Chubb script for adding learners and add props. Added a state for Sandata.

Custom_Templates/customer_templates/Sandata Learn/_sign_up_follow_up_states_dropdown.html.liquid

@@ -16,6 +16,7 @@
 	<option class="second-login-state-option" value="ID">Idaho</option>
 	<option class="second-login-state-option" value="IL">Illinois</option>
 	<option class="second-login-state-option" value="IN">Indiana</option>
+	<option class="second-login-state-option" value="MA">Massachusetts</option>
 	<option class="second-login-state-option" value="MO">Missouri</option>
 	<option class="second-login-state-option" value="NV">Nevada</option>
 	<option class="second-login-state-option" value="NC">North Carolina</option>

Scripts/API_Tests/bulk_invite_and_props.py

@@ -4,6 +4,7 @@ import pprint
 import csv
 import pandas as pd
 import Apikeys
+import time
 
 pp = pprint.PrettyPrinter(indent=4)
 APIKEY = Apikeys.CHUBB
@@ -12,7 +13,7 @@ HEADERS = {
     "X-Api-Key": APIKEY,
 }
 BASEURL = "https://api.northpass.com/v2/"
-IMPORTFILE = "/Users/normrasmussen/Downloads/chubb.csv"
+IMPORTFILE = "/Users/normrasmussen/Downloads/chubb-cisa-624.csv"
 
 
 def bulk_invite_and_group():
@@ -29,39 +30,82 @@ def bulk_invite_and_group():
     data = pd.read_csv(IMPORTFILE)
     groups = data["Group"].unique()
     groups = list(groups)
-    for group in groups:
-        payload = ""
-        tmp_group = data[data.Group == group]
-        people = list(tmp_group["Email"])
-        group = str(tmp_group["Group"].unique())[2:-2]
-        # print(f"Group --> {group} & Email Length --> {len(people)}")
-        url = f"{BASEURL}bulk/people"
-        if len(people) > 1500:
-            for chunk in range(0, len(people), 1500):
-                i = chunk
+    try:
+        for group in groups:
+            payload = ""
+            tmp_group = data[data.Group == group]
+            people = list(tmp_group["Email"])
+            group = str(tmp_group["Group"].unique())[2:-2]
+            print(f"Group --> {group} & Email Length --> {len(people)}")
+            url = f"{BASEURL}bulk/people"
+            if len(people) > 1500:
+                for chunk in range(0, len(people), 1500):
+                    i = chunk
+                    payload_1 = []
+                    i_to_add = people[i : i + 1500]
+                    for person in i_to_add:
+                        miniload = {"email": person, "groups": group}
+                        payload_1.append(miniload)
+                    print(f"The long length {group} payload has {len(payload_1)}")
+                    payload = {"data": {"attributes": {"people": payload_1}}}
+                    response = requests.post(url, headers=HEADERS, json=payload)
+                    print(f"Completed. Status code is {response.status_code}")
+            else:
                 payload_1 = []
-                i_to_add = people[i : i + 1500]
-                for person in i_to_add:
+                for person in people:
                     miniload = {"email": person, "groups": group}
                     payload_1.append(miniload)
-                print(f"The long length {group} payload has {len(payload_1)}")
+                # print(f"The {group} payload has {len(payload_1)}")
                 payload = {"data": {"attributes": {"people": payload_1}}}
                 response = requests.post(url, headers=HEADERS, json=payload)
                 print(f"Completed. Status code is {response.status_code}")
-        else:
-            payload_1 = []
-            for person in people:
-                miniload = {"email": person, "groups": group}
-                payload_1.append(miniload)
-            print(f"The {group} payload has {len(payload_1)}")
-            payload = {"data": {"attributes": {"people": payload_1}}}
-            response = requests.post(url, headers=HEADERS, json=payload)
-            print(f"Completed. Status code is {response.status_code}")
-            print(response.text)
+                print(response.text)
+    except:
+        pass
+    finally:
+        print("Running add props from func...")
+        time.sleep(3)
+        add_props_from_func(people, data)
 
-    # add_props()
 
-def add_props():
+def add_props_from_func(people, data):
+    errorlist = []
+    for learner_email in people:
+        agency_name = data.loc[data["Email"] == learner_email, "AgencyName"]
+        agname = str(agency_name.values)[2:-2]
+        print(f"Learner: {learner_email} --> Agency: {agname}")
+        ppl_search = f"{BASEURL}people?filter[email][eq]={learner_email}"
+        ppl_response = requests.get(ppl_search, headers=HEADERS)
+        try:
+            ppl_data = ppl_response.json()
+            nextlink = ppl_data["links"]
+            learner_uuid = ppl_data["data"][0]["id"]
+
+            # Now update the props
+            prop_url = f"{BASEURL}properties/people/bulk"
+            payload = {
+                "data": [
+                    {
+                        "attributes": {"properties": {"agency_name": agname }},
+                        "id": learner_uuid,
+                        "type": "person_properties",
+                    }
+                ]
+            }
+            propresponse = requests.post(prop_url, json=payload, headers=HEADERS)
+            print(propresponse.status_code)
+            if propresponse.status_code != 200:
+                error_tupe = (learner_uud, learner_email, agency_name)
+                errorlist.append(error_tupe)
+            else:
+                print(f"Looks like {learner_email} and {agency_name} was successful.")
+        except TypeError as e:
+            pass
+        finally:
+            print(f"Error list: {errorlist}")
+
+
+def add_props_from_csv():
     errorlist = []
     df = pd.DataFrame()
     data = pd.read_csv(IMPORTFILE)
@@ -82,7 +126,7 @@ def add_props():
             payload = {
                 "data": [
                     {
-                        "attributes": {"properties": {"agency_name": agency_name }},
+                        "attributes": {"properties": {"agency_name": agency_name}},
                         "id": learner_uuid,
                         "type": "person_properties",
                     }
@@ -102,5 +146,4 @@ def add_props():
 
 
 if __name__ == "__main__":
-    add_props()
-#bulk_invite_and_group()
+    bulk_invite_and_group()

Scripts/API_Tests/tmp_pandas.py

@@ -0,0 +1,22 @@
+import requests
+import json
+import pprint
+import csv
+import pandas as pd
+
+IMPORTFILE = "/Users/normrasmussen/Downloads/chubb-old.csv"
+
+data = pd.read_csv(IMPORTFILE)
+groups = data["Group"].unique()
+print(groups)
+groups = list(groups)
+for group in groups:
+    payload = ""
+    tmp_group = data[data.Group == group]
+    people = list(tmp_group["Email"])
+    group = str(tmp_group["Group"].unique())[2:-2]
+    for learner_email in people:
+        agency_name = data.loc[data['Email'] == learner_email, 'AgencyName']
+        agname = str(agency_name.values)[2:-2]
+        print(agname)
+        # ppl_search = f"{BASEURL}people?filter[email][eq]={learner_email}"