Files
OpenBB/openbb_terminal/cryptocurrency/defi/llama_view.py
teh_coderer 59d8b36bb0 [IMPROVE] Fix Docstring formatting/Fix missing, incomplete type hints (#3412)
* Fixes

* Update stocks_helper.py

* update git-actions set-output to new format

* Update stocks_helper.py

* Update terminal_helper.py

* removed LineAnnotateDrawer from qa_view

* lint

* few changes

* updates

* sdk auto gen modules done

* Update stocks_helper.py

* updates to changed imports, and remove first sdk_modules

* Update generate_sdk.py

* Update generate_sdk.py

* pylint

* revert stocks_helper

* Update generate_sdk.py

* Update sdk.py

* Update generate_sdk.py

* full auto generation, added sdk.py/controllers creation

* missed enable forecasting

* added running black in subprocess after sdk files generation completes

* removed deleted sdk_arg_logger

* comment out tests

* property doc fix

* clean up

* Update generate_sdk.py

* make trailmap classes useable for doc generation

* Update generate_sdk.py

* added lineon to trailmap class for linking to func in markdown

* changed lineon to dict

* added full_path to trailmap for linking in docs

* updated portfolio

* feat: initial files

* feat: added meta head

* feat: added funcdef

* added func_def to trailmap attributes for markdown in docs, added missing type hints to covid functions

* feat: added view and merged with jaun

* Update generate_sdk.py

* Update generate_sdk.py

* Update generate_sdk.py

* Update generate_sdk.py

* init

* fix returns

* fix: random stuff

* fix: random

* fixed encoding issue on windows

* fix: generate tabs

* update

* Update generate_sdk_markdown.py

* Create .pydocstyle.ini

* added type hint classes for views

* fixes

* alt, ba

* alt-economy

* Update finviz_compare_model.py

* fixs

* Update substack_model.py

* Update generate_sdk.py

* last of my section

* porfolio

* po

* Update optimizer_model.py

* fixing more things

* few more

* keys done

* update

* fixes

* Update generate_sdk_markdown.py

* Update generate_sdk_markdown.py

* mypy forecast fix

* Update generate_sdk_markdown.py

* Update generate_sdk_markdown.py

* Update generate_sdk_markdown.py

* fixes

* forecast fixes

* one more fix

* Update coinbase_model.py

* Update generate_sdk_markdown.py

Co-authored-by: Colin Delahunty <72827203+colin99d@users.noreply.github.com>
Co-authored-by: James Maslek <jmaslek11@gmail.com>
Co-authored-by: jose-donato <zmcdonato@gmail.com>
Co-authored-by: andrewkenreich <andrew.kenreich@gmail.com>
2022-11-15 16:37:49 -05:00

