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The actor CLI was ignoring the v3 ActorConfigSchema format, preventing spec-compliant actors with type/route/skills/lsp fields from being registered or executed. Three components were fixed: ActorConfiguration.from_blob() now detects v3 format (top-level "type" key with value llm/graph/tool) and extracts provider from the model string, falling through to v2 extraction when v3 does not match. ActorRegistry.add() now routes v3 YAML through full ActorConfigSchema validation, persists description/skills/lsp in the config blob, and compiles graph actors with compile_actor() storing metadata. Legacy v2 YAML continues through the original path unchanged. ReactiveConfigParser._build() now synthesises reactive agents and graph routes from v3 actor data so that agents actor run can execute v3 actors through the existing ReactiveCleverAgentsApp pipeline. ISSUES CLOSED: #6283
42 lines
2.1 KiB
Gherkin
42 lines
2.1 KiB
Gherkin
Feature: ActorConfiguration.load_yaml_text and defensive paths
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Coverage-boost scenarios targeting uncovered lines in actor/config.py
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# --- load_yaml_text: JSON null input (lines 50-51) ---
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Scenario: load_yaml_text returns empty dict for JSON null
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When I call load_yaml_text with "null"
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Then the load_yaml_text result should be an empty dict
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# --- load_yaml_text: JSON non-dict input (lines 52-53) ---
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Scenario: load_yaml_text raises ValueError for a JSON string
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When I call load_yaml_text with a JSON string value
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Then a ValueError with message containing "object" should be raised
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Scenario: load_yaml_text raises ValueError for a JSON array
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When I call load_yaml_text with a JSON array value
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Then a ValueError with message containing "object" should be raised
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Scenario: load_yaml_text raises ValueError for a JSON integer
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When I call load_yaml_text with a JSON integer value
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Then a ValueError with message containing "object" should be raised
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# --- load_yaml_text: valid JSON dict (line 54) ---
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Scenario: load_yaml_text returns parsed dict for valid JSON object
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When I call load_yaml_text with '{"provider": "openai", "model": "gpt-4"}'
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Then the load_yaml_text result should have key "provider" equal to "openai"
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And the load_yaml_text result should have key "model" equal to "gpt-4"
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Scenario: load_yaml_text returns parsed dict for empty JSON object
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When I call load_yaml_text with '{}'
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Then the load_yaml_text result should be an empty dict
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# --- load_yaml_text: YAML fallback path ---
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Scenario: load_yaml_text falls back to YAML for non-JSON input
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When I call load_yaml_text with YAML text "provider: openai\nmodel: gpt-4\n"
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Then the load_yaml_text result should have key "provider" equal to "openai"
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# --- load_yaml_text: interpolation returns non-dict (line 89) ---
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Scenario: load_yaml_text raises ValueError when interpolation returns non-dict
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Given interpolate_env_vars is patched to return a list
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When I call load_yaml_text with valid YAML via patched interpolation
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Then a ValueError with message containing "object" should be raised
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