Added test

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Tim committed 2023-11-10 18:56:51 +01:00
1 parent 41af7e2d18
commit 410b690873
18 files changed
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@@ -1,272 +1,272 @@
<html>
<head>
<meta charset="utf-8">
<script src="lib/bindings/utils.js"></script>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/vis-network/9.1.2/dist/dist/vis-network.min.css" integrity="sha512-WgxfT5LWjfszlPHXRmBWHkV2eceiWTOBvrKCNbdgDYTHrT2AeLCGbF4sZlZw3UMN3WtL0tGUoIAKsu8mllg/XA==" crossorigin="anonymous" referrerpolicy="no-referrer" />
<script src="https://cdnjs.cloudflare.com/ajax/libs/vis-network/9.1.2/dist/vis-network.min.js" integrity="sha512-LnvoEWDFrqGHlHmDD2101OrLcbsfkrzoSpvtSQtxK3RMnRV0eOkhhBN2dXHKRrUU8p2DGRTk35n4O8nWSVe1mQ==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>
<center>
<h1></h1>
</center>
<!-- <link rel="stylesheet" href="../node_modules/vis/dist/vis.min.css" type="text/css" />
<script type="text/javascript" src="../node_modules/vis/dist/vis.js"> </script>-->
<link
href="https://cdn.jsdelivr.net/npm/bootstrap@5.0.0-beta3/dist/css/bootstrap.min.css"
rel="stylesheet"
integrity="sha384-eOJMYsd53ii+scO/bJGFsiCZc+5NDVN2yr8+0RDqr0Ql0h+rP48ckxlpbzKgwra6"
crossorigin="anonymous"
/>
<script
src="https://cdn.jsdelivr.net/npm/bootstrap@5.0.0-beta3/dist/js/bootstrap.bundle.min.js"
integrity="sha384-JEW9xMcG8R+pH31jmWH6WWP0WintQrMb4s7ZOdauHnUtxwoG2vI5DkLtS3qm9Ekf"
crossorigin="anonymous"
></script>
<center>
<h1></h1>
</center>
<style type="text/css">
#mynetwork {
width: 100%;
height: 600px;
background-color: white;
border: 1px solid lightgray;
position: relative;
float: left;
}
#loadingBar {
position:absolute;
top:0px;
left:0px;
width: 100%;
height: 600px;
background-color:rgba(200,200,200,0.8);
-webkit-transition: all 0.5s ease;
-moz-transition: all 0.5s ease;
-ms-transition: all 0.5s ease;
-o-transition: all 0.5s ease;
transition: all 0.5s ease;
opacity:1;
}
#bar {
position:absolute;
top:0px;
left:0px;
width:20px;
height:20px;
margin:auto auto auto auto;
border-radius:11px;
border:2px solid rgba(30,30,30,0.05);
background: rgb(0, 173, 246); /* Old browsers */
box-shadow: 2px 0px 4px rgba(0,0,0,0.4);
}
#border {
position:absolute;
top:10px;
left:10px;
width:500px;
height:23px;
margin:auto auto auto auto;
box-shadow: 0px 0px 4px rgba(0,0,0,0.2);
border-radius:10px;
}
#text {
position:absolute;
top:8px;
left:530px;
width:30px;
height:50px;
margin:auto auto auto auto;
font-size:22px;
color: #000000;
}
div.outerBorder {
position:relative;
top:400px;
width:600px;
height:44px;
margin:auto auto auto auto;
border:8px solid rgba(0,0,0,0.1);
background: rgb(252,252,252); /* Old browsers */
background: -moz-linear-gradient(top, rgba(252,252,252,1) 0%, rgba(237,237,237,1) 100%); /* FF3.6+ */
background: -webkit-gradient(linear, left top, left bottom, color-stop(0%,rgba(252,252,252,1)), color-stop(100%,rgba(237,237,237,1))); /* Chrome,Safari4+ */
background: -webkit-linear-gradient(top, rgba(252,252,252,1) 0%,rgba(237,237,237,1) 100%); /* Chrome10+,Safari5.1+ */
background: -o-linear-gradient(top, rgba(252,252,252,1) 0%,rgba(237,237,237,1) 100%); /* Opera 11.10+ */
background: -ms-linear-gradient(top, rgba(252,252,252,1) 0%,rgba(237,237,237,1) 100%); /* IE10+ */
background: linear-gradient(to bottom, rgba(252,252,252,1) 0%,rgba(237,237,237,1) 100%); /* W3C */
filter: progid:DXImageTransform.Microsoft.gradient( startColorstr='#fcfcfc', endColorstr='#ededed',GradientType=0 ); /* IE6-9 */
border-radius:72px;
box-shadow: 0px 0px 10px rgba(0,0,0,0.2);
}
#config {
float: left;
width: 400px;
height: 600px;
}
</style>
</head>
<body>
<div class="card" style="width: 100%">
<div id="mynetwork" class="card-body"></div>
</div>
<div id="loadingBar">
<div class="outerBorder">
<div id="text">0%</div>
<div id="border">
<div id="bar"></div>
</div>
</div>
</div>
<div id="config"></div>
<script type="text/javascript">
// initialize global variables.
