Reminder Command using MongoDB discord.py - mongodb

I am new to databases and datetime and stuff.
I actually want to create a reminder command which uses MongoDB as a Database. I am using Motor as I want to use asyncio along with it. Please tell me if I am on the right path or not and if I am not, then what should I do?
I have setup the basic connection with MongoDB using motor.
Here is my code.
import discord
from discord.ext import commands
import pymongo
from pymongo import MongoClient
import os
import asyncio
import motor
import motor.motor_asyncio
class Reminder(commands.Cog):
def __init__(self, bot):
self.bot = bot
#commands.Cog.listener()
async def on_ready(self):
print('Reminder is Ready.')
### MongoDB Variables ###
#commands.command()
async def remind(self, ctx, time, *, msg):
### MongoDB Variables ###
mongo_url = os.environ['Mongodb_url']
cluster = motor.motor_asyncio.AsyncIOMotorClient(str(mongo_url))
db = cluster['Database']
collection = db['reminder']
### Discord Variables ###
author_id = ctx.author.id
guild_id = ctx.guild.id
### Time Variables ###
time_conversion = {"s": 1, "m": 60, "h": 3600, "d": 86400}
remindertime = int(time[0]) * time_conversion[time[-1]]
if ctx.author.bot:
return
if (await collection.count_documents({}) == 0):
rem_info = {"_id": author_id, "GuildID": guild_id, "time": remindertime, "msg": msg}
await collection.insert_one(rem_info)
await ctx.send('Logged In')
def setup(bot):
bot.add_cog(Reminder(bot))
What is Reminder Command and whati want to do?
Basically, the command will take the amount of time to be reminded and the topic to be reminded about as arguments.
After the certain amount of time specified in the command, it will DM the user that "You asked me to remind you about {topic}".
I hope that is all the needed information.

attachment to the comments below the question:
to check if it is time to remind a user you can use the datetime module
import discord
from discord.ext import commands, tasks
import pymongo
from pymongo import MongoClient
import os
import asyncio
import motor
import motor.motor_asyncio
import datetime
from datetime import datetime, timedelta
### MongoDB Variables ###
mongo_url = os.environ['Mongodb_url']
cluster = motor.motor_asyncio.AsyncIOMotorClient(str(mongo_url))
db = cluster['Database']
collection = db['reminder']
class Reminder(commands.Cog):
def __init__(self, bot):
self.bot = bot
self.reminder_task.start()
def cog_unload(self):
self.reminder_task.cancel()
#tasks.loop(minutes=1.0)
async def reminder_task(self):
reminders = collection.find({})
for reminder in reminders:
# reminder should look like this: {"_id": 1234, "GuildID": 1234, "time": datetime_objekt, "msg": "some text"}
now = datetime.now()
if now >= reminder:
# remind the user
guild = self.client.get_guild(reminder['GuildID'])
member = guild.get_member(reminder['_id'])
await member.send(f"reminder for {reminder['msg']}")
#commands.Cog.listener()
async def on_ready(self):
print('Reminder is Ready.')
#commands.command()
async def remind(self, ctx, time, *, msg):
"""Reminder Command"""
# like above
# just change this
### Time Variables ###
time_conversion = {"s": 1, "m": 60, "h": 3600, "d": 86400}
remindseconds = int(time[0]) * time_conversion[time[-1]]
remindertime = datetime.now() + timedelta(seconds=remindseconds)
def setup(bot):
bot.add_cog(Reminder(bot))

