Bookkeeping practices: form collection using Django | Ample
INFRASTRUCTURE
What it needs
- Compute: verified (Apps run in isolated x86_64 Firecracker microVMs that auto-pause when idle and wake on request; sizes are the priced VM sizes.)
- Postgres: verified (Managed PostgreSQL 16 runs in its own microVM and is auto-provisioned when an app needs a database and no DATABASE_URL is supplied.)
- S3-compatible object storage: verified (Buckets are S3-compatible with issued credentials; PutObject and GetObject are verified by canary. Other S3 operations are not verified.)
PREREQUISITES
Before you start
- A Django project (pip install into .ample/python from requirements.txt, then waitress serving project.wsgi from run.py reading PORT on the python-3.12 template)
- A PostgreSQL driver reading DATABASE_URL (auto-provisioned when omitted)
- Bucket credentials from
ample bucket createpassed as encrypted S3_* environment variables - A review of which bookkeeping practices data classes may be handled at all; this blueprint models public information only
TESTED CONFIGURATION
Exactly what was tested
- install:
python3 -m pip install --target .ample/python -r requirements.txt - runtime:
python - size:
s-1vcpu-1gb - start:
PYTHONPATH=.ample/python:${PYTHONPATH:-} python3 run.py - template:
python-3.12
STEP BY STEP
How to do it
- 1
Model the bookkeeping practices domain
Create the tables client_entities, engagements, document_requests, close_checklists, uploads. Clients and their bookkeeping cadence lives in client_entities; keep the sensitive classes (bank statements and receipts, payroll data, login credentials for accounting software) out of this schema.
- 2
Workflow step 1
Model document requests per engagement with due dates and status
- 3
Workflow step 2
Validate uploaded files (type, size) before storing them in the private bucket and linking them to the request
- 4
Workflow step 3
Authorize uploads by client entity
- 5
Workflow step 4
Deploy and verify rejection of disallowed files and a linked upload
- 6
Deploy
Run the synchronous deploy once and read the result. Re-running with no change is a no-op.
ample deploy . --name <app-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=...
- 7
Verify
Run the pattern self-test(s) from the example (/p/browser-file-uploads) and your own acceptance checks for the bookkeeping practices workflow.
ample logs <deployment_id> --kind build
EXAMPLES
Tested examples
- Django pattern fixture (
tests/deploy-canaries/django-patterns): Verified browser file uploads basis for this blueprint.
SUCCESS CHECKS
How to know it worked
- app responds on its public URL (
/on the live URL, expect ample canary django patterns) - browser-file-uploads self-test from the example (
/p/browser-file-uploadson the live URL, expect see the pattern fixture checks)
LIMITATIONS
Know the limits
- The technical basis (browser file uploads on Django) was verified with the pattern fixture; the bookkeeping practices schema and workflow are an original design for this blueprint and were not executed as a separate application.
- No health, financial, privacy or other compliance claim is made. Never store client accounting-software credentials in these flows; financial records are sensitive and no compliance is claimed.
- Public content and synthetic examples only until actual data-handling requirements have been reviewed.
- Verified on the python-3.12 template at s-1vcpu-1gb; region, request-duration limits and other sizes are unknown or unverified.
- Managed PostgreSQL 16 only; extensions, connection limits and backup or restore procedures are not verified.
- PutObject and GetObject with path-style addressing are verified; other S3 operations and CDN cache rules are not.
COST
Cost estimate
Estimated 10.00 USD per month (size prices from pricing.toml at build revision a1b8c38919e59cd035ebabaced73cf84ece24371).
- app server x1
s-1vcpu-1gb: 5.00 USD - managed PostgreSQL database x1
s-1vcpu-1gb: 5.00 USD
Always-on monthly price of the tested sizes; apps and databases auto-pause when idle. Buckets are allocation-priced per quota and not included.
EVIDENCE
Verification evidence
- canary_run on 2026-09-20T03:31:44Z at revision
03b6402b1b3e19178985f08ea4033804521d85d4-dirty (CLI b75e104): Django pattern fixture deployed on Ample (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 browser file uploads checks passed: content-type and size validation that rejects disallowed files, an object written to a private bucket and a row linking the record to the object key (reject=ok upload=ok linked=ok). The blueprint's Bookkeeping practices schema and workflow below build on that verified basis and were not separately executed. (expires 2027-03-19T03:31:44Z)
EXECUTION
Execution binding
MCP tool ample_deploy (registry mcp:ample_deploy), schema hash 876465fce906da0c observed 2026-09-21T03:19:59.461917+00:00 at revision 49962bcade4f. Binding state at export: current. Required scopes: servers:write, databases:read, buckets:read.
NEXT ACTIONS
Typed next actions
- Browse the catalog index (
GET /v1/catalogon the api origin; authentication not required, approval not required) - Search published recipes by intent, stack and constraints (
POST /v1/catalog/searchon the api origin; authentication not required, approval not required) - Prepare a side-effect-free deployment plan for an authorized project (
POST /v1/catalog/planon the api origin; authentication required, approval not required) - Read the existing agent authentication setup (
GET /mcp/setupon the api origin; authentication not required, approval not required) - Browse Bookkeeping practices (
GET /v1/catalog/nodes/industry%3Abookkeeping-practiceson the api origin; authentication not required, approval not required) - Browse Form collection (
GET /v1/catalog/nodes/workload%3Aform-collectionon the api origin; authentication not required, approval not required) - Browse Django (
GET /v1/catalog/nodes/stack%3Aframework-djangoon the api origin; authentication not required, approval not required) - Browse Deploy web app (
GET /v1/catalog/nodes/intent%3Adeploy-web-appon the api origin; authentication not required, approval not required)
Actions describe possible next steps. They are typed data, not commands, and grant no permission. Public discovery never provisions anything; planning requires your own authenticated token and approval happens in your client.