From 7236a0d71c356f34d80fb10c6445ef7c9a492750 Mon Sep 17 00:00:00 2001 From: gbayarri Date: Fri, 14 Jun 2024 14:14:25 +0200 Subject: [PATCH] Curves 3.0.2 and bug fixes --- .github/env.yaml | 2 +- .github/workflows/linting_and_testing.yml | 2 +- biobb_dna/backbone/bipopulations.py | 30 ++-- biobb_dna/backbone/canonicalag.py | 30 ++-- biobb_dna/backbone/puckering.py | 24 ++-- biobb_dna/curvesplus/biobb_canal.py | 41 +++--- biobb_dna/curvesplus/biobb_canion.py | 34 ++--- biobb_dna/curvesplus/biobb_curves.py | 71 ++++++---- biobb_dna/dna/dna_averages.py | 22 ++- biobb_dna/dna/dna_bimodality.py | 41 +++--- biobb_dna/dna/dna_timeseries.py | 34 ++--- biobb_dna/docs/source/command_line.md | 16 ++- biobb_dna/docs/source/readme.md | 2 +- biobb_dna/interbp_correlations/interbpcorr.py | 25 ++-- biobb_dna/interbp_correlations/interhpcorr.py | 126 +++++++++-------- .../interbp_correlations/interseqcorr.py | 19 ++- biobb_dna/intrabp_correlations/intrabpcorr.py | 27 ++-- biobb_dna/intrabp_correlations/intrahpcorr.py | 132 ++++++++++-------- .../intrabp_correlations/intraseqcorr.py | 19 ++- biobb_dna/json_schemas/biobb_canion.json | 3 +- biobb_dna/json_schemas/biobb_curves.json | 2 +- biobb_dna/stiffness/average_stiffness.py | 23 ++- biobb_dna/stiffness/basepair_stiffness.py | 27 ++-- biobb_dna/test/conf.yml | 3 + .../test/data/config/config_biobb_curves.json | 3 +- .../test/data/config/config_biobb_curves.yml | 1 + .../correlation/inter_bpcorr_ref.csv | 18 +-- .../correlation/inter_hpcorr_ref.csv | 6 +- .../correlation/intra_bpcorr_ref.csv | 20 +-- .../correlation/intra_hpcorr_ref.csv | 6 +- .../reference/curvesplus/canal_output.zip | Bin 23373284 -> 23376942 bytes .../reference/curvesplus/canion_output.zip | Bin 132 -> 1078 bytes .../curvesplus/curves_trj_output.cda | 2 + .../curvesplus/curves_trj_output.lis | 7 +- .../curvesplus/curves_trj_output.zip | Bin 0 -> 6132967 bytes .../test/reference/stiffness/stiffbp_ref.csv | 4 +- .../test/reference/stiffness/stiffbp_ref.jpg | Bin 160324 -> 158446 bytes .../unitests/test_curvesplus/test_curves.py | 2 + 38 files changed, 401 insertions(+), 423 deletions(-) create mode 100644 biobb_dna/test/reference/curvesplus/curves_trj_output.zip diff --git a/.github/env.yaml b/.github/env.yaml index d7df9a9a..54b7c3fe 100644 --- a/.github/env.yaml +++ b/.github/env.yaml @@ -7,5 +7,5 @@ dependencies: - biobb_common ==4.2.0 - pandas >=1.3.0 - scikit-learn >=0.24.2 - - curves ==3.0.0 + - curves ==3.0.2 - imagehash diff --git a/.github/workflows/linting_and_testing.yml b/.github/workflows/linting_and_testing.yml index a656b5c8..976c1095 100644 --- a/.github/workflows/linting_and_testing.yml +++ b/.github/workflows/linting_and_testing.yml @@ -21,7 +21,7 @@ jobs: strategy: matrix: os: [self-hosted] - python-version: ["3.8", "3.9"] + python-version: ["3.8", "3.9", "3.10"] runs-on: ${{ matrix.os }} steps: - name: Check out repository code diff --git a/biobb_dna/backbone/bipopulations.py b/biobb_dna/backbone/bipopulations.py index d799be03..c383d9a0 100755 --- a/biobb_dna/backbone/bipopulations.py +++ b/biobb_dna/backbone/bipopulations.py @@ -1,7 +1,6 @@ #!/usr/bin/env python3 """Module containing the BIPopulations class and the command line interface.""" -import shutil import argparse import matplotlib.pyplot as plt @@ -11,7 +10,6 @@ from biobb_dna.utils.transform import inverse_complement from biobb_common.generic.biobb_object import BiobbObject from biobb_common.tools.file_utils import launchlogger -from biobb_common.tools import file_utils as fu from biobb_common.configuration import settings @@ -114,28 +112,18 @@ def launch(self) -> int: raise ValueError( "seqpos must be a list of at least two integers") - # Creating temporary folder - self.tmp_folder = fu.create_unique_dir(prefix="backbone_") - fu.log('Creating %s temporary folder' % self.tmp_folder, self.out_log) - - # Copy input_file_path1 to temporary folder - shutil.copy(self.io_dict['in']['input_epsilC_path'], self.tmp_folder) - shutil.copy(self.io_dict['in']['input_epsilW_path'], self.tmp_folder) - shutil.copy(self.io_dict['in']['input_zetaC_path'], self.tmp_folder) - shutil.copy(self.io_dict['in']['input_zetaW_path'], self.tmp_folder) - # read input files epsilC = read_series( - self.io_dict['in']['input_epsilC_path'], + self.stage_io_dict['in']['input_epsilC_path'], usecols=self.seqpos) epsilW = read_series( - self.io_dict['in']['input_epsilW_path'], + self.stage_io_dict['in']['input_epsilW_path'], usecols=self.seqpos) zetaC = read_series( - self.io_dict['in']['input_zetaC_path'], + self.stage_io_dict['in']['input_zetaC_path'], usecols=self.seqpos) zetaW = read_series( - self.io_dict['in']['input_zetaW_path'], + self.stage_io_dict['in']['input_zetaW_path'], usecols=self.seqpos) # calculate difference between epsil and zeta parameters @@ -158,7 +146,7 @@ def launch(self) -> int: "BI population": BI, "BII population": BII}) Bpopulations_df.to_csv( - self.io_dict['out']['output_csv_path'], + self.stage_io_dict['out']['output_csv_path'], index=False) # save plot @@ -185,14 +173,16 @@ def launch(self) -> int: axs.set_ylabel("BI/BII Population (%)") axs.set_title("Nucleotide parameter: BI/BII Population") fig.savefig( - self.io_dict['out']['output_jpg_path'], + self.stage_io_dict['out']['output_jpg_path'], format="jpg") plt.close() + # Copy files to host + self.copy_to_host() + # Remove temporary file(s) self.tmp_files.extend([ - self.stage_io_dict.get("unique_dir"), - self.tmp_folder + self.stage_io_dict.get("unique_dir") ]) self.remove_tmp_files() diff --git a/biobb_dna/backbone/canonicalag.py b/biobb_dna/backbone/canonicalag.py index 8fcf7954..c8c2d5ca 100755 --- a/biobb_dna/backbone/canonicalag.py +++ b/biobb_dna/backbone/canonicalag.py @@ -1,7 +1,6 @@ #!/usr/bin/env python3 """Module containing the CanonicalAG class and the command line interface.""" -import shutil import argparse import matplotlib.pyplot as plt @@ -11,7 +10,6 @@ from biobb_dna.utils.transform import inverse_complement from biobb_common.generic.biobb_object import BiobbObject from biobb_common.tools.file_utils import launchlogger -from biobb_common.tools import file_utils as fu from biobb_common.configuration import settings @@ -119,25 +117,15 @@ def launch(self) -> int: raise ValueError( "seqpos must be a list of at least two integers") - # Creating temporary folder - self.tmp_folder = fu.create_unique_dir(prefix="backbone_") - fu.log('Creating %s temporary folder' % self.tmp_folder, self.out_log) - - # Copy input_file_path1 to temporary folder - shutil.copy(self.io_dict['in']['input_alphaC_path'], self.tmp_folder) - shutil.copy(self.io_dict['in']['input_alphaW_path'], self.tmp_folder) - shutil.copy(self.io_dict['in']['input_gammaC_path'], self.tmp_folder) - shutil.copy(self.io_dict['in']['input_gammaW_path'], self.tmp_folder) - # read input files alphaC = read_series( - self.io_dict['in']['input_alphaC_path'], usecols=self.seqpos) + self.stage_io_dict['in']['input_alphaC_path'], usecols=self.seqpos) alphaW = read_series( - self.io_dict['in']['input_alphaW_path'], usecols=self.seqpos) + self.stage_io_dict['in']['input_alphaW_path'], usecols=self.seqpos) gammaC = read_series( - self.io_dict['in']['input_gammaC_path'], usecols=self.seqpos) + self.stage_io_dict['in']['input_gammaC_path'], usecols=self.seqpos) gammaW = read_series( - self.io_dict['in']['input_gammaW_path'], usecols=self.seqpos) + self.stage_io_dict['in']['input_gammaW_path'], usecols=self.seqpos) # fix angle range so its not negative alphaC = self.fix_angles(alphaC) @@ -161,7 +149,7 @@ def launch(self) -> int: "Nucleotide": xlabels, "Canonical alpha/gamma": canonical_populations}) ag_populations_df.to_csv( - self.io_dict['out']['output_csv_path'], + self.stage_io_dict['out']['output_csv_path'], index=False) # save plot @@ -188,14 +176,16 @@ def launch(self) -> int: axs.set_ylabel("Canonical Alpha-Gamma (%)") axs.set_title("Nucleotide parameter: Canonical Alpha-Gamma") fig.savefig( - self.io_dict['out']['output_jpg_path'], + self.stage_io_dict['out']['output_jpg_path'], format="jpg") plt.close() + # Copy files to host + self.copy_to_host() + # Remove temporary file(s) self.tmp_files.extend([ - self.stage_io_dict.get("unique_dir"), - self.tmp_folder + self.stage_io_dict.get("unique_dir") ]) self.remove_tmp_files() diff --git a/biobb_dna/backbone/puckering.py b/biobb_dna/backbone/puckering.py index 0e3237f3..cc6ab9bd 100755 --- a/biobb_dna/backbone/puckering.py +++ b/biobb_dna/backbone/puckering.py @@ -1,7 +1,6 @@ #!