237 lines
6.6 KiB
Python

"""Llama View"""
__docformat__ = "numpy"
import logging
import os
from typing import List, Optional
import matplotlib.pyplot as plt
from matplotlib import ticker
from openbb_terminal import config_terminal as cfg
from openbb_terminal.config_plot import PLOT_DPI
from openbb_terminal.cryptocurrency.cryptocurrency_helpers import read_data_file
from openbb_terminal.cryptocurrency.defi import llama_model
from openbb_terminal.decorators import log_start_end
from openbb_terminal.helper_funcs import (
export_data,
lambda_long_number_format,
plot_autoscale,
print_rich_table,
is_valid_axes_count,
)
logger = logging.getLogger(__name__)
@log_start_end(log=logger)
def display_grouped_defi_protocols(
limit: int = 50, export: str = "", external_axes: Optional[List[plt.Axes]] = None
) -> None:
"""Plots top dApps (in terms of TVL) grouped by chain.
[Source: https://docs.llama.fi/api]
Parameters
----------
num: int
Number of top dApps to display
export : str
Export dataframe data to csv,json,xlsx file
external_axes : Optional[List[plt.Axes]], optional
External axes (1 axis is expected in the list), by default None
"""
df = llama_model.get_defi_protocols(limit, drop_chain=False)
chains = llama_model.get_grouped_defi_protocols(limit)
# This plot has 1 axis
if not external_axes:
_, ax = plt.subplots(figsize=(14, 8), dpi=PLOT_DPI)
elif is_valid_axes_count(external_axes, 1):
(ax,) = external_axes
else:
return
colors = iter(cfg.theme.get_colors(reverse=True))
for chain in chains:
chain_filter = df.loc[df.Chain == chain]
ax.barh(
y=chain_filter.index,
width=chain_filter["TVL ($)"],
label=chain,
height=0.5,
color=next(colors, "#B6A9CB"),
)
ax.set_xlabel("Total Value Locked ($)")
ax.set_ylabel("Decentralized Application Name")
ax.get_xaxis().set_major_formatter(
ticker.FuncFormatter(lambda x, _: lambda_long_number_format(x))
)
ax.set_title(f"Top {limit} dApp TVL grouped by chain")
cfg.theme.style_primary_axis(ax)
ax.tick_params(axis="y", labelsize=8)
ax.yaxis.set_label_position("left")
ax.yaxis.set_ticks_position("left")
handles, labels = ax.get_legend_handles_labels()
ax.legend(handles[::-1], labels[::-1], loc="best")
if not external_axes:
cfg.theme.visualize_output()
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"gdapps",
chains,
)
@log_start_end(log=logger)
def display_defi_protocols(
sortby: str,
limit: int = 20,
ascend: bool = False,
description: bool = False,
export: str = "",
) -> None:
"""Prints table showing information about listed DeFi protocols, their current TVL and changes to it in
the last hour/day/week. [Source: https://docs.llama.fi/api]
Parameters
----------
limit: int
Number of records to display
sortby: str
Key by which to sort data
ascend: bool
Flag to sort data descending
description: bool
Flag to display description of protocol
export : str
Export dataframe data to csv,json,xlsx file
"""
df = llama_model.get_defi_protocols(limit, sortby, ascend, description)
print_rich_table(df.head(limit), headers=list(df.columns), show_index=False)
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"ldapps",
df,
)
@log_start_end(log=logger)
def display_historical_tvl(
dapps: str = "",
export: str = "",
external_axes: Optional[List[plt.Axes]] = None,
):
"""Plots historical TVL of different dApps
[Source: https://docs.llama.fi/api]
Parameters
----------
dapps: str
dApps to search historical TVL. Should be split by , e.g.: anchor,sushiswap,pancakeswap
export : str
Export dataframe data to csv,json,xlsx file
external_axes : Optional[List[plt.Axes]], optional
External axes (1 axis is expected in the list), by default None
"""
# This plot has 1 axis
if not external_axes:
_, ax = plt.subplots(figsize=plot_autoscale(), dpi=PLOT_DPI)
elif is_valid_axes_count(external_axes, 1):
(ax,) = external_axes
else:
return
available_protocols = read_data_file("defillama_dapps.json")
if isinstance(available_protocols, dict):
for dapp in dapps.split(","):
if dapp in available_protocols.keys():
df = llama_model.get_defi_protocol(dapp)
if not df.empty:
ax.plot(df, label=available_protocols[dapp])
else:
print(f"{dapp} not found\n")
ax.set_ylabel("Total Value Locked ($)")
ax.get_yaxis().set_major_formatter(
ticker.FuncFormatter(lambda x, _: lambda_long_number_format(x))
)
cfg.theme.style_primary_axis(ax)
ax.legend()
ax.set_title("TVL in dApps")
if not external_axes:
cfg.theme.visualize_output()
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"dtvl",
None,
)
@log_start_end(log=logger)
def display_defi_tvl(
limit: int = 5,
export: str = "",
external_axes: Optional[List[plt.Axes]] = None,
) -> None:
"""Plots historical values of the total sum of TVLs from all listed protocols.
[Source: https://docs.llama.fi/api]
Parameters
----------
limit: int
Number of records to display, by default 5
export : str
Export dataframe data to csv,json,xlsx file
external_axes : Optional[List[plt.Axes]], optional
External axes (1 axis is expected in the list), by default None
"""
# This plot has 1 axis
if not external_axes:
_, ax = plt.subplots(figsize=plot_autoscale(), dpi=PLOT_DPI)
elif is_valid_axes_count(external_axes, 1):
(ax,) = external_axes
else:
return
df = llama_model.get_defi_tvl()
df_data = df.copy()
df = df.tail(limit)
ax.plot(df["date"], df["totalLiquidityUSD"], ms=2)
# ax.set_xlim(df["date"].iloc[0], df["date"].iloc[-1])
ax.set_ylabel("Total Value Locked ($)")
ax.set_title("Total Value Locked in DeFi")
ax.get_yaxis().set_major_formatter(
ticker.FuncFormatter(lambda x, _: lambda_long_number_format(x))
)
cfg.theme.style_primary_axis(ax)
if not external_axes:
cfg.theme.visualize_output()
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"stvl",
df_data,
)