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[Feature] Make use of HalfLifeModel Enum (#383)

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Co-authored-by: Tim Lorsbach <tim@lorsba.ch>
Reviewed-on: enviPath/enviPy#383
This commit is contained in:
jebus
2026-05-12 09:23:56 +12:00
parent 734b02767e
commit a2fc9f72cb
3 changed files with 81 additions and 26 deletions
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56
epdb/migrations/0025_auto_20260511_2025.py Normal file
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@ -0,0 +1,56 @@
# Generated by Django 6.0.3 on 2026-05-11 20:25
from django.db import migrations
from envipy_additional_information import HalfLife, HalfLifeModel, HalfLifeWS
MAPPING = {
"": HalfLifeModel.OTHER,
"HS-SFO": HalfLifeModel.HS_SFO,
"FOMC": HalfLifeModel.FOMC,
"FOTC": HalfLifeModel.DFOP,
"FMOC": HalfLifeModel.FOMC,
"DFOP": HalfLifeModel.DFOP,
"SFO + SFO": HalfLifeModel.SFO_SFO,
"FOMC-SFO": HalfLifeModel.FOMC_SFO,
"first order kinetics": HalfLifeModel.SFO,
"SFO²": HalfLifeModel.SFO,
"HS": HalfLifeModel.HS,
"top down": HalfLifeModel.OTHER,
"SFO": HalfLifeModel.SFO,
"First Order": HalfLifeModel.SFO,
"SFO/SFO": HalfLifeModel.SFO_SFO,
"FOMC + SFO": HalfLifeModel.FOMC_SFO,
"true": HalfLifeModel.SFO,
"SFO-SFO": HalfLifeModel.SFO_SFO,
"DFOP-SFO": HalfLifeModel.DFOP_SFO,
}
def forward_func(apps, schema_editor):
AdditionalInformation = apps.get_model("epdb", "AdditionalInformation")
hls = AdditionalInformation.objects.filter(type="HalfLife")
for hl in hls:
data = hl.data
data["model"] = MAPPING[data["model"]].value
hl.data = HalfLife(**data).model_dump(mode="json")
hl.save()
hlws = AdditionalInformation.objects.filter(type="HalfLifeWS")
for hl in hlws:
data = hl.data
data["model"] = MAPPING[data["model"]].value
hl.data = HalfLifeWS(**data).model_dump(mode="json")
hl.save()
class Migration(migrations.Migration):
dependencies = [
("epdb", "0024_user_contacted"),
]
operations = [
migrations.RunPython(forward_func, reverse_code=migrations.RunPython.noop),
]

17
utilities/legacy.py
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@ -64,7 +64,7 @@
import logging
from envipy_additional_information import HalfLife, HalfLifeWS
from envipy_additional_information import HalfLife, HalfLifeWS, HalfLifeModel
from envipy_additional_information.information import Interval
from envipy_additional_information.parsers import (
AcidityParser,
@ -473,17 +473,12 @@ def build_additional_information_from_request(request, type_):
comment = get_parameter_or_empty_string(request, "comment")
source = get_parameter_or_empty_string(request, "source")
first_order = get_parameter_or_empty_string(request, "firstOrder")
# first_order = get_parameter_or_empty_string(request, "firstOrder")
model = get_parameter_or_empty_string(request, "model")
fit = get_parameter_or_empty_string(request, "fit")
if first_order != "":
if model != "":
raise ValueError("not both, model and firstOrder can be set!")
if first_order == "true":
model = "SFO"
else:
logger.info("firstOrder is set to false which is not meaningful")
if model:
model = HalfLifeModel(model.upper())
return HalfLife(model=model, fit=fit, comment=comment, dt50=i, source=source)
@ -508,6 +503,10 @@ def build_additional_information_from_request(request, type_):
comment_ws = get_parameter_or_empty_string(request, "comment_ws")
source_ws = get_parameter_or_empty_string(request, "source_ws")
model_ws = get_parameter_or_empty_string(request, "model_ws")
if model_ws:
model_ws = HalfLifeModel(model_ws.upper())
fit_ws = get_parameter_or_empty_string(request, "fit_ws")
dt50_total = IntervalParser.from_string(hl_ws_total)

