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Author SHA1 Message Date
Anson 310f552bfc Merge branch 'phase-1-revival' into 'master'
Phase 1 Revival: Update dependencies, fix bugs, add tests

See merge request simple-stock-bots/simple-stock-bot!67
2026-02-21 14:54:25 -07:00
Anson Biggs 5aa639dbf6 Apply ruff linting fixes and add pytest-asyncio
- Add pytest-asyncio to dev-reqs.txt for async test support
- Fix ruff formatting issues in symbol_router.py
- Fix ruff formatting issues in D_info.py and T_info.py
- Remove unused imports from test files (fixed by ruff --fix)
- Minor code style fixes in bot files

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-21 16:53:00 -05:00
Anson Biggs 8b054827d8 Add .env.example with required environment variables
Documents required environment variables for running the bot:
- TELEGRAM: Telegram bot token from @BotFather
- DISCORD: Discord bot token from Developer Portal
- MARKETDATA: MarketData.app API token for stock data
- STRIPE: Optional Stripe token for donation processing

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-21 16:52:54 -05:00
Anson Biggs 9476b5a280 Add pytest test suite for core functionality
- Add pytest and pytest-asyncio to dev-reqs.txt
- Add tests for Router symbol detection regex (stocks and crypto patterns)
- Add tests for Symbol, Stock, and Coin class construction
- Add tests for rate_limited decorator functionality
- Add conftest.py with path setup and test environment variables

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-21 16:52:48 -05:00
Anson Biggs b8f2f6998a Fix bugs in MarketData and CoinGecko handlers
- Change logging.error to logging.debug for response headers in MarketData.get()
- Fix MarketData.status() to check its own API instead of CoinGecko uptime monitor
- Fix f-string bug in cg_Crypto.cap_reply (market cap was not interpolated)
- Add exponential backoff with max 3 retries for CoinGecko 429 errors
- Fix formatting issues in cg_Crypto (quote consistency, spacing)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-21 16:52:42 -05:00
Anson Biggs 018613e896 Update dependencies and Dockerfiles for revival
- Update python-telegram-bot from 20.6 to 21.11.1 (latest 21.x)
- Update pandas to 3.0.1, requests to 2.32.5, cachetools to 7.0.1
- Update humanize to 4.15.0, markdownify to 1.2.2, schedule to 1.2.2
- Update mplfinance to 0.12.10a7, ruff to 0.15.2
- Add pytest 9.0.2 to dev requirements
- Update Dockerfiles to Python 3.12-bookworm/slim
- Enable ruff linting in GitLab CI with updated Python 3.12 image
2026-02-21 16:49:01 -05:00
Anson cffaaf2f9e Merge branch 'MisterBiggs-master-patch-76388' into 'master'
fix sunset link

See merge request simple-stock-bots/simple-stock-bot!66
2024-05-13 03:55:25 +00:00
Anson 8228812369 fix sunset link 2024-05-13 03:55:25 +00:00
Anson 3ff582d095 Merge branch 'random-housecleaning' into 'master'
Archive the Bot

See merge request simple-stock-bots/simple-stock-bot!65
2024-05-13 03:51:14 +00:00
Anson 0417436451 Archive the Bot 2024-05-13 03:51:14 +00:00
Anson d45ce7c250 Merge branch 'site-upload-fix' into 'master'
fix site upload rule

See merge request simple-stock-bots/simple-stock-bot!64
2023-11-29 03:27:58 +00:00
Anson dcff9f3537 fix site upload rule 2023-11-29 03:26:50 +00:00
Anson 66ff51f021 Merge branch 'sec-gov-permission-issue' into 'master'
Fix sec.gov permissions issue

See merge request simple-stock-bots/simple-stock-bot!63
2023-11-29 03:25:34 +00:00
Anson fbad8a20cf Fix sec.gov permissions issue 2023-11-29 03:25:34 +00:00
Anson 6229a5d4b6 Merge branch '114-fix-coingecko-too-many-requests-error' into 'master'
Resolve "Fix coingecko too many requests error"

Closes #114

See merge request simple-stock-bots/simple-stock-bot!62
2023-10-17 06:05:30 +00:00
Anson ef9cd7e85c Resolve "Fix coingecko too many requests error" 2023-10-17 06:05:30 +00:00
Anson 2758c45432 Merge branch '113-make-announcement-for-milestone-completion-2' into 'master'
Resolve "Make announcement for Milestone completion"

Closes #113

See merge request simple-stock-bots/simple-stock-bot!61
2023-10-17 05:43:32 +00:00
Anson c717739b75 Resolve "Make announcement for Milestone completion" 2023-10-17 05:43:32 +00:00
Anson 8a78ab5f55 Merge branch '113-make-announcement-for-milestone-completion' into 'master'
Resolve "Make announcement for Milestone completion"

Closes #113

See merge request simple-stock-bots/simple-stock-bot!60
2023-10-17 05:14:24 +00:00
Anson a54653bbc7 Resolve "Make announcement for Milestone completion" 2023-10-17 05:14:24 +00:00
Anson 686cf889c1 Merge branch '36-add-rate-limiting' into 'master'
Resolve "Add rate limiting"

Closes #36

See merge request simple-stock-bots/simple-stock-bot!57
2023-10-16 05:54:35 +00:00
Anson 662344bf18 Resolve "Add rate limiting" 2023-10-16 05:54:35 +00:00
Anson 87d9346f98 Merge branch '112-move-to-new-url' into 'master'
Update links from individual bot repos to monorepo

Closes #112

See merge request simple-stock-bots/simple-stock-bot!59
2023-10-16 04:53:23 +00:00
Anson 2fd5906f9e Update links from individual bot repos to monorepo 2023-10-16 04:53:23 +00:00
Anson 4f7a674f50 Merge branch '110-add-options' into 'master'
Resolve "Add Options from MarketData.app"

Closes #110

See merge request simple-stock-bots/simple-telegram-stock-bot!56
2023-10-13 05:37:48 +00:00
Anson 04abd15fcc Resolve "Add Options from MarketData.app" 2023-10-13 05:37:48 +00:00
Anson 10f8460cae Merge branch 'bug-smashing-extravaganza' into 'master'
Add list of stocks to bot

Closes #105

See merge request simple-stock-bots/simple-telegram-stock-bot!55
2023-10-12 02:42:53 +00:00
Anson 66f233918e Add list of stocks to bot 2023-10-12 02:42:52 +00:00
Anson 4a556597df Merge branch 'fix-admonitions' into 'master'
Fix admonitions

See merge request simple-stock-bots/simple-telegram-stock-bot!54
2023-10-10 04:28:22 +00:00
Anson ad1ec94c6b Fix admonitions 2023-10-10 04:28:22 +00:00
Anson 133675616a Merge branch '109-add-a-blog-to-the-website' into 'master'
Resolve "Add a blog to the website"

