diff --git a/src/aki_prj23_transparenzregister/ui/assets/network_graph.html b/src/aki_prj23_transparenzregister/ui/assets/network_graph.html new file mode 100644 index 0000000..d8a61cf --- /dev/null +++ b/src/aki_prj23_transparenzregister/ui/assets/network_graph.html @@ -0,0 +1,272 @@ + + + + + + + + + +
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+ + + + + diff --git a/src/aki_prj23_transparenzregister/ui/pages/home.py b/src/aki_prj23_transparenzregister/ui/pages/home.py index 61fd8c4..18fa631 100644 --- a/src/aki_prj23_transparenzregister/ui/pages/home.py +++ b/src/aki_prj23_transparenzregister/ui/pages/home.py @@ -1,13 +1,14 @@ """Content of home page.""" import dash -from dash import html -import pandas as pd import networkx as nx +import pandas as pd import plotly.graph_objects as go -from dash import Dash, Input, Output, dcc, html, callback, dash_table -from aki_prj23_transparenzregister.config.config_providers import JsonFileConfigProvider -from aki_prj23_transparenzregister.utils.sql import connector, entities -from aki_prj23_transparenzregister.utils.networkx.networkx_data import find_top_companies, find_all_company_relations +from dash import Input, Output, callback, html + +from aki_prj23_transparenzregister.utils.networkx.networkx_data import ( + find_all_company_relations, + find_top_companies, +) dash.register_page( __name__, @@ -21,10 +22,11 @@ dash.register_page( ], ) + # Plotly figure def networkGraph(EGDE_VAR: None) -> go.Figure: # find_all_company_relations() - + edges = [] for index, row in find_all_company_relations().iterrows(): edges.append([row["company_name"], row["connected_company_name"]]) @@ -92,12 +94,11 @@ def networkGraph(EGDE_VAR: None) -> go.Figure: "mirror": True, }, } - + print(nx.eigenvector_centrality(network_graph)) measure_vector = {} network_metrics_df = pd.DataFrame() - measure_vector = nx.eigenvector_centrality(network_graph) network_metrics_df["eigenvector"] = measure_vector.values() @@ -120,31 +121,43 @@ def networkGraph(EGDE_VAR: None) -> go.Figure: # figure return go.Figure(data=[edge_trace, node_trace], layout=layout) + df = find_top_companies() +with open("src/aki_prj23_transparenzregister/ui/assets/network_graph.html") as file: + html_content = file.read() + + layout = html.Div( - - children = html.Div( - children=[ - html.Div( - className="top_companytable_style", - children=[ - html.Title(title="Top Ten Unternehmen", style={"align": "mid"}), - dash_table.DataTable(df.to_dict('records'), [{"name": i, "id": i} for i in df.columns]) - ] - ), - html.Div( - className="networkx_style", - children=[ - html.Header(title="Social Graph"), - dcc.Dropdown(['eigenvector', 'degree', 'betweeness', 'closeness'], 'eigenvector', id='demo-dropdown'), - "Text", - dcc.Input(id="EGDE_VAR", type="text", value="K", debounce=True), - # dcc.Dropdown(['eigenvector', 'degree', 'betweeness', 'closeness'], 'eigenvector', id='metric-dropdown'), - dcc.Graph(id="my-graph"), - ] - ) - ] - ) + children=[ + # NOTE lib dir created by NetworkX has to be placed in assets + html.Iframe( + src="assets/network_graph.html", + style={"height": "100vh", "width": "100vw"}, + allow="*", + ) + ] + # children = html.Div( + # children=[ + # html.Div( + # className="top_companytable_style", + # children=[ + # html.Title(title="Top Ten Unternehmen", style={"align": "mid"}), + # dash_table.DataTable(df.to_dict('records'), [{"name": i, "id": i} for i in df.columns]) + # ] + # ), + # html.Div( + # className="networkx_style", + # children=[ + # html.Header(title="Social Graph"), + # dcc.Dropdown(['eigenvector', 'degree', 'betweeness', 'closeness'], 'eigenvector', id='demo-dropdown'), + # "Text", + # dcc.Input(id="EGDE_VAR", type="text", value="K", debounce=True), + # # dcc.Dropdown(['eigenvector', 'degree', 'betweeness', 'closeness'], 'eigenvector', id='metric-dropdown'), + # dcc.Graph(id="my-graph"), + # ] + # ) + # ] + # ) ) @@ -155,4 +168,4 @@ layout = html.Div( ) def update_output(EGDE_VAR: None) -> None: find_top_companies() - return networkGraph(EGDE_VAR) \ No newline at end of file + return networkGraph(EGDE_VAR) diff --git a/src/aki_prj23_transparenzregister/utils/networkx/Dev.ipynb b/src/aki_prj23_transparenzregister/utils/networkx/Dev.ipynb new file mode 100644 index 0000000..6d3b746 --- /dev/null +++ b/src/aki_prj23_transparenzregister/utils/networkx/Dev.ipynb @@ -0,0 +1,645 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from aki_prj23_transparenzregister.utils.sql import connector, entities\n", + "from aki_prj23_transparenzregister.config.config_providers import JsonFileConfigProvider\n", + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32m2023-09-30 13:33:34.846\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36maki_prj23_transparenzregister.utils.sql.connector\u001b[0m:\u001b[36mget_session\u001b[0m:\u001b[36m64\u001b[0m - \u001b[34m\u001b[1mConnection definition: Postgre configuration: username: postgres, password d7fd8b09788c6787d4d0aa9e549e467d, host 172.17.38.210:30432, database db_tim., Mongo configuration: username: aki_transparenzregister, password ZOh0f2KFtJXjTgBD, host stagingdbtransparenzreg.ioappzs.mongodb.net/:None, database transparenzregister.\u001b[0m\n" + ] + } + ], + "source": [ + "session = connector.get_session(JsonFileConfigProvider(\"../../../../secrets.json\"))\n", + "query_companies = session.query(entities.Company) # .all()\n", + "query_relations = session.query(entities.CompanyRelation) # .all()\n", + "\n", + "companies_df: pd.DataFrame = pd.read_sql(str(query_companies), session.bind) # type: ignore\n", + "companies_relations_df: pd.DataFrame = pd.read_sql(str(query_relations), session.bind) # type: ignore" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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company_idcompany_hrcompany_court_idcompany_namecompany_streetcompany_zip_codecompany_citycompany_last_updatecompany_sector
01HRB 14804810 10 24 Telefondienste GmbHDeelbögenkamp22297Hamburg2020-05-11None
12HRA 30111421. Staiger Grundstücksverwaltung GmbH & Co. KGJohannes-Bieg-Str.874391Erligheim2020-05-04None
23HRA 72001531 A Autenrieth Kunststofftechnik GmbH & Co. KGGewerbestraße72535Heroldstatt2016-08-23None
34HRB 97262101050.com GmbHDeelbögenkamp22297Hamburg2020-05-13None
45HRA 1761742. Schaper Objekt GmbH & Co. Kiel KGMetro-Straße40235Düsseldorf2021-05-27None
..............................
