Photoshoot Bot
D 54 completed
Bot
unknown / python · tiny
31
Files
3,837
LOC
0
Frameworks
5
Languages
Pipeline State
completedRun ID
#307582Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
42.11Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #47486
Member of a group with 1 similar repo(s) — canonical #85968 view group →
Top concepts (1)
Bot
Citation: Repobility (2026). State of AI-Generated Code. https://repobility.com/research/
🧪 Code Distillation
Browse all specs →AI Prompt
I want to build a chatbot using Python that helps users plan and organize photoshoots. The bot should be comprehensive enough to handle planning tasks, as suggested by the project structure. Please set up the basic framework, ensuring it can read configuration from a `.env` file and has deployment scripts available, like a `deploy.sh` script. It should be structured to manage project specifications and roadmaps, keeping the core logic within a `bot/` directory.
python chatbot photoshoot ai planning scripting automation
Generated by gemma4:latest
Catalog Information
This project is a chatbot designed to assist users in planning and organizing photoshoots.
Description
Kudinow Photoshoot Bot is a Python-based application that utilizes OpenAI's technology to provide a conversational interface for planning and organizing photoshoots. The bot can help users determine the best location, time of day, and equipment needed for their shoot. It also offers suggestions for poses, lighting, and composition.
الوصف
هذا المشروع هو بوت محادثة مصمم لتقديم مساعدة المستخدمين في تخطيط وتحديد موعد التصوير الفوتوغرافي. يعتمد البرنامج على تقنية OpenAI ويتضمن نظامًا محادثيًا يمكن أن يساعد المستخدمين في تحديد أفضل موقع، وأفضل وقت من اليوم، والأدوات اللازمة لتصويرهم.
Novelty
5/10Tags
photoshoot-planning chatbot conversational-interface event-organization photography
Technologies
openai pydantic
Claude Models
claude-opus-4.6 claude-sonnet-4.5 claude-opus-4.5
Quality Score
D
54.4/100
Structure
34
Code Quality
88
Documentation
23
Testing
0
Practices
82
Security
100
Dependencies
90
Strengths
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
Weaknesses
- Missing README file \u2014 critical for project understanding
- 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
- 147 duplicate lines detected \u2014 consider DRY refactoring
Recommendations
- Add a comprehensive README.md explaining purpose, setup, usage, and architecture
- 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
5.1h
Tech Debt (C)
Medium
DORA Rating
A
OWASP (100%)
Same scanner, your repo: https://repobility.com — Repobility
PASS
Quality Gate
A
Risk (3)
Unknown
License
3.0%
Duplication
Languages
Frameworks
None detected
Symbols
function53
variable31
constant22
class8
method8
Concepts (1)
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Repobility — the code-quality scanner for AI-generated software · https://repobility.com
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BinComp Dependency Hardening
All packages →3 of this repo's dependencies have been scanned for binary hardening. Grade reflects RELRO / stack canary / FORTIFY / PIE coverage.