var edges;
var nodes;
var allNodes;
var allEdges;
var nodeColors;
var originalNodes;
var network;
var container;
var options, data;
var filter = {
item : '',
property : '',
value : []
};
// This method is responsible for drawing the graph, returns the drawn network
function drawGraph() {
var container = document.getElementById('mynetwork');
// parsing and collecting nodes and edges from the python
nodes = new vis.DataSet([{"color": "blue", "font": {"color": "black"}, "id": "person_1", "label": "Nicolas, Tetau", "shape": "dot", "size": 10, "type": "Person"}, {"color": "#729b79ff", "font": {"color": "black"}, "id": "company_1", "label": "0 10 24 Telefondienste GmbH", "shape": "dot", "size": 10, "type": "Company"}, {"color": "#729b79ff", "font": {"color": "black"}, "id": "company_4", "label": "01050.com GmbH", "shape": "dot", "size": 10, "type": "Company"}, {"color": "blue", "font": {"color": "black"}, "id": "person_2", "label": "Lutz, Dammast", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_3", "label": "Rosemarie, Tutsch", "shape": "dot", "size": 10, "type": "Person"}, {"color": "#729b79ff", "font": {"color": "black"}, "id": "company_2", "label": "1. Staiger Grundst\u00fccksverwaltung GmbH \u0026 Co. KG", "shape": "dot", "size": 10, "type": "Company"}, {"color": "blue", "font": {"color": "black"}, "id": "person_4", "label": "Marc, Staiger", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_5", "label": "Michaela, Staiger", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_6", "label": "Margarete, Staiger", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_7", "label": "Bruno, Staiger", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_8", "label": "Nicole, Hofmann", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_9", "label": "Steffen, Autenrieth", "shape": "dot", "size": 10, "type": "Person"}, {"color": "#729b79ff", "font": {"color": "black"}, "id": "company_3", "label": "1 A Autenrieth Kunststofftechnik GmbH \u0026 Co. KG", "shape": "dot", "size": 10, "type": "Company"}, {"color": "blue", "font": {"color": "black"}, "id": "person_10", "label": "Stefanie, Bischoff", "shape": "dot", "size": 10, "type": "Person"}, {"color": "#729b79ff", "font": {"color": "black"}, "id": "company_2213", "label": "Multi-Center Warenvertriebs GmbH", "shape": "dot", "size": 10, "type": "Company"}, {"color": "#729b79ff", "font": {"color": "black"}, "id": "company_5", "label": "2. Schaper Objekt GmbH \u0026 Co. Kiel KG", "shape": "dot", "size": 10, "type": "Company"}, {"color": "blue", "font": {"color": "black"}, "id": "person_11", "label": "Christel, Achilles", "shape": "dot", "size": 10, "type": "Person"}, {"color": "#729b79ff", "font": {"color": "black"}, "id": "company_6", "label": "AASP Filmproduktionsgesellschaft mbH \u0026 Co. Leonie KG", "shape": "dot", "size": 10, "type": "Company"}, {"color": "blue", "font": {"color": "black"}, "id": "person_12", "label": "Wilhelm, Ackermann", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_13", "label": "Harald, Ahrens", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_14", "label": "Mohamed Maged, Al Sibai", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_15", "label": "Salim, Al-Bazaz", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_16", "label": "Marina, Attawar", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_17", "label": "Ankica, Babic-Pavicic", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_18", "label": "Ingo, Bak", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_19", "label": "Christoph, Becker", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_20", "label": "Olaf, Becker", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_21", "label": "Rainer, Berg", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_22", "label": "Pieter, Berkhout", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_23", "label": "Bernhard, Berns", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_24", "label": "Franz-Hartwig, Betz", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_25", "label": "Claus, Birken", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_26", "label": "Helmut, Blessing", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_27", "label": "Heinz G., Bohnet", "shape": "doLine truncated
edges = new vis.DataSet([{"from": "person_1", "label": "Gesch\u00e4ftsf\u00fchrer(in)", "to": "company_1", "width": 1}, {"from": "person_1", "label": "Gesch\u00e4ftsf\u00fchrer(in)", "to": "company_4", "width": 1}, {"from": "company_1", "label": "Prokurist(in)", "to": "person_2", "width": 1}, {"from": "person_2", "label": "Prokurist(in)", "to": "company_4", "width": 1}, {"from": "person_3", "label": "Kommanditist(in)", "to": "company_2", "width": 1}, {"from": "company_2", "label": "Kommanditist(in)", "to": "person_4", "width": 1}, {"from": "company_2", "label": "Kommanditist(in)", "to": "person_5", "width": 1}, {"from": "company_2", "label": "Kommanditist(in)", "to": "person_6", "width": 1}, {"from": "company_2", "label": "Kommanditist(in)", "to": "person_7", "width": 1}, {"from": "company_2", "label": "Kommanditist(in)", "to": "person_8", "width": 1}, {"from": "person_9", "label": "Kommanditist(in)", "to": "company_3", "width": 1}, {"from": "company_3", "label": "Prokurist(in)", "to": "person_10", "width": 1}, {"from": "company_2213", "label": "Kommanditist(in)", "to": "company_5", "width": 1}, {"from": "person_11", "label": "Kommanditist(in)", "to": "company_6", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_12", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_13", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_14", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_15", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_16", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_17", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_18", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_19", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_20", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_21", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_22", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_23", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_24", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_25", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_26", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_27", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_28", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_29", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_30", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_31", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_32", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_33", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_34", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_35", