Enabling Distributed Processing - #61
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markmac99 wants to merge 279 commits into
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and master mode remote data processing
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ps - thanks for finding time to review this. When you've stared at it for as long as i have, you stop seeing the bugs :) |
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Absolutely, it's a monumental piece of work and a second pair of eyes is always helpful :) |
…nd branch crashes." reported by Denis Vida
return false if unable to add Trajectory; return false if traj_id is none and attempting to mark traj deleted
…rted on py3.11 or later
Reverse merge ongoing changes to alphabeta and rebound in upstream
bring upstream changes into my branch
avoid unnecessary error messages from Rebound when running CorrelateR…
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@dvida removing previous comment as i think i just figured out a solution. I'll pass an optional "parent logger" as a parameter to the constructor of Trajectory(). If thats None, then i'll create a console-only logger within Trajectory.py. If the parent logger is not None, then I'll use it. I think this will work, but need to test it from a few places. |
Quieten rebound
Merge upstream master changes into my branch
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An upgrade to the RMS solver, CorrelateRMS, to enable distributed processing across multiple servers. To assist with this the first step has been split into two, one to create candidates and one to perform initial simple solutions.
This PR also replaces the JSON database with SQLite which is necessary to enable distributed processing and also brings performance benefits. The PR adds two new commandline arguments, one to control how much data to retain in the databases, and one to post-fix the log name with the phase name eg correlate_rms_20260101_12345_cands.log. This is to ensure each phase's logfile is uniquely named and to make it easier to monitor and debug.