/usr/bin/env python3 """Module containing the Puckering class and the command line interface.""" -import shutil import argparse import matplotlib.pyplot as plt @@ -11,7 +10,6 @@ from biobb_dna.utils.transform import inverse_complement from biobb_common.generic.biobb_object import BiobbObject from biobb_common.tools.file_utils import launchlogger -from biobb_common.tools import file_utils as fu from biobb_common.configuration import settings @@ -112,20 +110,12 @@ def launch(self) -> int: raise ValueError( "seqpos must be a list of at least two integers") - # Creating temporary folder - self.tmp_folder = fu.create_unique_dir(prefix="backbone_") - fu.log('Creating %s temporary folder' % self.tmp_folder, self.out_log) - - # Copy input_file_path1 to temporary folder - shutil.copy(self.io_dict['in']['input_phaseC_path'], self.tmp_folder) - shutil.copy(self.io_dict['in']['input_phaseW_path'], self.tmp_folder) - # read input files phaseC = read_series( - self.io_dict['in']['input_phaseC_path'], + self.stage_io_dict['in']['input_phaseC_path'], usecols=self.seqpos) phaseW = read_series( - self.io_dict['in']['input_phaseW_path'], + self.stage_io_dict['in']['input_phaseW_path'], usecols=self.seqpos) # fix angle range so its not negative @@ -172,7 +162,7 @@ def launch(self) -> int: axs.set_ylabel("Puckering (%)") axs.set_title("Nucleotide parameter: Puckering") fig.savefig( - self.io_dict['out']['output_jpg_path'], + self.stage_io_dict['out']['output_jpg_path'], format="jpg") # save table @@ -183,15 +173,17 @@ def launch(self) -> int: "West": Wpop, "South": Spop}) populations.to_csv( - self.io_dict['out']['output_csv_path'], + self.stage_io_dict['out']['output_csv_path'], index=False) plt.close() + # Copy files to host + self.copy_to_host() + # Remove temporary file(s) self.tmp_files.extend([ - self.stage_io_dict.get("unique_dir"), - self.tmp_folder + self.stage_io_dict.get("unique_dir") ]) self.remove_tmp_files() diff --git a/biobb_dna/curvesplus/biobb_canal.py b/biobb_dna/curvesplus/biobb_canal.py index f01c3f43..cbf0b25b 100755 --- a/biobb_dna/curvesplus/biobb_canal.py +++ b/biobb_dna/curvesplus/biobb_canal.py @@ -2,7 +2,6 @@ """Module containing the Canal class and the command line interface.""" import os -import shutil import zipfile import argparse from pathlib import Path @@ -111,38 +110,27 @@ def launch(self) -> int: self.stage_files() if self.sequence is None: - if self.io_dict['in']['input_lis_file'] is None: + if self.stage_io_dict['in']['input_lis_file'] is None: raise RuntimeError( "if no sequence is passed in the configuration, " "you must at least specify `input_lis_file` " "so sequence can be parsed from there") lis_lines = Path( - self.io_dict['in']['input_lis_file']).read_text().splitlines() + self.stage_io_dict['in']['input_lis_file']).read_text().splitlines() for line in lis_lines: if line.strip().startswith("Strand 1"): self.sequence = line.split(" ")[-1] fu.log( f"using sequence {self.sequence} " - f"from {self.io_dict['in']['input_lis_file']}", + f"from {self.stage_io_dict['in']['input_lis_file']}", self.out_log) - # Creating temporary folder - self.tmp_folder = fu.create_unique_dir(prefix="canal_") - fu.log('Creating %s temporary folder' % self.tmp_folder, self.out_log) - - # copy input files to temporary folder - shutil.copy( - self.io_dict['in']['input_cda_file'], - self.tmp_folder) - tmp_cda_path = Path(self.io_dict['in']['input_cda_file']).name - if self.io_dict['in']['input_lis_file'] is not None: - shutil.copy( - self.io_dict['in']['input_lis_file'], - self.tmp_folder) + # define temporary file name + tmp_cda_path = Path(self.stage_io_dict['in']['input_cda_file']).name # change directory to temporary folder original_directory = os.getcwd() - os.chdir(self.tmp_folder) + os.chdir(self.stage_io_dict.get("unique_dir")) # create intructions instructions = [ @@ -183,17 +171,20 @@ def launch(self) -> int: # create zipfile and write output inside zf = zipfile.ZipFile( - Path(self.io_dict["out"]["output_zip_path"]), "w") - for canal_outfile in Path(self.tmp_folder).glob("canal_output*"): - zf.write( - canal_outfile, - arcname=canal_outfile.name) + Path(self.stage_io_dict["out"]["output_zip_path"]), "w") + for canal_outfile in Path(self.stage_io_dict.get("unique_dir")).glob("canal_output*"): + if canal_outfile.suffix not in (".zip"): + zf.write( + canal_outfile, + arcname=canal_outfile.name) zf.close() + # Copy files to host + self.copy_to_host() + # Remove temporary file(s) self.tmp_files.extend([ - self.stage_io_dict.get("unique_dir"), - self.tmp_folder + self.stage_io_dict.get("unique_dir") ]) self.remove_tmp_files() diff --git a/biobb_dna/curvesplus/biobb_canion.py b/biobb_dna/curvesplus/biobb_canion.py index 3f560b09..58b66b8c 100755 --- a/biobb_dna/curvesplus/biobb_canion.py +++ b/biobb_dna/curvesplus/biobb_canion.py @@ -4,7 +4,6 @@ import os import zipfile import argparse -import shutil from pathlib import Path from biobb_common.generic.biobb_object import BiobbObject from biobb_common.configuration import settings @@ -22,7 +21,7 @@ class Canion(BiobbObject): input_cdi_path (str): Trajectory input file. File type: input. `Sample file `_. Accepted formats: cdi (edam:format_2330). input_afr_path (str): Helical axis frames corresponding to the input conformation to be analyzed. File type: input. `Sample file `_. Accepted formats: afr (edam:format_2330). input_avg_struc_path (str): Average DNA conformation. File type: input. `Sample file `_. Accepted formats: pdb (edam:format_1476). - output_zip_path (str) (Optional): Filename for .zip files containing Canion output files. File type: output. `Sample file `_. Accepted formats: zip (edam:format_3987). + output_zip_path (str): Filename for .zip files containing Canion output files. File type: output. `Sample file `_. Accepted formats: zip (edam:format_3987). properties (dict): * **bases** (*str*) - (None) Sequence of bases to be analyzed (default is blank, meaning no specified sequence). * **type** (*str*) - ('*') Ions (or atoms) to be analyzed. Options are 'Na+', 'K', 'K+', 'Cl', 'Cl-', 'CL', 'P', 'C1*', 'NH1', 'NH2', 'NZ', '1' for all cations, '-1' for all anions, '0' for neutral species or '*' for all available data. @@ -136,22 +135,14 @@ def launch(self) -> int: raise ValueError(("Invalid value for property type! " f"Option include: {ion_type_options}")) - # Creating temporary folder - self.tmp_folder = fu.create_unique_dir(prefix="canion_") - fu.log('Creating %s temporary folder' % self.tmp_folder, self.out_log) - - # copy input files to temporary folder - shutil.copy(self.io_dict['in']['input_cdi_path'], self.tmp_folder) - shutil.copy(self.io_dict['in']['input_afr_path'], self.tmp_folder) - shutil.copy( - self.io_dict['in']['input_avg_struc_path'], self.tmp_folder) - input_cdi_file = Path(self.io_dict['in']['input_cdi_path']).name - input_afr_file = Path(self.io_dict['in']['input_afr_path']).name - input_avg_struc = Path(self.io_dict['in']['input_avg_struc_path']).name + # define temporary file names + input_cdi_file = Path(self.stage_io_dict['in']['input_cdi_path']).name + input_afr_file = Path(self.stage_io_dict['in']['input_afr_path']).name + input_avg_struc = Path(self.stage_io_dict['in']['input_avg_struc_path']).name # change directory to temporary folder original_directory = os.getcwd() - os.chdir(self.tmp_folder) + os.chdir(self.stage_io_dict.get("unique_dir")) # create intructions instructions = [ @@ -187,16 +178,19 @@ def launch(self) -> int: # create zipfile and write output inside zf = zipfile.ZipFile( - Path(self.io_dict["out"]["output_zip_path"]), + Path(self.stage_io_dict["out"]["output_zip_path"]), "w") - for curves_outfile in Path(self.tmp_folder).glob("canion_output*"): - zf.write(curves_outfile, arcname=curves_outfile.name) + for curves_outfile in Path(self.stage_io_dict.get("unique_dir")).glob("canion_output*"): + if curves_outfile.suffix not in (".zip"): + zf.write(curves_outfile, arcname=curves_outfile.name) zf.close() + # Copy files to host + self.copy_to_host() + # Remove temporary file(s) self.tmp_files.extend([ - self.stage_io_dict.get("unique_dir"), - self.tmp_folder + self.stage_io_dict.get("unique_dir") ]) self.remove_tmp_files() diff --git a/biobb_dna/curvesplus/biobb_curves.py b/biobb_dna/curvesplus/biobb_curves.py index 1f091489..b8be8941 100755 --- a/biobb_dna/curvesplus/biobb_curves.py +++ b/biobb_dna/curvesplus/biobb_curves.py @@ -23,7 +23,7 @@ class Curves(BiobbObject): input_top_path (str) (Optional): Topology file, needed along with .trj file (optional). File type: input. `Sample file `_. Accepted formats: top (edam:format_3881). output_cda_path (str): Filename for Curves+ output .cda file. File type: output. `Sample file `_. Accepted formats: cda (edam:format_2330). output_lis_path (str): Filename for Curves+ output .lis file. File type: output. `Sample file `_. Accepted formats: lis (edam:format_2330). - output_zip_path (str) (Optional): Filename for .zip files containing Curves+ output that is not .cda or .lis files. File type: output. Accepted formats: zip (edam:format_3987). + output_zip_path (str) (Optional): Filename for .zip files containing Curves+ output that is not .cda or .lis files. File type: output. `Sample file `_. Accepted formats: zip (edam:format_3987). properties (dict): * **s1range** (*str*) - (None) Range of first strand. Must be specified in the form "start:end". * **s2range** (*str*) - (None) Range of second strand. Must be specified in the form "start:end". @@ -105,6 +105,17 @@ def __init__( self.check_properties(properties) self.check_arguments() + def create_curvesplus_folder(self): + """Create .curvesplus folder in the current temporal folder and copy the lib files inside.""" + # Create .curvesplus directory in temporary folder + dst_dir = self.stage_io_dict.get("unique_dir") + '/.curvesplus' + os.makedirs(dst_dir, exist_ok=True) + # Get lib files from stdlib_path + lib_files = list(Path(os.path.dirname(self.stdlib_path)).glob("*.lib")) + # Copy each lib file to the .curvesplus