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_36", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_37", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_38", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_39", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_40", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_41", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_42", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_43", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_44", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_45", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_46", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_47", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_48", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_49", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_50", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_51", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_52", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_53", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_54", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_55", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_56", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)",Line truncated
nodeColors = {};
allNodes = nodes.get({ returnType: "Object" });
for (nodeId in allNodes) {
nodeColors[nodeId] = allNodes[nodeId].color;
}
allEdges = edges.get({ returnType: "Object" });
// adding nodes and edges to the graph
data = {nodes: nodes, edges: edges};
var options = {
"configure": {
"enabled": true
},
"edges": {
"color": {
"inherit": false
},
"smooth": {
"enabled": true,
"type": "dynamic"
}
},
"interaction": {
"dragNodes": true,
"hideEdgesOnDrag": false,
"hideNodesOnDrag": false
},
"physics": {
"enabled": true,
"repulsion": {
"centralGravity": 0.2,
"damping": 0.09,
"nodeDistance": 100,
"springConstant": 0.05,
"springLength": 200
},
"solver": "repulsion",
"stabilization": {
"enabled": true,
"fit": true,
"iterations": 1000,
"onlyDynamicEdges": false,
"updateInterval": 50
}
}
};
// if this network requires displaying the configure window,
// put it in its div
options.configure["container"] = document.getElementById("config");
network = new vis.Network(container, data, options);
network.on("click", neighbourhoodHighlight);
network.on("stabilizationProgress", function(params) {
document.getElementById('loadingBar').removeAttribute("style");
var maxWidth = 496;
var minWidth = 20;
var widthFactor = params.iterations/params.total;
var width = Math.max(minWidth,maxWidth * widthFactor);
document.getElementById('bar').style.width = width + 'px';
document.getElementById('text').innerHTML = Math.round(widthFactor*100) + '%';
});
network.once("stabilizationIterationsDone", function() {
document.getElementById('text').innerHTML = '100%';
document.getElementById('bar').style.width = '496px';
document.getElementById('loadingBar').style.opacity = 0;
// really clean the dom element
setTimeout(function () {document.getElementById('loadingBar').style.display = 'none';}, 500);
});
return network;
}
drawGraph();
</script>
</body>
</html>
<html>
<head>
<meta charset="utf-8">
<script src="lib/bindings/utils.js"></script>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/vis-network/9.1.2/dist/dist/vis-network.min.css" integrity="sha512-WgxfT5LWjfszlPHXRmBWHkV2eceiWTOBvrKCNbdgDYTHrT2AeLCGbF4sZlZw3UMN3WtL0tGUoIAKsu8mllg/XA==" crossorigin="anonymous" referrerpolicy="no-referrer" />
<script src="https://cdnjs.cloudflare.com/ajax/libs/vis-network/9.1.2/dist/vis-network.min.js" integrity="sha512-LnvoEWDFrqGHlHmDD2101OrLcbsfkrzoSpvtSQtxK3RMnRV0eOkhhBN2dXHKRrUU8p2DGRTk35n4O8nWSVe1mQ==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>
<center>
<h1></h1>
</center>
<!-- <link rel="stylesheet" href="../node_modules/vis/dist/vis.min.css" type="text/css" />
<script type="text/javascript" src="../node_modules/vis/dist/vis.js"> </script>-->
<link
href="https://cdn.jsdelivr.net/npm/bootstrap@5.0.0-beta3/dist/css/bootstrap.min.css"
rel="stylesheet"
integrity="sha384-eOJMYsd53ii+scO/bJGFsiCZc+5NDVN2yr8+0RDqr0Ql0h+rP48ckxlpbzKgwra6"
crossorigin="anonymous"
/>
<script
src="https://cdn.jsdelivr.net/npm/bootstrap@5.0.0-beta3/dist/js/bootstrap.bundle.min.js"
integrity="sha384-JEW9xMcG8R+pH31jmWH6WWP0WintQrMb4s7ZOdauHnUtxwoG2vI5DkLtS3qm9Ekf"
crossorigin="anonymous"
></script>
<center>
<h1></h1>
</center>
<style type="text/css">
#mynetwork {
width: 100%;
height: 600px;
background-color: white;
border: 1px solid lightgray;
position: relative;
float: left;
}
#loadingBar {
position:absolute;
top:0px;
left:0px;
width: 100%;
height: 600px;
background-color:rgba(200,200,200,0.8);
-webkit-transition: all 0.5s ease;
-moz-transition: all 0.5s ease;
-ms-transition: all 0.5s ease;
-o-transition: all 0.5s ease;
transition: all 0.5s ease;
opacity:1;
}
#bar {
position:absolute;
top:0px;
left:0px;
width:20px;
height:20px;
margin:auto auto auto auto;
border-radius:11px;
border:2px solid rgba(30,30,30,0.05);
background: rgb(0, 173, 246); /* Old browsers */
box-shadow: 2px 0px 4px rgba(0,0,0,0.4);
}
#border {
position:absolute;
top:10px;
left:10px;
width:500px;
height:23px;
margin:auto auto auto auto;
box-shadow: 0px 0px 4px rgba(0,0,0,0.2);
border-radius:10px;
}
#text {
position:absolute;
top:8px;
left:530px;
width:30px;
height:50px;
margin:auto auto auto auto;
font-size:22px;
color: #000000;
}
div.outerBorder {
position:relative;
top:400px;
width:600px;
height:44px;
margin:auto auto auto auto;
border:8px solid rgba(0,0,0,0.1);
background: rgb(252,252,252); /* Old browsers */
background: -moz-linear-gradient(top, rgba(252,252,252,1) 0%, rgba(237,237,237,1) 100%); /* FF3.6+ */
background: -webkit-gradient(linear, left top, left bottom, color-stop(0%,rgba(252,252,252,1)), color-stop(100%,rgba(237,237,237,1))); /* Chrome,Safari4+ */
background: -webkit-linear-gradient(top, rgba(252,252,252,1) 0%,rgba(237,237,237,1) 100%); /* Chrome10+,Safari5.1+ */
background: -o-linear-gradient(top, rgba(252,252,252,1) 0%,rgba(237,237,237,1) 100%); /* Opera 11.10+ */
background: -ms-linear-gradient(top, rgba(252,252,252,1) 0%,rgba(237,237,237,1) 100%); /* IE10+ */
background: linear-gradient(to bottom, rgba(252,252,252,1) 0%,rgba(237,237,237,1) 100%); /* W3C */
filter: progid:DXImageTransform.Microsoft.gradient( startColorstr='#fcfcfc', endColorstr='#ededed',GradientType=0 ); /* IE6-9 */
border-radius:72px;
box-shadow: 0px 0px 10px rgba(0,0,0,0.2);
}
#config {
float: left;
width: 400px;
height: 600px;
}
</style>
</head>
<body>
<div class="card" style="width: 100%">
<div id="mynetwork" class="card-body"></div>
</div>
<div id="loadingBar">
<div class="outerBorder">
<div id="text">0%</div>
<div id="border">
<div id="bar"></div>
</div>
</div>
</div>
<div id="config"></div>
<script type="text/javascript">
// initialize global variables.
