mirror of
https://github.com/fhswf/aki_prj23_transparenzregister.git
synced 2025-06-21 15:13:55 +02:00
175 create person page (#178)
Created person page and updated search bar in the header to search for persons
This commit is contained in:
@ -11,7 +11,7 @@ from aki_prj23_transparenzregister.config.config_providers import (
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HELP_TEXT_CONFIG,
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get_config_provider,
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)
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from aki_prj23_transparenzregister.ui import ui_elements
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from aki_prj23_transparenzregister.ui import data_elements, header_elements
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from aki_prj23_transparenzregister.ui.session_handler import SessionHandler
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from aki_prj23_transparenzregister.utils.logger_config import (
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add_logger_options_to_argparse,
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@ -26,7 +26,9 @@ app = Dash(
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app.layout = html.Div(
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className="page_content",
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children=[
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ui_elements.create_header(ui_elements.get_options(SessionHandler.session)),
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header_elements.create_header(
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data_elements.get_options(SessionHandler.session)
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),
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dash.page_container,
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dcc.Location(id="url", refresh=True),
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],
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@ -55,16 +57,21 @@ def go_to_home(click: int) -> str:
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Input("select_company", "value"),
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prevent_initial_call=True,
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)
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def go_to_company_page(value: int) -> str:
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def go_to_detail_page(id: str) -> str:
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"""Updates pages after selecting a company or using the home button.
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Args:
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value: Represents the company id of the chosen company in the dropdown
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id: Represents the company or person id of the chosen company or person in the dropdown menu.
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Returns:
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Returns the href of the company page.
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"""
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return f"/Unternehmensdetails/{value}"
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if id.startswith("p_"):
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page = "/Personendetails/"
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if id.startswith("c_"):
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page = "/Unternehmensdetails/"
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chosen_id = id.split("_", 1)[1]
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return f"{page}{chosen_id}"
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@app.callback(
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@ -83,11 +90,11 @@ def update_options(search_value: str) -> list:
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if not search_value:
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return [
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{"label": o, "value": key}
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for key, o in ui_elements.get_options(SessionHandler.session).items()
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for key, o in data_elements.get_options(SessionHandler.session).items()
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]
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return [
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{"label": o, "value": key}
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for key, o in ui_elements.get_options(SessionHandler.session).items()
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for key, o in data_elements.get_options(SessionHandler.session).items()
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if search_value.upper() in o.upper()
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]
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@ -1,11 +1,11 @@
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.company-header {
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.selection-header {
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float: left;
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background-color: var(--paynes-gray);
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border: 1px solid;
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width: 100%;
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}
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.company-header .company-header-title {
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.selection-header .selection-header-title {
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color: white;
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text-align: left;
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margin: 0;
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@ -1,13 +1,9 @@
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"""Dash elements."""
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import pandas as pd
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import plotly.graph_objs as go
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from cachetools import TTLCache, cached
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from dash import dash_table, dcc, html
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from sqlalchemy.engine import Engine
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from sqlalchemy.orm import Session
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from aki_prj23_transparenzregister.utils.sql import entities
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from aki_prj23_transparenzregister.ui import finance_elements
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COLORS = {
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"light": "#edefef",
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@ -19,132 +15,6 @@ COLORS = {
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}
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def get_company_data(session: Session) -> pd.DataFrame:
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"""Creates a session to the database and get's all available company data.
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Args:
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session: A session connecting to the database.
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Returns:
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A dataframe containing all available company data including the corresponding district court.
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"""
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query_company = session.query(entities.Company, entities.DistrictCourt.name).join(
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entities.DistrictCourt
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)
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engine = session.bind
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if not isinstance(engine, Engine):
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raise TypeError
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return pd.read_sql(str(query_company), engine, index_col="company_id")
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def get_finance_data(session: Session) -> pd.DataFrame:
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"""Collects all available company data.
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Args:
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session: A session connecting to the database.
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Returns:
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A dataframe containing all financial data of all companies.