directory in temporary folder + for file in lib_files: + shutil.copy(file, dst_dir) + @launchlogger def launch(self) -> int: """Execute the :class:`Curves ` object.""" @@ -143,31 +154,39 @@ def launch(self) -> int: f"{os.getenv('CONDA_PREFIX')} !" "Please indicate where standard_*.lib files are " "located with the stdlib_path property.") + # copy standard library files to temporary folder + shutil.copytree(curves_aux_path, self.stage_io_dict.get("unique_dir") + '/.curvesplus') + relative_lib_path = '.curvesplus/standard' else: # CONDA_PREFIX undefined + fu.log('CONDA_PREFIX undefined, please put the standard_b.lib, standard_s.lib and standard_i.lib files in the current working directory', self.out_log) self.stdlib_path = Path.cwd() / "standard" - - # Creating temporary folder - self.tmp_folder = fu.create_unique_dir(prefix="curves_") - fu.log('Creating %s temporary folder' % self.tmp_folder, self.out_log) - - # copy input files to temporary folder - shutil.copy(self.io_dict['in']['input_struc_path'], self.tmp_folder) - tmp_struc_input = Path(self.io_dict['in']['input_struc_path']).name - if self.io_dict['in']['input_top_path'] is not None: - shutil.copy(self.io_dict['in']['input_top_path'], self.tmp_folder) - tmp_top_input = Path(self.io_dict['in']['input_top_path']).name + # create .curvesplus folder in the current temporal folder and copy the lib files inside + self.create_curvesplus_folder() + # set relative path + relative_lib_path = '.curvesplus/standard' + else: + # create .curvesplus folder in the current temporal folder and copy the lib files inside + self.create_curvesplus_folder() + # set relative path + path_parts = self.stdlib_path.split(os.sep) + relative_lib_path = '.curvesplus/' + os.sep.join(path_parts[-1:]) # change directory to temporary folder original_directory = os.getcwd() - os.chdir(self.tmp_folder) + os.chdir(self.stage_io_dict.get("unique_dir")) + + # define temporary file names + tmp_struc_input = Path(self.stage_io_dict['in']['input_struc_path']).name + if self.stage_io_dict['in']['input_top_path'] is not None: + tmp_top_input = Path(self.stage_io_dict['in']['input_top_path']).name # create intructions instructions = [ f"{self.binary_path} < int: # create intructions instructions = instructions + [ " lis='curves_output',", - f" lib={self.stdlib_path},", + f" lib={relative_lib_path},", f" ions={self.ions},", f" test={self.test},", f" line={self.line},", @@ -201,27 +220,29 @@ def launch(self) -> int: os.chdir(original_directory) # create zipfile and write output inside - if self.io_dict["out"]["output_zip_path"] is not None: + if self.stage_io_dict.get("out", {}).get("output_zip_path") is not None: zf = zipfile.ZipFile( - Path(self.io_dict["out"]["output_zip_path"]), + Path(self.stage_io_dict["out"]["output_zip_path"]), "w") - for curves_outfile in Path(self.tmp_folder).glob("curves_output*"): - if curves_outfile.suffix not in (".cda", ".lis"): + for curves_outfile in Path(self.stage_io_dict.get("unique_dir")).glob("curves_output*"): + if curves_outfile.suffix not in (".cda", ".lis", ".zip"): zf.write( curves_outfile, arcname=curves_outfile.name) zf.close() # rename cda and lis files - (Path(self.tmp_folder) / "curves_output.cda").rename( - self.io_dict["out"]["output_cda_path"]) - (Path(self.tmp_folder) / "curves_output.lis").rename( - self.io_dict["out"]["output_lis_path"]) + (Path(self.stage_io_dict.get("unique_dir")) / "curves_output.cda").rename( + self.stage_io_dict["out"]["output_cda_path"]) + (Path(self.stage_io_dict.get("unique_dir")) / "curves_output.lis").rename( + self.stage_io_dict["out"]["output_lis_path"]) + + # Copy files to host + self.copy_to_host() # Remove temporary file(s) self.tmp_files.extend([ - self.stage_io_dict.get("unique_dir"), - self.tmp_folder + self.stage_io_dict.get("unique_dir") ]) self.remove_tmp_files() diff --git a/biobb_dna/dna/dna_averages.py b/biobb_dna/dna/dna_averages.py index c0d9bd02..0eb61726 100755 --- a/biobb_dna/dna/dna_averages.py +++ b/biobb_dna/dna/dna_averages.py @@ -1,7 +1,6 @@ #!/usr/bin/env python3 """Module containing the HelParAverages class and the command line interface.""" -import shutil import argparse from pathlib import Path @@ -11,7 +10,6 @@ from biobb_dna.utils.loader import read_series from biobb_common.generic.biobb_object import BiobbObject from biobb_common.tools.file_utils import launchlogger -from biobb_common.tools import file_utils as fu from biobb_common.configuration import settings @@ -108,7 +106,7 @@ def launch(self) -> int: if self.helpar_name is None: for hp in constants.helical_parameters: ser_name = Path( - self.io_dict['in']['input_ser_path']).name.lower() + self.stage_io_dict['in']['input_ser_path']).name.lower() if hp.lower() in ser_name: self.helpar_name = hp if self.helpar_name is None: @@ -140,15 +138,9 @@ def launch(self) -> int: raise ValueError( "seqpos must be a list of at least two integers") - # Creating temporary folder - self.tmp_folder = fu.create_unique_dir(prefix="averages_") - fu.log('Creating %s temporary folder' % self.tmp_folder, self.out_log) - # Copy input_file_path1 to temporary folder - shutil.copy(self.io_dict['in']['input_ser_path'], self.tmp_folder) - # read input .ser file ser_data = read_series( - self.io_dict['in']['input_ser_path'], + self.stage_io_dict['in']['input_ser_path'], usecols=self.seqpos) if self.seqpos is None: ser_data = ser_data[ser_data.columns[1:-1]] @@ -193,7 +185,7 @@ def launch(self) -> int: f"{'Step' if self.baselen==1 else ''} " f"Helical Parameter: {self.helpar_name.capitalize()}") fig.savefig( - self.io_dict['out']['output_jpg_path'], + self.stage_io_dict['out']['output_jpg_path'], format="jpg") # save table @@ -202,15 +194,17 @@ def launch(self) -> int: "mean": means.to_numpy(), "std": stds.to_numpy()}) dataset.to_csv( - self.io_dict['out']['output_csv_path'], + self.stage_io_dict['out']['output_csv_path'], index=False) plt.close() + # Copy files to host + self.copy_to_host() + # Remove temporary file(s) self.tmp_files.extend([ - self.stage_io_dict.get("unique_dir"), - self.tmp_folder + self.stage_io_dict.get("unique_dir") ]) self.remove_tmp_files() diff --git a/biobb_dna/dna/dna_bimodality.py b/biobb_dna/dna/dna_bimodality.py index 9ffa80bc..442ffff5 100755 --- a/biobb_dna/dna/dna_bimodality.py +++ b/biobb_dna/dna/dna_bimodality.py @@ -2,7 +2,6 @@ """Module containing the HelParBimodality class and the command line interface.""" import os -import shutil import zipfile import argparse from pathlib import Path @@ -15,7 +14,6 @@ from biobb_dna.utils import constants from biobb_common.generic.biobb_object import BiobbObject from biobb_common.configuration import settings -from biobb_common.tools import file_utils as fu from biobb_common.tools.file_utils import launchlogger from biobb_dna.utils.loader import load_data @@ -110,14 +108,14 @@ def launch(self) -> int: # get helical parameter from filename if not specified if self.helpar_name is None: for hp in constants.helical_parameters: - input_zip_path = self.io_dict['in']['input_zip_file'] + input_zip_path = self.stage_io_dict['in']['input_zip_file'] if input_zip_path is not None: condition_2 = ( hp.lower() in Path(input_zip_path).name.lower()) else: condition_2 = False condition_1 = hp.lower() in Path( - self.io_dict['in']['input_csv_file']).name.lower() + self.stage_io_dict['in']['input_csv_file']).name.lower() if (condition_1 or condition_2): self.helpar_name = hp if self.helpar_name is None: @@ -138,32 +136,23 @@ def launch(self) -> int: # resolve output output_csv_path = Path( - self.io_dict['out']['output_csv_path']).resolve() + self.stage_io_dict['out']['output_csv_path']).resolve() output_jpg_path = Path( - self.io_dict['out']['output_jpg_path']).resolve() + self.stage_io_dict['out']['output_jpg_path']).resolve() - # Creating temporary folder - self.tmp_folder = fu.create_unique_dir(prefix="bimodality_") - fu.log('Creating %s temporary folder' % self.tmp_folder, self.out_log) + # change directory to temporary folder + original_directory = os.getcwd() + os.chdir(self.stage_io_dict.get("unique_dir")) # read input - if self.io_dict['in']['input_zip_file'] is not None: - # Copy input_file_path1 to temporary folder - shutil.copy(self.io_dict['in']['input_zip_file'], self.tmp_folder) + if self.stage_io_dict.get("in", {}).get("input_zip_file") is not None: # if zipfile is specified, extract to temporary folder with zipfile.ZipFile( - self.io_dict['in']['input_zip_file'], + self.stage_io_dict['in']['input_zip_file'], 'r') as zip_ref: - zip_ref.extractall(self.tmp_folder) - else: - # copy input files to temporary folder - shutil.copy( - self.io_dict['in']['input_csv_file'], - self.tmp_folder) - # change directory to temporary folder - original_directory = os.getcwd() - os.chdir(self.tmp_folder) - data = load_data(Path(self.io_dict['in']['input_csv_file']).name) + zip_ref.extractall(self.stage_io_dict.get("unique_dir")) + + data = load_data(Path(self.stage_io_dict['in']['input_csv_file']).name) means, variances, bics, weights = self.fit_to_model(data) uninormal, binormal, insuf_ev = self.bayes_factor_criteria( @@ -237,10 +226,12 @@ def launch(self) -> int: # change back to original directory os.chdir(original_directory) + # Copy files to host + self.copy_to_host() + # Remove temporary file(s) self.tmp_files.extend([ - self.stage_io_dict.get("unique_dir"), - self.tmp_folder + self.stage_io_dict.get("unique_dir") ]) self.remove_tmp_files() diff --git a/biobb_dna/dna/dna_timeseries.py b/biobb_dna/dna/dna_timeseries.py index 5e50928d..35204b75 100755 --- a/biobb_dna/dna/dna_timeseries.py +++ b/biobb_dna/dna/dna_timeseries.py @@ -2,7 +2,6 @@ """Module containing the HelParTimeSeries class and the command line interface.""" import argparse -import shutil import zipfile from pathlib import Path @@ -137,16 +136,9 @@ def launch(self) -> int: raise ValueError( "seqpos must be a list of at least two integers") - # Creating temporary folder - self.tmp_folder = fu.create_unique_dir(prefix="timeseries_") - fu.log('Creating %s temporary folder' % self.tmp_folder, self.out_log) - - # Copy input_ser_path to temporary folder - shutil.copy(self.io_dict['in']['input_ser_path'], self.tmp_folder) - # read input .ser file ser_data = read_series( - self.io_dict['in']['input_ser_path'], + self.stage_io_dict['in']['input_ser_path'], usecols=self.seqpos) if self.seqpos is None: ser_data = ser_data[ser_data.columns[1:-1]] @@ -164,7 +156,7 @@ def launch(self) -> int: # write output files for all selected bases (one per column) zf = zipfile.ZipFile( - Path(self.io_dict["out"]["output_zip_path"]), "w") + Path(self.stage_io_dict["out"]["output_zip_path"]), "w") for col in ser_data.columns: # unstack columns to prevent errors from repeated base pairs column_data = ( @@ -178,10 +170,10 @@ def launch(self) -> int: # column series series_colfn = f"series_{self.helpar_name}_{col}" column_data.to_csv( - Path(self.tmp_folder) / f"{series_colfn}.csv") + Path(self.stage_io_dict.get("unique_dir")) / f"{series_colfn}.csv") # save table zf.write( - Path(self.tmp_folder) / f"{series_colfn}.csv", arcname=f"{series_colfn}.csv") + Path(self.stage_io_dict.get("unique_dir")) / f"{series_colfn}.csv", arcname=f"{series_colfn}.csv") fig, axs = plt.subplots(1, 1, dpi=300, tight_layout=True) reduced_data = column_data.iloc[::self.stride] @@ -193,10 +185,10 @@ def launch(self) -> int: "(base pair " f"{'step' if self.baselen==1 else ''} {col})") fig.savefig( - Path(self.tmp_folder) / f"{series_colfn}.jpg", format="jpg") + Path(self.stage_io_dict.get("unique_dir")) / f"{series_colfn}.jpg", format="jpg") # save plot zf.write( - Path(self.tmp_folder) / f"{series_colfn}.jpg", arcname=f"{series_colfn}.jpg") + Path(self.stage_io_dict.get("unique_dir")) / f"{series_colfn}.jpg", arcname=f"{series_colfn}.jpg") plt.close() # columns histogram @@ -204,29 +196,31 @@ def launch(self) -> int: fig, axs = plt.subplots(1, 1, dpi=300, tight_layout=True) ybins, x, _ = axs.hist(column_data, bins=self.bins) pd.DataFrame({self.helpar_name: x[:-1], "density": ybins}).to_csv( - Path(self.tmp_folder) / f"{hist_colfn}.csv", + Path(self.stage_io_dict.get("unique_dir")) / f"{hist_colfn}.csv", index=False) # save table zf.write( - Path(self.tmp_folder) / f"{hist_colfn}.csv", + Path(self.stage_io_dict.get("unique_dir")) / f"{hist_colfn}.csv", arcname=f"{hist_colfn}.csv") axs.set_ylabel("Density") axs.set_xlabel(f"{self.helpar_name.capitalize()} ({self.hp_unit})") fig.savefig( - Path(self.tmp_folder) / f"{hist_colfn}.jpg", + Path(self.stage_io_dict.get("unique_dir")) / f"{hist_colfn}.jpg", format="jpg") # save plot zf.write( - Path(self.tmp_folder) / f"{hist_colfn}.jpg", + Path(self.stage_io_dict.get("unique_dir")) / f"{hist_colfn}.jpg", arcname=f"{hist_colfn}.jpg") plt.close() zf.close() + # Copy files to host + self.copy_to_host() + # Remove temporary file(s) self.tmp_files.extend([ - self.stage_io_dict.get("unique_dir"), - self.tmp_folder + self.stage_io_dict.get("unique_dir") ]) self.remove_tmp_files() diff --git a/biobb_dna/docs/source/command_line.md b/biobb_dna/docs/source/command_line.md index 87e7f19f..46409b4b 100644 --- a/biobb_dna/docs/source/command_line.md +++ b/biobb_dna/docs/source/command_line.md @@ -613,10 +613,10 @@ Command: dna_bimodality -h ``` usage: dna_bimodality [-h] [--config CONFIG] --input_csv_file INPUT_CSV_FILE [--input_zip_file INPUT_ZIP_FILE] --output_csv_path OUTPUT_CSV_PATH --output_jpg_path OUTPUT_JPG_PATH - + Determine binormality/bimodality from a helical parameter dataset. - - optional arguments: + + options: -h, --help show this help message and exit --config CONFIG Configuration file --input_zip_file INPUT_ZIP_FILE @@ -1199,7 +1199,7 @@ Config input / output arguments for this building block: * **input_top_path** (*string*): Topology file, needed along with .trj file (optional). File type: input. [Sample file](https://raw.githubusercontent.com/bioexcel/biobb_dna/master/biobb_dna/test/data/curvesplus/structure.stripped.top). Accepted formats: TOP * **output_cda_path** (*string*): Filename for Curves+ output .cda file. File type: output. [Sample file](https://raw.githubusercontent.com/bioexcel/biobb_dna/master/biobb_dna/test/reference/curvesplus/curves_trj_output.cda). Accepted formats: CDA * **output_lis_path** (*string*): Filename for Curves+ output .lis file. File type: output. [Sample file](https://raw.githubusercontent.com/bioexcel/biobb_dna/master/biobb_dna/test/reference/curvesplus/curves_trj_output.lis). Accepted formats: LIS -* **output_zip_path** (*string*): Filename for .zip files containing Curves+ output that is not .cda or .lis files. File type: output. [Sample file](None). Accepted formats: ZIP +* **output_zip_path** (*string*): Filename for .zip files containing Curves+ output that is not .cda or .lis files. File type: output. [Sample file](https://raw.githubusercontent.com/bioexcel/biobb_dna/master/biobb_dna/test/reference/curvesplus/curves_trj_output.zip). Accepted formats: ZIP ### Config Syntax: input_parameter (datatype) - (default_value) Definition @@ -1222,23 +1222,25 @@ Config parameters for this building block: #### [Common config file](https://github.com/bioexcel/biobb_dna/blob/master/biobb_dna/test/data/config/config_biobb_curves.yml) ```python properties: + ions: true s1range: '1:12' ``` #### Command line ```python -biobb_curves --config config_biobb_curves.yml --input_struc_path structure.stripped.trj --input_top_path structure.stripped.top --output_cda_path curves_trj_output.cda --output_lis_path curves_trj_output.lis --output_zip_path output.zip +biobb_curves --config config_biobb_curves.yml --input_struc_path structure.stripped.trj --input_top_path structure.stripped.top --output_cda_path curves_trj_output.cda --output_lis_path curves_trj_output.lis --output_zip_path curves_trj_output.zip ``` ### JSON #### [Common config file](https://github.com/bioexcel/biobb_dna/blob/master/biobb_dna/test/data/config/config_biobb_curves.json) ```python { "properties": { - "s1range": "1:12" + "s1range": "1:12", + "ions": true } } ``` #### Command line ```python -biobb_curves --config config_biobb_curves.json --input_struc_path structure.stripped.trj --input_top_path structure.stripped.top --output_cda_path curves_trj_output.cda --output_lis_path curves_trj_output.lis --output_zip_path output.zip +biobb_curves --config config_biobb_curves.json --input_struc_path structure.stripped.trj --input_top_path structure.stripped.top --output_cda_path curves_trj_output.cda --output_lis_path curves_trj_output.lis --output_zip_path curves_trj_output.zip ``` diff --git a/biobb_dna/docs/source/readme.md b/biobb_dna/docs/source/readme.md index 92ba7c79..cbeb9c4e 100644 --- a/biobb_dna/docs/source/readme.md +++ b/biobb_dna/docs/source/readme.md @@ -12,7 +12,7 @@ [![](https://readthedocs.org/projects/biobb-dna/badge/?version=latest&label=Docs)](https://biobb-dna.readthedocs.io/en/latest/?badge=latest) [![](https://img.shields.io/website?down_message=Offline&label=Biobb%20Website&up_message=Online&url=https%3A%2F%2Fmmb.irbbarcelona.org%2Fbiobb%2F)](https://mmb.irbbarcelona.org/biobb/) -[![](https://img.shields.io/badge/Youtube-tutorial-blue?logo=youtube&logoColor=red)](https://www.youtube.com/watch?v=ou1DOGNs0xM) +[![](https://img.shields.io/badge/Youtube-tutorials-blue?logo=youtube&logoColor=red)](https://www.youtube.com/@BioExcelCoE/search?query=biobb) [![](https://zenodo.org/badge/DOI/10.1038/s41597-019-0177-4.svg)](https://doi.org/10.1038/s41597-019-0177-4) [![](https://img.shields.io/endpoint?color=brightgreen&url=https%3A%2F%2Fapi.juleskreuer.eu%2Fcitation-badge.php%3Fshield%26doi%3D10.1038%2Fs41597-019-0177-4)](https://www.nature.com/articles/s41597-019-0177-4#citeas) diff --git a/biobb_dna/interbp_correlations/interbpcorr.py b/biobb_dna/interbp_correlations/interbpcorr.py index 9517a21f..8429ab41 100755 --- a/biobb_dna/interbp_correlations/interbpcorr.py +++ b/biobb_dna/interbp_correlations/interbpcorr.py @@ -11,7 +11,6 @@ from biobb_common.generic.biobb_object import BiobbObject from biobb_common.configuration import settings -from biobb_common.tools import file_utils as fu from biobb_common.tools.file_utils import launchlogger from biobb_dna.utils.loader import read_series from biobb_dna.utils import constants @@ -118,23 +117,19 @@ def launch(self) -> int: raise ValueError( "seqpos must be a list of at least two integers") - # Creating temporary folder - self.tmp_folder = fu.create_unique_dir(prefix="bpcorrelation_") - fu.log('Creating %s temporary