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96 changes: 96 additions & 0 deletions content/docs/2025/beer-bears/week2.md
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---
title: "Week #2"
---
# Week #2 (Jun 12 - Jun 18)

## Detailed Requirements Elaboration

This week focused on establishing Scaffold's core technical foundation through detailed requirements specification. We defined and implemented:
- (1) **Graph entity schemas** (Nodes, Relationships, Tags, Metainfo) to structurally represent code components and their dependencies;
- (2) **AT Generator specifications** for transforming parsed code into srtuctured database;
- (3) **Database configuration requirements** ensuring Neo4j compatibility for graph persistence;
- (4) **MCP interface standards** create interface for llm inregration;
- (5) **Testing infrastructure** create Python projects test group, research now to setup pipeline for context fetching technique.
### Prioritized backlog

[Scaffold Planning Board](https://github.com/orgs/Beer-Bears/projects/1)

## Project specific progress

### Software Development

- Database configuration (#6) - Done (Trunn5)
- AT Generator (#11) - Done (Trunn5, onemoreslacker)
- Parser for Python project (#9) - In Progress (onemoreslacker)
- Define Graph Entities: Nodes, Relationships, Tags, Metainfo (#10) - Done (Trunn5, peplxx, onemoreslacker)
- Simple MCP interface (#18) - Pull Request (mashfeii)

### Management
- Project Roles for points evaluation (#31) - Done (peplxx)
- Setup Planning Board (#27) - Done (Trunn5, peplxx)
- Update project README (#30) - Done (peplxx)
- Week 2 Report (#25) - In Progress (peplxx)

### Research
- Research: How QA pipeline will be setup (#12) - Done (4hellboy4)

### DevOps & Infrastructure
- CI: Pull Request Conventional Checker (#38) - Done (peplxx)
- Setup Dependabot for project (#42) - Pull Request (peplxx)

### Testing
- Create testgroup with python projects (#33) - Done (peplxx)

# Weekly commitments

## Individual contribution of each participant
- **4hellboy4**:
- Researched and finalized QA pipeline setup (#12)
- **peplxx**:
- Updated project README (#30)
- Defined project roles for points evaluation (#31)
- Setup CI Pull Request Conventional Checker (#38)
- Created Python project testgroup (#33)
- Setup Planning Board (#27) with Trunn5
- Defined Graph Entities (#10) with team
- Setup Dependabot (#42) - PR
- Preparing Week 2 report (#25) - In Progress
- **Trunn5**:
- Configured database system (#6)
- Developed AT Generator (#11) with onemoreslacker
- Setup Planning Board (#27) with peplxx
- Defined Graph Entities (#10) with team
- **onemoreslacker**:
- Developed AT Generator (#11) with Trunn5
- Developing Python project parser (#9) - In Progress
- Defined Graph Entities (#10) with team
- **mashfeii**:
- Developed Simple MCP interface (#18) - PR

## Plan for Next Week

1. **Implement full MCP server** with needed llm integration
2. **Integrate MCP server** with Python pasrser and Neo4j database
3. **Research signal interface** for Database refreshing mechanism.
4. **Develop autotesting setup** for parser and AT generator components
5. **Implement testing pipeline** for context fetching evaluation metrics
6. **Establish QA framework** for graph accuracy validation

## Usefull Links

- [Course Repository](https://github.com/IU-Capstone-Project-2025/scaffold)
- [Main Repository](https://github.com/Beer-Bears/scaffold)

- [Excalidraw Board](https://excalidraw.com/#json=DNp6vtk7Ps-d8IqUnFX5p,F8fM6s7Bx-8FcoYoUmuDmA)

- [Google Document](https://docs.google.com/document/d/1K4CPKvia2kNnlKm9MNFnxmQRqHM1KS_lJMJzueEnQVE/edit?usp=sharing)

- [Weekly Report](https://github.com/Beer-Bears/beer-bears/tree/master/content/docs/2025/beer-bears)

- [Weekly Role Distibution Table](https://docs.google.com/spreadsheets/d/1uc_GRhpqoXTGrU90zRO2Lp6TWDvCVzt__PE6KlVH9DU/edit?gid=0#gid=0)

## Confirmation of the code's operability

We confirm that the code in the main branch:
- [x] In working condition.
- [x] Run via docker-compose (or another alternative described in the `README.md`).
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---
title: "Week #2"
---
# Week #3 (Jun 19 - Jun 25)


## Implemented MVP features

### Code Analysis & Parsing
1. **Refactored Python Parser** ([#62](https://github.com/Beer-Bears/scaffold/issues/62))
Improved AST-based parser with enhanced code structure extraction
2. **High-Level Method Detection** ([#53](https://github.com/Beer-Bears/scaffold/issues/53))
Identifies and extracts key methods with their signatures and relationships
3. **AT Generator** ([#11](https://github.com/Beer-Bears/scaffold/issues/11))
Automated test generation framework from code structure
4. **Python Project Parser** ([#9](https://github.com/Beer-Bears/scaffold/issues/9))
Core parsing capability for Python codebases

### Knowledge Graph Infrastructure
5. **Graph Entity Definition** ([#10](https://github.com/Beer-Bears/scaffold/issues/10))
Schema for nodes, relationships, tags and metadata
6. **Database Configuration** ([#6](https://github.com/Beer-Bears/scaffold/issues/6))
Neo4j graph database setup with vector storage
7. **Classic Vector RAG Approach** ([#55](https://github.com/Beer-Bears/scaffold/issues/55))
Retrieval-Augmented Generation implementation

### User Interface
8. **Simple MCP Interface** ([#18](https://github.com/Beer-Bears/scaffold/issues/18))
Minimum Complete Product API for system interactions

### Testing & Validation
9. **Testgroup Projects** ([#33](https://github.com/Beer-Bears/scaffold/issues/33), [#65](https://github.com/Beer-Bears/scaffold/issues/65))
Validation environment with sample Python codebases
10. **Essential Integration Tests** ([#32](https://github.com/Beer-Bears/scaffold/issues/32))
Core functionality validation framework
11. **CodeQL Scanning** ([#43](https://github.com/Beer-Bears/scaffold/issues/43))
Security and quality analysis integration

### Development Infrastructure
12. **Pre-commit Formatters** ([#46](https://github.com/Beer-Bears/scaffold/issues/46))
Automated code standardization
13. **Conventional PR Checker** ([#38](https://github.com/Beer-Bears/scaffold/issues/38))
Commit message and workflow enforcement
14. **Dependabot Setup** ([#42](https://github.com/Beer-Bears/scaffold/issues/42))
Dependency update management
15. **Poetry Dependency Management** ([#7](https://github.com/Beer-Bears/scaffold/issues/7))
Python package and environment control

### Project Management
16. **Planning Board Setup** ([#27](https://github.com/Beer-Bears/scaffold/issues/27))
Task tracking and workflow management
17. **Project Structure Definition** ([#23](https://github.com/Beer-Bears/scaffold/issues/23))
Organized repository architecture
18. **Role Definitions** ([#31](https://github.com/Beer-Bears/scaffold/issues/31))
Contribution tracking framework
19. **Development Rules** ([#24](https://github.com/Beer-Bears/scaffold/issues/24))
Team workflow standards

### Documentation & Research
20. **Project Documentation** ([#3](https://github.com/Beer-Bears/scaffold/issues/3), [#22](https://github.com/Beer-Bears/scaffold/issues/22), [#30](https://github.com/Beer-Bears/scaffold/issues/30))
README, architecture specs, and internal docs
21. **QA Pipeline Research** ([#12](https://github.com/Beer-Bears/scaffold/issues/12))
Quality assurance strategy foundation
22. **Codebase Search Research** ([#13](https://github.com/Beer-Bears/scaffold/issues/13))
Efficiency optimization for large repositories
23. **Weekly Reports** ([#21](https://github.com/Beer-Bears/scaffold/issues/21), [#25](https://github.com/Beer-Bears/scaffold/issues/25), [#67](https://github.com/Beer-Bears/scaffold/issues/67))

## Demonstration of the working MVP

- [Google doc with Screenshots](https://docs.google.com/document/d/196VQI1ILK83AfmGCaVqqCMW51-Z-YcYbWhjRe5qetiA/edit?usp=sharing)


## Usefull Links

- [Course Repository](https://github.com/IU-Capstone-Project-2025/scaffold)
- [Main Repository](https://github.com/Beer-Bears/scaffold)

- [Excalidraw Board](https://excalidraw.com/#json=DNp6vtk7Ps-d8IqUnFX5p,F8fM6s7Bx-8FcoYoUmuDmA)

- [Google Document](https://docs.google.com/document/d/1K4CPKvia2kNnlKm9MNFnxmQRqHM1KS_lJMJzueEnQVE/edit?usp=sharing)

- [Weekly Report](https://github.com/Beer-Bears/beer-bears/tree/master/content/docs/2025/beer-bears)

- [Weekly Role Distibution Table](https://docs.google.com/spreadsheets/d/1uc_GRhpqoXTGrU90zRO2Lp6TWDvCVzt__PE6KlVH9DU/edit?gid=0#gid=0)

- [Scaffold Planning Board](https://github.com/orgs/Beer-Bears/projects/1)


## Individual contribution of each participant

### Software Development
- Classic Vector RAG Approach - In Progress (peplxx)
- Simple MCP interface - Done (mashfeii)
- Refactor Python Parser - Done (Trunn5)
- Pre-commit code formatters - Done (Trunn5)
- High-level individual methods detection - Done (Trunn5)

### Research
- Research: Efficiency information search in codebases - In Progress (4hellboy4)

### Testing & Infrastructure
- Essential Integration Tests - In Progress (onemoreslacker)
- Add projects to testgroup - Done (onemoreslacker)
- CodeQL code scanning - Done (peplxx)

