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# useful methods to measure time performance by small pieces of code |
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from codetiming import Timer |
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# Custom package specific to this project |
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from common.BasicNeeds import BasicNeeds |
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from common.LoggingNeeds import LoggingNeeds |
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from common.FileOperations import datetime, os, FileOperations |
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from common.ParameterHandling import ParameterHandling |
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# get current script name |
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CURRENT_SCRIPT_NAME = os.path.basename(__file__).replace('.py', '') |
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SCRIPT_LANGUAGE = 'ro_RO' |
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REFERENCE_EXPRESION = 'CalculatedDate_CYCMCDCH_-48' |
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# instantiate Logger class |
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c_ln = LoggingNeeds() |
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# initiate logger |
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c_ln.initiate_logger(CURRENT_SCRIPT_NAME + '.log', CURRENT_SCRIPT_NAME) |
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# instantiate File Operations class |
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c_fo = FileOperations(SCRIPT_LANGUAGE) |
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# instantiate File Operations class |
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c_ph = ParameterHandling(SCRIPT_LANGUAGE) |
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older_to_newer_barrier = c_ph.eval_expression(c_ln.logger, REFERENCE_EXPRESION, 1) |
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barrier = datetime.strptime(older_to_newer_barrier, c_ph.output_standard_formats.get('hour')) |
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print('Older to Newer barrier is ' + str(barrier)) |
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# define global timer to use |
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t = Timer(CURRENT_SCRIPT_NAME, text = 'Time spent is {seconds}', logger = c_ln.logger.debug) |
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# pick all JSON files from this folder |
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relevant_files = c_fo.fn_build_relevant_file_list(c_ln.logger, t, |
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os.path.dirname(__file__), '*.json') |
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for current_file in relevant_files: |
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current_file_modified_datetime = datetime.fromtimestamp(os.path.getmtime(current_file)) |
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file_verdict = c_fo.fn_get_file_datetime_verdict(c_ln.logger, current_file, |
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'last modified', barrier) |
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print(current_file + ' => ' + str(current_file_modified_datetime) |
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+ ' vs. ' + str(barrier) + ' => ' + file_verdict) |
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# instantiate Basic Needs class |
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c_bn = BasicNeeds(SCRIPT_LANGUAGE) |
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# just final message |
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c_bn.fn_final_message(c_ln.logger, CURRENT_SCRIPT_NAME + '.log', |
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t.timers.total(CURRENT_SCRIPT_NAME)) |
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danielgp /
db-extractor
