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"""
Test the Hugging Face V4 JSON streaming endpoint with Outlines.
"""
import asyncio
import json
import httpx
async def test_hf_stream_json_endpoint():
"""Test HF V4 JSON streaming endpoint with URL scraping."""
# Hugging Face Space URL
hf_space_url = "https://colin730-summarizerapp.hf.space"
url = "https://www.nzherald.co.nz/nz/auckland/mt-wellington-homicide-jury-find-couple-not-guilty-of-murder-after-soldier-stormed-their-house-with-knife/B56S6KBHRVFCZMLDI56AZES6KY/"
print("=" * 80)
print("Hugging Face V4 JSON Streaming Endpoint Test (Outlines)")
print("=" * 80)
print(f"\nHF Space: {hf_space_url}")
print(f"Endpoint: {hf_space_url}/api/v4/scrape-and-summarize/stream-json")
print(f"Article URL: {url[:80]}...")
print(f"Style: executive\n")
payload = {
"url": url,
"style": "executive",
"include_metadata": True,
"use_cache": True,
}
# Longer timeout for HF (first request can be slow if cold start)
async with httpx.AsyncClient(timeout=600.0) as client:
try:
print("🔄 Sending request to Hugging Face...")
print("⏱️ Note: First request may take 30-60s if instance is cold\n")
# Make streaming request
async with client.stream(
"POST",
f"{hf_space_url}/api/v4/scrape-and-summarize/stream-json",
json=payload,
) as response:
print(f"Status: {response.status_code}")
if response.status_code != 200:
error_text = await response.aread()
error_str = error_text.decode()
print(f"\n❌ Error Response:")
print(error_str)
# Check if it's a 404 (endpoint not found)
if response.status_code == 404:
print("\n💡 The endpoint might not be deployed yet.")
print(" The HF Space may still be building (~5-10 minutes).")
print(f" Check status at: https://huggingface.co/spaces/colin730/SummarizerApp")
return
print("\n" + "=" * 80)
print("STREAMING JSON TOKENS")
print("=" * 80)
metadata = None
json_buffer = ""
token_count = 0
# Parse SSE stream
async for line in response.aiter_lines():
if line.startswith("data: "):
data_content = line[6:] # Remove "data: " prefix
try:
# Try to parse as JSON (might be metadata or error event)
try:
event = json.loads(data_content)
# Handle metadata event
if event.get("type") == "metadata":
metadata = event["data"]
print("\n--- Metadata Event ---")
print(json.dumps(metadata, indent=2))
print("\n" + "-" * 80)
continue
# Handle error event
if event.get("type") == "error" or "error" in event:
error_msg = event.get('error', 'Unknown error')
error_detail = event.get('detail', '')
print(f"\n❌ ERROR: {error_msg}")
if error_detail:
print(f" Detail: {error_detail}")
if "Outlines" in str(event.get("error", "")) or "Outlines" in str(error_detail):
print("\n💡 This means:")
print(" - The endpoint is working ✅")
print(" - But Outlines is not available/installed")
print(f"\nFull error event:")
print(json.dumps(event, indent=2))
return
except json.JSONDecodeError:
# This is a raw JSON token - concatenate it
json_buffer += data_content
token_count += 1
if token_count % 10 == 0:
print(f"📝 Received {token_count} tokens...", end="\r")
except Exception as e:
print(f"\n⚠️ Error processing line: {e}")
print(f"Raw: {data_content[:100]}")
# Print final results
print("\n" + "=" * 80)
print("FINAL RESULTS")
print("=" * 80)
if metadata:
print(f"\n--- Scraping Info ---")
print(f"Input type: {metadata.get('input_type')}")
print(f"Article title: {metadata.get('title')}")
print(f"Site: {metadata.get('site_name')}")
print(f"Scrape method: {metadata.get('scrape_method')}")
print(f"Scrape latency: {metadata.get('scrape_latency_ms', 0):.2f}ms")
print(f"Text extracted: {metadata.get('extracted_text_length', 0)} chars")
print(f"\nTotal tokens received: {token_count}")
print(f"JSON buffer length: {len(json_buffer)} chars")
# Try to parse the complete JSON
if json_buffer.strip():
try:
final_json = json.loads(json_buffer)
# Check if the JSON itself is an error object
if "error" in final_json:
print(f"\n❌ ERROR IN JSON RESPONSE:")
print(f" Error: {final_json.get('error', 'Unknown error')}")
if "detail" in final_json:
print(f" Detail: {final_json.get('detail', '')}")
print(f"\nFull error JSON:")
print(json.dumps(final_json, indent=2))
return
print("\n--- Final JSON Object (StructuredSummary) ---")
print(json.dumps(final_json, indent=2, ensure_ascii=False))
# Validate structure
print("\n--- Validation ---")
required_fields = ["title", "main_summary", "key_points", "category", "sentiment", "read_time_min"]
all_valid = True
for field in required_fields:
value = final_json.get(field)
if field == "key_points":
if isinstance(value, list) and len(value) > 0:
print(f"✅ {field}: {len(value)} items")
else:
print(f"⚠️ {field}: empty or not a list")
all_valid = False
else:
if value is not None:
value_str = str(value)[:50] + "..." if len(str(value)) > 50 else str(value)
print(f"✅ {field}: {value_str}")
else:
print(f"⚠️ {field}: None")
all_valid = False
# Check sentiment is valid
sentiment = final_json.get("sentiment")
valid_sentiments = ["positive", "negative", "neutral"]
if sentiment in valid_sentiments:
print(f"✅ sentiment value is valid: {sentiment}")
else:
print(f"⚠️ sentiment value is invalid: {sentiment}")
all_valid = False
print("\n" + "=" * 80)
if all_valid:
print("✅ ALL VALIDATIONS PASSED - HF JSON STREAMING ENDPOINT WORKING!")
print("✅ Outlines JSON schema enforcement is working!")
else:
print("⚠️ Some validations failed")
print("=" * 80)
except json.JSONDecodeError as e:
print(f"\n❌ Failed to parse final JSON: {e}")
print(f"\nJSON buffer (first 500 chars):")
print(json_buffer[:500])
print("\n💡 The JSON might be incomplete or malformed")
else:
print("\n⚠️ No JSON tokens received")
except httpx.ConnectError:
print(f"\n❌ Could not connect to {hf_space_url}")
print("\n💡 Possible reasons:")
print(" 1. HF Space is still building/deploying")
print(" 2. HF Space is sleeping (free tier)")
print(" 3. Network connectivity issue")
print(f"\n🔗 Check space status: https://huggingface.co/spaces/colin730/SummarizerApp")
except httpx.ReadTimeout:
print("\n⏱️ Request timed out")
print(" This might mean the HF Space is cold-starting")
print(" Try again in a few moments")
except Exception as e:
print(f"\n❌ Error: {e}")
import traceback
traceback.print_exc()
if __name__ == "__main__":
print("\n🚀 Testing Hugging Face V4 JSON Streaming Endpoint (Outlines)\n")
asyncio.run(test_hf_stream_json_endpoint())
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