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test(data-extraction): Include first unit tests

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TrisNol 2023-09-17 19:20:28 +02:00
parent bfe50ac76d
commit febcd59e39
11 changed files with 492 additions and 124 deletions
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34
Jupyter/API-tests/News/notebook.ipynb
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14
poetry.lock generated
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@ -1,5 +1,17 @@
# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
[[package]]
name = "aenum"
version = "3.1.15"
description = "Advanced Enumerations (compatible with Python's stdlib Enum), NamedTuples, and NamedConstants"
optional = false
python-versions = "*"
files = [
{file = "aenum-3.1.15-py2-none-any.whl", hash = "sha256:27b1710b9d084de6e2e695dab78fe9f269de924b51ae2850170ee7e1ca6288a5"},
{file = "aenum-3.1.15-py3-none-any.whl", hash = "sha256:e0dfaeea4c2bd362144b87377e2c61d91958c5ed0b4daf89cb6f45ae23af6288"},
{file = "aenum-3.1.15.tar.gz", hash = "sha256:8cbd76cd18c4f870ff39b24284d3ea028fbe8731a58df3aa581e434c575b9559"},
]
[[package]]
name = "alabaster"
version = "0.7.13"
@ -5610,4 +5622,4 @@ ingest = ["selenium"]
[metadata]
lock-version = "2.0"
python-versions = "^3.11"
content-hash = "ca7006861e8580466abc2a7e0555ef97365754f6406e83a777ee0a87bc8c1dc0"
content-hash = "f8728eee18c7402c68901a65631c2f3c0bd1a04fb1fb952f3746a12f47a9b9a4"

1
pyproject.toml
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@ -36,6 +36,7 @@ version = "0.1.0"
[tool.poetry.dependencies]
SQLAlchemy = {version = "^1.4.46", extras = ["mypy"]}
aenum = "^3.1.15"
dash = "^2.11.1"
dash-bootstrap-components = "^1.4.2"
deutschland = {git = "https://github.com/TrisNol/deutschland.git", branch = "hotfix/python-3.11-support"}

37
src/aki_prj23_transparenzregister/models/company.py
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@ -2,16 +2,31 @@
from dataclasses import asdict, dataclass
from enum import Enum
from aenum import MultiValueEnum
class RelationshipRoleEnum(Enum):
"""_summary_.
Args:
Enum (_type_): _description_
"""
class RelationshipRoleEnum(str, MultiValueEnum):
"""Roles taken by entities in relationships to a Company."""
STAKEHOLDER = ""
ORGANISATION = "ORGANISATION"
KOMMANDITIST = "Kommanditist(in)", "Kommanditist"
GESCHAEFTSFUEHRER = "Geschäftsführer(in)", "Geschäftsführer"
PROKURIST = "Prokurist(in)", "Prokurist"
VORSTAND = "Vorstand"
INHABER = "Inhaber(in)", "Inhaber"
HAFTENDER_GESELLSCHAFTER = (
"Persönlich haftende(r) Gesellschafter(in)",
"Persönlich haftender Gesellschafter",
)
LIQUIDATOR = "Liquidator(in)", "Liquidator"
PARTNER = "Partner(in)", "Partner"
DIREKTOR = "Geschäftsführende(r) Direktor(in)", "Geschäftsführender Direktor"
LEITUNG = "Mitglied des Leitungsorgans"
VORSTANDSVORSITZENDER = "Vorstandsvorsitzende(r)", "Vorstandsvorsitzender"
NACHFOLGER = "Rechtsnachfolger"
STAENDIGER_VERTRETER = "Ständige(r) Vertreter(in)"
SONSTIGER_VERTRETER = "Sonstige(r) Vertreter(in)", "Sonstiger Vertreter"
GESCHAEFTSLEITER = "Geschäftsleiter(in)", "Geschäftsleiter"
@dataclass
@ -32,7 +47,7 @@ class Location:
zip_code: str | None = None
class CompanyRelationshipEnum(Enum):
class CompanyRelationshipEnum(str, Enum):
"""Type of companyrelations."""
PERSON = "Person"
@ -136,10 +151,10 @@ class Company:
last_update: str
relationships: list[CompanyRelationship]
# yearly_results: Optional[list[FinancialResults]]
company_type: str # TODO define Enum
capital: Capital | None
business_purpose: str
founding_date: str
company_type: str | None = None # TODO define Enum
capital: Capital | None | None = None
business_purpose: str | None = None
founding_date: str | None = None
def to_dict(self) -> dict:
"""_summary_.

