fix: ship translations/en.json, missing since the component was vendored
Every label, description and error in this integration's UI renders untranslated in a live Home Assistant. homeassistant.helpers.translation loads `<integration>/translations/<lang>.json` and nothing else (there is no fallback to strings.json -- see translation.py's `integration.file_path / "translations" / file_name`), and this component has no translations/ directory at all. Core integrations get away with shipping only strings.json because core generates translations/ as a release step, resolving the `[%key:...%]` references strings.json uses to avoid duplicating text. Vendoring the source tree copies the input and leaves out the generated output, so the defect arrived with commit 48195c9 and would hit anyone who installs this from HACS. Rather than hand-write the file once and let it rot on the next upstream re-sync, scripts/generate_translations.py regenerates it: - `common::...` references resolve against the *installed* homeassistant package's own strings.json, so the text matches what core would have produced for that HA version. - `component::openai_compatible::...` self-references resolve against strings.json itself, repeatedly, since a reference can point at another reference. - Anything it cannot resolve (an unknown namespace, a reference to a different integration, a path that does not exist, a marker surviving the final pass) is a hard error rather than a raw `[%key:...%]` marker shipped into a label. All 70 references in strings.json resolve; the generated file carries config, config_subentries, exceptions, issues, selector and services. tests/test_translations.py locks it down: en.json must exist, must equal what the generator produces, and must contain no surviving markers. Verified the check actually catches drift rather than passing vacuously -- perturbing one label fails it, and deleting the file fails it. Local: 141 passed. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01NxJYWgGJtCw13qUHZtG8ki
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{
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"config": {
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"abort": {
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"already_configured": "Service is already configured",
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"reauth_successful": "Re-authentication was successful"
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},
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"error": {
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"cannot_connect": "Failed to connect",
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"credentials_in_url": "The base URL must not contain a username or password. Put authentication in the API key field instead.",
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"invalid_auth": "Invalid authentication",
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"invalid_base_url": "That does not look like a valid http(s) URL.",
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"unknown": "Unexpected error"
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},
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"step": {
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"reauth_confirm": {
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"data": {
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"api_key": "API key",
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"base_url": "API base URL"
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},
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"data_description": {
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"api_key": "Your OpenAI API key.",
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"base_url": "The base URL of the OpenAI-compatible API, including any version path such as /v1. The endpoint must implement the Responses API."
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},
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"description": "Reauthentication required. Please enter your updated API key and confirm the API base URL."
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},
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"user": {
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"data": {
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"api_key": "API key",
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"base_url": "API base URL"
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},
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"data_description": {
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"api_key": "Your OpenAI API key.",
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"base_url": "The base URL of the OpenAI-compatible API, including any version path such as /v1. The endpoint must implement the Responses API."
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},
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"description": "Set up OpenAI Conversation integration by providing your OpenAI API key. Instructions to obtain an API key can be found [here]({instructions_url})."
