Adds commands for crypto withdrawal fees (#1028)

* docs: added missing api docs to readme

* feat: added withdrawal fees commands

* fix: linting

* fix: merged wfc and wfcstats commands

* fix: changes top default to 10, fixes coin name and menu

* feat: added auto completion and minor fixes

* feat: no need for -c flag in wfpe command
This commit is contained in:
jose-donato
2021-12-08 23:34:40 +00:00
committed by GitHub
parent 0be4c8a2d7
commit 92ff4f9638
10 changed files with 648 additions and 42 deletions

85
README.md vendored
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@@ -6,6 +6,7 @@
*** for contributors-url, forks-url, etc. This is an optional, concise syntax you may use.
*** https://www.markdownguide.org/basic-syntax/#reference-style-links
-->
[![Stargazers][stars-shield]][stars-url]
[![Forks][forks-shield]][forks-url]
[![Contributors][contributors-shield]][contributors-url]
@@ -95,11 +96,11 @@ As a modern Python-based environment, GamestonkTerminal opens access to numerous
## Getting Started
### Docker Installation - *new and improved*
### Docker Installation - _new and improved_
1. First step is to make sure docker desktop is installed. Install links can be found [here](https://www.docker.com/products/docker-desktop).
To confirm that your docker desktop is downloaded and running, open a command prompt or terminal and enter
`docker info`. If you get the following you are not running the docker desktop:
1. First step is to make sure docker desktop is installed. Install links can be found [here](https://www.docker.com/products/docker-desktop).
To confirm that your docker desktop is downloaded and running, open a command prompt or terminal and enter
`docker info`. If you get the following you are not running the docker desktop:
```text
Server:
@@ -116,11 +117,11 @@ As a modern Python-based environment, GamestonkTerminal opens access to numerous
```
Upon running this the first time, you should see the various layers downloading (note the random series of letters
numbers will vary). The first time this is run, it will take a few minutes. Subsequent updates will be much faster,
numbers will vary). The first time this is run, it will take a few minutes. Subsequent updates will be much faster,
as the changes will be in the MB instead of GB.
![Screen Shot 2021-09-08 at 10 41 08 AM](https://user-images.githubusercontent.com/18151143/132531075-7d7f7e71-4fcb-435c-9bb3-466d7077eba4.png)
Once the download is complete, confirm that the image has been created by doing `docker images`. You should see
Once the download is complete, confirm that the image has been created by doing `docker images`. You should see
something similar to
```text
@@ -132,9 +133,9 @@ As a modern Python-based environment, GamestonkTerminal opens access to numerous
You are now ready to run the terminal.
```docker run -it --rm ghcr.io/gamestonkterminal/gst-poetry:latest```
`docker run -it --rm ghcr.io/gamestonkterminal/gst-poetry:latest`
This will open up the terminal in your command prompt or terminal. Note that this has provided now environment file,
This will open up the terminal in your command prompt or terminal. Note that this has provided now environment file,
so you will not be able to view plots or use keys at this stage.
To read more on adding the environment keys and how to configure your X-server to show plots, hop over to the
@@ -147,7 +148,7 @@ If you'd like to see a video recording of the installation process, @JohnnyDanks
This project supports Python 3.7, 3.8 and 3.9.
Our current recommendation is to use this project with Anaconda's Python distribution - either full
[__Anaconda3 Latest__](https://repo.anaconda.com/archive/) or [__Miniconda3 Latest__](https://repo.anaconda.com/archive/).
[**Anaconda3 Latest**](https://repo.anaconda.com/archive/) or [**Miniconda3 Latest**](https://repo.anaconda.com/archive/).
Several features in this project utilize Machine Learning. Machine Learning Python dependencies are optional.
If you decided to add Machine Learning features at a later point, you will likely have better user experience with
Anaconda's Python distribution.
@@ -166,12 +167,12 @@ Anaconda's Python distribution.
```bash
conda install -c anaconda git
````
```
3. Clone the Project
- Via HTTPS: `git clone https://github.com/GamestonkTerminal/GamestonkTerminal.git`
- via SSH: `git clone git@github.com:GamestonkTerminal/GamestonkTerminal.git`
- via SSH: `git clone git@github.com:GamestonkTerminal/GamestonkTerminal.git`
4. Navigate into the project's folder
@@ -187,7 +188,7 @@ Anaconda's Python distribution.
