def display_overview(export: str):
"""Market overview. [Source: Wall St. Journal]
Parameters
----------
export : str
Export dataframe data to csv,json,xlsx file
"""
df_data = wsj_model.market_overview()
if df_data.empty:
print("No overview data available\n")
return
if gtff.USE_TABULATE_DF:
print(
tabulate(
df_data,
showindex=False,
headers=df_data.columns,
floatfmt=".2f",
tablefmt="fancy_grid",
)
)
else:
print(df_data.to_string(index=False))
print("")
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"overview",
df_data,
)
def display_overview(export: str):
"""Market overview. [Source: Wall St. Journal]
Parameters
----------
export : str
Export dataframe data to csv,json,xlsx file
"""
df_data = wsj_model.market_overview()
if df_data.empty:
console.print("No overview data available\n")
return
print_rich_table(
df_data,
show_index=False,
headers=list(df_data.columns),
title="Market Overview",
)
console.print("")
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"overview",
df_data,
)
def overview_command():
"""Market data overview [Wall St. Journal]"""
# Debug user input
if cfg.DEBUG:
logger.debug("econ-overview")
# Retrieve data
df = wsj_model.market_overview()
# Check for argument
if df.empty:
raise Exception("No available data found")
df["Price"] = pd.to_numeric(df["Price"].astype(float))
df["Chg"] = pd.to_numeric(df["Chg"].astype(float))
df["%Chg"] = pd.to_numeric(df["%Chg"].astype(float))
formats = {"Price": "${:.2f}", "Chg": "${:.2f}", "%Chg": "{:.2f}%"}
for col, v in formats.items():
df[col] = df[col].map(lambda x: v.format(x)) # pylint: disable=W0640
df = df[[
" ",
"Price",
"Chg",
"%Chg",
]]
df = df.fillna("")
df.set_index(" ", inplace=True)
dindex = len(df.index)
fig = df2img.plot_dataframe(
df,
fig_size=(800, (40 + (40 * dindex))),
col_width=[8, 3, 3],
tbl_cells=dict(
align="left",
height=35,
),
template="plotly_dark",
font=dict(
family="Consolas",
size=20,
),
paper_bgcolor="rgba(0, 0, 0, 0)",
)
imagefile = save_image("econ-indices.png", fig)
return {
"title": "Economy: [WSJ] Market Overview",
"imagefile": imagefile,
}
async def overview_command(ctx):
"""Market data overview [Wall St. Journal]"""
try:
# Debug user input
if cfg.DEBUG:
logger.debug("!economy.overview")
# Retrieve data
df_data = wsj_model.market_overview()
# Debug user output
if cfg.DEBUG:
logger.debug(df_data.to_string())
# Output data
if df_data.empty:
df_data_str = "No overview data available"
else:
df_data_str = "```" + df_data.to_string(index=False) + "```"
embed = discord.Embed(
title="Economy: [WSJ] Market Overview",
description=df_data_str,
colour=cfg.COLOR,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed)
except Exception as e:
embed = discord.Embed(
title="ERROR Economy: [WSJ] Market Overview",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed)
async def overview_command(ctx):
"""Market data overview [Wall St. Journal]"""
try:
# Debug user input
if cfg.DEBUG:
logger.debug("econ-overview")
# Retrieve data
df = wsj_model.market_overview()
# Check for argument
if df.empty:
raise Exception("No available data found")
df["Price"] = pd.to_numeric(df["Price"].astype(float))
df["Chg"] = pd.to_numeric(df["Chg"].astype(float))
df["%Chg"] = pd.to_numeric(df["%Chg"].astype(float))
formats = {"Price": "${:.2f}", "Chg": "${:.2f}", "%Chg": "{:.2f}%"}
for col, v in formats.items():
df[col] = df[col].map(lambda x: v.format(x)) # pylint: disable=W0640
df = df[[
"Price",
"Chg",
"%Chg",
]]
df = df.fillna("")
df.set_index(" ", inplace=True)
dindex = len(df.index)
fig = df2img.plot_dataframe(
df,
