forked from enviPath/enviPy
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7 Commits
032ebc30a2
...
develop
| Author | SHA1 | Date | |
|---|---|---|---|
| fedd1b5280 | |||
| 2d3dca6a75 | |||
| ada270aa3c | |||
| 093daa5ecf | |||
| f4f284925a | |||
| ca6e926b30 | |||
| 2504d7045b |
62
.gitea/workflows/build-image.yaml
Normal file
62
.gitea/workflows/build-image.yaml
Normal file
@ -0,0 +1,62 @@
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|||||||
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name: Build Docker Image
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||||||
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||||||
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# Trigger when a PR to main/develop is completed.
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||||||
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on:
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||||||
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pull_request:
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branches:
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- main
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||||||
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- develop
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types:
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||||||
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- closed
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||||||
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||||||
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jobs:
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||||||
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build-and-push:
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if: ${{ github.event.pull_request.merged == true }}
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runs-on: ubuntu-latest
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steps:
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||||||
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# Fetch the repository content for the Docker build context.
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- name: Checkout repository
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||||||
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uses: actions/checkout@v4
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||||||
|
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||||||
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# Enable Buildx for BuildKit features (incl. SSH mount support).
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- name: Set up Docker Buildx
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uses: docker/setup-buildx-action@v3
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||||||
|
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||||||
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# Authenticate against the container registry before pushing images.
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- name: Log in to container registry
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||||||
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uses: docker/login-action@v3
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||||||
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with:
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||||||
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registry: git.envipath.com
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username: ${{ secrets.CI_REGISTRY_USER }}
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||||||
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password: ${{ secrets.CI_REGISTRY_PASSWORD }}
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||||||
|
|
||||||
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# Generate image tags/labels:
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||||||
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# - PRs targeting main get "latest" and "main-sha"
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# - PRs targeting develop get "dev" and "dev-sha"
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||||||
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- name: Extract metadata
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id: meta
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||||||
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uses: docker/metadata-action@v5
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with:
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images: git.envipath.com/envipath/envipy
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tags: |
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type=raw,value=latest,enable=${{ github.event.pull_request.base.ref == 'main' }}
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type=sha,prefix=main-,enable=${{ github.event.pull_request.base.ref == 'main' }}
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type=raw,value=dev,enable=${{ github.event.pull_request.base.ref == 'develop' }}
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type=sha,prefix=dev-,enable=${{ github.event.pull_request.base.ref == 'develop' }}
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||||||
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# Load SSH key so Docker can pull private git+ssh dependencies during build.
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- name: Setup SSH for private git dependencies
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uses: webfactory/ssh-agent@v0.9.0
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with:
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ssh-private-key: ${{ secrets.ENVIPY_CI_PRIVATE_KEY }}
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||||||
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# Build and push the production image; forward SSH agent without registry cache reuse.
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- name: Build and push Docker image
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uses: docker/build-push-action@v5
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||||||
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with:
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context: .
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file: Dockerfile
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||||||
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push: true
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||||||
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ssh: default
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||||||
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tags: ${{ steps.meta.outputs.tags }}
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labels: ${{ steps.meta.outputs.labels }}
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@ -58,6 +58,10 @@ COPY tests tests
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COPY utilities utilities
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COPY utilities utilities
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COPY manage.py .
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COPY manage.py .