```bash
conda env create -n gst --file build/conda/conda-3-8-env.yaml
````
```
6. Activate the virtual environment
@@ -230,7 +231,7 @@ Anaconda's Python distribution.
**NOTE:** When you close the terminal and re-open it, the only command you need to re-call is `conda activate gst`
before you call `python terminal.py` again.
**TROUBLESHOOT:** If you are having troubles to install, check our *newest*
**TROUBLESHOOT:** If you are having troubles to install, check our _newest_
<a href="https://github.com/GamestonkTerminal/GamestonkTerminal/blob/master/TROUBLESHOOT.md"><strong>troubleshoot page</strong></a>
### Advanced User Install - Machine Learning
@@ -245,7 +246,7 @@ the purpose of this project, however, these may be older versions. Hence, it is
a virtual python environment prior to installing these. This allows to keep dependencies required by different projects
in separate places.
*If you would like to use optional Machine Learning features:*
_If you would like to use optional Machine Learning features:_
- Update your [feature_flags.py](/gamestonk_terminal/feature_flags.py) with:
@@ -276,7 +277,7 @@ If this fails due to the fact that you had modified some python files, and there
git stash
```
Then, re-run `poetry install` or `pip install -r requirements.txt` to get any new dependencies.
Then, re-run `poetry install` or `pip install -r requirements.txt` to get any new dependencies.
Once installation is finished, you're ready to gamestonk.
@@ -311,32 +312,36 @@ These are the ones where a key is necessary:
- Whale Alert API: <https://docs.whale-alert.io/>
- Ethplorer API: <https://github.com/EverexIO/Ethplorer/wiki/Ethplorer-API>
- Cryptopanic API: <https://cryptopanic.com/developers/api/>
- Glassnode API: <https://docs.glassnode.com/basic-api/api-key#how-to-get-an-api-key>
- Coinglass API: <https://coinglass.github.io/API-Reference/#api-key>
When these are obtained, don't forget to update [config_terminal.py](/gamestonk_terminal/config_terminal.py).
Alternatively, you can also set them to the following environment variables:
| Website | Variables |
| :--- | :--- |
| [Alpha Vantage](https://www.alphavantage.co) | GT_API_KEY_ALPHAVANTAGE |
| [Binance](https://binance.com) | GT_API_BINANCE_KEY <br/> GT_API_BINANCE_SECRET |
| [CoinMarketCap](https://coinmarketcap.com) | GT_CMC_API_KEY <br/> GT_CMC_API_KEY |
| [DEGIRO](https://www.degiro.fr) | GT_DG_USERNAME <br/> GT_DG_PASSWORD <br/> GT_DG_TOTP_SECRET |
| [FRED](https://fred.stlouisfed.org) | GT_API_FRED_KEY |
| [Financial Modeling Prep](https://financialmodelingprep.com) | GT_API_KEY_FINANCIALMODELINGPREP |
| [Finhub](https://finnhub.io) | GT_API_FINNHUB_KEY |
| [News](https://newsapi.org) | GT_API_NEWS_TOKEN |
| [Oanda](https://developer.oanda.com) | GT_OANDA_TOKEN <br/> GT_OANDA_ACCOUNT |
| [Polygon](https://polygon.io) | GT_API_POLYGON_KEY |
| [Quandl](https://www.quandl.com) | GT_API_KEY_QUANDL |
| [Reddit](https://www.reddit.com) | GT_API_REDDIT_CLIENT_ID <br> GT_API_REDDIT_CLIENT_SECRET <br/> GT_API_REDDIT_USERNAME <br/> GT_API_REDDIT_USER_AGENT <br/> GT_API_REDDIT_PASSWORD|
| [SentimentInvestor](https://sentimentinvestor.com) | GT_API_SENTIMENTINVESTOR_TOKEN <br> GT_API_SENTIMENTINVESTOR_KEY |
| [Tradier](https://developer.tradier.com) | GT_TRADIER_TOKEN |
| [Twitter](https://developer.twitter.com) | GT_API_TWITTER_KEY <br/> GT_API_TWITTER_SECRET_KEY <br/> GT_API_TWITTER_BEARER_TOKEN |
| [Coinbase](https://docs.pro.coinbase.com/) | GT_API_COINBASE_KEY <br/> GT_API_COINBASE_SECRET <br/> GT_API_COINBASE_PASS_PHRASE |
