INCATools / INCATools/ontology-access-kit
Bug/UX: OAK requires internet connection
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- Dominant language
- Python
- Stars
- 198
- Forks
- 35
- Avg merge
- 3d 4h
- Merged PRs (30d)
- 1
Description
## Overview
I know it's probably almost always the case that someone will have an internet connection when developing/using, but it would be much more reliable / better UX if there were fallbacks in place in case there is no internet connection. In this case, I was coding w/ no connection when this came up.
## Error info
**Error type raised**: `requests.exceptions.ConnectionError: HTTPSConnectionPool()`
**Occurred on:** `import oaklib`
**Full log:** [full log.txt](https://github.com/INCATools/ontology-access-kit/files/9428798/full.log.txt)
**Core part of log:**
```
from oaklib.interfaces.basic_ontology_interface import BasicOntologyInterface
File "...oaklib/interfaces/basic_ontology_interface.py", line 8, in
from oaklib.datamodels.vocabulary import (
File "...oaklib/datamodels/vocabulary.py", line 3, in
from linkml_runtime import CurieNamespace
File "...linkml_runtime/__init__.py", line 2, in
from linkml_runtime.utils.schemaview import SchemaView
File "...linkml_runtime/utils/schemaview.py", line 9, in
from linkml_runtime.utils.namespaces import Namespaces
File "...linkml_runtime/utils/namespaces.py", line 4, in
from prefixcommons import curie_util
```
## Related issues
https://github.com/prefixcommons/prefixcommons-py/issues/25
https://github.com/linkml/linkml/issues/1059
## Possible solutions
We can have `prefixcommons.curie_util` cache whatever it's trying to get remotely and, if there is no current internet connection, it can print a warning to alerting to this fact.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the import chain in oaklib/interfaces/basic_ontology_interface.py and oaklib/datamodels/vocabulary.py, then inspect the related prefixcommons and linkml issues. Determine what remote lookup occurs during import and how its cache or offline fallback should behave. Done means importing oaklib without an internet connection no longer raises the reported ConnectionError and provides an appropriate warning.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- backend
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100