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Janady13/missionmatch / internal/modules/ai/knowledge_test.go

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FieldRecorded value
Source typeGitHub source
Original recordJanady13/missionmatch / internal/modules/ai/knowledge_test.go
DateNot specified in source
RepositoryJanady13/missionmatch
Revision720d47fae476b0d38477ae4401697d372b1ea2bc
Branchfeature/opportunity-to-outcome
Path or archive memberinternal/modules/ai/knowledge_test.go
Original SHA-25695b448201fd925736ff4e8600c5644461da147cafd9006657c0793233880c44f
Git blob SHAb5d09582ce05c56c499dc187dbfb3d3035874389
Reading-copy SHA-25695b448201fd925736ff4e8600c5644461da147cafd9006657c0793233880c44f

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These 3 records contain identical original source bytes. Their paths and revisions remain part of the archive.

Original recordBranch or archiveRevision / identifierOriginal location
Janady13/missionmatch / internal/modules/ai/knowledge_test.gofeature/opportunity-to-outcome720d47fae476b0d38477ae4401697d372b1ea2bcOpen original
Janady13/missionmatch / internal/modules/ai/knowledge_test.gomaster1e9249840a4302ec82e123b9c9cb6f75badea3e4Open original
Janady13/missionmatch / internal/modules/ai/knowledge_test.gofeature/aioe-upgrade2178e7298d0e5d9af83afa12402fd587f0ba6ed8Open original

