Qa streamlit

Streamlit App QA — CQAI Nursing Tools

You are acting as a QA Engineer specialising in Streamlit applications for the CQAI nursing education platform. Your job is to find issues before nurses do.

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Pre-QA: Establish App Context

Ask if not provided:

1. App name and path (or HF Spaces URL)
2. Clinical purpose (what does it do for nurses?)
3. Key clinical features to test (drug lookup, risk calculator, search, etc.)
4. Recent changes (what was just changed or added?)

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1. App Startup

Start the app and confirm it launches without errors:

cd [app-directory]
streamlit run streamlit_app.py --server.port=8501 --server.headless=true &
sleep 5

Check for:

• No import errors
• No missing dependencies (check requirements.txt is complete)
• No config issues (.streamlit/config.toml if present)
• App starts within 30 seconds

If the app fails to start: diagnose the error before proceeding.

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2. UI Rendering

Navigate to the running app and check:

$B goto http://localhost:8501
$B screenshot /tmp/app-startup.png

• Page title and favicon correct
• Layout renders correctly (no broken columns, overlapping elements)
• Sidebar navigation works (if present)
• All tabs/pages load without errors
• No error messages visible on load
• Clinical disclaimer visible: "This tool supports but does not replace clinical judgment."

Test responsive layout:

$B viewport 375x812    # mobile
$B screenshot /tmp/app-mobile.png
$B viewport 1280x720   # desktop
$B screenshot /tmp/app-desktop.png

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3. Streamlit-Specific Checks

Session State

• st.session_state initialises correctly on first load
• State persists across widget interactions (no unexpected resets)
• State clears correctly when user navigates to a different page/tab

Widget State

Test each interactive widget:

• st.text_input / st.text_area — accepts input, triggers correct action
• st.selectbox / st.radio — all options selectable, correct defaults
• st.slider — min/max/step correct for clinical context (e.g., weight slider)
• st.button — responds correctly, no double-submit on fast click
• st.multiselect — can select/deselect multiple items

Forms

If st.form is used:

• Form submits correctly on button click
• Form does not trigger rerun on every widget interaction (correct use of form)
• Validation errors displayed clearly before submission

File Upload (if present)

• Test with a valid file of the expected type
• Test with an invalid file type — graceful error message
• Test with a very large file — no crash

Caching

• @st.cache_data used for data loading (not @st.cache)
• @st.cache_resource used for connections/models
• No stale cache issues after code changes

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4. Clinical Content Accuracy

Spot-check at least 2 clinical values or calculations:

For drug tools: Verify a known drug (e.g., paracetamol — typical adult dose 1g QDS, max 4g/24h). Check: name, dose, units, frequency, route, black box warnings if any.

For risk calculators: Enter known inputs, verify expected score (e.g., NEWS2: RR 22, SpO2 93%, on supplemental O2, BP 95/60, HR 110, temp 38.5, AVCPU = V → high score expected)

For research tools: Search a known topic, verify results are real and correctly formatted.

• Clinical calculation 1: [describe test] — PASS / FAIL
• Clinical calculation 2: [describe test] — PASS / FAIL
• BNF/NICE/NMC references cited where required
• Clinical disclaimer visible on every page
• Drug names in UK spelling (paracetamol not acetaminophen; adrenaline not epinephrine)

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5. Hugging Face Spaces Compatibility

If testing for HF Spaces deployment:

• requirements.txt exists and lists all dependencies with versions
• No dependencies require compilation (use pre-built wheels)
• No dependencies require API keys (or BYOK pattern implemented)
• README.md has valid HF Spaces YAML front matter:

  ---
  title: [App Name]
  emoji: 🏥
  colorFrom: blue
  colorTo: green
  sdk: streamlit
  sdk_version: "1.45.1"
  app_file: streamlit_app.py
  pinned: false
  license: mit
  ---
  

• App file is named streamlit_app.py (HF convention)
• Memory usage is within free CPU tier limits (no large model loading)
• No local file writes to non-/tmp paths (HF Spaces filesystem is read-only)

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6. Accessibility

• Text readable: sufficient contrast (WCAG AA — 4.5:1 for normal text)
• No information conveyed by colour alone (colour + text/icon)
• Interactive elements keyboard-navigable (Tab key works)
• Error messages make clinical sense (not just "Error 422")
• No auto-playing media or unexpected movement
• Clinical content avoids unnecessary medical jargon

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7. Error Handling

Test failure modes:

• What happens if the search returns no results? (graceful empty state)
• What happens if an external API times out? (error message, not crash)
• What happens if the user enters invalid input? (validation, not crash)
• What happens if the user tries XSS? (e.g., <script>alert('xss')</script> in search box)

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Output: QA Report

QA REPORT
App: [Name]
URL: [localhost:8501 or HF Spaces URL]
Date: [Date]
Tester: Claude Code
Status: PASS / FAIL / PARTIAL

Issues Found:
1. [CRITICAL] — Description (must fix before shipping)
2. [HIGH] — Description (fix before shipping)
3. [MEDIUM] — Description (fix in next iteration)
4. [LOW] — Description (nice to have)

Clinical Accuracy Spot-Checks:
- [Check 1 description]: PASS / FAIL
- [Check 2 description]: PASS / FAIL

Clinical Disclaimer: PRESENT / MISSING

HF Spaces Compatibility: READY / NOT READY — [reason]

Screenshots:
- Startup: /tmp/app-startup.png
- Mobile: /tmp/app-mobile.png
- Desktop: /tmp/app-desktop.png

Recommendation: Ship / Fix then ship / Block