user permissions and own admin panel

So I'm learning Django for an inventory management web app I'm building.

Basically, I want users to be able to track their inventory, adding to it and deleting etc...but obviously **only their** items. I don't want to expose them to the *project's* Admin app though.

So how would I go about doing this? Do I *need* something like django-guardian? And how can I utilize all the batteries inside the admin app *without* sharing the *project's* admin app with them?

Each sign up user (owner) can add other users (employees) through their admin panel, with whom they will share it afterwards. Obviously those invited users will have less permissions: they can add items, but not invite other users to the owner's panel. And all users will have less permission than the admin (me).

Any pointers are very much appreciated!

/r/djangolearning
https://redd.it/69koz4

Returning two lists

I have two classes (Series & Episode) in my models.py

Code:

class Series(models.Model):
genre = models.CharField(max_length=100)
year = models.CharField(max_length=4)
logo = models.FileField()
show_title = models.CharField(max_length=200)

def __str__(self):
return self.show_title + ' - ' + self.year

class Episode(models.Model):
series = models.ForeignKey(Series, on_delete=models.CASCADE)
episode_title = models.CharField(max_length=200)
episode_num = models.CharField(max_length=3)
season = models.CharField(max_length=3)

My function detail in views.py:

def detail(request, show_title, episode_title):
series = get_object_or_404(Series, id=show_title)
episode = get_object_or_404(Episode, id=episode_title)
return render(request, 'shows/detail.html', {'series':series,'episode':episode})

Everything works if I get rid of:

- episode = get_object_or_404(Episode, id=episode_title)
- 'episode':episode
- and remove the parameter 'episode)title

But I want to access the variables that are in Episode, and print those variables in my table. I currently only have access to Series.

Html:

<table>
<tr class = "table-header">
<td>Episode</td>
<td>Episode Title</td>
<td>Genre</td>
<td>Year</td>
</tr>
<tr>
<td>S3E14</td>
<td>{{ episode.episode_title }}</td>
<td>{{ series.genre }}</td>
<td>{{ series.year }}</td>
</tr>
</table>


Error code:

TypeError: detail() missing 1 required positional argument: 'episode_title'

I am not understanding this error code. How am I able to get this code working?

/r/djangolearning
https://redd.it/6a3q0w

How to profile Django views
https://rock-it.pl/how-to-profile-django-views/

/r/django
https://redd.it/6a3vq7

Pandas 0.20 released
http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#v0-20-1-may-5-2017

/r/Python
https://redd.it/6a19cl

django-cruds-adminlte 0.0.4 is out
https://pypi.python.org/pypi/django-cruds-adminlte

/r/django
https://redd.it/6a4nos

What's everyone working on this week?

Tell /r/python what you're working on this week! You can be bragging, grousing, sharing your passion, or explaining your pain. Talk about your current project or your pet project; whatever you want to share.


/r/Python
https://redd.it/6a5m37

Hiring | Simons Foundation | Full Stack Software Engineer | Onsite/Full time | New York City, NY

Simons Foundation is looking for a passionate Full Stack Software Engineer!

Simons Foundation exists to support basic - or discovery-driven - scientific research. We do this through direct grants in four areas: Mathematics and Physical Sciences, Life Sciences, Autism Research (SFARI), and Education & Outreach. This is only a quick blurb of what we do! If you want to find out more, please visit www.simonsfoundation.org. I'm certain you'll be interested!

This role specifically is for my team. We're a small (9) team of passionate engineers. You'll be joining a yet young project creating Software critical to Simons Foundation's mission.

What we're looking for: Passion (aka desire/enthusiasm, not any sort of JS library), Design Patterns, Python, Django, React, Single Page App experience, webpack, APIs.

If you're interested, please either reach out to me (the hiring manager) @ sford@simonsfoundation.org, or apply directly below.

https://simonsfoundation.wd1.myworkdayjobs.com/en-US/simonsfoundationcareers/job/160-Fifth-Avenue/Software-Engineer_R0000050.

/r/django
https://redd.it/6a52js

Zero to hero with Python
https://www.youtube.com/watch?v=zh9NgGf3cxU&index=15&list=PL1Z_7yg6Pa3CURAEFLwzXRYrhGcQskRhY

/r/Python
https://redd.it/6a3jrj

nbmerge: merge / concatenate Jupyter notebooks
https://github.com/jbn/nbmerge

/r/IPython
https://redd.it/6a5ele

4 Python libraries for building great command-line user interfaces
https://opensource.com/article/17/5/4-practical-python-libraries

/r/Python
https://redd.it/6a67l7

Hey Python/pandas users. Check this out. I've used this as part of my day-to-day workflow since it was released a couple months ago and I'm hooked. It's a better way to store, retrieve, and explore my data in a way that's seamlessly integrated with my preferred analysis environment (Python).


https://data.world/nrippner/explore-the-data-world-python-sdk/file/ddw_SDK.ipynb
or, to look at notebook without data.world account:
https://github.com/nrippner/misc/blob/master/ddw_SDK.ipynb

/r/pystats
https://redd.it/6a7rnd

Requests per second with database query

I am trying to get a sense of performance based on my set up because I feel like I am way under performing.

