Goal: automated and autonomous Benchtop NMR control for a microfluidic bioreactor.

1. preprocess.py
2. storeresults.py
3. peak_area.py
4. plot.py
5. analysis.py
6. live_dev.py

This preprocess.py is developed for data processing and provides the data for analysis tasks.

• The Bag_data class is responsible for loading and preprocessing the csv files, the NMR exports, each time.
• Create a new Bag_data object in destination_folder from the NMR source_folder and start_date_time.
• All csv files created after the start date in the source folder will be stored in the destination folder and renamed to Time_Gap.
• The information of all csv files will be saved as information.csv in the destination folder.
• destination_folder: where you want to save the data of the current experiment.
• source_folder: where the NMR device exports the data to.
• start_date_time: the desired start time for importing the files from source_folder.
• target_folder: where all imported csv files are located.
• information_df: The information of all imported csv files. For example:

source_1 = r'/sourefolder'
destination_1 = r'/destinationfolder'
start_date_time_1 = datetime(2021, 6, 15, 0, 0, 0, 0)
data = Bag_data(source_1, destination_1, start_date_time_1)
data.__repr__

Bag_data(2021-06-15 00:00:00)

is processed all the csv files, which are created after start_date_time:2021-06-15 00:00:00 in source_folder

This store_results.py is developed for storing results for later analysis.

• The Bag_result class is responsible for storing results (data, plots) which are from Bad_data class .
• Create a new Bag_result object from a existed bag_data instance.
• New folder Bag_result_nameoption is created, the nameoption can be change as desired.
• In the Bag_result_nameoption folder, there are datasets folder and docs folder. All later analysis should be store in here.
• save_bagresult(bagresult: Bag_result) takes a bag_result instance as input and store this bag_data in the Bag_result_nameoption folder.
• load_bagresult(destination_folder: os.path, bagresult_name: str) takes destination_folder path and bagresult_name as input. In each destination_folder, it is possible to have more than one Bag_result_nameoption instance, but in each Bag_result_nameoption there is only one bagresult.pkl
  For example:

source_1 = r'/sourefolder'
destination_1 = r'/destinationfolder'
start_date_time_1 = datetime(2021, 6, 15, 0, 0, 0, 0)
bagdata_1 = preprocess.Bag_data(source_1, destination_1, start_date_time_1)
bagdata_1.__repr__
#Bag_data(2021-06-15 00:00:00) 
# We create a bag_result instance from this bag_data
bagresult_1 = Bag_result(bagdata=bagdata_1, nameoption='_1')
# saving and loading bag_result instance
save_bagresult(bagresult= bag_result_1)
load_bagresult(destination_folder= destination_1, bagresult_name='bagresult_1')