TEMP

.nvmrc

@@ -0,0 +1 @@
+v22

README.md

@@ -2,19 +2,39 @@
 
 ## Development
 
+### Backend
+
+Pre-requisites: `pipenv`, or whichever venv manager you prefer
+
 ```sh
 # Install all dependencies. `pipenv` was used previously:
 pipenv --python 3.11
 pipenv install
-pipenv shell
 
 # Start dev server
+pipenv shell
 fastapi dev app/main.py
 
 # Start posting data to the tracing endpoint:
 traceroute git.rauhala.info -q1 | http POST localhost:8000/trace/MYHOSTNAME
 ```
 
+### Frontend
+
+Pre-requisites: `nvm`, `tsc` / `typescript`
+
+```sh
+# Install latest npm version with node version manager:
+nvm install 22
+
+# Install project packages:
+npm install
+
+# Regular usage, activate project node version & start TS compiler in watch mode:
+nvm use
+tsc -w
+```
+
 ## URLs of interest
 
 - http://localhost:8000/

app/collector.py

@@ -1,103 +0,0 @@
-import json
-import uuid
-import hashlib
-
-from datetime import datetime
-
-from .db import Database
-
-
-def parse_traceroute_output(data: str, origin: str):
-    # TODO: data validation
-
-    lines = data.strip().split("\n")
-    target = lines[0].split()[2]
-
-    created = datetime.now().isoformat()
-
-    trace = {"target": target, "created": created, "origin": origin, "hops": []}
-
-    prev_latency = None
-
-    for line in lines[1:]:
-        hop_info = line.split()
-        print("LINE:", hop_info)
-        try:
-            # Regular lines.
-            number, name, ip, latency, _ = hop_info
-            latency = float(latency)
-            hop = {
-                "created": created,
-                "number": number,
-                "name": name,
-                "ip": ip.strip("()"),
-                "latency": latency,
-                "link_latency": round(latency if prev_latency else latency, 3),
-            }
-            prev_latency = latency
-        except ValueError:
-            # Asterisks, no data found for hop.
-            number, name = hop_info
-            hop = {
-                "created": created,
-                "number": number,
-                "name": name,
-                "ip": None,
-                "latency": None,
-                "link_latency": "?",
-            }
-
-        trace["hops"].append(hop)
-
-    return trace
-
-
-def store_traceroute(trace):
-    db = Database()
-
-    # hops_json = json.dumps(trace['hops'])
-
-    path_ids = {}
-
-    previous_hop_ip = None
-    previous_hop_latency = None
-    for hop in trace["hops"]:
-        hop_number = hop["number"]
-        hop_name = hop.get("name")
-        hop_ip = hop.get("ip")
-        hop_latency = hop.get("latency")
-        link_id = None
-
-        # insert links and get their id's
-        if previous_hop_ip:
-            link_id = db.create_link(previous_hop_ip, hop_ip)
-            path_ids[hop_number] = link_id
-
-        previous_hop_ip = hop_ip
-
-        # Save hop details
-        db.create_hop(hop_name, hop_ip, hop_latency)
-
-        # calculate link latency if possible and store it
-        if link_id and previous_hop_latency:
-            link_latency = hop_latency - previous_hop_latency
-            db.create_latency(link_id, trace["created"], link_latency)
-
-    # make entry to "Paths" table
-    if path_ids:
-        json_path_ids = json.dumps(path_ids)
-        db.create_path(node, trace["target"], json_path_ids)
-
-    db.end()
-
-
-def generate_node_id():
-    mac = uuid.getnode()
-    mac_str = ":".join(
-        ["{:02x}".format((mac >> ele) & 0xFF) for ele in range(0, 8 * 6, 8)][::-1]
-    )
-
-    # Hash the MAC address using SHA-256 to generate a unique ID
-    unique_id = hashlib.sha256(mac_str.encode()).hexdigest()
-
-    return unique_id

app/db.py

@@ -25,20 +25,24 @@ class Database:
                 id INTEGER PRIMARY KEY AUTOINCREMENT,
                 created TEXT NOT NULL,
                 origin TEXT NOT NULL,
-                target TEXT NOT NULL
+                target TEXT NOT NULL,
+                unparsed TEXT NOT NULL
             );
 