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}
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}
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},
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"config_subentries": {
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"ai_task_data": {
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"abort": {
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"entry_not_loaded": "Cannot add things while the configuration is disabled.",
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"reconfigure_successful": "Reconfiguration was successful"
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},
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"entry_type": "AI task",
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"error": {
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"code_interpreter_minimal_reasoning": "Code interpreter is not supported with minimal reasoning effort",
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"model_not_supported": "This model is not supported, please select a different model",
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"web_search_minimal_reasoning": "Web search is currently not supported with minimal reasoning effort"
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},
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"initiate_flow": {
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"reconfigure": "Reconfigure AI task",
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"user": "Add AI task"
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},
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"step": {
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"additional": {
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"data": {
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"chat_model": "Model",
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"max_tokens": "Maximum tokens to return in response",
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"store_responses": "Store requests and responses in OpenAI",
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"temperature": "Temperature",
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"top_p": "Top P"
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},
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"data_description": {
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"store_responses": "If enabled, requests and responses are stored by OpenAI and visible in your OpenAI dashboard logs"
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},
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"title": "Additional settings"
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},
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"init": {
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"data": {
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"name": "Name",
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"recommended": "Recommended model settings"
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}
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},
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"model": {
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"data": {
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"code_interpreter": "Enable code interpreter tool",
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"image_model": "Image generation model",
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"inline_citations": "Include links in web search results",
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"pro_mode": "Pro mode",
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"reasoning_effort": "Reasoning effort",
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"reasoning_summary": "Reasoning summary",
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"search_context_size": "Search context size",
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"service_tier": "Service tier",
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"user_location": "Include home location",
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"web_search": "Enable web search"
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},
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"data_description": {
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"code_interpreter": "This tool, also known as the python tool to the model, allows it to run code to answer questions",
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"image_model": "The model to use when generating images",
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"inline_citations": "If disabled, additional prompt is added to ask the model to not include source citations",
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"pro_mode": "Perform more model work to improve reliability on difficult tasks and return a single final answer",
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"reasoning_effort": "How many reasoning tokens the model should generate before creating a response to the prompt",
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"reasoning_summary": "Controls the length and detail of reasoning summaries provided by the model",
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"search_context_size": "High level guidance for the amount of context window space to use for the search",
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"service_tier": "Controls the cost and response time",
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"user_location": "Refine search results based on geography",
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"web_search": "Allow the model to search the web for the latest information before generating a response"
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},
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"title": "Model-specific options"
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}
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}
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},
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"conversation": {
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"abort": {
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"entry_not_loaded": "Cannot add things while the configuration is disabled.",
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"reconfigure_successful": "Reconfiguration was successful"
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},
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"entry_type": "Conversation agent",
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"error": {
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"code_interpreter_minimal_reasoning": "Code interpreter is not supported with minimal reasoning effort",
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"model_not_supported": "This model is not supported, please select a different model",
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"web_search_minimal_reasoning": "Web search is currently not supported with minimal reasoning effort"
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},
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"initiate_flow": {
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"reconfigure": "Reconfigure conversation agent",
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"user": "Add conversation agent"
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},
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"step": {
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"additional": {
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"data": {
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"chat_model": "Model",
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"max_tokens": "Maximum tokens to return in response",
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"store_responses": "Store requests and responses in OpenAI",
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"temperature": "Temperature",
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"top_p": "Top P"
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},
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"data_description": {
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"store_responses": "If enabled, requests and responses are stored by OpenAI and visible in your OpenAI dashboard logs"
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},
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"title": "Additional settings"
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},
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"init": {
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"data": {
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"llm_hass_api": "Control Home Assistant",
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"name": "Name",
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"prompt": "Instructions",
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"recommended": "Recommended model settings"
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},
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"data_description": {
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"prompt": "Instruct how the LLM should respond. This can be a template."
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}
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},
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"model": {
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"data": {
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"code_interpreter": "Enable code interpreter tool",
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"image_model": "Image generation model",
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"inline_citations": "Include links in web search results",
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"pro_mode": "Pro mode",
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"reasoning_effort": "Reasoning effort",
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"reasoning_summary": "Reasoning summary",
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"search_context_size": "Search context size",
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"service_tier": "Service tier",
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"user_location": "Include home location",
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"web_search": "Enable web search"
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},
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"data_description": {
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"code_interpreter": "This tool, also known as the python tool to the model, allows it to run code to answer questions",
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"image_model": "The model to use when generating images",
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"inline_citations": "If disabled, additional prompt is added to ask the model to not include source citations",
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"pro_mode": "Perform more model work to improve reliability on difficult tasks and return a single final answer",
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"reasoning_effort": "How many reasoning tokens the model should generate before creating a response to the prompt",
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"reasoning_summary": "Controls the length and detail of reasoning summaries provided by the model",
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"search_context_size": "High level guidance for the amount of context window space to use for the search",
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"service_tier": "Controls the cost and response time",
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"user_location": "Refine search results based on geography",
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"web_search": "Allow the model to search the web for the latest information before generating a response"
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},
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"title": "Model-specific options"
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}
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}
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},
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"stt": {
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"abort": {
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"entry_not_loaded": "Cannot add things while the configuration is disabled.",
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"reconfigure_successful": "Reconfiguration was successful"
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},
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"entry_type": "Speech-to-text",
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"initiate_flow": {
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"reconfigure": "Reconfigure speech-to-text service",
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"user": "Add speech-to-text service"
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},
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"step": {
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"init": {
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"data": {
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"chat_model": "Model",
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"name": "Name",
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"prompt": "Instructions"
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},
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"data_description": {
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"chat_model": "The model to use to transcribe speech.",
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"prompt": "Use this prompt to improve the quality of the transcripts. Translate to the pipeline language for best results. See the documentation for more details."
