def testRangeStepSansDirection(self): "give step and no directon" df = Datefile(datetime.strptime('2009-10-31', '%Y-%m-%d'), persistence_file=self.persistence_file, step=30) start, end = df.get_date_range() self.assertEquals(start.strftime('%Y-%m-%d'), '2009-10-02') self.assertEquals(end.strftime('%Y-%m-%d'), '2009-10-31')
def testRangeSansFile(self): "range w/o step" df = Datefile(datetime.strptime('2009-10-31', '%Y-%m-%d')) start, end = df.get_date_range() self.assertEquals(start.strftime('%Y-%m-%d'), '2009-10-31') self.assertEquals(end.strftime('%Y-%m-%d'), '2009-10-31')
def testRangeSansStep(self): "range w/o step" df = Datefile(datetime.strptime('2009-10-31', '%Y-%m-%d'), persistence_file=self.persistence_file, direction='forwards') start, end = df.get_date_range() self.assertEquals(start.strftime('%Y-%m-%d'), '2009-10-31') self.assertEquals(end.strftime('%Y-%m-%d'), '2009-10-31')
def testStep(self): df = Datefile(datetime.strptime('2009-01-01', '%Y-%m-%d'), persistence_file=self.persistence_file, direction='backwards', step=10) self.assertEquals(df.get_date().strftime('%Y-%m-%d'), '2009-01-01') df.bump_date() self.assertEquals(df.get_date().strftime('%Y-%m-%d'), '2008-12-22')
def testStepDatesFwd(self): "steping forward, end date should be step-1 days after start" df = Datefile(datetime.strptime('2009-02-01', '%Y-%m-%d'), persistence_file=self.persistence_file, direction='forwards', step=10) start, end = df.get_date_range() self.assertEquals(start.strftime('%Y-%m-%d'), '2009-02-01') self.assertEquals(end.strftime('%Y-%m-%d'), '2009-02-10')
def testForwards(self): df = Datefile(datetime.strptime('2009-01-01', '%Y-%m-%d'), persistence_file=self.persistence_file, direction='forwards') self.assertEquals(df.get_date().strftime('%Y-%m-%d'), '2009-01-01') df.bump_date() self.assertEquals(df.get_date().strftime('%Y-%m-%d'), '2009-01-02')
def testStepDatesBack(self): "steping backward, end date should be step-1 days before start" df = Datefile(datetime.strptime('2009-01-31', '%Y-%m-%d'), persistence_file=self.persistence_file, direction='backwards', step=10) start, end = df.get_date_range() self.assertEquals(start.strftime('%Y-%m-%d'), '2009-01-22') self.assertEquals(end.strftime('%Y-%m-%d'), '2009-01-31')
def testInitialDate(self): # write a date to the file, then call with a different initial # date. should get the date from the file. with open(self.persistence_file, 'w') as p_file: p_file.write('2009-06-06') df = Datefile(datetime.strptime('2009-01-01', '%Y-%m-%d'), persistence_file=self.persistence_file, direction='backwards') self.assertEquals(df.get_date().strftime('%Y-%m-%d'), '2009-06-06') df.bump_date() self.assertEquals(df.get_date().strftime('%Y-%m-%d'), '2009-06-05')
def __init__(self, data_warehouse=None, data_mart=None, reportDate=None, database_user=None, database_password=None, verbosity=0): self.data_warehouse = data_warehouse self.warehouse_port = 5432 # postgres default self.data_mart = data_mart self.mart_port = 5432 # postgres default self.reportDate = reportDate and parseDate(reportDate) or None self.database_user = database_user self.database_password = database_password self.dir, thisFile = os.path.split(__file__) self.verbosity = verbosity self.queue = JoinableQueue() self.datefile = "/tmp/longitudinal_datefile" self.datePersistence = Datefile(initial_date=self.reportDate) self.lock = FileLock(LOCKFILE) self.skip_prep = False
def testNoDirection(self): df = Datefile(datetime.now()) self.assert_(df.get_date(), "Even w/o direction, should get " "initial date back") datebefore = df.get_date() df.bump_date() dateafter = df.get_date() self.assertEquals(datebefore, dateafter)
def processArgs(self): """ Process any optional arguments and possitional parameters """ parser = OptionParser(usage=usage) parser.add_option("-c", "--countdown", dest="countdown", default=None, help="count {down,up} date using date string in "\ "%s - set to 'forwards' or 'backwards' "\ "if desired" % self.datefile) parser.add_option("-d", "--date", dest="date", default=None, help="single admission date to dedup "\ "(by default, checks the entire database)") parser.add_option("-s", "--skip-prep", dest="skip_prep", default=False, action="store_true", help="skip the expense of looking for new "\ "messages") parser.add_option("-v", "--verbose", dest="verbosity", action="count", default=self.verbosity, help="increase output verbosity") parser.add_option("-m", "--mart-port", dest="mart_port", default=self.mart_port, type="int", help="alternate