ebdtable2graph
🇩🇪 Dieses Repository enthält ein Python-Paket namens ebdtable2graph
, das genutzt werden kann, um aus .docx-Dateien extrahierte maschinenlesbare Tabellen, die einen Entscheidungsbaum (EBD) modellieren, in echte Graphen zu konvertieren. Diese Entscheidungsbäume sind Teil eines regulatorischen Regelwerks für die deutsche Energiewirtschaft und kommen in der Eingangsprüfung der Marktkommunikation zum Einsatz.
🇬🇧 This repository contains the source code of the Python package ebdtable2graph
.
Rationale
Assume, that you scraped the Entscheidungsbaumdiagramm tables by EDI@Energy from their somewhat "digitized" PDF/DOCX files.
(To do so, you can use the package ebddocx2table
.)
Also assume, that the result of your scraping is a ebdtable2graph.models.EbdTable
.
The package ebdtable2graph
contains logic to convert your scraped data into a graph.
This graph can then be exported e.g. as SVG and/or UML.
How to use ebdtable2graph
?
Install the package from pypi:
pip install ebdtable2graph
Create an Instance of EbdTable
EbdTable
contains the raw data by BDEW in a machine-readable format.
Creating instances of EbdTable
is out of scope for this package.
Ask Hochfrequenz for support on this topic.
In the following example we hard code the information.
from ebdtable2graph.graph_conversion import convert_table_to_graph
from ebdtable2graph.models import EbdCheckResult, EbdTable, EbdTableMetaData, EbdTableRow, EbdTableSubRow, EbdGraph
ebd_table: EbdTable
ebd_table = EbdTable(
metadata=EbdTableMetaData(
ebd_code="E_0003",
chapter="7.39 AD: Bestellung der Aggregationsebene der Bilanzkreissummenzeitreihe auf Ebene der Regelzone",
sub_chapter="7.39.1 E_0003_Bestellung der Aggregationsebene RZ prüfen",
role="ÜNB",
),
rows=[
EbdTableRow(
step_number="1",
description="Erfolgt der Eingang der Bestellung fristgerecht?",
sub_rows=[
EbdTableSubRow(
check_result=EbdCheckResult(result=False, subsequent_step_number=None),
result_code="A01",
note="Fristüberschreitung",
),
EbdTableSubRow(
check_result=EbdCheckResult(result=True, subsequent_step_number="2"),
result_code=None,
note=None,
),
],
),
EbdTableRow(
step_number="2",
description="Erfolgt die Bestellung zum Monatsersten 00:00 Uhr?",
sub_rows=[
EbdTableSubRow(
check_result=EbdCheckResult(result=False, subsequent_step_number=None),
result_code="A02",
note="Gewählter Zeitpunkt nicht zulässig",
),
EbdTableSubRow(
check_result=EbdCheckResult(result=True, subsequent_step_number="Ende"),
result_code=None,
note=None,
),
],
),
],
)
assert isinstance(ebd_table, EbdTable)
ebd_graph = convert_table_to_graph(ebd_table)
assert isinstance(ebd_graph, EbdGraph)
Export as PlantUML
from ebdtable2graph import convert_graph_to_plantuml
plantuml_code = convert_graph_to_plantuml(ebd_graph)
with open("e_0003.puml", "w+", encoding="utf-8") as uml_file:
uml_file.write(plantuml_code)
The file e_0003.puml
now looks like this:
@startuml
...
if (<b>1: </b> Erfolgt der Eingang der Bestellung fristgerecht?) then (ja)
else (nein)
:A01;
note left
Fristüberschreitung
endnote
kill;
endif
if (<b>2: </b> Erfolgt die Bestellung zum Monatsersten 00:00 Uhr?) then (ja)
end
else (nein)
:A02;
note left
Gewählter Zeitpunkt nicht zulässig
endnote
kill;
endif
@enduml
Export as SVG
You can also export the graph as SVG
from ebdtable2graph import convert_plantuml_to_svg_kroki
svg_code = convert_plantuml_to_svg_kroki(plantuml_code)
with open("e_0003.svg", "w+", encoding="utf-8") as svg_file:
svg_file.write(svg_code)
How to use this Repository on Your Machine (for development)
Please follow the instructions in
our Python Template Repository
. And for further information, see the Tox Repository.
Contribute
You are very welcome to contribute to this template repository by opening a pull request against the main branch.
Related Tools and Context
This repository is part of the Hochfrequenz Libraries and Tools for a truly digitized market communication.