| Name | bt-decode JSON |
| Version |
0.4.0
JSON |
| download |
| home_page | None |
| Summary | A wrapper around the scale-codec crate for fast scale-decoding of Bittensor data structures. |
| upload_time | 2024-12-05 19:27:40 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | None |
| keywords |
substrate
scale
codec
bittensor
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# bt-decode
A python wrapper around the rust scale-codec crate for fast scale-decoding of Bittensor data structures.
## Usage
### DelegateInfo
#### get_delegates
```python
import bittensor
from bt_decode import DelegateInfo
# Setup subtensor connection
subtensor = bittensor.subtensor()
# Grab result from RuntimeAPI
hex_bytes_result = sub.query_runtime_api(
runtime_api="DelegateInfoRuntimeApi",
method="get_delegates",
params=[ ]
)
# Decode scale-encoded Vec<DelegateInfo>
delegates_info: List[DelegateInfo] = DelegateInfo.decode_vec(
bytes.fromhex(
hex_bytes_result
))
```
#### get_delegated
```python
import bittensor
from bt_decode import DelegateInfo
validator_key = bittensor.Keypair(ss58_address="5E9fVY1jexCNVMjd2rdBsAxeamFGEMfzHcyTn2fHgdHeYc5p")
# Setup subtensor connection
subtensor = bittensor.subtensor()
# Grab result from RuntimeAPI
hex_bytes_result = sub.query_runtime_api(
runtime_api="DelegateInfoRuntimeApi",
method="get_delegated",
params=[list( validator_key.public_key )]
)
# Decode scale-encoded Vec<(DelegateInfo, take)>
delegated_info: List[Tuple[DelegateInfo, int]] = DelegateInfo.decode_delegated(
bytes.fromhex(
hex_bytes_result
))
```
### NeuronInfo
#### get_neuron
```python
import bittensor
from bt_decode import NeuronInfo
# Setup subtensor connection
subtensor = bittensor.subtensor()
NETUID = 1
UID = 0
# Grab result from RuntimeAPI
hex_bytes_result = sub.query_runtime_api(
runtime_api="NeuronInfoRuntimeApi",
method="get_neuron",
params=[NETUID, UID]
)
# Decode scale-encoded NeuronInfo
neuron: NeuronInfo = NeuronInfo.decode(
bytes.fromhex(
hex_bytes_result
))
```
#### get_neurons
```python
import bittensor
from bt_decode import NeuronInfo
# Setup subtensor connection
subtensor = bittensor.subtensor()
NETUID = 1
# Grab result from RuntimeAPI
hex_bytes_result = sub.query_runtime_api(
runtime_api="NeuronInfoRuntimeApi",
method="get_neurons",
params=[NETUID]
)
# Decode scale-encoded Vec<NeuronInfo>
neurons: List[NeuronInfo] = NeuronInfo.decode_vec(
bytes.fromhex(
hex_bytes_result
))
```
### NeuronInfoLite
#### get_neuron_lite
```python
import bittensor
from bt_decode import NeuronInfoLite
# Setup subtensor connection
subtensor = bittensor.subtensor()
NETUID = 1
UID = 0
# Grab result from RuntimeAPI
hex_bytes_result = sub.query_runtime_api(
runtime_api="NeuronInfoRuntimeApi",
method="get_neuron_lite",
params=[NETUID, UID]
)
# Decode scale-encoded NeuronInfoLite
neuron_lite: NeuronInfoLite = NeuronInfoLite.decode(
bytes.fromhex(
hex_bytes_result
))
```
#### get_neurons_lite
```python
import bittensor
from bt_decode import NeuronInfoLite
# Setup subtensor connection
subtensor = bittensor.subtensor()
NETUID = 1
# Grab result from RuntimeAPI
hex_bytes_result = sub.query_runtime_api(
runtime_api="NeuronInfoRuntimeApi",
method="get_neurons_lite",
params=[NETUID]
)