folder' % self.tmp_folder, self.out_log) - # read input shift = read_series( - self.io_dict["in"]["input_filename_shift"], usecols=self.seqpos) + self.stage_io_dict["in"]["input_filename_shift"], usecols=self.seqpos) slide = read_series( - self.io_dict["in"]["input_filename_slide"], usecols=self.seqpos) + self.stage_io_dict["in"]["input_filename_slide"], usecols=self.seqpos) rise = read_series( - self.io_dict["in"]["input_filename_rise"], usecols=self.seqpos) + self.stage_io_dict["in"]["input_filename_rise"], usecols=self.seqpos) tilt = read_series( - self.io_dict["in"]["input_filename_tilt"], usecols=self.seqpos) + self.stage_io_dict["in"]["input_filename_tilt"], usecols=self.seqpos) roll = read_series( - self.io_dict["in"]["input_filename_roll"], usecols=self.seqpos) + self.stage_io_dict["in"]["input_filename_roll"], usecols=self.seqpos) twist = read_series( - self.io_dict["in"]["input_filename_twist"], usecols=self.seqpos) + self.stage_io_dict["in"]["input_filename_twist"], usecols=self.seqpos) if self.seqpos is None: # drop first and last columns @@ -196,7 +191,7 @@ def launch(self) -> int: result_df.index = corr_index # save csv data - result_df.to_csv(self.io_dict["out"]["output_csv_path"]) + result_df.to_csv(self.stage_io_dict["out"]["output_csv_path"]) # create heatmap cmap = plt.get_cmap("bwr").copy() @@ -228,14 +223,16 @@ def launch(self) -> int: fig.tight_layout() fig.savefig( - self.io_dict['out']['output_jpg_path'], + self.stage_io_dict['out']['output_jpg_path'], format="jpg") plt.close() + # Copy files to host + self.copy_to_host() + # Remove temporary file(s) self.tmp_files.extend([ self.stage_io_dict.get("unique_dir"), - self.tmp_folder ]) self.remove_tmp_files() diff --git a/biobb_dna/interbp_correlations/interhpcorr.py b/biobb_dna/interbp_correlations/interhpcorr.py index 4980b7b0..fd5f17de 100755 --- a/biobb_dna/interbp_correlations/interhpcorr.py +++ b/biobb_dna/interbp_correlations/interhpcorr.py @@ -9,7 +9,6 @@ from biobb_common.generic.biobb_object import BiobbObject from biobb_common.configuration import settings -from biobb_common.tools import file_utils as fu from biobb_common.tools.file_utils import launchlogger from biobb_dna.utils.loader import load_data @@ -106,17 +105,13 @@ def launch(self) -> int: return 0 self.stage_files() - # Creating temporary folder - self.tmp_folder = fu.create_unique_dir(prefix="hpcorrelation_") - fu.log('Creating %s temporary folder' % self.tmp_folder, self.out_log) - # read input - shift = load_data(self.io_dict["in"]["input_filename_shift"]) - slide = load_data(self.io_dict["in"]["input_filename_slide"]) - rise = load_data(self.io_dict["in"]["input_filename_rise"]) - tilt = load_data(self.io_dict["in"]["input_filename_tilt"]) - roll = load_data(self.io_dict["in"]["input_filename_roll"]) - twist = load_data(self.io_dict["in"]["input_filename_twist"]) + shift = load_data(self.stage_io_dict["in"]["input_filename_shift"]) + slide = load_data(self.stage_io_dict["in"]["input_filename_slide"]) + rise = load_data(self.stage_io_dict["in"]["input_filename_rise"]) + tilt = load_data(self.stage_io_dict["in"]["input_filename_tilt"]) + roll = load_data(self.stage_io_dict["in"]["input_filename_roll"]) + twist = load_data(self.stage_io_dict["in"]["input_filename_twist"]) # get basepair if self.basepair is None: @@ -128,63 +123,82 @@ def launch(self) -> int: np.eye(6, 6), index=coordinates, columns=coordinates) # shift - corr_matrix["shift"]["slide"] = shift.corrwith(slide, method="pearson") - corr_matrix["shift"]["rise"] = shift.corrwith(rise, method="pearson") - corr_matrix["shift"]["tilt"] = shift.corrwith( - tilt, method=self.circlineal) - corr_matrix["shift"]["roll"] = shift.corrwith( - roll, method=self.circlineal) - corr_matrix["shift"]["twist"] = shift.corrwith( - twist, method=self.circlineal) + # corr_matrix["shift"]["slide"] = shift.corrwith(slide, method="pearson") + corr_matrix.loc["slide", "shift"] = shift.corrwith(slide, method="pearson").values[0] + # corr_matrix["shift"]["rise"] = shift.corrwith(rise, method="pearson") + corr_matrix.loc["rise", "shift"] = shift.corrwith(rise, method="pearson").values[0] + # corr_matrix["shift"]["tilt"] = shift.corrwith(tilt, method=self.circlineal) + corr_matrix.loc["tilt", "shift"] = shift.corrwith(tilt, method=self.circlineal).values[0] + # corr_matrix["shift"]["roll"] = shift.corrwith(roll, method=self.circlineal) + corr_matrix.loc["roll", "shift"] = shift.corrwith(roll, method=self.circlineal).values[0] + # corr_matrix["shift"]["twist"] = shift.corrwith(twist, method=self.circlineal) + corr_matrix.loc["twist", "shift"] = shift.corrwith(twist, method=self.circlineal).values[0] # symmetric values - corr_matrix["slide"]["shift"] = corr_matrix["shift"]["slide"] - corr_matrix["rise"]["shift"] = corr_matrix["shift"]["rise"] - corr_matrix["tilt"]["shift"] = corr_matrix["shift"]["tilt"] - corr_matrix["roll"]["shift"] = corr_matrix["shift"]["roll"] - corr_matrix["twist"]["shift"] = corr_matrix["shift"]["twist"] + # corr_matrix["slide"]["shift"] = corr_matrix["shift"]["slide"] + corr_matrix.loc["shift", "slide"] = corr_matrix.loc["slide", "shift"] + # corr_matrix["rise"]["shift"] = corr_matrix["shift"]["rise"] + corr_matrix.loc["shift", "rise"] = corr_matrix.loc["rise", "shift"] + # corr_matrix["tilt"]["shift"] = corr_matrix["shift"]["tilt"] + corr_matrix.loc["shift", "tilt"] = corr_matrix.loc["tilt", "shift"] + # corr_matrix["roll"]["shift"] = corr_matrix["shift"]["roll"] + corr_matrix.loc["shift", "roll"] = corr_matrix.loc["roll", "shift"] + # corr_matrix["twist"]["shift"] = corr_matrix["shift"]["twist"] + corr_matrix.loc["shift", "twist"] = corr_matrix.loc["twist", "shift"] # slide - corr_matrix["slide"]["rise"] = slide.corrwith(rise, method="pearson") - corr_matrix["slide"]["tilt"] = slide.corrwith( - tilt, method=self.circlineal) - corr_matrix["slide"]["roll"] = slide.corrwith( - roll, method=self.circlineal) - corr_matrix["slide"]["twist"] = slide.corrwith( - twist, method=self.circlineal) + # corr_matrix["slide"]["rise"] = slide.corrwith(rise, method="pearson") + corr_matrix.loc["rise", "slide"] = slide.corrwith(rise, method="pearson").values[0] + # corr_matrix["slide"]["tilt"] = slide.corrwith(tilt, method=self.circlineal) + corr_matrix.loc["tilt", "slide"] = slide.corrwith(tilt, method=self.circlineal).values[0] + # corr_matrix["slide"]["roll"] = slide.corrwith(roll, method=self.circlineal) + corr_matrix.loc["roll", "slide"] = slide.corrwith(roll, method=self.circlineal).values[0] + # corr_matrix["slide"]["twist"] = slide.corrwith(twist, method=self.circlineal) + corr_matrix.loc["twist", "slide"] = slide.corrwith(twist, method=self.circlineal).values[0] # symmetric values - corr_matrix["rise"]["slide"] = corr_matrix["slide"]["rise"] - corr_matrix["tilt"]["slide"] = corr_matrix["slide"]["tilt"] - corr_matrix["roll"]["slide"] = corr_matrix["slide"]["roll"] - corr_matrix["twist"]["slide"] = corr_matrix["slide"]["twist"] + # corr_matrix["rise"]["slide"] = corr_matrix["slide"]["rise"] + corr_matrix.loc["slide", "rise"] = corr_matrix.loc["rise", "slide"] + # corr_matrix["tilt"]["slide"] = corr_matrix["slide"]["tilt"] + corr_matrix.loc["slide", "tilt"] = corr_matrix.loc["tilt", "slide"] + # corr_matrix["roll"]["slide"] = corr_matrix["slide"]["roll"] + corr_matrix.loc["slide", "roll"] = corr_matrix.loc["roll", "slide"] + # corr_matrix["twist"]["slide"] = corr_matrix["slide"]["twist"] + corr_matrix.loc["slide", "twist"] = corr_matrix.loc["twist", "slide"] # rise - corr_matrix["rise"]["tilt"] = rise.corrwith( - tilt, method=self.circlineal) - corr_matrix["rise"]["roll"] = rise.corrwith( - roll, method=self.circlineal) - corr_matrix["rise"]["twist"] = rise.corrwith( - twist, method=self.circlineal) + # corr_matrix["rise"]["tilt"] = rise.corrwith(tilt, method=self.circlineal) + corr_matrix.loc["tilt", "rise"] = rise.corrwith(tilt, method=self.circlineal).values[0] + # corr_matrix["rise"]["roll"] = rise.corrwith(roll, method=self.circlineal) + corr_matrix.loc["roll", "rise"] = rise.corrwith(roll, method=self.circlineal).values[0] + # corr_matrix["rise"]["twist"] = rise.corrwith(twist, method=self.circlineal) + corr_matrix.loc["twist", "rise"] = rise.corrwith(twist, method=self.circlineal).values[0] # symmetric values - corr_matrix["tilt"]["rise"] = corr_matrix["rise"]["tilt"] - corr_matrix["roll"]["rise"] = corr_matrix["rise"]["roll"] - corr_matrix["twist"]["rise"] = corr_matrix["rise"]["twist"] + # corr_matrix["tilt"]["rise"] = corr_matrix["rise"]["tilt"] + corr_matrix.loc["rise", "tilt"] = corr_matrix.loc["tilt", "rise"] + # corr_matrix["roll"]["rise"] = corr_matrix["rise"]["roll"] + corr_matrix.loc["rise", "roll"] = corr_matrix.loc["roll", "rise"] + # corr_matrix["twist"]["rise"] = corr_matrix["rise"]["twist"] + corr_matrix.loc["rise", "twist"] = corr_matrix.loc["twist", "rise"] # tilt - corr_matrix["tilt"]["roll"] = tilt.corrwith(roll, method=self.circular) - corr_matrix["tilt"]["twist"] = tilt.corrwith( - twist, method=self.circular) + # corr_matrix["tilt"]["roll"] = tilt.corrwith(roll, method=self.circular) + corr_matrix.loc["roll", "tilt"] = tilt.corrwith(roll, method=self.circular).values[0] + # corr_matrix["tilt"]["twist"] = tilt.corrwith(twist, method=self.circular) + corr_matrix.loc["twist", "tilt"] = tilt.corrwith(twist, method=self.circular).values[0] # symmetric