-            CREATE TABLE IF NOT EXISTS Hops (
+            CREATE TABLE IF NOT EXISTS Nodes (
                 id INTEGER PRIMARY KEY AUTOINCREMENT,
-                trace_id INTEGER,
                 created TEXT NOT NULL,
-                number INTEGER NOT NULL,
                 name TEXT,
                 ip TEXT,
-                latency TEXT,
+                latency_ms REAL NOT NULL,
-                link_latency TEXT,
+            );
 
-                FOREIGN KEY(trace_id) REFERENCES Traces(id)
+            CREATE TABLE IF NOT EXISTS Links (
+                id INTEGER PRIMARY KEY AUTOINCREMENT,
+                created TEXT NOT NULL,
+                source TEXT NOT NULL,
+                target TEXT NOT NULL,
+                latency_ms REAL NOT NULL,
             );
         """
         )
@@ -49,6 +53,7 @@ class Database:
         self.conn.commit()
         self.conn.close()
 
+    # TODO
     def list_traces(self):
         # TODO: time filter
         result = []
@@ -75,6 +80,7 @@ class Database:
 
         return result
 
+    # TODO
     def create_trace(self, trace):
         self.cursor.execute(
             "INSERT OR IGNORE INTO Traces (created, origin, target) VALUES (?, ?, ?)",
@@ -87,7 +93,7 @@ class Database:
                 "INSERT OR IGNORE INTO Hops (trace_id, created, number, name, ip, latency, link_latency) VALUES (?, ?, ?, ?, ?, ?, ?)",
                 (
                     trace_id,
-                    hop["created"],
+                    hop["created"],  # TODO: trace.created
                     hop["number"],
                     hop["name"],
                     hop["ip"],
@@ -109,79 +115,3 @@ def ensure_table_setup():
     db = Database()
     db.create_tables()
     db.end()
-
-
-####################################################################
-####################################################################
-####################################################################
-####################################################################
-
-
-def with_connection(func):
-    @wraps(func)
-    def wrapped(*args, **kwargs):
-        conn = sqlite3.connect(DB_FILE)
-        cursor = conn.cursor()
-
-        result = func(cursor, *args, **kwargs)
-
-        conn.commit()
-        conn.close()
-
-        return result
-
-    return wrapped
-
-
-@with_connection
-def init_db(cursor: Cursor):
-    cursor.executescript(
-        """
-        CREATE TABLE IF NOT EXISTS Links (
-            id INTEGER PRIMARY KEY,
-            source_ip TEXT NOT NULL,
-            destination_ip TEXT NOT NULL,
-            UNIQUE(source_ip, destination_ip)
-        );
-
-        CREATE TABLE IF NOT EXISTS Paths (
-            id INTEGER PRIMARY KEY,
-            node TEXT NOT NULL,
-            target TEXT NOT NULL,
-            hops_json TEXT NOT NULL,
-            UNIQUE(node, target, hops_json)
-        );
-
-        CREATE TABLE IF NOT EXISTS Latency (
-            id INTEGER PRIMARY KEY,
-            link_id INTEGER NOT NULL,
-            timestamp DATETIME DEFAULT CURRENT_TIMESTAMP,
-            latency_ms REAL NOT NULL,
-            FOREIGN KEY (link_id) REFERENCES Links(id)
-        );
-
-        CREATE TABLE IF NOT EXISTS HopDetails (
-            id INTEGER PRIMARY KEY,
-            hop_name TEXT,
-            hop_ip TEXT,
-            hop_latency TEXT
-        );
-    """
-    )
-
-
-@with_connection
-def insert_hop(cursor: Cursor, previous_hop_ip: str, hop_ip: str):
-    """Insert a new hop and return related Link id"""
-
-    cursor.execute(
-        "INSERT OR IGNORE INTO Links (source_ip, destination_ip) VALUES (?, ?)",
-        (previous_hop_ip, hop_ip),
-    )
-
-    cursor.execute(
-        "SELECT id FROM Links WHERE source_ip = ? AND destination_ip = ?",
-        (previous_hop_ip, hop_ip),
-    )
-
-    return cursor.fetchone()

app/main.py

@@ -1,7 +1,7 @@
 from fastapi import Request, FastAPI
 from fastapi.staticfiles import StaticFiles
 