# Decode scale-encoded Vec<NeuronInfoLite>
neurons_lite: List[NeuronInfoLite] = NeuronInfoLite.decode_vec(
bytes.fromhex(
hex_bytes_result
))
```
### StakeInfo
#### get_stake_info_for_coldkey
```python
import bittensor
from bt_decode import StakeInfo
validator_key = bittensor.Keypair(ss58_address="5HBtpwxuGNL1gwzwomwR7sjwUt8WXYSuWcLYN6f9KpTZkP4k")
# Setup subtensor connection
subtensor = bittensor.subtensor()
encoded_coldkey = list( validator_key.public_key )
# Grab result from RuntimeAPI
hex_bytes_result = sub.query_runtime_api(
runtime_api="StakeInfoRuntimeApi",
method="get_stake_info_for_coldkey",
params=[encoded_coldkey]
)
# Decode scale-encoded StakeInfo
stake_info: List[StakeInfo] = StakeInfo.decode_vec(
bytes.fromhex(
hex_bytes_result
))
```
#### get_stake_info_for_coldkeys
```python
import bittensor
from bt_decode import StakeInfo
validator_key_0 = bittensor.Keypair(ss58_address="5GcCZ2BPXBjgG88tXJCEtkbdg2hNrPbL4EFfbiVRvBZdSQDC")
validator_key_1 = bittensor.Keypair(ss58_address="5HBtpwxuGNL1gwzwomwR7sjwUt8WXYSuWcLYN6f9KpTZkP4k")
encoded_coldkeys = [
list( validator_key_0.public_key ),
list( validator_key_1.public_key )
]
# Setup subtensor connection
subtensor = bittensor.subtensor()
# Grab result from RuntimeAPI
hex_bytes_result = sub.query_runtime_api(
runtime_api="StakeInfoRuntimeApi",
method="get_stake_info_for_coldkeys",
params=[encoded_coldkeys]
)
# Decode scale-encoded Vec<(AccountId, StakeInfo)>
stake_info: List[Tuple[bytes, List["StakeInfo"]]] = StakeInfo.decode_vec_tuple_vec(
bytes.fromhex(
hex_bytes_result
))
```
### SubnetInfo
#### get_subnet_info
```python
import bittensor
from bt_decode import SubnetInfo
# Setup subtensor connection
subtensor = bittensor.subtensor()
NETUID = 1
# Grab result from RuntimeAPI
hex_bytes_result = sub.query_runtime_api(
runtime_api="SubnetInfoRuntimeApi",
method="get_subnet_info",
params=[NETUID]
)
# Decode scale-encoded Option<SubnetInfo>
subnet_info: SubnetInfo = SubnetInfo.decode_option(
bytes.fromhex(
hex_bytes_result
))
```
#### get_subnets_info
```python
import bittensor
from bt_decode import SubnetInfo
# Setup subtensor connection
subtensor = bittensor.subtensor()
# Grab result from RuntimeAPI
hex_bytes_result = sub.query_runtime_api(
runtime_api="SubnetInfoRuntimeApi",
method="get_subnets_info",
params=[ ]
)
# Decode scale-encoded Vec<Option<SubnetInfo>>
subnets_info: List[Optional[SubnetInfo]] = SubnetInfo.decode_vec_option(
bytes.fromhex(
hex_bytes_result
))
```
### SubnetHyperparameters
#### get_subnet_hyperparams
```python
import bittensor
from bt_decode import SubnetHyperparameters
# Setup subtensor connection
subtensor = bittensor.subtensor()
NETUID = 1
# Grab result from RuntimeAPI
hex_bytes_result = sub.query_runtime_api(
runtime_api="SubnetInfoRuntimeApi",
method="get_subnet_hyperparams",
params=[NETUID]
)
# Decode scale-encoded Option<SubnetHyperparameters>
subnet_hyper_params: Optional[SubnetHyperparameters] = SubnetHyperparameters.decode_option(
bytes.fromhex(
hex_bytes_result
))
```
### decode by type string
*Note: This feature is unstable, but working for multiple types.*
You may also decode using a type-string formed from existing types by passing the metadata as pulled from a node (or formed manually).
