Removed dead docstrings

Jupyter/NetworkX/archive_prod/networkx_dash.py

@@ -11,14 +11,7 @@ test_company = 13  # 2213 # 13
 
 
 def find_company_relations(company_id: int) -> pd.DataFrame:
-    """_summary_.
-
-    Args:
-        company_id (int): _description_
-
-    Returns:
-        pd.DataFrame: _description_
-    """
+    """_summary_."""
     session = connector.get_session(JsonFileConfigProvider("./secrets.json"))
     query_companies = session.query(entities.Company)
     query_relations = session.query(entities.CompanyRelation)
@@ -54,14 +47,7 @@ def find_company_relations(company_id: int) -> pd.DataFrame:
 
 # Plotly figure
 def network_graph(company_id: int) -> go.Figure:
-    """_summary_.
-
-    Args:
-        company_id (int): _description_
-
-    Returns:
-        go.Figure: _description_
-    """
+    """_summary_."""
     edges = []
     for _, row in find_company_relations(company_id).iterrows():
         edges.append([row["company_name"], row["connected_company_name"]])
@@ -136,14 +122,7 @@ def network_graph(company_id: int) -> go.Figure:
 
 
 def networkx_component(company_id: int) -> html.Div:
-    """Retruns the Layout with a Graph.
-
-    Args:
-        company_id (int): _description_
-
-    Returns:
-        any: _description_
-    """
+    """Returns the Layout with a Graph."""
     return html.Div(
         [
             dcc.Graph(id="my-graph", figure=network_graph(company_id)),

Jupyter/NetworkX/archive_prod/networkx_dash_overall.py

@@ -11,11 +11,7 @@ test_company = 13  # 2213 # 13
 
 
 def find_all_company_relations() -> pd.DataFrame:
-    """Searches for all companies and their relation in the DB.
-
-    Returns:
-        pd.DataFrame: _description_
-    """
+    """Searches for all companies and their relation in the DB."""
     session = connector.get_session(JsonFileConfigProvider("./secrets.json"))
     query_companies = session.query(entities.Company)  # .all()
     query_relations = session.query(entities.CompanyRelation)  # .all()
@@ -57,11 +53,7 @@ def find_all_company_relations() -> pd.DataFrame:
 
 # Plotly figure
 def create_network_graph() -> go.Figure:
-    """Create a NetworkX Graph.
-
-    Returns:
-        go.Figure: _description_
-    """
+    """Create a NetworkX Graph."""
     edges = []
     for _, row in find_all_company_relations().iterrows():
         edges.append([row["company_name"], row["connected_company_name"]])

src/aki_prj23_transparenzregister/utils/mongo/company_mongo_service.py

@@ -13,11 +13,7 @@ class CompanyMongoService:
     """Wrapper for MongoDB regarding management of Company documents."""
 
     def __init__(self, connector: MongoConnector):
-        """Constructor.
-
-        Args:
-            connector (MongoConnector): _description_
-        """
+        """Constructor."""
         self.collection = connector.database["companies"]
         self.lock = Lock()  # Create a lock for synchronization
 
@@ -137,14 +133,7 @@ class CompanyMongoService:
         return malformed_entries
 
     def insert(self, company: Company) -> InsertOneResult:
-        """Insert a new Company document.
-
-        Args:
-            company (Company): _description_
-
-        Returns:
-            _description_
-        """
+        """Insert a new Company document."""
         with self.lock:
             return self.collection.insert_one(company.to_dict())
 

src/aki_prj23_transparenzregister/utils/mongo/news_mongo_service.py

@@ -9,11 +9,7 @@ class MongoNewsService:
     """Wrapper for MongoDB regarding News documents."""
 
     def __init__(self, connector: MongoConnector):
-        """Constructor.
-
-        Args:
-            connector (MongoConnector): _description_
-        """
+        """Constructor."""
         self.collection = connector.database["news"]
 
     def get_all(self) -> list[News]:

src/aki_prj23_transparenzregister/utils/networkx/networkx_data.py

@@ -1,8 +1,10 @@
 """Module to receive and filter Data for working with NetworkX."""
+import os
 from functools import lru_cache
 
 import networkx as nx
 import pandas as pd
+from cachetools import TTLCache, cached
 from sqlalchemy.orm import aliased
 
 from aki_prj23_transparenzregister.ui.session_handler import SessionHandler
@@ -24,12 +26,11 @@ COLOR_COMPANY = "#006250"
 COLOR_PERSON = "#ff5200"
 