fig_size=(800, (40 + (40 * dindex))),
col_width=[8, 3, 3],
tbl_cells=dict(
align="left",
height=35,
),
template="plotly_dark",
font=dict(
family="Consolas",
size=20,
),
paper_bgcolor="rgba(0, 0, 0, 0)",
)
imagefile = "econ-indices.png"
df2img.save_dataframe(fig=fig, filename=imagefile)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
image = disnake.File(imagefile)
title = "Economy: [WSJ] Market Overview"
embed = disnake.Embed(title=title, colour=cfg.COLOR)
embed.set_image(url=f"attachment://{imagefile}")
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
os.remove(imagefile)
await ctx.send(embed=embed, file=image)
except Exception as e:
embed = disnake.Embed(
title="ERROR Economy: [WSJ] Market Overview",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
def overview_command():
"""Market data overview [Wall St. Journal]"""
# Debug user input
if imps.DEBUG:
logger.debug("econ-overview")
# Retrieve data
df = wsj_model.market_overview()
# Check for argument
if df.empty:
raise Exception("No available data found")
df["Last Price"] = pd.to_numeric(df["Price"].astype(float))
df["Change"] = pd.to_numeric(df["Chg"].astype(float))
df["%Chg"] = pd.to_numeric(df["%Chg"].astype(float))
# Debug user output
if imps.DEBUG:
logger.debug(df.to_string())
formats = {
"Last Price": "${:.2f}",
"Change": "${:.2f}",
"%Chg": "<b>{:.2f}%</b>",
}
for col, value in formats.items():
df[col] = df[col].map(lambda x: value.format(x)) # pylint: disable=W0640
df["Change"] = df.apply(lambda x: f"{x['Change']} (<b>{x['%Chg']}</b>)",
axis=1)
df = df.fillna("")
df.set_index(" ", inplace=True)
font_color = ["white"] * 2 + [[
"#e4003a" if boolv else "#00ACFF"
for boolv in df["Change"].str.contains("-")
]]
df = df.drop(columns=["Price", "Chg", "%Chg"])
fig = imps.plot_df(
df,
fig_size=(620, (40 + (40 * len(df.index)))),
col_width=[4, 2.4, 3],
tbl_header=imps.PLT_TBL_HEADER,
tbl_cells=imps.PLT_TBL_CELLS,
font=imps.PLT_TBL_FONT,
row_fill_color=imps.PLT_TBL_ROW_COLORS,
paper_bgcolor="rgba(0, 0, 0, 0)",
)
fig.update_traces(cells=(dict(
align=["center", "right"],
font=dict(color=font_color),
)))
imagefile = imps.save_image("econ-overview.png", fig)
return {
"title": "Economy: [WSJ] Market Overview",
"imagefile": imagefile,
}
async def overview_command(ctx, arg=""):
"""Gets the market overview data from GST and sends it
Parameters
-----------
arg: str
-h or help
Returns
-------
discord message
Sends a message containing an embed of market overview data to the user
"""
try:
# Debug
if cfg.DEBUG:
print(f"!stocks.economy.overview {arg}")
# Help
if arg == "-h" or arg == "help":
help_txt = "Market Overview [Source: Wall St. Journal]\n"
embed = discord.Embed(
title="Economy: [WSJ] Market Overview HELP",
description=help_txt,
colour=cfg.COLOR,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
else:
df_data = wsj_model.market_overview()
if df_data.empty:
df_data_str = "No overview data available"
else:
df_data_str = "```" + df_data.to_string(index=False) + "```"
embed = discord.Embed(
title="Economy: [WSJ] Market Overview",
description=df_data_str,
colour=cfg.COLOR,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed)
except Exception as e:
title = "INTERNAL ERROR"
embed = discord.Embed(title=title, colour=cfg.COLOR)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
embed.set_description(
"Try updating the bot, make sure DEBUG is True in the config "
"and restart it.\nIf the error still occurs open a issue at: "
"https://github.com/GamestonkTerminal/GamestonkTerminal/issues"
f"\n{e}")
await ctx.send(embed=embed)
if cfg.DEBUG:
print(e)