Started and almost completed Mizuno Script

This commit is contained in:
Norm Rasmussen
2023-04-03 17:16:01 -04:00
parent 478b21c8ef
commit 9ef9e63297
3 changed files with 70 additions and 6 deletions

View File

@ -312,3 +312,7 @@ BDR team is launching their own academy/cert program. It's an internal program a
They will be the QA tester in May
DONE: Send Katlin and Erin examples of customized login pages, forms, learning paths/dashboards, etc.
## 04/04/2023
TODO: Reach out to Katlin regarding admin/embedded.

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@ -5,6 +5,7 @@ import Apikeys
apiKey = Apikeys.walmartprod
course_dict = {}
def get_course():
count = 0
courses = []
@ -22,11 +23,11 @@ def get_course():
uuid = response["id"]
name = response["attributes"]["name"]
course_dict = {
"id": uuid,
"name": name,
"status": status,
"url": f"https://walmart.northpass.com/app/courses/{uuid}"
}
"id": uuid,
"name": name,
"status": status,
"url": f"https://walmart.northpass.com/app/courses/{uuid}",
}
# FIX: Up until here, each course gets read to the terminal.
# FIX: After this, something is being overwritten.
@ -37,6 +38,7 @@ def get_course():
if "next" not in nextlink:
break
def get_cat_name(cat_id, course_dict, courses):
headers = {"accept": "application/json", "X-Api-Key": apiKey}
cats = []
@ -61,7 +63,6 @@ def get_cat_name(cat_id, course_dict, courses):
cats.append(cat_name)
course_dict.update({"categories": cats})
try:
courses.append(course_dict)
except TypeError as e:
@ -74,5 +75,6 @@ def write_to_csv(courses):
df = pd.DataFrame.from_dict(courses)
df.to_csv("/Users/normrasmussen/Downloads/walmart_courses.csv")
if __name__ == "__main__":
get_course()

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@ -0,0 +1,58 @@
import requests
import pandas as pd
from pathlib import Path
import os
basefile = "/Users/normrasmussen/Downloads/mizuno-march-completions.csv"
api_key = "stXNF84HWL8aCGeRjHEo2rJ1U"
uuid_url = "https://api.northpass.com/v2/people?filter[email][eq]="
prop_url = "https://api.northpass.com/v2/properties/people/"
headers = {
"accept": "*/*",
"x-api-key": api_key,
"content-type": "application/json",
}
drop_rows = []
def load_file(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]
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)
except KeyError as e:
print(e)
finally:
pass
def write_to_csv(pgaid, row_num, completions):
print(pgaid)
try:
completions.loc[completions.index[row_num], "PGA ID"] = pgaid
except (TypeError, KeyError) as e:
print(e)
finally:
pass
#completions.drop(completions["PGA ID"] == "0")
print("the end?")
print(completions)
if __name__ == "__main__":
load_file(basefile)