Task Manager (photometry.TaskManager)
A TaskManager which keeps track of which targets to process.
Code author: Rasmus Handberg <rasmush@phys.au.dk>
- class photometry.taskmanager.TaskManager(todo_file, cleanup=False, overwrite=False, cleanup_constraints=None, summary=None, summary_interval=200, load_into_memory=False, backup_interval=10000)[source]
- A TaskManager which keeps track of which targets to process. - __init__(todo_file, cleanup=False, overwrite=False, cleanup_constraints=None, summary=None, summary_interval=200, load_into_memory=False, backup_interval=10000)[source]
- Initialize the TaskManager which keeps track of which targets to process. - Parameters:
- todo_file (string) – Path to the TODO-file. 
- cleanup (boolean, optional) – Perform cleanup/optimization of TODO-file before during initialization. Default=False. 
- overwrite (boolean, optional) – Restart calculation from the beginning, discarding any previous results. Default=False. 
- cleanup_constraints (dict, optional) – Dict of constraint for cleanup of the status of previous correction runs. If not specified, all bad results are cleaned up. 
- summary (string, optional) – Path to file where to periodically write a progress summary. The output file will be in JSON format. Default=None. 
- summary_interval (int, optional) – Interval at which summary file is updated. Setting this to 1 will mean writing the file after every tasks completes. Default=100. 
 
- Raises:
- FileNotFoundError – If TODO-file could not be found. 
 - Code author: Rasmus Handberg <rasmush@phys.au.dk> 
 - backup()[source]
- Save backup of todo-file to disk. This only has an effect when load_into_memory is enabled. - Code author: Rasmus Handberg <rasmush@phys.au.dk> 
 - get_number_tasks(**kwargs)[source]
- Get number of tasks due to be processed. - Parameters:
- **kwarg – Keyword arguments are passed to - build_constraints().
- Returns:
- Number of tasks due to be processed. 
- Return type:
- int 
 
 - get_random_task()[source]
- Get random task to be processed. - Returns:
- Dictionary of settings for task. 
- Return type:
- dict or None 
 
 - get_task(**kwargs)[source]
- Get next task to be processed. - Parameters:
- **kwarg – Keyword arguments are passed to - build_constraints().
- Returns:
- Dictionary of settings for task. 
- Return type:
- dict or None 
 
 - save_result(result)[source]
- Save results and diagnostics. This will update the TODO list. - Parameters:
- results (dict) – Dictionary of results and diagnostics. 
 
 
- photometry.taskmanager.build_constraints(priority=None, starid=None, sector=None, cadence=None, camera=None, ccd=None, cbv_area=None, datasource=None, tmag_min=None, tmag_max=None, return_list=False)[source]
- Build constraints for database query from given parameters. - For - tmag_minand- tmag_maxconstraints, these limits are put on the primary target for all secondary targets. This means that a faint target will still be processed if it is in the TPF of a bright target. This is because this constraint is primarily used for processing bright targets separately since these require more memory.- Parameters:
- priority (int, optional) – Only return task matching this priority. 
- starid (int, optional) – Only return tasks matching this starid. 
- sector (int, optional) – Only return tasks matching this Sector. 
- cadence (int, optional) – Only return tasks matching this cadence. 
- camera (int, optional) – Only return tasks matching this camera. 
- ccd (int, optional) – Only return tasks matching this CCD. 
- cbv_area (int, optional) – Only return tasks matching this CBV-AREA. 
- datasource (str, optional) – Only return tasks from this datasource. Choises are - 'tpf'and- 'ffi'.
- tmag_min (float, optional) – Lower/bright limit on Tmag. 
- tmag_max (float, optional) – Upper/faint limit on Tmag. 
 
- Returns:
- List of strings containing constraints for database. The constraints should be
- joined with “AND” to have the desired effect. 
 
- Return type:
- list 
 - Code author: Rasmus Handberg <rasmush@phys.au.dk>