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 = [
    "Student",
]

def all_groups():
    """
    Get all Group IDs
    """
    gids = []
    for group in GROUPS:
        group_count = 0
        while True:
            group_count += 1
            url = f"https://api.northpass.com/v2/groups?filter[name][cont]={group}&page={group_count}"
            gresponse = requests.get(url, headers=HEADERS)
            gdata = gresponse.json()
            gnext = gdata["links"]

            for response in gdata["data"]:
                group_id = response["id"]
                group_name = response["attributes"]["name"]
                group_tupe = (group_id, group_name)
                print(group_tupe)
                gids.append(group_tupe)

            if "next" not in gnext:
                break

    get_courses(gids)

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)

    #portfolio t1 - dc50ca43-5071-45b3-bf42-e1e64416ffd0
    #academy use/nav t1 - 3875a210-f86d-4b4a-a86a-980022374936

def get_courses(ids):
    df = pd.DataFrame()
    courses = []
    error_groups = []
    for tupe in ids:
        id = tupe[0]
        group = tupe[1]
        for count in range(1, 10):
            print(f"Get Courses For Loop. Group:{ group } and count: {count}")
            url2 = f"groups/{id}/courses?limit=100&page={count}"
            courseurl = f"{BASEURL}{url2}"
            coursereq = requests.get(courseurl, headers=HEADERS)
            try:
                coursedata = coursereq.json()
                nextlink = coursedata["links"]
                for cdata in coursedata["included"]:
                    # if cdata["attributes"]["status"] == "archived":
                    coursedict = parse_data(cdata, group)
                    print(f"Coursedict --> {coursedict} for page {count}")
                    if coursedict is not None:
                        courses.append(coursedict)
            except JSONDecodeError as e:
                print("JSON Error! {e}")
                error_groups.append(group)

            finally:
                if "next" not in nextlink:
                    break

        pddata = df.from_records(courses)
        pddata.to_csv("/Users/normrasmussen/Downloads/ALL-Anthology_Course_IDs_Names.csv")
        print(error_groups)


def parse_data(cdata, group):
    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"]
    status = cdata["attributes"]["status"]
    coursedict = {
        "group": group,
        "name": name,
        "id": courseid,
        "enrollments": enrollments,
        "created at": created,
        "updated at": updated,
        "status": status,
    }
    if coursedict is not None:
        return coursedict


if __name__ == "__main__":
    # group_ids()
    all_groups()