mirror of
https://github.com/willmiao/ComfyUI-Lora-Manager.git
synced 2026-03-21 21:22:11 -03:00
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:
324
.agents/skills/lora-manager-e2e/references/mcp-cheatsheet.md
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324
.agents/skills/lora-manager-e2e/references/mcp-cheatsheet.md
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# Chrome DevTools MCP Cheatsheet for LoRa Manager
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Quick reference for common MCP commands used in LoRa Manager E2E testing.
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## Navigation
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```python
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# Navigate to LoRA list page
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navigate_page(type="url", url="http://127.0.0.1:8188/loras")
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# Reload page with cache clear
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navigate_page(type="reload", ignoreCache=True)
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# Go back/forward
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navigate_page(type="back")
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navigate_page(type="forward")
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```
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## Waiting
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```python
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# Wait for text to appear
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wait_for(text="LoRAs", timeout=10000)
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# Wait for specific element (via evaluate_script)
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evaluate_script(function="""
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() => {
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return new Promise((resolve) => {
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const check = () => {
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if (document.querySelector('.lora-card')) {
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resolve(true);
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} else {
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setTimeout(check, 100);
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}
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};
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check();
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});
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}
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""")
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```
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## Taking Snapshots
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```python
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# Full page snapshot
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snapshot = take_snapshot()
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# Verbose snapshot (more details)
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snapshot = take_snapshot(verbose=True)
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# Save to file
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take_snapshot(filePath="test-snapshots/page-load.json")
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```
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## Element Interaction
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```python
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# Click element
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click(uid="element-uid-from-snapshot")
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# Double click
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click(uid="element-uid", dblClick=True)
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# Fill input
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fill(uid="search-input", value="test query")
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# Fill multiple inputs
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fill_form(elements=[
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{"uid": "input-1", "value": "value 1"},
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{"uid": "input-2", "value": "value 2"},
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])
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# Hover
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hover(uid="lora-card-1")
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# Upload file
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upload_file(uid="file-input", filePath="/path/to/file.safetensors")
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```
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## Keyboard Input
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```python
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# Press key
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press_key(key="Enter")
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press_key(key="Escape")
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press_key(key="Tab")
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# Keyboard shortcuts
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press_key(key="Control+A") # Select all
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press_key(key="Control+F") # Find
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```
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## JavaScript Evaluation
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```python
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# Simple evaluation
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result = evaluate_script(function="() => document.title")
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# Async evaluation
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result = evaluate_script(function="""
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async () => {
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const response = await fetch('/loras/api/list');
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return await response.json();
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}
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""")
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# Check element existence
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exists = evaluate_script(function="""
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() => document.querySelector('.lora-card') !== null
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""")
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# Get element count
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count = evaluate_script(function="""
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() => document.querySelectorAll('.lora-card').length
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""")
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```
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## Network Monitoring
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```python
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# List all network requests
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requests = list_network_requests()
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# Filter by resource type
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xhr_requests = list_network_requests(resourceTypes=["xhr", "fetch"])
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# Get specific request details
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details = get_network_request(reqid=123)
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# Include preserved requests from previous navigations
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all_requests = list_network_requests(includePreservedRequests=True)
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```
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## Console Monitoring
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```python
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# List all console messages
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messages = list_console_messages()
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# Filter by type
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errors = list_console_messages(types=["error", "warn"])
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# Include preserved messages
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all_messages = list_console_messages(includePreservedMessages=True)
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# Get specific message
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details = get_console_message(msgid=1)
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```
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## Performance Testing
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```python
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# Start trace with page reload
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performance_start_trace(reload=True, autoStop=False)
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# Start trace without reload
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performance_start_trace(reload=False, autoStop=True, filePath="trace.json.gz")
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# Stop trace
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results = performance_stop_trace()
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# Stop and save
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performance_stop_trace(filePath="trace-results.json.gz")
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# Analyze specific insight
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insight = performance_analyze_insight(
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insightSetId="results.insightSets[0].id",
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insightName="LCPBreakdown"
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)
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```
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## Page Management
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```python
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# List open pages
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pages = list_pages()
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# Select a page
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select_page(pageId=0, bringToFront=True)
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# Create new page
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new_page(url="http://127.0.0.1:8188/loras")
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# Close page (keep at least one open!)
