from __future__ import print_function
from __future__ import absolute_import
import os
import re
import logging
import datetime
import time

from pylons import config as pylonsconfig
from ckan.lib.cli import CkanCommand
import ckan.model as model

from . import dbutil, utils

log = logging.getLogger("ckanext.googleanalytics")
PACKAGE_URL = "/dataset/"  # XXX get from routes...

RESOURCE_URL_REGEX = re.compile("/dataset/[a-z0-9-_]+/resource/([a-z0-9-_]+)")
DATASET_EDIT_REGEX = re.compile("/dataset/edit/([a-z0-9-_]+)")


class InitDB(CkanCommand):
    """Initialise the local stats database tables"""

    summary = __doc__.split("\n")[0]
    usage = __doc__
    max_args = 0
    min_args = 0

    def command(self):
        self._load_config()
        model.Session.remove()
        model.Session.configure(bind=model.meta.engine)
        dbutil.init_tables()
        log.info("Set up statistics tables in main database")


class LoadAnalytics(CkanCommand):
    """Parse data from Google Analytics API and store it
    in a local database

    Options:
        <credentials_file> internal [date] use ckan internal tracking tables
                        credentials_file specifies the OAUTH credentials file
                        date specifies start date for retrieving
                        analytics data YYYY-MM-DD format
    """

    summary = __doc__.split("\n")[0]
    usage = __doc__
    max_args = 3
    min_args = 1
    TEST_HOST = None
    CONFIG = None

    def command(self):
        if not self.CONFIG:
            self._load_config()
            self.CONFIG = pylonsconfig

        self.resource_url_tag = utils.config_prefix()
        self.recent_view_days = utils.config_recent_view_days()

        # funny dance we need to do to make sure we've got a
        # configured session
        model.Session.remove()
        model.Session.configure(bind=model.meta.engine)
        self.parse_and_save()

    def internal_save(self, packages_data, summary_date):
        engine = model.meta.engine
        # clear out existing data before adding new
        sql = (
            """DELETE FROM tracking_summary
                 WHERE tracking_date='%s'; """
            % summary_date
        )
        engine.execute(sql)

        for url, count in list(packages_data.items()):
            # If it matches the resource then we should mark it as a resource.
            # For resources we don't currently find the package ID.
            if RESOURCE_URL_REGEX.match(url):
                tracking_type = "resource"
            else:
                tracking_type = "page"

            sql = """INSERT INTO tracking_summary
                     (url, count, tracking_date, tracking_type)
                     VALUES (%s, %s, %s, %s);"""
            engine.execute(sql, url, count, summary_date, tracking_type)

        # get ids for dataset urls
        sql = """UPDATE tracking_summary t
                 SET package_id = COALESCE(
                     (SELECT id FROM package p WHERE t.url =  %s || p.name)
                     ,'~~not~found~~')
                 WHERE t.package_id IS NULL AND tracking_type = 'page';"""
        engine.execute(sql, PACKAGE_URL)

        # get ids for dataset edit urls which aren't captured otherwise
        sql = """UPDATE tracking_summary t
                 SET package_id = COALESCE(
                     (SELECT id FROM package p WHERE t.url =  %s || p.name)
                     ,'~~not~found~~')
                 WHERE t.package_id = '~~not~found~~'
                 AND tracking_type = 'page';"""
        engine.execute(sql, "%sedit/" % PACKAGE_URL)

        # update summary totals for resources
        sql = """UPDATE tracking_summary t1
                 SET running_total = (
                    SELECT sum(count)
                    FROM tracking_summary t2
                    WHERE t1.url = t2.url
                    AND t2.tracking_date <= t1.tracking_date
                 ) + t1.count
                 ,recent_views = (
                    SELECT sum(count)
                    FROM tracking_summary t2
                    WHERE t1.url = t2.url
                    AND t2.tracking_date <= t1.tracking_date
                    AND t2.tracking_date >= t1.tracking_date - %s
                 ) + t1.count
                 WHERE t1.running_total = 0 AND tracking_type = 'resource';"""
        engine.execute(sql, self.recent_view_days)

