DATASET · event

FDA 药品批准

event.fda_drug_approval

新闻、公告与事件

这是公告、新闻与可交易事件中的“FDA 药品批准”数据集；一行由 application_number、submission_type、submission_number、action_date 定位，主要字段包括 instrument_id、sponsor_name、brand_name、generic_name、submission_status。

下载本类 JSON 下载完整 JSON.gz 先获取 Key

字段27

关键字段5

更新口径event

时间列publish_ts

单页上限5000

分页Cursor

PIT不支持

规模10K-99K

WHAT IT ANSWERS

这张表适合回答什么

按标的和时间检索事件或原文
与行情联接研究事件前后反应

GRAIN & TIME

一行代表什么

业务粒度: 每行代表“FDA 药品批准”的一条记录；逻辑粒度由 application_number × submission_type × submission_number × action_date × source 共同确定。
时间口径: 以 publish_ts 为主要查询时间轴；除下方限制特别说明外，时间戳按 UTC、日期按来源市场日历解释。
更新节奏: 由公告、新闻或业务事件触发更新，没有固定日历频率。

KEY FIELDS

先看这些字段

application_number: 用于确定该表业务粒度或默认顺序的 application number 字段。
submission_type: 用于确定该表业务粒度或默认顺序的 submission type 字段。
submission_number: 用于确定该表业务粒度或默认顺序的 submission number 字段。
action_date: action date 对应的日历日期。
source: 标准化数据来源；同一业务键可能因来源不同而有多行。

RECOMMENDED JOINS

怎样和其他表关联

ref.instrumenton instrument_id

用 instrument_id 补充证券代码、名称、市场、交易所和资产类型。

HOW TO QUERY SAFELY

查询方法与已知限制

先用 catalog 确认当前契约；可按 catalog 中列出的 filters 进一步缩小范围；单页最多 5000 行，响应有 has_more 时原样传回 next_cursor 继续分页。

返回范围仍受 Friends 权限、单页上限和 catalog 中的筛选契约约束。

MACHINE CONTRACT

筛选、排序与分页

UNVERSIONED

默认排序: application_number, submission_type, submission_number, action_date, source
唯一键: application_number, submission_type, submission_number, action_date, source
读取模式: canonical_final_active
最大时间窗: 未单独限制

可用 filters

instrument_id→ instrument_id · integer

provider→ provider · string

source→ source · string

POINT IN TIME

可复现读取

NOT AVAILABLE

该资产没有 PIT 契约。普通 rows 端点仍按当前公开读模式返回数据；不要把它表述成历史时点快照。

COPY-READY CALLS

怎么调用

同一数据集可用 HTTP、Python SDK、CLI 或 MCP；Key 始终只通过环境变量/Bearer Header 传递。

READ ONLY

HTTP

curl --fail-with-body -H "Authorization: Bearer $FRIENDS_DATA_API_KEY" "https://api.alphahubs.uk/api/v1/data/datasets/event/fda_drug_approval/rows?limit=100&instrument_id=1"

PYTHON SDK

from friends_data_api import FriendsDataClient, Settings

async with FriendsDataClient(Settings.from_env()) as client:
    page = await client.get_dataset_rows('event', 'fda_drug_approval', limit=100, filters={'instrument_id': 1})
    print(page.data)
    if page.has_more:
        print("next cursor:", page.next_cursor)

CLI

friends-data get-dataset-rows event fda_drug_approval --limit 100 --filter instrument_id=1

MCP TOOL CALL

{
  "arguments": {
    "dataset": "fda_drug_approval",
    "filters": {
      "instrument_id": 1
    },
    "limit": 100,
    "namespace": "event"
  },
  "tool": "get_dataset_rows"
}