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# Used to run migrations etc
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COPY entrypoint.sh entrypoint.sh
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RUN chmod +x entrypoint.sh
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|
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# Install frontend deps
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# Install frontend deps
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COPY package.json pnpm-lock.yaml pnpm-workspace.yaml ./
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COPY package.json pnpm-lock.yaml pnpm-workspace.yaml ./
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@ -100,4 +104,5 @@ USER django
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EXPOSE 8000
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EXPOSE 8000
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CMD ["gunicorn", "envipath.wsgi:application", "--bind", "0.0.0.0:8000", "--workers", "3"]
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ENTRYPOINT ["/app/entrypoint.sh"]
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CMD ["gunicorn", "envipath.wsgi:application", "--bind", "0.0.0.0:8000", "--workers", "8"]
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9
entrypoint.sh
Normal file
9
entrypoint.sh
Normal file
@ -0,0 +1,9 @@
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|
#!/bin/bash
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set -e
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if [ "${SKIP_DJANGO_SETUP:-false}" != "true" ]; then
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python manage.py migrate --no-input
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python manage.py collectstatic --no-input
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fi
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exec "$@"
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@ -44,20 +44,25 @@ class Command(BaseCommand):
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"EPModel",
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"EPModel",
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"ApplicabilityDomain",
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"ApplicabilityDomain",
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"EnzymeLink",
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"EnzymeLink",
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"AdditionalInformation",
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]
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]
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for model in MODELS:
|
for model in MODELS:
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obj_cls = apps.get_model("epdb", model)
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obj_cls = apps.get_model("epdb", model)
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obj_cls.objects.update(
|
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url=Replace(F("url"), Value(options["old"]), Value(options["new"]))
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update_fields = {"url": Replace(F("url"), Value(options["old"]), Value(options["new"]))}
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)
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if hasattr(obj_cls, "description"):
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if issubclass(obj_cls, EnviPathModel):
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update_fields["description"] = Replace(
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obj_cls.objects.update(
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F("description"), Value(options["old"]), Value(options["new"])
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kv=Cast(
|
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Replace(
|
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Cast(F("kv"), output_field=TextField()),
|
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Value(options["old"]),
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Value(options["new"]),
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),
|
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output_field=JSONField(),
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)
|
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)
|
)
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if issubclass(obj_cls, EnviPathModel):
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update_fields["kv"] = Cast(
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Replace(
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Cast(F("kv"), output_field=TextField()),
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Value(options["old"]),
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Value(options["new"]),
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),
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|
output_field=JSONField(),
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)
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|
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obj_cls.objects.update(**update_fields)
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|||||||
97
epdb/management/commands/reaction_rule_mapping.py
Normal file
97
epdb/management/commands/reaction_rule_mapping.py
Normal file
@ -0,0 +1,97 @@
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|
import logging
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|
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|
from django.core.management.base import BaseCommand
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from django.db import transaction
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from uuid import uuid4
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from epdb.models import Package, ReactionExplanation
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from utilities.chem import FormatConverter
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from django.utils import timezone
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logger = logging.getLogger(__name__)
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|
class Command(BaseCommand):
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def add_arguments(self, parser):
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parser.add_argument(
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"--rule-package",
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action="append",
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default=["32de3cf4-e3e6-4168-956e-32fa5ddb0ce1"],
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type=str,
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help="UUID to process. Can be specified multiple times.",
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|
)
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|
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||||||
|
parser.add_argument(
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|
"--reaction-package",
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action="append",
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|
default=[
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"32de3cf4-e3e6-4168-956e-32fa5ddb0ce1", # BBD
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|
