fix: translate remaining Chinese in sim config and profile prompts

- Time config: translate all Chinese instructions and field descriptions
- Event config: translate hot topics/narrative direction instructions
- Agent config: translate entity type descriptions and field labels
- Profile generator: translate all persona prompt fields and instructions
- Country field: changed from 'use Chinese' to 'use English'

backend/app/services/oasis_profile_generator.py

@@ -684,43 +684,43 @@ class OasisProfileGenerator:
     ) -> str:
         """构建个人实体的详细人设提示词"""
         
-        attrs_str = json.dumps(entity_attributes, ensure_ascii=False) if entity_attributes else "无"
-        context_str = context[:3000] if context else "无额外上下文"
+        attrs_str = json.dumps(entity_attributes, ensure_ascii=False) if entity_attributes else "None"
+        context_str = context[:3000] if context else "No additional context"
         
         return f"""Generate detailed social media user persona for the entity, maximizing fidelity to real-world situations.
 
-实体名称: {entity_name}
-实体类型: {entity_type}
-实体摘要: {entity_summary}
-实体属性: {attrs_str}
+Entity name: {entity_name}
+Entity type: {entity_type}
+Entity summary: {entity_summary}
+Entity attributes: {attrs_str}
 
-上下文信息:
+Context information:
 {context_str}
 
-请生成JSON，包含以下字段:
+Please generate JSON with the following fields:
 
-1. bio: 社交媒体简介，200字
-2. persona: 详细人设描述（2000字的纯文本），需包含:
-   - 基本信息（年龄、职业、教育背景、所在地）
-   - 人物背景（重要经历、与事件的关联、社会关系）
-   - 性格特征（MBTI类型、核心性格、情绪表达方式）
-   - 社交媒体行为（发帖频率、内容偏好、互动风格、语言特点）
-   - 立场观点（对话题的态度、可能被激怒/感动的内容）
-   - 独特特征（口头禅、特殊经历、个人爱好）
-   - 个人记忆（人设的重要部分，要介绍这个个体与事件的关联，以及这个个体在事件中的已有动作与反应）
-3. age: 年龄数字（必须是整数）
-4. gender: 性别，必须是英文: "male" 或 "female"
-5. mbti: MBTI类型（如INTJ、ENFP等）
-6. country: 国家（使用中文，如"中国"）
-7. profession: 职业
-8. interested_topics: 感兴趣话题数组
+1. bio: Social media bio, 200 characters
+2. persona: Detailed persona description (2000 chars plain text), must include:
+   - Basic info (age, occupation, education, location)
+   - Background (important experiences, connection to event, social relations)
+   - Personality (MBTI type, core personality, emotional expression style)
+   - Social media behavior (posting frequency, content preferences, interaction style, language traits)
+   - Stance (attitude toward topics, content that may trigger/move them)
+   - Unique traits (catchphrases, special experiences, personal hobbies)
+   - Personal memory (important part of persona: individual's connection to the event, and their existing actions and reactions)
+3. age: Age number (must be integer)
+4. gender: Gender, must be English: "male" or "female"
+5. mbti: MBTI type (e.g. INTJ, ENFP)
+6. country: Country (use English, e.g. "Thailand", "China")
+7. profession: Occupation
+8. interested_topics: Array of topics of interest
 
-重要:
-- 所有字段值必须是字符串或数字，不要使用换行符
-- persona必须是一段连贯的文字描述
+Important:
+- All field values must be strings or numbers, do not use newlines
+- persona must be a coherent text description
 - {get_language_instruction()} (gender字段必须用英文male/female)
-- 内容要与实体信息保持一致
-- age必须是有效的整数，gender必须是"male"或"female"
+- Content must be consistent with entity information
+- age must be a valid integer, gender must be "male" or "female"
 """
 
     def _build_group_persona_prompt(
@@ -733,42 +733,42 @@ class OasisProfileGenerator:
     ) -> str:
         """构建群体/机构实体的详细人设提示词"""
         
-        attrs_str = json.dumps(entity_attributes, ensure_ascii=False) if entity_attributes else "无"
-        context_str = context[:3000] if context else "无额外上下文"
+        attrs_str = json.dumps(entity_attributes, ensure_ascii=False) if entity_attributes else "None"
+        context_str = context[:3000] if context else "No additional context"
         
         return f"""Generate detailed social media account settings for organization/group entity, maximizing fidelity to real-world situations.
 