port number for data mart") parser.add_option("-w", "--warehouse-port", dest="warehouse_port", default=self.warehouse_port, type="int", help="alternate port number for data warehouse") (options, args) = parser.parse_args() if len(args) != 2: parser.error("incorrect number of arguments") self.data_warehouse = args[0] self.data_mart = args[1] self.warehouse_port = parser.values.warehouse_port self.mart_port = parser.values.mart_port self.verbosity = parser.values.verbosity self.skip_prep = parser.values.skip_prep initial_date = parser.values.date and \ parseDate(parser.values.date) or None self.datePersistence = Datefile(initial_date=initial_date, persistence_file=self.datefile, direction=parser.values.countdown) self.reportDate = self.datePersistence.get_date()
def testStepDatesBackThrice(self): "steping backward three times, duplication avoided?" df = Datefile(datetime.strptime('2011-04-30', '%Y-%m-%d'), persistence_file=self.persistence_file, direction='backwards', step=10) start, end = df.get_date_range() self.assertEquals(start.strftime('%Y-%m-%d'), '2011-04-21') self.assertEquals(end.strftime('%Y-%m-%d'), '2011-04-30') df.bump_date() start, end = df.get_date_range() self.assertEquals(start.strftime('%Y-%m-%d'), '2011-04-11') self.assertEquals(end.strftime('%Y-%m-%d'), '2011-04-20') df.bump_date() start, end = df.get_date_range() self.assertEquals(start.strftime('%Y-%m-%d'), '2011-04-01') self.assertEquals(end.strftime('%Y-%m-%d'), '2011-04-10')
def testBackwards(self): df = Datefile(datetime.strptime('2009-01-01', '%Y-%m-%d'), persistence_file=self.persistence_file, direction='backwards') self.assertEquals(df.get_date().strftime('%Y-%m-%d'), '2009-01-01') df.bump_date() self.assertEquals(df.get_date().strftime('%Y-%m-%d'), '2008-12-31')
def __init__( self, data_warehouse=None, data_mart=None, reportDate=None, database_user=None, database_password=None, verbosity=0, ): self.data_warehouse = data_warehouse self.warehouse_port = 5432 # postgres default self.data_mart = data_mart self.mart_port = 5432 # postgres default self.reportDate = reportDate and parseDate(reportDate) or None self.database_user = database_user self.database_password = database_password self.dir, thisFile = os.path.split(__file__) self.verbosity = verbosity self.queue = JoinableQueue() self.datefile = "/tmp/longitudinal_datefile" self.datePersistence = Datefile(initial_date=self.reportDate) self.lock = FileLock(LOCKFILE) self.skip_prep = False
class LongitudinalManager(object): """ Abstraction to handle which db, user, etc. the deduplication process should be run on. Handles runtime arguments and execution. Manages the process by farming out the individual visit deduplication to a number of worker processes (necessary to take advatage of multi-core processor and database as the limiting factor). """ # The gating issue is the number of postgres connections that are # allowed to run concurrently. Setting this to N-1 (where N is # the number of cores) has proven the fastest and most reliable. NUM_PROCS = 5 def __init__( self, data_warehouse=None, data_mart=None, reportDate=None, database_user=None, database_password=None, verbosity=0, ): self.data_warehouse = data_warehouse self.warehouse_port = 5432 # postgres default self.data_mart = data_mart self.mart_port = 5432 # postgres default self.reportDate = reportDate and parseDate(reportDate) or None self.database_user = database_user self.database_password = database_password self.dir, thisFile = os.path.split(__file__) self.verbosity = verbosity self.queue = JoinableQueue() self.datefile = "/tmp/longitudinal_datefile" self.datePersistence = Datefile(initial_date=self.reportDate) self.lock = FileLock(LOCKFILE) self.skip_prep = False def __call__(self): return self.execute() def processArgs(self): """ Process any optional arguments and possitional parameters """ parser = OptionParser(usage=usage) parser.add_option( "-c", "--countdown", dest="countdown", default=None, help="count {down,up} date using date string in " "%s - set to 'forwards' or 'backwards' " "if desired" % self.datefile, ) parser.add_option( "-d", "--date", dest="date", default=None, help="single admission date to dedup " "(by default, checks the entire database)", ) parser.add_option( "-s", "--skip-prep", dest="skip_prep", default=False, action="store_true", help="skip the expense of looking for new " "messages", ) parser.add_option( "-v", "--verbose", dest="verbosity", action="count", default=self.verbosity, help="increase output