Relocated from src/

2024-03-25 08:52:13 +01:00
parent 1b9963d44d
commit e934ae65d6
1 changed files with 79 additions and 0 deletions
--- a/input_files/config_file.py
+++ b/input_files/config_file.py
@ -0,0 +1,79 @@
+
+import src.smog_chamber_file_reader as scf_reader
+import src.g5505_file_reader as g5505f_reader
+from datetime import datetime
+import pandas as pd
+import os
+
+group_id = 'smog_chamber'
+
+#group_id = '5505'
+
+output_filename_tempate = lambda group_id, timestamp,user_initials : '_'.join(['unified_file',group_id,timestamp,user_initials])+'.h5'
+
+
+now = datetime.now()
+# Populate now object with time zone infotmation obtained from the local system
+now_tz_aware = now.astimezone()
+tz = now_tz_aware.strftime('%z')
+#created_at = now_tz_aware.strftime('%Y-%m-%d_%H-%M-%S')+'_utcoffset_' + tz
+created_at = now_tz_aware.strftime('%Y-%m-%d')+'_UTC-OFST_' + tz
+# Make created at timestamp with tz information
+#created_at = now.isoformat()
+
+if group_id == 'smog_chamber':
+    user_initials = 'NG'
+    #from smog_chamber_file_reader import read_txt_files_as_dict 
+    #from g5505_file_reader import copy_file_in_group
+    #select_dir_keywords = ['htof','ams', 'ptr', 'gas','smps']    
+    inputfile_dir = '\\\\fs03\\Iron_Sulphate'
+    inputfile_dir = '//fs03/Iron_Sulphate'
+    #select_dir_keywords = ['gas','smps\\20220726','htof\\2022.07.26','ptr\\2022.07.26','ams\\2022.07.26']
+    select_dir_keywords = ['gas','smps/20220726']#,'htof/2022.07.26','ptr/2022.07.26','ams/2022.07.26']
+    select_file_keywords = ['20220726','2022.07.26']
+
+    outputfile_dir = 'output_files'
+
+    #output_filename = output_filename_tempate(group_id,created_at,user_initials) #'test_smog_chamber_v14.h5'
+    output_filename = 'unified_file_smog_chamber_2024-03-19_UTC-OFST_+0100_NG.h5'
+
+
+    ext_to_reader_dict = {'.txt': scf_reader.read_txt_files_as_dict,
+                        '.TXT': scf_reader.read_txt_files_as_dict,
+                        '.h5': g5505f_reader.copy_file_in_group}
+    
+elif group_id == '5505':
+
+    user_initials = 'TBR'
+    outputfile_dir = 'output_files'
+    output_filename = 'test_sls_data_v8.h5'
+    inputfile_dir = '//fs101/5505/People/Juan/TypicalBeamTime'
+    select_file_keywords=[]
+    select_dir_keywords = ['NEXAFS', 'Notes', 'Photos', 'Pressure', 'RGA', 'SES']
+
+    #output_filename = output_filename_tempate(group_id,created_at,user_initials)
+    output_filename = 'unified_file_5505_2024-03-19_UTC-OFST_+0100_TBR.h5'
+    
+    #user_initials = 'LL'
+    #outputfile_dir = 'output_files'
+    #output_filename = output_filename_tempate(group_id,created_at,user_initials)
+    
+    #inputfile_dir = '//fs101/5505/Data'
+    
+    #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
+
+    ##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']
+    
+    #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= 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,
+                          '.txt': g5505f_reader.read_txt_files_as_dict,
+                          '.dat': g5505f_reader.read_txt_files_as_dict,
+                          '.h5': g5505f_reader.copy_file_in_group}
+    
+