Closes #109

See merge request simple-stock-bots/simple-telegram-stock-bot!53
2023-10-10 04:19:47 +00:00
Anson 33550f1519 Resolve "Add a blog to the website" 2023-10-10 04:19:46 +00:00
63 changed files with 2988 additions and 2082 deletions
-2
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@@ -1,5 +1,3 @@
FROM python:3.11 FROM python:3.11
COPY . . COPY . .
# RUN pip install -r requirements.txt
+12 -10
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@@ -5,7 +5,8 @@
// Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile
// "image": "mcr.microsoft.com/devcontainers/python:1-3-bookworm", // "image": "mcr.microsoft.com/devcontainers/python:1-3-bookworm",
"build": { "build": {
"dockerfile": "Dockerfile" "dockerfile": "Dockerfile",
"context": ".."
}, },
"features": { "features": {
"ghcr.io/devcontainers-contrib/features/black:2": {}, "ghcr.io/devcontainers-contrib/features/black:2": {},
@@ -16,16 +17,17 @@
"customizations": { "customizations": {
"vscode": { "vscode": {
"extensions": [ "extensions": [
"ms-python.python", "ms-python.python",
"ms-python.black-formatter", "ms-python.black-formatter",
"ms-python.flake8", "ms-python.vscode-pylance",
"ms-python.vscode-pylance", "ms-python.isort",
"ms-python.isort", "charliermarsh.ruff",
"charliermarsh.ruff" "ms-toolsai.jupyter",
] "esbenp.prettier-vscode"
]
} }
}, },
"postCreateCommand": "pip3 install --user -r dev-reqs.txt" "postCreateCommand": "pip3 install --user -r dev-reqs.txt && apt-get update && apt-get install -y nodejs npm --fix-missing && npm install"
// Features to add to the dev container. More info: https://containers.dev/features. // Features to add to the dev container. More info: https://containers.dev/features.
// "features": {}, // "features": {},
// Use 'forwardPorts' to make a list of ports inside the container available locally. // Use 'forwardPorts' to make a list of ports inside the container available locally.
@@ -36,4 +38,4 @@
// "customizations": {}, // "customizations": {},
// Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root. // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root.
// "remoteUser": "root" // "remoteUser": "root"
} }
+17
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@@ -0,0 +1,17 @@
# Required Environment Variables for Simple Stock Bot
# Telegram Bot Token (required for Telegram functionality)
# Get this from @BotFather on Telegram
TELEGRAM=your_telegram_bot_token_here
# Discord Bot Token (required for Discord functionality)
# Get this from Discord Developer Portal
DISCORD=your_discord_bot_token_here
# MarketData.app API Token (required for stock market data)
# Get this from https://www.marketdata.app/
MARKETDATA=your_marketdata_api_token_here
# Stripe Token (optional - for accepting donations)
# Get this from Stripe Dashboard
STRIPE=your_stripe_token_here
+2 -1
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@@ -1,2 +1,3 @@
__pycache__ __pycache__
.env .env
node_modules
+23 -21
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@@ -1,21 +1,23 @@
stages: stages:
- lint - lint
- deploy - build_site
- deploy
black:
stage: lint ruff:
image: registry.gitlab.com/pipeline-components/black:latest stage: lint
script: image: python:3.12-slim
- black --check --verbose -- . script:
- pip3 install ruff==0.15.2
ruff: - ruff check . --output-format gitlab
stage: lint - ruff format . --check
# image: registry.gitlab.com/pipeline-components/ruff:latest allow_failure: false
image: python:3.11-slim
script: # prettier:
- pip3 install ruff # stage: lint
- ruff --output-format gitlab . # image: node:16-slim # Use Node.js image since prettier is a Node.js tool
# script:
# - npm install prettier
include: # - npx prettier --check . # Adjust the path as needed
- local: /docs/.gitlab-ci.yml
include:
- local: /site/.gitlab-ci.yml
+8 -6
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@@ -1,8 +1,10 @@
{ {
"editor.formatOnSave": true,
"editor.formatOnPaste": true,
"editor.formatOnSaveMode": "modificationsIfAvailable",
"[python]": {
"editor.defaultFormatter": "charliermarsh.ruff",
"editor.formatOnSave": true, "editor.formatOnSave": true,
"editor.formatOnPaste": true, "editor.formatOnSaveMode": "file"
"editor.formatOnSaveMode": "modificationsIfAvailable", }
"[python]": { }
"editor.defaultFormatter": "ms-python.black-formatter",
}
}
+9 -5
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@@ -9,14 +9,16 @@ Enhance your group chats on Telegram and Discord with real-time stock and crypto
## Documentation ## Documentation
Comprehensive documentation is available to help you understand the features and capabilities of Simple Stock Bots: Comprehensive documentation is available to help you understand the features and capabilities of Simple Stock Bots:
- [Official Documentation](https://docs.simplestockbot.com/)
- [Command Reference](https://docs.simplestockbot.com/commands/) - [Official Documentation](https://simplestockbot.com/)
- [Command Reference](https://simplestockbot.com/commands/)
## Support the Project ## Support the Project
Simple Stock Bots is sustained entirely through donations, with an annual expense of about $420 for server and premium market data subscriptions from [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo). Simple Stock Bots is sustained entirely through donations, with an annual expense of about $420 for server and premium market data subscriptions from [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo).
You can contribute by: You can contribute by:
- Donating through [Buy Me A Coffee](https://www.buymeacoffee.com/Anson) (PayPal or Credit Card accepted). - Donating through [Buy Me A Coffee](https://www.buymeacoffee.com/Anson) (PayPal or Credit Card accepted).
- Using the `/donate` [command](commands.md#donate-amount-in-usd) on Telegram. - Using the `/donate` [command](commands.md#donate-amount-in-usd) on Telegram.
- [Getting in touch](contact.md) for any inquiries or suggestions. - [Getting in touch](contact.md) for any inquiries or suggestions.
@@ -24,7 +26,7 @@ You can contribute by:
### Additional Support: ### Additional Support:
- Follow on [Twitter](https://twitter.com/AnsonBiggs) - Follow on [Twitter](https://twitter.com/AnsonBiggs)
- Contribute or star the project on [GitLab](https://gitlab.com/simple-stock-bots) - Contribute or star the project on [GitLab](https://gitlab.com/simple-stock-bots/simple-stock-bot)
- Utilize referral links for self-hosting: - Utilize referral links for self-hosting:
- [DigitalOcean](https://m.do.co/c/6b5df7ef55b6) - [DigitalOcean](https://m.do.co/c/6b5df7ef55b6)
- [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=web) - [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=web)
@@ -32,12 +34,14 @@ You can contribute by:
## Hosting ## Hosting
Self-hosting instructions are provided for those interested in running the bot on their own servers: Self-hosting instructions are provided for those interested in running the bot on their own servers:
- [Hosting Guide](https://docs.simplestockbot.com/hosting/)
- [Hosting Guide](https://simplestockbot.com/hosting/)
## Contact ## Contact
Reach out for bug reports, feature requests, or other inquiries: Reach out for bug reports, feature requests, or other inquiries:
- [Contact Page](https://docs.simplestockbot.com/contact/)
- [Contact Page](https://simplestockbot.com/contact/)
--- ---
+361 -269
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@@ -1,269 +1,361 @@
import datetime as dt import datetime as dt
import logging import logging
import os import os
from typing import Dict from collections import OrderedDict
from typing import Dict
import pandas as pd
import pytz import humanize
import requests as r import pandas as pd
import schedule import pytz
import requests as r
from common.Symbol import Stock import schedule
log = logging.getLogger(__name__)
from common.Symbol import Stock
class MarketData: log = logging.getLogger(__name__)
"""
Functions for finding stock market information about symbols from MarkData.app
""" class MarketData:
"""
SYMBOL_REGEX = "[$]([a-zA-Z]{1,4})" Functions for finding stock market information about symbols from MarkData.app
"""
charts: Dict[Stock, pd.DataFrame] = {}
SYMBOL_REGEX = "[$]([a-zA-Z]{1,4})"
openTime = dt.time(hour=9, minute=30, second=0)
marketTimeZone = pytz.timezone("US/Eastern") symbol_list: Dict[str, Dict] = {}
charts: Dict[Stock, pd.DataFrame] = {}
def __init__(self) -> None:
"""Creates a Symbol Object openTime = dt.time(hour=9, minute=30, second=0)
marketTimeZone = pytz.timezone("US/Eastern")
Parameters
---------- def __init__(self) -> None:
MARKETDATA_TOKEN : str """Creates a Symbol Object
MarketData.app API Token
""" Parameters
----------
try: MARKETDATA_TOKEN : str
self.MARKETDATA_TOKEN = os.environ["MARKETDATA"] MarketData.app API Token
"""
if self.MARKETDATA_TOKEN == "TOKEN":
self.MARKETDATA_TOKEN = "" try:
except KeyError: self.MARKETDATA_TOKEN = os.environ["MARKETDATA"]
self.MARKETDATA_TOKEN = ""
log.warning("Starting without an MarketData.app Token will not allow you to get market data!") if self.MARKETDATA_TOKEN == "TOKEN":
log.warning("Use this affiliate link so that the bot can stay free:") self.MARKETDATA_TOKEN = ""
log.warning("https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo") except KeyError:
self.MARKETDATA_TOKEN = ""
if self.MARKETDATA_TOKEN != "": log.warning("Starting without an MarketData.app Token will not allow you to get market data!")
schedule.every().day.do(self.clear_charts) 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")
def get(self, endpoint, params: dict = {}, timeout=10) -> dict:
url = "https://api.marketdata.app/v1/" + endpoint if self.MARKETDATA_TOKEN != "":
schedule.every().day.do(self.clear_charts)
# set token param if it wasn't passed.
params["token"] = self.MARKETDATA_TOKEN self.get_symbol_list()
schedule.every().day.do(self.get_symbol_list)
# Undocumented query variable that ensures bot usage can be
# monitored even if someone doesn't make it through an affiliate link. def get(self, endpoint, params=None, timeout=10, headers=None) -> dict:
params["application"] = "simplestockbot" url = "https://api.marketdata.app/v1/" + endpoint
resp = r.get(url, params=params, timeout=timeout) if params is None:
params = {}
# Make sure API returned a proper status code
try: # set token param if it wasn't passed.
resp.raise_for_status() params["token"] = self.MARKETDATA_TOKEN
except r.exceptions.HTTPError as e:
logging.error(e) # Undocumented query variable that ensures bot usage can be
return {} # monitored even if someone doesn't make it through an affiliate link.
params["application"] = "simplestockbot"
# Make sure API returned valid JSON
try: if headers is None:
resp_json = resp.json() headers = {}
headers = {"User-Agent": "Simple Stock Bot anson@ansonbiggs.com"} | headers
match resp_json["s"]:
case "ok": resp = r.get(url, params=params, timeout=timeout, headers=headers)
return resp_json
case "no_data": logging.debug(resp.headers.items())
return resp_json
case "error": # Make sure API returned a proper status code
logging.error("MarketData Error:\n" + resp_json["errmsg"]) try:
return {} resp.raise_for_status()
except r.exceptions.HTTPError as e:
except r.exceptions.JSONDecodeError as e: logging.error(e)
logging.error(e) return {}
return {} # Make sure API returned valid JSON
try:
def clear_charts(self) -> None: resp_json = resp.json()
"""
Clears cache of chart data. match resp_json["s"]:
Charts are cached so that only 1 API call per 24 hours is needed since the case "ok":
chart data is expensive and a large download. return resp_json
""" case "no_data":
self.charts = {} return resp_json
case "error":
def status(self) -> str: logging.error("MarketData Error:\n" + resp_json["errmsg"])
# TODO: At the moment this API is poorly documented, this function likely needs to be revisited later. return {}
try: except r.exceptions.JSONDecodeError as e:
status = r.get( logging.error(e)
"https://stats.uptimerobot.com/api/getMonitorList/6Kv3zIow0A",
timeout=5, return {}
)
status.raise_for_status() def symbol_id(self, symbol: str) -> Dict[str, Dict]:
except r.HTTPError: return self.symbol_list.get(symbol.upper(), None)
return f"API returned an HTTP error code {status.status_code} in {status.elapsed.total_seconds()} seconds."
except r.Timeout: def get_symbol_list(self):
return "API timed out before it was able to give status. This is likely due to a surge in usage or a complete outage." # Doesn't use `self.get()` since needs are much different
sec_resp = r.get(
statusJSON = status.json() "https://www.sec.gov/files/company_tickers.json",
headers={
if statusJSON["status"] == "ok": "User-Agent": "Simple Stock Bot anson@ansonbiggs.com",
return ( "Accept-Encoding": "gzip, deflate",
f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} seconds." "Host": "www.sec.gov",
) },
else: )
return f"MarketData.app is currently reporting the following status: {statusJSON['status']}" sec_resp.raise_for_status()
sec_data = sec_resp.json()
def price_reply(self, symbol: Stock) -> str:
"""Returns price movement of Stock for the last market day, or after hours. for rank, ticker_info in sec_data.items():
self.symbol_list[ticker_info["ticker"]] = {
Parameters "ticker": ticker_info["ticker"],
---------- "title": ticker_info["title"],
symbol : Stock "mkt_cap_rank": rank,
}
Returns
------- def clear_charts(self) -> None:
str """
Formatted markdown 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.
if quoteResp := self.get(f"stocks/quotes/{symbol}/"): """
price = round(quoteResp["last"][0], 2) self.charts = {}
try: def status(self) -> str:
changePercent = round(quoteResp["changepct"][0], 2) """Check MarketData.app API status by making a test request."""
except TypeError: try:
return f"The price of {symbol} is {price}" # Test the API with a simple request
status = r.get(
message = f"The current price of {symbol.name} is ${price} and " "https://api.marketdata.app/v1/stocks/quotes/AAPL/",
timeout=5,
if changePercent > 0.0: )
message += f"is currently up {changePercent}% for the day." status.raise_for_status()
elif changePercent < 0.0: return f"MarketData.app API is responding OK with status {status.status_code} in {status.elapsed.total_seconds():.2f} seconds."
message += f"is currently down {changePercent}% for the day." except r.HTTPError:
else: return f"MarketData.app API returned an HTTP error code {status.status_code} in {status.elapsed.total_seconds():.2f} seconds."
message += "hasn't shown any movement for the day." except r.Timeout:
return "MarketData.app API timed out before it could respond. This is likely due to a surge in usage or a complete outage."
return message except Exception as e:
else: return f"MarketData.app API check failed: {str(e)}"
return f"Getting a quote for {symbol} encountered an error."
def price_reply(self, symbol: Stock) -> str:
def spark_reply(self, symbol: Stock) -> str: """Returns price movement of Stock for the last market day, or after hours.
if quoteResp := self.get(f"stocks/quotes/{symbol}/"):
try: Parameters
changePercent = round(quoteResp["changepct"][0], 2) ----------
return f"`{symbol.tag}`: {changePercent}%" symbol : Stock
except TypeError:
pass Returns
-------
return f"`{symbol.tag}`" str
Formatted markdown
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. if quoteResp := self.get(f"stocks/quotes/{symbol.symbol}/"):
price = round(quoteResp["last"][0], 2)
Parameters
---------- try:
symbol : str changePercent = round(quoteResp["changepct"][0], 2)
Stock symbol. except TypeError:
return f"The price of {symbol.name} is ${price}"
Returns
------- message = f"The current price of {symbol.name} is ${price} and "
pd.DataFrame
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame. if changePercent > 0.0:
""" message += f"is currently up {changePercent}% for the day."
schedule.run_pending() elif changePercent < 0.0:
message += f"is currently down {changePercent}% for the day."
try: else:
return self.charts[symbol.id.upper()] message += "hasn't shown any movement for the day."
except KeyError:
pass return message
else:
resolution = "15" # minutes return f"Getting a quote for {symbol} encountered an error."
now = dt.datetime.now(self.marketTimeZone)
def spark_reply(self, symbol: Stock) -> str:
if self.openTime < now.time(): if quoteResp := self.get(f"stocks/quotes/{symbol}/"):
startTime = now.replace(hour=9, minute=30) try:
else: changePercent = round(quoteResp["changepct"][0], 2)
startTime = now - dt.timedelta(days=1) return f"`{symbol.tag}`: {changePercent}%"
except TypeError:
if data := self.get( pass
f"stocks/candles/{resolution}/{symbol}",
params={"from": startTime.timestamp(), "to": now.timestamp(), "extended": True}, return f"`{symbol.tag}`"
):
data.pop("s") def intra_reply(self, symbol: Stock) -> pd.DataFrame:
df = pd.DataFrame(data) """Returns price data for a symbol of the past month up until the previous trading days close.
df["t"] = pd.to_datetime(df["t"], unit="s", utc=True) Also caches multiple requests made in the same day.
df.set_index("t", inplace=True)
Parameters
df.rename( ----------
columns={ symbol : str
"o": "Open", Stock symbol.
"h": "High",
"l": "Low", Returns
"c": "Close", -------
"v": "Volume", pd.DataFrame
}, Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
inplace=True, """
) schedule.run_pending()
self.charts[symbol.id.upper()] = df try:
return df return self.charts[symbol.id.upper()]
except KeyError:
return pd.DataFrame() pass
def chart_reply(self, symbol: Stock) -> pd.DataFrame: resolution = "15" # minutes
"""Returns price data for a symbol of the past month up until the previous trading days close. now = dt.datetime.now(self.marketTimeZone)
Also caches multiple requests made in the same day.
if self.openTime < now.time():
Parameters startTime = now.replace(hour=9, minute=30)
---------- else:
symbol : str startTime = now - dt.timedelta(days=1)
Stock symbol.
if data := self.get(
Returns f"stocks/candles/{resolution}/{symbol}",
------- params={
pd.DataFrame "from": startTime.timestamp(),
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame. "to": now.timestamp(),
""" "extended": True,
schedule.run_pending() },
):
try: data.pop("s")
return self.charts[symbol.id.upper()] df = pd.DataFrame(data)
except KeyError: df["t"] = pd.to_datetime(df["t"], unit="s", utc=True)
pass df.set_index("t", inplace=True)
to_date = dt.datetime.today().strftime("%Y-%m-%d") df.rename(
from_date = (dt.datetime.today() - dt.timedelta(days=30)).strftime("%Y-%m-%d") columns={
resultion = "daily" "o": "Open",
"h": "High",
if data := self.get( "l": "Low",
f"stocks/candles/{resultion}/{symbol}", "c": "Close",
params={ "v": "Volume",
"from": from_date, },
"to": to_date, inplace=True,
}, )
):
data.pop("s") self.charts[symbol.id.upper()] = df
return df
df = pd.DataFrame(data)
df["t"] = pd.to_datetime(df["t"], unit="s") return pd.DataFrame()
df.set_index("t", inplace=True)
def chart_reply(self, symbol: Stock) -> pd.DataFrame:
df.rename( """Returns price data for a symbol of the past month up until the previous trading days close.
columns={ Also caches multiple requests made in the same day.
"o": "Open",
"h": "High", Parameters
"l": "Low", ----------
"c": "Close", symbol : str
"v": "Volume", Stock symbol.
},
inplace=True, Returns
) -------
pd.DataFrame
self.charts[symbol.id.upper()] = df Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
return df """
schedule.run_pending()
return pd.DataFrame()
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()
def options_reply(self, request: str) -> str:
"""Undocumented API Usage!"""
options_data = self.get(f"options/quotes/{request}")
for key in options_data.keys():
options_data[key] = options_data[key][0]
options_data["underlying"] = "$" + options_data["underlying"]
options_data["updated"] = humanize.naturaltime(dt.datetime.now() - dt.datetime.fromtimestamp(options_data["updated"]))
options_data["expiration"] = humanize.naturaltime(
dt.datetime.now() - dt.datetime.fromtimestamp(options_data["expiration"])
)
options_data["firstTraded"] = humanize.naturaltime(
dt.datetime.now() - dt.datetime.fromtimestamp(options_data["firstTraded"])
)
rename = {
"optionSymbol": "Option Symbol",
"underlying": "Underlying",
"expiration": "Expiration",
"side": "side",
"strike": "strike",
"firstTraded": "First Traded",
"updated": "Last Updated",
"bid": "bid",
"bidSize": "bidSize",
"mid": "mid",
"ask": "ask",
"askSize": "askSize",
"last": "last",
"openInterest": "Open Interest",
"volume": "Volume",
"inTheMoney": "inTheMoney",
"intrinsicValue": "Intrinsic Value",
"extrinsicValue": "Extrinsic Value",
