When I run the code snippet present under this link, no output is produced.
https://www.ical4j.org/examples/model/#creating-a-meeting-of-four-hour-duration
The code just prints out the following:
BEGIN:VCALENDAR
END:VCALENDAR
Someone please suggest if I am doing something wrong.
P.S.: I have corrected the compilation errors and now the code runs fine.
Here is the corrected code snippet that I am running:
import net.fortuna.ical4j.data.CalendarOutputter
import net.fortuna.ical4j.model.DateTime
import net.fortuna.ical4j.model.TimeZoneRegistry
import net.fortuna.ical4j.model.TimeZoneRegistryFactory
import net.fortuna.ical4j.model.component.VEvent
import net.fortuna.ical4j.model.component.VTimeZone
import net.fortuna.ical4j.model.parameter.Cn
import net.fortuna.ical4j.model.parameter.Role
import net.fortuna.ical4j.model.property.Attendee
import net.fortuna.ical4j.model.property.CalScale
import net.fortuna.ical4j.model.property.ProdId
import net.fortuna.ical4j.model.property.Uid
import net.fortuna.ical4j.util.Calendars
import net.fortuna.ical4j.util.MapTimeZoneCache
import net.fortuna.ical4j.util.RandomUidGenerator
import net.fortuna.ical4j.util.UidGenerator
import java.time.LocalDateTime
import java.time.Month
import java.time.ZoneId
System.setProperty("net.fortuna.ical4j.timezone.cache.impl", MapTimeZoneCache.class.getName());
// Create a TimeZone
TimeZoneRegistry registry = TimeZoneRegistryFactory.getInstance().createRegistry();
TimeZone timezone = registry.getTimeZone("America/Mexico_City");
VTimeZone tz = timezone.getVTimeZone();
// Start Date is on: April 1, 2008, 9:00 am
java.util.Calendar startDate = new GregorianCalendar();
startDate.setTimeZone(timezone);
startDate.set(java.util.Calendar.MONTH, java.util.Calendar.APRIL);
startDate.set(java.util.Calendar.DAY_OF_MONTH, 1);
startDate.set(java.util.Calendar.YEAR, 2008);
startDate.set(java.util.Calendar.HOUR_OF_DAY, 9);
startDate.set(java.util.Calendar.MINUTE, 0);
startDate.set(java.util.Calendar.SECOND, 0);
// End Date is on: April 1, 2008, 13:00
java.util.Calendar endDate = new GregorianCalendar();
endDate.setTimeZone(timezone);
endDate.set(java.util.Calendar.MONTH, java.util.Calendar.APRIL);
endDate.set(java.util.Calendar.DAY_OF_MONTH, 1);
endDate.set(java.util.Calendar.YEAR, 2008);
endDate.set(java.util.Calendar.HOUR_OF_DAY, 13);
endDate.set(java.util.Calendar.MINUTE, 0);
endDate.set(java.util.Calendar.SECOND, 0);
// Create the event
String eventName = "Progress Meeting";
LocalDateTime start = LocalDateTime.of(2022, Month.APRIL, 30, 12, 00)
LocalDateTime end = LocalDateTime.of(2022, Month.APRIL, 30, 12, 30)
VEvent meeting = new VEvent(start, end, eventName);
// add timezone info..
meeting.getProperties().add(tz.getTimeZoneId().get());
// generate unique identifier..
UidGenerator ug = new RandomUidGenerator();
Uid uid = ug.generateUid();
meeting.getProperties().add(uid);
// add attendees..
Attendee dev1 = new Attendee(URI.create("mailto:dev1#mycompany.com"));
dev1.getParameters().add(Role.REQ_PARTICIPANT);
dev1.getParameters().add(new Cn("Developer 1"));
meeting.getProperties().add(dev1);
Attendee dev2 = new Attendee(URI.create("mailto:dev2#mycompany.com"));
dev2.getParameters().add(Role.OPT_PARTICIPANT);
dev2.getParameters().add(new Cn("Developer 2"));
meeting.getProperties().add(dev2);
// Create a calendar
net.fortuna.ical4j.model.Calendar icsCalendar = new net.fortuna.ical4j.model.Calendar();
icsCalendar.getProperties().add(new ProdId("-//Events Calendar//iCal4j 1.0//EN"));
icsCalendar.getProperties().add(CalScale.GREGORIAN);
// Add the event and print
icsCalendar.getComponents().add(meeting);
System.out.println(icsCalendar);
OutputStream byteOutputStream = new ByteArrayOutputStream();
CalendarOutputter calendarOutputter = new CalendarOutputter(false)
calendarOutputter.output(icsCalendar, byteOutputStream)
println new String(byteOutputStream.toByteArray())
I figured it out. I was using 4.0.0-alpha version. However, when I switched it to the version: 3.2.2 it worked fine.
Related
I would like my sent msg log which is an embedded msg to have a timestamp, so it would have a footing like bot_name • Today at 10:48 PM
Here is my current code,
#bot.event
async def on_message(ctx):
if ctx.author.bot: return
else:
log_msg = bot.get_channel(1023451687857442828)
embed = discord.Embed(
title = "Sent Message",
description = f"""This message was sent by{ctx.author.mention}, in {ctx.channel}\n**Message:** "{ctx.content}" """,
color = discord.Colour.green(),
)
embed.set_author(name=ctx.author)
embed.set_footer(text="bot_name")
await log_msg.send(embed=embed)```
You could do the following:
(remaining of your code)
now = datetime.now() # Gets your current time as a datetime object
embed.set_footer(text=f'bot_name • Today at {now.strftime("%H:%M")}') # Set your embed footer with the formatted time
await log_msg.send(embed=embed) # Sends your footer (already present in your original code)
If you don't have it imported already, you'll have to import datetime from datetime, or import datetime and do datetime.datetime.now() instead of just datetime.now()
You can use ctx.message.created_at to add a timestamp. That would look like this in the context of your code:
#bot.event
async def on_message(ctx):
if ctx.author.bot: return
else:
log_msg = bot.get_channel(1023451687857442828)
embed = discord.Embed(
title = "Sent Message",
description = f"""This message was sent by{ctx.author.mention}, in {ctx.channel}\n**Message:** "{ctx.content}" """,
color = discord.Colour.green(),
# message created at code below
timestamp = ctx.message.created_at
)
embed.set_author(name=ctx.author)
embed.set_footer(text="bot_name")
await log_msg.send(embed=embed)
Hope this helps
I have been trying to build a SagemakerUser from the base User class in the Locust library. The issue though is when I use it with a timed shape test, when said test ends (you can see a message: Shape test stopping) the load test shrugs it off and continues. Below is the script I have written to this end. My question is how is this behaviour explained?
import pandas as pd
from locust import HttpUser, User, task, TaskSet, events, LoadTestShape
from sagemaker.serializers import JSONSerializer
from sagemaker.session import Session
import sagemaker
import time
import sys
import math
import pdb
df = "some df to load samples from"
endpoint = "sage maker end point name"
class SagemakerClient(sagemaker.predictor.Predictor):
def predictEx(self, data):
start_time = time.time()
start_perf_counter = time.perf_counter()
name = 'predictEx'
try:
result = self.predict(data)
except:
total_time = int((time.perf_counter() - start_perf_counter) * 1000)
events.request_failure.fire(request_type="sagemaker", name=name, response_time=total_time, exception=sys.exc_info(), response_length=0)
else:
total_time = int((time.perf_counter() - start_perf_counter) * 1000)
events.request_success.fire(request_type="sagemaker", name=name, response_time=total_time, response_length=sys.getsizeof(result))
class SagemakerLocust(User):
abstract = True
def __init__(self, *args, **kwargs):
super(SagemakerLocust, self).__init__(*args, **kwargs)
self.client = SagemakerClient(
sagemaker_session = Session(),
endpoint_name = "sagemaker-test",
serializer = JSONSerializer())
class APIUser(SagemakerLocust):
#task
def call(self):
request = df.text.sample(1, weights=df.length).iloc[0]
self.client.predictEx(request)
class StepLoadShape(LoadTestShape):
"""
A step load shape
Keyword arguments:
step_time -- Time between steps
step_load -- User increase amount at each step
spawn_rate -- Users to stop/start per second at every step
time_limit -- Time limit in seconds
"""
step_time = 30#3600
step_load = 1
spawn_rate = 1
time_limit =2#3600*6
#pdb.set_trace()
def tick(self):
run_time = self.get_run_time()
if run_time > self.time_limit:
return None
current_step = math.floor(run_time / self.step_time) + 1
return (current_step * self.step_load, self.spawn_rate)
I am converting some legacy Java code written for Flink version 1.5 to Flink version 1.13.1. Specifically, I'm working with Table API. I have to read data from CSV file, perform some basic SQL and then write results back to a file.