var edges;
var nodes;
var allNodes;
var allEdges;
var nodeColors;
var originalNodes;
var network;
var container;
var options, data;
var filter = {
item : '',
property : '',
value : []
};
// This method is responsible for drawing the graph, returns the drawn network
function drawGraph() {
var container = document.getElementById('mynetwork');
// parsing and collecting nodes and edges from the python
nodes = new vis.DataSet([{"color": "blue", "font": {"color": "black"}, "id": "person_1", "label": "Nicolas, Tetau", "shape": "dot", "size": 10, "type": "Person"}, {"color": "#729b79ff", "font": {"color": "black"}, "id": "company_1", "label": "0 10 24 Telefondienste GmbH", "shape": "dot", "size": 10, "type": "Company"}, {"color": "#729b79ff", "font": {"color": "black"}, "id": "company_4", "label": "01050.com GmbH", "shape": "dot", "size": 10, "type": "Company"}, {"color": "blue", "font": {"color": "black"}, "id": "person_2", "label": "Lutz, Dammast", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_3", "label": "Rosemarie, Tutsch", "shape": "dot", "size": 10, "type": "Person"}, {"color": "#729b79ff", "font": {"color": "black"}, "id": "company_2", "label": "1. Staiger Grundst\u00fccksverwaltung GmbH \u0026 Co. KG", "shape": "dot", "size": 10, "type": "Company"}, {"color": "blue", "font": {"color": "black"}, "id": "person_4", "label": "Marc, Staiger", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_5", "label": "Michaela, Staiger", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_6", "label": "Margarete, Staiger", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_7", "label": "Bruno, Staiger", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_8", "label": "Nicole, Hofmann", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_9", "label": "Steffen, Autenrieth", "shape": "dot", "size": 10, "type": "Person"}, {"color": "#729b79ff", "font": {"color": "black"}, "id": "company_3", "label": "1 A Autenrieth Kunststofftechnik GmbH \u0026 Co. KG", "shape": "dot", "size": 10, "type": "Company"}, {"color": "blue", "font": {"color": "black"}, "id": "person_10", "label": "Stefanie, Bischoff", "shape": "dot", "size": 10, "type": "Person"}, {"color": "#729b79ff", "font": {"color": "black"}, "id": "company_2213", "label": "Multi-Center Warenvertriebs GmbH", "shape": "dot", "size": 10, "type": "Company"}, {"color": "#729b79ff", "font": {"color": "black"}, "id": "company_5", "label": "2. Schaper Objekt GmbH \u0026 Co. Kiel KG", "shape": "dot", "size": 10, "type": "Company"}, {"color": "blue", "font": {"color": "black"}, "id": "person_11", "label": "Christel, Achilles", "shape": "dot", "size": 10, "type": "Person"}, {"color": "#729b79ff", "font": {"color": "black"}, "id": "company_6", "label": "AASP Filmproduktionsgesellschaft mbH \u0026 Co. Leonie KG", "shape": "dot", "size": 10, "type": "Company"}, {"color": "blue", "font": {"color": "black"}, "id": "person_12", "label": "Wilhelm, Ackermann", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_13", "label": "Harald, Ahrens", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_14", "label": "Mohamed Maged, Al Sibai", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_15", "label": "Salim, Al-Bazaz", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_16", "label": "Marina, Attawar", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_17", "label": "Ankica, Babic-Pavicic", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_18", "label": "Ingo, Bak", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_19", "label": "Christoph, Becker", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_20", "label": "Olaf, Becker", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_21", "label": "Rainer, Berg", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_22", "label": "Pieter, Berkhout", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_23", "label": "Bernhard, Berns", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_24", "label": "Franz-Hartwig, Betz", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_25", "label": "Claus, Birken", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_26", "label": "Helmut, Blessing", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_27", "label": "Heinz G., Bohnet", "shape": "doLine truncated
edges = new vis.DataSet([{"from": "person_1", "label": "Gesch\u00e4ftsf\u00fchrer(in)", "to": "company_1", "width": 1}, {"from": "person_1", "label": "Gesch\u00e4ftsf\u00fchrer(in)", "to": "company_4", "width": 1}, {"from": "company_1", "label": "Prokurist(in)", "to": "person_2", "width": 1}, {"from": "person_2", "label": "Prokurist(in)", "to": "company_4", "width": 1}, {"from": "person_3", "label": "Kommanditist(in)", "to": "company_2", "width": 1}, {"from": "company_2", "label": "Kommanditist(in)", "to": "person_4", "width": 1}, {"from": "company_2", "label": "Kommanditist(in)", "to": "person_5", "width": 1}, {"from": "company_2", "label": "Kommanditist(in)", "to": "person_6", "width": 1}, {"from": "company_2", "label": "Kommanditist(in)", "to": "person_7", "width": 1}, {"from": "company_2", "label": "Kommanditist(in)", "to": "person_8", "width": 1}, {"from": "person_9", "label": "Kommanditist(in)", "to": "company_3", "width": 1}, {"from": "company_3", "label": "Prokurist(in)", "to": "person_10", "width": 1}, {"from": "company_2213", "label": "Kommanditist(in)", "to": "company_5", "width": 