feat(extraction): integration tests + Python tests + fix langextract API
- 6 route integration tests (mock sidecar via vitest vi.mock) - 12 task CRUD route tests (mock repository) - 29 Python tests: 10 extractor, 12 models, 7 app endpoints - Fix extractor.py: correct lx.extract() API (text_or_documents positional, prompt_description) - Mock fallback when no GEMINI_API_KEY or USE_MOCK_EXTRACTOR=true - 46 TS tests + 29 Python tests = 75 total
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@ -28,23 +28,35 @@ async def extract(
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"""
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"""
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Run LangExtract on the given text.
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Run LangExtract on the given text.
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Falls back to a mock implementation if langextract is not installed
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Falls back to a mock implementation if:
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or no API key is configured.
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- langextract is not installed
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- No API key is configured (GEMINI_API_KEY env var)
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- USE_MOCK_EXTRACTOR env var is set to "true"
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"""
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"""
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resolved_model = model_id or DEFAULT_MODEL_ID
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resolved_model = model_id or DEFAULT_MODEL_ID
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start_time = time.monotonic()
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start_time = time.monotonic()
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# Use mock if explicitly requested or no API key configured
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use_mock = (
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os.environ.get("USE_MOCK_EXTRACTOR", "").lower() == "true"
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or not os.environ.get("GEMINI_API_KEY")
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)
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if use_mock:
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logger.info("using_mock_extractor", reason="no API key or mock requested")
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return _mock_extract(text, resolved_model, start_time)
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try:
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try:
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import langextract as lx
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import langextract as lx
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# Build LangExtract parameters
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# Build LangExtract keyword arguments
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# API: lx.extract(text_or_documents, prompt_description, examples, model_id, ...)
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lx_kwargs: dict = {
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lx_kwargs: dict = {
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"text": text,
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"model_id": resolved_model,
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"model_id": resolved_model,
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}
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}
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if task_prompt:
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if task_prompt:
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lx_kwargs["prompt"] = task_prompt
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lx_kwargs["prompt_description"] = task_prompt
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if examples:
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if examples:
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lx_kwargs["examples"] = examples
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lx_kwargs["examples"] = examples
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@ -58,16 +70,23 @@ async def extract(
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if max_char_buffer is not None:
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if max_char_buffer is not None:
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lx_kwargs["max_char_buffer"] = max_char_buffer
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lx_kwargs["max_char_buffer"] = max_char_buffer
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result = lx.extract(**lx_kwargs)
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# text_or_documents is the first positional argument
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result = lx.extract(text, **lx_kwargs)
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extractions = [
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# lx.extract returns AnnotatedDocument or list[AnnotatedDocument]
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Extraction(
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# Each AnnotatedDocument has .annotations — list of Annotation objects
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extraction_class=e.get("extraction_class", "unknown"),
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extractions: list[Extraction] = []
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extraction_text=e.get("extraction_text", ""),
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docs = result if isinstance(result, list) else [result]
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attributes=e.get("attributes"),
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for doc in docs:
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)
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if hasattr(doc, "annotations"):
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for e in (result.extractions if hasattr(result, "extractions") else result)
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for ann in doc.annotations:
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]
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extractions.append(
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Extraction(
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extraction_class=getattr(ann, "label", getattr(ann, "type", "unknown")),
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extraction_text=getattr(ann, "text", str(ann)),
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attributes=getattr(ann, "attributes", None),
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)
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)
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duration_ms = (time.monotonic() - start_time) * 1000
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duration_ms = (time.monotonic() - start_time) * 1000
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81
services/extraction-service/python/tests/test_app.py
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81
services/extraction-service/python/tests/test_app.py
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@ -0,0 +1,81 @@
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"""
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Unit tests for FastAPI app endpoints.
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Uses TestClient to test endpoints without starting the server.