        # update summary totals for pages
        sql = """UPDATE tracking_summary t1
                 SET running_total = (
                    SELECT sum(count)
                    FROM tracking_summary t2
                    WHERE t1.package_id = t2.package_id
                    AND t2.tracking_date <= t1.tracking_date
                 ) + t1.count
                 ,recent_views = (
                    SELECT sum(count)
                    FROM tracking_summary t2
                    WHERE t1.package_id = t2.package_id
                    AND t2.tracking_date <= t1.tracking_date
                    AND t2.tracking_date >= t1.tracking_date - %s
                 ) + t1.count
                 WHERE t1.running_total = 0 AND tracking_type = 'page'
                 AND t1.package_id IS NOT NULL
                 AND t1.package_id != '~~not~found~~';"""
        engine.execute(sql, self.recent_view_days)

    def bulk_import(self):
        if len(self.args) == 3:
            # Get summeries from specified date
            start_date = datetime.datetime.strptime(self.args[2], "%Y-%m-%d")
        else:
            # No date given. See when we last have data for and get data
            # from 2 days before then in case new data is available.
            # If no date here then use 2010-01-01 as the start date
            engine = model.meta.engine
            sql = """SELECT tracking_date from tracking_summary
                     ORDER BY tracking_date DESC LIMIT 1;"""
            result = engine.execute(sql).fetchall()
            if result:
                start_date = result[0]["tracking_date"]
                start_date += datetime.timedelta(-2)
                # convert date to datetime
                combine = datetime.datetime.combine
                start_date = combine(start_date, datetime.time(0))
            else:
                start_date = datetime.datetime(2011, 1, 1)
        end_date = datetime.datetime.now()
        while start_date < end_date:
            stop_date = start_date + datetime.timedelta(1)
            packages_data = self.get_ga_data_new(
                start_date=start_date, end_date=stop_date
            )
            self.internal_save(packages_data, start_date)
            # sleep to rate limit requests
            time.sleep(0.25)
            start_date = stop_date
            log.info("%s received %s" % (len(packages_data), start_date))
            print("%s received %s" % (len(packages_data), start_date))

    def get_ga_data_new(self, start_date=None, end_date=None):
        """Get raw data from Google Analtyics for packages and
        resources.

        Returns a dictionary like::

           {'identifier': 3}
        """
        start_date = start_date.strftime("%Y-%m-%d")
        end_date = end_date.strftime("%Y-%m-%d")

        packages = {}
        query = "ga:pagePath=~%s,ga:pagePath=~%s" % (
            PACKAGE_URL,
            self.resource_url_tag,
        )
        metrics = "ga:uniquePageviews"
        sort = "-ga:uniquePageviews"

        start_index = 1
        max_results = 10000
        # data retrival is chunked
        completed = False
        while not completed:
            results = (
                self.service.data()
                .ga()
                .get(
                    ids="ga:%s" % self.profile_id,
                    filters=query,
                    dimensions="ga:pagePath",
                    start_date=start_date,
                    start_index=start_index,
                    max_results=max_results,
                    metrics=metrics,
                    sort=sort,
                    end_date=end_date,
                )
                .execute()
            )
            result_count = len(results.get("rows", []))
            if result_count < max_results:
                completed = True

            for result in results.get("rows", []):
                package = result[0]
                package = "/" + "/".join(package.split("/")[2:])
                count = result[1]
                packages[package] = int(count)

            start_index += max_results

            # rate limiting
            time.sleep(0.2)
        return packages

    def parse_and_save(self):
        """Grab raw data from Google Analytics and save to the database"""
        from .ga_auth import init_service, get_profile_id

        tokenfile = self.args[0]
        if not os.path.exists(tokenfile):
            raise Exception("Cannot find the token file %s" % self.args[0])

        try:
            self.service = init_service(self.args[0])
        except TypeError as e:
            raise Exception("Unable to create a service: {0}".format(e))
        self.profile_id = get_profile_id(self.service)