1}, {"from": "person_11", "label": "Kommanditist(in)", "to": "company_6", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_12", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_13", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_14", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_15", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_16", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_17", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_18", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_19", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_20", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_21", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_22", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_23", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_24", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_25", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_26", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_27", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_28", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_29", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_30", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_31", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_32", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_33", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_34", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_35", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_36", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_37", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_38", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_39", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_40", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_41", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_42", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_43", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_44", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_45", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_46", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_47", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_48", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_49", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_50", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_51", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_52", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_53", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_54", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_55", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)", "to": "person_56", "width": 1}, {"from": "company_6", "label": "Kommanditist(in)",Line truncated
nodeColors = {};
allNodes = nodes.get({ returnType: "Object" });
for (nodeId in allNodes) {
nodeColors[nodeId] = allNodes[nodeId].color;
}
allEdges = edges.get({ returnType: "Object" });
// adding nodes and edges to the graph
data = {nodes: nodes, edges: edges};
var options = {
"configure": {
"enabled": true
},
"edges": {
"color": {
"inherit": false
},
"smooth": {
"enabled": true,
"type": "dynamic"
}
},
"interaction": {
"dragNodes": true,
"hideEdgesOnDrag": false,
"hideNodesOnDrag": false
},
"physics": {
"enabled": true,
"repulsion": {
"centralGravity": 0.2,
"damping": 0.09,
"nodeDistance": 100,
"springConstant": 0.05,
"springLength": 200
},
"solver": "repulsion",
"stabilization": {
"enabled": true,
"fit": true,
"iterations": 1000,
"onlyDynamicEdges": false,
"updateInterval": 50
}
}
};
// if this network requires displaying the configure window,
// put it in its div
options.configure["container"] = document.getElementById("config");
network = new vis.Network(container, data, options);
network.on("click", neighbourhoodHighlight);
network.on("stabilizationProgress", function(params) {
document.getElementById('loadingBar').removeAttribute("style");
var maxWidth = 496;
var minWidth = 20;
var widthFactor = params.iterations/params.total;
var width = Math.max(minWidth,maxWidth * widthFactor);
document.getElementById('bar').style.width = width + 'px';
document.getElementById('text').innerHTML = Math.round(widthFactor*100) + '%';
});
network.once("stabilizationIterationsDone", function() {
document.getElementById('text').innerHTML = '100%';
document.getElementById('bar').style.width = '496px';
document.getElementById('loadingBar').style.opacity = 0;
// really clean the dom element
setTimeout(function () {document.getElementById('loadingBar').style.display = 'none';}, 500);
});
return network;
}
drawGraph();
</script>
</body>
</html>
@@ -45,11 +45,11 @@ def create_2d_graph( # noqa PLR0913
# pos = nx.planar_layout(graph)
case "Random":
pos = nx.random_layout(graph)
case "Shell only 2D)":
case "(Shell only 2D)":
pos = nx.shell_layout(graph)
# case "Spectral":
# pos = nx.spectral_layout(graph)
case "Spiral only 2D)":
case "(Spiral only 2D)":
pos = nx.spiral_layout(graph)
# case "Multipartite":
# pos = nx.multipartite_layout(graph)
@@ -22,20 +22,28 @@ def initialize_network(edges: list, nodes: dict) -> tuple[nx.Graph, pd.DataFrame
# update node attributes from dataframe
nx.set_node_attributes(graph, nodes)
# Create a DataFrame with all Metrics
# Create a DataFrame with all Metrics
metrics = pd.DataFrame(
{
"eigenvector": nx.eigenvector_centrality(graph).values(),
"degree": nx.degree_centrality(graph).values(),
"betweenness": nx.betweenness_centrality(graph).values(),
"closeness": nx.closeness_centrality(graph).values(),
"pagerank": nx.pagerank(graph).values(),
"category": nx.get_node_attributes(graph, "type").values(),
"designation": nx.get_node_attributes(graph, "name").values(),
"id": nx.get_node_attributes(graph, "id").values(),
}
).T
columns=[
"eigenvector",
"degree",
"betweenness",
"closeness",
"pagerank",
"category",
"designation",
"id",
]
)
metrics["eigenvector"] = nx.eigenvector_centrality(graph).values()
metrics["degree"] = nx.degree_centrality(graph).values()
metrics["betweenness"] = nx.betweenness_centrality(graph).values()
metrics["closeness"] = nx.closeness_centrality(graph).values()
metrics["pagerank"] = nx.pagerank(graph).values()
metrics["category"] = nx.get_node_attributes(graph, "type").values()
metrics["designation"] = nx.get_node_attributes(graph, "name").values()
metrics["id"] = nx.get_node_attributes(graph, "id").values()
return graph, metrics
@@ -64,7 +72,7 @@ def initialize_network_with_reduced_metrics(
# Create a DataFrame with all Metrics
metrics = pd.DataFrame(
columns=["degree", "eigenvector", "betweenness", "closeness", "pagerank"]
columns=["degree", "betweenness", "closeness", "category", "designation", "id"]
)
# metrics["eigenvector"] = nx.eigenvector_centrality(graph).values()
metrics["degree"] = nx.degree_centrality(graph).values()
@@ -63,24 +63,6 @@ def find_all_company_relations() -> pd.DataFrame:
return companies_relations_df
def find_top_companies() -> pd.DataFrame:
"""_summary_.
