fix(onboarding): decouple partial/indicative signals from detected — partial no longer removes a question
Fix B of the pre-#59 semantic correction. The Silent Pass had only TWO effective states though the data
carries three: a `detected` mapping (a concrete artifact) AND a `partial` mapping (an indicative signal,
e.g. a CI pipeline -> secure-development-lifecycle) both flowed through capability_ids() and were fed to
the Advisor as already-present — so a weak indication silently removed a question, exactly the Welt-1/
Welt-2 transparency we want to keep.
Now three distinct states:
- detected -> reduces the delta immediately (auto_detected, not asked). [unchanged]
- partial -> raises assumption strength but does NOT replace the question (surfaced as `indications`,
the capability stays in the delta and is still asked).
- requirement-> describes a target, never the present state (already handled by Fix A's kind split).
Changes (data + thin wiring, no new architecture):
- SilentIntakeResult.capability_ids() returns only relationship==detected; new indicative_capability_ids()
returns the partial ones.
- advisor_start() gains indicative_capabilities (NOT fed into the profile) and surfaces result.indications
= indicative ∩ required − auto_detected.
- AdvisorResult / AdvisorResponse gain `indications` (additive, contract-safe); the service passes the
indicative ids through.
Tests: a partial CI signal is indicative-not-detected and does NOT shrink the delta; end-to-end it appears
in `indications`, not `auto_detected`, and the gap is still asked. 28 onboarding tests pass, mypy --strict
clean on the onboarding modules, demo runs, check-loc 0. Runtime effect -> deploy + smoke.
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@@ -53,7 +53,8 @@ class AdvisorMeasure(BaseModel):
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class AdvisorResult(BaseModel):
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inferred_assumptions: List[InferredAssumption] = Field(default_factory=list)
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rejected_assumptions: List[RejectedAssumption] = Field(default_factory=list)
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auto_detected: List[str] = Field(default_factory=list) # Silent Pass: recognised w/o asking
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auto_detected: List[str] = Field(default_factory=list) # detected (concrete artifact): recognised w/o asking
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indications: List[str] = Field(default_factory=list) # partial signal: raises assumption strength, STILL asked
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next_best_questions: List[AdvisorQuestion] = Field(default_factory=list) # max 5
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capability_delta: List[str] = Field(default_factory=list)
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top_measures: List[AdvisorMeasure] = Field(default_factory=list)
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