# Copyright (C) 2013 Ian Harry # # This program is free software; you can redistribute it and/or modify it # under the terms of the GNU General Public License as published by the # Free Software Foundation; either version 3 of the License, or (at your # option) any later version. # # This program is distributed in the hope that it will be useful, but # WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General # Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. # # ============================================================================= # # Preamble # # ============================================================================= # """ This module is responsible for setting up the template bank stage of CBC workflows. For details about this module and its capabilities see here: https://ldas-jobs.ligo.caltech.edu/~cbc/docs/pycbc/ahope/template_bank.html """ from __future__ import division import os import ConfigParser import urlparse, urllib import logging import pycbc from pycbc.workflow.core import File, FileList, make_analysis_dir, resolve_url from pycbc.workflow.jobsetup import select_tmpltbank_class, select_matchedfilter_class, sngl_ifo_job_setup def setup_tmpltbank_workflow(workflow, science_segs, datafind_outs, output_dir=None, psd_files=None, tags=None, return_format=None): ''' Setup template bank section of CBC workflow. This function is responsible for deciding which of the various template bank workflow generation utilities should be used. Parameters ---------- workflow: pycbc.workflow.core.Workflow An instanced class that manages the constructed workflow. science_segs : Keyed dictionary of glue.segmentlist objects scienceSegs[ifo] holds the science segments to be analysed for each ifo. datafind_outs : pycbc.workflow.core.FileList The file list containing the datafind files. output_dir : path string The directory where data products will be placed. psd_files : pycbc.workflow.core.FileList The file list containing predefined PSDs, if provided. tags : list of strings If given these tags are used to uniquely name and identify output files that would be produced in multiple calls to this function. Returns -------- tmplt_banks : pycbc.workflow.core.FileList The FileList holding the details of all the template bank jobs. ''' if tags is None: tags = [] logging.info("Entering template bank generation module.") make_analysis_dir(output_dir) cp = workflow.cp # Parse for options in ini file tmpltbankMethod = cp.get_opt_tags("workflow-tmpltbank", "tmpltbank-method", tags) # There can be a large number of different options here, for e.g. to set # up fixed bank, or maybe something else if tmpltbankMethod == "PREGENERATED_BANK": logging.info("Setting template bank from pre-generated bank(s).") tmplt_banks = setup_tmpltbank_pregenerated(workflow, tags=tags) # Else we assume template banks will be generated in the workflow elif tmpltbankMethod == "WORKFLOW_INDEPENDENT_IFOS": logging.info("Adding template bank jobs to workflow.") if cp.has_option_tags("workflow-tmpltbank", "tmpltbank-link-to-matchedfilter", tags): if not cp.has_option_tags("workflow-matchedfilter", "matchedfilter-link-to-tmpltbank", tags): errMsg = "If using tmpltbank-link-to-matchedfilter, you should " errMsg = "also use matchedfilter-link-to-tmpltbank." logging.warn(errMsg) linkToMatchedfltr = True else: linkToMatchedfltr = False if cp.has_option_tags("workflow-tmpltbank", "tmpltbank-compatibility-mode", tags): if not linkToMatchedfltr: errMsg = "Compatibility mode requires that the " errMsg += "tmpltbank-link-to-matchedfilter option is also set." raise ValueError(errMsg) if not cp.has_option_tags("workflow-matchedfilter", "matchedfilter-compatibility-mode", tags): errMsg = "If using compatibility mode it must be set both in " errMsg += "the template bank and matched-filtering stages." raise ValueError(errMsg) compatibility_mode = True else: compatibility_mode = False tmplt_banks = setup_tmpltbank_dax_generated(workflow, science_segs, datafind_outs, output_dir, tags=tags, link_to_matchedfltr=linkToMatchedfltr, compatibility_mode=compatibility_mode, psd_files=psd_files) elif tmpltbankMethod == "WORKFLOW_INDEPENDENT_IFOS_NODATA": logging.info("Adding template bank jobs to workflow.") tmplt_banks = setup_tmpltbank_without_frames(workflow, output_dir, tags=tags, independent_ifos=True, psd_files=psd_files) elif tmpltbankMethod == "WORKFLOW_NO_IFO_VARIATION_NODATA": logging.info("Adding template bank jobs to workflow.") tmplt_banks = setup_tmpltbank_without_frames(workflow, output_dir, tags=tags, independent_ifos=False, psd_files=psd_files) else: errMsg = "Template bank method not recognized. Must be either " errMsg += "PREGENERATED_BANK, WORKFLOW_INDEPENDENT_IFOS " errMsg += "or WORKFLOW_INDEPENDENT_IFOS_NODATA." raise ValueError(errMsg) # Check