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authorPjotr Prins2017-03-07 10:02:12 +0000
committerPjotr Prins2017-03-07 10:02:12 +0000
commit9f809adc0a03604ae47cc05e0ff51229e2827ed6 (patch)
treefdc853c5869b1bbda5444d367f0d7198ba7006cd /wqflask
parentaf590c4b3f63b21cb7ddd72d256acc190b6905bb (diff)
downloadgenenetwork2-9f809adc0a03604ae47cc05e0ff51229e2827ed6.tar.gz
- Use locate_phewas for phewas filesphewas
- Use logger instead of print statements
Diffstat (limited to 'wqflask')
-rw-r--r--wqflask/utility/tools.py6
-rw-r--r--wqflask/wqflask/auwerx/phewas_analysis.py45
2 files changed, 30 insertions, 21 deletions
diff --git a/wqflask/utility/tools.py b/wqflask/utility/tools.py
index d71a9cef..4d213f4c 100644
--- a/wqflask/utility/tools.py
+++ b/wqflask/utility/tools.py
@@ -153,6 +153,9 @@ def locate(name, subdir=None):
if subdir: sys.stderr.write(subdir)
raise Exception("Can not locate "+name+" in "+base)
+def locate_phewas(name, subdir=None):
+ return locate(name,'/phewas/'+subdir)
+
def locate_ignore_error(name, subdir=None):
"""
Locate a static flat file in the GENENETWORK_FILES environment.
@@ -217,6 +220,7 @@ USE_REDIS = get_setting_bool('USE_REDIS')
USE_GN_SERVER = get_setting_bool('USE_GN_SERVER')
GENENETWORK_FILES = get_setting('GENENETWORK_FILES')
+PHEWAS_FILES = get_setting('GENENETWORK_FILES')+"/phewas"
# TEMP_TRAITS = get_setting('TEMP_TRAITS')
PYLMM_COMMAND = pylmm_command()
@@ -242,7 +246,7 @@ if os.environ.get('WQFLASK_OVERRIDES'):
OVERRIDES[k] = cmd
logger.debug(OVERRIDES)
-assert_file(get_setting("GENENETWORK_FILES")+"/auwerx/PheWAS_pval_EMMA_norm.RData")
+assert_file(PHEWAS_FILES+"/auwerx/PheWAS_pval_EMMA_norm.RData")
assert_dir(get_setting("JS_BIODALLIANCE"))
assert_file(get_setting("JS_BIODALLIANCE")+"/build/dalliance-all.js")
assert_file(get_setting("JS_BIODALLIANCE")+"/build/worker-all.js")
diff --git a/wqflask/wqflask/auwerx/phewas_analysis.py b/wqflask/wqflask/auwerx/phewas_analysis.py
index e9455fba..31f6ac5d 100644
--- a/wqflask/wqflask/auwerx/phewas_analysis.py
+++ b/wqflask/wqflask/auwerx/phewas_analysis.py
@@ -21,7 +21,10 @@ from base import trait as TRAIT
from base.trait import GeneralTrait
from utility import helper_functions
-from utility.tools import locate
+from utility.tools import locate, locate_phewas
+
+import utility.logger
+logger = utility.logger.getLogger(__name__ )
r_library = ro.r["library"] # Map the library function
r_options = ro.r["options"] # Map the options function
@@ -36,20 +39,20 @@ r_seq = ro.r["seq"] # Map the rep (repeat) function
class PheWAS(object):
def __init__(self):
- print("Initialization of PheWAS")
+ ("Initialization of PheWAS")
# TODO: Loading the package should only be done once, since it is quite expensive
- print(r_library("auwerx")) # Load the auwerx package
+ logger.info(r_library("auwerx")) # Load the auwerx package
self.r_create_Pheno_aligner = ro.r["create.Pheno_aligner"] # Map the create.Pheno_aligner function
self.r_calculate_all_pvalue_parallel = ro.r["calculate.all.pvalue.parallel"] # Map the calculate.all.pvalue.parallel function
self.r_PheWASManhattan = ro.r["PheWASManhattan"] # Map the PheWASManhattan function
self.r_Stop = ro.r["throwStopError"] # Map the PheWASManhattan function
self.r_PyLoadData = ro.r["PyLoadData"] # Map the load function
- print("Initialization of PheWAS done !")