| [Whale Alert](https://docs.whale-alert.io/) | GT_API_WHALE_ALERT_KEY |
| [Ethplorer](https://github.com/EverexIO/Ethplorer/wiki/Ethplorer-API) | GT_API_ETHPLORER_KEY |
| [Cryptopanic](https://cryptopanic.com/developers/api/) | GT_API_CRYPTO_PANIC_KEY |
| Website | Variables |
| :------------------------------------------------------------------------------ | :------------------------------------------------------------------------------------------------------------------------------------------------ |
| [Alpha Vantage](https://www.alphavantage.co) | GT_API_KEY_ALPHAVANTAGE |
| [Binance](https://binance.com) | GT_API_BINANCE_KEY <br/> GT_API_BINANCE_SECRET |
| [CoinMarketCap](https://coinmarketcap.com) | GT_CMC_API_KEY <br/> GT_CMC_API_KEY |
| [DEGIRO](https://www.degiro.fr) | GT_DG_USERNAME <br/> GT_DG_PASSWORD <br/> GT_DG_TOTP_SECRET |
| [FRED](https://fred.stlouisfed.org) | GT_API_FRED_KEY |
| [Financial Modeling Prep](https://financialmodelingprep.com) | GT_API_KEY_FINANCIALMODELINGPREP |
| [Finhub](https://finnhub.io) | GT_API_FINNHUB_KEY |
| [News](https://newsapi.org) | GT_API_NEWS_TOKEN |
| [Oanda](https://developer.oanda.com) | GT_OANDA_TOKEN <br/> GT_OANDA_ACCOUNT |
| [Polygon](https://polygon.io) | GT_API_POLYGON_KEY |
| [Quandl](https://www.quandl.com) | GT_API_KEY_QUANDL |
| [Reddit](https://www.reddit.com) | GT_API_REDDIT_CLIENT_ID <br> GT_API_REDDIT_CLIENT_SECRET <br/> GT_API_REDDIT_USERNAME <br/> GT_API_REDDIT_USER_AGENT <br/> GT_API_REDDIT_PASSWORD |
| [SentimentInvestor](https://sentimentinvestor.com) | GT_API_SENTIMENTINVESTOR_TOKEN <br> GT_API_SENTIMENTINVESTOR_KEY |
| [Tradier](https://developer.tradier.com) | GT_TRADIER_TOKEN |
| [Twitter](https://developer.twitter.com) | GT_API_TWITTER_KEY <br/> GT_API_TWITTER_SECRET_KEY <br/> GT_API_TWITTER_BEARER_TOKEN |
| [Coinbase](https://docs.pro.coinbase.com/) | GT_API_COINBASE_KEY <br/> GT_API_COINBASE_SECRET <br/> GT_API_COINBASE_PASS_PHRASE |
| [Whale Alert](https://docs.whale-alert.io/) | GT_API_WHALE_ALERT_KEY |
| [Ethplorer](https://github.com/EverexIO/Ethplorer/wiki/Ethplorer-API) | GT_API_ETHPLORER_KEY |
| [Cryptopanic](https://cryptopanic.com/developers/api/) | GT_API_CRYPTO_PANIC_KEY |
| [Glassnode](https://docs.glassnode.com/basic-api/api-key#how-to-get-an-api-key) | GT_API_GLASSNODE_KEY |
| [Coinglass](https://coinglass.github.io/API-Reference/#api-key) | GT_API_COINGLASS_KEY |
Example:
@@ -356,7 +361,7 @@ Note that it is not necessary to have a valid Alpha Vantage key to get daily OHL
### Usage
Start by selecting a context that you would like to work with. If you want to research stocks, you would start with
Start by selecting a context that you would like to work with. If you want to research stocks, you would start with
```bash
stocks
@@ -418,10 +423,11 @@ Example:
<img src='/images/usage.gif' width="1000">
To return to the stocks menu to perform more research in a different menu, just use the `q` command. From the stocks
To return to the stocks menu to perform more research in a different menu, just use the `q` command. From the stocks
menu, using `q` again will return you to the main menu where you can enter a different context (crypto for example).
<!-- CONTRIBUTING -->
## Contributing
There are 3 main ways of contributing to this project.
@@ -436,7 +442,7 @@ go up.
1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Install the pre-commit hooks by running:
```pre-commit install```.
`pre-commit install`.
Any time you commit a change, linters will be run automatically. On changes, you will have to re-commit.
4. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
5. Push to your Branch (`git push origin feature/AmazingFeature`)
@@ -517,6 +523,7 @@ Feel free to share loss porn, memes or any questions at:
<!-- MARKDOWN LINKS & IMAGES -->
<!-- https://www.markdownguide.org/basic-syntax/#reference-style-links -->
[contributors-shield]: https://img.shields.io/github/contributors/GamestonkTerminal/GamestonkTerminal.svg?style=for-the-badge
[contributors-url]: https://github.com/GamestonkTerminal/GamestonkTerminal/graphs/contributors
[forks-shield]: https://img.shields.io/github/forks/GamestonkTerminal/GamestonkTerminal.svg?style=for-the-badge

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@@ -1,3 +1,4 @@
"""ETH Gas Station model"""
import pandas as pd
import requests

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@@ -1,3 +1,4 @@
"""ETH Gas Station view"""
import os
from tabulate import tabulate

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@@ -3,6 +3,8 @@ __docformat__ = "numpy"
# pylint: disable=R0904, C0302, W0622
import argparse
import difflib
from typing import List
from prompt_toolkit.completion import NestedCompleter
from gamestonk_terminal import feature_flags as gtff
from gamestonk_terminal.helper_funcs import (
@@ -18,6 +20,8 @@ from gamestonk_terminal.cryptocurrency.overview import (
pycoingecko_view,
coinpaprika_view,
cryptopanic_view,
withdrawalfees_model,
withdrawalfees_view,
)
from gamestonk_terminal.cryptocurrency.overview.coinpaprika_view import CURRENCIES
from gamestonk_terminal.cryptocurrency.overview.coinpaprika_model import (
@@ -58,6 +62,9 @@ class Controller:
"cpcontracts",
"cbpairs",
"news",
"wf",
"ewf",
"wfpe",
]
def __init__(self):
@@ -103,6 +110,10 @@ Coinbase:
cbpairs info about available trading pairs on Coinbase
CryptoPanic:
news recent crypto news from CryptoPanic aggregator
WithdrawalFees:
wf overall withdrawal fees
ewf overall exchange withdrawal fees
wfpe crypto withdrawal fees per exchange
"""
print(help_text)
@@ -153,6 +164,149 @@ CryptoPanic:
"""Process Quit command - quit the program."""
return True
@try_except
def call_wf(self, other_args: List[str]):
"""Process wf command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="wf",
description="""
Display top coins withdrawal fees
[Source: https://withdrawalfees.com/]
""",
)
parser.add_argument(
"-l",
"--limit",
type=int,
help="Limit number of coins to display withdrawal fees. Default 10",
dest="limit",
default=10,
)
parser.add_argument(
"--export",
choices=["csv", "json", "xlsx"],
default="",
type=str,
dest="export",
help="Export dataframe data to csv,json,xlsx file",
)
ns_parser = parse_known_args_and_warn(parser, other_args)
if not ns_parser:
return
withdrawalfees_view.display_overall_withdrawal_fees(
export=ns_parser.export, top=ns_parser.limit
)
@try_except
def call_ewf(self, other_args: List[str]):
"""Process ewf command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="ewf",
description="""
Display exchange withdrawal fees
[Source: https://withdrawalfees.com/]
""",
)
parser.add_argument(
"--export",
choices=["csv", "json", "xlsx"],
default="",
type=str,
dest="export",
help="Export dataframe data to csv,json,xlsx file",
)
ns_parser = parse_known_args_and_warn(parser, other_args)
if not ns_parser:
return
withdrawalfees_view.display_overall_exchange_withdrawal_fees(
export=ns_parser.export
)
@try_except
def call_wfpe(self, other_args: List[str]):
"""Process wfpe command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="wfpe",
description="""
Coin withdrawal fees per exchange
[Source: https://withdrawalfees.com/]
""",
)
parser.add_argument(
"-c",
"--coin",
default="bitcoin",
type=str,
dest="coin",
help="Coin to check withdrawal fees in long format (e.g., bitcoin, ethereum)",
)
parser.add_argument(
"--export",
choices=["csv", "json", "xlsx"],
default="",
type=str,
dest="export",
help="Export dataframe data to csv,json,xlsx file",
)
if other_args:
if "-" not in other_args[0]:
other_args.insert(0, "-c")
ns_parser = parse_known_args_and_warn(parser, other_args)
if not ns_parser:
return
if ns_parser.coin:
if ns_parser.coin in withdrawalfees_model.POSSIBLE_CRYPTOS:
withdrawalfees_view.display_crypto_withdrawal_fees(
export=ns_parser.export, symbol=ns_parser.coin
)
else:
print(f"Coin '{ns_parser.coin}' does not exist.")
