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README.md

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# MTGDPC
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Magic the Gathering Deck Price Checker (for JPN Players).
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### About
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## About
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MTGDPC (`mtgdpc`) enables users to search the cheapest price of given card name via [Wisdom Guild](http://www.wisdom-guild.net).
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#### Requirements
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### Requirements
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- Python 3.6 (or above)
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- Beautiful Soup
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- lxml
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Simply, `pip install -r requirements.txt` to install above mentioned modules.
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### How to use
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## How to use
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#### 1. Prepare decklist
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### 1. Prepare decklist
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- `.txt` file of decklist must fit either Format (A) or (B).
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- `decklist/` directory contains some sample `.txt` files.
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##### Format (A) Basic Format
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#### Format (A) Basic Format
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Note that card name must be in English.
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```
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<# of cards> <card name>
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...
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```
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Also, other format will be automatically converted to this format.
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##### Format (B) M:TG Wiki Style
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#### Format (B) M:TG Wiki Style
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If you copy and paste from [M:TG Wiki](http://mtgwiki.com/wiki/%E3%83%A1%E3%82%A4%E3%83%B3%E3%83%9A%E3%83%BC%E3%82%B8), some will look like:
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```
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```
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In this case, `mtgdpc` will automatically convert it and replace it with Basic Format.
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#### 2. Execute `mtgdpc.py` with argument of prepared `.txt` file
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### 2. Execute `mtgdpc.py` with argument of prepared `.txt` file
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```
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$ python mtgdpc.py <.txt file>
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------------------------------ MAIN DECK ------------------------------
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total price (main + side): (A) + (B)
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```
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### Sample Decklist & Output
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## Sample Decklist & Output
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#### `decklist/MoMa.txt`
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### `decklist/MoMa.txt`
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```
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4 Tundra
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4 Volcanic Island
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4 Wasteland
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```
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##### Output
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#### Output
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```
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$ python mtgdpc.py decklist/MoMa.txt
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total price (main + side): 360240
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```
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#### `decklist/`[5-Color-Aggro](http://mtgwiki.com/wiki/%EF%BC%95%E8%89%B2%E3%83%87%E3%83%83%E3%82%AD)
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### `decklist/`[5-Color-Aggro](http://mtgwiki.com/wiki/%EF%BC%95%E8%89%B2%E3%83%87%E3%83%83%E3%82%AD)
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```
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5-Color-Aggro [2]
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土地 (24)
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2 クァーサルの群れ魔道士/Qasali Pridemage
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2 領土を滅ぼすもの/Realm Razer
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```
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##### Output
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#### Output
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```
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$ python mtgdpc.py decklist/5-Color-Aggro.txt
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total price (main + side): 31607
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```
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### Future Enhancements
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## Future Enhancements
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- Introduce:
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- `Pandas` to manage it with `DataFrames`.

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