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Download scripts/verify_live_backend.py from Sivaneshakumar/sanjeevani-backend: direct link, hf CLI and curl.
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- Download file 2.21 kB
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https://huggingface.co/spaces/Sivaneshakumar/sanjeevani-backend/resolve/main/scripts/verify_live_backend.py
- Command line
-
hf download hf://spaces/Sivaneshakumar/sanjeevani-backend/scripts/verify_live_backend.py
-
curl -L -o verify_live_backend.py https://huggingface.co/spaces/Sivaneshakumar/sanjeevani-backend/resolve/main/scripts/verify_live_backend.py
2.21 kB
| import urllib.request | |
| import json | |
| import ssl | |
| BASE_URL = "https://sivaneshakumar-sanjeevani-backend.hf.space" | |
| ctx = ssl.create_default_context() | |
| ctx.check_hostname = False | |
| ctx.verify_mode = ssl.CERT_NONE | |
| def test_endpoint(name: str, path: str, method: str = "GET", body: dict = None): | |
| url = f"{BASE_URL}{path}" | |
| print(f"\n[TEST] {name} -> {path}") | |
| try: | |
| data = json.dumps(body).encode("utf-8") if body else None | |
| headers = { | |
| "User-Agent": "Mozilla/5.0", | |
| "Content-Type": "application/json", | |
| "Accept": "application/json" | |
| } | |
| req = urllib.request.Request(url, data=data, headers=headers, method=method) | |
| with urllib.request.urlopen(req, timeout=30, context=ctx) as response: | |
| res_code = response.status | |
| res_body = response.read().decode("utf-8") | |
| try: | |
| parsed = json.loads(res_body) | |
| print(f" Result: {res_code} OK (JSON Response Received)") | |
| print(f" Preview: {json.dumps(parsed, indent=2)[:300]}...") | |
| return True | |
| except Exception: | |
| print(f" Result: {res_code} OK (HTML/Text received, length: {len(res_body)})") | |
| return True | |
| except Exception as e: | |
| print(f" Result: Error ({e})") | |
| return False | |
| def main(): | |
| print("=" * 65) | |
| print("SanjeevaniAI - Live Hugging Face Backend Health & API Verification") | |
| print(f"Target URL: {BASE_URL}") | |
| print("=" * 65) | |
| test_endpoint("1. Health Check", "/api/v1/health") | |
| test_endpoint("2. Database & ML Model Readiness", "/api/v1/ready") | |
| test_endpoint("3. RoBERTa Model Information", "/api/v1/ner/info") | |
| test_endpoint( | |
| "4. Live Neural NER Inference", | |
| "/api/v1/ner/analyze", | |
| method="POST", | |
| body={"text": "Patient was prescribed Metformin 500mg daily for diabetes mellitus."} | |
| ) | |
| test_endpoint( | |
| "5. Clinical AI Assistant Chat", | |
| "/api/v1/chat", | |
| method="POST", | |
| body={"message": "What is Metformin used for?"} | |
| ) | |
| test_endpoint("6. OpenAPI / Swagger Documentation", "/docs") | |
| print("\n" + "=" * 65) | |
| if __name__ == "__main__": | |
| main() | |