Handle multiple constraints in the config
All the backend part has been rewritten to handle multiple constraints in the config (== multiple queries). Also did some linting. Still to be done: frontend part and doc.
This commit is contained in:
parent
12a55e64be
commit
bdf8a6b8d2
@ -10,11 +10,13 @@ import sys
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logging.basicConfig()
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# pylint: disable=locally-disabled,wrong-import-position
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import flatisfy.config
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from flatisfy import cmds
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from flatisfy import data
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from flatisfy import fetch
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from flatisfy import tools
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# pylint: enable=locally-disabled,wrong-import-position
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LOGGER = logging.getLogger("flatisfy")
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@ -166,31 +168,35 @@ def main():
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# Fetch command
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if args.cmd == "fetch":
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# Fetch and filter flats list
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flats_list = fetch.fetch_flats_list(config)
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flats_list = cmds.filter_flats(config, flats_list=flats_list,
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fetched_flats = fetch.fetch_flats(config)
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fetched_flats = cmds.filter_fetched_flats(config,
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fetched_flats=fetched_flats,
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fetch_details=True)["new"]
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# Sort by cost
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flats_list = tools.sort_list_of_dicts_by(flats_list, "cost")
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fetched_flats = tools.sort_list_of_dicts_by(fetched_flats, "cost")
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print(
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tools.pretty_json(flats_list)
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tools.pretty_json(sum(fetched_flats.values(), []))
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)
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return
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# Filter command
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elif args.cmd == "filter":
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# Load and filter flats list
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if args.input:
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flats_list = fetch.load_flats_list_from_file(args.input)
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fetched_flats = fetch.load_flats_from_file(args.input, config)
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flats_list = cmds.filter_flats(config, flats_list=flats_list,
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fetch_details=False)["new"]
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fetched_flats = cmds.filter_fetched_flats(
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config,
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fetched_flats=fetched_flats,
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fetch_details=False
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)["new"]
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# Sort by cost
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flats_list = tools.sort_list_of_dicts_by(flats_list, "cost")
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fetched_flats = tools.sort_list_of_dicts_by(fetched_flats, "cost")
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# Output to stdout
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print(
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tools.pretty_json(flats_list)
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tools.pretty_json(sum(fetched_flats.values(), []))
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)
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else:
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cmds.import_and_filter(config, load_from_db=True)
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@ -21,19 +21,28 @@ from flatisfy.web import app as web_app
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LOGGER = logging.getLogger(__name__)
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def filter_flats(config, flats_list, fetch_details=True):
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def filter_flats_list(config, constraint_name, flats_list, fetch_details=True):
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"""
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Filter the available flats list. Then, filter it according to criteria.
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:param config: A config dict.
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:param constraint_name: The constraint name that the ``flats_list`` should
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satisfy.
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:param fetch_details: Whether additional details should be fetched between
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the two passes.
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:param flats_list: The initial list of flat objects to filter.
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:return: A dict mapping flat status and list of flat objects.
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"""
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# pylint: disable=locally-disabled,redefined-variable-type
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# Add the flatisfy metadata entry and prepare the flat objects
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flats_list = metadata.init(flats_list)
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flats_list = metadata.init(flats_list, constraint_name)
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# Get the associated constraint from config
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try:
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constraint = config["constraints"][constraint_name]
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except KeyError:
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LOGGER.warning("Missing constraint %s. Using default one.",
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constraint_name)
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constraint = config["constraints"]["default"]
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first_pass_result = collections.defaultdict(list)
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second_pass_result = collections.defaultdict(list)
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@ -42,6 +51,7 @@ def filter_flats(config, flats_list, fetch_details=True):
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# unwanted postings as possible
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if config["passes"] > 0:
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first_pass_result = flatisfy.filters.first_pass(flats_list,
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constraint,
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config)
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else:
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first_pass_result["new"] = flats_list
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@ -56,7 +66,7 @@ def filter_flats(config, flats_list, fetch_details=True):
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# additional infos
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if config["passes"] > 1:
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second_pass_result = flatisfy.filters.second_pass(
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first_pass_result["new"], config
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first_pass_result["new"], constraint, config
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)
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else:
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second_pass_result["new"] = first_pass_result["new"]
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@ -84,6 +94,28 @@ def filter_flats(config, flats_list, fetch_details=True):
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}
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def filter_fetched_flats(config, fetched_flats, fetch_details=True):
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"""
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Filter the available flats list. Then, filter it according to criteria.
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:param config: A config dict.
