[![No Maintenance Intended](http://unmaintained.tech/badge.svg)](http://unmaintained.tech/) Jeopardy parser =============== Quick note: this project does **not** use semantic versioning (`python parser.py --version` outputs the last updated date of the script). What is this? ------------- This is a Python script to extract [Jeopardy!] clues from the [J! Archive] website and dump them into a SQLite database for use elsewhere (no particular application is intended). Python 2.7.* and SQLite 3.7.* on *nix have been tested and confirmed to work (requires BeautifulSoup 4 and the lxml parser). [Jeopardy!]:http://www.jeopardy.com/ [J! Archive]:http://j-archive.com/ Quick start ----------- ```bash git clone git://github.com/whymarrh/jeopardy-parser.git cd jeopardy-parser pip install -r requirements.txt python download.py python parser.py ``` How long will all this take? ---------------------------- There are two important steps: 1. Downloading the game files from the J! Archive website 2. Parsing and inserting them into the database The first step, downloading, will depend on the machine: the download script will use twice the number of available cores to download game files in parallel and will take around an hour to complete. The second step, parsing, should take ~30 minutes (on a 1.7 GHz Core i5 w/ 4 GB RAM). In total, you're looking at around 2 hours (probably less). The complete download of the game files is ~350MB, and the resulting database file is ~50MB (although these numbers are qucikly outdated as the number of games increases). Querying the database --------------------- The database is split into 5 tables: | Table name | What it holds | | ----------------- | ------------------------------------------------------ | | `airdates` | Airdates for the shows, indexed by game number | | `documents` | Mappings from clue IDs to clue text and answers | | `categories` | The categories | | `clues` | Clue IDs with metadata (game number, round, and value) | | `classifications` | Mappings from clue IDs to category IDs | To get all the clues along with their metadata: ```sql SELECT clues.id, game, round, value, clue, answer FROM clues JOIN documents ON clues.id = documents.id -- WHERE ; ``` To get the category that a clue is in, given a clue id: ```sql SELECT clue_id, category FROM classifications JOIN categories ON category_id = categories.id -- WHERE ; ``` To get everything (although it is better to pick and choose what you're looking for): ```sql SELECT clues.id, clues.game, airdate, round, value, category, clue, answer FROM clues JOIN airdates ON clues.game = airdates.game JOIN documents ON clues.id = documents.id JOIN classifications ON clues.id = classifications.clue_id JOIN categories ON classifications.category_id = categories.id -- WHERE ; ``` License ------- This software is released under the MIT License. See the [LICENSE.md](LICENSE.md) file for more information.