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"""
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query_finance = session.query(
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entities.AnnualFinanceStatement, entities.Company.name, entities.Company.id
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).join(entities.Company)
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engine = session.bind
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if not isinstance(engine, Engine):
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raise TypeError
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return pd.read_sql(str(query_finance), engine)
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@cached( # type: ignore
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cache=TTLCache(maxsize=1, ttl=300),
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key=lambda session: 0 if session is None else str(session.bind),
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)
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def get_options(session: Session | None) -> dict[int, str]:
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"""Collects the search options for the companies.
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Args:
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session: A session connecting to the database.
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Returns:
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A dict containing the company id as key and its name.
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"""
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if not session:
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return {}
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return get_company_data(session)["company_name"].to_dict()
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def create_header(options: dict) -> html:
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"""Creates header for dashboard.
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Args:
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options: A dictionary with company names and ids for the dropdown.
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Returns:
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The html div to create the page's header including the name of the page and the search for companies.
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"""
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return html.Div(
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className="header-wrapper",
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children=[
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html.Div(
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className="header-title",
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children=[
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html.I(
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id="home-button",
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n_clicks=0,
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className="bi-house-door-fill",
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),
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html.H1(
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className="header-title-text",
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children="Transparenzregister für Kapitalgesellschaften",
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),
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],
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),
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html.Div(
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className="header-search",
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children=[
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html.Div(
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className="header-search-dropdown",
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children=[
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dcc.Dropdown(
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id="select_company",
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options=[
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{"label": o, "value": key}
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for key, o in options.items()
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],
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placeholder="Suche nach Unternehmen oder Person",
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),
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],
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),
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],
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),
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],
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)
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def create_company_header(selected_company_name: str) -> html:
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"""Create company header based on selected company.
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Args:
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selected_company_name: The company name that has been chosen in the dropdown.
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Returns:
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The html div to create the company header.
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"""
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return html.Div(
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className="company-header",
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children=[
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html.H1(
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className="company-header-title",
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id="id-company-header-title",
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children=selected_company_name,
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),
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],
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)
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def create_company_stats(selected_company_data: pd.Series) -> html:
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"""Create company stats.
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@ -314,7 +184,7 @@ def kennzahlen_layout(selected_finance_df: pd.DataFrame) -> html:
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return html.Div(
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[
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dcc.Graph(
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figure=financials_figure(
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figure=finance_elements.financials_figure(
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selected_finance_df, "annual_finance_statement_ebit"
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)
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)
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@ -322,37 +192,6 @@ def kennzahlen_layout(selected_finance_df: pd.DataFrame) -> html:
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)
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def financials_figure(selected_finance_df: pd.DataFrame, metric: str) -> go.Figure:
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"""Creates plotly line chart for a specific company and a metric.
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Args:
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selected_finance_df: A dataframe containing all finance information of the selected company.
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metric: The metric that should be visualized.
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Returns:
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A plotly figure showing the available metric data of the company.
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"""
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# create figure
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fig_line = go.Figure()
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# add trace for company 1
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fig_line.add_trace(
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go.Scatter(
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x=selected_finance_df["annual_finance_statement_date"],
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y=selected_finance_df[metric],
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line_color=COLORS["raisin-black"],
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marker_color=COLORS["raisin-black"],
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)
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)
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# set title and labels
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fig_line.update_layout(
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title=metric,
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xaxis_title="Jahr",
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yaxis_title="in Mio.€",
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plot_bgcolor=COLORS["light"],
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)
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return fig_line
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def network_layout(selected_company_id: int) -> html:
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"""Create network tab.
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@ -1,84 +0,0 @@
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"""Dash."""