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:param fetch_details: Whether additional details should be fetched between
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the two passes.
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:param fetched_flats: The initial dict mapping constraints to the list of
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fetched flat objects to filter.
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:return: A dict mapping constraints to a dict mapping flat status and list
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of flat objects.
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"""
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for constraint_name, flats_list in fetched_flats.items():
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fetched_flats[constraint_name] = filter_flats_list(
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config,
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constraint_name,
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flats_list,
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fetch_details
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)
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return fetched_flats
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def import_and_filter(config, load_from_db=False):
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"""
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Fetch the available flats list. Then, filter it according to criteria.
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@ -96,18 +128,24 @@ def import_and_filter(config, load_from_db=False):
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"""
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# Fetch and filter flats list
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if load_from_db:
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flats_list = fetch.load_flats_list_from_db(config)
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fetched_flats = fetch.load_flats_from_db(config)
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else:
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flats_list = fetch.fetch_flats_list(config)
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fetched_flats = fetch.fetch_flats(config)
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# Do not fetch additional details if we loaded data from the db.
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flats_list_by_status = filter_flats(config, flats_list=flats_list,
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flats_by_status = filter_fetched_flats(config, fetched_flats=fetched_flats,
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fetch_details=(not load_from_db))
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# Create database connection
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get_session = database.init_db(config["database"], config["search_index"])
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LOGGER.info("Merging fetched flats in database...")
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# Flatten the flats_by_status dict
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flatten_flats_by_status = collections.defaultdict(list)
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for flats in flats_by_status.values():
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for status, flats_list in flats.items():
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flatten_flats_by_status[status].extend(flats_list)
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with get_session() as session:
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for status, flats_list in flats_list_by_status.items():
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for status, flats_list in flatten_flats_by_status.items():
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# Build SQLAlchemy Flat model objects for every available flat
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flats_objects = {
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flat_dict["id"]: flat_model.Flat.from_dict(flat_dict)
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@ -23,6 +23,7 @@ from flatisfy import tools
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DEFAULT_CONFIG = {
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# Constraints to match
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"constraints": {
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"default": {
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"type": None, # RENT, SALE, SHARING
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"house_types": [], # List of house types, must be in APART, HOUSE,
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# PARKING, LAND, OTHER or UNKNOWN
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@ -34,6 +35,7 @@ DEFAULT_CONFIG = {
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"time_to": {} # Dict mapping names to {"gps": [lat, lng],
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# "time": (min, max) }
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# Time is in seconds
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}
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},
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# Navitia API key
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"navitia_api_key": None,
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@ -94,35 +96,38 @@ def validate_config(config):
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# and use long lines whenever needed, in order to have the full assert
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# message in the log output.
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# pylint: disable=locally-disabled,line-too-long
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assert "type" in config["constraints"]
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assert isinstance(config["constraints"]["type"], str)
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assert config["constraints"]["type"].upper() in ["RENT",
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"SALE", "SHARING"]
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assert "house_types" in config["constraints"]
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assert config["constraints"]["house_types"]
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for house_type in config["constraints"]["house_types"]:
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assert house_type.upper() in ["APART", "HOUSE", "PARKING", "LAND",
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"OTHER", "UNKNOWN"]
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# Ensure default constraint is here
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assert "default" in config["constraints"]
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# Ensure constraints are ok
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for constraint in config["constraints"].values():
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assert "type" in constraint
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assert isinstance(constraint["type"], str)
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assert constraint["type"].upper() in ["RENT", "SALE", "SHARING"]
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assert "postal_codes" in config["constraints"]
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assert config["constraints"]["postal_codes"]
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assert "house_types" in constraint
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assert constraint["house_types"]
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for house_type in constraint["house_types"]:
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assert house_type.upper() in ["APART", "HOUSE", "PARKING", "LAND", "OTHER", "UNKNOWN"] # noqa: E501
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assert "area" in config["constraints"]
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_check_constraints_bounds(config["constraints"]["area"])
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assert "postal_codes" in constraint
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assert constraint["postal_codes"]
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assert "cost" in config["constraints"]
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_check_constraints_bounds(config["constraints"]["cost"])
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assert "area" in constraint
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_check_constraints_bounds(constraint["area"])
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assert "rooms" in config["constraints"]
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_check_constraints_bounds(config["constraints"]["rooms"])
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assert "cost" in constraint
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_check_constraints_bounds(constraint["cost"])
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assert "bedrooms" in config["constraints"]
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_check_constraints_bounds(config["constraints"]["bedrooms"])
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assert "rooms" in constraint
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_check_constraints_bounds(constraint["rooms"])
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assert "time_to" in config["constraints"]
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assert isinstance(config["constraints"]["time_to"], dict)
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for name, item in config["constraints"]["time_to"].items():
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assert "bedrooms" in constraint
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_check_constraints_bounds(constraint["bedrooms"])
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assert "time_to" in constraint
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assert isinstance(constraint["time_to"], dict)
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for name, item in constraint["time_to"].items():
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assert isinstance(name, str)
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assert "gps" in item
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assert isinstance(item["gps"], list)
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@ -24,6 +24,9 @@ except ImportError:
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from functools32 import lru_cache
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except ImportError:
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def lru_cache(maxsize=None):
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"""
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Identity implementation of ``lru_cache`` for fallback.
