Fixed walmart screenshot script. Added some notes. Created recast's script.

CustomerNotes/Mattr.md

@@ -7,3 +7,9 @@
 Nata & Ashley - Content Strategy
 MVP - 4 courses, ready by Mid-March
 No involvement from Norm until the MVP launch in March. Then will review content and strategy and offer advice.
+
+
+Questions for Wayne:
+
+* Prereq property use case? Label or should it block someone?
+* "(undefined)" property, can we update it to "NO MATTR" or "BLANK"

CustomerNotes/Pipedrive.md

@@ -176,7 +176,7 @@ User Profiles:
 
 * When you click users, they want something available to users. Wants to know the best way to setup.
 * Kaisa to send what she would like on this page.
-
+[](2023-04-04_.md)
 Design:
 
 * Can we change some elements in the non-Pipedrive academy? They would need more CTAs etc.
@@ -191,3 +191,4 @@ Start up weekly meetings with Kaisa for 10am on Tuesday
 ## 03/28/2023
 
 GetVero is the customer emailing platform they currently use. They wanted to do it via Segment.
+Custom email domain needs to be setup first. Waiting on Kaisa to "get through security"

Scripts/API_Tests/Apikeys.py

@@ -5,3 +5,6 @@ talkspace_core = "2vfHw6ksqGfT1gUhPM8pXx2wW"
 wildhealth = "HWxj6VTNPwbc3WghFTPzr7SjE"
 normsandbox = "SlpQlju219WnWogn94dQUT6Yt"
 walmartprod = "6hUfJdAartHTHhHc0WIRZYPWe"
+recast = "9LISLpq7Ebqot3Xrggn5twKWZ"
+mizuno = "stXNF84HWL8aCGeRjHEo2rJ1U"
+

Scripts/API_Tests/add_learnerprop.py

@@ -2,7 +2,7 @@ import requests
 import pandas as pd
 import Apikeys
 
-csv = "/Users/normrasmussen/Downloads/ts_id_roles.csv"
+csv = "/Users/normrasmussen/Downloads/Recast-learners.csv"
 apiKey = Apikeys.skuid
 baseUrlemail = "https://api.northpass.com/v2/people?filter[email][eq]="
 

Scripts/API_Tests/add_prop_csv.py

@@ -0,0 +1,55 @@
+
+import requests
+import pandas as pd
+from pathlib import Path
+import Apikeys
+import os
+
+basefile = "/Users/normrasmussen/Downloads/Recast-learners.csv"
+api_key = Apikeys.recast
+prop_url = "https://api.northpass.com/v2/properties/people/"
+headers = {
+        "accept": "*/*",
+        "x-api-key": api_key,
+        "content-type": "application/json",
+        }
+dict_list = []
+row_dict = {}
+
+def load_file(basefile):
+    basefile = Path(basefile)
+    completions = pd.read_csv(basefile)
+    try:
+        if os.path.isfile(basefile):
+            print(f"File found! Importing {basefile}")
+            for uuid in completions.itertuples():
+                row_num = uuid[0]
+                uuid = uuid[2]
+                row_dict = {"row_num":row_num}
+                url = prop_url + f"{uuid}"
+                response = requests.get(url, headers=headers)
+                if response.status_code == 200:
+                    data = response.json()
+                    company = data["data"]["attributes"]["properties"]["company"]
+                    row_dict["company"] = company
+                elif response.status_code == 404:
+                    row_dict["company"] = "User Not Found"
+                dict_list.append(row_dict)
+        print("No errors! Passing along the dictionary!")
+    except KeyError as e:
+        print(e)
+    finally:
+        for info in dict_list:
+            print(info)
+            row = info['row_num']
+            comp = info['company']
+            completions.loc[completions.index[row], "Company"] = comp
+        print(completions)
+        completions.to_csv(
+                "/Users/normrasmussen/Downloads/Recast_learners_w_Company.csv",
+                index=False
+                )
+
+if __name__ == "__main__":
+    load_file(basefile)
+

Scripts/API_Tests/getgroup_fromemail.py

@@ -0,0 +1,54 @@
+import requests
+import pandas as pd
+from pathlib import Path
+import os
+
+basefile = "/Users/normrasmussen/Downloads/MizunoCompletions_with_PGAIDs.csv"
+api_key = "stXNF84HWL8aCGeRjHEo2rJ1U"
+uuid_url = "https://api.northpass.com/v2/people?filter[email][eq]="
+group_url = "https://api.northpass.com/v2/groups/"
+headers = {
+    "accept": "*/*",
+    "x-api-key": api_key,
+    "content-type": "application/json",
+}
+
+def load_file(basefile):
+    row_dict = {}
+    dict_list = []
+    basefile = Path(basefile)
+    completions = pd.read_csv(basefile)
+    try:
+        if os.path.isfile(basefile):
+            print(f"File found! Importing {basefile}")
+            for email in completions.itertuples():
+                row_num = email[0]
+                row_dict = {"row_num": row_num}
+                email = email[3]
+                url = uuid_url + f"{email}"
+                response = requests.get(url, headers=headers)
+                if response.status_code == 200:
+                    response = response.json()
+                    gid = response["data"][0]["relationships"]["groups"]["data"][0]["id"]
+                    url2 = group_url + f"{gid}"
+                    response = requests.get(url2, headers=headers)
+                    data = response.json()
+                    group_name = data["data"]["attributes"]["name"]
+                    row_dict["group"] = group_name
+                dict_list.append(row_dict)
+    except TypeError as e:
+        pass
+    finally:
+        for info in dict_list:
+            row = info['row_num']
+            group = info['group']
+            completions.loc[completions.index[row], "Group Name"] = group
+        print(completions)
+        completions.to_csv(
+                "/Users/normrasmussen/Downloads/MizunoCompletions_with_PGAIDs.csv",
+                index=False
+                )
+
+
+if __name__ == "__main__":
+    load_file(basefile)