-实体名称: {entity_name}
-实体类型: {entity_type}
-实体摘要: {entity_summary}
-实体属性: {attrs_str}
+Entity name: {entity_name}
+Entity type: {entity_type}
+Entity summary: {entity_summary}
+Entity attributes: {attrs_str}
 
-上下文信息:
+Context information:
 {context_str}
 
-请生成JSON，包含以下字段:
+Please generate JSON with the following fields:
 
-1. bio: 官方账号简介，200字，专业得体
-2. persona: 详细账号设定描述（2000字的纯文本），需包含:
-   - 机构基本信息（正式名称、机构性质、成立背景、主要职能）
-   - 账号定位（账号类型、目标受众、核心功能）
-   - 发言风格（语言特点、常用表达、禁忌话题）
-   - 发布内容特点（内容类型、发布频率、活跃时间段）
-   - 立场态度（对核心话题的官方立场、面对争议的处理方式）
-   - 特殊说明（代表的群体画像、运营习惯）
-   - 机构记忆（机构人设的重要部分，要介绍这个机构与事件的关联，以及这个机构在事件中的已有动作与反应）
-3. age: 固定填30（机构账号的虚拟年龄）
-4. gender: 固定填"other"（机构账号使用other表示非个人）
-5. mbti: MBTI类型，用于描述账号风格，如ISTJ代表严谨保守
-6. country: 国家（使用中文，如"中国"）
-7. profession: 机构职能描述
-8. interested_topics: 关注领域数组
+1. bio: Official account bio, 200 characters, professional and appropriate
+2. persona: Detailed account settings description (2000 chars plain text), must include:
+   - Organization basics (official name, nature, founding background, main functions)
+   - Account positioning (account type, target audience, core function)
+   - Speaking style (language traits, common expressions, taboo topics)
+   - Content characteristics (content type, posting frequency, active hours)
+   - Stance (official position on core topics, handling of controversies)
+   - Special notes (represented group profile, operational habits)
+   - Organization memory (important part: organization's connection to the event, and their existing actions and reactions)
+3. age: Always 30 (virtual age for organization accounts)
+4. gender: Always "other" (organization accounts use "other" to indicate non-personal)
+5. mbti: MBTI type to describe account style, e.g. ISTJ for rigorous and conservative
+6. country: Country (use English, e.g. "Thailand", "China")
+7. profession: Organization function description
+8. interested_topics: Array of areas of interest
 
-重要:
-- 所有字段值必须是字符串或数字，不允许null值
-- persona必须是一段连贯的文字描述，不要使用换行符
+Important:
+- All field values must be strings or numbers, null values not allowed
+- persona must be a coherent text description，不要使用换行符
 - {get_language_instruction()} (gender字段必须用英文"other")
-- age必须是整数30，gender必须是字符串"other"
+- age must be integer 30, gender must be string "other"
 - Organization account posts must match its identity positioning"""
     
     def _generate_profile_rule_based(

backend/app/services/simulation_config_generator.py

@@ -544,24 +544,24 @@ class SimulationConfigGenerator:
 
 {context_truncated}
 
-## 任务
+## Task
 Please generate time config JSON.
 
