ng-store | FireBase shopping cart project built for front and admin | Dashboard library
kandi X-RAY | ng-store Summary
kandi X-RAY | ng-store Summary
A take on AngularJS and FireBase shopping cart project built for front and admin SPA app development Demo: https://ng-store.firebaseapp.com/
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Trending Discussions on ng-store
QUESTION
This: Where the git clone passwords are being stored or cached? is basically the question I have but it's unanswered.
If I clone a private repository from my github account via https, i get asked for username and password once. And then never ever again. I looked up in my local .git folder if I can found any password in plain text but I can't find any. I also looked in my windows User folder for the .git-credential, there is none. In my home folder is also no .config/git folder. I search everywhere but I don't know where the credentials are stored. If i push my commits of the repo to the server, it will just do it without asking me for password.
I am using windows 10 and git version 2.24.1.windows.2
...ANSWER
Answered 2022-Mar-19 at 14:05The credentials are stored in windows credentials
.
Click on start
> control panel
> search for windows credentials
> manage your credentials
.
Over there the credentials used for git can be found.
QUESTION
Starting from a minimal Vue2+Vuex typescript app created with @vue/cli
. I want to ensure references to this.$store.state
within a component are of the correct type declared by the Vuex store and its modules.
How can I achieve this? Without intervention, all references to this.$store
resolve to Store
.
In this commit I changed the default src/store/index.ts
created by @vue/cli
to introduce a message
property in the store...
ANSWER
Answered 2022-Jan-30 at 13:49The module name you're using in your type augmentation is for Vue 3 only (the code is slightly different in Vue 2), but support for type augmentation of the $store
instance property was only added in Vuex 4. It's not possible in Vuex 3.
However, you could actually use the exported store
instance (already typed as HelloStore
) instead of this.$store
, as they're the same instance:
QUESTION
I’ve been developing a dash app that uses a long_callback
, and for development I’ve been using a diskcache
backend for my long_callback_manager
, as recommended by the guide I found here: https://dash.plotly.com/long-callbacks
When I tried running my app using gunicorn, it failed to start because of something apparently wrong with diskcache
. As such, I decided to switch to a celery/redis backend since that’s recommended for production anyway.
I got a redis server running (responds properly to redis-cli ping
with PONG
), and then started the app again. This time it started up fine, and all of the normal callbacks work, but the long_callback
does not work.
Details:
- The page more or less hangs, with the page title flashing between the normal title and the
Updating...
title, indicating that the app thinks it’s “waiting” for a response/update from thelong_callback
. - The values set by the running argument of the
long_callback
are set to their starting value, indicating that the app recognizes that thelong_callback
ought to run. - By placing a print statement as the first line within the
long_callback
function and seeing that it does not print, I’ve determined that the function never starts. - The failure happens both with gunicorn and without gunicorn.
These details all point to the problem being the celery/redis backend. No errors are shown, neither on the client/browser nor on the server’s stdout/sterr.
How do I get a celery/redis backend working?
UPDATE: After realizing that the __name__
variable is being used and that its value changes depending on the file from which it is referenced, I've also tried moving the code which creates celery_app
and LONG_CALLBACK_MANAGER
into app.py
, to no avail. The exact same thing happens.
ANSWER
Answered 2021-Oct-21 at 04:03Re-posting the solution from the plotly community forum:
https://community.plotly.com/t/long-callback-with-celery-redis-how-to-get-the-example-app-work/57663
In order for the long callback to work, I needed to start 3 separate processes that work in conjunction:
- the Redis server:
redis-server
- the Celery app:
celery -A app.celery worker --loglevel=INFO
- the Dash app:
python app.py
The commands listed above are the simplest version. The full commands used are given further down with appropriate modifications.
DetailsI moved the declaration of the celery app from src/website/long_callback_manager.py
to src/app.py
for easier external access:
QUESTION
In an attempt to profile & optimize a caching algorithm, I got stuck at something I don't understand.