Returns:
pd.DataFrame: _description_
"""
session = SessionHandler.session
assert session # noqa: S101
query_companies = session.query(entities.Company) # .all()
companies_df: pd.DataFrame = pd.read_sql(str(query_companies), session.bind) # type: ignore
companies_df = companies_df.head()
companies_df = companies_df[["company_name"]]
companies_df["Platzierung"] = [1, 2, 3, 4, 5]
companies_df["Umsatz M€"] = [1, 2, 3, 4, 5]
return companies_df[["Platzierung", "company_name", "Umsatz M€"]]
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.
@@ -380,7 +362,7 @@ def create_edge_and_node_list_for_company(
return nodes, edges
def get_all_metrics_from_id(company_id: int) -> pd.Series:
def get_all_metrics_from_id(company_id: str) -> pd.Series:
"""Returns all Metric for the given ID.
Args:
-7
View File
@@ -1,7 +0,0 @@
"""Test for the NetworkX Component."""
from aki_prj23_transparenzregister.ui.archive import networkx_dash
def network_graph(edges: None) -> None:
"""Checks if an import co company_stats_dash can be made."""
assert networkx_dash is not None
+67 -14
View File
@@ -2,15 +2,21 @@
import datetime
from collections.abc import Generator
import networkx as nx
import pandas as pd
import plotly.graph_objects as go
import pytest
from sqlalchemy.orm import Session
from aki_prj23_transparenzregister.ui.session_handler import SessionHandler
from aki_prj23_transparenzregister.utils.networkx import network_2d
from aki_prj23_transparenzregister.utils.networkx.network_2d import create_2d_graph
from aki_prj23_transparenzregister.utils.networkx.network_base import initialize_network
def test_import() -> None:
"""Checks if an import co company_stats_dash can be made."""
assert network_2d is not None
@pytest.fixture(autouse=True)
def _set_session(full_db: Session) -> Generator[None, None, None]:
"""Sets a session for the dash application to be used."""
@@ -19,32 +25,79 @@ def _set_session(full_db: Session) -> Generator[None, None, None]:
SessionHandler.session = None
def test_initialize_network() -> None:
def test_create_2d_graph() -> None:
"""Tests the creation of a 2D Graph."""
edges: list = [
{"from": "p_545", "to": "c_53", "type": "HAFTENDER_GESELLSCHAFTER"},
{"from": "c_53", "to": "p_545", "type": "HAFTENDER_GESELLSCHAFTER"},
{"from": "c_1", "to": "c_2", "type": "HAFTENDER_GESELLSCHAFTER"},
{"from": "c_53", "to": "c_1", "type": "HAFTENDER_GESELLSCHAFTER"},
]
nodes: dict = {
"c_53": {
"id": "c_53",
"name": "1. Freiburger Solarfonds Beteiligungs-KG",
"type": "company",
"color": "blue",
},
"p_545": {
"id": "p_545",
"firstname": "Jürgen",
"lastname": "Wetzel",
"name": "Wetzel, Jürgen",
"type": "person",
"date_of_birth": datetime.date(1962, 11, 15),
"color": "red",
},
"c_1": {
"id": "c_1",
"name": "Musterfirma",
"type": "company",
"color": "blue",
},
"c_2": {
"id": "c_2",
"name": "Firma 1",
"type": "company",
"color": "blue",
},
}
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",
# ]
metric = "None"
layout = "Spring"
edge_annotation = False
edge_thickness = 1
figure = create_2d_graph(
graph, nodes, edges, metrics, metric, layout, edge_annotation, edge_thickness
)
assert type(figure) is go.Figure
metric = "degree"
layout = "Circular"
figure = create_2d_graph(
graph, nodes, edges, metrics, metric, layout, edge_annotation, edge_thickness
)
assert type(figure) is go.Figure
edge_annotation = True
layout = "Kamada Kawai"
figure = create_2d_graph(
graph, nodes, edges, metrics, metric, layout, edge_annotation, edge_thickness
)
assert type(figure) is go.Figure
layout = "Random"
figure = create_2d_graph(
graph, nodes, edges, metrics, metric, layout, edge_annotation, edge_thickness
)
assert type(figure) is go.Figure
layout = "Shell (only 2D)"
figure = create_2d_graph(
graph, nodes, edges, metrics, metric, layout, edge_annotation, edge_thickness
)
assert type(figure) is go.Figure
layout = "Spiral (only 2D)"
figure = create_2d_graph(
graph, nodes, edges, metrics, metric, layout, edge_annotation, edge_thickness
)
assert type(figure) is go.Figure
+55 -14
View File
@@ -1,38 +1,79 @@
"""Test the initialize Network function."""
