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--- title: Rentea 第 0 次小聚 tags: Rentea --- # Rentea 第 0 次小聚 Rentea 的首次小聚來啦~這次小聚以專案開發為主題,無論你是設計師、工程師,或是對專案有興趣,是否已經跳坑,都歡迎來參加! - 時間:2019-08-21 (三) 19:00 - 21:00 - ddio 18:30 就會先到,想要先來吃吃喝喝聊聊天也沒問題 - 活動 19:00 正式開始,會晚到或早走都歡迎 - 地點:由你咖啡 Union Kaffe - 地址:台北市松山區八德路四段245巷52弄29號 - 交通:捷運南京三民站 2 號出口,[步行三分鐘](https://goo.gl/maps/hGEU1MbRgmUt7wXJ8) - 低消:一杯飲料,[菜單請見官方臉書](https://www.facebook.com/pg/unionkaffe/photos/?tab=album&album_id=2217593481858013) - 專案資訊: - [Hackfoldr](https://beta.hackfoldr.org/rentea) / [Slack](https://g0v-tw.slack.com/messages/CJTBP7YRK/details/) - [Figma Wireframe](https://www.figma.com/file/Z0Wsc63DYpXLouSC7vvpw5aR/rental?node-id=0%3A1) - [程式開發指南](https://g0v.hackmd.io/jg_TRTEbRxyV-osQptSqwQ) / [爬蟲設計](https://g0v.hackmd.io/Bv_1JeHoT1O8gIjFBEJROg?view#%E8%A8%8E%E8%AB%96%E7%B4%80%E9%8C%84%E3%80%81%E7%B5%90%E8%AB%96%E3%80%81%E5%BE%85%E4%BD%9C) / [資料庫設計](https://g0v.hackmd.io/BFd56MJAQqu242x_oqYP2w) ## 參加者打卡區 想要參加的人請先在這裡打卡,方便確定人數,也記得寫一下想來作什麼,可以是開發東西、學程式、幫忙紀錄,或是任何想做的事情都可以~ - ddio - Rentea 專業打雜 - 想把爬蟲和資料庫弄到會動 + 想收集有趣的小聚地點! - York - Rentea 專業推坑人 - pTau - Rentea 專業~~被推坑~~ - Yukai - 花式開坑~~棄坑~~ - chriske - 確認需求、瞭解具體資料欄位與資料結構、詢問資料重複等等相關問題 - Steven - 協助開發爬蟲與資料庫 - Moojing - 協助前端開發 - Brody PM 幫忙弄UI UX(臨時可以來,可坐地上) - Chloe - 了解目前設計的狀況 ### 任務認領 1. [x] 現場小記 @chloe && @Mooji 2. [x] Rentea Monthly @york - 2019-08 - 範例:https://g0v.hackmd.io/KM6GyMh8SgCdUTjoFxWFXw :::info <i class="fa fa-home fa-lg fa-fw"></i> [回到 Hackfoldr](https://beta.hackfoldr.org/rentea/https%253A%252F%252Fhackmd.io%252Fs%252FSJbOIFHpE) ::: ### Rentea Weekly - 徵求 Rentea Weekly 八月小幫手,整理每個人每個月在 Project 裡面做的事情。 - York認領,ddio需要開權限 - 目前的[爬蟲 Server 版本](https://github.com/rentea-tw/rentea-crawler)是版主之前專案用的爬蟲,用來抓全 591 網站的資料,想跳坑的人可以加入 Github org. - docker base - 目前有一些[issues](https://github.com/rentea-tw/rentea-crawler/issues)待解: - Verify crawler performance and find best - 決定爬蟲的頻率(多久爬一次) - Enable Sentry i crawler - 檢查591是新的防爬蟲並驗證目前的爬蟲是否依然有效 - Create unit test for periodic591 spider - 爬蟲的Unit test - 需要知道有哪些資料筆數的狀態有改變 (Update Detection),但應該可以拿之前開放台灣租屋資料的專案來Merge 。 (https://github.com/g0v/tw-rental-house-data) - 說明目前schema - ![](https://g0vhackmd.blob.core.windows.net/g0v-hackmd-images/upload_76a119891ea1c9a115aa4e64706fb508) - DB建議支援GIS(用於搜尋地圖) - DB與爬蟲中間需要介面 - Raw House 和 Unique House 塞的時候要怎麼處裡 - 社會住宅包租代管 - 固定欄位 - microservice - [Sentry 坑](https://github.com/rentea-tw/rentea-crawler/issues/3):順便知道 Scrapy 怎麽寫

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