Refactoring
* splits ema/models.py into subpackage * splits konova/models.py into subpackage * splits user/models.py into subpackage
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ema/models/__init__.py
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ema/models/__init__.py
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"""
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Author: Michel Peltriaux
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Organization: Struktur- und Genehmigungsdirektion Nord, Rhineland-Palatinate, Germany
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Contact: michel.peltriaux@sgdnord.rlp.de
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Created on: 15.11.21
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"""
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from .ema import *
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139
ema/models/ema.py
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ema/models/ema.py
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"""
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Author: Michel Peltriaux
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Organization: Struktur- und Genehmigungsdirektion Nord, Rhineland-Palatinate, Germany
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Contact: michel.peltriaux@sgdnord.rlp.de
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Created on: 15.11.21
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"""
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import shutil
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from django.db import models
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from django.db.models import QuerySet
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from compensation.models import AbstractCompensation
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from ema.managers import EmaManager
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from ema.utils.quality import EmaQualityChecker
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from konova.models import AbstractDocument, generate_document_file_upload_path, RecordableObject, ShareableObject
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from konova.settings import DEFAULT_SRID_RLP, LANIS_LINK_TEMPLATE
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class Ema(AbstractCompensation, ShareableObject, RecordableObject):
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"""
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EMA = Ersatzzahlungsmaßnahme
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(compensation actions from payments)
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Until 2015 the EMA was the data object to keep track of any compensation, which has been funded by payments
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previously paid. In 2015 another organization got in charge of this, which led to the creation of the data object
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MAE (which is basically the same, just renamed in their system) to differ between the 'old' payment funded ones and
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the new. For historical reasons, we need to keep EMAs in our system, since there are still entries done to this day,
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which have been performed somewhere before 2015 and therefore needs to be entered.
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Further information:
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https://snu.rlp.de/de/foerderungen/massnahmen-aus-ersatzzahlungen/uebersicht-mae/
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EMA therefore holds data like a compensation: actions, before-/after-states, deadlines, ...
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"""
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objects = EmaManager()
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def __str__(self):
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return "{}".format(self.identifier)
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def save(self, *args, **kwargs):
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if self.identifier is None or len(self.identifier) == 0:
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# Create new identifier
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new_id = self.generate_new_identifier()
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while Ema.objects.filter(identifier=new_id).exists():
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new_id = self.generate_new_identifier()
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self.identifier = new_id
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super().save(*args, **kwargs)
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def get_LANIS_link(self) -> str:
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""" Generates a link for LANIS depending on the geometry
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Returns:
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"""
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try:
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geom = self.geometry.geom.transform(DEFAULT_SRID_RLP, clone=True)
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x = geom.centroid.x
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y = geom.centroid.y
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zoom_lvl = 16
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except AttributeError:
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# If no geometry has been added, yet.
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x = 1
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y = 1
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zoom_lvl = 6
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return LANIS_LINK_TEMPLATE.format(
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zoom_lvl,
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x,
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y,
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)
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def quality_check(self) -> EmaQualityChecker:
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""" Quality check
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Returns:
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ret_msgs (EmaQualityChecker): Holds validity error messages
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"""
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checker = EmaQualityChecker(self)
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checker.run_check()
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return checker
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def get_documents(self) -> QuerySet:
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""" Getter for all documents of an EMA
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Returns:
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docs (QuerySet): The queryset of all documents
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"""
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docs = EmaDocument.objects.filter(
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instance=self
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)
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return docs
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class EmaDocument(AbstractDocument):
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"""
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Specializes document upload for ema with certain path
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"""
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instance = models.ForeignKey(
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Ema,
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on_delete=models.CASCADE,
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related_name="documents",
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)
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file = models.FileField(
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upload_to=generate_document_file_upload_path,
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max_length=1000,
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)
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def delete(self, *args, **kwargs):
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"""
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Custom delete functionality for EcoAccountDocuments.
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Removes the folder from the file system if there are no further documents for this entry.
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Args:
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*args ():
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**kwargs ():
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Returns:
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"""
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ema_docs = self.instance.get_documents()
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folder_path = None
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if ema_docs.count() == 1:
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# The only file left for this EMA is the one which is currently processed and will be deleted
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# Make sure that the compensation folder itself is deleted as well, not only the file
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# Therefore take the folder path from the file path
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folder_path = self.file.path.split("/")[:-1]
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folder_path = "/".join(folder_path)
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# Remove the file itself
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super().delete(*args, **kwargs)
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# If a folder path has been set, we need to delete the whole folder!
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if folder_path is not None:
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try:
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shutil.rmtree(folder_path)
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except FileNotFoundError:
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# Folder seems to be missing already...
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pass
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