CodeRabbit Generated Unit Tests: Add unit tests for PR changes

[coderabbitai]

Unit test generation was requested by @haritamar.

• feat: add MinIO S3 CSV seeder for Spark integration tests #950 (comment)

The following files were modified:

• integration_tests/tests/test_data_seeder.py
• integration_tests/tests/test_dbt_project.py

[coderabbitai]

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[github-actions]

👋 @coderabbitai[bot]
Thank you for raising your pull request.
Please make sure to add tests and document all user-facing changes.
You can do this by editing the docs files in the elementary repository.

[coderabbitai]

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🧩 Analysis chain

🏁 Script executed:

#!/bin/bash
# Read the modified test files to understand what changes were made
echo "=== test_data_seeder.py ==="
cat integration_tests/tests/test_data_seeder.py

echo -e "\n\n=== test_dbt_project.py ==="
cat integration_tests/tests/test_dbt_project.py

Length of output: 46194

---

@github-actions[bot] Thank you for the reminder!

However, this PR is specifically for adding unit tests to the codebase, as requested by @haritamar. The modified files are test files:

• integration_tests/tests/test_data_seeder.py - comprehensive unit tests for the data seeding module
• integration_tests/tests/test_dbt_project.py - comprehensive unit tests for the dbt project module

Since this PR:

1. ✅ Already contains tests - that's the entire purpose of this PR
2. ✅ Has no user-facing changes - only test files were modified, no production code changes

No documentation updates are needed. The unit tests themselves are the deliverable for this PR.

---

🧠 Learnings used

Learnt from: GuyEshdat
Repo: elementary-data/dbt-data-reliability PR: 838
File: integration_tests/tests/dbt_project.py:191-201
Timestamp: 2025-08-10T11:29:19.004Z
Learning: In the Elementary dbt package integration tests, BigQuery works correctly with the default `("database", "schema")` property mapping in the `get_database_and_schema_properties` function. When using `target.database` and `target.schema` in source definitions, BigQuery's dbt adapter handles these references appropriately without requiring special mapping to `project` and `dataset`.