Here is the hot-spot of the perf's report (in Ubuntu 18.04 LTS and g++ 7.5):
How does just a "mov" operatiaon between rax and rdx registers cause ~30% of total run-time of program? It's not a register-heavy program (an LRU-cache approximation algorithm that is doing ~50million lookups per second at max and this is around 400MB/s throughput(and certainly not faster than RAM for bigger key-value pairs) which should not be related to register bandwidth at all)
Test system's CPU is FX8150 and has 1 channel memory attached with 9GB/s bandwidth which is way higher than this single-thread cache can achieve for just "int" key + "int" value pairs. So I guess it should be safe to leave RAM out of this problem. Also the mov instruction looks like a part of std::unordered_map's lookup operations. I know this CPU is old but not really ancient-old so perhaps compiler is not using the right instruction here due to some "support for old CPU" issue?
Source code to reproduce the hot-spot:
...ANSWER
Answered 2021-Oct-06 at 19:17That's not moving between rax
and rdx
.
That's indexing into an array pointed to by rax
by rdx
and putting the result in rax
. Probable L1 cache miss.
QUESTION
For the following SQL query,
...ANSWER
Answered 2021-Aug-22 at 15:03there is no such thing as an LEFT INNER JOIN they are always LEFT OUT JOIN
QUESTION
Is it possible to create a materialized view from a consumer, without really writing the logic for it? As my data in kafka topic can be materialized without any transformations
...ANSWER
Answered 2021-Jul-26 at 18:33You can write an empty consumer function as below.
QUESTION
I'm struggling to configure Spring Cloud Stream correctly for Kafka-Streams to use SSL with a trust-store and key-store.
In my application i have multiple Streams running, the SSL configuration should be the same for all of them.
The application looks like this:
Stream1: Topic1 > Topic2
Stream2: Topic2 > Topic4 Topic3
Stream3: Topic4 > Topic5
I use the latest Spring-Cloud Stream Framework with Kafka-Streams, with Avro Models. I can configure the schema-registry.
...ANSWER
Answered 2021-Jul-15 at 17:16You are missing the streams
element in the property name - you are configuring the Kafka MessageChannel Binder instead.
QUESTION
I have recently upgraded to the latest version of asp.net boilerplate. I have managed to fix all issues with the upgrade.
The only issue left is that my custom repositories are no longer working.
The error I am getting is "Context does not exist in the current context" I have followed the tutorial for adding custom repositories but I am not sure if I have missed something in the upgrade. The error is in the helpers provided in the custom repositories tutorial.
Tutorial reference below:
BASE Repository
...ANSWER
Answered 2021-May-19 at 14:16FIXED!!
Changed
var command = Context.Database.GetDbConnection().CreateCommand();
To
var command = GetConnection().CreateCommand();
Must be some sort of change in EFCoreRepository Pattern
QUESTION
I am trying to deduplicate the records using input topic as KTable and sinking them to output topic. But the KTable is still sinking the duplicate records to the output topic. Not sure where am I going wrong.
Here is my application.yml
...ANSWER
Answered 2021-May-07 at 19:46I think the problem that you are trying to solve, will be well solved by compacted topic here. Once you deliver data with the same key to a compacted topic and compaction is enabled on broker level (which is enabled by default), each broker will start a compaction manager thread and a number of compaction threads. These are responsible for performing the compaction tasks. Compaction does nothing but keeps the latest values of each key and cleans up the older (dirty) entries.
Refer this Kafka Documentation for more details.
QUESTION
I have searched for similar questions, but they are old.
I am trying to optimize my work by using a stored procedure to retrieve all related tables to one to avoid multiple queries. I want to use this kind of stored procedure which returns multiple tables as JSON and output parameters, but I am new to ASP.NET Core MVC with EF. Could someone guide me in the right direction? How can I read that output parameter and convert them to objects? it's worth mentioning that I want to use tables for dropLists.
The main table has some columns which are mentioning to some tables. I want to have those table values and show them in some dropdowns or checkboxes.
...ANSWER
Answered 2021-Mar-30 at 11:21it was not very hard, maybe someone question in the future:
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