+ logger.info("Initialization of PheWAS done !")
def run_analysis(self, requestform):
- print("Starting PheWAS analysis on dataset")
+ logger.info("Starting PheWAS analysis on dataset")
genofilelocation = locate("BXD.geno", "genotype") # Get the location of the BXD genotypes
- precompfile = locate("PheWAS_pval_EMMA_norm.RData", "auwerx") # Get the location of the pre-computed EMMA results
+ precompfile = locate_phewas("PheWAS_pval_EMMA_norm.RData", "auwerx") # Get the location of the pre-computed EMMA results
# Get user parameters, trait_id and dataset, and store/update them in self
self.trait_id = requestform["trait_id"]
@@ -58,21 +61,21 @@ class PheWAS(object):
self.region = int(requestform["num_region"])
self.mtadjust = str(requestform["sel_mtadjust"])
- # Print some debug
- print "self.trait_id:" + self.trait_id + "\n"
- print "self.datasetname:" + self.datasetname + "\n"
- print "self.dataset.type:" + self.dataset.type + "\n"
+ # Logger.Info some debug
+ logger.info("self.trait_id:" + self.trait_id + "\n")
+ logger.info("self.datasetname:" + self.datasetname + "\n")
+ logger.info("self.dataset.type:" + self.dataset.type + "\n")
# GN Magic ?
- self.this_trait = GeneralTrait(dataset=self.dataset, name = self.trait_id, get_qtl_info = False, get_sample_info=False)
- pprint(vars(self.this_trait))
+ self.this_trait = GeneralTrait(dataset=self.dataset, name = self.trait_id, get_qtl_info = False, get_sample_info=False)
+ logger.info(vars(self.this_trait))
# Set the values we need
self.chr = str(self.this_trait.chr);
self.mb = int(self.this_trait.mb);
- # print some debug
- print "location:" + self.chr + ":" + str(self.mb) + "+/-" + str(self.region) + "\n"
+ # logger.info some debug
+ logger.info("location:" + self.chr + ":" + str(self.mb) + "+/-" + str(self.region) + "\n")
# Load in the genotypes file *sigh* to make the markermap
parser = genofile_parser.ConvertGenoFile(genofilelocation)
@@ -94,10 +97,13 @@ class PheWAS(object):
self.results['imgurl1'] = webqtlUtil.genRandStr("phewas_") + ".png"
self.results['imgloc1'] = GENERATED_IMAGE_DIR + self.results['imgurl1']
self.results['mtadjust'] = self.mtadjust
- print("IMAGE AT:", self.results['imgurl1'] )
- print("IMAGE AT:", self.results['imgloc1'] )
+ logger.info("IMAGE AT:", self.results['imgurl1'] )
+ logger.info("IMAGE AT:", self.results['imgloc1'] )
# Create the PheWAS plot (The gene/probe name, chromosome and gene/probe positions should come from the user input)
# TODO: generate the PDF in the temp folder, with a unique name
+ assert(precompfile)
+ assert(phenoaligner)
+ assert(snpaligner)
phewasres = self.r_PheWASManhattan("Test", precompfile, phenoaligner, snpaligner, "None", self.chr, self.mb, self.region, self.results['imgloc1'] , self.mtadjust)
self.results['phewas1'] = phewasres[0]
self.results['phewas2'] = phewasres[1]
@@ -107,10 +113,10 @@ class PheWAS(object):
#self.r_PheWASManhattan(allpvalues)
#self.r_Stop()
- print("Initialization of PheWAS done !")
+ logger.info("Initialization of PheWAS done !")
def loadImage(self, path, name):
- print("pre-loading imgage results:", self.results[path])
+ logger.info("pre-loading imgage results:", self.results[path])
imgfile = open(self.results[path], 'rb')
imgdata = imgfile.read()
imgB64 = imgdata.encode("base64")
@@ -121,7 +127,7 @@ class PheWAS(object):
self.loadImage("imgloc1", "imgdata1")
def process_results(self, results):
- print("Processing PheWAS output")
+ logger.info("Processing PheWAS output")
# TODO: get the PDF in the temp folder, and display it to the user
template_vars = {}
template_vars["results"] = self.results
@@ -129,4 +135,3 @@ class PheWAS(object):
template_vars["R_debuglog"] = self.results['R_debuglog']
return(dict(template_vars))
-