simple-stock-management | Server component of the Simple Stock Management stock | Business library
kandi X-RAY | simple-stock-management Summary
kandi X-RAY | simple-stock-management Summary
This a demo/prototype repository for the server component of the Simple Stock Management stock and inventory system. It is built using web technologies, with a client/server architecture. The repository for the frontend app component is at: The system allows "stores" to request transfers of stock ("order") from a central stock repository ("warehouse"). Stock is adjusted for the "Warehouse Account" and the "Store Account" as stock transfers are "ordered". Email notifications are sent to the "warehouse" administrator(s) and the ordering "store manager". This project offers a web frontend that connects to a RESTful API backend. Data is stored in either a SQLite, mySQL or PostgreSQL (recommended) database.
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Top functions reviewed by kandi - BETA
- Compose a list of records
- Send email
- Validate email
- This function calculates the stock taken function
- Generate a report
- Overrides save method
- Dispatches an email
- Perform single update
- Get queryset
- Validate query type
- Validate a string
- Performs bulk update
- Serializes a model instance
- Displays an email
- Performs a single update
- Returns a queryset queryset
- Update password
- Validates that old and new passwords are identical
- Validate that the password is correct
- Takes a request and returns the result
- Validate data_to_transfer
- Return the latest record
simple-stock-management Key Features
simple-stock-management Examples and Code Snippets
Community Discussions
Trending Discussions on Business
QUESTION
TL;DR: I am looking for a C++14 equivalent of the following C++20 MWE:
...ANSWER
Answered 2022-Mar-04 at 07:43Yes. You can SFINAE the conversion operator:
QUESTION
I'm following the Sort Model documentation (https://material-ui.com/components/data-grid/sorting/#basic-sorting) and am using sortModel
and onSortModelChange
exactly as used in the documentation. However, I'm getting an infinite loop immediately after loading the page (I can tell this based on the console.log).
What I've tried:
- Using useCallback within the onSortChange prop
- Using server side sorting (https://material-ui.com/components/data-grid/sorting/#server-side-sorting)
- Using
if (sortModel !== model) setSortModel(model)
within the onSortChange function.
I always end up with the same issue. I'm using Blitz.js.
My code:
useState:
...ANSWER
Answered 2021-Aug-31 at 19:57I fixed this by wrapping rows
and columns
in useRefs and used their .current
property for both of them. Fixed it immediately.
QUESTION
I have an odd problem, where I am struggling to understand the nature of "static context" in Java, despite the numerous SO questions regarding the topic.
TL;DR:
I have a design flaw, where ...
This works:
...ANSWER
Answered 2022-Jan-26 at 17:11One way to solve the issue is by parameterizing the ParentDTO Class with its own children.
QUESTION
I'm trying to list all of my draft campaigns using the Facebook marketing API. By default, it seems, only non-draft (published?) campaigns are listed when calling
...ANSWER
Answered 2021-Dec-01 at 15:44I believe the only way to get draft campaigns is below:
- You should get all
addrafts
. On my account I have only 1 addraft that contains all draft campaigns, but maybe you can have more. URL for gettingaddrafts
:
https://graph.facebook.com/v12.0/act_/addrafts?access_token=&fields=name,ad_object_id,id
- Now you can get
addraft_fragments
. You can see all draft fragments of your ad_account (campaigns, adsets, ads), but you can easily find here what you want. URL for gettingaddraft_fragments
:
https://graph.facebook.com/v12.0//addraft_fragments?access_token=&fields=name,id,ad_object_id,ad_object_type,budget,ad_object_name,values
QUESTION
As defined here the Hindenburg omen indicator is:
The daily number of new 52-week highs and 52-week lows in a stock market index are greater than a threshold amount (typically 2.2%).
