def client(env: Optional[str] = None) -> Client:
"""
Initialize a client based on the specified environment.
Args:
env: Name of the environment to use.
Returns:
Cortex client that can be used to deploy and manage APIs in the specified environment.
"""
environments = env_list()
if env is None:
if not environments["default_environment"]:
raise NotFound("no default environment configured")
env = environments["default_environment"]
found = False
for environment in environments["environments"]:
if environment["name"] == env:
found = True
break
if not found:
raise NotFound(
f"can't find environment {env}, create one by calling `cortex.new_client()`"
)
return Client(environment)
def client(env: str):
"""
Initialize a client based on the specified environment.
Args:
env: Name of the environment to use.
Returns:
Cortex client that can be used to deploy and manage APIs in the specified environment.
"""
environments = env_list()
found = False
for environment in environments:
if environment["name"] == env:
found = True
break
if not found:
raise NotFound(
f"can't find environment {env}, create one by calling `cortex.cluster_client()`"
)
return Client(environment)
def client(env: str):
"""
Initialize a client based on the specified environment.
To deploy and manage APIs on a new cluster:
1. Spin up a cluster using the CLI command `cortex cluster up`.
An environment named "aws" will be created once the cluster is ready.
2. Initialize your client:
```python
import cortex
c = cortex.client("aws")
c.deploy("./cortex.yaml")
```
To deploy and manage APIs on an existing cluster:
1. Use the command `cortex cluster info` to get the Operator Endpoint.
2. Configure a client to your cluster:
```python
import cortex
c = cortex.cluster_client("aws", operator_endpoint, aws_access_key_id, aws_secret_access_key)
c.deploy("./cortex.yaml")
```
To deploy and manage APIs locally:
```python
import cortex
c = cortex.client("local")
c.deploy("./cortex.yaml")
```
Args:
env: Name of the environment to use.
Returns:
Cortex client that can be used to deploy and manage APIs in the specified environment.
"""
environments = env_list()
found = False
for environment in environments:
if environment["name"] == env:
found = True
if not found:
raise NotFound(
f"can't find environment {env}, create one by calling `cortex.cluster_client()`"
)
return Client(env)