-from .collector import parse_traceroute_output, store_traceroute
+from .parser import parse_traceroute_output
 from .db import Database, ensure_table_setup
 
 from pprint import pprint as print

app/parser.py

@@ -0,0 +1,119 @@
+import json
+import uuid
+import hashlib
+
+from datetime import datetime
+
+from .db import Database
+
+
+def parse_node(hop_info: list[str], target, origin):
+    try:
+        # Regular lines.
+        number, name, ip, latency, _ = hop_info
+        latency = float(latency)
+        ip = (ip.strip("()"),)
+        return {
+            "render_id": ip,
+            "hop_number": number,
+            "name": name,
+            "ip": ip,
+            "latency_ms": latency,
+        }
+    except ValueError:
+        # Asterisks, no data found for hop.
+        number, name = hop_info
+        return {
+            "render_id": f"{origin}-{target}-{number}",
+            "hop_number": number,
+            "name": name,
+            "ip": None,
+            "latency_ms": None,
+        }
+
+
+def parse_link(node, prev_node):
+    latency = (
+        node["latency"] - prev_node["latency"]
+        if prev_node is not None
+        else node["latency"]
+    )
+    return {
+        "source": prev_node.get("render_id"),
+        "target": node["render_id"],
+        "latency_ms": latency,
+    }
+
+
+def parse_traceroute_output(data: str, origin: str):
+    # TODO: data validation
+
+    lines = data.strip().split("\n")
+    target = lines[0].split()[2]
+
+    created = datetime.now().isoformat()
+
+    trace = {"target": target, "created": created, "origin": origin, "hops": []}
+
+    prev_node = None
+
+    for line in lines[1:]:
+        hop_info = line.split()
+        print("LINE:", hop_info)
+
+        node = parse_node(hop_info, target, origin)
+        link = parse_link(node, prev_node)
+
+        trace["nodes"].append(node)
+        trace["links"].append(link)
+
+        prev_node = node
+
+    return trace
+
+
+# def store_traceroute(trace):
+#     # hops_json = json.dumps(trace['hops'])
+#
+#     path_ids = {}
+#
+#     previous_hop_ip = None
+#     previous_hop_latency = None
+#     for hop in trace["hops"]:
+#         hop_number = hop["number"]
+#         hop_name = hop.get("name")
+#         hop_ip = hop.get("ip")
+#         hop_latency = hop.get("latency")
+#         link_id = None
+#
+#         # insert links and get their id's
+#         if previous_hop_ip:
+#             link_id = db.create_link(previous_hop_ip, hop_ip)
+#             path_ids[hop_number] = link_id
+#
+#         previous_hop_ip = hop_ip
+#
+#         # Save hop details
+#         db.create_hop(hop_name, hop_ip, hop_latency)
+#
+#         # calculate link latency if possible and store it
+#         if link_id and previous_hop_latency:
+#             link_latency = hop_latency - previous_hop_latency
+#             db.create_latency(link_id, trace["created"], link_latency)
+#
+#     # make entry to "Paths" table
+#     if path_ids:
+#         json_path_ids = json.dumps(path_ids)
+#         db.create_path(node, trace["target"], json_path_ids)
+
+
+# def generate_node_id():
+#     mac = uuid.getnode()
+#     mac_str = ":".join(
+#         ["{:02x}".format((mac >> ele) & 0xFF) for ele in range(0, 8 * 6, 8)][::-1]
+#     )
+#
+#     # Hash the MAC address using SHA-256 to generate a unique ID
+#     unique_id = hashlib.sha256(mac_str.encode()).hexdigest()
+#
+#     return unique_id

