def getHTML(self, params):
""" Run Widget 1 and generate HTML output for Results tab. """
# Validate input parameters.
cherrypy.log('Widget 1 input parameters: {0}'.format(params))
if not exists(params['correlation_file']):
cherrypy.log(
'Widget 1: correlation file "{0}" was not found'.format(
params['correlation_file']))
return 'Sorry, correlation file "{0}" was not found. Make sure the path to the file is correct.' \
.format(params['correlation_file'])
if not exists(params['representative_otu_file']):
cherrypy.log(
'Widget 1: representative OTU file "{0}" was not found'.format(
params['representative_otu_file']))
return 'Sorry, representative OTU file "{0}" was not found. Make sure the path to the file is correct.' \
.format(params['representative_otu_file'])
if not exists(params['analysis_folder']):
try:
makedirs(params['analysis_folder'])
except Exception as e:
cherrypy.log(
'Widget 1: Error creating folder "{0}" for analysis files: {1}'
.format(params['analysis_folder'], e))
return 'Sorry something went wrong creating the folder "{0}" for the analysis files. Make sure ' \
'the path to the file is correct.<br><br>Exception: {1}'.format(params['analysis_folder'], e)
# Get the unique OTU sequences.
try:
cherrypy.log('Widget 1: Started getting unique OTU sequences')
get_unique_otu_sequences(
read_correlation_file(params['correlation_file']),
params['representative_otu_file'],
join(params['analysis_folder'], params['unique_otu_file']))
cherrypy.log("Widget 1: Finished getting unique OTU sequences")
except Exception as e:
cherrypy.log(
'Widget 1: Error getting unique OTU sequences: {0}'.format(e))
return "Sorry, something went wrong. Make sure the paths to your files are correct.<br><br>" \
"Exception: {0}.".format(e)
# Generate the output for the Results tab.
text = [
'Here are the OTUs that will be used in the rest of the analysis. You can find '
'the full sequences in the "{0}" file.<br>'.format(
params['unique_otu_file'])
]
with open(join(params['analysis_folder'], params['unique_otu_file']),
'r') as handle:
for line in handle:
if line.startswith('>'):
text.append('<br>{0}'.format(line))
return text
def test_representative(self, data_folder, test_folder):
correlations = mminte.read_correlation_file(join(data_folder, 'correlation.txt'))
sequence_filename = join(data_folder, 'all_otus.fasta')
unique_filename = join(test_folder, 'unique_otus.fasta')
num_sequences = mminte.get_unique_otu_sequences(correlations, sequence_filename, unique_filename)
assert num_sequences == 18
blast_filename = join(test_folder, 'blast.txt')
genome_ids, similarity = mminte.search(unique_filename, blast_filename)
assert len(genome_ids) == 18
assert len(similarity) == 18
assert '484018.6' in genome_ids
unlink(unique_filename)
unlink(blast_filename)
def test_bad_all_sequence_file(self, data_folder, test_folder):
correlations = mminte.read_correlation_file(join(data_folder, 'correlation.txt'))
sequence_filename = join(data_folder, 'BAD.fasta')
unique_filename = join(test_folder, 'unique_otus.fasta')
with pytest.raises(IOError):
mminte.get_unique_otu_sequences(correlations, sequence_filename, unique_filename)
def test_missing_otu(self, data_folder, test_folder):
correlations = mminte.read_correlation_file(join(data_folder, 'correlation.txt'))
sequence_filename = join(data_folder, 'missing.fasta')
unique_filename = join(test_folder, 'unique_otus.fasta')
with pytest.raises(ValueError):
mminte.get_unique_otu_sequences(correlations, sequence_filename, unique_filename)
def getHTML(self, params):
""" Run Widget All and generate HTML output for Results tab. """
# Validate input parameters.
cherrypy.log('Widget A input parameters: {0}'.format(params))
if not exists(params['correlation_file']):
cherrypy.log('Widget A: correlation file "{0}" was not found'.format(params['correlation_file']))
return 'Sorry, correlation file "{0}" was not found. Make sure the path to the file is correct.' \
.format(params['correlation_file'])
if not exists(params['representative_otu_file']):
cherrypy.log('Widget A: representative OTU file "{0}" was not found'
.format(params['representative_otu_file']))
return 'Sorry, representative OTU file "{0}" was not found. Make sure the path to the file is correct.' \
.format(params['representative_otu_file'])
if not exists(params['diet_file']):
cherrypy.log('Widget A: diet file "{0}" was not found'.format(params['diet_file']))
return 'Sorry, diet file "{0}" was not found. Make sure the path to the file is correct.' \
.format(params['diet_file'])
if not exists(params['analysis_folder']):
try:
makedirs(params['analysis_folder'])
except Exception as e:
cherrypy.log('Widget A: Error creating folder "{0}" for analysis files: {1}'
.format(params['analysis_folder'], e))
return 'Sorry, something went wrong creating the folder "{0}" for the analysis files. Make sure ' \
'the path to the file is correct.<br><br>Exception: {1}'.format(params['analysis_folder'], e)
# Widget 1 - Get the unique OTU sequences.
try:
cherrypy.log('Widget A1: Started getting unique OTU sequences')
unique_otus_file = join(params['analysis_folder'], 'unique_otus.fasta')
get_unique_otu_sequences(read_correlation_file(params['correlation_file']),
params['representative_otu_file'],
unique_otus_file)
cherrypy.log("Widget A1: Finished getting unique OTU sequences")
except Exception as e:
cherrypy.log('Widget A1: Error getting unique OTU sequences: {0}'.format(e))
return "Sorry, something went wrong. Make sure the paths to your files are correct.<br><br>" \
"Exception: {0}.".format(e)
