183 lines
7.9 KiB
Python
183 lines
7.9 KiB
Python
import pandas as pd
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import requests
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import Apikeys
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MASTER = "~/Downloads/Anthology-Master-CSV-FirstChanges.csv"
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BASEURL = "https://api.northpass.com/v2/people"
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APIKEY = Apikeys.ANTHOLOGY
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HEADERS = {
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"accept": "*/*",
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"X-Api-Key": APIKEY,
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"content-type": "application/json",
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}
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KNOWLEDGEGROUPS = [
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"289f8d54-e487-48a0-ac43-5c51c1d0b151",
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"a71e6ca9-aaa5-45a6-9e23-3b4c2a707c3d",
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"b69916db-59e3-4b06-a5f1-d358338ed7d7",
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"3875a210-f86d-4b4a-a86a-980022374936",
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"c482c095-4d67-4673-a175-ab27a5bd959b",
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"4992b00e-0453-4060-9451-fa963f56150e",
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"3f8dc68e-1458-4199-9641-6781960e085e",
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"8585fe89-a050-4dbb-beb8-6ebd7358a970",
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"d2542667-0dbf-4680-a5af-042d70f24a55",
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"7395831e-4325-4b16-85bb-36c94f68aec0",
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"180571e8-f943-4980-8997-b3eed2a0c141",
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"2b69f2f8-d567-48c3-8bb3-22e0dc8819bd",
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"2b5267b2-ce87-4e77-ad88-5cfec80496b9",
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"483c3416-ddfb-43fe-983b-08abb6b50c62",
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"df9855d7-12ae-4170-acf6-a05cd4f52515",
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"1582d056-55fb-403b-8a65-f3b641c96b69",
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"be95bdcc-e72a-4132-8a67-9dde9bad5e2a",
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"299dd454-076d-4580-8cb9-4301997e86cd",
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"0a3412da-5f73-4738-8364-15d5919750f3",
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"197da27d-0497-40b5-b2f8-cec4124d32f6",
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"a031d9a8-e433-45cf-826a-8881644f8eac",
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"02702bf3-261c-41e0-a22d-26d3e90493a3",
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"a013fa2c-5b84-49d3-a3b4-fb80a768f37c",
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"c5ea5c83-9535-4d52-a2d0-12c101e3aee9",
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"672a0dd4-a5a0-43c1-bd40-f66cdb241ec7",
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"3b149bfe-31c5-4991-bd6c-ba4c760089d4",
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"b6ae5e37-db6a-4b79-949f-be73b216f677",
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"2f787b42-e43a-4cea-9c12-19a647e21eeb",
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"bfb708e4-18eb-47b5-afde-737f16721e9a",
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"f02032d3-3d60-4cb1-acac-855c229646c3",
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"96b24666-85f2-4f70-ae59-f5a924cc045f",
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"f7701275-cebc-482b-ac31-9cfcd93937c3",
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"fcfe4ee2-b247-4244-8cfc-f3d98d219fea",
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"c6b6d415-323e-46c1-859e-be86fd36ec48",
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"e53216bf-9815-42c7-89c1-953a7b1289a3",
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"5eeef2ff-1616-43bb-a0c1-aa84ad551824",
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"c78fffea-32b8-477e-81e9-7133119d9207",
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"59ccfdeb-8a8a-4693-b4fa-27034192071c",
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"849f1551-604a-4b5c-9b5d-e2771eed488c",
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"cf5d1920-9618-43f3-8dac-53954d19a956",
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"4d0bf08e-3dda-4a2e-8213-72a020873a03",
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"e48c8995-6a64-45c1-ae62-ba96fcc01542",
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"0ef5fdd2-718c-47d2-88bc-2d0193b18530",
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"8302b674-c728-42d2-9ba3-908b4d970436",
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"ab461de6-1137-4548-87bf-f9dd78905417",
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"0b26d479-d9a7-4e07-aa2f-4893467f41c2",
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"604dd8b8-175a-4a74-93d2-28760f1d1835",
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"26c5277c-440a-4dea-b625-beb986cff673",
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"8e33adf0-5932-4535-90c7-10fa04e97201",
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"1ef34494-4d48-4b69-9819-a22c5870fc24",
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"b2b8d7aa-06e8-4ed5-bc9b-cb9ce0e81309",
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"e4017ee0-6141-4145-816f-ed68ee6931bc",
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"84d32175-8cb8-4fb0-95cc-6ae13d40aaaa",
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"27489e34-b04c-410e-99a2-0d93e2e42fbf",
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"65cff7cb-0a29-4c0c-9280-76af55d1432d",
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"e5e8565f-80e2-4462-b687-56f6d64f95e4",
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"27accc37-c3fd-465f-99cd-3e131081aeca",
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"32e112bd-5495-4399-85dd-1925e1ccbba5",
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"dc50ca43-5071-45b3-bf42-e1e64416ffd0",
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"950a6345-5a13-4931-8d82-eac6adef03e3",
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"700640e7-0de3-49dc-b441-4efff8ad33ba",
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"5f35e542-a8cf-4422-8e87-466cdca62864",
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"f50cb362-2f86-44eb-89e6-bea6ecbaf89f",
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"31a7cbe0-6aa6-403b-a561-6bc4fa81c0b1",
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"d694804c-ae1a-4db0-b5fc-2497e43abb6f",
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"a008a4e6-e026-4a1c-8aef-eea78c41b029",
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"4575114c-1e63-41b1-8953-67d3ce3ed3e6",
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"853de4bd-6f6a-4d1d-980a-b67eb1b0e876",
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"cd0fa4e0-2d24-4b35-918a-33baa736015e",
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"933baf03-3664-4c33-bd97-208a9f7ab78b",
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"55bae3db-5f62-4be3-823a-bcb429b8a2b2",
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"4754b85b-e7a6-41a8-b0e9-5e02c58ebc38",
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"33f4fc73-102d-492e-9b0a-383d0b0f68b0",
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"fa8914be-0986-460c-884d-9973a9622045",
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"b9f734fa-de0d-4a0b-9ce2-c092126e1d8d",
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"448f3335-cf11-4e7a-9939-c734861d16e3",