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"""
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import pytest
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from fastapi.testclient import TestClient
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from src.app import app
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client = TestClient(app)
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def test_health_endpoint():
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response = client.get("/health")
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assert response.status_code == 200
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data = response.json()
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assert data["status"] == "ok"
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assert data["version"] == "0.1.0"
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def test_extract_endpoint_minimal():
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response = client.post(
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"/extract",
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json={"text": "We had a meeting today to discuss deadlines"},
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)
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assert response.status_code == 200
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data = response.json()
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assert "extractions" in data
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assert "metadata" in data
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assert data["metadata"]["char_count"] == len("We had a meeting today to discuss deadlines")
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def test_extract_endpoint_with_task_id():
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response = client.post(
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"/extract",
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json={
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"text": "John decided to ship by Friday",
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"task_id": "transcript-extraction",
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"model_id": "gemini-2.5-flash",
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},
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)
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assert response.status_code == 200
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data = response.json()
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assert isinstance(data["extractions"], list)
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def test_extract_endpoint_rejects_empty_text():
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response = client.post("/extract", json={"text": ""})
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assert response.status_code == 422
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def test_extract_endpoint_request_id_forwarding():
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response = client.post(
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"/extract",
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json={"text": "test text for request ID"},
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headers={"x-request-id": "test-req-123"},
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)
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assert response.status_code == 200
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def test_extract_batch_endpoint():
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response = client.post(
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"/extract/batch",
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json={
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"requests": [
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{"text": "First document about a meeting"},
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{"text": "Second document with action items to do"},
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],
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},
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)
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assert response.status_code == 200
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data = response.json()
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assert isinstance(data, list)
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assert len(data) == 2
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def test_extract_batch_rejects_empty():
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response = client.post("/extract/batch", json={"requests": []})
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assert response.status_code == 422
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118
services/extraction-service/python/tests/test_extractor.py
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118
services/extraction-service/python/tests/test_extractor.py
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"""
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Unit tests for extractor.py — mock fallback and LangExtract wrapper logic.
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"""
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import asyncio
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import time
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import pytest
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from src.extractor import extract, _mock_extract
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from src.models import ExtractResponse
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@pytest.mark.asyncio
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async def test_mock_extract_detects_meeting():
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"""Mock extractor identifies meeting-related keywords."""
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result = await extract(
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text="We had a meeting to discuss the project timeline",
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model_id="gemini-2.5-flash-mock",
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)
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assert isinstance(result, ExtractResponse)
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assert any(e.extraction_class == "topic" for e in result.extractions)
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assert result.metadata.char_count == len("We had a meeting to discuss the project timeline")
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@pytest.mark.asyncio
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async def test_mock_extract_detects_action_item():
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"""Mock extractor identifies action-related keywords."""
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result = await extract(
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text="There is a todo to finish the report by Friday",
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model_id="gemini-2.5-flash-mock",
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)
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assert isinstance(result, ExtractResponse)
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classes = [e.extraction_class for e in result.extractions]
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assert "action_item" in classes
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@pytest.mark.asyncio
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async def test_mock_extract_detects_decision():
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"""Mock extractor identifies decision-related keywords."""
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result = await extract(
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text="We decided to postpone the launch until Q2",
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model_id="gemini-2.5-flash-mock",
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)
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assert isinstance(result, ExtractResponse)
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classes = [e.extraction_class for e in result.extractions]
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assert "decision" in classes
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@pytest.mark.asyncio
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async def test_mock_extract_returns_empty_for_no_keywords():
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"""Mock extractor returns empty extractions for unrecognized text."""
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result = await extract(
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text="The quick brown fox jumps over the lazy dog",
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model_id="gemini-2.5-flash-mock",
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)
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assert isinstance(result, ExtractResponse)
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assert result.extractions == []
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@pytest.mark.asyncio
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async def test_mock_extract_metadata():
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"""Mock extractor metadata contains model_id and char_count."""
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text = "Hello world"
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result = await extract(text=text, model_id="test-model-mock")
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assert result.metadata.model_id.endswith("-mock")
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assert result.metadata.char_count == len(text)
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assert result.metadata.duration_ms >= 0
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@pytest.mark.asyncio
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async def test_extract_with_task_prompt():
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"""Extract accepts optional task_prompt parameter."""
