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authorzsloan2017-05-22 15:48:25 +0000
committerzsloan2017-05-22 15:48:25 +0000
commite6afa39ac0bf769bed181ad9e16fc4fc8e16bb22 (patch)
tree037ba4b2e1edbc0ebe11c2733f50e5f994f3a601
parentb41898f11cd20b063db1df41a34f6515f331c21b (diff)
downloadgenenetwork2-e6afa39ac0bf769bed181ad9e16fc4fc8e16bb22.tar.gz
Added print lines showing url to views.py and updated dataset menu json file
-rw-r--r--wqflask/wqflask/static/new/javascript/dataset_menu_structure.json284
-rw-r--r--wqflask/wqflask/views.py34
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())