Muna

[MunaNasher]

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[github-actions]

📝 HackYourFuture auto grade

Assignment Score: 50 / 100 ❌

Status: ❌ Not passed
Minimum score to pass: 60
🧪 The auto grade is experimental and still being improved

Test Details

=== Week 6 Autograder ===
  ✓ PASS  found Dockerfile
  ✓ PASS  found requirements.txt
  ✓ PASS  found src/pipeline.py
  ✓ PASS  found AI_ASSIST.md
  ✓ PASS  found README.md
  ✓ PASS  found docs/ directory
  ✓ PASS  Level 1: required files (10/10 pts)
  ✓ PASS  requirements.txt pins azure-storage-blob
  ✓ PASS  requirements.txt pins psycopg2-binary
  ✓ PASS  Level 2: pinned dependencies (10/10 pts)
  ✓ PASS  Dockerfile uses a python:3.11 base image
  ✓ PASS  Dockerfile copies requirements before src/ (layer cache stays warm)
  ✓ PASS  Dockerfile has a real CMD instruction
  ✓ PASS  Level 3: Dockerfile (10/10 pts)
  ✓ PASS  pipeline.py reads POSTGRES_URL and AZURE_STORAGE_CONNECTION_STRING from env
  ✗ FAIL  pipeline.py does not use 'from contextlib import closing' + 'with closing(...)' (Chapter 4 pattern)
  ✓ PASS  pipeline.py silences the azure SDK logger
  ✓ PASS  Level 4: pipeline shape (10/15 pts)
  ✗ FAIL  pipeline.py does not use ON CONFLICT ... DO UPDATE (idempotent upsert)
  ✓ PASS  pipeline.py uses %s placeholders in execute() (parameterised SQL)
  ✓ PASS  Level 5: idempotent upsert (5/15 pts)
  ✗ FAIL  no mention of sslmode=require in the repo — Azure Postgres rejects connections without it
  ✓ PASS  pipeline.py uses the azure-storage-blob SDK (BlobServiceClient)
  ✓ PASS  Level 6: connection + SDK (5/10 pts)
  ✗ FAIL  AI_ASSIST.md is missing one of the three required sections
  ✓ PASS  Level 7: AI report (0/10 pts)
  ✗ FAIL  README.md is missing the '## Verification' heading (Task 5)
  ✓ PASS  Level 8: README verification (0/10 pts)
  ✗ FAIL  docs/execution_history.png not found (Task 5 deliverable)
  ✓ PASS  Level 9: execution screenshot (0/10 pts)
  ✓ PASS  .gitignore correctly excludes __pycache__/, *.pyc, and .env

Score: 50 / 100  (passing: 60)  pass=false

[danlaudk]

i'm interested, also interesting for you to remember: which were the failures in the job that only failed when run as a container, but not failing locally?

[danlaudk]

the homework was to build on top of your week 5

This week you take the containerized pipeline from Week 5 and deploy it

working on the wrong data, and pushing the wrong dataset is not good. make sure to read the assignment