diff options
Diffstat (limited to 'wqflask')
| -rw-r--r-- | wqflask/wqflask/static/new/javascript/dataset_menu_structure.json | 284 | ||||
| -rw-r--r-- | wqflask/wqflask/views.py | 34 |
2 files changed, 264 insertions, 54 deletions
diff --git a/wqflask/wqflask/static/new/javascript/dataset_menu_structure.json b/wqflask/wqflask/static/new/javascript/dataset_menu_structure.json index 861af3d6..f3712b5d 100644 --- a/wqflask/wqflask/static/new/javascript/dataset_menu_structure.json +++ b/wqflask/wqflask/static/new/javascript/dataset_menu_structure.json @@ -1340,14 +1340,14 @@ "GSE9588 Human Liver Normal (Mar11) Both Sexes" ], [ - "384", - "HLCF_0311", - "GSE9588 Human Liver Normal (Mar11) Females" - ], - [ "383", "HLCM_0311", "GSE9588 Human Liver Normal (Mar11) Males" + ], + [ + "384", + "HLCF_0311", + "GSE9588 Human Liver Normal (Mar11) Females" ] ], "Phenotypes": [ @@ -1493,6 +1493,15 @@ ] ] }, + "Islets-Gerling": { + "Phenotypes": [ + [ + "None", + "Islets-GerlingPublish", + "Islets-Gerling Published Phenotypes" + ] + ] + }, "TIGEM-Retina-RNA-Seq": { "Phenotypes": [ [ @@ -1561,6 +1570,11 @@ ], "Heart mRNA": [ [ + "820", + "UCLA_AXB_BXA_Aor_Jan16", + "UCLA AXB/BXA Aorta Affy M430 2.0 (Jan16) RMA" + ], + [ "421", "IRCM_AXBXA_HRI0213", "IRCM AXB/BXA Mouse Heart ILM MouseRef-8 v2.0 (Feb13) RankInv" @@ -1568,6 +1582,11 @@ ], "Liver mRNA": [ [ + "822", + "UCLA_AXB_BXA_Liv_Jan16", + "UCLA AXB/BXA Liver Affy M430 2.0 (Jan16) RMA" + ], + [ "352", "GSE16780AB_UCLA_ML0911", "GSE16780 UCLA Mouse AXB/BXA Liver Affy HT M430A (Sep11) RMA" @@ -1727,11 +1746,6 @@ ], "Striatum mRNA": [ [ - "85", - "SA_M2_0905_P", - "OHSU/VA B6D2F2 Striatum M430v2 (Sep05) PDNN" - ], - [ "84", "SA_M2_0905_R", "OHSU/VA B6D2F2 Striatum M430v2 (Sep05) RMA" @@ -1740,22 +1754,27 @@ "83", "SA_M2_0905_M", "OHSU/VA B6D2F2 Striatum M430v2 (Sep05) MAS5" + ], + [ + "85", + "SA_M2_0905_P", + "OHSU/VA B6D2F2 Striatum M430v2 (Sep05) PDNN" ] ] }, "BHF2": { "Adipose mRNA": [ [ - "197", - "UCLA_BHF2_ADIPOSE_FEMALE", - "UCLA BHF2 Adipose Female mlratio" - ], - [ "196", "UCLA_BHF2_ADIPOSE_MALE", "UCLA BHF2 Adipose Male mlratio" ], [ + "197", + "UCLA_BHF2_ADIPOSE_FEMALE", + "UCLA BHF2 Adipose Female mlratio" + ], + [ "165", "UCLA_BHF2_ADIPOSE_0605", "UCLA BHF2 Adipose (June05) mlratio" @@ -1763,16 +1782,16 @@ ], "Brain mRNA": [ [ - "199", - "UCLA_BHF2_BRAIN_FEMALE", - "UCLA BHF2 Brain Female mlratio" - ], - [ "198", "UCLA_BHF2_BRAIN_MALE", "UCLA BHF2 Brain Male mlratio" ], [ + "199", + "UCLA_BHF2_BRAIN_FEMALE", + "UCLA BHF2 Brain Female mlratio" + ], + [ "166", "UCLA_BHF2_BRAIN_0605", "UCLA BHF2 Brain (June05) mlratio" @@ -1787,16 +1806,16 @@ ], "Liver mRNA": [ [ - "201", - "UCLA_BHF2_LIVER_FEMALE", - "UCLA BHF2 Liver Female mlratio" - ], - [ "200", "UCLA_BHF2_LIVER_MALE", "UCLA BHF2 Liver Male mlratio" ], [ + "201", + "UCLA_BHF2_LIVER_FEMALE", + "UCLA BHF2 Liver Female mlratio" + ], + [ "167", "UCLA_BHF2_LIVER_0605", "UCLA BHF2 Liver (June05) mlratio" @@ -2000,11 +2019,6 @@ "UTHSC Brain mRNA U74Av2 (Nov05) PDNN" ], [ - "81", - "BR_U_0805_P", - "UTHSC Brain mRNA U74Av2 (Aug05) PDNN" - ], - [ "80", "BR_U_0805_M", "UTHSC Brain mRNA U74Av2 (Aug05) MAS5" @@ -2015,6 +2029,11 @@ "UTHSC Brain mRNA U74Av2 (Aug05) RMA" ], [ + "81", + "BR_U_0805_P", + "UTHSC