From 0ee7de23de1a29c909fb0a461d980f8474ecadb9 Mon Sep 17 00:00:00 2001
From: Alexander Kabui
Date: Thu, 24 Mar 2022 22:04:53 +0300
Subject: code refactoring

---
 wqflask/wqflask/templates/gn3_wgcna_results.html | 21 +++------------------
 wqflask/wqflask/wgcna/gn3_wgcna.py               | 13 ++++++++++---
 2 files changed, 13 insertions(+), 21 deletions(-)

diff --git a/wqflask/wqflask/templates/gn3_wgcna_results.html b/wqflask/wqflask/templates/gn3_wgcna_results.html
index 3a517954..8a31bf28 100644
--- a/wqflask/wqflask/templates/gn3_wgcna_results.html
+++ b/wqflask/wqflask/templates/gn3_wgcna_results.html
@@ -139,30 +139,15 @@
 <script type="text/javascript">
 
 
-let results = {{results|safe}}
-
-let parameters = {{parameters|safe}}
-
-let phenoModules = results["data"]["output"]["net_colors"]
+let phenoModules = {{results|safe}}["data"]["output"]["net_colors"]
 let phenotypes = Object.keys(phenoModules)
 let phenoMods = Object.values(phenoModules)
 
 let {col_names,mod_dataset} = {{data|safe}}
-
-let {MinModuleSize,TOMtype,corType,mergeCutHeight} = parameters
-
 const summary = {
-
-  strain_numbers:6,
-
-  nphe:12,
-
   modules_found:phenoMods.length,
-  MinModuleSize,
-  TOMtype,
-  corType,
-  mergeCutHeight
-
+  ...{{parameters|safe}}
+  
 }
 
     $("#summary").DataTable( {
diff --git a/wqflask/wqflask/wgcna/gn3_wgcna.py b/wqflask/wqflask/wgcna/gn3_wgcna.py
index 7bf5c62b..ab7fe46c 100644
--- a/wqflask/wqflask/wgcna/gn3_wgcna.py
+++ b/wqflask/wqflask/wgcna/gn3_wgcna.py
@@ -76,8 +76,6 @@ def run_wgcna(form_data):
 
     wgcna_api = f"{GN3_LOCAL_URL}/api/wgcna/run_wgcna"
 
-    # parse form data
-
     trait_dataset = fetch_trait_data(form_data)
     form_data["minModuleSize"] = int(form_data["MinModuleSize"])
 
@@ -86,8 +84,10 @@ def run_wgcna(form_data):
 
     try:
 
+        unique_strains = list(set(trait_dataset["sample_names"]))
+
         response = requests.post(wgcna_api, json={
-            "sample_names": list(set(trait_dataset["sample_names"])),
+            "sample_names": unique_strains,
             "trait_names": trait_dataset["trait_names"],
             "trait_sample_data": list(trait_dataset["input"].values()),
             **form_data
@@ -98,8 +98,15 @@ def run_wgcna(form_data):
         status_code = response.status_code
         response = response.json()
 
+        parameters = {
+            "nstrains": len(unique_strains),
+            "nphe": len(trait_dataset["trait_names"]),
+            **{key: val for key, val in form_data.items() if key not in ["trait_list"]}
+        }
+
         return {"error": response} if status_code != 200 else {
             "error": 'null',
+            "parameters": parameters,
             "results": response,
             "data": process_wgcna_data(response["data"]),
             "image": process_image(response["data"])
-- 
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