File size: 26,193 Bytes
ac029f2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
# --- browser_utils/model_management.py ---
# 浏览器模型管理相关功能模块

import asyncio
import json
import os
import logging
import time
from typing import Optional, Set

from playwright.async_api import Page as AsyncPage, expect as expect_async, Error as PlaywrightAsyncError

# 导入配置和模型
from config import *
from models import ClientDisconnectedError

logger = logging.getLogger("AIStudioProxyServer")

async def switch_ai_studio_model(page: AsyncPage, model_id: str, req_id: str) -> bool:
    """切换AI Studio模型"""
    logger.info(f"[{req_id}] 开始切换模型到: {model_id}")
    original_prefs_str: Optional[str] = None
    original_prompt_model: Optional[str] = None
    new_chat_url = f"https://{AI_STUDIO_URL_PATTERN}prompts/new_chat"
    
    try:
        original_prefs_str = await page.evaluate("() => localStorage.getItem('aiStudioUserPreference')")
        if original_prefs_str:
            try:
                original_prefs_obj = json.loads(original_prefs_str)
                original_prompt_model = original_prefs_obj.get("promptModel")
                logger.info(f"[{req_id}] 切换前 localStorage.promptModel 为: {original_prompt_model or '未设置'}")
            except json.JSONDecodeError:
                logger.warning(f"[{req_id}] 无法解析原始的 aiStudioUserPreference JSON 字符串。")
                original_prefs_str = None
        
        current_prefs_for_modification = json.loads(original_prefs_str) if original_prefs_str else {}
        full_model_path = f"models/{model_id}"
        
        if current_prefs_for_modification.get("promptModel") == full_model_path:
            logger.info(f"[{req_id}] 模型已经设置为 {model_id} (localStorage 中已是目标值),无需切换")
            if page.url != new_chat_url:
                 logger.info(f"[{req_id}] 当前 URL 不是 new_chat ({page.url}),导航到 {new_chat_url}")
                 await page.goto(new_chat_url, wait_until="domcontentloaded", timeout=30000)
                 await expect_async(page.locator(INPUT_SELECTOR)).to_be_visible(timeout=30000)
            return True
        
        logger.info(f"[{req_id}] 从 {current_prefs_for_modification.get('promptModel', '未知')} 更新 localStorage.promptModel 为 {full_model_path}")
        current_prefs_for_modification["promptModel"] = full_model_path
        await page.evaluate("(prefsStr) => localStorage.setItem('aiStudioUserPreference', prefsStr)", json.dumps(current_prefs_for_modification))
        
        # 强制设置配置选项
        logger.info(f"[{req_id}] 强制设置配置选项:isAdvancedOpen=true, areToolsOpen=false")
        current_prefs_for_modification["isAdvancedOpen"] = True
        current_prefs_for_modification["areToolsOpen"] = False
        await page.evaluate("(prefsStr) => localStorage.setItem('aiStudioUserPreference', prefsStr)", json.dumps(current_prefs_for_modification))

        logger.info(f"[{req_id}] localStorage 已更新,导航到 '{new_chat_url}' 应用新模型...")
        await page.goto(new_chat_url, wait_until="domcontentloaded", timeout=30000)

        input_field = page.locator(INPUT_SELECTOR)
        await expect_async(input_field).to_be_visible(timeout=30000)
        logger.info(f"[{req_id}] 页面已导航到新聊天并加载完成,输入框可见")
        
        final_prefs_str = await page.evaluate("() => localStorage.getItem('aiStudioUserPreference')")
        final_prompt_model_in_storage: Optional[str] = None
        if final_prefs_str:
            try:
                final_prefs_obj = json.loads(final_prefs_str)
                final_prompt_model_in_storage = final_prefs_obj.get("promptModel")
            except json.JSONDecodeError:
                logger.warning(f"[{req_id}] 无法解析刷新后的 aiStudioUserPreference JSON 字符串。")
        
        if final_prompt_model_in_storage == full_model_path:
            logger.info(f"[{req_id}] ✅ AI Studio localStorage 中模型已成功设置为: {full_model_path}")
            
            page_display_match = False
            expected_display_name_for_target_id = None
            actual_displayed_model_name_on_page = "无法读取"
            
