def display_defi_protocols(top: int,
sortby: str,
descend: bool,
description: bool,
export: str = "") -> None:
"""Display 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
----------
top: int
Number of records to display
sortby: str
Key by which to sort data
descend: 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()
df_data = df.copy()
df = df.sort_values(by=sortby, ascending=descend)
df["tvl"] = df["tvl"].apply(lambda x: long_number_format(x))
if not description:
df.drop(["description", "url"], axis=1, inplace=True)
else:
df = df[[
"name",
"symbol",
"category",
"description",
"url",
]]
if gtff.USE_TABULATE_DF:
print(
tabulate(
df.head(top),
headers=df.columns,
floatfmt=".2f",
showindex=False,
tablefmt="fancy_grid",
),
"\n",
)
else:
print(df.to_string, "\n")
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"llama",
df_data,
)
def test_get_defi_protocols():
df = llama_model.get_defi_protocols()
# recorder not used
# somehow there are some whitespace diff between captured/recorded
assert isinstance(df, pd.DataFrame)
assert not df.empty
def display_grouped_defi_protocols(num: int = 50, export: str = "") -> None:
"""Display 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
"""
df = llama_model.get_defi_protocols()
fig, ax = plt.subplots(figsize=plot_autoscale(), dpi=PLOT_DPI)
df = df.sort_values("tvl", ascending=False).head(num)
df = df.set_index("name")
chains = df.groupby("chain").size().index.values.tolist()
for chain in chains:
chain_filter = df.loc[df.chain == chain]
ax.bar(x=chain_filter.index, height=chain_filter.tvl, label=chain)
ax.set_ylabel("Total Value Locked ($)")
ax.set_xlabel("dApp name")
ax.get_yaxis().set_major_formatter(
ticker.FuncFormatter(lambda x, _: long_number_format(x)))
fig.tight_layout(pad=8)
ax.legend(ncol=2)
ax.set_title(f"Top {num} dApp TVL grouped by chain")
ax.grid(alpha=0.5)
ax.tick_params(axis="x", labelrotation=90)
if gtff.USE_ION:
plt.ion()
plt.show()
print("")
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"gdapps",
df,
)
def test_get_defi_protocols(recorder):
df = llama_model.get_defi_protocols()
recorder.capture(df)
def display_defi_protocols(top: int,
sortby: str,
descend: bool,
description: bool,
export: str = "") -> None:
"""Display information about listed DeFi protocols, their current TVL and changes to it in the last hour/day/week.
[Source: https://docs.llama.fi/api]
Parameters
----------
top: int
Number of records to display
sortby: str
Key by which to sort data
descend: bool
Flag to sort data descending
description: bool
Flag to display description of protocol
export : str
Export dataframe data to csv,json,xlsx file
"""
df = llama_model.get_defi_protocols()
df_data = df.copy()
df = df.sort_values(by=sortby, ascending=descend)
df = df.drop(columns="chain")
df["tvl"] = df["tvl"].apply(lambda x: lambda_long_number_format(x))
if not description:
df.drop(["description", "url"], axis=1, inplace=True)
else:
df = df[[
"name",
"symbol",
"category",
"description",
"url",
]]
df.columns = [
lambda_replace_underscores_in_column_names(val) for val in df.columns
]
df.rename(
columns={
"Change 1H": "Change 1H (%)",
"Change 1D": "Change 1D (%)",
"Change 7D": "Change 7D (%)",
"Tvl": "TVL ($)",
},
inplace=True,
)
print_rich_table(df.head(top), headers=list(df.columns), show_index=False)
console.print("")
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"ldapps",
df_data,
)
def display_grouped_defi_protocols(
num: int = 50,
export: str = "",
external_axes: Optional[List[plt.Axes]] = None) -> None:
"""Display 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()
df = df.sort_values("tvl", ascending=False).head(num)
df = df.set_index("name")
chains = df.groupby("chain").size().index.values.tolist()
# This plot has 1 axis
if not external_axes:
_, ax = plt.subplots(figsize=(14, 8), dpi=PLOT_DPI)
else:
if len(external_axes) != 1:
console.print("[red]Expected list of one axis item./n[/red]")
return
(ax, ) = external_axes
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),
)
ax.set_ylabel("Total Value Locked ($)")
ax.set_xlabel("dApp name")
ax.get_yaxis().set_major_formatter(
ticker.FuncFormatter(lambda x, _: lambda_long_number_format(x)))
ax.set_title(f"Top {num} 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")
ax.legend(loc="best")
if not external_axes:
cfg.theme.visualize_output()
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"gdapps",
df,
)