# coding: utf-8
"""
This module contains all the code related to fetching and loading flats lists.
"""
from __future__ import absolute_import, print_function, unicode_literals
from builtins import str

import collections
import itertools
import json
import logging

from flatisfy import database
from flatisfy import tools
from flatisfy.constants import BACKENDS_BY_PRECEDENCE
from flatisfy.models import flat as flat_model

LOGGER = logging.getLogger(__name__)


try:
    from weboob.capabilities.housing import Query, POSTS_TYPES, HOUSE_TYPES
    from weboob.core.bcall import CallErrors
    from weboob.core.ouiboube import WebNip
    from weboob.tools.json import WeboobEncoder
except ImportError:
    LOGGER.error("Weboob is not available on your system. Make sure you installed it.")
    raise


class WebOOBProxy(object):
    """
    Wrapper around WebOOB ``WebNip`` class, to fetch housing posts without
    having to spawn a subprocess.
    """

    @staticmethod
    def version():
        """
        Get WebOOB version.

        :return: The installed WebOOB version.
        """
        return WebNip.VERSION

    @staticmethod
    def restore_decimal_fields(flat):
        """
        Parse fields expected to be in Decimal type to float. They were dumped
        as str in the JSON dump process.

        :param flat: A flat dict.
        :return: A flat dict with Decimal fields converted to float.
        """
        for field in ["area", "cost", "rooms", "bedrooms", "price_per_meter"]:
            try:
                flat[field] = float(flat[field])
            except (TypeError, ValueError):
                flat[field] = None
            except KeyError:
                pass
        return flat

    def __init__(self, config):
        """
        Create a WebOOB handle and try to load the modules.

        :param config: A config dict.
        """
        # Default backends
        if not config["backends"]:
            backends = BACKENDS_BY_PRECEDENCE
        else:
            backends = config["backends"]

        # Create base WebNip object
        self.webnip = WebNip(modules_path=config["modules_path"])

        # Create backends
        self.backends = [self.webnip.load_backend(module, module, params={}) for module in backends]

    def __enter__(self):
        return self

    def __exit__(self, *args):
        self.webnip.deinit()

    def build_queries(self, constraints_dict):
        """
        Build WebOOB ``weboob.capabilities.housing.Query`` objects from the
        constraints defined in the configuration. Each query has at most 3
        cities, to comply with housing websites limitations.

        :param constraints_dict: A dictionary of constraints, as defined in the
            config.
        :return: A list of WebOOB ``weboob.capabilities.housing.Query``
            objects. Returns ``None`` if an error occurred.
        """
        queries = []

        # First, find all matching cities for the postal codes in constraints
        matching_cities = []
        for postal_code in constraints_dict["postal_codes"]:
            try:
                for city in self.webnip.do("search_city", postal_code):
                    matching_cities.append(city)
            except CallErrors as exc:
                # If an error occured, just log it
                LOGGER.error(
                    ("An error occured while building query for postal code %s: %s"),
                    postal_code,
                    str(exc),
                )

                if not matching_cities:
                    # If postal code gave no match, warn the user
                    LOGGER.warn("Postal code %s could not be matched with a city.", postal_code)

        # Remove "TOUTES COMMUNES" entry which are duplicates of the individual
        # cities entries in Logicimmo module.
        matching_cities = [
            city
            for city in matching_cities
            if not (city.backend == "logicimmo" and city.name.startswith("TOUTES COMMUNES"))
        ]

        # Then, build queries by grouping cities by at most 3
        for cities_batch in tools.batch(matching_cities, 3):
            query = Query()
            query.cities = list(cities_batch)

            try:
                query.house_types = [
                    getattr(HOUSE_TYPES, house_type.upper()) for house_type in constraints_dict["house_types"]
                ]
            except AttributeError:
                LOGGER.error("Invalid house types constraint.")
                return None

            try:
                query.type = getattr(POSTS_TYPES, constraints_dict["type"].upper())
            except AttributeError:
                LOGGER.error("Invalid post type constraint.")
                return None

            query.area_min = constraints_dict["area"][0]
            query.area_max = constraints_dict["area"][1]
            query.cost_min = constraints_dict["cost"][0]
            query.cost_max = constraints_dict["cost"][1]
            query.nb_rooms = constraints_dict["rooms"][0]

            queries.append(query)

        return queries

    def query(self, query, max_entries=None, store_personal_data=False):
        """
        Fetch the housings posts matching a given WebOOB query.

