mirror of
https://github.com/smkrv/ha-text-ai.git
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Phase A — Critical: - Remove dual timeout stacking in coordinator._send_to_api - Add Gemini-specific asyncio.timeout (sync SDK via to_thread) - Store full text in history for context; cap per-field at 32KB on disk - Fix instance lookup to match by normalized_name - Add Bearer/sk-/x-api-key credential sanitization patterns Phase B — Dead code removal: - Merge async_ask_question/async_process_question into single method - Remove dead is_anthropic flag from coordinator and __init__ - Remove unused DEFAULT_TIMEOUT and API_TIMEOUT constants - Remove redundant _create_history_dir calls - Consolidate async_check_api to use provider registry Phase C — Config flow correctness: - Truncate name before uniqueness check (prevent post-truncation collisions) - Add async_set_unique_id + _abort_if_unique_id_configured - Extract shared _build_parameter_schema for ConfigFlow/OptionsFlow dedup Phase D — UX improvements: - Optimize history write: serialize from memory, single file write - Show last 5 history entries in sensor attributes (was 1) - Return actual error type in ask_question service response - Add dedicated api_key_required error for provider/endpoint changes - Pass config_entry to DataUpdateCoordinator (HA 2024.8+) Phase E — Cleanup: - Extract _apply_structured_output for OpenAI/DeepSeek dedup - Reduce ABSOLUTE_MAX_HISTORY_SIZE to 200 with Final annotation - Remove dead translation keys (queued, invalid_characters) - Migrate to _attr_has_entity_name = True - Add from __future__ import annotations to all modules - Remove redundant api_status sensor attribute - Add missing translation keys (last_model, last_timestamp, etc.) Review agent fixes: - Add archive file cleanup (max 3 archives) to prevent disk exhaustion - Per-entry storage cap (32KB per field) for history on disk
98 lines
2.9 KiB
Python
98 lines
2.9 KiB
Python
"""
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Provider registry for HA Text AI integration.
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Centralizes provider-specific configuration to avoid dispatch duplication
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across __init__.py, config_flow.py, and api_client.py.
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@license: CC BY-NC-SA 4.0 International
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@author: SMKRV
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@github: https://github.com/smkrv/ha-text-ai
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@source: https://github.com/smkrv/ha-text-ai
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"""
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from __future__ import annotations
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from typing import Any
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from .const import (
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API_PROVIDER_OPENAI,
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API_PROVIDER_ANTHROPIC,
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API_PROVIDER_DEEPSEEK,
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API_PROVIDER_GEMINI,
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DEFAULT_MODEL,
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DEFAULT_ANTHROPIC_MODEL,
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DEFAULT_DEEPSEEK_MODEL,
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DEFAULT_GEMINI_MODEL,
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DEFAULT_OPENAI_ENDPOINT,
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DEFAULT_ANTHROPIC_ENDPOINT,
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DEFAULT_DEEPSEEK_ENDPOINT,
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DEFAULT_GEMINI_ENDPOINT,
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)
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PROVIDER_REGISTRY: dict[str, dict[str, Any]] = {
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API_PROVIDER_OPENAI: {
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"default_model": DEFAULT_MODEL,
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"default_endpoint": DEFAULT_OPENAI_ENDPOINT,
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"auth_header": "Authorization",
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"auth_prefix": "Bearer ",
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"check_path": "/models",
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},
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API_PROVIDER_ANTHROPIC: {
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"default_model": DEFAULT_ANTHROPIC_MODEL,
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"default_endpoint": DEFAULT_ANTHROPIC_ENDPOINT,
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"auth_header": "x-api-key",
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"auth_prefix": "",
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"check_path": "/v1/models",
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"extra_headers": {
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"anthropic-version": "2023-06-01",
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},
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},
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API_PROVIDER_DEEPSEEK: {
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"default_model": DEFAULT_DEEPSEEK_MODEL,
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"default_endpoint": DEFAULT_DEEPSEEK_ENDPOINT,
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"auth_header": "Authorization",
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"auth_prefix": "Bearer ",
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"check_path": "/models",
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},
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API_PROVIDER_GEMINI: {
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"default_model": DEFAULT_GEMINI_MODEL,
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"default_endpoint": DEFAULT_GEMINI_ENDPOINT,
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"auth_header": "Authorization",
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"auth_prefix": "Bearer ",
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"check_path": None, # Gemini does not support /models check
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},
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}
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def get_provider_config(provider: str) -> dict[str, Any]:
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"""Get full provider configuration.
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Raises ValueError for unknown providers to avoid sending
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credentials to the wrong endpoint.
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"""
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if provider not in PROVIDER_REGISTRY:
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raise ValueError(f"Unknown API provider: {provider}")
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return PROVIDER_REGISTRY[provider]
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def get_default_endpoint(provider: str) -> str:
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"""Get default API endpoint for a provider."""
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return get_provider_config(provider)["default_endpoint"]
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def get_default_model(provider: str) -> str:
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"""Get default model for a provider."""
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return get_provider_config(provider)["default_model"]
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def build_auth_headers(provider: str, api_key: str) -> dict[str, str]:
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"""Build authentication headers for a provider."""
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config = get_provider_config(provider)
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headers = {
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"Content-Type": "application/json",
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"Accept": "application/json",
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}
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headers[config["auth_header"]] = f"{config['auth_prefix']}{api_key}"
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if "extra_headers" in config:
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headers.update(config["extra_headers"])
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return headers
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