31423143HRB 1387458WINGAS Holding GmbHKönigstor34117Kassel2023-03-28None
31433144HRB 715914WohnServicePlus GmbHFlughafenstraße40474Düsseldorf2022-03-29None
31443145HRB 5297102Wohnungsbaugesellschaft mit beschränkter Haftu...Taubenstraße47443Moers2022-02-16None
31453146HRA 48546 B12Zalando Customer Care International SE & Co. KGMühlenstraße10243Berlin2021-11-26None
31463147HRB 3820189zebotec GmbHAugust-Borsig-Straße78467Konstanz2021-12-15None
\n", + "

3147 rows × 9 columns

\n", + "
" + ], + "text/plain": [ + " company_id company_hr company_court_id \\\n", + "0 1 HRB 148048 1 \n", + "1 2 HRA 301114 2 \n", + "2 3 HRA 720015 3 \n", + "3 4 HRB 97262 1 \n", + "4 5 HRA 17617 4 \n", + "... ... ... ... \n", + "3142 3143 HRB 13874 58 \n", + "3143 3144 HRB 71591 4 \n", + "3144 3145 HRB 5297 102 \n", + "3145 3146 HRA 48546 B 12 \n", + "3146 3147 HRB 382018 9 \n", + "\n", + " company_name company_street \\\n", + "0 0 10 24 Telefondienste GmbH Deelbögenkamp \n", + "1 1. Staiger Grundstücksverwaltung GmbH & Co. KG Johannes-Bieg-Str.8 \n", + "2 1 A Autenrieth Kunststofftechnik GmbH & Co. KG Gewerbestraße \n", + "3 01050.com GmbH Deelbögenkamp \n", + "4 2. Schaper Objekt GmbH & Co. Kiel KG Metro-Straße \n", + "... ... ... \n", + "3142 WINGAS Holding GmbH Königstor \n", + "3143 WohnServicePlus GmbH Flughafenstraße \n", + "3144 Wohnungsbaugesellschaft mit beschränkter Haftu... Taubenstraße \n", + "3145 Zalando Customer Care International SE & Co. KG Mühlenstraße \n", + "3146 zebotec GmbH August-Borsig-Straße \n", + "\n", + " company_zip_code company_city company_last_update company_sector \n", + "0 22297 Hamburg 2020-05-11 None \n", + "1 74391 Erligheim 2020-05-04 None \n", + "2 72535 Heroldstatt 2016-08-23 None \n", + "3 22297 Hamburg 2020-05-13 None \n", + "4 40235 Düsseldorf 2021-05-27 None \n", + "... ... ... ... ... \n", + "3142 34117 Kassel 2023-03-28 None \n", + "3143 40474 Düsseldorf 2022-03-29 None \n", + "3144 47443 Moers 2022-02-16 None \n", + "3145 10243 Berlin 2021-11-26 None \n", + "3146 78467 Konstanz 2021-12-15 None \n", + "\n", + "[3147 rows x 9 columns]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "companies_df" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "def to_dict(data: object):\n", + " return data.__dict__" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'company_1': {'label': '0 10 24 Telefondienste GmbH', 'type': 'Company', 'shape': 'dot', 'color': '#729b79ff'}, 'person_1': {'label': 'Tetau, Nicolas', 'type': 'Person', 'shape': 'dot', 'color': 'blue'}, 'person_2': {'label': 'Dammast, Lutz', 'type': 'Person', 'shape': 'dot', 'color': 'blue'}, 'company_2': {'label': '1. Staiger Grundstücksverwaltung GmbH & Co. KG', 'type': 'Company', 'shape': 'dot', 'color': '#729b79ff'}, 'person_3': {'label': 'Tutsch, Rosemarie', 'type': 'Person', 'shape': 'dot', 'color': 'blue'}, 'person_4': {'label': 'Staiger, Marc', 'type': 'Person', 'shape': 'dot', 'color': 'blue'}, 'person_5': {'label': 'Staiger, Michaela', 'type': 'Person', 'shape': 'dot', 'color': 'blue'}, 'person_6': {'label': 'Staiger, Margarete', 'type': 'Person', 'shape': 'dot', 'color': 'blue'}, 'person_7': {'label': 'Staiger, Bruno', 'type': 'Person', 'shape': 'dot', 'color': 'blue'}, 'person_8': {'label': 'Hofmann, Nicole', 'type': 'Person', 'shape': 'dot', 'color': 'blue'}, 'company_3': {'label': '1 A Autenrieth Kunststofftechnik GmbH & Co. 