name: "文本质量评估算子"
description: "基于大语言模型对文本进行多维度质量评分。支持自定义模型、分块策略及评估维度，并发处理长文本。"
language: "python"
raw_id: "TextQualityEvaluator"
version: "1.0.0"
vendor: "DeepData User"
modal: "text"
inputs: "text"
outputs: "text"
types:
  - 'consolidate'

release:
  - '修复缺失 accessType 和 isHttps 参数'

runtime:
  memory: 2147483648
  cpu: 0.5
  storage: 50MB

settings:
  # --- LLM 核心配置 ---
  LLMUrl:
    name: "LLM API 地址"
    type: "input"
    defaultVal: "http://ollama.ailab.ccoop.cc:18585/v1/chat/completions"
    required: true

  accessType:
    name: "使用标准 HTTP 请求"
    type: "switch"
    description: "开启后使用标准 requests 请求，关闭则尝试加载内部证书 (本地 Ollama 必须开启)"
    defaultVal: "true"

  isHttps:
    name: "使用 HTTPS"
    type: "switch"
    defaultVal: "false"

  LLMHeaders:
    name: "请求头 (JSON)"
    type: "textarea"
    defaultVal: '{"Content-Type": "application/json"}'

  LLMModel:
    name: "模型名称"
    type: "input"
    defaultVal: "qwen2.5:7b-instruct-q4_0"

  LLMBody:
    name: "请求体模板 (JSON)"
    type: "textarea"
    description: "使用 {model} 和 {prompt} 占位符"
    defaultVal: '{"model": "{model}", "messages": [{"role": "user", "content": "{prompt}"}]}'
  
  # --- 业务参数 ---
  chunk_size:
    name: "分块大小"
    type: "inputNumber"
    defaultVal: 2000
    min: 500
    max: 8000
    step: 100

  chunk_overlap:
    name: "重叠字符数"
    type: "inputNumber"
    defaultVal: 100
    min: 0
    max: 1000
    step: 50

  dimensions:
    name: "评估维度 (JSON)"
    type: "textarea"
    defaultVal: '[{"name": "连贯性", "desc": "逻辑通顺度"}, {"name": "信息密度", "desc": "有效信息占比"}]'

  prompt_template:
    name: "评估提示词"
    type: "textarea"
    defaultVal: "请作为资深数据专家，对以下文本进行多维度质量打分（0.0~1.0）：\n\n【待评估文本】\n{context}\n\n【评估维度】\n{dimensions}\n\n请严格按照格式返回对应数量的逗号分隔的浮点数，不要输出其他内容。"

  max_workers:
    name: "并发线程数"
    type: "inputNumber"
    defaultVal: 5
    min: 1
    max: 20
    step: 1