Skip to main content

A Python package to create simple SQL queries from the console, and quickly display the returned information.

Project description

Helper to consume a database from the REPL.

Dependencies:

  • pypyodbc
  • tabulate
  • Configuration file dbhelper.ini. A template is included in the source.

Full documentation available in https://github.com/sebasmonia/pyquebec/wiki

Sample:

>>> from pyquebec import database
>>> from pyquebec import dataformatters as qf
>>> master = database.connect('master')  # Connection string name from the ini file, or an entire conn string
>>> master.dbo.sp <TAB KEY>
db.dbo.spt_fallback_db  db.dbo.spt_fallback_usg db.dbo.spt_values
db.dbo.spt_fallback_dev db.dbo.spt_monitor
>>>result = db.dbo.spt_monitor.From().go()
>>> qf.to_html(result)
Creating and opening temp file C:\Users\smonia\AppData\Local\Temp\tmpn3g43ppp.htm
>>> qf.to_csv(result)
Creating and opening temp file C:\Users\smonia\AppData\Local\Temp\tmpe68shxd9.csv
>>> result[0]
row(lastrun=datetime.datetime(2015, 5, 13, 23, 34, 58, 77000), cpu_busy=59, io_busy=29,
idle=288, pack_received=0, pack_sent=0, connections=12, pack_errors=0, total_read=0, total_write=0, total_errors=0)

Pypyodbc returns tuples by default. This library converts them to namedtuples for increased readability and to make it easier to keep playing with the data using filter, map, sorted, etc.

The formatters work with iterables using lists, tuples, dictionaries and namedtuples as rows. There’s a third option that uses tabulate for output to_console(). Both HTML and CSV options create a temp file and use os.startfile (in Windows you get the default browser and, usually, Excel).

Roadmap (help/guidance appreciated!):

  • Other alternatives in PyPI didn’t support SQL Server. This one was tested using SQL Server, but should work with other RDBMS with minimal effort. The final aim is to support as many as possible (all?)
  • The API for querying might need a few tweaks. Suggestions are welcome.
  • Decide on other SQL features to support beyond basic querying. UPDATES, INSERTS, GROUP BY, etc, would it make sense? Would this make supporting other products more difficult?
  • Needs unittest!

Contributors: Sebastián Monía - http://github.com/sebasmonia Fernando Antivero - http://github.com/ferantivero

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for pyquebec, version 0.5.1
Filename, size File type Python version Upload date Hashes
Filename, size pyquebec-0.5.1-py3-none-any.whl (74.9 kB) File type Wheel Python version 3.4 Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page