HumeStreamClient improvements (#44)

docs/config/burst-config.md

@@ -0,0 +1 @@
+::: hume.models.config.burst_config.BurstConfig

docs/config/face-config.md

@@ -0,0 +1 @@
+::: hume.models.config.face_config.FaceConfig

docs/config/facemesh-config.md

@@ -0,0 +1 @@
+::: hume.models.config.facemesh_config.FacemeshConfig

docs/config/language-config.md

@@ -0,0 +1 @@
+::: hume.models.config.language_config.LanguageConfig

docs/config/ner-config.md

@@ -0,0 +1 @@
+::: hume.models.config.ner_config.NerConfig

docs/config/prosody-config.md

@@ -0,0 +1 @@
+::: hume.models.config.prosody_config.ProsodyConfig

docs/index.md

@@ -9,13 +9,13 @@ Python versions 3.8 and 3.9 are supported
 Basic installation:
 
 ```bash
-$ pip install hume
+pip install hume
 ```
 
 Websocket and streaming features can be enabled with:
 
 ```bash
-$ pip install hume[stream]
+pip install hume[stream]
 ```
 
 ## Basic Usage
@@ -26,10 +26,12 @@ $ pip install hume[stream]
 
 ```python
 from hume import HumeBatchClient
+from hume.models.config import FaceConfig
 
 client = HumeBatchClient("<your-api-key>")
 urls = ["https://tinyurl.com/hume-img"]
-job = client.submit_face(urls)
+config = FaceConfig(identify_faces=True)
+job = client.submit_job(urls, [config])
 
 print(job)
 print("Running...")
@@ -60,14 +62,13 @@ print(job)
 ```python
 import asyncio
 
-from hume import HumeStreamClient, StreamSocket
-from hume.config import FaceConfig
+from hume import HumeStreamClient
+from hume.models.config import FaceConfig
 
 async def main():
     client = HumeStreamClient("<your-api-key>")
-    configs = [FaceConfig(identify_faces=True)]
-    async with client.connect(configs) as socket:
-        socket: StreamSocket
+    config = FaceConfig(identify_faces=True)
+    async with client.connect([config]) as socket:
         result = await socket.send_file("<your-image-filepath>")
         print(result)
 

hume/__init__.py

@@ -1,21 +1,19 @@
 """Module init."""
-import importlib.metadata
+from importlib.metadata import version
 
 from hume._batch import BatchJob, BatchJobResult, BatchJobStatus, HumeBatchClient
 from hume._stream import HumeStreamClient, StreamSocket
-from hume._common.hume_client_error import HumeClientError
-from hume._common.model_type import ModelType
+from hume.error.hume_client_exception import HumeClientException
 
-__version__ = importlib.metadata.version("hume")
+__version__ = version("hume")
 
 __all__ = [
     "__version__",
     "BatchJob",
     "BatchJobResult",
     "BatchJobStatus",
     "HumeBatchClient",
-    "HumeClientError",
+    "HumeClientException",
     "HumeStreamClient",
-    "ModelType",
     "StreamSocket",
 ]

hume/_batch/batch_job.py

@@ -1,5 +1,4 @@
 """Batch job."""
-import logging
 from typing import TYPE_CHECKING
 
 from hume._batch.batch_job_result import BatchJobResult
@@ -9,8 +8,6 @@
 if TYPE_CHECKING:
     from hume._batch.hume_batch_client import HumeBatchClient
 
-logger = logging.getLogger(__name__)
-
 
 class BatchJob:
     """Batch job."""
@@ -51,7 +48,7 @@ def await_complete(self, timeout: int = 300) -> BatchJobResult:
         Args:
             timeout (int): Maximum time in seconds to await. If the timeout is reached
                 before the job reaches a terminal state the job will continue to be processed,
-                but a `HumeClientError` will be raised to the caller of `await_complete`.
+                but a `HumeClientException` will be raised to the caller of `await_complete`.
 
