1 / 6

Astro-Wise

Processing Data From raw images to source lists. Astro-Wise. Pipelines. Pipelines are about data administration Persistent objects Python classes Object's state Should also work Distinguish between meta-data and bulk data Meta data inpersistent objects Bulk data through file server.

sanne
Download Presentation

Astro-Wise

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Processing Data From raw images to source lists Astro-Wise

  2. Pipelines • Pipelines are about data administration • Persistent objects • Python classes • Object's state • Should also work • Distinguish between meta-data and bulk data • Meta data inpersistent objects • Bulk data through file server

  3. The make metaphore • Targets and dependencies • Specify the result instead of the input

  4. Python Persistency • Python OO layer to support • Database type/table creation • Row/object instantion • Querying • Datatypes • References

  5. Persistency Example from astro.database.DBMain import DBObject, persistent class DataObject(DBObject):filename = persistent('File part of this object', str, '') example = DataObject(filename='example.txt') example.store() example.commit() g = DataObject.filename.like('example*')

More Related