To me it means, we roll daily and look back 52 weeks or 252 business/trading days, then count the number of highs (or lows) and finally compute the return of that or pct_change, which is the ratio of new highs (or lows) they want to monitor e.g., being above 2.2%
...ANSWER
Answered 2021-Dec-21 at 02:21Interesting question! Could I suggest the following code - it runs much faster than the apply
solution because it is vectorised, and also lays out the steps a bit more clearly so you can inspect the interim results.
I got a different result to your code - you can compare by also plotting your result on the timeseries at bottom.
QUESTION
This is a followup to toggleClass of parent div not changing with onClick
In my HTML layout, I've found that I need to generate the div #filters
after the records, not before, because I need to use PHP to build the buttons for each state. This gave me the idea to use jQuery .append
to move the #filters to the #move-filters-here above the records. But after I filter on a state, the filters appear below the records and .append
doesn't work to move the #filters to #move-filters-here above the records.
Is .append
not working with (document).ready?
Is there a different way to get .append
to move the #filters?
Does .append
need to "fire" again after the Onclick function?
ANSWER
Answered 2021-Dec-19 at 18:07if you want append #filter
to #move-filters-here
you can do it like this:
QUESTION
I was investigating how Project Loom works and what kind of benefits it can bring to my company.
So I understand the motivation, for standard servlet based backend, there is always a thread pool that executes a business logic, once thread is blocked because of IO it can't do anything but wait. So let's say I have a backend application that has single endpoint , the business logic behind this endpoint is to read some data using JDBC which internally uses InputStream which again will use blocking system call( read() in terms of Linux). So if I have 200 hundred users reaching this endpoint, I need to create 200 threads each waiting for IO.
Now let's say I switched a thread pool to use virtual threads instead. According to Ben Evans in the article Going inside Java’s Project Loom and virtual threads:
Instead, virtual threads automatically give up (or yield) their carrier thread when a blocking call (such as I/O) is made.
So as far as I understand, if I have amount of OS threads equals to amount of CPU cores and unbounded amount of virtual threads, all OS threads will still wait for IO and Executor service won't be able to assign new work for Virtual threads because there are no available threads to execute it. How is it different from regular threads , at least for OS threads I can scale it to thousand to increase the throughput. Or Did I just misunderstood the use case for Loom ? Thanks in advance
AddonI just read this mailing list:
Virtual threads love blocking I/O. If the thread needs to block in say a Socket read then this releases the underlying kernel thread to do other work
I am not sure I understand it, there is no way for OS to release the thread if it does a blocking call such as read, for these purposes kernel has non blocking syscalls such as epoll which doesn't block the thread and immediately returns a list of file descriptors that have some data available. Does the quote above implies that under the hood , JVM will replace a blocking read
with non blocking epoll
if thread that called it is virtual ?
ANSWER
Answered 2021-Nov-30 at 21:58Your first excerpt is missing the important point:
Instead, virtual threads automatically give up (or yield) their carrier thread when a blocking call (such as I/O) is made. This is handled by the library and runtime [...]
The implication is this: if your code makes a blocking call into the library (for example NIO) the library detects that you call it from a virtual thread and will turn the blocking call into a non-blocking call, park the virtual thread and continue processing some other virtual threads code.
Only if no virtual thread is ready to execute will a native thread be parked.
Note that your code never calls a blocking syscall, it calls into the java libraries (that currently execute the blocking syscall). Project Loom replaces the layers between your code and the blocking syscall and can therefore do anything it wants - as long as the result for your calling code looks the same.
QUESTION
I work with some business logic written in Kotlin. I've got such a case in my method - I check a value for null, and if it IS null - I want to return null, else do some logic. My version looks like:
...ANSWER
Answered 2021-Nov-24 at 14:14You can use the ?.
operator in combination with let
.
QUESTION
I have the following df:
...ANSWER
Answered 2021-Oct-12 at 20:18Let's try (hopefully self-explained):
QUESTION
I am new to react and I find it sore in the eyes to look at the component flooded with lots of functions and variable initializations together with the UI. Is it possible to separate them?
