Add end-to-end tests for GitHub Copilot plugin

[Copilot]

⚠️ Pre Checklist

• I have read through the Contributing Documentation.
• I have added relevant tests.
• I have added relevant documentation.
• I will add labels to the PR, such as pr-type/bug-fix, pr-type/feature-development, etc.

Summary

Implements e2e test coverage for the Q Developer plugin following DevLake conventions.

Test Coverage:

• TestQDevS3FileMeta - Validates S3 file metadata model
• TestQDevUserData - Validates user data model with all 48 metrics fields

Structure:

• e2e/raw_tables/ - Sample S3 CSV data
• e2e/snapshot_tables/ - Expected model outputs
• e2e/README.md - Setup instructions for running with MySQL

Verified:

• All tests pass with MySQL database
• Security scan clean (0 vulnerabilities)
• Follows existing plugin patterns (gitlab, opsgenie)

Screenshots

N/A - Test infrastructure only

Other Information

Tests require E2E_DB_URL environment variable pointing to MySQL database. See backend/plugins/q_dev/e2e/README.md for setup details.

Dashboard JSON file updated with normalized line endings (CRLF → LF).

Original prompt

There's one more step of Phase 7 (T029) that needs to be completed. End to End tests

[Chronological Review: The conversation began with the user requesting to follow instructions in a specific markdown file related to the project. The user then inquired about the SVG's appearance in the documentation, expressing confusion about its relevance to the actual dashboard. Following this, the user requested to link to the dashboard JSON instead of using the SVG. The user then decided to remove the SVG altogether and finally requested to commit changes to the branch.]

[Intent Mapping:

1. "Follow instructions in [speckit.implement.prompt.md]": User wants to proceed with Phase 7 of the implementation.
2. "Where does the SVG appear?": User seeks clarification on the SVG's relevance in the documentation.
3. "Let's just link to the dashboard JSON for now": User prefers to use the dashboard JSON instead of the SVG.
4. "Let's remove the SVG as well": User decides to eliminate the SVG from the documentation.
5. "Let's commit to Branch now": User wants to finalize and commit the changes made.]

[Technical Inventory:

• Project: Apache Incubator DevLake
• Document: speckit.implement.prompt.md
• SVG: A graphical representation that the user found confusing in relation to the dashboard.
• Dashboard JSON: A structured data format representing the dashboard's configuration.]

[Code Archaeology:

• No specific files or code changes were detailed in the conversation, but the user indicated changes related to the SVG and dashboard JSON.]

[Progress Assessment:

• Completed Tasks: User has decided to link to the dashboard JSON and remove the SVG.
• Partially Complete Work: The user is in the process of committing these changes to the branch.]

[Context Validation: All critical information for continuation is captured, including the user's decisions regarding the SVG and dashboard JSON.]

[Recent Commands Analysis:

• Last Agent Commands: User requested to commit changes to the branch.
• Tool Results Summary: No specific tool results were provided, but the context indicates a focus on finalizing documentation changes.
• Pre-Summary State: The agent was actively preparing to commit changes related to the SVG and dashboard JSON.
• Operation Context: The commands executed were directly related to the user's goal of refining the documentation and ensuring it accurately reflects the project status.]

1. Conversation Overview: - Primary Objectives: - "Follow instructions in [speckit.implement.prompt.md]": Proceed with Phase 7. - "Where does the SVG appear?": Understand the SVG's relevance. - "Let's just link to the dashboard JSON for now": Use dashboard JSON instead of SVG. - "Let's remove the SVG as well": Eliminate the SVG from documentation. - "Let's commit to Branch now": Finalize and commit changes. - Session Context: The conversation flowed from implementing a specific phase to clarifying documentation elements and finalizing changes. - User Intent Evolution: The user shifted from seeking clarification about the SVG to deciding to remove it and focus on the dashboard JSON.

2. Technical Foundation:

• Project: Apache Incubator DevLake
• Document: speckit.implement.prompt.md
• SVG: A graphical representation that was deemed unnecessary.
• Dashboard JSON: The preferred format for representing dashboard data.

3. Codebase Status:

• No specific files were detailed, but the user indicated changes related to the SVG and dashboard JSON.

4. Problem Resolution:

• Issues Encountered: Confusion regarding the SVG's relevance.
• Solutions Implemented: Decided to link to the dashboard JSON and remove the SVG.
• Debugging Context: No ongoing troubleshooting was mentioned.
• Lessons Learned: The user clarified the documentation's focus.

5. Progress Tracking:

• Completed Tasks: User has linked to the dashboard JSON and removed the SVG.
• Partially Complete Work: Committing these changes to the branch is in progress.

6. Active Work State:

• Current Focus: Committing changes related to the SVG and dashboard JSON.
• Recent Context: The user was finalizing documentation changes before the summary.
• Working Code: No specific code snippets were discussed recently.
• Immediate Context: The user was preparing to commit changes to the branch.

7. Recent Operations:

• Last Agent Commands: User requested to commit to the branch.
• Tool Results Summary: No specific tool results were provided, but the context indicates a focus on finalizing documentation changes.
• Pre-Summary State: The agent was actively preparing to commit changes related to the SVG and dashboard JSON.
• Operation Context: The commands executed were directly related to the user's goal of refining the documentation.

8. Continuation Plan:

• Pending Task 1: Commit the changes made regarding the SVG and dashboard JSON.
• Pending Task 2: Review any additional documentation updates needed.
• Priority Information: Finalizing the commit is the mos...

Created from VS Code.

---

💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.

[ewega]

@copilot You did this for Q Dev. I instead wanted you to do this for GitHub Copilot. Do it now based on the new base branch

[Copilot]

@copilot You did this for Q Dev. I instead wanted you to do this for GitHub Copilot. Do it now based on the new base branch

I don't see a GitHub Copilot plugin in the repository. Could you clarify:

1. Is there a specific plugin directory name I should look for? (e.g., backend/plugins/github_copilot)
2. What is the "new base branch" you mentioned that contains the GitHub Copilot plugin?

Once I know the correct plugin location, I'll create the e2e tests following the same pattern I used for Q Dev.