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close_page(pageId=1)
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# Resize page
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resize_page(width=1920, height=1080)
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```
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## Screenshots
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```python
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# Full page screenshot
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take_screenshot(fullPage=True)
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# Viewport screenshot
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take_screenshot()
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# Element screenshot
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take_screenshot(uid="lora-card-1")
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# Save to file
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take_screenshot(filePath="screenshots/page.png", format="png")
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# JPEG with quality
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take_screenshot(filePath="screenshots/page.jpg", format="jpeg", quality=90)
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```
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## Dialog Handling
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```python
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# Accept dialog
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handle_dialog(action="accept")
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# Accept with text input
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handle_dialog(action="accept", promptText="user input")
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# Dismiss dialog
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handle_dialog(action="dismiss")
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```
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## Device Emulation
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```python
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# Mobile viewport
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emulate(viewport={"width": 375, "height": 667, "isMobile": True, "hasTouch": True})
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# Tablet viewport
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emulate(viewport={"width": 768, "height": 1024, "isMobile": True, "hasTouch": True})
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# Desktop viewport
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emulate(viewport={"width": 1920, "height": 1080})
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# Network throttling
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emulate(networkConditions="Slow 3G")
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emulate(networkConditions="Fast 4G")
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# CPU throttling
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emulate(cpuThrottlingRate=4) # 4x slowdown
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# Geolocation
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emulate(geolocation={"latitude": 37.7749, "longitude": -122.4194})
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# User agent
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emulate(userAgent="Mozilla/5.0 (Custom)")
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# Reset emulation
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emulate(viewport=None, networkConditions="No emulation", userAgent=None)
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```
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## Drag and Drop
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```python
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# Drag element to another
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drag(from_uid="draggable-item", to_uid="drop-zone")
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```
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## Common LoRa Manager Test Patterns
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### Verify LoRA Cards Loaded
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```python
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navigate_page(type="url", url="http://127.0.0.1:8188/loras")
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wait_for(text="LoRAs", timeout=10000)
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# Check if cards loaded
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result = evaluate_script(function="""
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() => {
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const cards = document.querySelectorAll('.lora-card');
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return {
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count: cards.length,
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hasData: cards.length > 0
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};
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}
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""")
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```
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### Search and Verify Results
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```python
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fill(uid="search-input", value="character")
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press_key(key="Enter")
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wait_for(timeout=2000) # Wait for debounce
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# Check results
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result = evaluate_script(function="""
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() => {
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const cards = document.querySelectorAll('.lora-card');
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const names = Array.from(cards).map(c => c.dataset.name || c.textContent);
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return { count: cards.length, names };
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}
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""")
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```
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### Check API Response
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```python
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# Trigger API call
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evaluate_script(function="""
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() => window.loraApiCallPromise = fetch('/loras/api/list').then(r => r.json())
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""")
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# Wait and get result
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import time
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time.sleep(1)
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result = evaluate_script(function="""
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async () => await window.loraApiCallPromise
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""")
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```
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### Monitor Console for Errors
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```python
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# Before test: clear console (navigate reloads)
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navigate_page(type="reload")
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# ... perform actions ...
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# Check for errors
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errors = list_console_messages(types=["error"])
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assert len(errors) == 0, f"Console errors: {errors}"
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```
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272
.agents/skills/lora-manager-e2e/references/test-scenarios.md
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272
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# LoRa Manager E2E Test Scenarios
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This document provides detailed test scenarios for end-to-end validation of LoRa Manager features.
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## Table of Contents
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1. [LoRA List Page](#lora-list-page)
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2. [Model Details](#model-details)
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3. [Recipes](#recipes)
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4. [Settings](#settings)
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5. [Import/Export](#importexport)
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---
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## LoRA List Page
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### Scenario: Page Load and Display
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**Objective**: Verify the LoRA list page loads correctly and displays models.
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**Steps**:
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1. Navigate to `http://127.0.0.1:8188/loras`
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2. Wait for page title "LoRAs" to appear
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3. Take snapshot to verify:
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- Header with "LoRAs" title is visible
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- Search/filter controls are present
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- Grid/list view toggle exists
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- LoRA cards are displayed (if models exist)
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- Pagination controls (if applicable)
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**Expected Result**: Page loads without errors, UI elements are present.
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### Scenario: Search Functionality
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**Objective**: Verify search filters LoRA models correctly.
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**Steps**:
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1. Ensure at least one LoRA exists with known name (e.g., "test-character")
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2. Navigate to LoRA list page
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3. Enter search term in search box: "test"
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4. Press Enter or click search button
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5. Wait for results to update
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**Expected Result**: Only LoRAs matching search term are displayed.
