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Deploy AI Studio Proxy API to Hugging Face Spaces
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"""
Model State Initialization and Synchronization
"""
import asyncio
import json
import logging
from playwright.async_api import Page as AsyncPage
from playwright.async_api import expect as expect_async
from config import INPUT_SELECTOR, MODEL_NAME_SELECTOR
from .ui_state import _verify_and_apply_ui_state, _verify_ui_state_settings
logger = logging.getLogger("AIStudioProxyServer")
async def _handle_initial_model_state_and_storage(page: AsyncPage):
"""Handle initial model state and storage"""
from api_utils.server_state import state
getattr(state, "current_ai_studio_model_id", None)
getattr(state, "parsed_model_list", [])
getattr(state, "model_list_fetch_event", None)
logger.debug("[Init] Processing initial model state and localStorage...")
needs_reload_and_storage_update = False
reason_for_reload = ""
try:
initial_prefs_str = await page.evaluate(
"() => localStorage.getItem('aiStudioUserPreference')"
)
if not initial_prefs_str:
needs_reload_and_storage_update = True
reason_for_reload = "localStorage not found"
else:
try:
pref_obj = json.loads(initial_prefs_str)
prompt_model_path = pref_obj.get("promptModel")
pref_obj.get("isAdvancedOpen")
is_prompt_model_valid = (
isinstance(prompt_model_path, str) and prompt_model_path.strip()
)
if not is_prompt_model_valid:
needs_reload_and_storage_update = True
reason_for_reload = "promptModel invalid"
else:
# Use new UI state verification
ui_state = await _verify_ui_state_settings(page, "initial")
if ui_state["needsUpdate"]:
needs_reload_and_storage_update = True
reason_for_reload = "UI state mismatch"
else:
state.current_ai_studio_model_id = prompt_model_path.split("/")[
-1
]
logger.debug(
f"localStorage valid and UI state correct. Initial model ID set from localStorage: {state.current_ai_studio_model_id}"
)
except json.JSONDecodeError:
needs_reload_and_storage_update = True
reason_for_reload = (
"Failed to parse localStorage.aiStudioUserPreference JSON."
)
logger.error(
f"Determined refresh and storage update needed: {reason_for_reload}"
)
if needs_reload_and_storage_update:
logger.debug(f"[State] Refresh needed: {reason_for_reload}")
await _set_model_from_page_display(page, set_storage=True)
current_page_url = page.url
logger.info("[UI Operation] Reloading page to apply settings...")
max_retries = 3
for attempt in range(max_retries):
try:
logger.debug(
f"Attempting page reload (attempt {attempt + 1}/{max_retries}): {current_page_url}"
)
await page.goto(
current_page_url, wait_until="domcontentloaded", timeout=40000
)
await expect_async(page.locator(INPUT_SELECTOR)).to_be_visible(
timeout=30000
)
logger.debug(f"Page successfully reloaded to: {page.url}")
# Verify UI state after page reload
logger.debug("[State] Verifying UI state...")
reload_ui_state_success = await _verify_and_apply_ui_state(
page, "reload"
)
if reload_ui_state_success:
logger.info("[UI Check] Verification passed after page reload")
else:
logger.warning("UI state verification failed after reload")
break # Exit loop on success
except asyncio.CancelledError:
raise
except Exception as reload_err:
logger.warning(
f"Page reload attempt {attempt + 1}/{max_retries} failed: {reload_err}"
)
if attempt < max_retries - 1:
logger.debug("[Init] Retrying in 5 seconds...")
await asyncio.sleep(5)
else:
logger.error(
f"Page reload ultimately failed after {max_retries} attempts: {reload_err}. Subsequent model state may be inaccurate.",
exc_info=True,
)
from browser_utils.operations import save_error_snapshot
await save_error_snapshot(
f"initial_storage_reload_fail_attempt_{attempt + 1}"
)
logger.debug("[State] Syncing model ID after reload")
await _set_model_from_page_display(page, set_storage=False)
logger.debug(
f"[State] Complete, current model: {state.current_ai_studio_model_id}"
)
else:
logger.debug("[State] localStorage state OK, no refresh needed")
except asyncio.CancelledError:
raise
except Exception as e:
logger.error(
f"(New) Critical error processing initial model state and localStorage: {e}",
exc_info=True,
)
try:
logger.warning(
"Due to error, attempting fallback to set global model ID from page display only (not writing to localStorage)..."
