175 create person page (#178)

Created person page and updated search bar in the header to search for persons

src/aki_prj23_transparenzregister/ui/app.py

@@ -11,7 +11,7 @@ from aki_prj23_transparenzregister.config.config_providers import (
     HELP_TEXT_CONFIG,
     get_config_provider,
 )
-from aki_prj23_transparenzregister.ui import ui_elements
+from aki_prj23_transparenzregister.ui import data_elements, header_elements
 from aki_prj23_transparenzregister.ui.session_handler import SessionHandler
 from aki_prj23_transparenzregister.utils.logger_config import (
     add_logger_options_to_argparse,
@@ -26,7 +26,9 @@ app = Dash(
 app.layout = html.Div(
     className="page_content",
     children=[
-        ui_elements.create_header(ui_elements.get_options(SessionHandler.session)),
+        header_elements.create_header(
+            data_elements.get_options(SessionHandler.session)
+        ),
         dash.page_container,
         dcc.Location(id="url", refresh=True),
     ],
@@ -55,16 +57,21 @@ def go_to_home(click: int) -> str:
     Input("select_company", "value"),
     prevent_initial_call=True,
 )
-def go_to_company_page(value: int) -> str:
+def go_to_detail_page(id: str) -> str:
     """Updates pages after selecting a company or using the home button.
 
     Args:
-        value: Represents the company id of the chosen company in the dropdown
+        id: Represents the company or person id of the chosen company or person in the dropdown menu.
 
     Returns:
         Returns the href of the company page.
     """
-    return f"/Unternehmensdetails/{value}"
+    if id.startswith("p_"):
+        page = "/Personendetails/"
+    if id.startswith("c_"):
+        page = "/Unternehmensdetails/"
+    chosen_id = id.split("_", 1)[1]
+    return f"{page}{chosen_id}"
 
 
 @app.callback(
@@ -83,11 +90,11 @@ def update_options(search_value: str) -> list:
     if not search_value:
         return [
             {"label": o, "value": key}
-            for key, o in ui_elements.get_options(SessionHandler.session).items()
+            for key, o in data_elements.get_options(SessionHandler.session).items()
         ]
     return [
         {"label": o, "value": key}
-        for key, o in ui_elements.get_options(SessionHandler.session).items()
+        for key, o in data_elements.get_options(SessionHandler.session).items()
         if search_value.upper() in o.upper()
     ]
 

src/aki_prj23_transparenzregister/ui/assets/company_stats.css

@@ -1,11 +1,11 @@
-.company-header {
+.selection-header {
     float: left;
     background-color: var(--paynes-gray);
     border: 1px solid;
     width: 100%;
 }
 
-.company-header .company-header-title {
+.selection-header .selection-header-title {
     color: white;
     text-align: left;
     margin: 0;

src/aki_prj23_transparenzregister/ui/company_elements.py

@@ -1,13 +1,9 @@
 """Dash elements."""
 
 import pandas as pd
-import plotly.graph_objs as go
-from cachetools import TTLCache, cached
 from dash import dash_table, dcc, html
-from sqlalchemy.engine import Engine
-from sqlalchemy.orm import Session
 
-from aki_prj23_transparenzregister.utils.sql import entities
+from aki_prj23_transparenzregister.ui import finance_elements
 
 COLORS = {
     "light": "#edefef",
@@ -19,132 +15,6 @@ COLORS = {
 }
 
 
-def get_company_data(session: Session) -> pd.DataFrame:
-    """Creates a session to the database and get's all available company data.
-
-    Args:
-        session: A session connecting to the database.
-
-    Returns:
-        A dataframe containing all available company data including the corresponding district court.
-    """
-    query_company = session.query(entities.Company, entities.DistrictCourt.name).join(
-        entities.DistrictCourt
-    )
-    engine = session.bind
-    if not isinstance(engine, Engine):
-        raise TypeError
-
-    return pd.read_sql(str(query_company), engine, index_col="company_id")
-
-
-def get_finance_data(session: Session) -> pd.DataFrame:
-    """Collects all available company data.
-
-    Args:
-        session: A session connecting to the database.
-
-    Returns:
-        A dataframe containing all financial data of all companies.
-    """
-    query_finance = session.query(
-        entities.AnnualFinanceStatement, entities.Company.name, entities.Company.id
-    ).join(entities.Company)
-
-    engine = session.bind
-    if not isinstance(engine, Engine):
-        raise TypeError
-
-    return pd.read_sql(str(query_finance), engine)
-
-
-@cached(  # type: ignore
-    cache=TTLCache(maxsize=1, ttl=300),
-    key=lambda session: 0 if session is None else str(session.bind),
-)
-def get_options(session: Session | None) -> dict[int, str]:
-    """Collects the search options for the companies.
-
-    Args:
-        session: A session connecting to the database.
-
-    Returns:
-        A dict containing the company id as key and its name.
-    """
-    if not session:
-        return {}
-    return get_company_data(session)["company_name"].to_dict()
-
-
-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_company_header(selected_company_name: str) -> html:
-    """Create company header based on selected company.
-
-    Args:
-        selected_company_name: The company name that has been chosen in the dropdown.
-
-    Returns:
-        The html div to create the company header.
-    """
-    return html.Div(
-        className="company-header",
-        children=[
-            html.H1(
-                className="company-header-title",
-                id="id-company-header-title",
-                children=selected_company_name,
-            ),
-        ],
-    )
-
-
 def create_company_stats(selected_company_data: pd.Series) -> html:
     """Create company stats.
 
