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# coding: utf-8
"""
Main commands available for flatisfy.
"""
from __future__ import absolute_import, print_function, unicode_literals
import collections
import logging
import flatisfy.filters
from flatisfy import database
from flatisfy.models import flat as flat_model
from flatisfy import fetch
from flatisfy import tools
from flatisfy.filters import metadata
from flatisfy.web import app as web_app
LOGGER = logging.getLogger(__name__)
def filter_flats(config, flats_list, fetch_details=True):
"""
Filter the available flats list. Then, filter it according to criteria.
:param config: A config dict.
:param fetch_details: Whether additional details should be fetched between
the two passes.
:param flats_list: The initial list of flat objects to filter.
:return: A dict mapping flat status and list of flat objects.
"""
# pylint: disable=locally-disabled,redefined-variable-type
# Add the flatisfy metadata entry and prepare the flat objects
flats_list = metadata.init(flats_list)
first_pass_result = collections.defaultdict(list)
second_pass_result = collections.defaultdict(list)
third_pass_result = collections.defaultdict(list)
# Do a first pass with the available infos to try to remove as much
# unwanted postings as possible
if config["passes"] > 0:
first_pass_result = flatisfy.filters.first_pass(flats_list,
config)
else:
first_pass_result["new"] = flats_list
# Load additional infos
if fetch_details:
for i, flat in enumerate(first_pass_result["new"]):
details = fetch.fetch_details(config, flat["id"])
first_pass_result["new"][i] = tools.merge_dicts(flat, details)
# Do a second pass to consolidate all the infos we found and make use of
# additional infos
if config["passes"] > 1:
second_pass_result = flatisfy.filters.second_pass(
first_pass_result["new"], config
)
else:
second_pass_result["new"] = first_pass_result["new"]
# Do a third pass to deduplicate better
if config["passes"] > 2:
third_pass_result = flatisfy.filters.third_pass(
second_pass_result["new"], config
)
else:
third_pass_result["new"] = second_pass_result["new"]
return {
"new": third_pass_result["new"],
"duplicate": (
first_pass_result["duplicate"] +
second_pass_result["duplicate"] +
third_pass_result["duplicate"]
),
"ignored": (
first_pass_result["ignored"] +
second_pass_result["ignored"] +
third_pass_result["ignored"]
)
}
def import_and_filter(config, load_from_db=False):
"""
Fetch the available flats list. Then, filter it according to criteria.
Finally, store it in the database.
:param config: A config dict.
:param load_from_db: Whether to load flats from database or fetch them
using Weboob.
:return: ``None``.
"""
# Fetch and filter flats list
if load_from_db:
flats_list = fetch.load_flats_list_from_db(config)
else:
flats_list = fetch.fetch_flats_list(config)
# Do not fetch additional details if we loaded data from the db.
flats_list_by_status = filter_flats(config, flats_list=flats_list,
fetch_details=(not load_from_db))
# Create database connection
get_session = database.init_db(config["database"], config["search_index"])
LOGGER.info("Merging fetched flats in database...")
with get_session() as session:
for status, flats_list in flats_list_by_status.items():
# Build SQLAlchemy Flat model objects for every available flat
flats_objects = {
flat_dict["id"]: flat_model.Flat.from_dict(flat_dict)
for flat_dict in flats_list
}
if flats_objects:
# If there are some flats, try to merge them with the ones in
# db
existing_flats_queries = session.query(flat_model.Flat).filter(
flat_model.Flat.id.in_(flats_objects.keys())
)
for each in existing_flats_queries.all():
# For each flat to merge, take care not to overwrite the
# status if the user defined it
flat_object = flats_objects[each.id]
if each.status in flat_model.AUTOMATED_STATUSES:
flat_object.status = getattr(
flat_model.FlatStatus, status
)
else:
flat_object.status = each.status
# For each flat already in the db, merge it (UPDATE)
# instead of adding it
session.merge(flats_objects.pop(each.id))
# For any other flat, it is not already in the database, so we can
# just set the status field without worrying
for flat in flats_objects.values():
flat.status = getattr(flat_model.FlatStatus, status)
session.add_all(flats_objects.values())
LOGGER.info("Done!")
def purge_db(config):
"""
Purge the database.
:param config: A config dict.
:return: ``None``
"""
get_session = database.init_db(config["database"], config["search_index"])
with get_session() as session:
# Delete every flat in the db
LOGGER.info("Purge all flats from the database.")
for flat in session.query(flat_model.Flat).all():
# Use (slower) deletion by object, to ensure whoosh index is
# updated
session.delete(flat)
def serve(config):
"""
Serve the web app.
:param config: A config dict.
:return: ``None``, long-running process.
"""
app = web_app.get_app(config)
server = config.get("webserver", None)
if not server:
# Default webserver is quiet, as Bottle is used with Canister for
# standard logging
server = web_app.QuietWSGIRefServer
app.run(host=config["host"], port=config["port"], server=server)