Groupme Bot (#1418)

* Added groupme helpers

* Began handling of user input

* Expanded commands, improved bot

* Completed dictionary

* Eliminated redundancies

* Added more

* Added debuggers for server

* Fixed bugs

* Improved input handling and image sending

* Fixed dd-est

* Fixed dd commands

* Added dps fix

* Fixed feargreed

* Fixed econ commands

* Fixed gov commands

* Fixed ta

* Added docstrings

* Added docstrings

* black

Co-authored-by: didierlopes.eth <dro.lopes@campus.fct.unl.pt>
This commit is contained in:
Colin Delahunty
2022-03-04 13:31:21 -05:00
committed by GitHub
parent cb0de1ecf2
commit b8b3b49896
16 changed files with 1087 additions and 185 deletions

View File

@@ -12,15 +12,7 @@ from bots.stocks.dark_pool_shorts.psi import psi_command
from bots.stocks.dark_pool_shorts.shorted import shorted_command
from bots.stocks.dark_pool_shorts.sidtc import sidtc_command
from bots.stocks.dark_pool_shorts.spos import spos_command
pos_choices = {
"Short Vol (1M)": "sv",
"Short Vol %": "sv_pct",
"Net Short Vol (1M)": "nsv",
"Net Short Vol ($100M)": "nsv_dollar",
"DP Position (1M)": "dpp",
"DP Position ($1B)": "dpp_dollar",
}
from bots.common import commands_dict
class DarkPoolShortsCommands(commands.Cog):
@@ -57,7 +49,7 @@ class DarkPoolShortsCommands(commands.Cog):
async def pos(
self,
inter: disnake.AppCmdInter,
sort: str = commands.Param(choices=pos_choices),
sort: str = commands.Param(choices=commands_dict.dps_pos_choices),
num: int = 10,
):
"""Dark pool short position [Stockgrid]

View File

@@ -16,34 +16,7 @@ from bots.economy.softs import softs_command
from bots.economy.usbonds import usbonds_command
from bots.economy.valuation import valuation_command
from bots.helpers import ShowView
group = [
"basic_materials",
"capitalization",
"communication_services",
"consumer_cyclical",
"consumer_defensive",
"country",
"energy",
"financial",
"healthcare",
"industry",
"industrials",
"real_estate",
"sector",
"technology",
"utilities",
]
fgind = {
"Junk Bond Demand": "jbd",
"Market Volatility": "mv",
"Put and Call Options": "pco",
"Market Momentum": "mm",
"Stock Price Strength": "sps",
"Stock Price Breadth": "spb",
"Safe Heaven Demand": "shd",
}
from bots.common import commands_dict
class EconomyCommands(commands.Cog):
@@ -116,7 +89,7 @@ class EconomyCommands(commands.Cog):
async def valuation(
self,
inter: disnake.AppCmdInter,
economy_group: str = commands.Param(choices=group),
economy_group: str = commands.Param(choices=commands_dict.econ_group),
):
"""Valuation of sectors, industry, country [Finviz]
@@ -132,7 +105,7 @@ class EconomyCommands(commands.Cog):
async def performance(
self,
inter: disnake.AppCmdInter,
economy_group: str = commands.Param(choices=group),
economy_group: str = commands.Param(choices=commands_dict.econ_group),
):
"""Performance of sectors, industry, country [Finviz]

View File

@@ -17,12 +17,7 @@ from bots.stocks.options.unu import unu_command
from bots.stocks.options.vol import vol_command
from bots.stocks.options.vsurf import vsurf_command
from bots.stocks.quote import quote_command
vsurf_choices = {
"Volatility": "IV",
"Open Interest": "OI",
"Last Price": "LP",
}
from bots.common import commands_dict
class SlashCommands(commands.Cog):
@@ -268,7 +263,7 @@ class SlashCommands(commands.Cog):
self,
inter: disnake.AppCmdInter,
ticker: str = commands.Param(autocomplete=ticker_autocomp),
z: str = commands.Param(choices=vsurf_choices),
z: str = commands.Param(choices=commands_dict.options_vsurf_choices),
):
"""Display Volatility Surface