For Flink version 1.5, I used the following code to perform above actions
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
BatchTableEnvironment tableEnv = TableEnvironment.getTableEnvironment(env);
TableSource tableSrc = CsvTableSource.builder()
.path("<CSV_PATH>")
.fieldDelimiter(",")
.field("date", Types.STRING)
.field("month", Types.STRING)
...
.build();
tableEnv.registerTableSource("CatalogTable", tableSrc);
String sql = "...";
Table result = tableEnv.sqlQuery(sql);
DataSet<Row1> resultSet = tableEnv.toDataSet(result, Row1.class);
resultSet.writeAsText("<OUT_PATH>");
env.execute("Flink Table-Sql Example");
In order to convert above code to Flink version 1.13.1, I wrote the following code
import org.apache.flink.table.api.Table;
import org.apache.flink.api.java.DataSet;
import org.apache.flink.table.api.TableEnvironment;
import org.apache.flink.table.api.EnvironmentSettings;
import org.apache.flink.api.java.ExecutionEnvironment;
import org.apache.flink.table.api.bridge.java.BatchTableEnvironment;
EnvironmentSettings settings = EnvironmentSettings
.newInstance()
.inBatchMode()
.build();
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
TableEnvironment tableEnv = TableEnvironment.create(settings);
final String tableDDL = "CREATE TEMPORARY TABLE CatalogTable (" +
"date STRING, " +
"month STRING, " +
"..." +
") WITH (" +
"'connector' = 'filesystem', " +
"'path' = 'file:///CSV_PATH', " +
"'format' = 'csv'" +
")";
tableEnv.executeSql(tableDDL);
String sql = "...";
Table result = tableEnv.sqlQuery(sql);
// DEPRECATED - BatchTableEnvironment required to convert Table to Dataset
BatchTableEnvironment bTableEnv = BatchTableEnvironment.create(env);
DataSet<Row1> resultSet = bTableEnv.toDataSet(result, Row1.class);
resultSet.writeAsText("<OUT_PATH>");
env.execute("Flink Table-Sql Example");
However, BatchTableEnvironment is marked as "Deprecated" in Flink version 1.13. Is there any alternative to convert Table to Dataset or to directly write a Table to a file?
I'm trying to embed python in my C application. I download the package in python official website and manage to do a simple Hello World.
Now I want to go deeper and use some libraries of python like numpy, keras, tensorflow...
I'm working with Python 3.5.4, I installed all the needed package on my PC with pip3 :
pip3 install keras
pip3 install tensorflow
...
then I created my script and launch it in python environment, it works fine :
Python:
# Importing the libraries
#
import numpy as np
import pandas as pd
dataset2 = pd.read_csv('I:\RNA\dataset19.csv')
X_test = dataset2.iloc[:, 0:228].values
y_test = dataset2.iloc[:, 228].values
# 2.
import pickle
sc = pickle.load(open('I:\RNA\isVerb_sc', 'rb'))
X_test = sc.transform(X_test)
