m2m | Transform a Medium post into a Markdown file | Scraper library
kandi X-RAY | m2m Summary
kandi X-RAY | m2m Summary
A project to transform a Medium post into a Markdown file.
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Top functions reviewed by kandi - BETA
- Return markdown content as markdown .
- Parse text .
- Generate markdown file .
- Parse div element .
- Build the code block .
- Return markdown ordered list .
- Returns the URL of the GitHub gist .
- Get gist file .
- Return the content of the medium post .
- Initialize the tag .
m2m Key Features
m2m Examples and Code Snippets
Community Discussions
Trending Discussions on m2m
QUESTION
I do have the following Issue - I want to display all of the bundles with their component relations in a template:
Here is my ORM-Model:
...ANSWER
Answered 2022-Apr-15 at 05:58There is no problem with your prefetch_related, but the way you want to access these objects, you should do bundles[0].components.all()
because objects fetched with reverse relation can be accessed same way as M2M fields
QUESTION
I've used batch Beam but am new to the streaming interface. I'm wondering about the appropriateness of using Apache Flink / Beam kind of like an in-memory database -- I'd like to constantly recompute and materialize one specific view of my data based on edge triggered updates.
More details: I have a few tables in a (normal) database, ranging from thousands to millions of rows, and each one has a many-to-many (M2M) relationship with other ones. Picture to explain:
...ANSWER
Answered 2022-Mar-28 at 07:35I don't know enough about Beam to answer that part of the question, but you can certainly use Flink in the way you've described. The simplest way to accomplish this with Flink is with a streaming join, using the SQL/Table API. The runtime will materialize both tables into managed Flink state, and produce new and/or updated results as new and updated records are processed from the input tables. This is a commonly used pattern.
As for initially bootstrapping the state, before continuing to ingest the updates, I suggest using a CDC-based approach. You might start by looking at https://github.com/ververica/flink-cdc-connectors.
QUESTION
I have two models, a user model and a sport model. These two models have a m2m relationship as a user can do multiple sports and a sport can be played by more than one user. I want to get a query set of a user's sports, so only the sports a specific user does shows up for that user.
I have created a context_processors.py file so that the information is available on all pages of the site. The problem is that I don't know how to query the database to get this information.
These are my models:
...ANSWER
Answered 2022-Mar-08 at 10:05sports = request.user.sports.all()
QUESTION
I'm creating a CRUD factory. Basically all my entites will inherit from a BaseEntity with id
as a primary key
I'm trying to understand how to create a cross ref table for a M2M relationship.
Here is a simplifyied example, without inheritance. ArticlesEntity
have many MagasinsEntity
and MagasinsEntity
many ArticlesEntity
. The Entity ArticlesMagasinsCrossRef
is the junction
But both ArticlesEntity and MagasinsEntity have id
as the primaryKey.
ANSWER
Answered 2022-Feb-26 at 21:18You need to use the Junction's parentColumn and entityColumn parameters e.g.
QUESTION
i have a Many-to-Many Relationship between two classes object, i need get queryset filtered by a Many-To-Many extra field
that are my 3 classes
...ANSWER
Answered 2022-Jan-08 at 21:47You can filter with:
QUESTION
first of all, I'm not a native at ENG so plz be patient my ENG skills or give me some advice.
(FYI, Django ver 3.2.9 & DRF ver 3.12.4 with postgres ver 12.7)
I'm writing API creating a post by using drf serializer. And I've been facing a problem with "the order of tags adding to the post".
- post and tag models are connected through M2M field
which means, let's say I add tags a, b, and c on a post. The logic I use as follows.
...ANSWER
Answered 2021-Dec-27 at 07:29You can add another column to Tag class namely priority and whenever you insert rows add the priority of the value.
You can then order by priority something like this:
QUESTION
I have two models Author
and Book
which are related via m2m (one author can have many books, one book can have many authors)
Often we need to query and match records for ingests using text strings, across both models ie: "JRR Tolkien - Return of the King" when unique identifiers are not available.
I would like to test if using SearchVectorField
with GIN indexes
can improve full-text search response times - but since the search query will be SearchVector(author__name, book__title)
It seems that both models need a SearchVectorField added.
This becomes more complicated when each table needs updating since it appears Postgres Triggers need to be set up on both tables, which might make updating anything completely untenable.
QuestionWhat is the modern best practice in Django for adopting vectorised full-text search methods when m2m related models are concerned? Should the SearchVectorField
be placed through a table? Or in each model? How should triggers be applied?
I've been searching for guides on this specifically - but no one seems to mention m2ms when talking about SearchVectorFields. I did find this old question
Also, if Postgres is really not the way forward in modern Django I'd also gladly take direction in something better suited/supported/documented. In our case, we are using Postgres 11.6.
Repro ...ANSWER
Answered 2021-Dec-26 at 23:15Finally got it. I suppose you need to search by query containing the author and the book's name at the same time. And you wouldn't be able to separate them to look at Book
table for "book" part of the query and the same for Author
.
Yep, making an index of fields from separate tables is impossible with PostgreSQL. I don't see it as a weakness of PostgreSQL, it's just a very unusual case when you really need such an index. In most cases, there are other solutions, not worse as for efficiency. Of course, you can always look at ElasticSearch
if for some reason you are sure that it's necessary.
I'll advise you of such an approach. You can make BookMainAuthor
with this structure:
QUESTION
I have two tables bound by a M2M relationship. Books and Writers, writers can have many books and books can have many writers.
I want to have a count
property on both books and writers so I could sort them by, for example, the writer who wrote the most books.
ANSWER
Answered 2021-Dec-26 at 15:52You can customize idea from here to M2M case. For this you should mention association_table
in hybrid_property
instead of Book
table. So, you eliminate join with Book
table and simplify your case to One-to-Many relation.
I came up with this solution.
QUESTION
I have tbl_books
which has m2m with tbl_author
. I want to save a book and its authors. I'm able to save the book if I don't include a list of authors but how am I suppose to save the authors to the book? Do I need to create the tbl_book_authors table in order to achieve this?
ANSWER
Answered 2021-Nov-28 at 04:32You didn't not autoincrement primary key in Book
entity and you insert nothing in JSON OBJECT
for id
so it insert 0
value automatically if you not insert any id in id
column because you pass nullable = false
.
Put @GeneratedValue(strategy = GenerationType.IDENTITY)
for autoincrement primary key.
QUESTION
I'm working in a Project where there were multiple fields created as M2M using the through
related model, however they were wrongly created by then and the related models have no additional fields, so I would like to use a regular M2M managed by Django.
The existing models I have are:
...ANSWER
Answered 2021-Nov-13 at 18:12To do this you need to create a migration file that copies the data from the old through table to the new one.
First create an empty migration file that will be populated with our migration operations
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You can use m2m 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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