import datetime
import networkx as nx
import pandas as pd
import plotly.graph_objects as go
from aki_prj23_transparenzregister.utils.networkx import network_3d
from aki_prj23_transparenzregister.utils.networkx.network_3d import create_3d_graph
from aki_prj23_transparenzregister.utils.networkx.network_base import initialize_network
def test_initialize_network() -> None:
def test_import() -> None:
"""Checks if an import co company_stats_dash can be made."""
assert network_3d is not None
def test_create_3d_graph() -> None:
"""Tests the creation of a 3D Graph."""
edges: list = [
{"from": "p_545", "to": "c_53", "type": "HAFTENDER_GESELLSCHAFTER"},
{"from": "c_53", "to": "p_545", "type": "HAFTENDER_GESELLSCHAFTER"},
{"from": "c_1", "to": "c_2", "type": "HAFTENDER_GESELLSCHAFTER"},
{"from": "c_53", "to": "c_1", "type": "HAFTENDER_GESELLSCHAFTER"},
]
nodes: dict = {
"c_53": {
"id": "c_53",
"name": "1. Freiburger Solarfonds Beteiligungs-KG",
"type": "company",
"color": "blue",
},
"p_545": {
"id": "p_545",
"firstname": "Jürgen",
"lastname": "Wetzel",
"name": "Wetzel, Jürgen",
"type": "person",
"date_of_birth": datetime.date(1962, 11, 15),
"color": "red",
},
"c_1": {
"id": "c_1",
"name": "Musterfirma",
"type": "company",
"color": "blue",
},
"c_2": {
"id": "c_2",
"name": "Firma 1",
"type": "company",
"color": "blue",
},
}
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",
# ]
metric = "None"
layout = "Spring"
edge_annotation = False
edge_thickness = 1
figure = create_3d_graph(
graph, nodes, edges, metrics, metric, layout, edge_annotation, edge_thickness
)
assert type(figure) is go.Figure
metric = "degree"
layout = "Circular"
figure = create_3d_graph(
graph, nodes, edges, metrics, metric, layout, edge_annotation, edge_thickness
)
assert type(figure) is go.Figure
edge_annotation = True
layout = "Kamada Kawai"
figure = create_3d_graph(
graph, nodes, edges, metrics, metric, layout, edge_annotation, edge_thickness
)
assert type(figure) is go.Figure
layout = "Random"
figure = create_3d_graph(
graph, nodes, edges, metrics, metric, layout, edge_annotation, edge_thickness
)
assert type(figure) is go.Figure
+57 -12
View File
@@ -3,38 +3,83 @@ import datetime
import networkx as nx
import pandas as pd
import pytest
from aki_prj23_transparenzregister.utils.networkx.network_base import initialize_network
from aki_prj23_transparenzregister.utils.networkx import network_base
from aki_prj23_transparenzregister.utils.networkx.network_base import (
initialize_network,
initialize_network_with_reduced_metrics,
initialize_network_without_metrics,
)
def test_import() -> None:
"""Checks if an import co company_stats_dash can be made."""
assert network_base is not None
@pytest.mark.tim()
def test_initialize_network() -> None:
edges: list = [
{"from": "p_545", "to": "c_53", "type": "HAFTENDER_GESELLSCHAFTER"},
{"from": "c_53", "to": "p_545", "type": "HAFTENDER_GESELLSCHAFTER"},
{"from": "c_1", "to": "c_2", "type": "HAFTENDER_GESELLSCHAFTER"},
{"from": "c_53", "to": "c_1", "type": "HAFTENDER_GESELLSCHAFTER"},
]
nodes: dict = {
"c_53": {
"id": "c_53",
"name": "1. Freiburger Solarfonds Beteiligungs-KG",
"type": "company",
"color": "blue",
},
"p_545": {
"id": "p_545",
"firstname": "Jürgen",
"lastname": "Wetzel",
"name": "Wetzel, Jürgen",
"type": "person",
"date_of_birth": datetime.date(1962, 11, 15),
"color": "red",
},
"c_1": {
"id": "c_1",
"name": "Musterfirma",
"type": "company",
"color": "blue",
},
"c_2": {
"id": "c_2",
"name": "Firma 1",
"type": "company",
"color": "blur",
},
}
# print(len(edges))
# print(len(nodes))
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) == [
"eigenvector",
"degree",
"betweenness",
"closeness",
"pagerank",
"category",
"designation",
"id",
]
graph_reduced, metrics_reduced = initialize_network_with_reduced_metrics(
edges=edges, nodes=nodes
)
assert isinstance(graph_reduced, nx.Graph)
assert isinstance(metrics_reduced, pd.DataFrame)
assert list(metrics_reduced.columns) == [
"degree",
"betweenness",
"closeness",
"category",
"designation",
"id",
]
graph = initialize_network_without_metrics(edges=edges, nodes=nodes)
assert isinstance(graph_reduced, nx.Graph)
+144 -31
View File
@@ -1,37 +1,150 @@
"""Test the initialize Network function."""