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"106775db-a00d-4956-bf27-97ea269bb001",
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"594cd6c0-17db-4241-be56-ad28a8db4f7b",
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"95f7b67d-3ba8-4d18-bcbb-3e02f7bfaf7a",
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]
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KNOWLEDGEPROPS = "Anthology Academic Economics: Essential, Anthology Academic Economics: Enhanced, Anthology Accreditation: Essential, Anthology Accreditation: Enhanced, Anthology 101: Essential, Anthology Baseline: Essential, Anthology Baseline: Enhanced, Anthology Beacon: Essential, Anthology Course Evaluations: Essential, Anthology Course Evaluations: Enhanced, Anthology Digital Assistant: Essential, Anthology Digital Assistant: Enhanced, Anthology Encompass: Essential, Anthology Encompass: Enhanced, Anthology Encompass: Enhanced+, Anthology Engage: Essential, Anthology Engage: Enhanced, Anthology Engage: Enhanced+, Anthology Evaluate: Essential, Anthology Evaluate: Enhanced, Anthology Finance & HCM: Essential, Anthology Finance & HCM: Enhanced, Anthology Finance & HCM: Enhanced+, Anthology Insight: Essential, Anthology Insight: Enhanced, Blackboard Learn: Essential, Anthology Milestone: Essential, Anthology Milestone: Enhanced, Outcomes: Essential, Outcomes: Enhanced, Anthology Payroll: Essential, Anthology Payroll: Enhanced, Anthology Planning: Essential, Anthology Planning: Enhanced, Anthology Portfolio: Essential, Anthology Portfolio: Enhanced, Power BI: Essential, Power BI: Enhanced, Anthology Program Review: Essential, Anthology Program Review: Enhanced, Anthology Raise: Essential, Anthology Raise: Enhanced, Anthology Raise: Enhanced+, Anthology Reach: Essential, Anthology Reach: Enhanced, Anthology Reach: Enhanced+, Anthology Student: Essential, Anthology Student: Enhanced"
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def groups():
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for row in df.itertuples():
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domain = row[1]
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groups = row[2:]
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# groups = list(groups)
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tmplist = []
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for group in groups:
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group = str(group)
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if "nan" not in group:
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# Grab Group UUIDs
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url = f"https://api.northpass.com/v2/groups?filter[name][eq]={group}"
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response = requests.get(url, headers=HEADERS)
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response = response.json()
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data = response["data"]
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for name in data:
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id = name["id"]
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tmplist.append(id)
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rowdict = {domain: tmplist}
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# Grab all people
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personlist = []
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COUNT += 1
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url = BASEURL + f"?filter[email][cont]={domain}&limit=100"
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response = requests.get(url, headers=HEADERS)
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response = response.json()
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nextlink = response["links"]
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for data in response["data"]:
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person = data["id"]
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personlist.append(person)
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# if "next" not in nextlink:
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# break
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# Construct Payload for Bulk API
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payload = {"payload": {"person_ids": personlist, "group_ids": tmplist}}
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print(payload)
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def props():
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person_id_list = []
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count = 0
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while True:
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count += 1
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url = (
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BASEURL
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+ f"?filter[email][cont]=%40knowledgestate.edu&limit=100&page={count}"
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)
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response = requests.get(url, headers=HEADERS)
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response = response.json()
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nextlink = response["links"]
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for data in response["data"]:
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person_name = data["attributes"]["name"]
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person = data["id"]
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print(f"Adding {person_name}'s id to list. ID: {person}")
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person_id_list.append(person)
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if "next" not in nextlink:
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break
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print(f"Cycling through {len(person_id_list)} people and adding their properties.")
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for person_id in person_id_list:
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propsurl = "https://api.northpass.com/v2/properties/people/bulk"
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payload = {
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"data": [
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{
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"attributes": {
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"properties": {"subscription_levels": KNOWLEDGEPROPS}
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},
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"id": person_id,
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"type": "person_properties",
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}
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]
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}
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prop_response = requests.post(propsurl, headers=HEADERS, json=payload)
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print(f"{person_id}'s status code is {prop_response.status_code}'")
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if prop_response.status_code != 200:
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print(
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f"There is a non-200 status code. The code was {prop_response.status_code}. Here's the text:"
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)
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print(f"{response.text}")
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if __name__ == "__main__":
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props()
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