I have a flask container on AWS ECS with 1024Cpu Units and 2GB of memory.

The containerized app uses uwsgi and nginx.

The query I am running is a sql-alchemy pagianted query with a page size of 20. Running this same query from SequelPro takes 109ms. This is against a remote Aurora RDS.

However when load testing this endpoint (with 2 containers under an ELB) the requests per second is hardly double digits. Is this just a symptom of having a remote db and small hardware profile on the container?

/r/flask
https://redd.it/6a79u3

[D] Machine Learning - WAYR (What Are You Reading) - Week 25

This is a place to share machine learning research papers, journals, and articles that you're reading this week. If it relates to what you're researching, by all means elaborate and give us your insight, otherwise it could just be an interesting paper you've read.

Please try to provide some insight from your understanding and please don't post things which are present in wiki.

Preferably you should link the arxiv page (not the PDF, you can easily access the PDF from the summary page but not the other way around) or any other pertinent links.

Previous weeks :

|1-10|11-20|21-30|
|----|-----|-----|
|[Week 1](https://www.reddit.com/r/MachineLearning/comments/4qyjiq/machine_learning_wayr_what_are_you_reading_week_1/)|[Week 11](https://www.reddit.com/r/MachineLearning/comments/57xw56/discussion_machine_learning_wayr_what_are_you/)|[Week 21](https://www.reddit.com/r/MachineLearning/comments/60ildf/d_machine_learning_wayr_what_are_you_reading_week/)|
|[Week 2](https://www.reddit.com/r/MachineLearning/comments/4s2xqm/machine_learning_wayr_what_are_you_reading_week_2/)|[Week 12](https://www.reddit.com/r/MachineLearning/comments/5acb1t/d_machine_learning_wayr_what_are_you_reading_week/)|[Week 22](https://www.reddit.com/r/MachineLearning/comments/64jwde/d_machine_learning_wayr_what_are_you_reading_week/)||
|[Week 3](https://www.reddit.com/r/MachineLearning/comments/4t7mqm/machine_learning_wayr_what_are_you_reading_week_3/)|[Week 13](https://www.reddit.com/r/MachineLearning/comments/5cwfb6/d_machine_learning_wayr_what_are_you_reading_week/)|[Week 23](https://www.reddit.com/r/MachineLearning/comments/674331/d_machine_learning_wayr_what_are_you_reading_week/)||
|[Week 4](https://www.reddit.com/r/MachineLearning/comments/4ub2kw/machine_learning_wayr_what_are_you_reading_week_4/)|[Week 14](https://www.reddit.com/r/MachineLearning/comments/5fc5mh/d_machine_learning_wayr_what_are_you_reading_week/)|[Week 24](https://www.reddit.com/r/MachineLearning/comments/68hhhb/d_machine_learning_wayr_what_are_you_reading_week/)||
|[Week 5](https://www.reddit.com/r/MachineLearning/comments/4xomf7/machine_learning_wayr_what_are_you_reading_week_5/)|[Week 15](https://www.reddit.com/r/MachineLearning/comments/5hy4ur/d_machine_learning_wayr_what_are_you_reading_week/)||
|[Week 6](https://www.reddit.com/r/MachineLearning/comments/4zcyvk/machine_learning_wayr_what_are_you_reading_week_6/)|[Week 16](https://www.reddit.com/r/MachineLearning/comments/5kd6vd/d_machine_learning_wayr_what_are_you_reading_week/)||
|[Week 7](https://www.reddit.com/r/MachineLearning/comments/52t6mo/machine_learning_wayr_what_are_you_reading_week_7/)|[Week 17](https://www.reddit.com/r/MachineLearning/comments/5ob7dx/discussion_machine_learning_wayr_what_are_you/)||
|[Week 8](https://www.reddit.com/r/MachineLearning/comments/53heol/machine_learning_wayr_what_are_you_reading_week_8/)|[Week 18](https://www.reddit.com/r/MachineLearning/comments/5r14yd/discussion_machine_learning_wayr_what_are_you/)||
|[Week 9](https://www.reddit.com/r/MachineLearning/comments/54kvsu/machine_learning_wayr_what_are_you_reading_week_9/)|[Week 19](https://www.reddit.com/r/MachineLearning/comments/5tt9cz/discussion_machine_learning_wayr_what_are_you/)||
|[Week 10](https://www.reddit.com/r/MachineLearning/comments/56s2oa/discussion_machine_learning_wayr_what_are_you/)|[Week 20](https://www.reddit.com/r/MachineLearning/comments/5wh2wb/d_machine_learning_wayr_what_are_you_reading_week/)||

