Skip to main content

pt-access — shared permission → ClickHouse access-control logic

One place for the permission pipeline every Point Topic data app needs. Ported from the production-proven point-topic-mcp implementation (issues #100/#104/#105) so the MCP server, the ontology web app (onto-app-new) and future consumers cannot drift.

Full design context: HANDOFF.md. Ontology app integration: docs/ONTOLOGY_APP_HOOKUP.md. Tracked by onto-app-new#25.

The pipeline

JWT claims ──► policy spec ──► SQL predicate ──► ClickHouse DDL
(what you   (normalised    (composer:      (provisioning:
 have)       dataset +      escaping,       role, grants,
             filter rows)   containment,    row policies,
                            OR-grouping)    settings profile)

Identity comes from the shared sub-site Auth0 tenant (point-topic.eu.auth0.com). The Post-Login Action stamps pt_org_id and products[] ([{name, permissions}], scalar values only). Geo filters are never in the token — list values would bloat tokens past proxy header limits (documented decision in the Action's own code) — they are read fresh from sub-site MongoDB (organisations.productPermissions.<ds> = {field: string[]}) on every login/session, then converted to ClickHouse row policies.

Modules

Module What Ported from
claims.py get_org_id, get_held_products, is_pt_admin, has_data_source_access, get_product_role MCP auth/middleware.py (pure parts)
jwt.py Auth0TokenVerifier — JWKS cache, RS256, issuer/audience/exp checks MCP auth/auth0_helpers.py (FastMCP wrapper stays in the MCP)
composer.py compose_sql_filter / compose_geo_predicate — sub-site permission values → per-dataset SQL disjunction MCP core/sql_filter_composer.py (verbatim, live-verified SQL shapes)
provisioning.py fetch_org_datasets (sub-site Mongo read) + resolve_org_config + provision_org_role / provision_org_on_login (ClickHouse DDL, serialisation lock) MCP core/org_provisioning.py (verbatim)
contract.py load_contract / validate_contract — fixture loader + code↔contract consistency check MCP core/ontology-permission-contract.json + test_permission_contract.py

Instance-specific config (CH host/port/creds, grant_to service user, measurement tables, PREWHERE profile) stays in the consuming app's environment — this package takes it as parameters, never hardcodes it. provision_org_role() already takes grant_to per call; the convenience wrapper uses GRANT_TO_USER (env MCP_CLICKHOUSE_GRANT_TO_USER, default mcp_service) — rename/re-purpose per instance when wiring a new consumer.

Usage

from pt_access.jwt import Auth0TokenVerifier
from pt_access.claims import get_org_id, get_held_products, is_pt_admin
from pt_access.provisioning import provision_org_on_login

# 1. Verify the bearer token (FastAPI dependency, etc.)
claims = await Auth0TokenVerifier(
    auth0_domain="point-topic.eu.auth0.com",
    audience="<your_client_id>",   # ID token audience = client_id
).verify_token(bearer)

# 2. Provision the org's ClickHouse role + row policy (on login / session start)
if not is_pt_admin(claims):
    summary = provision_org_on_login(get_org_id(claims), get_held_products(claims))
    # summary: {"role": "org_<id>", "granted_to", "using", "tables", "warnings"}

# 3. Per-query scoping on the app's READ client (never SET ROLE on a shared
#    connection — thread-local clients are shared across users):
#    client.query(sql, settings={"role": "org_<id>"})

provision_org_on_login is a no-op when CLICKHOUSE_PROVISIONING_USER/_PASSWORD are unset; without a provisioning credential orgs fail closed on the engine (role never granted). Requires SUB_SITE_MONGODB_URI (read-only sub-site Mongo user) for the fresh per-org read.

Behaviour contract (do not "fix" — each rule exists because of a live incident)

  • Fail closed: no held data-source products → deny (REVOKE role + row policy USING 0); unknown/empty filter fields → that dataset excluded, ALL excluded → deny; a held product with no stored values → bare (DATA_SOURCE='<ds>') (omit-empty contract = full access to that product's data).
  • Per-dataset disjunction: (DATA_SOURCE='upc' AND <geo>) OR (DATA_SOURCE='gbs') — never a bare DATA_SOURCE IN (...) AND <geo> blob.
  • OR-grouping: multiple predicates must be wrapped (A OR B) inside the DATA_SOURCE guard — SQL precedence otherwise leaks other datasets' rows at the postcode (found live on prod 2026-08-05).
  • PREWHERE: row policies on non-sorting-key columns return 0 rows under PREWHERE (ClickHouse GH #85222). Provisioning creates a settings profile (optimize_move_to_prewhere = 0) and attaches it to the service user — per-query SETTINGS is blocked under readonly=1 (error 164) and role-attached profiles don't apply. Trade-off: applies to every query through that user.
  • Convergence: full re-provision on every login (no drift check, ~320ms), serialised by a global lock (row-policy DROP+CREATE races → ACCESS_ENTITY_ALREADY_EXISTS, code 493). Deny orgs are always re-provisioned too (REVOKE converges).
  • Escaping: every literal is single-quote-doubled (King's Lynn); the row policy is the enforcement boundary, so a quote in an admin-entered value must never escape the literal.

