def test2(self): outdir = 'test/tmp/test_vistrans/Vis_test2/' make_clean_dir(outdir) stree = treelib.parse_newick(stree_newick) tree = treelib.read_tree(treefile2) brecon = phylo.read_brecon(breconfile2, tree, stree) transsvg.draw_tree(tree, brecon, stree, filename=outdir + "tree.svg")
def test3(self): outdir = 'test/tmp/test_vistrans/Vis_test3/' make_clean_dir(outdir) stree = treelib.parse_newick(stree_newick) tree = treelib.read_tree(treefile3) brecon = phylo.read_brecon(breconfile3, tree, stree) phylo.add_implied_spec_nodes_brecon(tree, brecon) phylo.write_brecon(open(outdir + 'brecon', 'w'), brecon) transsvg.draw_tree(tree, brecon, stree, filename=outdir + "tree.svg")
def process_files(*args): conn = tinys3.Connection(os.environ.get('AWS_ACCESS_KEY'), os.environ.get('AWS_SECRET_ACCESS_KEY'), default_bucket=os.environ.get('S3_BUCKET_NAME')) filename = args[0] url = "http://s3.amazonaws.com/{}/{}".format(os.environ.get('S3_BUCKET_NAME'), filename) urllib.urlretrieve(url, filename) raw_name = os.path.splitext(filename)[0] Reconcile(args) freqSummation(args) with open("{}freqFile.txt".format(raw_name)) as f: lines = f.readlines() score_list = ast.literal_eval(lines[0]) total_freq = float(lines[1][:-2]) total_recon = float(lines[3]) total_cost = float(lines[2][:-2]) scoring = args[4] if scoring == "Frequency": score_method = "Frequency" elif scoring == "xscape": score_method = "Xscape Scoring" else: score_method = "Unit Scoring" results_list = [] for x, score in enumerate(score_list): tree = treelib1.read_tree("{}.tree".format(raw_name)) stree = treelib1.read_tree("{}{}.stree".format(raw_name, x)) brecon = phylo.read_brecon("{}{}.mowgli.brecon".format(raw_name, x), tree, stree) output = "{}{}.svg".format(raw_name, x) phylo.add_implied_spec_nodes_brecon(tree, brecon) transsvg.draw_tree(tree, brecon, stree, filename=output) conn.upload(output, open(output, 'rb'), content_type='image/svg+xml') percent = 100.0 * score / total_freq running_tot_score = sum(score_list[:x]) running_tot = min(100.0 * running_tot_score / total_freq, 100) results_list.append((score, percent, running_tot)) return {'results_list': results_list, 'raw_name': raw_name, 'dup': args[1], 'trans': args[2], 'loss': args[3], 'total_cost': total_cost, 'score_method': score_method, 'total_freq': total_freq, 'total_recon': total_recon}
# parse options conf, args = o.parse_args() #gene2species = phylo.read_gene2species(conf.smap) stree = treelib1.read_tree(conf.stree) tree = treelib1.read_tree(conf.tree) if conf.names: snames = dict(util.read_delim(conf.names)) else: snames = None if conf.brecon: brecon = phylo.read_brecon(conf.brecon, tree, stree) elif conf.recon: recon, events = phylo.read_recon_events(conf.recon, tree, stree) brecon = phylo.recon_events2brecon(recon, events) else: gene2species = phylo.read_gene2species(conf.smap) recon = phylo.reconcile(tree, stree, gene2species) events = phylo.label_events(tree, recon) brecon = phylo.recon_events2brecon(recon, events) phylo.add_implied_spec_nodes_brecon(tree, brecon)
#============================================================================= # parse options conf, args = o.parse_args() #gene2species = phylo.read_gene2species(conf.smap) stree = treelib1.read_tree(conf.stree) tree = treelib1.read_tree(conf.tree) if conf.names: snames = dict(util.read_delim(conf.names)) else: snames = None if conf.brecon: brecon = phylo.read_brecon(conf.brecon, tree, stree) elif conf.recon: recon, events = phylo.read_recon_events(conf.recon, tree, stree) brecon = phylo.recon_events2brecon(recon, events) else: gene2species = phylo.read_gene2species(conf.smap) recon = phylo.reconcile(tree, stree, gene2species) events = phylo.label_events(tree, recon) brecon = phylo.recon_events2brecon(recon, events) phylo.add_implied_spec_nodes_brecon(tree, brecon) transsvg.draw_tree(tree, brecon, stree, filename=conf.output, snames=snames)