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'type': 'Person', 'shape': 'dot', 'color': 'blue'}, 'person_77': {'label': 'Göhringer, Günther', 'type': 'Person', 'shape': 'dot', 'color': 'blue'}, 'person_78': {'label': 'Haar, Klaus-Peter', 'type': 'Person', 'shape': 'dot', 'color': 'blue'}, 'person_79': {'label': 'Hamann, Knud', 'type': 'Person', 'shape': 'dot', 'color': 'blue'}, 'person_80': {'label': 'Hansen, Joachim', 'type': 'Person', 'shape': 'dot', 'color': 'blue'}, 'person_81': {'label': 'Haueisen, Bernd', 'type': 'Person', 'shape': 'dot', 'color': 'blue'}, 'person_82': {'label': 'Haug, Arthur', 'type': 'Person', 'shape': 'dot', 'color': 'blue'}, 'person_83': {'label': 'Hebeler, Robert', 'type': 'Person', 'shape': 'dot', 'color': 'blue'}, 'person_84': {'label': 'Hefehäuser, Hans Willi', 'type': 'Person', 'shape': 'dot', 'color': 'blue'}, 'person_85': {'label': 'Heft, Frank', 'type': 'Person', 'shape': 'dot', 'color': 'blue'}, 'person_86': {'label': 'Helmig, Werner Dieter', 'type': 'Person', 'shape': 'dot', 'color': 'blue'}, 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" + ], + "text/plain": [ + " index label type shape \\\n", + "0 company_1 0 10 24 Telefondienste GmbH Company dot \n", + "1 person_1 Tetau, Nicolas Person dot \n", + "2 person_2 Dammast, Lutz Person dot \n", + "3 company_2 1. Staiger Grundstücksverwaltung GmbH & Co. KG Company dot \n", + "4 person_3 Tutsch, Rosemarie Person dot \n", + "\n", + " color \n", + "0 #729b79ff \n", + "1 blue \n", + "2 blue \n", + "3 #729b79ff \n", + "4 blue " + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from aki_prj23_transparenzregister.utils.enum_types import RelationTypeEnum\n", + "\n", + "\n", + "def get_data():\n", + " nodes = {}\n", + " edges = []\n", + " network_data = []\n", + " edge_template = {\n", + " \"from\": {\n", + " \"name\": \"Hans Wurst\",\n", + " \"type\": \"Person\",\n", + " },\n", + " \"to\": {\"name\": \"Atos :D\", \"type\": \"Company\"},\n", + " \"type\": \"Vorstand\",\n", + " }\n", + " node_template = {\n", + " \"id\": \"(company|person)_\\d\",\n", + " \"label\": \"Name from entries\",\n", + " \"type\": \"Company|Person\",\n", + " \"shape\": \"dot\",\n", + " \"color\": \"#729b79ff\",\n", + " # TODO add title for hover effect in graph \"title\": \"\"\n", + " }\n", + " data = session.query(entities.Relation).all()\n", + " for entry in data[:1000]:\n", + " company = (\n", + " session.query(entities.Company)\n", + " .filter(entities.Company.id == entry.company_id)\n", + " .first()\n", + " )\n", + " if (\"company_\" + str(company.id)) not in nodes:\n", + " nodes[\"company_\" + str(company.id)] = {\n", + " \"label\": company.name,\n", + " \"type\": \"Company\",\n", + " \"shape\": \"dot\",\n", + " \"color\": \"#729b79ff\",\n", + " }\n", + " person_relations = (\n", + " session.query(entities.PersonRelation)\n", + " .filter(entities.PersonRelation.id == entry.id)\n", + " .all()\n", + " )\n", + " for relation in person_relations:\n", + " person = (\n", + " session.query(entities.Person)\n", + " .filter(entities.Person.id == relation.person_id)\n", + " .first()\n", + " )\n", + " if (\"person_\" + str(person.id)) not in nodes:\n", + " nodes[\"person_\" + str(person.id)] = {\n", + " \"label\": f\"{person.surname}, {person.name}\",\n", + " \"type\": \"Person\",\n", + " \"shape\": \"dot\",\n", + " \"color\": \"blue\",\n", + " }\n", + " edges.append(\n", + " {\n", + " \"from\": \"person_\" + str(person.id),\n", + " \"to\": \"company_\" + str(company.id),\n", + " # \"label\": int(entry.relation)\n", + " \"label\": RelationTypeEnum.get_string_from_enum(entry.relation),\n", + " }\n", + " )\n", + " company_relations = (\n", + " session.query(entities.CompanyRelation)\n", + " .filter(entities.CompanyRelation.id == entry.id)\n", + " .all()\n", + " )\n", + " for relation in company_relations:\n", + " company_2 = (\n", + " session.query(entities.Company)\n", + " .filter(entities.Company.id == relation.company2_id)\n", + " .first()\n", + " )\n", + " if (\"company_\" + str(company_2.id)) not in nodes:\n", + " nodes[\"company_\" + str(company_2.id)] = {\n", + " \"label\": company_2.name,\n", + " \"type\": \"Company\",\n", + " \"shape\": \"dot\",\n", + " \"color\": \"#729b79ff\",\n", + " }\n", + " edges.append(\n", + " {\n", + " \"from\": \"company_\" + str(company_2.id),\n", + " \"to\": \"company_\" + str(company.id),\n", + " \"label\": RelationTypeEnum.get_string_from_enum(entry.relation),\n", + " }\n", + " )\n", + " return pd.DataFrame.from_dict(nodes, orient=\"index\").reset_index(), pd.DataFrame(\n", + " edges\n", + " )\n", + "\n", + "\n", + "nodes, edges = get_data()\n", + "nodes.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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fromtolabel
0person_1company_1Geschäftsführer
1person_2company_1Prokurist
2person_3company_2Kommanditist
3person_4company_2Kommanditist
4person_5company_2Kommanditist
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" + ], + "text/plain": [ + " from to label\n", + "0 person_1 company_1 Geschäftsführer\n", + "1 person_2 company_1 Prokurist\n", + "2 person_3 company_2 Kommanditist\n", + "3 person_4 company_2 Kommanditist\n", + "4 person_5 company_2 Kommanditist" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "edges.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import networkx as nx\n", + "import matplotlib.pyplot as plt\n", + "\n", + "fig = plt.figure(figsize=(12, 12))\n", + "ax = plt.subplot(111)\n", + "ax.set_title(\"Graph - Shapes\", fontsize=10)\n", + "\n", + "# initiate graph\n", + "graph = nx.MultiGraph()\n", + "\n", + "# create edges from dataframe\n", + "graph = nx.from_pandas_edgelist(edges, source=\"from\", target=\"to\", edge_attr=\"label\")\n", + "\n", + "# update node attributes from dataframe\n", + "nodes_attr = nodes.set_index(\"index\").to_dict(orient=\"index\")\n", + "nx.set_node_attributes(graph, nodes_attr)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "from pyvis.network import Network\n", + "\n", + "net = Network(\n", + " directed=False, neighborhood_highlight=True, bgcolor=\"white\", font_color=\"black\"\n", + ")\n", + "\n", + "# pass networkx graph to pyvis\n", + "net.from_nx(graph)\n", + "\n", + "net.inherit_edge_colors(False)\n", + "net.set_edge_smooth(\"dynamic\")\n", + "\n", + "net.repulsion()\n", + "net.show_buttons()\n", + "\n", + "# save graph as HTML\n", + "net.save_graph(\"./tmp.html\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "aki-prj23-transparenzregister-jVJfu35g-py3.11", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.3" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/src/aki_prj23_transparenzregister/utils/networkx/network_graph.html b/src/aki_prj23_transparenzregister/utils/networkx/network_graph.html new file mode 100644 index 0000000..d8a61cf --- /dev/null +++ b/src/aki_prj23_transparenzregister/utils/networkx/network_graph.html @@ -0,0 +1,272 @@ + + + + + + + + + +
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