- Custom build steps
- Python protobuf setup.py: Check
generate_protoandbuild_py - grpc_tools provided custom commands for setuptools
Example of a custom build command using grcp_tools
class CustomDevelopCommand(develop):
def run(self):
Rodolphe Marques r-marques
r-marques
/ metadata-721.json
Created
August 16, 2021 19:29
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| { | |
| "name": "Vitadao Test", | |
| "description": "Testing ERC721 Metadata JSON", | |
| "image": "https://vitadao.mypinata.cloud/ipfs/QmUdpaWdzLjaDsf2jkpyitUQD1fSJkZHFQA3csEnEEJ2SC" | |
| } |
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| cid://POWERGATE_TOKEN:DEAL_ID@POWERGATE_HOST:POWERGATE_PORT/CID_HASH | |
| cid://POWERGATE_HOST:POWERGATE_PORT/CID_HASH | |
| cid://POWERGATE_TOKEN:DEAL_ID@CID_HASH | |
| cid://POWERGATE_TOKEN:@CID_HASH | |
| cid://:DEAL_ID@CID_HASH | |
| cid://CID_HASH |
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| "files": [ | |
| { | |
| "url": "cid://QmW68jbcqSRtqSQb6xkukQ6tfonZGhu1VrZv9zAicNmovs", | |
| "index": 0, | |
| "checksum": "efb2c764274b745f5fc37f97c6b0e761", | |
| "contentLength": "4535431", | |
| "contentType": "text/csv", | |
| "encoding": "UTF-8", | |
| "compression": "zip" | |
| } |
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| execution_id_bank_a = nevermined.assets.execute( | |
| service_agreement_bank_a, | |
| "did:nv:36c9657aab6395d29bf9471a060b1711933193ad84c9675a38a63e09ff6d8a38", | |
| ServiceTypesIndices.DEFAULT_COMPUTING_INDEX, | |
| data_scientist, | |
| ddo_workflow1.did | |
| ) | |
| execution_bank_b = nevermined.assets.execute( | |
| service_agreement_bank_b, |
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| metadata_workflow = { | |
| "main": { | |
| "name": "Creditcard Fraud workflow", | |
| "dateCreated": "2021-01-07T09:45:09Z", | |
| "author": "Data Scientist", | |
| "license": "", | |
| "price": "0", | |
| "type": "workflow", | |
| "workflow": { |
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| metadata_algorithm = { | |
| "main": { | |
| "name": "Fraud Detection Algorithm", | |
| "dateCreated": "2021-01-07T09:45:09Z", | |
| "author": "Data Scientist", | |
| "license": "", | |
| "price": "0", | |
| "files": [ | |
| { | |
| "index": 0, |
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| from xain_sdk import ParticipantABC, run_participant | |
| from sklearn.model_selection import train_test_split | |
| from sklearn.linear_model import LogisticRegression | |
| from sklearn.metrics import accuracy_score | |
| class Participant(ParticipantABC): | |
| def __init__(self, data): | |
| super().__init__() |
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| service_agreement_bank_a = nevermined.assets.order( | |
| "did:nv:36c9657aab6395d29bf9471a060b1711933193ad84c9675a38a63e09ff6d8a38", | |
| ServiceTypesIndices.DEFAULT_COMPUTING_INDEX, | |
| data_scientist_account | |
| ) | |
| print(f"Service Agreement with Bank A: {service_agreement_bank_a}") | |
| "Service Agreement with Bank A: 0x37de8d58f3a34a128889ac7d4f24dcc992b422feb03e4578983f931d7bb4cbfa" |
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| metadata_bank_a = { | |
| "main": { | |
| "name": "Credit Card Data Part 1", | |
| "dateCreated": "2021-01-07T09:45:09Z" | |
| "author": "Bank A", | |
| "license": "", | |
| "price": "1", | |
| "files": [ | |
| { | |
| "index": 0, |
r-marques
/ python_protobuf_build.md
Last active
April 11, 2019 07:17
Python custom build steps for protobuf files
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