Brain mRNA U74Av2 (Aug05) PDNN" + ], + [ "42", "CB_M_0204_P", "INIA Brain mRNA M430 (Feb04) PDNN" @@ -2142,6 +2161,13 @@ "BXD Genotypes" ] ], + "Heart mRNA": [ + [ + "819", + "UCLA_BXD_Aor_Jan16", + "UCLA BXD Aorta Affy M430 2.0 (Jan16) RMA" + ] + ], "Hematopoietic Cells mRNA": [ [ "149", @@ -2218,6 +2244,26 @@ "UMUTAffy Hippocampus Exon (Feb09) RMA" ], [ + "814", + "UTHSC_ILM_BXD_hipp_NOSb_0217", + "UTHSC BXD Hippocampus ILM v6.1 NOS Balanced (Feb17) RankInv" + ], + [ + "815", + "UTHSC_ILM_BXD_hipp_NOEb_0217", + "UTHSC BXD Hippocampus ILM v6.1 NOE Balanced (Feb17) RankInv" + ], + [ + "816", + "UTHSC_ILM_BXD_hipp_RSSb_0217", + "UTHSC BXD Hippocampus ILM v6.1 RSS Balanced (Feb17) RankInv" + ], + [ + "817", + "UTHSC_ILM_BXD_hipp_RSEb_0217", + "UTHSC BXD Hippocampus ILM v6.1 RSE Balanced (Feb17) RankInv" + ], + [ "780", "UTHSC_ILM_BXD_hipp_NOEb_0216", "UTHSC BXD Hippocampus ILM v6.1 NOE Balanced (Feb16) RankInv" @@ -2391,14 +2437,24 @@ ], "Liver Proteome": [ [ + "540", + "EPFLETHZBXDprotCD0514", + "EPFL/ETHZ BXD Liver, Chow Diet (Jun16) Top100 SWATH" + ], + [ + "541", + "EPFLETHZBXDprotHFD0514", + "EPFL/ETHZ BXD Liver, High Fat Diet (Jun16) Top100 SWATH" + ], + [ "704", "EPFLETHZBXDprotCD_LS1114", - "EPFL/ETHZ BXD Liver, Chow Diet (Oct14) Light SWATH" + "EPFL/ETHZ BXD Liver, Chow Diet (Oct14) Top10 SWATH" ], [ "705", "EPFLETHZBXDprotHF_LS1114", - "EPFL/ETHZ BXD Liver, High Fat Diet (Oct14) Light SWATH" + "EPFL/ETHZ BXD Liver, High Fat Diet Diet (Oct14) Top10 SWATH" ], [ "703", @@ -2414,20 +2470,15 @@ "489", "EPFLBXDprotHFDRPN0214", "EPFL/LISP BXD Liver, Soluble Proteins HFD (Feb14) SRM" - ], - [ - "540", - "EPFLETHZBXDprotCD0514", - "EPFL/ETHZ BXD Liver, Soluble Proteins CD (Jun14) SWATH" - ], - [ - "541", - "EPFLETHZBXDprotHFD0514", - "EPFL/ETHZ BXD Liver, Soluble Proteins HFD (Jun14) SWATH" ] ], "Liver mRNA": [ [ + "818", + "UCLA_BXD_Liv_Jan16", + "UCLA BXD Liver Affy M430 2.0 (Jan16) RMA" + ], + [ "430", "EPFLMouseLiverRMA0413", "EPFL/LISP BXD CD+HFD Liver Affy Mouse Gene 1.0 ST (Apr13) RMA" @@ -2443,6 +2494,11 @@ "EPFL/LISP BXD CD Liver Affy Mouse Gene 1.0 ST (Apr13) RMA" ], [ + "433", + "EPFLMouseLiverBothExRMA0413", + "EPFL/LISP BXD CD+HFD Liver Affy Mouse Gene 1.0 ST (Apr13) RMA Exon Level" + ], + [ "700", "UTHSC-VGX_MmBXDHepatocytesRMA1014", "UT-VGX Hepatocytes Affy Mouse Gene 1.0 ST Gene Level (Oct14) RMA" @@ -2466,6 +2522,51 @@ "702", "SUH_Liv_RMAEx_0611", "SUH BXD Liver CCl4-treated Affy Mouse Gene 1.0 ST Exon Level (Jun11) RMA" + ], + [ + "256", + "GenEx_BXD_liverEt_M5_0912", + "GenEx BXD EtOH Liver Affy M430 2.0 (Sep12) MAS5 Both Sexes" + ], + [ + "257", + "GenEx_BXD_liverEt_M5M_0912", + "GenEx BXD EtOH Liver Affy M430 2.0 (Sep12) MAS5 Males" + ], + [ + "258", + "GenEx_BXD_liverEt_M5F_0912", + "GenEx BXD EtOH Liver Affy M430 2.0 (Sep12) MAS5 Females" + ], + [ + "307", + "GenEx_BXD_liverEt_RMA_0211", + "GenEx BXD EtOH Liver Affy M430 2.0 (Feb11) RMA Both Sexes" + ], + [ + "308", + "GenEx_BXD_liverEt_RMA_M_0211", + "GenEx BXD EtOH Liver Affy M430 2.0 (Feb11) RMA Males" + ], + [ + "309", + "GenEx_BXD_liverEt_RMA_F_0211", + "GenEx BXD EtOH Liver Affy M430 2.0 (Feb11) RMA Females" + ], + [ + "310", + "GenEx_BXD_liverSal_RMA_0211", + "GenEx BXD Sal Liver Affy M430 2.0 (Feb11) RMA