A small Python library for running JQL queries against Mixpanel's JQL API. The data returned from the API is automatically decompressed as it arrives, making it available for processing as soon as the first row arrives. This is to avoid buffering large result sets in memory.
To install the mixpanel-jql library, simply run the following in
your terminal:
pip install mixpanel-jql
Let's do a simple count of our number of 'X' events over each day of May 2016. Our key for grouping will be the date the event was sent to Mixpanel in the format YYYY-MM-DD. We can get that from our event's time property by specifying our key as new Date(e.time).toISOString().split('T')[0].
This is simple and fast to do with this library.
from datetime import datetime
from mixpanel_jql import JQL, Reducer, Events
api_secret = '...'
query = JQL(
api_secret,
events=Events({
'event_selectors': [{'event': "X"}],
'from_date': datetime(2016, 5, 1),
'to_date': datetime(2016, 5, 31)
})
).group_by(
keys=[
"new Date(e.time).toISOString().split('T')[0]",
],
accumulator=Reducer.count()
)
for row in query.send():
date = row['key'][0]
value = row['value']
print("[%s] => %d" % (date, value))
# [2016-05-01] => 302
# [2016-05-02] => 1102
# ...
# [2016-05-31] => 120But what if we only want to count unique events? That is to say, what if we care about how many users spawned each event per day and not just the overall number of times the event occurred?
With some minor modification to our previous code, we can achieve this:
query = JQL(
api_secret,
events=Events({
'event_selectors': [{'event': "X"}],
'from_date': datetime(2016, 5, 1),
'to_date': datetime(2016, 5, 31)
})
).group_by_user(
keys=[
"new Date(e.time).toISOString().split('T')[0]",
],
accumulator="function(){ return 1;}"
).group_by(
keys=["e.key.slice(1)"],
accumulator=Reducer.count()
)We replace our accumulator keyward argument with a JavaScript function returning 1, since each user will only be counted for once. group_by_user also adds the user ID into the key of our results. We can regroup our results by slicing that detail off with e.key.slice(1) and recounting.
Let's assume we want to count all events 'A' with a property 'B' that is equal to 2 and a property F that is equal to "hello". Events 'A' also have a property 'C', which is some random string value. We want the results grouped and tallied by values of 'C' to see how many property 'C' events occurred over each day in the month of April 2016.
from mixpanel_jql import JQL, Reducer, Events
api_secret = '...'
query = JQL(
api_secret,
events=Events({
'event_selectors': [{'event': "A"}],
'from_date': '2016-04-01',
'to_date': '2016-04-30'
})
).filter(
'e.properties.B == 2'
).filter(
'e.properties.F == "hello"'
).group_by(
keys=[
"new Date(e.time).toISOString().split('T')[0]",
"e.property.C"
],
accumulator=Reducer.count()
)
for row in query.send():
date, c = row['key']
value = row['value']
print("[%s] %s => %d" % (date, c, value))
# [2016-04-01] abc => 3
# [2016-04-01] xyz => 1
# ...If we wanted to count only unique events (i.e. count each user causing
the event only once), we can change our query to group by user, to
reduce the number of times they caused a particular e.properties.C
to just 1.
query = JQL(
api_secret,
events=Events({
'event_selectors': [{'event': "A"}],
'from_date': '2016-04-01',
'to_date': '2016-04-30'
})
).filter(
'e.properties.B == 2'
).filter(
'e.properties.F == "hello"'
).group_by_user(
keys=[
"new Date(e.time).toISOString().split('T')[0]",
"e.property.C"
],
accumulator="function(){ return 1;}"
).group_by(
keys=["e.key.slice(1)"],
accumulator=Reducer.count()
)We could have also combined our .filter(...) methods into 1 method
by doing, .filter('e.properties.B == 2 && e.properties.F == "hello"').
Successive .filter(...) expressions are automatically &&'ed. The
method of expression you choose is stylistic.
The Reducer class is for convenience and contains shortcuts to all
the reducer functions (e.g. Reducer.count() returns
mixpanel.reducer.count(), and Reducer.top(limit) returns
mixpanel.reducer.top(limit)). Refer to the code for a list of all
reducer shortcuts.
To write your own reducer, make sure to include a full JavaScript
function body (i.e. function(){ ... }).
The Converter class is another convenience for that.
from mixpanel_jql import Converter
...
Converter.to_number('"xyz"') # Resolves to mixpanel.to_number("xyz")All of the previous examples are concerned primarily with JQL queries over events. This library also supports queries over people and the join of people and events. The following gives a skeleton for how that works.
You are free to use only one of events and people. join_params
is only used if both events and people are set.
query = JQL(
api_secret,
events=Events({
'event_selectors': [
{
'event': '...',
'selector': '...',
'label': '...'
},
...
],
'from_date': '<YYYY-MM-DD>',
'to_date': '<YYYY-MM-DD>'
}),
people=People({
'user_selectors': [
{
'selector': '...'
},
...
]
}),
join_params={
'type': 'full',
'selectors': [
{
'event': '...',
'selector': '...',
},
...
]
}
). ...Mixpanel seems to be in a constant state of adding new functions beyond just filter and map.
The following are presently supported by this library. Refer to the code for their usage.
filtermapflattensort_ascsort_descreducegroup_bygroup_by_user
Use str method on your JQL query to view what the
equivalent JavaScript will be.
>>> str(query)
'function main() { return Events({"event_selectors": [{"event": "A"}], "from_date": "2016-04-01", "to_date": "2016-04-30"}).filter(function(e){return e.properties.B == 2}).filter(function(e){return e.properties.F == "hello"}).groupByUser([function(e){return new Date(e.time).toISOString().split(\'T\')[0]},function(e){return e.property.C}], function(){ return 1;}).groupBy([function(e){return e.key.slice(1)}], mixpanel.reducer.count()); }'This can be quite helpful during debugging.
But what if you want something actually readable? That's now possible too with the .pretty method!
>>> print(query.pretty)
function main() {
return Events({
"event_selectors": [{
"event": "A"
}],
"from_date": "2016-04-01",
"to_date": "2016-04-30"
}).filter(function(e) {
return e.properties.B == 2
}).filter(function(e) {
return e.properties.F == "hello"
}).groupByUser([function(e) {
return new Date(e.time).toISOString().split('T')[0]
}, function(e) {
return e.property.C
}], function() {
return 1;
}).groupBy([function(e) {
return e.key.slice(1)
}], mixpanel.reducer.count());
}.filter(...) automatically transforms whatever is within the
parenthesis' into function(e){ return ... }.
To override that behavior, and use things like the properties.x
shortcut syntax, use the raw(...) wrapper to insert whatever
JavaScript you want into the filter, map .etc parameters.
from mixpanel_jql import JQL, raw
...
query = JQL(
api_secret,
events=params
).filter(
raw(
" function(e) {"
" if (e.x > 3) {"
" return true;"
" } else {"
" return false;"
" }"
" )"
)
).filter(
'e.properties.F == "hello"'
)
...This library cannot easily express everything possible in Mixpanel's JQL language, but does try to simplify the general cases. If you have some ideas for making this library more user friendly to a wider range of potential queries, please submit a pull request or create an issue.
Contributions are very welcome!
For more information on what you can do with JQL, refer to Mixpanel's documentation here.