20up | This program downloads | Continuous Backup library
kandi X-RAY | 20up Summary
kandi X-RAY | 20up Summary
20up is a program for the backup of a Spanish social network. This program downloads all of the photos, comments, private messages and friends' information of a specific user.
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Top functions reviewed by kandi - BETA
- Get all the albums
- Normalize text
- Get picture from page source
- Get comments
20up Key Features
20up Examples and Code Snippets
Community Discussions
Trending Discussions on 20up
QUESTION
I am implementing an export function with django-import-export-celery
and the instructions
are only three steps. I followed all of them, and when I try to do an export, it gives me an error on the celery process:
This is what my code looks like:
...ANSWER
Answered 2022-Mar-04 at 08:38You have to make a migrate. Django doesn't recognize "export_job" until you make a migrate.
QUESTION
I'm creating an app using React Native (using Expo, for what it's worth) and would like the app to be able to support donations via Apple Pay.
Expo's Stripe documentation includes a Snack that demonstrates how to support Apple Pay, and the documentation mentions that the Snack uses a Glitch server.
Furthermore, the Stripe documentation also seems to suggest that I need to create a web service to make things work ("For security reasons, your app can’t create these objects. Instead, add an endpoint on your server that...").
I had assumed that Apple Pay took care of these sorts of things behind the scenes and that payments would be processed by Apple's own servers. Do I really need to create a web service to support donations via Apple Pay?
...ANSWER
Answered 2022-Feb-13 at 21:22Yes, absolutely, without doubt, you need a server for that. The payment intent is created with a secret key and your secret key needs to stay secret on your server. Anything you put on the client is insecure and can be manipulated by those with bad intent.
If you wanted to have a client side only way to collect payments you can use Stripe Checkout, but from what I hear, it's fairly limited Related Question
QUESTION
I have my records stored in the Algolia index having a userID
attribute associated with each. I want to perform a search such that the records visible to the user will be filtered such that the userID
s match. I can easily do this on the frontend using the instantsearch
library and the userID
stored in localStorage.
Problem with passing userID on the frontend
Anyone using the client can manipulate the Algolia request with different userID
s that will filter results relevant to those IDs. A security issue here. But as Algolia mentioned here frontend search can be upto 10x faster.
Solution using backend search
Can implement this such that a normal HTTP request is send to the backend with the relevant search parameters and filters and adding the userID
in the backend. After that doing the search in the backend and sending the data back to the frontend using a HTTP response. Slower since it has go through multiple servers just to add the userID
.
Question
I want to know if there is a still a workaround for this using frontend search and preserving security since speed is also important. I'm new to using Algolia and still not fully aware of what it is capable of.
Thanks.
...ANSWER
Answered 2022-Jan-13 at 15:05There is a baked-in way to add user-based security for record access control.
You need to generate ephemeral API keys with filters hard coded. The end user cannot alter those filters to get around the security. When a user comes through your login flow, the backend generates this key with the appropriate filters (e.g. 'filters' => visible_by:group/'.$currentGroupId.' OR visible_by:group/Everybody'
and passes it to the front end in places of the search-only API key.
Your records will need to include a matching attribute for the filter (visible_by
in this case) with the appropriate values.
You can read more about it here:https://www.algolia.com/doc/guides/security/api-keys/how-to/user-restricted-access-to-data/#generating-a-secured-api-key
QUESTION
Is it possible for AWS API Gateway to validate an HTTP API's incoming payloads before it executes the Lambda function, saving the expense of calling a Lambda function when the input is invalid?
I'm aware that the older REST API's can have their input validated by API Gateway, but I'm using HTTP APIs because they are lighter and 71% less expensive and fit my needs very well.
Any suggestions/workarounds very welcome.
...ANSWER
Answered 2021-Jul-19 at 00:54No its not possible. Only REST api support validation:
QUESTION
I use Google sheet and app scripts to create mail merge and it works fine with name, email, and general text information.
I am adding a column with a pre-filled Google Form link, like this.
Although the mail merge works fine, the link does not work. the email recipient cannot click on the Google form link with pre-filled information.
Recipient's Mail Merge Results
What I'd expect to see is a Google Form hyperlink in the email body and the email recipient can click on it and be directed to the Google form with pre-filled information.
Is there a way to include pre-filled information too?
Example of the Google sheet used for mail merge.
Mail merge app script [From Google app script template]
...ANSWER
Answered 2021-Jun-24 at 18:01- You are filling your template with the actual text thus when sent in an email, it still has the exact value from the sheet.
- You need to convert your link properly using the built-in function
encodeURI
. I modified your functionfillInTemplateFromObject_
and add a line there to useencodeURI
as it will be the easiest way to fix the issue.
QUESTION
I am using TMS570LS3137 (DP84640 Phy). Trying to program UPD(unicast) using lwip to send 2MB of data. As of now i can send upto 63kb of data. How to send 2MB of data at a time. UDP support upto 63kb of transmission only, but in this link https://stackoverflow.com/questions/32512345/how-to-send-udp-packets-of-size-greater-than-64-kb#:~:text=So%20it's%20not%20possible%20to,it%20up%20into%20multiple%20datagrams. They have mentioned as "If you need to send larger messages, you need to break it up into multiple datagrams.", how to proceed with this?
