Skip to main content

ipld-dag-pb

An implementation of the DAG-PB spec for Python.

Install

pip install ipld-dag-pb

Usage

from ipld_dag_pb import PBNode, encode, decode, code
from multiformats import multihash, CID

node = PBNode("Some data as a string".encode("utf-8"))
encoded_bytes = encode(node)

# Alternatively:
# from ipld_dag_pb import prepare
# encoded_bytes = encode(prepare("Some data as a string"))

digest = multihash.digest(encoded_bytes, "sha2-256")
cid = CID("base32", 1, code, digest)

print(str(cid) + " => " + encoded_bytes.hex())
# bafybeibweq2akodv3uezac2g225qvjynh7lv3xv4wp5c4uxfppogtwt3fe => 0a15536f6d652064617461206173206120737472696e67

decoded_bytes = decode(encoded_bytes)
print(decoded_bytes)
print("decoded 'Data': " + bytes(decoded_bytes.data).decode("utf-8"))
# decoded 'Data': Some data as a string

prepare()

The DAG-PB encoding is very strict about the Data Model forms that are passed in. The objects must exactly resemble what they would if they were to undergo a round-trip of encode & decode. Therefore, extraneous or mistyped properties are not acceptable and will be rejected. See the DAG-PB spec for full details of the acceptable schema and additional constraints.

Due to this strictness, a prepare() function is made available which simplifies construction and allows for more flexible input forms. Prior to encoding objects, call prepare() to receive a new object that strictly conforms to the schema.

from ipld_dag_pb import prepare
from multiformats import CID

print(vars(prepare("Some data as a string")))
# -> {'data': b'Some data as a string', 'links': []}
print(vars(prepare({"links": [CID.decode("bafkqabiaaebagba")]})))
# -> {'data': None, 'links': [<ipld_dag_pb.node.PBLink object at 0x102c1b0e0>]}

Contributing

All welcome! storacha.network is open-source.

License

Dual-licensed under Apache-2.0 OR MIT

Metadata

Release files for ipld-dag-pb 0.0.1

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

Source distribution (sdist)

Source distribution for ipld-dag-pb 0.0.1
File Size Uploaded
ipld_dag_pb-0.0.1.tar.gz 21.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for ipld-dag-pb 0.0.1
File Interpreter ABI Platform
ipld_dag_pb-0.0.1-py3-none-any.whl Python 3 none any Details

Total release size: 34.1 kB

Release files / ipld_dag_pb-0.0.1.tar.gz

Download URL ipld_dag_pb-0.0.1.tar.gz
Size 21.2 kB
Tags Source
SHA-256 checksum
How to use checksums
e205f613d6a0f4b276bfc2d40f0c07db173a0fd2f938862f867ce05f2eddd417
BLAKE2b-256 checksum
How to use checksums
73426a6cbb0cab9bd644d561b7f1023b20d8b84cabee739b35f2c473a53e5606
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.2

Release files / ipld_dag_pb-0.0.1-py3-none-any.whl

Download URL ipld_dag_pb-0.0.1-py3-none-any.whl
Size 12.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
fc5fee4bff126571446a4ae5ac8342c05221759f995e7d4ded22ad9df33c8c89
BLAKE2b-256 checksum
How to use checksums
c89c7a042e1b5e54ea807300fd96123767e7251bcd2bd59312ba2e33376bad5f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.2

Release history Release notifications | RSS feed

This release

0.0.1 This release

2 release files

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