SPS and Walmart notes. Anthology, too.
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@ -11,3 +11,4 @@ sps = "VNDXh8K4tLYJ-Nvp78bo6w"
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anthology = "8ALsk8jDOlynEwn8ScMBSnG87"
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talkspace_1099 = "jpfQoIc2i5S6iq4saFjBOEkbt"
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doximity_internal = "vAnSR4CvxpII6buj3uT23MPBY"
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terminus_employee = "M2er8m0DMQyCyP7zOg3Gbae9k"
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@ -2,7 +2,7 @@ import requests
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import pandas as pd
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import Apikeys
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apiKey = Apikeys.walmartprod
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apiKey = Apikeys.terminus_employee
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course_dict = {}
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@ -12,7 +12,7 @@ def get_course():
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while True:
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count += 1
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url = f"https://api2.northpass.com/v2/courses?page={count}"
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url = f"https://api.northpass.com/v2/courses?page={count}"
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print(url)
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headers = {"accept": "application/json", "X-Api-Key": apiKey}
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response = requests.get(url, headers=headers)
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@ -28,7 +28,7 @@ def get_course():
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"id": uuid,
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"name": name,
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"status": status,
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"build_url": build_url
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# "build_url": build_url
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# "url": f"https://walmart.northpass.com/app/courses/{uuid}",
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}
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@ -49,7 +49,7 @@ def get_cat_name(cat_id, course_dict, courses):
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pass
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elif len(cat_id) == 1:
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categoryid = cat_id[0]["id"]
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url = f"https://api2.northpass.com/v2/categories/{categoryid}"
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url = f"https://api.northpass.com/v2/categories/{categoryid}"
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cat_resp = requests.get(url, headers=headers)
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cat_data = cat_resp.json()
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cat_name = cat_data["data"]["attributes"]["name"]
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@ -59,7 +59,7 @@ def get_cat_name(cat_id, course_dict, courses):
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else:
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for item in cat_id:
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categoryid = item["id"]
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url = f"https://api2.northpass.com/v2/categories/{categoryid}"
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url = f"https://api.northpass.com/v2/categories/{categoryid}"
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cat_resp = requests.get(url, headers=headers)
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cat_data = cat_resp.json()
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cat_name = cat_data["data"]["attributes"]["name"]
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@ -76,7 +76,7 @@ def get_cat_name(cat_id, course_dict, courses):
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def write_to_csv(courses):
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df = pd.DataFrame.from_dict(courses)
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df.to_csv("/Users/normrasmussen/Downloads/walmart_courses.csv")
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df.to_csv("/Users/normrasmussen/Downloads/terminus_courses.csv")
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if __name__ == "__main__":
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