feat: add LoRa Manager E2E testing skill documentation

Introduce comprehensive documentation for the new `lora-manager-e2e` skill, which provides end-to-end testing workflows for LoRa Manager. The skill enables automated validation of standalone mode, including server management, UI interaction via Chrome DevTools MCP, and frontend-to-backend integration testing.

Key additions:
- Detailed skill description and prerequisites
- Quick start workflow for server setup and browser debugging
- Common E2E test patterns for page load verification, server restart, and API testing
- Example test flows demonstrating step-by-step validation procedures
- Scripts and MCP command examples for practical implementation

This documentation supports automated testing of LoRa Manager's web interface and backend functionality, ensuring reliable end-to-end validation of features.
This commit is contained in:
Will Miao
2026-02-02 12:15:58 +08:00
parent e252e44403
commit 1daaff6bd4
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# Chrome DevTools MCP Cheatsheet for LoRa Manager
Quick reference for common MCP commands used in LoRa Manager E2E testing.
## Navigation
```python
# Navigate to LoRA list page
navigate_page(type="url", url="http://127.0.0.1:8188/loras")
# Reload page with cache clear
navigate_page(type="reload", ignoreCache=True)
# Go back/forward
navigate_page(type="back")
navigate_page(type="forward")
```
## Waiting
```python
# Wait for text to appear
wait_for(text="LoRAs", timeout=10000)
# Wait for specific element (via evaluate_script)
evaluate_script(function="""
() => {
return new Promise((resolve) => {
const check = () => {
if (document.querySelector('.lora-card')) {
resolve(true);
} else {
setTimeout(check, 100);
}
};
check();
});
}
""")
```
## Taking Snapshots
```python
# Full page snapshot
snapshot = take_snapshot()
# Verbose snapshot (more details)
snapshot = take_snapshot(verbose=True)
# Save to file
take_snapshot(filePath="test-snapshots/page-load.json")
```
## Element Interaction
```python
# Click element
click(uid="element-uid-from-snapshot")
# Double click
click(uid="element-uid", dblClick=True)
# Fill input
fill(uid="search-input", value="test query")
# Fill multiple inputs
fill_form(elements=[
{"uid": "input-1", "value": "value 1"},
{"uid": "input-2", "value": "value 2"},
])
# Hover
hover(uid="lora-card-1")
# Upload file
upload_file(uid="file-input", filePath="/path/to/file.safetensors")
```
## Keyboard Input
```python
# Press key
press_key(key="Enter")
press_key(key="Escape")
press_key(key="Tab")
# Keyboard shortcuts
press_key(key="Control+A") # Select all
press_key(key="Control+F") # Find
```
## JavaScript Evaluation
```python
# Simple evaluation
result = evaluate_script(function="() => document.title")
# Async evaluation
result = evaluate_script(function="""
async () => {
const response = await fetch('/loras/api/list');
return await response.json();
}
""")
# Check element existence
exists = evaluate_script(function="""
() => document.querySelector('.lora-card') !== null
""")
# Get element count
count = evaluate_script(function="""
() => document.querySelectorAll('.lora-card').length
""")
```
## Network Monitoring
```python
# List all network requests
requests = list_network_requests()
# Filter by resource type
xhr_requests = list_network_requests(resourceTypes=["xhr", "fetch"])
# Get specific request details
details = get_network_request(reqid=123)
# Include preserved requests from previous navigations
all_requests = list_network_requests(includePreservedRequests=True)
```
## Console Monitoring
```python
# List all console messages
messages = list_console_messages()
# Filter by type
errors = list_console_messages(types=["error", "warn"])
# Include preserved messages
all_messages = list_console_messages(includePreservedMessages=True)
# Get specific message
details = get_console_message(msgid=1)
```
## Performance Testing
```python
# Start trace with page reload
performance_start_trace(reload=True, autoStop=False)
# Start trace without reload
performance_start_trace(reload=False, autoStop=True, filePath="trace.json.gz")
# Stop trace
results = performance_stop_trace()
# Stop and save
performance_stop_trace(filePath="trace-results.json.gz")
# Analyze specific insight
insight = performance_analyze_insight(
insightSetId="results.insightSets[0].id",
insightName="LCPBreakdown"
)
```
## Page Management
```python
# List open pages
pages = list_pages()
# Select a page
select_page(pageId=0, bringToFront=True)
# Create new page
new_page(url="http://127.0.0.1:8188/loras")
