Manual Repository Sync Operations Testing

Hey guys! Let's dive into the nitty-gritty of testing manual sync operations for your code repositories. This guide walks you through the essential tests to ensure your local repository stays in sync with the remote server. We'll cover everything from basic syncs to full re-indexing, dry runs, and bulk syncs. Ensuring your code and the semantic index are always current is super important. We will also touch on how to handle potential issues like merge conflicts, network interruptions, and permissions issues, so you're well-prepared for any situation. Let's get started!

🎯 Story Intent

Our main goal here is to make sure the repository synchronization functionality works flawlessly. We want to guarantee reliable sync operations between your local and remote repositories, and also make sure you see clear progress reporting along the way. Think of it like this: your local code should always match what's on the server, and you should always know what's happening during the process. This testing story is all about validating this synchronization process. Making sure everything stays in sync smoothly and efficiently is critical for developers.

Why This Matters

Reliable sync operations are the backbone of a smooth development workflow. Imagine this: you're working on a feature, and your local code is out of sync with the team's changes. That's a recipe for headaches and wasted time. This story helps avoid those scenarios. With proper sync operations, developers can: Keep their code up-to-date, reduce merge conflicts, stay in the know with team changes. The focus here is on ensuring that the sync operations are reliable, efficient, and provide clear feedback.

📋 Story Description

Okay, so the core idea here is simple: as a developer, you want to sync your local repository with the remote server. You need your code and the semantic index to stay current with any changes your team makes. Think of it as a constant update, ensuring you have the latest versions of everything. This means the code you see locally, and the semantic index that powers the search and understanding of your code, are always in sync with what's on the server. That way, you're always working with the most up-to-date version of the project. And the changes your team makes are immediately reflected in your local environment. This keeps things consistent and minimizes potential issues caused by working with outdated code.

The Developer's Perspective

• Up-to-Date Code: Ensures developers always have the latest code. This includes any bug fixes, new features, and other updates made by team members. The goal is to always have the latest and greatest!
• Consistent Index: The semantic index should be synchronized with the remote server state to make sure code is searchable and understandable. You can use the indexing feature to search through your code.
• Smooth Workflow: Sync operations should be seamless. They should not disrupt the workflow and should always be easy to manage. The sync operations should be easy to use and not require extra steps.

🔧 Test Procedures

Now, let's break down the tests to confirm the sync operations are working correctly. We'll go through several test cases, each with specific commands and expected outcomes.

Test 5.1.1: Basic Repository Sync

• Command: python -m code_indexer.cli sync
• What to Expect:
  • The sync operation should kick off without any issues.
  • Git's pull or fetch commands should execute and retrieve the latest changes from the remote server.
  • Your semantic index should update to reflect all the changes pulled in. The index is super important for understanding and searching through the code.
  • You should see progress reports that clearly indicate the different phases of the sync, such as fetching, merging, and indexing.
• Pass/Fail Criteria:
  • Pass: The sync completes successfully, and your repository is updated to match the latest state.
  • Fail: The sync fails, or the repository ends up in an inconsistent state, meaning your local code doesn't match what's on the remote server.

Test 5.1.2: Full Repository Re-indexing

• Command: python -m code_indexer.cli sync --full-reindex
• What to Expect:
  • Instead of doing an incremental update (just the changes), this command forces a complete re-indexing of everything.
  • All files in the repository will be processed, regardless of whether they have changed.
  • You'll see progress updates indicating the full re-indexing operation, which can take longer than a standard sync.
  • The entire repository index should be completely refreshed after the sync completes.
• Pass/Fail Criteria:
  • Pass: The full re-indexing completes without a hitch.
  • Fail: An incremental sync is performed instead of a full re-index, or there are issues during the indexing process.

Test 5.1.3: Sync Without Git Pull

• Command: python -m code_indexer.cli sync --no-pull
• What to Expect:
  • This one skips the git pull operations completely. It just focuses on indexing the current state of your repository.
  • No network operations will be attempted.
  • The local content will be indexed as is.
• Pass/Fail Criteria:
  • Pass: Indexing is performed successfully without any git operations.
  • Fail: The system tries to perform a git pull, or the sync fails.