        if len(self.args) > 1:
            if len(self.args) > 2 and self.args[1].lower() != "internal":
                raise Exception("Illegal argument %s" % self.args[1])
            self.bulk_import()
        else:
            query = "ga:pagePath=~%s,ga:pagePath=~%s" % (
                PACKAGE_URL,
                self.resource_url_tag,
            )
            packages_data = self.get_ga_data(query_filter=query)
            self.save_ga_data(packages_data)
            log.info("Saved %s records from google" % len(packages_data))

    def save_ga_data(self, packages_data):
        """Save tuples of packages_data to the database"""
        for identifier, visits in list(packages_data.items()):
            recently = visits.get("recent", 0)
            ever = visits.get("ever", 0)
            matches = RESOURCE_URL_REGEX.match(identifier)
            if matches:
                resource_url = identifier[len(self.resource_url_tag):]
                resource = (
                    model.Session.query(model.Resource)
                    .autoflush(True)
                    .filter_by(id=matches.group(1))
                    .first()
                )
                if not resource:
                    log.warning("Couldn't find resource %s" % resource_url)
                    continue
                dbutil.update_resource_visits(resource.id, recently, ever)
                log.info("Updated %s with %s visits" % (resource.id, visits))
            else:
                package_name = identifier[len(PACKAGE_URL):]
                if "/" in package_name:
                    log.warning("%s not a valid package name" % package_name)
                    continue
                item = model.Package.by_name(package_name)
                if not item:
                    log.warning("Couldn't find package %s" % package_name)
                    continue
                dbutil.update_package_visits(item.id, recently, ever)
                log.info("Updated %s with %s visits" % (item.id, visits))
        model.Session.commit()

    def ga_query(
        self,
        query_filter=None,
        from_date=None,
        to_date=None,
        start_index=1,
        max_results=10000,
        metrics=None,
        sort=None,
    ):
        """Execute a query against Google Analytics"""
        if not to_date:
            now = datetime.datetime.now()
            to_date = now.strftime("%Y-%m-%d")
        if isinstance(from_date, datetime.date):
            from_date = from_date.strftime("%Y-%m-%d")
        if not metrics:
            metrics = "ga:visits,ga:visitors,ga:newVisits,ga:uniquePageviews"
        if not sort:
            sort = "-ga:uniquePageviews"

        print("%s -> %s" % (from_date, to_date))

        results = (
            self.service.data()
            .ga()
            .get(
                ids="ga:" + self.profile_id,
                start_date=from_date,
                end_date=to_date,
                dimensions="ga:pagePath",
                metrics=metrics,
                sort=sort,
                start_index=start_index,
                filters=query_filter,
                max_results=max_results,
            )
            .execute()
        )
        return results

    def get_ga_data(self, query_filter=None, start_date=None, end_date=None):
        """Get raw data from Google Analtyics for packages and
        resources, and for both the last two weeks and ever.

        Returns a dictionary like::

           {'identifier': {'recent':3, 'ever':6}}
        """
        now = datetime.datetime.now()
        recent_date = now - datetime.timedelta(self.recent_view_days)
        recent_date = recent_date.strftime("%Y-%m-%d")
        floor_date = datetime.date(2005, 1, 1)
        packages = {}
        queries = ["ga:pagePath=~%s" % PACKAGE_URL]
        dates = {"recent": recent_date, "ever": floor_date}
        for date_name, date in list(dates.items()):
            for query in queries:
                results = self.ga_query(
                    query_filter=query,
                    metrics="ga:uniquePageviews",
                    from_date=date,
                )
                if "rows" in results:
                    for result in results.get("rows"):
                        package = result[0]
                        if not package.startswith(PACKAGE_URL):
                            package = "/" + "/".join(package.split("/")[2:])

                        count = result[1]
                        # Make sure we add the different representations of the
                        # same dataset /mysite.com & /www.mysite.com ...
                        val = 0
                        if (
                            package in packages
                            and date_name in packages[package]
                        ):
                            val += packages[package][date_name]
                        packages.setdefault(package, {})[date_name] = (
                            int(count) + val
                        )
        return packages