Allow to define the threshold between a housing and a station
Fix #101.
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@ -121,6 +121,9 @@ List of configuration options:
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fetch personal data from housing posts and store them in database. Such
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fetch personal data from housing posts and store them in database. Such
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personal data include contact phone number for instance. By default,
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personal data include contact phone number for instance. By default,
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Flatisfy does not store such personal data.
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Flatisfy does not store such personal data.
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* `max_distance_housing_station` is the maximum distance (in meters) between
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an housing and a public transport station found for this housing (default is
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`1500`). This is useful to avoid false-positive.
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_Note:_ In production, you can either use the `serve` command with a reliable
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_Note:_ In production, you can either use the `serve` command with a reliable
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webserver instead of the default Bottle webserver (specifying a `webserver`
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webserver instead of the default Bottle webserver (specifying a `webserver`
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@ -44,6 +44,9 @@ DEFAULT_CONFIG = {
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# Whether or not to store personal data from housing posts (phone number
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# Whether or not to store personal data from housing posts (phone number
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# etc)
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# etc)
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"store_personal_data": False,
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"store_personal_data": False,
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# Max distance between an housing and a found station, to avoid
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# false-positive
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"max_distance_housing_station": 1500,
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# Navitia API key
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# Navitia API key
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"navitia_api_key": None,
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"navitia_api_key": None,
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# Number of filtering passes to run
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# Number of filtering passes to run
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@ -140,6 +143,7 @@ def validate_config(config, check_with_data):
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assert config["smtp_to"] is None or isinstance(config["smtp_to"], list)
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assert config["smtp_to"] is None or isinstance(config["smtp_to"], list)
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assert isinstance(config["store_personal_data"], bool)
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assert isinstance(config["store_personal_data"], bool)
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assert isinstance(config["max_distance_housing_station"], int) or isinstance(config["max_distance_housing_station"], float) # noqa: E501
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# Ensure constraints are ok
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# Ensure constraints are ok
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assert config["constraints"]
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assert config["constraints"]
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@ -240,18 +240,17 @@ def guess_postal_code(flats_list, constraint, config, distance_threshold=20000):
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return flats_list
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return flats_list
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def guess_stations(flats_list, constraint, config, distance_threshold=1500):
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def guess_stations(flats_list, constraint, config):
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"""
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"""
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Try to match the station field with a list of available stations nearby.
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Try to match the station field with a list of available stations nearby.
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:param flats_list: A list of flats dict.
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:param flats_list: A list of flats dict.
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:param constraint: The constraint that the ``flats_list`` should satisfy.
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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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:param config: A config dict.
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:param distance_threshold: Maximum distance (in meters) between the center
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of the postal code and the station to consider it ok.
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:return: An updated list of flats dict with guessed nearby stations.
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:return: An updated list of flats dict with guessed nearby stations.
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"""
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"""
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distance_threshold = config['max_distance_housing_station']
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opendata = {
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opendata = {
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"postal_codes": data.load_data(PostalCode, constraint, config),
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"postal_codes": data.load_data(PostalCode, constraint, config),
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"stations": data.load_data(PublicTransport, constraint, config)
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"stations": data.load_data(PublicTransport, constraint, config)
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