1
src/aki_prj23_transparenzregister/utils/data_extraction/unternehmensregister/__init__.py Normal file
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@ -0,0 +1 @@
"""Everything regarding data extraction from the Unternehmensregister."""

219
src/aki_prj23_transparenzregister/utils/data_extraction/unternehmensregister/transform.py
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@ -12,10 +12,14 @@ from tqdm import tqdm
from aki_prj23_transparenzregister.models.company import (
Capital,
Company,
CompanyID,
CompanyRelationship,
CompanyRelationshipEnum,
CompanyToCompanyRelationship,
Location,
PersonName,
PersonToCompanyRelationship,
RelationshipRoleEnum,
)
@ -57,7 +61,45 @@ def parse_stakeholder(data: dict) -> CompanyRelationship | None:
"description": data["Beteiligter"]["Natuerliche_Person"][
"Voller_Name"
]["Nachname"],
"location": {
"location": Location(
**{
"city": data["Beteiligter"]["Natuerliche_Person"][
"Anschrift"
][-1]["Ort"]
if isinstance(
data["Beteiligter"]["Natuerliche_Person"]["Anschrift"],
list,
)
else data["Beteiligter"]["Natuerliche_Person"]["Anschrift"][
"Ort"
]
}
),
"role": RelationshipRoleEnum(
data["Rolle"]["Rollenbezeichnung"]["content"]
),
"type": CompanyRelationshipEnum.COMPANY,
}
)
return PersonToCompanyRelationship(
**{
"name": PersonName(
**{
"firstname": data["Beteiligter"]["Natuerliche_Person"][
"Voller_Name"
]["Vorname"],
"lastname": data["Beteiligter"]["Natuerliche_Person"][
"Voller_Name"
]["Nachname"],
}
),
"date_of_birth": data["Beteiligter"]["Natuerliche_Person"]["Geburt"][
"Geburtsdatum"
]
if "Geburt" in data["Beteiligter"]["Natuerliche_Person"]
else None,
"location": Location(
**{
"city": data["Beteiligter"]["Natuerliche_Person"]["Anschrift"][
-1
]["Ort"]
@ -67,37 +109,12 @@ def parse_stakeholder(data: dict) -> CompanyRelationship | None:
else data["Beteiligter"]["Natuerliche_Person"]["Anschrift"][
"Ort"
]
},
"role": data["Rolle"]["Rollenbezeichnung"]["content"],
"type": "Company",
}
)
return PersonToCompanyRelationship(
**{
"name": {
"firstname": data["Beteiligter"]["Natuerliche_Person"][
"Voller_Name"
]["Vorname"],
"lastname": data["Beteiligter"]["Natuerliche_Person"][
"Voller_Name"
]["Nachname"],
},
"date_of_birth": data["Beteiligter"]["Natuerliche_Person"]["Geburt"][
"Geburtsdatum"
]
if "Geburt" in data["Beteiligter"]["Natuerliche_Person"]
else None,
"location": {
"city": data["Beteiligter"]["Natuerliche_Person"]["Anschrift"][-1][
"Ort"
]
if isinstance(
data["Beteiligter"]["Natuerliche_Person"]["Anschrift"], list
)
else data["Beteiligter"]["Natuerliche_Person"]["Anschrift"]["Ort"]
},
"role": data["Rolle"]["Rollenbezeichnung"]["content"],
"type": "Person",
}
),
"role": RelationshipRoleEnum(
data["Rolle"]["Rollenbezeichnung"]["content"]
),
"type": CompanyRelationshipEnum.PERSON,
}
)
if "Organisation" in data["Beteiligter"]:
@ -107,23 +124,29 @@ def parse_stakeholder(data: dict) -> CompanyRelationship | None:
"description": data["Beteiligter"]["Organisation"]["Bezeichnung"][
"Bezeichnung_Aktuell"
],
"location": {