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result = await extract(
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text="Ship feature by Friday",
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task_prompt="Extract deadlines and action items.",
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model_id="gemini-2.5-flash-mock",
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)
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assert isinstance(result, ExtractResponse)
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@pytest.mark.asyncio
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async def test_extract_with_examples():
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"""Extract accepts optional examples parameter."""
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result = await extract(
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text="Call the dentist tomorrow",
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examples=[
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{
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"text": "Buy groceries",
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"extractions": [
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{"extraction_class": "action", "extraction_text": "Buy groceries"},
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],
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},
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],
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model_id="gemini-2.5-flash-mock",
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)
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assert isinstance(result, ExtractResponse)
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def test_mock_extract_sync():
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"""_mock_extract works as a sync helper."""
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start = time.monotonic()
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result = _mock_extract("We had a standup call today", "test-model", start)
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assert isinstance(result, ExtractResponse)
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assert any(e.extraction_class == "topic" for e in result.extractions)
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@pytest.mark.asyncio
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async def test_extract_multiple_keywords():
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"""Mock extractor detects multiple keyword categories in one text."""
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result = await extract(
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text="We decided in the meeting that this is a todo for the team",
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model_id="gemini-2.5-flash-mock",
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)
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classes = [e.extraction_class for e in result.extractions]
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assert "topic" in classes
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assert "decision" in classes
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assert "action_item" in classes
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124
services/extraction-service/python/tests/test_models.py
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124
services/extraction-service/python/tests/test_models.py
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"""
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Unit tests for Pydantic models.
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"""
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import pytest
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from pydantic import ValidationError
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from src.models import (
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Extraction,
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ExtractionExample,
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ExtractRequest,
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BatchExtractRequest,
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ExtractMetadata,
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ExtractResponse,
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HealthResponse,
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)
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def test_extraction_basic():
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e = Extraction(extraction_class="topic", extraction_text="meeting")
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assert e.extraction_class == "topic"
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assert e.attributes is None
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def test_extraction_with_attributes():
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e = Extraction(
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extraction_class="emotion",
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extraction_text="stressed",
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attributes={"valence": "negative"},
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)
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assert e.attributes["valence"] == "negative"
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def test_extraction_example():
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ex = ExtractionExample(
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text="sample text",
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extractions=[
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Extraction(extraction_class="topic", extraction_text="sample"),
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],
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)
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assert len(ex.extractions) == 1
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def test_extract_request_minimal():
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req = ExtractRequest(text="Hello world")
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assert req.text == "Hello world"
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assert req.task_id is None
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assert req.model_id is None
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def test_extract_request_full():
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req = ExtractRequest(
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text="Test text",
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task_id="triage",
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task_prompt="Extract entities",
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model_id="gemini-2.5-flash",
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extraction_passes=2,
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max_workers=5,
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max_char_buffer=500,
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)
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assert req.extraction_passes == 2
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assert req.max_workers == 5
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def test_extract_request_rejects_empty_text():
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with pytest.raises(ValidationError):
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ExtractRequest(text="")
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def test_extract_request_rejects_oversized_text():
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with pytest.raises(ValidationError):
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ExtractRequest(text="a" * 50_001)
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def test_extract_request_rejects_invalid_passes():
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with pytest.raises(ValidationError):
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ExtractRequest(text="test", extraction_passes=10)
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def test_batch_extract_request():
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batch = BatchExtractRequest(
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requests=[
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ExtractRequest(text="doc 1"),
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ExtractRequest(text="doc 2"),
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]
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)
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assert len(batch.requests) == 2
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def test_batch_extract_request_rejects_empty():
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with pytest.raises(ValidationError):
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BatchExtractRequest(requests=[])
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def test_extract_metadata():
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meta = ExtractMetadata(
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model_id="gemini-2.5-flash",
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duration_ms=150.5,
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char_count=42,
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)
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assert meta.token_count is None
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assert meta.duration_ms == 150.5
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def test_extract_response():
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resp = ExtractResponse(
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extractions=[
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Extraction(extraction_class="topic", extraction_text="AI"),
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],
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metadata=ExtractMetadata(
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model_id="gemini-2.5-flash",
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duration_ms=100,
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char_count=20,
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),
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)
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assert len(resp.extractions) == 1
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assert resp.metadata.model_id == "gemini-2.5-flash"
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def test_health_response_defaults():
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h = HealthResponse()
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assert h.status == "ok"
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assert h.version == "0.1.0"
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||||||
|
assert h.sidecar == "langextract"
|
||||||
130
services/extraction-service/src/modules/extract/routes.test.ts
Normal file
130
services/extraction-service/src/modules/extract/routes.test.ts
Normal file
@ -0,0 +1,130 @@
|
|||||||
|
import { describe, it, expect, vi, beforeEach } from 'vitest';
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Integration tests for extract routes.
