Action function for the text command.
(
deepl_client: deepl.DeepLClient,
show_detected_source: bool = False,
show_billed_characters: Optional[bool] = None,
show_model_type_used: Optional[bool] = None,
**kwargs,
)
| 77 | |
| 78 | |
| 79 | def action_text( |
| 80 | deepl_client: deepl.DeepLClient, |
| 81 | show_detected_source: bool = False, |
| 82 | show_billed_characters: Optional[bool] = None, |
| 83 | show_model_type_used: Optional[bool] = None, |
| 84 | **kwargs, |
| 85 | ): |
| 86 | """Action function for the text command.""" |
| 87 | |
| 88 | if show_model_type_used and kwargs.get("model_type") is None: |
| 89 | # specify model_type so API includes model_type_used response parameter |
| 90 | kwargs["model_type"] = deepl.ModelType.LATENCY_OPTIMIZED |
| 91 | |
| 92 | translation = deepl_client.translate_text(**kwargs) |
| 93 | output_list = ( |
| 94 | translation if isinstance(translation, List) else [translation] |
| 95 | ) |
| 96 | for output in output_list: |
| 97 | if show_detected_source: |
| 98 | print(f"Detected source language: {output.detected_source_lang}") |
| 99 | if show_billed_characters: |
| 100 | text_value = ( |
| 101 | "unknown" |
| 102 | if output.billed_characters is None |
| 103 | else str(output.billed_characters) |
| 104 | ) |
| 105 | print(f"Billed characters: {text_value}") |
| 106 | if show_model_type_used: |
| 107 | text_value = ( |
| 108 | "unknown" |
| 109 | if output.model_type_used is None |
| 110 | else output.model_type_used |
| 111 | ) |
| 112 | print(f"Model type used: {text_value}") |
| 113 | |
| 114 | print(output.text) |
| 115 | |
| 116 | |
| 117 | def action_rephrase( |
nothing calls this directly
no test coverage detected