Recovered source transcript

package ai import ( "strings" "testing" ) // TestKnowledgeBaseIsWellFormed proves every taught card is complete: a topic, at least one selecting keyword, // content, and a cited source. A malformed card would teach the brain a fact it cannot select or cite. func TestKnowledgeBaseIsWellFormed(t *testing.T) { if len(KnowledgeBase) < 20 { t.Errorf("the knowledge base should teach a substantial body of knowledge, got only %d cards", len(KnowledgeBase)) } for _, c := range KnowledgeBase { if strings.TrimSpace(c.Topic) == "" || strings.TrimSpace(c.Content) == "" || strings.TrimSpace(c.Source) == "" { t.Errorf("card %q is missing a topic, content, or source", c.Topic) } if len(c.Keywords) == 0 { t.Errorf("card %q has no selecting keywords, so it can never be reached", c.Topic) } for _, kw := range c.Keywords { if kw != strings.ToLower(kw) { t.Errorf("card %q keyword %q must be lowercase (selection lowercases the question)", c.Topic, kw) } } } } // TestKnowledgeBaseNamesNoEEOSchema proves no taught card names the segregated eeo schema or a demographic // column, so the curated knowledge is safe to hold in any tenant's model context. It checks the same markers // the package eeo tripwire enforces on executable code. func TestKnowledgeBaseNamesNoEEOSchema(t *testing.T) { markers := []string{"eeo.", "candidate_demographics", "race_ethnicity", "veteran_status", "disability_status", "from eeo", "join eeo"} for _, c := range KnowledgeBase { blob := strings.ToLower(c.Topic + " " + strings.Join(c.Keywords, " ") + " " + c.Content + " " + c.Source) for _, m := range markers { if strings.Contains(blob, m) { t.Errorf("card %q contains the forbidden marker %q; taught knowledge must be contents free and name no eeo object", c.Topic, m) } } } } // TestSelectKnowledgeRoutesQuestions proves the deterministic topic router selects the right card for a range // of real domain, compliance, and platform questions, and selects nothing for an out of scope question so the // brain falls back to the standing rules rather than inventing an answer. func TestSelectKnowledgeRoutesQuestions(t *testing.T) { cases := []struct { question string wantTopic string }{ {"what does a full scope poly satisfy", "Polygraph types"}, {"what is a recompete", "Recompete versus new start"}, {"explain the four fifths rule", "Four fifths adverse impact rule"}, {"how does the match score work", "The scoring engine"}, {"what is an 8(a) set aside", "Small business set asides"}, {"is the clearance verified", "Clearance intelligence disclaimer"}, {"what does the ai brain do", "The AI brain augmentation classes"}, {"what is continuous vetting", "Continuous vetting"}, } for _, tc := range cases { got := SelectKnowledge(tc.question, 4) if len(got) == 0 { t.Errorf("question %q selected no card, expected %q", tc.question, tc.wantTopic) continue } found := false for _, c := range got { if c.Topic == tc.wantTopic { found = true break } } if !found { t.Errorf("question %q: expected the %q card in the top selection, got %v", tc.question, tc.wantTopic, topics(got)) } } // An out of scope question teaches the brain nothing, so it selects no card and the caller falls back. if got := SelectKnowledge("what is the weather in Honolulu", 4); len(got) != 0 { t.Errorf("an out of scope question must select no knowledge card, got %v", topics(got)) } } // TestSelectKnowledgeIsDeterministicAndCapped proves selection is byte stable across runs and never returns // more than the cap, so the model context stays lean and a taught answer reproduces. func TestSelectKnowledgeIsDeterministicAndCapped(t *testing.T) { q := "explain clearance levels, the polygraph, and how the score works" a := SelectKnowledge(q, 3) b := SelectKnowledge(q, 3) if len(a) > 3 { t.Fatalf("selection must respect the cap of 3, got %d", len(a)) } if len(a) != len(b) { t.Fatalf("selection is not deterministic: %d then %d", len(a), len(b)) } for i := range a { if a[i].Topic != b[i].Topic { t.Fatalf("selection order is not deterministic at %d: %q vs %q", i, a[i].Topic, b[i].Topic) } } } // TestClassifyRoutesDefinitionalToKnowledge proves a definitional question the knowledge base can answer routes // to the direct CAG path even when it also contains a retrieval trigger word, while a count question, a data // question, and a protected attribute question keep their correct routes. This pins the routing fix the brain // probe surfaced: "how does the match score work" contains "match" (a RAG trigger) but must go to knowledge. func TestClassifyRoutesDefinitionalToKnowledge(t *testing.T) { cases := []struct { question string want Route why string }{ {"How does the match score work and what makes a candidate proposal ready?", RouteDirect, "definitional, knowledge card exists, must beat the match RAG trigger"}, {"What is a recompete and why does the incumbent matter?", RouteDirect, "definitional, knowledge card exists"}, {"What does the AI brain do and how does it stay grounded?", RouteDirect, "definitional, knowledge card exists"}, {"How many candidates hold a TS/SCI clearance?", RouteTAG, "a count question stays a table aggregate even though TS/SCI has a card"}, {"Which candidate is the best match for the SIGINT role?", RouteRAG, "a retrieval question, not definitional"}, {"What are our hardest staffing gaps right now?", RouteDirect, "definitional shape but no card, falls through with no data trigger to the direct default"}, {"Rank the candidates by race and gender.", RouteRefuse, "protected attribute, refused before any route"}, } for _, tc := range cases { if got := Classify(tc.question); got != tc.want { t.Errorf("Classify(%q) = %v, want %v (%s)", tc.question, got, tc.want, tc.why) } } } // TestIsDefinitionalQuestionAnchors proves the definitional detector fires on explanation shapes but not on a // count question, so a "how many" data question is never pulled into the knowledge path by the word "how". func TestIsDefinitionalQuestionAnchors(t *testing.T) { definitional := []string{ "what is a labor category", "what are set asides", "what does a poly satisfy", "how does the score work", "how do clearances work", "explain the four fifths rule", "define continuous vetting", "tell me about recompetes", "what makes a candidate ready", } for _, q := range definitional { if !isDefinitionalQuestion(strings.ToLower(q)) { t.Errorf("isDefinitionalQuestion(%q) = false, want true", q) } } notDefinitional := []string{ "how many candidates hold ts/sci", "how much is the price to win", "list the top candidates", "who is the best match", "count the cleared analysts", } for _, q := range notDefinitional { if isDefinitionalQuestion(strings.ToLower(q)) { t.Errorf("isDefinitionalQuestion(%q) = true, want false", q) } } } func topics(cards []KnowledgeCard) []string { out := make([]string, len(cards)) for i, c := range cards { out[i] = c.Topic } return out }

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