typra 0.5.0

Python bindings for Typra, a typed embedded database.

typra (Python)

Official CPython bindings for Typra (PyO3 native extension): a typed, embedded database with a Rust core.

Status (v0.5.x)

You get a durable schema catalog and record insert/get (v1 encoding) in a single .typra file, plus in-memory databases and snapshot bytes. SQL / rich queries are still planned—see the roadmap.

Resource	Link
Repository	github.com/eddiethedean/typra
Rust crates	typra on crates.io
Full Python guide	docs/guide_python.md
Getting started	docs/guide_getting_started.md
Migrating 0.4 → 0.5	docs/migration_0.4_to_0.5.md
Changelog	CHANGELOG.md

Requirements

• CPython 3.9+
• Wheels use the stable ABI (cp39-abi3): one wheel per platform, compatible with Python 3.9+ on that platform.

Install

pip install "typra>=0.5.0,<0.6"

Pin the minor range you test against; pre-1.0 releases may still change APIs or the on-disk format between minors.

Quick start

import typra

db = typra.Database.open_in_memory()
cid, ver = db.register_collection(
    "books",
    '[{"path": ["title"], "type": "string"}]',
    "title",
)
print("registered", cid, ver)
db.insert("books", {"title": "Typra"})
print(db.get("books", "Typra"))
print(typra.__version__)

Output (the version line matches the installed wheel):

registered 1 1
{'title': 'Typra'}
0.5.0

On disk, use Database.open("app.typra") instead; registrations are persisted across process restarts for that path.

API overview

Member	Description
typra.__version__	Package version (matches the Rust workspace release).
Database.open(path: str)	Create or open a database file. Raises OSError if the path cannot be opened (e.g. missing parent directory, path is a directory).
db.path() -> str	Path used to open the database.
db.register_collection(name, fields_json, primary_field) -> tuple[int, int]	Register a new collection (schema version 1). primary_field is the top-level field name for the PK. Returns (collection_id, schema_version). Names are trimmed; duplicates or bad fields_json raise ValueError.
db.insert(collection_name, row: dict) -> None	Insert or replace the latest row (all fields required).
db.get(collection_name, pk) -> dict | None	Latest row or missing.
Database.open_in_memory() / Database.open_snapshot_bytes(data) / db.snapshot_bytes()	In-memory DB and byte snapshots.
db.collection_names() -> list[str]	All registered names, sorted alphabetically.

For behavior details (errors, edge cases, development), see the Python user guide.

fields_json (v1)

register_collection expects fields_json to be a JSON array of objects. Each object describes one field:

• path: JSON array of strings (path segments), e.g. ["profile", "name"].
• type: either a primitive name or a composite object.

Primitives: "bool", "int64", "uint64", "float64", "string", "bytes", "uuid", "timestamp".

Composites:

• Optional: {"optional": <inner>}
• List: {"list": <inner>}
• Object: {"object": [ … same shape as top-level field objects … ]}
• Enum: {"enum": ["a", "b"]} (variants must be strings)

Example (nested)

db.register_collection(
    "items",
    '[{"path": ["x"], "type": {"optional": "int64"}}]',
    "x",
)

Example (multiple fields)

schema = """[
  {"path": ["title"], "type": "string"},
  {"path": ["year"], "type": "int64"},
  {"path": ["tags"], "type": {"list": "string"}}
]"""
db.register_collection("books", schema, "title")

Exceptions

• ValueError: invalid JSON, wrong shape, unknown type, invalid collection name, duplicate collection name, or format/schema errors from the engine when registering.
• OSError: I/O failures when opening the database file.
• RuntimeError: reserved for engine “not implemented” paths (unexpected for supported 0.5.x calls).

Building from source

You need Rust, Python 3.9+, and maturin. From the repo’s python/typra directory:

maturin develop --release
pytest -q

From the repository root, make check-full runs Rust + Python checks, tests, and make verify-doc-examples (validates documented command output). See also python/README.md (workspace layout for contributors).