Related

ChannelsLiveServerTestCase equivalent for pytest

In pytest-django there is a builtin fixture live_server though it seems like this server (that is actually based on LiveServerTestCase) can't handle web-sockets or at least won't interact with my asgi.py module.
How can one mimic that fixture in order to use ChannelsLiveServerTestCase instead? Or anything else that will run a test-database and will be able to serve an ASGI application?
My goal eventually is to have as close to production environment as possible, for testing and being able to test interaction between different Consumers.
P.S: I know I can run manage.py testserver <Fixture> on another thread / process by overriding django_db_setup though I seek for a better solution.
You can implement a channels_live_server fixture based on the implementations of:
live_server fixture, which instantiates
LiveServer helper, which starts LiveServerThread, and
ChannelsLiveServerTestCase, which starts DaphneProcess.
#medihack implemented it at https://github.com/pytest-dev/pytest-django/issues/1027:
from functools import partial
from channels.routing import get_default_application
from daphne.testing import DaphneProcess
from django.contrib.staticfiles.handlers import ASGIStaticFilesHandler
from django.core.exceptions import ImproperlyConfigured
from django.db import connections
from django.test.utils import modify_settings
def make_application(*, static_wrapper):
# Module-level function for pickle-ability
application = get_default_application()
if static_wrapper is not None:
application = static_wrapper(application)
return application
class ChannelsLiveServer:
host = "localhost"
ProtocolServerProcess = DaphneProcess
static_wrapper = ASGIStaticFilesHandler
serve_static = True
def __init__(self) -> None:
for connection in connections.all():
if connection.vendor == "sqlite" and connection.is_in_memory_db():
raise ImproperlyConfigured(
"ChannelsLiveServer can not be used with in memory databases"
)
self._live_server_modified_settings = modify_settings(ALLOWED_HOSTS={"append": self.host})
self._live_server_modified_settings.enable()
get_application = partial(
make_application,
static_wrapper=self.static_wrapper if self.serve_static else None,
)
self._server_process = self.ProtocolServerProcess(self.host, get_application)
self._server_process.start()
self._server_process.ready.wait()
self._port = self._server_process.port.value
def stop(self) -> None:
self._server_process.terminate()
self._server_process.join()
self._live_server_modified_settings.disable()
#property
def url(self) -> str:
return f"http://{self.host}:{self._port}"
#pytest.fixture
def channels_live_server(request):
server = ChannelsLiveServer()
request.addfinalizer(server.stop)
return server
#aaron's solution can't work, due to pytest-django conservative approach for database access.
another proccess wouldn't be aware that your test has database access permissions therefore you won't have database access. (here is a POC)
Using a scoped fixture of daphne Server suffice for now.
import threading
import time
from functools import partial
from django.contrib.staticfiles.handlers import ASGIStaticFilesHandler
from django.core.exceptions import ImproperlyConfigured
from django.db import connections
from django.test.utils import modify_settings
from daphne.server import Server as DaphneServer
from daphne.endpoints import build_endpoint_description_strings
def get_open_port() -> int:
import socket
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.bind(("", 0))
s.listen(1)
port = s.getsockname()[1]
s.close()
return port
def make_application(*, static_wrapper):
# Module-level function for pickle-ability
if static_wrapper is not None:
application = static_wrapper(your_asgi_app)
return application
class ChannelsLiveServer:
port = get_open_port()
host = "localhost"
static_wrapper = ASGIStaticFilesHandler
serve_static = True
def __init__(self) -> None:
for connection in connections.all():
if connection.vendor == "sqlite" and connection.is_in_memory_db():
raise ImproperlyConfigured(
"ChannelsLiveServer can not be used with in memory databases"
)
self._live_server_modified_settings = modify_settings(ALLOWED_HOSTS={"append": self.host})
self._live_server_modified_settings.enable()
get_application = partial(
make_application,
static_wrapper=self.static_wrapper if self.serve_static else None,
)
endpoints = build_endpoint_description_strings(
host=self.host, port=self.port
)
self._server = DaphneServer(
application=get_application(),
endpoints=endpoints
)
t = threading.Thread(target=self._server.run)
t.start()
for i in range(10):
time.sleep(0.10)
if self._server.listening_addresses:
break
assert self._server.listening_addresses[0]
def stop(self) -> None:
self._server.stop()
self._live_server_modified_settings.disable()
#property
def url(self) -> str:
return f"ws://{self.host}:{self.port}"
#property
def http_url(self):
return f"http://{self.host}:{self.port}"
#pytest.fixture(scope='session')
def channels_live_server(request, live_server):
server = ChannelsLiveServer()
request.addfinalizer(server.stop)
return server

