add-curve-format
FreeAdd support for a new curve data format in the Curves package converter system
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Guide for logging errors, warnings, and info messages in Datagrok packages
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See how to installReview the instructions the agent will receive before you install.
Help the user choose and implement the correct logging/notification approach in Datagrok packages.
/datagrok-logging
Toast notifications shown to the user. Primary methods for communicating from package code.
import * as grok from 'datagrok-api/grok';
// Green balloon — success or informational
grok.shell.info('Operation completed');
// Red balloon — error
grok.shell.error('Something went wrong');
// Yellow balloon — warning
grok.shell.warning('Check your settings');
All three accept string | HTMLElement and an optional BalloonOptions:
interface BalloonOptions {
oneTimeKey?: string; // Show only once per key (prevents repeated identical messages)
copyText?: string; // Text copied to clipboard on click
autoHide?: boolean; // Auto-hide after timeout (default: true)
timeout?: number; // Timeout in seconds (default: 5)
}
grok.shell.error('Failed to connect', { timeout: 10 });
grok.shell.info('Copied!', { oneTimeKey: 'copy-hint', autoHide: true });
For audit trails, usage tracking, and debug logging recorded on the Datagrok server. These do NOT show UI notifications.
import * as DG from 'datagrok-api/dg';
// Create a logger (optionally with default params attached to every entry)
const logger = DG.Logger.create({ params: { source: 'MyPackage' } });
// Log levels
logger.debug('Detailed diagnostic info', { step: 'init' });
logger.info('Normal operation', { action: 'loaded' });
logger.warning('Potential issue', { config: 'missing' });
logger.error('Something failed', { context: 'upload' }, stackTrace);
logger.audit('User did something', { item: 'report' });
logger.usage('Feature used', { feature: 'export' });
Automatically tags log entries with the package name:
const logger = new DG.PackageLogger(_package);
logger.error('Connection failed'); // tagged with package name
DG.LOG_LEVEL.DEBUG // 'debug'
DG.LOG_LEVEL.INFO // 'info'
DG.LOG_LEVEL.WARNING // 'warning'
DG.LOG_LEVEL.ERROR // 'error'
DG.LOG_LEVEL.AUDIT // 'audit'
DG.LOG_LEVEL.USAGE // 'usage'
For long-running operations with status updates shown in the task bar:
const pi = DG.TaskBarProgressIndicator.create('Processing...', { cancelable: true });
pi.update(50, 'Half done');
pi.log('Step 1 finished'); // Append to progress log
pi.close();
Subscribe to all log events in real time:
grok.events.onLog.subscribe((msg) => {
console.log(`[${msg.level}] ${msg.message}`, msg.params);
});
| Scenario | Method |
|---|---|
| Tell the user something succeeded | grok.shell.info() |
| Show a user-facing error | grok.shell.error() |
| Show a user-facing warning | grok.shell.warning() |
| Log for debugging (server-side) | logger.debug() / logger.info() |
| Record errors for diagnostics | logger.error(message, params, stackTrace) |
| Track feature usage | logger.usage() |
| Audit user actions | logger.audit() |
| Show progress for long ops | DG.TaskBarProgressIndicator |
| Internal dev logging (not recorded) | console.log() / console.warn() |
console.log for production logging — use DG.Logger for server-side or grok.shell.* for user-facing.console.warn / console.error are acceptable for development diagnostics but won't be recorded on the server.grok.shell.warning() over grok.shell.error() for non-critical issues (e.g., missing optional config).grok.shell.error() for failures that block the user's workflow.oneTimeKey when a notification could fire repeatedly (e.g., in a loop or event handler).No reviews yet. Tell others what you thought.
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Add support for a new curve data format in the Curves package converter system
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Create info panels that appear in the context panel based on semantic types
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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).
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Add unit tests to a Datagrok package
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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
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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
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