Exhibition Report Generator

F 48 completed
Other
unknown / python · tiny
12
Files
4,067
LOC
0
Frameworks
4
Languages

Pipeline State

completed
Run ID
#395210
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
23.34
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47299
Member of a group with 1 similar repo(s) — canonical #94036 view group →
Top concepts (2)
Project DescriptionWeb Backend
All rows above produced by Repobility · https://repobility.com

AI Prompt

Create a Python application using Streamlit that functions as an exhibition report generator. The tool needs a multi-step web form (7 steps) where users can input detailed exhibition information, covering basic info, theme, structure, budget/audience, PR, evaluation, and report generation. Key features must include automatically generating charts (like pie charts for audience composition and bar charts for monthly visitors) based on input data, and finally, generating a professional Word (.docx) report that adheres to a specific structure (6 sections). The system should also allow users to save and load the input data as JSON.
python streamlit docx report-generation data-visualization web-app exhibition streamlit-app
Generated by gemma4:latest

Catalog Information

웹 폼에 전시 정보를 입력하면 Word(.docx) 보고서를 자동으로 생성하는 도구입니다.

Description

웹 폼에 전시 정보를 입력하면 Word(.docx) 보고서를 자동으로 생성하는 도구입니다.

Novelty

3/10

Tags

python streamlit docx report-generation data-visualization web-app exhibition streamlit-app

Technologies

streamlit

Claude Models

claude-opus-4-6

Quality Score

F
47.7/100
Structure
40
Code Quality
45
Documentation
62
Testing
0
Practices
61
Security
100
Dependencies
60

Strengths

  • Consistent naming conventions (snake_case)
  • Good security practices \u2014 no major issues detected

Weaknesses

  • No LICENSE file \u2014 legal ambiguity for contributors
  • No tests found \u2014 high risk of regressions
  • No CI/CD configuration \u2014 manual testing and deployment
  • 1 files with critical complexity need refactoring
  • 344 duplicate lines detected \u2014 consider DRY refactoring
  • 3 'god files' with >500 LOC need decomposition

Recommendations

  • Add a test suite \u2014 start with critical path integration tests
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)

Security & Health

5.8h
Tech Debt (C)
A
OWASP (100%)
FAIL
Quality Gate
A
Risk (15)
Repobility · code-quality intelligence · https://repobility.com
Unknown
License
1.4%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
94.0%
markdown
5.6%
text
0.2%
toml
0.2%

Frameworks

None detected

Concepts (2)

Powered by Repobility · code-quality intelligence
CategoryNameDescriptionConfidence
Repobility (the analyzer behind this table) · https://repobility.com
auto_descriptionProject Description웹 폼에 전시 정보를 입력하면 Word(.docx) 보고서를 자동으로 생성하는 도구입니다.80%
auto_categoryWeb Backendweb-backend70%

Quality Timeline

1 quality score recorded.

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