app/static/example.js

@@ -0,0 +1,184 @@
+/**
+ * This example showcases sigma's reducers, which aim to facilitate dynamically
+ * changing the appearance of nodes and edges, without actually changing the
+ * main graphology data.
+ */
+import Graph from "graphology";
+import Sigma from "sigma";
+import { Coordinates, EdgeDisplayData, NodeDisplayData } from "sigma/types";
+
+import { onStoryDown } from "../utils";
+import data from "./data.json";
+
+export default () => {
+  // Retrieve some useful DOM elements:
+  const container = document.getElementById("sigma-container") as HTMLElement;
+  const searchInput = document.getElementById("search-input") as HTMLInputElement;
+  const searchSuggestions = document.getElementById("suggestions") as HTMLDataListElement;
+
+  // Instantiate sigma:
+  const graph = new Graph();
+  graph.import(data);
+  const renderer = new Sigma(graph, container);
+
+  // Type and declare internal state:
+  interface State {
+    hoveredNode?: string;
+    searchQuery: string;
+
+    // State derived from query:
+    selectedNode?: string;
+    suggestions?: Set<string>;
+
+    // State derived from hovered node:
+    hoveredNeighbors?: Set<string>;
+  }
+  const state: State = { searchQuery: "" };
+
+  // Feed the datalist autocomplete values:
+  searchSuggestions.innerHTML = graph
+    .nodes()
+    .map((node) => `<option value="${graph.getNodeAttribute(node, "label")}"></option>`)
+    .join("\n");
+
+  // Actions:
+  function setSearchQuery(query: string) {
+    state.searchQuery = query;
+
+    if (searchInput.value !== query) searchInput.value = query;
+
+    if (query) {
+      const lcQuery = query.toLowerCase();
+      const suggestions = graph
+        .nodes()
+        .map((n) => ({ id: n, label: graph.getNodeAttribute(n, "label") as string }))
+        .filter(({ label }) => label.toLowerCase().includes(lcQuery));
+
+      // If we have a single perfect match, them we remove the suggestions, and
+      // we consider the user has selected a node through the datalist
+      // autocomplete:
+      if (suggestions.length === 1 && suggestions[0].label === query) {
+        state.selectedNode = suggestions[0].id;
+        state.suggestions = undefined;
+
+        // Move the camera to center it on the selected node:
+        const nodePosition = renderer.getNodeDisplayData(state.selectedNode) as Coordinates;
+        renderer.getCamera().animate(nodePosition, {
+          duration: 500,
+        });
+      }
+      // Else, we display the suggestions list:
+      else {
+        state.selectedNode = undefined;
+        state.suggestions = new Set(suggestions.map(({ id }) => id));
+      }
+    }
+    // If the query is empty, then we reset the selectedNode / suggestions state:
+    else {
+      state.selectedNode = undefined;
+      state.suggestions = undefined;
+    }
+
+    // Refresh rendering
+    // You can directly call `renderer.refresh()`, but if you need performances
+    // you can provide some options to the refresh method.
+    // In this case, we don't touch the graph data so we can skip its reindexation
+    renderer.refresh({
+      skipIndexation: true,
+    });
+  }
+  function setHoveredNode(node?: string) {
+    if (node) {
+      state.hoveredNode = node;
+      state.hoveredNeighbors = new Set(graph.neighbors(node));
+    }
+
+    // Compute the partial that we need to re-render to optimize the refresh
+    const nodes = graph.filterNodes((n) => n !== state.hoveredNode && !state.hoveredNeighbors?.has(n));
+    const nodesIndex = new Set(nodes);
+    const edges = graph.filterEdges((e) => graph.extremities(e).some((n) => nodesIndex.has(n)));
+
+    if (!node) {
+      state.hoveredNode = undefined;
+      state.hoveredNeighbors = undefined;
+    }
+
+    // Refresh rendering
+    renderer.refresh({
+      partialGraph: {
+        nodes,
+        edges,
+      },
+      // We don't touch the graph data so we can skip its reindexation
+      skipIndexation: true,
+    });
+  }
+
+  // Bind search input interactions:
+  searchInput.addEventListener("input", () => {
+    setSearchQuery(searchInput.value || "");
+  });
+  searchInput.addEventListener("blur", () => {
+    setSearchQuery("");
+  });
+
+  // Bind graph interactions:
+  renderer.on("enterNode", ({ node }) => {
+    setHoveredNode(node);
+  });
+  renderer.on("leaveNode", () => {
+    setHoveredNode(undefined);
+  });
+
+  // Render nodes accordingly to the internal state:
+  // 1. If a node is selected, it is highlighted
+  // 2. If there is query, all non-matching nodes are greyed
+  // 3. If there is a hovered node, all non-neighbor nodes are greyed
+  renderer.setSetting("nodeReducer", (node, data) => {
+    const res: Partial<NodeDisplayData> = { ...data };
+
+    if (state.hoveredNeighbors && !state.hoveredNeighbors.has(node) && state.hoveredNode !== node) {
+      res.label = "";
+      res.color = "#f6f6f6";
+    }
+
+    if (state.selectedNode === node) {
+      res.highlighted = true;
+    } else if (state.suggestions) {
+      if (state.suggestions.has(node)) {
+        res.forceLabel = true;
+      } else {
+        res.label = "";
+        res.color = "#f6f6f6";
+      }
+    }
+
+    return res;
+  });
+
+  // Render edges accordingly to the internal state:
+  // 1. If a node is hovered, the edge is hidden if it is not connected to the
+  //    node
+  // 2. If there is a query, the edge is only visible if it connects two
+  //    suggestions
+  renderer.setSetting("edgeReducer", (edge, data) => {
+    const res: Partial<EdgeDisplayData> = { ...data };
+
+    if (state.hoveredNode && !graph.hasExtremity(edge, state.hoveredNode)) {
+      res.hidden = true;
+    }
+
+    if (
+      state.suggestions &&
+      (!state.suggestions.has(graph.source(edge)) || !state.suggestions.has(graph.target(edge)))
+    ) {
+      res.hidden = true;
+    }
+
+    return res;
+  });
+
+  onStoryDown(() => {
+    renderer.kill();
+  });
+};

