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X Hiring

每日最新招聘信息,使用 Google AI 提取摘要

X Hiring

每日最新招聘信息,使用 Google AI 提取摘要

Author Avatar Theme by hehehai
Github Stars Github Stars: 451
Last Commit Last Commit: Jan 9, 2025 -
First Commit Created: Aug 27, 2024 -
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Overview:

The provided content appears to be in a mix of Chinese and English and discusses the installation and running of a project for fetching job data from various sources like V2EX, Electric Duck Community, and Ruanyifeng’s job listings. The project uses Monorepo, turbo, and pnpm for management and involves setting up different environments for the website, database, and job fetching services.

Features:

  • Multiple Data Sources: Supports job data sources like V2EX, Electric Duck Community, and Ruanyifeng job listings.
  • Monorepo Management: Uses Monorepo for project management.
  • Environment Setup: Requires setting up environments for website, database, and job fetching services.
  • Data Fetching Service: Includes a separate service for data fetching tasks.
  • Node 16 Support: Compatible with Node 16 for data fetching tasks.
  • RSS Service: Provides an RSS service for job listings.
  • Future Plans: Aims to introduce features like team listings, login support, job posting capabilities, and more.

Installation:

  1. Copy the .env.example file from apps/jobs and rename it to .env. Modify the content accordingly.
  2. Copy the .env.example file from apps/www and rename it to .env. Modify the content accordingly.
  3. Copy the .env.example file from packages/db and rename it to .env. Modify the content accordingly for Prisma migration.
  4. Open http://localhost:3000 to access the website.
  5. For Q&A regarding website and data fetching separation:
    • Data fetching is a long-running task with restrictions on runtime length.
    • Data is fetched daily with a minimum interval of hourly runs.
    • Gemini has regional restrictions and separate data fetching is more suitable for summary storage.

Summary:

This analysis explores a project that fetches job data from various sources using Monorepo management, supporting multiple data sources like V2EX and Ruanyifeng, and utilizing separate services for data fetching and analysis. The installation process involves setting up different environments and configuring them accordingly for running the project effectively. Future enhancements include features like a team directory, login support, job posting capabilities, and more.