         Raises:
             ValueError: If the timeout is not valid.

hume/_batch/batch_job_result.py

@@ -6,10 +6,10 @@
 from urllib.request import urlretrieve
 
 from hume._batch.batch_job_status import BatchJobStatus
-from hume._common.model_type import ModelType
-from hume._common.config.job_config_base import JobConfigBase
-from hume._common.config.config_utils import config_from_model_type
-from hume._common.hume_client_error import HumeClientError
+from hume._common.config_utils import config_from_model_type
+from hume.error.hume_client_exception import HumeClientException
+from hume.models import ModelType
+from hume.models.config.model_config_base import ModelConfigBase
 
 
 class BatchJobResult:
@@ -18,7 +18,7 @@ class BatchJobResult:
     def __init__(
         self,
         *,
-        configs: Dict[ModelType, JobConfigBase],
+        configs: Dict[ModelType, ModelConfigBase],
         urls: List[str],
         status: BatchJobStatus,
         predictions_url: Optional[str] = None,
@@ -31,7 +31,7 @@ def __init__(
         """Construct a BatchJobResult.
 
         Args:
-            configs (Dict[ModelType, JobConfigBase]): Configurations for the `BatchJob`.
+            configs (Dict[ModelType, ModelConfigBase]): Configurations for the `BatchJob`.
             urls (List[str]): URLs processed in the `BatchJob`.
             status (BatchJobStatus): Status of `BatchJob`.
             predictions_url (Optional[str]): URL to predictions file.
@@ -58,7 +58,7 @@ def download_predictions(self, filepath: Optional[Union[str, Path]] = None) -> N
             filepath (Optional[Union[str, Path]]): Filepath where predictions will be downloaded.
         """
         if self.predictions_url is None:
-            raise HumeClientError("Could not download job predictions. No predictions found on job result.")
+            raise HumeClientException("Could not download job predictions. No predictions found on job result.")
         urlretrieve(self.predictions_url, filepath)
 
     def download_artifacts(self, filepath: Optional[Union[str, Path]] = None) -> None:
@@ -68,7 +68,7 @@ def download_artifacts(self, filepath: Optional[Union[str, Path]] = None) -> Non
             filepath (Optional[Union[str, Path]]): Filepath where artifacts zip archive will be downloaded.
         """
         if self.artifacts_url is None:
-            raise HumeClientError("Could not download job artifacts. No artifacts found on job result.")
+            raise HumeClientException("Could not download job artifacts. No artifacts found on job result.")
         urlretrieve(self.artifacts_url, filepath)
 
     def download_errors(self, filepath: Optional[Union[str, Path]] = None) -> None:
@@ -78,7 +78,7 @@ def download_errors(self, filepath: Optional[Union[str, Path]] = None) -> None:
             filepath (Optional[Union[str, Path]]): Filepath where errors will be downloaded.
         """
         if self.errors_url is None:
-            raise HumeClientError("Could not download job errors. No errors found on job result.")
+            raise HumeClientException("Could not download job errors. No errors found on job result.")
         urlretrieve(self.errors_url, filepath)
 
     def get_error_message(self) -> Optional[str]:
@@ -137,7 +137,7 @@ def from_response(cls, response: Any) -> "BatchJobResult":
             configs = {}
             for model_name, config_dict in request["models"].items():
                 model_type = ModelType.from_str(model_name)
-                config = config_from_model_type(model_type).deserialize(config_dict)
+                config = config_from_model_type(model_type).from_dict(config_dict)
                 configs[model_type] = config
 
             kwargs = {}
@@ -167,7 +167,7 @@ def from_response(cls, response: Any) -> "BatchJobResult":
         # pylint: disable=broad-except
         except Exception as exc:
             message = cls._get_invalid_response_message(response)
-            raise HumeClientError(message) from exc
+            raise HumeClientException(message) from exc
 
     @classmethod
     def _get_invalid_response_message(cls, response: Any) -> str:
@@ -178,6 +178,6 @@ def _get_invalid_response_message(cls, response: Any) -> str:
         if "fault" in response and "faultstring" in response["fault"]:
             fault_string = response["fault"]["faultstring"]
             if fault_string == "Invalid ApiKey":
-                message = "Client initialized with invalid API key"
+                message = "HumeBatchClient initialized with invalid API key."
 
         return message