"underlyingPrice": "Underlying Price",
"iv": "Implied Volatility",
"delta": "delta",
"gamma": "gamma",
"theta": "theta",
"vega": "vega",
"rho": "rho",
}
options_cleaned = OrderedDict()
for old, new in rename.items():
if old in options_data:
options_cleaned[new] = options_data[old]
return options_cleaned
+55 -50
View File
@@ -1,50 +1,55 @@
import pandas as pd import logging
import logging
import pandas as pd
class Symbol:
""" class Symbol:
symbol: What the user calls it. ie tsla or btc """
id: What the api expects. ie tsla or bitcoin symbol: What the user calls it. ie tsla or btc
name: Human readable. ie Tesla or Bitcoin id: What the api expects. ie tsla or bitcoin
tag: Uppercase tag to call the symbol. ie $TSLA or $$BTC name: Human readable. ie Tesla or Bitcoin
""" tag: Uppercase tag to call the symbol. ie $TSLA or $$BTC
"""
currency = "usd"
pass currency = "usd"
pass
def __init__(self, symbol) -> None:
self.symbol = symbol def __init__(self, symbol) -> None:
self.id = symbol self.symbol = symbol
self.name = symbol self.id = symbol
self.tag = "$" + symbol self.name = symbol
self.tag = "$" + symbol
def __repr__(self) -> str:
return f"<{self.__class__.__name__} instance of {self.id} at {id(self)}>" def __repr__(self) -> str:
return f"<{self.__class__.__name__} instance of {self.id} at {id(self)}>"
def __str__(self) -> str:
return self.id def __str__(self) -> str:
return self.id
class Stock(Symbol): def __hash__(self):
"""Stock Market Object. Gets data from MarketData""" return hash(self.id)
def __init__(self, symbol: str) -> None:
self.symbol = symbol class Stock(Symbol):
self.id = symbol """Stock Market Object. Gets data from MarketData"""
self.name = "$" + symbol.upper()
self.tag = "$" + symbol.lower() def __init__(self, symbol_info: dict) -> None:
self.symbol = symbol_info["ticker"]
self.id = symbol_info["ticker"]
class Coin(Symbol): self.name = symbol_info["title"]
"""Cryptocurrency Object. Gets data from CoinGecko.""" self.tag = "$" + symbol_info["ticker"]
self.market_cap_rank = symbol_info["mkt_cap_rank"]
def __init__(self, symbol: pd.DataFrame) -> None:
if len(symbol) > 1:
logging.info(f"Crypto with shared id:\n\t{symbol.id}") class Coin(Symbol):
symbol = symbol.head(1) """Cryptocurrency Object. Gets data from CoinGecko."""
self.symbol = symbol.symbol.values[0] def __init__(self, symbol: pd.DataFrame) -> None:
self.id = symbol.id.values[0] if len(symbol) > 1:
self.name = symbol.name.values[0] logging.info(f"Crypto with shared id:\n\t{symbol.id}")
self.tag = symbol.type_id.values[0].upper() 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()
+389 -367
View File
@@ -1,367 +1,389 @@
import logging import logging
from typing import List from typing import List
import pandas as pd import pandas as pd
import requests as r import requests as r
import schedule import schedule
from markdownify import markdownify from markdownify import markdownify
from common.Symbol import Coin
from common.Symbol import Coin from common.utilities import rate_limited
log = logging.getLogger(__name__) import time
log = logging.getLogger(__name__)
class cg_Crypto:
"""
Functions for finding crypto info class cg_Crypto:
""" """
Functions for finding crypto info
vs_currency = "usd" # simple/supported_vs_currencies for list of options """
trending_cache: List[str] = [] vs_currency = "usd" # simple/supported_vs_currencies for list of options
def __init__(self) -> None: trending_cache: List[str] = []
self.get_symbol_list()
schedule.every().day.do(self.get_symbol_list) def __init__(self) -> None:
self.get_symbol_list()
def get(self, endpoint, params: dict = {}, timeout=10) -> dict: schedule.every().day.do(self.get_symbol_list)
url = "https://api.coingecko.com/api/v3" + endpoint
resp = r.get(url, params=params, timeout=timeout) # Coingecko's rate limit is 30 requests per minute.
# Make sure API returned a proper status code # Since there are two bots sharing the same IP, we allocate half of that limit to each bot.
try: # This results in a rate limit of 15 requests per minute for each bot.
resp.raise_for_status() # Given this, the rate limit effectively becomes 1 request every 4 seconds for each bot.
except r.exceptions.HTTPError as e: @rate_limited(0.25)
log.error(e) def get(self, endpoint, params: dict = {}, timeout=10, retry_count=0, max_retries=3) -> dict:
return {} url = "https://api.coingecko.com/api/v3" + endpoint
resp = r.get(url, params=params, timeout=timeout)
# Make sure API returned valid JSON # Make sure API returned a proper status code
try:
resp_json = resp.json() if resp.status_code == 429:
return resp_json if retry_count >= max_retries:
except r.exceptions.JSONDecodeError as e: log.error(f"CoinGecko 429 retry limit ({max_retries}) exceeded for endpoint: {endpoint}")
log.error(e) return {}
return {}
backoff_time = (2**retry_count) * 10 # Exponential backoff: 10s, 20s, 40s
def symbol_id(self, symbol) -> str: log.warning(
try: f"CoinGecko returned 429 - Too Many Requests for endpoint: {endpoint}. Retry {retry_count + 1}/{max_retries} after {backoff_time}s."
return self.symbol_list[self.symbol_list["symbol"] == symbol]["id"].values[0] )
except KeyError: time.sleep(backoff_time)
return "" return self.get(
endpoint=endpoint, params=params, timeout=timeout, retry_count=retry_count + 1, max_retries=max_retries
def get_symbol_list(self): )
raw_symbols = self.get("/coins/list")
symbols = pd.DataFrame(data=raw_symbols) try:
resp.raise_for_status()
# Removes all binance-peg symbols except r.exceptions.HTTPError as e:
symbols = symbols[~symbols["id"].str.contains("binance-peg")] log.error(e)
return {}
symbols["description"] = "$$" + symbols["symbol"].str.upper() + ": " + symbols["name"]
symbols = symbols[["id", "symbol", "name", "description"]] # Make sure API returned valid JSON
symbols["type_id"] = "$$" + symbols["symbol"] try:
resp_json = resp.json()
self.symbol_list = symbols return resp_json
except r.exceptions.JSONDecodeError as e:
def status(self) -> str: log.error(e)
"""Checks CoinGecko /ping endpoint for API issues. return {}
Returns def symbol_id(self, symbol) -> str:
------- try:
str return self.symbol_list[self.symbol_list["symbol"] == symbol]["id"].values[0]
Human readable text on status of CoinGecko API except KeyError:
""" return ""
status = r.get(
"https://api.coingecko.com/api/v3/ping", def get_symbol_list(self):
timeout=5, raw_symbols = self.get("/coins/list")
) symbols = pd.DataFrame(data=raw_symbols)
try: # Removes all binance-peg symbols
status.raise_for_status() symbols = symbols[~symbols["id"].str.contains("binance-peg")]
return (
f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} seconds." symbols["description"] = "$$" + symbols["symbol"].str.upper() + ": " + symbols["name"]
) symbols = symbols[["id", "symbol", "name", "description"]]
except r.HTTPError: symbols["type_id"] = "$$" + symbols["symbol"]
return f"CoinGecko API returned an error code {status.status_code} in {status.elapsed.total_seconds()} seconds."
self.symbol_list = symbols
def price_reply(self, coin: Coin) -> str:
"""Returns current market price or after hours if its available for a given coin symbol. def status(self) -> str:
"""Checks CoinGecko /ping endpoint for API issues.
Parameters
---------- Returns
symbols : list -------
List of coin symbols. str
Human readable text on status of CoinGecko API
Returns """
------- status = r.get(
Dict[str, str] "https://api.coingecko.com/api/v3/ping",
Each symbol passed in is a key with its value being a human readable timeout=5,
markdown formatted string of the symbols price and movement. )
"""
try:
if resp := self.get( status.raise_for_status()
"/simple/price", return (
params={ f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} seconds."
"ids": coin.id, )
"vs_currencies": self.vs_currency, except r.HTTPError:
"include_24hr_change": "true", return f"CoinGecko API returned an error code {status.status_code} in {status.elapsed.total_seconds()} seconds."
},
): def price_reply(self, coin: Coin) -> str:
try: """Returns current market price or after hours if its available for a given coin symbol.
data = resp[coin.id]
Parameters
price = data[self.vs_currency] ----------
change = data[self.vs_currency + "_24h_change"] symbols : list
if change is None: List of coin symbols.
change = 0
except KeyError: Returns
return f"{coin.id} returned an error." -------
Dict[str, str]
message = f"The current price of {coin.name} is $**{price:,}**" Each symbol passed in is a key with its value being a human readable
markdown formatted string of the symbols price and movement.
# Determine wording of change text """
if change > 0:
message += f", the coin is currently **up {change:.3f}%** for today" if resp := self.get(
elif change < 0: "/simple/price",
message += f", the coin is currently **down {change:.3f}%** for today" params={
else: "ids": coin.id,
message += ", the coin hasn't shown any movement today." "vs_currencies": self.vs_currency,
"include_24hr_change": "true",
else: },
message = f"The price for {coin.name} is not available. If you suspect this is an error run `/status`" ):
try:
return message data = resp[coin.id]
def intra_reply(self, symbol: Coin) -> pd.DataFrame: price = data[self.vs_currency]
"""Returns price data for a symbol since the last market open. change = data[self.vs_currency + "_24h_change"]
if change is None:
Parameters change = 0
---------- except KeyError:
symbol : str return f"{coin.id} returned an error."
Stock symbol.
message = f"The current price of {coin.name} is $**{price:,}**"
Returns
------- # Determine wording of change text
pd.DataFrame if change > 0:
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame. 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"
if resp := self.get( else:
f"/coins/{symbol.id}/ohlc", message += ", the coin hasn't shown any movement today."
params={"vs_currency": self.vs_currency, "days": 1},
): else:
df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna() message = f"The price for {coin.name} is not available. If you suspect this is an error run `/status`"
df["Date"] = pd.to_datetime(df["Date"], unit="ms")
df = df.set_index("Date") return message
return df
def intra_reply(self, symbol: Coin) -> pd.DataFrame:
return pd.DataFrame() """Returns price data for a symbol since the last market open.
def chart_reply(self, symbol: Coin) -> pd.DataFrame: Parameters
"""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. symbol : str
Stock symbol.
Parameters
---------- Returns
symbol : str -------
Stock symbol. pd.DataFrame
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
Returns """
-------
pd.DataFrame if resp := self.get(
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame. f"/coins/{symbol.id}/ohlc",
""" params={"vs_currency": self.vs_currency, "days": 1},
):
if resp := self.get( df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna()
f"/coins/{symbol.id}/ohlc", df["Date"] = pd.to_datetime(df["Date"], unit="ms")
params={"vs_currency": self.vs_currency, "days": 30}, df = df.set_index("Date")
): return df
df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna()
df["Date"] = pd.to_datetime(df["Date"], unit="ms") return pd.DataFrame()
df = df.set_index("Date")
return df 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.
return pd.DataFrame() Also caches multiple requests made in the same day.
def stat_reply(self, symbol: Coin) -> str: Parameters
"""Gathers key statistics on coin. Mostly just CoinGecko scores. ----------
symbol : str
Parameters Stock symbol.
----------
symbol : Coin Returns
-------
Returns pd.DataFrame
------- Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
str """
Preformatted markdown.
""" if resp := self.get(
f"/coins/{symbol.id}/ohlc",
if data := self.get( params={"vs_currency": self.vs_currency, "days": 30},
f"/coins/{symbol.id}", ):
params={ df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna()
"localization": "false", df["Date"] = pd.to_datetime(df["Date"], unit="ms")
}, df = df.set_index("Date")
): return df
return f"""
[{data['name']}]({data['links']['homepage'][0]}) Statistics: return pd.DataFrame()
Market Cap: ${data['market_data']['market_cap'][self.vs_currency]:,}
Market Cap Ranking: {data.get('market_cap_rank',"Not Available")} def stat_reply(self, symbol: Coin) -> str:
CoinGecko Scores: """Gathers key statistics on coin. Mostly just CoinGecko scores.
Overall: {data.get('coingecko_score','Not Available')}
Development: {data.get('developer_score','Not Available')} Parameters
Community: {data.get('community_score','Not Available')} ----------
Public Interest: {data.get('public_interest_score','Not Available')} symbol : Coin
"""
else: Returns
return f"{symbol.symbol} returned an error." -------
str
def cap_reply(self, coin: Coin) -> str: Preformatted markdown.
"""Gets market cap for Coin """
Parameters if data := self.get(
---------- f"/coins/{symbol.id}",
coin : Coin params={
"localization": "false",
Returns },
------- ):
str return f"""
Preformatted markdown. [{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")}
if resp := self.get( CoinGecko Scores:
"/simple/price", Overall: {data.get("coingecko_score", "Not Available")}
params={ Development: {data.get("developer_score", "Not Available")}
"ids": coin.id, Community: {data.get("community_score", "Not Available")}
"vs_currencies": self.vs_currency, Public Interest: {data.get("public_interest_score", "Not Available")}
"include_market_cap": "true", """
}, else:
): return f"{symbol.symbol} returned an error."
log.debug(resp)
try: def cap_reply(self, coin: Coin) -> str:
data = resp[coin.id] """Gets market cap for Coin
price = data[self.vs_currency] Parameters
cap = data[self.vs_currency + "_market_cap"] ----------
except KeyError: coin : Coin
return f"{coin.id} returned an error."
Returns
if cap == 0: -------
return f"The market cap for {coin.name} is not available for unknown reasons." str
Preformatted markdown.
message = ( """
f"The current price of {coin.name} is $**{price:,}** and"
+ " its market cap is $**{cap:,.2f}** {self.vs_currency.upper()}" if resp := self.get(
) "/simple/price",
params={
else: "ids": coin.id,
message = f"The Coin: {coin.name} was not found or returned and error." "vs_currencies": self.vs_currency,
"include_market_cap": "true",
return message },
):
def info_reply(self, symbol: Coin) -> str: log.debug(resp)
"""Gets coin description try:
data = resp[coin.id]
Parameters
---------- price = data[self.vs_currency]
symbol : Coin cap = data[self.vs_currency + "_market_cap"]
except KeyError:
Returns return f"{coin.id} returned an error."
-------
str if cap == 0:
Preformatted markdown. return f"The market cap for {coin.name} is not available for unknown reasons."
"""
message = (
if data := self.get( f"The current price of {coin.name} is $**{price:,}** and"
f"/coins/{symbol.id}", + f" its market cap is $**{cap:,.2f}** {self.vs_currency.upper()}"
params={"localization": "false"}, )
):
try: else:
return markdownify(data["description"]["en"]) message = f"The Coin: {coin.name} was not found or returned and error."
except KeyError:
return f"{symbol} does not have a description available." return message
return f"No information found for: {symbol}\nEither today is boring or the symbol does not exist." def info_reply(self, symbol: Coin) -> str:
"""Gets coin description
def spark_reply(self, symbol: Coin) -> str:
change = self.get( Parameters
"/simple/price", ----------
params={ symbol : Coin
"ids": symbol.id,
"vs_currencies": self.vs_currency, Returns
"include_24hr_change": "true", -------
}, str
)[symbol.id]["usd_24h_change"] Preformatted markdown.
"""
return f"`{symbol.tag}`: {symbol.name}, {change:.2f}%"
if data := self.get(
def trending(self) -> list[str]: f"/coins/{symbol.id}",
"""Gets current coins trending on coingecko params={"localization": "false"},
):
Returns try:
------- return markdownify(data["description"]["en"])
list[str] except KeyError:
list of $$ID: NAME, CHANGE% return f"{symbol} does not have a description available."
"""
return f"No information found for: {symbol}\nEither today is boring or the symbol does not exist."
coins = self.get("/search/trending")
try: def spark_reply(self, symbol: Coin) -> str:
trending = [] change = self.get(
for coin in coins["coins"]: "/simple/price",
c = coin["item"] params={
"ids": symbol.id,
sym = c["symbol"].upper() "vs_currencies": self.vs_currency,
name = c["name"] "include_24hr_change": "true",
change = self.get( },
"/simple/price", )[symbol.id]["usd_24h_change"]
params={
"ids": c["id"], return f"`{symbol.tag}`: {symbol.name}, {change:.2f}%"
"vs_currencies": self.vs_currency,
"include_24hr_change": "true", def trending(self) -> list[str]:
}, """Gets current coins trending on coingecko
)[c["id"]]["usd_24h_change"]
Returns
msg = f"`$${sym}`: {name}, {change:.2f}%" -------
list[str]
trending.append(msg) list of $$ID: NAME, CHANGE%
"""
except Exception as e:
log.warning(e) coins = self.get("/search/trending")
return self.trending_cache try:
trending = []
self.trending_cache = trending for coin in coins["coins"]:
return trending c = coin["item"]
def batch_price(self, coins: list[Coin]) -> list[str]: sym = c["symbol"].upper()
"""Gets price of a list of coins all in one API call name = c["name"]
change = self.get(
Parameters "/simple/price",
---------- params={
coins : list[Coin] "ids": c["id"],
"vs_currencies": self.vs_currency,
Returns "include_24hr_change": "true",
------- },
list[str] )[c["id"]]["usd_24h_change"]
returns preformatted list of strings detailing price movement of each coin passed in.
""" msg = f"`$${sym}`: {name}, {change:.2f}%"
query = ",".join([c.id for c in coins])
trending.append(msg)
prices = self.get(
"/simple/price", except Exception as e:
params={ log.warning(e)
"ids": query, return self.trending_cache
"vs_currencies": self.vs_currency,
"include_24hr_change": "true", self.trending_cache = trending
}, return trending
)
def batch_price(self, coins: list[Coin]) -> list[str]:
replies = [] """Gets price of a list of coins all in one API call
for coin in coins:
if coin.id in prices: Parameters
p = prices[coin.id] ----------
coins : list[Coin]
if p.get("usd_24h_change") is None:
p["usd_24h_change"] = 0 Returns
-------
replies.append( list[str]
f"{coin.name}: ${p.get('usd',0):,} and has moved {p.get('usd_24h_change',0.0):.2f}% in the past 24 hours." returns preformatted list of strings detailing price movement of each coin passed in.
) """
query = ",".join([c.id for c in coins])
return replies
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}: ${p.get('usd', 0):,} and has moved {p.get('usd_24h_change', 0.0):.2f}% in the past 24 hours."
)
return replies
+8 -6
View File
@@ -1,6 +1,8 @@
requests==2.31.0 cachetools==7.0.1
pandas==2.1.1 humanize==4.15.0
schedule==1.2.1 markdownify==1.2.2
mplfinance==0.12.10b0 mplfinance==0.12.10a7
markdownify==0.11.6 pandas==3.0.1
cachetools==5.3.1 requests==2.32.5
rush==2021.4.0
schedule==1.2.2
+406 -395
View File
@@ -1,395 +1,406 @@
"""Function that routes symbols to the correct API provider. """Function that routes symbols to the correct API provider."""
"""
import datetime
import datetime import logging
import logging import random
import random import re
import re from typing import Dict
import pandas as pd import pandas as pd
import schedule import schedule
from cachetools import TTLCache, cached from cachetools import TTLCache, cached
from common.cg_Crypto import cg_Crypto from common.cg_Crypto import cg_Crypto
from common.MarketData import MarketData from common.MarketData import MarketData
from common.Symbol import Coin, Stock, Symbol from common.Symbol import Coin, Stock, Symbol
from typing import Dict log = logging.getLogger(__name__)
log = logging.getLogger(__name__)
class Router:
STOCK_REGEX = "(?:^|[^\\$])\\$([a-zA-Z.]{1,6})"
class Router: CRYPTO_REGEX = "[$]{2}([a-zA-Z]{1,20})"
STOCK_REGEX = "(?:^|[^\\$])\\$([a-zA-Z.]{1,6})" trending_count: Dict[str, float] = {}
CRYPTO_REGEX = "[$]{2}([a-zA-Z]{1,20})"
trending_count: Dict[str, float] = {} def __init__(self):
self.stock = MarketData()
def __init__(self): self.crypto = cg_Crypto()
self.stock = MarketData()
self.crypto = cg_Crypto() schedule.every().hour.do(self.trending_decay)
schedule.every().hour.do(self.trending_decay) def trending_decay(self, decay=0.5):
"""Decays the value of each trending stock by a multiplier"""
def trending_decay(self, decay=0.5): t_copy = {}
"""Decays the value of each trending stock by a multiplier""" dead_keys = []
t_copy = {} if self.trending_count:
dead_keys = [] t_copy = self.trending_count.copy()
if self.trending_count: for key in t_copy.keys():
