test: add mock data fixtures for backend API responses (#10662)

## Summary Add deterministic mock data fixtures for browser tests so they can use `page.route()` to intercept API calls without depending on a live backend. ## Changes - **`browser_tests/fixtures/data/nodeDefinitions.ts`** — Mock `ComfyNodeDef` objects for KSampler, CheckpointLoaderSimple, and CLIPTextEncode - **`browser_tests/fixtures/data/systemStats.ts`** — Mock `SystemStats` with realistic RTX 4090 GPU info - **`browser_tests/fixtures/data/README.md`** — Usage guide for `page.route()` interception All fixtures are typed against the Zod schemas in `src/schemas/` and pass `pnpm typecheck:browser`. ┆Issue is synchronized with this [Notion page](https://www.notion.so/PR-10662-test-add-mock-data-fixtures-for-backend-API-responses-3316d73d3650813ea5c8c1faa215db63) by [Unito](https://www.unito.io) --------- Co-authored-by: dante01yoon <bunggl@naver.com> Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Co-authored-by: GitHub Action <action@github.com>
2026-05-03 20:51:58 +00:00 · 2026-03-29 15:55:50 -07:00
parent 1e7c8d9889
commit 04f90b7a05
6 changed files with 223 additions and 1 deletions
--- a/browser_tests/fixtures/data/nodeDefinitions.ts
+++ b/browser_tests/fixtures/data/nodeDefinitions.ts
@@ -0,0 +1,155 @@
+import type { ComfyNodeDef } from '@/schemas/nodeDefSchema'
+
+/**
+ * Base node definitions covering the default workflow.
+ * Use {@link createMockNodeDefinitions} to extend with per-test overrides.
+ */
+const baseNodeDefinitions: Record<string, ComfyNodeDef> = {
+  KSampler: {
+    input: {
+      required: {
+        model: ['MODEL', {}],
+        seed: [
+          'INT',
+          {
+            default: 0,
+            min: 0,
+            max: 0xfffffffffffff,
+            control_after_generate: true
+          }
+        ],
+        steps: ['INT', { default: 20, min: 1, max: 10000 }],
+        cfg: ['FLOAT', { default: 8.0, min: 0.0, max: 100.0, step: 0.1 }],
+        sampler_name: [['euler', 'euler_ancestral', 'heun', 'dpm_2'], {}],
+        scheduler: [['normal', 'karras', 'exponential', 'simple'], {}],
+        positive: ['CONDITIONING', {}],
+        negative: ['CONDITIONING', {}],
+        latent_image: ['LATENT', {}]
+      },
+      optional: {
+        denoise: ['FLOAT', { default: 1.0, min: 0.0, max: 1.0, step: 0.01 }]
+      }
+    },
+    output: ['LATENT'],
+    output_is_list: [false],
+    output_name: ['LATENT'],
+    name: 'KSampler',
+    display_name: 'KSampler',
+    description: 'Samples latents using the provided model and conditioning.',
+    category: 'sampling',
+    output_node: false,
+    python_module: 'nodes',
+    deprecated: false,
+    experimental: false
+  },
+
+  CheckpointLoaderSimple: {
+    input: {
+      required: {
+        ckpt_name: [
+          ['v1-5-pruned.safetensors', 'sd_xl_base_1.0.safetensors'],
+          {}
+        ]
+      }
+    },
+    output: ['MODEL', 'CLIP', 'VAE'],
+    output_is_list: [false, false, false],
+    output_name: ['MODEL', 'CLIP', 'VAE'],
+    name: 'CheckpointLoaderSimple',
+    display_name: 'Load Checkpoint',
+    description: 'Loads a diffusion model checkpoint.',
+    category: 'loaders',
+    output_node: false,
+    python_module: 'nodes',
+    deprecated: false,
+    experimental: false
+  },
+
+  CLIPTextEncode: {
+    input: {
+      required: {
+        text: ['STRING', { multiline: true, dynamicPrompts: true }],
+        clip: ['CLIP', {}]
+      }
+    },
+    output: ['CONDITIONING'],
+    output_is_list: [false],
+    output_name: ['CONDITIONING'],
+    name: 'CLIPTextEncode',
+    display_name: 'CLIP Text Encode (Prompt)',
+    description: 'Encodes a text prompt using a CLIP model.',
+    category: 'conditioning',
+    output_node: false,
+    python_module: 'nodes',
+    deprecated: false,
+    experimental: false
+  },
+
+  EmptyLatentImage: {
+    input: {
+      required: {
+        width: ['INT', { default: 512, min: 16, max: 16384, step: 8 }],
+        height: ['INT', { default: 512, min: 16, max: 16384, step: 8 }],
+        batch_size: ['INT', { default: 1, min: 1, max: 4096 }]
+      }
+    },
+    output: ['LATENT'],
+    output_is_list: [false],
+    output_name: ['LATENT'],
+    name: 'EmptyLatentImage',
+    display_name: 'Empty Latent Image',
+    description: 'Creates an empty latent image of the specified dimensions.',
+    category: 'latent',
+    output_node: false,
+    python_module: 'nodes',
+    deprecated: false,
+    experimental: false
+  },
+
+  VAEDecode: {
+    input: {
+      required: {
+        samples: ['LATENT', {}],
+        vae: ['VAE', {}]
+      }
+    },
+    output: ['IMAGE'],
+    output_is_list: [false],
+    output_name: ['IMAGE'],
+    name: 'VAEDecode',
+    display_name: 'VAE Decode',
+    description: 'Decodes latent images back into pixel space.',
+    category: 'latent',
+    output_node: false,
+    python_module: 'nodes',
+    deprecated: false,
+    experimental: false
+  },
+
+  SaveImage: {
+    input: {
+      required: {
+        images: ['IMAGE', {}],
+        filename_prefix: ['STRING', { default: 'ComfyUI' }]
+      }
+    },
+    output: [],
+    output_is_list: [],
+    output_name: [],
+    name: 'SaveImage',
+    display_name: 'Save Image',
+    description: 'Saves images to the output directory.',
+    category: 'image',
+    output_node: true,
+    python_module: 'nodes',
+    deprecated: false,
+    experimental: false
+  }
+}
+
+export function createMockNodeDefinitions(
+  overrides?: Record<string, ComfyNodeDef>
+): Record<string, ComfyNodeDef> {
+  const base = structuredClone(baseNodeDefinitions)
+  return overrides ? { ...base, ...overrides } : base
+}