```python
import bittensor, bt_decode, scalecodec
# Get subtensor connection
sub = bittensor.subtensor()
# Create a param for the RPC call, using v15 metadata
v15_int = scalecodec.U32()
v15_int.value = 15
# Make the RPC call to grab the metadata
metadata_rpc_result = sub.substrate.rpc_request("state_call", [
"Metadata_metadata_at_version",
v15_int.encode().to_hex(),
sub.substrate.get_chain_finalised_head()
])
# Decode the metadata into a PortableRegistry type
metadata_option_hex_str = metadata_rpc_result['result']
metadata_option_bytes = bytes.fromhex(metadata_option_hex_str[2:])
metadata_v15 = bt_decode.MetadataV15.decode_from_metadata_option(metadata_option_bytes)
registry = bt_decode.PortableRegistry.from_metadata_v15( metadata_v15 )
# Decode by type-string
NETUID = 1
## Grab result from RuntimeAPI
hex_bytes_result = sub.query_runtime_api(
runtime_api="NeuronInfoRuntimeApi",
method="get_neurons_lite",
params=[NETUID]
)
## Decode scale-encoded NeuronInfoLite by type-string
neurons_lite: List[NeuronInfoLite] = bt_decode.decode(
"Vec<NeuronInfoLite>", # type-string
registry, # registry as above
bytes.fromhex(
hex_bytes_result # bytes to decode
)
)
```
### encode by type string
*Note: This feature is unstable, but working for multiple types.*
You may also encode using a type-string formed from existing types by passing the metadata as pulled from a node (or formed manually).
```python
import bittensor, bt_decode, scalecodec
# Get subtensor connection
sub = bittensor.subtensor()
# Create a param for the RPC call, using v15 metadata
v15_int = scalecodec.U32()
v15_int.value = 15
# Make the RPC call to grab the metadata
metadata_rpc_result = sub.substrate.rpc_request("state_call", [
"Metadata_metadata_at_version",
v15_int.encode().to_hex(),
sub.substrate.get_chain_finalised_head()
])
# Decode the metadata into a PortableRegistry type
metadata_option_hex_str = metadata_rpc_result['result']
metadata_option_bytes = bytes.fromhex(metadata_option_hex_str[2:])
metadata_v15 = bt_decode.MetadataV15.decode_from_metadata_option(metadata_option_bytes)
registry = bt_decode.PortableRegistry.from_metadata_v15( metadata_v15 )
## Encode an integer as a compact u16
compact_u16: list[int] = bt_decode.encode(
"Compact<u16>", # type-string,
2**16-1,
registry
)
# [254, 255, 3, 0]
compact_u16_py_scale_codec = scalecodec.Compact()
compact_u16_py_scale_codec.value = 2**16-1
compact_u16_py_scale_codec.encode()
assert list(compact_u16_py_scale_codec.data.data) == compact_u16
```
Raw data
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"name": "bt-decode",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.9",
"maintainer_email": "Cameron Fairchild <cameron@opentensor.dev>",
"keywords": "substrate, scale, codec, bittensor",
"author": null,
"author_email": "Cameron Fairchild <cameron@opentensor.dev>, Opentensor Foundation <hello@bittensor.com>",
