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Modified code to select usecases based on integer number.

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This commit is contained in:
florez_j
2024-03-28 18:24:44 +01:00
parent 2b568ff05a
commit 942485ffc1
1 changed files with 24 additions and 14 deletions
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36
input_files/config_file.py
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@ -30,7 +30,11 @@ created_at = now_tz_aware.strftime('%Y-%m-%d')+'_UTC-OFST_' + tz
# Make created at timestamp with tz information # Make created at timestamp with tz information
#created_at = now.isoformat() #created_at = now.isoformat()
if group_id == 'smog_chamber': usecase = 1
if usecase == 1:
group_id == 'smog_chamber'
user_initials = 'NG' user_initials = 'NG'
#from smog_chamber_file_reader import read_txt_files_as_dict #from smog_chamber_file_reader import read_txt_files_as_dict
#from g5505_file_reader import copy_file_in_group #from g5505_file_reader import copy_file_in_group
@ -51,34 +55,40 @@ if group_id == 'smog_chamber':
'.TXT': scf_reader.read_txt_files_as_dict, '.TXT': scf_reader.read_txt_files_as_dict,
'.h5': g5505f_reader.copy_file_in_group} '.h5': g5505f_reader.copy_file_in_group}
elif group_id == '5505': elif usecase == 2 :
group_id == '5505'
user_initials = 'TBR' user_initials = 'TBR'
outputfile_dir = 'output_files' outputfile_dir = 'output_files'
output_filename = 'test_sls_data_v8.h5' #output_filename = 'test_sls_data_v8.h5'
inputfile_dir = '//fs101/5505/People/Juan/TypicalBeamTime' inputfile_dir = '//fs101/5505/People/Juan/TypicalBeamTime'
select_file_keywords=[] select_file_keywords=[]
select_dir_keywords = ['NEXAFS', 'Notes', 'Photos', 'Pressure', 'RGA', 'SES'] select_dir_keywords = ['NEXAFS', 'Notes', 'Photos', 'Pressure', 'RGA', 'SES']
#output_filename = output_filename_tempate(group_id,created_at,user_initials) output_filename = output_filename_tempate(group_id,created_at,user_initials)
output_filename = 'unified_file_5505_2024-03-19_UTC-OFST_+0100_TBR.h5' #output_filename = 'unified_file_5505_2024-03-19_UTC-OFST_+0100_TBR.h5'
#user_initials = 'LL' ext_to_reader_dict = {'.ibw': g5505f_reader.read_xps_ibw_file_as_dict,
#outputfile_dir = 'output_files' '.txt': g5505f_reader.read_txt_files_as_dict,
#output_filename = output_filename_tempate(group_id,created_at,user_initials) '.dat': g5505f_reader.read_txt_files_as_dict,
'.h5': g5505f_reader.copy_file_in_group}
elif usecase == 3:
user_initials = 'LL'
outputfile_dir = 'output_files'
output_filename = output_filename_tempate(group_id,created_at,user_initials)
#inputfile_dir = '//fs101/5505/Data' inputfile_dir = '//fs101/5505/Data'
#select_dir_keywords = ['Lopap', 'Humidity_Sensors', 'ICAD/HONO', 'ICAD/NO2', 'T200_NOX', 'T360U_CO2'] #select_dir_keywords = ['Lopap', 'Humidity_Sensors', 'ICAD/HONO', 'ICAD/NO2', 'T200_NOX', 'T360U_CO2']
# TODO: make sure in the code composite keywords are broken down into single keywords # TODO: make sure in the code composite keywords are broken down into single keywords
##select_dir_keywords = ['Humidity_Sensors','ICAD/HONO','ICAD/NO2'] ##select_dir_keywords = ['Humidity_Sensors','ICAD/HONO','ICAD/NO2']
#select_dir_keywords = ['Humidity_Sensors/2022','ICAD/HONO/2022','ICAD/NO2/2022', '2022/01_Jan', '2022/02_Feb', '2022/03_März'] select_dir_keywords = ['Humidity_Sensors/2022','ICAD/HONO/2022','ICAD/NO2/2022', '2022/01_Jan', '2022/02_Feb', '2022/03_März']
#dates = pd.read_excel(os.path.abspath(os.path.join('input_files','date_experiments_for Juan.xlsx'))) dates = pd.read_excel(os.path.abspath(os.path.join('input_files','date_experiments_for Juan.xlsx')))
#select_file_keywords=[item.strftime('%Y-%m-%d') for item in dates.loc[0:2,'experiment_date']] select_file_keywords=[item.strftime('%Y-%m-%d') for item in dates.loc[0:2,'experiment_date']]
#select_file_keywords= select_file_keywords + [item.strftime('%Y%m%d') for item in dates.loc[0:2,'experiment_date']] select_file_keywords= select_file_keywords + [item.strftime('%Y%m%d') for item in dates.loc[0:2,'experiment_date']]
ext_to_reader_dict = {'.ibw': g5505f_reader.read_xps_ibw_file_as_dict, ext_to_reader_dict = {'.ibw': g5505f_reader.read_xps_ibw_file_as_dict,
'.txt': g5505f_reader.read_txt_files_as_dict, '.txt': g5505f_reader.read_txt_files_as_dict,