Develop Reference

Folium - Django: How to make a folium marker a link to another page

I'm generating a map using Folium with Django like so:
views.py:
def viz(request):
dg_map= folium.Map(location=[50.38175,6.2787],
tiles= 'https://tiles.stadiamaps.com/tiles/alidade_smooth/{z}/{x}/{y}{r}.png?api_key=<MY_API_KEY>',
attr= '© Stadia Maps, © OpenMapTiles © OpenStreetMap contributors',
zoom_start=10)
map_details = fetch_data("SELECT id, firstname, lat, long FROM map_details") #helper func to query the DB
for item in map_details:
location = [item[2], item[3]]
popup = f"{item[1]}'s Garden"
marker = folium.Marker(
location = location,
popup = popup,
icon=folium.Icon(color='darkgreen', icon="heart", prefix='fa'))
marker.add_to(dg_map);
m = dg_map._repr_html_()
context = {'map': m}
return render(request, 'accounts/viz.html', context)
This is working as expected.
However, I'd like each marker to redirect towards another page on-click. To make matters worse, I'd need to use the id that's queried in the SELECT statement and include it in the destination link, because the urlpattern of the destination pages is this:
urls.py:
path('garden/<str:id>/', views.garden, name="garden").
What I found out so far:
I found several suggestions on how to add an href to the pop-up (e.g. here) but this is not what I want as it requires the user to click twice.
Some ideas on how to add custom js to Folium's output are mentioned here, but I think it's not implemented yet.
I also found instructions on how this can be done in Leaflet. It seems pretty straight forward, but I'd like to stick with Python/Folium code and keep the logic in my views.py rather than starting js scripting.
Any idea how this can be achieved? Thanks a lot!

Create activities for an user with Stream-Framework

I'm trying to setup stream-framework the one here not the newer getstream. I've setup the Redis server and the environment properly, the issue I'm facing is in creating the activities for a user.
I've been trying to create activities, following the documentation to add an activity but it gives me an error message as follows:
...
File "/Users/.../stream_framework/activity.py", line 110, in serialization_id
if self.object_id >= 10 ** 10 or self.verb.id >= 10 ** 3:
AttributeError: 'int' object has no attribute 'id'
Here is the code
from stream_framework.activity import Activity
from stream_framework.feeds.redis import RedisFeed
class PinFeed(RedisFeed):
key_format = 'feed:normal:%(user_id)s'
class UserPinFeed(PinFeed):
key_format = 'feed:user:%(user_id)s'
feed = UserPinFeed(13)
print(feed)
activity = Activity(
actor=13, # Thierry's user id
verb=1, # The id associated with the Pin verb
object=1, # The id of the newly created Pin object
)
feed.add(activity) # Error at this line
I think there is something missing in the documentation or maybe I'm doing something wrong. I'll be very grateful if anyone helps me get the stream framework working properly.

The documentation is inconsistent. The verb you pass to the activity should be (an instance of?*) a subclass of stream_framework.verbs.base.Verb. Check out this documentation page on custom verbs and the tests for this class.
The following should fix the error you posted:
from stream_framework.activity import Activity
from stream_framework.feeds.redis import RedisFeed
from stream_framework.verbs import register
from stream_framework.verbs.base import Verb
class PinFeed(RedisFeed):
key_format = 'feed:normal:%(user_id)s'
class UserPinFeed(PinFeed):
key_format = 'feed:user:%(user_id)s'
class Pin(Verb):
id = 5
infinitive = 'pin'
past_tense = 'pinned'
register(Pin)
feed = UserPinFeed(13)
activity = Activity(
actor=13,
verb=Pin,
object=1,
)
feed.add(activity)
I quickly looked over the code for Activity and it looks like passing ints for actor and object should work. However, it is possible that these parameters are also outdated in the documentation.
* The tests pass in classes as verb. However, the Verb base class has the methods serialize and __str__ that can only be meaningfully invoked if you have an object of this class. So I'm still unsure which is required here. It seems like in the current state, the framework never calls these methods, so classes still work, but I feel like the author originally intended to pass instances.

