Hannah N

[hannahwn]

What I built

• Metabase dashboard (Week 11 Submissions collection):
• 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):

How to review

• Metabase: open the dashboard link above, or see the committed screenshots / PDF export.
• Streamlit: see the committed screenshots, or run it yourself 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

Prerequisite: your own fct_trips mart populated in your dev_<name> schema (from Week 10).

Data dependency: these run steps need your own Week 10 mart. A reviewer who does not have that data cannot rebuild your numbers, so the committed screenshots / PDF export are the canonical evidence of a working submission.

What reviewers should see (expected results)

Fill in the numbers your dashboard and app actually show, so a reviewer can tell at a glance whether the result looks correct:

• Total trips (fct_trips row count): <e.g. ~57k>
• Busiest hour of day: <e.g. 18:00>
• Top payment type by share: <e.g. credit card, ~70%>
• Data freshness (latest trip date shown): <e.g. 2023-01-31>

Known limitations / out of scope

• <e.g. auto-refresh not implemented; dashboard covers January 2023 only; one Metabase filter still hardcoded>
• Write "none" if everything in the assignment is done and working.

Extra completed

• Metabase date filter on >=2 Questions
• Streamlit auto-refresh

Self-check

• bash .hyf/test.sh passes
• No credentials committed (no password in app.py, .env is gitignored)
• Screenshots of the Metabase dashboard and the running Streamlit app are committed

[github-actions]

📝 HackYourFuture auto grade

Assignment Score: 100 / 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 a Postgres driver (sqlalchemy or psycopg2)
  ✓ 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: 4 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)
  ✓ PASS  AI_ASSIST.md: filled (1088 chars, no leftover TODO lines)
  ✓ PASS  Level 6: AI assistance log (10/10 pts)

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