Rafał Tyński
03e2d66ca4
Add a pluggable LLM provider with an offline template fallback, prompt builder, contextual match scoring (area/location boosts, availability), per-solution explanations and in-memory request limiting for cost control.
30 lines
818 B
C#
30 lines
818 B
C#
namespace TarninaHub.Application.Matchmaking;
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/// <summary>
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/// Deterministic, offline explanation of "why this fits". Used as the default
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/// and as a fallback when the LLM is unavailable or rate-limited.
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/// </summary>
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public static class RationaleBuilder
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{
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public static string Build(bool challengeMatch, bool locationMatch, double score)
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{
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var reasons = new List<string>();
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if (challengeMatch)
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{
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reasons.Add("ten sam obszar problemowy");
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}
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if (locationMatch)
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{
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reasons.Add("zbliżona lokalizacja");
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}
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reasons.Add(score >= 0.3
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? "wysoka zbieżność opisu potrzeby"
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: "zbieżność semantyczna opisu");
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return "Proponowane dopasowanie: " + string.Join(", ", reasons) + ".";
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}
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}
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