# Close page (keep at least one open!)
close_page(pageId=1)
# Resize page
resize_page(width=1920, height=1080)
```
## Screenshots
```python
# Full page screenshot
take_screenshot(fullPage=True)
# Viewport screenshot
take_screenshot()
# Element screenshot
take_screenshot(uid="lora-card-1")
# Save to file
take_screenshot(filePath="screenshots/page.png", format="png")
# JPEG with quality
take_screenshot(filePath="screenshots/page.jpg", format="jpeg", quality=90)
```
## Dialog Handling
```python
# Accept dialog
handle_dialog(action="accept")
# Accept with text input
handle_dialog(action="accept", promptText="user input")
# Dismiss dialog
handle_dialog(action="dismiss")
```
## Device Emulation
```python
# Mobile viewport
emulate(viewport={"width": 375, "height": 667, "isMobile": True, "hasTouch": True})
# Tablet viewport
emulate(viewport={"width": 768, "height": 1024, "isMobile": True, "hasTouch": True})
# Desktop viewport
emulate(viewport={"width": 1920, "height": 1080})
# Network throttling
emulate(networkConditions="Slow 3G")
emulate(networkConditions="Fast 4G")
# CPU throttling
emulate(cpuThrottlingRate=4) # 4x slowdown
# Geolocation
emulate(geolocation={"latitude": 37.7749, "longitude": -122.4194})
# User agent
emulate(userAgent="Mozilla/5.0 (Custom)")
# Reset emulation
emulate(viewport=None, networkConditions="No emulation", userAgent=None)
```
## Drag and Drop
```python
# Drag element to another
drag(from_uid="draggable-item", to_uid="drop-zone")
```
## Common LoRa Manager Test Patterns
### Verify LoRA Cards Loaded
```python
navigate_page(type="url", url="http://127.0.0.1:8188/loras")
wait_for(text="LoRAs", timeout=10000)
# Check if cards loaded
result = evaluate_script(function="""
() => {
const cards = document.querySelectorAll('.lora-card');
return {
count: cards.length,
hasData: cards.length > 0
};
}
""")
```
### Search and Verify Results
```python
fill(uid="search-input", value="character")
press_key(key="Enter")
wait_for(timeout=2000) # Wait for debounce
# Check results
result = evaluate_script(function="""
() => {
const cards = document.querySelectorAll('.lora-card');
const names = Array.from(cards).map(c => c.dataset.name || c.textContent);
return { count: cards.length, names };
}
""")
```
### Check API Response
```python
# Trigger API call
evaluate_script(function="""
() => window.loraApiCallPromise = fetch('/loras/api/list').then(r => r.json())
""")
# Wait and get result
import time
time.sleep(1)
result = evaluate_script(function="""
async () => await window.loraApiCallPromise
""")
```
### Monitor Console for Errors
```python
# Before test: clear console (navigate reloads)
navigate_page(type="reload")
# ... perform actions ...
# Check for errors
errors = list_console_messages(types=["error"])
assert len(errors) == 0, f"Console errors: {errors}"
```

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# LoRa Manager E2E Test Scenarios
This document provides detailed test scenarios for end-to-end validation of LoRa Manager features.
## Table of Contents
1. [LoRA List Page](#lora-list-page)
2. [Model Details](#model-details)
3. [Recipes](#recipes)
4. [Settings](#settings)
5. [Import/Export](#importexport)
---
## LoRA List Page
### Scenario: Page Load and Display
**Objective**: Verify the LoRA list page loads correctly and displays models.
**Steps**:
1. Navigate to `http://127.0.0.1:8188/loras`
2. Wait for page title "LoRAs" to appear
3. Take snapshot to verify:
- Header with "LoRAs" title is visible
- Search/filter controls are present
- Grid/list view toggle exists
- LoRA cards are displayed (if models exist)
- Pagination controls (if applicable)
**Expected Result**: Page loads without errors, UI elements are present.
### Scenario: Search Functionality
**Objective**: Verify search filters LoRA models correctly.
**Steps**:
1. Ensure at least one LoRA exists with known name (e.g., "test-character")
2. Navigate to LoRA list page
3. Enter search term in search box: "test"
4. Press Enter or click search button
5. Wait for results to update
**Expected Result**: Only LoRAs matching search term are displayed.
**Verification Script**:
```python
# After search, verify filtered results
evaluate_script(function="""
() => {
const cards = document.querySelectorAll('.lora-card');
const names = Array.from(cards).map(c => c.dataset.name);
return { count: cards.length, names };
}
""")
