Phase 8, completing milestone M1. A user message is stored and appended as an observation event carrying trust, actor, channel and reference. The perceive process analyses it deterministically (intent, introspection kind, entities, claims, urgency) and, within the per-cycle model allowance, enriches it through the perceive prompt. Its handler writes a perception event, an episodic memory with participants, turns claims into beliefs whose evidence is the message, and builds a response intent from state: beliefs and memories for the topic, evidence rows for why-questions, the uncertain band, contested beliefs and their links, recent learning, status changes, and honest declines for subsystems that do not exist yet or for requests with no capabilities. The respond prompt phrases the intent when a model is assigned; otherwise the reply is a direct rendering of the intent. response_generated cites the message, the perception, every belief and memory used, the episode and the model call. API: conversations, messages with optional wait, one-shot ask; chat UI with live refresh and a per-reply intent view. Sample mind Dani as a strictly decoded seed document with an import endpoint and noemactl mind import. tests/m1 drives all fourteen milestone steps including restart.
225 lines
8.9 KiB
Go
225 lines
8.9 KiB
Go
package conversation
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import (
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"regexp"
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"sort"
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"strings"
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)
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// Analysis is the deterministic understanding of a message. An LLM may
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// enrich it (entities, claims) but these fields are always computed first so
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// the system works without a model and never depends on one for routing.
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type Analysis struct {
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Intent string `json:"intent"` // question | statement | request | correction | greeting | introspection | other
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Introspection string `json:"introspection"` // thinking | beliefs | why | uncertain | contradictions | learned | changed | curious | predictions | surprised | patterns | ""
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Topic string `json:"topic,omitempty"`
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Entities []string `json:"entities"`
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Tokens []string `json:"tokens"`
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Urgency float64 `json:"urgency"`
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Sentiment float64 `json:"sentiment"`
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Claims []Claim `json:"claims"`
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Question string `json:"question,omitempty"`
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Source string `json:"source"` // deterministic | llm
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}
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// Claim is a proposition the sender asserted.
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type Claim struct {
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Proposition string `json:"proposition"`
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Certainty string `json:"certainty"` // asserted | hedged
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}
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var (
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whWords = map[string]bool{"what": true, "why": true, "how": true, "when": true, "where": true, "who": true, "which": true, "is": true, "are": true, "do": true, "does": true, "did": true, "can": true, "could": true, "should": true, "will": true, "was": true, "were": true, "have": true, "has": true}
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greetings = map[string]bool{"hi": true, "hello": true, "hey": true, "morning": true, "evening": true, "thanks": true, "thank": true, "bye": true, "goodbye": true}
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hedges = []string{"i think", "maybe", "perhaps", "possibly", "might", "probably", "not sure", "i guess", "seems"}
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requests = []string{"please", "can you", "could you", "would you", "check", "look into", "investigate", "find out", "tell me", "show me", "list", "explain", "summarise", "summarize"}
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corrections = []string{"that's wrong", "that is wrong", "thats wrong", "you're wrong", "incorrect", "not true", "actually,", "no,", "wrong,", "that's not right", "that is not right"}
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urgentWords = map[string]float64{"urgent": 0.9, "asap": 0.9, "immediately": 0.9, "now": 0.5, "down": 0.8, "outage": 0.9, "broken": 0.7, "failed": 0.7, "failing": 0.7, "error": 0.6, "errors": 0.6, "critical": 0.9, "emergency": 1}
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positive = map[string]bool{"good": true, "great": true, "thanks": true, "excellent": true, "love": true, "nice": true, "works": true, "fixed": true, "happy": true}
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negative = map[string]bool{"bad": true, "broken": true, "hate": true, "terrible": true, "annoying": true, "slow": true, "failed": true, "wrong": true, "frustrated": true, "angry": true, "down": true, "error": true, "errors": true, "outage": true}
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entityRe = regexp.MustCompile(`\b([A-Z][a-zA-Z0-9]+(?:[- ][A-Z][a-zA-Z0-9]+)*|[a-z][a-z0-9]*(?:-[a-z0-9]+)+|[a-z0-9.-]+\.(?:com|net|org|io|local|lan)|[a-z]+[0-9]{1,3})\b`)
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introspect = []struct {
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kind string
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pats []string
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}{
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{"thinking", []string{"what are you thinking", "thinking about", "on your mind", "what are you doing", "what are you working on", "current focus"}},
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{"why", []string{"why do you believe", "why do you think", "what evidence", "how do you know", "what makes you think", "would change your mind"}},
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{"uncertain", []string{"uncertain about", "unsure about", "not sure about", "what don't you know", "what do you not know", "confidence in"}},
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{"contradictions", []string{"contradict", "conflict with each other", "inconsistent"}},
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{"learned", []string{"what did you learn", "what have you learned", "learned this week", "learned today", "learnt"}},
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{"changed", []string{"changed your mind", "change your mind about", "used to believe", "no longer believe"}},
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{"curious", []string{"curious about", "what interests you", "want to know more", "what would you like to investigate"}},
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{"predictions", []string{"predict", "what do you expect", "what will happen", "forecast"}},
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{"surprised", []string{"surprise", "unexpected", "surprising"}},
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{"patterns", []string{"pattern", "noticed", "what have you seen", "recurring"}},
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{"beliefs", []string{"what do you believe", "what do you know about", "what do you think about", "tell me about", "what do you remember about", "do you know", "beliefs about", "believe about"}},
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}
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)
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// Analyse performs the deterministic pass.
