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chore: import upstream snapshot with attribution
2026-07-13 13:08:55 +08:00

198 lines
6.7 KiB
Python

"""
Test suite for REST API endpoints using minimal queries.
Tests programmatic access functionality with fast, simple requests.
"""
import json
import pytest
# Test timeout in seconds
TEST_TIMEOUT = 30
class TestRestAPI:
"""Test REST API endpoints with minimal queries."""
def test_health_check(self, client):
"""Test the health check endpoint."""
response = client.get("/api/v1/health")
assert response.status_code == 200
data = json.loads(response.data)
assert data["status"] == "ok"
assert "timestamp" in data
print("✅ Health check passed")
def test_api_documentation(self, authenticated_client):
"""Test the API documentation endpoint (requires auth)."""
response = authenticated_client.get("/api/v1/")
assert response.status_code == 200
data = json.loads(response.data)
assert data["api_version"] == "v1"
assert "endpoints" in data
assert len(data["endpoints"]) >= 3 # Should have at least 3 endpoints
print("✅ API documentation passed")
@pytest.mark.requires_llm
def test_quick_summary_minimal(self, authenticated_client):
"""Test quick summary with minimal query."""
payload = {
"query": "Python",
"search_tool": "wikipedia",
"iterations": 1,
"temperature": 0.7,
}
response = authenticated_client.post(
"/api/v1/quick_summary",
json=payload,
content_type="application/json",
)
assert response.status_code == 200
data = json.loads(response.data)
# Verify response structure
assert "query" in data
assert "summary" in data
assert "findings" in data
assert data["query"] == "Python"
assert len(data["summary"]) > 10 # Should have actual content
assert isinstance(data["findings"], list)
print(
f"✅ Quick summary passed - got {len(data['summary'])} chars of summary"
)
def test_quick_summary_validation(self, authenticated_client):
"""Test quick summary endpoint validation."""
# Test missing query
response = authenticated_client.post(
"/api/v1/quick_summary",
json={},
content_type="application/json",
)
assert response.status_code == 400
data = json.loads(response.data)
assert "error" in data
print("✅ Quick summary validation passed")
def test_analyze_documents_rejects_inline_documents(
self, authenticated_client
):
"""``/api/v1/analyze_documents`` searches a *named local collection*;
it does not accept inline ``documents``.
The endpoint validates request-body keys against the real
``analyze_documents`` signature (``web/api.py``) and rejects unknown
keys with a clear 400 *before* any LLM call, so this needs no real LLM.
Previously this test posted an unsupported ``documents`` key and
asserted a 200 with an ``analysis``/``processed_documents`` body that
the endpoint never returns (the real shape is
``{summary, documents, collection, document_count}``).
"""
payload = {
"documents": ["Python is a programming language."],
"query": "What is Python?",
"collection_name": "test_collection",
}
response = authenticated_client.post(
"/api/v1/analyze_documents",
json=payload,
content_type="application/json",
)
# Unsupported "documents" key -> clear 400 (not an opaque 500).
assert response.status_code == 400
data = json.loads(response.data)
# The rejected key is named *as the offender* (after the colon) — not
# merely a substring of "analyze_documents" in the message prefix.
offenders = data["error"].split(":", 1)[1]
assert "documents" in offenders
assert "documents" not in data["allowed_parameters"]
assert "max_results" in data["allowed_parameters"]
print("✅ Analyze documents rejects inline documents")
def test_analyze_documents_validation(self, authenticated_client):
"""Test analyze documents endpoint validation."""
# Test missing collection_name
response = authenticated_client.post(
"/api/v1/analyze_documents",
json={"query": "test"},
content_type="application/json",
)
assert response.status_code == 400
data = json.loads(response.data)
assert "error" in data
# Test missing query
response = authenticated_client.post(
"/api/v1/analyze_documents",
json={"collection_name": "test"},
content_type="application/json",
)
assert response.status_code == 400
data = json.loads(response.data)
assert "error" in data
print("✅ Analyze documents validation passed")
@pytest.mark.requires_llm
def test_generate_report_minimal(self, authenticated_client):
"""Test generate report with minimal input."""
payload = {
"query": "AI basics",
"research_type": "quick",
}
response = authenticated_client.post(
"/api/v1/generate_report",
json=payload,
content_type="application/json",
)
# This endpoint might not be fully implemented
assert response.status_code in [200, 404, 500]
if response.status_code == 200:
data = json.loads(response.data)
assert "report" in data or "research_id" in data
print("✅ Generate report passed")
else:
print("⚠️ Generate report endpoint not fully implemented")
def test_generate_report_validation(self, authenticated_client):
"""Test generate report endpoint validation."""
# Test with empty payload
response = authenticated_client.post(
"/api/v1/generate_report",
json={},
content_type="application/json",
)
assert response.status_code == 400
data = json.loads(response.data)
assert "error" in data
print("✅ Generate report validation passed")
def test_error_handling(self, authenticated_client):
"""Test API error handling."""
# Test non-existent endpoint
response = authenticated_client.get("/api/v1/nonexistent")
assert response.status_code == 404
# Test invalid JSON
response = authenticated_client.post(
"/api/v1/quick_summary",
data="invalid json",
content_type="application/json",
)
assert response.status_code in [400, 500]
print("✅ Error handling passed")