# Widget 2 - Run blast search to find matching bacterial species.
try:
cherrypy.log('Widget A2: Started blast search for matching bacterial species')
blast_output_file = join(params['analysis_folder'], 'blast.txt')
genome_ids, similarity = search(unique_otus_file, blast_output_file)
with open(join(params['analysis_folder'], 'genome_ids.txt'), 'w') as handle:
handle.write('\n'.join(genome_ids)+'\n')
write_similarity_file(similarity, join(params['analysis_folder'], 'similarity.csv'))
cherrypy.log("Widget A2: Finished blast search")
except Exception as e:
cherrypy.log("Widget A2: Error running blast search: {0}".format(e))
return "Sorry, something went wrong. Make sure the paths to your files are correct and " \
"that the correct version of blast is installed.<br><br>Exception: {0}".format(e)
# Widget 3 - Create single species models using ModelSEED.
model_folder = join(params['analysis_folder'], 'single_models')
if not exists(model_folder):
try:
makedirs(model_folder)
except Exception as e:
cherrypy.log('Widget A3: Error creating folder "{0}" for model files: {1}'
.format(params['model_folder'], e))
return 'Sorry something went wrong creating the folder "{0}" for the model files. Make sure ' \
'the path to the folder is correct.<br><br>Exception: {1}'.format(params['model_folder'], e)
try:
cherrypy.log('Widget A3: Started creating models for {0} genomes'.format(len(genome_ids)))
single_filenames = create_species_models(genome_ids, model_folder)
output_filename = join(params['analysis_folder'], 'single_model_filenames.txt')
with open(output_filename, 'w') as handle:
handle.write('\n'.join(single_filenames)+'\n')
cherrypy.log('Widget A3: Finished creating and downloading {0} models'.format(len(single_filenames)))
except Exception as e:
cherrypy.log('Widget A3: Error creating models: {0}'.format(e))
return "Sorry, something went wrong creating metabolic models using ModelSEED.<br><br>" \
"Exception: {0}".format(e)
# Widget 4 - Create two species community models.
pair_model_folder = join(params['analysis_folder'], 'pair_models')
if not exists(pair_model_folder):
try:
makedirs(pair_model_folder)
except Exception as e:
cherrypy.log('Widget A4: We were unable to create folder "{0}" for community model files'
.format(pair_model_folder))
return 'Sorry, something went wrong creating the folder "{0}" for the community model files. ' \
'Make sure the path to the folder is correct.<br><br>Exception: {1}' \
.format(pair_model_folder, e)
try:
pairs = get_all_pairs(single_filenames)
cherrypy.log('Widget A4: Started creating community models from {0} pairs of single species models'
.format(len(pairs)))
pair_filenames = create_interaction_models(pairs, output_folder=pair_model_folder)
output_filename = join(params['analysis_folder'], 'pair_model_filenames.txt')
with open(output_filename, 'w') as handle:
handle.write('\n'.join(pair_filenames)+'\n')
cherrypy.log("Widget A4: Finished creating {0} community models".format(len(pair_filenames)))
except Exception as e:
cherrypy.log("Widget A4: Error creating community models: {0}".format(e))
return "Sorry, something went wrong. Make sure the path to your file is correct and " \
"that the Python package cobrapy is loaded into your system.<br><br>Exception: {0}".format(e)
# Widget 5 - Calculate growth rates for the two species models.
try:
cherrypy.log("Widget A5: Started calculating growth rates for {0} pair models"
.format(len(pair_filenames)))
medium = read_diet_file(params['diet_file'])
growth_rates = calculate_growth_rates(pair_filenames, medium)
write_growth_rates_file(growth_rates, join(params['analysis_folder'], 'growth_rates.csv'))
cherrypy.log("Widget A5: Finished calculating the growth rates")
except Exception as e:
cherrypy.log("Widget A5: Error calculating growth rates: {0}".format(e))
return "Sorry, something went wrong. Make sure the path to your file is correct.<br><br>" \
"Exception: {0}".format(e)
# Widget 6 - Generate data for plot of interaction network.
try:
cherrypy.log('Widget A6: Started generating data for plot of interaction network')
correlation = read_correlation_file(params['correlation_file'])
make_d3_source(growth_rates, join(params['analysis_folder'], 'data4plot.json'), similarity, correlation)
make_d3_source(growth_rates, self.getRoot().data4plot_filename(), similarity, correlation)
cherrypy.log('Widget A6: Finished generating data for plot of interaction network')
except Exception as e:
cherrypy.log('Widget A6: Error generating data for plot of network: {0}'.format(e))
return 'Sorry, something went wrong. Make sure the locations of your files are correct.<br><br>' \
'Exception: {0}'.format(e)
# Generate the output for the Results tab.
text = ["The plot with the network of interactions between your organisms is shown below or "
"on a new tab.<br><br>The shading of the nodes indicates how close the sequence of the "
"OTU is to the sequence of the genome. The darker the node, the higher the similarity.<br><br>"
"The length and thickness of the links reflect the association values on the initial "
"file you provided. The shorter and thicker the link, the higher the association value.<br><br>"
"The colors of the links reflect the kind of interaction. The red, green and grey "
"represent negative, positive and no interaction, respectively.<br><br>"
"<a href='http://d3js.org/'>D3 is awesome</a>! If you mouse over the nodes, you get "
"the ID of the OTU, and if you click a node and drag it, the network will follow it."]
if params['browser_tab'] == 'Current':
text.append(self.getRoot().widget6_out())
else:
webbrowser.open('http://localhost:8080/widget6_out', new=1)
return text