import os
import dynatraceAPI
import logging
from decouple import config
import yaml
import pandas as pd
from dynatrace import Dynatrace
import logging


def getDashboardsWithViewCount(DT_CLIENT, METRIC_SELECTOR, RESOLUTION,
                               FROM_DATE, TO_DATE):
    metrics = DT_CLIENT.metrics.query(METRIC_SELECTOR, RESOLUTION, FROM_DATE,
                                      TO_DATE)
    return metrics


def getDashboards(DT_CLIENT):
    dashboards = DT_CLIENT.dashboards.list(owner=None, tags=None)
    return dashboards


if __name__ == "__main__":

    logging.basicConfig(level=logging.WARNING, format='%(levelname)s: %(message)s')

    with open(os.path.basename("./environment.yaml")) as env_cfg:
            environment = yaml.safe_load(env_cfg)

    for item, doc in environment.items():
        logging.info(item, " checking token ...")
        
        if config(dict(doc[2]).get("env-token-name"), default='') != "": 
            DT_URL = dict(doc[1]).get("env-url")
            DT_TOKEN = config(dict(doc[2]).get("env-token-name"), default='')
            METRIC_SELECTOR = dict(doc[5]).get("metricSelector")
            RESOLUTION = dict(doc[6]).get("resolution")
            FROM_DATE= dict(doc[7]).get("fromDate")
            TO_DATE= dict(doc[8]).get("toDate")
            
            logging.info(item, " init Dynatrace client ...")
            DT_CLIENT = Dynatrace(DT_URL, DT_TOKEN, logging.Logger("ERROR"), 
                                  None, None, 0, 10*1000)

            logging.info(item, " fetching all dashboards ...")
            dashboards = getDashboards(DT_CLIENT)

            logging.info(item, " fetching dashboards with view count that are\
                          older than 6 Months...")
            viewcounts = getDashboardsWithViewCount(DT_CLIENT, METRIC_SELECTOR,
                                                    RESOLUTION, FROM_DATE,
                                                    TO_DATE)