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"""
Test the Hugging Face V4 NDJSON endpoint with a real URL.
"""
import asyncio
import json
import httpx
async def test_hf_ndjson_endpoint():
"""Test HF V4 NDJSON 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 NDJSON Endpoint Test")
print("=" * 80)
print(f"\nHF Space: {hf_space_url}")
print(f"Endpoint: {hf_space_url}/api/v4/scrape-and-summarize/stream-ndjson")
print(f"Article URL: {url[:80]}...")
print(f"Style: executive\n")
payload = {
"url": url,
"style": "executive",
"max_tokens": 512,
"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("π Sending request to Hugging Face...")
print("β±οΈ 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-ndjson",
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"\nβ Error Response:")
print(error_str)
# Check if it's a 404 (endpoint not found)
if response.status_code == 404:
print("\nπ‘ 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 EVENTS")
print("=" * 80)
event_count = 0
final_state = None
total_tokens = 0
metadata = None
# Parse SSE stream
async for line in response.aiter_lines():
if line.startswith("data: "):
try:
event = json.loads(line[6:])
# 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
event_count += 1
# Check for error
if "error" in event:
print(f"\nβ ERROR: {event['error']}")
if "model not available" in event['error'].lower():
print("\nπ‘ This means:")
print(" - The endpoint is working β
")
print(" - Scraping is working β
")
print(" - But the model isn't loaded on HF")
print(" - This is expected if PyTorch/transformers aren't installed")
return
# Extract event data
delta = event.get("delta")
state = event.get("state")
done = event.get("done", False)
tokens_used = event.get("tokens_used", 0)
latency_ms = event.get("latency_ms")
total_tokens = tokens_used
# Print event details (compact format)
if delta and "op" in delta:
op = delta.get("op")
if op == "set":
field = delta.get("field")
value = delta.get("value")
value_str = str(value)[:60] + "..." if len(str(value)) > 60 else str(value)
print(f"Event #{event_count}: Set {field} = {value_str}")
elif op == "append":
field = delta.get("field")
value = delta.get("value")
value_str = str(value)[:60] + "..." if len(str(value)) > 60 else str(value)
print(f"Event #{event_count}: Append to {field}: {value_str}")
elif op == "done":
print(f"Event #{event_count}: β
Done signal received")
elif delta is None and done:
print(f"Event #{event_count}: π Final event (latency: {latency_ms}ms)")
# Store final state
if state:
final_state = state
except json.JSONDecodeError as e:
print(f"Failed to parse JSON: {e}")
print(f"Raw line: {line}")
# 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 events: {event_count}")
print(f"Total tokens: {total_tokens}")
if final_state:
print("\n--- Final Structured State ---")
print(json.dumps(final_state, 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_state.get(field)
if field == "key_points":
if isinstance(value, list) and len(value) > 0:
print(f"β
{field}: {len(value)} items")
else:
print(f"β οΈ {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"β
{field}: {value_str}")
else:
print(f"β οΈ {field}: None")
all_valid = False
# Check sentiment is valid
sentiment = final_state.get("sentiment")
valid_sentiments = ["positive", "negative", "neutral"]
if sentiment in valid_sentiments:
print(f"β
sentiment value is valid: {sentiment}")
else:
print(f"β οΈ sentiment value is invalid: {sentiment}")
all_valid = False
print("\n" + "=" * 80)
if all_valid:
print("β
ALL VALIDATIONS PASSED - HF ENDPOINT WORKING!")
else:
print("β οΈ Some validations failed")
print("=" * 80)
else:
print("\nβ οΈ No final state received")
except httpx.ConnectError:
print(f"\nβ Could not connect to {hf_space_url}")
print("\nπ‘ 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"\nπ Check space status: https://huggingface.co/spaces/colin730/SummarizerApp")
except httpx.ReadTimeout:
print("\nβ±οΈ 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"\nβ Error: {e}")
import traceback
traceback.print_exc()
if __name__ == "__main__":
print("\nπ Testing Hugging Face V4 NDJSON Endpoint\n")
asyncio.run(test_hf_ndjson_endpoint())
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