"city": data["Beteiligter"]["Organisation"]["Anschrift"]["Ort"],
"street": data["Beteiligter"]["Organisation"]["Anschrift"][
"Strasse"
]
if "Strasse" in data["Beteiligter"]["Organisation"]["Anschrift"]
else None,
"house_number": data["Beteiligter"]["Organisation"]["Anschrift"][
"Hausnummer"
]
if "Hausnummer" in data["Beteiligter"]["Organisation"]["Anschrift"]
else None,
"zip_code": data["Beteiligter"]["Organisation"]["Anschrift"][
"Postleitzahl"
],
},
"type": "Company",
"location": Location(
**{
"city": data["Beteiligter"]["Organisation"]["Anschrift"]["Ort"],
"street": data["Beteiligter"]["Organisation"]["Anschrift"][
"Strasse"
]
if "Strasse" in data["Beteiligter"]["Organisation"]["Anschrift"]
else None,
"house_number": data["Beteiligter"]["Organisation"][
"Anschrift"
]["Hausnummer"]
if "Hausnummer"
in data["Beteiligter"]["Organisation"]["Anschrift"]
else None,
"zip_code": data["Beteiligter"]["Organisation"]["Anschrift"][
"Postleitzahl"
]
if "Postleitzahl"
in data["Beteiligter"]["Organisation"]["Anschrift"]
else None,
}
),
"type": CompanyRelationshipEnum.COMPANY,
}
)
return None
@ -166,20 +189,6 @@ def loc_from_beteiligung(data: dict) -> Location:
)
def name_from_organisation(data: dict) -> str:
"""Extract the company from the description.
Args:
data (dict): Data export
Returns:
str: Company name
"""
return data["XJustiz_Daten"]["Fachdaten_Register"]["Basisdaten_Register"][
"Organisation"
]["Bezeichnung"]["Bezeichnung_Aktuell"]
def name_from_beteiligung(data: dict) -> str:
"""Extract the Company name from an Unternehmensregister export by using the first relationship found.
@ -374,6 +383,48 @@ def map_founding_date(data: dict) -> str | None:
return None
def map_company_id(data: dict) -> CompanyID:
"""Retrieve Company ID from export.
Args:
data (dict): Data export
Returns:
CompanyID: ID of the company
"""
return CompanyID(
**{
"hr_number": data["XJustiz_Daten"]["Grunddaten"]["Verfahrensdaten"][
"Instanzdaten"
]["Aktenzeichen"],
"district_court": {
"name": data["XJustiz_Daten"]["Grunddaten"]["Verfahrensdaten"][
"Beteiligung"
][1]["Beteiligter"]["Organisation"]["Bezeichnung"][
"Bezeichnung_Aktuell"
]
if "Organisation"
in data["XJustiz_Daten"]["Grunddaten"]["Verfahrensdaten"][
"Beteiligung"
][1]["Beteiligter"]
else data["XJustiz_Daten"]["Grunddaten"]["Verfahrensdaten"][
"Beteiligung"
][1]["Beteiligter"]["Natuerliche_Person"]["Voller_Name"]["Nachname"],
"city": data["XJustiz_Daten"]["Grunddaten"]["Verfahrensdaten"][
"Beteiligung"
][1]["Beteiligter"]["Organisation"]["Sitz"]["Ort"]
if "Organisation"
in data["XJustiz_Daten"]["Grunddaten"]["Verfahrensdaten"][
"Beteiligung"
][1]["Beteiligter"]
else data["XJustiz_Daten"]["Grunddaten"]["Verfahrensdaten"][
"Beteiligung"
][1]["Beteiligter"]["Natuerliche_Person"]["Anschrift"]["Ort"],
},
}
)
def map_unternehmensregister_json(data: dict) -> Company:
"""Processes the Unternehmensregister structured export to a Company by using several helper methods.
@ -386,33 +437,7 @@ def map_unternehmensregister_json(data: dict) -> Company:
result: dict = {"relationships": []}
# TODO Refactor mapping - this is a nightmare...
result["id"] = {
"hr_number": data["XJustiz_Daten"]["Grunddaten"]["Verfahrensdaten"][
"Instanzdaten"
]["Aktenzeichen"],
"district_court": {
"name": data["XJustiz_Daten"]["Grunddaten"]["Verfahrensdaten"][
"Beteiligung"
][1]["Beteiligter"]["Organisation"]["Bezeichnung"]["Bezeichnung_Aktuell"]
if "Organisation"
in data["XJustiz_Daten"]["Grunddaten"]["Verfahrensdaten"]["Beteiligung"][1][
"Beteiligter"
]
else data["XJustiz_Daten"]["Grunddaten"]["Verfahrensdaten"]["Beteiligung"][
1
]["Beteiligter"]["Natuerliche_Person"]["Voller_Name"]["Nachname"],
"city": data["XJustiz_Daten"]["Grunddaten"]["Verfahrensdaten"][
"Beteiligung"
][1]["Beteiligter"]["Organisation"]["Sitz"]["Ort"]
if "Organisation"
in data["XJustiz_Daten"]["Grunddaten"]["Verfahrensdaten"]["Beteiligung"][1][
"Beteiligter"
]
else data["XJustiz_Daten"]["Grunddaten"]["Verfahrensdaten"]["Beteiligung"][
1
]["Beteiligter"]["Natuerliche_Person"]["Anschrift"]["Ort"],
},
}
result["id"] = map_company_id(data)
result["name"] = name_from_beteiligung(data)
result["location"] = loc_from_beteiligung(data)
@ -438,12 +463,12 @@ def map_unternehmensregister_json(data: dict) -> Company:
if __name__ == "__main__":
from loguru import logger
transform_xml_to_json(
"./data/Unternehmensregister/scraping/", "./data/Unternehmensregister/export/"
)
for file in tqdm(glob.glob1("./data/Unternehmensregister/export", "*.json")):
path = os.path.join("./data/Unternehmensregister/export", file)
# transform_xml_to_json(
# "./data/Unternehmensregister/scraping/", "./data/Unternehmensregister/export/"
# )
base_path = "./Jupyter/API-tests/Unternehmensregister/data/Unternehmensregister"
for file in tqdm(glob.glob1(f"{base_path}/export", "*.json")):
path = os.path.join(f"{base_path}/export", file)
with open(path, encoding="utf-8") as file_object:
try:
data = json.loads(file_object.read())
@ -452,7 +477,7 @@ if __name__ == "__main__":
name = "".join(e for e in company.name if e.isalnum())[:50]
with open(
f"./data/Unternehmensregister/transformed/{name}.json",
f"{base_path}/transformed/{name}.json",
"w+",
encoding="utf-8",
) as export_file:

20
tests/models/company_test.py
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@ -1,7 +1,12 @@
"""Test Models.company."""
from aki_prj23_transparenzregister.models.company import Company, CompanyID, Location
from aki_prj23_transparenzregister.models.company import (
Capital,
Company,
CompanyID,
Location,
)
def test_to_dict() -> None:
@ -10,12 +15,17 @@ def test_to_dict() -> None:
location = Location(
city="Insmouth", house_number="19", street="Harbor", zip_code="1890"
)
capital = Capital(currency="BTC", type="Virtual assets", value=42)
company = Company(
id=company_id,
last_update="Tomorrow",
location=location,
name="BLANK GmbH",
relationships=[],
business_purpose="Blockchain and NFTs",
capital=capital,
company_type="Something",
founding_date="Yesterday",
)
assert company.to_dict() == {
@ -32,4 +42,12 @@ def test_to_dict() -> None:
},
"name": "BLANK GmbH",
"relationships": [],
"business_purpose": "Blockchain and NFTs",
"capital": {
"value": capital.value,
"currency": capital.currency,
"type": capital.type,
},
"company_type": "Something",
"founding_date": "Yesterday",
}

1
tests/utils/data_extraction/__init__.py
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@ -1 +0,0 @@
"""Tests for data_extraction."""

