181 lines
6.7 KiB
Python
181 lines
6.7 KiB
Python
"""Expert Transformation Agent prompts module - Bilingual support"""
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from typing import List, Optional
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from .language_config import LanguageType
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def get_expert_generation_prompt(
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query: str,
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categories: List[str],
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expert_count: int,
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custom_experts: Optional[List[str]] = None,
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lang: LanguageType = "zh"
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) -> str:
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"""Step 0: Generate expert team (not dependent on topic, purely random and diverse)"""
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import time
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import random
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# Add timestamp and random number for diversity
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seed = int(time.time() * 1000) % 10000
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if lang == "en":
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custom_text = ""
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if custom_experts and len(custom_experts) > 0:
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custom_text = f" (Specified: {', '.join(custom_experts[:expert_count])})"
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diversity_hints = [
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"obscure, non-mainstream, cross-disciplinary",
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"rare occupations, emerging fields, fringe disciplines",
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"unconventional, innovative, niche specialties",
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"future-oriented, experimental, non-traditional",
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"cross-cultural, hybrid fields, unique perspectives"
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]
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hint = random.choice(diversity_hints)
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return f"""/no_think
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Randomly assemble a team of {expert_count} experts from completely different fields{custom_text}.
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[Innovation Requirements] (Random seed: {seed})
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- Prioritize {hint} experts
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- Avoid common professions (such as doctors, engineers, teachers, lawyers, etc.)
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- Each expert must be from a completely unrelated field
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- The rarer and more innovative, the better
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Return JSON:
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{{"experts": [{{"id": "expert-0", "name": "profession", "domain": "field", "perspective": "viewpoint"}}, ...]}}
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Rules:
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- id should be expert-0 to expert-{expert_count - 1}
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- name is the profession name (not a person's name), 2-5 words
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- domain should be specific and unique, no duplicate types"""
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else:
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custom_text = ""
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if custom_experts and len(custom_experts) > 0:
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custom_text = f"（已指定：{', '.join(custom_experts[:expert_count])}）"
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diversity_hints = [
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"冷門、非主流、跨領域",
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"罕見職業、新興領域、邊緣學科",
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"非傳統、創新、小眾專業",
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"未來趨向、實驗性、非常規",
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"跨文化、混合領域、獨特視角"
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]
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hint = random.choice(diversity_hints)
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return f"""/no_think
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隨機組建 {expert_count} 個來自完全不同領域的專家團隊{custom_text}。
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【創新要求】（隨機種子:{seed}）
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- 優先選擇{hint}的專家
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- 避免常見職業（如醫生、工程師、教師、律師等）
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- 每個專家必須來自完全不相關的領域
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- 越罕見、越創新越好
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回傳 JSON：
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{{"experts": [{{"id": "expert-0", "name": "職業", "domain": "領域", "perspective": "角度"}}, ...]}}
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規則：
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- id 為 expert-0 到 expert-{expert_count - 1}
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- name 填寫職業名稱（非人名），2-5字
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- domain 要具體且獨特，不可重複類型"""
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def get_expert_keyword_generation_prompt(
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category: str,
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attribute: str,
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experts: List[dict], # List[ExpertProfile]
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keywords_per_expert: int = 1,
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lang: LanguageType = "zh"
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) -> str:
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"""Step 1: Expert perspective keyword generation"""
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# Build expert list in clearer format
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experts_list = "\n".join([f"- {exp['id']}: {exp['name']}" for exp in experts])
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if lang == "en":
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return f"""/no_think
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You need to play the role of the following experts to generate innovative keywords for an attribute:
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[Expert List]
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{experts_list}
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[Task]
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Attribute: "{attribute}" (Category: {category})
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For each expert, please:
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1. First understand the professional background, knowledge domain, and work content of that profession
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2. Think about "{attribute}" from that profession's unique perspective
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3. Generate {keywords_per_expert} innovative keyword(s) related to that specialty (2-6 words)
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Keywords must reflect that expert's professional thinking style, for example:
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- Accountant viewing "movement" → "cash flow", "cost-benefit"
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- Architect viewing "movement" → "circulation design", "spatial flow"
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- Psychologist viewing "movement" → "behavioral motivation", "emotional transition"
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Return JSON:
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{{"keywords": [{{"keyword": "term", "expert_id": "expert-X", "expert_name": "name"}}, ...]}}
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Total of {len(experts) * keywords_per_expert} keywords needed, each keyword must be clearly related to the corresponding expert's professional field."""
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else:
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return f"""/no_think
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你需要扮演以下專家，為屬性生成創新關鍵字：
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【專家名單】
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{experts_list}
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【任務】
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屬性：「{attribute}」（類別：{category}）
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請為每位專家：
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1. 先理解該職業的專業背景、知識領域、工作內容
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2. 從該職業的獨特視角思考「{attribute}」
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3. 生成 {keywords_per_expert} 個與該專業相關的創新關鍵字（2-6字）
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關鍵字必須反映該專家的專業思維方式，例如：
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- 會計師 看「移動」→「資金流動」「成本效益」
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- 建築師 看「移動」→「動線設計」「空間流動」
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- 心理師 看「移動」→「行為動機」「情緒轉變」
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回傳 JSON：
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{{"keywords": [{{"keyword": "詞彙", "expert_id": "expert-X", "expert_name": "名稱"}}, ...]}}
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共需 {len(experts) * keywords_per_expert} 個關鍵字，每個關鍵字必須明顯與對應專家的專業領域相關。"""
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def get_single_description_prompt(
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query: str,
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keyword: str,
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expert_id: str,
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expert_name: str,
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expert_domain: str,
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lang: LanguageType = "zh"
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) -> str:
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"""Step 2: Generate description for a single keyword"""
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if lang == "en":
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# If domain is generic, just use profession name
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domain_text = f" ({expert_domain} field)" if expert_domain and expert_domain != "Professional Field" else ""
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return f"""/no_think
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You are a {expert_name}{domain_text}.
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Task: Generate an innovative application description for "{query}".
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Keyword: {keyword}
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From your professional perspective, explain how to apply the concept of "{keyword}" to "{query}". The description should be specific, creative, 15-30 words.
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Return JSON only, no other text:
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{{"description": "your innovative application description"}}"""
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else:
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# 如果 domain 是通用的，就只用職業名稱
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domain_text = f"（{expert_domain}領域）" if expert_domain and expert_domain != "Professional Field" else ""
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return f"""/no_think
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你是一位{expert_name}{domain_text}。
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任務：為「{query}」生成一段創新應用描述。
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關鍵字：{keyword}
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從你的專業視角，說明如何將「{keyword}」的概念應用到「{query}」上。描述要具體、有創意，15-30字。
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只回傳 JSON，不要其他文字：
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{{"description": "你的創新應用描述"}}"""
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