The contract fixture — the single evolvable artifact

src/pt_access/ontology-permission-contract.json mirrors sub-site/apps/ui/src/organisations/config/ontology-permission-contract.json (sub-site UI renders exactly what this declares). Adding a new data source = a dataSources entry; a new filter field = a fields entry (+ fieldProducts / compatibility where applicable). Both are fixture changes, never composer code changes. The sub-site has a vitest drift test against the fixture; the package-side CI drift-guard workflow (fetch the sub-site copy via gh api and fail on mismatch) is planned but not yet created (HANDOFF item 3) — the package-side check today is tests/test_contract.py. fails on mismatch; tests/test_contract.py (via contract.validate_contract()) checks the code constants against the fixture.

Distribution & consumers

Published to PyPI as point-topic-access (current: 0.2.0, 2026-08-10) — pin it like any dependency. The GitHub repo + tags are the source home. (A private git-tag dependency was evaluated first and rejected: a repo's GITHUB_TOKEN cannot read other private repos, so the production box's uv sync couldn't clone it. Public PyPI matches how point-topic-mcp itself is already distributed.)

App Status Notes
point-topic-mcp ✅ live (deployed 2026-08-07, E2E-verified) dependency point-topic-access>=0.1.0; local modules deleted
onto-app-new next issue #30 (supersedes #25); needs v0.2.0 — provision_onto_app_role / provision_onto_public_role (§3.4 contract); docs/ONTOLOGY_APP_HOOKUP.md is the reference
upc_query_agent follow-up already reads pt_org_id/products[] in api/auth_handler.py — adopt claims.py
pt-dashboards ✅ live (dashboards hub) jwt-only consumer — Auth0TokenVerifier(auth0_domain=…, audience=[<client_id>, "http://ss-api"]) with explicit args; imports only pt_access.jwt, so it uses none of the package's env keys (the CLICKHOUSE_* / SUB_SITE_MONGODB_URI set) → no secret injection needed; API env is public config only, no .env on the box since 2026-09-05, deploys via GH Actions
local-pricing-dashboard, european-fttp-forecasts don't break read products[].permissions.role — the claim shape is pinned by tests

Secrets injection for consumers — no .env

pt_access reads its credentials from env vars only; it never touches AWS itself. Consumers must not persist those values in a .env file — inject them at process startup with tools/exec-env (installed once per box, e.g. /opt/bin/exec-env):

exec-env pt-access-credentials -- <app launch command>

This fetches the pt-access-credentials JSON secret from AWS Secrets Manager and exports its keys (CLICKHOUSE_*, CLICKHOUSE_PROVISIONING_*, SUB_SITE_MONGODB_URI, …) into the process env — never written to disk. Full design, the box's Roles Anywhere identity, and the staged per-consumer rollout: docs/secrets-injection-plan.md. Behaviour tests: bash tests/test_exec_env.sh.

Exception: jwt-only consumers (e.g. pt-dashboards — imports pt_access.jwt only) need no injection — they use none of the package's env keys (deep dive: Point-Topic/pt-dashboards#2).

Development

uv sync                        # or use any venv with the deps
uv run pytest -q               # 105 tests, no network/DB needed (all mocked)
uv run ruff check src tests

Distribution: uv build && uv publish (credentials via ~/.pypirc, fetched from AWS Secrets Manager pypirc).

Metadata

Release files for point-topic-access 0.2.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for point-topic-access 0.2.1
File Size Uploaded Provenance Actions
point_topic_access-0.2.1.tar.gz 83.4 kB Without provenance Details for point_topic_access-0.2.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for point-topic-access 0.2.1
File Interpreter ABI Platform Actions
point_topic_access-0.2.1-py3-none-any.whl Python 3 none any Details for point_topic_access-0.2.1-py3-none-any.whl

Total release size: 107.4 kB

Release files / point_topic_access-0.2.1.tar.gz

Download URL point_topic_access-0.2.1.tar.gz
Size 83.4 kB
Tags Source
SHA-256 checksum
How to use checksums
1cf2c2310dc3d502ec83c90a1f76973fc3fa9b573f90f4a180518ca38db7be97
BLAKE2b-256 checksum
How to use checksums
ccdfd45161d3d84e730e18e4d745580313dabdf7434283638de1e53e55253636
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.8.22

Release files / point_topic_access-0.2.1-py3-none-any.whl

Download URL point_topic_access-0.2.1-py3-none-any.whl
Size 24.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
fe80394d0a43bbce487acd9fc934edd722be5ff667eabf6efa4a38045603aec9
BLAKE2b-256 checksum
How to use checksums
31ca1f60ef988a82b2aeb39a9e96ee10ed950b2bd9b1371e9abb4ef77419b23d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.8.22

Security for point-topic-access 0.2.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page