...ANSWER
Answered 2021-Mar-09 at 11:31Since UDP uses IP, you're limited to the maximum IP packet size of 64 KiB generally, even with fragmentation. So, the hard limit for any UDP payload is 65,535 - 28 = 65,507 bytes.
I need to either
- chunk your data into multiple datagrams. Since datagrams may arrive out of sending order or even get lost, this requires some kind of protocol or header. That could be as simple as four bytes at the beginning to define the buffer offset the data goes to, or a datagram sequence number. While you're at it, you won't want to rely on fragmentation but, depending on the scenario, use either the maximum UDP payload size over plain Ethernet (1500 bytes MTU - 20 bytes IP header - 8 bytes UDP header = 1472 bytes), or a sane maximum that should work all the time (e.g. 1432 bytes).
- use TCP which can transport arbitrarily sized data and does all the work for you.
QUESTION
Related to:
but I need to make the same request a given number of times. E.g. for an endpoint:
...ANSWER
Answered 2020-Oct-31 at 09:27You need to somehow get the gadget_id
and the number of runs, since that is not part of the core question here, I'm simply setting those as environment variables.
In the pre-request script, if an environment variable counter
is not existing, it is being set to 1
. If it is existing, it is being increased by 1
:
QUESTION
I have a script that downloads larger amounts of data from an API. The script takes around two hours to run. I would like to run the script on GCP and schedule it to run once a week on Sundays, so that we have the newest data in our SQL database (also on GCP) by the next day.
I am aware of cronjobs, but would not like to run an entire server just for this single script. I have taken a look at cloud functions and cloud scheduler, but because the script takes so long to execute I cannot run it on cloud functions as the maximum execution time is 9 minutes (from here). Is there any other way how I could schedule the python script to run?
Thank you in advance!
...ANSWER
Answered 2020-Oct-25 at 19:51For running a script more than 1h, you need to use a Compute Engine. (Cloud Run can live only 1h).
However, you can use Cloud Scheduler. Here how to do
- Create a cloud scheduler with the frequency that you want
- On this scheduler, use the Compute Engine Start API
- In the advanced part, select a service account (create one or reuse one) which have the right to start a VM instance
- Select OAuth token as authentication mode (not OIDC)
- Create a compute engine (that you will start with the Cloud Scheduler)
- Add a startup script that trigger your long job
- At the end on the script, add a line to shutdown the VM (with Gcloud for example)
Note: the startup script is run as ROOT user. Take care of the default home directory and the permission of the created files.
QUESTION
Actually the question is about the capacity of a single instance of the Redis, regardless of the Memory size.
Redis can handle up to 2^32 keys, and was tested in practice to handle at least 250 million keys per instance. Every hash, list, set, and sorted set, can hold 2^32 elements. In other words your limit is likely the available memory in your system.
So regardless of the server's memory size, Can I create 4 "set" and fill them with almost 2^32 keys in a single instance of Redis? That means 4*(2^32) keys by total.
...ANSWER
Answered 2020-Jun-16 at 10:30Sets do not contain keys, they contain strings.
Redis Sets are an unordered collection of Strings.
Of course, your string could happen to share the same characters as one of your keys, but there's nothing special about that. So, yes, you could have four sets containing up to 4 * (2^32) strings, but the total number of keys would still be limited to 2^32.
QUESTION
I added this artifact which is a war to my gradle project dependencies. I need to extend some classes, and use a modified servlet contexts from it.
I was expecting the war to be imported as is then I would use gradle tasks to manipulate to include the jars to dependencies, copy static resources to correct classpath etc. But gradle actually added a bunch of jars to dependency.
Im not sure if gradle scanned recursively all paths for jars and poms or probably just the jars under the WEB-INF/classes folder in the war. I can assume probably not the poms repositories as stated here.
Im I correct is assuming the jars in the WEB-INF/lib folder in the deflated war were not imported? its hard to tell as there are a lot of shared dependencies between my project and the war in question
Then whats the best way to declare a dependency on a war in the maven repo/jcenter if I need to extend and modify as I described at the top?
UPDATE:
I am now trying to use answer below and this solution https://discuss.gradle.org/t/how-to-add-an-artifactory-war-as-a-gradle-dependency/19804/2 , This only worked after moving the directory with the copied jars outside the buildDir my build.gradle
...ANSWER
Answered 2020-May-15 at 14:54By declaring a dependency on a WAR, Gradle will simply add it to the list of files for the matching configuration. So if you add a WAR in implementation
, it will simply be on the compileClasspath
and runtimeClasspath
without any processing.
So for sure Gradle will not transform your WAR dependency in a dependency on the JARs it contains.
If you want to use a WAR to copy and modify some of its content before repackaging it, you can use an isolated and custom configuration to resolve it from a remote repositories. Then you will define a Gradle task that will take the files of that configuration as the input and do the required processing on the WAR. Note that the task could also be the starting point of a series of tasks manipulating the WAR to one output, then that output to another one, etc ...
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Install 20up
You can use 20up like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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