Add support for a new curve data format in the Curves package converter system
中文简介正在准备中。当前显示原文说明。
Add caching to Datagrok functions using meta.cache annotations
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Help the user add caching to Datagrok functions to improve performance by storing results for repeated calls with the same inputs.
/cache-function-results [function-name] [--mode <client|server|all>]
Add meta.cache annotation to the function header:
client — stores results in the browser's IndexedDBserver — stores results on the Datagrok serverall — uses both client and server caches together//name: Get Users
//meta.cache: all
//meta.cache.invalidateOn: 0 0 * * *
//output: dataframe result
export async function getUsers(): Promise<DG.DataFrame> {
// Expensive operation — results will be cached
}
#name: Example
#language: python
#meta.cache: client
#meta.cache.invalidateOn: 0 * * * *
#input: string table [Data table]
#output: int result
...
--name: ActivityDetails
--connection: Chembl
--meta.cache: all
--meta.cache.invalidateOn: 0 0 * * *
--input: string target = "CHEMBL1827"
SELECT * FROM activity_details WHERE target_id = @target
--end
Use meta.cache.invalidateOn with a cron expression to control when cached results expire:
| Cron expression | Meaning |
|---|---|
0 * * * * | Every hour |
0 0 * * * | Every day at midnight |
0 0 * * 1 | Every Monday at midnight |
0 0 1 * * | First day of each month |
If meta.cache.invalidateOn is not specified, the cache never expires automatically.
Instead of annotating each query, enable caching at the connection level:
Via UI: Right-click the connection > Edit... > check Cache Results and optionally fill Invalidate On.
Via connection JSON:
{
"name": "Northwind",
"parameters": {
"server": "db.example.com",
"port": 5432,
"db": "mydb",
"cacheResults": true,
"cacheSchema": false
}
}
allmeta.cache: all unless the user specifies a preference.meta.cache.invalidateOn with an appropriate schedule — warn that without it the cache never refreshes.还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
Add support for a new curve data format in the Curves package converter system
中文简介正在准备中。当前显示原文说明。
Create info panels that appear in the context panel based on semantic types
中文简介正在准备中。当前显示原文说明。
Add a new single-objective optimization algorithm to the sci-comp library. Use when the user asks to implement a new optimizer (e.g. gradient descent, BFGS, simulated annealing, differential evolution).
中文简介正在准备中。当前显示原文说明。
Add unit tests to a Datagrok package
中文简介正在准备中。当前显示原文说明。
Answer a "how do I …" question about the platform with a Gherkin scenario on @datagrok-libraries/bdd that is filmed into a how-to video (grok-bdd guide), so the answer is demonstrated, sent as a video plus numbered steps, and kept as a regression test; the same scenarios, filmed in help mode, are the GIFs of the help pages
中文简介正在准备中。当前显示原文说明。
Translate hand-written Playwright specs (or any existing UI tests) into Gherkin features on @datagrok-libraries/bdd, then prove the features test what they claim by backward-matching them against the originals with independent reviewers, and fix the gaps in the core, the library and the features
中文简介正在准备中。当前显示原文说明。