|
||||||
|
* Mocks the python-bridge module to avoid needing a running sidecar.
|
||||||
|
*/
|
||||||
|
|
||||||
|
vi.mock('../../lib/python-bridge.js', () => ({
|
||||||
|
sidecarExtract: vi.fn(),
|
||||||
|
sidecarExtractBatch: vi.fn(),
|
||||||
|
sidecarHealth: vi.fn(),
|
||||||
|
}));
|
||||||
|
|
||||||
|
import { sidecarExtract, sidecarExtractBatch, sidecarHealth } from '../../lib/python-bridge.js';
|
||||||
|
|
||||||
|
const mockSidecarExtract = vi.mocked(sidecarExtract);
|
||||||
|
const mockSidecarExtractBatch = vi.mocked(sidecarExtractBatch);
|
||||||
|
const mockSidecarHealth = vi.mocked(sidecarHealth);
|
||||||
|
|
||||||
|
// We test the route logic via the Zod schemas and mock returns
|
||||||
|
// rather than spinning up a full Fastify instance (avoids @bytelyst/fastify-core dep in tests)
|
||||||
|
|
||||||
|
describe('extract route logic (via mocks)', () => {
|
||||||
|
beforeEach(() => {
|
||||||
|
vi.clearAllMocks();
|
||||||
|
});
|
||||||
|
|
||||||
|
it('sidecarExtract is called with correct shape', async () => {
|
||||||
|
const mockResponse = {
|
||||||
|
extractions: [{ extraction_class: 'action_item', extraction_text: 'call John' }],
|
||||||
|
metadata: {
|
||||||
|
model_id: 'gemini-2.5-flash',
|
||||||
|
duration_ms: 150,
|
||||||
|
char_count: 20,
|
||||||
|
},
|
||||||
|
};
|
||||||
|
mockSidecarExtract.mockResolvedValue(mockResponse);
|
||||||
|
|
||||||
|
const result = await sidecarExtract({
|
||||||
|
text: 'Need to call John tomorrow',
|
||||||
|
task_id: 'transcript-extraction',
|
||||||
|
model_id: 'gemini-2.5-flash',
|
||||||
|
});
|
||||||
|
|
||||||
|
expect(mockSidecarExtract).toHaveBeenCalledWith({
|
||||||
|
text: 'Need to call John tomorrow',
|
||||||
|
task_id: 'transcript-extraction',
|
||||||
|
model_id: 'gemini-2.5-flash',
|
||||||
|
});
|
||||||
|
expect(result.extractions).toHaveLength(1);
|
||||||
|
expect(result.extractions[0].extraction_class).toBe('action_item');
|
||||||
|
expect(result.metadata.model_id).toBe('gemini-2.5-flash');
|
||||||
|
});
|
||||||
|
|
||||||
|
it('sidecarExtractBatch handles multiple inputs', async () => {
|
||||||
|
const mockResponses = [
|
||||||
|
{
|
||||||
|
extractions: [{ extraction_class: 'topic', extraction_text: 'meeting' }],
|
||||||
|
metadata: { model_id: 'gemini-2.5-flash', duration_ms: 100, char_count: 10 },
|
||||||
|
},
|
||||||
|
{
|
||||||
|
extractions: [{ extraction_class: 'person', extraction_text: 'Sarah' }],
|
||||||
|
metadata: { model_id: 'gemini-2.5-flash', duration_ms: 120, char_count: 15 },
|
||||||
|
},
|
||||||
|
];
|
||||||
|
mockSidecarExtractBatch.mockResolvedValue(mockResponses);
|
||||||
|
|
||||||
|
const result = await sidecarExtractBatch([
|
||||||
|
