i implemented a chat app in swift using firebase real time db, there user can send images, emojis and Text.Now i have a requirement of export chat or get the conversation's backup with media and text as per whatsApp.help me to solving it out.
While Firebase offers a backup for the Realtime Database, this doesn't fit your needs here, since you'll want a per-user export of the data.
Since this is specific to your application, you will have to code it yourself, just like the good folks at WhatsApp have probably done. It should be a matter of iterating over all data sources for the user, getting the data through the relevant API (that you're already using to display that data), and then writing to a local file). You can do this either client-side in your Swift code, or server-side on a server you already may have, or using Cloud Functions.
If you're looking for some inspiration for the latter, there is a sample repository that shows how to clean up a user's data, based on a set of wipe-out rules. You'll need to significantly modify this example though, so I'm not convinced this will be less work than rolling your own from scratch.
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I am working on a data mining system and one of the requirements is it being able to perform the analysis without the use of API. Is there a way to download the Twitter database (or a big part of it, at least) and work with it locally?
There is a paper about creating corpora from twitter. It is called “TWORPUS – An Easy-to-Use Tool for the Creation of Tailored Twitter Corpora”. I recommend to read it because it also covers licensing issues etc. They also provide there code on Github.
In fact, you cannot download the twitter data dumps directly. I can download single tweets and stored them in a corpus. But, it is also not allowed to share that data. Therefore, the authors built the Tworpus client to create private twitter corpora.
APIs are the official way of getting Twitter data and they work really well so it is not comprehensible why you do not want to use APIs. The web scraping is a work around but not recommended, in addition you would like to get a big part of it, so I do not think you will be satisfied with it. You can also buy the data from Gnip.
I am working on an app that will access an external database that needs to be able to load quickly. This is our own database, and the issue is where to store it for the fastest loading time. Currently, the database resides on a wpengine website, but it loads very slowly. One option is uploading a .plist file sporadically to the user's app when new data is available; it seems like that might not be very secure - although it would probably make accessing the data lightning fast. I was thinking that possibly CloudKit shared storage would be the best place to store the data if I wanted to keep it fast and also keep users from viewing it directly. I would appreciate any thoughts or suggestions.
As far as I understand, CloudKit will be OK for you. You can have a look at NSHipster's excellent summary here.
You also have a link to a tutorial in the comments above. If you want to discuss it further, don't hesitate to contact me through chat.
I'm new to IOS development and wanted to make an app for learning purposes. My idea is that I have a Single Webpage that has a live count of how many people are in the gyms on my University's Campus.
How can I pull data from that webpage and show it on my app with a little bit of arithmetic such as :
Database how many people are usually in the gym at a particular time and then give predictions.
let users chose a preferential gym and give them notifications based on their regular check in times
if the rate of entry in the gym is high, then notify users to avoid going then. and vice-versa.
I don't want answer to all the above, but if you could give me a heading, that would be awesome!
EDIT 1:
The webpage looks like this : https://studentaffairs.psu.edu/CurrentFitnessAttendance/
Your question is too vague for a specific answer.
You need a back-end API into your web page. It could be as simples as a PHP or Python script that responds to http get requests and returns JSON data with the statistics you want. You'd then write your app to issue the appropriate query, parse the response, and display the results to your users.
Notifications would be more complicated. You'd probably need to set up remote notifications, which would require support on the server side and registering with Apple' remote notification service.
I’m trying to tie data from another product with my data inside of Adobe Analytics.
We have Adobe Analytics javascript on our website collecting data and we use a third party tool to track how users interact with certain parts of the website. We’re trying to use the Adobe API to tie the data together.
So far we’ve gone down the path of using the Data Insertion API, but it wasn’t quite right as it’s meant to be used as a replacement for the JS, from what I can tell.
We also explored using the Data Sources API. Now the documentation for this suggests you can use a transaction ID to tie offline data with the data collected from the JS, we’ve tried this and it doesn’t match the data up. We’re now exploring using Visitor ID to tie the sessions together but we’re having problems uploading any rows with the Visitor ID column, Adobe just returns the error “Column header: ‘visitorid’ is not a valid column header”. We’ve tried several different variations of visitor id, such as “visitor_id”, “visitor-id”, “vistor id”, etc and still no luck.
The end goal is for us to be able to upload data to Adobe that will update/add eVars for already existing sessions earlier that day. How would I go about doing this? Is there something I'm missing or doing wrong?
Edit: I managed to solve this problem by using the Adobe SAINT API. When a user arrives at the site, we push an eVar for that user with a unique ID and then the day after we use the SAINT API and the unique ID in the eVar we pushed previously to add the additional data we needed.
It could be a good idea to look back at the Data Insertion API and combine it with the visitorId approach where you tie existing/old visitorID's to new eVars and use the timestamp to "update" the dataset.
Although this is experimental, it might be worth a try.
Best regards,
I'm designing a new app for iPad for a small company. This app will use Core Data to store a local database and a database of products and prices. The last database needs to be always up to date since the prices can change.
This company, has a Excel file to keep this database of prices. So they don't have a SQL db to which I can interact from my app.
One option could be to export the Excel file in CVS and put that file in their server (accessible by internet). Then my app should parse the file.
I don't like very much this idea, though.
Do you have any suggestion?
I had a very similar problem to you. I recently got into a project where the client wanted to import information from an Excel file into an app. I know a lot of people say, just transform it into a CSV and parse it that way, but I really didn't want the client to go through yet another step and introduce a different file format - as simple as that may be.
I also really don't like having the information in the cloud, especially Google. Privacy is something that's important to most companies and I'd doubt they'd approve of you using Google to parse the info.
In order to parse the file, I created QZXLSReader. It's a drag-and-drop solution so it's a lot easier to use. I don't think it's as feature complete, but it worked for me.
It's basically a library that can open XLS files and parse them into Obj-C classes. Once you have the classes, it's very easy to send them to Core Data or a dictionary or what have you.
I hope it helps!
Here are a couple of options for you:
Use Google Doc as the intermediary. When the pricing Excel is updated by someone, simply upload the updated Excel to Google Docs. From your iPad app, you can read the latest data via the Goole API. If the company is up for it, they can move to Google Doc altogether and just modify the online Google Spreadsheet directly.
Use services like StackMob as the intermediary. You will have to write a tool to sync the pricing Excel with SrackMob but you can easily access the data via StackMob's iOS SDK.