timothynn / timothynn/aviation-intelligence

P1: Add SAFA/SACA adapter and historical/current source separation

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enhancement priority:P1
Dominant language
Python
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Description

Implement a scheme adapter for the EASA ramp inspection ecosystem. Keep the supplied SAFA v2.0 guidance as a historical/reference dataset and add metadata for current EASA source versions. Model targeting, checklist groups, findings, actions, communications, evidence and follow-up without hard-coding generic inspection types.

Reference: skills/safa-ramp-intelligence/reference-model.md and safa-workflow.json.

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with skills/safa-ramp-intelligence/reference-model.md and safa-workflow.json to understand the intended SAFA/SACA adapter and workflow. Define the separation between the supplied SAFA v2.0 historical dataset and current EASA source metadata, then cover targeting, checklist groups, findings, actions, communications, evidence, and follow-up without generic inspection types.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
backend-api-design
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Active
Clarity
Mostly clear
Newbie friendliness
35/100

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