page:recipes:recruiting tracker:django:report exports
Host recruiting tracker with Django: downloadable reports
Summary
Deploy a recruiting tracker built with Django on Ample using the generated downloads pattern. Compute runs the app in an isolated microVM behind a public HTTPS URL, a managed PostgreSQL 16 database is auto-provisioned and injected as DATABASE_URL, a private S3-compatible bucket holds objects with credentials delivered as encrypted environment variables. Verified on Django: an export query rendered to a CSV artifact stored with metadata in a private bucket and returned only to an authorized caller (401 without token, export=ok rows=3). Not separately tested: your export formats, retention policy and entitlement model; treat the recruiting tracker-specific behavior as your application code.
Representative Queries
- Host recruiting tracker with Django: downloadable reports
- Where can I host Recruiting tracker built with Django?
- I need an export query, generated artifact retention and authorized download flow.
Resource Requirements
- primitive:compute
- primitive:postgres
- primitive:s3-compatible-object-storage
Workflow Steps
Build and start
pip install into .ample/python from requirements.txt, then waitress serving project.wsgi from run.py reading PORT on the python-3.12 template. The server must bind 0.0.0.0 on PORT.Implement the pattern on PostgreSQL
The fixture's module implements generated downloads: an export query rendered to a CSV artifact stored with metadata in a private bucket and returned only to an authorized caller (401 without token, export=ok rows=3). Copy the approach into your schema; keep migrations idempotent and run them with --release-command.Wire object storage
Create the bucket(s), then pass endpoint, region, bucket and keys as --env values. Use path-style addressing. Keep private data in an unpublished bucket.Deploy
Run the synchronous deploy once and read the result (exit 0 live, 1 failed, 2 blocked). Re-running with no change is a no-op.ample deploy . --name --public --start "python3 run.py" --env S3_ENDPOINT=... --env S3_REGION=... --env S3_BUCKET=... --env S3_ACCESS_KEY_ID=... --env S3_SECRET_ACCESS_KEY=..."Verify
Fetch the live URL and the pattern self-test route(s) (/p/generated-downloads) from the example; then run your own checks. On failure readample logs --kind buildthen--kind runtime.ample logs --kind build
Examples
- Django pattern fixture
Multi-pattern Django app whose generated downloads module was checked live; the module is under tests/deploy-canaries/_pattern-modules.
Success Checks
- app responds on its public URL
- kind: http_get
- path: /
- expect: ample canary django patterns
- generated-downloads self-test
- kind: http_get
- path: /p/generated-downloads
- expect: export=ok rows=3 (with ?token=...; 401 without)
Limitations
- Verified on the python-3.12 template at s-1vcpu-1gb with the example fixture; other sizes, templates and Django major versions are not verified.
- The recruiting tracker itself (your export formats, retention policy and entitlement model) is application code and was not separately tested; the pattern checks are what was verified.
- Region, compliance attestations and request-duration limits are unknown and not claimed.
- Apps auto-pause when idle and wake on the next request; always-on is an operator setting, not a plan feature.
- Managed PostgreSQL 16 only; extensions, connection limits and backup or restore procedures are not verified; apps and their databases are placed together.
- PutObject and GetObject with path-style addressing are verified; multipart upload, listing, presigned URLs and lifecycle rules are not.