```
### Scenario: Filter by Tags
**Objective**: Verify tag filtering works correctly.
**Steps**:
1. Navigate to LoRA list page
2. Click on a tag (e.g., "character", "style")
3. Wait for filtered results
**Expected Result**: Only LoRAs with selected tag are displayed.
### Scenario: View Mode Toggle
**Objective**: Verify grid/list view toggle works.
**Steps**:
1. Navigate to LoRA list page
2. Click list view button
3. Verify list layout
4. Click grid view button
5. Verify grid layout
**Expected Result**: View mode changes correctly, layout updates.
---
## Model Details
### Scenario: Open Model Details
**Objective**: Verify clicking a LoRA opens its details.
**Steps**:
1. Navigate to LoRA list page
2. Click on a LoRA card
3. Wait for details panel/modal to open
**Expected Result**: Details panel shows:
- Model name
- Preview image
- Metadata (trigger words, tags, etc.)
- Action buttons (edit, delete, etc.)
### Scenario: Edit Model Metadata
**Objective**: Verify metadata editing works end-to-end.
**Steps**:
1. Open a LoRA's details
2. Click "Edit" button
3. Modify trigger words field
4. Add/remove tags
5. Save changes
6. Refresh page
7. Reopen the same LoRA
**Expected Result**: Changes persist after refresh.
### Scenario: Delete Model
**Objective**: Verify model deletion works.
**Steps**:
1. Open a LoRA's details
2. Click "Delete" button
3. Confirm deletion in dialog
4. Wait for removal
**Expected Result**: Model removed from list, success message shown.
---
## Recipes
### Scenario: Recipe List Display
**Objective**: Verify recipes page loads and displays recipes.
**Steps**:
1. Navigate to `http://127.0.0.1:8188/recipes`
2. Wait for "Recipes" title
3. Take snapshot
**Expected Result**: Recipe list displayed with cards/items.
### Scenario: Create New Recipe
**Objective**: Verify recipe creation workflow.
**Steps**:
1. Navigate to recipes page
2. Click "New Recipe" button
3. Fill recipe form:
- Name: "Test Recipe"
- Description: "E2E test recipe"
- Add LoRA models
4. Save recipe
5. Verify recipe appears in list
**Expected Result**: New recipe created and displayed.
### Scenario: Apply Recipe
**Objective**: Verify applying a recipe to ComfyUI.
**Steps**:
1. Open a recipe
2. Click "Apply" or "Load in ComfyUI"
3. Verify action completes
**Expected Result**: Recipe applied successfully.
---
## Settings
### Scenario: Settings Page Load
**Objective**: Verify settings page displays correctly.
**Steps**:
1. Navigate to `http://127.0.0.1:8188/settings`
2. Wait for "Settings" title
3. Take snapshot
**Expected Result**: Settings form with various options displayed.
### Scenario: Change Setting and Restart
**Objective**: Verify settings persist after restart.
**Steps**:
1. Navigate to settings page
2. Change a setting (e.g., default view mode)
3. Save settings
4. Restart server: `python scripts/start_server.py --restart --wait`
5. Refresh browser page
6. Navigate to settings
**Expected Result**: Changed setting value persists.
---
## Import/Export
### Scenario: Export Models List
**Objective**: Verify export functionality.
**Steps**:
1. Navigate to LoRA list
2. Click "Export" button
3. Select format (JSON/CSV)
4. Download file
**Expected Result**: File downloaded with correct data.
### Scenario: Import Models
**Objective**: Verify import functionality.
**Steps**:
1. Prepare import file
2. Navigate to import page
3. Upload file
4. Verify import results
**Expected Result**: Models imported successfully, confirmation shown.
---
## API Integration Tests
### Scenario: Verify API Endpoints
**Objective**: Verify backend API responds correctly.
**Test via browser console**:
```javascript
// List LoRAs
fetch('/loras/api/list').then(r => r.json()).then(console.log)
// Get LoRA details
fetch('/loras/api/detail/<id>').then(r => r.json()).then(console.log)
// Search LoRAs
fetch('/loras/api/search?q=test').then(r => r.json()).then(console.log)
```
**Expected Result**: APIs return valid JSON with expected structure.
---
## Console Error Monitoring
During all tests, monitor browser console for errors:
```python
# Check for JavaScript errors
messages = list_console_messages(types=["error"])
assert len(messages) == 0, f"Console errors found: {messages}"
```
## Network Request Verification
Verify key API calls are made:
```python
# List XHR requests
requests = list_network_requests(resourceTypes=["xhr", "fetch"])
# Look for specific endpoints
lora_list_requests = [r for r in requests if "/api/list" in r.get("url", "")]
assert len(lora_list_requests) > 0, "LoRA list API not called"
```