HnD | Customer Support system , integrating helpdesk features | Collaboration library
kandi X-RAY | HnD Summary
kandi X-RAY | HnD Summary
HnD is a Customer Support system, integrating helpdesk features and forums, and was built as an example of what you can do with LLBLGen Pro. HnD stands for Help and Discuss and starting with v3, it is running on .Net core 3.1+ and uses LLBLGen Pro for its data-access and also model management. It offers site owners a flexible and fast customer support system with, among other features: email notification, attachments, secure forums so only the topicstarter and people with a given action right can see / access the thread, search etc. etc. It’s open source and you can download it for free. To see HnD in action, go to the LLBLGen Pro support system: [
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QUESTION
I'm currently working in a Vue 3 project.
Using the this.$router.push({})
doesn't seem to work in the Pinia store.
I have also tried importing the useRouter --> import { useRouter } from "vue-router";
to simply use router.push, but yet nothing still seems to work.
I don't know what could be the problem or what I should use to navigate my routes from the actions in the Pinia store.
...ANSWER
Answered 2022-Apr-15 at 12:40The only place that you need to import vue-router
is in your router file.
You can then use it anywhere in the app, by importing YOUR router file (which implrments vue-router).
So all you need to do in your store, is import your router, then call the push method, like you're doing, and it should work.
QUESTION
I spent a few hours trying to figure out how to implement curl_multi_perform() in a general sort of way. This example may help out others.
It basically takes a struct object and places all curl output into that as a character string. The programmer can then take that character string and do whatever processing they like. If anyone has any improvements, etc I'd be more than happy to see them.
Here's a header file called "multicurl.h" with a struct and function prototypes.
...ANSWER
Answered 2021-Dec-21 at 00:11Here is an improved variation of the above example that should be more thread friendly using the suggestions provided.
A header file called "multicurl.h"
QUESTION
- I'm trying to add an aggregate function to my choropleth. On the latter I had managed, thanks to @RobRaymond, to obtain an animation by year while displaying the countries with a missing value with their names.
On the Plotly site [https://plotly.com/python/aggregations/] I saw that we could obtain a mapping with aggregates.
I tried to add it to my code but I can't get my expected result. What did I miss?
My code:
...ANSWER
Answered 2022-Jan-31 at 09:48- the code supplied to create a dataframe fails. Providing a dict to
pd.DataFrame()
all the lists need to be same length. Have synthesized a dataframe from this dict creating all lists of same length (plus as a side effect of this, make sure country name and code are consistent) - have used pandas named aggregations to create all of the analytics you want. Note there are a few that don't map 1:1 between deprecated plotly names and approach needed in pandas
- within
build_fig()
now have data frame dfa (with list of aggregations and no animation)
- clearly from this structure a trace can be created from each of the columns. By default make first one visible (count)
- add missing countries trace
- create updatemenus to control trace visibility based on selection which missing always being visible
QUESTION
When using cURL to take character streams off of the internet, when is the datastream converted from a multibyte datatype to a single byte character array?
I wrote a program here, which appears to work using ASCII in the callback function.
However, I wrote another program that uses UTF-8 with wchar_t datatypes, which also appears to work. The datastream does not appear to differentiate between the two datatypes, even though a wchar_t type is 4 bytes on my machine and a char is 1 byte.
I guess that there is some sort of type conversion going on transparent to this program, but I am not aware of it (I think that in UTF-8 ASCII characters still take 1 byte of memory, but when a program uses wchar_t datatypes the system pads regular ascii characters with zeros converting them to 4 bytes, but this was not something the programmer implemented...).
...ANSWER
Answered 2022-Jan-10 at 17:58As you would expect, it doesn't work. libcurl has no way to know the function expects a wchar_t*
when it should expect a char*
If you inspect MyOutputStruct1.memory[0]
, you'll find it doesn't contain what it should. For example, when requesting https://stackoverflow.com, it contains 0x4f44213c. This is obviously wrong since that's far outside the range of valid Code Points. This is actually the first four Code Points () jammed into one
wchar_t
(in LE order).
It kind of appears to work because of a second bug. When printing a wide string, you need to use %ls
, not %s
.
QUESTION
As I'm trying to fetch data and have the scraped data saved to the database under seeds.rb, I realized the same data would't overwrite itself. And as a result I got multiple repetitive data in the database.
