Domain -->
                 <div class="panel panel-default panel-heading list-group-item" style="background-color:silver">
                     <h4 class="panel-title">

templates/objects/pathway.html

@@ -83,6 +83,7 @@
         {% include "modals/objects/add_pathway_edge_modal.html" %}
         {% include "modals/objects/download_pathway_csv_modal.html" %}
         {% include "modals/objects/download_pathway_image_modal.html" %}
+        {% include "modals/objects/identify_missing_rules_modal.html" %}
         {% include "modals/objects/generic_copy_object_modal.html" %}
         {% include "modals/objects/edit_pathway_modal.html" %}
         {% include "modals/objects/generic_set_aliases_modal.html" %}

tests/test_enviformer.py

@@ -1,7 +1,32 @@
+from collections import defaultdict
+from datetime import datetime
 from tempfile import TemporaryDirectory
+
+from django.conf import settings as s
 from django.test import TestCase, tag
+
 from epdb.logic import PackageManager
-from epdb.models import User, EnviFormer, Package
+from epdb.models import EnviFormer, Setting, User
+from epdb.tasks import predict, predict_simple
+
+Package = s.GET_PACKAGE_MODEL()
+
+
+def measure_predict(mod, pathway_pk=None):
+    # Measure and return the prediction time
+    start = datetime.now()
+    if pathway_pk:
+        s = Setting()
+        s.model = mod
+        s.model_threshold = 0.2
+        s.max_depth = 4
+        s.max_nodes = 20
+        s.save()
+        pred_result = predict.delay(pathway_pk, s.pk, limit=s.max_depth)
+    else:
+        pred_result = predict_simple.delay(mod.pk, "C1=CC=C(CSCC2=CC=CC=C2)C=C1")
+    _ = pred_result.get()
+    return round((datetime.now() - start).total_seconds(), 2)
 
 
 @tag("slow")
@@ -28,8 +53,41 @@ class EnviFormerTest(TestCase):
 
                 mod.build_dataset()
                 mod.build_model()
-                mod.multigen_eval = True
+                mod.evaluate_model(True, eval_packages_objs)
-                mod.save()
-                mod.evaluate_model()
 
                 mod.predict("CCN(CC)C(=O)C1=CC(=CC=C1)C")
+
+    def test_predict_runtime(self):
+        with TemporaryDirectory() as tmpdir:
+            with self.settings(MODEL_DIR=tmpdir):
+                threshold = float(0.5)
+                data_package_objs = [self.BBD_SUBSET]
+                eval_packages_objs = [self.BBD_SUBSET]
+                mods = []
+                for _ in range(4):
+                    mod = EnviFormer.create(
+                        self.package, data_package_objs, eval_packages_objs, threshold=threshold
+                    )
+                    mod.build_dataset()
+                    mod.build_model()
+                    mods.append(mod)
+
+                # Test prediction time drops after first prediction
+                times = [measure_predict(mods[0]) for _ in range(5)]
+                print(f"First prediction took {times[0]} seconds, subsequent ones took {times[1:]}")
+
+                # Test pathway prediction
+                times = [measure_predict(mods[1], self.BBD_SUBSET.pathways[0].pk) for _ in range(5)]
+                print(
+                    f"First pathway prediction took {times[0]} seconds, subsequent ones took {times[1:]}"
+                )
+
+                # Test eviction by performing three prediction with every model, twice.
+                times = defaultdict(list)
+                for _ in range(
+                    2
+                ):  # Eviction should cause the second iteration here to have to reload the models
+                    for mod in mods:
+                        for _ in range(3):
+                            times[mod.pk].append(measure_predict(mod))
+                print(times)

tests/test_model.py

@@ -1,10 +1,13 @@
 from tempfile import TemporaryDirectory
 
 import numpy as np
+from django.conf import settings as s
 from django.test import TestCase
 
 from epdb.logic import PackageManager
-from epdb.models import User, MLRelativeReasoning, Package
+from epdb.models import MLRelativeReasoning, User
+
+Package = s.GET_PACKAGE_MODEL()
 
