Dynamic cli commands registration.

paddlespeech/cli/__init__.py

@@ -13,14 +13,7 @@
 # limitations under the License.
 import _locale
 
-from .asr import ASRExecutor
 from .base_commands import BaseCommand
 from .base_commands import HelpCommand
-from .cls import CLSExecutor
-from .st import STExecutor
-from .stats import StatsExecutor
-from .text import TextExecutor
-from .tts import TTSExecutor
-from .vector import VectorExecutor
 
 _locale._getdefaultlocale = (lambda *args: ['en_US', 'utf8'])

paddlespeech/cli/asr/infer.py

@@ -29,7 +29,6 @@ from yacs.config import CfgNode
 from ..download import get_path_from_url
 from ..executor import BaseExecutor
 from ..log import logger
-from ..utils import cli_register
 from ..utils import CLI_TIMER
 from ..utils import MODEL_HOME
 from ..utils import stats_wrapper
@@ -45,8 +44,6 @@ __all__ = ['ASRExecutor']
 
 
 @timer_register
-@cli_register(
-    name='paddlespeech.asr', description='Speech to text infer command.')
 class ASRExecutor(BaseExecutor):
     def __init__(self):
         super().__init__()

paddlespeech/cli/base_commands.py

@@ -15,6 +15,7 @@ from typing import List
 
 from .entry import commands
 from .utils import cli_register
+from .utils import explicit_command_register
 from .utils import get_command
 
 __all__ = [
@@ -73,3 +74,20 @@ class VersionCommand:
 
         print(msg)
         return True
+
+
+# Dynamic import when running specific command
+_commands = {
+    'asr': ['Speech to text infer command.', 'ASRExecutor'],
+    'cls': ['Audio classification infer command.', 'CLSExecutor'],
+    'st': ['Speech translation infer command.', 'STExecutor'],
+    'text': ['Text command.', 'TextExecutor'],
+    'tts': ['Text to Speech infer command.', 'TTSExecutor'],
+    'vector': ['Speech to vector embedding infer command.', 'VectorExecutor'],
+}
+
+for com, info in _commands.items():
+    explicit_command_register(
+        name='paddlespeech.{}'.format(com),
+        description=info[0],
+        cls='paddlespeech.cli.{}.{}'.format(com, info[1]))

paddlespeech/cli/cls/infer.py

@@ -27,7 +27,6 @@ from paddlespeech.utils.dynamic_import import dynamic_import
 
 from ..executor import BaseExecutor
 from ..log import logger
-from ..utils import cli_register
 from ..utils import stats_wrapper
 from .pretrained_models import model_alias
 from .pretrained_models import pretrained_models
@@ -36,8 +35,6 @@ from .pretrained_models import pretrained_models
 __all__ = ['CLSExecutor']
 
 
-@cli_register(
-    name='paddlespeech.cls', description='Audio classification infer command.')
 class CLSExecutor(BaseExecutor):
     def __init__(self):
         super().__init__()
@@ -246,4 +243,4 @@ class CLSExecutor(BaseExecutor):
         self.infer()
         res = self.postprocess(topk)  # Retrieve result of cls.
 
-        return res
+        return res

paddlespeech/cli/entry.py

@@ -34,6 +34,11 @@ def _execute():
     # The method 'execute' of a command instance returns 'True' for a success
     # while 'False' for a failure. Here converts this result into a exit status
     # in bash: 0 for a success and 1 for a failure.
+    if not callable(com['_entry']):
+        i = com['_entry'].rindex('.')
+        module, cls = com['_entry'][:i], com['_entry'][i + 1:]
+        exec("from {} import {}".format(module, cls))
+        com['_entry'] = locals()[cls]
     status = 0 if com['_entry']().execute(sys.argv[idx:]) else 1
     return status
 

paddlespeech/cli/st/infer.py

@@ -28,7 +28,6 @@ from yacs.config import CfgNode
 
 from ..executor import BaseExecutor
 from ..log import logger
-from ..utils import cli_register
 from ..utils import download_and_decompress
 from ..utils import MODEL_HOME
 from ..utils import stats_wrapper
@@ -42,8 +41,6 @@ from paddlespeech.utils.dynamic_import import dynamic_import
 __all__ = ["STExecutor"]
 
 
-@cli_register(
-    name="paddlespeech.st", description="Speech translation infer command.")
 class STExecutor(BaseExecutor):
     def __init__(self):
         super().__init__()

paddlespeech/cli/text/infer.py

@@ -23,7 +23,6 @@ import paddle
 
 from ..executor import BaseExecutor
 from ..log import logger
-from ..utils import cli_register
 from ..utils import stats_wrapper
 from .pretrained_models import model_alias
 from .pretrained_models import pretrained_models
@@ -33,7 +32,6 @@ from paddlespeech.utils.dynamic_import import dynamic_import
 __all__ = ['TextExecutor']
 
 
-@cli_register(name='paddlespeech.text', description='Text infer command.')
 class TextExecutor(BaseExecutor):
     def __init__(self):
         super().__init__()

paddlespeech/cli/tts/infer.py

@@ -28,7 +28,6 @@ from yacs.config import CfgNode
 
 from ..executor import BaseExecutor
 from ..log import logger
-from ..utils import cli_register
 from ..utils import stats_wrapper
 from .pretrained_models import model_alias
 from .pretrained_models import pretrained_models
@@ -40,8 +39,6 @@ from paddlespeech.utils.dynamic_import import dynamic_import
 __all__ = ['TTSExecutor']
 
 
-@cli_register(
-    name='paddlespeech.tts', description='Text to Speech infer command.')
 class TTSExecutor(BaseExecutor):
     def __init__(self):
         super().__init__()

paddlespeech/cli/utils.py

@@ -41,6 +41,7 @@ requests.adapters.DEFAULT_RETRIES = 3
 __all__ = [
     'timer_register',
     'cli_register',
+    'explicit_command_register',
     'get_command',
     'download_and_decompress',
     'load_state_dict_from_url',
@@ -70,6 +71,16 @@ def cli_register(name: str, description: str='') -> Any:
     return _warpper
 
 
+def explicit_command_register(name: str, description: str='', cls: str=''):
+    items = name.split('.')
+    com = commands
+    for item in items:
+        com = com[item]
+    com['_entry'] = cls
+    if description:
+        com['_description'] = description
+
+
 def get_command(name: str) -> Any:
     items = name.split('.')
     com = commands

paddlespeech/cli/vector/infer.py

@@ -28,7 +28,6 @@ from yacs.config import CfgNode
 
 from ..executor import BaseExecutor
 from ..log import logger
-from ..utils import cli_register
 from ..utils import stats_wrapper
 from .pretrained_models import model_alias
 from .pretrained_models import pretrained_models
@@ -37,9 +36,6 @@ from paddlespeech.vector.io.batch import feature_normalize
 from paddlespeech.vector.modules.sid_model import SpeakerIdetification
 
 
-@cli_register(
-    name="paddlespeech.vector",
-    description="Speech to vector embedding infer command.")
 class VectorExecutor(BaseExecutor):
     def __init__(self):
         super().__init__()
@@ -476,4 +472,4 @@ class VectorExecutor(BaseExecutor):
         else:
             logger.info("The audio file format is right")
 
-        return True
+        return True