Building blocks for zanzibar style ReBAC
Project description
zanzipy ✨
Zanzibar‑style authorization for Python, with a tiny DSL to declare your schema and a simple client to write and check permissions. Friendly, lightweight, and practical.
Install 📦
Requires Python 3.14+.
pip install zanzipy
# Optional integrations used by the SQLAlchemy/Flask examples:
pip install "zanzipy[sqlalchemy]"
pip install "zanzipy[flask,sqlalchemy]"
Quick start 🚀
from zanzipy.dsl.builder import SchemaBuilder
from zanzipy.client import ZanzibarClient
from zanzipy.storage.repos import InMemoryRelationRepository, TenantId
# Define schema with the fluent DSL
registry = (
SchemaBuilder()
.namespace("user").done()
.namespace("document")
.relation("owner", subjects=["user"]) # direct
.permission("can_view", union=["owner"]) # computed
.done()
.build()
)
# Use the tenant-scoped, revisioned in-memory repo for a zero-dependency start.
client = ZanzibarClient(
schema=registry,
relations_repository=InMemoryRelationRepository(),
tenant=TenantId("default"),
)
write = client.write("document:readme", "owner", "user:alice")
assert client.check("document:readme", "can_view", "user:alice")
assert client.check_at_revision(
"document:readme",
"can_view",
"user:alice",
revision=write.token,
)
That’s it. All zanzipy relation storage is tenant-scoped and revisioned. RelationTuple stays tenant-free: a tuple is the logical authorization fact (object#relation@subject), while TenantId is part of read/write/evaluation context. The same logical tuple may exist independently in multiple tenants. Public convenience APIs use the client’s configured tenant and repository head revision by default; exact revision APIs accept tenant-scoped RevisionToken values and also allow a naked Revision interpreted within the client tenant. Add more relations/permissions with the DSL, and swap the repository when you’re ready to plug in durable storage.
Quick start with mixins 🧩
Zanzipy also provides convenient mixins for Pythonic integration with your domain models.
from dataclasses import dataclass
from zanzipy.client import ZanzibarClient
from zanzipy.dsl.builder import SchemaBuilder
from zanzipy.engine_integration import ZanzibarEngine, configure_authorization
from zanzipy.integration.mixins import AuthorizableResource, AuthorizableSubject
from zanzipy.storage.repos import InMemoryRelationRepository, TenantId
# Define a minimal schema (user + document)
registry = (
SchemaBuilder()
.namespace("user").done()
.namespace("document")
.relation("owner", subjects=["user"]) # direct relation
.permission("can_view", union=["owner"]) # computed permission
.done()
.build()
)
# Wire up the engine used by the mixins.
client = ZanzibarClient(
schema=registry,
relations_repository=InMemoryRelationRepository(),
tenant=TenantId("default"),
)
configure_authorization(ZanzibarEngine(client))
# Domain models using mixins
@dataclass
class User(AuthorizableSubject):
id: str
def get_subject_dict(self) -> dict:
return {"namespace": "user", "id": self.id}
@dataclass
class Document(AuthorizableResource):
id: str
def get_resource_dict(self) -> dict:
return {"namespace": "document", "id": self.id}
# Use high‑level helpers
alice = User(id="alice")
readme = Document(id="readme")
readme.grant(alice, "owner") # writes a tuple: document:readme#owner@user:alice
assert readme.check(alice, "can_view") # True via the computed permission
For a fuller mixins setup with groups, SQLAlchemy models, and caching, see examples/document_drive_sqlalchemy_and_mixins.py.
Examples
The repository examples cover the same document-drive authorization model at increasing integration levels:
examples/document_drive.py— zero-dependency in-memory repository and explicit schema objects.examples/document_drive_sqlalchemy.py— SQLAlchemy-backed relation storage with explicit schema objects (zanzipy[sqlalchemy]).examples/document_drive_sqlalchemy_and_dsl.py— the same SQLAlchemy setup usingNamespaceBuilder/SchemaBuilder.examples/document_drive_sqlalchemy_and_mixins.py— domain model helpers viaAuthorizableResource,AuthorizableSubject, andZanzibarEngine.examples/document_drive_flask_sqlalchemy.py— Flask extension, request-scoped engine binding, mixins, and SQLAlchemy (zanzipy[flask,sqlalchemy]).
From a checkout, run the non-server examples with uv run python <path>. The Flask example starts a local server and prints IDs for curl requests, including a list_objects route that exercises reverse LookupResources.
Key features 🧰
- ✨ DSL‑first schema authoring (
SchemaBuilder,NamespaceBuilder). - 🔗 Zanzibar semantics: relations, permissions, union/intersection/exclusion, tuple‑to‑userset.
- ✅ Correctness‑first evaluation: cycle detection and a shared
max_depthtraversal limit across check, expand, and lookup. - 🔎 Reverse lookup:
list_objectswalks subject-bucket edges, so nested usersets and caches work without candidate-object scans. - 🧩 Simple client API:
write,delete,check,list_objects,expand. - Tenant-scoped revisioned storage: writes return
WriteResultwith a tenant-scopedRevisionToken; snapshot reads prefer the token and reject mismatched tenant tokens. - Storage-agnostic: implement tenant-scoped
RelationRepository; start with in-memory. SQLite usesBEGIN IMMEDIATEto serialize revision allocation; SQLAlchemy retries transient tenant-revision insert/serialization conflicts and surfaces the database error if retries are exhausted. - ⚡ Optional tenant/revision-aware tuple cache and compiled rule cache for hot paths.
When should you use zanzipy? 🤔
- You want ReBAC embedded in your Python app without running another service.
- You prefer a human‑readable, declarative schema (via a tiny DSL).
- Your app has shared resources (e.g., docs, folders, teams) and needs roles, groups, or nested access patterns.
- You need cross‑resource edges (tuple‑to‑userset) and clear, testable authorization logic.
License
Apache‑2.0
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