app/static/index.html

@@ -4,9 +4,6 @@
     <title>Kalzu</title>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1">
-    <script src="https://cdnjs.cloudflare.com/ajax/libs/sigma.js/2.4.0/sigma.min.js" integrity="sha512-iiPEYww3QXZU5C795JnnINBRNgHqDnRHs9mA7aJoqx4pNE4u3CknCDGmePHFoHtKR/6C9aIcRFa+HJ6obtlteQ==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>
-    <script src="https://cdnjs.cloudflare.com/ajax/libs/graphology/0.25.4/graphology.umd.min.js" integrity="sha512-tjMBhL9fLMcqoccPOwpRiIQIOAyUh18lWUlUvE10zvG1UNMfxUC4qSERmUq+VF30iavIyqs/q6fSP2o475FAUw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>
-    <script src="/static/d3.v7.min.js"></script>
     <style>
       #container {
         height: 95vh;

app/static/index.js

@@ -1,3 +1,13 @@
+"use strict";
+var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
+    function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); }
+    return new (P || (P = Promise))(function (resolve, reject) {
+        function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
+        function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
+        function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); }
+        step((generator = generator.apply(thisArg, _arguments || [])).next());
+    });
+};
 const linkArc = (d) => {
     const r = Math.hypot(d.target.x - d.source.x, d.target.y - d.source.y) * 3;
     return `
@@ -5,32 +15,29 @@ const linkArc = (d) => {
     A${r},${r} 0 0,1 ${d.target.x},${d.target.y}
   `;
 };
-
 const drag = (simulation) => {
     function dragstarted(event, d) {
-    if (!event.active) simulation.alphaTarget(0.3).restart();
+        if (!event.active)
+            simulation.alphaTarget(0.3).restart();
         d.fx = d.x;
         d.fy = d.y;
     }
-
     function dragged(event, d) {
         d.fx = event.x;
         d.fy = event.y;
     }
-
     function dragended(event, d) {
-    if (!event.active) simulation.alphaTarget(0);
+        if (!event.active)
+            simulation.alphaTarget(0);
         d.fx = null;
         d.fy = null;
     }
-
     return d3
         .drag()
         .on("start", dragstarted)
         .on("drag", dragged)
         .on("end", dragended);
 };
-
 // const drawChart = (data) => {
 //   // Specify the dimensions of the chart.
 //   const width = 1600;
@@ -129,7 +136,6 @@ const drag = (simulation) => {
 //
 //   return svg.node();
 // };
-
 // const drawChart2 = (data) => {
 //   // Data parsing
 //   const nodes = Array.from(
@@ -238,32 +244,22 @@ const drag = (simulation) => {
 //     scales: { color },
 //   });
 // };
-
 const state = {};
-
 const drawSigma = (data) => {
     // Create a graphology graph
     const graph = new graphology.MultiDirectedGraph();
-
     const setHoveredNode = (node) => {
         if (node) {
             const props = graph.getNodeAttributes(node);
             state.hoveredNode = node;
             state.hoveredTrace = props.traceId;
-
             // Compute the partial that we need to re-render to optimize the refresh
             const nodes = graph.filterNodes((n) => {
                 const np = graph.getNodeAttributes(n);
                 return np.traceId === state.hoveredTrace;
             });
-
-      console.log("Nämä?", nodes);
-
             const nodesIndex = new Set(nodes);
-      const edges = graph.filterEdges((e) =>
+            const edges = graph.filterEdges((e) => graph.extremities(e).some((n) => nodesIndex.has(n)));
-        graph.extremities(e).some((n) => nodesIndex.has(n)),
-      );
-
             // Refresh rendering
             renderer.refresh({
                 partialGraph: {
@@ -273,10 +269,10 @@ const drawSigma = (data) => {
                 // We don't touch the graph data so we can skip its reindexation
                 skipIndexation: true,
             });
-    } else {
+        }
+        else {
             state.hoveredNode = undefined;
             state.hoveredTrace = undefined;
-
             // Refresh rendering
             renderer.refresh({
                 // We don't touch the graph data so we can skip its reindexation
@@ -284,93 +280,77 @@ const drawSigma = (data) => {
             });
         }
     };
-
     data.nodes.forEach((n) => {
         try {
             graph.addNode(n.id, n);
-    } catch (e) {
+        }
+        catch (e) {