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import dash_bootstrap_components as dbc
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from dash import Dash, Input, Output, callback, html
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from aki_prj23_transparenzregister.config.config_providers import (
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EnvironmentConfigProvider,
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)
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from aki_prj23_transparenzregister.ui.protection import add_auth
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from aki_prj23_transparenzregister.ui.ui_elements import (
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create_company_header,
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create_company_stats,
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create_header,
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create_tabs,
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get_company_data,
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get_finance_data,
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)
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from aki_prj23_transparenzregister.utils.sql import connector
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from aki_prj23_transparenzregister.utils.sql.connector import init_db
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if __name__ == "__main__":
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session = connector.get_session(EnvironmentConfigProvider())
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init_db(session)
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company_df = get_company_data(session)
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finance_df = get_finance_data(session)
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options = company_df["company_name"].to_dict()
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app = Dash(
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__name__, external_stylesheets=[dbc.icons.BOOTSTRAP]
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) # use dbc for icons
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add_auth(app)
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app.title = "Company Finance Data"
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app.layout = html.Div(
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className="page_content",
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children=[
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create_header(options),
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html.Div(id="id-company-header"),
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],
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)
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@callback(
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Output("select_company", "options"), Input("select_company", "search_value")
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)
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def update_options(search_value: str) -> list:
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"""Update dropdown options based on user input.
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Args:
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search_value: The input string in the dropdown field entered by the user.
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Returns:
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The available companies matching the input.
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"""
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if not search_value:
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return [{"label": o, "value": key} for key, o in options.items()]
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return [
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{"label": o, "value": key}
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for key, o in options.items()
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if search_value.upper() in o.upper()
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]
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@callback(Output("id-company-header", "children"), Input("select_company", "value"))
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def update_output(value_chosen: int) -> html:
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"""Update page based on chosen company.
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Args:
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value_chosen: Id of the selected company.
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Returns:
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The html divs of the company page.
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"""
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label = options.get(value_chosen)
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if not label:
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return ""
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selected_company = str(label)
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selected_company_stats = company_df.loc[value_chosen]
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selected_finance_df = finance_df.loc[finance_df["company_id"] == value_chosen]
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return (
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create_company_header(selected_company),
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create_company_stats(selected_company_stats),
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create_tabs(value_chosen, selected_finance_df),
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)
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app.run_server(debug=False)
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92
src/aki_prj23_transparenzregister/ui/data_elements.py
Normal file
92
src/aki_prj23_transparenzregister/ui/data_elements.py
Normal file
@ -0,0 +1,92 @@
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"""Data elements for Dash."""
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import pandas as pd
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from cachetools import TTLCache, cached
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from sqlalchemy.engine import Engine
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from sqlalchemy.orm import Session
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from aki_prj23_transparenzregister.utils.sql import entities
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def get_company_data(session: Session) -> pd.DataFrame:
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"""Creates a session to the database and get's all available company data.
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Args:
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session: A session connecting to the database.
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Returns:
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A dataframe containing all available company data including the corresponding district court.
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"""
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query_company = session.query(entities.Company, entities.DistrictCourt.name).join(
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entities.DistrictCourt
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)
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engine = session.bind
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if not isinstance(engine, Engine):
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raise TypeError
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return pd.read_sql(str(query_company), engine, index_col="company_id")
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def get_person_data(session: Session) -> pd.DataFrame:
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"""Creates a session to the database and get's all available company data.
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Args:
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session: A session connecting to the database.
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Returns:
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A dataframe containing all available company data including the corresponding district court.
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"""
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query_person = session.query(entities.Person)
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engine = session.bind
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if not isinstance(engine, Engine):
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raise TypeError
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return pd.read_sql(str(query_person), engine, index_col="person_id")
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def get_finance_data(session: Session) -> pd.DataFrame:
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"""Collects all available company data.
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Args:
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session: A session connecting to the database.
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Returns:
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A dataframe containing all financial data of all companies.
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"""
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query_finance = session.query(
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entities.AnnualFinanceStatement, entities.Company.name, entities.Company.id
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).join(entities.Company)
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engine = session.bind
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if not isinstance(engine, Engine):
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raise TypeError
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return pd.read_sql(str(query_finance), engine)
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@cached( # type: ignore
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cache=TTLCache(maxsize=1, ttl=300),
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key=lambda session: 0 if session is None else str(session.bind),
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)
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def get_options(session: Session | None) -> dict[int, str]:
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"""Collects the search options for the companies and persons.
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|
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Args:
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session: A session connecting to the database.
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|
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Returns:
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A dict containing person and company id's as key and their names.