The goal is to update the existing data with new info instead of creating new ones.
Here's how I fetch the data:
seed.rb
...ANSWER
Answered 2021-Dec-27 at 14:46Instead of just adding all found tickets into the database you need to check if a similar ticket already exists before creating a new one.
This can be done by changing
QUESTION
I have a dataset with about 50 columns (all indicators I got from World Bank), Country Code and Year. These 50 columns are not all complete, and I would like to fill in the missing values based on an lm fit for the column for that specific country. For example:
Doing this for a single country and a single column is absolutely fine when following these steps here: Filling NA using linear regression in R
However, I have over 180 different countries I want to do this to. And I want this to work for each indicator per country (so 50 columns total) So in a way, each country and each column would have its own linear regression model that fills out the missing values.
Here is how it looked after I did the steps above: This is the expected output for ONE column. I would like to do this for EVERY column by individual country groups.
However, the data looks like this:
There are numerous countries and columns that I want to perform this on just like the post above.
This is for a project I am working on for my data-mining / statistics class. Any help would be appreciated and thanks so much in advance!
EDIT
I tried this:
...ANSWER
Answered 2021-Dec-02 at 13:40Since you already know how to do this for one dataframe with a single country, you are very close to your solution. But to make this easy on yourself, you need to do a few things.
Create a reproducible example using dput. The
janitor
library has the clean_names() function to fix columns names.Write your own interpolation function that takes a dataframe with one country as the input, and returns an interpolated dataframe for one country.
Pivot_longer to get all the data columns into a one parameterized column.
Use the
dplyr
function group_split to take your large multicountry dataframe, and break it into a list of dataframes, one for each country and parameter.Use the
purrr
function map to map each of the dataframes in the list to a new list of interpolate dataframes.Use dplyr's bind_rows to convert the list interpolated dataframes back into one dataframe, and pivot_wider to get your original data shape back.
QUESTION
I have a reverse proxy server using Vert.x Web Proxy, implemented with pretty standard code:
...ANSWER
Answered 2021-Nov-23 at 19:11The answer to this question is simple: do not use HttpProxy if you want to capture responses.
After looking through the Vertx Web Proxy source code, it became clear to me that the HttpProxy has no capability for capturing responses. It became necessary to implement a web proxy that did so.
I assimilated the bulk of the Vertx Web Proxy code into my application, and created a proxy library that not only captures responses but captures requests as well. The new web proxy, called F3WebProxy, has lambdas that allow for coding custom actions when a proxy begins processing a request, and coding custom actions when the response is received. The interface is very simple and easy to use.
QUESTION
We are intermittently seeing the following error on our k8tes setup. The issue happens after we relaunch our tomcat pod which launches new Ignite client nodes.
I understand the first stack trace shows that Ignite has detected that the tcp communications spi has become unresponsive but I do not see how this has anything to do with the second stack trace. This seems like two totally unrelated errors but second one says the thread dump is at the same timestamp as the first. Thread dump at 2021/10/12 15:57:17
The issue can resolved by bringing down all the Ignite pods and relaunching them but A better understanding of this issue and a way to not need to restart Ignite would be apricated.
...ANSWER
Answered 2021-Oct-19 at 04:05When Ignite fails via FailureHandler, it make a thread dump of all of their threads (for analysis if it needs). Your second stacktrace looks like a part of thread dump.
QUESTION
I have 2 ignite servers with following discovery spi configured
...ANSWER
Answered 2021-Aug-20 at 13:29This is expected behavior. You should not perform any blocking operations inside an event listener, otherwise, you might get your thread to become blocked.
The thing is - the callback is being invoked on Ignite's internal thread and should be finished as quick as possible. Just forward the callback logic to a custom thread pool and you would be fine.
Alternatively, you might switch to Continuous Query that works in an async manner and doesn't have blocking mechanics.
QUESTION
I am using Synth() package (see ftp://cran.r-project.org/pub/R/web/packages/Synth/Synth.pdf) in R.
This is a part of my data frame:
...ANSWER
Answered 2021-Aug-18 at 06:32I cannot tell you what's going on behind the scenes, but I think that Synth wants a few things:
First, turn factor variables into characters;
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