This project queries database logs and generates user logs as per defined criteria.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
Python - Tested on ver. 3.5.2
Download and Install:
Download and unzip the configuration package VM Config prepared by Udacity. Inside the vagrant subdirectory, along with other starter project, clone this repository. On terminal, at the same subdirectory, run vagrant up, then vagrant ssh.
Download and unzip the data here to the vagrant subdirectory. Run psql -d news -f newsdata.sql. This will connect and setup the database server.
This project require the following database views to be created before running the script:
CREATE VIEW top_paths (views, path, slug) AS SELECT count(path), path, substring(path from 10) AS slug FROM log WHERE
method = 'GET' AND status = '200 OK' GROUP BY path HAVING path LIKE '/article/%' ORDER BY count(path) DESC;
CREATE VIEW articles_views (article, author_id, views) AS SELECT articles.title, articles.author, top_paths.views FROM articles JOIN top_paths ON articles.slug = top_paths.slug;
CREATE VIEW day_errors (date, error, no_error, error_percent) AS SELECT sub.day, error, good, (error/((error + good)/1.0)*100) AS rate FROM (SELECT DATE_TRUNC('day', time) AS day, count(status) AS error FROM log WHERE status = '404 NOT FOUND' GROUP BY day) sub JOIN ( SELECT DATE_TRUNC('day', time) AS day, count(status) AS good FROM log WHERE status = '200 OK' GROUP BY day) sub2 ON sub.day = sub2.day;
On terminal, run:
python report.py
Please fork this forked repo, and make a PR.
SQL file ignored in this repo
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