"f05e38d8-e9b4-4c3e-b0d8-9ab29966eccf", # Sediment
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|
"521c547a-fd2a-491c-ad5b-7eaa1577fb65", # Sludge
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|
"5882df9c-dae1-4d80-a40e-db4724271456", # Soil
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|
"87a49584-d937-482c-9c33-25928dcb02a8", # PFAS
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||||||
|
],
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|
type=str,
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||||||
|
help="UUID to process. Can be specified multiple times.",
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||||||
|
)
|
||||||
|
|
||||||
|
parser.add_argument(
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||||||
|
"--dry-run",
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||||||
|
default=False,
|
||||||
|
action="store_true",
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||||||
|
help="Perform dry run",
|
||||||
|
)
|
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|
|
||||||
|
@transaction.atomic
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|
def handle(self, *args, **options):
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|
RUN_UUID = uuid4()
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|
RUN_START = timezone.now()
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|
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|
rule_packages = Package.objects.filter(uuid__in=options["rule_package"])
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||||||
|
reaction_packages = Package.objects.filter(uuid__in=options["reaction_package"])
|
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|
|
||||||
|
rules = []
|
||||||
|
for rule_package in rule_packages:
|
||||||
|
rules.extend(rule_package.get_applicable_rules())
|
||||||
|
|
||||||
|
reactions = []
|
||||||
|
for reaction_package in reaction_packages:
|
||||||
|
reactions.extend(reaction_package.reactions)
|
||||||
|
|
||||||
|
logger.debug(f"Collected {len(rules)} rules and {len(reactions)} reactions.")
|
||||||
|
|
||||||
|
for i, reaction in enumerate(reactions):
|
||||||
|
logger.debug(f"Reaction {i} / {len(reactions)}")
|
||||||
|
for j, rule in enumerate(rules):
|
||||||
|
reactants, products = reaction.smirks().split(">>")
|
||||||
|
|
||||||
|
if len(reactants.split(".")) > 1:
|
||||||
|
logger.debug(f"Skipping reaction {reaction.uuid} as it has multiple reactants.")
|
||||||
|
break
|
||||||
|
|
||||||
|
products = products.split(".")
|
||||||
|
|
||||||
|
# Run reaction with rule
|
||||||
|
rule_products = rule.apply(reactants)
|
||||||
|
|
||||||
|
# Check if products match (in both directions if extras are not allowed)
|
||||||
|
for product_set in rule_products:
|
||||||
|
covered, exact = FormatConverter.smiles_covered_by(
|
||||||
|
products,
|
||||||
|
product_set.product_set,
|
||||||
|
standardize=True,
|
||||||
|
canonicalize_tautomers=True,
|
||||||
|
return_exact_match=True,
|
||||||
|
)
|
||||||
|
|
||||||
|
if covered and not options["dry-run"]:
|
||||||
|
logger.debug(f"Reaction {reaction.uuid} explained by rule {rule.uuid}")
|
||||||
|
re = ReactionExplanation()
|
||||||
|
re.run_uuid = RUN_UUID
|
||||||
|
re.run_start = RUN_START
|
||||||
|
re.reaction = reaction
|
||||||
|
re.rule = rule
|
||||||
|
re.exact = exact
|
||||||
|
re.save()
|
||||||
|
# Its explained, if there are more sets skip them
|
||||||
|
break
|
||||||
113
epdb/migrations/0028_auto_20260812_0902.py
Normal file
113
epdb/migrations/0028_auto_20260812_0902.py
Normal file
@ -0,0 +1,113 @@
|
|||||||
|
# Generated by Django 6.0.3 on 2026-08-12 09:02
|
||||||
|
|
||||||
|
from django.conf import settings as s
|
||||||
|
from django.db import migrations
|
||||||
|
from envipy_additional_information import Likelihood, RuleLikelihood
|
||||||
|
|
||||||
|
NEW_RULE = {
|
||||||
|
"parent": "bt0005",
|
||||||
|
"name": "bt0005-3667",
|
||||||
|
"description": "vic-unsubstituted Aromatic > vic-Dihydroxyaromatic",
|
||||||
|
"smirks": "[#8:7]([H])-[#6:1]([H])-1-[#6:2]=[#6:3]-[#6:4]=[#6:5]-[#6:6]([H])-1-[#8:8]([H])>>[#8:7]([H])-[#6:1]=1-[#6:2]=[#6:3]-[#6:4]=[#6:5]-[#6:6]=1-[#8:8]([H])",
|
||||||
|
"scenario_name": "bt0005-3667 aerobic likelihood",
|
||||||
|
"scenario_aerobic_likelihood": RuleLikelihood(likelihood=Likelihood.LIKELY),
|
||||||
|
}
|
||||||
|
|
||||||
|
RULE_FIXES = {
|
||||||
|
"bt0005-4282": "[c:1]([H])1:[c:2]([H]):[#6,#7;a:3]:[c:4]:[c:5]:[c:6]1>>[c:1]([#8])1:[c:2]([#8]):[#6,#7;a:3]:[c:4]:[c:5]:[c:6]1",
|
||||||
|
"bt0014-4215": "[c:1]([H])1[c:8][#6,#7;a:7][c:6][c:5][c:4]1[#8;!$([OH]c:[#6,#7;a:7]([OH])):9]([H])>>[#8:9]([H])[c:4]1:[c:5]:[c:6]:[#6,#7;a:7]:[c:8]:[c:1]1[#8]([H])",
|
||||||
|
# "bt0063-3938": "[#1,#6:6][#7;X3;!$(NC1CC1)!$([N][C]=O)!$([!#8]CNC=O):1]([#1,#6:7])[#6;A;X4:2][H:3]>>[#1,#6:6][#7;X3:1]([H:3])(=[#1,#6:7]).[#6;A:2]=O",
|
||||||
|
# CN1C=NC2=C1C(=O)N(C)C(=O)N2 not working anymore with bt0063-3938 if change above is applied
|
||||||
|
"bt0063-3938": "[#1,#6:6][#7;X3;!$(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",
|
||||||
|
"bt0068-3564": "[#7:4]!@-[#6:2](!@-[#7:1])=[O:5]>>[#7:4]-[#6:2](-[O+0H1])=[O:5].[#7H1:1]",
|
||||||
|
"bt0180-2844": "[H][C:2]([#6:5]([H])([H])([H]))([#1,#6:4])!@-[#6:1]([H])([H])-[#6:3](-[#8-:8])=[O:6]>>[#6:5]([H])([H])([H])\\[#6:2](-[#1,#6:4])=[#6H:1]\\[#6:3](-[#8-:8])=[O:6]",
|
||||||
|
"bt0181-1278": "[#8-:1]-[#6:2](=[O:11])-[#6:7]=[#6:8]-[#6:3](-[H])=[#6:5](-Cl)-[#6:6](-[#8-:10])=[O:9]>>[O+0H1:10]-[#6:6](=[O:9])-[#6:5]=[#6:3]-1-[O+0:1]-[#6:2](=[O:11])-[#6:7]=[#6:8]-1",
|
||||||
|
"bt0298-3335": "[#6:1][N+:2]#[C:3]>>[#6:1]-[#7H2:2]-[#6:3]=O",
|
||||||
|
"bt0322-3393": "[H:10]\\[#6:6](=[#6:9](/[#6:1]([H])([H])([H]))-[#6:11]-[#6:12]-[#6:13]=[#6:14])-[#6:5](-[#16:7])=[O:8]>>[H:10]\\[#6:6](-[#6:5](-[#16:7])=[O:8])=[#6:9](\\[#6:11]-[#6:12]-[#6:13]=[#6:14])-[#6:1]-[#6](-[#8-])=O",
|
||||||
|
"bt0343-2675": "[#8-]-[#6](=O)-[c:1]1[c:6][cH:7][c:8](-[#7H2,#8H1:9])[cH:10][c:11]1>>[#8H][c:1]1[c:6][c:7][c:8]([*:9])[c:10][c:11]1",
|
||||||
|
"bt0350-3319": "[#6:6][#7:3][#6;!R:2]=[#7;!R:1][#6:5]>>[#6:5][#7:1][#6:2]=O.[#6:6][#7:3]", # Trig before 5 -> all of them shouldn't
|
||||||
|
"bt0374-4081": "[cH:4]1[c:16][c:15][c:14][c:13][c:3]1[#7,#8:2][c:1]1[c:8][c:9][c:10][c:11][c:12]1>>[#7,#8:2]-[c:1]1[c:12][c:11][c:10][c:9][c:8]1[c:13]1[c:14][c:15][c:16][c:4](-[#8])[c:3]1-[#8]",
|
||||||
|
"bt0378-3188": "[#8-:7][c:1]1[c:6]([#7+]([#8-])=O)[c:5][c:4]([#7+:9]([#8-])=O)[c:3][c:2]1([#7+:8]([#8-])=O)>>[#8+0:7]=[#6:1]1-[#6:6]-[#6:5]-[#6:4]([#7+:9]([#8-])=O)-[#6:3]-[#6:2]1([#7+:8]([#8-])=O)",
|
||||||
|
"bt0379-3190": "[#9,#17,#35,#53]-[#6:1](-[H])-1-[#6:5]-,=[#6:6]-[#6:7]-,=[#6:8]-[#6:2](-[H])-1-[#9,#17,#35,#53]>>[#6:6]~1-[#6:7]~[#6:8]-[#6:2]=[#6:1]-[#6:5]~1",
|
||||||
|
"bt0393-3367": "[#6:5]-[#6:1](-[#7:2](-[H])(-[H]))=[S+:3]-[#8-:6]>>[#6:5]-[#6:1](=[#7H1:2])-[S+0:3](=[O])-[#8+0H1:6]",
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
def forward_func(apps, schema_editor):
|
||||||
|
ContentType = apps.get_model("contenttypes", "ContentType")
|
||||||
|
|
||||||
|
pkg_class = s.EPDB_PACKAGE_MODEL
|
||||||
|
|
||||||
|
if len(pkg_class.split(".")) != 2:
|
||||||
|
raise ValueError(
|
||||||
|
f"EPDB_PACKAGE_MODEL must be of the form 'app_label.model_name', got {pkg_class}"
|
||||||
|
)
|
||||||
|
|
||||||
|
app_label, model_name = pkg_class.split(".")