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"""
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if not session:
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return {}
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persons = get_person_data(session).rename("p_{}".format)
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persons["person_lastname_firstname"] = (
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persons["person_surname"] + ", " + persons["person_name"]
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)
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persons_options = persons["person_lastname_firstname"]
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companies = get_company_data(session).rename("c_{}".format)
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companies_options = companies["company_name"]
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all_options = pd.concat([persons_options, companies_options])
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return all_options.sort_values(ascending=True).to_dict()
|
44
src/aki_prj23_transparenzregister/ui/finance_elements.py
Normal file
44
src/aki_prj23_transparenzregister/ui/finance_elements.py
Normal file
@ -0,0 +1,44 @@
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"""Finance elements for Dash."""
|
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|
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import pandas as pd
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import plotly.graph_objs as go
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|
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COLORS = {
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"light": "#edefef",
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"lavender-blush": "#f3e8ee",
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"ash-gray": "#bacdb0",
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"cambridge-blue": "#729b79",
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"paynes-gray": "#475b63",
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"raisin-black": "#2e2c2f",
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}
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|
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def financials_figure(selected_finance_df: pd.DataFrame, metric: str) -> go.Figure:
|
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"""Creates plotly line chart for a specific company and a metric.
|
||||
|
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Args:
|
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selected_finance_df: A dataframe containing all finance information of the selected company.
|
||||
metric: The metric that should be visualized.
|
||||
|
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Returns:
|
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A plotly figure showing the available metric data of the company.
|
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"""
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# create figure
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fig_line = go.Figure()
|
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# add trace for company 1
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fig_line.add_trace(
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go.Scatter(
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x=selected_finance_df["annual_finance_statement_date"],
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y=selected_finance_df[metric],
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line_color=COLORS["raisin-black"],
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marker_color=COLORS["raisin-black"],
|
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)
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)
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# set title and labels
|
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fig_line.update_layout(
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title=metric,
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xaxis_title="Jahr",
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yaxis_title="in Mio.€",
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plot_bgcolor=COLORS["light"],
|
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)
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return fig_line
|
72
src/aki_prj23_transparenzregister/ui/header_elements.py
Normal file
72
src/aki_prj23_transparenzregister/ui/header_elements.py
Normal file
@ -0,0 +1,72 @@
|
||||
"""Header elements for Dash."""
|
||||
|
||||
from dash import dcc, html
|
||||
|
||||
|
||||
def create_header(options: dict) -> html:
|
||||
"""Creates header for dashboard.
|
||||
|
||||
Args:
|
||||
options: A dictionary with company names and ids for the dropdown.
|
||||
|
||||
Returns:
|
||||
The html div to create the page's header including the name of the page and the search for companies.
|
||||
"""
|
||||
return html.Div(
|
||||
className="header-wrapper",
|
||||
children=[
|
||||
html.Div(
|
||||
className="header-title",
|
||||
children=[
|
||||
html.I(
|
||||
id="home-button",
|
||||
n_clicks=0,
|
||||
className="bi-house-door-fill",
|
||||
),
|
||||
html.H1(
|
||||
className="header-title-text",
|
||||
children="Transparenzregister für Kapitalgesellschaften",
|
||||
),
|
||||
],
|
||||
),
|
||||
html.Div(
|
||||
className="header-search",
|
||||
children=[
|
||||
html.Div(
|
||||
className="header-search-dropdown",
|
||||
children=[
|
||||
dcc.Dropdown(
|
||||
id="select_company",
|
||||
options=[
|
||||
{"label": o, "value": key}
|
||||
for key, o in options.items()
|
||||
],
|
||||
placeholder="Suche nach Unternehmen oder Person",
|
||||
),
|
||||
],
|
||||
),
|
||||
],
|
||||
),
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
def create_selection_header(selected_name: str) -> html:
|
||||
"""Create company header based on selected company.
|
||||
|
||||
Args:
|
||||
selected_name: The company or person name that has been chosen in the dropdown.
|
||||
|
||||
Returns:
|
||||
The html div to create the company or person header.
