Dianya Api python wrapper
Project description
Dianya API Python SDK
基于 Rust + PyO3 实现的异步 Python SDK,完整封装了 transcribe 与 translate 模块,并提供统一的错误类型、流式转写能力与类型提示。
环境要求
- Python ≥ 3.10
- 已安装
uv作为 Python 包管理与执行工具 - Rust 工具链(与 workspace 版本保持一致)
快速开始
# 开发模式安装本地扩展
uv run maturin develop --release
import asyncio
from dianya import TranscribeApi, DianyaApiError
async def main() -> None:
token = "YOUR_BEARER_TOKEN"
client = TranscribeApi()
try:
session = await client.transcribe_create_session(token=token)
print("session:", session["task_id"])
upload = await client.transcribe_upload(
filepath="sample.wav",
transcribe_only=True,
token=token,
)
print("upload:", upload)
status = await client.transcribe_status(task_id=session["task_id"], token=token)
print("status:", status["status"])
except DianyaApiError as exc:
# SDK 会把错误码挂载到异常的 code 字段
print(f"接口调用失败: {exc.code} -> {exc}")
asyncio.run(main())
流式转写
from dianya import TranscribeApi, TranscribeStream
async def consume_stream(session_id: str) -> None:
stream = TranscribeStream(session_id)
await stream.start()
try:
while message := await stream.read_next():
print("WS message:", message)
finally:
await stream.stop()
TranscribeStream.send_text/TranscribeStream.send_bytes向服务端发送控制命令或音频帧TranscribeStream.read_next支持可选超时(秒),无消息时返回NoneTranscribeStream.stop会主动关闭连接,实例释放时也会尝试收尾
错误处理
- 所有错误统一包装为
DianyaApiError,code字段与common::Error定义保持一致,例如WS_ERROR、INVALID_INPUT - 底层 JSON 解析失败会抛出
JSON_ERROR - 运行时未初始化的流式连接会触发
UNEXPECTED_ERROR
可用方法概览
| 分类 | 方法 |
|---|---|
| 会话 | transcribe_create_session, transcribe_close_session |
| 上传 | transcribe_upload |
| 状态 | transcribe_status, transcribe_callback, transcribe_share_link |
| 总结 | transcribe_create_summary, transcribe_export |
| 翻译 | translate_text, translate_utterances, translate_transcribe |
| 流式 | TranscribeStream.start, TranscribeStream.send_text, TranscribeStream.send_bytes, TranscribeStream.read_next, TranscribeStream.stop |
所有入参与返回值的结构均在 dianya/__init__.pyi 中给出显式类型提示,可直接用于 IDE 补全与类型检查。
开发与测试
# 格式化 & lint(依赖 workspace 工具链)
cargo fmt
cargo clippy
# 安装开发依赖(包括 pytest 和 pytest-asyncio)
uv pip install -e ".[dev]"
# 运行 PyO3 扩展的示例/单测
uv run maturin develop --release
uv run pytest tests/ -v
# 运行单个测试文件
uv run pytest tests/test_session.py -v
uv run pytest tests/test_upload.py -v
uv run pytest tests/test_status.py -v
# 运行单个测试用例
uv run pytest tests/test_session.py::test_create_session -v
uv run pytest tests/test_upload.py::test_upload -v
uv run pytest tests/test_export.py::test_export_overview_as_pdf -v
参考测试策略:
- Rust 端补充关键路径的单元测试(例如错误转换、WS 封装)
- Python 侧可通过
pytest+asyncio编写使用示例测试,覆盖正常返回与异常路径
常见问题
- 如何传入自定义结构?
transcribe_create_summary、translate_utterances等接口接受任何Seq[dict],字段需与类型提示一致。 - 是否可以同步调用? SDK 当前仅提供
asyncAPI,建议在 Python 应用层自行封装同步包装,如果确实需要可用asyncio.run. - 如何查看原始响应? 所有返回值都保持与
transcribecrate 一致的 JSON 结构,可直接访问字典字段。
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