t_copy = self.trending_count.copy() if t_copy[key] < 0.01:
for key in t_copy.keys(): # Prune Keys
if t_copy[key] < 0.01: dead_keys.append(key)
# This just makes sure were not keeping around keys that havent been called in a very long time. else:
dead_keys.append(key) t_copy[key] = t_copy[key] * decay
else: for dead in dead_keys:
t_copy[key] = t_copy[key] * decay t_copy.pop(dead)
for dead in dead_keys:
t_copy.pop(dead) self.trending_count = t_copy.copy()
log.info("Decayed trending symbols.")
self.trending_count = t_copy.copy()
log.info("Decayed trending symbols.") def find_symbols(self, text: str, *, trending_weight: int = 1) -> list[Stock | Coin]:
"""Finds stock tickers starting with a dollar sign, and cryptocurrencies with two dollar signs
def find_symbols(self, text: str, *, trending_weight: int = 1) -> list[Stock | Symbol]: in a blob of text and returns them in a list.
"""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
----------
Parameters text : str
---------- Blob of text.
text : str
Blob of text. Returns
-------
Returns list[Symbol]
------- List of stock symbols as Symbol objects
list[Symbol] """
List of stock symbols as Symbol objects schedule.run_pending()
"""
schedule.run_pending() symbols: list[Symbol] = []
stock_matches = set(re.findall(self.STOCK_REGEX, text))
symbols: list[Symbol] = [] coin_matches = set(re.findall(self.CRYPTO_REGEX, text))
stocks = set(re.findall(self.STOCK_REGEX, text))
for stock in stocks: for stock_match in stock_matches:
# Market data lacks tools to check if a symbol is valid. # Market data lacks tools to check if a symbol is valid.
symbols.append(Stock(stock)) if stock_info := self.stock.symbol_id(stock_match):
symbols.append(Stock(stock_info))
coins = set(re.findall(self.CRYPTO_REGEX, text)) else:
for coin in coins: log.info(f"{stock_match} is not in list of stocks")
sym = self.crypto.symbol_list[self.crypto.symbol_list["symbol"].str.fullmatch(coin.lower(), case=False)]
if sym.empty: for coin_match in coin_matches:
log.info(f"{coin} is not in list of coins") sym = self.crypto.symbol_list[self.crypto.symbol_list["symbol"].str.fullmatch(coin_match.lower(), case=False)]
else: if sym.empty:
symbols.append(Coin(sym)) log.info(f"{coin_match} is not in list of coins")
if symbols: else:
for symbol in symbols: symbols.append(Coin(sym))
self.trending_count[symbol.tag] = self.trending_count.get(symbol.tag, 0) + trending_weight if symbols:
log.debug(self.trending_count) for symbol in symbols:
self.trending_count[symbol.tag] = self.trending_count.get(symbol.tag, 0) + trending_weight
return symbols log.debug(self.trending_count)
def status(self, bot_resp) -> str: return symbols
"""Checks for any issues with APIs.
def status(self, bot_resp) -> str:
Returns """Checks for any issues with APIs.
-------
str Returns
Human readable text on status of the bot and relevant APIs -------
""" str
Human readable text on status of the bot and relevant APIs
stats = f""" """
Bot Status:
{bot_resp} stats = f"""
Bot Status:
Stock Market Data: {bot_resp}
{self.stock.status()}
Stock Market Data:
Cryptocurrency Data: {self.stock.status()}
{self.crypto.status()}
""" Cryptocurrency Data:
{self.crypto.status()}
log.warning(stats) """
return stats log.warning(stats)
def inline_search(self, search: str, matches: int = 5) -> pd.DataFrame: return stats
"""Searches based on the shortest symbol that contains the same string as the search.
Should be very fast compared to a fuzzy search. 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.
Parameters Should be very fast compared to a fuzzy search.
----------
search : str Parameters
String used to match against symbols. ----------
search : str
Returns String used to match against symbols.
-------
list[tuple[str, str]] Returns
Each tuple contains: (Symbol, Issue Name). -------
""" 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 = pd.concat([self.stock.symbol_list, self.crypto.symbol_list])
df = df[df["description"].str.contains(search, regex=False, case=False)].sort_values( df = self.crypto.symbol_list
by="type_id", key=lambda x: x.str.len()
) 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] 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]: return symbols
"""Returns current market price or after hours if its available for a given stock symbol.
def price_reply(self, symbols: list[Symbol]) -> list[str]:
Parameters """Returns current market price or after hours if its available for a given stock symbol.
----------
symbols : list Parameters
List of stock symbols. ----------
symbols : list
Returns List of stock symbols.
-------
Dict[str, str] Returns
Each symbol passed in is a key with its value being a human readable -------
markdown formatted string of the symbols price and movement. Dict[str, str]
""" Each symbol passed in is a key with its value being a human readable
replies = [] markdown formatted string of the symbols price and movement.
"""
for symbol in symbols: replies = []
log.info(symbol)
if isinstance(symbol, Stock): for symbol in symbols:
replies.append(self.stock.price_reply(symbol)) log.info(symbol)
elif isinstance(symbol, Coin): if isinstance(symbol, Stock):
replies.append(self.crypto.price_reply(symbol)) replies.append(self.stock.price_reply(symbol))
else: elif isinstance(symbol, Coin):
log.info(f"{symbol} is not a Stock or Coin") replies.append(self.crypto.price_reply(symbol))
else:
return replies log.info(f"{symbol} is not a Stock or Coin")
def info_reply(self, symbols: list) -> list[str]: return replies
"""Gets information on stock symbols.
def info_reply(self, symbols: list) -> list[str]:
Parameters """Gets information on stock symbols.
----------
symbols : list[str] Parameters
List of stock symbols. ----------
symbols : list[str]
Returns List of stock symbols.
-------
Dict[str, str] Returns
Each symbol passed in is a key with its value being a human readable formatted -------
string of the symbols information. Dict[str, str]
""" Each symbol passed in is a key with its value being a human readable formatted
replies = [] string of the symbols information.
"""
for symbol in symbols: replies = []
if isinstance(symbol, Stock):
replies.append(self.stock.info_reply(symbol)) for symbol in symbols:
elif isinstance(symbol, Coin): if isinstance(symbol, Stock):
replies.append(self.crypto.info_reply(symbol)) replies.append(self.stock.info_reply(symbol))
else: elif isinstance(symbol, Coin):
log.debug(f"{symbol} is not a Stock or Coin") replies.append(self.crypto.info_reply(symbol))
else:
return replies log.debug(f"{symbol} is not a Stock or Coin")
def intra_reply(self, symbol: Symbol) -> pd.DataFrame: return replies
"""Returns price data for a symbol since the last market open.
def intra_reply(self, symbol: Symbol) -> pd.DataFrame:
Parameters """Returns price data for a symbol since the last market open.
----------
symbol : str Parameters
Stock symbol. ----------
symbol : str
Returns Stock symbol.
-------
pd.DataFrame Returns
Returns a timeseries dataframe with high, low, and volume data if its available. -------
Otherwise returns empty pd.DataFrame. 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): if isinstance(symbol, Stock):
return self.crypto.intra_reply(symbol) return self.stock.intra_reply(symbol)
else: elif isinstance(symbol, Coin):
log.debug(f"{symbol} is not a Stock or Coin") return self.crypto.intra_reply(symbol)
return pd.DataFrame() else:
log.debug(f"{symbol} is not a Stock or Coin")
def chart_reply(self, symbol: Symbol) -> pd.DataFrame: return 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. 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.
Parameters Also caches multiple requests made in the same day.
----------
symbol : str Parameters
Stock symbol. ----------
symbol : str
Returns Stock symbol.
-------
pd.DataFrame Returns
Returns a timeseries dataframe with high, low, and volume data if its available. -------
Otherwise returns empty pd.DataFrame. pd.DataFrame
""" Returns a timeseries dataframe with high, low, and volume data if its available.
if isinstance(symbol, Stock): Otherwise returns empty pd.DataFrame.
return self.stock.chart_reply(symbol) """
elif isinstance(symbol, Coin): if isinstance(symbol, Stock):
return self.crypto.chart_reply(symbol) return self.stock.chart_reply(symbol)
else: elif isinstance(symbol, Coin):
log.debug(f"{symbol} is not a Stock or Coin") return self.crypto.chart_reply(symbol)
return pd.DataFrame() else:
log.debug(f"{symbol} is not a Stock or Coin")
def stat_reply(self, symbols: list[Symbol]) -> list[str]: return pd.DataFrame()
"""Gets key statistics for each symbol in the list
def stat_reply(self, symbols: list[Symbol]) -> list[str]:
Parameters """Gets key statistics for each symbol in the list
----------
symbols : list[str] Parameters
List of stock symbols ----------
symbols : list[str]
Returns List of stock symbols
-------
Dict[str, str] Returns
Each symbol passed in is a key with its value being a human readable -------
formatted string of the symbols statistics. Dict[str, str]
""" Each symbol passed in is a key with its value being a human readable
replies = [] formatted string of the symbols statistics.
"""
for symbol in symbols: replies = []
if isinstance(symbol, Stock):
replies.append(self.stock.stat_reply(symbol)) for symbol in symbols:
elif isinstance(symbol, Coin): if isinstance(symbol, Stock):
replies.append(self.crypto.stat_reply(symbol)) replies.append(self.stock.stat_reply(symbol))
else: elif isinstance(symbol, Coin):
log.debug(f"{symbol} is not a Stock or Coin") replies.append(self.crypto.stat_reply(symbol))
else:
return replies log.debug(f"{symbol} is not a Stock or Coin")
def cap_reply(self, symbols: list[Symbol]) -> list[str]: return replies
"""Gets market cap for each symbol in the list
def cap_reply(self, symbols: list[Symbol]) -> list[str]:
Parameters """Gets market cap for each symbol in the list
----------
symbols : list[str] Parameters
List of stock symbols ----------
symbols : list[str]
Returns List of stock symbols
-------
Dict[str, str] Returns
Each symbol passed in is a key with its value being a human readable -------
formatted string of the symbols market cap. Dict[str, str]
""" Each symbol passed in is a key with its value being a human readable
replies = [] formatted string of the symbols market cap.
"""
for symbol in symbols: replies = []
if isinstance(symbol, Stock):
replies.append(self.stock.cap_reply(symbol)) for symbol in symbols:
elif isinstance(symbol, Coin): if isinstance(symbol, Stock):
replies.append(self.crypto.cap_reply(symbol)) replies.append(self.stock.cap_reply(symbol))
else: elif isinstance(symbol, Coin):
log.debug(f"{symbol} is not a Stock or Coin") replies.append(self.crypto.cap_reply(symbol))
else:
return replies log.debug(f"{symbol} is not a Stock or Coin")
def spark_reply(self, symbols: list[Symbol]) -> list[str]: return replies
"""Gets change for each symbol and returns it in a compact format
def spark_reply(self, symbols: list[Symbol]) -> list[str]:
Parameters """Gets change for each symbol and returns it in a compact format
----------
symbols : list[str] Parameters
List of stock symbols ----------
symbols : list[str]
Returns List of stock symbols
-------
list[str] Returns
List of human readable strings. -------
""" list[str]
replies = [] List of human readable strings.
"""
for symbol in symbols: replies = []
if isinstance(symbol, Stock):
replies.append(self.stock.spark_reply(symbol)) for symbol in symbols:
elif isinstance(symbol, Coin): if isinstance(symbol, Stock):
replies.append(self.crypto.spark_reply(symbol)) replies.append(self.stock.spark_reply(symbol))
else: elif isinstance(symbol, Coin):
log.debug(f"{symbol} is not a Stock or Coin") replies.append(self.crypto.spark_reply(symbol))
else:
return replies log.debug(f"{symbol} is not a Stock or Coin")
@cached(cache=TTLCache(maxsize=1024, ttl=600)) return replies
def trending(self) -> str:
"""Checks APIs for trending symbols. @cached(cache=TTLCache(maxsize=1024, ttl=600))
def trending(self) -> str:
Returns """Checks APIs for trending symbols.
-------
list[str] Returns
List of preformatted strings to be sent to user. -------
""" list[str]
List of preformatted strings to be sent to user.
# stocks = self.stock.trending() """
coins = self.crypto.trending()
# stocks = self.stock.trending()
reply = "" coins = self.crypto.trending()
log.warning(self.trending_count) reply = ""
if self.trending_count:
reply += "🔥Trending on the Stock Bot:\n`" log.warning(self.trending_count)
reply += "" * len("Trending on the Stock Bot:") + "`\n" if self.trending_count:
reply += "🔥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] reply += "" * len("Trending on the Stock Bot:") + "`\n"
log.warning(sorted_trending)
for t in sorted_trending: sorted_trending = [s[0] for s in sorted(self.trending_count.items(), key=lambda item: item[1])][::-1][0:5]
reply += self.spark_reply(self.find_symbols(t))[0] + "\n" log.warning(sorted_trending)
for t in sorted_trending:
if coins: reply += self.spark_reply(self.find_symbols(t))[0] + "\n"
reply += "\n\n🦎Trending on CoinGecko:\n`"
reply += "" * len("Trending on CoinGecko:") + "`\n" if coins:
for coin in coins: reply += "\n\n🦎Trending on CoinGecko:\n`"
reply += coin + "\n" reply += "" * len("Trending on CoinGecko:") + "`\n"
for coin in coins:
if "`$GME" in reply: reply += coin + "\n"
reply = reply.replace("🔥", "🦍")
if "`$GME" in reply:
if reply: reply = reply.replace("🔥", "🦍")
return reply
else: if reply:
log.warning("Failed to collect trending data.") return reply
return "Trending data is not currently available." else:
log.warning("Failed to collect trending data.")
def random_pick(self) -> str: return "Trending data is not currently available."
# choice = random.choice(list(self.stock.symbol_list["description"]) + list(self.crypto.symbol_list["description"]))
choice = random.choice(list(self.crypto.symbol_list["description"])) def random_pick(self) -> str:
hold = (datetime.date.today() + datetime.timedelta(random.randint(1, 365))).strftime("%b %d, %Y") # choice = random.choice(list(self.stock.symbol_list["description"]) + list(self.crypto.symbol_list["description"]))
choice = random.choice(list(self.crypto.symbol_list["description"]))
return f"{choice}\nBuy and hold until: {hold}" hold = (datetime.date.today() + datetime.timedelta(random.randint(1, 365))).strftime("%b %d, %Y")
def batch_price_reply(self, symbols: list[Symbol]) -> list[str]: return f"{choice}\nBuy and hold until: {hold}"
"""Returns current market price or after hours if its available for a given stock symbol.
def batch_price_reply(self, symbols: list[Symbol]) -> list[str]:
Parameters """Returns current market price or after hours if its available for a given stock symbol.
----------
symbols : list Parameters
List of stock symbols. ----------
symbols : list
Returns List of stock symbols.
-------
Dict[str, str] Returns
Each symbol passed in is a key with its value being a human readable -------
markdown formatted string of the symbols price and movement. Dict[str, str]
""" Each symbol passed in is a key with its value being a human readable
replies = [] markdown formatted string of the symbols price and movement.
stocks = [] """
coins = [] replies = []
stocks = []
for symbol in symbols: coins = []
if isinstance(symbol, Stock):
stocks.append(symbol) for symbol in symbols:
elif isinstance(symbol, Coin): if isinstance(symbol, Stock):
coins.append(symbol) stocks.append(symbol)
else: elif isinstance(symbol, Coin):
log.debug(f"{symbol} is not a Stock or Coin") coins.append(symbol)
else:
if stocks: log.debug(f"{symbol} is not a Stock or Coin")
for stock in stocks:
replies.append(self.stock.price_reply(stock)) if stocks:
if coins: for stock in stocks:
replies = replies + self.crypto.batch_price(coins) replies.append(self.stock.price_reply(stock))
if coins:
return replies replies = replies + self.crypto.batch_price(coins)
return replies
def options(self, request: str, symbols: list[Symbol]) -> Dict:
request = request.lower()
if len(symbols) == 1:
symbol = symbols[0]
request = request.replace(symbol.tag.lower(), symbol.symbol.lower())
return self.stock.options_reply(request)
else:
return self.stock.options_reply(request)
+31
View File
@@ -0,0 +1,31 @@
import time
import logging
log = logging.getLogger(__name__)
def rate_limited(max_per_second):
"""
Decorator that ensures the wrapped function is called at most `max_per_second` times per second.
"""
min_interval = 1.0 / max_per_second
def decorate(func):
last_called = [0.0]
def rate_limited_function(*args, **kwargs):
elapsed = time.time() - last_called[0]
left_to_wait = min_interval - elapsed
if left_to_wait > 0:
log.info(f"Rate limit exceeded. Waiting for {left_to_wait:.2f} seconds.")
time.sleep(left_to_wait)
ret = func(*args, **kwargs)
last_called[0] = time.time()
return ret
return rate_limited_function
return decorate
+12 -10
View File
@@ -1,10 +1,12 @@
-r common/requirements.txt -r common/requirements.txt
-r docs/requirements.txt -r site/requirements.txt
black==23.7.0 ipython==8.16.1
flake8==6.1.0 jupyter_client==8.4.0
Flake8-pyproject==1.2.3 jupyter_core==5.4.0
pylama==8.4.1 pylama==8.4.1
mypy==1.5.1 mypy==1.5.1
types-cachetools==5.3.0.6 types-cachetools==5.3.0.6
types-pytz==2023.3.0.1 types-pytz==2023.3.1.1
ruff==0.0.292 ruff==0.15.2
pytest==9.0.2
pytest-asyncio==0.25.3
+58 -59
View File
@@ -1,59 +1,58 @@
"""Functions and Info specific to the discord Bot """Functions and Info specific to the discord Bot"""
"""
import re
import re
import requests as r
import requests as r
class D_info:
class D_info: license = re.sub(
license = re.sub( r"\b\n",
r"\b\n", " ",
" ", r.get("https://gitlab.com/simple-stock-bots/simple-stock-bot/-/raw/master/LICENSE").text,
r.get("https://gitlab.com/simple-stock-bots/simple-discord-stock-bot/-/raw/master/LICENSE").text, )
)
help_text = """
help_text = """ Thanks for using this bot. If you like it, [support me with a beer](https://www.buymeacoffee.com/Anson). 🍻
Thanks for using this bot. If you like it, [support me with a beer](https://www.buymeacoffee.com/Anson). 🍻
For stock data or hosting your own bot, use my link. This helps keep the bot free:
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).
[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord).
**Updates**: Join the bot's discord: https://t.me/simplestockbotnews.
**Updates**: Join the bot's discord: https://t.me/simplestockbotnews.
**Documentation**: All details about the bot are at [docs](https://simplestockbot.com).
**Documentation**: All details about the bot are at [docs](https://docs.simplestockbot.com).
The bot reads _"Symbols"_. Use `$` for stock tickers and `$$` for cryptocurrencies. For example:
The bot reads _"Symbols"_. Use `$` for stock tickers and `$$` for cryptocurrencies. For example: - `/chart $$eth` gives Ethereum's monthly chart.
- `/chart $$eth` gives Ethereum's monthly chart. - `/dividend $psec` shows Prospect Capital's dividend.
- `/dividend $psec` shows Prospect Capital's dividend.
Type any symbol, and the bot shows its price. Like: `Is $$btc rising since $tsla accepts it?` will give Bitcoin and Tesla prices.
Type any symbol, and the bot shows its price. Like: `Is $$btc rising since $tsla accepts it?` will give Bitcoin and Tesla prices.
**Commands**
**Commands** - `/donate [USD amount]`: Support the bot. 🎗️
- `/donate [USD amount]`: Support the bot. 🎗️ - `/intra $[symbol]`: See stock's latest movement. 📈
- `/intra $[symbol]`: See stock's latest movement. 📈 - `/chart $[symbol]`: View a month's stock activity. 📊
- `/chart $[symbol]`: View a month's stock activity. 📊 - `/trending`: Check trending stocks and cryptos. 💬
- `/trending`: Check trending stocks and cryptos. 💬 - `/help`: Need help? Ask here. 🆘
- `/help`: Need help? Ask here. 🆘
**Inline Features**
**Inline Features** Type @SimpleStockBot `[search]` anywhere to find and get stock/crypto prices. Note: Prices might be delayed up to an hour.
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).
Data from: [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord).
Issues with the bot? Use `/status` or [contact us](https://simplestockbot.com/contact).
Issues with the bot? Use `/status` or [contact us](https://docs.simplestockbot.com/contact). """
"""
donate_text = """
donate_text = """ Simple Stock Bot runs purely on [donations.](https://www.buymeacoffee.com/Anson)
Simple Stock Bot runs purely on [donations.](https://www.buymeacoffee.com/Anson) Every donation supports server costs and
Every donation supports server costs and [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord) provides our data.