values - corr_matrix["roll"]["tilt"] = corr_matrix["tilt"]["roll"] - corr_matrix["twist"]["tilt"] = corr_matrix["tilt"]["twist"] + # corr_matrix["roll"]["tilt"] = corr_matrix["tilt"]["roll"] + corr_matrix.loc["tilt", "roll"] = corr_matrix.loc["roll", "tilt"] + # corr_matrix["twist"]["tilt"] = corr_matrix["tilt"]["twist"] + corr_matrix.loc["tilt", "twist"] = corr_matrix.loc["twist", "tilt"] # roll - corr_matrix["roll"]["twist"] = roll.corrwith( - twist, method=self.circular) + # corr_matrix["roll"]["twist"] = roll.corrwith(twist, method=self.circular) + corr_matrix.loc["twist", "roll"] = roll.corrwith(twist, method=self.circular).values[0] # symmetric values - corr_matrix["twist"]["roll"] = corr_matrix["roll"]["twist"] + # corr_matrix["twist"]["roll"] = corr_matrix["roll"]["twist"] + corr_matrix.loc["roll", "twist"] = corr_matrix.loc["twist", "roll"] # save csv data - corr_matrix.to_csv(self.io_dict["out"]["output_csv_path"]) + corr_matrix.to_csv(self.stage_io_dict["out"]["output_csv_path"]) # create heatmap fig, axs = plt.subplots(1, 1, dpi=300, tight_layout=True) @@ -208,14 +222,16 @@ def launch(self) -> int: f"for Base Pair Step \'{self.basepair}\'") fig.tight_layout() fig.savefig( - self.io_dict['out']['output_jpg_path'], + self.stage_io_dict['out']['output_jpg_path'], format="jpg") plt.close() + # Copy files to host + self.copy_to_host() + # Remove temporary file(s) self.tmp_files.extend([ self.stage_io_dict.get("unique_dir"), - self.tmp_folder ]) self.remove_tmp_files() diff --git a/biobb_dna/interbp_correlations/interseqcorr.py b/biobb_dna/interbp_correlations/interseqcorr.py index a5cb27a4..cfa561ea 100755 --- a/biobb_dna/interbp_correlations/interseqcorr.py +++ b/biobb_dna/interbp_correlations/interseqcorr.py @@ -9,7 +9,6 @@ from biobb_common.generic.biobb_object import BiobbObject from biobb_common.configuration import settings -from biobb_common.tools import file_utils as fu from biobb_common.tools.file_utils import launchlogger from biobb_dna.utils.loader import read_series from biobb_dna.utils import constants @@ -102,7 +101,7 @@ def launch(self) -> int: if self.helpar_name is None: for hp in constants.helical_parameters: if hp.lower() in Path( - self.io_dict['in']['input_ser_path']).name.lower(): + self.stage_io_dict['in']['input_ser_path']).name.lower(): self.helpar_name = hp if self.helpar_name is None: raise ValueError( @@ -126,13 +125,9 @@ def launch(self) -> int: raise ValueError( "seqpos must be a list of at least two integers") - # Creating temporary folder - self.tmp_folder = fu.create_unique_dir(prefix="bpcorrelation_") - fu.log('Creating %s temporary folder' % self.tmp_folder, self.out_log) - # read input .ser file ser_data = read_series( - self.io_dict['in']['input_ser_path'], + self.stage_io_dict['in']['input_ser_path'], usecols=self.seqpos) if self.seqpos is None: ser_data = ser_data[ser_data.columns[1:-1]] @@ -148,7 +143,7 @@ def launch(self) -> int: corr_data = ser_data.corr(method=self.method) # save csv data - corr_data.to_csv(self.io_dict["out"]["output_csv_path"]) + corr_data.to_csv(self.stage_io_dict["out"]["output_csv_path"]) # create heatmap fig, axs = plt.subplots(1, 1, dpi=300, tight_layout=True) @@ -172,14 +167,16 @@ def launch(self) -> int: f"for Helical Parameter \'{self.helpar_name}\'") fig.tight_layout() fig.savefig( - self.io_dict['out']['output_jpg_path'], + self.stage_io_dict['out']['output_jpg_path'], format="jpg") plt.close() + # Copy files to host + self.copy_to_host() + # Remove temporary file(s) self.tmp_files.extend([ - self.stage_io_dict.get("unique_dir"), - self.tmp_folder + self.stage_io_dict.get("unique_dir") ]) self.remove_tmp_files() diff --git a/biobb_dna/intrabp_correlations/intrabpcorr.py b/biobb_dna/intrabp_correlations/intrabpcorr.py index 8856939d..e78b2f05 100755 --- a/biobb_dna/intrabp_correlations/intrabpcorr.py +++ b/biobb_dna/intrabp_correlations/intrabpcorr.py @@ -11,7 +11,6 @@ from biobb_common.generic.biobb_object import BiobbObject from biobb_common.configuration import settings -from biobb_common.tools import file_utils as fu from biobb_common.tools.file_utils import launchlogger from biobb_dna.utils.loader import read_series from biobb_dna.utils import constants @@ -118,23 +117,19 @@ def launch(self) -> int: raise ValueError( "seqpos must be a list of at least two integers") - # Creating temporary folder - self.tmp_folder = fu.create_unique_dir(prefix="bpcorrelation_") - fu.log('Creating %s temporary folder' % self.tmp_folder, self.out_log) - # read input shear = read_series( - self.io_dict["in"]["input_filename_shear"], usecols=self.seqpos) + self.stage_io_dict["in"]["input_filename_shear"], usecols=self.seqpos) stretch = read_series( - self.io_dict["in"]["input_filename_stretch"], usecols=self.seqpos) + self.stage_io_dict["in"]["input_filename_stretch"], usecols=self.seqpos) stagger = read_series( - self.io_dict["in"]["input_filename_stagger"], usecols=self.seqpos) + self.stage_io_dict["in"]["input_filename_stagger"], usecols=self.seqpos) buckle = read_series( - self.io_dict["in"]["input_filename_buckle"], usecols=self.seqpos) + self.stage_io_dict["in"]["input_filename_buckle"], usecols=self.seqpos) propel = read_series( - self.io_dict["in"]["input_filename_propel"], usecols=self.seqpos) + self.stage_io_dict["in"]["input_filename_propel"], usecols=self.seqpos) opening = read_series( - self.io_dict["in"]["input_filename_opening"], usecols=self.seqpos) + self.stage_io_dict["in"]["input_filename_opening"], usecols=self.seqpos) if self.seqpos is None: # drop first and last columns @@ -196,7 +191,7 @@ def launch(self) -> int: result_df.index = corr_index # save csv data - result_df.to_csv(self.io_dict["out"]["output_csv_path"]) + result_df.to_csv(self.stage_io_dict["out"]["output_csv_path"]) # create heatmap cmap = plt.get_cmap("bwr").copy() @@ -228,14 +223,16 @@ def launch(self) -> int: fig.tight_layout() fig.savefig( - self.io_dict['out']['output_jpg_path'], + self.stage_io_dict['out']['output_jpg_path'], format="jpg") plt.close() + # Copy files to host + self.copy_to_host() + # Remove temporary file(s) self.tmp_files.extend([ - self.stage_io_dict.get("unique_dir"), - self.tmp_folder + self.stage_io_dict.get("unique_dir") ]) self.remove_tmp_files() diff --git a/biobb_dna/intrabp_correlations/intrahpcorr.py b/biobb_dna/intrabp_correlations/intrahpcorr.py index bdf6cd73..520fb6a2 100755 --- a/biobb_dna/intrabp_correlations/intrahpcorr.py +++ b/biobb_dna/intrabp_correlations/intrahpcorr.py @@ -9,7 +9,6 @@ from biobb_common.generic.biobb_object import BiobbObject from biobb_common.configuration import settings -from biobb_common.tools import file_utils as fu from biobb_common.tools.file_utils import launchlogger from biobb_dna.utils.loader import load_data @@ -106,17 +105,13 @@ def launch(self) -> int: return 0 self.stage_files() - # Creating temporary folder - self.tmp_folder = fu.create_unique_dir(prefix="hpcorrelation_") - fu.log('Creating %s temporary folder' % self.tmp_folder, self.out_log) - # read input - shear = load_data(self.io_dict["in"]["input_filename_shear"]) - stretch = load_data(self.io_dict["in"]["input_filename_stretch"]) - stagger = load_data(self.io_dict["in"]["input_filename_stagger"]) - buckle = load_data(self.io_dict["in"]["input_filename_buckle"]) - propel = load_data(self.io_dict["in"]["input_filename_propel"]) - opening = load_data(self.io_dict["in"]["input_filename_opening"]) + shear = load_data(self.stage_io_dict["in"]["input_filename_shear"]) + stretch = load_data(self.stage_io_dict["in"]["input_filename_stretch"]) + stagger = load_data(self.stage_io_dict["in"]["input_filename_stagger"]) + buckle = load_data(self.stage_io_dict["in"]["input_filename_buckle"]) + propel = load_data(self.stage_io_dict["in"]["input_filename_propel"]) + opening = load_data(self.stage_io_dict["in"]["input_filename_opening"]) # get base if self.base is None: @@ -130,67 +125,82 @@ def launch(self) -> int: np.eye(6, 6), index=coordinates, columns=coordinates) # shear - corr_matrix["shear"]["stretch"] = shear.corrwith( - stretch, method="pearson") - corr_matrix["shear"]["stagger"] = shear.corrwith( - stagger, method="pearson") - corr_matrix["shear"]["buckle"] = shear.corrwith( - buckle, method=self.circlineal) - corr_matrix["shear"]["propel"] = shear.corrwith( - propel, method=self.circlineal) - corr_matrix["shear"]["opening"] = shear.corrwith( - opening, method=self.circlineal) + # corr_matrix["shear"]["stretch"] = shear.corrwith(stretch, method="pearson") + corr_matrix.loc["stretch", "shear"] = shear.corrwith(stretch, method="pearson").values[0] + # corr_matrix["shear"]["stagger"] = shear.corrwith(stagger, method="pearson") + corr_matrix.loc["stagger", "shear"] = shear.corrwith(stagger, method="pearson").values[0] + # corr_matrix["shear"]["buckle"] = shear.corrwith(buckle, method=self.circlineal) + corr_matrix.loc["buckle", "shear"] = shear.corrwith(buckle, method=self.circlineal).values[0] + # corr_matrix["shear"]["propel"] = shear.corrwith(propel, method=self.circlineal) + corr_matrix.loc["propel", "shear"] = shear.corrwith(propel, method=self.circlineal).values[0] + # corr_matrix["shear"]["opening"] = shear.corrwith(opening, method=self.circlineal) + corr_matrix.loc["opening", "shear"] = shear.corrwith(opening, method=self.circlineal).values[0] # symmetric