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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
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POST and GET /dataset #108

Closed sooraj1002 closed 4 months ago

sooraj1002 commented 4 months ago

Summary by CodeRabbit

coderabbitai[bot] commented 4 months ago

[!WARNING]

Review failed

The pull request is closed.

Walkthrough

The recent updates introduce enhancements to the workflow application. The Dataset and DatasetData classes in the model now include additional fields and constraints to ensure data integrity. Additionally, a validation function was removed from the signals, and a minor but crucial change was made to field names in the training script.

Changes

File Change Summary
workflow/models.py Added UniqueConstraint, modified latest_commit_hash, and added record_id and user fields
workflow/signals.py Removed validate_dataset_fields function
workflow/training/train.py Updated fieldNames from ["id", "file"] to ["record_id", "file"]

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant DatasetModel
    participant DatasetDataModel

    User->>DatasetDataModel: Create DatasetData(record_id, user)
    activate DatasetDataModel
    DatasetDataModel-->>DatasetModel: Update latest_commit_hash
    DatasetDataModel-->>User: Return success with unique constraints
    deactivate DatasetDataModel

Poem

In models, constraints take the lead,
To ensure our data stays clean indeed,
A field name change, so neat and right,
In the code’s soft, illuminating light,
Cheers to progress, with a hop and a cheer,
Our workflow evolves, mere bugs to fear! 🎉

[!TIP]

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