AusClimateService / AusClimateService/axiom

Detect missing time steps on input data.

Open
#124 0 comments 0 reactions 0 assignees View on GitHub
enhancement
Dominant language
Python
Stars
3
Forks
3
PR merge metrics
No merged PRs in 30d

Description

We need the ability to detect any missing time steps on the input data.

This will require the following:

- [ ] Determine the frequency and number of input time steps
- [ ] Create an index of the expected time dimension
- [ ] Compare this with loaded time dimension, finding any differences

As always, this will need to be a configurable option in processing to accommodate user needs.

Contributor guide

Open the contributing guide

Research direction

No files or tests are named. Start by locating the input-data processing entry point and its existing configuration options, then trace how the time dimension is loaded. Done means configurable processing can determine the expected time steps, compare them with the loaded dimension, and report missing steps.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
38/100

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