verbosity", ) parser.add_option( "-m", "--mart-port", dest="mart_port", default=self.mart_port, type="int", help="alternate port number for data mart", ) parser.add_option( "-w", "--warehouse-port", dest="warehouse_port", default=self.warehouse_port, type="int", help="alternate port number for data warehouse", ) (options, args) = parser.parse_args() if len(args) != 2: parser.error("incorrect number of arguments") self.data_warehouse = args[0] self.data_mart = args[1] self.warehouse_port = parser.values.warehouse_port self.mart_port = parser.values.mart_port self.verbosity = parser.values.verbosity self.skip_prep = parser.values.skip_prep initial_date = parser.values.date and parseDate(parser.values.date) or None self.datePersistence = Datefile( initial_date=initial_date, persistence_file=self.datefile, direction=parser.values.countdown ) self.reportDate = self.datePersistence.get_date() def _prepDeduplicateTables(self): """ Add any missing rows to the MessageProcessed table This is the bridge between the data warehouse and the data mart. In an effort to make the data mart independent of the warehouse, the processed message data is kept in the mart. As we're dealing with two distinct databases, there's no referential integrity available at the database level, so care should be taken. """ startTime = time.time() logging.info("Starting INSERT INTO internal_message_processed " "at %s", startTime) # We can take advantage of an "add only" data_warehouse, # knowing the hl7_msh_id is a sequence moving in the positive # direction. Simply add any values greater than the previous # max. stmt = "SELECT max(hl7_msh_id) from internal_message_processed" max_id = self.data_mart_access.engine.execute(stmt).first()[0] if not max_id: max_id = 0 new_msgs = list() stmt = ( """SELECT hl7_msh_id, message_datetime, visit_id FROM hl7_msh JOIN hl7_visit USING (hl7_msh_id) WHERE hl7_msh_id > %d """ % max_id ) rs = self.data_warehouse_access.engine.execute(stmt) many = 500 while True: results = rs.fetchmany(many) if not results: break for r in results: new_msgs.append(MessageProcessed(hl7_msh_id=r[0], message_datetime=r[1], visit_id=r[2])) self.data_mart_access.session.add_all(new_msgs) self.data_mart_access.session.commit() logging.debug("added %d new messages" % len(new_msgs)) new_msgs = list() logging.info("Added new rows to internal_message_processed in %s", time.time() - startTime) def _visitsToProcess(self): """ Look up all distinct visit ids needing attention Obtain unique list of visit_ids that have messages that haven't previously been processed. If the user requested just one days worth (i.e. -d) only that days visits will be returned. """ visit_ids = list() if not self.reportDate: logging.info("Launch deduplication for entire database") # Do the whole batch, that is, all that haven't been # processed before. stmt = """SELECT DISTINCT(visit_id) FROM internal_message_processed WHERE processed_datetime IS NULL""" rs = self.data_mart_access.engine.execute(stmt) many = 10000 while True: results = rs.fetchmany(many) if not results: break for r in results: visit_ids.append(r[0]) else: logging.info("Launch deduplication for %s", self.reportDate) # Process the requested day only - as we can't join across # db boundaries - first acquire the full list of visits # for the requested day from the data_warehouse to use in # a massive 'in' clause stmt = """SELECT DISTINCT(visit_id) FROM hl7_visit WHERE admit_datetime BETWEEN '%s' AND '%s';""" % ( self.reportDate, self.reportDate + timedelta(days=1), ) self.access.raw_query(stmt) rs = self.data_warehouse_access.engine.execute(stmt) many = 1000 potential_visit_ids = list() while True: results = rs.fetchmany(many) if not results: break for r in results: # tmp_table.insert(r[0]) potential_visit_ids.append(r[0]) if potential_visit_ids: query = ( self.data_mart_access.session.query(MessageProcessed.visit_id) .distinct() .filter( and_( MessageProcessed.processed_datetime == None, MessageProcessed.visit_id.in_(potential_visit_ids), ) ) ) for r in query: visit_ids.append(r[0]) logging.info("Found %d visits needing attention", len(visit_ids)) return visit_ids def tearDown(self): """ Clean up any open handles/connections """ # now done in execute when we're done with teh connections def execute(self): """ Start the process """ # Initialize logging now (verbosity is now set regardless of # invocation method) configure_logging(verbosity=self.verbosity, logfile="longitudinal-manager.log") logging.info("Initiate deduplication for %s", (self.reportDate and self.reportDate or "whole database")) # Only allow one instance of the manager to run at a time. if self.lock.is_locked(): logging.warn("Can't continue, %s is locked ", LOCKFILE) return if systemUnderLoad(): logging.warn("system under load - continue anyhow") try: self.lock.acquire() self.access = DirectAccess( database=self.data_warehouse, port=self.warehouse_port, user=self.database_user, password=self.database_password, ) self.data_warehouse_access = AlchemyAccess( database=self.data_warehouse, port=self.warehouse_port, user=self.database_user, password=self.database_password, ) self.data_mart_access = AlchemyAccess( database=self.data_mart, port=self.mart_port, user=self.database_user, password=self.database_password ) startTime = time.time() if not self.skip_prep: self._prepDeduplicateTables() visits_to_process = self._visitsToProcess() # Now done with db access needs at the manager level # free up resources: self.data_mart_access.disconnect() self.data_warehouse_access.disconnect() self.access.close() # Set of locks used, one for each table needing protection # from asynchronous inserts. Names should match table # minus 'dim_' prefix, plus '_lock' suffix # i.e. dim_location -> 'location_lock' table_locks = { "admission_source_lock": Lock(), "admission_o2sat_lock": Lock(), "admission_temp_lock": Lock(), "assigned_location_lock": Lock(), "admit_reason_lock": Lock(), "chief_complaint_lock": Lock(), "diagnosis_lock": Lock(), "disposition_lock": Lock(), "flu_vaccine_lock": Lock(), "h1n1_vaccine_lock": Lock(), "lab_flag_lock": Lock(), "lab_result_lock": Lock(), "location_lock": Lock(), "note_lock": Lock(), "order_number_lock": Lock(), "performing_lab_lock": Lock(), "pregnancy_lock": Lock(), "race_lock": Lock(), "reference_range_lock": Lock(), "service_area_lock": Lock(), "specimen_source_lock": Lock(), } # If we have visits to process, fire up the workers... if len(visits_to_process) > 1: for i in range(self.NUM_PROCS): dw = Process( target=LongitudinalWorker, kwargs={ "queue": self.queue, "procNumber": i, "data_warehouse": self.data_warehouse, "warehouse_port": self.warehouse_port, "data_mart": self.data_mart, "mart_port": self.mart_port, "dbUser": self.database_user, "dbPass": self.database_password, "table_locks": table_locks, "verbosity": self.verbosity, }, ) dw.daemon = True dw.start() # Populate the queue for v in visits_to_process: self.queue.put(v) # Wait on the queue until empty self.queue.join() # Common cleanup self.tearDown() self.datePersistence.bump_date() logging.info("Queue is empty - done in %s", time.time() - startTime) finally: self.lock.release()
def testDefaultAccess(self): df = Datefile(initial_date=datetime.strptime('2009-01-01', '%Y-%m-%d')) self.assertEquals(df.get_date().strftime('%Y-%m-%d'), '2009-01-01')
def process_args(self): """Process any optional arguments and possitional parameters Using the values provided, assemble ReportCriteria and Datefile instances to control report generation. """ parser = OptionParser(usage=usage) # Provide the ReportCriteria instance an error callback so any # command line errors provoke the standard graceful exit with # warning text. self.criteria.error_callback = parser.error parser.add_option("-u", "--user", dest="user", default=self.user, help="database user") parser.add_option("-p", "--password", dest="password", default=self.password, help="database password, or file containing "\ "just the password") parser.add_option("-c", "--countdown", dest="countdown", default=None, help="count {down,up} the start and end dates "\ "set to 'forwards' or 'backwards' "\ "if desired") parser.add_option("-i", "--include-updates", action='store_true', dest="includeUpdates", default=False, help="include "\ "visits updated since last similar report") parser.add_option("--include-vitals", action='store_true', dest="includeVitals", default=False, help="include "\ "vitals (measured temperature, O2 "\ "saturation, influenza and H1N1 vaccine "\ "data) as additional columns in the "\ "report") parser.add_option("-k", "--patient-class", dest="patient_class", default=None, help="use "\ "to filter report on a specific patient "\ "class [E,I,O]") parser.add_option("-r", "--region", dest="region", default=None, help="reportable region defining limited set "\ "of facilities to include, by default "\ "all facilities are included") parser.add_option("-s", "--save-and-upload", action='store_true', dest="save_upload", default=False, help="save file and upload to "\ "DOH") parser.add_option("-x", "--save-without-upload", action='store_true', dest="save_only", default=False, help="save file but don't upload") parser.add_option("-d", "--upload-diff", action='store_true', dest="upload_diff", default=False, help="upload differences only "\ "(from yesterdays like report) to DOH") parser.add_option("-t", "--thirty-days", action='store_true', dest="thirty_days", default=False, help="include 30 days up to "\ "requested date ") parser.add_option("-v", "--verbose", dest="verbosity", action="count", default=self.verbosity, help="increase output verbosity") (options, args) = parser.parse_args() if len(args) != 2: parser.error("incorrect number of arguments") # Database to query self.criteria.database = args[0] self.user = options.user self.password = options.password self.criteria.credentials(user=self.user, password=self.password) # Potential region restriction self.criteria.reportable_region = options.region # Potential patient class restriction self.criteria.patient_class = options.patient_class # Potential to include vitals (not tied to gipse format) self.criteria.include_vitals = options.includeVitals # Potential inclusion of updates self.criteria.include_updates = options.includeUpdates # Report date(s) and potential step direction. # NB - several options affect report_method and must be set # first! initial_date = parseDate(args[1]) config = Config() ps_file = os.path.join(config.get('general', 'tmp_dir', default='/tmp'), self.criteria.report_method) step = options.thirty_days and 30 or None direction = options.countdown self.datefile = Datefile(initial_date=initial_date, persistence_file=ps_file, direction=direction, step=step) self.criteria.start_date, self.criteria.end_date =\ self.datefile.get_date_range() # What to do once report is completed. Complicated, protect # user from themselves! self.save_report = options.save_upload or \ options.save_only or options.upload_diff self.transmit_report = options.save_upload self.transmit_differences = options.upload_diff if options.save_only and options.save_upload: parser.error("save-without-upload and save-and-upload "\ "are mutually exclusive") if options.save_only and options.upload_diff: parser.error("save-without-upload and upload-diff "\ "are mutually exclusive") if options.upload_diff and options.save_upload: parser.error("upload-diff and save-and-upload"\ "are mutually exclusive") # Can't transmit w/o saving if options.save_upload or options.upload_diff: assert(self.save_report) # Sanity check if options.save_only: assert(self.save_report and not self.transmit_report and not self.transmit_differences) # How verbosely to log self.verbosity = options.verbosity
def processArgs(self): """ Process any optional arguments and possitional parameters """ parser = OptionParser(usage=usage) parser.add_option( "-c", "--countdown", dest="countdown", default=None, help="count {down,up} date using date string in " "%s - set to 'forwards' or 'backwards' " "if desired" % self.datefile, ) parser.add_option( "-d", "--date", dest="date", default=None, help="single admission date to dedup " "(by default, checks the entire database)", ) parser.add_option( "-s", "--skip-prep", dest="skip_prep", default=False, action="store_true", help="skip the expense of looking for new " "messages", ) parser.add_option( "-v", "--verbose", dest="verbosity", action="count", default=self.verbosity, help="increase output verbosity", ) parser.add_option( "-m", "--mart-port", dest="mart_port", default=self.mart_port, type="int", help="alternate port number for data mart", ) parser.add_option( "-w", "--warehouse-port", dest="warehouse_port", default=self.warehouse_port, type="int", help="alternate port number for data warehouse", ) (options, args) = parser.parse_args() if len(args) != 2: parser.error("incorrect number of arguments") self.data_warehouse = args[0] self.data_mart = args[1] self.warehouse_port = parser.values.warehouse_port self.mart_port = parser.values.mart_port self.verbosity = parser.values.verbosity self.skip_prep = parser.values.skip_prep initial_date = parser.values.date and parseDate(parser.values.date) or None self.datePersistence = Datefile( initial_date=initial_date, persistence_file=self.datefile, direction=parser.values.countdown ) self.reportDate = self.datePersistence.get_date()
def testDefaultAccess(self): df = Datefile(initial_date= datetime.strptime('2009-01-01', '%Y-%m-%d')) self.assertEquals(df.get_date().strftime('%Y-%m-%d'), '2009-01-01')
