Release v0.5.3

Author: markgeejw

Makefile

@@ -1,4 +1,4 @@
-VERSION ?= 0.5.2
+VERSION ?= 0.5.3
 SHELL := /bin/bash
 
 .PHONY: releasehere

README.md

@@ -22,7 +22,7 @@ The OpenProtein.AI Python Interface provides a user-friendly library to interact
 
 # Quick-start
 
-Get started with our quickstart README! You can peruse the [official documentation](https://docs.openprotein.ai/python-api/) for more details!
+Get started with our quickstart README! You can peruse the [official documentation](https://docs.openprotein.ai/api-python/) for more details!
 ## Installation 
 
 To install the python interface using pip, run the following command: 
@@ -46,7 +46,7 @@ conda install -c openprotein openprotein-python
 # Getting started
 
 
-Read on below for the quick-start guide, or see the [docs](https://docs.openprotein.ai/python-api/) for more information!
+Read on below for the quick-start guide, or see the [docs](https://docs.openprotein.ai/api-python/) for more information!
 
 To begin, create a session using your login credentials.
 ```
@@ -155,4 +155,4 @@ future.get_msa()
 future.get_seed()
 ```
 
-See more at our [Homepage](https://docs.openprotein.ai/)
+See more at our [Homepage](https://docs.openprotein.ai/)

anaconda_build/meta.yaml

@@ -1,6 +1,6 @@
 package:
   name: openprotein-python
-  version: "0.5.2"
+  version: "0.5.3"
 
 source:
   path: ../

openprotein/__init__.py

@@ -47,7 +47,7 @@ def wait(self, future: Future, *args, **kwargs):
     wait_until_done = wait
 
     def load_job(self, job_id):
-        return self.jobs.__load(job_id=job_id)
+        return self.jobs.get(job_id=job_id)
 
     @property
     def data(self) -> AssayDataAPI:

openprotein/schemas/job.py

@@ -30,6 +30,11 @@ class JobType(str, Enum):
 
     align_align = "/align/align"
     align_prompt = "/align/prompt"
+
+    clustalo = "/align/clustalo"
+    mafft = "/align/mafft"
+    abnumber = "/align/abnumber"
+
     poet = "/poet"
     poet_score = "/poet/score"
     poet_single_site = "/poet/single_site"
@@ -105,7 +110,7 @@ def create(cls, obj: "Job | Response | dict", **kwargs) -> Self:
             job_classes = Job.__subclasses__()
             job = TypeAdapter(Union[tuple(job_classes)]).validate_python(d | kwargs)  # type: ignore
         except Exception as e:
-            raise ValueError(f"Error parsing job from obj: {obj}: {e}")
+            job = Job.model_validate(d | kwargs)
         return job  # type: ignore - static checker cannot know runtime type
 
     # hide extra allowed fields

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "openprotein_python"
 packages = [{ include = "openprotein" }]
-version = "0.5.2"
+version = "0.5.3"
 description = "OpenProtein Python interface."
 license = "MIT"
 readme = "README.md"