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"description": "# bt-decode\nA python wrapper around the rust scale-codec crate for fast scale-decoding of Bittensor data structures.\n\n## Usage\n\n### DelegateInfo\n#### get_delegates\n```python\nimport bittensor\nfrom bt_decode import DelegateInfo\n\n# Setup subtensor connection\nsubtensor = bittensor.subtensor()\n# Grab result from RuntimeAPI\nhex_bytes_result = sub.query_runtime_api(\n runtime_api=\"DelegateInfoRuntimeApi\",\n method=\"get_delegates\",\n params=[ ]\n)\n# Decode scale-encoded Vec<DelegateInfo>\ndelegates_info: List[DelegateInfo] = DelegateInfo.decode_vec(\n bytes.fromhex(\n hex_bytes_result\n))\n```\n#### get_delegated\n```python\nimport bittensor\nfrom bt_decode import DelegateInfo\n\nvalidator_key = bittensor.Keypair(ss58_address=\"5E9fVY1jexCNVMjd2rdBsAxeamFGEMfzHcyTn2fHgdHeYc5p\")\n\n# Setup subtensor connection\nsubtensor = bittensor.subtensor()\n# Grab result from RuntimeAPI\nhex_bytes_result = sub.query_runtime_api(\n runtime_api=\"DelegateInfoRuntimeApi\",\n method=\"get_delegated\",\n params=[list( validator_key.public_key )]\n)\n# Decode scale-encoded Vec<(DelegateInfo, take)>\ndelegated_info: List[Tuple[DelegateInfo, int]] = DelegateInfo.decode_delegated(\n bytes.fromhex(\n hex_bytes_result\n))\n```\n\n### NeuronInfo\n#### get_neuron\n```python\nimport bittensor\nfrom bt_decode import NeuronInfo\n\n# Setup subtensor connection\nsubtensor = bittensor.subtensor()\nNETUID = 1\nUID = 0\n# Grab result from RuntimeAPI\nhex_bytes_result = sub.query_runtime_api(\n runtime_api=\"NeuronInfoRuntimeApi\",\n method=\"get_neuron\",\n params=[NETUID, UID]\n)\n# Decode scale-encoded NeuronInfo\nneuron: NeuronInfo = NeuronInfo.decode(\n bytes.fromhex(\n hex_bytes_result\n))\n```\n\n#### get_neurons\n```python\nimport bittensor\nfrom bt_decode import NeuronInfo\n\n# Setup subtensor connection\nsubtensor = bittensor.subtensor()\nNETUID = 1\n# Grab result from RuntimeAPI\nhex_bytes_result = sub.query_runtime_api(\n runtime_api=\"NeuronInfoRuntimeApi\",\n method=\"get_neurons\",\n params=[NETUID]\n)\n# Decode scale-encoded Vec<NeuronInfo>\nneurons: List[NeuronInfo] = NeuronInfo.decode_vec(\n bytes.fromhex(\n hex_bytes_result\n))\n```\n\n### NeuronInfoLite\n#### get_neuron_lite\n```python\nimport bittensor\nfrom bt_decode import NeuronInfoLite\n\n# Setup subtensor connection\nsubtensor = bittensor.subtensor()\nNETUID = 1\nUID = 0\n# Grab result from RuntimeAPI\nhex_bytes_result = sub.query_runtime_api(\n runtime_api=\"NeuronInfoRuntimeApi\",\n method=\"get_neuron_lite\",\n params=[NETUID, UID]\n)\n# Decode scale-encoded NeuronInfoLite\nneuron_lite: NeuronInfoLite = NeuronInfoLite.decode(\n bytes.fromhex(\n hex_bytes_result\n))\n```\n\n#### get_neurons_lite\n```python\nimport bittensor\nfrom bt_decode import NeuronInfoLite\n\n# Setup subtensor connection\nsubtensor = bittensor.subtensor()\nNETUID = 1\n# Grab result from RuntimeAPI\nhex_bytes_result = sub.query_runtime_api(\n runtime_api=\"NeuronInfoRuntimeApi\",\n method=\"get_neurons_lite\",\n params=[NETUID]\n)\n# Decode scale-encoded Vec<NeuronInfoLite>\nneurons_lite: List[NeuronInfoLite] = NeuronInfoLite.decode_vec(\n bytes.fromhex(\n hex_bytes_result\n))\n```\n\n### StakeInfo\n#### get_stake_info_for_coldkey\n```python\nimport bittensor\nfrom bt_decode import StakeInfo\n\nvalidator_key = bittensor.Keypair(ss58_address=\"5HBtpwxuGNL1gwzwomwR7sjwUt8WXYSuWcLYN6f9KpTZkP4k\")\n\n# Setup subtensor connection\nsubtensor = bittensor.subtensor()\nencoded_coldkey = list( validator_key.public_key )\n# Grab result from RuntimeAPI\nhex_bytes_result = sub.query_runtime_api(\n runtime_api=\"StakeInfoRuntimeApi\",\n method=\"get_stake_info_for_coldkey\",\n params=[encoded_coldkey]\n)\n# Decode scale-encoded StakeInfo\nstake_info: List[StakeInfo] = StakeInfo.decode_vec(\n bytes.fromhex(\n hex_bytes_result\n))\n```\n\n#### get_stake_info_for_coldkeys\n```python\nimport bittensor\nfrom bt_decode import StakeInfo\n\nvalidator_key_0 = bittensor.Keypair(ss58_address=\"5GcCZ2BPXBjgG88tXJCEtkbdg2hNrPbL4EFfbiVRvBZdSQDC\")\nvalidator_key_1 = bittensor.Keypair(ss58_address=\"5HBtpwxuGNL1gwzwomwR7sjwUt8WXYSuWcLYN6f9KpTZkP4k\")\n\nencoded_coldkeys = [\n list( validator_key_0.public_key ),\n list( validator_key_1.public_key )\n]\n\n# Setup subtensor connection\nsubtensor = bittensor.subtensor()\n# Grab result from RuntimeAPI\nhex_bytes_result = sub.query_runtime_api(\n runtime_api=\"StakeInfoRuntimeApi\",\n method=\"get_stake_info_for_coldkeys\",\n params=[encoded_coldkeys]\n)\n# Decode scale-encoded Vec<(AccountId, StakeInfo)>\nstake_info: List[Tuple[bytes, List[\"StakeInfo\"]]] = StakeInfo.decode_vec_tuple_vec(\n bytes.fromhex(\n hex_bytes_result\n))\n```\n### SubnetInfo\n#### get_subnet_info\n```python\nimport bittensor\nfrom bt_decode import SubnetInfo\n\n# Setup subtensor connection\nsubtensor = bittensor.subtensor()\nNETUID = 1\n# Grab result from RuntimeAPI\nhex_bytes_result = sub.query_runtime_api(\n runtime_api=\"SubnetInfoRuntimeApi\",\n method=\"get_subnet_info\",\n params=[NETUID]\n)\n# Decode scale-encoded Option<SubnetInfo>\nsubnet_info: SubnetInfo = SubnetInfo.decode_option(\n bytes.fromhex(\n hex_bytes_result\n))\n```\n\n#### get_subnets_info\n```python\nimport bittensor\nfrom bt_decode import SubnetInfo\n\n# Setup subtensor connection\nsubtensor = bittensor.subtensor()\n# Grab result from RuntimeAPI\nhex_bytes_result = sub.query_runtime_api(\n runtime_api=\"SubnetInfoRuntimeApi\",\n method=\"get_subnets_info\",\n params=[ ]\n)\n# Decode scale-encoded Vec<Option<SubnetInfo>>\nsubnets_info: List[Optional[SubnetInfo]] = SubnetInfo.decode_vec_option(\n bytes.fromhex(\n hex_bytes_result\n))\n```\n\n### SubnetHyperparameters\n#### get_subnet_hyperparams\n```python\nimport bittensor\nfrom bt_decode import SubnetHyperparameters\n\n# Setup subtensor connection\nsubtensor = bittensor.subtensor()\nNETUID = 1\n# Grab result from RuntimeAPI\nhex_bytes_result = sub.query_runtime_api(\n runtime_api=\"SubnetInfoRuntimeApi\",\n method=\"get_subnet_hyperparams\",\n params=[NETUID]\n)\n# Decode scale-encoded Option<SubnetHyperparameters>\nsubnet_hyper_params: Optional[SubnetHyperparameters] = SubnetHyperparameters.decode_option(\n bytes.fromhex(\n hex_bytes_result\n))\n```\n\n### decode by type string\n*Note: This feature is unstable, but working for multiple types.