eurodb 1.0.1

A simple PYODBC/SQLAlchemy wrapper for connection handling

EuroDB Lib

TLDR

---

Generate/Fill your config file and use :

import eurodb
import pandas as pd

db = connect()

data : pandas.Dataframe = db.query("select stuff from somewhere")

Setup

Install it with :

pip install eurodb

Input your credentials into a JSON file of your choosing with the given format (default name is dblogs.json) :

> dblogs.json
[{
    "name": "Thefirstone",
    "server": "tcp:somefunnyurl.windows.net",
    "username": "johndoofus",
    "database": "veryprivatedata",
    "password": "dontsharethisplz"
},
{
    "name": "thecorrectone",
    "server": "tcp:somefunnyurl.windows.net",
    "username": "notjohndoofus",
    "database": "notveryprivatedata",
    "password": "sharethisplz"
}]

Yes it has to be an array even if it's only one entry.

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Now you can connect to the DB and query stuff easily like so :

import eurodb

db = eurodb.connect()

# If you don't have a file containing the login credentials ready, it will generate one for you
# else, you can specify it's name

db = eurodb.connect("connectionFile.json")

# By default, it will connect using the first entry but,
# If you have multiple connections in the file, you can specify which one to use.
# With the example file displayed above, you could use the second entry as so : 

db = eurodb.connect("dblogs.json", connName="thecorrectone")

# Carefull, the `.query` function will be using the last called/loaded entry :

data = db.query("SELECT * from stuff") #would be using "thecorrectone"
db.__loadConnection__("Thefirstone")
data = db.query("SELECT * from stuff") #would be using "Thefirstone"

The return variable will be a pandas dataframe with the desired output.

---

The underlying library used for the SQL results is PYODBC. Running a query will create a new Connection and a Cursor, returning both objects at once.

If you wish to collect your results manually, use the engine method :

import eurodb

db = connect("dblogs.json", connName="reader")

eg = db.getEngine()

with eg.begin() as conn:
    cursor = conn.execute(stx("SELECT * from res.allRegions where country = 'FR' and geocode like '10%'"))

    data = cursor.fetchall()
    print(data)

conn.execute requires special formatting provided by the sqlalchemy.text() function, shortened to stx()