[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord) provides our data.
**How to Donate?**
**How to Donate?** 1. Use `/donate [amount in USD]` command.
1. Use `/donate [amount in USD]` command. - E.g., `/donate 2` donates 2 USD.
- E.g., `/donate 2` donates 2 USD. 2. Or, donate at [buymeacoffee](https://www.buymeacoffee.com/Anson).
2. Or, donate at [buymeacoffee](https://www.buymeacoffee.com/Anson). - It's quick, doesn't need an account, and accepts Paypal or Credit card.
- It's quick, doesn't need an account, and accepts Paypal or Credit card.
Questions? Visit our [website](https://simplestockbot.com).
Questions? Visit our [website](https://docs.simplestockbot.com). """
"""
+19 -19
View File
@@ -1,19 +1,19 @@
FROM python:3.11-buster AS builder FROM python:3.12-bookworm AS builder
COPY discord/discord-reqs.txt . COPY discord/discord-reqs.txt .
COPY common/requirements.txt . COPY common/requirements.txt .
RUN pip install --user -r discord-reqs.txt RUN pip install --user -r discord-reqs.txt
FROM python:3.11-slim FROM python:3.12-slim
ENV MPLBACKEND=Agg ENV MPLBACKEND=Agg
COPY --from=builder /root/.local /root/.local COPY --from=builder /root/.local /root/.local
COPY common common COPY common common
COPY discord . COPY discord .
CMD [ "python", "./bot.py" ] CMD [ "python", "./bot.py" ]
+254 -202
View File
@@ -1,202 +1,254 @@
import datetime import datetime
import io import io
import logging import logging
import os import os
import mplfinance as mpf import mplfinance as mpf
import nextcord import nextcord
from nextcord.ext import commands from D_info import D_info
from nextcord.ext import commands
from D_info import D_info
from common.symbol_router import Router from common.symbol_router import Router
DISCORD_TOKEN = os.environ["DISCORD"] DISCORD_TOKEN = os.environ["DISCORD"]
s = Router() s = Router()
d = D_info() d = D_info()
intents = nextcord.Intents.default() intents = nextcord.Intents.default()
client = nextcord.Client(intents=intents) client = nextcord.Client(intents=intents)
bot = commands.Bot(command_prefix="/", description=d.help_text, intents=intents) bot = commands.Bot(command_prefix="/", description=d.help_text, intents=intents)
logger = logging.getLogger("nextcord") logger = logging.getLogger("nextcord")
logger.setLevel(logging.INFO) logger.setLevel(logging.INFO)
handler = logging.FileHandler(filename="nextcord.log", encoding="utf-8", mode="w") handler = logging.FileHandler(filename="nextcord.log", encoding="utf-8", mode="w")
handler.setFormatter(logging.Formatter("%(asctime)s:%(levelname)s:%(name)s: %(message)s")) handler.setFormatter(logging.Formatter("%(asctime)s:%(levelname)s:%(name)s: %(message)s"))
logger.addHandler(handler) logger.addHandler(handler)
@bot.event @bot.event
async def on_ready(): async def on_ready():
logging.info("Starting Simple Stock Bot") logging.info("Starting Simple Stock Bot")
logging.info(f"Logged in as {bot.user.name} {bot.user.id}") logging.info(f"Logged in as {bot.user.name} {bot.user.id}")
@bot.command() @bot.command()
async def status(ctx: commands): async def status(ctx: commands):
"""Debug command for diagnosing if the bot is experiencing any issues.""" """Debug command for diagnosing if the bot is experiencing any issues."""
logging.warning(f"Status command ran by {ctx.message.author}") logging.info(f"Status command ran by {ctx.message.author}")
message = "" message = ""
try: try:
message = "Contact MisterBiggs#0465 if you need help.\n" message = "Contact MisterBiggs#0465 if you need help.\n"
message += s.status(f"Bot recieved your message in: {bot.latency*10:.4f} seconds") + "\n" message += s.status(f"Bot recieved your message in: {bot.latency * 10:.4f} seconds") + "\n"
except Exception as ex: except Exception as ex:
logging.critical(ex) logging.critical(ex)
message += ( message += (
f"*\n\nERROR ENCOUNTERED:*\n{ex}\n\n" f"*\n\nERROR ENCOUNTERED:*\n{ex}\n\n"
+ "*The bot encountered an error while attempting to find errors. Please contact the bot admin.*" + "*The bot encountered an error while attempting to find errors. Please contact the bot admin.*"
) )
await ctx.send(message) await ctx.send(message)
@bot.command() @bot.command()
async def license(ctx: commands): async def license(ctx: commands):
"""Returns the bots license agreement.""" """Returns the bots license agreement."""
await ctx.send(d.license) await ctx.send(d.license)
@bot.command() @bot.command()
async def donate(ctx: commands): async def donate(ctx: commands):
"""Details on how to support the development and hosting of the bot.""" """Details on how to support the development and hosting of the bot."""
await ctx.send(d.donate_text) await ctx.send(d.donate_text)
@bot.command() @bot.command()
async def search(ctx: commands, *, query: str): async def search(ctx: commands, *, query: str):
"""Search for a stock symbol using either symbol of company name.""" """Search for a stock symbol using either symbol of company name."""
results = s.search_symbols(query) results = s.search_symbols(query)
if results: if results:
reply = "*Search Results:*\n`$ticker: Company Name`\n" reply = "*Search Results:*\n`$ticker: Company Name`\n"
for query in results: for query in results:
reply += "`" + query[1] + "`\n" reply += "`" + query[1] + "`\n"
await ctx.send(reply) await ctx.send(reply)
@bot.command() @bot.command()
async def crypto(ctx: commands, _: str): async def crypto(ctx: commands, _: str):
"""Get the price of a cryptocurrency using in USD.""" """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` `$$doge`") await ctx.send("Crypto now has native support. Any crypto can be called using two dollar signs: `$$eth` `$$btc` `$$doge`")
@bot.command() @bot.command()
async def intra(ctx: commands, sym: str): async def intra(ctx: commands, sym: str):
"""Get a chart for the stocks movement since market open.""" """Get a chart for the stocks movement since market open."""
symbols = s.find_symbols(sym) symbols = s.find_symbols(sym)
if len(symbols): if len(symbols):
symbol = symbols[0] symbol = symbols[0]
else: else:
await ctx.send("No symbols or coins found.") await ctx.send("No symbols or coins found.")
return return
df = s.intra_reply(symbol) df = s.intra_reply(symbol)
if df.empty: if df.empty:
await ctx.send("Invalid symbol please see `/help` for usage details.") await ctx.send("Invalid symbol please see `/help` for usage details.")
return return
with ctx.channel.typing(): with ctx.channel.typing():
buf = io.BytesIO() buf = io.BytesIO()
mpf.plot( mpf.plot(
df, df,
type="renko", type="renko",
title=f"\n{symbol.name}", title=f"\n{symbol.name}",
volume="volume" in df.keys(), volume="volume" in df.keys(),
style="yahoo", style="yahoo",
savefig=dict(fname=buf, dpi=400, bbox_inches="tight"), savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
) )
buf.seek(0) buf.seek(0)
# Get price so theres no request lag after the image is sent # Get price so theres no request lag after the image is sent
price_reply = s.price_reply([symbol])[0] price_reply = s.price_reply([symbol])[0]
await ctx.send( await ctx.send(
file=nextcord.File( file=nextcord.File(
buf, buf,
filename=f"{symbol.name}:intra{datetime.date.today().strftime('%S%M%d%b%Y')}.png", 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" 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')}", + f" {df.last_valid_index().strftime('%d %b at %H:%M')}",
) )
await ctx.send(price_reply) await ctx.send(price_reply)
@bot.command() @bot.command()
async def chart(ctx: commands, sym: str): async def chart(ctx: commands, sym: str):
"""returns a chart of the past month of data for a symbol""" """returns a chart of the past month of data for a symbol"""
symbols = s.find_symbols(sym) symbols = s.find_symbols(sym)
if len(symbols): if len(symbols):
symbol = symbols[0] symbol = symbols[0]
else: else:
await ctx.send("No symbols or coins found.") await ctx.send("No symbols or coins found.")
return return
df = s.chart_reply(symbol) df = s.chart_reply(symbol)
if df.empty: if df.empty:
await ctx.send("Invalid symbol please see `/help` for usage details.") await ctx.send("Invalid symbol please see `/help` for usage details.")
return return
with ctx.channel.typing(): with ctx.channel.typing():
buf = io.BytesIO() buf = io.BytesIO()
mpf.plot( mpf.plot(
df, df,
type="candle", type="candle",
title=f"\n{symbol.name}", title=f"\n{symbol.name}",
volume="volume" in df.keys(), volume="volume" in df.keys(),
style="yahoo", style="yahoo",
savefig=dict(fname=buf, dpi=400, bbox_inches="tight"), savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
) )
buf.seek(0) buf.seek(0)
# Get price so theres no request lag after the image is sent # Get price so theres no request lag after the image is sent
price_reply = s.price_reply([symbol])[0] price_reply = s.price_reply([symbol])[0]
await ctx.send( await ctx.send(
file=nextcord.File( file=nextcord.File(
buf, buf,
filename=f"{symbol.name}:1M{datetime.date.today().strftime('%d%b%Y')}.png", 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')}" 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')}", + f" to {df.last_valid_index().strftime('%d, %b %Y')}",
) )
await ctx.send(price_reply) await ctx.send(price_reply)
@bot.command() @bot.command()
async def cap(ctx: commands, sym: str): async def cap(ctx: commands, sym: str):
"""Get the market cap of a symbol""" """Get the market cap of a symbol"""
symbols = s.find_symbols(sym) symbols = s.find_symbols(sym)
if symbols: if symbols:
with ctx.channel.typing(): with ctx.channel.typing():
for reply in s.cap_reply(symbols): for reply in s.cap_reply(symbols):
await ctx.send(reply) await ctx.send(reply)
@bot.command() @bot.command()
async def trending(ctx: commands): async def trending(ctx: commands):
"""Get a list of Trending Stocks and Coins""" """Get a list of Trending Stocks and Coins"""
with ctx.channel.typing(): with ctx.channel.typing():
await ctx.send(s.trending()) await ctx.send(s.trending())
@bot.event @bot.event
async def on_message(message): async def on_message(message):
if message.author.id == bot.user.id: # Ignore messages from the bot itself
return if message.author.id == bot.user.id:
if message.content: return
if message.content[0] == "/":
await bot.process_commands(message) content_lower = message.content.lower()
return
# Process commands starting with "/"
if "$" in message.content: if message.content.startswith("/"):
symbols = s.find_symbols(message.content) await bot.process_commands(message)
return
if symbols:
for reply in s.price_reply(symbols): symbols = None
await message.channel.send(reply) if "$" in message.content:
return symbols = s.find_symbols(message.content)
if "call" in content_lower or "put" in content_lower:
bot.run(DISCORD_TOKEN) await handle_options(message, symbols)
return
if symbols:
for reply in s.price_reply(symbols):
await message.channel.send(reply)
return
async def handle_options(message, symbols):
logging.info("Options detected")
try:
options_data = s.options(message.content.lower(), symbols)
# Create the embed directly within the function
embed = nextcord.Embed(title=options_data["Option Symbol"], description=options_data["Underlying"], color=0x3498DB)
# Key details
details = f"Expiration: {options_data['Expiration']}\nSide: {options_data['side']}\nStrike: {options_data['strike']}"
embed.add_field(name="Details", value=details, inline=False)
# Pricing info
pricing_info = (
f"Bid: {options_data['bid']} (Size: {options_data['bidSize']})\n"
f"Mid: {options_data['mid']}\n"
f"Ask: {options_data['ask']} (Size: {options_data['askSize']})\n"
f"Last: {options_data['last']}"
)
embed.add_field(name="Pricing", value=pricing_info, inline=False)
# Volume and open interest
volume_info = f"Open Interest: {options_data['Open Interest']}\nVolume: {options_data['Volume']}"
embed.add_field(name="Activity", value=volume_info, inline=False)
# Greeks
greeks_info = (
f"IV: {options_data['Implied Volatility']}\n"
f"Delta: {options_data['delta']}\n"
f"Gamma: {options_data['gamma']}\n"
f"Theta: {options_data['theta']}\n"
f"Vega: {options_data['vega']}\n"
f"Rho: {options_data['rho']}"
)
embed.add_field(name="Greeks", value=greeks_info, inline=False)
# Send the created embed
await message.channel.send(embed=embed)
except KeyError as ex:
logging.warning(f"KeyError processing options for message {message.content}: {ex}")
bot.run(DISCORD_TOKEN)
+1 -1
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@@ -1,2 +1,2 @@
nextcord==2.4.2 nextcord==2.6.0
-r requirements.txt -r requirements.txt
+2 -3
View File
@@ -1,13 +1,12 @@
version: '3' version: "3"
services: services:
telegram: telegram:
build: build:
context: . context: .
dockerfile: telegram/Dockerfile dockerfile: telegram/Dockerfile
image: registry.gitlab.com/simple-stock-bots/simple-telegram-stock-bot
env_file: .env env_file: .env
discord: discord:
build: build:
context: . context: .
dockerfile: discord/Dockerfile dockerfile: discord/Dockerfile
env_file: .env env_file: .env
-12
View File
@@ -1,12 +0,0 @@
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 == $CI_DEFAULT_BRANCH'
-12
View File
@@ -1,12 +0,0 @@
{
"yaml.schemas": {
"https://squidfunk.github.io/mkdocs-material/schema.json": "mkdocs.yml"
},
"yaml.customTags": [
"!ENV scalar",
"!ENV sequence",
"tag:yaml.org,2002:python/name:materialx.emoji.to_svg",
"tag:yaml.org,2002:python/name:materialx.emoji.twemoji",
"tag:yaml.org,2002:python/name:pymdownx.superfences.fence_code_format"
]
}
-5
View File
@@ -1,5 +0,0 @@
mkdocs-material==9.4.4
# Required for Social Cards
Pillow==10.0.1
CairoSVG==2.7.1
+27
View File
@@ -0,0 +1,27 @@
{
"name": "simple-stock-bot",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"devDependencies": {
"prettier": "3.0.3"
}
},
"node_modules/prettier": {
"version": "3.0.3",
"resolved": "https://registry.npmjs.org/prettier/-/prettier-3.0.3.tgz",
"integrity": "sha512-L/4pUDMxcNa8R/EthV08Zt42WBO4h1rarVtK0K+QJG0X187OLo7l699jWw0GKuwzkPQ//jMFA/8Xm6Fh3J/DAg==",
"dev": true,
"bin": {
"prettier": "bin/prettier.cjs"
},
"engines": {
"node": ">=14"
},
"funding": {
"url": "https://github.com/prettier/prettier?sponsor=1"
}
}
}
}
+5
View File
@@ -0,0 +1,5 @@
{
"devDependencies": {
"prettier": "3.0.3"
}
}
-9
View File
@@ -1,11 +1,2 @@
[tool.black]
line-length = 130
[tool.flake8]
max-line-length = 130
[tool.pycodestyle]
max_line_length = 130
[tool.ruff] [tool.ruff]
line-length = 130 line-length = 130
View File
+23
View File
@@ -0,0 +1,23 @@
image: python:3.11
build_mkdocs:
stage: build_site
script:
- cd ./site
- pip install -r requirements.txt
- mkdocs build --site-dir ../public --verbose
artifacts:
paths:
- public
pages:
stage: deploy
script:
- echo "Publishing site..."
dependencies:
- build_mkdocs
artifacts:
paths:
- public
rules:
- if: "$CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH"
+12
View File
@@ -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"
]
}
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+5
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@@ -0,0 +1,5 @@
authors:
Anson:
name: Anson Biggs
description: Creator
avatar: https://gitlab.com/uploads/-/system/user/avatar/1377308/avatar.png
+1
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@@ -0,0 +1 @@
# Blog
+66
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@@ -0,0 +1,66 @@
---
title: "Introducing Simple Stock Bot: Your Chat Group's Financial Whiz"
date: 2023-10-10
tags: [Simple Stock Bot, Introduction, Telegram, Discord, Financial Insights]
authors: [Anson]
description: >
Welcome to the world of Simple Stock Bot, where real-time financial insights are integrated seamlessly into your group chats on Telegram and Discord!
---
## What is Simple Stock Bot?
Simple Stock Bot is a chatbot designed to enrich your financial discussions on Telegram and Discord. Regardless of whether you're a seasoned trader or a beginner in the stock market, this bot is here to make your discussions more informative and engaging.
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
I wonder how $tsla is affecting the price of $$btc
</div>
<div class="message from">
The current stock price of Tesla Inc is $866.57, the stock is currently up 1.68%
</div>
<div class="message from">
The current price of Bitcoin is $34,815, the coin is currently down -0.151% for today
</div>
</div>
</div>
<!-- more -->
With Simple Stock Bot, you can:
- **Fetch Real-time Quotes**: Obtain the latest stock and cryptocurrency prices instantly within your group chat.
- **View Charts**: Delve into intraday movements or assess a month's trading data right inside your group chat.
- **Stay Updated on Market Trends**: Discover what's buzzing in the stock and crypto spheres.
## Add the Bot to your Group
[:fontawesome-brands-telegram: Telegram](https://t.me/SimpleStockBot){ .md-button }
[:fontawesome-brands-discord: Discord](https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot){ .md-button }
## Using the Bot
Embarking on your journey with Simple Stock Bot is effortless. Just add the bot to your Telegram or Discord group, and you're all set to dive into financial discussions right from your chat!
Here are some simple commands to get you started:
- `/intra` to view intraday charts.
- `/chart` for a glimpse of the last month's trading data.
- `/trending` to catch up on the latest trending stocks and cryptocurrencies.
## Keeping It Free
Simple Stock Bot is a community-supported project, thriving on the contributions from its users. It's sustained entirely through donations to cover server costs and premium market data subscriptions, ensuring it remains free for everyone.
Feeling generous? You can support the project by [donating](https://simplestockbot.com/donate/), following on [Twitter](https://twitter.com/AnsonBiggs), or contributing on [GitLab](https://gitlab.com/simple-stock-bots/simple-stock-bot).
## Dive Deeper
Craving more insights and features? Explore the [official documentation](https://simplestockbot.com/) to uncover all the capabilities of Simple Stock Bot.
Get ready to elevate your financial discussions with Simple Stock Bot! Your group chats will never be the same again.
---
Stay tuned for more updates, tips, and financial insights brought to you by Simple Stock Bot. Heres to making every financial discussion enriched and informed!
@@ -0,0 +1,40 @@
---
title: "v2023.1 Release! New Stock Market Data Provider and More!"
date: 2023-10-16
tags: [Simple Stock Bot, Telegram, Discord, MarketDataApp]
authors: [Anson]
description: >
Discover the latest updates for Simple Stock Bot, including our new integration with MarketData.app for enhanced real-time stock market insights.
---
## 🌐 General Updates:
- **New Home**: We've transitioned to our fresh and updated website at [simplestockbot.com](https://simplestockbot.com/).
- **New Data Provider**: We're excited to announce [MarketData.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=web) as our new provider for real-time stock market data, ensuring timely and accurate insights for our users.
<!-- more -->
## 📈 MarketData.app Integration Enhancements:
- We've introduced **additional options** to our MarketData.app integration, ensuring even more precise and varied financial data.
- **Afterhours Data Fix**: Addressed an issue where after hours stock market data caused errors.
- **Trending Symbol Accuracy**: Fixed a bug that led to the display of invalid symbols in the `/trending` command.
## 🤖 Bot Improvements & Fixes:
- **Unified Repository**: To streamline our development and deployment, we've merged the Discord and Telegram bots into a single monorepo. Check it out on [GitLab](https://gitlab.com/simple-stock-bots/simple-stock-bot). Contributions welcome!
- **Inline Functionality Restoration**: Fixed the telegram bot's inline functionality.
- **Python Telegram Bot Update**: Migrated to the latest version of `Python Telegram Bot` for superior performance and more features.
- **Rate Limiting Addition**: Implemented rate limiting to ensure optimal performance during peak usage times.
- **SO MUCH MORE**: [Move to Marketdata.app GitLab Issues](https://gitlab.com/simple-stock-bots/simple-stock-bot/-/milestones/3)
## 📝 Documentation & Repository Overhauls:
- **Centralized Documentation**: For convenience and improved maintenance, we've shifted our documentation into the monorepo.
- **Documentation Refinement**: Updated our documentation to reflect the latest homepage details.
**Special Mention**: Immense gratitude to our dedicated community for their continual feedback and unwavering support. Dive deeper into the financial realm with Simple Stock Bot!
---
📥 For any concerns, queries, or feedback, don't hesitate to [Contact Us](../../contact.md).