the format of the input template bank file and return it in # the format requested as per return_format, provided a conversion # between the two specific formats has been implemented. Currently, # a conversion from xml.gz or xml to hdf is supported, but not vice # versa. If a return_format is not specified the function returns # the bank in the format as it was inputted. tmplt_bank_filename=tmplt_banks[0].name ext = tmplt_bank_filename.split('.', 1)[1] logging.info("Input bank is a %s file", ext) if return_format is None : tmplt_banks_return = tmplt_banks elif return_format in ('hdf', 'h5', 'hdf5'): if ext in ('hdf', 'h5', 'hdf5') or ext in ('xml.gz' , 'xml'): tmplt_banks_return = pycbc.workflow.convert_bank_to_hdf(workflow, tmplt_banks, "bank") else : if ext == return_format: tmplt_banks_return = tmplt_banks else: raise NotImplementedError("{0} to {1} conversion is not " "supported.".format(ext, return_format)) logging.info("Leaving template bank generation module.") return tmplt_banks_return def setup_tmpltbank_dax_generated(workflow, science_segs, datafind_outs, output_dir, tags=None, link_to_matchedfltr=True, compatibility_mode=False, psd_files=None): ''' Setup template bank jobs that are generated as part of the CBC workflow. This function will add numerous jobs to the CBC workflow using configuration options from the .ini file. The following executables are currently supported: * lalapps_tmpltbank * pycbc_geom_nonspin_bank Parameters ---------- workflow: pycbc.workflow.core.Workflow An instanced class that manages the constructed workflow. science_segs : Keyed dictionary of glue.segmentlist objects scienceSegs[ifo] holds the science segments to be analysed for each ifo. datafind_outs : pycbc.workflow.core.FileList The file list containing the datafind files. output_dir : path string The directory where data products will be placed. tags : list of strings If given these tags are used to uniquely name and identify output files that would be produced in multiple calls to this function. link_to_matchedfltr : boolean, optional (default=True) If this option is given, the job valid_times will be altered so that there will be one inspiral file for every template bank and they will cover the same time span. Note that this option must also be given during matched-filter generation to be meaningful. psd_file : pycbc.workflow.core.FileList The file list containing predefined PSDs, if provided. Returns -------- tmplt_banks : pycbc.workflow.core.FileList The FileList holding the details of all the template bank jobs. ''' if tags is None: tags = [] cp = workflow.cp # Need to get the exe to figure out what sections are analysed, what is # discarded etc. This should *not* be hardcoded, so using a new executable # will require a bit of effort here .... ifos = science_segs.keys() tmplt_bank_exe = os.path.basename(cp.get('executables', 'tmpltbank')) # Select the appropriate class exe_class = select_tmpltbank_class(tmplt_bank_exe) # The exe instance needs to know what data segments are analysed, what is # discarded etc. This should *not* be hardcoded, so using a new executable # will require a bit of effort here .... if link_to_matchedfltr: # Use this to ensure that inspiral and tmpltbank jobs overlap. This # means that there will be 1 inspiral job for every 1 tmpltbank and # the data read in by both will overlap as much as possible. (If you # ask the template bank jobs to use 2000s of data for PSD estimation # and the matched-filter jobs to use 4000s, you will end up with # twice as many matched-filter jobs that still use 4000s to estimate a # PSD but then only generate triggers in the 2000s of data that the # template bank jobs ran on. tmpltbank_exe = os.path.basename(cp.get('executables', 'inspiral')) link_exe_instance = select_matchedfilter_class(tmpltbank_exe) else: link_exe_instance = None # Set up class for holding the banks tmplt_banks = FileList([]) # Template banks are independent for different ifos, but might not be! # Begin with independent case and add after FIXME for ifo in ifos: job_instance = exe_class(workflow.cp, 'tmpltbank', ifo=ifo, out_dir=output_dir, tags=tags) # Check for the write_psd flag if cp.has_option_tags("workflow-tmpltbank", "tmpltbank-write-psd-file", tags): job_instance.write_psd = True else: job_instance.write_psd = False if link_exe_instance: link_job_instance = link_exe_instance(cp, 'inspiral', ifo=ifo, out_dir=output_dir, tags=tags) else: link_job_instance = None sngl_ifo_job_setup(workflow, ifo, tmplt_banks, job_instance, science_segs[ifo], datafind_outs, link_job_instance=link_job_instance, allow_overlap=True, compatibility_mode=compatibility_mode) return tmplt_banks def setup_tmpltbank_without_frames(workflow, output_dir, tags=None, independent_ifos=False, psd_files=None): ''' Setup