Reservation Bot
F 48 completedPipeline State
completedPipeline Metadata
AI Prompt
Catalog Information
The myriaambp__reservation-bot is a restaurant reservation chatbot that allows users to search for restaurants, find available time slots, watch for cancellations, and book reservations through natural language via a web chat interface, WhatsApp, or the command line.
Description
This project is a reservation bot powered by the Resy API and Google Gemini AI. It provides a natural language chat interface for searching restaurants, checking availability, and booking tables. The bot also watches for cancellations and alerts users when preferred time slots open up. Additionally, it offers three interfaces: web UI (WebSocket), WhatsApp (Twilio webhook), and CLI.
الوصف
هذا المشروع هو بوت حجز مأكولات يقوم بتحليل البيانات من API Resy و Google Gemini AI. يتيح للزوار البحث عن المطاعم، التحقق من توفر مواعيد، والحجز عبر لغة طبيعية عبر واجهة ويب، WhatsApp، أو سطر الأوامر.
Novelty
7/10Tags
Technologies
Claude Models
Quality Score
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
- Potential hardcoded secrets in 1 files
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)
- Move hardcoded secrets to environment variables or a secrets manager
Security & Health
Languages
Frameworks
Concepts (2)
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| auto_description | Project Description | A restaurant reservation chatbot powered by the Resy API and Google Gemini AI. Search for restaurants, find available time slots, watch for cancellations, and book reservations — all through natural language via a web chat interface, WhatsApp, or the command line. | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Web Backend | web-backend | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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