Bringing spatial love to your python application

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Bringing spatial love to your python application with MongoDB and deploy it to OpenShift

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Bringing spatial love to your python application

  1. 1. OPENSHIFT Workshop PRESENTED BY Shekhar Gulati Bringing Spatial Love to your Python Application
  2. 2. WHO AM I • Shekhar Gulati – Works at Red Hat • Principal OpenShift Developer Evangelist • Java / Python/ JavaScript / NoSQL / Cloud Guy • Twitter Handle : shekhargulati • Github https://github.com/shekhargulati • Slides http://www.slideshare.net/shekhargulati
  3. 3. AGENDA ➔ Learn a bit about Flask ➔ Learn some MongoDB basics ➔ Build a location aware Job search application ➔ Go live with a Flask MongoDB powered app in ~ 50 mins
  4. 4. Write an application and host it on internet http://localjobsdemo-shekhargulati.rhcloud.com/ GOAL
  5. 5. CODE DU JOUR https://github.com/shekhargulati/localjobs-python2.7
  6. 6. ● You know Python ● You know Git ● You like to write code rather than managing servers. ASSUMPTIONS
  7. 7. The Tools Flask , MongoDB , and OpenShift
  8. 8. FLASK
  9. 9. ● Flask is a microframework for web application development in Python ● Microframework refers to simplicity and small size of framework ● It is inspired by Sinatra(Ruby framework to create web apps with minimum fuss) ● Built on Werkzeug , Jinja2 , WSGI ● Good sensible defaults FLASK
  10. 10. ● Easy to learn – dead simple ● Simple but extensible ● Excellent documentation spread over 280 pages with lots of examples ● Very active community ● It has minimal footprint ● Does not make choice for you ● Unit testing support WHY FLASK?
  11. 11. $ mkdir flask-demo $ cd flask-demo $ virtualenv venv --python=python2.7 $ . venv/bin/activate $ pip install flask $ touch app.py $ python app.py FLASK : GETTING STARTED
  12. 12. ● Look under templates for templates (default jinja2) ● Look under static for assets (CSS , JS , etc.) FLASK DEFAULTS
  13. 13. RESTFUL REQUEST DISPATCHING
  14. 14. MONGODB
  15. 15. 15  Open Source NoSQL document datastore – JSON style documents  Schema-less – Each document is heterogeneous, and may have completely unique structure compared to other documents  Fast and horizontally scalable  Rich query language  Rich documents  Easy to get running  Geospatial indexing WHAT IS MONGODB
  16. 16. Database → Database Table → Collection Row → JSON Document Index → Index Join → Embedding STEP 4 : MONGODB TERMINOLOGY
  17. 17. 17  What is it for?  Find all the MongoDB jobs near me – Proximity Queries  Find all the MongoDB jobs within Tokyo – Bounded Queries  Find all the MongoDB job at this location – Exact Queries ● Supports only two dimensional indexes.  You can only have one geospatial index per collection.  By default, 2d geospatial indexes assume longitude and latitude have boundaries of -180 inclusive and 180 non- inclusive (i.e. [-180, 180)) GEOSPATIAL INDEXING BASICS
  18. 18. 18 1) Put your coordinates into an array { loc : [ 50 , 30 ] } //SUGGESTED OPTION { loc : { x : 50 , y : 30 } } { loc : { foo : 50 , y : 30 } } 1) { loc : { lon : 40.739037, lat: 73.992964 } } 2) Make a 2d index db.jobs.ensureIndex( { loc : "2d" } ) 3) If you use latitude and longitude as your coordinate system, always store longitude first. MongoDB’s 2d spherical index operators only recognize [ longitude, latitude] ordering. HOW TO MAKE IT WORK
  19. 19. 19 // Find all the jobs with skill as mongodb db.jobs.find({"skills":"mongodb"}) // Find all the jobs with python as skill and near to given location db.jobs.find({"lngLat":{$near : [139.69 , 35.68]}, "skills":"python"}) // Find all the python or mongodb jobs near to given location db.jobs.find({"lngLat":{$near : [139.69 , 35.68]}, "skills":{$in : ["mongodb","python"]}}) SOME QUERIES
  20. 20. Platform as a Service delivers • Application run-time environment in the cloud • Configures & manages both the cloud & stack for your application “The cloud is now useful!”
  21. 21. origin Public Cloud Service On- premise or Private Cloud Software Open Source Project FLAVORS OF OPENSHIFT
  22. 22. 23 OUR STACK
  23. 23. 24 https://openshift.redhat.com/app/account/new Promo code is PYCONAPAC CREATING OPENSHIFT ACCOUNT
  24. 24. ● Free! No time limit ● 3 gears (like servers) - each 512 Mb RAM, 1 Gb disk ● Auto-scaling ● Simple pricing BUT WAIT – THERE's MORE
  25. 25. 1) Create Python 2.7 OpenShift Application 2) Add MongoDB database 3) Pull source code from github 4) Import data into MongoDB 5) Push the changes to Application DEMO
  26. 26. rhc app create localjobs python-2.7 CREATE APPLICATION
  27. 27. rhc cartridge add mongodb-2.2 --app localjobs ADD CARTRIDGE
  28. 28. git remote add upstream -m master https://github.com/shekhargulati/localjobs-python2.7.git git pull -s recursive -X theirs upstream master PULL SOURCECODE
  29. 29. ● Step 1 : Application Setup , User Registration , User login – git checkout 005ce14038f489b16249a28be84c035cad99b2b8 ● Step 2 : Create New Job – git checkout e96e5d19f28ae8aaa33c1cce283daef98c4ff124 ● Step 3 : Search with Near – git checkout 06a388f003fbfec51c6cee1763bae3cf96b58185 ● Step 4 : Search with GeoNear – git checkout 653e830dfecf5e7df31016be14e89d5daadb84ee ● Step 5 : OpenShift Application – git checkout master CODE WALKTHROUGH
  30. 30. $ rhc show-app $ scp jobs-data.json <ssh url>:app-root/data $ rhc ssh $ cd app-root/data $ mongoimport -d localjobs -c jobs --file jobs-data.json -u $OPENSHIFT_MONGODB_DB_USERNAME -p $OPENSHIFT_MONGODB_DB_PASSWORD -h $OPENSHIFT_MONGODB_DB_HOST -port $OPENSHIFT_MONGODB_DB_PORT IMPORT DATA INTO MONGODB
  31. 31. git push DEPLOY APP
  32. 32. rhc create-app localjobs python-2.7 mongodb-2.2 --enable-jenkins -s --from-code https://github.com/shekhargulati/localjobs-python2.7.git LOT MORE GOODIES AutoScaling + Jenkins
  33. 33. QUESTIONS?
  34. 34. DONE!

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