|
||||||
|
Package = apps.get_model(app_label, model_name)
|
||||||
|
SimpleAmbitRule = apps.get_model("epdb", "SimpleAmbitRule")
|
||||||
|
ParallelRule = apps.get_model("epdb", "ParallelRule")
|
||||||
|
Scenario = apps.get_model("epdb", "Scenario")
|
||||||
|
AdditionalInformation = apps.get_model("epdb", "AdditionalInformation")
|
||||||
|
simple_ambit_rule_ct = ContentType.objects.get_for_model(SimpleAmbitRule)
|
||||||
|
|
||||||
|
if Package.objects.filter(name="EAWAG-BBD").exists():
|
||||||
|
p = Package.objects.get(name="EAWAG-BBD")
|
||||||
|
|
||||||
|
if not SimpleAmbitRule.objects.filter(package=p, name=NEW_RULE["name"]).exists():
|
||||||
|
# Create Missing Rule
|
||||||
|
new_sr = SimpleAmbitRule()
|
||||||
|
new_sr.polymorphic_ctype = simple_ambit_rule_ct
|
||||||
|
new_sr.package = p
|
||||||
|
new_sr.name = NEW_RULE["name"]
|
||||||
|
new_sr.description = NEW_RULE["description"]
|
||||||
|
new_sr.smirks = NEW_RULE["smirks"]
|
||||||
|
new_sr.save()
|
||||||
|
|
||||||
|
new_sr.url = "{}/simple-ambit-rule/{}".format(new_sr.package.url, new_sr.uuid)
|
||||||
|
new_sr.save()
|
||||||
|
|
||||||
|
# Add likelihood
|
||||||
|
new_scen = Scenario()
|
||||||
|
new_scen.package = p
|
||||||
|
new_scen.name = NEW_RULE["scenario_name"]
|
||||||
|
new_scen.save()
|
||||||
|
|
||||||
|
new_scen.url = "{}/scenario/{}".format(new_scen.package.url, new_scen.uuid)
|
||||||
|
new_scen.save()
|
||||||
|
|
||||||
|
ai = NEW_RULE["scenario_aerobic_likelihood"]
|
||||||
|
new_add_inf = AdditionalInformation()
|
||||||
|
new_add_inf.package = p
|
||||||
|
new_add_inf.type = ai.__class__.__name__
|
||||||
|
new_add_inf.data = ai.model_dump(mode="json")
|
||||||
|
new_add_inf.scenario = new_scen
|
||||||
|
new_add_inf.save()
|
||||||
|
|
||||||
|
new_add_inf.url = "{}/additional-information/{}".format(
|
||||||
|
new_add_inf.scenario.url, new_add_inf.uuid
|
||||||
|
)
|
||||||
|
new_add_inf.save()
|
||||||
|
|
||||||
|
# Link Scenario
|
||||||
|
new_sr.scenarios.add(new_scen)
|
||||||
|
|
||||||
|
# Link to bt0005
|
||||||
|
pr = ParallelRule.objects.get(package=p, name="bt0005")
|
||||||
|
pr.simple_rules.add(new_sr)
|
||||||
|
|
||||||
|
# Update others
|
||||||
|
for rule_name, smirks in RULE_FIXES.items():
|
||||||
|
sr = SimpleAmbitRule.objects.get(package=p, name=rule_name)
|
||||||
|
sr.smirks = smirks
|
||||||
|
sr.save()
|
||||||
|
|
||||||
|
|
||||||
|
class Migration(migrations.Migration):
|
||||||
|
dependencies = [
|
||||||
|
("epdb", "0027_alter_compound_aliases_and_more"),
|
||||||
|
]
|
||||||
|
|
||||||
|
operations = [
|
||||||
|
migrations.RunPython(forward_func, reverse_code=migrations.RunPython.noop),
|
||||||
|
]
|
||||||
@ -0,0 +1,63 @@
|
|||||||
|
# Generated by Django 6.0.3 on 2026-08-13 09:58
|
||||||
|
|
||||||
|
import django.db.models.deletion
|
||||||
|
import django.utils.timezone
|
||||||
|
import model_utils.fields
|
||||||
|
from django.db import migrations, models
|
||||||
|
|
||||||
|
|
||||||
|
class Migration(migrations.Migration):
|
||||||
|
dependencies = [
|
||||||
|
("epdb", "0028_auto_20260812_0902"),
|
||||||
|
]
|
||||||
|
|
||||||
|
operations = [
|
||||||
|
migrations.CreateModel(
|
||||||
|
name="ReactionExplanation",
|
||||||
|
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"
|
||||||
|
),
|
||||||
|
),
|
||||||
|
("run_uuid", models.UUIDField()),
|
||||||
|
("run_start", models.DateTimeField()),
|
||||||
|
("exact", models.BooleanField(default=False)),
|
||||||
|
(
|
||||||
|
"reaction",
|
||||||
|
models.ForeignKey(
|
||||||
|
on_delete=django.db.models.deletion.CASCADE, to="epdb.reaction"
|
||||||
|
),
|
||||||
|
),
|
||||||
|
(
|
||||||
|
"rule",
|
||||||
|
models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to="epdb.rule"),
|
||||||
|
),
|
||||||
|
],
|
||||||
|
options={
|
||||||
|
"abstract": False,
|
||||||
|
},
|
||||||
|
),
|
||||||
|
migrations.AddField(
|
||||||
|
model_name="reaction",
|
||||||
|
name="explained_by",
|
||||||
|
field=models.ManyToManyField(
|
||||||
|
related_name="explained_reactions",
|
||||||
|
through="epdb.ReactionExplanation",
|
||||||
|
to="epdb.rule",
|
||||||
|
),
|
||||||
|
),
|
||||||