             // Duplicate node found, which is correct in our data scenario.
         }
     });
-
     data.links.forEach((l) => {
         graph.addEdge(l.source, l.target, l);
     });
-
     // Instantiate sigma.js and render the graph
     const renderer = new Sigma(graph, document.getElementById("container"), {
         // labelThreshold: -10000,
         renderEdgeLabels: true,
     });
-
     // Bind graph interactions:
     renderer.on("enterNode", ({ node }) => {
-    console.log("enter");
+        console.log("enter:", node);
         setHoveredNode(node);
     });
     renderer.on("leaveNode", () => {
-    console.log("leave");
         setHoveredNode(undefined);
     });
-
     // Render nodes accordingly to the internal state:
     // 1. If a node is selected, it is highlighted
     // 2. If there is query, all non-matching nodes are greyed
     // 3. If there is a hovered node, all non-neighbor nodes are greyed
     renderer.setSetting("nodeReducer", (node, data) => {
-    const res = { ...data };
+        const res = Object.assign({}, data);
         const props = graph.getNodeAttributes(node);
-
         if (state.hoveredTrace && props.traceId !== state.hoveredTrace) {
             res.label = "";
             res.color = "#f6f6f6";
         }
-
         return res;
     });
-
     // Render edges accordingly to the internal state:
     // 1. If a node is hovered, the edge is hidden if it is not connected to the
     //    node
     // 2. If there is a query, the edge is only visible if it connects two
     //    suggestions
     renderer.setSetting("edgeReducer", (edge, data) => {
-    const res = { ...data };
+        const res = Object.assign({}, data);
         const props = graph.getEdgeAttributes(edge);
-
         if (state.hoveredTrace && props.traceId !== state.hoveredTrace) {
             res.hidden = true;
         }
-
         return res;
     });
 };
-
 const getNodeID = (hop, prevId, trace) => {
     if (prevId === null) {
         return trace.origin;
     }
     if (hop.name === "*") {
-    return `${trace.id}-${hop.number}-*`;
+        return `${trace.target}-${hop.number}-*`;
+        //return `${trace.id}-${hop.number}-*`;
     }
-
     return hop.ip;
 };
-
 const parseNodesAndLinks = (traces) => {
     const nodes = [];
     const links = [];
-
     const colors = Array.from(new Set(traces.map((t) => t.id)));
     const color = d3.scaleOrdinal(colors, d3.schemeCategory10);
-
     traces.forEach((trace) => {
         let prevId = null;
         let latestNumber = null;
-
         trace.hops.forEach((hop) => {
             const id = getNodeID(hop, prevId, trace);
-
             // New node
             nodes.push({
                 id: id,
@@ -382,7 +362,6 @@ const parseNodesAndLinks = (traces) => {
                 labelSize: 30,
                 color: color(trace.id),
             });
-
             if (prevId) {
                 // New link
                 links.push({
@@ -395,11 +374,9 @@ const parseNodesAndLinks = (traces) => {
                     color: color(trace.id),
                 });
             }
-
             prevId = id;
             latestNumber = hop.number;
         });
-
         /**
          * Last "destination" node, just for candy
          */
@@ -412,7 +389,6 @@ const parseNodesAndLinks = (traces) => {
             size: 8,
             color: "black",
         });
-
         links.push({
             label: "-",
             size: 8,
@@ -421,7 +397,6 @@ const parseNodesAndLinks = (traces) => {
             target: trace.id,
         });
     });
-
     // { id: ip, group: origin, radius: 2 }
     // { source: prev.ip, target: ip, value: latency }
     return {
@@ -429,20 +404,16 @@ const parseNodesAndLinks = (traces) => {
         links,
     };
 };
-
+function main() {
-async function main() {
+    return __awaiter(this, void 0, void 0, function* () {
-  const response = await fetch("/trace/");
+        const response = yield fetch("/trace/");
-  const traces = await response.json();
+        const traces = yield response.json();
-
         console.log("Traces:", traces);
         const data = parseNodesAndLinks(traces);
-
         console.log("Data:", data);
         // const chart = drawChart2(data.links);
-
         const chart = drawSigma(data);
-
         // container.append(chart);
+    });
 }
-
 main();

