Incremental FTP backups

If you happen to only have FTP access to a server or account (CPanel) you’re looking after, LFTP is an efficient tool to keep incremental backups. This will make hard links of the previous backup and updated it, copying and storing only changed files.

Extend Pandas DataFrame with custom functions and attributes

At Quantego.com we love working with Pandas Dataframes. We use them to store and analyze results from simulation runs. On top of our data matrix and a multi-level index we also need to accommodate custom plotting functions and attributes from the previous simulation run.

Subclassing  pandas.DataFrame for this task was a no-brainer. The new version 0.16.1 (to be released in the next days) includes some fixes to make working with subclasses of complex data-frames (DF) easier. Here an example of what can be done. First define two new classes for  pandas.Series (single col DF) and  pandas.DataFrame . You can define new functions or attributes, as needed.

Notice  _constructor  and  _constructor_sliced . They make sure you get the correct class back, when slicing the DF.

Via  self  you have convenient access to all Pandas functions and can even roll your own.

Regex to find phone numbers in every format

I couldn’t find a truly universal regular expression (regex) to match phone numbers, no matter from which country and in which format. They all seemed to be limited in some way. Even named entity extraction APIs require you to set a country to find phone numbers.

In the end I rolled my own regex. It simply looks for a certain amount of numbers and characters generally used to make phone numbers human-readable. If you are looking to match longer or shorter numbers, you can just change the quantifiers. Some examples it will match:

While not matching:

And here the regex:

To use it in Python

 

Let me know, if this is useful for you or if you find space for improvement. Currently the biggest issue I see is that the matching ranges between numbers and total chars are unrelated. Due to many filling chars higher values are needed. Those can lead to false negatives. Best test it for yourself.

Python clipboard access

I was using Python and Jinja2 to generate some tables with 100+ rows for WordPress. This package saved me the extra step to open a file and copy+paste it from there.

There should be many other uses to integrate it into semi-automated workflows.

Check it out here.

Extract structured data from PDF invoices

Most invoices exist in electronic format. They are generated from structured data and need to be entered as structured data. It’s a shame that we still need humans to manually extract data points, like amount, date or issuer from it.

In the last days, I tried a few online invoicing solutions, like shoeboxed, but none of them does a good job at automatically recognizing new invoices. Some do it manually and charge accordingly.

Currently I don’t see a way to automatically get the data. PDFs are simply not made for this. the best we can do is to add templates for a specific invoice format and use that to extract the data. I have created a proof of concept library, which is open source on github.

If you have any thoughts on what to improve or would like to extend this to use it in a production accounting, let me know.

Scalable Docker Monitoring with Fluentd, Elasticsearch and Kibana 4

Screen Shot 2014-11-20 at 14.38.27

Docker is a great set of technologies. Once you are comfortable with using it, you are presented with a set of challenges, you didn’t have before. To name some:

  • log consolidation: How to retrieve log files from dozens of containers?
  • monitoring: How much RAM and CPU is each container using?

There are a few articles on this topic out there. After reading them none of the solutions really hit me, but they all had some nice features which I chose to combine here. Continue reading

Linksnappy Command Line Downloader (Python)

Simple Python script to download files via Linksnappy.

SSLv3 no longer supported

I had SSLv3 disabled for HTTP for quite some time. In the light of recent event, it is now also disabled for IMAP and SMTP. If you run into any trouble, let us know or update your clients.

Online iPython Notebook Viewer

We recently started using the slide function of iPython notebooks. Basically it allows you to partition your notebook onto different slides, slide fragments and subslides. Those can be exported to reveal.js

There is already a great viewer for notebooks on http://nbviewer.ipython.org. To save some steps in exporting, converting and adding reveal.js, I took the idea and added a slide viewer. Anyone can use it to link to their slides on Github, Gist or any other place. We even support Basic Auth. Check it out at:

https://slides.quantego.com

 

Access Docker container attributes in Ansible

Ansible is a great automation solution. I mainly use it to provision servers and launch Docker instances on them. Sometimes I need container attributes, like PID or Port to configure Nginx or monitoring tools.

While the Ansible documentation gives you some hints, I didn’t find it 100% obvious on how to solve this. Basically all your newly-created containers will end up in a list called docker_containers. It has the same structure as docker inspect.

For the PID:

For the host port:

So you could add a PID-file for a container like this:

Also read the full docs here.

Advanced monit: Keep track of daemons, websites, RAIDs and partitons

Introduction

Are you already hosting your own mail- or webserver and do you enjoy the flexibility, control and freedom self-hosting gives you? Besides the many advantages like better privacy and the power to customize it gives you personally, you can also offer your services to other people. Even tough there are a large number of budget hosting companies, many customers are willing to pay for better support or the comfort to have you around for questions. Continue reading