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"""
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return lambda func: func
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LOGGER.warning(
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"`functools.lru_cache` is not available on your system. Consider "
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@ -66,19 +69,21 @@ def preprocess_data(config, force=False):
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@lru_cache(maxsize=5)
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def load_data(model, config):
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def load_data(model, constraint, config):
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"""
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Load data of the specified model from the database. Only load data for the
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specific areas of the postal codes in config.
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:param model: SQLAlchemy model to load.
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:param constraint: A constraint from configuration to limit the spatial
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extension of the loaded data.
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:param config: A config dictionary.
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:returns: A list of loaded SQLAlchemy objects from the db
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"""
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get_session = database.init_db(config["database"], config["search_index"])
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results = []
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with get_session() as session:
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for postal_code in config["constraints"]["postal_codes"]:
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for postal_code in constraint["postal_codes"]:
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area = data_files.french_postal_codes_to_iso_3166(postal_code)
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results.extend(
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session.query(model)
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@ -4,6 +4,7 @@ This module contains all the code related to fetching and loading flats lists.
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"""
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from __future__ import absolute_import, print_function, unicode_literals
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import collections
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import itertools
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import json
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import logging
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@ -225,18 +226,20 @@ class WeboobProxy(object):
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return "{}"
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def fetch_flats_list(config):
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def fetch_flats(config):
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"""
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Fetch the available flats using the Flatboob / Weboob config.
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:param config: A config dict.
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:return: A list of all available flats.
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:return: A dict mapping constraint in config to all available matching
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flats.
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"""
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flats_list = []
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fetched_flats = {}
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for constraint_name, constraint in config["constraints"].items():
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LOGGER.info("Loading flats for constraint %s...", constraint_name)
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with WeboobProxy(config) as weboob_proxy:
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LOGGER.info("Loading flats...")
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queries = weboob_proxy.build_queries(config["constraints"])
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queries = weboob_proxy.build_queries(constraint)
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housing_posts = []
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for query in queries:
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housing_posts.extend(
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@ -244,10 +247,11 @@ def fetch_flats_list(config):
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)
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LOGGER.info("Fetched %d flats.", len(housing_posts))
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flats_list = [json.loads(flat) for flat in housing_posts]
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flats_list = [WeboobProxy.restore_decimal_fields(flat)
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for flat in flats_list]
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return flats_list
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constraint_flats_list = [json.loads(flat) for flat in housing_posts]
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constraint_flats_list = [WeboobProxy.restore_decimal_fields(flat)
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for flat in constraint_flats_list]
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fetched_flats[constraint_name] = constraint_flats_list
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return fetched_flats
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def fetch_details(config, flat_id):
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@ -269,12 +273,18 @@ def fetch_details(config, flat_id):
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return flat_details
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def load_flats_list_from_file(json_file):
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def load_flats_from_file(json_file, config):
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"""
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Load a dumped flats list from JSON file.
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:param json_file: The file to load housings list from.
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:return: A list of all the flats in the dump file.
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:return: A dict mapping constraint in config to all available matching
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flats.
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.. note::
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As we do not know which constraint is met by a given flat, all the
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flats are returned for any available constraint, and they will be
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filtered out afterwards.
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"""
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flats_list = []
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try:
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@ -284,21 +294,24 @@ def load_flats_list_from_file(json_file):
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LOGGER.info("Found %d flats.", len(flats_list))
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except (IOError, ValueError):
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LOGGER.error("File %s is not a valid dump file.", json_file)
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return flats_list
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return {
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constraint_name: flats_list
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for constraint_name in config["constraints"]
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}
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def load_flats_list_from_db(config):
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def load_flats_from_db(config):
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"""
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Load flats from database.