values - corr_matrix["stretch"]["shear"] = corr_matrix["shear"]["stretch"] - corr_matrix["stagger"]["shear"] = corr_matrix["shear"]["stagger"] - corr_matrix["buckle"]["shear"] = corr_matrix["shear"]["buckle"] - corr_matrix["propel"]["shear"] = corr_matrix["shear"]["propel"] - corr_matrix["opening"]["shear"] = corr_matrix["shear"]["opening"] + # corr_matrix["stretch"]["shear"] = corr_matrix["shear"]["stretch"] + corr_matrix.loc["shear", "stretch"] = corr_matrix.loc["stretch", "shear"] + # corr_matrix["stagger"]["shear"] = corr_matrix["shear"]["stagger"] + corr_matrix.loc["shear", "stagger"] = corr_matrix.loc["stagger", "shear"] + # corr_matrix["buckle"]["shear"] = corr_matrix["shear"]["buckle"] + corr_matrix.loc["shear", "buckle"] = corr_matrix.loc["buckle", "shear"] + # corr_matrix["propel"]["shear"] = corr_matrix["shear"]["propel"] + corr_matrix.loc["shear", "propel"] = corr_matrix.loc["propel", "shear"] + # corr_matrix["opening"]["shear"] = corr_matrix["shear"]["opening"] + corr_matrix.loc["shear", "opening"] = corr_matrix.loc["opening", "shear"] # stretch - corr_matrix["stretch"]["stagger"] = stretch.corrwith( - stagger, method="pearson") - corr_matrix["stretch"]["buckle"] = stretch.corrwith( - buckle, method=self.circlineal) - corr_matrix["stretch"]["propel"] = stretch.corrwith( - propel, method=self.circlineal) - corr_matrix["stretch"]["opening"] = stretch.corrwith( - opening, method=self.circlineal) + # corr_matrix["stretch"]["stagger"] = stretch.corrwith(stagger, method="pearson") + corr_matrix.loc["stagger", "stretch"] = stretch.corrwith(stagger, method="pearson").values[0] + # corr_matrix["stretch"]["buckle"] = stretch.corrwith(buckle, method=self.circlineal) + corr_matrix.loc["buckle", "stretch"] = stretch.corrwith(buckle, method=self.circlineal).values[0] + # corr_matrix["stretch"]["propel"] = stretch.corrwith(propel, method=self.circlineal) + corr_matrix.loc["propel", "stretch"] = stretch.corrwith(propel, method=self.circlineal).values[0] + # corr_matrix["stretch"]["opening"] = stretch.corrwith(opening, method=self.circlineal) + corr_matrix.loc["opening", "stretch"] = stretch.corrwith(opening, method=self.circlineal).values[0] # symmetric values - corr_matrix["stagger"]["stretch"] = corr_matrix["stretch"]["stagger"] - corr_matrix["buckle"]["stretch"] = corr_matrix["stretch"]["buckle"] - corr_matrix["propel"]["stretch"] = corr_matrix["stretch"]["propel"] - corr_matrix["opening"]["stretch"] = corr_matrix["stretch"]["opening"] + # corr_matrix["stagger"]["stretch"] = corr_matrix["stretch"]["stagger"] + corr_matrix.loc["stretch", "stagger"] = corr_matrix.loc["stagger", "stretch"] + # corr_matrix["buckle"]["stretch"] = corr_matrix["stretch"]["buckle"] + corr_matrix.loc["stretch", "buckle"] = corr_matrix.loc["buckle", "stretch"] + # corr_matrix["propel"]["stretch"] = corr_matrix["stretch"]["propel"] + corr_matrix.loc["stretch", "propel"] = corr_matrix.loc["propel", "stretch"] + # corr_matrix["opening"]["stretch"] = corr_matrix["stretch"]["opening"] + corr_matrix.loc["stretch", "opening"] = corr_matrix.loc["opening", "stretch"] # stagger - corr_matrix["stagger"]["buckle"] = stagger.corrwith( - buckle, method=self.circlineal) - corr_matrix["stagger"]["propel"] = stagger.corrwith( - propel, method=self.circlineal) - corr_matrix["stagger"]["opening"] = stagger.corrwith( - opening, method=self.circlineal) + # corr_matrix["stagger"]["buckle"] = stagger.corrwith(buckle, method=self.circlineal) + corr_matrix.loc["buckle", "stagger"] = stagger.corrwith(buckle, method=self.circlineal).values[0] + # corr_matrix["stagger"]["propel"] = stagger.corrwith(propel, method=self.circlineal) + corr_matrix.loc["propel", "stagger"] = stagger.corrwith(propel, method=self.circlineal).values[0] + # corr_matrix["stagger"]["opening"] = stagger.corrwith(opening, method=self.circlineal) + corr_matrix.loc["opening", "stagger"] = stagger.corrwith(opening, method=self.circlineal).values[0] # symmetric values - corr_matrix["buckle"]["stagger"] = corr_matrix["stagger"]["buckle"] - corr_matrix["propel"]["stagger"] = corr_matrix["stagger"]["propel"] - corr_matrix["opening"]["stagger"] = corr_matrix["stagger"]["opening"] + # corr_matrix["buckle"]["stagger"] = corr_matrix["stagger"]["buckle"] + corr_matrix.loc["stagger", "buckle"] = corr_matrix.loc["buckle", "stagger"] + # corr_matrix["propel"]["stagger"] = corr_matrix["stagger"]["propel"] + corr_matrix.loc["stagger", "propel"] = corr_matrix.loc["propel", "stagger"] + # corr_matrix["opening"]["stagger"] = corr_matrix["stagger"]["opening"] + corr_matrix.loc["stagger", "opening"] = corr_matrix.loc["opening", "stagger"] # buckle - corr_matrix["buckle"]["propel"] = buckle.corrwith( - propel, method=self.circular) - corr_matrix["buckle"]["opening"] = buckle.corrwith( - opening, method=self.circular) + # corr_matrix["buckle"]["propel"] = buckle.corrwith(propel, method=self.circular) + corr_matrix.loc["propel", "buckle"] = buckle.corrwith(propel, method=self.circular).values[0] + # corr_matrix["buckle"]["opening"] = buckle.corrwith(opening, method=self.circular) + corr_matrix.loc["opening", "buckle"] = buckle.corrwith(opening, method=self.circular).values[0] # symmetric values - corr_matrix["propel"]["buckle"] = corr_matrix["buckle"]["propel"] - corr_matrix["opening"]["buckle"] = corr_matrix["buckle"]["opening"] + # corr_matrix["propel"]["buckle"] = corr_matrix["buckle"]["propel"] + corr_matrix.loc["buckle", "propel"] = corr_matrix.loc["propel", "buckle"] + # corr_matrix["opening"]["buckle"] = corr_matrix["buckle"]["opening"] + corr_matrix.loc["buckle", "opening"] = corr_matrix.loc["opening", "buckle"] # propel - corr_matrix["propel"]["opening"] = propel.corrwith( - opening, method=self.circular) + # corr_matrix["propel"]["opening"] = propel.corrwith(opening, method=self.circular) + corr_matrix.loc["opening", "propel"] = propel.corrwith(opening, method=self.circular).values[0] # symmetric values - corr_matrix["opening"]["propel"] = corr_matrix["propel"]["opening"] + # corr_matrix["opening"]["propel"] = corr_matrix["propel"]["opening"] + corr_matrix.loc["propel", "opening"] = corr_matrix.loc["opening", "propel"] # save csv data - corr_matrix.to_csv(self.io_dict["out"]["output_csv_path"]) + corr_matrix.to_csv(self.stage_io_dict["out"]["output_csv_path"]) # create heatmap fig, axs = plt.subplots(1, 1, dpi=300, tight_layout=True) @@ -214,14 +224,16 @@ def launch(self) -> int: f"for Base Pair Step \'{self.base}\'") fig.tight_layout() fig.savefig( - self.io_dict['out']['output_jpg_path'], + self.stage_io_dict['out']['output_jpg_path'], format="jpg") plt.close() + # Copy files to host + self.copy_to_host() + # Remove temporary file(s) self.tmp_files.extend([ - self.stage_io_dict.get("unique_dir"), - self.tmp_folder + self.stage_io_dict.get("unique_dir") ]) self.remove_tmp_files() diff --git a/biobb_dna/intrabp_correlations/intraseqcorr.py b/biobb_dna/intrabp_correlations/intraseqcorr.py index 013d6753..b38e0531 100755 --- a/biobb_dna/intrabp_correlations/intraseqcorr.py +++ b/biobb_dna/intrabp_correlations/intraseqcorr.py @@ -9,7 +9,6 @@ from biobb_common.generic.biobb_object import BiobbObject from biobb_common.configuration import settings -from biobb_common.tools import file_utils as fu from biobb_common.tools.file_utils import launchlogger from biobb_dna.utils.loader import read_series from biobb_dna.utils import constants @@ -98,7 +97,7 @@ def launch(self) -> int: if self.helpar_name is None: for hp in constants.helical_parameters: if hp.lower() in Path( - self.io_dict['in']['input_ser_path']).name.lower(): + self.stage_io_dict['in']['input_ser_path']).name.lower(): self.helpar_name = hp if self.helpar_name is None: raise ValueError( @@ -122,13 +121,9 @@ def launch(self) -> int: raise ValueError( "seqpos must be a list of at least two integers") - # Creating temporary folder - self.tmp_folder = fu.create_unique_dir(prefix="bpcorrelation_") - fu.log('Creating %s temporary folder' % self.tmp_folder, self.out_log) - # read input .ser file ser_data = read_series( - self.io_dict['in']['input_ser_path'], + self.stage_io_dict['in']['input_ser_path'], usecols=self.seqpos) if self.seqpos is None: ser_data = ser_data[ser_data.columns[1:-1]] @@ -144,7 +139,7 @@ def launch(self) -> int: corr_data = ser_data.corr(method=self.method) # save csv data - corr_data.to_csv(self.io_dict["out"]["output_csv_path"]) + corr_data.to_csv(self.stage_io_dict["out"]["output_csv_path"]) # create heatmap fig, axs = plt.subplots(1, 1, dpi=300, tight_layout=True) @@ -168,14 +163,16 @@ def launch(self) -> int: f"for Helical Parameter \'{self.helpar_name}\'") fig.tight_layout() fig.savefig( - self.io_dict['out']['output_jpg_path'], + self.stage_io_dict['out']['output_jpg_path'], format="jpg") plt.close() + # Copy files to host + self.copy_to_host() + # Remove temporary file(s) self.tmp_files.extend([ - self.stage_io_dict.get("unique_dir"), - self.tmp_folder + self.stage_io_dict.get("unique_dir") ]) self.remove_tmp_files() diff --git a/biobb_dna/json_schemas/biobb_canion.json b/biobb_dna/json_schemas/biobb_canion.json index dd50044a..509872e4 100644 --- a/biobb_dna/json_schemas/biobb_canion.json +++ b/biobb_dna/json_schemas/biobb_canion.json @@ -19,7 +19,8 @@ "required": [ "input_cdi_path", "input_afr_path", - "input_avg_struc_path" + "input_avg_struc_path", + "output_zip_path" ], "properties": { "input_cdi_path": { diff --git a/biobb_dna/json_schemas/biobb_curves.json b/biobb_dna/json_schemas/biobb_curves.json index b056aaf2..a56444fb 100644 --- a/biobb_dna/json_schemas/biobb_curves.json +++ b/biobb_dna/json_schemas/biobb_curves.json @@ -108,7 +108,7 @@ "type": "string", "description": "Filename for .zip files containing Curves+ output that is not .cda or .lis files", "filetype": "output", - "sample": null, + "sample": "https://raw.githubusercontent.com/bioexcel/biobb_dna/master/biobb_dna/test/reference/curvesplus/curves_trj_output.zip", "enum": [ ".