 
 class ModelTest(TestCase):
@@ -30,7 +33,6 @@ class ModelTest(TestCase):
                     self.package,
                     rule_package_objs,
                     data_package_objs,
-                    eval_packages_objs,
                     threshold=threshold,
                     name="ECC - BBD - 0.5",
                     description="Created MLRelativeReasoning in Testcase",
@@ -50,9 +52,7 @@ class ModelTest(TestCase):
 
                 mod.build_dataset()
                 mod.build_model()
-                mod.multigen_eval = True
+                mod.evaluate_model(True, eval_packages_objs)
-                mod.save()
-                mod.evaluate_model()
 
                 results = mod.predict("CCN(CC)C(=O)C1=CC(=CC=C1)C")
 

tests/test_multigen_eval.py

@@ -1,8 +1,12 @@
+from django.conf import settings as s
 from django.test import TestCase
 from networkx.utils.misc import graphs_equal
+
 from epdb.logic import PackageManager, SPathway
-from epdb.models import Pathway, User, Package
+from epdb.models import Pathway, User
-from utilities.ml import multigen_eval, pathway_edit_eval, graph_from_pathway
+from utilities.ml import graph_from_pathway, multigen_eval, pathway_edit_eval
+
+Package = s.GET_PACKAGE_MODEL()
 
 
 class MultiGenTest(TestCase):

tests/test_simpleambitrule.py

@@ -1,9 +1,10 @@
-from unittest.mock import patch, MagicMock, PropertyMock
+from unittest.mock import MagicMock, PropertyMock, patch
 
+from django.conf import settings as s
 from django.test import TestCase
 
 from epdb.logic import PackageManager
-from epdb.models import User, SimpleAmbitRule
+from epdb.models import SimpleAmbitRule, User
 
 
 class SimpleAmbitRuleTest(TestCase):
@@ -209,7 +210,7 @@ class SimpleAmbitRuleTest(TestCase):
 
         self.assertEqual(rule.products_smarts, expected_products)
 
-    @patch("epdb.models.Package.objects")
+    @patch(f"{s.PACKAGE_MODULE_PATH}.objects")
     def test_related_reactions_property(self, mock_package_objects):
         """Test related_reactions property returns correct queryset."""
         mock_qs = MagicMock()

tests/views/test_model_views.py

@@ -1,12 +1,14 @@
+from django.conf import settings as s
 from django.test import TestCase, override_settings
 from django.urls import reverse
-from django.conf import settings as s
 
 from epdb.logic import UserManager
-from epdb.models import Package, User
+from epdb.models import User
+
+Package = s.GET_PACKAGE_MODEL()
 
 
-@override_settings(MODEL_DIR=s.FIXTURE_DIRS[0] / "models")
+@override_settings(MODEL_DIR=s.FIXTURE_DIRS[0] / "models", CELERY_TASK_ALWAYS_EAGER=True)
 class PathwayViewTest(TestCase):
     fixtures = ["test_fixtures_incl_model.jsonl.gz"]
 

tests/views/test_package_views.py

@@ -4,7 +4,9 @@ from django.test import TestCase, tag
 from django.urls import reverse
 
 from epdb.logic import UserManager
-from epdb.models import Package, UserPackagePermission, Permission, GroupPackagePermission, Group
+from epdb.models import Group, GroupPackagePermission, Permission, UserPackagePermission
+
+Package = s.GET_PACKAGE_MODEL()
 
 
 class PackageViewTest(TestCase):

tests/views/test_pathway_views.py

@@ -1,12 +1,14 @@
+from django.conf import settings as s
 from django.test import TestCase, override_settings
 from django.urls import reverse
-from django.conf import settings as s
 
-from epdb.logic import UserManager, PackageManager
+from epdb.logic import PackageManager, UserManager
-from epdb.models import Pathway, Edge
+from epdb.models import Edge, Pathway
+
+Package = s.GET_PACKAGE_MODEL()
 
