Spaces:
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File size: 1,508 Bytes
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"""
Fetch Hugging Face Space build logs and analyze errors with DeepSeek
"""
from huggingface_hub import HfApi
import requests
import os
api = HfApi()
REPO_ID = "Kraft102/widgetdc-cortex"
print("=" * 80)
print(" FETCHING HUGGING FACE SPACE BUILD LOGS")
print("=" * 80)
print()
try:
# Get space info
space_info = api.space_info(repo_id=REPO_ID)
print(f"📊 Space: {REPO_ID}")
print(f" Runtime: {space_info.runtime}")
print()
# Try to get logs via API
token = os.getenv("HF_TOKEN")
if token:
headers = {"Authorization": f"Bearer {token}"}
logs_url = f"https://huggingface.co/api/spaces/{REPO_ID}/logs"
response = requests.get(logs_url, headers=headers)
if response.status_code == 200:
logs = response.text
print("📋 BUILD LOGS:")
print("-" * 80)
print(logs)
print("-" * 80)
else:
print(f"⚠️ Could not fetch logs: HTTP {response.status_code}")
else:
print("⚠️ HF_TOKEN not set - cannot fetch detailed logs")
print()
print("Manual steps:")
print("1. Visit: https://huggingface.co/spaces/Kraft102/widgetdc-cortex")
print("2. Click 'Logs' tab")
print("3. Copy build error messages")
except Exception as e:
print(f"❌ Error: {e}")
print()
print("Visit Space manually:")
print("https://huggingface.co/spaces/Kraft102/widgetdc-cortex")
print()
print("=" * 80)
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