Exemple #1
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    def __init__(self,record:dict):
        self.record = record
        # self.record['geom'] = 'SRID=4326;'+ self.record['geom']
        self.record['geom'] = func.ST_GeomFromText(self.record['geom'],4326)
        #insert factor to selfrecord
        self.record = self.insert_dis_factor(self.record)
        print("insert dis factor to self.record complete")
        self.show_calculate = False
        self.setting = {
            "show_comparetor" : True 
        }
        #read main factor for prop type from ini 
        # self.appr_rule = read_init("wqs.ini")

        self.factor_weight = {
            "location" : 50 ,
            "distance" : [ 10 , 10 , 5 , 5 , 5] ,
            "area" : 15 ,
            }
        # 5: dis +-300 and area +- 500 
        self.item_weight_rule = {
            5 : [300 ,500],                 # weight = 5 when distance +-300
            4 : [500,800],
            3 : [1000,1500]
        }
        "where district = "
        #must in ini file 
        self.comparetor_num = 5
        print("start finding ",self.comparetor_num," comparetor")
        self.comparetors = self.find_all_comparetor(self.record)
        if self.setting['show_comparetor'] :
            self.record["comparetors"] = self.comparetors
        print("finish finding")
        self.cal_apprisal_price()
Exemple #2
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 def get_by_buffer(self, input_geom):
     # new_geom = func.ST_GeomFromText(geom)
     sql = self.model.select().where(
         func.ST_Intersects(
             func.ST_setsrid(
                 func.ST_Buffer(func.ST_GeomFromText(input_geom), 0.5,
                                "quad_segs=8"), 4326),
             func.ST_setsrid(self.model.c.geom, 4326)))
     result = connection.execute(sql).fetchall()
     return result
Exemple #3
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def get_naerby_facility(geom, cat_id, buffer_size=2000):
    new_records = []
    geom = func.ST_GeomFromText(geom, 4326)
    results = find_distance_to_nearby_cat(geom, cat_id, buffer_size)
    for result in results:
        new_record = {}
        new_record['name'] = result[1]
        new_record['distance'] = result[0]
        new_records.append(new_record)
    return new_records
def get_by_buffer(input_geom, cat_id=None, buffer_size=500):

    sql = table.model.select().where(
        and_(
            func.ST_Intersects(
                func.ST_setsrid(
                    func.ST_Buffer(func.ST_GeomFromText(input_geom),
                                   buffer_size, "quad_segs=8"), 4326),
                func.ST_setsrid(table.model.c.geom, 4326)),
            table.model.c.category_id == cat_id))
    # new_geom = func.ST_GeomFromText(geom)
    if cat_id is not None:
        sql = table.model.select().where(
            func.ST_Intersects(
                func.ST_setsrid(
                    func.ST_Buffer(func.ST_GeomFromText(input_geom),
                                   buffer_size, "quad_segs=8"), 4326),
                func.ST_setsrid(table.model.c.geom, 4326)))
    results = connection.execute(sql).fetchall()
    return results
Exemple #5
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def insert_records(json_file_name):
    # category => Crud table
    # shp => Crud table
    category_record = util.readFromJson(json_file_name)
    shp_records = category_record.pop('records', None)
    # print(shp_records)
    category_id = category.insert_record(category_record)
    for record in shp_records:
        name = record['name']
        print(f"   => upload {name}")
        record['category_id'] = category_id

        #not sure
        record['geom'] = func.ST_GeomFromText(record['geom'], 4326)
        shp.insert_record(record)
Exemple #6
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def get_by_buffer_in_meter(input_geom, cat_id, buffer_size=100000):
    print("start finding all buffer")
    if isinstance(input_geom, str):
        input_geom = func.ST_GeomFromText(input_geom, 4326)
    results = get_by_buffer(input_geom, buffer_size)
    output = []
    for record in results:
        r_record = dict(record.items())
        if r_record['category_id'] == cat_id:
            output.append(r_record)
    results = buffer_in_meter(output, buffer_size, input_geom)
    for i in results:
        i['geom'] = convert_wkb(i['geom'])

    print("finish finding all cat_id: ", cat_id, "in distance", buffer_size,
          "meters")
    return results
Exemple #7
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def read_category(request):
    record = json.loads(request)
    return json.dumps(
        get_naerby_facility(func.ST_GeomFromText(record['geom'], 4326),
                            record['cat_id'], record['buffer_size']))