QuantEngineByItz/docs/GITEA_VARIABLES_SMOKE_CHECKLIST.md

Gitea Variables Smoke Checklist

Use this after registering values in Settings > Actions > Variables.

Operator Quick Run

1. Confirm the four KIS variables exist.
2. Confirm the seed snapshot exists as either GatherTradingData.json or GatherTradingData.xlsx.
3. Trigger kis_data_collection.yml manually.
4. Confirm the credential step passes in --dry-run mode.
5. Confirm the SQLite artifact is written.
6. Trigger qualitative_sell_strategy.yml manually.
7. Confirm the mock credential step passes in --dry-run mode and the batch build step resolves the same variables.
8. If any step fails, check the troubleshooting section below.

See also:

• Runbook
• Failure Analysis

Variable names to verify

• KIS_APP_KEY_TEST
• KIS_APP_SECRET_TEST
• KIS_APP_KEY
• KIS_APP_SECRET

Expected workflow consumers

• .gitea/workflows/kis_data_collection.yml
• .gitea/workflows/qualitative_sell_strategy.yml
• .gitea/workflows/ci.yml

Smoke test steps

1. Open Settings > Actions > Variables and confirm the four KIS variables exist.
2. Trigger .gitea/workflows/kis_data_collection.yml with workflow_dispatch.
3. Check the job log for the credential validation step.
4. Check the collection step.
5. Confirm the job writes:
   • Temp/kis_data_collection_v1.json
   • outputs/kis_data_collection/kis_data_collection.db
6. Trigger .gitea/workflows/qualitative_sell_strategy.yml.
7. Confirm the mock credential validation step reads the same variable names.
8. Confirm the batch build step sees KIS_APP_KEY and KIS_APP_SECRET.
9. If the job fails, inspect whether the variables are missing, renamed, or empty.

Pass criteria

• The workflow no longer references secrets.KIS_APP_* for KIS values.
• The job starts without variable resolution errors.
• The collector outputs are written successfully.
• The log shows the KIS credential validation step running with the configured variables.

Troubleshooting

• Missing variable name: Gitea variable key does not match the exact KIS_APP_* spelling.
• Empty variable: the workflow resolves the name, but the Python loader treats the value as missing.
• Wrong scope: the variable exists in another repository or organization scope, not this repo.
• Runner mismatch: the job runs on a stale self-hosted runner cache or old workflow revision.

Notes

• Gitea variables are repository-scoped when configured in the repo settings.
• Variable names are case-sensitive.
• Empty values behave as missing values for the Python loader.