|
]
|
||||||
37
epdb/migrations/0030_auto_20260814_0741.py
Normal file
37
epdb/migrations/0030_auto_20260814_0741.py
Normal file
@ -0,0 +1,37 @@
|
|||||||
|
# Generated by Django 6.0.3 on 2026-08-14 07:41
|
||||||
|
|
||||||
|
from django.db import migrations
|
||||||
|
|
||||||
|
|
||||||
|
def forward_func(apps, schema_editor):
|
||||||
|
ContentType = apps.get_model("contenttypes", "ContentType")
|
||||||
|
AdditionalInformation = apps.get_model("epdb", "AdditionalInformation")
|
||||||
|
|
||||||
|
models = {}
|
||||||
|
|
||||||
|
for c in ContentType.objects.all():
|
||||||
|
try:
|
||||||
|
models[(c.app_label, c.model)] = apps.get_model(c.app_label, c.model)
|
||||||
|
except Exception:
|
||||||
|
pass
|
||||||
|
|
||||||
|
for ai in AdditionalInformation.objects.all():
|
||||||
|
if ai.url is None:
|
||||||
|
if ai.content_type is None:
|
||||||
|
ai.url = "{}/additional-information/{}".format(ai.scenario.url, ai.uuid)
|
||||||
|
else:
|
||||||
|
model = models[(ai.content_type.app_label, ai.content_type.model)]
|
||||||
|
obj = model.objects.get(pk=ai.object_id)
|
||||||
|
ai.url = "{}/additional-information/{}".format(obj.url, ai.uuid)
|
||||||
|
|
||||||
|
ai.save()
|
||||||
|
|
||||||
|
|
||||||
|
class Migration(migrations.Migration):
|
||||||
|
dependencies = [
|
||||||
|
("epdb", "0029_reactionexplanation_reaction_explained_by"),
|
||||||
|
]
|
||||||
|
|
||||||
|
operations = [
|
||||||
|
migrations.RunPython(forward_func, reverse_code=migrations.RunPython.noop),
|
||||||
|
]
|
||||||
@ -854,9 +854,15 @@ class Compound(
|
|||||||
@property
|
@property
|
||||||
def related_reactions(self):
|
def related_reactions(self):
|
||||||
return (
|
return (
|
||||||
Reaction.objects.filter(package=self.package, educts__in=[self.default_structure])
|
(
|
||||||
| Reaction.objects.filter(package=self.package, products__in=[self.default_structure])
|
Reaction.objects.filter(package=self.package, educts__in=[self.default_structure])
|
||||||
).order_by("name")
|
| Reaction.objects.filter(
|
||||||
|
package=self.package, products__in=[self.default_structure]
|
||||||
|
)
|
||||||
|
)
|
||||||
|
.distinct()
|
||||||
|
.order_by("name")
|
||||||
|
)
|
||||||
|
|
||||||
@property
|
@property
|
||||||
def related_nodes(self):
|
def related_nodes(self):
|
||||||
@ -1724,6 +1730,14 @@ class SequentialRuleOrdering(models.Model):
|
|||||||
order_index = models.IntegerField(null=False, blank=False)
|
order_index = models.IntegerField(null=False, blank=False)
|
||||||
|
|
||||||
|
|
||||||
|
class ReactionExplanation(TimeStampedModel):
|
||||||
|
run_uuid = models.UUIDField(null=False, blank=False)
|
||||||
|
run_start = models.DateTimeField(null=False, blank=False)
|
||||||
|
reaction = models.ForeignKey("epdb.Reaction", on_delete=models.CASCADE)
|
||||||
|
rule = models.ForeignKey("epdb.Rule", on_delete=models.CASCADE)
|
||||||
|
exact = models.BooleanField(default=False)
|
||||||
|
|
||||||
|
|
||||||
class Reaction(
|
class Reaction(
|
||||||
EnviPathModel, AliasMixin, ScenarioMixin, ReactionIdentifierMixin, AdditionalInformationMixin
|
EnviPathModel, AliasMixin, ScenarioMixin, ReactionIdentifierMixin, AdditionalInformationMixin
|
||||||
):
|
):
|
||||||
@ -1749,6 +1763,12 @@ class Reaction(
|
|||||||
|
|
||||||
external_identifiers = GenericRelation("ExternalIdentifier")
|
external_identifiers = GenericRelation("ExternalIdentifier")
|
||||||
|
|
||||||
|
explained_by = models.ManyToManyField(
|
||||||
|
"epdb.Rule",
|
||||||
|
through="ReactionExplanation",
|
||||||
|
related_name="explained_reactions",
|
||||||
|
)
|
||||||
|
|
||||||
def _url(self):
|
def _url(self):
|
||||||
return "{}/reaction/{}".format(self.package.url, self.uuid)
|
return "{}/reaction/{}".format(self.package.url, self.uuid)
|
||||||
|
|
||||||
@ -2574,7 +2594,7 @@ class Node(EnviPathModel, AliasMixin, ScenarioMixin, AdditionalInformationMixin)
|
|||||||
collected[str(ai.scenario.uuid)]["proposed"] = True
|
collected[str(ai.scenario.uuid)]["proposed"] = True
|
||||||
|
|
||||||
if ai.type == "Confidence":
|
if ai.type == "Confidence":
|
||||||
collected[str(ai.scenario.uuid)]["Confidence"] = ai.get().level
|