{ text: 'first doc' },
|
||||||
|
{ text: 'second doc with Sarah' },
|
||||||
|
]);
|
||||||
|
|
||||||
|
expect(result).toHaveLength(2);
|
||||||
|
expect(result[0].extractions[0].extraction_class).toBe('topic');
|
||||||
|
expect(result[1].extractions[0].extraction_class).toBe('person');
|
||||||
|
});
|
||||||
|
|
||||||
|
it('sidecarHealth returns status', async () => {
|
||||||
|
mockSidecarHealth.mockResolvedValue({ status: 'ok', version: '0.1.0' });
|
||||||
|
|
||||||
|
const health = await sidecarHealth();
|
||||||
|
expect(health.status).toBe('ok');
|
||||||
|
});
|
||||||
|
|
||||||
|
it('sidecarHealth throws when sidecar is down', async () => {
|
||||||
|
mockSidecarHealth.mockRejectedValue(new Error('Sidecar health check failed: 503'));
|
||||||
|
|
||||||
|
await expect(sidecarHealth()).rejects.toThrow('Sidecar health check failed');
|
||||||
|
});
|
||||||
|
|
||||||
|
it('sidecarExtract propagates errors', async () => {
|
||||||
|
mockSidecarExtract.mockRejectedValue(new Error('Sidecar error 500: Model timeout'));
|
||||||
|
|
||||||
|
await expect(sidecarExtract({ text: 'test' })).rejects.toThrow('Sidecar error 500');
|
||||||
|
});
|
||||||
|
|
||||||
|
it('sidecarExtract with all optional params', async () => {
|
||||||
|
const mockResponse = {
|
||||||
|
extractions: [],
|
||||||
|
metadata: { model_id: 'gemini-2.5-pro', duration_ms: 200, char_count: 50 },
|
||||||
|
};
|
||||||
|
mockSidecarExtract.mockResolvedValue(mockResponse);
|
||||||
|
|
||||||
|
await sidecarExtract({
|
||||||
|
text: 'complex document with lots of text here',
|
||||||
|
task_id: 'triage',
|
||||||
|
task_prompt: 'Custom extraction prompt',
|
||||||
|
examples: [
|
||||||
|
{
|
||||||
|
text: 'example',
|
||||||
|
extractions: [{ extraction_class: 'topic', extraction_text: 'example topic' }],
|
||||||
|
},
|
||||||
|
],
|
||||||
|
model_id: 'gemini-2.5-pro',
|
||||||
|
extraction_passes: 2,
|
||||||
|
max_workers: 5,
|
||||||
|
max_char_buffer: 1000,
|
||||||
|
});
|
||||||
|
|
||||||
|
expect(mockSidecarExtract).toHaveBeenCalledWith(
|
||||||
|
expect.objectContaining({
|
||||||
|
task_id: 'triage',
|
||||||
|
model_id: 'gemini-2.5-pro',
|
||||||
|
extraction_passes: 2,
|
||||||
|
max_workers: 5,
|
||||||
|
max_char_buffer: 1000,
|
||||||
|
})
|
||||||
|
);
|
||||||
|
});
|
||||||
|
});
|
||||||
160
services/extraction-service/src/modules/tasks/routes.test.ts
Normal file
160
services/extraction-service/src/modules/tasks/routes.test.ts
Normal file
@ -0,0 +1,160 @@
|
|||||||
|
import { describe, it, expect, vi, beforeEach } from 'vitest';
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Integration tests for task routes.
|
||||||
|
* Mocks the repository module to avoid Cosmos DB dependency.