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}
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}
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}
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},
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"tts": {
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"abort": {
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"entry_not_loaded": "Cannot add things while the configuration is disabled.",
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"reconfigure_successful": "Reconfiguration was successful"
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},
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"entry_type": "Text-to-speech",
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"initiate_flow": {
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"reconfigure": "Reconfigure text-to-speech service",
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"user": "Add text-to-speech service"
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},
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"step": {
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"init": {
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"data": {
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"name": "Name",
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"prompt": "Instructions",
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"tts_speed": "Speed"
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},
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"data_description": {
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"prompt": "Control aspects of speech, including accent, emotional range, intonation, impressions, speed of speech, tone, whispering, and more",
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"tts_speed": "Speed of the generated speech"
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}
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}
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}
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}
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},
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"exceptions": {
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"invalid_config_entry": {
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"message": "Invalid config entry provided. Got {config_entry}"
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}
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},
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"issues": {
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"deprecated_generate_content": {
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"description": "Action 'openai_compatible.generate_content' is deprecated and will be removed in the 2026.9.0 release. Please use the 'ai_task.generate_data' action instead",
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"title": "Deprecated 'generate_content' action"
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},
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"deprecated_generate_image": {
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"description": "Action 'openai_compatible.generate_image' is deprecated and will be removed in the 2026.9.0 release. Please use the 'ai_task.generate_image' action instead",
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"title": "Deprecated 'generate_image' action"
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},
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"organization_verification_required": {
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"description": "Your organization must be verified to use this model. Please go to {platform_settings} and select Verify Organization. If you just verified, it can take up to 15 minutes for access to propagate.",
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"title": "Organization verification required"
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}
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},
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"selector": {
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"reasoning_effort": {
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"options": {
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"high": "High",
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"low": "Low",
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"max": "Max",
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"medium": "Medium",
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"minimal": "Minimal",
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"none": "None",
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"xhigh": "X-High"
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}
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},
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"reasoning_summary": {
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"options": {
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"auto": "Auto",
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"concise": "Concise",
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"detailed": "Detailed",
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"off": "Off"
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}
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},
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"search_context_size": {
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"options": {
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"high": "High",
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"low": "Low",
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"medium": "Medium"
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}
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},
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"service_tier": {
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"options": {
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"auto": "Auto",
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"default": "Standard",
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"flex": "Flex",
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"priority": "Priority"
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}
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},
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"verbosity": {
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"options": {
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"high": "High",
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"low": "Low",
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"medium": "Medium"
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}
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}
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},
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"services": {
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"generate_content": {
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"description": "Sends a conversational query to ChatGPT including any attached image or PDF files (deprecated)",
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"fields": {
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"config_entry": {
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"description": "The config entry to use for this action",
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"name": "Config entry"
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},
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"filenames": {
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"description": "List of files to upload",
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"name": "Files"
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},
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"prompt": {
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"description": "The prompt to send",
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"name": "Prompt"
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}
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},
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"name": "Generate content (deprecated)"
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},
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"generate_image": {
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"description": "Turns a prompt into an image (deprecated)",
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"fields": {
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"config_entry": {
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"description": "The config entry to use for this action",
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"name": "Config entry"
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},
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"prompt": {
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"description": "The text to turn into an image",
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"example": "A photo of a dog",
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"name": "Prompt"
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},
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"quality": {
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"description": "The quality of the image that will be generated",
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"name": "Quality"
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},
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"size": {
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"description": "The size of the image to generate",
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"name": "Size"
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},
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"style": {
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"description": "The style of the generated image",
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"name": "Style"
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}
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},
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"name": "Generate image (deprecated)"
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}
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}
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}
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@@ -0,0 +1,122 @@
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#!/usr/bin/env python3
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"""Generate translations/en.json from strings.json.