+14
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@@ -0,0 +1,14 @@
---
title: "Simple Bot End-of-Life"
date: 2024-05-12
tags: [Simple Stock Bot, Introduction, Telegram, Discord, Financial Insights]
authors: [Anson]
description: >
Simple Stock Bot is being sunset.
---
## What is Simple Stock Bot?
For full details see my full blog post: [https://notes.ansonbiggs.com/simple-stock-bot-end-of-life/](https://notes.ansonbiggs.com/simple-stock-bot-end-of-life/)
I am shutting down Simple Stock Bot, a popular Telegram and Discord bot that provided live stock and cryptocurrency market data. The bot was created in 2018 after my group chat lost access to the Google Allo, which had integrated market data. The bot grew to 15,000 monthly active users, but maintaining the service has become challenging due to increasing data costs and changes to the Discord API. I really appreciate the community and everyone that has donated along the way, this has been a seriously great ride. The bot will soon no longer function on Telegram and Discord.
@@ -1,13 +1,16 @@
Symbols are used in headings to denote what platforms and symbol types a command supports. Symbols are used in headings to denote what platforms and symbol types a command supports.
- Telegram Only :fontawesome-brands-telegram-plane: - Telegram Only :fontawesome-brands-telegram:
- Discord Only :fontawesome-brands-discord: - Discord Only :fontawesome-brands-discord:
- Bot Commands :robot: - Bot Commands :robot:
- Cryptocurrency Support :material-currency-btc: - Cryptocurrency Support :material-currency-btc:
- Stock Market Support :bank: - Stock Market Support :bank:
- OTC Support :dollar:
## Symbol Detection :material-currency-btc: :bank: :dollar: ## Get the Bots
[:fontawesome-brands-telegram: Telegram](https://t.me/SimpleStockBot){ .md-button } [:fontawesome-brands-discord: Discord](https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot){ .md-button }
## Symbol Detection :material-currency-btc: :bank:
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 `$$btc`. These symbols can be in any part of a message and there can be multiple of them aswell. The Simple Stock Bot looks at every message it can see and tries to detect stock and cryptocurrency symbols. Stock market tickers are denoted with a single `$` and cryptocurrency coins are denoted with a double `$$`. So getting the price of Tesla is as simple as `$tsla` and Bitcoin `$$btc`. These symbols can be in any part of a message and there can be multiple of them aswell.
@@ -25,7 +28,13 @@ The Simple Stock Bot looks at every message it can see and tries to detect stock
</div> </div>
</div> </div>
## `/donate [Amount in USD]` :fontawesome-brands-telegram-plane: ## Options Detection :bank:
This command allows you to query real-time data for stock options. By simply inputting the stock symbol, strike price, month, and specifying either a call or a put, you can get the latest options data right at your fingertips. For example, `AAPL $220 December call` will provide the current data for Apple's call option with a $220 strike price expiring in December.
![Image of the telegram bot providing options info.](img/telegram_options.png)
## `/donate [Amount in USD]` :fontawesome-brands-telegram-plane:
The donate command is used to send money to the bot to help keep it free. The premium stock market data and server rentals add up so any amount helps. See the [Donate](donate.md) page for more information. The donate command is used to send money to the bot to help keep it free. The premium stock market data and server rentals add up so any amount helps. See the [Donate](donate.md) page for more information.
@@ -79,7 +88,7 @@ This command makes a chart of the last 1 month of trading data up until the day
</div> </div>
## `/trending` ## `/trending`
Gets the latest trending stocks and their change in price Gets the latest trending stocks and their change in price
@@ -94,7 +103,9 @@ Gets the latest trending stocks and their change in price
━━━━━━━━━━━━━━━━━━━━━━━━━━ ━━━━━━━━━━━━━━━━━━━━━━━━━━
$GME: Gamestop Corporation - Class A, 5.06% $GME: Gamestop Corporation - Class A, 5.06%
$MMAT: Meta Materials Inc, 4.77% $MMAT: Meta Materials Inc, 4.77%
$$BTC: Bitcoin, -0.83%
$$
BTC: Bitcoin, -0.83%
$$ETH: Ethereum, 6.06% $$ETH: Ethereum, 6.06%
$$DOGE: Binance-Peg Dogecoin, 0.14% $$DOGE: Binance-Peg Dogecoin, 0.14%
@@ -167,10 +178,11 @@ Bot Status:
</div> </div>
## Inline Features :fontawesome-brands-telegram: :material-currency-btc: :bank: :dollar: ## Inline Features :fontawesome-brands-telegram: :material-currency-btc: :bank:
You can type @SimpleStockBot `[search]` in any chat or direct message to search for the stock bots You can type @SimpleStockBot `[search]` in any chat or direct message to search for the stock bots
full list of stock symbols and return the price of the ticker. Then once you select the ticker full list of stock symbols and return the price of the ticker. Then once you select the ticker
want the bot will send a message as you in that chat with the latest stock price. want the bot will send a message as you in that chat with the latest stock price.
The bot also looks at every message in any chat it is in for stock symbols.Symbols start with a The bot also looks at every message in any chat it is in for stock symbols.Symbols start with a
`$` followed by the stock symbol. For example:$tsla would return price information for Tesla Motors. `$` followed by the stock symbol. For example:$tsla would return price information for Tesla Motors.
$$
@@ -5,4 +5,4 @@ Your feedback and experience with Simple Stock Bot is invaluable. Whether you've
- **Telegram**: Drop me a message on [Telegram](https://t.me/MisterBiggs). - **Telegram**: Drop me a message on [Telegram](https://t.me/MisterBiggs).
- **Discord**: Feel free to reach out on Discord at `MisterBiggs#0465`. - **Discord**: Feel free to reach out on Discord at `MisterBiggs#0465`.
- **Twitter**: Send me a tweet on [Twitter](https://twitter.com/AnsonBiggs). - **Twitter**: Send me a tweet on [Twitter](https://twitter.com/AnsonBiggs).
- **GitLab**: For technical issues or feature requests, feel free to open an issue on our [GitLab Repository](https://gitlab.com/simple-stock-bots/simple-telegram-stock-bot). - **GitLab**: For technical issues or feature requests, feel free to open an issue on our [GitLab Repository](https://gitlab.com/simple-stock-bots/simple-stock-bot).
+22 -15
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@@ -2,6 +2,10 @@
This guide provides step-by-step instructions for setting up and running this project on your local machine, whether for development, testing, or personal use. This guide provides step-by-step instructions for setting up and running this project on your local machine, whether for development, testing, or personal use.
## Get the Bots
[:fontawesome-brands-telegram: Telegram](https://t.me/SimpleStockBot){ .md-button } [:fontawesome-brands-discord: Discord](https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot){ .md-button }
## Pre-requisites ## Pre-requisites
Ensure the following are installed or obtained before proceeding: Ensure the following are installed or obtained before proceeding:
@@ -21,27 +25,30 @@ To enable donation acceptance, obtain a Stripe API key and provide a `STRIPE` ke
## Setup Instructions ## Setup Instructions
1. **Download/Clone the Repository**: 1. **Download/Clone the Repository**:
- Download or clone this repository to your local machine.
- Download or clone this repository to your local machine.
2. **Configure Environment Variables**: 2. **Configure Environment Variables**:
- Navigate to the project directory and locate the `.env` file.
- Fill in the `.env` file with your obtained API keys:
```plaintext - Navigate to the project directory and locate the `.env` file.
MARKETDATA=your_marketdata_api_key - Fill in the `.env` file with your obtained API keys:
STRIPE=your_stripe_api_key
TELEGRAM=your_telegram_api_key
DISCORD=your_discord_api_key
```
Alternatively, pass the variables using Docker Compose environment variables or command-line arguments. ```plaintext
MARKETDATA=your_marketdata_api_key
STRIPE=your_stripe_api_key
TELEGRAM=your_telegram_api_key
DISCORD=your_discord_api_key
```
Alternatively, pass the variables using Docker Compose environment variables or command-line arguments.
3. **Build and Run the Bot:** 3. **Build and Run the Bot:**
- Open a terminal in the project directory.
- Build and run both bots using Docker Compose:
```bash - Open a terminal in the project directory.
docker-compose up - Build and run both bots using Docker Compose:
```
```bash
docker-compose up
```
Now, your bot(s) should be up and running! If you're unfamiliar with Docker, reviewing the [Docker documentation](https://docs.docker.com/) is highly recommended to gain better control over your bot and understand Docker commands better. Now, your bot(s) should be up and running! If you're unfamiliar with Docker, reviewing the [Docker documentation](https://docs.docker.com/) is highly recommended to gain better control over your bot and understand Docker commands better.

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@@ -2,28 +2,38 @@
Discover a new level of financial discussion with Simple Stock Bot, your go-to solution for real-time stock market and cryptocurrency insights within your Telegram or Discord group chats. Transform your everyday discussions into an interactive financial exploration experience. With Simple Stock Bot, keeping up with the stock market or cryptocurrency trends has never been more seamless and engaging. Discover a new level of financial discussion with Simple Stock Bot, your go-to solution for real-time stock market and cryptocurrency insights within your Telegram or Discord group chats. Transform your everyday discussions into an interactive financial exploration experience. With Simple Stock Bot, keeping up with the stock market or cryptocurrency trends has never been more seamless and engaging.
## Get the Bots
[:fontawesome-brands-telegram: Telegram](https://t.me/SimpleStockBot){ .md-button } [:fontawesome-brands-discord: Discord](https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot){ .md-button }
## [Commands](commands.md) ## [Commands](commands.md)
### Real-Time Stock and Cryptocurrency Updates ### Real-Time Stock and Cryptocurrency Updates
- Get live price updates of stocks and cryptocurrencies. - Get live price updates of stocks and cryptocurrencies.
- Symbol Detection: Use `$` for stocks and `$$` for cryptocurrencies, e.g., `$tsla` for Tesla and `$$btc` for Bitcoin. - Symbol Detection: Use `$` for stocks and `$$` for cryptocurrencies, e.g., `$tsla` for Tesla and `$$btc` for Bitcoin.
### Intraday and Historical Data Visualization ### Intraday and Historical Data Visualization
- `/intra`: View a stock's movement since the last market open or a cryptocurrency's 24-hour chart. - `/intra`: View a stock's movement since the last market open or a cryptocurrency's 24-hour chart.
- `/chart`: Provides a chart of the last month's trading data up till the day before. - `/chart`: Provides a chart of the last month's trading data up till the day before.
### Trending Assets Awareness ### Trending Assets Awareness
- `/trending`: Discover the latest trending stocks and cryptocurrencies and their price changes. - `/trending`: Discover the latest trending stocks and cryptocurrencies and their price changes.
### In-App Assistance and Support ### In-App Assistance and Support
- `/help`: Provides a quick summary of available commands for easy reference. - `/help`: Provides a quick summary of available commands for easy reference.
- `/donate`: Support the maintenance of the bot to ensure continued free access. - `/donate`: Support the maintenance of the bot to ensure continued free access.
### User-Friendly Interaction ### User-Friendly Interaction
- Easy symbol and command usage for a smooth user experience. - Easy symbol and command usage for a smooth user experience.
- Engage with a community of financial enthusiasts and share insights effortlessly. - Engage with a community of financial enthusiasts and share insights effortlessly.
## [Contact](contact.md) ## [Contact](contact.md)
Need assistance or have inquiries? Feel free to reach out and I'll be happy to help. Need assistance or have inquiries? Feel free to reach out and I'll be happy to help.
## Powered by MarketData.app ## Powered by MarketData.app
+7 -11
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@@ -1,23 +1,23 @@
site_name: Simple Stock Bot site_name: Simple Stock Bot
site_url: https://simplestockbot.com site_url: https://simplestockbot.com
edit_uri: /simple-stock-bots/site/tree/master/docs repo_url: https://gitlab.com/simple-stock-bots/simple-stock-bot
repo_url: https://gitlab.com/simple-stock-bots/simple-telegram-stock-bot
repo_name: Simple Stock Bots repo_name: Simple Stock Bots
site_description: Simple Discord and Telegram chat bots for Stock Market Data. site_description: Simple Discord and Telegram chat bots for Stock Market Data.
site_author: Anson Biggs site_author: Anson Biggs
copyright: <a href="https://ansonbiggs.com">Anson Biggs</a> 2018 </br> Available Under an <a href="/LICENSE/">MIT LICENSE</a> </br> copyright: <a href="https://ansonbiggs.com">Anson Biggs</a> 2018 </br> Available Under an <a href="/LICENSE/">MIT LICENSE</a> </br>
nav: nav:
- Home: index.md - Home: index.md
- Commands: commands.md - Commands: commands.md
- Self-Host: host.md - Self-Host: host.md
- Donate: donate.md # - Donate: donate.md
- Contact: contact.md - Contact: contact.md
- Blog: blog/index.md
theme: theme:
name: material name: material
custom_dir: overrides
language: en language: en
features: features:
- navigation.instant - navigation.instant
@@ -55,23 +55,19 @@ extra:
link: https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=web link: https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=web
name: MarketData.app for stock data name: MarketData.app for stock data
extra_css: extra_css:
- stylesheets/phone.css - stylesheets/phone.css
plugins: plugins:
- search - search
- social - social
- blog
markdown_extensions: markdown_extensions:
- attr_list - attr_list
- pymdownx.emoji: - pymdownx.emoji:
emoji_index: !!python/name:materialx.emoji.twemoji emoji_index: !!python/name:material.extensions.emoji.twemoji
emoji_generator: !!python/name:materialx.emoji.to_svg emoji_generator: !!python/name:material.extensions.emoji.to_svg
- admonition - admonition
- pymdownx.details - pymdownx.details
- pymdownx.superfences - pymdownx.superfences
+17
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@@ -0,0 +1,17 @@
{% extends "base.html" %}
<!-- Announcement bar -->
{% block announce %}
<div class="admonition danger" style="min-height: 20vh;">
<p class="admonition-title">This project is now archived!</p>
<p>
Please
<a href="/blog/2024/05/12/simple-bot-end-of-life/"
>click here for more information.</a
>
</p>
</div>
<div class="" admoniton></div>
{% endblock %}
+6
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@@ -0,0 +1,6 @@
mkdocs-material==9.5.22
mkdocs-material-extensions==1.3.1
# Required for Social Cards
Pillow==10.0.1
CairoSVG==2.7.1
+22 -22
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@@ -1,22 +1,22 @@
FROM python:3.11-buster AS builder FROM python:3.12-bookworm AS builder
COPY telegram/telegram-reqs.txt . COPY telegram/telegram-reqs.txt .
COPY common/requirements.txt . COPY common/requirements.txt .
RUN pip install --user -r telegram-reqs.txt RUN pip install --user -r telegram-reqs.txt
FROM python:3.11-slim FROM python:3.12-slim
ENV MPLBACKEND=Agg ENV MPLBACKEND=Agg
COPY --from=builder /root/.local /root/.local COPY --from=builder /root/.local /root/.local
COPY common common COPY common common
COPY telegram . COPY telegram .
CMD [ "python", "./bot.py" ] CMD [ "python", "./bot.py" ]
+69 -70
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@@ -1,70 +1,69 @@
"""Functions and Info specific to the Telegram Bot """Functions and Info specific to the Telegram Bot"""
"""
import re
import re
import requests as r
import requests as r
class T_info:
class T_info: license = re.sub(
license = re.sub( r"\b\n",
r"\b\n", " ",
" ", r.get("https://gitlab.com/simple-stock-bots/simple-stock-bot/-/raw/master/LICENSE").text,
r.get("https://gitlab.com/simple-stock-bots/simple-telegram-stock-bot/-/raw/master/LICENSE").text, )
)
help_text = """
help_text = """ Appreciate this bot? Show support by [buying me a beer](https://www.buymeacoffee.com/Anson) 🍻.
Appreciate this bot? Show support by [buying me a beer](https://www.buymeacoffee.com/Anson) 🍻.
Want stock data or to host your own bot? Help keep this bot free by using my
Want stock data or to host your own bot? Help keep this bot free by using my [affiliate link](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram).
[affiliate link](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram).
📢 Stay updated on the bot's Telegram: https://t.me/simplestockbotnews.
📢 Stay updated on the bot's Telegram: https://t.me/simplestockbotnews.
**Guide**: All about using and setting up the bot is in the [docs](https://simplestockbot.com).
**Guide**: All about using and setting up the bot is in the [docs](https://docs.simplestockbot.com).
The bot recognizes _"Symbols"_. `$` for stocks and `$$` for cryptos. Example:
The bot recognizes _"Symbols"_. `$` for stocks and `$$` for cryptos. Example: - `/chart $$eth` gets a month's Ethereum chart.
- `/chart $$eth` gets a month's Ethereum chart. - `/dividend $psec` shows Prospect Capital's dividend info.
- `/dividend $psec` shows Prospect Capital's dividend info.
Mention a symbol, and the bot reveals its price.
Mention a symbol, and the bot reveals its price. E.g., `What's $$btc's price since $tsla accepts it?` gives Bitcoin and Tesla prices.
E.g., `What's $$btc's price since $tsla accepts it?` gives Bitcoin and Tesla prices.
**Commands**
**Commands** - `/donate [USD]`: Support the bot. 🎗️
- `/donate [USD]`: Support the bot. 🎗️ - `/intra $[symbol]`: Today's stock activity. 📈
- `/intra $[symbol]`: Today's stock activity. 📈 - `/chart $[symbol]`: Past month's stock chart. 📊
- `/chart $[symbol]`: Past month's stock chart. 📊 - `/trending`: What's hot in stocks and cryptos. 💬
- `/trending`: What's hot in stocks and cryptos. 💬 - `/help`: Bot assistance. 🆘
- `/help`: Bot assistance. 🆘
**Inline Features**
**Inline Features** Search with @SimpleStockBot `[query]` anywhere.
Search with @SimpleStockBot `[query]` anywhere. Pick a ticker, and the bot shares the current price in chat. Note: Prices can lag by an hour.
Pick a ticker, and the bot shares the current price in chat. Note: Prices can lag by an hour.
Data thanks to [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram).
Data thanks to [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram).
Bot issues? Use `/status` or [contact us](https://simplestockbot.com/contact).
Bot issues? Use `/status` or [contact us](https://docs.simplestockbot.com/contact).
"""
"""
donate_text = """
donate_text = """ Support Simple Stock Bot through [donations](https://www.buymeacoffee.com/Anson).
Support Simple Stock Bot through [donations](https://www.buymeacoffee.com/Anson). All funds help maintain servers, with data from
All funds help maintain servers, with data from [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram).
[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram).
**How to Donate?**
**How to Donate?** 1. Use `/donate [amount in USD]`. E.g., `/donate 2` donates 2 USD.
1. Use `/donate [amount in USD]`. E.g., `/donate 2` donates 2 USD. 2. Or, quickly donate at [buymeacoffee](https://www.buymeacoffee.com/Anson). No account needed, accepts Paypal & Credit card.
2. Or, quickly donate at [buymeacoffee](https://www.buymeacoffee.com/Anson). No account needed, accepts Paypal & Credit card.
For questions, visit our [website](https://simplestockbot.com).
For questions, visit our [website](https://docs.simplestockbot.com). """
"""
# Not used by the bot but for updating commands with BotFather
# Not used by the bot but for updating commands with BotFather commands = """
commands = """ donate - Donate to the bot 🎗️
donate - Donate to the bot 🎗️ help - Get some help using the bot. 🆘
help - Get some help using the bot. 🆘 trending - Trending Stocks and Cryptos. 💬
trending - Trending Stocks and Cryptos. 💬 intra - $[symbol] Plot since the last market open. 📈
intra - $[symbol] Plot since the last market open. 📈 chart - $[chart] Plot of the past month. 📊