            # 获取parsed_model_list
            import server
            parsed_model_list = getattr(server, 'parsed_model_list', [])
            
            if parsed_model_list:
                for m_obj in parsed_model_list:
                    if m_obj.get("id") == model_id:
                        expected_display_name_for_target_id = m_obj.get("display_name")
                        break
            
            if not expected_display_name_for_target_id:
                logger.warning(f"[{req_id}] 无法在parsed_model_list中找到目标ID '{model_id}' 的显示名称,跳过页面显示名称验证。这可能不准确。")
                page_display_match = True
            else:
                try:
                    model_name_locator = page.locator('mat-select[data-test-ms-model-selector] div.model-option-content span.gmat-body-medium')
                    actual_displayed_model_name_on_page_raw = await model_name_locator.first.inner_text(timeout=5000)
                    actual_displayed_model_name_on_page = actual_displayed_model_name_on_page_raw.strip()
                    normalized_actual_display = actual_displayed_model_name_on_page.lower()
                    normalized_expected_display = expected_display_name_for_target_id.strip().lower()
                    
                    if normalized_actual_display == normalized_expected_display:
                        page_display_match = True
                        logger.info(f"[{req_id}] ✅ 页面显示模型 ('{actual_displayed_model_name_on_page}') 与期望 ('{expected_display_name_for_target_id}') 一致。")
                    else:
                        logger.error(f"[{req_id}] ❌ 页面显示模型 ('{actual_displayed_model_name_on_page}') 与期望 ('{expected_display_name_for_target_id}') 不一致。(Raw page: '{actual_displayed_model_name_on_page_raw}')")
                except Exception as e_disp:
                    logger.warning(f"[{req_id}] 读取页面显示的当前模型名称时出错: {e_disp}。将无法验证页面显示。")
            
            if page_display_match:
                return True
            else:
                logger.error(f"[{req_id}] ❌ 模型切换失败,因为页面显示的模型与期望不符 (即使localStorage可能已更改)。")
        else:
            logger.error(f"[{req_id}] ❌ AI Studio 未接受模型更改 (localStorage)。期望='{full_model_path}', 实际='{final_prompt_model_in_storage or '未设置或无效'}'.")
        
        logger.info(f"[{req_id}] 模型切换失败。尝试恢复到页面当前实际显示的模型的状态...")
        current_displayed_name_for_revert_raw = "无法读取"
        current_displayed_name_for_revert_stripped = "无法读取"
        
        try:
            model_name_locator_revert = page.locator('mat-select[data-test-ms-model-selector] div.model-option-content span.gmat-body-medium')
            current_displayed_name_for_revert_raw = await model_name_locator_revert.first.inner_text(timeout=5000)
            current_displayed_name_for_revert_stripped = current_displayed_name_for_revert_raw.strip()
            logger.info(f"[{req_id}] 恢复:页面当前显示的模型名称 (原始: '{current_displayed_name_for_revert_raw}', 清理后: '{current_displayed_name_for_revert_stripped}')")
        except Exception as e_read_disp_revert:
            logger.warning(f"[{req_id}] 恢复:读取页面当前显示模型名称失败: {e_read_disp_revert}。将尝试回退到原始localStorage。")
            if original_prefs_str:
                logger.info(f"[{req_id}] 恢复:由于无法读取当前页面显示,尝试将 localStorage 恢复到原始状态: '{original_prompt_model or '未设置'}'")
                await page.evaluate("(origPrefs) => localStorage.setItem('aiStudioUserPreference', origPrefs)", original_prefs_str)
                logger.info(f"[{req_id}] 恢复:导航到 '{new_chat_url}' 以应用恢复的原始 localStorage 设置...")
                await page.goto(new_chat_url, wait_until="domcontentloaded", timeout=20000)
                await expect_async(page.locator(INPUT_SELECTOR)).to_be_visible(timeout=20000)
                logger.info(f"[{req_id}] 恢复:页面已导航到新聊天并加载,已尝试应用原始 localStorage。")
            else:
                logger.warning(f"[{req_id}] 恢复:无有效的原始 localStorage 状态可恢复,也无法读取当前页面显示。")
            return False
        
        model_id_to_revert_to = None
        if parsed_model_list and current_displayed_name_for_revert_stripped != "无法读取":
            normalized_current_display_for_revert = current_displayed_name_for_revert_stripped.lower()
            for m_obj in parsed_model_list:
                parsed_list_display_name = m_obj.get("display_name", "").strip().lower()
                if parsed_list_display_name == normalized_current_display_for_revert:
                    model_id_to_revert_to = m_obj.get("id")
                    logger.info(f"[{req_id}] 恢复:页面显示名称 '{current_displayed_name_for_revert_stripped}' 对应模型ID: {model_id_to_revert_to}")
                    break
            
