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66 lines
2.8 KiB
66 lines
2.8 KiB
import pandas as pd
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from django.conf import settings
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import sqlalchemy
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from service import models
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from tqdm import tqdm
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def raschet_real(df, koefs):
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koef_summ = sum(koefs.values())
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df['rate'] = df[list(koefs.keys())].apply(lambda x: sum([x[k]*koefs[k] for k in list(koefs.keys())]), axis=1)
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df['rate'] = df['rate'] / koef_summ
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return df
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def raschet(tables, filters, koefs, method):
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conn = sqlalchemy.create_engine(settings.DB_URL, connect_args={'options': '-csearch_path=public'})
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msk_ao = filters.get('msk_ao')
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msk_rayon = filters.get('msk_rayon')
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rate_from = filters.get('rate_from', None)
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rate_to = filters.get('rate_to', None)
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category = filters.get('category', [])
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categories = ','.join([f"'{c}'" for c in category])
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points_df = None
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nets_df = None
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for table in tables:
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if 'point' in table:
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if msk_ao is not None:
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query = f"select * from {table} where msk_ao={msk_ao} and category in ({categories});" if len(categories) > 0 else f"select * from {table} where msk_ao={msk_ao};"
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elif msk_rayon is not None:
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query = f"select * from {table} where msk_rayon={msk_rayon} and category in ({categories});" if len(categories) > 0 else f"select * from {table} where msk_rayon={msk_rayon};"
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else:
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query = f"select * from {table} where category in ({categories});" if len(categories) > 0 else f"select * from {table};"
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points = pd.read_sql(query, conn)
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if method == 'rate':
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points_df = raschet_real(points, koefs)
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if rate_from is not None and rate_to is not None:
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points_df = points_df[(points_df['rate'] >= rate_from) & (points_df['rate'] <= rate_to)]
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else:
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points_df = points[(points['model'] >= rate_from) & (points['model'] <= rate_to)]
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if 'net' in table:
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if msk_ao is not None:
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query = f"select * from {table} where msk_ao={msk_ao};"
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elif msk_rayon is not None:
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query = f"select * from {table} where msk_rayon={msk_rayon};"
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else:
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query = f"select * from {table};"
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nets = pd.read_sql(query, conn)
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if method == 'rate':
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nets_df = raschet_real(nets, koefs)
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if rate_from is not None and rate_to is not None:
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nets_df = nets_df[(nets_df['rate'] >= rate_from) & (nets_df['rate'] <= rate_to)]
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else:
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nets_df = nets[(nets['model'] >= rate_from) & (nets['model'] <= rate_to)]
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return points_df, nets_df
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# ==============
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def load_data(filepath: str):
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models.PlacementPoint.objects.all().delete()
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df = pd.read_csv(filepath).iloc[:,1:].to_dict('records')
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for data in tqdm(df, desc='Loading data...'):
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dt = models.PlacementPoint(**data)
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dt.save()
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