def process_args(self): """Process any optional arguments and possitional parameters Using the values provided, assemble ReportCriteria and Datefile instances to control report generation. """ parser = OptionParser(usage=usage) # Provide the ReportCriteria instance an error callback so any # command line errors provoke the standard graceful exit with # warning text. self.criteria.error_callback = parser.error parser.add_option("-u", "--user", dest="user", default=self.user, help="database user") parser.add_option("-p", "--password", dest="password", default=self.password, help="database password, or file containing "\ "just the password") parser.add_option("-c", "--countdown", dest="countdown", default=None, help="count {down,up} the start and end dates "\ "set to 'forwards' or 'backwards' "\ "if desired") parser.add_option("-i", "--include-updates", action='store_true', dest="includeUpdates", default=False, help="include "\ "visits updated since last similar report") parser.add_option("--include-vitals", action='store_true', dest="includeVitals", default=False, help="include "\ "vitals (measured temperature, O2 "\ "saturation, influenza and H1N1 vaccine "\ "data) as additional columns in the "\ "report") parser.add_option("-k", "--patient-class", dest="patient_class", default=None, help="use "\ "to filter report on a specific patient "\ "class [E,I,O]") parser.add_option("-r", "--region", dest="region", default=None, help="reportable region defining limited set "\ "of facilities to include, by default "\ "all facilities are included") parser.add_option("-s", "--save-and-upload", action='store_true', dest="save_upload", default=False, help="save file and upload to "\ "DOH") parser.add_option("-x", "--save-without-upload", action='store_true', dest="save_only", default=False, help="save file but don't upload") parser.add_option("-d", "--upload-diff", action='store_true', dest="upload_diff", default=False, help="upload differences only "\ "(from yesterdays like report) to DOH") parser.add_option("-t", "--thirty-days", action='store_true', dest="thirty_days", default=False, help="include 30 days up to "\ "requested date ") parser.add_option("-v", "--verbose", dest="verbosity", action="count", default=self.verbosity, help="increase output verbosity") (options, args) = parser.parse_args() if len(args) != 2: parser.error("incorrect number of arguments") # Database to query self.criteria.database = args[0] self.user = options.user self.password = options.password self.criteria.credentials(user=self.user, password=self.password) # Potential region restriction self.criteria.reportable_region = options.region # Potential patient class restriction self.criteria.patient_class = options.patient_class # Potential to include vitals (not tied to gipse format) self.criteria.include_vitals = options.includeVitals # Potential inclusion of updates self.criteria.include_updates = options.includeUpdates # Report date(s) and potential step direction. # NB - several options affect report_method and must be set # first! initial_date = parseDate(args[1]) config = Config() ps_file = os.path.join( config.get('general', 'tmp_dir', default='/tmp'), self.criteria.report_method) step = options.thirty_days and 30 or None direction = options.countdown self.datefile = Datefile(initial_date=initial_date, persistence_file=ps_file, direction=direction, step=step) self.criteria.start_date, self.criteria.end_date =\ self.datefile.get_date_range() # What to do once report is completed. Complicated, protect # user from themselves! self.save_report = options.save_upload or \ options.save_only or options.upload_diff self.transmit_report = options.save_upload self.transmit_differences = options.upload_diff if options.save_only and options.save_upload: parser.error("save-without-upload and save-and-upload "\ "are mutually exclusive") if options.save_only and options.upload_diff: parser.error("save-without-upload and upload-diff "\ "are mutually exclusive") if options.upload_diff and options.save_upload: parser.error("upload-diff and save-and-upload"\ "are mutually exclusive") # Can't transmit w/o saving if options.save_upload or options.upload_diff: assert (self.save_report) # Sanity check if options.save_only: assert (self.save_report and not self.transmit_report and not self.transmit_differences) # How verbosely to log self.verbosity = options.verbosity
class LongitudinalManager(object): """ Abstraction to handle which db, user, etc. the deduplication process should be run on. Handles runtime arguments and execution. Manages the process by farming out the individual visit deduplication to a number of worker processes (necessary to take advatage of multi-core processor and database as the limiting factor). """ # The gating issue is the number of postgres connections that are # allowed to run concurrently. Setting this to N-1 (where N is # the number of cores) has proven the fastest and most reliable. NUM_PROCS = 5 def __init__(self, data_warehouse=None, data_mart=None, reportDate=None, database_user=None, database_password=None, verbosity=0): self.data_warehouse = data_warehouse self.warehouse_port = 5432 # postgres default self.data_mart = data_mart self.mart_port = 5432 # postgres default self.reportDate = reportDate and parseDate(reportDate) or None self.database_user = database_user self.database_password = database_password self.dir, thisFile = os.path.split(__file__) self.verbosity = verbosity self.queue = JoinableQueue() self.datefile = "/tmp/longitudinal_datefile" self.datePersistence = Datefile(initial_date=self.reportDate) self.lock = FileLock(LOCKFILE) self.skip_prep = False def __call__(self): return self.execute() def processArgs(self): """ Process any optional arguments and possitional parameters """ parser = OptionParser(usage=usage) parser.add_option("-c", "--countdown", dest="countdown", default=None, help="count {down,up} date using date string in "\ "%s - set to 'forwards' or 'backwards' "\ "if desired" % self.datefile) parser.add_option("-d", "--date", dest="date", default=None, help="single admission date to dedup "\ "(by default, checks the entire database)") parser.add_option("-s", "--skip-prep", dest="skip_prep", default=False, action="store_true", help="skip the expense of looking for new "\ "messages") parser.add_option("-v", "--verbose", dest="verbosity", action="count", default=self.verbosity, help="increase output verbosity") parser.add_option("-m", "--mart-port", dest="mart_port", default=self.mart_port, type="int", help="alternate port number for data mart") parser.add_option("-w", "--warehouse-port", dest="warehouse_port", default=self.warehouse_port, type="int", help="alternate port number for data warehouse") (options, args) = parser.parse_args() if len(args) != 2: parser.error("incorrect number of arguments") self.data_warehouse = args[0] self.data_mart = args[1] self.warehouse_port = parser.values.warehouse_port self.mart_port = parser.values.mart_port self.verbosity = parser.values.verbosity self.skip_prep = parser.values.skip_prep initial_date = parser.values.date and \ parseDate(parser.values.date) or None self.datePersistence = Datefile(initial_date=initial_date, persistence_file=self.datefile, direction=parser.values.countdown) self.reportDate = self.datePersistence.get_date() def _prepDeduplicateTables(self): """ Add any missing rows to the MessageProcessed table This is the bridge between the data warehouse and the data mart. In an effort to make the data mart independent of the warehouse, the processed message data is kept in the mart. As we're dealing with two distinct databases, there's no referential integrity available at the database level, so care should be taken. """ startTime = time.time() logging.info("Starting INSERT INTO internal_message_processed " "at %s", startTime) # We can take advantage of an "add only" data_warehouse, # knowing the hl7_msh_id is a sequence moving in the positive # direction. Simply add any values greater than the previous # max. stmt = "SELECT max(hl7_msh_id) from internal_message_processed" max_id = self.data_mart_access.engine.execute(stmt).first()[0] if not max_id: max_id = 0 new_msgs = list() stmt = """SELECT hl7_msh_id, message_datetime, visit_id FROM hl7_msh JOIN hl7_visit USING (hl7_msh_id) WHERE hl7_msh_id > %d """ % max_id rs = self.data_warehouse_access.engine.execute(stmt) many = 500 while True: results = rs.fetchmany(many) if not results: break for r in results: new_msgs.append(MessageProcessed(hl7_msh_id=r[0], message_datetime=r[1], visit_id=r[2])) self.data_mart_access.session.add_all(new_msgs) self.data_mart_access.session.commit() logging.debug("added %d new messages" % len(new_msgs)) new_msgs = list() logging.info("Added new rows to internal_message_processed in %s", time.time() - startTime) def _visitsToProcess(self): """ Look up all distinct visit ids needing attention Obtain unique list of visit_ids that have messages that haven't previously been processed. If the user requested just one days worth (i.e. -d) only