Project Enferno: RAD framework with Python / Flask / MongoDB / Redis

By Vasudev Ram

Just saw this via Python Weekly's email newsletter. Enferno seems to be a RAD (Rapid Application Development) framework of sorts, using Python, Flask, some Flask extensions, MongoDB AND MongoEngine, and Redis.

Enferno framework

I've worked on a project or two using Python, Flask and MongoDB (which is a NoSQL database), and found it a useful combination for developing apps relatively quickly. Enferno may be worth checking out, which I will do sometime later and may then blog about it.

Here is an article about NoSQL by Martin Fowler that may be of interest to newcomers to the field. Fowler and Pramod Sadalage have also written a book, NoSQL Distilled, which is linked to from Fowler's NoSQL article page. I've read Fowler's earlier book UML Distilled, a small and useful summary of UML, and it looks from the title that their NoSQL book may be on the same lines.

- Vasudev Ram - Dancing Bison Enterprises

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Publish MongoDB data to PDF with xtopdf

By Vasudev Ram

This program, MongoDBToPDF.py, is a demo of how to publish MongoDB (Wikipedia) data to PDF, using my xtopdf toolkit for PDF creation from other data formats.



To run this program, you need to have Python, Reportlab, xtopdf and MongoDB installed on your system.

Here is the MongoDBToPDF program:

# MongoDBToPDF.py
# Program to publish MongoDB data to PDF using xtopdf.
# Author: Vasudev Ram - http://www.dancingbison.com
# Copyright 2013 Vasudev Ram

from PDFWriter import PDFWriter

import pymongo
from pymongo import MongoClient

# Create a PDFWriter object and set some of its fields.
pw = PDFWriter("MongoDB_data.pdf")
pw.setFont("Courier", 12)
pw.setHeader("MongoDB data to PDF")
pw.setFooter("Generated by xtopdf")

# Connect to MongoDB database.
client = pymongo.MongoClient("localhost", 27017)
db = client.test

# Create a collection.
persons = db.persons

# Add some data to it.
db.persons.save({"Name": "Tom", "Age": 10})
db.persons.save({"Name": "Dick", "Age": 20})
db.persons.save({"Name": "Harry", "Age": 30})

# Loop over the collection and print the items to the screen.
for item in db.persons.find():
    print item["Name"], item["Age"]

# Create an index on the Name field.
db.persons.create_index("Name")

# Loop over the sorted items and print them to PDF.
for item in db.persons.find().sort("Name", pymongo.ASCENDING):
    pw.writeLine(item["Name"] + " | " + str(item["Age"]))

pw.close()

# EOF

Save the above program as MongoDBToPDF.py .

Start the MongoDB server (daemon / service) if it is not already running, with:

mongod

You can now run the program with:

python MongoDBToPDF.py

The output will be in the file MongoDB_data.pdf, which you can view in any suitable PDF viewer, such as Adobe Reader or Foxit PDF Reader.

The above program does the following, broadly speaking:

- creates a PDFWriter instance
- connects to a MongoDB database
- creates a collection and populates it with some person data for the demo
- creates an index on the Name field
- sorts the data on the Name field and prints the data to PDF

According to the Wikipedia article linked above, Craigslist, SAP, Forbes, The New York Times, SourceForge, The Guardian, CERN, Foursquare and eBay are some organizations that use MongoDB.

Read all xtopdf posts on jugad2.

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- Vasudev Ram - Dancing Bison Enterprises

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