### Management & Reporting
- Week 3 Report - Done (peplxx)

## Plan for Next Week

1. **Implement full MCP server** with needed LLM integration
2. **Integrate MCP server** with Python parser and Neo4j database
3. **Research signal interface** for Database refreshing mechanism
4. **Develop autotesting setup** for parser and AT generator components
5. **Implement testing pipeline** for context fetching evaluation metrics
6. **Establish QA framework** for graph accuracy validation


## Confirmation of the code's operability

We confirm that the code in the main branch:
- [x] In working condition.
- [x] Run via docker-compose (or another alternative described in the `README.md`).
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title: "Week #4"
---

# **Week #4**

## Testing and QA

*Summary of testing strategy and types of tests implemented.*
Our team developed, and research project's QA aspects from first capstone week so, we have multiple testing scenarious, because our project is consist of complex components, which really need QA testing.
In our project we have:
- Graph generation testing
- Basic Unit testing
- Vector RAG testing
- Docker Compose Configuration testing
- Linting and styling checks

### Evidence of test execution
- [Tests CI Results](https://github.com/Beer-Bears/scaffold/actions/workflows/tests.yml?query=branch%3Amain)
- [Style CI Results](https://github.com/Beer-Bears/scaffold/actions/workflows/pre-commit.yaml?query=branch%3Amain)
- [Security CodeQL Scanning Results](https://github.com/Beer-Bears/scaffold/actions/workflows/codeql.yml?query=branch%3Amain)
- [Docker Compose CI Results](https://github.com/Beer-Bears/scaffold/actions/workflows/compose-check.yaml?query=branch%3Amain)

## CI/CD

### Security Code QL Scanning
[Workflow](https://github.com/Beer-Bears/scaffold/blob/main/.github/workflows/codeql.yml)

Automated Security Scanner for repository find vulnerabilities in code logic.

### Docker Compose Check
[Workflow](https://github.com/Beer-Bears/scaffold/blob/main/.github/workflows/compose-check.yaml)

Checks if docker compose can prorerly configure, build and run using default configuration.

### Pre-commit style check
[Workflow](https://github.com/Beer-Bears/scaffold/blob/main/.github/workflows/pre-commit.yaml)

Check code styling and linting uses pre-commit configuration.

### Pull request aproval celebration
[Workflow](https://github.com/Beer-Bears/scaffold/blob/main/.github/workflows/pull-request-approved.yaml)
When pull request is approved by person sends cute bear picture into comments to congradulate with approval and readiness for merge.

### Conventional PR title checker
[Workflow](https://github.com/Beer-Bears/scaffold/blob/main/.github/workflows/pull-request-conventional-title.yaml)
Checks pr title with conventional rules, because that we use squashing [ruleset](https://github.com/Beer-Bears/scaffold/settings/rules/5972646) into main (protected) branch.

### Testing CI (Graph generation & Unit Testing)
[Workflow](https://github.com/Beer-Bears/scaffold/blob/main/.github/workflows/pull-request-conventional-title.yaml)
Checks pr title with conventional rules, because that we use squashing [ruleset](https://github.com/Beer-Bears/scaffold/settings/rules/5972646) into main (protected) branch.

## Deployment

As deployment we do not need any deployment now, but in near future we will create docker image building and publishing into register.

## Vibe Check
<img title="Team vibe picture" alt="Team vibe picture" src="https://i.pinimg.com/736x/51/e7/5e/51e75e2b5cbe03cbdc5abf1b0f097765.jpg">
<img title="Team vibe picture" alt="Team vibe picture" src="https://i.pinimg.com/736x/92/63/c2/9263c2aa91a1440a7a62557e80898b48.jpg">
<img title="Team vibe picture" alt="Team vibe picture" src="https://i.pinimg.com/736x/71/e4/f1/71e4f17c3ee3d02e46c8da1132479437.jpg">

> Now we are feeling exited by project, we are currently adding more and more complex features into project, but feeling a bit tired and overwhelmed with a lot of tasks and deals we need to implement in near future.

# Weekly commitments

## Individual contribution of each participant

#### Trunn5
- **Add Pytest**
Add pytest framework for testing infrastructure
- **Parse Async Functions**
Added support for asynchronous function parsing
- **[Generator] Connect Files to Folders nodes**
Implemented file-to-folder mapping in generator component

#### onemoreslacker
- **Essential Integration Tests**
Developed core integration tests for critical paths
- **CI: Graph Generation Auto Testing**
Set up automated graph testing in CI pipeline

#### peplxx
- **Classical Vector RAG approach**
Introduce Vector RAG approach in project

#### 4hellboy4
- **Research: Efficiency information search in codebases**
Investigating optimization techniques for code search

### mashfeii
- **Week 4 Report**
Compiling weekly progress metrics and findings

## Confirmation of the code's operability

We confirm that the code in the main branch:
- [x] In working condition.
- [x] Run via docker-compose (or another alternative described in the `README.md`).