similar_cmd = difflib.get_close_matches(
ns_parser.coin,
withdrawalfees_model.POSSIBLE_CRYPTOS,
n=1,
cutoff=0.75,
)
if similar_cmd:
print(f"Replacing by '{similar_cmd[0]}'")
withdrawalfees_view.display_crypto_withdrawal_fees(
export=ns_parser.export, symbol=similar_cmd[0]
)
else:
similar_cmd = difflib.get_close_matches(
ns_parser.coin,
withdrawalfees_model.POSSIBLE_CRYPTOS,
n=1,
cutoff=0.5,
)
if similar_cmd:
print(f"Did you mean '{similar_cmd[0]}'?")
else:
for coin in withdrawalfees_model.POSSIBLE_CRYPTOS:
print(coin)
@try_except
def call_cghold(self, other_args):
"""Process hold command"""
@@ -1652,9 +1806,17 @@ def menu():
while True:
# Get input command from user
if session and gtff.USE_PROMPT_TOOLKIT:
completer = NestedCompleter.from_nested_dict(
{c: None for c in overview_controller.CHOICES}
)
choices: dict = {c: {} for c in overview_controller.CHOICES}
choices["wfpe"] = {c: None for c in withdrawalfees_model.POSSIBLE_CRYPTOS}
choices["wfpe"]["-c"] = {
c: None for c in withdrawalfees_model.POSSIBLE_CRYPTOS
}
choices["wfpe"]["--coin"] = {
c: None for c in withdrawalfees_model.POSSIBLE_CRYPTOS
}
completer = NestedCompleter.from_nested_dict(choices)
an_input = session.prompt(
f"{get_flair()} (crypto)>(ov)> ",
completer=completer,

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@@ -0,0 +1,253 @@
"""Withdrawal Fees model"""
from typing import Any, List
import math
import requests
from bs4 import BeautifulSoup
import pandas as pd
from gamestonk_terminal.helper_funcs import get_user_agent
POSSIBLE_CRYPTOS = [
"bitcoin",
"ethereum",
"binance-coin",
"tether",
"solana",
"cardano",
"usd-coin",
"xrp",
"polkadot",
"terra",
"dogecoin",
"avalanche",
"shiba-inu",
"polygon",
"crypto-com-coin",
"binance-usd",
"wrapped-bitcoin",
"litecoin",
"algorand",
"chainlink",
"tron",
"dai",
"bitcoin-cash",
"terrausd",
"uniswap",
"stellar",
"axie-infinity",
"okb",
"cosmos",
"lido-staked-ether",
"vechain",
"ftx-token",
"elrond",
"internet-computer",
"filecoin",
"decentraland",
"ethereum-classic",
"hedera",
"the-sandbox",
"theta-network",
"fantom",
"near",
"magic-internet-money",
"gala",
"bittorrent",
"monero",
"tezos",
"klaytn",
"the-graph",
"leo-token",
"iota",
"helium",
"flow",
"eos",
"radix",
"loopring",
"bitcoin-sv",
"pancakeswap",
"olympus",
"enjin-coin",
"kusama",
"amp",
"aave",
"stacks",
"ecash",
"maker",
"arweave",
"quant",
"thorchain",
"harmony",
"zcash",
"neo",
"bitcoin-cash-abc",
"basic-attention-token",
"waves",
"kadena",
"theta-fuel",
"holo",
"chiliz",
"kucoin-token",
"celsius-network",
"curve-dao-token",
"dash",
"marinade-staked-sol",
"nexo",
"compound",
"celo",
"huobi-token",
"wonderland",
"frax",
"decred",
"trueusd",
"ecomi",
"e-radix",
"spell-token",
"mina-protocol",
"nem",
"qtum",
"sushi",
"synthetix-network-token",
]
def get_overall_withdrawal_fees(top: int = 100) -> pd.DataFrame:
"""Scrapes top coins withdrawal fees
[Source: https://withdrawalfees.com/]
Parameters
----------
top: int
Number of coins to search, by default n=100, one page has 100 coins, so 1 page is scraped.