# 3.
import keras
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import Dropout
classifier = Sequential()
classifier.add(Dense(units = 114, kernel_initializer = 'uniform', activation = 'relu', input_dim = 228))
classifier.add(Dropout(p = 0.3))
classifier.add(Dense(units = 114, kernel_initializer = 'uniform', activation = 'relu'))
classifier.add(Dropout(p = 0.3))
classifier.add(Dense(units = 1, kernel_initializer = 'uniform', activation = 'sigmoid'))
classifier.compile(optimizer = 'adam', loss = 'binary_crossentropy', metrics = ['accuracy'])
classifier.load_weights('I:\RNA\isVerb_weights.h5')
y_pred = classifier.predict(X_test)
y_pred1 = (y_pred > 0.5)
from sklearn.metrics import confusion_matrix
cm = confusion_matrix(y_test, y_pred1)
But when I execute the same script in a C environment with embed python it didn't work :
At first, I execute my script directly with PyRun_SimpleFile with no luck, so I sliced it in multiple instructions with PyRun_SimpleString to detect the problem :
C:
result = PyRun_SimpleString("import numpy as np"); // result = 0 (ok)
result = PyRun_SimpleString("import pandas as pd"); // result = 0 (ok)
...
result = PyRun_SimpleString("import pickle"); // result = 0 (ok)
... (all insctruction above works)
result = PyRun_SimpleString("import keras"); // result = -1 !!
... (all under this failed)
but there is not a single stack trace about this error, I tried this but I just got :
"Here's the output: (null)"
My initialization of Python in C seems correct since others libraries import fine :
// Python
wchar_t *stdProgramName = L"I:\\LIBs\\cpython354";
Py_SetProgramName(stdProgramName);
wchar_t *stdPythonHome = L"I:\\LIBs\\cpython354";
Py_SetPythonHome(stdPythonHome);
wchar_t *stdlib = L"I:\\LIBs\\cpython354;I:\\LIBs\\cpython354\\Lib\\python35.zip;I:\\LIBs\\cpython354\\Lib;I:\\LIBs\\cpython354\\DLLs;I:\\LIBs\\cpython354\\Lib\\site-packages";
Py_SetPath(stdlib);
// Initialize Python
Py_Initialize();
When inside a Python cmd, the line import keras take some time (3sec) but works (a warning but I found no harm around it) :
>>> import keras
I:\LIBs\cpython354\lib\site-packages\h5py\__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
from ._conv import register_converters as _register_converters
Using TensorFlow backend.
>>>
I'm at loss now, I don't know where to look at since there is no stack trace.
it seems like when you import keras, it executes this line :
sys.stderr.write('Using TensorFlow backend.\n')
or sys.stderr was not defined in python embedded on windows
A simple correction is to define sys.stderr, for example :
import sys
class CatchOutErr:
def __init__(self):
self.value = ''
def write(self, txt):
self.value += txt
catchOutErr = CatchOutErr()
sys.stderr = catchOutErr
I'm trying to filter database entries by their datetime:
models.py:
from django.db import models
class ContestEvent(models.Model):
year = models.DateTimeField()
month = models.DateTimeField()
In my view I define a function calender:
def calendar(request, pYear, pMonth):
"""
Show calendar of events for specified month and year
"""
lYear = int(pYear)
lMonth = int(pMonth)
lCalendarFromMonth = datetime(lYear, lMonth, 1)
lCalendarToMonth = datetime(lYear, lMonth, monthrange(lYear, lMonth)[1])
my_workouts = ContestEvent.objects.filter(id__year=lCalendarFromMonth, id__month=lCalendarToMonth)
lCalendar = html_calendar.WorkoutCalendar(my_workouts).formatmonth(lYear, lMonth)
Then I got the following error:
Request Method: GET
Request URL: http://127.0.0.1:8000/htmlcalendar/
Exception Type: TypeError
Exception Value:
int() argument must be a string or a number, not 'datetime.datetime'
Exception Location: C:\Python25\lib\site-packages\django\db\models\fields\__init__.py in get_db_prep_lookup, line 225
The error is the same, when I define my Model with year = models.IntegerField() instead of year = models.DateTimeField()
What is wrong here. I'm a Django Beginner.
Thank you in advance !!
I would say if you want the month and year then use IntegerField, and when you do that you no longer need to create datetime objects to pass to your filter. Try something like this:
class ContestEvent(models.Model):
year = models.IntegerField()
month = models.IntegerField()
def calendar(request, pYear, pMonth):
"""
Show calendar of events for specified month and year
"""
lYear = int(pYear)
lMonth = int(pMonth)
my_workouts = ContestEvent.objects.filter(year=lYear, month=lMonth)