creating file stracture for dbt models

[Ritik574-coder]

Summary by CodeRabbit

• Documentation

  • Updated data pipeline guide with revised project structure and naming conventions.

• Improvements

  • Removed row limit on inventory data queries to return all records.
  • Enhanced transaction data standardization and deduplication logic.

• Refactor

  • Consolidated data schema configurations and removed redundant source definitions.

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[coderabbitai]

Caution

Review failed

Pull request was closed or merged during review

📝 Walkthrough

Walkthrough

This PR introduces entity schema definitions for data agents, updates dbt pipeline documentation to reflect a staging/intermediate/marts structure with new naming conventions, and enhances data exploration queries with standardization logic and deduplication for transaction records.

Changes

Data Pipeline Schema and Exploration Refactoring

Layer / File(s)	Summary
Entity schema definitions for data agents .qodo/agents/customers.txt, .qodo/agents/employees.txt, .qodo/agents/inventory.txt, .qodo/agents/products.txt, .qodo/agents/returns.txt, .qodo/agents/reviews.txt, .qodo/agents/stores.txt, .qodo/agents/transactions.txt	Field schemas are defined for eight core entities: customers (identifiers, demographics, contact/address, account fields), employees (IDs, contact, job/department, compensation, performance, manager reference), inventory (snapshot date, product/SKU details, stock metrics, warehouse location), products (product IDs, pricing, margins, attributes, supplier/warranty, ratings), returns (IDs, customer/product references, return metadata, refund details, handler info), reviews (IDs, ratings, customer/product info, verification, engagement metrics), stores (IDs, location, contact, operations, facility metrics, amenities), and transactions (comprehensive table definition with customer/product/order denormalization, foreign key relationships, and sample schema with Customer/Order/OrderLine/Product/OrderStatus tables).
Pipeline documentation structure and naming conventions DATA_PIPELINE_GUIDE.md	Documentation tree is updated to show staging/ and intermediate/ folders with src_*.sql and int_*.sql file naming by domain (customers, employees, products, transactions), replacing prior bronze//silver/ layout. Marts example is updated to use fct_*.sql (instead of fact_*.sql) for fact models in the facts/ folder while retaining dimensions/ and reporting/ organization.
Data exploration and cleaning queries explore_database/inventory/inventory.sql, explore_database/transactions/transactions.sql	Inventory snapshot overview query removes TOP (1000) row limit to return all matching rows. Transaction cleaning logic is enhanced with a new SalesTransaction CTE that standardizes transaction_id (trim and uppercase) and customer names (title case and trim normalization), and two deduplication queries using ROW_NUMBER() partitioned by transaction_id to return one customer record per transaction (one inline, one via clean_transaction CTE limited to TOP 100).

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~12 minutes

Possibly related PRs

• Ritik574-coder/dbt_learning_project#74: Both PRs modify explore_database/transactions/transactions.sql to refine transaction data cleaning and deduplication logic.
• Ritik574-coder/dbt_learning_project#53: Both PRs update DATA_PIPELINE_GUIDE.md to document dbt pipeline structure and naming conventions.

Suggested reviewers

• ritsky-project

Poem

🐰 Schemas take shape, field by field so neat,
Transaction rows dedupe with a dancing beat,
Staging to marts, the pipeline flows true,
Data exploration finds the cleanest view,
A refactoring complete, both old and new! 🌟

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 inconclusive)

Check name	Status	Explanation	Resolution
Title check	❓ Inconclusive	The title mentions 'file structure for dbt models' but the changeset includes schema files, data pipeline documentation updates, SQL exploration queries, and dbt model changes across multiple areas—not primarily focused on establishing dbt model file structure.	Clarify the title to reflect the full scope: consider 'Add data schemas and update dbt models structure' or 'Set up agent schemas and refactor dbt layers' to better represent all changes across documentation, configuration, and SQL files.

✅ Passed checks (4 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.
Linked Issues check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check	✅ Passed	Check skipped because no linked issues were found for this pull request.

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✨ Finishing Touches

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Commit unit tests in branch dbt_branch

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[github-actions]

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[Ritik574-coder]

adding file strecture for data build tool's models