WHAT IT ANSWERS
这张表适合回答什么
- 比较公司财务与分析师预期
- 构建基本面筛选和历史回测输入
DATASET · fundamental
fundamental.cn_analyst_report
收录 A 股卖方研报的机构、作者、标题、报告期和分类,可用于追踪覆盖热度与观点变化;一行由 code、report_date、org_name、report_title 定位,主要字段包括 name、report_type、classify、author_name、quarter。
report_dateWHAT IT ANSWERS
GRAIN & TIME
KEY FIELDS
codereport_dateorg_namereport_titlesourceRECOMMENDED JOINS
ref.instrumenton code + market(先确认代码口径)需要补证券主数据时可按代码和市场映射;不同来源代码可能不一致,优先先查 ref.code_mapping。
HOW TO QUERY SAFELY
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。
MACHINE CONTRACT
code, report_date, org_name, report_title, sourcecode, report_date, org_name, report_title, sourcecanonical_final_activecode→ code · stringmarket→ market · stringprovider→ provider · stringsource→ source · stringPOINT IN TIME
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
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。
curl --fail-with-body -H "Authorization: Bearer $FRIENDS_DATA_API_KEY" "https://api.alphahubs.uk/api/v1/data/datasets/fundamental/cn_analyst_report/rows?limit=100&code=NNNNNN.SH+or+NNNNNN.SZ"from friends_data_api import FriendsDataClient, Settings
async with FriendsDataClient(Settings.from_env()) as client:
page = await client.get_dataset_rows('fundamental', 'cn_analyst_report', limit=100, filters={'code': 'NNNNNN.SH or NNNNNN.SZ'})
print(page.data)
if page.has_more:
print("next cursor:", page.next_cursor)friends-data get-dataset-rows fundamental cn_analyst_report --limit 100 --filter code=NNNNNN.SH or NNNNNN.SZ{
"arguments": {
"dataset": "cn_analyst_report",
"filters": {
"code": "NNNNNN.SH or NNNNNN.SZ"
},
"limit": 100,
"namespace": "fundamental"
},
"tool": "get_dataset_rows"
}FIELD DICTIONARY
descriptionSource 可在 JSON 中区分仓库注释、标准术语表和名称推导说明。
| # | 字段 | ClickHouse 类型 | JSON | 可空 | 角色 | 说明 |
|---|---|---|---|---|---|---|
| 1 | code | String | string | no | filter, default_order, warehouse_primary_key, contract_unique_key | Source-normalized security or contract code.标准术语表 |
| 2 | report_datedate | Date | string / date | no | time, default_order, warehouse_primary_key, contract_unique_key | Reporting-period or statement date.标准术语表 |
| 3 | name | String | string | no | value | Canonical human-readable name.标准术语表 |
| 4 | report_title | String | string | no | default_order, warehouse_primary_key, contract_unique_key | Source-normalized field: report title.名称推导 |
| 5 | report_type | LowCardinality(String) | string | no | value | Source-normalized field: report type.名称推导 |
| 6 | classify | LowCardinality(String) | string | no | value | Source-normalized field: classify.名称推导 |
| 7 | org_name | String | string | no | default_order, warehouse_primary_key, contract_unique_key | Source-normalized field: org name.名称推导 |
| 8 | author_name | String | string | no | value | Source-normalized field: author name.名称推导 |
| 9 | quarter | LowCardinality(String) | string | no | value | Source-normalized field: quarter.名称推导 |
| 10 | rating | LowCardinality(String) | string | no | value | Source-normalized field: rating.名称推导 |
| 11 | op_rt | Nullable(Float64) | number | yes | value | Source-normalized field: op rt.名称推导 |
| 12 | op_pr | Nullable(Float64) | number | yes | value | Source-normalized field: op pr.名称推导 |
| 13 | tp | Nullable(Float64) | number | yes | value | Source-normalized field: tp.名称推导 |
| 14 | np | Nullable(Float64) | number | yes | value | Source-normalized field: np.名称推导 |
| 15 | eps | Nullable(Float64) | number | yes | value | Source-normalized field: eps.名称推导 |
| 16 | pe | Nullable(Float64) | number | yes | value | Source-normalized field: pe.名称推导 |
| 17 | rd | Nullable(Float64) | number | yes | value | Source-normalized field: rd.名称推导 |
| 18 | roe | Nullable(Float64) | number | yes | value | Source-normalized field: roe.名称推导 |
| 19 | ev_ebitda | Nullable(Float64) | number | yes | value | Source-normalized field: ev ebitda.名称推导 |
| 20 | max_price | Nullable(Float64) | number | yes | value | Price value for max price.名称推导 |
| 21 | min_price | Nullable(Float64) | number | yes | value | Price value for min price.名称推导 |
| 22 | imp_dg | LowCardinality(String) | string | no | value | Source-normalized field: imp dg.名称推导 |
| 23 | market | LowCardinality(String) | string | no | filter | Canonical market or country-market code.标准术语表 |
| 24 | source | LowCardinality(String) | string | no | filter, default_order, warehouse_primary_key, contract_unique_key, provenance | Normalized upstream source identifier.标准术语表 |
| 25 | ingest_run_id | String | string | no | provenance | Identifier of the ingestion run that produced the row.标准术语表 |
| 26 | version | UInt64 | integer | no | provenance | Monotonic row version used for correction-aware reads.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 |
| 28 | ingested_atUTC_datetime | DateTime64(3, 'UTC') | string / date-time | no | provenance | UTC timestamp when the source record entered the warehouse.标准术语表 |
| 29 | provider | LowCardinality(String) | string | no | filter, provenance | Upstream data provider identifier.标准术语表 |
| 30 | source_url | String | string | no | provenance | URL of the upstream evidence or record when distributable.标准术语表 |
| 31 | source_record_id | String | string | no | provenance | Provider-side identifier for the source record.标准术语表 |
| 32 | raw_payload_hash | String | string | no | provenance | Opaque fingerprint of the normalized source payload for provenance checks.标准术语表 |
| 33 | parser_version | LowCardinality(String) | string | no | provenance | Version of the parser or normalizer that produced the row.标准术语表 |
| 34 | quality_status | LowCardinality(String) | string | no | provenance | Machine-readable data-quality classification.标准术语表 |
| 35 | license_scope | LowCardinality(String) | string | no | provenance | License or redistribution scope attached to the row.标准术语表 |
| 36 | visibility_tier | LowCardinality(String) | string | no | provenance | Serving visibility tier attached to the row.标准术语表 |
换一个字段名、类型或角色。
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。