            if not model_id_to_revert_to:
                logger.warning(f"[{req_id}] 恢复:无法在 parsed_model_list 中找到与页面显示名称 '{current_displayed_name_for_revert_stripped}' 匹配的模型ID。")
        else:
            if current_displayed_name_for_revert_stripped == "无法读取":
                 logger.warning(f"[{req_id}] 恢复:因无法读取页面显示名称,故不能从 parsed_model_list 转换ID。")
            else:
                 logger.warning(f"[{req_id}] 恢复:parsed_model_list 为空,无法从显示名称 '{current_displayed_name_for_revert_stripped}' 转换模型ID。")
        
        if model_id_to_revert_to:
            base_prefs_for_final_revert = {}
            try:
                current_ls_content_str = await page.evaluate("() => localStorage.getItem('aiStudioUserPreference')")
                if current_ls_content_str:
                    base_prefs_for_final_revert = json.loads(current_ls_content_str)
                elif original_prefs_str:
                    base_prefs_for_final_revert = json.loads(original_prefs_str)
            except json.JSONDecodeError:
                logger.warning(f"[{req_id}] 恢复:解析现有 localStorage 以构建恢复偏好失败。")
            
            path_to_revert_to = f"models/{model_id_to_revert_to}"
            base_prefs_for_final_revert["promptModel"] = path_to_revert_to
            # 强制设置配置选项
            base_prefs_for_final_revert["isAdvancedOpen"] = True
            base_prefs_for_final_revert["areToolsOpen"] = False
            logger.info(f"[{req_id}] 恢复:准备将 localStorage.promptModel 设置回页面实际显示的模型的路径: '{path_to_revert_to}',并强制设置配置选项")
            await page.evaluate("(prefsStr) => localStorage.setItem('aiStudioUserPreference', prefsStr)", json.dumps(base_prefs_for_final_revert))
            logger.info(f"[{req_id}] 恢复:导航到 '{new_chat_url}' 以应用恢复到 '{model_id_to_revert_to}' 的 localStorage 设置...")
            await page.goto(new_chat_url, wait_until="domcontentloaded", timeout=30000)
            await expect_async(page.locator(INPUT_SELECTOR)).to_be_visible(timeout=30000)
            logger.info(f"[{req_id}] 恢复:页面已导航到新聊天并加载。localStorage 应已设置为反映模型 '{model_id_to_revert_to}'。")
        else:
            logger.error(f"[{req_id}] 恢复:无法将模型恢复到页面显示的状态,因为未能从显示名称 '{current_displayed_name_for_revert_stripped}' 确定有效模型ID。")
            if original_prefs_str:
                logger.warning(f"[{req_id}] 恢复:作为最终后备,尝试恢复到原始 localStorage: '{original_prompt_model or '未设置'}'")
                await page.evaluate("(origPrefs) => localStorage.setItem('aiStudioUserPreference', origPrefs)", original_prefs_str)
                logger.info(f"[{req_id}] 恢复:导航到 '{new_chat_url}' 以应用最终后备的原始 localStorage。")
                await page.goto(new_chat_url, wait_until="domcontentloaded", timeout=20000)
                await expect_async(page.locator(INPUT_SELECTOR)).to_be_visible(timeout=20000)
                logger.info(f"[{req_id}] 恢复:页面已导航到新聊天并加载,已应用最终后备的原始 localStorage。")
            else:
                logger.warning(f"[{req_id}] 恢复:无有效的原始 localStorage 状态可作为最终后备。")
        
        return False
        
    except Exception as e:
        logger.exception(f"[{req_id}] ❌ 切换模型过程中发生严重错误")
        # 导入save_error_snapshot函数
        from .operations import save_error_snapshot
        await save_error_snapshot(f"model_switch_error_{req_id}")
        try:
            if original_prefs_str:
                logger.info(f"[{req_id}] 发生异常,尝试恢复 localStorage 至: {original_prompt_model or '未设置'}")
                await page.evaluate("(origPrefs) => localStorage.setItem('aiStudioUserPreference', origPrefs)", original_prefs_str)
                logger.info(f"[{req_id}] 异常恢复:导航到 '{new_chat_url}' 以应用恢复的 localStorage。")
                await page.goto(new_chat_url, wait_until="domcontentloaded", timeout=15000)
                await expect_async(page.locator(INPUT_SELECTOR)).to_be_visible(timeout=15000)
        except Exception as recovery_err:
            logger.error(f"[{req_id}] 异常后恢复 localStorage 失败: {recovery_err}")
        return False

