| Name | digitalkin-proto JSON |
| Version |
0.1.16
JSON |
| download |
| home_page | None |
| Summary | Python Generated gRPC client and server interfaces from Digitalkin's service apis |
| upload_time | 2025-07-15 10:10:37 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | None |
| keywords |
digitalkin
kin
agent
gprc
sdk
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# digitalkin_proto
[](https://github.com/DigitalKin-ai/service-apis-py/actions/workflows/ci.yml)
[](https://pypi.org/project/digitalkin_proto/)
[](https://pypi.org/project/digitalkin_proto/)
[](https://github.com/DigitalKin-ai/service-apis-py/blob/main/LICENSE)
Python Generated gRPC client and server interfaces from Digitalkin's service
APIs.
## Installation
```bash
pip install digitalkin_proto
```
## Overview
This package provides Python interfaces generated from Digitalkin's Protocol
Buffer definitions, enabling seamless integration with Digitalkin services via
gRPC.
## Usage
### Basic Import
```python
import digitalkin_proto
from digitalkin_proto.digitalkin.module.v1 import module_pb2, module_service_pb2_grpc
```
### Working with gRPC Services
Example for connecting to a gRPC service:
```python
import grpc
from digitalkin_proto.digitalkin.module.v1 import module_service_pb2_grpc
from digitalkin_proto.digitalkin.module.v1 import module_pb2
# Create a gRPC channel and client stub
channel = grpc.insecure_channel('localhost:50051')
stub = module_service_pb2_grpc.ModuleServiceStub(channel)
# Create a request object
request = module_pb2.YourRequestType(
field1="value1",
field2="value2"
)
# Call the service
response = stub.YourServiceMethod(request)
print(response)
```
## Development
### Prerequisites
- Python 3.10+
- [uv](https://astral.sh/uv) - Modern Python package management
- [buf](https://buf.build/docs/installation) - Protocol buffer toolkit
- [protoc](https://grpc.io/docs/protoc-installation/) - Protocol Buffers
compiler
- [Task](https://taskfile.dev/) - Task runner
### Setup Development Environment
```bash
# Clone the repository with submodules
git clone --recurse-submodules https://github.com/DigitalKin-ai/service-apis-py.git
cd service-apis-py
# Setup development environment and activate the venv
task setup-dev
source .venv/bin/activate
```
### Common Development Tasks
```bash
# Generate Python code from protobuf definitions
task gen-proto
# Build the package
task build-package
# Run tests
task run-tests
# Format code
task format
# Lint code
task lint
# Clean build artifacts
task clean
# Bump version
task bump-version -- major
task bump-version -- minor
task bump-version -- patch
```
### Publishing Process
1. Update code and commit changes
2. Use the GitHub "Create Release" workflow to bump version (patch, minor,
major)
3. The workflow will automatically create a new release and publish to PyPI
## License
This project is licensed under the terms specified in the LICENSE file.
Raw data
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"description": "# digitalkin_proto\n\n[](https://github.com/DigitalKin-ai/service-apis-py/actions/workflows/ci.yml)\n[](https://pypi.org/project/digitalkin_proto/)\n[](https://pypi.org/project/digitalkin_proto/)\n[](https://github.com/DigitalKin-ai/service-apis-py/blob/main/LICENSE)\n\nPython Generated gRPC client and server interfaces from Digitalkin's service\nAPIs.\n\n## Installation\n\n```bash\npip install digitalkin_proto\n```\n\n## Overview\n\nThis package provides Python interfaces generated from Digitalkin's Protocol\nBuffer definitions, enabling seamless integration with Digitalkin services via\ngRPC.\n\n## Usage\n\n### Basic Import\n\n```python\nimport digitalkin_proto\nfrom digitalkin_proto.digitalkin.module.v1 import module_pb2, module_service_pb2_grpc\n```\n\n### Working with gRPC Services\n\nExample for connecting to a gRPC service:\n\n```python\nimport grpc\nfrom digitalkin_proto.digitalkin.module.v1 import module_service_pb2_grpc\nfrom digitalkin_proto.digitalkin.module.v1 import module_pb2\n\n# Create a gRPC channel and client stub\nchannel = grpc.insecure_channel('localhost:50051')\nstub = module_service_pb2_grpc.ModuleServiceStub(channel)\n\n# Create a request object\nrequest = module_pb2.YourRequestType(\n field1=\"value1\",\n field2=\"value2\"\n)\n\n# Call the service\nresponse = stub.YourServiceMethod(request)\nprint(response)\n```\n\n## Development\n\n### Prerequisites\n\n- Python 3.10+\n- [uv](https://astral.sh/uv) - Modern Python package management\n- [buf](https://buf.build/docs/installation) - Protocol buffer toolkit\n- [protoc](https://grpc.io/docs/protoc-installation/) - Protocol Buffers\n compiler\n- [Task](https://taskfile.dev/) - Task runner\n\n### Setup Development Environment\n\n```bash\n# Clone the repository with submodules\ngit clone --recurse-submodules https://github.com/DigitalKin-ai/service-apis-py.git\ncd service-apis-py\n\n# Setup development environment and activate the venv\ntask setup-dev\nsource .venv/bin/activate\n\n```\n\n### Common Development Tasks\n\n```bash\n# Generate Python code from protobuf definitions\ntask gen-proto\n\n# Build the package\ntask build-package\n\n# Run tests\ntask run-tests\n\n# Format code\ntask format\n\n# Lint code\ntask lint\n\n# Clean build artifacts\ntask clean\n\n# Bump version\ntask bump-version -- major\ntask bump-version -- minor\ntask bump-version -- patch\n```\n\n### Publishing Process\n\n1. Update code and commit changes\n2. Use the GitHub \"Create Release\" workflow to bump version (patch, minor,\n major)\n3. The workflow will automatically create a new release and publish to PyPI\n\n## License\n\nThis project is licensed under the terms specified in the LICENSE file.\n",
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