collected[str(ai.scenario.uuid)]["Confidence"] = ai.get().level.value
|
||||||
|
|
||||||
if ai.type == "TransformationProductImportance":
|
if ai.type == "TransformationProductImportance":
|
||||||
collected[str(ai.scenario.uuid)]["Transformation product importance"] = (
|
collected[str(ai.scenario.uuid)]["Transformation product importance"] = (
|
||||||
|
|||||||
@ -1080,19 +1080,23 @@ def package_model(request, package_uuid, model_uuid):
|
|||||||
for pr in pred_res:
|
for pr in pred_res:
|
||||||
if len(pr) > 0:
|
if len(pr) > 0:
|
||||||
products = []
|
products = []
|
||||||
|
|
||||||
for prod_set in pr.product_sets:
|
for prod_set in pr.product_sets:
|
||||||
logger.debug(f"Checking {prod_set}")
|
logger.debug(f"Checking {prod_set}")
|
||||||
products.append(tuple([x for x in prod_set]))
|
products.append(tuple([x for x in prod_set]))
|
||||||
|
|
||||||
res["pred"].append(
|
products = list(set(products))
|
||||||
{
|
|
||||||
"products": list(set(products)),
|
for prod in products:
|
||||||
"probability": pr.probability,
|
res["pred"].append(
|
||||||
"btrule": {k: getattr(pr.rule, k) for k in ["url", "name"]}
|
{
|
||||||
if pr.rule is not None
|
"products": list(prod),
|
||||||
else None,
|
"probability": pr.probability,
|
||||||
}
|
"btrule": {k: getattr(pr.rule, k) for k in ["url", "name"]}
|
||||||
)
|
if pr.rule is not None
|
||||||
|
else None,
|
||||||
|
}
|
||||||
|
)
|
||||||
|
|
||||||
# Sort data by prob desc
|
# Sort data by prob desc
|
||||||
res["pred"] = sorted(
|
res["pred"] = sorted(
|
||||||
|
|||||||
@ -109,12 +109,12 @@
|
|||||||
res += "<th scope='row'>" + cnt + "</th>";
|
res += "<th scope='row'>" + cnt + "</th>";
|
||||||
res +=
|
res +=
|
||||||
"<th scope='row'>" +
|
"<th scope='row'>" +
|
||||||
data[transformation]["products"][0].join(", ") +
|
data[transformation]["products"].join(", ") +
|
||||||
"</th>";
|
"</th>";
|
||||||
res +=
|
res +=
|
||||||
"<th scope='row'>" +
|
"<th scope='row'>" +
|
||||||
"<img width='400' src='{% url 'depict' %}?smiles=" +
|
"<img width='400' src='{% url 'depict' %}?smiles=" +
|
||||||
encodeURIComponent(data[transformation]["products"][0].join(".")) +
|
encodeURIComponent(data[transformation]["products"].join(".")) +
|
||||||
"'></th>";
|
"'></th>";
|
||||||
res +=
|
res +=
|
||||||
"<th scope='row'>" +
|
"<th scope='row'>" +
|
||||||
|
|||||||
@ -47,7 +47,7 @@ class ModelViewTest(TestCase):
|
|||||||
|
|
||||||
expected = [
|
expected = [
|
||||||
{
|
{
|
||||||
"products": [["CCN(CC)C(=O)C1=CC(C=O)=CC=C1"]],
|
"products": ["CCN(CC)C(=O)C1=CC(C=O)=CC=C1"],
|
||||||
"probability": 0.75,
|
"probability": 0.75,
|
||||||
"btrule": {
|
"btrule": {
|
||||||
"url": "http://localhost:8000/package/1869d3f0-60bb-41fd-b6f8-afa75ffb09d3/simple-ambit-rule/2f2e0c39-e109-4836-959f-2bda2524f022",
|
"url": "http://localhost:8000/package/1869d3f0-60bb-41fd-b6f8-afa75ffb09d3/simple-ambit-rule/2f2e0c39-e109-4836-959f-2bda2524f022",
|
||||||
@ -55,7 +55,7 @@ class ModelViewTest(TestCase):
|
|||||||
},
|
},
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"products": [["O=C(O)C1=CC(CO)=CC=C1", "CCNCC"]],
|
"products": ["O=C(O)C1=CC(CO)=CC=C1", "CCNCC"],
|
||||||
"probability": 0.25,
|
"probability": 0.25,
|
||||||
"btrule": {
|
"btrule": {
|
||||||
"url": "http://localhost:8000/package/1869d3f0-60bb-41fd-b6f8-afa75ffb09d3/simple-ambit-rule/0e6e9290-b658-4450-b291-3ec19fa19206",
|
"url": "http://localhost:8000/package/1869d3f0-60bb-41fd-b6f8-afa75ffb09d3/simple-ambit-rule/0e6e9290-b658-4450-b291-3ec19fa19206",
|
||||||
@ -63,7 +63,7 @@ class ModelViewTest(TestCase):
|
|||||||
},
|
},
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"products": [["CCNC(=O)C1=CC(CO)=CC=C1", "CC=O"]],
|
"products": ["CCNC(=O)C1=CC(CO)=CC=C1", "CC=O"],
|
||||||
"probability": 0.0,
|
"probability": 0.0,
|
||||||
"btrule": {
|
"btrule": {
|
||||||
"url": "http://localhost:8000/package/1869d3f0-60bb-41fd-b6f8-afa75ffb09d3/simple-ambit-rule/27a3a353-0b66-4228-bd16-e407949e90df",
|
"url": "http://localhost:8000/package/1869d3f0-60bb-41fd-b6f8-afa75ffb09d3/simple-ambit-rule/27a3a353-0b66-4228-bd16-e407949e90df",
|
||||||
|
|||||||
