templane-python 0.1.0

Schema-validated Jinja2 templates — typed contracts that catch bad data before render.

templane-python

Python implementation of Templane — typed template contracts for Jinja2.

Templane adds compile-time schema validation to your templates. Define what data your template expects in a small .schema.yaml file next to your .jinja, and Templane catches missing fields, typos, and wrong types before Jinja renders, not at 2am in production.

• Conformance: 40/40 fixtures across the Templane protocol · 75 unit tests
• Engine binding: Jinja2 (jinja_templane)
• Also ships: breaking-change detector, schema hash
• Runtime: Python 3.12+
• License: Apache 2.0

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Install

pip install templane-python
# or with uv:
uv add templane-python

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Quick start

Create email.jinja (plain Jinja2 — not modified by Templane):

Hi {{ user.name }}! Your order #{{ order_id }} total is ${{ amount }}.

Create email.schema.yaml next to it (declares the data contract):

body: ./email.jinja
engine: jinja

user:
  type: object
  required: true
  fields:
    name: { type: string, required: true }
order_id:
  type: string
  required: true
amount:
  type: number
  required: true

Use from Python:

from jinja_templane import TemplaneEnvironment, TemplaneTemplateError

env = TemplaneEnvironment("templates")
tmpl = env.get_template("email.schema.yaml")

try:
    output = tmpl.render(
        user={"name": "Alice"},
        order_id="INV-042",
        amount=99.00,
    )
    print(output)
    # → "Hi Alice! Your order #INV-042 total is $99.0."
except TemplaneTemplateError as exc:
    for err in exc.errors:
        print(f"[{err.code}] {err.field}: {err.message}")

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Validation errors — caught before rendering

# Missing field + wrong type both trip at once
try:
    tmpl.render(
        # user missing entirely
        order_id=42,      # wrong type
        amount="free",    # wrong type
    )
except TemplaneTemplateError as exc:
    for err in exc.errors:
        print(f"[{err.code}] {err.field}")

# [missing_required_field] user
# [type_mismatch] order_id
# [type_mismatch] amount

All errors are collected — never short-circuits at the first.

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Breaking-change detection

Detect schema evolution issues before they break downstream data:

from templane_core.schema_parser import parse as parse_schema
from templane_core.models import typed_schema_from_dict
from templane_core.breaking_change import detect

def load(yaml_str: str, name: str):
    result = parse_schema(yaml_str, name)
    return typed_schema_from_dict(result["schema"])

old = load(open("schema-v1.yaml").read(), "v1")
new = load(open("schema-v2.yaml").read(), "v2")

changes = detect(old, new)
for c in changes:
    print(f"[{c.category}] {c.field_path}: {c.old} → {c.new}")

# Four categories:
#   removed_field        — schema had the field; now doesn't
#   required_change      — optional → required
#   type_change          — field type changed
#   enum_value_removed   — an enum value was removed

Safe changes (new optional field, added enum value, required → optional) are NOT reported.

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API

jinja_templane — the engine binding

from jinja_templane import (
    TemplaneEnvironment,
    TemplaneTemplate,
    TemplaneTemplateError,
)

# Like jinja2.Environment, but get_template returns a TemplaneTemplate
env = TemplaneEnvironment(search_path: str | Path)
env.get_template(name: str) -> TemplaneTemplate
    # Handles both .schema.yaml (with body: reference) and legacy inline-body .templane files

tmpl.render(**data) -> str  # raises TemplaneTemplateError on validation failure
tmpl.schema                  # the parsed TypedSchema

templane_core — the protocol primitives

from templane_core.schema_parser import parse, load_from_path
from templane_core.type_checker import check
from templane_core.ir_generator import generate
from templane_core.breaking_change import detect
from templane_core.hash import schema_hash

# parse(yaml_str, schema_id) → dict with {schema, body?, body_path?, engine?, error?}
# load_from_path(path) → same shape, with body resolved from disk when sidecar
# check(schema, data) → list[TypeCheckError]
# generate(ast, data, schema_id, template_id) → TIRResult
# detect(old_schema, new_schema) → list[BreakingChange]
# schema_hash(schema) → "sha256:..." stable across equivalent schemas

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Why Templane

Templates are untyped contracts. They accept a bag of values, look up names by string, and render something — even when the data has a typo, a missing field, or a wrong type. The failure is silent: the render succeeds, the customer gets a broken email, and you find out four days later.

Templane fixes this at the boundary. A schema next to your template declares what the template expects; the binding refuses to render when the data doesn't match. See the main README for the full pitch.

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Adoption pattern

You don't migrate templates. Your existing .jinja files stay as-is. You drop one .schema.yaml beside each one:

templates/
  welcome.jinja                 ← untouched
  welcome.schema.yaml           ← NEW
  invoice.jinja                 ← untouched
  invoice.schema.yaml           ← NEW

Your code switches from jinja2.Environment to jinja_templane.TemplaneEnvironment. That's the migration.

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Examples

Six worked examples under the repo's templane-python/examples/: hello, validation errors, nested objects and lists, Jinja features (filters, if/for), breaking-change detection, and a full password-reset email demo.

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Building from source

git clone https://github.com/ereshzealous/Templane.git
cd Templane/templane-python
uv sync --extra dev
.venv/bin/pytest   # 75 tests

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Links

• Repo: https://github.com/ereshzealous/Templane
• Full spec: SPEC.md
• Architecture & cross-language conformance: main README
• Issues: GitHub Issues
• PyPI: templane-python

License

Apache License 2.0