I am new to Python and JavaScript and (attempting) to use cola.js. My HTML form sends information to Python, which turns it into an array of dictionaries.
Class_Name(ndb.Model):
class_title = ndb.JsonProperty()
def post(self):
classname = self.request.get('classname') #user inputs 1 classname
prereq = self.request.get('prereq') #user inputs 1 prereq
new_dictionary = {}
new_dictionary [classname] = prereq
new_class = Class_Name(class_title = new_dictionary) #stores as a dictionary
new_class.put()
Class_data = Class_Name.query().fetch() #gets all instances of Class_Name
*** code that goes in b/w sends back to input form if want to add more classes, else, goes to below code
output = []
for a in Class_data:
jsonprop = a.class_title
extracted_output = json.dumps(jsonprop)
output.append(extracted_output)
template_vars= {'Class_data': output}
template = jinja2_environment.get_template('template/post.html')
self.response.write(template.render(template_vars))
This is my basic code so far. I want to use cola.js to turn my information into a graph, basically mapping out each class with its prerequisites. However, the cola.js format is a JavaScript file that looks like this:
graph = {
nodes: [
{
id: 'A'
}, {
id: 'B'
}, {
id: 'C'
}
],
links: [
{
id: 1,
source: 'A',
target: 'B'
}, {
id: 2,
source: 'B',
target: 'C'
}, {
id: 3,
source: 'C',
target: 'A'
}
]
};
Is there any way I can tell JavaScript to get my Python array, and enter the info into the JavaScript file like this?
graph = {
nodes: [
{
id: 'Class1' **will put actual class name
}, {
id: 'Class2'
}
],
links: [
{
id: 1,
source: 'Class1',
target: 'prereq'
}, {
id: 2,
source: 'Class2',
target: 'prereq'
}
]
};
This is a rough code for turning my Python information into the JavaScript format.
nodes_array = []
nodes_dict = {}
links_array = []
links_dict = {}
graph_array = []
#loops through every element
for a in Class_data:
jsonprop = a.class_title
extracted_output = json.loads(jsonprop)
for c_class, prereq in extracted_output.iteritems():
# for the links dictionary
counter_link = 1
# creates {'id':'class1'}
nodes_dict['id'] = c_class
#creates [ {'id':'class1'}, {'id':'class2'}]
nodes_array.append(nodes_dictionary)
# creates {'id': 'counter', 'source': 'class1', 'target': 'prereq'}
links_dictionary[id] = counter_link
counter_link++
links_dictionary[source] = c_class
links_dictionary[target] = prereq
# creates [{'id': 'counter', 'source': 'class1', 'target': 'prereq'}]
links_array.append(links_dictionary)
#creating the format --> 'nodes': [ {id: class1}, {id:class2}, {id:class3} ]"
#creating the format --> 'links': [ {id: 1, source :class2, target :class3} ]"
graph[nodes] = nodes_array
graph[links] = links_array
Your Python script can use the json module to write the graph to a file in a format that JavaScript understands.
If you do this in Python:
import json
graph = {
'nodes': [ {'id': 'Class1'}, {'id': 'Class2'} ],
'links': [
{ 'id': 1, 'source': 'Class1', 'target': 'prereq' },
{ 'id': 2, 'source': 'Class2', 'target': 'prereq' }
]
}
with open('graph.js', 'w') as out_file:
out_file.write('var graph = %s;' % json.dumps(graph))
The result is a file named graph.js, containing this:
var graph = {"links": [{"target": "prereq", "source": "Class1", "id": 1}, {"target": "prereq", "source": "Class2", "id": 2}], "nodes": [{"id": "Class1"}, {"id": "Class2"}]};
If you load graph.js before loading your own JavaScript file, you can refer to the variable graph to use your graph.
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