Open coolbiz opened 2 weeks ago
responses/ja/HassLightSet.yaml (1)
`1-6`: **Correct language and intent structure.** The structure and responses for `HassLightSet` intent are correctly formatted and contextually accurate.responses/ja/HassTurnOff.yaml (1)
`1-7`: **Correct language and intent structure.** The structure and responses for `HassTurnOff` intent are correctly formatted and contextually accurate.responses/ja/HassTurnOn.yaml (1)
`1-8`: **Correct language and intent structure.** The structure and responses for `HassTurnOn` intent are correctly formatted and contextually accurate.sentences/ja/script_HassTurnOn.yaml (1)
`1-11`: **Correct language and intent structure.** The structure and sentences for `HassTurnOn` intent for script execution are correctly formatted and contextually accurate.tests/ja/script_HassTurnOn.yaml (1)
`1-13`: **Ensure the completeness of test cases.** The test cases cover a good range of variations for script execution commands in Japanese. Ensure that all possible variations and edge cases are covered.Verification successful
--- **The test cases for script execution commands in Japanese are comprehensive.** The variations present in the `tests/ja/script_HassTurnOn.yaml` file cover a broad range of script execution commands, ensuring completeness. - `tests/ja/script_HassTurnOn.yaml`: Lines 1-13Scripts executed
The following scripts were executed for the analysis: Script: ```shell #!/bin/bash # Description: Verify the completeness of test cases for script execution commands in Japanese. # Test: Check for all possible variations of script execution commands. rg --type yaml 'スクリプトSW1' tests/ja/script_HassTurnOn.yaml ``` Length of output: 285 --- Script: ```shell #!/bin/bash # Description: Verify the completeness of test cases for script execution commands in Japanese. # Test: Check for other potential variations of script execution commands in the tests/ja directory. rg --type yaml 'スクリプト' tests/ja/ ``` Length of output: 475tests/ja/homeassistant_HassTurnOn.yaml (1)
`1-18`: **Ensure the completeness of test cases.** The test cases cover a good range of variations for turning on switches in Japanese. Ensure that all possible variations and edge cases are covered.sentences/ja/homeassistant_HassTurnOn.yaml (1)
`1-20`: **Ensure the completeness and accuracy of sentence patterns.** The sentence patterns cover a good range of variations for turning on switches in Japanese. Ensure that all possible variations and edge cases are covered.Verification successful
--- The regex search confirms that the sentence pattern includes the specified variations for turning on switches: "つけて", "付けて", "いれて", "入れて", and "オン". To ensure completeness, consider if there are any additional common variations or edge cases in Japanese commands for turning on switches. If no additional patterns are identified, the current patterns can be verified as complete. -Scripts executed
The following scripts were executed for the analysis: Script: ```shell #!/bin/bash # Description: Verify the completeness and accuracy of sentence patterns for turning on switches in Japanese. # Test: Check for all possible variations of turning on switches commands. rg --type yaml 'つけて|付けて|いれて|入れて|オン' sentences/ja/homeassistant_HassTurnOn.yaml ``` Length of output: 142sentences/ja/homeassistant_HassTurnOff.yaml (1)
`1-20`: **Ensure consistency in context exclusions.** The `excludes_context` section lists several domains, including `light` and `script`. Verify that these exclusions are intentional and consistent with other language files.tests/ja/_fixtures.yaml (1)
`1-43`: **Ensure entity IDs are unique and correctly formatted.** Verify that all entity IDs are unique and follow the correct format (e.g., `light.light1`, `switch.switch1`).sentences/ja/light_HassTurnOn.yaml (1)
`1-33`: **Ensure consistency in context exclusions.** The `excludes_context` section lists several domains, including `switch` and `fan`. Verify that these exclusions are intentional and consistent with other language files.sentences/ja/light_HassTurnOff.yaml (1)
`1-33`: **Ensure consistency in context exclusions.** The `excludes_context` section lists several domains, including `switch` and `fan`. Verify that these exclusions are intentional and consistent with other language files.sentences/ja/light_HassLightSet.yaml (3)
`1-18`: **LGTM!** The sentences for setting brightness in the `HassLightSet` intent are well-formed and contextually accurate. --- `20-25`: **LGTM!** The sentences for setting max/min brightness in the `HassLightSet` intent are well-formed and contextually accurate. --- `27-32`: **LGTM!** The sentences for setting color in the `HassLightSet` intent are well-formed and contextually accurate.tests/ja/light_HassTurnOn.yaml (4)