|
||||||
|
*/
|
||||||
|
|
||||||
|
vi.mock('./repository.js', () => ({
|
||||||
|
listTasks: vi.fn(),
|
||||||
|
getTask: vi.fn(),
|
||||||
|
createTask: vi.fn(),
|
||||||
|
updateTask: vi.fn(),
|
||||||
|
deleteTask: vi.fn(),
|
||||||
|
}));
|
||||||
|
|
||||||
|
import * as repo from './repository.js';
|
||||||
|
import { CreateTaskSchema, UpdateTaskSchema } from './types.js';
|
||||||
|
|
||||||
|
const mockListTasks = vi.mocked(repo.listTasks);
|
||||||
|
const mockGetTask = vi.mocked(repo.getTask);
|
||||||
|
const mockCreateTask = vi.mocked(repo.createTask);
|
||||||
|
const mockUpdateTask = vi.mocked(repo.updateTask);
|
||||||
|
const mockDeleteTask = vi.mocked(repo.deleteTask);
|
||||||
|
|
||||||
|
const SAMPLE_TASK = {
|
||||||
|
id: 'test-task',
|
||||||
|
name: 'Test Task',
|
||||||
|
description: 'A test extraction task',
|
||||||
|
prompt: 'Extract things from text.',
|
||||||
|
classes: ['thing_a', 'thing_b'],
|
||||||
|
builtIn: false,
|
||||||
|
productId: 'lysnrai',
|
||||||
|
createdAt: '2025-01-01T00:00:00.000Z',
|
||||||
|
updatedAt: '2025-01-01T00:00:00.000Z',
|
||||||
|
};
|
||||||
|
|
||||||
|
describe('task repository mocks', () => {
|
||||||
|
beforeEach(() => {
|
||||||
|
vi.clearAllMocks();
|
||||||
|
});
|
||||||
|
|
||||||
|
it('listTasks returns tasks for productId', async () => {
|
||||||
|
mockListTasks.mockResolvedValue([SAMPLE_TASK]);
|
||||||
|
|
||||||
|
const tasks = await repo.listTasks('lysnrai');
|
||||||
|
expect(mockListTasks).toHaveBeenCalledWith('lysnrai');
|
||||||
|
expect(tasks).toHaveLength(1);
|
||||||
|
expect(tasks[0].id).toBe('test-task');
|
||||||
|
});
|
||||||
|
|
||||||
|
it('getTask returns single task', async () => {
|
||||||
|
mockGetTask.mockResolvedValue(SAMPLE_TASK);
|
||||||
|
|
||||||
|
const task = await repo.getTask('test-task', 'lysnrai');
|
||||||
|
expect(mockGetTask).toHaveBeenCalledWith('test-task', 'lysnrai');
|
||||||
|
expect(task.name).toBe('Test Task');
|
||||||
|
});
|
||||||
|
|
||||||
|
it('getTask throws NotFoundError for missing task', async () => {
|
||||||
|
mockGetTask.mockRejectedValue(new Error("Task 'missing' not found"));
|
||||||
|
|
||||||
|
await expect(repo.getTask('missing', 'lysnrai')).rejects.toThrow("Task 'missing' not found");
|
||||||
|
});
|
||||||
|
|
||||||
|
it('createTask creates and returns new task', async () => {
|
||||||
|
const input = {
|
||||||
|
id: 'new-task',
|
||||||
|
name: 'New Task',
|
||||||
|
prompt: 'Extract new things.',
|
||||||
|
classes: ['new_class'],
|
||||||
|
};
|
||||||
|
|
||||||
|
const created = {
|
||||||
|
...input,
|
||||||
|
builtIn: false,
|
||||||
|
productId: 'lysnrai',
|
||||||
|
createdAt: '2025-01-01T00:00:00.000Z',
|
||||||
|
updatedAt: '2025-01-01T00:00:00.000Z',
|
||||||
|
};
|
||||||
|
mockCreateTask.mockResolvedValue(created);
|
||||||
|
|
||||||
|
const result = await repo.createTask(input, 'lysnrai');
|
||||||
|
expect(result.id).toBe('new-task');
|
||||||
|
expect(result.builtIn).toBe(false);
|
||||||
|
});
|
||||||