81
tests/utils/data_extraction/unternehmensregister/extract_test.py Normal file
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@ -0,0 +1,81 @@
import glob
import os
from tempfile import TemporaryDirectory
from aki_prj23_transparenzregister.utils.data_extraction.unternehmensregister import (
extract,
)
def prepare_temporary_dir(directory: str, formats: list[str]) -> None:
for index in range(len(formats)):
test_file = os.path.join(directory, f"file-{index}.{formats[index]}")
with open(test_file, "w") as file:
file.write(f"Hello There {index}")
def test_rename_latest_file() -> None:
with TemporaryDirectory() as temp_dir:
# Create some test files in the temporary directory
test_file1 = os.path.join(temp_dir, "file1.xml")
test_file2 = os.path.join(temp_dir, "file2.xml")
test_file3 = os.path.join(temp_dir, "file3.xml")
# Create files with different modification times
with open(test_file1, "w") as f:
f.write("Content 1")
with open(test_file2, "w") as f:
f.write("Content 2")
with open(test_file3, "w") as f:
f.write("Content 3")
# Rename the latest file to 'new_file.xml'
extract.rename_latest_file(temp_dir, "new_file.xml")
glob.glob1(temp_dir, "*.xml")
# Verify that 'file3.xml' is renamed to 'new_file.xml'
assert not os.path.exists(test_file3)
assert os.path.exists(os.path.join(temp_dir, "new_file.xml"))
# Verify that 'file1.xml' and 'file2.xml' are still present
assert os.path.exists(test_file1)
assert os.path.exists(test_file2)
# Verify that renaming with a different pattern works
with open(test_file1, "w") as f:
f.write("Content 4")
with open(os.path.join(temp_dir, "file4.txt"), "w") as f:
f.write("Content 5")
# Rename the latest .txt file to 'new_file.txt'
extract.rename_latest_file(temp_dir, "new_file.txt", pattern="*.txt")
# Verify that 'file4.txt' is renamed to 'new_file.txt'
assert not os.path.exists(os.path.join(temp_dir, "file4.txt"))
assert os.path.exists(os.path.join(temp_dir, "new_file.txt"))
# Verify that 'file1.xml' is still present and unchanged
with open(test_file1) as f:
assert f.read() == "Content 4"
def test_get_num_files_default_pattern() -> None:
with TemporaryDirectory() as temp_dir:
prepare_temporary_dir(temp_dir, ["xml", "xml", "xml"])
expected_result = 3
assert extract.get_num_files(temp_dir) == expected_result
def test_get_num_files_different_pattern() -> None:
with TemporaryDirectory() as temp_dir:
prepare_temporary_dir(temp_dir, ["xml", "txt", "json"])
num_files = extract.get_num_files(temp_dir, "*.txt")
assert num_files == 1
def test_wait_for_download_condition() -> None:
with TemporaryDirectory() as temp_dir:
prepare_temporary_dir(temp_dir, ["xml", "txt"])
assert extract.wait_for_download_condition(temp_dir, 2) is False

0
tests/utils/data_extraction/unternehmensregister/load_test.py Normal file
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208
tests/utils/data_extraction/unternehmensregister/transform_test.py Normal file
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@ -0,0 +1,208 @@
import json
import os
from tempfile import TemporaryDirectory
from aki_prj23_transparenzregister.models.company import (
CompanyRelationshipEnum,
CompanyToCompanyRelationship,
Location,
PersonName,
PersonToCompanyRelationship,
RelationshipRoleEnum,
)
from aki_prj23_transparenzregister.utils.data_extraction.unternehmensregister import (
transform,
)
def test_transform_xml_to_json() -> None:
with TemporaryDirectory() as temp_source_dir:
with open(os.path.join(temp_source_dir, "test.xml"), "w") as file:
xml_input = """<?xml version="1.0" encoding="UTF-8"?>
<test>
<message>Hello World!</message>
</test>
"""
file.write(xml_input)
with TemporaryDirectory() as temp_target_dir:
transform.transform_xml_to_json(temp_source_dir, temp_target_dir)
with open(os.path.join(temp_target_dir, "test.json")) as file:
json_output = json.load(file)
assert json_output == {"test": {"message": "Hello World!"}}
def test_parse_stakeholder_org_hidden_in_person() -> None:
data = {
"Beteiligter": {
"Natuerliche_Person": {
"Voller_Name": {"Vorname": None, "Nachname": "Some Company KG"},
"Anschrift": {"Ort": "Area 51"},
}
},
"Rolle": {"Rollenbezeichnung": {"content": "Kommanditist(in)"}},
}
expected_result = CompanyToCompanyRelationship(
role=RelationshipRoleEnum.KOMMANDITIST, # type: ignore
description="Some Company KG",
type=CompanyRelationshipEnum.COMPANY,
location=Location(**{"city": "Area 51"}),
)
assert transform.parse_stakeholder(data) == expected_result
def test_parse_stakeholder_person() -> None:
data = {
"Beteiligter": {
"Natuerliche_Person": {
"Voller_Name": {"Vorname": "Stephen", "Nachname": "King"},
"Anschrift": {"Ort": "Maine"},
"Geburt": {"Geburtsdatum": "1947-09-21"},
}
},
"Rolle": {"Rollenbezeichnung": {"content": "Geschäftsleiter(in)"}},
}
expected_result = PersonToCompanyRelationship(
role=RelationshipRoleEnum.GESCHAEFTSLEITER, # type: ignore
date_of_birth="1947-09-21",
name=PersonName(**{"firstname": "Stephen", "lastname": "King"}),
type=CompanyRelationshipEnum.PERSON,
location=Location(**{"city": "Maine"}),
)
assert transform.parse_stakeholder(data) == expected_result
def test_parse_stakeholder_org() -> None:
data = {
"Beteiligter": {
"Organisation": {
"Bezeichnung": {"Bezeichnung_Aktuell": "Transparenzregister kG"},
"Anschrift": {
"Ort": "Iserlohn",
"Strasse": "Hauptstrasse",
"Hausnummer": "42",
"Postleitzahl": "58636",
},
"Geburt": {"Geburtsdatum": "1947-09-21"},
}
},
"Rolle": {"Rollenbezeichnung": {"content": "Geschäftsführender Direktor"}},
}
expected_result = CompanyToCompanyRelationship(
description="Transparenzregister kG",
role=RelationshipRoleEnum.DIREKTOR, # type: ignore
type=CompanyRelationshipEnum.COMPANY,
location=Location(
**{
"city": "Iserlohn",
"zip_code": "58636",
"house_number": "42",
"street": "Hauptstrasse",
}
),
)
assert transform.parse_stakeholder(data) == expected_result
def test_parse_stakeholder_no_result() -> None:
data: dict = {"Beteiligter": {}}
assert transform.parse_stakeholder(data) is None
def test_loc_from_beteiligung() -> None:
data = {
"XJustiz_Daten": {
"Grunddaten": {
"Verfahrensdaten": {
"Beteiligung": [
{
"Beteiligter": {
"Beteiligtennummer": "1",
"Organisation": {
"Bezeichnung": {
"Bezeichnung_Aktuell": "1 A Autenrieth Kunststofftechnik GmbH & Co. KG"
},
"Sitz": {
"Ort": "Heroldstatt",
"Staat": {
"@xsi:type": "WL_Staaten",
"@wl_version": "1.5",
"@wl_fassung": "2",
"content": "DE",
},
},
"Anschrift": {
"Strasse": "Gewerbestraße",
"Hausnummer": "8",
"Postleitzahl": "72535",
"Ort": "Heroldstatt",
},
},
}
},
]
}
}
}
}
expected_result = Location(
city="Heroldstatt", house_number="8", street="Gewerbestraße", zip_code="72535"
)
assert transform.loc_from_beteiligung(data) == expected_result
def test_name_from_beteiligung() -> None:
data = {
"XJustiz_Daten": {
"Grunddaten": {
"Verfahrensdaten": {
"Beteiligung": [
{
"Beteiligter": {
"Beteiligtennummer": "1",
"Organisation": {
"Bezeichnung": {
"Bezeichnung_Aktuell": "1 A Autenrieth Kunststofftechnik GmbH & Co. KG"
},
},
}
},
]
}
}
}
}
expected_result = "1 A Autenrieth Kunststofftechnik GmbH & Co. KG"
assert transform.name_from_beteiligung(data) == expected_result
def test_map_rechtsform() -> None:
data = {
"XJustiz_Daten": {
"Fachdaten_Register": {
"Basisdaten_Register": {
"Aktuelles_Satzungsdatum": "1952-07-15",
"Rechtstraeger": {
"Rechtsform": {
"content": "Gesellschaft mit beschränkter Haftung"
},
},
}
}
}
}
expected_result = "Gesellschaft mit beschränkter Haftung"
assert transform.map_rechtsform("", data) == expected_result
def test_map_rechtsform_from_name() -> None:
data = [
("GEA Farm Technologies GmbH", "Gesellschaft mit beschränkter Haftung"),
("Atos SE", "Europäische Aktiengesellschaft (SE)"),
("Bilkenroth KG", "Kommanditgesellschaft"),
("jfoiahfo8sah 98548902 öhz ö", None),
]
for company_name, expected_result in data:
assert transform.map_rechtsform(company_name, {}) == expected_result