|
||||
"""
|
||||
return html.Div(
|
||||
className="selection-header",
|
||||
children=[
|
||||
html.H1(
|
||||
className="selection-header-title",
|
||||
id="id-selection-header-title",
|
||||
children=selected_name,
|
||||
),
|
||||
],
|
||||
)
|
@ -2,7 +2,11 @@
|
||||
import dash
|
||||
from dash import html
|
||||
|
||||
from aki_prj23_transparenzregister.ui import ui_elements
|
||||
from aki_prj23_transparenzregister.ui import (
|
||||
company_elements,
|
||||
data_elements,
|
||||
header_elements,
|
||||
)
|
||||
from aki_prj23_transparenzregister.ui.session_handler import SessionHandler
|
||||
|
||||
dash.register_page(
|
||||
@ -26,13 +30,13 @@ def layout(value: str = "1") -> html:
|
||||
raise ValueError("Initialise the session first.")
|
||||
company_id = int(value)
|
||||
# get all necessary data of the selected company
|
||||
selected_company_stats = ui_elements.get_company_data(session).loc[company_id]
|
||||
selected_company_stats = data_elements.get_company_data(session).loc[company_id]
|
||||
selected_company_name = selected_company_stats.loc["company_name"]
|
||||
finance_df = ui_elements.get_finance_data(session)
|
||||
finance_df = data_elements.get_finance_data(session)
|
||||
selected_finance_df = finance_df.loc[finance_df["company_id"] == value]
|
||||
# create all company page divs
|
||||
return (
|
||||
ui_elements.create_company_header(selected_company_name),
|
||||
ui_elements.create_company_stats(selected_company_stats),
|
||||
ui_elements.create_tabs(company_id, selected_finance_df),
|
||||
header_elements.create_selection_header(selected_company_name),
|
||||
company_elements.create_company_stats(selected_company_stats),
|
||||
company_elements.create_tabs(company_id, selected_finance_df),
|
||||
)
|
||||
|
35
src/aki_prj23_transparenzregister/ui/pages/person.py
Normal file
35
src/aki_prj23_transparenzregister/ui/pages/person.py
Normal file
@ -0,0 +1,35 @@
|
||||
"""Person detail page."""
|
||||
import dash
|
||||
from dash import html
|
||||
|
||||
from aki_prj23_transparenzregister.ui import data_elements, header_elements
|
||||
from aki_prj23_transparenzregister.ui.session_handler import SessionHandler
|
||||
|
||||
dash.register_page(
|
||||
__name__, path_template="/Personendetails/<value>", title="Personendetails"
|
||||
)
|
||||
|
||||
|
||||
def layout(value: str = "1") -> html:
|
||||
"""Defines the layout of the person detail page.
|
||||
|
||||
Args:
|
||||
value: Person id of the chosen person on the home page dropdown.
|
||||
|
||||
Returns:
|
||||
The html divs for the person page.
|
||||
"""
|
||||
if not value:
|
||||
return html.Div("Diese Seite kann nicht angezeigt werden.")
|
||||
session = SessionHandler.session
|
||||
if not session:
|
||||
raise ValueError("Initialise the session first.")
|
||||
person_id = int(value)
|
||||
# get all necessary data of the selected person
|
||||
selected_person_stats = data_elements.get_person_data(session).loc[person_id]
|
||||
selected_person_name = (
|
||||
selected_person_stats["person_name"]
|
||||
+ " "
|
||||
+ selected_person_stats["person_surname"]
|
||||
)
|
||||
return header_elements.create_selection_header(selected_person_name)
|
1
src/aki_prj23_transparenzregister/ui/person_elements.py
Normal file
1
src/aki_prj23_transparenzregister/ui/person_elements.py
Normal file
@ -0,0 +1 @@
|
||||
"""Dash elements for person page."""
|
@ -31,9 +31,9 @@ def test_go_to_home() -> None:
|
||||
assert output == "/"
|
||||
|
||||
|
||||
def test_go_to_company_page() -> None:
|
||||
"""Checks if the go_to_company_page callback yields a result."""