View File

@@ -13,108 +13,8 @@ from bots.stocks.screener.presets_custom import presets_custom_command
from bots.stocks.screener.presets_default import presets_default_command
from bots.stocks.screener.technical import technical_command
from bots.stocks.screener.valuation import valuation_command
from bots.common import commands_dict
sort = {
"overview": [
"Ticker",
"Company",
"Sector",
"Industry",
"Country",
"Market Cap",
"P/E",
"Price",
"Change",
"Volume",
],
"valuation": [
"Ticker",
"Market Cap",
"P/E",
"Fwd P/E",
"PEG",
"P/S",
"P/B",
"P/C",
"P/FCF",
"EPS this Y",
"EPS next Y",
"EPS past 5Y",
"EPS next 5Y",
"Sales past 5Y",
"Price",
"Change",
"Volume",
],
"financial": [
"Ticker",
"Market Cap",
"Dividend",
"ROA",
"ROE",
"ROI",
"Curr R",
"Quick R",
"LTDebt/Eq",
"Debt/Eq",
"Gross M",
"Oper M",
"Profit M",
"Earnings",
"Price",
"Change",
"Volume",
],
"ownership": [
"Ticker",
"Market Cap",
"Outstanding",
"Float",
"Insider Own",
"Insider Trans",
"Inst Own",
"Inst Trans",
"Float Short",
"Short Ratio",
"Avg Volume",
"Price",
"Change",
"Volume",
],
"performance": [
"Ticker",
"Perf Week",
"Perf Month",
"Perf Quart",
"Perf Half",
"Perf Year",
"Perf YTD",
"Volatility W",
"Volatility M",
"Recom",
"Avg Volume",
"Rel Volume",
"Price",
"Change",
"Volume",
],
"technical": [
"Ticker",
"Beta",
"ATR",
"SMA20",
"SMA50",
"SMA200",
"52W High",
"52W Low",
"RSI",
"Price",
"Change",
"from Open",
"Gap",
"Volume",
],
}
# pylint: disable=R0912
@@ -157,7 +57,7 @@ class ScreenerCommands(commands.Cog):
self,
inter: disnake.AppCmdInter,
preset: str = commands.Param(autocomplete=presets_custom_autocomp),
sort: str = commands.Param(choices=sort["overview"]),
sort: str = commands.Param(choices=commands_dict.screener_sort["overview"]),
limit: int = 5,
ascend: bool = False,
):
@@ -179,7 +79,7 @@ class ScreenerCommands(commands.Cog):
self,
inter: disnake.AppCmdInter,
preset: str = commands.Param(autocomplete=presets_custom_autocomp),
sort: str = commands.Param(choices=sort["valuation"]),
sort: str = commands.Param(choices=commands_dict.screener_sort["valuation"]),
limit: int = 5,
ascend: bool = False,
):
@@ -201,7 +101,7 @@ class ScreenerCommands(commands.Cog):
self,
inter: disnake.AppCmdInter,
preset: str = commands.Param(autocomplete=presets_custom_autocomp),
sort: str = commands.Param(choices=sort["financial"]),
sort: str = commands.Param(choices=commands_dict.screener_sort["financial"]),
limit: int = 5,
ascend: bool = False,
):
@@ -223,7 +123,7 @@ class ScreenerCommands(commands.Cog):
self,
inter: disnake.AppCmdInter,
preset: str = commands.Param(autocomplete=presets_custom_autocomp),
sort: str = commands.Param(choices=sort["ownership"]),
sort: str = commands.Param(choices=commands_dict.screener_sort["ownership"]),
limit: int = 5,
ascend: bool = False,
):
@@ -245,7 +145,7 @@ class ScreenerCommands(commands.Cog):
self,
inter: disnake.AppCmdInter,
preset: str = commands.Param(autocomplete=presets_custom_autocomp),
sort: str = commands.Param(choices=sort["performance"]),
sort: str = commands.Param(choices=commands_dict.screener_sort["performance"]),
limit: int = 5,
ascend: bool = False,
):
@@ -267,7 +167,7 @@ class ScreenerCommands(commands.Cog):
self,
inter: disnake.AppCmdInter,
preset: str = commands.Param(autocomplete=presets_custom_autocomp),
sort: str = commands.Param(choices=sort["technical"]),
sort: str = commands.Param(choices=commands_dict.screener_sort["technical"]),
limit: int = 5,
ascend: bool = False,
):

View File

@@ -29,26 +29,6 @@ from bots.stocks.technical_analysis.view import view_command
from bots.stocks.technical_analysis.wma import wma_command
from bots.stocks.technical_analysis.zlma import zlma_command
possible_ma = [
"dema",
"ema",
"fwma",
"hma",
"linreg",
"midpoint",
"pwma",
"rma",
"sinwma",
"sma",
"swma",
"t3",
"tema",
"trima",
"vidya",
"wma",
"zlma",
]
class TechnicalAnalysisCommands(commands.Cog):
"""Technical Analysis menu."""

View File

@@ -0,0 +1,809 @@
import re
from typing import List
import pandas as pd
from bots.economy.currencies import currencies_command
from bots.economy.energy import energy_command
from bots.economy.feargreed import feargreed_command
from bots.economy.futures import futures_command
from bots.economy.glbonds import glbonds_command
from bots.economy.grains import grains_command
from bots.economy.indices import indices_command
from bots.economy.meats import meats_command
from bots.economy.metals import metals_command
from bots.economy.overview import overview_command
from bots.economy.performance import performance_command
from bots.economy.softs import softs_command
from bots.economy.usbonds import usbonds_command
from bots.economy.valuation import valuation_command
from bots.stocks.candle import candle_command
from bots.stocks.dark_pool_shorts.dpotc import dpotc_command
from bots.stocks.dark_pool_shorts.ftd import ftd_command
from bots.stocks.dark_pool_shorts.hsi import hsi_command
from bots.stocks.dark_pool_shorts.pos import pos_command
from bots.stocks.dark_pool_shorts.psi import psi_command
from bots.stocks.dark_pool_shorts.shorted import shorted_command
from bots.stocks.dark_pool_shorts.sidtc import sidtc_command
from bots.stocks.dark_pool_shorts.spos import spos_command
from bots.stocks.disc.ford import ford_command
from bots.stocks.due_diligence.analyst import analyst_command
from bots.stocks.due_diligence.arktrades import arktrades_command
from bots.stocks.due_diligence.customer import customer_command
from bots.stocks.due_diligence.est import est_command
from bots.stocks.due_diligence.pt import pt_command
from bots.stocks.due_diligence.sec import sec_command
from bots.stocks.due_diligence.supplier import supplier_command
from bots.stocks.government.contracts import contracts_command
from bots.stocks.government.gtrades import gtrades_command
from bots.stocks.government.histcont import histcont_command
from bots.stocks.government.lastcontracts import lastcontracts_command
from bots.stocks.government.lasttrades import lasttrades_command
from bots.stocks.government.lobbying import lobbying_command
from bots.stocks.government.qtrcontracts import qtrcontracts_command
from bots.stocks.government.topbuys import topbuys_command
from bots.stocks.government.toplobbying import toplobbying_command
from bots.stocks.government.topsells import topsells_command
from bots.stocks.insider.lins import lins_command
from bots.stocks.options.cc_hist import cc_hist_command
from bots.stocks.options.hist import hist_command
from bots.stocks.options.iv import iv_command
from bots.stocks.options.oi import oi_command
from bots.stocks.options.opt_chain import chain_command
from bots.stocks.options.overview import overview_command as overview_opt_command
from bots.stocks.options.unu import unu_command
from bots.stocks.options.vol import vol_command
from bots.stocks.options.vsurf import vsurf_command
from bots.stocks.quote import quote_command
from bots.stocks.screener.financial import financial_command
from bots.stocks.screener.historical import historical_command
from bots.stocks.screener.overview import overview_command as overview_screener_command
from bots.stocks.screener.ownership import ownership_command
from bots.stocks.screener.performance import (
performance_command as performance_screener_command,
)
from bots.stocks.screener.presets_custom import presets_custom_command
from bots.stocks.screener.presets_default import presets_default_command
from bots.stocks.screener.technical import technical_command
from bots.stocks.screener.valuation import (
valuation_command as valuation_screener_command,
)
from bots.stocks.technical_analysis.ad import ad_command
from bots.stocks.technical_analysis.adosc import adosc_command
from bots.stocks.technical_analysis.adx import adx_command
from bots.stocks.technical_analysis.aroon import aroon_command
from bots.stocks.technical_analysis.bbands import bbands_command
from bots.stocks.technical_analysis.cci import cci_command
from bots.stocks.technical_analysis.donchian import donchian_command
from bots.stocks.technical_analysis.ema import ema_command
from bots.stocks.technical_analysis.fib import fib_command
from bots.stocks.technical_analysis.fisher import fisher_command
from bots.stocks.technical_analysis.hma import hma_command
from bots.stocks.technical_analysis.kc import kc_command
from bots.stocks.technical_analysis.macd import macd_command
from bots.stocks.technical_analysis.obv import obv_command
from bots.stocks.technical_analysis.recom import recom_command
from bots.stocks.technical_analysis.rsi import rsi_command
from bots.stocks.technical_analysis.sma import sma_command
from bots.stocks.technical_analysis.stoch import stoch_command
from bots.stocks.technical_analysis.summary import summary_command
from bots.stocks.technical_analysis.view import view_command
from bots.stocks.technical_analysis.wma import wma_command
from bots.stocks.technical_analysis.zlma import zlma_command
re_date = re.compile(r"/^\d{4}-(0[1-9]|1[0-2])-(0[1-9]|[12][0-9]|3[01])$/")
re_int = re.compile(r"^[1-9]\d*$")
re_float = re.compile(r"^[+-]?([0-9]+([.][0-9]*)?|[.][0-9]+)$")
re_name = re.compile(r"(?s).*")
re_window = re.compile(r"(?s).*")
gov_type = ["congress", "senate", "house"]
dps_pos_choices = {
"Short Vol (1M)": "sv",
"Short Vol %": "sv_pct",
"Net Short Vol (1M)": "nsv",
"Net Short Vol ($100M)": "nsv_dollar",
"DP Position (1M)": "dpp",
"DP Position ($1B)": "dpp_dollar",
}
econ_group = [
"basic_materials",
"capitalization",
"communication_services",
"consumer_cyclical",
"consumer_defensive",
"country",
"energy",
"financial",
"healthcare",
"industry",
"industrials",
"real_estate",
"sector",
"technology",
"utilities",
]
econ_fgind = {
"Junk Bond Demand": "jbd",
"Market Volatility": "mv",
"Put and Call Options": "pco",
"Market Momentum": "mm",
"Stock Price Strength": "sps",
"Stock Price Breadth": "spb",
"Safe Heaven Demand": "shd",
}
options_vsurf_choices = {
"Volatility": "IV",
"Open Interest": "OI",
"Last Price": "LP",
}
opt_intervals = [1, 5, 15, 30, 60, 1440]
screener_sort = {
"overview": [
"Ticker",
"Company",
"Sector",
"Industry",
"Country",
"Market Cap",
"P/E",
"Price",
"Change",
"Volume",
],
"valuation": [
"Ticker",
"Market Cap",
"P/E",
"Fwd P/E",
"PEG",
"P/S",
"P/B",
"P/C",
"P/FCF",
"EPS this Y",
"EPS next Y",
"EPS past 5Y",
"EPS next 5Y",
"Sales past 5Y",
"Price",
"Change",
"Volume",
],
"financial": [
"Ticker",
"Market Cap",
"Dividend",
"ROA",
"ROE",
"ROI",
"Curr R",
"Quick R",
"LTDebt/Eq",
"Debt/Eq",
"Gross M",
"Oper M",
"Profit M",
"Earnings",
"Price",
"Change",
"Volume",
],
"ownership": [
"Ticker",
"Market Cap",
"Outstanding",
"Float",
"Insider Own",
"Insider Trans",
"Inst Own",
"Inst Trans",
"Float Short",
"Short Ratio",
"Avg Volume",
"Price",
"Change",
"Volume",
],
"performance": [
"Ticker",
"Perf Week",
"Perf Month",
"Perf Quart",
"Perf Half",
"Perf Year",
"Perf YTD",
"Volatility W",
"Volatility M",
"Recom",
"Avg Volume",
"Rel Volume",
"Price",
"Change",
"Volume",
],
"technical": [
"Ticker",
"Beta",
"ATR",
"SMA20",
"SMA50",
"SMA200",
"52W High",
"52W Low",
"RSI",
"Price",
"Change",
"from Open",
"Gap",
"Volume",
],
}
presets = [
"potential_reversals",
"golden_cross_penny",
"rosenwald_gtfo",
"golden_cross",
"bull_runs_over_10pct",
"recent_growth_and_support",
"heavy_inst_ins",
"short_squeeze_scan",
"under_15dol_stocks",
"top_performers_healthcare",
"oversold_under_3dol",
"value_stocks",
"cheap_dividend",
"death_cross",
"top_performers_tech",
"unusual_volume",
"cheap_oversold",
"undervalue",
"high_vol_and_low_debt",
"simplistic_momentum_scanner_under_7dol",
"5pct_above_low",
"growth_stocks",
"cheap_bottom_dividend",
"analyst_strong_buy",
"oversold",
"rosenwald",
"weak_support_and_top_performers",
"channel_up_and_low_debt_and_sma_50and200",
"template",
"modified_neff",
"buffett_like",
"oversold_under_5dol",
"sexy_year",
"news_scanner",
"top_performers_all",
"stocks_strong_support_levels",
"continued_momentum_scan",
"modified_dreman",
"break_out_stocks",
]
signals = [
"top_gainers",
"top_losers",
"new_high",
"new_low",
"most_volatile",
"most_active",
"unusual_volume",
"overbought",
"oversold",
"downgrades",
"upgrades",
"earnings_before",
"earnings_after",
"recent_insider_buying",
"recent_insider_selling",
"major_news",
"horizontal_sr",
"tl_resistance",
"tl_support",
"wedge_up",
"wedge_down",
"wedge",
"triangle_ascending",
"triangle_descending",
"channel_up",
"channel_down",
"channel",
"double_top",
"double_bottom",
"multiple_top",
"multiple_bottom",
"head_shoulders",
"head_shoulders_inverse",
]
possible_ma = [
"dema",
"ema",
"fwma",
"hma",
"linreg",
"midpoint",
"pwma",
"rma",
"sinwma",
"sma",
"swma",
"t3",
"tema",
"trima",
"vidya",
"wma",
"zlma",
]
def get_tickers() -> List[str]:
col_list = ["Name"]
df = pd.read_csv("files/tickers.csv", usecols=col_list)
df = df["Name"]
return df.tolist()
tickers = get_tickers()
commands = {
"dd-analyst": {
"function": analyst_command,
"required": {"ticker": tickers},
},
"dd-pt": {
"function": pt_command,
"required": {"ticker": tickers},
"optional": {"raw": [True, False], "start": re_date},
},
"dd-est": {"function": est_command, "required": {"ticker": tickers}},
"dd-sec": {"function": sec_command, "required": {"ticker": tickers}},
"dd-supplier": {
"function": supplier_command,
"required": {"ticker": tickers},
},
"dd-customer": {
"function": customer_command,
"required": {"ticker": tickers},
},
"dd-arktrades": {
"function": arktrades_command,
"required": {
"ticker": tickers,
},
"optional": {"num": re_int},
},
"dps-shorted": {"function": shorted_command, "optional": re_int},
"dps-hsi": {"function": hsi_command, "optional": {"num": re_int}},
"dps-pos": {
"function": pos_command,
"required": {"sort": dps_pos_choices.values()},
"optional": {"num": re_int},
},
"dps-sidtc": {
"function": sidtc_command,
"required": {"sort": ["float", "dtc", "si"]},
"optional": {"num": re_int},
},
"dps-ftd": {
"function": ftd_command,
"required": {"ticker": tickers},
"optional": {"start": re_date, "end": re_date},
},
"dps-dpotc": {
"function": dpotc_command,
"required": {"ticker": tickers},
},
"dps-spos": {"function": spos_command, "required": {"ticker": tickers}},
"dps-psi": {"function": psi_command, "required": {"ticker": tickers}},
"econ-feargreed": {
"function": feargreed_command,
},
"econ-overview": {
"function": overview_command,
},
"econ-indices": {
"function": indices_command,
},
"econ-futures": {
"function": futures_command,
},
"econ-usbonds": {
"function": usbonds_command,
},
"econ-glbonds": {
"function": glbonds_command,
},
"econ-energy": {
"function": energy_command,
},
"econ-metals": {
"function": metals_command,
},
"econ-meats": {
"function": meats_command,
},
"econ-grains": {
"function": grains_command,
},
"econ-softs": {
"function": softs_command,
},
"econ-currencies": {
"function": currencies_command,
},
"econ-valuation": {
"function": valuation_command,
"required": {"economy_group": econ_group},
},
"econ-performance": {
"function": performance_command,
"required": {"economy_group": econ_group},
},
"gov-lasttrades": {
"function": lasttrades_command,
"required": {"gov_type": gov_type},
"optional": {"past_days": re_int, "representative": re_name},
},
"gov-topbuys": {
"function": topbuys_command,
"required": {"gov_type": gov_type},
"optional": {
"past_transactions_months": re_int,
"num": re_int,
"raw": [True, False],
},
},
"gov-topsells": {
"function": topsells_command,
"required": {"gov_type": gov_type},
"optional": {
"past_transactions_months": re_int,
"num": re_int,
"raw": [True, False],
},
},
"gov-lastcontracts": {
"function": lastcontracts_command,
"optional": {"past_transactions_days": re_int, "num": re_int},
},
"gov-qtrcontracts": {
"function": qtrcontracts_command,
"required": {"analysis": ["total", "upmom", "downmom"]},
"optional": {
"num": re_int,
},
},
"gov-toplobbying": {
"function": toplobbying_command,
"optional": {"num": re_int, "raw": [True, False]},
},
"gov-gtrades": {
"function": gtrades_command,
"required": {
"ticker": tickers,
"gov_type": gov_type,
},
"optional": {"past_transactions_months": re_int, "raw": [True, False]},
},
"gov-contracts": {
"function": contracts_command,
"required": {
"ticker": tickers,
"past_transaction_days": re_int,
"raw": [True, False],
},
},
"gov-histcont": {"function": histcont_command, "required": {"ticker": tickers}},
"gov-lobbying": {
"function": lobbying_command,
"required": {"ticker": tickers},
"optional": {
"num": re_int,
},
},
"opt-chain": {
"function": chain_command,
"required": {
"ticker": tickers,
"expiry": re_date,
"opt_type": ["Calls", "Puts"],
},
"optional": {"min_sp": re_float, "max_sp": re_float},
},
"opt-oi": {
"function": oi_command,
"required": {"ticker": tickers, "expiry": re_date},
"optional": {"min_sp": re_float, "max_sp": re_float},
},
"opt-iv": {
"function": iv_command,
"required": {"ticker": tickers},
},
"q": {"function": quote_command, "required": {"ticker": tickers}},
"disc-ford": {
"function": ford_command,
},
"opt-unu": {
"function": unu_command,
},
"ins-last": {
"function": lins_command,
"required": {"ticker": tickers},
"optional": {"num": re_int},
},
"cc": {
"function": candle_command,
"required": {"ticker": tickers, "interval": opt_intervals},
"optional": {"past_days": re_int, "start": re_date, "end": re_date},
},
"opt-overview": {
"function": overview_opt_command,
"required": {"ticker": tickers, "expiry": re_date},
"optional": {
"min_sp": re_float,
"max_sp": re_float,
},
},
"opt-vol": {
"function": vol_command,
"required": {"ticker": tickers, "expiry": re_date},
},
"opt-vsurf": {
"function": vsurf_command,
"required": {"ticker": tickers, "z": options_vsurf_choices.values()},
},
"opt-hist": {
"function": hist_command,
"required": {
"ticker": tickers,
"expiry": re_date,
"strike": re_float,
"opt_type": ["Calls", "Puts"],
"greek": ["iv", "gamma", "delta", "theta", "rho", "vega"],
},
},
"opt-cc-hist": {
"function": cc_hist_command,
"required": {
"ticker": tickers,
"expiry": re_date,
"strike": re_float,
"opt_type": ["Calls", "Puts"],
},
},
"scr-presets_default": {
"function": presets_default_command,
},
"scr-presets_custom": {
"function": presets_custom_command,
},
"scr-historical": {
"function": historical_command,
"required": {"signal": signals},
"optional": {"start": re_date},
},
"scr-overview": {
"function": overview_screener_command,
"required": {"preset": presets, "sort": screener_sort["overview"]},
"optional": {"limit": re_int, "ascend": [True, False]},
},
"scr-valuation": {
"function": valuation_screener_command,
"required": {"preset": presets, "sort": screener_sort["valuation"]},
"optional": {"limit": re_int, "ascend": [True, False]},
},
"scr-financial": {
"function": financial_command,
"required": {"preset": presets, "sort": screener_sort["financial"]},
"optional": {"limit": re_int, "ascend": [True, False]},
},
"scr-ownership": {
"function": ownership_command,
"required": {"preset": presets, "sort": screener_sort["ownership"]},
"optional": {"limit": re_int, "ascend": [True, False]},
},
"scr-performance": {
"function": performance_screener_command,
"required": {"preset": presets, "sort": screener_sort["performance"]},
"optional": {"limit": re_int, "ascend": [True, False]},
},
"scr-technical": {
"function": technical_command,
"required": {"preset": presets, "sort": screener_sort["technical"]},
"optional": {"limit": re_int, "ascend": [True, False]},
},
"ta-ema": {
"function": ema_command,
"required": {"ticker": tickers},
"optional": {
"window": re_window,
"offset": re_int,
"start": re_date,
"end": re_date,
},
},
"ta-sma": {
"function": sma_command,
"required": {"ticker": tickers},
"optional": {
"window": re_window,
"offset": re_int,
"start": re_date,
"end": re_date,
},
},
"ta-wma": {
"function": wma_command,
"required": {"ticker": tickers},
"optional": {
"window": re_window,
"offset": re_int,
"start": re_date,
"end": re_date,
},
},
"ta-hma": {
"function": hma_command,
"required": {"ticker": tickers},
"optional": {
"window": re_window,
"offset": re_int,
"start": re_date,
"end": re_date,
},
},
"ta-zlma": {
"function": zlma_command,
"required": {"ticker": tickers},
"optional": {
"window": re_window,
"offset": re_int,
"start": re_date,
"end": re_date,
},
},
"ta-cci": {
"function": cci_command,
"required": {"ticker": tickers},
"optional": {
"length": re_int,
"scalar": re_float,
"start": re_date,
"end": re_date,
},
},
"ta-macd": {
"function": macd_command,
"required": {"ticker": tickers},
"optional": {
"length": re_int,
"scalar": re_float,
"start": re_date,
"end": re_date,
},
},
"ta-rsi": {
"function": rsi_command,
"required": {"ticker": tickers},
"optional": {
"length": re_int,
"scalar": re_float,
"drift": re_int,
"start": re_date,
"end": re_date,
},
},
"ta-stoch": {
"function": stoch_command,
"required": {"ticker": tickers},
"optional": {
"fast_k": re_int,
"slow_k": re_int,
"slow_d": re_int,
"start": re_date,
"end": re_date,
},
},
"ta-fisher": {
"function": fisher_command,
"required": {"ticker": tickers},
"optional": {"length": re_int, "start": re_date, "end": re_date},
},
"ta-cg": {
"function": fisher_command,
"required": {"ticker": tickers},
"optional": {"length": re_int, "start": re_date, "end": re_date},
},
"ta-adx": {
"function": adx_command,
"required": {"ticker": tickers},
"optional": {
"length": re_int,
"scalar": re_int,
"drift": re_int,
"start": re_date,
"end": re_date,
},
},
"ta-aroon": {
"function": aroon_command,
"required": {"ticker": tickers},
"optional": {
"length": re_int,
"scalar": re_int,
"start": re_date,
"end": re_date,
},
},
"ta-bbands": {
"function": bbands_command,
"required": {
"ticker": tickers,
"mamode": ["ema", "sma", "wma", "hma", "zlma"],
},
"optional": {"length": re_int, "std": re_int, "start": re_date, "end": re_date},
},
"ta-donchian": {
"function": donchian_command,
"required": {"ticker": tickers},
"optional": {
"upper_length": re_int,
"lower_length": re_int,
"start": re_date,
"end": re_date,
},
},
"ta-kc": {
"function": kc_command,
"required": {
"ticker": tickers,
"mamode": ["ema", "sma", "wma", "hma", "zlma"],
},
"optional": {
"length": re_int,
"scalar": re_int,
"offset": re_int,
"start": re_date,
"end": re_date,
},
},
"ta-ad": {
"function": ad_command,
"required": {"ticker": tickers},
"optional": {"is_open": ["True", "False"], "start": re_date, "end": re_date},
},
"ta-adosc": {
"function": adosc_command,
"required": {
"ticker": tickers,
},
"optional": {
"is_open": ["True", "False"],
"fast": re_int,
"slow": re_int,
"start": re_date,
"end": re_date,
},
},
"ta-obv": {
"function": obv_command,
"required": {"ticker": tickers},
"optional": {"start": re_date, "end": re_date},
},
"ta-fib": {
"function": fib_command,
"required": {"ticker": tickers},
"optional": {"start": re_date, "end": re_date},
},
"ta-view": {"function": view_command, "required": {"ticker": tickers}},
"ta-summary": {"function": summary_command, "required": {"ticker": tickers}},
"ta-recom": {"function": recom_command, "required": {"ticker": tickers}},
}

View File

@@ -35,6 +35,7 @@ def indices_command():
df = df[
[
" ",
"Price",
"Chg",
"%Chg",

View File

@@ -30,6 +30,7 @@ def overview_command():
df = df[
[
" ",
"Price",
"Chg",
"%Chg",

View File

@@ -0,0 +1,75 @@
"""Groupme"""
__docformat__ = "numpy"
from typing import Optional
import io
import json
import os
import pathlib
import urllib.request as urllib
import requests
from dotenv import load_dotenv
load_dotenv()
base = "https://api.groupme.com/v3"
TOKEN = os.getenv("GROUPME_TOKEN")
end = f"?token={TOKEN}"
group_to_bot = {
os.getenv("TEST_GROUP_ID"): os.getenv("TEST_GROUP_BOT"),
os.getenv("MAIN_GROUP_ID"): os.getenv("MAIN_GROUP_BOT"),
}
def shorten_message(message: Optional[str]) -> Optional[str]:
# TODO: make the cutoff algorithm better
if message is None:
return message
if len(message) > 990:
return f"{message[:990]}..."
return message
def upload_image(image: str, local: bool) -> requests.Response:
url = "https://image.groupme.com/pictures"
headers = {
"Content-Type": "image/jpeg",
"X-Access-Token": os.getenv("X_ACCESS_TOKEN"),
}
if local:
path_string = pathlib.Path(__file__).parent.parent.resolve()
path = os.path.join(path_string, image)
return requests.post(url, data=open(path, "rb").read(), headers=headers)
with urllib.urlopen(image) as data:
return requests.post(url, data=io.BytesIO(data.read()), headers=headers)
def send_message(message: str, group_id: str) -> requests.Response:
mid = "/bots/post"
bot_id = group_to_bot[group_id]
cleaned = shorten_message(message)
return requests.post(url=f"{base+mid}?bot_id={bot_id}&text={cleaned}")
def send_image(
image: str, group_id: str, text: str = None, local: bool = False
) -> requests.Response:
if "http" in image:
response = upload_image(image, False)
else:
response = upload_image(image, True)
response_json = response.json()
image_url = response_json["payload"]["picture_url"]
mid = "/bots/post"
bot_id = group_to_bot[group_id]
text = shorten_message(text)
data = {
"bot_id": bot_id,
"text": text,
"attachments": [{"type": "image", "url": image_url}],
}
if "http" not in image:
os.remove(image)
return requests.post(base + mid + end, data=json.dumps(data))

139
bots/groupme/run_groupme.py Normal file
View File

@@ -0,0 +1,139 @@
import json
from typing import List, Pattern, Dict, Any, Set, Union
from bots.common.commands_dict import commands
from bots.groupme.groupme_helpers import send_message
from bots.helpers import ShowView
def get_syntax(selected: Dict[str, Any], cmd: str) -> str:
"""Returns the syntax for a given command
Parameters
----------
selected : Dict[str, Any]
The command object
cmd : str
The command that was attempted
Returns
---------
syntax : str
The syntax for the given command
"""
syntax = f"{cmd}/"
syntax += "/".join(selected.get("required", []))
return syntax
def get_arguments(selected: Dict[str, Any], req_name: str, group_id: str) -> None:
"""Returns the arguments for a given command
Parameters
----------
selected : Dict[str, Any]
The command object
req_name : str
The name of the requirement
group_id : str
The groupme chat id
"""
if req_name == "ticker":
send_message("Please give a listed ticker", group_id)
elif req_name == "past_transactions_days":
send_message("Please give the number of days as an integer", group_id)
elif req_name == "raw":
send_message("Please type true or false", group_id)
else:
select = [str(x) for x in selected["required"].get(req_name, [])]
selections = ", ".join(select)
if len(selections) < 990:
selections = f"{selections[:990]}"
send_message(f"Options: {selections}", group_id)
def send_options(name: str, items: Union[List[Any], Set[Any]], group_id: str) -> None:
"""Sends the options for a user
Parameters
----------
name : str
The name of the section
items : List[str]
The items the user can select from
group_id : str
The groupme chat id
"""
message = name
clean = list(items)
clean.sort()
message += ", ".join(list(clean))
send_message(message, group_id)
def handle_groupme(request) -> bool:
"""Handles groupme bot inputs
Parameters
----------
request : Request
The request object provided by FASTAPI
Returns
----------
success : bool
Whether the response was sent successfully
"""
req = json.loads(request.decode("utf-8"))
text = req.get("text").strip().lower()
group_id = req.get("group_id").strip()
if text[0] == "!":
cmd = text[1:]
full_cmd = cmd.split("/")
group = full_cmd[0].split("-")[0]
parents = {x.split("-")[0] for x in commands}
if group in parents:
if full_cmd[0] in commands:
selected = commands[full_cmd[0]]
if len(full_cmd) != len(selected.get("required", [])) + 1:
syntax = get_syntax(selected, full_cmd[0])
send_message(f"Required syntax: {syntax}", group_id)
return False
other_args = {}
for i, val in enumerate(full_cmd[1:]):
req_name = list(selected.get("required", {}).keys())[i]
required = selected.get("required", [])[req_name]
if isinstance(required, List) and required != [True, False]:
required = [str(x) for x in required]
if isinstance(val, str) and req_name in ["ticker"]:
val = val.upper()
elif isinstance(val, str) and req_name == "raw":
val = bool(val)
if (isinstance(required, List) and val not in required) or (
isinstance(required, Pattern) and not required.match(val)
):
syntax = get_syntax(selected, full_cmd[0])
send_message(
f"{syntax}\nInvalid argument for: {req_name}", group_id
)
get_arguments(selected, req_name, group_id)
return False
other_args[req_name] = val
func = selected["function"]
ShowView().groupme(func, group_id, cmd, **other_args)
return True
else:
show_cmds = []
for command in commands:
if group == command[: len(group)]:
show_cmds.append(command)
send_options("Valid commands: ", show_cmds, group_id)
return False
else:
send_options("Valid categories: ", parents, group_id)
return False
return False

View File

@@ -1,4 +1,5 @@
import os
from typing import List
import uuid
import df2img
@@ -9,6 +10,7 @@ from numpy.core.fromnumeric import transpose
from PIL import Image
import bots.config_discordbot as cfg
from bots.groupme.groupme_helpers import send_image, send_message
presets_custom = [
"potential_reversals",
@@ -201,7 +203,9 @@ def image_border(file, **kwargs):
if "fig" in kwargs:
fig = kwargs["fig"]
fig.write_image(imagefile)
img = Image.open(file)
img = Image.open(imagefile)
else:
img = Image.open(file)
im_bg = Image.open(cfg.IMG_BG)
h = img.height + 240
w = img.width + 520
@@ -218,7 +222,6 @@ def image_border(file, **kwargs):
image = Image.open(file)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
os.remove(file)
return imagefile
@@ -269,3 +272,22 @@ class ShowView:
)
await inter.send(embed=embed, delete_after=30.0)
def groupme(self, func, group_id, name, *args, **kwargs):
data = func(*args, **kwargs)
if "imagefile" in data:
send_image(data["imagefile"], group_id, data.get("description", ""), True)
elif "embeds_img" in data:
send_image(
data["embeds_img"][0], group_id, data.get("description", ""), True
)
elif "description" in data:
title = data.get("title", "")
# TODO: Allow navigation through pages
description = data.get("description")
if isinstance(description, List):
clean_desc = description[0].replace("Page ", "")
else:
clean_desc = description.replace("Page ", "")
message = f"{title}\n{clean_desc}"
send_message(message, group_id)

View File

@@ -8,17 +8,26 @@ import config_discordbot as cfg
import disnake
from config_discordbot import logger
from disnake.ext import commands
from fastapi import FastAPI
from fastapi import FastAPI, Request
from bots.groupme.run_groupme import handle_groupme
app = FastAPI()
# For next update
@app.get("/")
async def read_root():
return {"Hello": str(gst_bot.user)}
@app.post("/")
async def write_root(request: Request):
# TODO: Make this work for more bots
req_info = await request.body()
value = handle_groupme(req_info)
return {"Worked": value}
activity = disnake.Activity(
type=disnake.ActivityType.watching,
name="Gamestonk Terminal: https://github.com/GamestonkTerminal/GamestonkTerminal",

View File

@@ -1,8 +1,9 @@
import pandas as pd
from matplotlib import pyplot as plt
from typing import Union
import bots.config_discordbot as cfg
from matplotlib import pyplot as plt
import pandas as pd
from bots.config_discordbot import logger
import bots.config_discordbot as cfg
from bots.helpers import image_border
from gamestonk_terminal.config_plot import PLOT_DPI
from gamestonk_terminal.helper_funcs import plot_autoscale
@@ -10,9 +11,10 @@ from gamestonk_terminal.stocks.government import quiverquant_model
def contracts_command(
ticker: str = "", past_transaction_days: int = 10, raw: bool = False
ticker: str = "", past_transaction_days: Union[int, str] = 10, raw: bool = False
):
"""Displays contracts associated with tickers [quiverquant.com]"""
past_transaction_days = int(past_transaction_days)
# Debug user input
if cfg.DEBUG:
logger.debug("gov-contracts %s %s %s", ticker, past_transaction_days, raw)
@@ -24,7 +26,10 @@ def contracts_command(
df_contracts = quiverquant_model.get_government_trading("contracts", ticker)
if df_contracts.empty:
raise Exception("No government contracts found")
return {
"title": f"Stocks: [quiverquant.com] Contracts by {ticker}",
"description": f"{ticker} does not have any contracts",
}
# Output Data
df_contracts["Date"] = pd.to_datetime(df_contracts["Date"]).dt.date

View File

@@ -115,7 +115,7 @@ def financial_command(preset="template", sort="", limit: int = 5, ascend: bool =
)
)
reports.append(f"{description}")
print(df_screen)
return {
"view": Menu,
"title": title,

View File

@@ -87,7 +87,7 @@ def display_candle(
candle_chart_kwargs["figratio"] = (10, 7)
candle_chart_kwargs["figscale"] = 1.10
candle_chart_kwargs["figsize"] = plot_autoscale()
fig, _ = mpf.plot(data, **candle_chart_kwargs)
fig, ax = mpf.plot(data, **candle_chart_kwargs)
fig.suptitle(
f"{from_symbol}/{to_symbol}",
x=0.055,
@@ -95,6 +95,7 @@ def display_candle(
horizontalalignment="left",
)
theme.visualize_output(force_tight_layout=False)
ax[0].legend()
else:
if len(external_axes) != 1:
logger.error("Expected list of 1 axis items.")