that days visits will be returned. """ visit_ids = list() if not self.reportDate: logging.info("Launch deduplication for entire database") # Do the whole batch, that is, all that haven't been # processed before. stmt = """SELECT DISTINCT(visit_id) FROM internal_message_processed WHERE processed_datetime IS NULL""" rs = self.data_mart_access.engine.execute(stmt) many = 10000 while True: results = rs.fetchmany(many) if not results: break for r in results: visit_ids.append(r[0]) else: logging.info("Launch deduplication for %s", self.reportDate) # Process the requested day only - as we can't join across # db boundaries - first acquire the full list of visits # for the requested day from the data_warehouse to use in # a massive 'in' clause stmt = """SELECT DISTINCT(visit_id) FROM hl7_visit WHERE admit_datetime BETWEEN '%s' AND '%s';""" %\ (self.reportDate, self.reportDate + timedelta(days=1)) self.access.raw_query(stmt) rs = self.data_warehouse_access.engine.execute(stmt) many = 1000 potential_visit_ids = list() while True: results = rs.fetchmany(many) if not results: break for r in results: #tmp_table.insert(r[0]) potential_visit_ids.append(r[0]) if potential_visit_ids: query = self.data_mart_access.session.query(\ MessageProcessed.visit_id).distinct().\ filter(and_(MessageProcessed.processed_datetime == None, MessageProcessed.visit_id.\ in_(potential_visit_ids))) for r in query: visit_ids.append(r[0]) logging.info("Found %d visits needing attention", len(visit_ids)) return visit_ids def tearDown(self): """ Clean up any open handles/connections """ # now done in execute when we're done with teh connections def execute(self): """ Start the process """ # Initialize logging now (verbosity is now set regardless of # invocation method) configure_logging(verbosity=self.verbosity, logfile="longitudinal-manager.log") logging.info("Initiate deduplication for %s", (self.reportDate and self.reportDate or "whole database")) # Only allow one instance of the manager to run at a time. if self.lock.is_locked(): logging.warn("Can't continue, %s is locked ", LOCKFILE) return if systemUnderLoad(): logging.warn("system under load - continue anyhow") try: self.lock.acquire() self.access = DirectAccess(database=self.data_warehouse, port=self.warehouse_port, user=self.database_user, password=self.database_password) self.data_warehouse_access = AlchemyAccess( database=self.data_warehouse, port=self.warehouse_port, user=self.database_user, password=self.database_password) self.data_mart_access = AlchemyAccess( database=self.data_mart, port=self.mart_port, user=self.database_user, password=self.database_password) startTime = time.time() if not self.skip_prep: self._prepDeduplicateTables() visits_to_process = self._visitsToProcess() # Now done with db access needs at the manager level # free up resources: self.data_mart_access.disconnect() self.data_warehouse_access.disconnect() self.access.close() # Set of locks used, one for each table needing protection # from asynchronous inserts. Names should match table # minus 'dim_' prefix, plus '_lock' suffix # i.e. dim_location -> 'location_lock' table_locks = {'admission_source_lock': Lock(), 'admission_o2sat_lock': Lock(), 'admission_temp_lock': Lock(), 'assigned_location_lock': Lock(), 'admit_reason_lock': Lock(), 'chief_complaint_lock': Lock(), 'diagnosis_lock': Lock(), 'disposition_lock': Lock(), 'flu_vaccine_lock': Lock(), 'h1n1_vaccine_lock': Lock(), 'lab_flag_lock': Lock(), 'lab_result_lock': Lock(), 'location_lock': Lock(), 'note_lock': Lock(), 'order_number_lock': Lock(), 'performing_lab_lock': Lock(), 'pregnancy_lock': Lock(), 'race_lock': Lock(), 'reference_range_lock': Lock(), 'service_area_lock': Lock(), 'specimen_source_lock': Lock(), } # If we have visits to process, fire up the workers... if len(visits_to_process) > 1: for i in range(self.NUM_PROCS): dw = Process(target=LongitudinalWorker, kwargs={'queue': self.queue, 'procNumber': i, 'data_warehouse': self.data_warehouse, 'warehouse_port': self.warehouse_port, 'data_mart': self.data_mart, 'mart_port': self.mart_port, 'dbUser': self.database_user, 'dbPass': self.database_password, 'table_locks': table_locks, 'verbosity': self.verbosity}) dw.daemon = True dw.start() # Populate the queue for v in visits_to_process: self.queue.put(v) # Wait on the queue until empty self.queue.join() # Common cleanup self.tearDown() self.datePersistence.bump_date() logging.info("Queue is empty - done in %s", time.time() - startTime) finally: self.lock.release()