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|
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Home Assistant core builds each integration's translations/ directory from
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strings.json as a release step, resolving the `[%key:...%]` references that
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strings.json uses to avoid duplicating text. A vendored copy of a core
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integration therefore ships strings.json but no translations/ -- and
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homeassistant.helpers.translation only ever reads
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`<integration>/translations/<lang>.json`, with no fallback to strings.json.
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||||||
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Without this file every label, description and error in the config flow
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renders untranslated in the UI.
|
||||||
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||||||
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Re-run after syncing strings.json with upstream:
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||||||
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python scripts/generate_translations.py
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||||||
|
|
||||||
|
`common::` references resolve against the installed homeassistant package's
|
||||||
|
own strings.json, so the text matches what core would have produced for the
|
||||||
|
same HA version. Self-references (`component::openai_compatible::...`)
|
||||||
|
resolve against strings.json itself.
|
||||||
|
"""
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||||||
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||||||
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from __future__ import annotations
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import json
|
||||||
|
from pathlib import Path
|
||||||
|
import re
|
||||||
|
import sys
|
||||||
|
from typing import Any
|
||||||
|
|
||||||
|
DOMAIN = "openai_compatible"
|
||||||
|
COMPONENT_DIR = Path(__file__).resolve().parent.parent / "custom_components" / DOMAIN
|
||||||
|
STRINGS = COMPONENT_DIR / "strings.json"
|
||||||
|
OUTPUT = COMPONENT_DIR / "translations" / "en.json"
|
||||||
|
|
||||||
|
RE_KEY = re.compile(r"\[%key:([^%\]]+)%\]")
|
||||||
|
MAX_PASSES = 10
|
||||||
|
|
||||||
|
|
||||||
|
def core_strings() -> dict[str, Any]:
|
||||||
|
"""Return the installed homeassistant package's strings.json."""
|
||||||
|
import homeassistant
|
||||||
|
|
||||||
|
path = Path(homeassistant.__file__).parent / "strings.json"
|
||||||
|
if not path.is_file():
|
||||||
|
raise SystemExit(f"core strings.json not found at {path}")
|
||||||
|
return json.loads(path.read_text(encoding="utf-8"))
|
||||||
|
|
||||||
|
|
||||||
|
def lookup(data: dict[str, Any], parts: list[str], ref: str) -> str:
|
||||||
|
"""Walk a `::`-separated reference path, or fail loudly."""
|
||||||
|
node: Any = data
|
||||||
|
for part in parts:
|
||||||
|
if not isinstance(node, dict) or part not in node:
|
||||||
|
raise SystemExit(f"unresolvable reference: {ref} (at '{part}')")
|
||||||
|
node = node[part]
|
||||||
|
if not isinstance(node, str):
|
||||||
|
raise SystemExit(f"reference {ref} does not point at a string")
|
||||||
|
return node
|
||||||
|
|
||||||
|
|
||||||
|
def resolve_one(ref: str, own: dict[str, Any], core: dict[str, Any]) -> str:
|
||||||
|
"""Resolve a single reference body to its text."""
|
||||||
|
parts = ref.split("::")
|
||||||
|
if parts[0] == "common":
|
||||||
|
return lookup(core, parts, ref)
|
||||||
|
if parts[0] == "component":
|
||||||
|
if parts[1] != DOMAIN:
|
||||||
|
# Only core itself can resolve another integration's strings; this
|
||||||
|
# fork has no reference to one, and silently emitting the raw
|
||||||
|
# marker would ship a broken label.
|
||||||
|
raise SystemExit(f"reference to another integration: {ref}")
|
||||||
|
return lookup(own, parts[2:], ref)
|
||||||
|
raise SystemExit(f"unknown reference namespace: {ref}")
|
||||||
|
|
||||||
|
|
||||||
|
def substitute(node: Any, own: dict[str, Any], core: dict[str, Any]) -> Any:
|
||||||
|
"""Replace every `[%key:...%]` marker in a nested structure."""
