BE-798: Configurable timeframe for generated SAP data

[thehabbos007]

It's quite a large diff, i suggest looking only at the commit Configurable timeframe for generated data to get rid of noise from running ruff format

• Adds timeframe start/end date or integer duration_days
• Scales order counts to the timeframe unless explicitly set
• Generates only the requested period, so shorter runs do less work

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Project	Deployment	Actions	Updated
petrinaut-gaios	Error		Sep 14, 2026 1:15pm UTC
petrinaut-hazel	Ready	Preview	Sep 14, 2026 1:15pm UTC

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PR Summary

Medium Risk
Introduces a large alternate generation path for all transactional data and changes how scenarios apply when a timeframe is configured, which could shift dataset shape and integrity compared to the legacy flow.

Overview
Adds a Timeframe on GenerationConfig (start plus end or duration_days) so generation can target a bounded calendar window. The CLI, local/Databricks notebooks, and README expose the same options (--start-date, --end-date, --duration-days).

When a timeframe is set, generate_dataset still builds master data, then runs a new scheduled, event-queue transaction engine (scheduled.generate) instead of the legacy bulk transactions.generate. Order volume defaults scale with timeframe.days / 365 unless num_orders is explicit; master-data timestamps anchor to the day before the window. Scenarios are woven into the schedule (ScenarioSchedule) rather than the separate post-hoc injection path used without a timeframe. A temporal consistency check fails the run if generated dates fall outside the window.

The diff also includes Ruff formatting and lint cleanups across Databricks pipeline notebooks (imports, bare except, f-strings without placeholders, %pip magic) and minor notebook/metadata tweaks—no change to those pipelines’ business logic beyond style.

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