Documentation Index
Fetch the complete documentation index at: https://docs.reportify.cn/llms.txt
Use this file to discover all available pages before exploring further.
文档模块用于获取单个文档的详细内容和总结。
get()
获取文档详情。
doc = client.docs.get("doc_abc123")
print(doc["title"])
print(doc["content"])
summary()
获取文档总结。
summary = client.docs.summary("doc_abc123")
print(summary["summary"])
print(summary["key_points"])
list_by_symbol()
获取指定股票的相关文档列表。
docs = client.docs.list_by_symbol(
symbol="US:AAPL",
categories=["news", "filings"],
num=20
)
list_by_label()
获取指定标签的文档列表。
docs = client.docs.list_by_label(
label="财报",
num=20
)
返回数据结构
文档详情
{
"doc_id": "abc123",
"title": "Tesla Q4 2024 Earnings Call Transcript",
"content": "完整文档内容...",
"category": "transcripts",
"published_at": 1704067200000,
"channel_name": "Tesla Inc.",
"companies": [
{
"name": "Tesla",
"stocks": [{"symbol": "US:TSLA"}]
}
],
"url": "https://...",
"word_count": 15000
}
文档总结
{
"doc_id": "abc123",
"summary": "Tesla 在 Q4 财报电话会议中报告了...",
"key_points": [
"交付量创历史新高",
"毛利率环比提升",
"Cybertruck 产能爬坡顺利"
],
"sentiment": "positive"
}
使用场景
# 搜索文档后获取详情
results = client.search.all("Tesla earnings", num=5)
for result in results:
doc_id = result["doc_id"]
# 获取完整内容
detail = client.docs.get(doc_id)
print(f"标题: {detail['title']}")
print(f"字数: {detail.get('word_count', 'N/A')}")
# 获取 AI 总结
summary = client.docs.summary(doc_id)
print(f"摘要: {summary['summary'][:200]}...")
print()
