mirror of
https://github.com/smkrv/ha-text-ai.git
synced 2026-07-22 07:03:58 +08:00
157 lines
5.4 KiB
Python
157 lines
5.4 KiB
Python
"""Config flow for HA text AI integration."""
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from typing import Any, Dict, Optional
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import voluptuous as vol
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from homeassistant import config_entries
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from homeassistant.const import CONF_API_KEY
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import homeassistant.helpers.config_validation as cv
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from homeassistant.core import callback
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import openai
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from .const import (
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DOMAIN,
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CONF_MODEL,
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CONF_TEMPERATURE,
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CONF_MAX_TOKENS,
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CONF_API_ENDPOINT,
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CONF_REQUEST_INTERVAL,
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DEFAULT_MODEL,
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DEFAULT_TEMPERATURE,
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DEFAULT_MAX_TOKENS,
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DEFAULT_API_ENDPOINT,
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DEFAULT_REQUEST_INTERVAL,
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)
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import logging
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_LOGGER = logging.getLogger(__name__)
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STEP_USER_DATA_SCHEMA = vol.Schema({
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vol.Required(CONF_API_KEY): str,
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vol.Optional(CONF_MODEL, default=DEFAULT_MODEL): str,
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vol.Optional(
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CONF_TEMPERATURE,
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default=DEFAULT_TEMPERATURE
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): vol.All(vol.Coerce(float), vol.Range(min=0, max=2)),
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vol.Optional(
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CONF_MAX_TOKENS,
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default=DEFAULT_MAX_TOKENS
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): vol.All(vol.Coerce(int), vol.Range(min=1, max=4096)),
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vol.Optional(CONF_API_ENDPOINT, default=DEFAULT_API_ENDPOINT): str,
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vol.Optional(
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CONF_REQUEST_INTERVAL,
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default=DEFAULT_REQUEST_INTERVAL
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): vol.All(vol.Coerce(float), vol.Range(min=0.1)),
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})
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class HATextAIConfigFlow(config_entries.ConfigFlow, domain=DOMAIN):
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"""Handle a config flow for HA text AI."""
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VERSION = 1
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async def async_step_user(
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self,
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user_input: Optional[Dict[str, Any]] = None
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) -> Dict[str, Any]:
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"""Handle the initial step."""
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errors: Dict[str, str] = {}
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if user_input is not None:
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try:
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# Create OpenAI client
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client = openai.OpenAI(
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api_key=user_input[CONF_API_KEY],
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base_url=user_input.get(CONF_API_ENDPOINT, DEFAULT_API_ENDPOINT)
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)
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# Verify API connection and model availability
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models = await self.hass.async_add_executor_job(client.models.list)
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model_ids = [model.id for model in models.data]
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if user_input[CONF_MODEL] not in model_ids:
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_LOGGER.warning(
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"Selected model %s not found in available models: %s",
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user_input[CONF_MODEL],
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", ".join(model_ids)
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)
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errors["base"] = "invalid_model"
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else:
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await self.async_set_unique_id(user_input[CONF_API_KEY])
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self._abort_if_unique_id_configured()
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return self.async_create_entry(
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title="HA text AI",
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data=user_input
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)
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except openai.AuthenticationError as err:
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_LOGGER.error("Authentication failed: %s", str(err))
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errors["base"] = "invalid_auth"
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except openai.APIError as err:
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_LOGGER.error("API connection failed: %s", str(err))
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errors["base"] = "cannot_connect"
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except Exception as err: # pylint: disable=broad-except
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_LOGGER.exception("Unexpected error: %s", str(err))
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errors["base"] = "unknown"
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return self.async_show_form(
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step_id="user",
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data_schema=STEP_USER_DATA_SCHEMA,
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errors=errors,
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description_placeholders={
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"default_model": DEFAULT_MODEL,
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"default_endpoint": DEFAULT_API_ENDPOINT,
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}
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)
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@staticmethod
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@callback
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def async_get_options_flow(
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config_entry: config_entries.ConfigEntry,
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) -> config_entries.OptionsFlow:
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"""Get the options flow for this handler."""
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return OptionsFlowHandler(config_entry)
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class OptionsFlowHandler(config_entries.OptionsFlow):
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"""Handle options flow for HA text AI."""
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def __init__(self, config_entry: config_entries.ConfigEntry) -> None:
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"""Initialize options flow."""
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self.config_entry = config_entry
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async def async_step_init(
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self,
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user_input: Optional[Dict[str, Any]] = None
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) -> Dict[str, Any]:
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"""Handle options flow."""
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if user_input is not None:
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return self.async_create_entry(title="", data=user_input)
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options_schema = vol.Schema({
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vol.Optional(
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CONF_TEMPERATURE,
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default=self.config_entry.options.get(
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CONF_TEMPERATURE, DEFAULT_TEMPERATURE
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),
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description={"suggested_value": DEFAULT_TEMPERATURE},
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): vol.All(vol.Coerce(float), vol.Range(min=0, max=2)),
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vol.Optional(
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CONF_MAX_TOKENS,
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default=self.config_entry.options.get(
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CONF_MAX_TOKENS, DEFAULT_MAX_TOKENS
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),
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description={"suggested_value": DEFAULT_MAX_TOKENS},
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): vol.All(vol.Coerce(int), vol.Range(min=1, max=4096)),
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vol.Optional(
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CONF_REQUEST_INTERVAL,
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default=self.config_entry.options.get(
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CONF_REQUEST_INTERVAL, DEFAULT_REQUEST_INTERVAL
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),
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description={"suggested_value": DEFAULT_REQUEST_INTERVAL},
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): vol.All(vol.Coerce(float), vol.Range(min=0.1)),
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})
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return self.async_show_form(
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step_id="init",
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data_schema=options_schema,
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)
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