Mareh A.

[mareh-aboghanem]

What I built

• Metabase dashboard: I uploaded the screenshot directly in the repository (see image.png).
• Streamlit app: week11-streamlit/app.py (KPIs, hour-of-day trend, freshness, payment-type filter).
• Presentation recording (private, hosted in the Azure student-submissions container): Watch my Week 11 Presentation Video

How to review

• Metabase: See the committed screenshot in the repository in README(image.png).
• Streamlit: Watch the presentation video link above (which shows the fully interactive app in action), or run the app locally with the steps below.
• Metric definitions: week11-streamlit/metric_definitions.md
• AI usage: AI_ASSIST.md

How to run the Streamlit app

From a clean clone, with your own Postgres access:

cd week11-streamlit
uv sync
cp .env.example .env      # set your own POSTGRES_URL (with ?sslmode=require) + DB_SCHEMA
uv run streamlit run app.py

[github-actions]

📝 HackYourFuture auto grade

Assignment Score: 95 / 100 ✅

Status: ✅ Passed
Minimum score to pass: 60
🧪 The auto grade is experimental and still being improved

Test Details

=== Week 11 Autograder ===
  ✓ PASS  found README.md
  ✓ PASS  found AI_ASSIST.md
  ✓ PASS  found week11-streamlit/app.py
  ✓ PASS  found week11-streamlit/pyproject.toml
  ✓ PASS  found week11-streamlit/uv.lock
  ✓ PASS  found week11-streamlit/metric_definitions.md
  ✓ PASS  Level 1: required files (20/20 pts)
  ✓ PASS  root .gitignore excludes .env
  ✓ PASS  week11-streamlit/.env not committed
  ✓ PASS  app.py: no hardcoded Postgres credentials found
  ✓ PASS  Level 2: secrets hygiene (15/15 pts)
  ✓ PASS  app.py: imports sqlalchemy
  ✓ PASS  app.py: reads credentials from the environment
  ✓ PASS  app.py: uses .metric() (st.metric or a st.columns() cell)
  ✓ PASS  app.py: queries fct_trips
  ✓ PASS  app.py: uses @st.cache_data
  ✓ PASS  Level 3: Streamlit app content (25/25 pts)
  ✓ PASS  metric_definitions.md: all five fields present
  ✓ PASS  metric_definitions.md: 6 panels documented (>=4 expected: 3 Metabase + 1 Streamlit)
  ✓ PASS  Level 4: metric definitions (20/20 pts)
  ✓ PASS  README.md: dashboard link present under 'My submission'
  ✓ PASS  Level 5: Metabase dashboard documented (10/10 pts)
  ⚠ WARN  AI_ASSIST.md: present but brief or has leftover TODOs (902 chars, 4 TODO line(s))
  ✓ PASS  Level 6: AI assistance log (5/10 pts)

Score: 95 / 100  (passing: 60)  pass=true