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:param config: A config dict.
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:return: A list of all the flats in the database.
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:return: A dict mapping constraint in config to all available matching
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flats.
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"""
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flats_list = []
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get_session = database.init_db(config["database"], config["search_index"])
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loaded_flats = collections.defaultdict(list)
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with get_session() as session:
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# TODO: Better serialization
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flats_list = [flat.json_api_repr()
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for flat in session.query(flat_model.Flat).all()]
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return flats_list
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for flat in session.query(flat_model.Flat).all():
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loaded_flats[flat.flatisfy_constraint].append(flat.json_api_repr())
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return loaded_flats
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@ -16,7 +16,7 @@ from flatisfy.filters import metadata
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LOGGER = logging.getLogger(__name__)
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def refine_with_housing_criteria(flats_list, config):
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def refine_with_housing_criteria(flats_list, constraint, config):
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"""
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Filter a list of flats according to criteria.
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@ -25,6 +25,7 @@ def refine_with_housing_criteria(flats_list, config):
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user criteria, and avoid exposing unwanted flats.
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:param flats_list: A list of flats dict to filter.
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:param constraint: The constraint that the ``flats_list`` should satisfy.
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:param config: A config dict.
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:return: A tuple of flats to keep and flats to delete.
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"""
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@ -37,7 +38,7 @@ def refine_with_housing_criteria(flats_list, config):
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postal_code = flat["flatisfy"].get("postal_code", None)
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if (
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postal_code and
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postal_code not in config["constraints"]["postal_codes"]
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postal_code not in constraint["postal_codes"]
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):
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LOGGER.info("Postal code for flat %s is out of range.", flat["id"])
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is_ok[i] = is_ok[i] and False
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@ -47,7 +48,7 @@ def refine_with_housing_criteria(flats_list, config):
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time = time["time"]
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is_within_interval = tools.is_within_interval(
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time,
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*(config["constraints"]["time_to"][place_name]["time"])
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*(constraint["time_to"][place_name]["time"])
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)
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if not is_within_interval:
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LOGGER.info("Flat %s is too far from place %s: %ds.",
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@ -56,7 +57,7 @@ def refine_with_housing_criteria(flats_list, config):
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# Check other fields
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for field in ["area", "cost", "rooms", "bedrooms"]:
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interval = config["constraints"][field]
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interval = constraint[field]
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is_within_interval = tools.is_within_interval(
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flat.get(field, None),
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*interval
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@ -80,7 +81,7 @@ def refine_with_housing_criteria(flats_list, config):
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)
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def first_pass(flats_list, config):
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def first_pass(flats_list, constraint, config):
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"""
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First filtering pass.
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@ -89,6 +90,7 @@ def first_pass(flats_list, config):
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only request more data for the remaining housings.
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:param flats_list: A list of flats dict to filter.
|
||||
:param constraint: The constraint that the ``flats_list`` should satisfy.
|
||||
:param config: A config dict.
|
||||
:return: A dict mapping flat status and list of flat objects.
|
||||
"""
|
||||
@ -108,11 +110,12 @@ def first_pass(flats_list, config):
|
||||
)
|
||||
|
||||
# Guess the postal codes
|
||||
flats_list = metadata.guess_postal_code(flats_list, config)
|
||||
flats_list = metadata.guess_postal_code(flats_list, constraint, config)
|
||||
# Try to match with stations
|
||||
flats_list = metadata.guess_stations(flats_list, config)
|
||||
flats_list = metadata.guess_stations(flats_list, constraint, config)
|
||||
# Remove returned housing posts that do not match criteria
|
||||
flats_list, ignored_list = refine_with_housing_criteria(flats_list, config)
|
||||
flats_list, ignored_list = refine_with_housing_criteria(flats_list,
|
||||
constraint, config)
|
||||
|
||||
return {
|
||||
"new": flats_list,
|
||||
@ -121,7 +124,7 @@ def first_pass(flats_list, config):
|
||||
}
|
||||
|
||||
|
||||
def second_pass(flats_list, config):
|
||||
def second_pass(flats_list, constraint, config):
|
||||
"""
|
||||
Second filtering pass.
|
||||
|
||||
@ -133,6 +136,7 @@ def second_pass(flats_list, config):
|
||||
possible from the fetched housings.
|
||||
|
||||
:param flats_list: A list of flats dict to filter.
|
||||
:param constraint: The constraint that the ``flats_list`` should satisfy.