def load_excluded_models(filename: str):
    """加载排除的模型列表"""
    import server
    excluded_model_ids = getattr(server, 'excluded_model_ids', set())
    
    excluded_file_path = os.path.join(os.path.dirname(__file__), '..', filename)
    try:
        if os.path.exists(excluded_file_path):
            with open(excluded_file_path, 'r', encoding='utf-8') as f:
                loaded_ids = {line.strip() for line in f if line.strip()}
            if loaded_ids:
                excluded_model_ids.update(loaded_ids)
                server.excluded_model_ids = excluded_model_ids
                logger.info(f"✅ 从 '{filename}' 加载了 {len(loaded_ids)} 个模型到排除列表: {excluded_model_ids}")
            else:
                logger.info(f"'{filename}' 文件为空或不包含有效的模型 ID,排除列表未更改。")
        else:
            logger.info(f"模型排除列表文件 '{filename}' 未找到,排除列表为空。")
    except Exception as e:
        logger.error(f"❌ 从 '{filename}' 加载排除模型列表时出错: {e}", exc_info=True)

async def _handle_initial_model_state_and_storage(page: AsyncPage):
    """处理初始模型状态和存储"""
    import server
    current_ai_studio_model_id = getattr(server, 'current_ai_studio_model_id', None)
    parsed_model_list = getattr(server, 'parsed_model_list', [])
    model_list_fetch_event = getattr(server, 'model_list_fetch_event', None)
    
    logger.info("--- (新) 处理初始模型状态, localStorage 和 isAdvancedOpen ---")
    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.aiStudioUserPreference 未找到。"
            logger.info(f"   判定需要刷新和存储更新: {reason_for_reload}")
        else:
            logger.info("   localStorage 中找到 'aiStudioUserPreference'。正在解析...")
            try:
                pref_obj = json.loads(initial_prefs_str)
                prompt_model_path = pref_obj.get("promptModel")
                is_advanced_open_in_storage = 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 = "localStorage.promptModel 无效或未设置。"
                    logger.info(f"   判定需要刷新和存储更新: {reason_for_reload}")
                elif is_advanced_open_in_storage is not True:
                    needs_reload_and_storage_update = True
                    reason_for_reload = f"localStorage.isAdvancedOpen ({is_advanced_open_in_storage}) 不为 True。"
                    logger.info(f"   判定需要刷新和存储更新: {reason_for_reload}")
                else:
                    server.current_ai_studio_model_id = prompt_model_path.split('/')[-1]
                    logger.info(f"   ✅ localStorage 有效且 isAdvancedOpen=true。初始模型 ID 从 localStorage 设置为: {server.current_ai_studio_model_id}")
            except json.JSONDecodeError:
                needs_reload_and_storage_update = True
                reason_for_reload = "解析 localStorage.aiStudioUserPreference JSON 失败。"
                logger.error(f"   判定需要刷新和存储更新: {reason_for_reload}")
        
        if needs_reload_and_storage_update:
            logger.info(f"   执行刷新和存储更新流程,原因: {reason_for_reload}")
            logger.info("   步骤 1: 调用 _set_model_from_page_display(set_storage=True) 更新 localStorage 和全局模型 ID...")
            await _set_model_from_page_display(page, set_storage=True)
            
            current_page_url = page.url
            logger.info(f"   步骤 2: 重新加载页面 ({current_page_url}) 以应用 isAdvancedOpen=true...")
            max_retries = 3
            for attempt in range(max_retries):
                try:
                    logger.info(f"   尝试重新加载页面 (第 {attempt + 1}/{max_retries} 次): {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.info(f"   ✅ 页面已成功重新加载到: {page.url}")
                    break  # 成功则跳出循环
                except Exception as reload_err:
                    logger.warning(f"   ⚠️ 页面重新加载尝试 {attempt + 1}/{max_retries} 失败: {reload_err}")
                    if attempt < max_retries - 1:
                        logger.info(f"   将在5秒后重试...")
                        await asyncio.sleep(5)
                    else:
                        logger.error(f"   ❌ 页面重新加载在 {max_retries} 次尝试后最终失败: {reload_err}. 后续模型状态可能不准确。", exc_info=True)
                        from .operations import save_error_snapshot
                        await save_error_snapshot(f"initial_storage_reload_fail_attempt_{attempt+1}")
            
