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Add 53 new .feature files and corresponding step definition files targeting uncovered lines identified in build/coverage.xml. Fix AmbiguousStep conflicts in 7 pre-existing step files by disambiguating step text. New tests cover: ACP clients/facade, actor CLI/config, application container, ACMS service/strategies, async worker, automation profile CLI, autonomy guardrail, bridge, change model, config CLI/service, context service, cross-plan correction, database models, decision service, decomposition clustering/service, discovery handler, langchain chat provider, langgraph nodes, materializers, multi-project service, plan apply/CLI/lifecycle/model/ preflight/resume/service, PostgreSQL analyzer, project CLI/context CLI, provider registry, reactive application/route, repositories, resolver handler, resource registry service, resume model, retry patterns, sandbox protocol, server CLI, skill CLI/service, skills registry, subplan execution/service, system CLI, UKO loader, UoW, and YAML template engine. Closes #645
52 lines
2.8 KiB
Gherkin
52 lines
2.8 KiB
Gherkin
Feature: Provider Registry Coverage Boost
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As a developer
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I want to cover remaining untested paths in the ProviderRegistry
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So that edge cases in provider selection and creation are verified
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@unit @providers @registry
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Scenario: Settings default provider is valid but not configured falls through to fallback
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Given a registry where settings default_provider is "openai" but only anthropic key is set
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And CLEVERAGENTS_DEFAULT_PROVIDER env var is cleared
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When I request the default provider type from the boost registry
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Then the boost result should be ProviderType ANTHROPIC
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# Covers lines 335-338: settings_default valid ProviderType but not_configured
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@unit @providers @registry
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Scenario: Azure deployment resolves from settings when model_id is None
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Given a registry with azure API key and deployment setting "my-azure-deploy"
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And the Azure LangChain client is stubbed for boost
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When I call _create_provider_llm for AZURE with model_id None via boost
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Then the stubbed Azure client deployment_name should be "my-azure-deploy"
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# Covers line 502: self._settings.azure_openai_deployment branch
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@unit @providers @registry
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Scenario: Azure deployment falls back to gpt-4o when settings deployment is also empty
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Given a registry with azure API key and no deployment setting
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And the Azure LangChain client is stubbed for boost
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When I call _create_provider_llm for AZURE with model_id None via boost
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Then the stubbed Azure client deployment_name should be "gpt-4o"
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# Covers line 503: final "gpt-4o" fallback
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@unit @providers @registry
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Scenario: Google create_ai_provider uses DEFAULT_MODELS when model_id is empty string
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Given a registry with google API key configured for boost
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When I create an AI provider for google with empty string model_id via boost
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Then the boost AI provider model_id should be "gemini-2.0-flash"
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# Covers line 620: DEFAULT_MODELS.get fallback in Google branch
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@unit @providers @registry
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Scenario: OpenRouter create_ai_provider raises error when API key is missing
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Given a registry with no API keys for boost
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When I try to create an AI provider for openrouter via boost
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Then a boost ValueError should be raised
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And the boost error message should contain "openrouter"
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And the boost error message should contain "not configured"
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# Covers lines 632-637: OpenRouter not-configured error path
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@unit @providers @registry
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Scenario: OpenRouter create_ai_provider uses DEFAULT_MODELS when model_id is empty string
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Given a registry with openrouter API key configured for boost
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When I create an AI provider for openrouter with empty string model_id via boost
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Then the boost AI provider model_id should be "anthropic/claude-sonnet-4-20250514"
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# Covers lines 643-644: DEFAULT_MODELS.get fallback in OpenRouter branch
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