Both Sexes" + ], + [ + "311", + "GenEx_BXD_liverSal_RMA_M_0211", + "GenEx BXD Sal Liver Affy M430 2.0 (Feb11) RMA Males" + ], + [ + "312", + "GenEx_BXD_liverSal_RMA_F_0211", + "GenEx BXD Sal Liver Affy M430 2.0 (Feb11) RMA Females" ] ], "Lung mRNA": [ @@ -2546,14 +2647,14 @@ "HQF BXD Neocortex ILM6v1.1 (Feb08) RankInv" ], [ - "275", - "DevNeocortex_ILM6.2P14RInv_1110", - "BIDMC/UTHSC Dev Neocortex P14 ILMv6.2 (Nov10) RankInv" - ], - [ "274", "DevNeocortex_ILM6.2P3RInv_1110", "BIDMC/UTHSC Dev Neocortex P3 ILMv6.2 (Nov10) RankInv" + ], + [ + "275", + "DevNeocortex_ILM6.2P14RInv_1110", + "BIDMC/UTHSC Dev Neocortex P14 ILMv6.2 (Nov10) RankInv" ] ], "Nucleus Accumbens mRNA": [ @@ -2761,11 +2862,6 @@ ], "Ventral Tegmental Area mRNA": [ [ - "230", - "VCUEtvsSal_0609_R", - "VCU BXD VTA Et vs Sal M430 2.0 (Jun09) RMA" - ], - [ "229", "VCUEtOH_0609_R", "VCU BXD VTA EtOH M430 2.0 (Jun09) RMA" @@ -2774,6 +2870,11 @@ "228", "VCUSal_0609_R", "VCU BXD VTA Sal M430 2.0 (Jun09) RMA" + ], + [ + "230", + "VCUEtvsSal_0609_R", + "VCU BXD VTA Et vs Sal M430 2.0 (Jun09) RMA" ] ] }, @@ -2920,6 +3021,27 @@ ] ] }, + "CIE-RMA": { + "Midbrain mRNA": [ + [ + "830", + "INIA_UTHSC_Mid_AffyMTA1_Apr17", + "INIA-UTHSC Midbrain CIE Affy MTA 1.0 GeneLevel (Apr17) RMA" + ], + [ + "834", + "INIA_UTHSC_Mid_AffyMTA1_Ex_May17", + "INIA-UTHSC Midbrain CIE Affy MTA 1.0 Exon Level (Apr17) RMA" + ] + ], + "Phenotypes": [ + [ + "None", + "CIE-RMAPublish", + "CIE-RMA Published Phenotypes" + ] + ] + }, "CMS": { "Phenotypes": [ [ @@ -3021,6 +3143,13 @@ "CXB Genotypes" ] ], + "Heart mRNA": [ + [ + "821", + "UCLA_CXB_Aor_Jan16", + "UCLA CXB Aorta Affy M430 2.0 (Jan16) RMA" + ] + ], "Hippocampus mRNA": [ [ "100", @@ -3033,6 +3162,13 @@ "Hippocampus Consortium M430v2 CXB (Dec05) PDNN" ] ], + "Liver mRNA": [ + [ + "823", + "UCLA_CXB_Liv_Jan16", + "UCLA CXB Liver Affy M430 2.0 (Jan16) RMA" + ] + ], "Phenotypes": [ [ "628", @@ -3048,6 +3184,7 @@ ] ] }, + "EMSR": {}, "HS": { "Hippocampus mRNA": [ [ @@ -3545,6 +3682,10 @@ "Brain, Development: Normal Gene Expression (Yale/Sestan)" ], [ + "Islets-Gerling", + "Pancreatic: Islets (UTHSC/Gerling)" + ], + [ "TIGEM-Retina-RNA-Seq", "Retina: Normal Adult Gene Expression, RNA-Seq (TIGEM)" ] @@ -3616,7 +3757,11 @@ ], [ "CIE-INIA", - "Chronic Intermittent Ethanol" + "Chronic Intermittent Ethanol Phase 1" + ], + [ + "CIE-RMA", + "Chronic Intermittent Ethanol Phase 2" ], [ "CMS", @@ -3631,6 +3776,10 @@ "CXB" ], [ + "EMSR", + "Ethanol-Medicated Stress Reduction" + ], + [ "HS", "Heterogeneous Stock" ], @@ -4414,6 +4563,12 @@ "Ventrolateral Prefrontal Cortex mRNA" ] ], + "Islets-Gerling": [ + [ + "Phenotypes", + "Phenotypes" + ] + ], "TIGEM-Retina-RNA-Seq": [ [ "Phenotypes", @@ -4630,6 +4785,10 @@ "Gastrointestinal mRNA" ], [ + "Heart mRNA", + "Heart mRNA" + ], + [ "Hematopoietic Cells mRNA", "Hematopoietic Cells mRNA" ], @@ -4780,6 +4939,16 @@ "LCM Brain Regions mRNA" ] ], + "CIE-RMA": [ + [ + "Phenotypes", + "Phenotypes" + ], + [ + "Midbrain mRNA", + "Midbrain mRNA" + ] + ], "CMS": [ [ "Phenotypes", @@ -4822,14 +4991,23 @@ "Genotypes" ], [ + "Heart mRNA", + "Heart mRNA" + ], + [ "Hippocampus mRNA", "Hippocampus mRNA" ], [ + "Liver mRNA", + "Liver mRNA" + ], + [ "Spleen mRNA", "Spleen