2024-09-10 17:40:50 -04:00
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from bs4 import BeautifulSoup
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import pandas,geopandas, pyproj, re, os, datetime
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from shapely.geometry import Point
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from sqlalchemy import create_engine
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from geoalchemy2 import Geometry, WKTElement
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2024-09-07 18:13:36 -04:00
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2024-09-10 17:40:50 -04:00
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def camel_to_snake(name):
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return re.sub(r'(?<!^)(?=[A-Z])', '_', name).lower()
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def process_buffer_population(data):
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transformer = pyproj.Transformer.from_crs('EPSG:2950', 'EPSG:4326', always_xy=True)
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PERSON_LIST = []
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elements = BeautifulSoup(data,'html.parser')
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for person in elements.find_all('person'):
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person_obj = {}
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person_obj['id'] = person['id']
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activity = person.find('plan').find('activity')
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lat, lon = transformer.transform(activity['x'], activity['y'])
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person_obj['coordinates'] = Point(lon,lat)
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person_obj['time'] = activity['end_time']
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for attr in person.find_all('attribute'):
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person_obj[camel_to_snake(attr['name'])] = attr.get_text()
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PERSON_LIST.append(person_obj)
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return pandas.DataFrame(PERSON_LIST)
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2024-09-07 18:13:36 -04:00
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def push_population(data,mode):
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2024-09-10 17:40:50 -04:00
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GDF = geopandas.GeoDataFrame(data, crs='EPSG:4326')
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GDF['geom'] = GDF['coordinates'].apply(lambda x: WKTElement(x.wkt, srid=os.getenv("SRID")))
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engine = create_engine(f'postgresql://{os.getenv("USER")}:{os.getenv("PASS")}@{os.getenv("HOST_NAME")}/{os.getenv("DATA_BASE")}', echo=False)
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GDF.to_sql(
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name='agents',
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con=engine,
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if_exists=mode,
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chunksize=os.getenv("CHUNK_SIZE"),
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dtype={'geom': Geometry('Point', srid=os.getenv("SRID"))},
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index=False
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)
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2024-09-07 18:13:36 -04:00
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2024-09-10 17:40:50 -04:00
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def write_population(data, file):
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directory = file.parent
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id = datetime.datetime.now().strftime("%Y%m%d")
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csv = directory / (file.stem + id +".csv")
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if csv.exists():
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data.to_csv(csv, mode='a',index=False)
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else:
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data.to_csv(csv,index=False)
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