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

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)