*\\.zip$" ], diff --git a/biobb_dna/stiffness/average_stiffness.py b/biobb_dna/stiffness/average_stiffness.py index 4e079570..d473af37 100755 --- a/biobb_dna/stiffness/average_stiffness.py +++ b/biobb_dna/stiffness/average_stiffness.py @@ -1,7 +1,6 @@ #!/usr/bin/env python3 """Module containing the AverageStiffness class and the command line interface.""" -import shutil import argparse from pathlib import Path @@ -12,7 +11,6 @@ from biobb_dna.utils.loader import read_series from biobb_common.generic.biobb_object import BiobbObject from biobb_common.tools.file_utils import launchlogger -from biobb_common.tools import file_utils as fu from biobb_common.configuration import settings @@ -105,7 +103,7 @@ def launch(self) -> int: if self.helpar_name is None: for hp in constants.helical_parameters: if hp.lower() in Path( - self.io_dict['in']['input_ser_path']).name.lower(): + self.stage_io_dict['in']['input_ser_path']).name.lower(): self.helpar_name = hp if self.helpar_name is None: raise ValueError( @@ -134,16 +132,9 @@ def launch(self) -> int: raise ValueError( "seqpos must be a list of at least two integers") - # Creating temporary folder - self.tmp_folder = fu.create_unique_dir(prefix="avgstiffness_") - fu.log('Creating %s temporary folder' % self.tmp_folder, self.out_log) - - # Copy input_file_path1 to temporary folder - shutil.copy(self.io_dict['in']['input_ser_path'], self.tmp_folder) - # read input .ser file ser_data = read_series( - self.io_dict['in']['input_ser_path'], + self.stage_io_dict['in']['input_ser_path'], usecols=self.seqpos) if self.seqpos is None: ser_data = ser_data[ser_data.columns[1:-1]] @@ -177,7 +168,7 @@ def launch(self) -> int: "Base Pair Helical Parameter Stiffness: " f"{self.helpar_name.capitalize()}") fig.savefig( - self.io_dict['out']['output_jpg_path'], + self.stage_io_dict['out']['output_jpg_path'], format="jpg") # save table @@ -185,14 +176,16 @@ def launch(self) -> int: data=avg_stiffness, index=xlabels, columns=[f"{self.helpar_name}_stiffness"]) - dataset.to_csv(self.io_dict['out']['output_csv_path']) + dataset.to_csv(self.stage_io_dict['out']['output_csv_path']) plt.close() + # Copy files to host + self.copy_to_host() + # Remove temporary file(s) self.tmp_files.extend([ - self.stage_io_dict.get("unique_dir"), - self.tmp_folder + self.stage_io_dict.get("unique_dir") ]) self.remove_tmp_files() diff --git a/biobb_dna/stiffness/basepair_stiffness.py b/biobb_dna/stiffness/basepair_stiffness.py index 1b43dba0..aac015e4 100755 --- a/biobb_dna/stiffness/basepair_stiffness.py +++ b/biobb_dna/stiffness/basepair_stiffness.py @@ -10,7 +10,6 @@ from biobb_common.generic.biobb_object import BiobbObject from biobb_common.configuration import settings -from biobb_common.tools import file_utils as fu from biobb_common.tools.file_utils import launchlogger from biobb_dna.utils.loader import load_data @@ -110,23 +109,19 @@ def launch(self) -> int: return 0 self.stage_files() - # Creating temporary folder - self.tmp_folder = fu.create_unique_dir(prefix="bp_stiffness_") - fu.log('Creating %s temporary folder' % self.tmp_folder, self.out_log) - # read input shift = load_data( - self.io_dict["in"]["input_filename_shift"]) + self.stage_io_dict["in"]["input_filename_shift"]) slide = load_data( - self.io_dict["in"]["input_filename_slide"]) + self.stage_io_dict["in"]["input_filename_slide"]) rise = load_data( - self.io_dict["in"]["input_filename_rise"]) + self.stage_io_dict["in"]["input_filename_rise"]) tilt = load_data( - self.io_dict["in"]["input_filename_tilt"]) + self.stage_io_dict["in"]["input_filename_tilt"]) roll = load_data( - self.io_dict["in"]["input_filename_roll"]) + self.stage_io_dict["in"]["input_filename_roll"]) twist = load_data( - self.io_dict["in"]["input_filename_twist"]) + self.stage_io_dict["in"]["input_filename_twist"]) # build matrix cols_arr from helpar input data files coordinates = ["shift", "slide", "rise", "tilt", "roll", "twist"] @@ -146,7 +141,7 @@ def launch(self) -> int: stiff_df.index.name = basepairname # save csv data - stiff_df.to_csv(Path(self.io_dict["out"]["output_csv_path"])) + stiff_df.to_csv(Path(self.stage_io_dict["out"]["output_csv_path"])) # create heatmap fig, axs = plt.subplots(1, 1, dpi=300, tight_layout=True) @@ -175,14 +170,16 @@ def launch(self) -> int: f"Stiffness Constants for Base Pair Step \'{basepairname}\'") fig.tight_layout() fig.savefig( - self.io_dict['out']['output_jpg_path'], + self.stage_io_dict['out']['output_jpg_path'], format="jpg") plt.close() + # Copy files to host + self.copy_to_host() + # Remove temporary file(s) self.tmp_files.extend([ - self.stage_io_dict.get("unique_dir"), - self.tmp_folder + self.stage_io_dict.get("unique_dir") ]) self.remove_tmp_files() diff --git a/biobb_dna/test/conf.yml b/biobb_dna/test/conf.yml index 48f115d9..352072dc 100755 --- a/biobb_dna/test/conf.yml +++ b/biobb_dna/test/conf.yml @@ -8,8 +8,11 @@ biobb_curves: ref_cda_output: file:test_reference_dir/curvesplus/curves_trj_output.cda output_lis_path: curves_output.lis ref_lis_output: file:test_reference_dir/curvesplus/curves_trj_output.lis + output_zip_path: curves_output.zip + ref_zip_output: file:test_reference_dir/curvesplus/curves_trj_output.zip properties: s1range: "1:12" + ions: True biobb_canal: paths: diff --git a/biobb_dna/test/data/config/config_biobb_curves.json b/biobb_dna/test/data/config/config_biobb_curves.json index bfc5bc68..0cc05f93 100644 --- a/biobb_dna/test/data/config/config_biobb_curves.json +++ b/biobb_dna/test/data/config/config_biobb_curves.json @@ -1,5 +1,6 @@ { "properties": { - "s1range": "1:12" + "s1range": "1:12", + "ions": true } } \ No newline at end of file diff --git a/biobb_dna/test/data/config/config_biobb_curves.yml b/biobb_dna/test/data/config/config_biobb_curves.yml index 14860601..c0e4bbdf 100644 --- a/biobb_dna/test/data/config/config_biobb_curves.yml +++ b/biobb_dna/test/data/config/config_biobb_curves.yml @@ -1,2 +1,3 @@ properties: + ions: true s1range: '1:12' diff --git a/biobb_dna/test/reference/correlation/inter_bpcorr_ref.csv b/biobb_dna/test/reference/correlation/inter_bpcorr_ref.csv index bd886948..66aea30c 100644 --- a/biobb_dna/test/reference/correlation/inter_bpcorr_ref.csv +++ b/biobb_dna/test/reference/correlation/inter_bpcorr_ref.csv @@ -1,10 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a/biobb_dna/test/reference/curvesplus/curves_trj_output.lis +++ b/biobb_dna/test/reference/curvesplus/curves_trj_output.lis @@ -1,6 +1,6 @@ ************************************** ************** - **** CURVES+ Version 3.0nc 09/2016 *** * 25 Apr 23 * + **** CURVES+ Version 3.0nc 09/2016 *** * 13 Jun 24 * ************************************** ************** @@ -15,7 +15,7 @@ naxlim: 0 circ : F LINE : F zaxe : F FIT : T TEST : F - IONS : F refo : F AXFRM : F frames: F + IONS : T refo : F AXFRM : F frames: F Strands = 2 Atoms = 486 Units = 24 @@ -24,3 +24,6 @@ Strand 1 has 12 bases (5'-3'): CGCGAATTCGCG Strand 2 has 12 bases (3'-5'): GCGCTTAAGCGC + + ... trj loop read 5000 snapshots + diff --git a/biobb_dna/test/reference/curvesplus/curves_trj_output.zip b/biobb_dna/test/reference/curvesplus/curves_trj_output.zip new file mode 100644 index 0000000000000000000000000000000000000000..b737676fd808a12a07d8fff309e99435ea70c34c GIT binary patch literal 6132967 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b/biobb_dna/test/reference/stiffness/stiffbp_ref.csv @@ -1,6 +1,6 @@ AA,shift,slide,rise,tilt,roll,twist -shift,1.9135655915634375,0.8059220917918504,0.5212944167032804,-0.3725119927223808,0.1512899455055443,0.37573870281531696 -slide,0.8059220917918513,3.342279521005406,1.4368425417468509,-0.0020165358187512403,-0.5284889654178709,-1.9505824934077858 +shift,1.9135655915634375,0.8059220917918504,0.5212944167032804,-0.37251199272238067,0.1512899455055443,0.37573870281531696 +slide,0.8059220917918513,3.342279521005406,1.4368425417468509,-0.0020165358187514823,-0.5284889654178709,-1.9505824934077858 rise,0.5212944167032809,1.43684254174685,8.905135072587946,-2.426598581177785,-0.41138900512339976,-1.8577634850507159 tilt,-0.03514264082286606,-0.0001902392281839411,-0.22892439445073437,0.47579046336238906,-0.005310000224756655,0.06267883335179998 roll,0.01427263636844758,-0.04985744956772368,-0.03881028350220755,-0.005310000224756632,0.25498192951234083,0.060506478080526095 diff --git 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