feat: add default area feature

Author: peterwoodworth

action.yml

@@ -7,6 +7,9 @@ inputs:
   parameters:
     description: "JSON array of keywords to look for and labels and assignees to be set when there's a keyword match"
     required: true
+  default-area:
+    description: "Labels and assignees to apply when no keywords are detected"
+    required: false
   excluded-expressions:
     description: "Words to exclude from search"
     required: true

lib/index.js

@@ -28137,6 +28137,7 @@ class Issue {
             this.bodyIssueWords = body.split(/ |\(|\)|\./);
         }
         this.parameters = JSON.parse(core.getInput("parameters", { required: true }));
+        this.defaultArea = JSON.parse(core.getInput("default-area", { required: true }));
         this.similarity = +core.getInput("similarity", { required: false });
         this.bodyValue = +core.getInput("body-value", { required: false });
     }
@@ -28162,29 +28163,7 @@ class Issue {
             });
         }
         console.log("Area scores: ", ...potentialAreas);
-        let winningArea = '';
-        let winners = new Map();
-        for (let area of potentialAreas.entries()) {
-            if (winners.size === 0) {
-                winners.set(area[0], area[1]);
-            }
-            else if (area[1] > winners.values().next().value) {
-                winners = new Map();
-                winners.set(area[0], area[1]);
-            }
-            else if (area[1] === winners.values().next().value) {
-                winners.set(area[0], area[1]);
-            }
-        }
-        // tiebreaker goes to the area with more *exact* keyword matches
-        if (winners.size > 1 && this.similarity !== 0) {
-            this.similarity = 0;
-            winningArea = this.determineArea();
-        }
-        else if (winners.size > 0) {
-            winningArea = winners.keys().next().value;
-        }
-        winningArea = winners.keys().next().value;
+        const winningArea = this.decideWinner(potentialAreas);
         console.log("Winning area: " + winningArea);
         return winningArea;
     }
@@ -28214,6 +28193,31 @@ class Issue {
         });
         return potentialAreas;
     }
+    decideWinner(potentialAreas) {
+        let winningArea = '';
+        let winners = new Map();
+        for (let area of potentialAreas.entries()) {
+            if (winners.size === 0) {
+                winners.set(area[0], area[1]);
+            }
+            else if (area[1] > winners.values().next().value) {
+                winners = new Map();
+                winners.set(area[0], area[1]);
+            }
+            else if (area[1] === winners.values().next().value) {
+                winners.set(area[0], area[1]);
+            }
+        }
+        // tiebreaker goes to the area with more *exact* keyword matches
+        if (winners.size > 1 && this.similarity !== 0) {
+            this.similarity = 0;
+            winningArea = this.determineArea();
+        }
+        else if (winners.size > 0) {
+            winningArea = winners.keys().next().value;
+        }
+        return winningArea;
+    }
     isSimilar(str1, str2) {
         return (((str1.length + str2.length) / 2) * this.similarity);
     }

src/issue.ts

@@ -1,9 +1,12 @@
 import * as core from "@actions/core";
 import levenshtein from 'js-levenshtein';
 
-export interface IParameter {
+export interface IParameter extends IDefaultArea {
   area: string;
   keywords: string[];
+}
+
+export interface IDefaultArea {
   labels: string[];
   assignees: string[];
 }
@@ -12,6 +15,7 @@ export class Issue {
   private titleIssueWords?: string[];
   private bodyIssueWords?: string[];
   public parameters: IParameter[];
+  public defaultArea: IDefaultArea;
   private similarity: number;
   private bodyValue: number;
 
@@ -32,6 +36,7 @@ export class Issue {
       this.bodyIssueWords = body.split(/ |\(|\)|\./);
     }
     this.parameters = JSON.parse(core.getInput("parameters", {required: true}));
+    this.defaultArea = JSON.parse(core.getInput("default-area", {required: true}));
     this.similarity = +core.getInput("similarity", {required: false});
     this.bodyValue = +core.getInput("body-value", {required: false});
   }
@@ -63,28 +68,7 @@ export class Issue {
 
     console.log("Area scores: ", ...potentialAreas);
 
-    let winningArea = '';
-    let winners: Map<string,number> = new Map();
-    for (let area of potentialAreas.entries()) {
-      if(winners.size === 0) {
-        winners.set(area[0], area[1]);
-      } else if (area[1] > winners.values().next().value) {
-        winners = new Map();
-        winners.set(area[0], area[1]);
-      } else if (area[1] === winners.values().next().value) {
-        winners.set(area[0], area[1]);
-      }
-    }
-    // tiebreaker goes to the area with more *exact* keyword matches
-    if(winners.size > 1 && this.similarity !== 0) {
-      this.similarity = 0;
-      winningArea = this.determineArea();
-    } else if (winners.size > 0) {
-      winningArea = winners.keys().next().value;
-    } 
-      
-    winningArea = winners.keys().next().value;
-
+    const winningArea = this.decideWinner(potentialAreas);
     console.log("Winning area: " + winningArea);
 
     return winningArea;
@@ -120,6 +104,29 @@ export class Issue {
     return potentialAreas;
   }
 
+  private decideWinner(potentialAreas: Map<string, number>): string {
+    let winningArea = '';
+    let winners: Map<string,number> = new Map();
+    for (let area of potentialAreas.entries()) {
+      if(winners.size === 0) {
+        winners.set(area[0], area[1]);
+      } else if (area[1] > winners.values().next().value) {
+        winners = new Map();
+        winners.set(area[0], area[1]);
+      } else if (area[1] === winners.values().next().value) {
+        winners.set(area[0], area[1]);
+      }
+    }
+    // tiebreaker goes to the area with more *exact* keyword matches
+    if(winners.size > 1 && this.similarity !== 0) {
+      this.similarity = 0;
+      winningArea = this.determineArea();
+    } else if (winners.size > 0) {
+      winningArea = winners.keys().next().value;
+    } 
+    return winningArea;
+  }
+
   private isSimilar(str1: string, str2: string): number {
     return (((str1.length + str2.length) / 2) * this.similarity);
   }