Repo Selection Guide by Task
This page helps answer the most common question in the BriteCore stack: which repo should I use for this task?
Quick chooser
I need a lightweight source-level view
Use the layer that matches your access and desired amount of aggregation.
This is not a strict pipeline. You can start with:
- raw CSVs if you want point-in-time exports and offline access with minimal formatting
- the API if you want real-time or near-real-time structured domain objects
- the SQL/report layer if you want a preformatted, easy-to-query reporting view
I need to inspect raw export structure
Use: britecore-csv-loader
Best for:
- exploring exported CSV datasets
- understanding
*Idrelationships - reconstructing policy snapshots
- testing relationship assumptions before report design
I need to land or normalize source data into warehouse tables
Use: policy-data-warehouse
Best for:
- raw-to-core-to-reporting workflows
- SQL-based validation
- staging landed data for reporting
- preserving raw semantics while creating reporting views
I need a multi-source reporting answer across BriteCore and MIPS
Use: PolicyReporting
Best for:
- cross-source service-layer logic
- fan-out queries across data sources
- report object assembly
- shared reporting workflows across systems
I need a NAIC-specific data extraction or report output
Use: NAIC
Best for:
- form mapping and normalization
- regulatory extraction logic
- report generation tasks
- validation of source readiness before a regulatory run
I need to understand logical/report-table semantics
Use: britecore_mcp or britecore_sql_reports
Best for:
- logical-layer discovery
- report-table definitions
- field names and reporting grain
- report authoring and validation SQL
I need API access or SDK-based automation
Use: britecore_sdk
Best for:
- live API call patterns
- auth/config usage
- client and integration automation
I need ecosystem explanation, not implementation detail
Use: britecore_docs
Best for:
- architecture and edge-case summaries
- repo ownership and boundary rules
- semantic bridge knowledge
- onboarding and cross-project framing
Decision rule
The simplest rule is this:
- source and implementation detail → owning repo
- ecosystem explanation and cross-project bridge →
britecore_docs
If the task is ambiguous, start by asking:
- Is this raw data, warehouse data, or reporting data?
- Is the deliverable a source implementation change or a cross-project answer?
- Is the output meant for regulators, SQL reporting, or operational analysis?
Common confusion patterns
“This looks like a report problem, but the raw CSVs are the only source I have.”
Check britecore-csv-loader first for raw structure and lineage. Then move to policy-data-warehouse or PolicyReporting when a reporting-ready shape is needed.
“This is a status problem, not a report issue.”
Check the BriteCore docs for status and cancellation semantics; then decide whether the reporting layer needs normalized status or raw descriptive reason text.
“I need the answer across sources.”
That is usually a PolicyReporting or warehouse-layer question, not a raw export question.
“I need to produce a regulatory output.”
Likely NAIC, unless your source data still needs warehouse or raw validation first.
Recommended default workflow
For many business and data-quality questions, the route is:
- raw relationship check in
britecore-csv-loader - warehouse semantics in
policy-data-warehouse - matching/report assembly in
PolicyReporting - regulatory output work in
NAIC - ecosystem explanation in
britecore_docs
This keeps the stack understandable without forcing every question into a single repo.