app/static/index.ts

@@ -0,0 +1,240 @@
+import { MultiDirectedGraph } from "graphology";
+import Sigma from "sigma";
+import { Coordinates, EdgeDisplayData, NodeDisplayData } from "sigma/types";
+
+// Nice soft greens
+const colors = ["#E8F9C2", "#C0DF81", "#96C832", "#59761E", "#263409"];
+
+interface Node {
+  id: string;
+  label: string;
+  x: number;
+  y: number;
+  size: number;
+  color: string;
+}
+
+interface Link {
+  label: string;
+  size: number;
+  traceId: string;
+  source: string;
+  target: string;
+}
+
+interface Data {
+  nodes: Node[];
+  links: Link[];
+}
+
+interface State {
+  hoveredTrace: string | null;
+  hoveredNode: string | null;
+}
+
+const state: State = {
+  hoveredTrace: null,
+  hoveredNode: null,
+};
+
+const drawSigma = (data: Data) => {
+  // Create a graphology graph
+  const graph = new MultiDirectedGraph();
+
+  // Add nodes
+  data.nodes.forEach((n) => {
+    try {
+      graph.addNode(n.id, n);
+    } catch (e) {
+      // Duplicate node found, which is correct in our data scenario.
+    }
+  });
+
+  // Add links
+  data.links.forEach((l) => {
+    graph.addEdge(l.source, l.target, l);
+  });
+
+  const container = document.getElementById("container") as HTMLElement;
+  // Instantiate sigma.js and render the graph
+  const renderer = new Sigma(graph, container, {
+    // labelThreshold: -10000,
+    renderEdgeLabels: true,
+  });
+
+  // Bind graph interactions:
+  renderer.on("enterNode", ({ node }) => {
+    console.log("enter:", node);
+
+    if (!node) {
+      return;
+    }
+
+    const props = graph.getNodeAttributes(node);
+    state.hoveredNode = node;
+    state.hoveredTrace = props.traceId;
+
+    // Compute the partial that we need to re-render to optimize the refresh
+    const nodes = graph.filterNodes((n) => {
+      const np = graph.getNodeAttributes(n);
+      return np.traceId === state.hoveredTrace;
+    });
+
+    const nodesIndex = new Set(nodes);
+    const edges = graph.filterEdges((e) =>
+      graph.extremities(e).some((n) => nodesIndex.has(n)),
+    );
+
+    // Refresh rendering
+    renderer.refresh({
+      partialGraph: {
+        nodes,
+        edges,
+      },
+      // We don't touch the graph data so we can skip its reindexation
+      skipIndexation: true,
+    });
+  });
+
+  renderer.on("leaveNode", () => {
+    state.hoveredNode = null;
+    state.hoveredTrace = null;
+
+    // Refresh rendering
+    renderer.refresh({
+      // We don't touch the graph data so we can skip its reindexation
+      skipIndexation: true,
+    });
+  });
+
+  // Render nodes accordingly to the internal state:
+  // 1. If a node is selected, it is highlighted
+  // 2. If there is query, all non-matching nodes are greyed
+  // 3. If there is a hovered node, all non-neighbor nodes are greyed
+  renderer.setSetting("nodeReducer", (node, data) => {
+    const res = { ...data };
+    const props = graph.getNodeAttributes(node);
+
+    if (state.hoveredTrace && props.traceId !== state.hoveredTrace) {
+      res.label = "";
+      res.color = "#f6f6f6";
+    }
+
+    return res;
