时间线

timeline = client.timeline.companies(num=20)
for item in timeline:
    print(item["title"], item["published_at"])

timeline = client.timeline.topics(num=20)

timeline = client.timeline.institutes(num=20)

timeline = client.timeline.public_media(num=20)

timeline = client.timeline.social_media(num=20)

{
    "doc_id": "abc123",
    "title": "Tesla Q4 Earnings Preview",
    "summary": "分析师预计 Tesla 将...",
    "category": "reports",
    "published_at": 1704067200000,
    "channel_name": "Morgan Stanley",
    "companies": [
        {
            "name": "Tesla",
            "stocks": [{"symbol": "US:TSLA"}]
        }
    ],
    "labels": ["财报预览", "电动车"]
}

# 每日晨会：获取所有关注内容的最新动态
companies = client.timeline.companies(num=10)
topics = client.timeline.topics(num=10)
institutes = client.timeline.institutes(num=10)

print("=== 关注公司动态 ===")
for item in companies:
    print(f"- {item['title']}")

print("\n=== 关注主题动态 ===")
for item in topics:
    print(f"- {item['title']}")

print("\n=== 关注机构动态 ===")
for item in institutes:
    print(f"- {item['title']}")