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func Analyse(text string) Analysis {
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a := Analysis{Source: "deterministic", Entities: []string{}, Claims: []Claim{}}
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lower := strings.ToLower(strings.TrimSpace(text))
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a.Tokens = tokens(lower)
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words := strings.Fields(lower)
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if len(words) == 0 {
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a.Intent = "other"
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return a
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}
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// Urgency and sentiment from lexicons.
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for _, w := range a.Tokens {
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if u, ok := urgentWords[w]; ok && u > a.Urgency {
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a.Urgency = u
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}
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if positive[w] {
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a.Sentiment += 0.3
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}
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if negative[w] {
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a.Sentiment -= 0.3
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}
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}
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if a.Sentiment > 1 {
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a.Sentiment = 1
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}
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if a.Sentiment < -1 {
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a.Sentiment = -1
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}
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// Entities: hostnames, hyphenated ids, Capitalised names.
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seen := map[string]bool{}
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for _, m := range entityRe.FindAllString(text, -1) {
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if len(m) < 3 || whWords[strings.ToLower(m)] || greetings[strings.ToLower(m)] {
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continue
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}
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// Skip a sentence-initial capitalised common word.
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if strings.HasPrefix(text, m) && strings.ToLower(m) == m[:1]+strings.ToLower(m[1:]) && !strings.ContainsAny(m, "-0123456789.") && len(a.Tokens) > 0 && a.Tokens[0] == strings.ToLower(m) {
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continue
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}
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key := strings.ToLower(m)
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if !seen[key] {
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seen[key] = true
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a.Entities = append(a.Entities, m)
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}
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}
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// Intent.
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isQuestion := strings.HasSuffix(lower, "?") || whWords[words[0]] && len(words) > 2
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for _, c := range corrections {
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if strings.Contains(lower, c) {
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a.Intent = "correction"
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break
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}
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}
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if a.Intent == "" {
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for _, in := range introspect {
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for _, p := range in.pats {
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if strings.Contains(lower, p) {
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a.Intent, a.Introspection = "introspection", in.kind
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break
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}
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}
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if a.Intent != "" {
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break
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}
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}
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}
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if a.Intent == "" && len(words) <= 3 && greetings[strings.Trim(words[0], "!.,")] {
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a.Intent = "greeting"
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}
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if a.Intent == "" && isQuestion {
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a.Intent = "question"
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}
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if a.Intent == "" {
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for _, r := range requests {
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if strings.Contains(lower, r) {
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a.Intent = "request"
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break
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}
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}
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}
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if a.Intent == "" {
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a.Intent = "statement"
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}
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if a.Intent == "question" || a.Intent == "introspection" {
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a.Question = strings.TrimSpace(text)
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}
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// Topic: the entity mentioned after "about", else the first entity.
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if i := strings.Index(lower, " about "); i >= 0 {
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rest := strings.Trim(strings.TrimSpace(lower[i+7:]), "?.!")
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if rest != "" {
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a.Topic = strings.Join(strings.Fields(rest), " ")
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}
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}
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if a.Topic == "" && len(a.Entities) > 0 {
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a.Topic = a.Entities[0]
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}
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// Claims: declarative sentences in statements and corrections.
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if a.Intent == "statement" || a.Intent == "correction" {
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for _, sent := range splitSentences(text) {
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sl := strings.ToLower(sent)
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if strings.HasSuffix(strings.TrimSpace(sent), "?") || len(strings.Fields(sent)) < 3 {
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continue
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}
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certainty := "asserted"
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for _, h := range hedges {
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if strings.Contains(sl, h) {
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certainty = "hedged"
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break
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}
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}
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clean := strings.TrimSpace(sent)
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for _, c := range corrections {
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clean = strings.TrimSpace(strings.TrimPrefix(strings.ToLower(clean), c))
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}
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if len(clean) >= 8 {
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a.Claims = append(a.Claims, Claim{Proposition: strings.TrimRight(clean, ".!"), Certainty: certainty})
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}
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}
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}
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return a
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}
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func splitSentences(text string) []string {
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var out []string
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var cur strings.Builder
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runes := []rune(text)
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for i, r := range runes {
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cur.WriteRune(r)
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endOfSentence := r == '\n' || ((r == '.' || r == '!' || r == '?') && (i+1 == len(runes) || runes[i+1] == ' ' || runes[i+1] == '\n'))
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if endOfSentence {
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if s := strings.TrimSpace(cur.String()); s != "" {
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out = append(out, s)
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}
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cur.Reset()
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}
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}
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if s := strings.TrimSpace(cur.String()); s != "" {
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out = append(out, s)
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}
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return out
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}
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var stop = map[string]bool{"the": true, "a": true, "an": true, "is": true, "are": true, "was": true, "were": true, "of": true, "to": true, "in": true, "on": true, "at": true, "for": true, "and": true, "or": true, "that": true, "this": true, "it": true, "you": true, "your": true, "i": true, "me": true, "my": true, "we": true, "do": true, "does": true, "about": true, "what": true, "why": true, "how": true, "with": true, "be": true, "have": true, "has": true, "had": true, "can": true, "please": true}
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func tokens(lower string) []string {
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var out []string
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seen := map[string]bool{}
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var cur strings.Builder
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flush := func() {
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w := strings.Trim(cur.String(), ".-_")
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cur.Reset()
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if len(w) >= 2 && !stop[w] && !seen[w] {
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seen[w] = true
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out = append(out, w)
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}
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}
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for _, r := range lower {
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if r >= 'a' && r <= 'z' || r >= '0' && r <= '9' || r == '-' || r == '.' || r == '_' {
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cur.WriteRune(r)
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} else {
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flush()
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}
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}
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flush()
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sort.Strings(out)
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return out
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}
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