*\n\nYou may also decode using a type-string formed from existing types by passing the metadata as pulled from a node (or formed manually).\n```python\nimport bittensor, bt_decode, scalecodec\n# Get subtensor connection\nsub = bittensor.subtensor()\n# Create a param for the RPC call, using v15 metadata\nv15_int = scalecodec.U32()\nv15_int.value = 15\n# Make the RPC call to grab the metadata\nmetadata_rpc_result = sub.substrate.rpc_request(\"state_call\", [\n \"Metadata_metadata_at_version\",\n v15_int.encode().to_hex(),\n sub.substrate.get_chain_finalised_head()\n])\n# Decode the metadata into a PortableRegistry type\nmetadata_option_hex_str = metadata_rpc_result['result']\nmetadata_option_bytes = bytes.fromhex(metadata_option_hex_str[2:])\nmetadata_v15 = bt_decode.MetadataV15.decode_from_metadata_option(metadata_option_bytes)\nregistry = bt_decode.PortableRegistry.from_metadata_v15( metadata_v15 )\n\n# Decode by type-string\nNETUID = 1\n## Grab result from RuntimeAPI\nhex_bytes_result = sub.query_runtime_api(\n runtime_api=\"NeuronInfoRuntimeApi\",\n method=\"get_neurons_lite\",\n params=[NETUID]\n)\n## Decode scale-encoded NeuronInfoLite by type-string\nneurons_lite: List[NeuronInfoLite] = bt_decode.decode(\n \"Vec<NeuronInfoLite>\", # type-string\n registry, # registry as above\n bytes.fromhex(\n hex_bytes_result # bytes to decode\n )\n)\n```\n\n### encode by type string\n*Note: This feature is unstable, but working for multiple types.*\n\nYou may also encode using a type-string formed from existing types by passing the metadata as pulled from a node (or formed manually).\n```python\nimport bittensor, bt_decode, scalecodec\n# Get subtensor connection\nsub = bittensor.subtensor()\n# Create a param for the RPC call, using v15 metadata\nv15_int = scalecodec.U32()\nv15_int.value = 15\n# Make the RPC call to grab the metadata\nmetadata_rpc_result = sub.substrate.rpc_request(\"state_call\", [\n \"Metadata_metadata_at_version\",\n v15_int.encode().to_hex(),\n sub.substrate.get_chain_finalised_head()\n])\n# Decode the metadata into a PortableRegistry type\nmetadata_option_hex_str = metadata_rpc_result['result']\nmetadata_option_bytes = bytes.fromhex(metadata_option_hex_str[2:])\nmetadata_v15 = bt_decode.MetadataV15.decode_from_metadata_option(metadata_option_bytes)\nregistry = bt_decode.PortableRegistry.from_metadata_v15( metadata_v15 )\n\n\n## Encode an integer as a compact u16\ncompact_u16: list[int] = bt_decode.encode(\n \"Compact<u16>\", # type-string,\n 2**16-1,\n registry\n)\n# [254, 255, 3, 0]\ncompact_u16_py_scale_codec = scalecodec.Compact()\ncompact_u16_py_scale_codec.value = 2**16-1\ncompact_u16_py_scale_codec.encode()\n\nassert list(compact_u16_py_scale_codec.data.data) == compact_u16\n```\n\n",
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