updates endpoint from positronix to groundlight

Makefile

@@ -17,4 +17,4 @@ test-local: install  ## Run integration tests against an API server running at h
 
 
 test-integ: install  ## Run integration tests against the integ API server (needs GROUNDLIGHT_API_TOKEN)
-	GROUNDLIGHT_TEST_API_ENDPOINT="https://device.integ.positronix.ai/device-api" poetry run pytest --cov=src test --log-cli-level INFO
+	GROUNDLIGHT_TEST_API_ENDPOINT="https://api.integ.groundlight.ai/device-api" poetry run pytest --cov=src test --log-cli-level INFO

README.md

@@ -1,9 +1,7 @@
 # Groundlight Python SDK
-
-This package holds an SDK for accessing the Groundlight public API. 
+This package holds an SDK for accessing the Groundlight public API.
 
 ### Installation
-
 Install with `pip` or `poetry`.
 
 ```Bash
@@ -16,14 +14,14 @@ $ poetry add groundlight
 
 ### Basic Usage
 
-To access the API, you need an API token. You can create one on the [groundlight website](https://app.positronix.ai/reef/my-account/api-tokens). Then, you're ready to use the SDK!
+To access the API, you need an API token. You can create one on the [groundlight website](https://app.groundlight.ai/reef/my-account/api-tokens). Then, you're ready to use the SDK!
 
 ```Python
 from groundlight import Groundlight
 
 # Load the API client. This defaults to the prod endpoint,
 # but you can specify a different endpoint like so:
-# gl = Groundlight(endpoint="https://device.integ.positronix.ai/device-api")
+# gl = Groundlight(endpoint="https://device.integ.groundlight.ai/device-api")
 gl = Groundlight(api_token="<YOUR_API_TOKEN>")
 
 # Call an API method (e.g., retrieve a list of detectors)
@@ -36,26 +34,33 @@ detectors = gl.list_detectors()
 
 Check out the [User Guide](UserGuide.md)!
 
-For more details, see the [Groundlight](src/groundlight/client.py) class. This SDK closely follows the methods in our [API Docs](https://app.positronix.ai/reef/admin/api-docs).
-
+For more details, see the [Groundlight](src/groundlight/client.py)
+class. This SDK closely follows the methods in our [API
+Docs](https://app.groundlight.ai/reef/admin/api-docs).
 
 ## Development
 
-The auto-generated SDK code is in the `generated/` directory. To re-generate the client code, you'll need to install [openapi-generator](https://openapi-generator.tech/docs/installation#homebrew) (I recommend homebrew if you're on a mac). Then you can run it with:
+The auto-generated SDK code is in the `generated/` directory. To
+re-generate the client code, you'll need to install
+[openapi-generator](https://openapi-generator.tech/docs/installation#homebrew)
+(I recommend homebrew if you're on a mac). Then you can run it with:
 
 ```Bash
 $ make generate
 ```
 
 ## Testing
-
 Most tests need an API endpoint to run.
 
 ### Local API endpoint
 
-1. Set up a local [janzu API endpoint](https://github.com/positronix-ai/zuuul/blob/main/deploy/README.md#development-using-local-microk8s) running (e.g., on an AWS GPU instance).
+1. Set up a local [janzu API
+   endpoint](https://github.com/positronix-ai/zuuul/blob/main/deploy/README.md#development-using-local-microk8s)
+   running (e.g., on an AWS GPU instance).
 
-1. Set up an ssh tunnel to your laptop. That way, you can access the endpoint at http://localhost:8000/device-api (and the web UI at http://localhost:8000/reef):
+1. Set up an ssh tunnel to your laptop. That way, you can access the
+   endpoint at http://localhost:8000/device-api (and the web UI at
+   http://localhost:8000/reef):
 
     ```Bash
     $ ssh instance-name -L 8000:localhost:80
@@ -68,7 +73,9 @@ Most tests need an API endpoint to run.
     $ make test-local
     ```
 
-(Note: in theory, it's possible to run the janzu API server on your laptop without microk8s - but some API methods don't work because of the dependence on GPUs)
+(Note: in theory, it's possible to run the janzu API server on your
+laptop without microk8s - but some API methods don't work because of
+the dependence on GPUs)
 
 ### Integ API endpoint
 
@@ -81,7 +88,9 @@ Most tests need an API endpoint to run.
 
 ## Releases
 
-To publish a new package version to our [internal pypi repository](https://github.com/positronix-ai/packaging/tree/main/aws), you create a release on github.
+To publish a new package version to our [internal pypi
+repository](https://github.com/positronix-ai/packaging/tree/main/aws),
+you create a release on github.
 
 ```Bash
 # Create a git tag locally. Use semver "vX.Y.Z" format.
@@ -91,7 +100,13 @@ $ git tag -a v0.1.2 -m "Short description"
 $ git push origin --tags
 ```
 
-Then, go to the [github repo](https://github.com/positronix-ai/groundlight-python-sdk/tags) -> choose your tag -> create a release from this tag -> type in some description -> release. A [github action](https://github.com/positronix-ai/groundlight-python-sdk/actions/workflows/publish.yaml) will trigger a release, and then `groundlight-X.Y.Z` will be available for consumers.
+Then, go to the [github
+repo](https://github.com/positronix-ai/groundlight-python-sdk/tags) ->
+choose your tag -> create a release from this tag -> type in some
+description -> release. A [github
+action](https://github.com/positronix-ai/groundlight-python-sdk/actions/workflows/publish.yaml)
+will trigger a release, and then `groundlight-X.Y.Z` will be available
+for consumers.
 
 ## TODOs
 

UserGuide.md

@@ -12,10 +12,11 @@
     $ pip install groundlight
     ```
 
-1. To access the API, you need an API token. You can create one on the [groundlight website](https://app.positronix.ai/reef/my-account/api-tokens).
+1. To access the API, you need an API token. You can create one on the
+   [groundlight website](https://app.groundlight.ai/reef/my-account/api-tokens).
 
 1. Use the `Groundlight` client!
-   
+
     ```Python
     from groundlight import Groundlight
     gl = Groundlight(api_token="<YOUR_API_TOKEN>")

generated/docs/ImageQueriesApi.md

@@ -4,9 +4,9 @@ All URIs are relative to *https://device.positronix.ai/device-api*
 
 Method | HTTP request | Description
 ------------- | ------------- | -------------
-[**get_image_query**](ImageQueriesApi.md#get_image_query) | **GET** /v1/image-queries/{id} | 
-[**list_image_queries**](ImageQueriesApi.md#list_image_queries) | **GET** /v1/image-queries | 
-[**submit_image_query**](ImageQueriesApi.md#submit_image_query) | **POST** /v1/image-queries | 
+[**get_image_query**](ImageQueriesApi.md#get_image_query) | **GET** /v1/image-queries/{id} |
+[**list_image_queries**](ImageQueriesApi.md#list_image_queries) | **GET** /v1/image-queries |
+[**submit_image_query**](ImageQueriesApi.md#submit_image_query) | **POST** /v1/image-queries |
 
 
 # **get_image_query**
@@ -171,7 +171,7 @@ Name | Type | Description  | Notes
 
 
 
- Submit an image query against a detector.  You must use `\"Content-Type: image/jpeg\"` for the image data. For example:  ```Bash $ curl https://api.groundlight.ai/v1/image-queries?detector_id=det_abc123 \\     --header \"Content-Type: image/jpeg\" \\     --data-binary @path/to/filename.jpeg ```  
+ Submit an image query against a detector.  You must use `\"Content-Type: image/jpeg\"` for the image data. For example:  ```Bash $ curl https://api.groundlight.ai/device-api/v1/image-queries?detector_id=det_abc123 \\     --header \"Content-Type: image/jpeg\" \\     --data-binary @path/to/filename.jpeg ```
 
 ### Example
 
@@ -252,4 +252,3 @@ Name | Type | Description  | Notes
 **201** |  |  -  |
 
 [[Back to top]](#) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to Model list]](../README.md#documentation-for-models) [[Back to README]](../README.md)
-

pyproject.toml

@@ -3,7 +3,7 @@ name = "groundlight"
 version = "0.2.0"
 license = "MIT"
 readme = "UserGuide.md"
-homepage = "https://app.positronix.ai"
+homepage = "https://groundlight.ai"
 description = "Call the Groundlight API from python"
 authors = ["Groundlight AI <support@groundlight.ai>"]
 packages = [

spec/public-api.yaml

@@ -120,7 +120,7 @@ paths:
         You must use `"Content-Type: image/jpeg"` for the image data. For example:
 
         ```Bash
-        $ curl https://api.groundlight.ai/v1/image-queries?detector_id=det_abc123 \
+        $ curl https://api.groundlight.ai/device-api/v1/image-queries?detector_id=det_abc123 \
             --header "Content-Type: image/jpeg" \
             --data-binary @path/to/filename.jpeg
         ```
@@ -371,11 +371,11 @@ components:
       type: apiKey
       in: header
 servers:
+- url: https://api.groundlight.ai/device-api
+  description: Prod
+- url: https://api.integ.groundlight.ai/device-api
+  description: Integ
 - url: https://device.positronix.ai/device-api
   description: Device Prod
 - url: https://device.integ.positronix.ai/device-api
   description: Device Integ
-- url: https://api.groundlight.ai
-  description: Prod
-- url: https://api.integ.groundlight.ai
-  description: Integ

src/groundlight/client.py

@@ -10,7 +10,7 @@
 
 from groundlight.images import buffer_from_jpeg_file
 
-API_TOKEN_WEB_URL = "https://app.positronix.ai/reef/my-account/api-tokens"
+API_TOKEN_WEB_URL = "https://app.groundlight.ai/reef/my-account/api-tokens"
 API_TOKEN_VARIABLE_NAME = "GROUNDLIGHT_API_TOKEN"
 
 
@@ -30,7 +30,7 @@ class Groundlight:
     ```
     """
 
-    def __init__(self, endpoint: str = "https://device.positronix.ai/device-api", api_token: str = None):
+    def __init__(self, endpoint: str = "https://api.groundlight.ai/device-api", api_token: str = None):
         """
         :param endpoint: optionally specify a different endpoint
         :param api_token: use this API token for your API calls. If unset, fallback to the