chart - $[chart] Plot of the past month. 📊 """
"""
+508 -457
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@@ -1,457 +1,508 @@
# Works with Python 3.8 # Works with Python 3.8
import datetime import datetime
import html import html
import io import io
import json import json
import logging import logging
import os import os
import random import random
import string import string
import traceback import traceback
from uuid import uuid4 from uuid import uuid4
import mplfinance as mpf import mplfinance as mpf
import telegram from T_info import T_info
from telegram import (
InlineQueryResultArticle, import telegram
InputTextMessageContent, from common.symbol_router import Router
LabeledPrice, from telegram import InlineQueryResultArticle, InputTextMessageContent, LabeledPrice, Update
Update, from telegram.ext import (
) Application,
CommandHandler,
from telegram.ext import ( ContextTypes,
Application, InlineQueryHandler,
CommandHandler, MessageHandler,
InlineQueryHandler, PreCheckoutQueryHandler,
PreCheckoutQueryHandler, filters,
MessageHandler, )
filters,
ContextTypes, # Enable logging
) logging.basicConfig(format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", level=logging.INFO)
from common.symbol_router import Router # set higher logging level for httpx to avoid all GET and POST requests being logged
from T_info import T_info logging.getLogger("httpx").setLevel(logging.WARNING)
# Enable logging log = logging.getLogger(__name__)
logging.basicConfig(format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", level=logging.INFO)
TELEGRAM_TOKEN = os.environ["TELEGRAM"]
# set higher logging level for httpx to avoid all GET and POST requests being logged
logging.getLogger("httpx").setLevel(logging.WARNING) try:
STRIPE_TOKEN = os.environ["STRIPE"]
log = logging.getLogger(__name__) except KeyError:
STRIPE_TOKEN = ""
TELEGRAM_TOKEN = os.environ["TELEGRAM"] log.warning("Starting without a STRIPE Token will not allow you to accept Donations!")
try: s = Router()
STRIPE_TOKEN = os.environ["STRIPE"] t = T_info()
except KeyError:
STRIPE_TOKEN = ""
log.warning("Starting without a STRIPE Token will not allow you to accept Donations!") log.info("Bot script started.")
s = Router()
t = T_info() async def start(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Send help text when the command /start is issued."""
log.info(f"Start command ran by {update.message.chat.username}")
log.info("Bot script started.") await update.message.reply_text(
text=t.help_text,
parse_mode=telegram.constants.ParseMode.MARKDOWN,
async def start(update: Update, context: ContextTypes.DEFAULT_TYPE): disable_notification=True,
"""Send help text when the command /start is issued.""" )
log.info(f"Start command ran by {update.message.chat.username}")
await update.message.reply_text(
text=t.help_text, async def help(update: Update, context: ContextTypes.DEFAULT_TYPE):
parse_mode=telegram.constants.ParseMode.MARKDOWN, """Send help text when the command /help is issued."""
disable_notification=True, log.info(f"Help command ran by {update.message.chat.username}")
) await update.message.reply_text(
text=t.help_text,
parse_mode=telegram.constants.ParseMode.MARKDOWN,
async def help(update: Update, context: ContextTypes.DEFAULT_TYPE): disable_notification=True,
"""Send help text when the command /help is issued.""" )
log.info(f"Help command ran by {update.message.chat.username}")
await update.message.reply_text(
text=t.help_text, async def license(update: Update, context: ContextTypes.DEFAULT_TYPE):
parse_mode=telegram.constants.ParseMode.MARKDOWN, """Send bots license when the /license command is issued."""
disable_notification=True, log.info(f"License command ran by {update.message.chat.username}")
) await update.message.reply_text(
text=t.license,
parse_mode=telegram.constants.ParseMode.MARKDOWN,
async def license(update: Update, context: ContextTypes.DEFAULT_TYPE): disable_notification=True,
"""Send bots license when the /license command is issued.""" )
log.info(f"License command ran by {update.message.chat.username}")
await update.message.reply_text(
text=t.license, async def status(update: Update, context: ContextTypes.DEFAULT_TYPE):
parse_mode=telegram.constants.ParseMode.MARKDOWN, """Gather status of bot and dependant services and return important status updates."""
disable_notification=True, log.warning(f"Status command ran by {update.message.chat.username}")
) bot_resp_time = datetime.datetime.now(update.message.date.tzinfo) - update.message.date
bot_status = s.status(f"It took {bot_resp_time.total_seconds()} seconds for the bot to get your message.")
async def status(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Gather status of bot and dependant services and return important status updates.""" await update.message.reply_text(
log.warning(f"Status command ran by {update.message.chat.username}") text=bot_status,
bot_resp_time = datetime.datetime.now(update.message.date.tzinfo) - update.message.date parse_mode=telegram.constants.ParseMode.MARKDOWN,
)
bot_status = s.status(f"It took {bot_resp_time.total_seconds()} seconds for the bot to get your message.")
await update.message.reply_text( async def donate(update: Update, context: ContextTypes.DEFAULT_TYPE):
text=bot_status, """Sets up donation."""
parse_mode=telegram.constants.ParseMode.MARKDOWN, log.info(f"Donate command ran by {update.message.chat.username}")
) chat_id = update.message.chat_id
if update.message.text.strip() == "/donate" or "/donate@" in update.message.text:
async def donate(update: Update, context: ContextTypes.DEFAULT_TYPE): await update.message.reply_text(
"""Sets up donation.""" text=t.donate_text,
log.info(f"Donate command ran by {update.message.chat.username}") parse_mode=telegram.constants.ParseMode.MARKDOWN,
chat_id = update.message.chat_id disable_notification=True,
)
if update.message.text.strip() == "/donate" or "/donate@" in update.message.text: amount = 1.0
await update.message.reply_text( else:
text=t.donate_text, amount = float(update.message.text.replace("/donate", "").replace("$", "").strip())
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True, try:
) price = int(amount * 100)
amount = 1.0 except ValueError:
else: await update.message.reply_text(f"{amount} is not a valid donation amount or number.")
amount = float(update.message.text.replace("/donate", "").replace("$", "").strip()) return
log.info(f"Donation amount: {price} by {update.message.chat.username}")
try:
price = int(amount * 100) await context.bot.send_invoice(
except ValueError: chat_id=chat_id,
await update.message.reply_text(f"{amount} is not a valid donation amount or number.") title="Simple Stock Bot Donation",
return description=f"Simple Stock Bot Donation of ${amount} by {update.message.chat.username}",
log.info(f"Donation amount: {price} by {update.message.chat.username}") payload=f"simple-stock-bot-{chat_id}",
provider_token=STRIPE_TOKEN,
await context.bot.send_invoice( currency="USD",
chat_id=chat_id, prices=[LabeledPrice("Donation:", price)],
title="Simple Stock Bot Donation", start_parameter="",
description=f"Simple Stock Bot Donation of ${amount} by {update.message.chat.username}", # suggested_tip_amounts=[100, 500, 1000, 2000],
payload=f"simple-stock-bot-{chat_id}", photo_url="https://simple-stock-bots.gitlab.io/docs/img/Telegram.png",
provider_token=STRIPE_TOKEN, photo_width=500,
currency="USD", photo_height=500,
prices=[LabeledPrice("Donation:", price)], )
start_parameter="",
# suggested_tip_amounts=[100, 500, 1000, 2000],
photo_url="https://simple-stock-bots.gitlab.io/docs/img/Telegram.png", async def precheckout_callback(update: Update, context: ContextTypes.DEFAULT_TYPE):
photo_width=500, """Approves donation"""
photo_height=500, log.info("precheckout_callback queried")
) query = update.pre_checkout_query
await query.answer(ok=True)
async def precheckout_callback(update: Update, context: ContextTypes.DEFAULT_TYPE): # I dont think I need to check since its only donations.
"""Approves donation""" # if query.invoice_payload == "simple-stock-bot":
log.info("precheckout_callback queried") # # answer False pre_checkout_query
query = update.pre_checkout_query # await query.answer(ok=True)
# else:
await query.answer(ok=True) # await query.answer(ok=False, error_message="Something went wrong...")
# I dont think I need to check since its only donations.
# if query.invoice_payload == "simple-stock-bot":
# # answer False pre_checkout_query async def successful_payment_callback(update: Update, context: ContextTypes.DEFAULT_TYPE):
# await query.answer(ok=True) """Thanks user for donation"""
# else: log.info("Successful payment!")
# await query.answer(ok=False, error_message="Something went wrong...") await update.message.reply_text("Thank you for your donation! It goes a long way to keeping the bot free!")
async def successful_payment_callback(update: Update, context: ContextTypes.DEFAULT_TYPE): async def symbol_detect_image(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Thanks user for donation""" """
log.info("Successful payment!") Makes image captions into text then passes the `update` and `context`
await update.message.reply_text("Thank you for your donation! It goes a long way to keeping the bot free!") to symbol detect so that it can reply cashtags in image captions.
"""
try:
async def symbol_detect_image(update: Update, context: ContextTypes.DEFAULT_TYPE): if update.message.caption:
""" update.message.text = update.message.caption
Makes image captions into text then passes the `update` and `context` await symbol_detect(update, context)
to symbol detect so that it can reply cashtags in image captions. except AttributeError:
""" return
try:
if update.message.caption:
update.message.text = update.message.caption async def symbol_detect(update: Update, context: ContextTypes.DEFAULT_TYPE):
await symbol_detect(update, context) """
except AttributeError: Runs on any message that doesn't have a command and searches for cashtags,
return then returns the prices of any symbols found.
"""
try:
async def symbol_detect(update: Update, context: ContextTypes.DEFAULT_TYPE): message = update.message.text
""" chat_id = update.message.chat_id
Runs on any message that doesn't have a command and searches for cashtags, if "$" in message:
then returns the prices of any symbols found. log.info("Looking for Symbols")
""" symbols = s.find_symbols(message)
try: else:
message = update.message.text return
chat_id = update.message.chat_id except AttributeError as ex:
if "$" in message: log.info(ex)
symbols = s.find_symbols(message) return
log.info("Looking for Symbols")
else: # Detect Options
return if ("call" in message.lower()) or ("put" in message.lower()):
except AttributeError as ex: log.info("Options detected")
log.info(ex) await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING)
return try:
if symbols: options_data = s.options(message, symbols)
# Let user know bot is working
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING) await update.message.reply_text(
log.info(f"Symbols found: {symbols}") text=generate_options_reply(options_data),
parse_mode=telegram.constants.ParseMode.MARKDOWN,
for reply in s.price_reply(symbols): )
await update.message.reply_text( return
text=reply, except KeyError as ex:
parse_mode=telegram.constants.ParseMode.MARKDOWN, logging.warning(ex)
disable_notification=True, pass
)
if symbols:
log.info(f"Symbols found: {symbols}")
async def intra(update: Update, context: ContextTypes.DEFAULT_TYPE): await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING)
"""returns a chart of intraday data for a symbol"""
log.info(f"Intra command ran by {update.message.chat.username}") for reply in s.price_reply(symbols):
await update.message.reply_text(
message = update.message.text text=reply,
chat_id = update.message.chat_id parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
if message.strip().split("@")[0] == "/intra": )
await update.message.reply_text(
"This command returns a chart of the stocks movement since the most recent market open.\nExample: /intra $tsla"
) def generate_options_reply(options_data: dict):
return # Header with Option Symbol and Underlying
message_text = f"*{options_data['Option Symbol']} ({options_data['Underlying']})*\n\n"
symbols = s.find_symbols(message, trending_weight=5)
symbol = symbols[0] # Key details
details = (
if len(symbols): f"*Expiration:* `{options_data['Expiration']}`\n"
symbol = symbols[0] f"*Side:* `{options_data['side']}`\n"
else: f"*Strike:* `{options_data['strike']}`\n"
await update.message.reply_text("No symbols or coins found.") f"*First Traded:* `{options_data['First Traded']}`\n"
return f"*Last Updated:* `{options_data['Last Updated']}`\n\n"
)
df = s.intra_reply(symbol) message_text += details
if df.empty:
await update.message.reply_text( # Pricing info
text="Invalid symbol please see `/help` for usage details.", pricing_info = (
parse_mode=telegram.constants.ParseMode.MARKDOWN, f"*Bid:* `{options_data['bid']}` (Size: `{options_data['bidSize']}`)\n"
disable_notification=True, f"*Mid:* `{options_data['mid']}`\n"
) f"*Ask:* `{options_data['ask']}` (Size: `{options_data['askSize']}`)\n"
return f"*Last:* `{options_data['last']}`\n\n"
)
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.UPLOAD_PHOTO) message_text += pricing_info
buf = io.BytesIO() # Volume and open interest
mpf.plot( volume_info = f"*Open Interest:* `{options_data['Open Interest']}`\n*Volume:* `{options_data['Volume']}`\n\n"
df, message_text += volume_info
type="renko",
title=f"\n{symbol.name}", # Greeks
volume="Volume" in df.keys(), greeks_info = (
style="yahoo", f"*IV:* `{options_data['Implied Volatility']}`\n"
savefig=dict(fname=buf, dpi=400, bbox_inches="tight"), f"*Delta:* `{options_data['delta']}`\n"
) f"*Gamma:* `{options_data['gamma']}`\n"
buf.seek(0) f"*Theta:* `{options_data['theta']}`\n"
f"*Vega:* `{options_data['vega']}`\n"
await update.message.reply_photo( f"*Rho:* `{options_data['rho']}`\n"
photo=buf, )
caption=f"\nIntraday chart for {symbol.name} from {df.first_valid_index().strftime('%d %b at %H:%M')} to" message_text += greeks_info
+ f" {df.last_valid_index().strftime('%d %b at %H:%M %Z')}"
+ f"\n\n{s.price_reply([symbol])[0]}", return message_text
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
) async def intra(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""returns a chart of intraday data for a symbol"""
log.info(f"Intra command ran by {update.message.chat.username}")
async def chart(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""returns a chart of the past month of data for a symbol""" message = update.message.text
log.info(f"Chart command ran by {update.message.chat.username}") chat_id = update.message.chat_id
message = update.message.text if message.strip().split("@")[0] == "/intra":
chat_id = update.message.chat_id await update.message.reply_text(
"This command returns a chart of the stocks movement since the most recent market open.\nExample: /intra $tsla"
if message.strip().split("@")[0] == "/chart": )
await update.message.reply_text( return
"This command returns a chart of the stocks movement for the past month.\nExample: /chart $tsla"
) symbols = s.find_symbols(message, trending_weight=5)
return symbol = symbols[0]
symbols = s.find_symbols(message, trending_weight=10) if len(symbols):
symbol = symbols[0]
if len(symbols): else:
symbol = symbols[0] await update.message.reply_text("No symbols or coins found.")
else: return
await update.message.reply_text("No symbols or coins found.")
return df = s.intra_reply(symbol)
if df.empty:
df = s.chart_reply(symbol) await update.message.reply_text(
if df.empty: text="Invalid symbol please see `/help` for usage details.",
await update.message.reply_text( parse_mode=telegram.constants.ParseMode.MARKDOWN,
text="Invalid symbol please see `/help` for usage details.", disable_notification=True,
parse_mode=telegram.constants.ParseMode.MARKDOWN, )
disable_notification=True, return
)
return await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.UPLOAD_PHOTO)
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.UPLOAD_PHOTO)
buf = io.BytesIO()
buf = io.BytesIO() mpf.plot(
mpf.plot( df,
df, type="renko",
type="candle", title=f"\n{symbol.name}",
title=f"\n{symbol.name}", volume="Volume" in df.keys(),
volume="Volume" in df.keys(), style="yahoo",
style="yahoo", savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
savefig=dict(fname=buf, dpi=400, bbox_inches="tight"), )
) buf.seek(0)
buf.seek(0)
await update.message.reply_photo(
await update.message.reply_photo( photo=buf,
photo=buf, caption=f"\nIntraday chart for {symbol.name} from {df.first_valid_index().strftime('%d %b at %H:%M')} to"
caption=f"\n1 Month chart for {symbol.name} from {df.first_valid_index().strftime('%d, %b %Y')}" + f" {df.last_valid_index().strftime('%d %b at %H:%M %Z')}"
+ f" to {df.last_valid_index().strftime('%d, %b %Y')}\n\n{s.price_reply([symbol])[0]}", + f"\n\n{s.price_reply([symbol])[0]}",
parse_mode=telegram.constants.ParseMode.MARKDOWN, parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True, disable_notification=True,
) )
async def trending(update: Update, context: ContextTypes.DEFAULT_TYPE): async def chart(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""returns currently trending symbols and how much they've moved in the past trading day.""" """returns a chart of the past month of data for a symbol"""
log.info(f"Trending command ran by {update.message.chat.username}") log.info(f"Chart command ran by {update.message.chat.username}")
chat_id = update.message.chat_id message = update.message.text
chat_id = update.message.chat_id
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING)
if message.strip().split("@")[0] == "/chart":
trending_list = s.trending() await update.message.reply_text(
"This command returns a chart of the stocks movement for the past month.\nExample: /chart $tsla"
await update.message.reply_text( )
text=trending_list, return
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True, symbols = s.find_symbols(message, trending_weight=10)
)
if len(symbols):
symbol = symbols[0]
async def inline_query(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None: else:
""" await update.message.reply_text("No symbols or coins found.")
Handles inline query. Searches by looking if query is contained return
in the symbol and returns matches in alphabetical order.
""" df = s.chart_reply(symbol)
if df.empty:
if not update.inline_query.query: await update.message.reply_text(
return text="Invalid symbol please see `/help` for usage details.",
parse_mode=telegram.constants.ParseMode.MARKDOWN,
print(f"Query: {update.inline_query.query}") disable_notification=True,
)
ignored_queries = {"$", "$$", " ", ""} return
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.UPLOAD_PHOTO)
if update.inline_query.query.strip() in ignored_queries:
default_message = """ buf = io.BytesIO()
You can type:\n@SimpleStockBot `[search]` mpf.plot(
in any chat or direct message to search for the stock bots full list of stock and crypto symbols and return the price. df,
""" type="candle",
title=f"\n{symbol.name}",
await update.inline_query.answer( volume="Volume" in df.keys(),
[ style="yahoo",
InlineQueryResultArticle( savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
str(uuid4()), )
title="Please enter a query. It can be a ticker or a name of a company.", buf.seek(0)
input_message_content=InputTextMessageContent(
default_message, parse_mode=telegram.constants.ParseMode.MARKDOWN await update.message.reply_photo(
), photo=buf,
) caption=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')}\n\n{s.price_reply([symbol])[0]}",
) parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
matches = s.inline_search(update.inline_query.query) )
results = []
for _, row in matches.iterrows(): async def trending(update: Update, context: ContextTypes.DEFAULT_TYPE):
results.append( """returns currently trending symbols and how much they've moved in the past trading day."""
InlineQueryResultArticle( log.info(f"Trending command ran by {update.message.chat.username}")
str(uuid4()),
title=row["description"], chat_id = update.message.chat_id
input_message_content=InputTextMessageContent(
row["price_reply"], parse_mode=telegram.constants.ParseMode.MARKDOWN await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING)
),
) trending_list = s.trending()
)
await update.message.reply_text(
if len(results) == 5: text=trending_list,
await update.inline_query.answer(results, cache_time=60 * 60) parse_mode=telegram.constants.ParseMode.MARKDOWN,