Returns
-------
pandas.DataFrame:
Coin, Lowest, Average, Median, Highest, Exchanges Compared
"""
COINS_PER_PAGE = 100
withdrawal_fees_homepage = BeautifulSoup(
requests.get(
"https://withdrawalfees.com/",
headers={"User-Agent": get_user_agent()},
).text,
"lxml",
)
table = withdrawal_fees_homepage.find_all("table")
tickers_html = withdrawal_fees_homepage.find_all("div", {"class": "name"})
if table is None or tickers_html is None:
return pd.DataFrame()
df = pd.read_html(str(table))[0]
df["Coin"] = [ticker.text for ticker in tickers_html]
df["Highest"] = df["Highest"].apply(
lambda x: f'{x[:x.index(".")+3]} ({x[x.index(".")+3:]})'
if "." in x and isinstance(x, str)
else x
)
num_pages = int(math.ceil(top / COINS_PER_PAGE))
if num_pages > 1:
for idx in range(2, num_pages + 1):
withdrawal_fees_homepage = BeautifulSoup(
requests.get(
f"https://withdrawalfees.com/coins/page/{idx}",
headers={"User-Agent": get_user_agent()},
).text,
"lxml",
)
table = withdrawal_fees_homepage.find_all("table")
tickers_html = withdrawal_fees_homepage.find_all("div", {"class": "name"})
if table is not None and tickers_html is not None:
new_df = pd.read_html(str(table))[0]
new_df["Highest"] = new_df["Highest"].apply(
lambda x: f'{x[:x.index(".")+3]} ({x[x.index(".")+3:]})'
if "." in x
else x
)
new_df["Coin"] = [ticker.text for ticker in tickers_html]
df = df.append(new_df)
df = df.fillna("")
return df
def get_overall_exchange_withdrawal_fees() -> pd.DataFrame:
"""Scrapes exchange withdrawal fees
[Source: https://withdrawalfees.com/]
Parameters
----------
Returns
-------
pandas.DataFrame:
Exchange, Coins, Lowest, Average, Median, Highest
"""
exchange_withdrawal_fees = BeautifulSoup(
requests.get(
"https://withdrawalfees.com/exchanges",
headers={"User-Agent": get_user_agent()},
).text,
"lxml",
)
table = exchange_withdrawal_fees.find_all("table")
if table is None:
return pd.DataFrame()
df = pd.read_html(str(table))[0]
df = df.fillna("")
return df
def get_crypto_withdrawal_fees(
symbol: str,
) -> List[Any]:
"""Scrapes coin withdrawal fees per exchange
[Source: https://withdrawalfees.com/]
Parameters
----------
symbol: str
Coin to check withdrawal fees. By default bitcoin
Returns
-------
List:
- str: Overall statistics (exchanges, lowest, average and median)
- pandas.DataFrame: Exchange, Withdrawal Fee, Minimum Withdrawal Amount
"""
crypto_withdrawal_fees = BeautifulSoup(
requests.get(
f"https://withdrawalfees.com/coins/{symbol}",
headers={"User-Agent": get_user_agent()},
).text,
"lxml",
)
if crypto_withdrawal_fees is None:
return ["", pd.DataFrame()]
table = crypto_withdrawal_fees.find_all("table")
html_stats = crypto_withdrawal_fees.find("div", {"class": "details"})
if len(table) == 0 or html_stats is None:
return ["", pd.DataFrame()]
df = pd.read_html(str(table))[0]
df["Withdrawal Fee"] = df["Withdrawal Fee"].apply(
lambda x: f'{x[:x.index(".")+3]} ({x[x.index(".")+3:]})'
if "." in x and isinstance(x, str)
else x
)
df["Minimum Withdrawal Amount"] = df["Minimum Withdrawal Amount"].apply(
lambda x: f'{x[:x.index(".")+3]} ({x[x.index(".")+3:]})'
if isinstance(x, str) and "." in x
else x
)
df = df.fillna("")
stats = html_stats.find_all("div", recursive=False)
exchanges = stats[0].find("div", {"class": "value"}).text
lowest = stats[1].find("div", {"class": "value"}).text
average = stats[2].find("div", {"class": "value"}).text
median = stats[3].find("div", {"class": "value"}).text
stats_string = (
f"{symbol} is available on {exchanges} exchanges with alowest fee of "
)
stats_string += f"{lowest}, average of {average} and median of {median}"
return [stats_string, df]

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@@ -0,0 +1,135 @@
"""Withdrawal Fees view"""
import os
from tabulate import tabulate
from gamestonk_terminal.cryptocurrency.overview.withdrawalfees_model import (