|
||||
:param config: A config dict.
|
||||
:return: A dict mapping flat status and list of flat objects.
|
||||
"""
|
||||
@ -141,16 +145,17 @@ def second_pass(flats_list, config):
|
||||
# left and we already tried to find postal code and nearby stations.
|
||||
|
||||
# Confirm postal code
|
||||
flats_list = metadata.guess_postal_code(flats_list, config)
|
||||
flats_list = metadata.guess_postal_code(flats_list, constraint, config)
|
||||
|
||||
# Better match with stations (confirm and check better)
|
||||
flats_list = metadata.guess_stations(flats_list, config)
|
||||
flats_list = metadata.guess_stations(flats_list, constraint, config)
|
||||
|
||||
# Compute travel time to specified points
|
||||
flats_list = metadata.compute_travel_times(flats_list, config)
|
||||
flats_list = metadata.compute_travel_times(flats_list, constraint, config)
|
||||
|
||||
# Remove returned housing posts that do not match criteria
|
||||
flats_list, ignored_list = refine_with_housing_criteria(flats_list, config)
|
||||
flats_list, ignored_list = refine_with_housing_criteria(flats_list,
|
||||
constraint, config)
|
||||
|
||||
return {
|
||||
"new": flats_list,
|
||||
|
@ -19,13 +19,14 @@ from flatisfy.models.public_transport import PublicTransport
|
||||
LOGGER = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def init(flats_list):
|
||||
def init(flats_list, constraint):
|
||||
"""
|
||||
Create a flatisfy key containing a dict of metadata fetched by flatisfy for
|
||||
each flat in the list. Also perform some basic transform on flat objects to
|
||||
prepare for the metadata fetching.
|
||||
|
||||
:param flats_list: A list of flats dict.
|
||||
:param constraint: The constraint that the ``flats_list`` should satisfy.
|
||||
:return: The updated list
|
||||
"""
|
||||
for flat in flats_list:
|
||||
@ -41,6 +42,8 @@ def init(flats_list):
|
||||
# Create merged_ids key
|
||||
if "merged_ids" not in flat:
|
||||
flat["merged_ids"] = [flat["id"]]
|
||||
if "constraint" not in flat:
|
||||
flat["constraint"] = constraint
|
||||
|
||||
return flats_list
|
||||
|
||||
@ -119,11 +122,12 @@ def fuzzy_match(query, choices, limit=3, threshold=75):
|
||||
return matches
|
||||
|
||||
|
||||
def guess_postal_code(flats_list, config, distance_threshold=20000):
|
||||
def guess_postal_code(flats_list, constraint, config, distance_threshold=20000):
|
||||
"""
|
||||
Try to guess the postal code from the location of the flats.
|
||||
|
||||
:param flats_list: A list of flats dict.
|
||||
:param constraint: The constraint that the ``flats_list`` should satisfy.
|
||||
:param config: A config dict.
|
||||
:param distance_threshold: Maximum distance in meters between the
|
||||
constraint postal codes (from config) and the one found by this function,
|
||||
@ -132,7 +136,7 @@ def guess_postal_code(flats_list, config, distance_threshold=20000):
|
||||
:return: An updated list of flats dict with guessed postal code.
|
||||
"""
|
||||
opendata = {
|
||||
"postal_codes": data.load_data(PostalCode, config)
|
||||
"postal_codes": data.load_data(PostalCode, constraint, config)
|
||||
}
|
||||
|
||||
for flat in flats_list:
|
||||
@ -200,10 +204,10 @@ def guess_postal_code(flats_list, config, distance_threshold=20000):
|
||||
next(
|
||||
(x.lat, x.lng)
|
||||
for x in opendata["postal_codes"]
|
||||
if x.postal_code == constraint
|
||||
if x.postal_code == constraint_postal_code
|
||||
)
|
||||
)
|
||||
for constraint in config["constraints"]["postal_codes"]
|
||||
for constraint_postal_code in constraint["postal_codes"]
|
||||
)
|
||||
|
||||
if distance > distance_threshold:
|
||||
@ -229,21 +233,21 @@ def guess_postal_code(flats_list, config, distance_threshold=20000):
|
||||
return flats_list
|
||||
|
||||
|
||||
def guess_stations(flats_list, config, distance_threshold=1500):
|
||||
def guess_stations(flats_list, constraint, config, distance_threshold=1500):
|
||||
"""
|
||||
Try to match the station field with a list of available stations nearby.
