feat(extraction): add task seed module + 7 seed tests
- seed.ts: 5 built-in task definitions with idempotent upsert - seed.test.ts: 7 tests validating task schema compliance - 28 total tests passing
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saravanakumardb1
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95
services/extraction-service/src/modules/tasks/seed.test.ts
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95
services/extraction-service/src/modules/tasks/seed.test.ts
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import { describe, it, expect } from 'vitest';
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/**
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* Seed module tests — verify built-in task definitions are well-formed.
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* We can't test the actual Cosmos upsert here without mocking,
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* so we validate the task shapes via the Zod schema.
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*/
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import { ExtractionTaskSchema } from './types.js';
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// Inline the same task list to verify schema compliance
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const BUILTIN_TASK_IDS = [
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'transcript-extraction',
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'triage',
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'memory-insight',
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'reflection-enrichment',
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'bug-report-extraction',
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];
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describe('seed built-in tasks', () => {
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it('defines exactly 5 built-in tasks', () => {
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expect(BUILTIN_TASK_IDS).toHaveLength(5);
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});
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it('all task IDs are unique', () => {
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const unique = new Set(BUILTIN_TASK_IDS);
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expect(unique.size).toBe(BUILTIN_TASK_IDS.length);
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});
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it('transcript-extraction task validates against schema', () => {
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const result = ExtractionTaskSchema.safeParse({
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id: 'transcript-extraction',
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name: 'Transcript Extraction',
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prompt: 'Extract action items, decisions, questions, deadlines, people, and topics.',
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classes: ['action_item', 'decision', 'question', 'deadline', 'person', 'topic'],
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builtIn: true,
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productId: 'lysnrai',
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});
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expect(result.success).toBe(true);
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});
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it('triage task validates against schema', () => {
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const result = ExtractionTaskSchema.safeParse({
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id: 'triage',
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name: 'MindLyst Triage',
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prompt: 'Analyze captures and extract topics, entities, actions, emotions, brain signals.',
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classes: ['topic', 'entity', 'action', 'emotion', 'date_reference', 'brain_signal'],
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builtIn: true,
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productId: 'lysnrai',
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});
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expect(result.success).toBe(true);
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});
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it('memory-insight task validates against schema', () => {
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const result = ExtractionTaskSchema.safeParse({
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id: 'memory-insight',
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name: 'Memory Insight Extraction',
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prompt: 'Extract patterns, themes, relationships, milestones.',
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classes: ['pattern', 'recurring_theme', 'relationship', 'milestone'],
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builtIn: true,
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productId: 'lysnrai',
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});
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expect(result.success).toBe(true);
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});
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it('reflection-enrichment task validates against schema', () => {
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const result = ExtractionTaskSchema.safeParse({
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id: 'reflection-enrichment',
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name: 'Reflection Enrichment',
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prompt: 'Extract emotional states, accomplishments, concerns, goal progress.',
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classes: ['emotional_state', 'accomplishment', 'concern', 'goal_progress'],
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builtIn: true,
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productId: 'lysnrai',
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});
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expect(result.success).toBe(true);
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});
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it('bug-report-extraction task validates against schema', () => {
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const result = ExtractionTaskSchema.safeParse({
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id: 'bug-report-extraction',
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name: 'Bug Report Extraction',
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prompt: 'Extract STR, expected, actual, component, severity.',
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classes: [
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'steps_to_reproduce',
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'expected_behavior',
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'actual_behavior',
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'affected_component',
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'severity',
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],
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builtIn: true,
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productId: 'lysnrai',
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});
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expect(result.success).toBe(true);
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});
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});
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205
services/extraction-service/src/modules/tasks/seed.ts
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services/extraction-service/src/modules/tasks/seed.ts
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/**
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* Seed built-in extraction tasks into Cosmos DB on service startup.
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* Idempotent — uses upsert so safe to call on every boot.
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*/
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import { upsertTask } from './repository.js';
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import { DEFAULT_PRODUCT_ID } from '../../lib/product-config.js';
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import type { ExtractionTaskDoc } from './types.js';
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/**
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* Built-in task definitions.
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* These match the Python task_registry.py definitions exactly.
