semvec/pypi-packages huggingface dataset:
oblv-client 0.1.15
python bindings for using enclaves with oblivious tooling
License: Apache-2.0
Requires Python: >=3.7

# oblv-client-python

Python bindings for `oblv` client proxy.

## Installation

```
pip install oblv_client
```

## Usage

```python
import oblv_client as oc
import uuid
oc.set_log_level("info")

# enclave url
enc_url = "http://<some-enclave-url>
enc_port = 8000

# For Pkiauth
enclave = oc.Enclave(
        enc_url,
        enc_port,
        True,
        str(uuid.uuid4()),
        pcr0="",
        pcr1="",
        pcr2="",
        private_key="test_private.der",
        public_key="test_public.der",
        auth_type="pkiauth",
    )
enc_public_key = enclave.attest()

# for OAuth
enclave = oc.Enclave(
        enc_url,
        enc_port,
        True,
        str(uuid.uuid4()),
        pcr0="",
        pcr1="",
        pcr2="",
        auth_type="oauth",
        client_id="<client-id>",
        client_secret="<client-secret>",
        oauth_audience=oauth_audience,
        oauth_url=oauth_url
    )

# To attest
access_token = enclave.attest()

# Make HTTP Request
data = e.get(
    f"http://{enc_url}:{enc_port}/get_report",
    headers={"Header1": "HeaderValue"},
    body=bytes("some body contents", "utf-8"),
    params={"param1": "val1"},
    )
status = data.status
headers = data.headers
body = data.body

print(status)
print(headers)
print(body)

data = e.post(
    f"http://{enc_url}:{enc_port}/get_report",
    headers={"Header1": "HeaderValue"},
    params={"param1": "val1"},
    json={"key": "val"}
    )
status = data.status
headers = data.headers
body = data.body

print(status)
print(headers)
print(body)

```