34
uv.lock generated
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@ -894,7 +894,7 @@ provides-extras = ["ms-login", "dev", "pepper-plugin"]
[[package]]
name = "envipy-additional-information"
version = "0.4.2"
source = { git = "ssh://git@git.envipath.com/enviPath/enviPy-additional-information.git?branch=develop#0a608c85c73a6ef5c38afea87d2b57fb43f01a70" }
source = { git = "ssh://git@git.envipath.com/enviPath/enviPy-additional-information.git?branch=develop#676dae1c5678539beac637b87e49b9dadfdfd85a" }
dependencies = [
{ name = "pydantic" },
]
@ -2763,9 +2763,9 @@ dependencies = [
{ name = "typing-extensions", marker = "sys_platform != 'linux' and sys_platform != 'win32'" },
]
wheels = [
{ url = "https://download-r2.pytorch.org/whl/cpu/torch-2.8.0-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:a47b7986bee3f61ad217d8a8ce24605809ab425baf349f97de758815edd2ef54" },
{ url = "https://download-r2.pytorch.org/whl/cpu/torch-2.8.0-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:fbe2e149c5174ef90d29a5f84a554dfaf28e003cb4f61fa2c8c024c17ec7ca58" },
{ url = "https://download-r2.pytorch.org/whl/cpu/torch-2.8.0-cp313-none-macosx_11_0_arm64.whl", hash = "sha256:057efd30a6778d2ee5e2374cd63a63f63311aa6f33321e627c655df60abdd390" },
{ url = "https://download-r2.pytorch.org/whl/cpu/torch-2.8.0-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:a47b7986bee3f61ad217d8a8ce24605809ab425baf349f97de758815edd2ef54", upload-time = "2025-10-01T23:35:50Z" },
{ url = "https://download-r2.pytorch.org/whl/cpu/torch-2.8.0-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:fbe2e149c5174ef90d29a5f84a554dfaf28e003cb4f61fa2c8c024c17ec7ca58", upload-time = "2025-10-01T23:35:52Z" },
{ url = "https://download-r2.pytorch.org/whl/cpu/torch-2.8.0-cp313-none-macosx_11_0_arm64.whl", hash = "sha256:057efd30a6778d2ee5e2374cd63a63f63311aa6f33321e627c655df60abdd390", upload-time = "2025-10-01T23:35:55Z" },
]
[[package]]
@ -2785,19 +2785,19 @@ dependencies = [
{ name = "typing-extensions", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
]
wheels = [
{ url = "https://download-r2.pytorch.org/whl/cpu/torch-2.8.0%2Bcpu-cp312-cp312-linux_s390x.whl", hash = "sha256:0e34e276722ab7dd0dffa9e12fe2135a9b34a0e300c456ed7ad6430229404eb5" },
{ url = "https://download-r2.pytorch.org/whl/cpu/torch-2.8.0%2Bcpu-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:610f600c102386e581327d5efc18c0d6edecb9820b4140d26163354a99cd800d" },
{ url = "https://download-r2.pytorch.org/whl/cpu/torch-2.8.0%2Bcpu-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:cb9a8ba8137ab24e36bf1742cb79a1294bd374db570f09fc15a5e1318160db4e" },
{ url = "https://download-r2.pytorch.org/whl/cpu/torch-2.8.0%2Bcpu-cp312-cp312-win_amd64.whl", hash = "sha256:2be20b2c05a0cce10430cc25f32b689259640d273232b2de357c35729132256d" },
{ url = "https://download-r2.pytorch.org/whl/cpu/torch-2.8.0%2Bcpu-cp312-cp312-win_arm64.whl", hash = "sha256:99fc421a5d234580e45957a7b02effbf3e1c884a5dd077afc85352c77bf41434" },
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]
[[package]]