 
+@cached(  # type: ignore
+    cache=TTLCache(maxsize=100, ttl=int(os.getenv("PYTHON_CACHE_TTL", "3600")))
+)
 def find_all_company_relations() -> pd.DataFrame:
-    """_summary_.
-
-    Returns:
-        pd.DataFrame: _description_
-    """
+    """_summary_."""
     session = SessionHandler.session
     assert session  # noqa: S101
     query_companies = session.query(entities.Company)  # .all()
@@ -64,7 +65,7 @@ def find_all_company_relations() -> pd.DataFrame:
 
 
 def get_all_company_relations() -> pd.DataFrame:
-    """This Methods makes a Database Request for all Companies and their relations, modifies the ID Column and returns the Result as an DataFrame.
+    """Makes a Database Request for all Companies and their relations, modifies the ID Column and returns the Result as an DataFrame.
 
     Returns:
         DataFrame: DataFrame with all Relations between Companies.
@@ -102,7 +103,11 @@ def get_all_company_relations() -> pd.DataFrame:
     return company_relations
 
 
-def get_all_person_relations() -> pd.DataFrame:
+@cached(  # type: ignore
+    cache=TTLCache(maxsize=100, ttl=int(os.getenv("PYTHON_CACHE_TTL", "3600"))),
+    key=lambda drop_min_person_links: hash(drop_min_person_links),
+)
+def get_all_person_relations(drop_min_person_links: bool) -> pd.DataFrame:
     """These method makes a Database Request for all Persons and their relations, modifies the ID Column and returns the Result as an DataFrame.
 
     Returns:
@@ -137,7 +142,8 @@ def get_all_person_relations() -> pd.DataFrame:
     person_relations["id_person"] = person_relations["id_person"].apply(
         lambda x: f"p_{x}"
     )
-
+    if drop_min_person_links:
+        return person_relations.groupby("id_person").filter(lambda x: len(x) > 1)
     return person_relations
 
 
@@ -163,15 +169,7 @@ def filter_relation_type(
 def create_edge_and_node_list(
     person_relations: pd.DataFrame, company_relations: pd.DataFrame
 ) -> tuple[dict, list]:
-    """In this Method the given DataFrames with the relation will be morphed to Edge and Node lists and enhanced by a coloring for companies and person Nodes.
-
-    Args:
-        person_relations (pd.DataFrame): _description_
-        company_relations (pd.DataFrame): _description_
-
-    Returns:
-        _description_
-    """
+    """In this Method the given DataFrames with the relation will be morphed to Edge and Node lists and enhanced by a coloring for companies and person Nodes."""
     nodes: dict = {}
     edges: list = []
 
@@ -332,15 +330,7 @@ def find_person_relations(
 def create_edge_and_node_list_for_company(
     company_relations: pd.DataFrame,
 ) -> tuple[dict, list]:
-    """In this Method the given DataFrames with the relation will be morphed to Edge and Node lists and enhanced by a coloring for companies and person Nodes.
-
-    Args:
-        person_relations (pd.DataFrame): _description_
-        company_relations (pd.DataFrame): _description_
-
-    Returns:
-        _description_
-    """
+    """In this Method the given DataFrames with the relation will be morphed to Edge and Node lists and enhanced by a coloring for companies and person Nodes."""
     nodes: dict = {}
     edges: list = []
 
@@ -374,12 +364,9 @@ def get_all_metrics_from_id(company_id: int) -> pd.Series:
 
     Args:
         company_id (int): Id of the Company.
-
-    Returns:
-        pd.DataFrame: _description_
     """
     # Get Data
-    person_df = get_all_person_relations()
+    person_df = get_all_person_relations(False)
     company_df = get_all_company_relations()
 
     # Create Edge and Node List from data
@@ -412,11 +399,9 @@ def get_relations_number_from_id(id: str) -> tuple[int, int, int]:
     Args:
         id: String of the Company or Person Id.
 
-    Returns:
-        tuple[int,int,int]: _description_
     """
     # Get Data
-    person_df = get_all_person_relations()
+    person_df = get_all_person_relations(False)
     company_df = get_all_company_relations()
 
     # Create Edge and Node List from data
@@ -457,7 +442,7 @@ def get_relations_until_level_3(id: str) -> tuple[dict, list]:
        tuple[dict, list]: nodes, edges
     """
     # Get Data
-    person_df = get_all_person_relations()
+    person_df = get_all_person_relations(False)
     company_df = get_all_company_relations()
 
     # Create Edge and Node List from data