evaluate_articles_quality
Assess journal quality of articles in bulk by querying local cache or EasyScholar API. Designed for filtering and evaluating academic research quality in literature search results.
Instructions
批量评估文献的期刊质量
功能说明：
为文献列表中的每篇文献评估其期刊质量
先从本地缓存查询，没有则调用EasyScholar API
返回包含期刊质量信息的完整文献列表
参数说明：
articles: 必需，文献列表（来自搜索结果）
secret_key: 可选，EasyScholar API密钥（可从环境变量EASYSCHOLAR_SECRET_KEY获取）
返回值说明：
evaluated_articles: 包含期刊质量信息的文献列表
total_count: 评估的文献总数
message: 处理信息
error: 错误信息（如果有）
使用场景：
批量评估搜索结果的期刊质量
文献质量筛选
学术研究质量评估
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| articles | Yes | ||
| secret_key | No |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Implementation Reference
- The core handler function for the 'evaluate_articles_quality' tool. It processes a list of articles, retrieves journal quality metrics for each using the EasyScholar API (via secret_key) or local cache, and augments each article with a 'journal_quality' field containing metrics like impact factor, SCI quartile, JCI, etc.
def evaluate_articles_quality(self, articles: list, secret_key: str = None): """批量评估文献的期刊质量""" if not articles: return [] evaluated_articles = [] for article in articles: journal_name = article.get("journal_name") if journal_name: quality_info = self.get_journal_quality(journal_name, secret_key) article_copy = article.copy() article_copy["journal_quality"] = quality_info evaluated_articles.append(article_copy) else: article_copy = article.copy() article_copy["journal_quality"] = { "journal_name": None, "source": None, "quality_metrics": {}, "error": "无期刊信息", } evaluated_articles.append(article_copy) return evaluated_articles