mRNA" ] ], + "EMSR": [], "HS": [ [ "Phenotypes", diff --git a/wqflask/wqflask/views.py b/wqflask/wqflask/views.py index 39f4a686..24a7cbca 100644 --- a/wqflask/wqflask/views.py +++ b/wqflask/wqflask/views.py @@ -71,6 +71,8 @@ import werkzeug import utility.logger logger = utility.logger.getLogger(__name__ ) + + @app.before_request def connect_db(): db = getattr(g, '_database', None) @@ -120,6 +122,7 @@ def handle_bad_request(e): @app.route("/") def index_page(): logger.info("Sending index_page") + logger.error(request.url) params = request.args if 'import_collections' in params: import_collections = params['import_collections'] @@ -137,6 +140,7 @@ def index_page(): def tmp_page(img_path): logger.info("In tmp_page") logger.info("img_path:", img_path) + logger.error(request.url) initial_start_vars = request.form logger.info("initial_start_vars:", initial_start_vars) imgfile = open(GENERATED_IMAGE_DIR + img_path, 'rb') @@ -170,6 +174,7 @@ def bd_files(filename): @app.route("/search", methods=('GET',)) def search_page(): logger.info("in search_page") + logger.error(request.url) if 'info_database' in request.args: logger.info("Going to sharing_info_page") template_vars = sharing_info_page() @@ -208,6 +213,7 @@ def search_page(): @app.route("/gsearch", methods=('GET',)) def gsearchact(): + logger.error(request.url) result = gsearch.GSearch(request.args).__dict__ type = request.args['type'] if type == "gene": @@ -218,6 +224,7 @@ def gsearchact(): @app.route("/gsearch_updating", methods=('POST',)) def gsearch_updating(): logger.info("REQUEST ARGS:", request.values) + logger.error(request.url) result = update_search_results.GSearch(request.args).__dict__ return result['results'] # type = request.args['type'] @@ -228,26 +235,31 @@ def gsearch_updating(): @app.route("/docedit") def docedit(): + logger.error(request.url) doc = docs.Docs(request.args['entry']) return render_template("docedit.html", **doc.__dict__) @app.route('/generated/<filename>') def generated_file(filename): + logger.error(request.url) return send_from_directory(GENERATED_IMAGE_DIR,filename) @app.route("/help") def help(): + logger.error(request.url) doc = docs.Docs("help") return render_template("docs.html", **doc.__dict__) @app.route("/wgcna_setup", methods=('POST',)) def wcgna_setup(): logger.info("In wgcna, request.form is:", request.form) # We are going to get additional user input for the analysis + logger.error(request.url) return render_template("wgcna_setup.html", **request.form) # Display them using the template @app.route("/wgcna_results", methods=('POST',)) def wcgna_results(): logger.info("In wgcna, request.form is:", request.form) + logger.error(request.url) wgcna = wgcna_analysis.WGCNA() # Start R, load the package and pointers and create the analysis wgcnaA = wgcna.run_analysis(request.form) # Start the analysis, a wgcnaA object should be a separate long running thread result = wgcna.process_results(wgcnaA) # After the analysis is finished store the result @@ -256,11 +268,13 @@ def wcgna_results(): @app.route("/ctl_setup", methods=('POST',)) def ctl_setup(): logger.info("In ctl, request.form is:", request.form) # We are going to get additional user input for the analysis + logger.error(request.url) return