@@ -314,7 +184,7 @@ def kennzahlen_layout(selected_finance_df: pd.DataFrame) -> html:
     return html.Div(
         [
             dcc.Graph(
-                figure=financials_figure(
+                figure=finance_elements.financials_figure(
                     selected_finance_df, "annual_finance_statement_ebit"
                 )
             )
@@ -322,37 +192,6 @@ def kennzahlen_layout(selected_finance_df: pd.DataFrame) -> html:
     )
 
 
-def financials_figure(selected_finance_df: pd.DataFrame, metric: str) -> go.Figure:
-    """Creates plotly line chart for a specific company and a metric.
-
-    Args:
-        selected_finance_df: A dataframe containing all finance information of the selected company.
-        metric: The metric that should be visualized.
-
-    Returns:
-        A plotly figure showing the available metric data of the company.
-    """
-    # create figure
-    fig_line = go.Figure()
-    # add trace for company 1
-    fig_line.add_trace(
-        go.Scatter(
-            x=selected_finance_df["annual_finance_statement_date"],
-            y=selected_finance_df[metric],
-            line_color=COLORS["raisin-black"],
-            marker_color=COLORS["raisin-black"],
-        )
-    )
-    # set title and labels
-    fig_line.update_layout(
-        title=metric,
-        xaxis_title="Jahr",
-        yaxis_title="in Mio.€",
-        plot_bgcolor=COLORS["light"],
-    )
-    return fig_line
-
-
 def network_layout(selected_company_id: int) -> html:
     """Create network tab.
 

src/aki_prj23_transparenzregister/ui/company_finance_dash.py

@@ -1,84 +0,0 @@
-"""Dash."""
-
-import dash_bootstrap_components as dbc
-from dash import Dash, Input, Output, callback, html
-
-from aki_prj23_transparenzregister.config.config_providers import (
-    EnvironmentConfigProvider,
-)
-from aki_prj23_transparenzregister.ui.protection import add_auth
-from aki_prj23_transparenzregister.ui.ui_elements import (
-    create_company_header,
-    create_company_stats,
-    create_header,
-    create_tabs,
-    get_company_data,
-    get_finance_data,
-)
-from aki_prj23_transparenzregister.utils.sql import connector
-from aki_prj23_transparenzregister.utils.sql.connector import init_db
-
-if __name__ == "__main__":
-    session = connector.get_session(EnvironmentConfigProvider())
-    init_db(session)
-    company_df = get_company_data(session)
-    finance_df = get_finance_data(session)
-    options = company_df["company_name"].to_dict()
-
-    app = Dash(
-        __name__, external_stylesheets=[dbc.icons.BOOTSTRAP]
-    )  # use dbc for icons
-    add_auth(app)
-    app.title = "Company Finance Data"
-
-    app.layout = html.Div(
-        className="page_content",
-        children=[
-            create_header(options),
-            html.Div(id="id-company-header"),
-        ],
-    )
-
-    @callback(
-        Output("select_company", "options"), Input("select_company", "search_value")
-    )
-    def update_options(search_value: str) -> list:
-        """Update dropdown options based on user input.
-
-        Args:
-            search_value: The input string in the dropdown field entered by the user.
-
-        Returns:
-            The available companies matching the input.
-        """
-        if not search_value:
-            return [{"label": o, "value": key} for key, o in options.items()]
-        return [
-            {"label": o, "value": key}
-            for key, o in options.items()
-            if search_value.upper() in o.upper()
-        ]
-
-    @callback(Output("id-company-header", "children"), Input("select_company", "value"))
-    def update_output(value_chosen: int) -> html:
-        """Update page based on chosen company.
-
-        Args:
-            value_chosen: Id of the selected company.
-
-        Returns:
-            The html divs of the company page.
-        """
-        label = options.get(value_chosen)
-        if not label:
-            return ""
-        selected_company = str(label)
-        selected_company_stats = company_df.loc[value_chosen]
-        selected_finance_df = finance_df.loc[finance_df["company_id"] == value_chosen]
-        return (
-            create_company_header(selected_company),
-            create_company_stats(selected_company_stats),
-            create_tabs(value_chosen, selected_finance_df),
-        )
-
-    app.run_server(debug=False)