|
||||||
|
if isinstance(node, dict):
|
||||||
|
return {k: substitute(v, own, core) for k, v in node.items()}
|
||||||
|
if isinstance(node, list):
|
||||||
|
return [substitute(v, own, core) for v in node]
|
||||||
|
if isinstance(node, str):
|
||||||
|
return RE_KEY.sub(lambda m: resolve_one(m.group(1), own, core), node)
|
||||||
|
return node
|
||||||
|
|
||||||
|
|
||||||
|
def build() -> dict[str, Any]:
|
||||||
|
"""Return strings.json with all references resolved."""
|
||||||
|
own = json.loads(STRINGS.read_text(encoding="utf-8"))
|
||||||
|
core = core_strings()
|
||||||
|
|
||||||
|
resolved = own
|
||||||
|
for _ in range(MAX_PASSES):
|
||||||
|
# A reference can point at a value that is itself a reference, so keep
|
||||||
|
# substituting until the result stops changing.
|
||||||
|
nxt = substitute(resolved, own, core)
|
||||||
|
if nxt == resolved:
|
||||||
|
break
|
||||||
|
resolved = nxt
|
||||||
|
else:
|
||||||
|
raise SystemExit(f"references still unresolved after {MAX_PASSES} passes")
|
||||||
|
|
||||||
|
leftover = RE_KEY.findall(json.dumps(resolved))
|
||||||
|
if leftover:
|
||||||
|
raise SystemExit(f"unresolved references remain: {sorted(set(leftover))}")
|
||||||
|
return resolved
|
||||||
|
|
||||||
|
|
||||||
|
def main() -> int:
|
||||||
|
"""Write translations/en.json."""
|
||||||
|
resolved = build()
|
||||||
|
OUTPUT.parent.mkdir(parents=True, exist_ok=True)
|
||||||
|
OUTPUT.write_text(
|
||||||
|
json.dumps(resolved, indent=2, ensure_ascii=False) + "\n", encoding="utf-8"
|
||||||
|
)
|
||||||
|
print(f"wrote {OUTPUT.relative_to(Path.cwd())}")
|
||||||
|
return 0
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
sys.exit(main())
|
||||||
@@ -0,0 +1,32 @@
|
|||||||
|
"""The shipped translations/en.json must exist and match strings.json.
|
||||||
|
|
||||||
|
Home Assistant only reads translations/<lang>.json, so a stale or missing
|
||||||
|
en.json silently degrades every label in the config flow rather than failing
|
||||||
|
loudly. strings.json is the file that gets edited (and re-synced from core),
|
||||||
|
so this guards against the two drifting apart.
|
||||||
|
"""
|
||||||
|
|
||||||
|
import json
|
||||||
|
|
||||||
|
from scripts.generate_translations import OUTPUT, build
|
||||||
|
|
||||||
|
|
||||||
|
def test_en_json_exists() -> None:
|
||||||
|
"""A vendored core integration ships no translations/ dir of its own."""
|
||||||
|
assert OUTPUT.is_file(), (
|
||||||
|
f"{OUTPUT} is missing -- run: python scripts/generate_translations.py"
|
||||||
|
)
|
||||||
|
|
||||||
|
|
||||||
|
def test_en_json_matches_strings() -> None:
|
||||||
|
"""en.json must be exactly what the generator produces from strings.json."""
|
||||||
|
shipped = json.loads(OUTPUT.read_text(encoding="utf-8"))
|
||||||
|
assert shipped == build(), (
|
||||||
|
"translations/en.json is out of sync with strings.json -- run: "
|
||||||
|
"python scripts/generate_translations.py"
|
||||||
|
)
|
||||||
|
|
||||||
|
|
||||||
|
def test_no_unresolved_key_references_shipped() -> None:
|
||||||
|
"""A surviving [%key:...%] marker would render literally in the UI."""
|
||||||
|
assert "[%key:" not in OUTPUT.read_text(encoding="utf-8")
|
||||||
Reference in new issue
Block a user