|
||||
output = app.go_to_company_page(1)
|
||||
def test_go_to_detail_page() -> None:
|
||||
"""Checks if the go_to_detail_page callback yields a result."""
|
||||
output = app.go_to_detail_page("c_1")
|
||||
assert output == "/Unternehmensdetails/1"
|
||||
|
||||
|
||||
|
38
tests/ui/company_elements_test.py
Normal file
38
tests/ui/company_elements_test.py
Normal file
@ -0,0 +1,38 @@
|
||||
"""Tests for company elements."""
|
||||
|
||||
from sqlalchemy.orm import Session
|
||||
|
||||
from aki_prj23_transparenzregister.ui import company_elements, data_elements
|
||||
|
||||
|
||||
def test_import() -> None:
|
||||
"""Checks if an import co ui_elements can be made."""
|
||||
assert company_elements is not None
|
||||
|
||||
|
||||
def test_create_company_stats(full_db: Session) -> None:
|
||||
"""Checks if the company widgets can be created."""
|
||||
company_df = data_elements.get_company_data(full_db)
|
||||
value_chosen = 1
|
||||
selected_company_stats = company_df.loc[value_chosen]
|
||||
company_elements.create_company_stats(selected_company_stats)
|
||||
|
||||
|
||||
def test_create_tabs(full_db: Session) -> None:
|
||||
"""Checks if the tabs of the company page can be created."""
|
||||
selected_company_id = 1
|
||||
finance_df = data_elements.get_finance_data(full_db)
|
||||
selected_finance_df = finance_df.loc[
|
||||
finance_df["company_id"] == selected_company_id
|
||||
]
|
||||
company_elements.create_tabs(selected_company_id, selected_finance_df)
|
||||
|
||||
|
||||
def test_kennzahlen_layout(full_db: Session) -> None:
|
||||
"""Checks if the financial metric layout of the company page can be created."""
|
||||
selected_company_id = 1
|
||||
finance_df = data_elements.get_finance_data(full_db)
|
||||
selected_finance_df = finance_df.loc[
|
||||
finance_df["company_id"] == selected_company_id
|
||||
]
|
||||
company_elements.kennzahlen_layout(selected_finance_df)
|
@ -1,7 +0,0 @@
|
||||
"""Test for the company stats dashboard."""
|
||||
from aki_prj23_transparenzregister.ui import company_finance_dash
|
||||
|
||||
|
||||
def test_import() -> None:
|
||||
"""Checks if an import co company_stats_dash can be made."""
|
||||
assert company_finance_dash is not None
|
@ -1,19 +1,19 @@
|
||||
"""Tests for ui elements."""
|
||||
"""Tests for data elements."""
|
||||
|
||||
import pandas as pd
|
||||
from sqlalchemy.orm import Session
|
||||
|
||||
from aki_prj23_transparenzregister.ui import ui_elements
|
||||
from aki_prj23_transparenzregister.ui import data_elements
|
||||
|
||||
|
||||
def test_import() -> None:
|
||||
"""Checks if an import co ui_elements can be made."""
|
||||
assert ui_elements is not None
|
||||
assert data_elements is not None
|
||||
|
||||
|
||||
def test_get_company_data(full_db: Session) -> None:
|
||||
"""Checks if data from the company and district court tables can be accessed."""
|
||||
company_df = ui_elements.get_company_data(full_db)
|
||||
company_df = data_elements.get_company_data(full_db)
|
||||
|
||||
test_data = pd.DataFrame(
|
||||
{
|
||||
@ -50,7 +50,7 @@ def test_get_company_data(full_db: Session) -> None:
|
||||
|
||||
def test_get_finance_data(full_db: Session) -> None:
|
||||
"""Checks if data from the company and finance tables can be accessed."""
|
||||
finance_df = ui_elements.get_finance_data(full_db)
|
||||
finance_df = data_elements.get_finance_data(full_db)
|
||||
test_data = pd.DataFrame(
|
||||
{
|
||||
"annual_finance_statement_id": {0: 1, 1: 2},
|
||||
@ -79,43 +79,3 @@ def test_get_finance_data(full_db: Session) -> None:
|
||||
}
|
||||
)
|
||||
pd.testing.assert_frame_equal(finance_df, test_data)
|
||||
|
||||
|
||||
def test_create_header() -> None:
|
||||
"""Checks if the header can be created."""