            logger.info("   步骤 3: 重新加载后,再次调用 _set_model_from_page_display(set_storage=False) 以同步全局模型 ID...")
            await _set_model_from_page_display(page, set_storage=False)
            logger.info(f"   ✅ 刷新和存储更新流程完成。最终全局模型 ID: {server.current_ai_studio_model_id}")
        else:
            logger.info("   localStorage 状态良好 (isAdvancedOpen=true, promptModel有效),无需刷新页面。")
    except Exception as e:
        logger.error(f"❌ (新) 处理初始模型状态和 localStorage 时发生严重错误: {e}", exc_info=True)
        try:
            logger.warning("   由于发生错误,尝试回退仅从页面显示设置全局模型 ID (不写入localStorage)...")
            await _set_model_from_page_display(page, set_storage=False)
        except Exception as fallback_err:
            logger.error(f"   回退设置模型ID也失败: {fallback_err}")

async def _set_model_from_page_display(page: AsyncPage, set_storage: bool = False):
    """从页面显示设置模型"""
    import server
    current_ai_studio_model_id = getattr(server, 'current_ai_studio_model_id', None)
    parsed_model_list = getattr(server, 'parsed_model_list', [])
    model_list_fetch_event = getattr(server, 'model_list_fetch_event', None)
    
    try:
        logger.info("   尝试从页面显示元素读取当前模型名称...")
        model_name_locator = page.locator('mat-select[data-test-ms-model-selector] div.model-option-content span.gmat-body-medium')
        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.info(f"   页面当前显示模型名称 (原始: '{displayed_model_name_from_page_raw}', 清理后: '{displayed_model_name}')")
        
        found_model_id_from_display = None
        if model_list_fetch_event and not model_list_fetch_event.is_set():
            logger.info("   等待模型列表数据 (最多5秒) 以便转换显示名称...")
            try: 
                await asyncio.wait_for(model_list_fetch_event.wait(), timeout=5.0)
            except asyncio.TimeoutError: 
                logger.warning("   等待模型列表超时,可能无法准确转换显示名称为ID。")
        
        if parsed_model_list:
            for model_obj in parsed_model_list:
                if model_obj.get("display_name") and model_obj.get("display_name").strip() == displayed_model_name:
                    found_model_id_from_display = model_obj.get("id")
                    logger.info(f"   显示名称 '{displayed_model_name}' 对应模型 ID: {found_model_id_from_display}")
                    break
            
            if not found_model_id_from_display:
                 logger.warning(f"   未在已知模型列表中找到与显示名称 '{displayed_model_name}' 匹配的 ID。")
        else:
            logger.warning("   模型列表尚不可用,无法将显示名称转换为ID。")
        
        new_model_value = found_model_id_from_display if found_model_id_from_display else displayed_model_name
        if server.current_ai_studio_model_id != new_model_value:
            server.current_ai_studio_model_id = new_model_value
            logger.info(f"   全局 current_ai_studio_model_id 已更新为: {server.current_ai_studio_model_id}")
        else:
            logger.info(f"   全局 current_ai_studio_model_id ('{server.current_ai_studio_model_id}') 与从页面获取的值一致,未更改。")
        
        if set_storage:
            logger.info(f"   准备为页面状态设置 localStorage (确保 isAdvancedOpen=true)...")
            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("   解析现有 localStorage.aiStudioUserPreference 失败,将创建新的偏好设置。")
            
            prefs_to_set["isAdvancedOpen"] = True
            logger.info(f"     强制 isAdvancedOpen: true")
            prefs_to_set["areToolsOpen"] = False
            logger.info(f"     强制 areToolsOpen: false")
            
            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
                logger.info(f"     设置 promptModel 为: {new_prompt_model_path} (基于找到的ID)")
            elif "promptModel" not in prefs_to_set:
                logger.warning(f"     无法从页面显示 '{displayed_model_name}' 找到模型ID,且 localStorage 中无现有 promptModel。promptModel 将不会被主动设置以避免潜在问题。")
            
            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.info(f"   ✅ localStorage.aiStudioUserPreference 已更新。isAdvancedOpen: {prefs_to_set.get('isAdvancedOpen')}, areToolsOpen: {prefs_to_set.get('areToolsOpen')}, promptModel: '{prefs_to_set.get('promptModel', '未设置/保留原样')}'。")
    except Exception as e_set_disp:
        logger.error(f"   尝试从页面显示设置模型时出错: {e_set_disp}", exc_info=True)