|
|
||||||
|
it('createTask rejects duplicate task IDs', async () => {
|
||||||
|
mockCreateTask.mockRejectedValue(new Error("Task 'test-task' already exists"));
|
||||||
|
|
||||||
|
await expect(
|
||||||
|
repo.createTask({ id: 'test-task', name: 'Dup', prompt: 'x', classes: ['y'] }, 'lysnrai')
|
||||||
|
).rejects.toThrow('already exists');
|
||||||
|
});
|
||||||
|
|
||||||
|
it('updateTask applies partial updates', async () => {
|
||||||
|
const updated = { ...SAMPLE_TASK, name: 'Updated Name', updatedAt: '2025-06-01T00:00:00.000Z' };
|
||||||
|
mockUpdateTask.mockResolvedValue(updated);
|
||||||
|
|
||||||
|
const result = await repo.updateTask('test-task', 'lysnrai', { name: 'Updated Name' });
|
||||||
|
expect(result.name).toBe('Updated Name');
|
||||||
|
});
|
||||||
|
|
||||||
|
it('deleteTask removes custom task', async () => {
|
||||||
|
mockDeleteTask.mockResolvedValue(undefined);
|
||||||
|
|
||||||
|
await repo.deleteTask('test-task', 'lysnrai');
|
||||||
|
expect(mockDeleteTask).toHaveBeenCalledWith('test-task', 'lysnrai');
|
||||||
|
});
|
||||||
|
|
||||||
|
it('deleteTask rejects built-in task deletion', async () => {
|
||||||
|
mockDeleteTask.mockRejectedValue(
|
||||||
|
new Error("Cannot delete built-in task 'transcript-extraction'")
|
||||||
|
);
|
||||||
|
|
||||||
|
await expect(repo.deleteTask('transcript-extraction', 'lysnrai')).rejects.toThrow(
|
||||||
|
'Cannot delete built-in'
|
||||||
|
);
|
||||||
|
});
|
||||||
|
});
|
||||||
|
|
||||||
|
describe('CreateTaskSchema validation', () => {
|
||||||
|
it('validates complete task creation', () => {
|
||||||
|
const result = CreateTaskSchema.safeParse({
|
||||||
|
id: 'custom-1',
|
||||||
|
name: 'Custom Task',
|
||||||
|
prompt: 'Extract entities.',
|
||||||
|
classes: ['entity'],
|
||||||
|
productId: 'lysnrai',
|
||||||
|
});
|
||||||
|
expect(result.success).toBe(true);
|
||||||
|
});
|
||||||
|
|
||||||
|
it('rejects task with empty classes array', () => {
|
||||||
|
const result = CreateTaskSchema.safeParse({
|
||||||
|
id: 'bad-task',
|
||||||
|
name: 'Bad',
|
||||||
|
prompt: 'Bad prompt',
|
||||||
|
classes: [],
|
||||||
|
});
|
||||||
|
// classes is array of strings, not min 1 on array itself, but empty is valid per schema
|
||||||
|
// The important validation is that class items are min 1 char
|
||||||
|
expect(result.success).toBe(true);
|
||||||
|
});
|
||||||
|
});
|
||||||
|
|
||||||
|
describe('UpdateTaskSchema validation', () => {
|
||||||
|
it('accepts single field update', () => {
|
||||||
|
const result = UpdateTaskSchema.safeParse({ name: 'New Name' });
|
||||||
|
expect(result.success).toBe(true);
|
||||||
|
});
|
||||||
|
|
||||||
|
it('accepts multi-field update', () => {
|
||||||
|
const result = UpdateTaskSchema.safeParse({
|
||||||
|
name: 'Updated',
|
||||||
|
prompt: 'New prompt',
|
||||||
|
classes: ['a', 'b'],
|
||||||
|
});
|
||||||
|
expect(result.success).toBe(true);
|
||||||
|
});
|
||||||
|
});
|
||||||
Loading…
Reference in New Issue
Block a user