-### 基本原则（仅供参考，需根据具体事件和参与群体灵活调整）：
+### Basic Principles (for reference only, adjust flexibly based on specific event and participant group):
 - Please infer the target user group's timezone and daily routine based on the simulation scenario. Below is a reference example for UTC+8
-- 凌晨0-5点几乎无人活动（活跃度系数0.05）
-- 早上6-8点逐渐活跃（活跃度系数0.4）
-- 工作时间9-18点中等活跃（活跃度系数0.7）
-- 晚间19-22点是高峰期（活跃度系数1.5）
-- 23点后活跃度下降（活跃度系数0.5）
-- 一般规律：凌晨低活跃、早间渐增、工作时段中等、晚间高峰
-- **重要**：以下示例值仅供参考，你需要根据事件性质、参与群体特点来调整具体时段
-  - 例如：学生群体高峰可能是21-23点；媒体全天活跃；官方机构只在工作时间
-  - 例如：突发热点可能导致深夜也有讨论，off_peak_hours 可适当缩短
+- Midnight 0-5am: almost no activity (activity multiplier 0.05)
+- Morning 6-8am: gradually active (activity multiplier 0.4)
+- Work hours 9-18pm: moderately active (activity multiplier 0.7)
+- Evening 19-22pm: peak hours (activity multiplier 1.5)
+- After 23pm: activity decreases (activity multiplier 0.5)
+- General pattern: low activity late night, increasing morning, moderate during work hours, peak in evening
+- **Important**: The example values above are for reference only. You must adjust specific time periods based on event nature and participant characteristics
+  - Example: Student groups may peak at 21-23pm; media is active all day; government agencies only during work hours
+  - Example: Breaking hot topics may cause late-night discussions, off_peak_hours can be shortened accordingly
 
-### 返回JSON格式（不要markdown）
+### Return in JSON format (no markdown)
 
-示例：
+Example:
 {{
     "total_simulation_hours": 72,
     "minutes_per_round": 60,
@@ -574,15 +574,15 @@ Please generate time config JSON.
     "reasoning": "Explanation of time config for this event"
 }}
 
-字段说明：
-- total_simulation_hours (int): 模拟总时长，24-168小时，突发事件短、持续话题长
-- minutes_per_round (int): 每轮时长，30-120分钟，建议60分钟
-- agents_per_hour_min (int): 每小时最少激活Agent数（取值范围: 1-{max_agents_allowed}）
-- agents_per_hour_max (int): 每小时最多激活Agent数（取值范围: 1-{max_agents_allowed}）
-- peak_hours (int数组): 高峰时段，根据事件参与群体调整
-- off_peak_hours (int数组): 低谷时段，通常深夜凌晨
-- morning_hours (int数组): 早间时段
-- work_hours (int数组): 工作时段
+Field descriptions:
+- total_simulation_hours (int): Total simulation duration, 24-168 hours, shorter for breaking events, longer for ongoing topics
+- minutes_per_round (int): Minutes per round, 30-120 minutes, recommended 60 minutes
+- agents_per_hour_min (int): Minimum agents activated per hour (range: 1-{max_agents_allowed})
+- agents_per_hour_max (int): Maximum agents activated per hour (range: 1-{max_agents_allowed})
+- peak_hours (int array): Peak hours, adjust based on event participant group
+- off_peak_hours (int array): Off-peak hours, typically late night/early morning
+- morning_hours (int array): Morning hours
+- work_hours (int array): Work hours
 - reasoning (string): Brief explanation of why this config was chosen"""
 
         system_prompt = "You are a social media simulation expert. Return pure JSON format. Time config must match the target user group's daily routine in the simulation scenario."
@@ -679,27 +679,27 @@ Simulation requirements: {simulation_requirement}
 
 {context_truncated}
 
-## 可用实体类型及示例
+## Available Entity Types and Examples
 {type_info}
 
-## 任务
+## Task
 Please generate event config JSON:
-- 提取热点话题关键词
-- 描述舆论发展方向
-- 设计初始帖子内容，**每个帖子必须指定 poster_type（发布者类型）**
+- Extract hot topic keywords
+- Describe the narrative direction of public opinion
+- Design initial post content, **each post must specify poster_type (publisher type)**
 
-**重要**: poster_type 必须从上面的"可用实体类型"中选择，这样初始帖子才能分配给合适的 Agent 发布。
-例如：官方声明应由 Official/University 类型发布，新闻由 MediaOutlet 发布，学生观点由 Student 发布。
+**Important**: poster_type must be selected from the "Available Entity Types" above, so initial posts can be assigned to suitable Agents.
+For example: Official statements should be posted by Official/University types, news by MediaOutlet, student opinions by Student.
 