get_crypto_withdrawal_fees,
get_overall_exchange_withdrawal_fees,
get_overall_withdrawal_fees,
)
from gamestonk_terminal.helper_funcs import export_data
from gamestonk_terminal import feature_flags as gtff
def display_overall_withdrawal_fees(export: str, top: int) -> None:
"""Top coins withdrawal fees
[Source: https://withdrawalfees.com/]
Parameters
----------
export : str
Export dataframe data to csv,json,xlsx file
top: int
Number of coins to search
"""
df_fees = get_overall_withdrawal_fees(top)
if df_fees.empty:
print("\nError in withdrawal fees request\n")
else:
print("\nWithdrawal fees on exchanges:")
if gtff.USE_TABULATE_DF:
print(
tabulate(
df_fees.head(top),
headers=df_fees.columns,
floatfmt=".1f",
showindex=False,
tablefmt="fancy_grid",
),
"\n",
)
else:
print(df_fees.to_string(index=False), "\n")
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"withdrawal_fees",
df_fees,
)
def display_overall_exchange_withdrawal_fees(export: str) -> None:
"""Exchange withdrawal fees
[Source: https://withdrawalfees.com/]
Parameters
----------
export : str
Export dataframe data to csv,json,xlsx file
"""
df_fees = get_overall_exchange_withdrawal_fees()
if df_fees.empty:
print("\nError in withdrawal fees request\n")
else:
print("\nWithdrawal fees per exchange:")
if gtff.USE_TABULATE_DF:
print(
tabulate(
df_fees,
headers=df_fees.columns,
floatfmt=".1f",
showindex=False,
tablefmt="fancy_grid",
),
"\n",
)
else:
print(df_fees.to_string(index=False), "\n")
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"exchange_withdrawal_fees",
df_fees,
)
def display_crypto_withdrawal_fees(export: str, symbol: str) -> None:
"""Coin withdrawal fees per exchange
[Source: https://withdrawalfees.com/]
Parameters
----------
export : str
Export dataframe data to csv,json,xlsx file
symbol: str
Coin to check withdrawal fees
"""
res = get_crypto_withdrawal_fees(symbol)
stats_string = res[0]
df_fees = res[1]
if df_fees.empty:
print("\nError in withdrawal fees request\n")
else:
print(f"\nWithdrawal fees for {symbol}:")
print(f"\n{stats_string}\n")
if gtff.USE_TABULATE_DF:
print(
tabulate(
df_fees,
headers=df_fees.columns,
floatfmt=".1f",
showindex=False,
tablefmt="fancy_grid",
),
"\n",
)
else:
print(df_fees.to_string(index=False), "\n")
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"crypto_withdrawal_fees",
df_fees,
)

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@@ -0,0 +1,13 @@
```
usage: ewf [-t TOP]
[--export {png,jpg,pdf,svg}]
```
Display exchange withdrawal fees
[Source: https://withdrawalfees.com/]
```
optional arguments:
--export {png,jpg,pdf,svg}
Export or figure into png, jpg, pdf, svg (default: )
```

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@@ -0,0 +1,14 @@
```
usage: wf [-l LIMIT]
[--export {png,jpg,pdf,svg}]
```
Display withdrawal fees of cryptocurrencies ordered by market cap
[Source: https://withdrawalfees.com/]
```
optional arguments:
-l N, --limit N show N number of coins (default: 10)
--export {png,jpg,pdf,svg}
Export or figure into png, jpg, pdf, svg (default: )
```

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@@ -0,0 +1,14 @@
```
usage: wfpe [-c COIN]
[--export {png,jpg,pdf,svg}]
```
Display coin withdrawal fees per exchange
[Source: https://withdrawalfees.com/]
```
optional arguments:
-c COIN, --coin COIN cryptocurrency to check withdrawal fees in long format (default: bitcoin)
--export {png,jpg,pdf,svg}
Export or figure into png, jpg, pdf, svg (default: )
```

View File

@@ -704,6 +704,12 @@ main:
ref: "/cryptocurrency/overview/cbpairs"
- name: news
ref: "/cryptocurrency/overview/news"
- name: wf
ref: "/cryptocurrency/overview/wf"
- name: ewf
ref: "/cryptocurrency/overview/ewf"
- name: wfpe
ref: "/cryptocurrency/overview/wfpe"
- name: due diligence
ref: "/cryptocurrency/due_diligence"
sub: