Add support for a new curve data format in the Curves package converter system
日本語の概要は準備中です。原文の説明を表示しています。
Add caching to Datagrok functions using meta.cache annotations
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
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.まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Add support for a new curve data format in the Curves package converter system
日本語の概要は準備中です。原文の説明を表示しています。
Create info panels that appear in the context panel based on semantic types
日本語の概要は準備中です。原文の説明を表示しています。
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).
日本語の概要は準備中です。原文の説明を表示しています。
Add unit tests to a Datagrok package
日本語の概要は準備中です。原文の説明を表示しています。
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
日本語の概要は準備中です。原文の説明を表示しています。
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
日本語の概要は準備中です。原文の説明を表示しています。