 
-@override_settings(MODEL_DIR=s.FIXTURE_DIRS[0] / "models")
+@override_settings(MODEL_DIR=s.FIXTURE_DIRS[0] / "models", CELERY_TASK_ALWAYS_EAGER=True)
 class PathwayViewTest(TestCase):
     fixtures = ["test_fixtures_incl_model.jsonl.gz"]
 

tests/views/test_reaction_views.py

@@ -1,9 +1,12 @@
+from django.conf import settings as s
 from django.test import TestCase
 from django.urls import reverse
-from envipy_additional_information import Temperature, Interval
+from envipy_additional_information import Interval, Temperature
 
-from epdb.logic import UserManager, PackageManager
+from epdb.logic import PackageManager, UserManager
-from epdb.models import Reaction, Scenario, ExternalDatabase
+from epdb.models import ExternalDatabase, Reaction, Scenario
+
+Package = s.GET_PACKAGE_MODEL()
 
 
 class ReactionViewTest(TestCase):

tests/views/test_user_views.py

@@ -1,8 +1,11 @@
+from django.conf import settings as s
 from django.test import TestCase
+from django.urls import reverse
 
 from epdb.logic import PackageManager
-from epdb.models import Package, User
+from epdb.models import User
-from django.urls import reverse
+
+Package = s.GET_PACKAGE_MODEL()
 
 
 class UserViewTest(TestCase):

utilities/chem.py

@@ -185,7 +185,7 @@ class FormatConverter(object):
         return smiles
 
     @staticmethod
-    def standardize(smiles, remove_stereo=False):
+    def standardize(smiles, remove_stereo=False, canonicalize_tautomers=False):
         # Taken from https://bitsilla.com/blog/2021/06/standardizing-a-molecule-using-rdkit/
         # follows the steps in
         # https://github.com/greglandrum/RSC_OpenScience_Standardization_202104/blob/main/MolStandardize%20pieces.ipynb
@@ -203,19 +203,21 @@ class FormatConverter(object):
         uncharger = (
             rdMolStandardize.Uncharger()
         )  # annoying, but necessary as no convenience method exists
-        uncharged_parent_clean_mol = uncharger.uncharge(parent_clean_mol)
+        res_mol = uncharger.uncharge(parent_clean_mol)
 
         # note that no attempt is made at reionization at this step
         # nor at ionization at some pH (rdkit has no pKa caculator)
         # the main aim to to represent all molecules from different sources
         # in a (single) standard way, for use in ML, catalogue, etc.
-        # te = rdMolStandardize.TautomerEnumerator()  # idem
-        # taut_uncharged_parent_clean_mol = te.Canonicalize(uncharged_parent_clean_mol)
 
         if remove_stereo:
-            Chem.RemoveStereochemistry(uncharged_parent_clean_mol)
+            Chem.RemoveStereochemistry(res_mol)
 
-        return Chem.MolToSmiles(uncharged_parent_clean_mol, kekuleSmiles=True)
+        if canonicalize_tautomers:
+            te = rdMolStandardize.TautomerEnumerator()  # idem
+            res_mol = te.Canonicalize(res_mol)
+
+        return Chem.MolToSmiles(res_mol, kekuleSmiles=True)
 
     @staticmethod
     def neutralize_smiles(smiles):
@@ -363,6 +365,76 @@ class FormatConverter(object):
 
         return parsed_smiles, errors
 
+    @staticmethod
+    def smiles_covered_by(
+        l_smiles: List[str],
+        r_smiles: List[str],
+        standardize: bool = True,
+        canonicalize_tautomers: bool = True,
+    ) -> bool:
+        """
+        Check if all SMILES in the left list are covered by (contained in) the right list.
+
+        This function performs a subset check to determine if every chemical structure
+        represented in l_smiles has a corresponding representation in r_smiles.
+
+        Args:
+            l_smiles (List[str]): List of SMILES strings to check for coverage.
+            r_smiles (List[str]): List of SMILES strings that should contain all l_smiles.
+            standardize (bool, optional): Whether to standardize SMILES before comparison.
+                Defaults to True. When True, applies FormatConverter.standardize() to
+                normalize representations for accurate comparison.
+            canonicalize_tautomers (bool, optional): Whether to canonicalize tautomers
+                Defaults to False. When True, applies rdMolStandardize.TautomerEnumerator().Canonicalize(res_mol)
+                to the compounds before comparison.
+        Returns:
+            bool: True if all SMILES in l_smiles are found in r_smiles (i.e., l_smiles
+                  is a subset of r_smiles), False otherwise.
+
+        Note:
+            - Comparison treats lists as sets, ignoring duplicates and order
+            - Failed standardization attempts are silently ignored (original SMILES used)
+            - This is a one-directional check: l_smiles ⊆ r_smiles
+            - For bidirectional equality, both directions must be checked separately
+
+        Example:
+            >>> FormatConverter.smiles_covered_by(["CCO", "CC"], ["CCO", "CC", "CCC"])
+            True
+            >>> FormatConverter.smiles_covered_by(["CCO", "CCCC"], ["CCO", "CC", "CCC"])
+            False
+        """
+
+        standardized_l_smiles = []
+
+        if standardize:
+            for smi in l_smiles:
+                try:
+                    smi = FormatConverter.standardize(
+                        smi, canonicalize_tautomers=canonicalize_tautomers
+                    )
+                except Exception:
+                    # :shrug:
+                    # logger.debug(f'Standardizing SMILES failed for {smi}')
+                    pass
+                standardized_l_smiles.append(smi)
+        else:
+            standardized_l_smiles = l_smiles
+
+        standardized_r_smiles = []
+        if standardize:
+            for smi in r_smiles:
+                try:
+                    smi = FormatConverter.standardize(smi)
+                except Exception:
+                    # :shrug:
+                    # logger.debug(f'Standardizing SMILES failed for {smi}')
+                    pass
+                standardized_r_smiles.append(smi)
+        else:
+            standardized_r_smiles = r_smiles
+
+        return len(set(standardized_l_smiles).difference(set(standardized_r_smiles))) == 0
+
 
 class Standardizer(ABC):
     def __init__(self, name):

utilities/decorators.py

@@ -1,10 +1,12 @@
 # decorators.py
 from functools import wraps
 
+from django.conf import settings as s
 from django.shortcuts import get_object_or_404
 
 from epdb.logic import PackageManager
-from epdb.models import Package
+
+Package = s.GET_PACKAGE_MODEL()
 
 # Map HTTP methods to required permissions
 DEFAULT_METHOD_PERMISSIONS = {

utilities/misc.py

@@ -9,36 +9,39 @@ from collections import defaultdict
 from datetime import datetime
 from enum import Enum
 from types import NoneType
-from typing import Dict, Any, List
+from typing import Any, Dict, List
 
+from django.conf import settings as s
 from django.db import transaction
-from envipy_additional_information import Interval, EnviPyModel
+from envipy_additional_information import NAME_MAPPING, EnviPyModel, Interval
-from envipy_additional_information import NAME_MAPPING
 from pydantic import BaseModel, HttpUrl
 
 from epdb.models import (
-    Package,
     Compound,
     CompoundStructure,
-    SimpleRule,
+    Edge,
+    EnviFormer,
+    EPModel,
+    ExternalDatabase,
+    ExternalIdentifier,
+    License,
+    MLRelativeReasoning,
+    Node,
+    ParallelRule,
+    Pathway,
+    PluginModel,
+    Reaction,
+    Rule,
+    RuleBasedRelativeReasoning,
+    Scenario,
+    SequentialRule,
     SimpleAmbitRule,
     SimpleRDKitRule,
-    ParallelRule,
+    SimpleRule,
-    SequentialRule,
-    Reaction,
-    Pathway,
-    Node,
-    Edge,
-    Scenario,
-    EPModel,
-    MLRelativeReasoning,
-    RuleBasedRelativeReasoning,
-    EnviFormer,
-    PluginModel,
-    ExternalIdentifier,
-    ExternalDatabase,
-    License,
 )
+from utilities.chem import FormatConverter
+
+Package = s.GET_PACKAGE_MODEL()
 
 logger = logging.getLogger(__name__)
 