render_template("ctl_setup.html", **request.form) # Display them using the template @app.route("/ctl_results", methods=('POST',)) def ctl_results(): logger.info("In ctl, request.form is:", request.form) + logger.error(request.url) ctl = ctl_analysis.CTL() # Start R, load the package and pointers and create the analysis ctlA = ctl.run_analysis(request.form) # Start the analysis, a ctlA object should be a separate long running thread result = ctl.process_results(ctlA) # After the analysis is finished store the result @@ -298,11 +312,13 @@ def environments(): @app.route("/submit_trait") def submit_trait_form(): + logger.error(request.url) species_and_groups = get_species_groups() return render_template("submit_trait.html", **{'species_and_groups' : species_and_groups, 'gn_server_url' : GN_SERVER_URL, 'version' : GN_VERSION}) @app.route("/create_temp_trait", methods=('POST',)) def create_temp_trait(): + logger.error(request.url) print("REQUEST.FORM:", request.form) #template_vars = submit_trait.SubmitTrait(request.form) @@ -315,6 +331,7 @@ def export_trait_excel(): """Excel file consisting of the sample data from the trait data and analysis page""" logger.info("In export_trait_excel") logger.info("request.form:", request.form) + logger.error(request.url) sample_data = export_trait_data.export_sample_table(request.form) logger.info("sample_data - type: %s -- size: %s" % (type(sample_data), len(sample_data))) @@ -340,6 +357,7 @@ def export_trait_csv(): """CSV file consisting of the sample data from the trait data and analysis page""" logger.info("In export_trait_csv") logger.info("request.form:", request.form) + logger.error(request.url) sample_data = export_trait_data.export_sample_table(request.form) logger.info("sample_data - type: %s -- size: %s" % (type(sample_data), len(sample_data))) @@ -360,6 +378,7 @@ def export_traits_csv(): """CSV file consisting of the traits from the search result page""" logger.info("In export_traits_csv") logger.info("request.form:", request.form) + logger.error(request.url) csv_data = export_traits.export_search_results_csv(request.form) return Response(csv_data, @@ -369,6 +388,7 @@ def export_traits_csv(): @app.route('/export_perm_data', methods=('POST',)) def export_perm_data(): """CSV file consisting of the permutation data for the mapping results""" + logger.error(request.url) num_perm = float(request.form['num_perm']) perm_data = json.loads(request.form['perm_results']) @@ -391,6 +411,7 @@ def export_perm_data(): @app.route("/show_temp_trait", methods=('POST',)) def show_temp_trait_page(): + logger.error(request.url) template_vars = show_trait.ShowTrait(request.form) #logger.info("js_data before dump:", template_vars.js_data) template_vars.js_data = json.dumps(template_vars.js_data, @@ -405,6 +426,7 @@ def show_temp_trait_page(): @app.route("/show_trait") def show_trait_page(): + logger.error(request.url) template_vars = show_trait.ShowTrait(request.args) #logger.info("js_data before dump:", template_vars.js_data) template_vars.js_data = json.dumps(template_vars.js_data, @@ -420,6 +442,7 @@ def show_trait_page(): @app.route("/heatmap", methods=('POST',)) def heatmap_page(): logger.info("In heatmap, request.form is:", pf(request.form)) + logger.error(request.url) start_vars = request.form temp_uuid = uuid.uuid4() @@ -469,6 +492,7 @@ def mapping_results_container_page(): @app.route("/loading", methods=('POST',)) def loading_page(): + logger.error(request.url) initial_start_vars = request.form logger.debug("Marker regression called with initial_start_vars:", initial_start_vars.items()) #temp_uuid = initial_start_vars['temp_uuid'] @@ -525,6 +549,7 @@ def loading_page(): def marker_regression_page(): initial_start_vars = request.form logger.debug("Marker regression called with initial_start_vars:", initial_start_vars.items()) + logger.error(request.url) temp_uuid = initial_start_vars['temp_uuid'] wanted = ( 'trait_id', @@ -646,6 +671,7 @@ def marker_regression_page(): @app.route("/export", methods = ('POST',)) def export(): logger.info("request.form:", request.form) + logger.error(request.url) svg_xml = request.form.get("data", "Invalid data") filename = request.form.get("filename", "manhattan_plot_snp") response = Response(svg_xml, mimetype="image/svg+xml") @@ -656,6 +682,7 @@ def export(): def export_pdf(): import cairosvg logger.info("request.form:", request.form) + logger.error(request.url) svg_xml = request.form.get("data", "Invalid data") logger.info("svg_xml:", svg_xml) filename = request.form.get("filename", "interval_map_pdf") @@ -668,7 +695,7 @@ def export_pdf(): @app.route("/network_graph", methods=('POST',)) def network_graph_page(): logger.info("In network_graph, request.form is:", pf(request.form)) - + logger.error(request.url) start_vars = request.form traits = [trait.strip() for trait in start_vars['trait_list'].split(',')] if traits[0] != "": @@ -684,6 +711,7 @@ def network_graph_page(): @app.route("/corr_compute", methods=('POST',)) def corr_compute_page(): logger.info("In corr_compute, request.form is:", pf(request.form)) + logger.error(request.url) #fd = webqtlFormData.webqtlFormData(request.form) template_vars = show_corr_results.CorrelationResults(request.form) return render_template("correlation_page.html", **template_vars.__dict__) @@ -691,6 +719,7 @@ def corr_compute_page(): @app.route("/corr_matrix", methods=('POST',)) def corr_matrix_page(): logger.info("In corr_matrix, request.form is:", pf(request.form)) + logger.error(request.url) start_vars = request.form traits = [trait.strip() for trait in start_vars['trait_list'].split(',')] @@ -706,6 +735,7 @@ def corr_matrix_page(): @app.route("/corr_scatter_plot") def corr_scatter_plot_page(): + logger.error(request.url) template_vars = corr_scatter_plot.CorrScatterPlot(request.args) template_vars.js_data = json.dumps(template_vars.js_data, default=json_default_handler, @@ -717,6 +747,7 @@ def corr_scatter_plot_page(): def sharing_info_page(): """Info page displayed when the user clicks the "Info" button next to the dataset selection""" logger.info("In sharing_info_page") + logger.error(request.url) fd = webqtlFormData.webqtlFormData(request.args) template_vars = SharingInfoPage.SharingInfoPage(fd) return template_vars @@ -724,6 +755,7 @@ def sharing_info_page(): # Take this out or secure it before putting into production @app.route("/get_temp_data") def get_temp_data(): + logger.error(request.url) temp_uuid = request.args['key'] return flask.jsonify(temp_data.TempData(temp_uuid).get_all()) |