Connect mindsdb to the bot

Walkthrough

The project has seen a comprehensive update, enhancing its pull request commenting capabilities and integrating with MindsDB for predictive modeling. It now connects to MongoDB more aptly, refines logging, and revises the data schema to include risk assessment features. Additionally, the codebase has been refactored to streamline GitHub event handling and facilitate machine learning model training, aiming to predict risk scores for files in repositories.

Changes

File Path	Change Summary
`src/constants/Comments.ts`	Introduced `CommentType` enum and functions for PR comments.
`src/db/.../mindsdbConnection.ts`	Added functions for MindsDB connection via `mindsdb-js-sdk` and Probot.
`src/db/models/File.ts`	Changed `riskScore` to mandatory; added `predictedRiskScore`; renamed export to `repoFile`.
`src/db/models/TrainingFile.ts` & `src/types/TrainingFileType.ts`	Created Mongoose schema and type for training file data.
`src/db/mongodbConnection.ts`	Renamed `connectDb` to `connectMongoDB`.
`src/fetch/...`	Updated error and log messages with square brackets for clarity.
`src/listeners/githubWebhookListener.ts`	Added function for GitHub webhook event listening.
`src/main.ts`	Overhauled main function for new DB connections and model training logic.
`src/services/commentService.ts`	Added constants and updated comment construction with `predictedScore`.
`src/services/predictionService.ts`	Added model training and retraining functionality with MindsDB.
`src/services/pullRequestService.ts` & `src/services/repositoryService.ts`	Updated functions for file updates and batch processing with new risk score features.
`src/types/FileScoreMap.ts` & `src/types/FileType.ts`	Added `predictedScore` and `predictedRiskScore` properties.

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vishesh-baghel / glide