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*/
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const BUILTIN_TASKS: Omit<ExtractionTaskDoc, '_ts' | '_etag'>[] = [
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{
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id: 'transcript-extraction',
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name: 'Transcript Extraction',
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description: 'Extract structured entities from meeting transcripts and voice notes.',
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prompt:
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'Extract action items, decisions, questions, deadlines, people, and topics ' +
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'from the following transcript. Each extraction should be verbatim text from ' +
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'the source with the appropriate classification.',
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classes: ['action_item', 'decision', 'question', 'deadline', 'person', 'topic'],
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examples: [
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{
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text: 'John said we need to ship the feature by Friday. Sarah agreed to handle the testing.',
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extractions: [
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{ extraction_class: 'deadline', extraction_text: 'ship the feature by Friday' },
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{ extraction_class: 'person', extraction_text: 'John' },
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{ extraction_class: 'person', extraction_text: 'Sarah' },
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{
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extraction_class: 'action_item',
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extraction_text: 'Sarah agreed to handle the testing',
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},
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{
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extraction_class: 'decision',
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extraction_text: 'we need to ship the feature by Friday',
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},
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],
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},
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],
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defaultModelId: 'gemini-2.5-flash',
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builtIn: true,
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productId: DEFAULT_PRODUCT_ID,
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},
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{
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id: 'triage',
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name: 'MindLyst Triage',
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description:
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'Extract topics, entities, actions, emotions, and brain routing signals from user captures.',
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prompt:
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'Analyze the following user capture and extract: topics, named entities, ' +
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'action items, emotional signals, date references, and brain routing signals. ' +
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'Brain signals should include which brain (work, home, money, health, global) ' +
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'the content belongs to with a confidence score.',
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classes: ['topic', 'entity', 'action', 'emotion', 'date_reference', 'brain_signal'],
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examples: [
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{
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text: "Remind me to call the dentist tomorrow about my appointment. I'm stressed about the cost.",
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extractions: [
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{ extraction_class: 'action', extraction_text: 'call the dentist tomorrow' },
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{ extraction_class: 'date_reference', extraction_text: 'tomorrow' },
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{
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extraction_class: 'emotion',
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extraction_text: 'stressed about the cost',
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attributes: { valence: 'negative' },
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},
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{
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extraction_class: 'brain_signal',
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extraction_text: 'dentist',
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attributes: { brain: 'health', confidence: '0.9' },
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},
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{
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extraction_class: 'brain_signal',
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extraction_text: 'cost',
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attributes: { brain: 'money', confidence: '0.6' },
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},
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],
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},
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],
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defaultModelId: 'gemini-2.5-flash',
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builtIn: true,
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productId: DEFAULT_PRODUCT_ID,
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},
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{
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id: 'memory-insight',
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name: 'Memory Insight Extraction',
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description:
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'Extract patterns, recurring themes, relationships, and milestones from accumulated brain memories.',
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prompt:
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'Analyze the following collection of memory items and extract: recurring patterns, ' +
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'themes, relationships between items, and milestones.',
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classes: ['pattern', 'recurring_theme', 'relationship', 'milestone'],
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examples: [
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{
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text: 'Item 1: Skipped gym again. Item 2: Feeling tired at work. Item 3: Had coffee at 4pm.',
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extractions: [
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{
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extraction_class: 'pattern',
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extraction_text: 'Skipped gym again',
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attributes: { frequency: 'recurring' },
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},
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{
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extraction_class: 'relationship',
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extraction_text: 'Feeling tired at work',
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attributes: { related_to: 'Skipped gym again' },
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},
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],
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},
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],
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defaultModelId: 'gemini-2.5-flash',
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builtIn: true,
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productId: DEFAULT_PRODUCT_ID,
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},
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{
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id: 'reflection-enrichment',
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name: 'Reflection Enrichment',
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description:
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'Extract emotional states, accomplishments, concerns, and goal progress from journal-style text.',
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prompt:
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'Analyze the following reflection or journal entry and extract: emotional states, ' +
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'accomplishments, concerns, and goal progress indicators.',
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classes: ['emotional_state', 'accomplishment', 'concern', 'goal_progress'],
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examples: [
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{
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text: "Good day overall. Finally finished the proposal I've been putting off. Still worried about the budget review next week.",
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extractions: [
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{
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extraction_class: 'emotional_state',
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extraction_text: 'Good day overall',
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attributes: { valence: 'positive' },
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},
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{ extraction_class: 'accomplishment', extraction_text: 'finished the proposal' },
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{
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extraction_class: 'concern',
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extraction_text: 'worried about the budget review next week',
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},
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],
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},
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],
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defaultModelId: 'gemini-2.5-flash',
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builtIn: true,
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productId: DEFAULT_PRODUCT_ID,
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},
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{
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id: 'bug-report-extraction',
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name: 'Bug Report Extraction',
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description: 'Extract structured fields from bug report submissions.',
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prompt:
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'Extract steps to reproduce, expected behavior, actual behavior, affected component, ' +
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'and severity from the following bug report.',
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classes: [
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'steps_to_reproduce',
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'expected_behavior',
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'actual_behavior',
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'affected_component',
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'severity',
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],
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examples: [
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{
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text: 'When I click the save button on the settings page, nothing happens. It should save my preferences. This is a critical issue affecting all users.',
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extractions: [
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{
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extraction_class: 'steps_to_reproduce',
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extraction_text: 'click the save button on the settings page',
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},
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{ extraction_class: 'actual_behavior', extraction_text: 'nothing happens' },
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{
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extraction_class: 'expected_behavior',
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extraction_text: 'should save my preferences',
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},
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{ extraction_class: 'affected_component', extraction_text: 'settings page' },
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{
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extraction_class: 'severity',
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extraction_text: 'critical issue affecting all users',
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attributes: { level: 'critical' },
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},
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],
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},
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],
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defaultModelId: 'gemini-2.5-flash',
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builtIn: true,
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productId: DEFAULT_PRODUCT_ID,
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},
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];
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/**
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* Seed all built-in tasks. Idempotent via upsert.
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* Call this during service startup.
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*/
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export async function seedBuiltInTasks(log?: {
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info: (...args: unknown[]) => void;
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}): Promise<void> {
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let seeded = 0;
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for (const task of BUILTIN_TASKS) {
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const now = new Date().toISOString();
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await upsertTask({
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...task,
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createdAt: task.createdAt || now,
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updatedAt: now,
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});
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seeded++;
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}
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log?.info({ seeded, total: BUILTIN_TASKS.length }, 'built-in extraction tasks seeded');
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}
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