import datetime
from collections.abc import Generator
import networkx as nx
import pandas as pd
import pytest
from sqlalchemy.orm import Session
from aki_prj23_transparenzregister.utils.networkx.network_base import initialize_network
from aki_prj23_transparenzregister.ui.session_handler import SessionHandler
from aki_prj23_transparenzregister.utils.networkx import networkx_data
from aki_prj23_transparenzregister.utils.networkx.networkx_data import (
create_edge_and_node_list,
create_edge_and_node_list_for_company,
filter_relation_type,
filter_relation_with_more_than_one_connection,
find_all_company_relations,
find_company_relations,
get_all_company_relations,
get_all_person_relations,
)
def test_initialize_network() -> None:
edges: list = [
{"from": "p_545", "to": "c_53", "type": "HAFTENDER_GESELLSCHAFTER"},
{"from": "c_53", "to": "p_545", "type": "HAFTENDER_GESELLSCHAFTER"},
]
nodes: dict = {
"c_53": {
"id": "c_53",
"name": "1. Freiburger Solarfonds Beteiligungs-KG",
"color": "blue",
},
"p_545": {
"id": "p_545",
"name": "Jürgen Wenzel",
"date_of_birth": datetime.date(1962, 11, 15),
"color": "red",
},
}
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",
# ]
@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 co company_stats_dash can be made."""
assert networkx_data is not None
# def test_initialize_network() -> None:
# edges: list = [
# {"from": "p_545", "to": "c_53", "type": "HAFTENDER_GESELLSCHAFTER"},
# {"from": "c_53", "to": "p_545", "type": "HAFTENDER_GESELLSCHAFTER"},
# {"from": "c_1", "to": "c_2", "type": "HAFTENDER_GESELLSCHAFTER"},
# {"from": "c_53", "to": "c_1", "type": "HAFTENDER_GESELLSCHAFTER"},
# ]
# nodes: dict = {
# "c_53": {
# "id": "c_53",
# "name": "1. Freiburger Solarfonds Beteiligungs-KG",
# "type": "company",
# "color": "blue",
# },
# "p_545": {
# "id": "p_545",
# "name": "Wetzel, Jürgen",
# "type": "person",
# "date_of_birth": datetime.date(1962, 11, 15),
# "color": "red",
# },
# "c_1": {
# "id": "c_1",
# "name": "Musterfirma",
# "type": "company",
# "color": "blue",
# },
# "c_2": {
# "id": "c_2",
# "name": "Firma 1",
# "type": "company",
# "color": "blur",
# },
# }
def test_find_all_company_relations() -> None:
"""This Test methods tests if the correct type is returned for the corresponding Function."""
company_relations_df = find_all_company_relations()
assert type(company_relations_df) is pd.DataFrame
def test_get_all_company_relations() -> None:
"""This Test methods tests if the correct type is returned for the corresponding Function."""
company_relations_df = get_all_company_relations()
assert type(company_relations_df) is pd.DataFrame
def test_get_all_person_relations() -> None:
"""This Test methods tests if the correct type is returned for the corresponding Function."""
company_relations_df = get_all_person_relations()
assert type(company_relations_df) is pd.DataFrame
def test_filter_relation_type() -> None:
"""This Test methods tests if the correct type is returned for the corresponding Function."""
relation_dataframe = get_all_company_relations()
selected_relation_type = "HAFTENDER_GESELLSCHAFTER"
company_relations_df = filter_relation_type(
relation_dataframe, selected_relation_type
)
assert type(company_relations_df) is pd.DataFrame
def test_filter_relation_with_more_than_one_connection() -> None:
"""This Test methods tests if the correct type is returned for the corresponding Function."""
relation_dataframe = get_all_company_relations()
id_column_name_to = "c_1"
id_column_name_from = "c_2"
relations_df = filter_relation_with_more_than_one_connection(
relation_dataframe, id_column_name_to, id_column_name_from
)
assert type(relations_df) is pd.DataFrame
def test_create_edge_and_node_list() -> None:
"""This Test methods tests if the correct type is returned for the corresponding Function."""
person_df = get_all_person_relations()
company_df = get_all_company_relations()
nodes, edges = create_edge_and_node_list(person_df, company_df)
assert isinstance(nodes, dict)
assert isinstance(edges, list)
def test_find_company_relations() -> None:
"""This Test methods tests if the correct type is returned for the corresponding Function."""
selected_company_id = 1
company_relations_df, person_df = find_company_relations(selected_company_id)
assert type(company_relations_df) is pd.DataFrame
assert type(person_df) is pd.DataFrame
def test_create_edge_and_node_list_for_company() -> None:
"""This Test methods tests if the correct type is returned for the corresponding Function."""
company_relations = get_all_company_relations()
nodes, edges = create_edge_and_node_list_for_company(company_relations)
assert isinstance(nodes, dict)
assert isinstance(edges, list)
# @pytest.mark.tim()
# def test_get_all_metrics_from_id() -> None:
# """This Test methods tests if the correct type is returned for the corresponding Function."""
# company_id = 2549
# metrics = get_all_metrics_from_id(company_id)
# assert type(metrics) is pd.Series
# @pytest.mark.tim()
# def test_get_relations_number_from_id() -> None:
# """This Test methods tests if the correct type and number of relations is received."""
# # id = "c_2549"
# id = "c_2667"
# relations_lvl_1, relations_lvl_2, relations_lvl_3 = get_relations_number_from_id(id)
# assert type(relations_lvl_1) is int
# assert type(relations_lvl_2) is int
# assert type(relations_lvl_3) is int