Philipp/aki_prj23_transparenzregister
Philipp/aki_prj23_transparenzregister
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now ruff confirm

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This commit is contained in:
Tim 2023-11-05 16:12:38 +01:00
parent f2ac0eda91
commit f38728450d
9 changed files with 78 additions and 64 deletions
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14
src/aki_prj23_transparenzregister/ui/archive/networkx_dash_overall.py
View File

@ -56,12 +56,9 @@ def find_all_company_relations() -> pd.DataFrame:
# Plotly figure
def network_graph() -> go.Figure:
def create_network_graph() -> go.Figure:
"""Create a NetworkX Graph.
Args:
EGDE_VAR (None): _description_
Returns:
go.Figure: _description_
"""
@ -175,16 +172,13 @@ app.layout = html.Div(
# Input('metric-dropdown', 'value'),
[Input("EGDE_VAR", "value")],
)
def update_output(edge_var: None) -> go.Figure:
def update_output() -> go.Figure:
"""Just Returns the go Figure of Plotly.
Args:
EGDE_VAR (None): _description_
Returns:
go.Figure: _description_
go.Figure: Returns a HTML Figure for Plotly.
"""
return network_graph(edge_var)
return create_network_graph()
if __name__ == "__main__":

45
src/aki_prj23_transparenzregister/ui/pages/home.py
View File

@ -383,10 +383,15 @@ def update_figure( # noqa: PLR0913
"""In this Callback the Value of the Dropdown is used to filter the Data. In Addition it takes the filter for the Graph metrics and creates a new graph, or switches between 3D and 2D.
Args:
selected_metric (_type_): _description_
switch_value (bool): _description_
c_relation_filter_value (_type_): _description_
p_relation_filter_value (_type_): _description_
selected_metric (_type_): Selected Value
switch_value (bool): True if 2D, False if 3D
switch_edge_annotaion_value: True if Edge should have a description, Flase = No Descritpion
c_relation_filter_value (_type_): Variable with String value of Relation Type for Companies
p_relation_filter_value (_type_): Variable with String value of Relation Type for Persons
layout: String of the Layout Dropdown
metric_dropdown_value: String of the Metric Dropdown
slider_value: Sets the size of the Edge Connections
Returns:
Network Graph(Plotly Figure): Plotly Figure in 3 or 2D
@ -415,21 +420,21 @@ def update_figure( # noqa: PLR0913
slider_value, # type: ignore
),
)
else:
return (
table_dict,
table_columns,
create_3d_graph(
graph,
nodes,
edges,
metrics,
selected_metric,
layout,
switch_edge_annotaion_value,
slider_value, # type: ignore
),
)
return (
table_dict,
table_columns,
create_3d_graph(
graph,
nodes,
edges,
metrics,
selected_metric,
layout,
switch_edge_annotaion_value,
slider_value, # type: ignore
),
)
@callback(
@ -438,7 +443,7 @@ def update_figure( # noqa: PLR0913
Input("dropdown_data_soruce_filter", "value"),
],
)
def update_Dropdown(datasource_value: str) -> str:
def update_dropdown(datasource_value: str) -> str:
"""_summary_.
Args:

5
src/aki_prj23_transparenzregister/utils/networkx/network_2d.py
View File

@ -5,7 +5,7 @@ import pandas as pd
import plotly.graph_objects as go
def create_2d_graph(
def create_2d_graph( # noqa PLR0913
graph: nx.Graph,
nodes: dict,
edges: list,
@ -23,6 +23,9 @@ def create_2d_graph(
edges (_type_): List of Edges
metrics (_type_): DataFrame with the MEtrics
metric (_type_): Selected Metric
edge_annotation: Enables the Description of Edges
edge_thickness: Int Value of the Edge thickness
layout: String which defines the Graph Layout
Returns:
_type_: Plotly Figure

