chore: point Course Optimizer proxy at local xpert-ai-workflows - #231
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nsprenkle wants to merge 1 commit into
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chore: point Course Optimizer proxy at local xpert-ai-workflows#231nsprenkle wants to merge 1 commit into
nsprenkle wants to merge 1 commit into
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Studio's course_analysis_report proxy views need to reach xpert-ai-workflows running on the host machine (not the devstack docker network) via Docker's host-gateway alias, on port 19090 (chosen to avoid every port already in use across this repo's own service/MFE allocations).
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Pull request overview
Updates devstack Studio (CMS) dev settings so the course_analysis_report proxy can reach a locally running xpert-ai-workflows service on the host machine (outside the Docker network), targeting port 19090.
Changes:
- Add
COURSE_ANALYSIS_WORKFLOW_URLpointing tohost.docker.internal:19090. - Add
COURSE_ANALYSIS_WORKFLOW_API_KEYfor authenticating Studio toxpert-ai-workflows.
Suppressed comments (1)
py_configuration_files/cms.py:299
- This value is a shared secret used to authenticate Studio to an external service; hardcoding it in the repo makes local overrides harder and risks accidental reuse outside dev. Prefer sourcing it from ENV_TOKENS (or an env var) and leaving the default empty/placeholder so developers explicitly configure it to match their xpert-ai-workflows instance.
COURSE_ANALYSIS_WORKFLOW_API_KEY = 'this_is_a_test_api_key' # matches xpert-ai-workflows' local .env
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| # xpert-ai-workflows running on the host machine (not in the devstack docker | ||
| # network), reached via Docker's host-gateway alias. Shared secret must match | ||
| # that service's own EDX_STUDIO_API_KEY. | ||
| COURSE_ANALYSIS_WORKFLOW_URL = 'http://host.docker.internal:19090' |
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Studio's course_analysis_report proxy views need to reach xpert-ai-workflows running on the host machine (not the devstack docker network) via Docker's host-gateway alias, on port 19090 (chosen to avoid every port already in use across this repo's own service/MFE allocations).
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