import Apikeys
import requests
import pprint
import csv
import pandas as pd

pp = pprint.PrettyPrinter(indent=4)
APIKEY = Apikeys.ANTHOLOGY
HEADERS = {
    "accept": "application/json",
    "X-Api-Key": APIKEY,
}
BASEURL = "https://api.northpass.com/v2/"
GROUPS = [
    "Accreditation",
    "Anthology 101",
    "Baseline",
    "Course Evaluations",
    "Engage",
    "Evaluate",
    "Finance & HCM",
    "Learn",
    "Portfolio",
    "Power BI",
    "Raise",
    "Reach",
    "Student",
]


def group_ids():
    """
    Get the group Ids from a list of named groups.
    """
    url = "groups"
    ids = []
    for group in GROUPS:
        filter = f"?filter[name][cont]={group} - ("
        urlreq = f"{BASEURL}{url}{filter}"
        response = requests.get(urlreq, headers=HEADERS)
        response = response.json()

        for data in response["data"]:
            group = data["attributes"]["name"]
            id1 = data["id"]
            group_tupe = (id1, group)
            ids.append(group_tupe)

    get_courses(ids)

def get_courses(ids):
    df = pd.DataFrame()
    courses = []
    for tupe in ids:
        id = tupe[0]
        print(id)
        group = tupe[1]
        url2 = f"groups/{id}/courses?limit=100"
        courseurl = f"{BASEURL}{url2}"
        coursereq = requests.get(courseurl, headers=HEADERS)
        coursedata = coursereq.json()
        nextlink = coursedata["links"]
        count = 0
        while "next" in nextlink:
            for count in range(10):
                print(f"Next link for {group} and page {count}")
                coursereq2 = requests.get(f"{courseurl}&page={count}", headers=HEADERS)
                coursedata2 = coursereq2.json()
                next = coursedata2["links"]
                coursedict = parse_data(coursedata2, group)
                print(f"While Coursedict --> {coursedict}")
                if coursedict is None:
                    pass
                else:
                    courses.append(coursedict)
            if "next" not in next:
                break
        else:
            print(f"Else Statement for {group}")
            coursedict = parse_data(coursedata, group)
            print(f"Else Coursedict --> {coursedict}")
            if coursedict is None:
                pass
            else:
                courses.append(coursedict)

    pddata = df.from_records(courses)
    pddata.to_csv("~/Downloads/Anthology_Course_IDs_Names.csv")

def parse_data(coursedata, group):
    for cdata in coursedata["included"]:
        if cdata["attributes"]["status"] == "live":
            name = cdata["attributes"]["name"]
            courseid = cdata["attributes"]["share_course_link"].split("/")[5]
            enrollments = cdata["attributes"]["enrollments_count"]
            created = cdata["attributes"]["created_at"]
            updated = cdata["attributes"]["updated_at"]
            coursedict = {
                "group": group,
                "name": name,
                "id": courseid,
                "enrollments": enrollments,
                "created at": created,
                "updated at": updated,
            }
            if coursedict is not None:
                return coursedict


if __name__ == "__main__":
    group_ids()