real-time reduction

[jradavenport]

write a version of autoreduce that does the cal's, and then waits and reduces data in real time as it comes down from the telescope

• [ ] for first pass, copy autoreduce functionality. assume user takes calibration files first
• [ ] decide if want to do both RED and BLUE? Wouldn't be too hard...
• [ ] instead of looping over images in list, do while loop or similar
• [ ] when new image arrives, read in, reduce it, output results
• [ ] if new HeNeAr image comes in, update wavelength solution

[jradavenport]

After talking with @kolbylyn, realized we need to put in a bit of extra caution because files come in slowly from TUI and may be incomplete when PyDIS tries to read them.

I tested this w/ astropy.io.fits.open(), and if you give it an incomplete file it returns an IOError. Thus we need to include a Try-Except test, something like this:

while ...
# look for new files, if found, then do this
try:
    hdulist = fits.open('new_img.fits')
except IOError:
    print('nope')

[jradavenport]

Some thoughts on watching a folder for new files: http://stackoverflow.com/questions/3411020/python-checking-if-new-file-is-in-folder

and reading them in with os vs subprocess: http://stackoverflow.com/questions/3791465/python-os-system-for-command-line-call-linux-not-returning-what-it-should