hello
I give it a try even though I do not consider myself as "real expert" in file parsing...but why not try...
so here is it : result => in structure S :
there are only 5 fields because I retrieved data from file PA11 - test method only when a curve data has fields "start temp" and "heating rate" ; the tests without those fields are discarded like :
Segment 2
Temperature : 220.00 °C
Duration : 0.00 min
Sampling freq.: 1 kHz (dt = 1.0 ms)
Gas : Air, 0 ml/min
for the time being the field "results" (extract from file PA11 - test ) is only a string for the time being, but maybe you want to have it as a table or ???
that work remains to be done
fileDir = pwd; % choose your working directory
%% 1/ parsing the "PA11 - test method.txt" file
% What I would love to do is to parse the method file, and for each segment heading,
% extract the segment number, and store the experimental parameters such as
% "Start temp" and "Heating rate" as doubles in a data structure,
% which each array in the structure indexed to the segment number.
filename1 = 'PA11 - test method.txt ';
D1=readlines(fullfile(fileDir,filename1)); % read as string array
% find Segments
idx1=find(contains(D1,'Segment')); % find the Segment lines index
idx2=find(contains(D1,'Start temp')); % find the Start temp lines index
idx3=find(contains(D1,'Heating rate')); % find the Heating rate lines index
segment_numbers = str2double(extract(D1(idx2-1), digitsPattern)); %valid segments are those containing "Start temp" field (one line after)
for ci = 1:numel(segment_numbers)
S(ci).segment_number = segment_numbers(ci);
S(ci).start_temp = str2double(extractBetween(D1(idx2(ci)),':','°'));
S(ci).heating_rate = str2double(extractBetween(D1(idx3(ci)),':','K/s'));
end
%% 2/ parsing the "PA11 - test.txt" data file
% What I would love to do is to parse the method file, and for each segment heading,
% extract the segment number, and store the experimental parameters such as
% "Start temp" and "Heating rate" as doubles in a data structure,
% which each array in the structure indexed to the segment number.
filename2 = 'PA11 - test.txt '; % NB : data (Curve) are organized backwards from bottom to top of file
D2=readlines(fullfile(fileDir,filename2)); % read as string array
nb_lines = numel(D2);
% find indexes
idx4=find(contains(D2,'Curve Name:')); % find the Segment lines index
curve_number = str2double(extractBetween(D2(idx4+1),']','['));
% blocks data length
tmp = [idx4;nb_lines]; % includes indexes of lines "Curve Name:" and eof line index
start_lines = tmp(1:end-1)+3;
stop_lines = tmp(2:end)-5;
blocks_data_length = stop_lines-start_lines;
for ci = 1:numel(segment_numbers)
selected(ci) = find(curve_number==segment_numbers(ci)); % we have to it because the data are organized backwards from bottom to top of file
start_lines_selec(ci) = start_lines(selected(ci));
stop_lines_selec(ci) = stop_lines(selected(ci));
D2_extract = D2(start_lines_selec(ci):stop_lines_selec(ci));
%T(ci) = array2table(D2_extract);
% below is for : At the same time, I am trying to parse through the txt file
% containing the experimental data from each run (ie; PA11 - test.txt)
% and store the experimental data for each segment to a structure that is also indexed to the segment number.
S(ci).results = D2_extract;
end
