Date
Attendees
IPAC: Unknown User (xiuqin), Trey Roby, Gregory Dubois-Felsmann, Tatiana Goldina, Serge Monkewitz,
SLAC: Andy Salnikov, Brian Van Klaveren, John Gates, Unknown User (danielw), Kian-Tat Lim, Jacek Becla
Discussion items
Structure of JSON results
- Relevant links
- - DM-1868Getting issue details... STATUS
- API
- JSON object with extra info is better than arrays
- unofficial standard: response as top level key
- perhaps try to come up with a generic response container object, containing:
- top level response key
- pagination information
- metadata about json object
- status, eg "no rows returned"
- server or client error, these are tricky (user provided input bad, server down, etc). Sometime it is a problem with application software. Return 500 or 404 type error.
- We should define our own errors that correspond to the special error conditions
- software for validating json exists, not as much as for xml, it is all much looser
- useful for documenting json results:
- REST+JSON documentation:
- http://docs.datacatalog.apiary.io/
- might be useful to have unit tests to check we are returning what we should
- Will production be using the RESTful API / webservice?
- webservice will be layered on top of internal services (butler, cutout etc).
- no compelling argument that production computation should use RESTful interfaces
- so use the underlying service, don't go through a central webservice
- need to check if cutout is modeled in storage model as distributed service
- sending the same image to many nodes == less caching
- rely on data locality (don't send the same data to many nodes, send to the same)
Fast image search
- relevant links
- SciSQL does not support what we need for searching images
- concerned about indexing (finding fast whether polygons overlap)
- if images of different size, need to pick some coarse level of htm, that is suboptimal
- can store multiple htm levels
- likely need special index, eg 3-d R-tree
- Talk to mysql GIS experts at: http://www.percona.com/live/mysql-conference-2015/
- in Fermi, dealing with "events" that are point, we deal with areas
- science question: what do we need to support in terms of searching / selecting images. E.g., point in image enough? Polygons overlapping images. Jacek will ask Mario Juric. Via JIRA ticket.
- Serge will update JIRA ticket: add notes what to test
Raw images
- Related links
- DM-2241Getting issue details... STATUS - Format?
- SUI can always request the image as FITS
- Returned data?
- Raw pixel plus metadata we obtained from obs control system and telescope control system (which will include "where telescope was pointing" – approx WCS)
- few years later, when we have precise WCS, we might want to return that with image. But might want to call it differently ("augmented raw image")
- Size units?
- typically amplifier level
- ok to request smaller than amplifier (although it is usually not useful)
- There is no such thing as CCD raw image. No plans to do stitching raw images
- Typical uses of raw images? What metadata should go with raw data? Xiuqin will ask Mario Juric. Via JIRA ticket
Next week - Xiuqin will run the meeting