With the help of great answer by #He3lixxx, I was able to solve it partially. As the package is no more maintained, the package installs the latest Redis client for python which was creating too many issues so by installation redis-2.10.5 if using stream-framework-1.3.7, should fix the issue.
I would also like to add a complete guide to properly add activity to a user feed.
Key points:
If you are not using feed manager, then make sure to first insert the activity before you add it to the user with feed.insert_activity(activity) method.
In case of getting feeds with feed[:] throws an error something like below:
File "/Users/.../stream_framework/activity.py", line 44, in get_hydrated
activity = activities[int(self.serialization_id)]
KeyError: 16223026351730000000001005L
then you need to clear data for that user using the key format for it in my case the key is feed:user:13 for user 13, delete it with DEL feed:user:13, In case if that doesn't fix the issue then you can FLUSHALL which will delete everything from Redis.
Sample code:
from stream_framework.activity import Activity
from stream_framework.feeds.redis import RedisFeed
from stream_framework.verbs import register
from stream_framework.verbs.base import Verb
class PinFeed(RedisFeed):
key_format = 'feed:normal:%(user_id)s'
class UserPinFeed(PinFeed):
key_format = 'feed:user:%(user_id)s'
class Pin(Verb):
id = 5
infinitive = 'pin'
past_tense = 'pinned'
register(Pin)
feed = UserPinFeed(13)
print(feed[:])
activity = Activity(
actor=13,
verb=Pin,
object=1)
feed.insert_activity(activity)
activity_id = feed.add(activity)
print(activity_id)
print(feed[:])

Run pythod code with Django and produce output on web

I know this could be a repeated question for many of you but I have not been able to find a proper answer for this yet. I am a beginner to Django and Python. I have a python code which runs and produce output on cli at present but I want the same program to run its output on web.
I read that for web django is best suitable framework and for this purpose I started to study django. I see in every tutorial people have discussed apps, views urls etc but not seen an example which integrate a python code with django.
All I am looking for to understand how can I integrate my python script with Django and where do I place my code in Django project or app. Should I import it within views? if yes, then how to present my output to web.
Here is the sample code I am running, it basically opens two files and run some regex to extract the desired information.
import re
def vipPoolFileOpen(): # function opens vip and pool config file and store them to vip_config and pool_config variables
with open("pool_config.txt",'rb') as pool_config:
pool_config = pool_config.read()
pool_config = pool_config.split('ltm')
with open("vip_config.txt",'rb') as vip_config:
vip_config = vip_config.read()
vip_config = vip_config.split('ltm')
return vip_config,pool_config
def findWidth(vip_config): # function to find the maximum length of vip in entire file, this will be used to adjust column space
colWidth=0
for item in vip_config:
i=0
if colWidth<len(item):
while i<len(vip_config)-1:
if len(item)>=len(vip_config[i+1]):
colWidth=len(item)
i=i+1
else:
i+=1
continue
return colWidth
def regexFunction():
vip_config, pool_config = vipPoolFileOpen()
findWidth(vip_config)
for vip in vip_config:
regVip = re.compile(r'pool (.+)\r')
poolByVip = regVip.findall(vip) # poolByVip holds pool name from the vip_config file
for poolblock in pool_config:
regPool = re.compile(r'pool (.+) {')
poolByConfig = regPool.findall(poolblock)
if poolByVip == poolByConfig:
print vip + poolblock
break
elif poolByVip == ['none']:
print vip
break
else:
continue

Yes, you should present your output to the web via view. You need to write a view function (or a class view) in views.py and provide an url where you want to have it in urls.py
If you rewrite your function to return desired result instead of printing it, tou can do the following:
write this in views.py
from django.http import HttpResponse
from wherever_you_have_it import regexFunction
def bar(request):
result = regexFunction() # result should be a string
return HttpResponse(result)
and in urls.py:
from .views import bar
urlpatterns = [
url(r'^foo$', bar),
]
Providing of course you have created your Django app at the first place.
Your result should be displayed as plain text on address localhost:8000/foo - but you need to:
python menage.py runserver
In your terminal first
And of course feel free to look at:
https://github.com/Ergaro/CheckMyChords
to see how a simple django app looks like

Pulling data from MySQL to display on dashboard using python django-dashing

I was trying to implement a dashboard by following the instructions of https://github.com/talpor/django-dashing/ using django-dashing.
So far I have successfully customised my widget and displayed with some random data on my own web server, while I have no clue where to start if I'd like to pull some real data from DB(MySQL) and display. (like where to do the DB connecting,..etc)
Could anyone show me steps I should follow to implement it?

If it's still relevant, you can start by connecting to the database with sqlalchemy.
import sqlalchemy as sq
from sqlalchemy.engine import url as sq_url
db_connect_url = sq_url.URL(
drivername='mysql+mysqldb',
username=DB_username,
password=DB_password,
host=DB_hostname,
port=DB_port,
database=DB_name,
)
engine = sq.create_engine(db_connect_url)
From there you can manipulate the data by checking the available methods on engine. What I normally do is use pandas in situations like these.
import pandas as pd
df = pd.read_sql_table(table_name, engine)

