glucoguard 0.1.0

Python client for the GlucoGuard diabetes and cardiovascular risk prediction API

glucoguard — Python SDK

Tiny Python client for the GlucoGuard REST API.

Install

pip install glucoguard

Or vendor it directly — the whole client is one file (glucoguard/client.py) with only requests as a dependency.

Quick start

from glucoguard import GlucoGuard

gg = GlucoGuard(api_key="sk_live_...")

result = gg.predict_diabetes(
    age=55, gender=0, bmi=30,
    systolic_bp=140, diastolic_bp=88,
    hba1c=6.5,
)

print(f"Risk: {result.risk_score}% ({result.risk_category})")
for factor in result.top_factors[:3]:
    print(f"  {factor.feature}: {factor.direction} ({factor.shap_value:+.3f})")

Batch predictions

patients = [
    {"age": 55, "gender": 0, "bmi": 30, "systolic_bp": 140, "diastolic_bp": 88},
    {"age": 35, "gender": 1, "bmi": 22, "systolic_bp": 118, "diastolic_bp": 72},
]
batch = gg.predict_batch(patients)
print(f"Processed {batch.total} patients in {batch.processing_time_ms:.0f}ms")

Webhook batch jobs

For long-running jobs, provide a webhook URL and GlucoGuard will POST the results to your endpoint when the batch completes:

job = gg.predict_batch(patients, webhook_url="https://your-server.com/glucoguard-hook")
print(job["job_id"], job["status"])  # "queued"

The webhook receives JSON with {job_id, status, completed_at, result}. The X-GlucoGuard-Job-Id header is set on the delivery request.

PDF reports

from pathlib import Path

pdf_bytes = gg.generate_pdf_report(
    patient={"age": 55, "gender": 0, "bmi": 30, ...},
    diabetes_result={"risk_score": 52.3, "risk_category": "moderate", ...},
    cvd_result={"risk_score": 38.1, "risk_category": "low", ...},
    patient_name="Jane Smith",
)
Path("report.pdf").write_bytes(pdf_bytes)

Error handling

Every failure raises GlucoGuardError with a status_code attribute.

from glucoguard import GlucoGuard, GlucoGuardError

gg = GlucoGuard(api_key="sk_live_...")
try:
    result = gg.predict_diabetes(age=55, gender=0, bmi=30, systolic_bp=140, diastolic_bp=88)
except GlucoGuardError as exc:
    if exc.status_code == 401:
        print("Bad API key")
    elif exc.status_code == 429:
        print("Rate limited — back off and retry")
    else:
        print(f"API error: {exc}")

Ops endpoints

gg.health()          # liveness probe
gg.status()          # full status with model versions and uptime
gg.model_info("diabetes")
gg.sample_patients()

Links

• API docs: https://glucoguard.analyticadss.com/docs
• Homepage: https://glucoguard.analyticadss.com
• Issues: mailto:[e-mail]

Built by Analytica Data Science Solutions.