70 lines
4.1 KiB
Gherkin
70 lines
4.1 KiB
Gherkin
Feature: Google Gemini chat provider coverage
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As a maintainer integrating real provider adapters
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I want unit-level Behave scenarios for the Google Gemini chat provider
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So that the implementation stays documented and regression tested
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@unit @providers @google
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Scenario: Google provider instantiates ChatGoogleGenerativeAI with provided credentials
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Given I have sample provider domain inputs
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When I create a Google chat provider with API key "AIzaSy-unit-test" and model "gemini-2.0-flash"
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And I request plan generation from the Google provider
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Then the Google provider should construct ChatGoogleGenerativeAI with api key "AIzaSy-unit-test" and model "gemini-2.0-flash"
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And the Google provider metadata should report name "google" and model "gemini-2.0-flash"
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@unit @providers @google
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Scenario: Google provider stubbed response reports metadata
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Given I have sample provider domain inputs
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And I create a Google chat provider with API key "AIzaSy-unit-test" and model "gemini-2.0-flash"
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When I request plan generation from the Google provider
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Then the Google provider response should contain no generated changes
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And the Google provider response should report the requested model without errors
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@unit @providers @google
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Scenario: Google provider rejects missing API key
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Given I have sample provider domain inputs
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When I attempt to create a Google chat provider without an API key
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Then the Google provider creation should fail with error "Google API key is required"
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@unit @providers @google
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Scenario: Google provider forwards optional kwargs
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Given I have sample provider domain inputs
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And I set the Google provider extra kwargs "temperature=0.35,max_output_tokens=2048"
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When I create a Google chat provider with API key "AIzaSy-unit-test" and model "gemini-2.0-flash"
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And I request plan generation from the Google provider
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Then the Google provider should construct ChatGoogleGenerativeAI with api key "AIzaSy-unit-test" and model "gemini-2.0-flash"
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And the Google provider should include kwargs "temperature=0.35,max_output_tokens=2048" in the ChatGoogleGenerativeAI call
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@unit @providers @google
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Scenario: Google provider reports runtime errors
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Given I have sample provider domain inputs
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And I create a Google chat provider with API key "AIzaSy-unit-test" and model "gemini-2.0-flash"
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And the plan generation graph raises RuntimeError "deadline reached"
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When I request plan generation from the Google provider
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Then the Google provider response should report error "deadline reached"
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And the Google provider response should contain no generated changes
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@unit @providers @google
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Scenario: Google provider streaming yields workflow events
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Given I have sample provider domain inputs
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And the plan generation graph returns a generated change for "app/stream.py"
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And the plan generation graph emits streaming nodes "load_context,analyze_requirements,generate_plan,validate"
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And I create a Google chat provider with API key "AIzaSy-unit-test" and model "gemini-2.0-flash"
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When I stream plan generation from the Google provider
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Then the Google provider streaming events should include nodes "load_context,analyze_requirements,generate_plan,validate"
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And the Google provider streaming result should finish with a response containing 1 generated change
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@unit @providers @google
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Scenario: Google provider surfaces plan generation errors
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Given I have sample provider domain inputs
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And the plan generation graph raises ValueError "graph exploded"
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And I create a Google chat provider with API key "AIzaSy-unit-test" and model "gemini-2.0-flash"
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When I request plan generation from the Google provider
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Then the Google provider response should report error "graph exploded"
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And the Google provider response should contain no generated changes
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@unit @providers @google
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Scenario: Google provider supports streaming responses
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Given I have sample provider domain inputs
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And I create a Google chat provider with API key "AIzaSy-unit-test" and model "gemini-2.0-flash"
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Then the Google provider should support streaming responses
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