 Return in JSON format (no markdown):
 {{
-    "hot_topics": ["关键词1", "关键词2", ...],
-    "narrative_direction": "<舆论发展方向描述>",
+    "hot_topics": ["keyword1", "keyword2", ...],
+    "narrative_direction": "<description of public opinion direction>",
     "initial_posts": [
-        {{"content": "帖子内容", "poster_type": "实体类型（必须从可用类型中选择）"}},
+        {{"content": "post content", "poster_type": "entity type (must be from available types)"}},
         ...
     ],
-    "reasoning": "<简要说明>"
+    "reasoning": "<brief explanation>"
 }}"""
 
         system_prompt = "You are a public opinion analysis expert. Return pure JSON format. Note: poster_type must exactly match available entity types."
@@ -834,33 +834,33 @@ Return in JSON format (no markdown):
 
 Simulation requirements: {simulation_requirement}
 
-## 实体列表
+## Entity List
 ```json
 {json.dumps(entity_list, ensure_ascii=False, indent=2)}
 ```
 
-## 任务
+## Task
 Generate activity config for each entity, noting:
 - **Time must match target user group routine**: Below is a reference (UTC+8), please adjust based on simulation scenario
-- **官方机构**（University/GovernmentAgency）：活跃度低(0.1-0.3)，工作时间(9-17)活动，响应慢(60-240分钟)，影响力高(2.5-3.0)
-- **媒体**（MediaOutlet）：活跃度中(0.4-0.6)，全天活动(8-23)，响应快(5-30分钟)，影响力高(2.0-2.5)
-- **个人**（Student/Person/Alumni）：活跃度高(0.6-0.9)，主要晚间活动(18-23)，响应快(1-15分钟)，影响力低(0.8-1.2)
-- **公众人物/专家**：活跃度中(0.4-0.6)，影响力中高(1.5-2.0)
+- **Government agencies** (University/GovernmentAgency): Low activity (0.1-0.3), active during work hours (9-17), slow response (60-240 min), high influence (2.5-3.0)
+- **Media** (MediaOutlet): Medium activity (0.4-0.6), active all day (8-23), fast response (5-30 min), high influence (2.0-2.5)
+- **Individuals** (Student/Person/Alumni): High activity (0.6-0.9), mainly evening (18-23), fast response (1-15 min), low influence (0.8-1.2)
+- **Public figures/experts**: Medium activity (0.4-0.6), medium-high influence (1.5-2.0)
 
 Return in JSON format (no markdown):
 {{
     "agent_configs": [
         {{
-            "agent_id": <必须与输入一致>,
+            "agent_id": <must match input>,
             "activity_level": <0.0-1.0>,
-            "posts_per_hour": <发帖频率>,
-            "comments_per_hour": <评论频率>,
-            "active_hours": [<活跃小时列表，考虑中国人作息>],
-            "response_delay_min": <最小响应延迟分钟>,
-            "response_delay_max": <最大响应延迟分钟>,
-            "sentiment_bias": <-1.0到1.0>,
+            "posts_per_hour": <posting frequency>,
+            "comments_per_hour": <commenting frequency>,
+            "active_hours": [<list of active hours, consider target user routine>],
+            "response_delay_min": <min response delay in minutes>,
+            "response_delay_max": <max response delay in minutes>,
+            "sentiment_bias": <-1.0 to 1.0>,
             "stance": "<supportive/opposing/neutral/observer>",
-            "influence_weight": <影响力权重>
+            "influence_weight": <influence weight>
         }},
         ...
     ]