24
src/aki_prj23_transparenzregister/utils/networkx/networkx_data.py
View File

@ -277,6 +277,14 @@ def create_edge_and_node_list(
def find_company_relations(
selected_company_id: int,
) -> tuple[pd.DataFrame, pd.DataFrame]:
"""Finds all Relations for the given Company id.
Args:
selected_company_id: Id of the Company which Relations should be returned.
Returns:
Two Dataframes
"""
relations_company_query = (
session.query(
to_company.id.label("id_company_to"),
@ -343,16 +351,14 @@ def create_edge_and_node_list_for_company(
nodes: dict = {}
edges: list = []
COLOR_COMPANY = "blue"
for _index, row in company_relations.iterrows():
if node := nodes.get(row["id_company_from"]) is None:
for _, row in company_relations.iterrows():
if nodes.get(row["id_company_from"]) is None:
nodes[row["id_company_from"]] = {
"id": row["id_company_from"],
"name": row["name_company_from"],
"color": COLOR_COMPANY,
}
if node := nodes.get(row["id_company_to"]) is None:
if nodes.get(row["id_company_to"]) is None:
nodes[row["id_company_to"]] = {
"id": row["id_company_to"],
"name": row["name_company_to"],
@ -369,10 +375,10 @@ def create_edge_and_node_list_for_company(
def get_all_metrics_from_id(company_id: int) -> pd.Series:
"""_summary_
"""Returns all Metric for the given ID.
Args:
company_id (int): _description_
company_id (int): Id of the Company.
Returns:
pd.DataFrame: _description_
@ -391,10 +397,10 @@ def get_all_metrics_from_id(company_id: int) -> pd.Series:
@lru_cache
def get_relations_number_from_id(id: str) -> tuple[int, int, int]:
"""_summary_
"""Returns all Relation in 1, 2 and 3 lvl of one Node.
Args:
company_id (int): _description_
id (int): String of the Company or Person Id.
Returns:
tuple[int,int,int]: _description_

4
tests/ui/networkx_dash_test.py
View File

@ -1,7 +1,7 @@
"""Test for the NetworkX Component."""
from aki_prj23_transparenzregister.ui import networkx_dash
from aki_prj23_transparenzregister.ui.archive import networkx_dash
def network_graph(Edges: None) -> None:
def network_graph(edges: None) -> None:
"""Checks if an import co company_stats_dash can be made."""
assert networkx_dash is not None

11
tests/utils/networkx/network_2d_test.py
View File

@ -29,7 +29,10 @@ def test_initialize_network() -> None:
graph, metrics = initialize_network(edges=edges, nodes=nodes)
assert type(graph) is nx.Graph
assert type(metrics) is pd.DataFrame
assert (
list(metrics.columns)
== ["degree", "eigenvector", "betweeness", "closeness", "pagerank"],
)
assert list(metrics.columns) == [
"degree",
"eigenvector",
"betweeness",
"closeness",
"pagerank",
]

14
tests/utils/networkx/network_3d_test.py
View File

@ -1,14 +1,11 @@
"""Test the initialize Network function."""
import datetime
from unittest import TestCase
import networkx as nx
import pandas as pd
from aki_prj23_transparenzregister.utils.networkx.network_base import initialize_network
tc = TestCase()
def test_initialize_network() -> None:
edges: list = [
@ -32,7 +29,10 @@ def test_initialize_network() -> None:
graph, metrics = initialize_network(edges=edges, nodes=nodes)
assert type(graph) is nx.Graph
assert type(metrics) is pd.DataFrame
tc.assertListEqual(
list(metrics.columns),
["degree", "eigenvector", "betweeness", "closeness", "pagerank"],
)
assert list(metrics.columns) == [
"degree",
"eigenvector",
"betweeness",
"closeness",
"pagerank",
]

11
tests/utils/networkx/network_base_test.py
View File

@ -31,7 +31,10 @@ def test_initialize_network() -> None:
graph, metrics = initialize_network(edges=edges, nodes=nodes)
assert isinstance(graph, nx.Graph)
assert isinstance(metrics, pd.DataFrame)
assert (
list(metrics.columns)
== ["degree", "eigenvector", "betweeness", "closeness", "pagerank"],
)
assert list(metrics.columns) == [
"degree",
"eigenvector",
"betweeness",
"closeness",
"pagerank",
]

14
tests/utils/networkx/networkx_data_test.py
View File

@ -1,14 +1,11 @@
"""Test the initialize Network function."""
import datetime
from unittest import TestCase
import networkx as nx
import pandas as pd
from aki_prj23_transparenzregister.utils.networkx.network_base import initialize_network
tc = TestCase()
def test_initialize_network() -> None:
edges: list = [
@ -32,7 +29,10 @@ def test_initialize_network() -> None:
graph, metrics = initialize_network(edges=edges, nodes=nodes)
assert type(graph) is nx.Graph
assert type(metrics) is pd.DataFrame
tc.assertListEqual(
list(metrics.columns),
["degree", "eigenvector", "betweeness", "closeness", "pagerank"],
)
assert list(metrics.columns) == [
"degree",
"eigenvector",
"betweeness",
"closeness",
"pagerank",
]