I also had to do this recently.... I managed to get it sorted - but it is a little too clunky.
I created a Separate CherryPy REST Api in a separate Project. The Entry point looks like
#cherrpy.expose
def web_api_to_call(self, table,value):
#Do SQL Query
return str(sql_table_value)
Then in Django Created a New app, then created a Widget.py. Inside the Widget.py I wrote something like this.
import requests
class webquery(NumberWidget):
classparams=[("widget1","web_api_to_call","table","values"),
("widget2","web_api_to_call","table2","values2"),
("widget3","web_api_to_call","table3","values3")]
def myget(self):
for tup in self.classparams:
if tup[0]==type(self).__name__:
url=tup[1]
table=tup[2]
value=tup[3]
url = "http://127.0.0.1:8000/"+url
# Do Web Call Error Checking Omitted
return requests.get(url,params={"table":table,"values":value)}).text()
def get_value(self):
#Override default
return self.my_get()
#Now create new Widgets as per the static definition at the top
class widget1(web query):
id=1
class widget2(web query):
id=1
class widget3(web query):
id=1
You now just add your new widgets - as you normally would in the urls.py and then in the dashing-config.js and you are done.
Hope this assists someone.

Google Analytics and Python

I'm brand new at Python and I'm trying to write an extension to an app that imports GA information and parses it into MySQL. There is a shamfully sparse amount of infomation on the topic. The Google Docs only seem to have examples in JS and Java...
...I have gotten to the point where my user can authenticate into GA using SubAuth. That code is here:
import gdata.service
import gdata.analytics
from django import http
from django import shortcuts
from django.shortcuts import render_to_response
def authorize(request):
next = 'http://localhost:8000/authconfirm'
scope = 'https://www.google.com/analytics/feeds'
secure = False # set secure=True to request secure AuthSub tokens
session = False
auth_sub_url = gdata.service.GenerateAuthSubRequestUrl(next, scope, secure=secure, session=session)
return http.HttpResponseRedirect(auth_sub_url)
So, step next is getting at the data. I have found this library: (beware, UI is offensive) http://gdata-python-client.googlecode.com/svn/trunk/pydocs/gdata.analytics.html
However, I have found it difficult to navigate. It seems like I should be gdata.analytics.AnalyticsDataEntry.getDataEntry(), but I'm not sure what it is asking me to pass it.
I would love a push in the right direction. I feel I've exhausted google looking for a working example.
Thank you!!
EDIT: I have gotten farther, but my problem still isn't solved. The below method returns data (I believe).... the error I get is: "'str' object has no attribute '_BecomeChildElement'" I believe I am returning a feed? However, I don't know how to drill into it. Is there a way for me to inspect this object?
def auth_confirm(request):
gdata_service = gdata.service.GDataService('iSample_acctSample_v1.0')
feedUri='https://www.google.com/analytics/feeds/accounts/default?max-results=50'
# request feed
feed = gdata.analytics.AnalyticsDataFeed(feedUri)
print str(feed)

Maybe this post can help out. Seems like there are not Analytics specific bindings yet, so you are working with the generic gdata.

I've been using GA for a little over a year now and since about April 2009, i have used python bindings supplied in a package called python-googleanalytics by Clint Ecker et al. So far, it works quite well.
Here's where to get it: http://github.com/clintecker/python-googleanalytics.
Install it the usual way.
To use it: First, so that you don't have to manually pass in your login credentials each time you access the API, put them in a config file like so:
[Credentials]
google_account_email = youraccount#gmail.com
google_account_password = yourpassword
Name this file '.pythongoogleanalytics' and put it in your home directory.
And from an interactive prompt type:
from googleanalytics import Connection
import datetime
connection = Connection() # pass in id & pw as strings **if** not in config file
account = connection.get_account(<*your GA profile ID goes here*>)
start_date = datetime.date(2009, 12, 01)
end_data = datetime.date(2009, 12, 13)
# account object does the work, specify what data you want w/
# 'metrics' & 'dimensions'; see 'USAGE.md' file for examples
account.get_data(start_date=start_date, end_date=end_date, metrics=['visits'])
The 'get_account' method will return a python list (in above instance, bound to the variable 'account'), which contains your data.

You need 3 files within the app. client_secrets.json, analytics.dat and google_auth.py.
Create a module Query.py within the app:
class Query(object):
def __init__(self, startdate, enddate, filter, metrics):
self.startdate = startdate.strftime('%Y-%m-%d')
self.enddate = enddate.strftime('%Y-%m-%d')
self.filter = "ga:medium=" + filter
self.metrics = metrics
Example models.py: #has the following function
import google_auth
service = googleauth.initialize_service()
def total_visit(self):
object = AnalyticsData.objects.get(utm_source=self.utm_source)
trial = Query(object.date.startdate, object.date.enddate, object.utm_source, ga:sessions")
result = service.data().ga().get(ids = 'ga:<your-profile-id>', start_date = trial.startdate, end_date = trial.enddate, filters= trial.filter, metrics = trial.metrics).execute()
total_visit = result.get('rows')
<yr save command, ColumnName.object.create(data=total_visit) goes here>