Skip to main content

Pydantic Types for Ethereum

Project description

eth-pydantic-types

The types in this package are pydantic types for Ethereum inspired from eth-typing.

HexStr

When your model involves a string serializes to a hex-str, HexStr is the type to use. Examples of HexStr might be a hash.

Use HexStr in your models:

from pydantic import BaseModel
from eth_pydantic_types import HexStr, HexStr32

class TransactionData(BaseModel):
    hash_any_size: HexStr
    sized_hash: HexStr32

data = TransactionData(hash_any_size="0x123", sized_hash="0x000123")
assert isinstance(data.nonce, str)
assert isinstance(data.gas, str)

HexBytes

When your model involves bytes that serialize to a hex-str, HexBytes is the type to use. Examples of HexBytes might be a hash.

Use HexBytes in your models:

from pydantic import BaseModel
from eth_pydantic_types import HexBytes, HexBytes32

class TransactionData(BaseModel):
    hash_any_size: HexBytes
    sized_hash: HexBytes32

data = TransactionData(hash_any_size="0x123", sized_hash="0x000123")
assert isinstance(data.nonce, str)
assert isinstance(data.gas, str)

HexInt

When your model involves an integer that serializes to a hex-str, HexInt is the type to use. Examples of HexInt are transaction-type, nonce, and gas values.

Use HexInt in your models:

from pydantic import BaseModel
from eth_pydantic_types import HexInt

class TransactionData(BaseModel):
    nonce: HexInt
    gas: HexInt

data = TransactionData(nonce="0x123", gas="0x000123")
assert isinstance(data.nonce, int)
assert isinstance(data.gas, int)

Address

Use the Address class for working with checksummed-addresses. Addresses get validated and checksummed in model construction. Addresses serialize to str in the Pydantic core schema and string in the JSON schema with a binary format.

from pydantic import BaseModel
from eth_pydantic_types import Address

class Account(BaseModel):
    address: Address

# NOTE: The address ends up checksummed
#   ("0x0837207e343277CBd6c114a45EC0e9Ec56a1AD84")
account = Account(address="0x837207e343277cbd6c114a45ec0e9ec56a1ad84")

HexStr

Use hex str when you only care about un-sized hex strings. The HexStr type serializes to str in the Pydantic core schema and a string in the JSON schema with a binary format.

from eth_pydantic_types import HexStr
from pydantic import BaseModel

class Tx(BaseModel):
    data: HexStr

tx = Tx(data="0x0123")

Bip122Uri

Use BIP-122 URIs in your models by annotating with the Bip122Uri type. This type serializes to a str in the Pydantic core schema as well as a string in the JSON schema, however the individual hashes are validated.

from eth_pydantic_types import Bip122Uri
from pydantic import BaseModel

class Message(BaseModel):
    path: Bip122Uri

message = Message(
    path=(
        "blockchain://d4e56740f876aef8c010b86a40d5f56745a118d0906a34e69aec8c0db1cb8fa3"
        "/block/752820c0ad7abc1200f9ad42c4adc6fbb4bd44b5bed4667990e64565102c1ba6"
    )
)

Padding

For types like HexStr or HexBytes, you can control the padding by using @field_validator().

from pydantic import BaseModel, field_validator
from eth_pydantic_types import HexStr20, HexBytes20
from eth_pydantic_types.utils import Pad

class MyModel(BaseModel):
    my_str: HexStr20
    my_bytes: HexBytes20

    @field_validator("my_str", "my_bytes", mode="before")
    @classmethod
    def validate_value(cls, value, info):
        field_type = cls.model_fields[info.field_name].annotation
        return field_type.__eth_pydantic_validate__(value, pad=Pad.RIGHT)

Else, by default, if you validate integer values, it will pad left. Other inputs pad right. This mirrors Solidity types, like bytes32, that automatically pad-right when given smaller values. Integer and address types automatically pad-left.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

eth_pydantic_types-0.2.5.tar.gz (69.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

eth_pydantic_types-0.2.5-py3-none-any.whl (19.0 kB view details)

Uploaded Python 3

File details

Details for the file eth_pydantic_types-0.2.5.tar.gz.

File metadata

  • Download URL: eth_pydantic_types-0.2.5.tar.gz
  • Upload date:
  • Size: 69.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for eth_pydantic_types-0.2.5.tar.gz
Algorithm Hash digest
SHA256 87ca85d986155accccb105a6eccd1efee250582452fe00c45336d1ccd679ee61
MD5 634211d55ebb6818bf83999b7b609794
BLAKE2b-256 4af01424733e6af3111bd1db693ea8793dfb942309bb4a0c02268078ae3bafe7

See more details on using hashes here.

Provenance

The following attestation bundles were made for eth_pydantic_types-0.2.5.tar.gz:

Publisher: publish.yaml on ApeWorX/eth-pydantic-types

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file eth_pydantic_types-0.2.5-py3-none-any.whl.

File metadata

File hashes

Hashes for eth_pydantic_types-0.2.5-py3-none-any.whl
Algorithm Hash digest
SHA256 475e2a299505327063d65cf7082331f9758abc4775cbd87a49d3c1a79cf0313e
MD5 9d9b7737b4d9cff5f913d7ff9e9aab6e
BLAKE2b-256 662061154aac3b895aefca64f5c8be5e86ea3540556fde4157b4bee41494c472

See more details on using hashes here.

Provenance

The following attestation bundles were made for eth_pydantic_types-0.2.5-py3-none-any.whl:

Publisher: publish.yaml on ApeWorX/eth-pydantic-types

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page