warp-commerce-types #

Formal commerce types for Python — the twin of @warp-lang/commerce-types.

Typed money, validated state transitions, and the six commerce invariants of the Warp Commerce Model — as Pydantic v2 models. Both this package and the TypeScript package are generated from / read the same canonical schema (../../schema), so the two languages agree by construction:

• the data shapes come from schema/structure/*.schema.json;
• the legal state-machine edges come from schema/behavior/transitions.json;
• the invariant definitions come from schema/behavior/invariants.json.

pip install warp-commerce-types

Available on PyPI as of v1.0.0. If you’re building from a pre-release checkout (before v1.0.0 is live on PyPI), the line above won’t resolve yet — install from source instead:

# from a checkout of the warp-lang repo:
pip install ./packages/commerce-types-py
# …or editable, with dev deps, for working on the package:
pip install -e "./packages/commerce-types-py[dev]"

What you get #

from warp_commerce_types import (
    Money, new_commitment, transition_commitment, audit_commerce, allocate,
)

# Currency-safe money. You cannot add MAD to EUR — and minor units are correct
# per currency (TND is 3-decimal: 1.5 TND == 1500 millimes, not 150).
from warp_commerce_types import add, convert
add(Money(amount=100, currency="MAD"), Money(amount=50, currency="MAD"))
# add(Money(amount=1, currency="MAD"), Money(amount=1, currency="EUR"))  -> CurrencyMismatchError

# Exact splits that always reconcile (largest-remainder, minor-unit aware):
allocate(Money(amount=100, currency="MAD"), [1, 1, 1])
# -> 33.34 + 33.33 + 33.33 == 100.00 exactly

# State machines validate every move against the canonical transition table.
c = new_commitment("buyer", "seller")
r = transition_commitment(c, {"type": "Proposed"}, actor="buyer")
assert r.ok and r.value.state.type == "Proposed"
bad = transition_commitment(c, {"type": "Fulfilled"}, actor="buyer")
assert not bad.ok and "Invariant 2" in bad.error   # Draft -> Fulfilled is illegal

# The six invariants, as runtime checkers that return actionable violations.
violations = audit_commerce(commitments=[c], fulfillments=[], parties=[])

The model #

Five primitives — Party, Value, Intent, Commitment, Fulfillment — plus the v0.3 commerce vocabulary (terms, auctions, resolution, metering, evidence, …), all generated as Pydantic models with discriminated unions keyed on "type" / "kind".

The six invariants #

1. Value Conservation — value is transferred, not created; no mixed currencies without explicit conversion. (Fourth clause: loyalty-point liability — check_loyalty_liability.)
2. State Monotonicity — only legal transitions; terminal states never reverse.
3. Capacity Verification — a buyer must be verified (can_buy) before Accepted.
4. Temporal Integrity — commitments form before fulfillments execute; append-only history; timestamps never move backward.
5. Identity Permanence — identifiers are globally unique, never reused.
6. Commitment Tree Consistency — a parent’s value equals the sum of its children, within minor-unit tolerance (build exact children with allocate).

MoneyBreakdown #

A total decomposed into labelled components. Construction enforces the money_breakdown_sum rule from schema/behavior/invariants.json: components sum to the total (minor-unit tolerance), all share one currency, and discount components are negative.

from warp_commerce_types import MoneyBreakdown
MoneyBreakdown.model_validate({
    "components": [
        {"kind": "subtotal", "amount": {"amount": 90, "currency": "MAD"}},
        {"kind": "discount", "amount": {"amount": -10, "currency": "MAD"}},
        {"kind": "tax",      "amount": {"amount": 20, "currency": "MAD"}},
    ],
    "total": {"amount": 100, "currency": "MAD"},
})  # ok — components sum to 100

Regenerating from the schema #

The models and the bundled behavior data are generated. Edit the schema, never the generated _models.py:

python scripts/generate_from_schema.py   # reads ../../schema, writes src/.../_models.py

Development #

pip install -e ".[dev]"
pytest        # mirrors the TS bug-fix, transition, and invariant suites
mypy          # configured in pyproject.toml
python -m build

MIT licensed. Part of the Warp project.