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ha-text-ai/custom_components/ha_text_ai/config_flow.py
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2024-11-21 18:30:35 +03:00

196 lines
7.1 KiB
Python

"""Config flow for HA text AI integration."""
from typing import Any, Dict, Optional, Tuple
import voluptuous as vol
import asyncio
import aiohttp
from async_timeout import timeout
from urllib.parse import urlparse, urljoin
from homeassistant import config_entries
from homeassistant.const import CONF_API_KEY
import homeassistant.helpers.config_validation as cv
from homeassistant.core import callback
from homeassistant.data_entry_flow import FlowResult
from homeassistant.helpers.aiohttp_client import async_get_clientsession
from .const import (
DOMAIN,
CONF_MODEL,
CONF_TEMPERATURE,
CONF_MAX_TOKENS,
CONF_API_ENDPOINT,
CONF_REQUEST_INTERVAL,
DEFAULT_MODEL,
DEFAULT_TEMPERATURE,
DEFAULT_MAX_TOKENS,
DEFAULT_API_ENDPOINT,
DEFAULT_REQUEST_INTERVAL,
MIN_TEMPERATURE,
MAX_TEMPERATURE,
MIN_MAX_TOKENS,
MAX_MAX_TOKENS,
MIN_REQUEST_INTERVAL,
API_VERSION,
API_MODELS_PATH,
ERROR_INVALID_API_KEY,
ERROR_CANNOT_CONNECT,
ERROR_UNKNOWN,
ERROR_INVALID_MODEL,
ERROR_RATE_LIMIT,
ERROR_API_ERROR,
ERROR_TIMEOUT,
)
import logging
_LOGGER = logging.getLogger(__name__)
STEP_USER_DATA_SCHEMA = vol.Schema({
vol.Required(CONF_API_KEY): str,
vol.Optional(CONF_MODEL, default=DEFAULT_MODEL): str,
vol.Optional(CONF_TEMPERATURE, default=DEFAULT_TEMPERATURE): float,
vol.Optional(CONF_MAX_TOKENS, default=DEFAULT_MAX_TOKENS): int,
vol.Optional(CONF_API_ENDPOINT, default=DEFAULT_API_ENDPOINT): str,
vol.Optional(CONF_REQUEST_INTERVAL, default=DEFAULT_REQUEST_INTERVAL): float,
})
# Функция validate_api_connection остается без изменений
class HATextAIConfigFlow(config_entries.ConfigFlow, domain=DOMAIN):
"""Handle a config flow for HA text AI."""
VERSION = 1
async def async_step_user(
self,
user_input: Optional[Dict[str, Any]] = None
) -> FlowResult:
"""Handle the initial step."""
errors: Dict[str, str] = {}
if user_input is not None:
try:
# Валидация значений
if not MIN_TEMPERATURE <= user_input[CONF_TEMPERATURE] <= MAX_TEMPERATURE:
errors["base"] = "invalid_temperature"
elif not MIN_MAX_TOKENS <= user_input[CONF_MAX_TOKENS] <= MAX_MAX_TOKENS:
errors["base"] = "invalid_max_tokens"
elif user_input[CONF_REQUEST_INTERVAL] < MIN_REQUEST_INTERVAL:
errors["base"] = "invalid_request_interval"
else:
endpoint = user_input[CONF_API_ENDPOINT]
try:
result = urlparse(endpoint)
if not all([result.scheme, result.netloc]):
errors["base"] = "invalid_url_format"
else:
is_valid, error_code, available_models = await validate_api_connection(
self.hass,
user_input[CONF_API_KEY],
endpoint,
user_input[CONF_MODEL]
)
if is_valid:
await self.async_set_unique_id(user_input[CONF_API_KEY])
self._abort_if_unique_id_configured()
return self.async_create_entry(
title="HA Text AI",
data=user_input
)
errors["base"] = error_code
if error_code == ERROR_INVALID_MODEL:
_LOGGER.warning(
"Selected model %s not found in available models: %s",
user_input[CONF_MODEL],
", ".join(available_models)
)
except Exception as e:
_LOGGER.error("URL parsing error: %s", str(e))
errors["base"] = "invalid_url_format"
except Exception as err:
_LOGGER.error("Validation error: %s", str(err))
errors["base"] = "unknown"
return self.async_show_form(
step_id="user",
data_schema=STEP_USER_DATA_SCHEMA,
errors=errors,
description_placeholders={
"default_model": DEFAULT_MODEL,
"default_endpoint": DEFAULT_API_ENDPOINT,
}
)
@staticmethod
@callback
def async_get_options_flow(
config_entry: config_entries.ConfigEntry,
) -> config_entries.OptionsFlow:
"""Get the options flow for this handler."""
return OptionsFlowHandler(config_entry)
class OptionsFlowHandler(config_entries.OptionsFlow):
"""Handle options flow for HA text AI."""
def __init__(self, config_entry: config_entries.ConfigEntry) -> None:
"""Initialize options flow."""
self.config_entry = config_entry
async def async_step_init(
self,
user_input: Optional[Dict[str, Any]] = None
) -> FlowResult:
"""Handle options flow."""
if user_input is not None:
# Validate options values
errors: Dict[str, str] = {}
try:
if not MIN_TEMPERATURE <= user_input[CONF_TEMPERATURE] <= MAX_TEMPERATURE:
errors["base"] = "invalid_temperature"
elif not MIN_MAX_TOKENS <= user_input[CONF_MAX_TOKENS] <= MAX_MAX_TOKENS:
errors["base"] = "invalid_max_tokens"
elif user_input[CONF_REQUEST_INTERVAL] < MIN_REQUEST_INTERVAL:
errors["base"] = "invalid_request_interval"
else:
return self.async_create_entry(title="", data=user_input)
except Exception as err:
_LOGGER.error("Options validation error: %s", str(err))
errors["base"] = "unknown"
if errors:
return self.async_show_form(
step_id="init",
data_schema=self._get_options_schema(),
errors=errors
)
return self.async_show_form(
step_id="init",
data_schema=self._get_options_schema(),
)
def _get_options_schema(self) -> vol.Schema:
"""Get options schema."""
return vol.Schema({
vol.Optional(
CONF_TEMPERATURE,
default=self.config_entry.options.get(
CONF_TEMPERATURE, DEFAULT_TEMPERATURE
)
): float,
vol.Optional(
CONF_MAX_TOKENS,
default=self.config_entry.options.get(
CONF_MAX_TOKENS, DEFAULT_MAX_TOKENS
)
): int,
vol.Optional(
CONF_REQUEST_INTERVAL,
default=self.config_entry.options.get(
CONF_REQUEST_INTERVAL, DEFAULT_REQUEST_INTERVAL
)
): float
})