log.info("Inline Command was successful") disable_notification=True,
return )
await update.inline_query.answer(results)
async def inline_query(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
async def rand_pick(update: Update, context: ContextTypes.DEFAULT_TYPE): """
"""For the gamblers. Returns a random symbol to buy and a sell date""" Handles inline query. Searches by looking if query is contained
log.info(f"Someone is gambling! Random_pick command ran by {update.message.chat.username}") in the symbol and returns matches in alphabetical order.
"""
await update.message.reply_text(
text=s.random_pick(), if not update.inline_query.query:
parse_mode=telegram.constants.ParseMode.MARKDOWN, return
disable_notification=True,
) print(f"Query: {update.inline_query.query}")
ignored_queries = {"$", "$$", " ", ""}
async def error(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Log Errors caused by Updates.""" if update.inline_query.query.strip() in ignored_queries:
log.warning('Update "%s" caused error "%s"', update, error) default_message = """
You can type:\n@SimpleStockBot `[search]`
tb_list = traceback.format_exception(None, context.error, context.error.__traceback__) in any chat or direct message to search for the stock bots full list of stock and crypto symbols and return the price.
tb_string = "".join(tb_list) """
err_code = "".join([random.choice(string.ascii_lowercase) for i in range(5)]) await update.inline_query.answer(
log.warning(f"Logging error: {err_code}") [
InlineQueryResultArticle(
if update: str(uuid4()),
log.warning( title="Please enter a query. It can be a ticker or a name of a company.",
f"An exception was raised while handling an update\n" input_message_content=InputTextMessageContent(
f"\tupdate = {html.escape(json.dumps(update.to_dict(), indent=2, ensure_ascii=False))}\n" default_message, parse_mode=telegram.constants.ParseMode.MARKDOWN
f"\tcontext.chat_data = {str(context.chat_data)}\n" ),
f"\tcontext.user_data = {str(context.user_data)}\n" )
f"\t{html.escape(tb_string)}" ]
) )
await update.message.reply_text( matches = s.inline_search(update.inline_query.query)
text=f"An error has occured. Please inform @MisterBiggs if the error persists. Error Code: `{err_code}`",
parse_mode=telegram.constants.ParseMode.MARKDOWN, results = []
) for _, row in matches.iterrows():
else: results.append(
log.warning("No message to send to user.") InlineQueryResultArticle(
log.warning(tb_string) str(uuid4()),
title=row["description"],
input_message_content=InputTextMessageContent(
def main(): row["price_reply"], parse_mode=telegram.constants.ParseMode.MARKDOWN
"""Start the context.bot.""" ),
# Create the EventHandler and pass it your bot's token. )
application = Application.builder().token(TELEGRAM_TOKEN).build() )
# on different commands - answer in Telegram if len(results) == 5:
application.add_handler(CommandHandler("start", start)) await update.inline_query.answer(results, cache_time=60 * 60)
application.add_handler(CommandHandler("help", help)) log.info("Inline Command was successful")
application.add_handler(CommandHandler("license", license)) return
application.add_handler(CommandHandler("trending", trending)) await update.inline_query.answer(results)
application.add_handler(CommandHandler("random", rand_pick))
application.add_handler(CommandHandler("donate", donate))
application.add_handler(CommandHandler("status", status)) async def rand_pick(update: Update, context: ContextTypes.DEFAULT_TYPE):
application.add_handler(CommandHandler("inline", inline_query)) """For the gamblers. Returns a random symbol to buy and a sell date"""
log.info(f"Someone is gambling! Random_pick command ran by {update.message.chat.username}")
# Charting can be slow so they run async.
application.add_handler(CommandHandler("intra", intra, block=False)) await update.message.reply_text(
application.add_handler(CommandHandler("intraday", intra, block=False)) text=s.random_pick(),
application.add_handler(CommandHandler("day", intra, block=False)) parse_mode=telegram.constants.ParseMode.MARKDOWN,
application.add_handler(CommandHandler("chart", chart, block=False)) disable_notification=True,
application.add_handler(CommandHandler("month", chart, block=False)) )
# on noncommand i.e message - echo the message on Telegram
application.add_handler(MessageHandler(filters.TEXT, symbol_detect)) async def error(update: Update, context: ContextTypes.DEFAULT_TYPE):
application.add_handler(MessageHandler(filters.PHOTO, symbol_detect_image)) """Log Errors caused by Updates."""
log.warning('Update "%s" caused error "%s"', update, error)
# Inline Bot commands
application.add_handler(InlineQueryHandler(inline_query)) tb_list = traceback.format_exception(None, context.error, context.error.__traceback__)
tb_string = "".join(tb_list)
# Pre-checkout handler to final check
application.add_handler(PreCheckoutQueryHandler(precheckout_callback)) err_code = "".join([random.choice(string.ascii_lowercase) for i in range(5)])
log.warning(f"Logging error: {err_code}")
# Payment success
application.add_handler(MessageHandler(filters.SUCCESSFUL_PAYMENT, successful_payment_callback)) if update:
log.warning(
# log all errors f"An exception was raised while handling an update\n"
application.add_error_handler(error) f"\tupdate = {html.escape(json.dumps(update.to_dict(), indent=2, ensure_ascii=False))}\n"
f"\tcontext.chat_data = {str(context.chat_data)}\n"
# Start the Bot f"\tcontext.user_data = {str(context.user_data)}\n"
application.run_polling(allowed_updates=Update.ALL_TYPES) f"\t{html.escape(tb_string)}"
)
if __name__ == "__main__": await update.message.reply_text(
main() text=f"An error has occured. Please inform @MisterBiggs if the error persists. Error Code: `{err_code}`",
parse_mode=telegram.constants.ParseMode.MARKDOWN,
)
else:
log.warning("No message to send to user.")
log.warning(tb_string)
def main():
"""Start the context.bot."""
# Create the EventHandler and pass it your bot's token.
application = Application.builder().token(TELEGRAM_TOKEN).build()
# on different commands - answer in Telegram
application.add_handler(CommandHandler("start", start))
application.add_handler(CommandHandler("help", help))
application.add_handler(CommandHandler("license", license))
application.add_handler(CommandHandler("trending", trending))
application.add_handler(CommandHandler("random", rand_pick))
application.add_handler(CommandHandler("donate", donate))
application.add_handler(CommandHandler("status", status))
application.add_handler(CommandHandler("inline", inline_query))
# Charting can be slow so they run async.
application.add_handler(CommandHandler("intra", intra, block=False))
application.add_handler(CommandHandler("intraday", intra, block=False))
application.add_handler(CommandHandler("day", intra, block=False))
application.add_handler(CommandHandler("chart", chart, block=False))
application.add_handler(CommandHandler("month", chart, block=False))
# on noncommand i.e message - echo the message on Telegram
application.add_handler(MessageHandler(filters.TEXT, symbol_detect))
application.add_handler(MessageHandler(filters.PHOTO, symbol_detect_image))
# Inline Bot commands
application.add_handler(InlineQueryHandler(inline_query))
# Pre-checkout handler to final check
application.add_handler(PreCheckoutQueryHandler(precheckout_callback))
# Payment success
application.add_handler(MessageHandler(filters.SUCCESSFUL_PAYMENT, successful_payment_callback))
# log all errors
application.add_error_handler(error)
# Start the Bot
application.run_polling(allowed_updates=Update.ALL_TYPES)
if __name__ == "__main__":
main()
+2 -2
View File
@@ -1,2 +1,2 @@
python-telegram-bot==20.5 python-telegram-bot==21.11.1
-r requirements.txt -r requirements.txt
+21 -33
View File
@@ -1,33 +1,21 @@
import keyboard import time
import time
import keyboard
tests = """$$xno tests = """$$xno
/info $tsla $tsla
/info $$btc /intra $tsla
/news $tsla /intra $$btc
/news $$btc /chart $tsla
/stat $tsla /chart $$btc
/stat $$btc /help
/cap $tsla /trending""".split("\n")
/cap $$btc
/dividend $tsla print("press enter to start")
/dividend $msft keyboard.wait("enter")
/dividend $$btc
/intra $tsla for test in tests:
/intra $$btc print(test)
/chart $tsla keyboard.write(test)
/chart $$btc time.sleep(1)
/help keyboard.press_and_release("enter")
/trending""".split(
"\n"
)
print("press enter to start")
keyboard.wait("enter")
for test in tests:
print(test)
keyboard.write(test)
time.sleep(1)
keyboard.press_and_release("enter")
View File
+15
View File
@@ -0,0 +1,15 @@
"""Pytest configuration and fixtures."""
import sys
import os
from pathlib import Path
# Add the project root to Python path so we can import modules
project_root = Path(__file__).parent.parent
sys.path.insert(0, str(project_root))
# Set environment variables for testing
os.environ.setdefault("TELEGRAM", "test_token")
os.environ.setdefault("DISCORD", "test_token")
os.environ.setdefault("MARKETDATA", "test_token")
os.environ.setdefault("STRIPE", "test_token")
+132
View File
@@ -0,0 +1,132 @@
"""Test the rate_limited decorator functionality."""
import time
from unittest.mock import patch
from common.utilities import rate_limited
class TestRateLimited:
"""Test rate_limited decorator functionality."""
def test_rate_limited_decorator(self):
"""Test that rate limiting works correctly."""
call_times = []
@rate_limited(2.0) # 2 calls per second max
def test_function():
call_times.append(time.time())
return len(call_times)
# First call should execute immediately
result1 = test_function()
assert result1 == 1
assert len(call_times) == 1
# Second call should be delayed
start_time = time.time()
result2 = test_function()
end_time = time.time()
assert result2 == 2
assert len(call_times) == 2
# Should have waited at least close to 0.5 seconds (1/2 calls per second)
elapsed = end_time - start_time
assert elapsed >= 0.4 # Allow some tolerance for timing
def test_rate_limited_with_args(self):
"""Test rate limited function with arguments."""
@rate_limited(1.0) # 1 call per second
def test_function(x, y=1):
return x + y
# Test that arguments are passed correctly
result1 = test_function(5, y=10)
assert result1 == 15
# Test positional and keyword args
start_time = time.time()
result2 = test_function(3, 7)
end_time = time.time()
assert result2 == 10
# Should have waited about 1 second
elapsed = end_time - start_time
assert elapsed >= 0.9
def test_rate_limited_logging(self):
"""Test that rate limiting logs waiting messages."""
@rate_limited(10.0) # 10 calls per second
def test_function():
return "called"
with patch("common.utilities.log.info") as mock_log:
# First call should not log
test_function()
mock_log.assert_not_called()
# Second call should log the wait
test_function()
mock_log.assert_called_once()
# Check that the log message contains expected content
log_call_args = mock_log.call_args[0][0]
assert "Rate limit exceeded" in log_call_args
assert "Waiting for" in log_call_args
def test_rate_limited_different_rates(self):
"""Test different rate limiting values."""
@rate_limited(4.0) # 4 calls per second = 0.25 second intervals
def fast_function():
return time.time()
@rate_limited(0.5) # 0.5 calls per second = 2 second intervals
def slow_function():
return time.time()
# Test fast function (should wait ~0.25 seconds)
start = time.time()
fast_function()
fast_function()
fast_elapsed = time.time() - start
assert 0.2 <= fast_elapsed <= 0.4
# Test slow function (should wait ~2 seconds)
start = time.time()
slow_function()
slow_function()
slow_elapsed = time.time() - start
assert slow_elapsed >= 1.9
def test_multiple_instances(self):
"""Test that different decorated functions maintain separate rate limits."""
@rate_limited(2.0)
def function_a():
return "A"
@rate_limited(2.0)
def function_b():
return "B"
# Both functions should be able to call immediately initially
result_a = function_a()
result_b = function_b()
assert result_a == "A"
assert result_b == "B"
# Each should have its own rate limit
start_time = time.time()
function_a() # Should wait
elapsed = time.time() - start_time
assert elapsed >= 0.4
# function_b should still be able to call without waiting
start_time = time.time()
function_b() # Should not wait much since it has separate limit
elapsed = time.time() - start_time
assert elapsed >= 0.4 # It will also wait since it was called recently
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"""Test the Router symbol detection functionality."""
from unittest.mock import Mock, patch
from common.symbol_router import Router
from common.Symbol import Stock, Coin
class TestRouter:
"""Test Router symbol detection and parsing."""
def setup_method(self):
"""Set up test fixtures."""
# Mock the MarketData and cg_Crypto dependencies
with patch("common.symbol_router.MarketData") as mock_md, patch("common.symbol_router.cg_Crypto") as mock_crypto:
# Mock MarketData
mock_md_instance = Mock()
mock_md.return_value = mock_md_instance
# Mock cg_Crypto
mock_crypto_instance = Mock()
mock_crypto.return_value = mock_crypto_instance
# Create mock symbol list for crypto
import pandas as pd
mock_crypto_instance.symbol_list = pd.DataFrame(
{
"symbol": ["btc", "eth", "ada"],
"id": ["bitcoin", "ethereum", "cardano"],
"name": ["Bitcoin", "Ethereum", "Cardano"],
}
)
self.router = Router()
self.mock_stock = mock_md_instance
self.mock_crypto = mock_crypto_instance
def test_stock_symbol_regex(self):
"""Test that stock symbol regex correctly identifies patterns."""
import re
# Test the regex pattern directly
pattern = self.router.STOCK_REGEX
# Should match
assert re.search(pattern, "$AAPL")
assert re.search(pattern, "What about $TSLA today?")
assert re.search(pattern, "Look at $NVDA and $AMD")
# Should not match crypto patterns
assert not re.search(pattern, "$$BTC")
# Should not match without $
assert not re.search(pattern, "AAPL")
def test_crypto_symbol_regex(self):
"""Test that crypto symbol regex correctly identifies patterns."""
import re
pattern = self.router.CRYPTO_REGEX
# Should match
assert re.search(pattern, "$$BTC")
assert re.search(pattern, "How is $$ETH doing?")
assert re.search(pattern, "$$BTC and $$ETH")
# Should not match single $ patterns
assert not re.search(pattern, "$BTC")
assert not re.search(pattern, "$AAPL")
def test_find_symbols_stock(self):
"""Test stock symbol detection."""
# Mock successful stock lookup
self.mock_stock.symbol_id.return_value = {"ticker": "AAPL", "title": "Apple Inc.", "mkt_cap_rank": 1}
result = self.router.find_symbols("$AAPL")
assert len(result) == 1
assert isinstance(result[0], Stock)
self.mock_stock.symbol_id.assert_called_with("AAPL")
def test_find_symbols_crypto(self):
"""Test crypto symbol detection."""
# Mock crypto dataframe lookup
import pandas as pd
mock_crypto_df = pd.DataFrame({"symbol": ["btc"], "id": ["bitcoin"], "name": ["Bitcoin"], "type_id": ["$$btc"]})
# Set up the mock to return the DataFrame when filtered
self.mock_crypto.symbol_list = pd.DataFrame(
{
"symbol": ["btc", "eth"],
"id": ["bitcoin", "ethereum"],
"name": ["Bitcoin", "Ethereum"],
"type_id": ["$$btc", "$$eth"],
}
)
# Mock the pandas filtering
with patch.object(self.mock_crypto.symbol_list, "str") as mock_str:
mock_str.fullmatch.return_value = mock_crypto_df
mock_crypto_df.empty = False
result = self.router.find_symbols("$$BTC")
assert len(result) == 1
assert isinstance(result[0], Coin)
def test_find_symbols_no_matches(self):
"""Test behavior when no symbols are found."""
result = self.router.find_symbols("Hello world")
assert result == []
def test_find_symbols_invalid_stock(self):
"""Test behavior when stock symbol is not found."""
# Mock failed stock lookup
self.mock_stock.symbol_id.return_value = None
result = self.router.find_symbols("$INVALID")
assert result == []
self.mock_stock.symbol_id.assert_called_with("INVALID")
def test_find_symbols_multiple(self):
"""Test finding multiple symbols."""
# Mock successful lookups for both
self.mock_stock.symbol_id.side_effect = [
{"ticker": "AAPL", "title": "Apple Inc.", "mkt_cap_rank": 1},
{"ticker": "TSLA", "title": "Tesla Inc.", "mkt_cap_rank": 5},
]
result = self.router.find_symbols("$AAPL and $TSLA")
assert len(result) == 2
assert all(isinstance(symbol, Stock) for symbol in result)
def test_trending_weight_tracking(self):
"""Test that trending counts are updated."""
# Mock successful stock lookup
self.mock_stock.symbol_id.return_value = {"ticker": "AAPL", "title": "Apple Inc.", "mkt_cap_rank": 1}
# Clear trending count
self.router.trending_count = {}
result = self.router.find_symbols("$AAPL", trending_weight=2)
assert len(result) == 1
assert "$AAPL" in self.router.trending_count
assert self.router.trending_count["$AAPL"] == 2
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"""Test Symbol, Stock, and Coin class construction."""
from unittest.mock import patch
import pandas as pd
from common.Symbol import Symbol, Stock, Coin
class TestSymbol:
"""Test base Symbol class."""
def test_symbol_creation(self):
"""Test basic Symbol creation."""
symbol = Symbol("TEST")
assert symbol.symbol == "TEST"
assert symbol.id == "TEST"
assert symbol.name == "TEST"
def test_symbol_currency_default(self):
"""Test that currency defaults to USD."""
symbol = Symbol("TEST")
assert symbol.currency == "usd"
class TestStock:
"""Test Stock class functionality."""
def test_stock_creation(self):
"""Test Stock object creation with proper dictionary structure."""
stock_info = {"ticker": "AAPL", "title": "Apple Inc.", "mkt_cap_rank": 1}
stock = Stock(stock_info)
assert stock.symbol == "AAPL"
assert stock.id == "AAPL"
assert stock.name == "Apple Inc."
assert stock.tag == "$AAPL"
assert stock.market_cap_rank == 1
# Verify inheritance
assert isinstance(stock, Symbol)
assert isinstance(stock, Stock)
def test_stock_with_different_data(self):
"""Test Stock creation with different stock data."""
stock_info = {"ticker": "TSLA", "title": "Tesla, Inc.", "mkt_cap_rank": 5}
stock = Stock(stock_info)
assert stock.symbol == "TSLA"
assert stock.id == "TSLA"
assert stock.name == "Tesla, Inc."
assert stock.tag == "$TSLA"
assert stock.market_cap_rank == 5
def test_stock_tag_format(self):
"""Test that stock tags are properly formatted with $ prefix."""
stock_info = {"ticker": "NVDA", "title": "NVIDIA Corporation", "mkt_cap_rank": 3}
stock = Stock(stock_info)
assert stock.tag == "$NVDA"
assert stock.tag.startswith("$")
class TestCoin:
"""Test Coin class functionality."""
def test_coin_creation_single_row(self):
"""Test Coin object creation with single row DataFrame."""
coin_data = pd.DataFrame({"symbol": ["btc"], "id": ["bitcoin"], "name": ["Bitcoin"], "type_id": ["$$btc"]})
coin = Coin(coin_data)
assert coin.symbol == "btc"
assert coin.id == "bitcoin"
assert coin.name == "Bitcoin"
assert coin.tag == "$$BTC"
# Verify inheritance
assert isinstance(coin, Symbol)
assert isinstance(coin, Coin)
def test_coin_creation_ethereum(self):
"""Test Coin creation with Ethereum data."""
coin_data = pd.DataFrame({"symbol": ["eth"], "id": ["ethereum"], "name": ["Ethereum"], "type_id": ["$$eth"]})
coin = Coin(coin_data)
assert coin.symbol == "eth"
assert coin.id == "ethereum"
assert coin.name == "Ethereum"
assert coin.tag == "$$ETH"
def test_coin_multiple_rows_takes_first(self):
"""Test that when multiple rows exist, only the first is used."""
coin_data = pd.DataFrame(
{
"symbol": ["btc", "btc2"],
"id": ["bitcoin", "bitcoin-cash"],
"name": ["Bitcoin", "Bitcoin Cash"],
"type_id": ["$$btc", "$$bch"],
}
)
# Mock the head method to return first row
with patch.object(coin_data, "head") as mock_head:
first_row = pd.DataFrame({"symbol": ["btc"], "id": ["bitcoin"], "name": ["Bitcoin"], "type_id": ["$$btc"]})
mock_head.return_value = first_row
coin = Coin(coin_data)
mock_head.assert_called_once_with(1)
# The coin should use the first row data
assert coin.symbol == "btc"
assert coin.id == "bitcoin"
def test_coin_tag_uppercase(self):
"""Test that coin tags are properly uppercased."""
coin_data = pd.DataFrame({"symbol": ["ada"], "id": ["cardano"], "name": ["Cardano"], "type_id": ["$$ada"]})
coin = Coin(coin_data)
assert coin.tag == "$$ADA"
assert coin.tag.isupper()
def test_coin_dataframe_access(self):
"""Test that coin properly accesses DataFrame values."""
coin_data = pd.DataFrame({"symbol": ["dot"], "id": ["polkadot"], "name": ["Polkadot"], "type_id": ["$$dot"]})
coin = Coin(coin_data)
# Test that values are extracted correctly from DataFrame
assert isinstance(coin.symbol, str)
assert isinstance(coin.id, str)
assert isinstance(coin.name, str)
assert isinstance(coin.tag, str)