+  });
+
+  // Render edges accordingly to the internal state:
+  // 1. If a node is hovered, the edge is hidden if it is not connected to the
+  //    node
+  // 2. If there is a query, the edge is only visible if it connects two
+  //    suggestions
+  renderer.setSetting("edgeReducer", (edge, data) => {
+    const res = { ...data };
+    const props = graph.getEdgeAttributes(edge);
+
+    if (state.hoveredTrace && props.traceId !== state.hoveredTrace) {
+      res.hidden = true;
+    }
+
+    return res;
+  });
+};
+
+// const getNodeID = (hop: number, prevId: string, trace) => {
+//   if (prevId === null) {
+//     return trace.origin;
+//   }
+//   if (hop.name === "*") {
+//     return `${trace.target}-${hop.number}-*`;
+//     //return `${trace.id}-${hop.number}-*`;
+//   }
+//
+//   return hop.ip;
+// };
+
+// const parseNodesAndLinks = (traces) => {
+//   const nodes = [];
+//   const links = [];
+//
+//   const colors = Array.from(new Set(traces.map((t) => t.id)));
+//   // TODO: Replace this with something
+//   const color = d3.scaleOrdinal(colors, d3.schemeCategory10);
+//
+//   traces.forEach((trace) => {
+//     let prevId = null;
+//     let latestNumber = null;
+//
+//     trace.hops.forEach((hop) => {
+//       const id = getNodeID(hop, prevId, trace);
+//
+//       // New node
+//       nodes.push({
+//         id: id,
+//         label: id.endsWith("*") ? "*" : id,
+//         x: trace.id,
+//         y: hop.number / 2,
+//         traceId: trace.id,
+//         size: 9,
+//         labelSize: 30,
+//         color: color(trace.id),
+//       });
+//
+//       if (prevId) {
+//         // New link
+//         links.push({
+//           label: hop.link_latency,
+//           source: prevId,
+//           target: id,
+//           traceId: trace.id,
+//           origin: trace.origin,
+//           size: 3,
+//           color: color(trace.id),
+//         });
+//       }
+//
+//       prevId = id;
+//       latestNumber = hop.number;
+//     });
+//
+//     /**
+//      * Last "destination" node, just for candy
+//      */
+//     nodes.push({
+//       id: trace.id,
+//       label: trace.target,
+//       traceId: trace.id,
+//       x: trace.id,
+//       y: (latestNumber + 1) / 2,
+//       size: 8,
+//       color: "black",
+//     });
+//
+//     links.push({
+//       label: "-",
+//       size: 8,
+//       traceId: trace.id,
+//       source: prevId,
+//       target: trace.id,
+//     });
+//   });
+//
+//   // { id: ip, group: origin, radius: 2 }
+//   // { source: prev.ip, target: ip, value: latency }
+//   return {
+//     nodes,
+//     links,
+//   };
+// };
+
+async function main() {
+  const response = await fetch("/trace/");
+  const data = await response.json();
+
+  console.log("Traces:", data);
+
+  console.log("Data:", data);
+
+  drawSigma(data);
+}
+
+main();

tsconfig.json

@@ -0,0 +1,10 @@
+{
+  "compilerOptions": {
+    "target": "es2016",
+    "module": "commonjs",
+    "esModuleInterop": true,
+    "forceConsistentCasingInFileNames": true,
+    "strict": true,
+    "skipLibCheck": true
+  }
+}