Exact Online API: deleting and updating items like BankEntryLines - python

We are building an exensive api-link with the Exact online odata API. Problem we are having is that many objects cant be updated or deleted. For instance BankEntryLines, GeneralJournalEntryLines.
We have now worked around this by creating new EntryLines upon each update or delete, but this creates much unclarity in some cases.
Can the API be changed, or can I get extra authorization to be able to update or delete these objects, just like is possible in the GUI?

As the Exact Online REST API doesn't support modifying on quite some objects, there is no way to achieve what you want using the REST API. If the Exact Online XML API doesn't support updating either, there is only one solution left.
That solution is forbidden by Exact, and it could risk you lose you application developer status. You can make those changes using HTTP POSTS on the web site itself. If you can extract the calls that are made through the screens, you can mimic their behavior and by replaying that, you can modify what you need.
If you want to make a coupling to Exact Online and you are starting with developing, I want to suggest you to take a look at Invantive Data Hub, which allows updating Exact Online using SQL syntax. (To give full disclosure: I work for that company)

Related

Is it possible to load a Google Ads custom report via API into production DB

Looking through the API documentation it seems that there's currently no way to access a custom report via the API. If this is, in fact, the case, is there a workaround to make this possible?
The goal is to get a modified version of this report shown on the web interface:
No, you need to build the report yourself and call it with the API unfortunately.
Depending on how complex the report is, it can be done pretty quickly. You can quickly generate the GAQL needed for your APU query using this tool: https://developers.google.com/google-ads/api/fields/v7/overview_query_builder
This will save you typing out all the resources manually, and will even validate it for you.
If you're stuck, let us know what report you're trying to generate and we can help with the GAQL.

Changing existing pages in Agilo/Trac via plugin

Is it possible to make changes to an existing page in Trac via a plugin?
(I am not talking about the wiki, but the ticket system).
I am trying to make a plugin that uses the View Tickets -> Custom Query view and gets the tickets from the resulting table of tickets. The goal is to use these tickets to modify them via a predefined python script, and then optionally print them.
Is this possible via the trac api or would one have to make a whole new page and write that whole query functionality from scratch to get the tickets from the database?
I feel that this is not very clearly documented by Trac, so I hope there are some people with experience in plugin development for trac and/or agilo for trac.
The first thing that comes to mind is that ITicketManipulator is not called in batch modify events. You might be able to implement a solution using IRequestFilter. I'd need more information about how you plan to modify the tickets in order to give better advice.

Couchdb/Mongodb Application/Logic layer, like Oracle DB

At my work, we use Oracle for our database. Which works great. I am not the main db admin, but I do work with it. One thing I like is that the DB has a built in logic layer using PL/SQL which ca handle logic related to saving the data and retrieve it. I really like this because it allows our MVC application (PHP/Zend Framework) to be lighter, and makes it easier to tie in another platform into the data, such as desktop or mobile.
Although, I have a personal project where I want to use couchdb or mongodb, and I want to try and accomplish a similar goal. outside of the mvc/framework, I want to have an API layer that the main applications talk to. they dont actually talk directly to the database. They specify the design document (couchdb) or something similar for mongo, to get the results. And that API layer will validate the incoming data and make sure that data itself is saved and updated properly. Such as saving a new user, in the framework I only need to send a json obejct with the keys/values that need to be saved and the api layer saves the data in the proper places where needed.
This API would probably have a UI, but only for administrative purposes and to make my life easier. In general it will always reply with json strings, or pre-rendered/cached html in some cases. Since each api layer would be specific to the application anyways.
I was wondering if anyone has done anything like this, or had any tips on nethods I could accomplish this. I am currently looking to write my application in python, and the front end will likely be something like Angularjs. Although I am also looking at node.js for a back end.
We do this exact thing at my current job. We have MongoDB on the back end, a RESTful API on top of it and then PHP/Zend on the front end.
Most of our data is read only, so we import that data into MongoDB and then the RESTful API (in Java) just serves it up.
Some things to think about with this approach:
Write generic sorting/paging logic in your API. You'll need this for lists of data. The user can pass in things like http://yourapi.com/entity/1?pageSize=10&page=3.
Make sure to create appropriate indexes in Mongo to match what people will query on. Imagine you are storing users. Make an index in Mongo on the user id field, or just use the _id field that is already indexed in all your calls.
Make sure to include all relevant data in a given document. Mongo doesn't do joins like you're used to in Oracle. Just keep in mind modeling data is very different with a document database.
You seem to want to write a layer (the middle tier API) that is database agnostic. That's a good goal. Just be careful not to let Mongo specific terminology creep into your exposed API. Mongo has specific operators/concepts that you'll need to mask with more generic terms. For example, they have a $set operator. Don't expose that directly.
Finally after having a decent amount of experience with CouchDB and Mongo, I'd definitely go with Mongo.