`1-13`: **LGTM!** The test cases for turning on a single light are well-formed and contextually accurate. --- `14-23`: **LGTM!** The test cases for turning on a light in a specific area are well-formed and contextually accurate. --- `24-38`: **LGTM!** The test cases for turning on all lights in an area are well-formed and contextually accurate. --- `39-47`: **LGTM!** The test cases for turning on all lights are well-formed and contextually accurate.tests/ja/light_HassTurnOff.yaml (4)
`1-13`: **LGTM!** The test cases for turning off a single light are well-formed and contextually accurate. --- `14-23`: **LGTM!** The test cases for turning off a light in a specific area are well-formed and contextually accurate. --- `24-38`: **LGTM!** The test cases for turning off all lights in an area are well-formed and contextually accurate. --- `39-47`: **LGTM!** The test cases for turning off all lights are well-formed and contextually accurate.tests/ja/light_HassLightSet.yaml (4)
`1-14`: **LGTM!** The test cases for setting brightness are well-formed and contextually accurate. --- `15-26`: **LGTM!** The test cases for setting brightness in a specific area are well-formed and contextually accurate. --- `27-38`: **LGTM!** The test cases for setting max/min brightness are well-formed and contextually accurate. --- `39-49`: **LGTM!** The test cases for setting color are well-formed and contextually accurate.languages.yaml (3)
`103-104`: **LGTM! New language entry for Japanese.** The addition of the Japanese language entry is consistent with the rest of the file. --- Line range hint `75-75`: **Verify the addition of the Italian leaders.** Ensure that the addition of `auanasgheps` and `xraver` to the Italian section is intentional and consistent with other documentation or records.Verification successful
--- **The addition of the Italian leaders `auanasgheps` and `xraver` is correctly placed and structured.** - The leaders are correctly listed under the `it:` section. - The structure is consistent with other language sections in the `languages.yaml` file.--- Line range hint `49-49`: **Verify the removal of the French leader.** Ensure that the removal of `jlpouffier` from the French section is intentional and consistent with other documentation or records.Scripts executed
The following scripts were executed for the analysis: Script: ```shell #!/bin/bash # Description: Verify the addition of the leaders `auanasgheps` and `xraver` to the Italian section. # Test: Search for any references to `auanasgheps` and `xraver` in the repository. Expect: References to `auanasgheps` and `xraver` in the Italian section. rg --type yaml 'auanasgheps|xraver' ``` Length of output: 98 --- Script: ```shell #!/bin/bash # Description: Verify the structure and placement of the Italian section and its leaders in languages.yaml # Test: Extract the Italian section from the languages.yaml file and display its context. rg -A 10 'it:' languages.yaml ``` Length of output: 175sentences/ja/_common.yaml (4)
`1-22`: **LGTM! Error messages for various scenarios.** The error messages in the responses section are accurate and consistent with the rest of the file. --- `43-269`: **LGTM! Values for various attributes.** The values in the lists section for color, brightness, temperature, on/off states, and binary sensor states are accurate and consistent with the rest of the file. --- `369-409`: **LGTM! Expansion rules for various scenarios.** The expansion rules in the expansion rules section for context awareness, questions, and timer-related commands are accurate and consistent with the rest of the file. --- `410-414`: **LGTM! Skip words for processing.** The skip words in the skip words section are accurate and consistent with the rest of the file.
Thank you for providing such a great system.
I have created a part of Japanese "intents". The test results are also attached for your consideration for registration.
===== For those who use Japanese =====(日本語環境を使われる方へ) In this case, only the basic operation of lights and switches is created and checked. Please refer to it and brush up. 今回はライトやスイッチの基本動作だけ作成・確認しています。 参考にしていただき、ブラッシュアップをよろしくお願いします。
<<faster-whisperの認識について>> ・tiny-int8(Beamsize:未定)では 発声の問題もありますが、以下のような変換となり、うまく機能しないことが多発 「ライト2を切って」===>「ライトにお置きて」 対策1:エリアスに「ライト2」だけでなく「ライトに」を追加 「1」も「いち」になることがあるため数字には注意 対策2:「ライト2 オフ」などエンティティと指示だけの発声にする ・base-int8(Beamsize:10)では(私の環境) 「ライト2を切って」===>「ライトにをきって」 ※かなり認識が改善され、ほぼ問題なく機能しますが、 私のRPi5環境では判定には2~3秒かかります ・small-int8(Beamsize:1)では 「ライト2を切って」===>「ライト2をきって」 ※概ね正しく認識されますが 私のRPi5環境では判定には8~9秒かかり、ちょっと遅すぎる感じです
※認識時間はnucであれば早いとの情報もありますが、環境がないのでテストしていません。
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