chore: OPTIC-1234: add examples of how to mock the api endpoint for runtime

web/apps/labelstudio/src/config/ApiConfig.example.js

@@ -0,0 +1,139 @@
+/* 
+to mock a request, you can define the endpoint with a schema that looks like this:
+endpointName:{                              //endpointName is what is used when calling callAPI, passed in as a string
+      method: "GET",                        //Optional. defaults to GET. options are GET, POST, PATCH, DELETE
+      mock: undefined,                      //Optional. function that returns the mock data
+      path: "/tasks/:taskID/annotations",   //Required. path to the endpoint you want to mock
+}
+see an example below
+*/
+export const API_CONFIG = {
+  gateway: `${window.APP_SETTINGS.hostname}/api`,
+  endpoints: {
+    project: {
+      path: "/projects/:pk",
+      mock: (url, params, fakeRequest) => {
+        console.log("mock", url, params, fakeRequest);
+        const response = {
+          id: params.pk,
+          title: "My Sample Project",
+          description: "",
+          label_config:
+            '<View>\n  <Text name="text" value="$text" />\n  <View style="box-shadow: 2px 2px 5px #999;\n               padding: 20px; margin-top: 2em;\n               border-radius: 5px;" >\n    <Header value="Choose text sentiment"/>\n    <Choices name="sentiment" toName="text"\n             choice="single" showInLine="true" >\n      <Choice value="Positive"/>\n      <Choice value="Negative"/>\n      <Choice value="Neutral"/>\n    </Choices>\n  </View>\n</View>\n\n<!-- {\n  "data": {"text": "This is a great 3D movie that delivers everything almost right in your face."}\n} -->',
+          expert_instruction: "",
+          show_instruction: false,
+          show_skip_button: true,
+          enable_empty_annotation: true,
+          show_annotation_history: false,
+          organization: 1,
+          color: "#FFFFFF",
+          maximum_annotations: 1,
+          is_published: false,
+          model_version: "model 0",
+          is_draft: false,
+          created_by: {
+            id: 1,
+            first_name: "",
+            last_name: "",
+            email: "[email protected]",
+            avatar: null,
+          },
+          created_at: "2024-07-04T10:05:02.630847Z",
+          min_annotations_to_start_training: 0,
+          start_training_on_annotation_update: false,
+          show_collab_predictions: true,
+          num_tasks_with_annotations: 100,
+          task_number: 101,
+          useful_annotation_number: 200,
+          ground_truth_number: 100,
+          skipped_annotations_number: 0,
+          total_annotations_number: 300,
+          total_predictions_number: 100,
+          sampling: "Sequential sampling",
+          show_ground_truth_first: false,
+          show_overlap_first: false,
+          overlap_cohort_percentage: 100,
+          task_data_login: null,
+          task_data_password: null,
+          control_weights: {
+            sentiment: {
+              type: "Choices",
+              labels: {
+                Neutral: 1.0,
+                Negative: 1.0,
+                Positive: 1.0,
+              },
+              overall: 1.0,
+            },
+          },
+          parsed_label_config: {
+            sentiment: {
+              type: "Choices",
+              inputs: [
+                {
+                  type: "Text",
+                  value: "text",
+                  valueType: null,
+                },
+              ],
+              labels: ["Positive", "Negative", "Neutral"],
+              to_name: ["text"],
+              labels_attrs: {
+                Neutral: {
+                  value: "Neutral",
+                },
+                Negative: {
+                  value: "Negative",
+                },
+                Positive: {
+                  value: "Positive",
+                },
+              },
+            },
+          },
+          evaluate_predictions_automatically: false,
+          config_has_control_tags: true,
+          skip_queue: "REQUEUE_FOR_OTHERS",
+          reveal_preannotations_interactively: false,
+          pinned_at: null,
+          finished_task_number: 100,
+          queue_total: 101,
+          queue_done: 100,
+          workspace: 74097,
+          review_settings: {
+            id: 1,
+            requeue_rejected_tasks_to_annotator: false,
+            review_criteria: "one",
+            anonymize_annotations: false,
+            only_finished_tasks: false,
+            instruction: "",
+            show_instruction: false,
+            show_data_manager_to_reviewers: true,
+            show_agreement_to_reviewers: false,
+            require_comment_on_reject: false,
+            requeue_rejected_tasks_mode: "remove",
+            review_only_manual_assignments: false,
+            project: 1,
+          },
+          assignment_settings: {
+            id: 1,
+            label_stream_task_distribution: "auto_distribution",
+            project: 1,
+          },
+          members: [],
+          custom_script: null,
+          comment_classification_config: null,
+          duplication_done: null,
+          require_comment_on_skip: false,
+          data_types: {
+            text: "Text",
+          },
+          reviewer_queue_total: 0,
+          queue_left: 0,
+          members_count: 0,
+        };
+        return response;
+      },
+    },
+  },
+};

web/apps/labelstudio/src/pages/DataManager/api-config.example.js

@@ -0,0 +1,64 @@
+/* 
+to mock a request, you can define the endpoint with a schema that looks like this:
+endpointName:{                              //endpointName is what is used when calling callAPI, passed in as a string
+      method: "GET",                        //Optional. defaults to GET. options are GET, POST, PATCH, DELETE
+      mock: undefined,                      //Optional. function that returns the mock data
+      path: "/tasks/:taskID/annotations",   //Required. path to the endpoint you want to mock
+}
+see an example below
+*/
+export const APIConfig = {
+  gateway: "/api/dm",
+  endpoints: {
+    tasks: {
+      path: "/tasks",
+      mock: (url, params, fakeRequest) => {
+        console.log("mock", url, params, fakeRequest);
+        return {
+          total_annotations: 1,
+          total_predictions: 1,
+          total: 1,
+          tasks: [
+            {
+              id: 1,
+              agreement: null,
+              drafts: [],
+              annotators: [],
+              inner_id: 101,
+              cancelled_annotations: 0,
+              total_annotations: 0,
+              total_predictions: 0,
+              completed_at: null,
+              annotations_results: "",
+              predictions_results: "",
+              file_upload: null,
+              storage_filename: null,
+              annotations_ids: "",
+              predictions_model_versions: "",
+              updated_by: [],
+              reviewers: [],
+              comments: "",
+              comment_authors: [],
+              reviewed: null,
+              reviews_accepted: 0,
+              reviews_rejected: 0,
+              ground_truth: null,
+              data: {
+                text: "/storage-data/uploaded/?filepath=upload/390739/eb88d7f7-lorem-ipsum.txt",
+              },
+              meta: {},
+              created_at: "2024-07-04T10:29:58.730116Z",
+              updated_at: "2024-07-04T10:29:58.730126Z",
+              is_labeled: false,
+              overlap: 1,
+              comment_count: 0,
+              unresolved_comment_count: 0,
+              last_comment_updated_at: null,
+              project: params.project,
+            },
+          ],
+        };
+      },
+    },
+  },
+};

web/apps/labelstudio/src/utils/api-proxy.js

@@ -460,6 +460,11 @@ export class APIProxy {
           json() {
             return Promise.resolve(response);
           },
+          text() {
+            return JSON.stringify(response);
+          },
+          headers: {},
+          status: 200,
         });
       }, this.mockDelay);
     });