Test 5.1.4: Dry Run Preview

• Command: python -m code_indexer.cli sync --dry-run
• What to Expect:
  • This command shows you what would happen during a sync without actually doing it.
  • It will list the repositories and operations that are planned.
  • No actual sync operations will be performed.
  • You should get a clear preview of the intended actions.
• Pass/Fail Criteria:
  • Pass: The preview is displayed without any actual execution.
  • Fail: Operations are executed, or the preview is unclear.

Test 5.1.5: Bulk Repository Sync

• Command: python -m code_indexer.cli sync --all
• What to Expect:
  • This will sync all the repositories that the user has activated.
  • It will process multiple repositories one after the other.
  • You'll get individual sync results for each repository.
  • It should handle any failures in individual repositories gracefully (e.g., continue syncing others even if one fails).
• Pass/Fail Criteria:
  • Pass: All repositories are processed, with status reporting for each one.
  • Fail: The bulk sync fails, or it doesn't cover all repositories.

📊 Success Metrics

We need to measure how well these sync operations perform. Here’s what we'll be looking at:

• Sync Reliability: We want the sync to succeed more than 95% of the time for standard operations.
• Progress Visibility: You should see real-time updates every 5% of the way through the process.
• Performance: For typical repositories, the sync should complete within 2 minutes.
• State Consistency: After a successful sync, the local repository should exactly match the remote state.

Measuring Success

These metrics are super important because they show how good the sync operations actually are. Reliable syncs save time and frustration. The goal is to make sure your workflow is efficient and that you're always working with the most up-to-date version of the code.

🎯 Acceptance Criteria

To ensure everything works as expected, here’s a checklist:

• ✅ Basic sync operations should complete without issues, including Git updates.
• ✅ Merge strategies must be applied correctly during syncs.
• ✅ Full re-sync operations should refresh the repository completely.
• ✅ Progress reporting should give you a clear view of what’s happening during the different sync phases.
• ✅ Any errors during the sync should be handled properly.
• ✅ After a successful sync, the final state of the repository should be consistent.

Focusing on Key Areas

• Git Synchronization: Sync should correctly update your local repository.
• Progress Reporting: The status updates should clearly show what's happening.
• Error Handling: Sync operations need to deal with any unexpected situations.
• Final Repository State: Making sure everything is consistent after the sync completes is vital.

📝 Manual Testing Notes

Here’s what you need to know before you start testing.

Prerequisites

• Make sure you've finished testing Feature 4 (Semantic Search). This ensures you have all the necessary elements in place.
• You should have a repository with a remote origin configured.
• You need write permissions to the repository directories so you can make the necessary changes.
• The server-side repository should have updates available for testing.

Test Environment Setup

1. Make sure your repository has a remote origin and has updates available. This step is about making sure you can pull changes.
2. Create some local changes so you can test how the merge strategy is handled. This will ensure any merge issues will be resolved without problems.
3. Verify that you have write permissions for Git and index operations. This will avoid any permission errors during syncs.
4. Prepare to monitor the progress of the sync operations.

Sync Testing Scenarios

Here are some of the scenarios you should test.

• Clean Repository: Start with a repository with no local changes. This is the baseline test.
• Repository with Uncommitted Local Changes: Ensure the sync handles uncommitted changes correctly, and make sure those changes don't get lost or overwritten.
• Repository with Committed but Unpushed Changes: Ensure the sync operations handle committed but unpushed changes properly.
• Repository Requiring Merge Conflict Resolution: Make sure you can resolve merge conflicts if necessary.

Post-Test Validation

After each test, make sure of these key points.

1. Confirm that the Git state of the repository matches the expected outcome. Check that the right files are there and that the sync has worked.
2. Verify the semantic index has been updated to reflect the repository changes. Double-check that your index has been updated correctly.
3. Ensure there's no corruption in either the Git data or the index data. Double-check to avoid data corruption or any other unexpected issues.
4. Confirm the progress reporting was accurate throughout the sync. Ensure that you have the right visibility into what is going on.

Common Issues

Be prepared for these issues during testing.

• Merge Conflicts: You might have to resolve merge conflicts manually.
• Network Interruptions: Network hiccups during sync operations can happen.
• Permission Issues: You may run into permission issues with Git or index files.
• Large Repositories: Large repositories might take a while to sync, so plan your time accordingly.

That's it, guys! Follow these steps and you will be able to make sure your repository synchronization works well.