Files
HaBit/lib/ai-task-guardrails.ts

200 lines
6.1 KiB
TypeScript

const ABSTRACT_FOCUS_TOPICS = new Set([
"sleep",
"movement",
"hydration",
"mindfulness",
]);
const NONSENSE_LABEL_PATTERNS = [
/^spend \d+ minutes on (sleep|movement|hydration|mindfulness)$/i,
/^(sleep|movement|hydration|mindfulness)$/i,
/^on (sleep|movement|hydration|mindfulness)$/i,
/^focus on (sleep|movement|hydration|mindfulness)$/i,
/^work on (sleep|movement|hydration|mindfulness)$/i,
/^be (sleep|movement|hydration|mindfulness)$/i,
/^more (sleep|movement|hydration|mindfulness)$/i,
];
const VAGUE_GERUND_LABEL_PATTERNS = [
/^(running|swimming|walking|jogging|reading|stretching|cooking|hiking|biking|cycling|meditating|exercising|studying|cleaning)$/i,
/^go (running|swimming|walking|jogging|reading|stretching|cooking|hiking|biking|cycling|meditating|exercising)$/i,
/^try (running|swimming|walking|jogging|reading|stretching|cooking|hiking|biking|cycling|meditating|exercising)$/i,
/^do (running|swimming|walking|jogging|reading|stretching|cooking|hiking|biking|cycling|meditating|exercising)$/i,
];
const ACTIVITY_KEY_PATTERNS: Array<{ key: string; pattern: RegExp }> = [
{ key: "run", pattern: /\b(run|running|jog|jogging)\b/i },
{ key: "swim", pattern: /\b(swim|swimming|pool)\b/i },
{ key: "walk", pattern: /\b(walk|walking|hike|hiking)\b/i },
{ key: "yoga", pattern: /\byoga\b/i },
{ key: "workout", pattern: /\b(workout|gym|exercise|exercising)\b/i },
{ key: "bike", pattern: /\b(bike|biking|cycle|cycling)\b/i },
{ key: "meditate", pattern: /\b(meditat\w*)\b/i },
{ key: "read", pattern: /\b(read|reading)\b/i },
{ key: "stretch", pattern: /\b(stretch|stretching)\b/i },
{ key: "cook", pattern: /\b(cook|cooking|meal prep)\b/i },
{ key: "water", pattern: /\b(water|hydrate|hydration)\b/i },
{ key: "sleep", pattern: /\b(sleep|wind down|wind-down|bedtime)\b/i },
{ key: "screen", pattern: /\b(screen|social media|scroll|scrolling)\b/i },
{ key: "breathe", pattern: /\b(breathe|breathing|meditat\w*)\b/i },
];
const ACTION_VERB_PATTERN =
/\b(drink|drank|go|went|take|took|limit|limited|skip|skipped|complete|completed|eat|ate|meditate|stretch|stretched|walk|walked|run|ran|swim|swam|read|cook|cooked|wind|avoid|avoided|try|tried|start|started|finish|finished|do|did|get|got|fill|filled|choose|chose|cut|breathe|breathed|hike|hiked|bike|biked|workout|exercise|exercised|journal|write|wrote|call|called|tidy|tidied|clean|cleaned|rest|rested|hydrate|hydrated|move|moved|practice|practiced|put|set|turn|leave|left|join|joined|attend|attended|prepare|prepared|pack|packed|plan|planned|track|tracked|check|checked|brush|brushed|floss|flossed|shower|showered|bathe|bathed|sleep|slept|refill|refilled)\b/i;
const FOCUS_TOPIC_DEFAULT_TASKS: Record<string, string[]> = {
Sleep: ["Wind down before bed", "Avoid screens 30 minutes before sleep"],
Movement: ["Go for a 10-minute walk", "Take a short movement break"],
Hydration: ["Drink a full glass of water", "Refill your water bottle"],
Mindfulness: ["Meditate for 5 minutes", "Take 5 deep breaths"],
};
export function getFocusTopicDefaultTasks(focusTopic: string) {
return FOCUS_TOPIC_DEFAULT_TASKS[focusTopic] ?? [
"Take a mindful break from screens",
"Drink a full glass of water",
];
}
export function isPlausibleTaskLabel(label: string) {
const normalized = normalizeForValidation(label);
if (normalized.length < 6) {
return false;
}
const words = normalized.split(/\s+/).filter(Boolean);
if (words.length < 2) {
return false;
}
if (ABSTRACT_FOCUS_TOPICS.has(normalized)) {
return false;
}
if (NONSENSE_LABEL_PATTERNS.some((pattern) => pattern.test(normalized))) {
return false;
}
if (VAGUE_GERUND_LABEL_PATTERNS.some((pattern) => pattern.test(normalized))) {
return false;
}
if (words.length === 2 && ABSTRACT_FOCUS_TOPICS.has(words[1])) {
return false;
}
if (!ACTION_VERB_PATTERN.test(normalized)) {
return false;
}
return true;
}
function normalizeForValidation(label: string) {
return label.trim().replace(/\s+/g, " ").toLowerCase();
}
export function filterPlausibleTaskLabels(labels: string[]) {
return labels.filter(isPlausibleTaskLabel);
}
function getActivityKey(label: string) {
for (const { key, pattern } of ACTIVITY_KEY_PATTERNS) {
if (pattern.test(label)) {
return key;
}
}
return null;
}
function labelSpecificityScore(label: string) {
let score = label.length;
if (/^go for a\b/i.test(label)) {
score += 25;
}
if (/\b\d+\b/.test(label)) {
score += 8;
}
if (/\b(minute|minutes|hour|hours|glass|bottle)\b/i.test(label)) {
score += 6;
}
if (VAGUE_GERUND_LABEL_PATTERNS.some((pattern) => pattern.test(label))) {
score -= 40;
}
return score;
}
export function dedupeSimilarTaskLabels(labels: string[]) {
const ungrouped: string[] = [];
const grouped = new Map<string, string>();
for (const label of labels) {
const activityKey = getActivityKey(label);
if (!activityKey) {
ungrouped.push(label);
continue;
}
const existing = grouped.get(activityKey);
if (!existing) {
grouped.set(activityKey, label);
continue;
}
if (labelSpecificityScore(label) > labelSpecificityScore(existing)) {
grouped.set(activityKey, label);
}
}
const deduped = [...ungrouped, ...grouped.values()];
const seen = new Set<string>();
return deduped.filter((label) => {
const key = label.toLowerCase();
if (seen.has(key)) {
return false;
}
seen.add(key);
return true;
});
}
export function filterExcludedSimilarTaskLabels(
labels: string[],
excludeLabels: string[],
) {
if (excludeLabels.length === 0) {
return labels;
}
const excludedExact = new Set(excludeLabels.map((label) => label.toLowerCase()));
const excludedActivityKeys = new Set(
excludeLabels
.map((label) => getActivityKey(label))
.filter((key): key is string => key !== null),
);
return labels.filter((label) => {
if (excludedExact.has(label.toLowerCase())) {
return false;
}
const activityKey = getActivityKey(label);
return !activityKey || !excludedActivityKeys.has(activityKey);
});
}