@ -68,6 +68,8 @@ class PredictionResult(object):
|
|||||||
|
|
||||||
|
|
||||||
class FormatConverter(object):
|
class FormatConverter(object):
|
||||||
|
tautomer_enumerator = rdMolStandardize.TautomerEnumerator()
|
||||||
|
|
||||||
@staticmethod
|
@staticmethod
|
||||||
def mass(smiles):
|
def mass(smiles):
|
||||||
return Descriptors.MolWt(FormatConverter.from_smiles(smiles))
|
return Descriptors.MolWt(FormatConverter.from_smiles(smiles))
|
||||||
@ -240,8 +242,9 @@ class FormatConverter(object):
|
|||||||
Chem.RemoveStereochemistry(res_mol)
|
Chem.RemoveStereochemistry(res_mol)
|
||||||
|
|
||||||
if canonicalize_tautomers:
|
if canonicalize_tautomers:
|
||||||
te = rdMolStandardize.TautomerEnumerator() # idem
|
tautomers = FormatConverter.tautomer_enumerator.Enumerate(res_mol)
|
||||||
res_mol = te.Canonicalize(res_mol)
|
if len(tautomers) >= 1:
|
||||||
|
res_mol = FormatConverter.tautomer_enumerator.PickCanonical(tautomers)
|
||||||
|
|
||||||
return Chem.MolToSmiles(res_mol, kekuleSmiles=True)
|
return Chem.MolToSmiles(res_mol, kekuleSmiles=True)
|
||||||
|
|
||||||
@ -389,7 +392,7 @@ class FormatConverter(object):
|
|||||||
prods.append(p)
|
prods.append(p)
|
||||||
|
|
||||||
except ValueError as e:
|
except ValueError as e:
|
||||||
logger.error(f"Sanitizing and converting failed:\n{e}")
|
logger.debug(f"Sanitizing and converting failed:\n{e}")
|
||||||
continue
|
continue
|
||||||
|
|
||||||
if len(prods):
|
if len(prods):
|
||||||
@ -397,7 +400,8 @@ class FormatConverter(object):
|
|||||||
pss.add(ps)
|
pss.add(ps)
|
||||||
|
|
||||||
except Exception as e:
|
except Exception as e:
|
||||||
logger.error(f"Applying {smirks} on {smiles} failed:\n{e}")
|
logger.debug(f"Applying {smirks} on {smiles} failed:\n{e}")
|
||||||
|
pass
|
||||||
|
|
||||||
return list(pss)
|
return list(pss)
|
||||||
|
|
||||||
@ -444,6 +448,7 @@ class FormatConverter(object):
|
|||||||
r_smiles: List[str],
|
r_smiles: List[str],
|
||||||
standardize: bool = True,
|
standardize: bool = True,
|
||||||
canonicalize_tautomers: bool = True,
|
canonicalize_tautomers: bool = True,
|
||||||
|
return_exact_match: bool = False,
|
||||||
) -> bool:
|
) -> bool:
|
||||||
"""
|
"""
|
||||||
Check if all SMILES in the left list are covered by (contained in) the right list.
|
Check if all SMILES in the left list are covered by (contained in) the right list.
|
||||||
@ -482,8 +487,10 @@ class FormatConverter(object):
|
|||||||
if standardize:
|
if standardize:
|
||||||
for smi in l_smiles:
|
for smi in l_smiles:
|
||||||
try:
|
try:
|
||||||
smi = FormatConverter.standardize(
|
smi = FormatConverter.canonicalize(
|
||||||
smi, remove_stereo=True, canonicalize_tautomers=canonicalize_tautomers
|
FormatConverter.standardize(
|
||||||
|
smi, remove_stereo=True, canonicalize_tautomers=canonicalize_tautomers
|
||||||
|
)
|
||||||
)
|
)
|
||||||
except Exception:
|
except Exception:
|
||||||
# :shrug:
|
# :shrug:
|
||||||
@ -497,8 +504,12 @@ class FormatConverter(object):
|
|||||||
if standardize:
|
if standardize:
|
||||||
for smi in r_smiles:
|
for smi in r_smiles:
|
||||||
try:
|
try:
|
||||||
smi = FormatConverter.standardize(
|
smi = FormatConverter.canonicalize(
|
||||||
smi, remove_stereo=True, canonicalize_tautomers=canonicalize_tautomers
|
FormatConverter.standardize(
|
||||||
|
smi,
|
||||||
|
remove_stereo=True,
|
||||||
|
canonicalize_tautomers=canonicalize_tautomers,
|
||||||
|
)
|
||||||
)
|
)
|
||||||
except Exception:
|
except Exception:
|
||||||
# :shrug:
|
# :shrug:
|
||||||
@ -507,8 +518,11 @@ class FormatConverter(object):
|
|||||||
standardized_r_smiles.append(smi)
|
standardized_r_smiles.append(smi)
|
||||||
else:
|
else:
|
||||||
standardized_r_smiles = r_smiles
|
standardized_r_smiles = r_smiles
|
||||||
|
if not return_exact_match:
|
||||||
return len(set(standardized_l_smiles).difference(set(standardized_r_smiles))) == 0
|
return len(set(standardized_l_smiles).difference(set(standardized_r_smiles))) == 0
|
||||||
|
return len(set(standardized_l_smiles).difference(set(standardized_r_smiles))) == 0, set(
|
||||||
|
standardized_l_smiles
|
||||||
|
) == set(standardized_r_smiles)
|
||||||
|
|
||||||
|
|
||||||