FIELD DICTIONARY

27 个返回字段

descriptionSource 可在 JSON 中区分仓库注释、标准术语表和名称推导说明。

筛选字段

#	字段	ClickHouse 类型	JSON	可空	角色	说明
1	`application_number`	`String`	`string`	no	default_order, warehouse_primary_key, contract_unique_key	Source-normalized field: application number.名称推导
2	`instrument_id`	`UInt64`	`integer`	no	filter	WarrenHub canonical instrument identifier; use it for cross-dataset joins.标准术语表
3	`sponsor_name`	`String`	`string`	no	value	Source-normalized field: sponsor name.名称推导
4	`brand_name`	`String`	`string`	no	value	Source-normalized field: brand name.名称推导
5	`generic_name`	`String`	`string`	no	value	Source-normalized field: generic name.名称推导
6	`submission_type`	`LowCardinality(String)`	`string`	no	default_order, warehouse_primary_key, contract_unique_key	Source-normalized field: submission type.名称推导
7	`submission_number`	`String`	`string`	no	default_order, warehouse_primary_key, contract_unique_key	Source-normalized field: submission number.名称推导
8	`submission_status`	`LowCardinality(String)`	`string`	no	value	Source-normalized field: submission status.名称推导
9	`submission_class_code`	`LowCardinality(String)`	`string`	no	value	Source-normalized field: submission class code.名称推导
10	`review_priority`	`LowCardinality(String)`	`string`	no	value	Source-normalized field: review priority.名称推导
11	`action_date`date	`Date`	`string / date`	no	default_order, warehouse_primary_key, contract_unique_key	Calendar date for action date (YYYY-MM-DD).名称推导
12	`publish_ts`UTC_datetime	`DateTime64(3, 'UTC')`	`string / date-time`	no	time, provenance	UTC point-in-time availability timestamp used by PIT reads.标准术语表
13	`source_ts`UTC_datetime	`DateTime64(3, 'UTC')`	`string / date-time`	no	provenance	Timestamp asserted by the upstream source.标准术语表
14	`ingested_at`UTC_datetime	`DateTime64(3, 'UTC')`	`string / date-time`	no	provenance	UTC timestamp when the source record entered the warehouse.标准术语表
15	`source`	`LowCardinality(String)`	`string`	no	filter, default_order, warehouse_primary_key, contract_unique_key, provenance	Normalized upstream source identifier.标准术语表
16	`provider`	`LowCardinality(String)`	`string`	no	filter, provenance	Upstream data provider identifier.标准术语表
17	`source_url`	`String`	`string`	no	provenance	URL of the upstream evidence or record when distributable.标准术语表
18	`source_record_id`	`String`	`string`	no	provenance	Provider-side identifier for the source record.标准术语表
19	`raw_payload_hash`	`String`	`string`	no	provenance	Opaque fingerprint of the normalized source payload for provenance checks.标准术语表
20	`parser_version`	`LowCardinality(String)`	`string`	no	provenance	Version of the parser or normalizer that produced the row.标准术语表
21	`quality_status`	`LowCardinality(String)`	`string`	no	provenance	Machine-readable data-quality classification.标准术语表
22	`license_scope`	`LowCardinality(String)`	`string`	no	provenance	License or redistribution scope attached to the row.标准术语表
23	`visibility_tier`	`LowCardinality(String)`	`string`	no	provenance	Serving visibility tier attached to the row.标准术语表
24	`ingest_run_id`	`String`	`string`	no	provenance	Identifier of the ingestion run that produced the row.标准术语表
25	`version`	`UInt64`	`integer`	no	provenance	Monotonic row version used for correction-aware reads.标准术语表
26	`version_ts`UTC_datetime	`DateTime64(3, 'UTC')`	`string / date-time`	no	provenance	UTC timestamp associated with the row version.标准术语表
27	`is_deleted`	`UInt8`	`integer`	no	value	Soft-delete marker; public serving excludes current tombstones.标准术语表

字典口径

结构来自 Friends 只读身份可见的真实 serving relation；权限、过滤、排序、PIT 与分页来自可执行 DatasetSpec。Schema observed at 2026-10-06T18:08:52Z。