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BharatSahAIyak / autotune

A comprehensive toolkit for seamless data generation and fine-tuning of NLP models, all conveniently packed into a single block.
MIT License
9 stars 5 forks source link

env standardization #147

Closed Gautam-Rajeev closed 2 months ago

Gautam-Rajeev commented 2 months ago

Summary by CodeRabbit

These changes aim to streamline configuration management and enhance user experience with clearer settings.

coderabbitai[bot] commented 2 months ago

[!CAUTION]

Review failed

The pull request is closed.

Walkthrough ## Walkthrough The pull request introduces modifications to the configuration settings in the `autotune/settings.py` file. Key changes include renaming the `REDIS_URL` variable to `AUTOTUNE_REDIS_URL`, updating the `MINIO_BASE_URL` to be derived from `MINIO_EXTERNAL_BASE_URL` using `urlparse`, hardcoding the `MINIO_SECURE_CONN` variable to `"True"`, and renaming `MINIO_BUCKET_NAME` to `AUTOTUNE_MINIO_BUCKET`. These updates reflect changes in naming conventions and adjustments to how certain configuration values are derived. ## Changes | File | Change Summary | |----------------------------|-----------------------------------------------------------------------------------------------------------------| | autotune/settings.py | - Renamed `REDIS_URL` to `AUTOTUNE_REDIS_URL`
- Updated `MINIO_BASE_URL` to derive from `MINIO_EXTERNAL_BASE_URL` using `urlparse`
- Hardcoded `MINIO_SECURE_CONN` to `"True"`
- Renamed `MINIO_BUCKET_NAME` to `AUTOTUNE_MINIO_BUCKET` |

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