src/aki_prj23_transparenzregister/ui/data_elements.py

@@ -0,0 +1,92 @@
+"""Data elements for Dash."""
+
+import pandas as pd
+from cachetools import TTLCache, cached
+from sqlalchemy.engine import Engine
+from sqlalchemy.orm import Session
+
+from aki_prj23_transparenzregister.utils.sql import entities
+
+
+def get_company_data(session: Session) -> pd.DataFrame:
+    """Creates a session to the database and get's all available company data.
+
+    Args:
+        session: A session connecting to the database.
+
+    Returns:
+        A dataframe containing all available company data including the corresponding district court.
+    """
+    query_company = session.query(entities.Company, entities.DistrictCourt.name).join(
+        entities.DistrictCourt
+    )
+    engine = session.bind
+    if not isinstance(engine, Engine):
+        raise TypeError
+
+    return pd.read_sql(str(query_company), engine, index_col="company_id")
+
+
+def get_person_data(session: Session) -> pd.DataFrame:
+    """Creates a session to the database and get's all available company data.
+
+    Args:
+        session: A session connecting to the database.
+
+    Returns:
+        A dataframe containing all available company data including the corresponding district court.
+    """
+    query_person = session.query(entities.Person)
+    engine = session.bind
+    if not isinstance(engine, Engine):
+        raise TypeError
+
+    return pd.read_sql(str(query_person), engine, index_col="person_id")
+
+
+def get_finance_data(session: Session) -> pd.DataFrame:
+    """Collects all available company data.
+
+    Args:
+        session: A session connecting to the database.
+
+    Returns:
+        A dataframe containing all financial data of all companies.
+    """
+    query_finance = session.query(
+        entities.AnnualFinanceStatement, entities.Company.name, entities.Company.id
+    ).join(entities.Company)
+
+    engine = session.bind
+    if not isinstance(engine, Engine):
+        raise TypeError
+
+    return pd.read_sql(str(query_finance), engine)
+
+
+@cached(  # type: ignore
+    cache=TTLCache(maxsize=1, ttl=300),
+    key=lambda session: 0 if session is None else str(session.bind),
+)
+def get_options(session: Session | None) -> dict[int, str]:
+    """Collects the search options for the companies and persons.
+
+    Args:
+        session: A session connecting to the database.
+
+    Returns:
+        A dict containing person and company id's as key and their names.
+    """
+    if not session:
+        return {}
+
+    persons = get_person_data(session).rename("p_{}".format)
+    persons["person_lastname_firstname"] = (
+        persons["person_surname"] + ", " + persons["person_name"]
+    )
+    persons_options = persons["person_lastname_firstname"]
+    companies = get_company_data(session).rename("c_{}".format)
+    companies_options = companies["company_name"]
+    all_options = pd.concat([persons_options, companies_options])
+
+    return all_options.sort_values(ascending=True).to_dict()

src/aki_prj23_transparenzregister/ui/finance_elements.py

@@ -0,0 +1,44 @@
+"""Finance elements for Dash."""
+
+import pandas as pd
+import plotly.graph_objs as go
+
+COLORS = {
+    "light": "#edefef",
+    "lavender-blush": "#f3e8ee",
+    "ash-gray": "#bacdb0",
+    "cambridge-blue": "#729b79",
+    "paynes-gray": "#475b63",
+    "raisin-black": "#2e2c2f",
+}
+
+
+def financials_figure(selected_finance_df: pd.DataFrame, metric: str) -> go.Figure:
+    """Creates plotly line chart for a specific company and a metric.
+
+    Args:
+        selected_finance_df: A dataframe containing all finance information of the selected company.
+        metric: The metric that should be visualized.
+
+    Returns:
+        A plotly figure showing the available metric data of the company.
+    """
+    # create figure
+    fig_line = go.Figure()
+    # add trace for company 1
+    fig_line.add_trace(
+        go.Scatter(
+            x=selected_finance_df["annual_finance_statement_date"],
+            y=selected_finance_df[metric],
+            line_color=COLORS["raisin-black"],
+            marker_color=COLORS["raisin-black"],
+        )
+    )
+    # set title and labels
+    fig_line.update_layout(
+        title=metric,
+        xaxis_title="Jahr",
+        yaxis_title="in Mio.€",
+        plot_bgcolor=COLORS["light"],
+    )
+    return fig_line

src/aki_prj23_transparenzregister/ui/header_elements.py

@@ -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,
+            ),
+        ],
+    )

src/aki_prj23_transparenzregister/ui/pages/company.py

@@ -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),
     )

src/aki_prj23_transparenzregister/ui/pages/person.py

@@ -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)

src/aki_prj23_transparenzregister/ui/person_elements.py

@@ -0,0 +1 @@
+"""Dash elements for person page."""

tests/ui/app_test.py

@@ -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"
 
 

tests/ui/company_elements_test.py

@@ -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)

tests/ui/company_finance_dash_test.py

@@ -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

tests/ui/data_elements_test.py

@@ -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)

tests/ui/header_elements_test.py

@@ -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)

tests/ui/person_page_test.py

@@ -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)