Most upvoted papers two weeks ago:

/u/whenmaster: https://arxiv.org/abs/1701.07875v2

/u/nicrob355982: https://arxiv.org/abs/1507.04808

Besides that, there are no rules, have fun.

Hey, seems there was a little hiccup where last week's WAYR post wasn't stickied, so I'm going to change the bot to post every other week.

/r/MachineLearning
https://redd.it/69teiz

Looking for resources for deserializing JSON into multiple models

I'm very new to both python and Django and am having difficulty finding the right documentation to work through my current problem.

I am trying to take JSON from a url and commit it to a database. For the example below I would like to commit "name", "type", and "level" to a model called Items and all of the details to a model called ItemDetails.

[
{
"name": "Abomination Hammer",
"type": "Weapon",
"level": 0,
"rarity": "Fine",
"vendor_value": 0,
"default_skin": 5014,
"game_types": [
"Activity",
"Wvw",
"Dungeon",
"Pve"
],
"flags": [
"NoSell",
"SoulbindOnAcquire",
"SoulBindOnUse"
],
"restrictions": [],
"id": 15,
"chat_link": "[&AgEPAAAA]",
"details": {
"type": "Hammer",
"damage_type": "Physical",
"min_power": 146,
"max_power": 165,
"defense": 0,
"infusion_slots": [],
"infix_upgrade": {
"id": 112,
"attributes": []
},
"secondary_suffix_item_id": ""
}
}
]

So far the only way I've found to do it is to load the JSON from the url

def jsonload(url):
response = urllib.request.urlopen(url).read()
jsonstring = str(response, 'utf-8')
json_load = json.loads(jsonstring)
return json_load

Then loop through each item (like the one shown above) and save the fields I want to use.

i = Items(id=data.get('id'),
name=data.get('name'),
type=data.get('type'),
level=data.get('level'),
)
i.save()

From what I've been able to gather it seems like this is better suited for a deserializer, but I can't find anything about deserializing JSON from a url into multiple model classes.

/r/django
https://redd.it/6a7mq5

PyTree: Creating and drawing realistic trees!
https://github.com/PixelwarStudio/PyTree

/r/Python
https://redd.it/6a83dn

Pandas 0.20.1 Released
http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#v0-20-1-may-5-2017

/r/IPython
https://redd.it/6a70mn

Using DjangoQL with default search bar

There's a neat library called [DjangoQL](https://github.com/ivelum/djangoql) which I want to incorporate into my project. It replaces the standard search_fields search bar in the Admin with a very powerful query system.

However, I want my user to be able to use the normal search_fields most of the time, and only use the DjangoQL bar on occasion when the query functionality is really needed.

Is there some way that I could have there be two search bars, one DjangoQL and one search_fields? Or even better, to have an "advanced search" button which toggles/pulls up/etc the DjangoQL search bar?

Thanks so much!

/r/django
https://redd.it/6a9w07

Populate form field from ModelChoiceField with previously selected value

I'm trying to let my users edit a form they have previously created. All my form fields are being populated with their existing values with one exception. I have a ModelChoiceField that I'm unable to populate, it always shows the none value ("Select Client"). So my question is, how to I get this field populated when editing a form?

https://pastebin.com/3ACrHYpW

/r/django
https://redd.it/6a9ggq

An informal proof of Kleene's and Rice's theorems using Python
https://github.com/mapio/feeding-rice-to-the-snake

/r/JupyterNotebooks
https://redd.it/6a5ds4

Deployment best practices for secret key, environment variables, etc

I just spent days - DAYS - on my first real AWS EC2 deployment, all because I was setting environment variables on the production server and apparently that doesn't work. I finally figured it out and was able to deploy with my key and passwords hard-coded into my settings.py on the production server which, I assume, is not something I should be doing? But then Django docs say to use env vars or to import from a file, but that sounds just as insecure as hard coding it into settings.py, so maybe I'm overthinking this.

What the standard practice in production? Where do you put the secret key and, say, the email server password? When I search for environment variables + AWS EC2 there's a whole bunch of results I don't understand involving startup scripts and whatnot, which I'm not using at this point.

/r/djangolearning
https://redd.it/6a7wfy