CBC workflow to use a template bank (or banks) that are generated in the workflow, but do not use the data to estimate a PSD, and therefore do not vary over the duration of the workflow. This can either generate one bank that is valid for all ifos at all times, or multiple banks that are valid only for a single ifo at all times (one bank per ifo). Parameters ---------- workflow: pycbc.workflow.core.Workflow An instanced class that manages the constructed workflow. output_dir : path string The directory where the template bank outputs will be placed. tags : list of strings If given these tags are used to uniquely name and identify output files that would be produced in multiple calls to this function. independent_ifos : Boolean, optional (default=False) If given this will produce one template bank per ifo. If not given there will be on template bank to cover all ifos. psd_file : pycbc.workflow.core.FileList The file list containing predefined PSDs, if provided. Returns -------- tmplt_banks : pycbc.workflow.core.FileList The FileList holding the details of the template bank(s). ''' if tags is None: tags = [] cp = workflow.cp # Need to get the exe to figure out what sections are analysed, what is # discarded etc. This should *not* be hardcoded, so using a new executable # will require a bit of effort here .... ifos = workflow.ifos fullSegment = workflow.analysis_time tmplt_bank_exe = os.path.basename(cp.get('executables','tmpltbank')) # Can not use lalapps_template bank with this if tmplt_bank_exe == 'lalapps_tmpltbank': errMsg = "Lalapps_tmpltbank cannot be used to generate template banks " errMsg += "without using frames. Try another code." raise ValueError(errMsg) # Select the appropriate class exe_instance = select_tmpltbank_class(tmplt_bank_exe) tmplt_banks = FileList([]) # Make the distinction between one bank for all ifos and one bank per ifo if independent_ifos: ifoList = [ifo for ifo in ifos] else: ifoList = [[ifo for ifo in ifos]] # Check for the write_psd flag if cp.has_option_tags("workflow-tmpltbank", "tmpltbank-write-psd-file", tags): exe_instance.write_psd = True else: exe_instance.write_psd = False for ifo in ifoList: job_instance = exe_instance(workflow.cp, 'tmpltbank', ifo=ifo, out_dir=output_dir, tags=tags, psd_files=psd_files) node = job_instance.create_nodata_node(fullSegment) workflow.add_node(node) tmplt_banks += node.output_files return tmplt_banks def setup_tmpltbank_pregenerated(workflow, tags=None): ''' Setup CBC workflow to use a pregenerated template bank. The bank given in cp.get('workflow','pregenerated-template-bank') will be used as the input file for all matched-filtering jobs. If this option is present, workflow will assume that it should be used and not generate template banks within the workflow. Parameters ---------- workflow: pycbc.workflow.core.Workflow An instanced class that manages the constructed workflow. tags : list of strings If given these tags are used to uniquely name and identify output files that would be produced in multiple calls to this function. Returns -------- tmplt_banks : pycbc.workflow.core.FileList The FileList holding the details of the template bank. ''' if tags is None: tags = [] # Currently this uses the *same* fixed bank for all ifos. # Maybe we want to add capability to analyse separate banks in all ifos? # Set up class for holding the banks tmplt_banks = FileList([]) cp = workflow.cp global_seg = workflow.analysis_time user_tag = "PREGEN_TMPLTBANK" try: # First check if we have a bank for all ifos pre_gen_bank = cp.get_opt_tags('workflow-tmpltbank', 'tmpltbank-pregenerated-bank', tags) pre_gen_bank = resolve_url(pre_gen_bank) file_url = urlparse.urljoin('file:', urllib.pathname2url(pre_gen_bank)) curr_file = File(workflow.ifos, user_tag, global_seg, file_url, tags=tags) curr_file.PFN(file_url, site='local') tmplt_banks.append(curr_file) except ConfigParser.Error: # Okay then I must have banks for each ifo for ifo in workflow.ifos: try: pre_gen_bank = cp.get_opt_tags('workflow-tmpltbank', 'tmpltbank-pregenerated-bank-%s' % ifo.lower(), tags) pre_gen_bank = resolve_url(pre_gen_bank) file_url = urlparse.urljoin('file:', urllib.pathname2url(pre_gen_bank)) curr_file = File(ifo, user_tag, global_seg, file_url, tags=tags) curr_file.PFN(file_url, site='local') tmplt_banks.append(curr_file) except ConfigParser.Error: err_msg = "Cannot find pregerated template bank in section " err_msg += "[workflow-tmpltbank] or any tagged sections. " if tags: tagged_secs = " ".join("[workflow-tmpltbank-%s]" \ %(ifo,) for ifo in workflow.ifos) err_msg += "Tagged sections are %s. " %(tagged_secs,) err_msg += "I looked for 'tmpltbank-pregenerated-bank' option " err_msg += "and 'tmpltbank-pregenerated-bank-%s'." %(ifo,) raise ConfigParser.Error(err_msg) return tmplt_banks