Python reference implementation of the Universal Personalization Protocol (UPP) data models
Project description
UPP Python — Reference Implementation
Python reference implementation of the Universal Personalization Protocol (UPP) data models, backends, and client.
Installation
pip install upp-python
Development
pip install -e ".[dev]"
Quick Start
from upp import Event, StoredEvent, SourceType, EventStatus
from upp import LabelDefinition, OntologyUserV1, UPPClient
# Create an event (pre-storage)
event = Event(
value="I work as a senior software engineer at Anthropic",
labels=["what_occupation"],
confidence=0.95,
source_type=SourceType.USER_STATED,
)
# Use with a client (requires backend implementations)
import asyncio
async def demo():
client = UPPClient(
ingest=my_ingest_backend,
retriever=my_retriever_backend,
ontology=OntologyUserV1(),
)
stored = await client.ingest("user-123", [event])
print(f"Stored: {stored[0].value} (id={stored[0].id})")
# Retrieve events
events = await client.get_events("user-123")
print(f"Total events: {len(events)}")
asyncio.run(demo())
Package Structure
src/upp/
├── __init__.py # Top-level exports
├── client.py # UPPClient — high-level protocol client
├── models/
│ ├── __init__.py # Model re-exports
│ ├── client.py # UPPClientProtocol
│ ├── enums.py # EventStatus, SourceType, SensitivityTier, Cardinality, Durability
│ ├── events.py # Event, StoredEvent
│ └── labels.py # LabelDefinition
├── backends/
│ ├── __init__.py # Backend re-exports
│ ├── ingest.py # IngestBackend protocol
│ ├── retriever.py # RetrieverBackend protocol
│ └── ontology.py # OntologyBackend protocol
├── ontologies/
│ ├── __init__.py
│ └── user_v1.py # OntologyUserV1 — loads ontologies/user/v1.json
└── rpc/
├── __init__.py # RPC re-exports
├── methods.py # UPP_INGEST, UPP_RETRIEVE, etc.
├── errors.py # Error codes and UppError
├── messages.py # JSON-RPC types + operation request/response models
└── codec.py # JSON-RPC encode/decode
Protocol Operations
The UPP protocol defines 8 operations:
| Operation | Type | Description |
|---|---|---|
upp/ingest |
Core (write) | Extract and ingest events from text |
upp/retrieve |
Core (read) | Intelligent retrieval of relevant events |
upp/events |
Core (read) | List all stored events |
upp/delete |
Core (write) | Delete events (GDPR compliance) |
upp/info |
Discovery | Server metadata |
upp/labels |
Discovery | Label definitions from an ontology |
upp/export |
Portability | Export events for migration |
upp/import |
Portability | Import events from another server |
Requirements
- Python >= 3.11
- Pydantic >= 2.0.0
Testing
pytest tests/ -v
License
MIT — See LICENSE for details.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file upp_python-0.1.0.tar.gz.
File metadata
- Download URL: upp_python-0.1.0.tar.gz
- Upload date:
- Size: 62.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b12e65988686a89bae40250588e1b941bee4b0b97c069917904be5208bea1143
|
|
| MD5 |
ee4ef943e23acf535427c11716ef4f42
|
|
| BLAKE2b-256 |
7ed4baadef8c186dc6f950eb5de2cc235c2ee3a5f4773933a5537c1e37a992fb
|
Provenance
The following attestation bundles were made for upp_python-0.1.0.tar.gz:
Publisher:
publish-python.yml on Contextually-AI/upp
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
upp_python-0.1.0.tar.gz -
Subject digest:
b12e65988686a89bae40250588e1b941bee4b0b97c069917904be5208bea1143 - Sigstore transparency entry: 1109804924
- Sigstore integration time:
-
Permalink:
Contextually-AI/upp@72d366ca89c8b0d5a1b9da67215918690513b5eb -
Branch / Tag:
refs/tags/v0.1.0 - Owner: https://github.com/Contextually-AI
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish-python.yml@72d366ca89c8b0d5a1b9da67215918690513b5eb -
Trigger Event:
release
-
Statement type:
File details
Details for the file upp_python-0.1.0-py3-none-any.whl.
File metadata
- Download URL: upp_python-0.1.0-py3-none-any.whl
- Upload date:
- Size: 23.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fb1af6e4e62f010ec8b5218d15cee88b0034e61ec8263f61f5aee94faca4de3e
|
|
| MD5 |
e2fc04008e06d53212bb61d19b3a1c9b
|
|
| BLAKE2b-256 |
5d2161db963b42da9be3d2a06475adf58cce3dfc91f7bac89e5141b5857119e3
|
Provenance
The following attestation bundles were made for upp_python-0.1.0-py3-none-any.whl:
Publisher:
publish-python.yml on Contextually-AI/upp
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
upp_python-0.1.0-py3-none-any.whl -
Subject digest:
fb1af6e4e62f010ec8b5218d15cee88b0034e61ec8263f61f5aee94faca4de3e - Sigstore transparency entry: 1109804926
- Sigstore integration time:
-
Permalink:
Contextually-AI/upp@72d366ca89c8b0d5a1b9da67215918690513b5eb -
Branch / Tag:
refs/tags/v0.1.0 - Owner: https://github.com/Contextually-AI
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish-python.yml@72d366ca89c8b0d5a1b9da67215918690513b5eb -
Trigger Event:
release
-
Statement type: