diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile index e102104..7b94b35 100644 --- a/.devcontainer/Dockerfile +++ b/.devcontainer/Dockerfile @@ -1,3 +1,5 @@ FROM python:3.11 COPY . . + +# RUN pip install -r requirements.txt \ No newline at end of file diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json index 4f26f5e..3209b44 100644 --- a/.devcontainer/devcontainer.json +++ b/.devcontainer/devcontainer.json @@ -1,39 +1,39 @@ -// For format details, see https://aka.ms/devcontainer.json. For config options, see the -// README at: https://github.com/devcontainers/templates/tree/main/src/python -{ - "name": "Python 3", - // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile - // "image": "mcr.microsoft.com/devcontainers/python:1-3-bookworm", - "build": { - "dockerfile": "Dockerfile" - }, - "features": { - "ghcr.io/devcontainers-contrib/features/black:2": {}, - "ghcr.io/devcontainers-contrib/features/mypy:2": {}, - "ghcr.io/devcontainers-contrib/features/pylint:2": {}, - "ghcr.io/devcontainers/features/docker-in-docker": {} - }, - "customizations": { - "vscode": { - "extensions": [ - "ms-python.python", - "ms-python.black-formatter", - "ms-python.flake8", - "ms-python.vscode-pylance", - "ms-python.isort", - "charliermarsh.ruff" - ] - } - }, - "postCreateCommand": "pip3 install --user -r dev-reqs.txt" - // Features to add to the dev container. More info: https://containers.dev/features. - // "features": {}, - // Use 'forwardPorts' to make a list of ports inside the container available locally. - // "forwardPorts": [], - // Use 'postCreateCommand' to run commands after the container is created. - // "postCreateCommand": "pip3 install --user -r requirements.txt", - // Configure tool-specific properties. - // "customizations": {}, - // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root. - // "remoteUser": "root" +// For format details, see https://aka.ms/devcontainer.json. For config options, see the +// README at: https://github.com/devcontainers/templates/tree/main/src/python +{ + "name": "Python 3", + // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile + // "image": "mcr.microsoft.com/devcontainers/python:1-3-bookworm", + "build": { + "dockerfile": "Dockerfile" + }, + "features": { + "ghcr.io/devcontainers-contrib/features/black:2": {}, + "ghcr.io/devcontainers-contrib/features/mypy:2": {}, + "ghcr.io/devcontainers-contrib/features/pylint:2": {}, + "ghcr.io/devcontainers/features/docker-in-docker": {} + }, + "customizations": { + "vscode": { + "extensions": [ + "ms-python.python", + "ms-python.black-formatter", + "ms-python.flake8", + "ms-python.vscode-pylance", + "ms-python.isort", + "charliermarsh.ruff" + ] + } + }, + "postCreateCommand": "pip3 install --user -r dev-reqs.txt" + // Features to add to the dev container. More info: https://containers.dev/features. + // "features": {}, + // Use 'forwardPorts' to make a list of ports inside the container available locally. + // "forwardPorts": [], + // Use 'postCreateCommand' to run commands after the container is created. + // "postCreateCommand": "pip3 install --user -r requirements.txt", + // Configure tool-specific properties. + // "customizations": {}, + // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root. + // "remoteUser": "root" } \ No newline at end of file diff --git a/.gitignore b/.gitignore index 6d17870..2cb2226 100644 --- a/.gitignore +++ b/.gitignore @@ -1,2 +1,2 @@ -__pycache__ +__pycache__ .env \ No newline at end of file diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index 2a5a9e1..35e36fe 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -1,5 +1,21 @@ -black: - # stage: .pre - image: registry.gitlab.com/pipeline-components/black:latest - script: - - black --check --verbose -- . +stages: + - lint + - deploy + +black: + stage: lint + image: registry.gitlab.com/pipeline-components/black:latest + script: + - black --check --verbose -- . + +ruff: + stage: lint + # image: registry.gitlab.com/pipeline-components/ruff:latest + image: python:3.11-slim + script: + - pip3 install ruff + - ruff --output-format gitlab . + + +include: + - local: /docs/.gitlab-ci.yml diff --git a/.vscode/settings.json b/.vscode/settings.json index 00771b6..0722d8b 100644 --- a/.vscode/settings.json +++ b/.vscode/settings.json @@ -1,8 +1,8 @@ -{ - "editor.formatOnSave": true, - "editor.formatOnPaste": true, - "editor.formatOnSaveMode": "modificationsIfAvailable", - "[python]": { - "editor.defaultFormatter": "ms-python.black-formatter", - } +{ + "editor.formatOnSave": true, + "editor.formatOnPaste": true, + "editor.formatOnSaveMode": "modificationsIfAvailable", + "[python]": { + "editor.defaultFormatter": "ms-python.black-formatter", + } } \ No newline at end of file diff --git a/LICENSE b/LICENSE index 18a8b73..e6ff068 100644 --- a/LICENSE +++ b/LICENSE @@ -1,21 +1,21 @@ -MIT License - -Copyright (c) 2019 Anson Biggs - -Permission is hereby granted, free of charge, to any person obtaining a copy -of this software and associated documentation files (the "Software"), to deal -in the Software without restriction, including without limitation the rights -to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -copies of the Software, and to permit persons to whom the Software is -furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all -copies or substantial portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE -SOFTWARE. +MIT License + +Copyright (c) 2019 Anson Biggs + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/README.md b/README.md index 97c4331..4e640d5 100644 --- a/README.md +++ b/README.md @@ -1,32 +1,32 @@ -# Simple Telegram Stock Bot - - -[](https://t.me/SimpleStockBot) -[](/LICENSE) -[](https://ansonbiggs.com) - -## Docs - -https://docs.simplestockbot.com/ - -## Usage - -https://docs.simplestockbot.com/commands/ - -## Donate - -Simple Stock Bot is run entirely on donations, and costs about $420 a year to run. All donations go directly towards paying for servers, and premium market data provided by [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo). - -The best way to donate is through [Buy Me A Coffee](https://www.buymeacoffee.com/Anson) which accepts Paypal or Credit card. - -Alternatively, you can donate on Telegram with the `/donate` [command](commands.md#donate-amount-in-usd). - -If you have any questions get in [touch.](contact.md) - -## Other Ways to Help: - -- Follow me on [twitter](https://twitter.com/AnsonBiggs) -- Contribute to the project on [GitLab](https://gitlab.com/simple-stock-bots) or just leave a star -- Using my referral links to host your own Bot - - [DigitalOcean](https://m.do.co/c/6b5df7ef55b6) - - [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo) +# Simple Telegram Stock Bot + + +[](https://t.me/SimpleStockBot) +[](/LICENSE) +[](https://ansonbiggs.com) + +## Docs + +https://docs.simplestockbot.com/ + +## Usage + +https://docs.simplestockbot.com/commands/ + +## Donate + +Simple Stock Bot is run entirely on donations, and costs about $420 a year to run. All donations go directly towards paying for servers, and premium market data provided by [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo). + +The best way to donate is through [Buy Me A Coffee](https://www.buymeacoffee.com/Anson) which accepts Paypal or Credit card. + +Alternatively, you can donate on Telegram with the `/donate` [command](commands.md#donate-amount-in-usd). + +If you have any questions get in [touch.](contact.md) + +## Other Ways to Help: + +- Follow me on [twitter](https://twitter.com/AnsonBiggs) +- Contribute to the project on [GitLab](https://gitlab.com/simple-stock-bots) or just leave a star +- Using my referral links to host your own Bot + - [DigitalOcean](https://m.do.co/c/6b5df7ef55b6) + - [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo) diff --git a/common/MarketData.py b/common/MarketData.py index cdde21e..b7316ac 100644 --- a/common/MarketData.py +++ b/common/MarketData.py @@ -1,269 +1,269 @@ -import datetime as dt -import logging -import os -from typing import Dict - -import pandas as pd -import pytz -import requests as r -import schedule - -from common.Symbol import Stock - -log = logging.getLogger(__name__) - - -class MarketData: - """ - Functions for finding stock market information about symbols from MarkData.app - """ - - SYMBOL_REGEX = "[$]([a-zA-Z]{1,4})" - - charts: Dict[Stock, pd.DataFrame] = {} - - openTime = dt.time(hour=9, minute=30, second=0) - marketTimeZone = pytz.timezone("US/Eastern") - - def __init__(self) -> None: - """Creates a Symbol Object - - Parameters - ---------- - MARKETDATA_TOKEN : str - MarketData.app API Token - """ - - try: - self.MARKETDATA_TOKEN = os.environ["MARKETDATA"] - - if self.MARKETDATA_TOKEN == "TOKEN": - self.MARKETDATA_TOKEN = "" - except KeyError: - self.MARKETDATA_TOKEN = "" - log.warning("Starting without an MarketData.app Token will not allow you to get market data!") - log.warning("Use this affiliate link so that the bot can stay free:") - log.warning("https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo") - - if self.MARKETDATA_TOKEN != "": - schedule.every().day.do(self.clear_charts) - - def get(self, endpoint, params: dict = {}, timeout=10) -> dict: - url = "https://api.marketdata.app/v1/" + endpoint - - # set token param if it wasn't passed. - params["token"] = self.MARKETDATA_TOKEN - - # Undocumented query variable that ensures bot usage can be - # monitored even if someone doesn't make it through an affiliate link. - params["application"] = "simplestockbot" - - resp = r.get(url, params=params, timeout=timeout) - - # Make sure API returned a proper status code - try: - resp.raise_for_status() - except r.exceptions.HTTPError as e: - logging.error(e) - return {} - - # Make sure API returned valid JSON - try: - resp_json = resp.json() - - match resp_json["s"]: - case "ok": - return resp_json - case "no_data": - return resp_json - case "error": - logging.error("MarketData Error:\n" + resp_json["errmsg"]) - return {} - - except r.exceptions.JSONDecodeError as e: - logging.error(e) - - return {} - - def clear_charts(self) -> None: - """ - Clears cache of chart data. - Charts are cached so that only 1 API call per 24 hours is needed since the - chart data is expensive and a large download. - """ - self.charts = {} - - def status(self) -> str: - # TODO: At the moment this API is poorly documented, this function likely needs to be revisited later. - - try: - status = r.get( - "https://stats.uptimerobot.com/api/getMonitorList/6Kv3zIow0A", - timeout=5, - ) - status.raise_for_status() - except r.HTTPError: - return f"API returned an HTTP error code {status.status_code} in {status.elapsed.total_seconds()} seconds." - except r.Timeout: - return "API timed out before it was able to give status. This is likely due to a surge in usage or a complete outage." - - statusJSON = status.json() - - if statusJSON["status"] == "ok": - return ( - f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} seconds." - ) - else: - return f"MarketData.app is currently reporting the following status: {statusJSON['status']}" - - def price_reply(self, symbol: Stock) -> str: - """Returns price movement of Stock for the last market day, or after hours. - - Parameters - ---------- - symbol : Stock - - Returns - ------- - str - Formatted markdown - """ - - if quoteResp := self.get(f"stocks/quotes/{symbol}/"): - price = round(quoteResp["last"][0], 2) - - try: - changePercent = round(quoteResp["changepct"][0], 2) - except TypeError: - return f"The price of {symbol} is {price}" - - message = f"The current price of {symbol.name} is ${price} and " - - if changePercent > 0.0: - message += f"is currently up {changePercent}% for the day." - elif changePercent < 0.0: - message += f"is currently down {changePercent}% for the day." - else: - message += "hasn't shown any movement for the day." - - return message - else: - return f"Getting a quote for {symbol} encountered an error." - - def spark_reply(self, symbol: Stock) -> str: - if quoteResp := self.get(f"stocks/quotes/{symbol}/"): - try: - changePercent = round(quoteResp["changepct"][0], 2) - return f"`{symbol.tag}`: {changePercent}%" - except TypeError: - pass - - return f"`{symbol.tag}`" - - def intra_reply(self, symbol: Stock) -> pd.DataFrame: - """Returns price data for a symbol of the past month up until the previous trading days close. - Also caches multiple requests made in the same day. - - Parameters - ---------- - symbol : str - Stock symbol. - - Returns - ------- - pd.DataFrame - Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame. - """ - schedule.run_pending() - - try: - return self.charts[symbol.id.upper()] - except KeyError: - pass - - resolution = "15" # minutes - now = dt.datetime.now(self.marketTimeZone) - - if self.openTime < now.time(): - startTime = now.replace(hour=9, minute=30) - else: - startTime = now - dt.timedelta(days=1) - - if data := self.get( - f"stocks/candles/{resolution}/{symbol}", - params={"from": startTime.timestamp(), "to": now.timestamp(), "extended": True}, - ): - data.pop("s") - df = pd.DataFrame(data) - df["t"] = pd.to_datetime(df["t"], unit="s", utc=True) - df.set_index("t", inplace=True) - - df.rename( - columns={ - "o": "Open", - "h": "High", - "l": "Low", - "c": "Close", - "v": "Volume", - }, - inplace=True, - ) - - self.charts[symbol.id.upper()] = df - return df - - return pd.DataFrame() - - def chart_reply(self, symbol: Stock) -> pd.DataFrame: - """Returns price data for a symbol of the past month up until the previous trading days close. - Also caches multiple requests made in the same day. - - Parameters - ---------- - symbol : str - Stock symbol. - - Returns - ------- - pd.DataFrame - Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame. - """ - schedule.run_pending() - - try: - return self.charts[symbol.id.upper()] - except KeyError: - pass - - to_date = dt.datetime.today().strftime("%Y-%m-%d") - from_date = (dt.datetime.today() - dt.timedelta(days=30)).strftime("%Y-%m-%d") - resultion = "daily" - - if data := self.get( - f"stocks/candles/{resultion}/{symbol}", - params={ - "from": from_date, - "to": to_date, - }, - ): - data.pop("s") - - df = pd.DataFrame(data) - df["t"] = pd.to_datetime(df["t"], unit="s") - df.set_index("t", inplace=True) - - df.rename( - columns={ - "o": "Open", - "h": "High", - "l": "Low", - "c": "Close", - "v": "Volume", - }, - inplace=True, - ) - - self.charts[symbol.id.upper()] = df - return df - - return pd.DataFrame() +import datetime as dt +import logging +import os +from typing import Dict + +import pandas as pd +import pytz +import requests as r +import schedule + +from common.Symbol import Stock + +log = logging.getLogger(__name__) + + +class MarketData: + """ + Functions for finding stock market information about symbols from MarkData.app + """ + + SYMBOL_REGEX = "[$]([a-zA-Z]{1,4})" + + charts: Dict[Stock, pd.DataFrame] = {} + + openTime = dt.time(hour=9, minute=30, second=0) + marketTimeZone = pytz.timezone("US/Eastern") + + def __init__(self) -> None: + """Creates a Symbol Object + + Parameters + ---------- + MARKETDATA_TOKEN : str + MarketData.app API Token + """ + + try: + self.MARKETDATA_TOKEN = os.environ["MARKETDATA"] + + if self.MARKETDATA_TOKEN == "TOKEN": + self.MARKETDATA_TOKEN = "" + except KeyError: + self.MARKETDATA_TOKEN = "" + log.warning("Starting without an MarketData.app Token will not allow you to get market data!") + log.warning("Use this affiliate link so that the bot can stay free:") + log.warning("https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo") + + if self.MARKETDATA_TOKEN != "": + schedule.every().day.do(self.clear_charts) + + def get(self, endpoint, params: dict = {}, timeout=10) -> dict: + url = "https://api.marketdata.app/v1/" + endpoint + + # set token param if it wasn't passed. + params["token"] = self.MARKETDATA_TOKEN + + # Undocumented query variable that ensures bot usage can be + # monitored even if someone doesn't make it through an affiliate link. + params["application"] = "simplestockbot" + + resp = r.get(url, params=params, timeout=timeout) + + # Make sure API returned a proper status code + try: + resp.raise_for_status() + except r.exceptions.HTTPError as e: + logging.error(e) + return {} + + # Make sure API returned valid JSON + try: + resp_json = resp.json() + + match resp_json["s"]: + case "ok": + return resp_json + case "no_data": + return resp_json + case "error": + logging.error("MarketData Error:\n" + resp_json["errmsg"]) + return {} + + except r.exceptions.JSONDecodeError as e: + logging.error(e) + + return {} + + def clear_charts(self) -> None: + """ + Clears cache of chart data. + Charts are cached so that only 1 API call per 24 hours is needed since the + chart data is expensive and a large download. + """ + self.charts = {} + + def status(self) -> str: + # TODO: At the moment this API is poorly documented, this function likely needs to be revisited later. + + try: + status = r.get( + "https://stats.uptimerobot.com/api/getMonitorList/6Kv3zIow0A", + timeout=5, + ) + status.raise_for_status() + except r.HTTPError: + return f"API returned an HTTP error code {status.status_code} in {status.elapsed.total_seconds()} seconds." + except r.Timeout: + return "API timed out before it was able to give status. This is likely due to a surge in usage or a complete outage." + + statusJSON = status.json() + + if statusJSON["status"] == "ok": + return ( + f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} seconds." + ) + else: + return f"MarketData.app is currently reporting the following status: {statusJSON['status']}" + + def price_reply(self, symbol: Stock) -> str: + """Returns price movement of Stock for the last market day, or after hours. + + Parameters + ---------- + symbol : Stock + + Returns + ------- + str + Formatted markdown + """ + + if quoteResp := self.get(f"stocks/quotes/{symbol}/"): + price = round(quoteResp["last"][0], 2) + + try: + changePercent = round(quoteResp["changepct"][0], 2) + except TypeError: + return f"The price of {symbol} is {price}" + + message = f"The current price of {symbol.name} is ${price} and " + + if changePercent > 0.0: + message += f"is currently up {changePercent}% for the day." + elif changePercent < 0.0: + message += f"is currently down {changePercent}% for the day." + else: + message += "hasn't shown any movement for the day." + + return message + else: + return f"Getting a quote for {symbol} encountered an error." + + def spark_reply(self, symbol: Stock) -> str: + if quoteResp := self.get(f"stocks/quotes/{symbol}/"): + try: + changePercent = round(quoteResp["changepct"][0], 2) + return f"`{symbol.tag}`: {changePercent}%" + except TypeError: + pass + + return f"`{symbol.tag}`" + + def intra_reply(self, symbol: Stock) -> pd.DataFrame: + """Returns price data for a symbol of the past month up until the previous trading days close. + Also caches multiple requests made in the same day. + + Parameters + ---------- + symbol : str + Stock symbol. + + Returns + ------- + pd.DataFrame + Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame. + """ + schedule.run_pending() + + try: + return self.charts[symbol.id.upper()] + except KeyError: + pass + + resolution = "15" # minutes + now = dt.datetime.now(self.marketTimeZone) + + if self.openTime < now.time(): + startTime = now.replace(hour=9, minute=30) + else: + startTime = now - dt.timedelta(days=1) + + if data := self.get( + f"stocks/candles/{resolution}/{symbol}", + params={"from": startTime.timestamp(), "to": now.timestamp(), "extended": True}, + ): + data.pop("s") + df = pd.DataFrame(data) + df["t"] = pd.to_datetime(df["t"], unit="s", utc=True) + df.set_index("t", inplace=True) + + df.rename( + columns={ + "o": "Open", + "h": "High", + "l": "Low", + "c": "Close", + "v": "Volume", + }, + inplace=True, + ) + + self.charts[symbol.id.upper()] = df + return df + + return pd.DataFrame() + + def chart_reply(self, symbol: Stock) -> pd.DataFrame: + """Returns price data for a symbol of the past month up until the previous trading days close. + Also caches multiple requests made in the same day. + + Parameters + ---------- + symbol : str + Stock symbol. + + Returns + ------- + pd.DataFrame + Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame. + """ + schedule.run_pending() + + try: + return self.charts[symbol.id.upper()] + except KeyError: + pass + + to_date = dt.datetime.today().strftime("%Y-%m-%d") + from_date = (dt.datetime.today() - dt.timedelta(days=30)).strftime("%Y-%m-%d") + resultion = "daily" + + if data := self.get( + f"stocks/candles/{resultion}/{symbol}", + params={ + "from": from_date, + "to": to_date, + }, + ): + data.pop("s") + + df = pd.DataFrame(data) + df["t"] = pd.to_datetime(df["t"], unit="s") + df.set_index("t", inplace=True) + + df.rename( + columns={ + "o": "Open", + "h": "High", + "l": "Low", + "c": "Close", + "v": "Volume", + }, + inplace=True, + ) + + self.charts[symbol.id.upper()] = df + return df + + return pd.DataFrame() diff --git a/common/Symbol.py b/common/Symbol.py index 0080cc3..79a8988 100644 --- a/common/Symbol.py +++ b/common/Symbol.py @@ -1,50 +1,50 @@ -import pandas as pd -import logging - - -class Symbol: - """ - symbol: What the user calls it. ie tsla or btc - id: What the api expects. ie tsla or bitcoin - name: Human readable. ie Tesla or Bitcoin - tag: Uppercase tag to call the symbol. ie $TSLA or $$BTC - """ - - currency = "usd" - pass - - def __init__(self, symbol) -> None: - self.symbol = symbol - self.id = symbol - self.name = symbol - self.tag = "$" + symbol - - def __repr__(self) -> str: - return f"<{self.__class__.__name__} instance of {self.id} at {id(self)}>" - - def __str__(self) -> str: - return self.id - - -class Stock(Symbol): - """Stock Market Object. Gets data from MarketData""" - - def __init__(self, symbol: str) -> None: - self.symbol = symbol - self.id = symbol - self.name = "$" + symbol.upper() - self.tag = "$" + symbol.lower() - - -class Coin(Symbol): - """Cryptocurrency Object. Gets data from CoinGecko.""" - - def __init__(self, symbol: pd.DataFrame) -> None: - if len(symbol) > 1: - logging.info(f"Crypto with shared id:\n\t{symbol.id}") - symbol = symbol.head(1) - - self.symbol = symbol.symbol.values[0] - self.id = symbol.id.values[0] - self.name = symbol.name.values[0] - self.tag = symbol.type_id.values[0].upper() +import pandas as pd +import logging + + +class Symbol: + """ + symbol: What the user calls it. ie tsla or btc + id: What the api expects. ie tsla or bitcoin + name: Human readable. ie Tesla or Bitcoin + tag: Uppercase tag to call the symbol. ie $TSLA or $$BTC + """ + + currency = "usd" + pass + + def __init__(self, symbol) -> None: + self.symbol = symbol + self.id = symbol + self.name = symbol + self.tag = "$" + symbol + + def __repr__(self) -> str: + return f"<{self.__class__.__name__} instance of {self.id} at {id(self)}>" + + def __str__(self) -> str: + return self.id + + +class Stock(Symbol): + """Stock Market Object. Gets data from MarketData""" + + def __init__(self, symbol: str) -> None: + self.symbol = symbol + self.id = symbol + self.name = "$" + symbol.upper() + self.tag = "$" + symbol.lower() + + +class Coin(Symbol): + """Cryptocurrency Object. Gets data from CoinGecko.""" + + def __init__(self, symbol: pd.DataFrame) -> None: + if len(symbol) > 1: + logging.info(f"Crypto with shared id:\n\t{symbol.id}") + symbol = symbol.head(1) + + self.symbol = symbol.symbol.values[0] + self.id = symbol.id.values[0] + self.name = symbol.name.values[0] + self.tag = symbol.type_id.values[0].upper() diff --git a/common/cg_Crypto.py b/common/cg_Crypto.py index dad38d0..8403fc5 100644 --- a/common/cg_Crypto.py +++ b/common/cg_Crypto.py @@ -1,367 +1,367 @@ -import logging -from typing import List - -import pandas as pd -import requests as r -import schedule -from markdownify import markdownify - -from common.Symbol import Coin - -log = logging.getLogger(__name__) - - -class cg_Crypto: - """ - Functions for finding crypto info - """ - - vs_currency = "usd" # simple/supported_vs_currencies for list of options - - trending_cache: List[str] = [] - - def __init__(self) -> None: - self.get_symbol_list() - schedule.every().day.do(self.get_symbol_list) - - def get(self, endpoint, params: dict = {}, timeout=10) -> dict: - url = "https://api.coingecko.com/api/v3" + endpoint - resp = r.get(url, params=params, timeout=timeout) - # Make sure API returned a proper status code - try: - resp.raise_for_status() - except r.exceptions.HTTPError as e: - log.error(e) - return {} - - # Make sure API returned valid JSON - try: - resp_json = resp.json() - return resp_json - except r.exceptions.JSONDecodeError as e: - log.error(e) - return {} - - def symbol_id(self, symbol) -> str: - try: - return self.symbol_list[self.symbol_list["symbol"] == symbol]["id"].values[0] - except KeyError: - return "" - - def get_symbol_list(self): - raw_symbols = self.get("/coins/list") - symbols = pd.DataFrame(data=raw_symbols) - - # Removes all binance-peg symbols - symbols = symbols[~symbols["id"].str.contains("binance-peg")] - - symbols["description"] = "$$" + symbols["symbol"].str.upper() + ": " + symbols["name"] - symbols = symbols[["id", "symbol", "name", "description"]] - symbols["type_id"] = "$$" + symbols["symbol"] - - self.symbol_list = symbols - - def status(self) -> str: - """Checks CoinGecko /ping endpoint for API issues. - - Returns - ------- - str - Human readable text on status of CoinGecko API - """ - status = r.get( - "https://api.coingecko.com/api/v3/ping", - timeout=5, - ) - - try: - status.raise_for_status() - return ( - f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} seconds." - ) - except r.HTTPError: - return f"CoinGecko API returned an error code {status.status_code} in {status.elapsed.total_seconds()} seconds." - - def price_reply(self, coin: Coin) -> str: - """Returns current market price or after hours if its available for a given coin symbol. - - Parameters - ---------- - symbols : list - List of coin symbols. - - Returns - ------- - Dict[str, str] - Each symbol passed in is a key with its value being a human readable - markdown formatted string of the symbols price and movement. - """ - - if resp := self.get( - "/simple/price", - params={ - "ids": coin.id, - "vs_currencies": self.vs_currency, - "include_24hr_change": "true", - }, - ): - try: - data = resp[coin.id] - - price = data[self.vs_currency] - change = data[self.vs_currency + "_24h_change"] - if change is None: - change = 0 - except KeyError: - return f"{coin.id} returned an error." - - message = f"The current price of {coin.name} is $**{price:,}**" - - # Determine wording of change text - if change > 0: - message += f", the coin is currently **up {change:.3f}%** for today" - elif change < 0: - message += f", the coin is currently **down {change:.3f}%** for today" - else: - message += ", the coin hasn't shown any movement today." - - else: - message = f"The price for {coin.name} is not available. If you suspect this is an error run `/status`" - - return message - - def intra_reply(self, symbol: Coin) -> pd.DataFrame: - """Returns price data for a symbol since the last market open. - - Parameters - ---------- - symbol : str - Stock symbol. - - Returns - ------- - pd.DataFrame - Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame. - """ - - if resp := self.get( - f"/coins/{symbol.id}/ohlc", - params={"vs_currency": self.vs_currency, "days": 1}, - ): - df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna() - df["Date"] = pd.to_datetime(df["Date"], unit="ms") - df = df.set_index("Date") - return df - - return pd.DataFrame() - - def chart_reply(self, symbol: Coin) -> pd.DataFrame: - """Returns price data for a symbol of the past month up until the previous trading days close. - Also caches multiple requests made in the same day. - - Parameters - ---------- - symbol : str - Stock symbol. - - Returns - ------- - pd.DataFrame - Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame. - """ - - if resp := self.get( - f"/coins/{symbol.id}/ohlc", - params={"vs_currency": self.vs_currency, "days": 30}, - ): - df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna() - df["Date"] = pd.to_datetime(df["Date"], unit="ms") - df = df.set_index("Date") - return df - - return pd.DataFrame() - - def stat_reply(self, symbol: Coin) -> str: - """Gathers key statistics on coin. Mostly just CoinGecko scores. - - Parameters - ---------- - symbol : Coin - - Returns - ------- - str - Preformatted markdown. - """ - - if data := self.get( - f"/coins/{symbol.id}", - params={ - "localization": "false", - }, - ): - return f""" - [{data['name']}]({data['links']['homepage'][0]}) Statistics: - Market Cap: ${data['market_data']['market_cap'][self.vs_currency]:,} - Market Cap Ranking: {data.get('market_cap_rank',"Not Available")} - CoinGecko Scores: - Overall: {data.get('coingecko_score','Not Available')} - Development: {data.get('developer_score','Not Available')} - Community: {data.get('community_score','Not Available')} - Public Interest: {data.get('public_interest_score','Not Available')} - """ - else: - return f"{symbol.symbol} returned an error." - - def cap_reply(self, coin: Coin) -> str: - """Gets market cap for Coin - - Parameters - ---------- - coin : Coin - - Returns - ------- - str - Preformatted markdown. - """ - - if resp := self.get( - "/simple/price", - params={ - "ids": coin.id, - "vs_currencies": self.vs_currency, - "include_market_cap": "true", - }, - ): - log.debug(resp) - try: - data = resp[coin.id] - - price = data[self.vs_currency] - cap = data[self.vs_currency + "_market_cap"] - except KeyError: - return f"{coin.id} returned an error." - - if cap == 0: - return f"The market cap for {coin.name} is not available for unknown reasons." - - message = ( - f"The current price of {coin.name} is $**{price:,}** and" - + " its market cap is $**{cap:,.2f}** {self.vs_currency.upper()}" - ) - - else: - message = f"The Coin: {coin.name} was not found or returned and error." - - return message - - def info_reply(self, symbol: Coin) -> str: - """Gets coin description - - Parameters - ---------- - symbol : Coin - - Returns - ------- - str - Preformatted markdown. - """ - - if data := self.get( - f"/coins/{symbol.id}", - params={"localization": "false"}, - ): - try: - return markdownify(data["description"]["en"]) - except KeyError: - return f"{symbol} does not have a description available." - - return f"No information found for: {symbol}\nEither today is boring or the symbol does not exist." - - def spark_reply(self, symbol: Coin) -> str: - change = self.get( - "/simple/price", - params={ - "ids": symbol.id, - "vs_currencies": self.vs_currency, - "include_24hr_change": "true", - }, - )[symbol.id]["usd_24h_change"] - - return f"`{symbol.tag}`: {symbol.name}, {change:.2f}%" - - def trending(self) -> list[str]: - """Gets current coins trending on coingecko - - Returns - ------- - list[str] - list of $$ID: NAME, CHANGE% - """ - - coins = self.get("/search/trending") - try: - trending = [] - for coin in coins["coins"]: - c = coin["item"] - - sym = c["symbol"].upper() - name = c["name"] - change = self.get( - "/simple/price", - params={ - "ids": c["id"], - "vs_currencies": self.vs_currency, - "include_24hr_change": "true", - }, - )[c["id"]]["usd_24h_change"] - - msg = f"`$${sym}`: {name}, {change:.2f}%" - - trending.append(msg) - - except Exception as e: - log.warning(e) - return self.trending_cache - - self.trending_cache = trending - return trending - - def batch_price(self, coins: list[Coin]) -> list[str]: - """Gets price of a list of coins all in one API call - - Parameters - ---------- - coins : list[Coin] - - Returns - ------- - list[str] - returns preformatted list of strings detailing price movement of each coin passed in. - """ - query = ",".join([c.id for c in coins]) - - prices = self.get( - "/simple/price", - params={ - "ids": query, - "vs_currencies": self.vs_currency, - "include_24hr_change": "true", - }, - ) - - replies = [] - for coin in coins: - if coin.id in prices: - p = prices[coin.id] - - if p.get("usd_24h_change") is None: - p["usd_24h_change"] = 0 - - replies.append( - f"{coin.name}: ${p.get('usd',0):,} and has moved {p.get('usd_24h_change',0.0):.2f}% in the past 24 hours." - ) - - return replies +import logging +from typing import List + +import pandas as pd +import requests as r +import schedule +from markdownify import markdownify + +from common.Symbol import Coin + +log = logging.getLogger(__name__) + + +class cg_Crypto: + """ + Functions for finding crypto info + """ + + vs_currency = "usd" # simple/supported_vs_currencies for list of options + + trending_cache: List[str] = [] + + def __init__(self) -> None: + self.get_symbol_list() + schedule.every().day.do(self.get_symbol_list) + + def get(self, endpoint, params: dict = {}, timeout=10) -> dict: + url = "https://api.coingecko.com/api/v3" + endpoint + resp = r.get(url, params=params, timeout=timeout) + # Make sure API returned a proper status code + try: + resp.raise_for_status() + except r.exceptions.HTTPError as e: + log.error(e) + return {} + + # Make sure API returned valid JSON + try: + resp_json = resp.json() + return resp_json + except r.exceptions.JSONDecodeError as e: + log.error(e) + return {} + + def symbol_id(self, symbol) -> str: + try: + return self.symbol_list[self.symbol_list["symbol"] == symbol]["id"].values[0] + except KeyError: + return "" + + def get_symbol_list(self): + raw_symbols = self.get("/coins/list") + symbols = pd.DataFrame(data=raw_symbols) + + # Removes all binance-peg symbols + symbols = symbols[~symbols["id"].str.contains("binance-peg")] + + symbols["description"] = "$$" + symbols["symbol"].str.upper() + ": " + symbols["name"] + symbols = symbols[["id", "symbol", "name", "description"]] + symbols["type_id"] = "$$" + symbols["symbol"] + + self.symbol_list = symbols + + def status(self) -> str: + """Checks CoinGecko /ping endpoint for API issues. + + Returns + ------- + str + Human readable text on status of CoinGecko API + """ + status = r.get( + "https://api.coingecko.com/api/v3/ping", + timeout=5, + ) + + try: + status.raise_for_status() + return ( + f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} seconds." + ) + except r.HTTPError: + return f"CoinGecko API returned an error code {status.status_code} in {status.elapsed.total_seconds()} seconds." + + def price_reply(self, coin: Coin) -> str: + """Returns current market price or after hours if its available for a given coin symbol. + + Parameters + ---------- + symbols : list + List of coin symbols. + + Returns + ------- + Dict[str, str] + Each symbol passed in is a key with its value being a human readable + markdown formatted string of the symbols price and movement. + """ + + if resp := self.get( + "/simple/price", + params={ + "ids": coin.id, + "vs_currencies": self.vs_currency, + "include_24hr_change": "true", + }, + ): + try: + data = resp[coin.id] + + price = data[self.vs_currency] + change = data[self.vs_currency + "_24h_change"] + if change is None: + change = 0 + except KeyError: + return f"{coin.id} returned an error." + + message = f"The current price of {coin.name} is $**{price:,}**" + + # Determine wording of change text + if change > 0: + message += f", the coin is currently **up {change:.3f}%** for today" + elif change < 0: + message += f", the coin is currently **down {change:.3f}%** for today" + else: + message += ", the coin hasn't shown any movement today." + + else: + message = f"The price for {coin.name} is not available. If you suspect this is an error run `/status`" + + return message + + def intra_reply(self, symbol: Coin) -> pd.DataFrame: + """Returns price data for a symbol since the last market open. + + Parameters + ---------- + symbol : str + Stock symbol. + + Returns + ------- + pd.DataFrame + Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame. + """ + + if resp := self.get( + f"/coins/{symbol.id}/ohlc", + params={"vs_currency": self.vs_currency, "days": 1}, + ): + df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna() + df["Date"] = pd.to_datetime(df["Date"], unit="ms") + df = df.set_index("Date") + return df + + return pd.DataFrame() + + def chart_reply(self, symbol: Coin) -> pd.DataFrame: + """Returns price data for a symbol of the past month up until the previous trading days close. + Also caches multiple requests made in the same day. + + Parameters + ---------- + symbol : str + Stock symbol. + + Returns + ------- + pd.DataFrame + Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame. + """ + + if resp := self.get( + f"/coins/{symbol.id}/ohlc", + params={"vs_currency": self.vs_currency, "days": 30}, + ): + df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna() + df["Date"] = pd.to_datetime(df["Date"], unit="ms") + df = df.set_index("Date") + return df + + return pd.DataFrame() + + def stat_reply(self, symbol: Coin) -> str: + """Gathers key statistics on coin. Mostly just CoinGecko scores. + + Parameters + ---------- + symbol : Coin + + Returns + ------- + str + Preformatted markdown. + """ + + if data := self.get( + f"/coins/{symbol.id}", + params={ + "localization": "false", + }, + ): + return f""" + [{data['name']}]({data['links']['homepage'][0]}) Statistics: + Market Cap: ${data['market_data']['market_cap'][self.vs_currency]:,} + Market Cap Ranking: {data.get('market_cap_rank',"Not Available")} + CoinGecko Scores: + Overall: {data.get('coingecko_score','Not Available')} + Development: {data.get('developer_score','Not Available')} + Community: {data.get('community_score','Not Available')} + Public Interest: {data.get('public_interest_score','Not Available')} + """ + else: + return f"{symbol.symbol} returned an error." + + def cap_reply(self, coin: Coin) -> str: + """Gets market cap for Coin + + Parameters + ---------- + coin : Coin + + Returns + ------- + str + Preformatted markdown. + """ + + if resp := self.get( + "/simple/price", + params={ + "ids": coin.id, + "vs_currencies": self.vs_currency, + "include_market_cap": "true", + }, + ): + log.debug(resp) + try: + data = resp[coin.id] + + price = data[self.vs_currency] + cap = data[self.vs_currency + "_market_cap"] + except KeyError: + return f"{coin.id} returned an error." + + if cap == 0: + return f"The market cap for {coin.name} is not available for unknown reasons." + + message = ( + f"The current price of {coin.name} is $**{price:,}** and" + + " its market cap is $**{cap:,.2f}** {self.vs_currency.upper()}" + ) + + else: + message = f"The Coin: {coin.name} was not found or returned and error." + + return message + + def info_reply(self, symbol: Coin) -> str: + """Gets coin description + + Parameters + ---------- + symbol : Coin + + Returns + ------- + str + Preformatted markdown. + """ + + if data := self.get( + f"/coins/{symbol.id}", + params={"localization": "false"}, + ): + try: + return markdownify(data["description"]["en"]) + except KeyError: + return f"{symbol} does not have a description available." + + return f"No information found for: {symbol}\nEither today is boring or the symbol does not exist." + + def spark_reply(self, symbol: Coin) -> str: + change = self.get( + "/simple/price", + params={ + "ids": symbol.id, + "vs_currencies": self.vs_currency, + "include_24hr_change": "true", + }, + )[symbol.id]["usd_24h_change"] + + return f"`{symbol.tag}`: {symbol.name}, {change:.2f}%" + + def trending(self) -> list[str]: + """Gets current coins trending on coingecko + + Returns + ------- + list[str] + list of $$ID: NAME, CHANGE% + """ + + coins = self.get("/search/trending") + try: + trending = [] + for coin in coins["coins"]: + c = coin["item"] + + sym = c["symbol"].upper() + name = c["name"] + change = self.get( + "/simple/price", + params={ + "ids": c["id"], + "vs_currencies": self.vs_currency, + "include_24hr_change": "true", + }, + )[c["id"]]["usd_24h_change"] + + msg = f"`$${sym}`: {name}, {change:.2f}%" + + trending.append(msg) + + except Exception as e: + log.warning(e) + return self.trending_cache + + self.trending_cache = trending + return trending + + def batch_price(self, coins: list[Coin]) -> list[str]: + """Gets price of a list of coins all in one API call + + Parameters + ---------- + coins : list[Coin] + + Returns + ------- + list[str] + returns preformatted list of strings detailing price movement of each coin passed in. + """ + query = ",".join([c.id for c in coins]) + + prices = self.get( + "/simple/price", + params={ + "ids": query, + "vs_currencies": self.vs_currency, + "include_24hr_change": "true", + }, + ) + + replies = [] + for coin in coins: + if coin.id in prices: + p = prices[coin.id] + + if p.get("usd_24h_change") is None: + p["usd_24h_change"] = 0 + + replies.append( + f"{coin.name}: ${p.get('usd',0):,} and has moved {p.get('usd_24h_change',0.0):.2f}% in the past 24 hours." + ) + + return replies diff --git a/common/requirements.txt b/common/requirements.txt new file mode 100644 index 0000000..43b172f --- /dev/null +++ b/common/requirements.txt @@ -0,0 +1,6 @@ +requests==2.31.0 +pandas==2.1.1 +schedule==1.2.1 +mplfinance==0.12.10b0 +markdownify==0.11.6 +cachetools==5.3.1 diff --git a/common/symbol_router.py b/common/symbol_router.py index c0ec4ca..be44f0d 100644 --- a/common/symbol_router.py +++ b/common/symbol_router.py @@ -1,395 +1,395 @@ -"""Function that routes symbols to the correct API provider. -""" - -import datetime -import logging -import random -import re - -import pandas as pd -import schedule -from cachetools import TTLCache, cached - -from common.cg_Crypto import cg_Crypto -from common.MarketData import MarketData -from common.Symbol import Coin, Stock, Symbol - -from typing import Dict - -log = logging.getLogger(__name__) - - -class Router: - STOCK_REGEX = "(?:^|[^\\$])\\$([a-zA-Z.]{1,6})" - CRYPTO_REGEX = "[$]{2}([a-zA-Z]{1,20})" - trending_count: Dict[str, float] = {} - - def __init__(self): - self.stock = MarketData() - self.crypto = cg_Crypto() - - schedule.every().hour.do(self.trending_decay) - - def trending_decay(self, decay=0.5): - """Decays the value of each trending stock by a multiplier""" - t_copy = {} - dead_keys = [] - if self.trending_count: - t_copy = self.trending_count.copy() - for key in t_copy.keys(): - if t_copy[key] < 0.01: - # This just makes sure were not keeping around keys that havent been called in a very long time. - dead_keys.append(key) - else: - t_copy[key] = t_copy[key] * decay - for dead in dead_keys: - t_copy.pop(dead) - - self.trending_count = t_copy.copy() - log.info("Decayed trending symbols.") - - def find_symbols(self, text: str, *, trending_weight: int = 1) -> list[Stock | Symbol]: - """Finds stock tickers starting with a dollar sign, and cryptocurrencies with two dollar signs - in a blob of text and returns them in a list. - - Parameters - ---------- - text : str - Blob of text. - - Returns - ------- - list[Symbol] - List of stock symbols as Symbol objects - """ - schedule.run_pending() - - symbols: list[Symbol] = [] - stocks = set(re.findall(self.STOCK_REGEX, text)) - for stock in stocks: - # Market data lacks tools to check if a symbol is valid. - symbols.append(Stock(stock)) - - coins = set(re.findall(self.CRYPTO_REGEX, text)) - for coin in coins: - sym = self.crypto.symbol_list[self.crypto.symbol_list["symbol"].str.fullmatch(coin.lower(), case=False)] - if sym.empty: - log.info(f"{coin} is not in list of coins") - else: - symbols.append(Coin(sym)) - if symbols: - for symbol in symbols: - self.trending_count[symbol.tag] = self.trending_count.get(symbol.tag, 0) + trending_weight - log.debug(self.trending_count) - - return symbols - - def status(self, bot_resp) -> str: - """Checks for any issues with APIs. - - Returns - ------- - str - Human readable text on status of the bot and relevant APIs - """ - - stats = f""" - Bot Status: - {bot_resp} - - Stock Market Data: - {self.stock.status()} - - Cryptocurrency Data: - {self.crypto.status()} - """ - - log.warning(stats) - - return stats - - def inline_search(self, search: str, matches: int = 5) -> pd.DataFrame: - """Searches based on the shortest symbol that contains the same string as the search. - Should be very fast compared to a fuzzy search. - - Parameters - ---------- - search : str - String used to match against symbols. - - Returns - ------- - list[tuple[str, str]] - Each tuple contains: (Symbol, Issue Name). - """ - - # df = pd.concat([self.stock.symbol_list, self.crypto.symbol_list]) - df = self.crypto.symbol_list - - df = df[df["description"].str.contains(search, regex=False, case=False)].sort_values( - by="type_id", key=lambda x: x.str.len() - ) - - symbols = df.head(matches) - symbols["price_reply"] = symbols["type_id"].apply( - lambda sym: self.price_reply(self.find_symbols(sym, trending_weight=0))[0] - ) - - return symbols - - def price_reply(self, symbols: list[Symbol]) -> list[str]: - """Returns current market price or after hours if its available for a given stock symbol. - - Parameters - ---------- - symbols : list - List of stock symbols. - - Returns - ------- - Dict[str, str] - Each symbol passed in is a key with its value being a human readable - markdown formatted string of the symbols price and movement. - """ - replies = [] - - for symbol in symbols: - log.info(symbol) - if isinstance(symbol, Stock): - replies.append(self.stock.price_reply(symbol)) - elif isinstance(symbol, Coin): - replies.append(self.crypto.price_reply(symbol)) - else: - log.info(f"{symbol} is not a Stock or Coin") - - return replies - - def info_reply(self, symbols: list) -> list[str]: - """Gets information on stock symbols. - - Parameters - ---------- - symbols : list[str] - List of stock symbols. - - Returns - ------- - Dict[str, str] - Each symbol passed in is a key with its value being a human readable formatted - string of the symbols information. - """ - replies = [] - - for symbol in symbols: - if isinstance(symbol, Stock): - replies.append(self.stock.info_reply(symbol)) - elif isinstance(symbol, Coin): - replies.append(self.crypto.info_reply(symbol)) - else: - log.debug(f"{symbol} is not a Stock or Coin") - - return replies - - def intra_reply(self, symbol: Symbol) -> pd.DataFrame: - """Returns price data for a symbol since the last market open. - - Parameters - ---------- - symbol : str - Stock symbol. - - Returns - ------- - pd.DataFrame - Returns a timeseries dataframe with high, low, and volume data if its available. - Otherwise returns empty pd.DataFrame. - """ - - if isinstance(symbol, Stock): - return self.stock.intra_reply(symbol) - elif isinstance(symbol, Coin): - return self.crypto.intra_reply(symbol) - else: - log.debug(f"{symbol} is not a Stock or Coin") - return pd.DataFrame() - - def chart_reply(self, symbol: Symbol) -> pd.DataFrame: - """Returns price data for a symbol of the past month up until the previous trading days close. - Also caches multiple requests made in the same day. - - Parameters - ---------- - symbol : str - Stock symbol. - - Returns - ------- - pd.DataFrame - Returns a timeseries dataframe with high, low, and volume data if its available. - Otherwise returns empty pd.DataFrame. - """ - if isinstance(symbol, Stock): - return self.stock.chart_reply(symbol) - elif isinstance(symbol, Coin): - return self.crypto.chart_reply(symbol) - else: - log.debug(f"{symbol} is not a Stock or Coin") - return pd.DataFrame() - - def stat_reply(self, symbols: list[Symbol]) -> list[str]: - """Gets key statistics for each symbol in the list - - Parameters - ---------- - symbols : list[str] - List of stock symbols - - Returns - ------- - Dict[str, str] - Each symbol passed in is a key with its value being a human readable - formatted string of the symbols statistics. - """ - replies = [] - - for symbol in symbols: - if isinstance(symbol, Stock): - replies.append(self.stock.stat_reply(symbol)) - elif isinstance(symbol, Coin): - replies.append(self.crypto.stat_reply(symbol)) - else: - log.debug(f"{symbol} is not a Stock or Coin") - - return replies - - def cap_reply(self, symbols: list[Symbol]) -> list[str]: - """Gets market cap for each symbol in the list - - Parameters - ---------- - symbols : list[str] - List of stock symbols - - Returns - ------- - Dict[str, str] - Each symbol passed in is a key with its value being a human readable - formatted string of the symbols market cap. - """ - replies = [] - - for symbol in symbols: - if isinstance(symbol, Stock): - replies.append(self.stock.cap_reply(symbol)) - elif isinstance(symbol, Coin): - replies.append(self.crypto.cap_reply(symbol)) - else: - log.debug(f"{symbol} is not a Stock or Coin") - - return replies - - def spark_reply(self, symbols: list[Symbol]) -> list[str]: - """Gets change for each symbol and returns it in a compact format - - Parameters - ---------- - symbols : list[str] - List of stock symbols - - Returns - ------- - list[str] - List of human readable strings. - """ - replies = [] - - for symbol in symbols: - if isinstance(symbol, Stock): - replies.append(self.stock.spark_reply(symbol)) - elif isinstance(symbol, Coin): - replies.append(self.crypto.spark_reply(symbol)) - else: - log.debug(f"{symbol} is not a Stock or Coin") - - return replies - - @cached(cache=TTLCache(maxsize=1024, ttl=600)) - def trending(self) -> str: - """Checks APIs for trending symbols. - - Returns - ------- - list[str] - List of preformatted strings to be sent to user. - """ - - # stocks = self.stock.trending() - coins = self.crypto.trending() - - reply = "" - - log.warning(self.trending_count) - if self.trending_count: - reply += "π₯Trending on the Stock Bot:\n`" - reply += "β" * len("Trending on the Stock Bot:") + "`\n" - - sorted_trending = [s[0] for s in sorted(self.trending_count.items(), key=lambda item: item[1])][::-1][0:5] - log.warning(sorted_trending) - for t in sorted_trending: - reply += self.spark_reply(self.find_symbols(t))[0] + "\n" - - if coins: - reply += "\n\nπ¦Trending on CoinGecko:\n`" - reply += "β" * len("Trending on CoinGecko:") + "`\n" - for coin in coins: - reply += coin + "\n" - - if "`$GME" in reply: - reply = reply.replace("π₯", "π¦") - - if reply: - return reply - else: - log.warning("Failed to collect trending data.") - return "Trending data is not currently available." - - def random_pick(self) -> str: - # choice = random.choice(list(self.stock.symbol_list["description"]) + list(self.crypto.symbol_list["description"])) - choice = random.choice(list(self.crypto.symbol_list["description"])) - hold = (datetime.date.today() + datetime.timedelta(random.randint(1, 365))).strftime("%b %d, %Y") - - return f"{choice}\nBuy and hold until: {hold}" - - def batch_price_reply(self, symbols: list[Symbol]) -> list[str]: - """Returns current market price or after hours if its available for a given stock symbol. - - Parameters - ---------- - symbols : list - List of stock symbols. - - Returns - ------- - Dict[str, str] - Each symbol passed in is a key with its value being a human readable - markdown formatted string of the symbols price and movement. - """ - replies = [] - stocks = [] - coins = [] - - for symbol in symbols: - if isinstance(symbol, Stock): - stocks.append(symbol) - elif isinstance(symbol, Coin): - coins.append(symbol) - else: - log.debug(f"{symbol} is not a Stock or Coin") - - if stocks: - for stock in stocks: - replies.append(self.stock.price_reply(stock)) - if coins: - replies = replies + self.crypto.batch_price(coins) - - return replies +"""Function that routes symbols to the correct API provider. +""" + +import datetime +import logging +import random +import re + +import pandas as pd +import schedule +from cachetools import TTLCache, cached + +from common.cg_Crypto import cg_Crypto +from common.MarketData import MarketData +from common.Symbol import Coin, Stock, Symbol + +from typing import Dict + +log = logging.getLogger(__name__) + + +class Router: + STOCK_REGEX = "(?:^|[^\\$])\\$([a-zA-Z.]{1,6})" + CRYPTO_REGEX = "[$]{2}([a-zA-Z]{1,20})" + trending_count: Dict[str, float] = {} + + def __init__(self): + self.stock = MarketData() + self.crypto = cg_Crypto() + + schedule.every().hour.do(self.trending_decay) + + def trending_decay(self, decay=0.5): + """Decays the value of each trending stock by a multiplier""" + t_copy = {} + dead_keys = [] + if self.trending_count: + t_copy = self.trending_count.copy() + for key in t_copy.keys(): + if t_copy[key] < 0.01: + # This just makes sure were not keeping around keys that havent been called in a very long time. + dead_keys.append(key) + else: + t_copy[key] = t_copy[key] * decay + for dead in dead_keys: + t_copy.pop(dead) + + self.trending_count = t_copy.copy() + log.info("Decayed trending symbols.") + + def find_symbols(self, text: str, *, trending_weight: int = 1) -> list[Stock | Symbol]: + """Finds stock tickers starting with a dollar sign, and cryptocurrencies with two dollar signs + in a blob of text and returns them in a list. + + Parameters + ---------- + text : str + Blob of text. + + Returns + ------- + list[Symbol] + List of stock symbols as Symbol objects + """ + schedule.run_pending() + + symbols: list[Symbol] = [] + stocks = set(re.findall(self.STOCK_REGEX, text)) + for stock in stocks: + # Market data lacks tools to check if a symbol is valid. + symbols.append(Stock(stock)) + + coins = set(re.findall(self.CRYPTO_REGEX, text)) + for coin in coins: + sym = self.crypto.symbol_list[self.crypto.symbol_list["symbol"].str.fullmatch(coin.lower(), case=False)] + if sym.empty: + log.info(f"{coin} is not in list of coins") + else: + symbols.append(Coin(sym)) + if symbols: + for symbol in symbols: + self.trending_count[symbol.tag] = self.trending_count.get(symbol.tag, 0) + trending_weight + log.debug(self.trending_count) + + return symbols + + def status(self, bot_resp) -> str: + """Checks for any issues with APIs. + + Returns + ------- + str + Human readable text on status of the bot and relevant APIs + """ + + stats = f""" + Bot Status: + {bot_resp} + + Stock Market Data: + {self.stock.status()} + + Cryptocurrency Data: + {self.crypto.status()} + """ + + log.warning(stats) + + return stats + + def inline_search(self, search: str, matches: int = 5) -> pd.DataFrame: + """Searches based on the shortest symbol that contains the same string as the search. + Should be very fast compared to a fuzzy search. + + Parameters + ---------- + search : str + String used to match against symbols. + + Returns + ------- + list[tuple[str, str]] + Each tuple contains: (Symbol, Issue Name). + """ + + # df = pd.concat([self.stock.symbol_list, self.crypto.symbol_list]) + df = self.crypto.symbol_list + + df = df[df["description"].str.contains(search, regex=False, case=False)].sort_values( + by="type_id", key=lambda x: x.str.len() + ) + + symbols = df.head(matches) + symbols["price_reply"] = symbols["type_id"].apply( + lambda sym: self.price_reply(self.find_symbols(sym, trending_weight=0))[0] + ) + + return symbols + + def price_reply(self, symbols: list[Symbol]) -> list[str]: + """Returns current market price or after hours if its available for a given stock symbol. + + Parameters + ---------- + symbols : list + List of stock symbols. + + Returns + ------- + Dict[str, str] + Each symbol passed in is a key with its value being a human readable + markdown formatted string of the symbols price and movement. + """ + replies = [] + + for symbol in symbols: + log.info(symbol) + if isinstance(symbol, Stock): + replies.append(self.stock.price_reply(symbol)) + elif isinstance(symbol, Coin): + replies.append(self.crypto.price_reply(symbol)) + else: + log.info(f"{symbol} is not a Stock or Coin") + + return replies + + def info_reply(self, symbols: list) -> list[str]: + """Gets information on stock symbols. + + Parameters + ---------- + symbols : list[str] + List of stock symbols. + + Returns + ------- + Dict[str, str] + Each symbol passed in is a key with its value being a human readable formatted + string of the symbols information. + """ + replies = [] + + for symbol in symbols: + if isinstance(symbol, Stock): + replies.append(self.stock.info_reply(symbol)) + elif isinstance(symbol, Coin): + replies.append(self.crypto.info_reply(symbol)) + else: + log.debug(f"{symbol} is not a Stock or Coin") + + return replies + + def intra_reply(self, symbol: Symbol) -> pd.DataFrame: + """Returns price data for a symbol since the last market open. + + Parameters + ---------- + symbol : str + Stock symbol. + + Returns + ------- + pd.DataFrame + Returns a timeseries dataframe with high, low, and volume data if its available. + Otherwise returns empty pd.DataFrame. + """ + + if isinstance(symbol, Stock): + return self.stock.intra_reply(symbol) + elif isinstance(symbol, Coin): + return self.crypto.intra_reply(symbol) + else: + log.debug(f"{symbol} is not a Stock or Coin") + return pd.DataFrame() + + def chart_reply(self, symbol: Symbol) -> pd.DataFrame: + """Returns price data for a symbol of the past month up until the previous trading days close. + Also caches multiple requests made in the same day. + + Parameters + ---------- + symbol : str + Stock symbol. + + Returns + ------- + pd.DataFrame + Returns a timeseries dataframe with high, low, and volume data if its available. + Otherwise returns empty pd.DataFrame. + """ + if isinstance(symbol, Stock): + return self.stock.chart_reply(symbol) + elif isinstance(symbol, Coin): + return self.crypto.chart_reply(symbol) + else: + log.debug(f"{symbol} is not a Stock or Coin") + return pd.DataFrame() + + def stat_reply(self, symbols: list[Symbol]) -> list[str]: + """Gets key statistics for each symbol in the list + + Parameters + ---------- + symbols : list[str] + List of stock symbols + + Returns + ------- + Dict[str, str] + Each symbol passed in is a key with its value being a human readable + formatted string of the symbols statistics. + """ + replies = [] + + for symbol in symbols: + if isinstance(symbol, Stock): + replies.append(self.stock.stat_reply(symbol)) + elif isinstance(symbol, Coin): + replies.append(self.crypto.stat_reply(symbol)) + else: + log.debug(f"{symbol} is not a Stock or Coin") + + return replies + + def cap_reply(self, symbols: list[Symbol]) -> list[str]: + """Gets market cap for each symbol in the list + + Parameters + ---------- + symbols : list[str] + List of stock symbols + + Returns + ------- + Dict[str, str] + Each symbol passed in is a key with its value being a human readable + formatted string of the symbols market cap. + """ + replies = [] + + for symbol in symbols: + if isinstance(symbol, Stock): + replies.append(self.stock.cap_reply(symbol)) + elif isinstance(symbol, Coin): + replies.append(self.crypto.cap_reply(symbol)) + else: + log.debug(f"{symbol} is not a Stock or Coin") + + return replies + + def spark_reply(self, symbols: list[Symbol]) -> list[str]: + """Gets change for each symbol and returns it in a compact format + + Parameters + ---------- + symbols : list[str] + List of stock symbols + + Returns + ------- + list[str] + List of human readable strings. + """ + replies = [] + + for symbol in symbols: + if isinstance(symbol, Stock): + replies.append(self.stock.spark_reply(symbol)) + elif isinstance(symbol, Coin): + replies.append(self.crypto.spark_reply(symbol)) + else: + log.debug(f"{symbol} is not a Stock or Coin") + + return replies + + @cached(cache=TTLCache(maxsize=1024, ttl=600)) + def trending(self) -> str: + """Checks APIs for trending symbols. + + Returns + ------- + list[str] + List of preformatted strings to be sent to user. + """ + + # stocks = self.stock.trending() + coins = self.crypto.trending() + + reply = "" + + log.warning(self.trending_count) + if self.trending_count: + reply += "π₯Trending on the Stock Bot:\n`" + reply += "β" * len("Trending on the Stock Bot:") + "`\n" + + sorted_trending = [s[0] for s in sorted(self.trending_count.items(), key=lambda item: item[1])][::-1][0:5] + log.warning(sorted_trending) + for t in sorted_trending: + reply += self.spark_reply(self.find_symbols(t))[0] + "\n" + + if coins: + reply += "\n\nπ¦Trending on CoinGecko:\n`" + reply += "β" * len("Trending on CoinGecko:") + "`\n" + for coin in coins: + reply += coin + "\n" + + if "`$GME" in reply: + reply = reply.replace("π₯", "π¦") + + if reply: + return reply + else: + log.warning("Failed to collect trending data.") + return "Trending data is not currently available." + + def random_pick(self) -> str: + # choice = random.choice(list(self.stock.symbol_list["description"]) + list(self.crypto.symbol_list["description"])) + choice = random.choice(list(self.crypto.symbol_list["description"])) + hold = (datetime.date.today() + datetime.timedelta(random.randint(1, 365))).strftime("%b %d, %Y") + + return f"{choice}\nBuy and hold until: {hold}" + + def batch_price_reply(self, symbols: list[Symbol]) -> list[str]: + """Returns current market price or after hours if its available for a given stock symbol. + + Parameters + ---------- + symbols : list + List of stock symbols. + + Returns + ------- + Dict[str, str] + Each symbol passed in is a key with its value being a human readable + markdown formatted string of the symbols price and movement. + """ + replies = [] + stocks = [] + coins = [] + + for symbol in symbols: + if isinstance(symbol, Stock): + stocks.append(symbol) + elif isinstance(symbol, Coin): + coins.append(symbol) + else: + log.debug(f"{symbol} is not a Stock or Coin") + + if stocks: + for stock in stocks: + replies.append(self.stock.price_reply(stock)) + if coins: + replies = replies + self.crypto.batch_price(coins) + + return replies diff --git a/dev-reqs.txt b/dev-reqs.txt index a0a4367..bd61f48 100644 --- a/dev-reqs.txt +++ b/dev-reqs.txt @@ -1,9 +1,10 @@ --r telegram/requirements.txt -black==23.7.0 -flake8==6.1.0 -Flake8-pyproject==1.2.3 -pylama==8.4.1 -mypy==1.5.1 -types-cachetools==5.3.0.6 -types-pytz==2023.3.0.1 -ruff==0.0.287 \ No newline at end of file +-r common/requirements.txt +-r docs/requirements.txt +black==23.7.0 +flake8==6.1.0 +Flake8-pyproject==1.2.3 +pylama==8.4.1 +mypy==1.5.1 +types-cachetools==5.3.0.6 +types-pytz==2023.3.0.1 +ruff==0.0.292 \ No newline at end of file diff --git a/discord/D_info.py b/discord/D_info.py index 58f590d..5ceb0c6 100644 --- a/discord/D_info.py +++ b/discord/D_info.py @@ -1,65 +1,59 @@ -"""Functions and Info specific to the discord Bot -""" - -import re - -import requests as r - - -class D_info: - license = re.sub( - r"\b\n", - " ", - r.get("https://gitlab.com/simple-stock-bots/simple-discord-stock-bot/-/raw/master/LICENSE").text, - ) - - help_text = """ -Thanks for using this bot, consider supporting it by [buying me a beer.](https://www.buymeacoffee.com/Anson) - -If you are interested in stock market data, or want to host your own bot, be sure to use my affiliate link so that the bot can stay free: [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord) - -Keep up with the latest news for the bot in its discord Channel: https://t.me/simplestockbotnews - -Full documentation on using and running your own stock bot can be found on the bots [docs.](https://docs.simplestockbot.com) - -The bot detects _"Symbols"_ using either one `$` or two `$$` dollar signs before the symbol. One dollar sign is for a stock market ticker, while two is for a cryptocurrency coin. `/chart $$eth` would return a chart of the past month of data for Ethereum, while `/dividend $psec` returns dividend information for Prospect Capital stock. - -Simply calling a symbol in any message that the bot can see will also return the price. So a message like: `I wonder if $$btc will go to the Moon now that $tsla accepts it as payment` would return the current price for both Bitcoin and Tesla. - -**Commands** - - `/donate [amount in USD]` to donate. ποΈ - - `/intra $[symbol]` Plot of the stocks movement since the last market open. π - - `/chart $[symbol]` Plot of the stocks movement for the past 1 month. π - - `/trending` Trending Stocks and Cryptos. π¬ - - `/help` Get some help using the bot. π - -**Inline Features** - You can type @SimpleStockBot `[search]` in any chat or direct message to search for the stock bots full list of stock and crypto symbols and return the price. Then once you select the ticker want the bot will send a message as you in that chat with the latest stock price. Prices may be delayed by up to an hour. - - Market data is provided by [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord) - - If you believe the bot is not behaving properly run `/status` or [get in touch](https://docs.simplestockbot.com/contact). - """ - - donate_text = """ -Simple Stock Bot is run entirely on donations[.](https://www.buymeacoffee.com/Anson) -All donations go directly towards paying for servers, and market data is provided by -[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord). - -The easiest way to donate is to run the `/donate [amount in USD]` command with US dollars you would like to donate. - -Example: `/donate 2` would donate 2 USD. - -An alternative way to donate is through https://www.buymeacoffee.com/Anson which requires no account and accepts Paypal or Credit card. -If you have any questions see the [website](https://docs.simplestockbot.com) - - """ - - -commands = """ # Not used by the bot but for updating commands with BotFather -donate - Donate to the bot ποΈ -help - Get some help using the bot. π -trending - Trending Stocks and Cryptos. π¬ -intra - $[symbol] Plot since the last market open. π -chart - $[chart] Plot of the past month. π -""" +"""Functions and Info specific to the discord Bot +""" + +import re + +import requests as r + + +class D_info: + license = re.sub( + r"\b\n", + " ", + r.get("https://gitlab.com/simple-stock-bots/simple-discord-stock-bot/-/raw/master/LICENSE").text, + ) + + help_text = """ +Thanks for using this bot. If you like it, [support me with a beer](https://www.buymeacoffee.com/Anson). π» + +For stock data or hosting your own bot, use my link. This helps keep the bot free: +[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord). + +**Updates**: Join the bot's discord: https://t.me/simplestockbotnews. + +**Documentation**: All details about the bot are at [docs](https://docs.simplestockbot.com). + +The bot reads _"Symbols"_. Use `$` for stock tickers and `$$` for cryptocurrencies. For example: +- `/chart $$eth` gives Ethereum's monthly chart. +- `/dividend $psec` shows Prospect Capital's dividend. + +Type any symbol, and the bot shows its price. Like: `Is $$btc rising since $tsla accepts it?` will give Bitcoin and Tesla prices. + +**Commands** +- `/donate [USD amount]`: Support the bot. ποΈ +- `/intra $[symbol]`: See stock's latest movement. π +- `/chart $[symbol]`: View a month's stock activity. π +- `/trending`: Check trending stocks and cryptos. π¬ +- `/help`: Need help? Ask here. π + +**Inline Features** +Type @SimpleStockBot `[search]` anywhere to find and get stock/crypto prices. Note: Prices might be delayed up to an hour. + +Data from: [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord). + +Issues with the bot? Use `/status` or [contact us](https://docs.simplestockbot.com/contact). + """ + + donate_text = """ +Simple Stock Bot runs purely on [donations.](https://www.buymeacoffee.com/Anson) +Every donation supports server costs and +[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord) provides our data. + +**How to Donate?** +1. Use `/donate [amount in USD]` command. + - E.g., `/donate 2` donates 2 USD. +2. Or, donate at [buymeacoffee](https://www.buymeacoffee.com/Anson). + - It's quick, doesn't need an account, and accepts Paypal or Credit card. + +Questions? Visit our [website](https://docs.simplestockbot.com). +""" diff --git a/discord/Dockerfile b/discord/Dockerfile index 09ef865..d8abd70 100644 --- a/discord/Dockerfile +++ b/discord/Dockerfile @@ -1,18 +1,19 @@ -FROM python:3.11-buster AS builder - - -COPY discord/requirements.txt . - -RUN pip install --user -r requirements.txt - - -FROM python:3.11-slim - -ENV MPLBACKEND=Agg - -COPY --from=builder /root/.local /root/.local - -COPY common common -COPY discord . - +FROM python:3.11-buster AS builder + + +COPY discord/discord-reqs.txt . +COPY common/requirements.txt . + +RUN pip install --user -r discord-reqs.txt + + +FROM python:3.11-slim + +ENV MPLBACKEND=Agg + +COPY --from=builder /root/.local /root/.local + +COPY common common +COPY discord . + CMD [ "python", "./bot.py" ] \ No newline at end of file diff --git a/discord/bot.py b/discord/bot.py index 300f6a0..0f13070 100644 --- a/discord/bot.py +++ b/discord/bot.py @@ -1,202 +1,202 @@ -import datetime -import io -import logging -import os - -import mplfinance as mpf -import nextcord -from nextcord.ext import commands - -from D_info import D_info -from common.symbol_router import Router - -DISCORD_TOKEN = os.environ["DISCORD"] - -s = Router() -d = D_info() - - -intents = nextcord.Intents.default() - - -client = nextcord.Client(intents=intents) -bot = commands.Bot(command_prefix="/", description=d.help_text, intents=intents) - -logger = logging.getLogger("nextcord") -logger.setLevel(logging.INFO) -handler = logging.FileHandler(filename="nextcord.log", encoding="utf-8", mode="w") -handler.setFormatter(logging.Formatter("%(asctime)s:%(levelname)s:%(name)s: %(message)s")) -logger.addHandler(handler) - - -@bot.event -async def on_ready(): - logging.info("Starting Simple Stock Bot") - logging.info(f"Logged in as {bot.user.name} {bot.user.id}") - - -@bot.command() -async def status(ctx: commands): - """Debug command for diagnosing if the bot is experiencing any issues.""" - logging.warning(f"Status command ran by {ctx.message.author}") - message = "" - try: - message = "Contact MisterBiggs#0465 if you need help.\n" - message += s.status(f"Bot recieved your message in: {bot.latency*10:.4f} seconds") + "\n" - - except Exception as ex: - logging.critical(ex) - message += ( - f"*\n\nERROR ENCOUNTERED:*\n{ex}\n\n" - + "*The bot encountered an error while attempting to find errors. Please contact the bot admin.*" - ) - await ctx.send(message) - - -@bot.command() -async def license(ctx: commands): - """Returns the bots license agreement.""" - await ctx.send(d.license) - - -@bot.command() -async def donate(ctx: commands): - """Details on how to support the development and hosting of the bot.""" - await ctx.send(d.donate_text) - - -@bot.command() -async def search(ctx: commands, *, query: str): - """Search for a stock symbol using either symbol of company name.""" - results = s.search_symbols(query) - if results: - reply = "*Search Results:*\n`$ticker: Company Name`\n" - for query in results: - reply += "`" + query[1] + "`\n" - await ctx.send(reply) - - -@bot.command() -async def crypto(ctx: commands, _: str): - """Get the price of a cryptocurrency using in USD.""" - await ctx.send("Crypto now has native support. Any crypto can be called using two dollar signs: `$$eth` `$$btc` `$$doge`") - - -@bot.command() -async def intra(ctx: commands, sym: str): - """Get a chart for the stocks movement since market open.""" - symbols = s.find_symbols(sym) - - if len(symbols): - symbol = symbols[0] - else: - await ctx.send("No symbols or coins found.") - return - - df = s.intra_reply(symbol) - if df.empty: - await ctx.send("Invalid symbol please see `/help` for usage details.") - return - with ctx.channel.typing(): - buf = io.BytesIO() - mpf.plot( - df, - type="renko", - title=f"\n{symbol.name}", - volume="volume" in df.keys(), - style="yahoo", - savefig=dict(fname=buf, dpi=400, bbox_inches="tight"), - ) - - buf.seek(0) - - # Get price so theres no request lag after the image is sent - price_reply = s.price_reply([symbol])[0] - await ctx.send( - file=nextcord.File( - buf, - filename=f"{symbol.name}:intra{datetime.date.today().strftime('%S%M%d%b%Y')}.png", - ), - content=f"\nIntraday chart for {symbol.name} from {df.first_valid_index().strftime('%d %b at %H:%M')} to" - + f" {df.last_valid_index().strftime('%d %b at %H:%M')}", - ) - await ctx.send(price_reply) - - -@bot.command() -async def chart(ctx: commands, sym: str): - """returns a chart of the past month of data for a symbol""" - - symbols = s.find_symbols(sym) - - if len(symbols): - symbol = symbols[0] - else: - await ctx.send("No symbols or coins found.") - return - - df = s.chart_reply(symbol) - if df.empty: - await ctx.send("Invalid symbol please see `/help` for usage details.") - return - with ctx.channel.typing(): - buf = io.BytesIO() - mpf.plot( - df, - type="candle", - title=f"\n{symbol.name}", - volume="volume" in df.keys(), - style="yahoo", - savefig=dict(fname=buf, dpi=400, bbox_inches="tight"), - ) - buf.seek(0) - - # Get price so theres no request lag after the image is sent - price_reply = s.price_reply([symbol])[0] - await ctx.send( - file=nextcord.File( - buf, - filename=f"{symbol.name}:1M{datetime.date.today().strftime('%d%b%Y')}.png", - ), - content=f"\n1 Month chart for {symbol.name} from {df.first_valid_index().strftime('%d, %b %Y')}" - + f" to {df.last_valid_index().strftime('%d, %b %Y')}", - ) - await ctx.send(price_reply) - - -@bot.command() -async def cap(ctx: commands, sym: str): - """Get the market cap of a symbol""" - symbols = s.find_symbols(sym) - if symbols: - with ctx.channel.typing(): - for reply in s.cap_reply(symbols): - await ctx.send(reply) - - -@bot.command() -async def trending(ctx: commands): - """Get a list of Trending Stocks and Coins""" - with ctx.channel.typing(): - await ctx.send(s.trending()) - - -@bot.event -async def on_message(message): - if message.author.id == bot.user.id: - return - if message.content: - if message.content[0] == "/": - await bot.process_commands(message) - return - - if "$" in message.content: - symbols = s.find_symbols(message.content) - - if symbols: - for reply in s.price_reply(symbols): - await message.channel.send(reply) - return - - -bot.run(DISCORD_TOKEN) +import datetime +import io +import logging +import os + +import mplfinance as mpf +import nextcord +from nextcord.ext import commands + +from D_info import D_info +from common.symbol_router import Router + +DISCORD_TOKEN = os.environ["DISCORD"] + +s = Router() +d = D_info() + + +intents = nextcord.Intents.default() + + +client = nextcord.Client(intents=intents) +bot = commands.Bot(command_prefix="/", description=d.help_text, intents=intents) + +logger = logging.getLogger("nextcord") +logger.setLevel(logging.INFO) +handler = logging.FileHandler(filename="nextcord.log", encoding="utf-8", mode="w") +handler.setFormatter(logging.Formatter("%(asctime)s:%(levelname)s:%(name)s: %(message)s")) +logger.addHandler(handler) + + +@bot.event +async def on_ready(): + logging.info("Starting Simple Stock Bot") + logging.info(f"Logged in as {bot.user.name} {bot.user.id}") + + +@bot.command() +async def status(ctx: commands): + """Debug command for diagnosing if the bot is experiencing any issues.""" + logging.warning(f"Status command ran by {ctx.message.author}") + message = "" + try: + message = "Contact MisterBiggs#0465 if you need help.\n" + message += s.status(f"Bot recieved your message in: {bot.latency*10:.4f} seconds") + "\n" + + except Exception as ex: + logging.critical(ex) + message += ( + f"*\n\nERROR ENCOUNTERED:*\n{ex}\n\n" + + "*The bot encountered an error while attempting to find errors. Please contact the bot admin.*" + ) + await ctx.send(message) + + +@bot.command() +async def license(ctx: commands): + """Returns the bots license agreement.""" + await ctx.send(d.license) + + +@bot.command() +async def donate(ctx: commands): + """Details on how to support the development and hosting of the bot.""" + await ctx.send(d.donate_text) + + +@bot.command() +async def search(ctx: commands, *, query: str): + """Search for a stock symbol using either symbol of company name.""" + results = s.search_symbols(query) + if results: + reply = "*Search Results:*\n`$ticker: Company Name`\n" + for query in results: + reply += "`" + query[1] + "`\n" + await ctx.send(reply) + + +@bot.command() +async def crypto(ctx: commands, _: str): + """Get the price of a cryptocurrency using in USD.""" + await ctx.send("Crypto now has native support. Any crypto can be called using two dollar signs: `$$eth` `$$btc` `$$doge`") + + +@bot.command() +async def intra(ctx: commands, sym: str): + """Get a chart for the stocks movement since market open.""" + symbols = s.find_symbols(sym) + + if len(symbols): + symbol = symbols[0] + else: + await ctx.send("No symbols or coins found.") + return + + df = s.intra_reply(symbol) + if df.empty: + await ctx.send("Invalid symbol please see `/help` for usage details.") + return + with ctx.channel.typing(): + buf = io.BytesIO() + mpf.plot( + df, + type="renko", + title=f"\n{symbol.name}", + volume="volume" in df.keys(), + style="yahoo", + savefig=dict(fname=buf, dpi=400, bbox_inches="tight"), + ) + + buf.seek(0) + + # Get price so theres no request lag after the image is sent + price_reply = s.price_reply([symbol])[0] + await ctx.send( + file=nextcord.File( + buf, + filename=f"{symbol.name}:intra{datetime.date.today().strftime('%S%M%d%b%Y')}.png", + ), + content=f"\nIntraday chart for {symbol.name} from {df.first_valid_index().strftime('%d %b at %H:%M')} to" + + f" {df.last_valid_index().strftime('%d %b at %H:%M')}", + ) + await ctx.send(price_reply) + + +@bot.command() +async def chart(ctx: commands, sym: str): + """returns a chart of the past month of data for a symbol""" + + symbols = s.find_symbols(sym) + + if len(symbols): + symbol = symbols[0] + else: + await ctx.send("No symbols or coins found.") + return + + df = s.chart_reply(symbol) + if df.empty: + await ctx.send("Invalid symbol please see `/help` for usage details.") + return + with ctx.channel.typing(): + buf = io.BytesIO() + mpf.plot( + df, + type="candle", + title=f"\n{symbol.name}", + volume="volume" in df.keys(), + style="yahoo", + savefig=dict(fname=buf, dpi=400, bbox_inches="tight"), + ) + buf.seek(0) + + # Get price so theres no request lag after the image is sent + price_reply = s.price_reply([symbol])[0] + await ctx.send( + file=nextcord.File( + buf, + filename=f"{symbol.name}:1M{datetime.date.today().strftime('%d%b%Y')}.png", + ), + content=f"\n1 Month chart for {symbol.name} from {df.first_valid_index().strftime('%d, %b %Y')}" + + f" to {df.last_valid_index().strftime('%d, %b %Y')}", + ) + await ctx.send(price_reply) + + +@bot.command() +async def cap(ctx: commands, sym: str): + """Get the market cap of a symbol""" + symbols = s.find_symbols(sym) + if symbols: + with ctx.channel.typing(): + for reply in s.cap_reply(symbols): + await ctx.send(reply) + + +@bot.command() +async def trending(ctx: commands): + """Get a list of Trending Stocks and Coins""" + with ctx.channel.typing(): + await ctx.send(s.trending()) + + +@bot.event +async def on_message(message): + if message.author.id == bot.user.id: + return + if message.content: + if message.content[0] == "/": + await bot.process_commands(message) + return + + if "$" in message.content: + symbols = s.find_symbols(message.content) + + if symbols: + for reply in s.price_reply(symbols): + await message.channel.send(reply) + return + + +bot.run(DISCORD_TOKEN) diff --git a/discord/discord-reqs.txt b/discord/discord-reqs.txt new file mode 100644 index 0000000..7c62e9e --- /dev/null +++ b/discord/discord-reqs.txt @@ -0,0 +1,2 @@ +nextcord==2.4.2 +-r requirements.txt \ No newline at end of file diff --git a/discord/requirements.txt b/discord/requirements.txt deleted file mode 100644 index 70488b8..0000000 --- a/discord/requirements.txt +++ /dev/null @@ -1,7 +0,0 @@ -nextcord==2.4.2 -requests==2.25.1 -pandas==2.0.0 -schedule==1.0.0 -mplfinance==0.12.7a5 -markdownify==0.6.5 -cachetools==4.2.2 \ No newline at end of file diff --git a/docker-compose.yaml b/docker-compose.yaml index da596f2..bad32be 100644 --- a/docker-compose.yaml +++ b/docker-compose.yaml @@ -1,13 +1,13 @@ -version: '3' -services: - telegram: - build: - context: . - dockerfile: telegram/Dockerfile - image: registry.gitlab.com/simple-stock-bots/simple-telegram-stock-bot - env_file: .env - discord: - build: - context: . - dockerfile: discord/Dockerfile +version: '3' +services: + telegram: + build: + context: . + dockerfile: telegram/Dockerfile + image: registry.gitlab.com/simple-stock-bots/simple-telegram-stock-bot + env_file: .env + discord: + build: + context: . + dockerfile: discord/Dockerfile env_file: .env \ No newline at end of file diff --git a/docs/.gitignore b/docs/.gitignore new file mode 100644 index 0000000..1998c29 --- /dev/null +++ b/docs/.gitignore @@ -0,0 +1 @@ +.cache \ No newline at end of file diff --git a/docs/.gitlab-ci.yml b/docs/.gitlab-ci.yml new file mode 100644 index 0000000..aea9f4e --- /dev/null +++ b/docs/.gitlab-ci.yml @@ -0,0 +1,12 @@ +image: python:3.11 +pages: + stage: deploy + script: + - cd ./docs + - pip install -r requirements.txt + - mkdocs build --site-dir ../public --verbose + artifacts: + paths: + - public + # rules: + # - if: '$CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH' diff --git a/docs/.vscode/settings.json b/docs/.vscode/settings.json new file mode 100644 index 0000000..a77acdd --- /dev/null +++ b/docs/.vscode/settings.json @@ -0,0 +1,12 @@ +{ + "yaml.schemas": { + "https://squidfunk.github.io/mkdocs-material/schema.json": "mkdocs.yml" + }, + "yaml.customTags": [ + "!ENV scalar", + "!ENV sequence", + "tag:yaml.org,2002:python/name:materialx.emoji.to_svg", + "tag:yaml.org,2002:python/name:materialx.emoji.twemoji", + "tag:yaml.org,2002:python/name:pymdownx.superfences.fence_code_format" + ] +} \ No newline at end of file diff --git a/docs/LICENSE b/docs/LICENSE new file mode 100644 index 0000000..e6ff068 --- /dev/null +++ b/docs/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2019 Anson Biggs + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/docs/README.md b/docs/README.md new file mode 100644 index 0000000..5112bd4 --- /dev/null +++ b/docs/README.md @@ -0,0 +1,30 @@ +# Simple Stock Bots +[](https://t.me/SimpleStockBot) +[](https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot) +[](https://opensource.org/licenses/MIT) + + +## Table of Contents ++ [About](#about) ++ [Getting Started](#getting_started) ++ [Usage](#usage) ++ [Contributing](../CONTRIBUTING.md) + +## About +Simple Stock Bots is a family of messaging bots that aim to provide simple bots that provide information on the stock market. Currently there are only [Telegram](./telegram) and [Discord](./discord) Bots. + +## Getting Started + +The simplest way to use these bots is to use the version that I host on Digital Ocean. You can find the links to access them below: + ++ [Telegram](https://t.me/SimpleStockBot) ++ [Discord](https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot) + +Alternatively, this project is completely open source and instructions on how to run your own instance of the bot are provided on each of the bots pages. + +## Source Code + +The source code for the bots is completely open and hosted on Gitlab. + ++ [Telegram](https://gitlab.com/simple-stock-bots/simple-telegram-bot) ++ [Discord](https://gitlab.com/simple-stock-bots/simple-discord-stock-bot) diff --git a/docs/docs/LICENSE.md b/docs/docs/LICENSE.md new file mode 100644 index 0000000..6f0d1b9 --- /dev/null +++ b/docs/docs/LICENSE.md @@ -0,0 +1,23 @@ +``` +MIT License + +Copyright (c) 2019 Anson Biggs + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. +``` diff --git a/docs/docs/commands.md b/docs/docs/commands.md new file mode 100644 index 0000000..bdb8061 --- /dev/null +++ b/docs/docs/commands.md @@ -0,0 +1,176 @@ +Symbols are used in headings to denote what platforms and symbol types a command supports. + +- Telegram Only :fontawesome-brands-telegram-plane: +- Discord Only :fontawesome-brands-discord: +- Bot Commands :robot: +- Cryptocurrency Support :material-currency-btc: +- Stock Market Support :bank: +- OTC Support :dollar: + +## Symbol Detection :material-currency-btc: :bank: :dollar: + +The Simple Stock Bot looks at every message it can see and tries to detect stock and cryptocurrency symbols. Stock market tickers are denoted with a single `$` and cryptocurrency coins are denoted with a double `$$`. So getting the price of Tesla is as simple as `$tsla` and Bitcoin `$$btc`. These symbols can be in any part of a message and there can be multiple of them aswell. + +