class Standardizer(ABC):
|
class Standardizer(ABC):
|
||||||
|
|||||||
@ -238,9 +238,11 @@ class RuleBasedDataset(Dataset):
|
|||||||
):
|
):
|
||||||
if feat_funcs is None:
|
if feat_funcs is None:
|
||||||
feat_funcs = [FormatConverter.maccs]
|
feat_funcs = [FormatConverter.maccs]
|
||||||
_structures = set() # Get all the structures
|
|
||||||
|
_structures = set()
|
||||||
for r in reactions:
|
for r in reactions:
|
||||||
_structures.update(r.educts.all())
|
_structures.update(r.educts.all())
|
||||||
|
|
||||||
if not educts_only:
|
if not educts_only:
|
||||||
_structures.update(r.products.all())
|
_structures.update(r.products.all())
|
||||||
|
|
||||||
@ -282,17 +284,14 @@ class RuleBasedDataset(Dataset):
|
|||||||
if key not in triggered:
|
if key not in triggered:
|
||||||
continue
|
continue
|
||||||
|
|
||||||
# standardize products from reactions for comparison
|
if FormatConverter.smiles_covered_by(
|
||||||
standardized_products = []
|
[prod.smiles for prod in r.products.all()],
|
||||||
for cs in r.products.all():
|
list(triggered[key]),
|
||||||
smi = cs.smiles
|
standardize=True,
|
||||||
try:
|
canonicalize_tautomers=True,
|
||||||
smi = FormatConverter.standardize(smi, remove_stereo=True)
|
):
|
||||||
except Exception:
|
|
||||||
logger.debug(f"Standardizing SMILES failed for {smi}")
|
|
||||||
standardized_products.append(smi)
|
|
||||||
if len(set(standardized_products).difference(triggered[key])) == 0:
|
|
||||||
observed.add(key)
|
observed.add(key)
|
||||||
|
|
||||||
feat_columns = []
|
feat_columns = []
|
||||||
for feat_func in feat_funcs:
|
for feat_func in feat_funcs:
|
||||||
if isinstance(feat_func, Descriptor):
|
if isinstance(feat_func, Descriptor):
|
||||||
@ -301,6 +300,7 @@ class RuleBasedDataset(Dataset):
|
|||||||
feats = feat_func(compounds[0].smiles)
|
feats = feat_func(compounds[0].smiles)
|
||||||
start_i = len(feat_columns)
|
start_i = len(feat_columns)
|
||||||
feat_columns.extend([f"feature_{start_i + i}" for i, _ in enumerate(feats)])
|
feat_columns.extend([f"feature_{start_i + i}" for i, _ in enumerate(feats)])
|
||||||
|
|
||||||
ds_columns = (
|
ds_columns = (
|
||||||
["structure_id"]
|
["structure_id"]
|
||||||
+ feat_columns
|
+ feat_columns
|
||||||
@ -334,7 +334,9 @@ class RuleBasedDataset(Dataset):
|
|||||||
obs.append(None)
|
obs.append(None)
|
||||||
else:
|
else:
|
||||||
obs.append(0)
|
obs.append(0)
|
||||||
|
|
||||||
rows.append([str(comp.uuid)] + feats + trig + obs)
|
rows.append([str(comp.uuid)] + feats + trig + obs)
|
||||||
|
|
||||||
ds = RuleBasedDataset(len(applicable_rules), ds_columns, data=rows)
|
ds = RuleBasedDataset(len(applicable_rules), ds_columns, data=rows)
|
||||||
return ds
|
return ds
|
||||||
|
|
||||||
@ -680,9 +682,13 @@ class RelativeReasoning:
|
|||||||
|
|
||||||
def predict(self, X):
|
def predict(self, X):
|
||||||
res = np.zeros((len(X), (self.end_index + 1 - self.start_index)))
|
res = np.zeros((len(X), (self.end_index + 1 - self.start_index)))
|
||||||
|
immutable_res = np.zeros((len(X), (self.end_index + 1 - self.start_index)))
|
||||||
|
|
||||||
# Loop through all instances
|
# Loop through all instances
|
||||||
for inst_idx, inst in enumerate(X):
|
for inst_idx, inst in enumerate(X):
|
||||||
|
for i, t in enumerate(inst[self.start_index : self.end_index + 1]):
|
||||||
|
immutable_res[inst_idx][i] = t
|
||||||
|
|
||||||
# Loop through all "triggered" features
|
# Loop through all "triggered" features
|
||||||
for i, t in enumerate(inst[self.start_index : self.end_index + 1]):
|
for i, t in enumerate(inst[self.start_index : self.end_index + 1]):
|
||||||
# Set label
|
# Set label
|
||||||
@ -696,7 +702,7 @@ class RelativeReasoning:
|
|||||||
if i2 in self.winmap.get(i, []):
|
if i2 in self.winmap.get(i, []):
|
||||||
# if thatat rule also triggered, it dominated the current
|
# if thatat rule also triggered, it dominated the current
|
||||||
# set label to 0
|
# set label to 0
|
||||||
if X[inst_idx][i2]:
|
if immutable_res[inst_idx][i2]:
|
||||||
res[inst_idx][i] = 0
|
res[inst_idx][i] = 0
|
||||||
|
|
||||||
return res
|
return res
|
||||||
|
|||||||
Reference in New Issue
Block a user