|
||||
options = {1: "a", 2: "b"}
|
||||
ui_elements.create_header(options)
|
||||
|
||||
|
||||
def test_create_company_header() -> None:
|
||||
"""Checks if the company header can be created."""
|
||||
selected_company = "Test GmbH"
|
||||
ui_elements.create_company_header(selected_company)
|
||||
|
||||
|
||||
def test_create_company_stats(full_db: Session) -> None:
|
||||
"""Checks if the company widgets can be created."""
|
||||
company_df = ui_elements.get_company_data(full_db)
|
||||
value_chosen = 1
|
||||
selected_company_stats = company_df.loc[value_chosen]
|
||||
ui_elements.create_company_stats(selected_company_stats)
|
||||
|
||||
|
||||
def test_create_tabs(full_db: Session) -> None:
|
||||
"""Checks if the tabs of the company page can be created."""
|
||||
selected_company_id = 1
|
||||
finance_df = ui_elements.get_finance_data(full_db)
|
||||
selected_finance_df = finance_df.loc[
|
||||
finance_df["company_id"] == selected_company_id
|
||||
]
|
||||
ui_elements.create_tabs(selected_company_id, selected_finance_df)
|
||||
|
||||
|
||||
def test_kennzahlen_layout(full_db: Session) -> None:
|
||||
"""Checks if the financial metric layout of the company page can be created."""
|
||||
selected_company_id = 1
|
||||
finance_df = ui_elements.get_finance_data(full_db)
|
||||
selected_finance_df = finance_df.loc[
|
||||
finance_df["company_id"] == selected_company_id
|
||||
]
|
||||
ui_elements.kennzahlen_layout(selected_finance_df)
|
20
tests/ui/header_elements_test.py
Normal file
20
tests/ui/header_elements_test.py
Normal file
@ -0,0 +1,20 @@
|
||||
"""Tests for header elements."""
|
||||
|
||||
from aki_prj23_transparenzregister.ui import header_elements
|
||||
|
||||
|
||||
def test_import() -> None:
|
||||
"""Checks if an import co ui_elements can be made."""
|
||||
assert header_elements is not None
|
||||
|
||||
|
||||
def test_create_header() -> None:
|
||||
"""Checks if the header can be created."""
|
||||
options = {1: "a", 2: "b"}
|
||||
header_elements.create_header(options)
|
||||
|
||||
|
||||
def test_create_selection_header() -> None:
|
||||
"""Checks if the company header can be created."""
|
||||
selected_company = "Test GmbH"
|
||||
header_elements.create_selection_header(selected_company)
|
27
tests/ui/person_page_test.py
Normal file
27
tests/ui/person_page_test.py
Normal file
@ -0,0 +1,27 @@
|
||||
"""Tests for the person page dashboard."""
|
||||
from collections.abc import Generator
|
||||
|
||||
import pytest
|
||||
from sqlalchemy.orm import Session
|
||||
|
||||
from aki_prj23_transparenzregister.ui.pages import person
|
||||
from aki_prj23_transparenzregister.ui.session_handler import SessionHandler
|
||||
|
||||
|
||||
@pytest.fixture(autouse=True)
|
||||
def _set_session(full_db: Session) -> Generator[None, None, None]:
|
||||
"""Sets a session for the dash application to be used."""
|
||||
SessionHandler.session = full_db
|
||||
yield
|
||||
SessionHandler.session = None
|
||||
|
||||
|
||||
def test_import() -> None:
|
||||
"""Checks if an import of the company page can be made."""
|
||||
assert person is not None
|
||||
|
||||
|
||||
def test_layout() -> None:
|
||||
"""Checks if the company page can be created."""
|
||||
selected_company_id = "2"
|
||||
person.layout(selected_company_id)
|
Reference in New Issue
Block a user