Django Admin using RESTful API v.s. Database

This is a bit of a strange question, I know, but bear with me. We've developed a RESTful platform using Python for one of our iPhone apps. The webapp version has been built using Django, which makes use of this API as well. We were thinking it would be a great idea to use Django's built-in control panel capabilities to help manage the data.
This itself isn't the issue. The problem is that everyone has decided it would be best of the admin center was essentially a client that sits on top of the RESTful platform.
So, my question is, is there a way to manipulate the model layer of Django to access our API directly, rather than communicated directly with the database? The model layer would act as the client passing requests and responses to and from the admin center.
I'm sure this is possible, but I'm not so sure as to where I would start. Any input?
I remember I once thought about doing such thing. At the time, I created a custom Manager using a custom QuerySet. And I overrode some methods such as _filter_or_exclude(), count(), exists(), select_related(), ... and added some properties. It took less than a week to become a total mess that had probably no chance to work one day. So I immediately stopped everything and found a more suitable solution.
If I had to do it once again, I would take a long time to consider alternatives. And if it really sounds like the best thing to do, I'd probably create a custom database backend. This backend would, rather than converting Django ORM queries to SQL queries, convert them to HTTP requests.
To do so, I think the best starting point would be to get familiar with django source code concerning database backends.
I also think there are some important things to consider before starting such development:
Is the API able to handle any Django ORM request? Put another way: Will any Django ORM query be translatable to an API request?
If not, may "untranslatable" queries be safely ignored? For instance, an ORDER BY clause might be safe to ignore. While a GROUP BY clause is very unlikely to be safely dismissed.
If some queries can't be neither translated nor ignored, may them be reasonably emulated. For instance, if your API does not support a COUNT() operation, you could emulate it by getting the whole data and count it in python with len(), but is this reasonable?
If they are still some queries that you won't be able to handle (which is more than likely): Are all "common" queries (in this case, all queries potentially used by Django Admin) covered and will it be possible to upgrade the API if an uncovered case is discovered lately or is introduced in a future version of Django?
According to the use case, there are probably tons of other considerations to take, such as:
the integrity of the data
support of transactions
the timing of a query which will be probably much higher than just querying a local (or even remote) database.

How to implement Google Suggest in your own web application (e.g. using Python)

In my website, users have the possibility to store links.
During typing the internet address into the designated field I would like to display a suggest/autocomplete box similar to Google Suggest or the Chrome Omnibar.
Example:
User is typing as URL:
http://www.sta
Suggestions which would be displayed:
http://www.staples.com
http://www.starbucks.com
http://www.stackoverflow.com
How can I achieve this while not reinventing the wheel? :)
You could try with
http://google.com/complete/search?output=toolbar&q=keyword
and then parse the xml result.
I did this once before in a Django server. There's two parts - client-side and server-side.
Client side you will have to send out XmlHttpRequests to the server as the user is typing, and then when the information comes back, display it. This part will require a decent amount of javascript, including some tricky parts like callbacks and keypress handlers.
Server side you will have to handle the XmlHttpRequests which will be something that contains what the user has typed so far. Like a url of
www.yoursite.com/suggest?typed=www.sta
and then respond with the suggestions encoded in some way. (I'd recommend JSON-encoding the suggestions.) You also have to actually get the suggestions from your database, this could be just a simple SQL call or something else depending on your framework.
But the server-side part is pretty simple. The client-side part is trickier, I think. I found this article helpful
He's writing things in php, but the client side work is pretty much the same. In particular you might find his CSS helpful.
Yahoo has a good autocomplete control.
They have a sample here..
Obviously this does nothing to help you out in getting the data - but it looks like you have your own source and arent actually looking to get data from Google.
If you want the auto-complete to use date from your own database, you'll need to do the search yourself and update the suggestions using AJAX as users type. For the search part, you might want to look at Lucene.
That control is often called a word wheel. MSDN has a recent walkthrough on writing one with LINQ. There are two critical aspects: deferred execution and lazy evaluation. The article has source code too.

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