Wires the second source-adapter (Gumroad) plus the email delivery
that lets the server fulfill a sale end-to-end without operator
intervention.
Auth model: Gumroad doesn't HMAC the body, so we use their
recommended URL-secret pattern (?secret=...). Wrong/missing secret
returns 404 — no signal to a prober that the endpoint exists.
Webhook flow (server/app/routes/webhooks.py):
1. audit-log the raw payload (gumroad_events row) BEFORE anything
else, so a later failure leaves us replayable
2. parse via GumroadAdapter (server/app/adapters/gumroad.py)
3. mint_from_sale — UNIQUE(source, source_order_id) dedups
duplicate webhook retries
4. send the license email
5. mark gumroad_events.processed = true
Always returns 200 once auth passes. Non-2xx would trigger Gumroad's
3-day retry storm; we'd rather record the failure on the audit row
and replay manually after fixing whatever surfaced.
Product → tier mapping is per-source YAML at
server/config/products.yaml (lru_cached). Adding a SKU = edit yaml,
restart api. Unmapped product_id is an error on the audit row, not
a crash.
EmailService (server/app/email.py): provider-agnostic interface with
Postmark as the first implementation. When POSTMARK_TOKEN is unset
the factory returns LoggingEmailService instead, so the webhook
exercises end-to-end before Postmark is provisioned.
48 unit tests (was 21) including:
- Gumroad secret verify with constant-time compare
- Sale parsing: amount-in-cents, name fallback from email,
test=true tagging, missing-required fields, offer codes
- Product mapping lookups
- Email rendering text + HTML, HTML-escapes user input
- Postmark client via httpx.MockTransport (success and 4xx)
- Webhook end-to-end: secret check, audit log, idempotency on
retry, unmapped product, email failure keeps license
Smoke test (server/scripts/smoke.sh) extended to POST a synthetic
Ping payload, verify the row + audit log, prove wrong-secret is
rejected, prove duplicate sale_id stays one row.
SQLite-test compatibility:
- BigInteger primary key uses with_variant(Integer, "sqlite") since
SQLite only autoincrements INTEGER PRIMARY KEY.
- python-multipart pulled in for FastAPI Form parsing.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
72 lines
2.3 KiB
Python
72 lines
2.3 KiB
Python
"""Storefront product → license tier mapping.
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The mapping lives in ``server/config/products.yaml`` (gitignored
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for secrets it isn't — it's a routine catalog file) so adding a
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new SKU is one yaml edit plus a container restart. The lookup is
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``(source, product_id) -> (tier, years)``.
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Cached at module import. The runtime cost of reloading on every
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webhook would be trivial, but caching keeps the hot path
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allocation-free and makes the "edit yaml, restart api" idiom
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explicit — operators always know exactly when their changes go
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live.
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"""
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from __future__ import annotations
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from dataclasses import dataclass
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from functools import lru_cache
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from pathlib import Path
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from typing import Optional
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import yaml
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@dataclass(frozen=True)
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class ProductMapping:
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tier: str
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years: int
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def _config_path() -> Path:
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"""Resolve the products config.
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Container layout puts the config at ``/app/config/products.yaml``
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(the Dockerfile COPYs ``server/config`` to ``/app/config``).
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For local pytest runs we walk up from this file to ``server/``.
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"""
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in_container = Path("/app/config/products.yaml")
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if in_container.exists():
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return in_container
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return Path(__file__).resolve().parent.parent / "config" / "products.yaml"
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@lru_cache(maxsize=1)
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def _table() -> dict[tuple[str, str], ProductMapping]:
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raw = yaml.safe_load(_config_path().read_text(encoding="utf-8")) or {}
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table: dict[tuple[str, str], ProductMapping] = {}
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for source, entries in raw.items():
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for entry in entries or []:
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key = (source, str(entry["product_id"]))
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table[key] = ProductMapping(
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tier=entry["tier"],
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years=int(entry.get("years", 1)),
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)
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return table
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def lookup(source: str, product_id: str) -> Optional[ProductMapping]:
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"""Return the mapping for *(source, product_id)*, or None if unmapped.
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Returning None (rather than raising) lets the webhook layer
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decide whether to surface the failure as an audit row vs a
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user-visible error — we want unmapped sales to be logged, not
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to crash the handler and trigger Gumroad retry storms.
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"""
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return _table().get((source, product_id))
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def reload_for_tests() -> None:
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"""Drop the cache. Tests that mutate the yaml call this."""
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_table.cache_clear()
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