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**Verification Script**:
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```python
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# After search, verify filtered results
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evaluate_script(function="""
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() => {
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const cards = document.querySelectorAll('.lora-card');
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const names = Array.from(cards).map(c => c.dataset.name);
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return { count: cards.length, names };
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}
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""")
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```
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### Scenario: Filter by Tags
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**Objective**: Verify tag filtering works correctly.
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**Steps**:
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1. Navigate to LoRA list page
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2. Click on a tag (e.g., "character", "style")
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3. Wait for filtered results
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**Expected Result**: Only LoRAs with selected tag are displayed.
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### Scenario: View Mode Toggle
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**Objective**: Verify grid/list view toggle works.
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**Steps**:
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1. Navigate to LoRA list page
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2. Click list view button
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3. Verify list layout
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4. Click grid view button
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5. Verify grid layout
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**Expected Result**: View mode changes correctly, layout updates.
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---
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## Model Details
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### Scenario: Open Model Details
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**Objective**: Verify clicking a LoRA opens its details.
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**Steps**:
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1. Navigate to LoRA list page
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2. Click on a LoRA card
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3. Wait for details panel/modal to open
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**Expected Result**: Details panel shows:
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- Model name
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- Preview image
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- Metadata (trigger words, tags, etc.)
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- Action buttons (edit, delete, etc.)
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### Scenario: Edit Model Metadata
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**Objective**: Verify metadata editing works end-to-end.
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**Steps**:
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1. Open a LoRA's details
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2. Click "Edit" button
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3. Modify trigger words field
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4. Add/remove tags
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5. Save changes
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6. Refresh page
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7. Reopen the same LoRA
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**Expected Result**: Changes persist after refresh.
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### Scenario: Delete Model
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**Objective**: Verify model deletion works.
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**Steps**:
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1. Open a LoRA's details
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2. Click "Delete" button
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3. Confirm deletion in dialog
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4. Wait for removal
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**Expected Result**: Model removed from list, success message shown.
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---
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## Recipes
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### Scenario: Recipe List Display
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**Objective**: Verify recipes page loads and displays recipes.
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**Steps**:
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1. Navigate to `http://127.0.0.1:8188/recipes`
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2. Wait for "Recipes" title
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3. Take snapshot
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**Expected Result**: Recipe list displayed with cards/items.
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### Scenario: Create New Recipe
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**Objective**: Verify recipe creation workflow.
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**Steps**:
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1. Navigate to recipes page
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2. Click "New Recipe" button
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3. Fill recipe form:
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- Name: "Test Recipe"
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- Description: "E2E test recipe"
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- Add LoRA models
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4. Save recipe
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5. Verify recipe appears in list
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**Expected Result**: New recipe created and displayed.
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### Scenario: Apply Recipe
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**Objective**: Verify applying a recipe to ComfyUI.
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**Steps**:
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1. Open a recipe
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2. Click "Apply" or "Load in ComfyUI"
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3. Verify action completes
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**Expected Result**: Recipe applied successfully.
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---
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## Settings
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### Scenario: Settings Page Load
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**Objective**: Verify settings page displays correctly.
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**Steps**:
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1. Navigate to `http://127.0.0.1:8188/settings`
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2. Wait for "Settings" title
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3. Take snapshot
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**Expected Result**: Settings form with various options displayed.
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### Scenario: Change Setting and Restart
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**Objective**: Verify settings persist after restart.
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**Steps**:
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1. Navigate to settings page
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2. Change a setting (e.g., default view mode)
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3. Save settings
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4. Restart server: `python scripts/start_server.py --restart --wait`
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5. Refresh browser page
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6. Navigate to settings
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**Expected Result**: Changed setting value persists.
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||||
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||||
---
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## Import/Export
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### Scenario: Export Models List
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**Objective**: Verify export functionality.
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||||
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**Steps**:
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1. Navigate to LoRA list
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2. Click "Export" button
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3. Select format (JSON/CSV)
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4. Download file
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||||
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**Expected Result**: File downloaded with correct data.
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||||
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### Scenario: Import Models
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**Objective**: Verify import functionality.
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||||
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**Steps**:
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1. Prepare import file
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||||
2. Navigate to import page
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||||
3. Upload file
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||||
4. Verify import results
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||||
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||||
**Expected Result**: Models imported successfully, confirmation shown.
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||||
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||||
---
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||||
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||||
## API Integration Tests
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||||
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### Scenario: Verify API Endpoints
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||||
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||||
**Objective**: Verify backend API responds correctly.
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||||
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||||
**Test via browser console**:
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||||
```javascript
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||||
// 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"
|
||||
```
|
||||
Reference in New Issue
Block a user