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Vibedata

Build something that is not there yet

Build the calendar and fiscal-period dimension every mart shares

  • When week boundaries differ between two reports because each model computes its own calendar logic.
  • When a new mart is built and its author writes yet another date spine instead of referencing the one that already exists.

Build one shared calendar dimension with ISO week, fiscal periods on a stated basis, holidays and business-day flags, plus relative-period helpers. Existing models that compute their own calendar logic still need to be pointed at this dimension; that refactor is tracked separately per model.

Area
Transformation
Runs on
  • Microsoft Fabric Lakehouse
  • Microsoft Fabric Warehouse
  • MotherDuck
  • DuckDB
Built with
  • dbt
Industry
Retail, Banking, Manufacturing, Healthcare, Life sciences, Utilities
Readiness
SupportedEverything this Recipe composes runs today, without a case that proves this exact shape.

Sample This Recipe has not been materialized in the Cookbook repository yet. Its trigger, description, prompt, agent guidance and acceptance conditions, and the explanation below, are prototype drafts. Its name, job, area and readiness come from the reconciled Cookbook seed snapshot. Readiness is a separate question from this one: it says whether the capability exists, not whether the writing has been reviewed.

Use this Recipe

Use the VibeData Recipe `shared-calendar-fiscal-periods` at https://getvibedata.ai/cookbook/shared-calendar-fiscal-periods Read the Recipe and execute it in the context of the current Intent.

Recipe id shared-calendar-fiscal-periods · Not yet materialized in the Cookbook repository, so the pointer addresses this page.

Verified by

What has to be observably true before this Recipe is finished.

  • every date maps to exactly one fiscal period
  • the date spine has no gaps across its stated range
  • a holiday flag matches the stated holiday calendar for its country
  • a relative-period helper such as "prior fiscal quarter" resolves to the same dates every time it is used
Recipe promptThe task specification the agent reads. Reference only — it is not what you copy.
Deliver: Build the calendar and fiscal-period dimension every mart shares.

Build one shared calendar dimension with ISO week, fiscal periods on a stated basis, holidays and business-day flags, plus relative-period helpers. Existing models that compute their own calendar logic still need to be pointed at this dimension; that refactor is tracked separately per model.

Execute inside the current Intent. Its Domain, repository, platform, environment and attached sources are the context for this work — read them rather than asking for them.

The work is done when:
- every date maps to exactly one fiscal period
- the date spine has no gaps across its stated range
- a holiday flag matches the stated holiday calendar for its country
- a relative-period helper such as "prior fiscal quarter" resolves to the same dates every time it is used

Report the evidence for each condition above with the result. A condition you cannot meet is something to say, not something to work around.
Agent guidanceHow the agent approaches the work, and what it will not do.

Profile the inputs the grain, joins and measures actually depend on before proposing a model. Put the design up for review — grain first — then build in an isolated copy with tests and documentation landing beside the model rather than after it.

Composes

  • dbt model authoring and layering
  • dbt in the project
  • isolated-copy execution and gate verification

Asks first

Semantic decisions the Intent cannot supply. Never context Studio already holds.

  • which Fabric target this work lands on, when the Domain carries both a Lakehouse and a Warehouse

Guardrails

  • Build in an isolated copy. Production is read, never written.

What you need

  • Microsoft Fabric Lakehouse, Microsoft Fabric Warehouse, MotherDuck, or DuckDB.
  • A dbt project you can build, and read access to the models it starts from.
  • dbt in the project, or the intent to add it.

How it goes

  1. State the outcome in one sentence, in the language the request arrived in.
  2. Let it profile the inputs the grain, the joins and the measures actually depend on.
  3. Review the design. Disagreeing about grain here costs a sentence; after the model exists it costs a rewrite.
  4. Let it build in an isolated copy, with the tests and the documentation landing beside the model rather than after it.
  5. Read the acceptance conditions against the run.

What you end up with

The deliverable, in your own repository, as transformation work a reviewer who knows the project reads as native to it. Alongside it, the evidence for every one of the acceptance conditions above — which is the part that is still there in three weeks when somebody asks.