@@ -48,7 +51,7 @@ class HTMLGenerator:
 
     @staticmethod
     def generate_html(additional_information: "EnviPyModel", prefix="") -> str:
-        from typing import get_origin, get_args, Union
+        from typing import Union, get_args, get_origin
 
         if isinstance(additional_information, type):
             clz_name = additional_information.__name__
@@ -1171,3 +1174,89 @@ class PackageImporter:
                 url=identifier_data.get("url", ""),
                 is_primary=identifier_data.get("is_primary", False),
             )
+
+
+class PathwayUtils:
+    def __init__(self, pathway: "Pathway"):
+        self.pathway = pathway
+
+    @staticmethod
+    def _get_products(smiles: str, rules: List["Rule"]):
+        educt_rule_products: Dict[str, Dict[str, List[str]]] = defaultdict(
+            lambda: defaultdict(list)
+        )
+
+        for r in rules:
+            product_sets = r.apply(smiles)
+            for product_set in product_sets:
+                for product in product_set:
+                    educt_rule_products[smiles][r.url].append(product)
+
+        return educt_rule_products
+
+    def find_missing_rules(self, rules: List["Rule"]):
+        print(f"Processing {self.pathway.name}")
+        # compute products for each node / rule combination in the pathway
+        educt_rule_products = defaultdict(lambda: defaultdict(list))
+
+        for node in self.pathway.nodes:
+            educt_rule_products.update(**self._get_products(node.default_node_label.smiles, rules))
+
+        # loop through edges and determine reactions that can't be constructed by
+        # any of the rules or a combination of two rules in a chained fashion
+
+        res: Dict[str, List["Rule"]] = dict()
+
+        for edge in self.pathway.edges:
+            found = False
+            reaction = edge.edge_label
+
+            educts = [cs for cs in reaction.educts.all()]
+            products = [cs.smiles for cs in reaction.products.all()]
+            rule_chain = []
+
+            for educt in educts:
+                educt = educt.smiles
+                triggered_rules = list(educt_rule_products.get(educt, {}).keys())
+                for triggered_rule in triggered_rules:
+                    if rule_products := educt_rule_products[educt][triggered_rule]:
+                        # check if this rule covers the reaction
+                        if FormatConverter.smiles_covered_by(
+                            products, rule_products, standardize=True, canonicalize_tautomers=True
+                        ):
+                            found = True
+                        else:
+                            # Check if another prediction step would cover the reaction
+                            for product in rule_products:
+                                prod_rule_products = self._get_products(product, rules)
+                                prod_triggered_rules = list(
+                                    prod_rule_products.get(product, {}).keys()
+                                )
+                                for prod_triggered_rule in prod_triggered_rules:
+                                    if second_step_products := prod_rule_products[product][
+                                        prod_triggered_rule
+                                    ]:
+                                        if FormatConverter.smiles_covered_by(
+                                            products,
+                                            second_step_products,
+                                            standardize=True,
+                                            canonicalize_tautomers=True,
+                                        ):
+                                            rule_chain.append(
+                                                (
+                                                    triggered_rule,
+                                                    Rule.objects.get(url=triggered_rule).name,
+                                                )
+                                            )
+                                            rule_chain.append(
+                                                (
+                                                    prod_triggered_rule,
+                                                    Rule.objects.get(url=prod_triggered_rule).name,
+                                                )
+                                            )
+                                            res[edge.url] = rule_chain
+
+            if not found:
+                res[edge.url] = rule_chain
+
+        return res