|
||||
|
||||
:param flats_list: A list of flats dict.
|
||||
:param constraint: The constraint that the ``flats_list`` should satisfy.
|
||||
:param config: A config dict.
|
||||
:param distance_threshold: Maximum distance (in meters) between the center
|
||||
of the postal code and the station to consider it ok.
|
||||
|
||||
:return: An updated list of flats dict with guessed nearby stations.
|
||||
"""
|
||||
# TODO: opendata["stations"]
|
||||
opendata = {
|
||||
"postal_codes": data.load_data(PostalCode, config),
|
||||
"stations": data.load_data(PublicTransport, config)
|
||||
"postal_codes": data.load_data(PostalCode, constraint, config),
|
||||
"stations": data.load_data(PublicTransport, constraint, config)
|
||||
}
|
||||
|
||||
for flat in flats_list:
|
||||
@ -343,12 +347,13 @@ def guess_stations(flats_list, config, distance_threshold=1500):
|
||||
return flats_list
|
||||
|
||||
|
||||
def compute_travel_times(flats_list, config):
|
||||
def compute_travel_times(flats_list, constraint, config):
|
||||
"""
|
||||
Compute the travel time between each flat and the points listed in the
|
||||
constraints.
|
||||
|
||||
:param flats_list: A list of flats dict.
|
||||
:param constraint: The constraint that the ``flats_list`` should satisfy.
|
||||
:param config: A config dict.
|
||||
|
||||
:return: An updated list of flats dict with computed travel times.
|
||||
@ -371,7 +376,7 @@ def compute_travel_times(flats_list, config):
|
||||
|
||||
# For each place, loop over the stations close to the flat, and find
|
||||
# the minimum travel time.
|
||||
for place_name, place in config["constraints"]["time_to"].items():
|
||||
for place_name, place in constraint["time_to"].items():
|
||||
time_to_place = None
|
||||
for station in flat["flatisfy"]["matched_stations"]:
|
||||
time_from_station = tools.get_travel_time_between(
|
||||
|
@ -86,6 +86,7 @@ class Flat(BASE):
|
||||
flatisfy_stations = Column(MagicJSON)
|
||||
flatisfy_postal_code = Column(String)
|
||||
flatisfy_time_to = Column(MagicJSON)
|
||||
flatisfy_constraint = Column(String)
|
||||
|
||||
# Status
|
||||
status = Column(Enum(FlatStatus), default=FlatStatus.new)
|
||||
|
@ -298,5 +298,4 @@ def get_travel_time_between(latlng_from, latlng_to, config):
|
||||
"time": time,
|
||||
"sections": sections
|
||||
}
|
||||
else:
|
||||
return None
|
||||
|
@ -39,7 +39,7 @@ def flats_v1(config, db):
|
||||
|
||||
:return: The available flats objects in a JSON ``data`` dict.
|
||||
"""
|
||||
postal_codes = flatisfy.data.load_data(PostalCode, config)
|
||||
postal_codes = flatisfy.data.load_data(PostalCode, config) # TODO
|
||||
|
||||
flats = [
|
||||
flat.json_api_repr()
|
||||
@ -99,7 +99,7 @@ def flat_v1(flat_id, config, db):
|
||||
|
||||
:return: The flat object in a JSON ``data`` dict.
|
||||
"""
|
||||
postal_codes = flatisfy.data.load_data(PostalCode, config)
|
||||
postal_codes = flatisfy.data.load_data(PostalCode, config) # TODO
|
||||
|
||||
flat = db.query(flat_model.Flat).filter_by(id=flat_id).first()
|
||||
|
||||
@ -222,7 +222,7 @@ def time_to_places_v1(config):
|
||||
"""
|
||||
places = {
|
||||
k: v["gps"]
|
||||
for k, v in config["constraints"]["time_to"].items()
|
||||
for k, v in config["constraints"]["time_to"].items() # TODO: Constraints should be named and stored in db along flats
|
||||
}
|
||||
return {
|
||||
"data": places
|
||||
@ -240,7 +240,7 @@ def search_v1(db, config):
|
||||
|
||||
:return: The matching flat objects in a JSON ``data`` dict.
|
||||
"""
|
||||
postal_codes = flatisfy.data.load_data(PostalCode, config)
|
||||
postal_codes = flatisfy.data.load_data(PostalCode, config) # TODO
|
||||
|
||||
try:
|
||||
query = json.load(bottle.request.body)["query"]
|
||||
|
Loading…
Reference in New Issue
Block a user