)
await _set_model_from_page_display(page, set_storage=False)
except asyncio.CancelledError:
raise
except Exception as fallback_err:
logger.error(f"Fallback model ID setting also failed: {fallback_err}")
async def _set_model_from_page_display(page: AsyncPage, set_storage: bool = False):
"""Set model from page display"""
from api_utils.server_state import state
getattr(state, "current_ai_studio_model_id", None)
getattr(state, "parsed_model_list", [])
model_list_fetch_event = getattr(state, "model_list_fetch_event", None)
try:
logger.debug("[Model] Reading current model from page display...")
model_name_locator = page.locator(MODEL_NAME_SELECTOR)
displayed_model_name_from_page_raw = await model_name_locator.first.inner_text(
timeout=7000
)
displayed_model_name = displayed_model_name_from_page_raw.strip()
logger.debug(f"[Model] Page display: '{displayed_model_name}'")
found_model_id_from_display = None
if model_list_fetch_event and not model_list_fetch_event.is_set():
logger.debug("[Model] Waiting for model list data (up to 5 seconds)...")
try:
await asyncio.wait_for(model_list_fetch_event.wait(), timeout=5.0)
except asyncio.TimeoutError:
logger.warning(
"Timeout waiting for model list, may not be able to accurately convert display name to ID."
)
found_model_id_from_display = displayed_model_name
new_model_value = found_model_id_from_display
if state.current_ai_studio_model_id != new_model_value:
state.current_ai_studio_model_id = new_model_value
logger.debug(f"[Model] Global ID updated: {new_model_value}")
# No log needed if unchanged
if set_storage:
logger.debug("[State] Preparing to update localStorage")
existing_prefs_for_update_str = await page.evaluate(
"() => localStorage.getItem('aiStudioUserPreference')"
)
prefs_to_set = {}
if existing_prefs_for_update_str:
try:
prefs_to_set = json.loads(existing_prefs_for_update_str)
except json.JSONDecodeError:
logger.warning(
"Failed to parse existing localStorage.aiStudioUserPreference, will create new preferences."
)
# Use new force settings feature
logger.debug("[State] Applying forced UI state settings...")
ui_state_success = await _verify_and_apply_ui_state(page, "set_model")
if not ui_state_success:
logger.warning("UI state setting failed, using legacy method")
prefs_to_set["isAdvancedOpen"] = True
prefs_to_set["areToolsOpen"] = True
else:
# Ensure prefs_to_set also contains correct settings
prefs_to_set["isAdvancedOpen"] = True
prefs_to_set["areToolsOpen"] = True
logger.debug("[State] Set: isAdvancedOpen=true, areToolsOpen=true")
if found_model_id_from_display:
new_prompt_model_path = f"models/{found_model_id_from_display}"
prefs_to_set["promptModel"] = new_prompt_model_path
elif "promptModel" not in prefs_to_set:
logger.warning(
f"Could not find model ID from page display '{displayed_model_name}', and no existing promptModel in localStorage. promptModel will not be actively set to avoid potential issues."
)
default_keys_if_missing = {
"bidiModel": "models/gemini-1.0-pro-001",
"isSafetySettingsOpen": False,
"hasShownSearchGroundingTos": False,
"autosaveEnabled": True,
"theme": "system",
"bidiOutputFormat": 3,
"isSystemInstructionsOpen": False,
"warmWelcomeDisplayed": True,
"getCodeLanguage": "Node.js",
"getCodeHistoryToggle": False,
"fileCopyrightAcknowledged": True,
}
for key, val_default in default_keys_if_missing.items():
if key not in prefs_to_set:
prefs_to_set[key] = val_default
await page.evaluate(
"(prefsStr) => localStorage.setItem('aiStudioUserPreference', prefsStr)",
json.dumps(prefs_to_set),
)
logger.debug(
f"[State] localStorage updated (model: {prefs_to_set.get('promptModel', 'N/A')})"
)
except asyncio.CancelledError:
raise
except Exception as e_set_disp:
logger.error(
f"Error setting model from page display: {e_set_disp}", exc_info=True
)