Scripts/Mizuno/add-pgaids.py

@@ -1,10 +1,11 @@
 import requests
 import pandas as pd
 from pathlib import Path
+import Apikeys
 import os
 
-basefile = "/Users/normrasmussen/Downloads/mizuno-march-completions.csv"
+basefile = "/Users/normrasmussen/Downloads/Recast-learners.csv"
-api_key = "stXNF84HWL8aCGeRjHEo2rJ1U"
+api_key = Apikeys.recast
 uuid_url = "https://api.northpass.com/v2/people?filter[email][eq]="
 prop_url = "https://api.northpass.com/v2/properties/people/"
 headers = {
@@ -12,45 +13,45 @@ headers = {
         "x-api-key": api_key,
         "content-type": "application/json",
         }
-drop_rows = []
 
 def load_file(basefile):
+    dict_list = []
+    row_dict = {}
+    basefile = Path(basefile)
+    completions = pd.read_csv(basefile)
     try:
         if os.path.isfile(basefile):
-            basefile = Path(basefile)
             print(f"File found! Importing {basefile}")
-            completions = pd.read_csv(basefile)
             for email in completions.itertuples():
                 row_num = email[0]
+                row_dict = {"row_num":row_num}
                 email = email[3]
-                print(email)
                 url = uuid_url + f"{email}"
                 response = requests.get(url, headers=headers)
                 if response.status_code == 200:
-                    print("Fetching person found!")
                     response = response.json()
                     uuid = response["data"][0]["id"]
                     url2 = prop_url + f"{uuid}"
                     response = requests.get(url2, headers=headers)
                     data = response.json()
                     pgaid = data["data"]["attributes"]["properties"]["account_number"]
-                write_to_csv(pgaid, row_num, completions)
+                    row_dict["pgaid"] = pgaid
+                dict_list.append(row_dict)
+        print("No errors! Passing along the dictionary!")
     except KeyError as e:
         print(e)
     finally:
-        pass
+        for info in dict_list:
-
+            row = info['row_num']
-def write_to_csv(pgaid, row_num, completions):
+            pid = info['pgaid']
-    print(pgaid)
+            completions.loc[completions.index[row], "PGA ID"] = pid
-    try:
+        completions = completions[completions["PGA ID"] != "0"]
-        completions.loc[completions.index[row_num], "PGA ID"] = pgaid
+        #completions = completions.iloc[:, 0:]
-    except (TypeError, KeyError) as e:
-        print(e)
-    finally:
-        pass
-        #completions.drop(completions["PGA ID"] == "0")
-        print("the end?")
         print(completions)
+        completions.to_csv(
+                "/Users/normrasmussen/Downloads/MizunoCompletions_with_PGAIDs.csv",
+                index=False
+                )
 
 
 if __name__ == "__main__":

Scripts/Walmart_Screenshots/resources_api.js

@@ -3,7 +3,10 @@ const axios = require('axios')
 const path = require('path')
 
 const apiKey = "6hUfJdAartHTHhHc0WIRZYPWe"
-const uid = "/\?uid\=7b84eae4-fb34-4689-9f33-24071c3e5a41";
+// Spark Production ^
+// const apiKey = "p5fidpuedHaOlPnd8EcpxzQMG"
+// Luminate Production ^
+const uid = "/\?uid\=7beg87y4-fh24-4929-3rt5-24kdn87s5241";
 const groupIds = []
 
 const getAllGroups = async (num) => {
@@ -14,7 +17,7 @@ const getAllGroups = async (num) => {
 
     await axios({
         method: 'get',
-	url: `https://api2.northpass.com/v2/courses?page=${page}&limit=100`,
+	url: 'https://api2.northpass.com/v2/courses?page=${page}&limit=200',
         headers: {
             'accept': '*/*',
             'x-api-key': apiKey,
@@ -26,16 +29,18 @@ const getAllGroups = async (num) => {
             page++;
             for (let i = 0; i < res.data.data.length; i++) {
 	      if (res.data.data[i].attributes.status == "live") {
+		console.log(res.data.data[i].attributes.name)
 		groupIds.push(res.data.data[i].id)
 	      }
 	    }
-            await getAllGroups(page);
+            //await getAllGroups(page);
         } else {
-            for (let i = 0; i < res.data.data.length; i++) {
+           // for (let i = 0; i < res.data.data.length; i++) {
-	      if (res.data.data[i].attributes.status == "live") {
+	   //   if (res.data.data[i].attributes.status == "live") {
-		groupIds.push(res.data.data[i].id)
+	//	console.log(res.data.data[i].attributes.name)
-	      }
+	//	groupIds.push(res.data.data[i].id)
-	}
+	  //    }
+//	}
       }
     })
     .catch(err => {
@@ -47,12 +52,14 @@ const getAllGroups = async (num) => {
 }
 
 function loopIds(i) {
+  console.log("Loop Ids Function")
   var num = 1
   id = groupIds[i]
   courseOverview(id, i, num)
 }
 
 async function courseOverview(id, i, num) {
+  console.log("Course Overview Function")
   const activity = new Array();
   const url = "https://walmart.northpass.com/app/courses/";
   const browser = await puppeteer.launch();
@@ -71,6 +78,7 @@ async function courseOverview(id, i, num) {
       await page.title();
       const [getXpath] = await page.$x('/html/body/div[1]/div');
       const resourcetitle = await page.evaluate(name => name.innerText, getXpath);
+      console.log(resourcetitle)
       const resource = resourcetitle.trim();
       console.log(resource);