- Split monolithic blog_generation.feature into separate files per feature:
* blog_generation.feature: On-demand AI blog generation (3 scenarios)
* blog_scheduling.feature: Scheduled posts (2 scenarios)
* llm_provider_selection.feature: Multi-provider routing (6 scenarios)
* seo_population.feature: SEO field population (1 scenario)
* notification_email.feature: Post-generation emails (2 scenarios)
Total: 14 BDD scenarios covering all major workflows
- Extended test_bdd_steps.py from 363 to 472 lines with new step definitions:
* Added no_email_sent() for draft post email suppression verification
* Added email_contains_title() for email content validation
* Added email_contains_social_copy() for platform copy verification
* Added blog_post_has_tags(), blog_post_has_tag() for tag verification
* Added blog_post_has_social_copy(), at_least_one_platform_enabled()
* Added log_has_correct_provider(), log_has_correct_model()
* Added log_trigger_source(), generation_duration_recorded()
Follows pytest-bdd best practices: one feature per file, each with dedicated
scenarios and step definitions. All 14 scenarios now have complete step coverage.
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
Nicholas Riegel
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