why excel process stay opened after printing

i use these packages:
openpyxl - copy excel templates, opened copied file, save data from db, print it and then delete;
pywin32 - send for printing to remote network printer by network name;
after some processes, i don't know which - excel process window still opened. (attach screenshot)
i attach the most using in my project functions.
this program it's like a web service, which listening 5000 port and print in needed template.
i delete all created files, because of no need to store all of them.
from openpyxl import load_workbook
import os
import app_config as config
import printers.printers as p
from datetime import datetime
import shutil
import time
class EditExcelTemplate:
def __init__(self, template_name):
now = datetime.now()
report_name = "_{}{}{}_{}{}{}_{}".format(now.year, now.month, now.day,
now.hour, now.minute, now.second,
now.microsecond)
self.report_path = config.EXCEL_REPORT_PATH.format(template_name +
report_name)
shutil.copy(src=config.EXCEL_TEMPLATE_PATH.format(template_name),
dst=self.report_path)
# self.wb = load_workbook(filename=config.EXCEL_TEMPLATE_PATH.format(template_name))
start_load = time.time()
self.wb = load_workbook(filename=self.report_path,
keep_links=False,
keep_vba=False,
data_only=True)
end_load = time.time()
print('LOAD WORKBOOK|{}'.format(str(end_load - start_load)))
self.ws = self.wb.active
self.answer = {'file_name': template_name.upper()}
def write_workbook(self, row_dest, column_dest, value):
c = self.ws.cell(row=row_dest, column=column_dest)
c.value = value
def save_excel(self):
self.wb.save(self.report_path)
def print_excel(self, printer_no):
p.print_excel(printer_no=printer_no, path_to_file=self.report_path)
def print_excel_file(self, printer_name):
p.print_excel_file(printer_name=printer_name, path_to_file=self.report_path)
import win32api
import app_config
import os, time
def print_excel(printer_no, path_to_file):
printer_name = app_config.PRINTER_NAMES[printer_no]
win32api.ShellExecute(
1,
'printto',
path_to_file,
'{}'.format(printer_name),
'.',
0
)
def delete_file(path_to_file, try_count=1):
if os.path.exists(path=path_to_file):
file_name = path_to_file.split('\\')[-1]
while try_count < 60:
try:
os.remove(path_to_file)
print('File {} deleted!'.format(file_name))
break
except PermissionError:
print('Can not delete file {}. Hold {} sec.'.format(file_name, try_count))
time.sleep(1.0)
try_count += 1

Parameterize the find method in python using mongo

Files to upload will be like WFSIV0101202001.318.tar.gz,WFSIV0101202001.2624.tar.gz etc.
INPUT_FILE_PATH = 'C:\Files to upload'
try:
import os
from google.cloud import storage
import sys
import pymongo
import pymongo.errors
from pymongo import MongoClient
from pymongo.errors import ConnectionFailure
except:
print("missing modules")
try:
mongo_client = MongoClient(host="xyz.com", port=27017)
Db = mongo_client['abcd']
coll = Db['shopper_journey_sitedata']
except ConnectionFailure:
print("Connection failed")
date=[]
# Thirdpartyid=[]
input_files = os.listdir(INPUT_FILE_PATH)
# looping through input files
for input_file in input_files:
x = input_file.split(".")
date.append(x[0][5:13])
tp_site_id = x[1]
# print(tp_site_id)
cur = coll.find({"third_party_site_id":tp_site_id})
for doc in cur:
print(doc)
Now i want to parameterize the find() method for every id, so that on each iteration i should get st_site_id ?
above code i tried but ist giving error as "Datas:name error"
You can do one thing
coll.find({"third_party_site_id": { $in :
[318,2624,2621,2622,102,078]}})
If Tid is an array, then you could replace 318 in your query to Tid[I]

Python Faust await agent.ask() doesn't return reply and hangs function calling it