        :param query: A WebOOB `weboob.capabilities.housing.Query`` object.
        :param max_entries: Maximum number of entries to fetch.
        :param store_personal_data: Whether personal data should be fetched
            from housing posts (phone number etc).
        :return: The matching housing posts, dumped as a list of JSON objects.
        """
        housings = []
        # List the useful backends for this specific query
        useful_backends = [x.backend for x in query.cities]
        # TODO: Handle max_entries better
        try:
            for housing in itertools.islice(
                self.webnip.do(
                    "search_housings",
                    query,
                    # Only run the call on the required backends.
                    # Otherwise, WebOOB is doing weird stuff and returning
                    # nonsense.
                    backends=[x for x in self.backends if x.name in useful_backends],
                ),
                max_entries,
            ):
                if not store_personal_data:
                    housing.phone = None
                housings.append(json.dumps(housing, cls=WeboobEncoder))
        except CallErrors as exc:
            # If an error occured, just log it
            LOGGER.error("An error occured while fetching the housing posts: %s", str(exc))
        return housings

    def info(self, full_flat_id, store_personal_data=False):
        """
        Get information (details) about an housing post.

        :param full_flat_id: A WebOOB housing post id, in complete form
            (ID@BACKEND)
        :param store_personal_data: Whether personal data should be fetched
            from housing posts (phone number etc).
        :return: The details in JSON.
        """
        flat_id, backend_name = full_flat_id.rsplit("@", 1)
        try:
            backend = next(backend for backend in self.backends if backend.name == backend_name)
        except StopIteration:
            LOGGER.error("Backend %s is not available.", backend_name)
            return "{}"

        try:
            housing = backend.get_housing(flat_id)
            if not store_personal_data:
                # Ensure phone is cleared
                housing.phone = None
            else:
                # Ensure phone is fetched
                backend.fillobj(housing, "phone")
            # Otherwise, we miss the @backend afterwards
            housing.id = full_flat_id

            return json.dumps(housing, cls=WeboobEncoder)
        except Exception as exc:  # pylint: disable=broad-except
            # If an error occured, just log it
            LOGGER.error("An error occured while fetching housing %s: %s", full_flat_id, str(exc))
            return "{}"


def fetch_flats(config):
    """
    Fetch the available flats using the Flatboob / WebOOB config.

    :param config: A config dict.
    :return: A dict mapping constraint in config to all available matching
        flats.
    """
    fetched_flats = {}

    for constraint_name, constraint in config["constraints"].items():
        LOGGER.info("Loading flats for constraint %s...", constraint_name)
        with WebOOBProxy(config) as webOOB_proxy:
            queries = webOOB_proxy.build_queries(constraint)
            housing_posts = []
            for query in queries:
                housing_posts.extend(webOOB_proxy.query(query, config["max_entries"], config["store_personal_data"]))
        housing_posts = housing_posts[: config["max_entries"]]
        LOGGER.info("Fetched %d flats.", len(housing_posts))

        constraint_flats_list = [json.loads(flat) for flat in housing_posts]
        constraint_flats_list = [WebOOBProxy.restore_decimal_fields(flat) for flat in constraint_flats_list]
        fetched_flats[constraint_name] = constraint_flats_list
    return fetched_flats


def fetch_details(config, flat_id):
    """
    Fetch the additional details for a flat using Flatboob / WebOOB.

    :param config: A config dict.
    :param flat_id: ID of the flat to fetch details for.
    :return: A flat dict with all the available data.
    """
    with WebOOBProxy(config) as webOOB_proxy:
        LOGGER.info("Loading additional details for flat %s.", flat_id)
        webOOB_output = webOOB_proxy.info(flat_id, config["store_personal_data"])

    flat_details = json.loads(webOOB_output)
    flat_details = WebOOBProxy.restore_decimal_fields(flat_details)
    LOGGER.info("Fetched details for flat %s.", flat_id)

    return flat_details


def load_flats_from_file(json_file, config):
    """
    Load a dumped flats list from JSON file.

    :param json_file: The file to load housings list from.
    :return: A dict mapping constraint in config to all available matching
        flats.

    .. note::

        As we do not know which constraint is met by a given flat, all the
        flats are returned for any available constraint, and they will be
        filtered out afterwards.
    """
    flats_list = []
    try:
        LOGGER.info("Loading flats list from file %s", json_file)
        with open(json_file, "r") as fh:
            flats_list = json.load(fh)
        LOGGER.info("Found %d flats.", len(flats_list))
    except (IOError, ValueError):
        LOGGER.error("File %s is not a valid dump file.", json_file)
    return {constraint_name: flats_list for constraint_name in config["constraints"]}


def load_flats_from_db(config):
    """
    Load flats from database.

    :param config: A config dict.
    :return: A dict mapping constraint in config to all available matching
        flats.
    """
    get_session = database.init_db(config["database"], config["search_index"])

    loaded_flats = collections.defaultdict(list)
    with get_session() as session:
        for flat in session.query(flat_model.Flat).all():
            loaded_flats[flat.flatisfy_constraint].append(flat.json_api_repr())
    return loaded_flats