Instead of the default setup, like below. How do I separate the business logic into another file?
...ANSWER
Answered 2021-Sep-26 at 08:50A common approach that I use myself is to separate the business logic into its own file myComponentHelper.js
This will also make it easier to test the function because it will not be able to use and change the react state without having it passed in as arguments and returning the changes.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install simple-stock-management
First, clone the repository to your file system.
Ensure you have access to a current version of PostgreSQL (either locally installed, or remote).
Ensure gunicorn is installed on your system.
Create a system user under which to run the application (e.g. django). Recursively change ownership of the application directory and all its sub directories to that user, then switch to operate as that user.
Change into the application's root directory.
Install a python virtual environment on your system and make that your python source.
Run pip3 install -r requirements.txt.
Copy StockManagement/settings.DEFAULT.py to StockManagement/settings.py.
Edit StockManagement/settings.py according to your environment. Be sure to add the URL of your frontend web client to the CORS_ORIGIN_WHITELIST list property.
Create the PostgreSQL database and user, as defined.
Create a directory named secret_key in the application's root directory and change its ownership to the application user (as created above).
Change permissions on the secret_key directory so only the user running the application can read it, e.g.: chmod 0700 secret_key.
As root (using sudo), create the log directory and file, e.g.: sudo mkdir -p /var/log/django; sudo touch /var/log/django/ssm.log
Change ownership of the log directory and its log file to the user running the app, e.g.: sudo chown -R django /var/log/django/
Create a systemd unit file to run the gunicorn service at /etc/systemd/system/gunicorn.service, then enable and start start the systemd service (details of how to do this is outwith the scope of this document, but if you need further advice feel free to get in touch).
Create a systemd unit file to run the django_q service (which manages long running operations, such as 'stock taking') at /etc/systemd/system/djangoq.service. Enable and start the systemd service (details of how to do this is outwith the scope of this document, but if you need further advice feel free to get in touch).
Install a web server (recommended Nginx) to operate as a reverse proxy and create an appropriate configuration file to connect to the unix socket created by gunicorn (as defined above). See the official Nginx and Django documentation for configuration examples.
Create the database tables, using the commands: python manage.py makemigrations; python manage.py makemigrations stock_control; python manage.py makemigrations accounts; python manage.py migrate.
If running for the first time (i.e. your persistent database folder is empty), define a superuser by issuing the following commands from the application's root directory python manage.py createsuperuser.
In the application's root directory, run python manage.py collectstatic, to add the static files to the appropriate directory (ensure the path to the static directory has been correctly configured in your web server configuration).
Now visit the app's administration area in your web browser (e.g. https://your.domain.tld/admin).
If running for the first time, create an administrators group and add a new user to it, as follows: Click add next to Groups in the Authentication & Authorization section. Name the new group administrators. Under Available permissions, scroll to the bottom and select all the spm_app permissions, clicking the arrow on the right to add these to the Chosen permissions pane (you may hold shift to select multiple at once). Once done, click Save. Create 2 additional user accounts; one for an application administrator (responsible for managing the warehouse), the other a regular user (a manager of a client shop). Ensure both users are assigned the staff status. Assign the administrator user to the administrators group, by: navigating to Home > Users > username; scrolling down to the Permissions section; selecting administrators from the Available groups box; and double-clicking it. This moves the group to the Chosen groups pane. Then, scroll to the bottom of the page and click Save.
If running for the first time, it's also necessary to initialise the provided frontend client by creating a single stock line from the admin dashboard (this only needs to be done if there are zero stock lines in the database - all subsequent stock items may be added directly from the provided frontend client by users with the administrators privilege). To do this: Navigate to Home > Stock_Control > Stock datas (accessible via the sidebar) Tap the Add Stock Data button (top right of the screen) Complete and submit the form.
Click LOG OUT (top right)
Login to the web client using the administrator user you created. Begin using Simple Stock Management.
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