I am new to Python, playing around with stuff, trying to communicate python services via Kafka using Faust.
So I have small PoC project.
Faust app definition:
# app.py
import faust as f
from models import ReadRequest, ReadResponse
app = f.App("faust-app", broker="kafka://localhost:9092", store="rocksdb://")
topics = {"read-request": app.topic("read-request", value_type=ReadRequest)}
def get_app() -> f.types.AppT:
return app
def get_topic(name: str) -> f.types.TopicT:
return topics[name]
My DB reader agent:
# reader.py
import pandas as pd
from pymongo import MongoClient
from app import get_app, get_topic
client = MongoClient()
app = get_app()
req_topic = get_topic("read-request")
#app.agent(req_topic)
async def read_request(requests):
async for request in requests:
db = client.test
coll = db[request["collection"]]
result = coll.find(request["query"])
df = pd.DataFrame(result)
response = {
"id": request["id"],
"data": list(df.loc[:, df.columns != "_id"].to_dict(orient="records")),
}
print(response) # debug <1>
yield response
Model definitions:
# models.py
import faust as f
class ReadRequest(f.Record):
id: int
collection: str
query: dict
Test agent.ask()
# test.py
import asyncio
from reader import read_request
from models import ReadRequest
async def run():
result = await read_request.ask(ReadRequest(id=1, collection="test", query={}))
print(result) # debug <2>
if __name__ == "__main__":
asyncio.run(run())
So I have zookeeper, kafka server, mongodb and faust worker reader running. Everything is using out of the box configs.
When I run python3 test.py I see debug <1> print output as expected, but debug <2> never goes off and execution hangs there.
Faust docs say
So I assume that I am doing everything right.
Anyone has any clues?

flask/MongoDB error on local server using raspberry pi3 - raspbian os

i've made a local server using flask and mongoDB which works great on windows, but when i moved my code to the raspberry pi, i've got an error which i couldn't figure out why it occurs.
the code im using:
1) for the flask server
from flask import Flask
from flask import jsonify
from flask import request
import pymongo
import time
import datetime
import json
app = Flask(__name__)
client = pymongo.MongoClient("localhost", 27017)
db = client['mqtt-db']
obs_collection = db['mqtt-collection']
#app.route("/obs")
def obs():
data_str = request.args.get("data")
print data_str
data = json.loads(data_str)
print data
data["date"] = datetime.datetime.now()
obs_collection.save(data)
return "success"
#app.route("/get_obs")
def get_obs():
res = []
for row in obs_collection.find():
del row['_id']
res.append(row)
return jsonify(res)
#app.route("/delete_all")
def delete_all():
res = obs_collection.delete_many({})
return jsonify({"deleted": res.deleted_count})
if __name__ == "__main__":
app.run(host="0.0.0.0", debug=True)
2) script for inserting messages into db , using mqtt protocol:
import paho.mqtt.client as mqtt
import pymongo
import json
import datetime
topic = "sensor"
host = "10.0.0.6"
client = pymongo.MongoClient("localhost", 27017)
db = client['mqtt-db']
mqtt_collection = db['mqtt-collection']
# The callback for when the client receives a CONNACK response from the server.
def on_connect(client, userdata, flags, rc):
print("Connected with result code "+str(rc))
# Subscribing in on_connect() means that if we lose the connection and
# reconnect then subscriptions will be renewed.
client.subscribe(topic)
# The callback for when a PUBLISH message is received from the server.
def on_message(client, userdata, msg):
data_str = str(msg.payload)
data = json.loads(data_str)
print data_str
print data
data["date"] = datetime.datetime.now()
mqtt_collection.save(data)
print(msg.topic+" "+str(msg.payload))
client = mqtt.Client()
client.on_connect = on_connect
client.on_message = on_message
client.connect(host, 1883, 60)
# Blocking call that processes network traffic, dispatches callbacks and
# handles reconnecting.
# Other loop*() functions are available that give a threaded interface and a
# manual interface.
client.loop_forever()
the error occurs when i try to retrieve data from the server using "get_obs" function.
the error is: "Value Error: dictionary update sequence element #0 has length 4; 2 is required"
appreciate your help.
as #davidism suggested, the solution was to update to the latest version of Flask