from abc import ABC, abstractmethod
class UnknownChannel(Exception):
pass
from sklearn.compose import ColumnTransformer
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.impute import SimpleImputer
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import OneHotEncoder, StandardScaler
from sklearn.ensemble import RandomForestClassifier
import asyncio
import time
from dataclasses import dataclass, field
@dataclass
import pandas as pd
df = pd.read_csv(
'orders.csv',
parse_dates=['created_at'],
dtype={
from django.db import models
class Post(models.Model):
title = models.CharField(max_length=200)
content = models.TextField()
import base64
import json
from datetime import datetime
from typing import Optional, Tuple
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
sns.set_theme(style='whitegrid', palette='deep', context='talk')
plt.rcParams.update({
import abc
from typing import IO
class Exporter(abc.ABC):
name: str = ""
from sqlalchemy import select
from .models import Order, db
def stream_orders(batch_size=1000):
from django.db import migrations
def populate_slugs(apps, schema_editor):
"""Generate slugs for existing posts."""
Post = apps.get_model('blog', 'Post')
import random
class ReadWriteRouter:
"""Route reads to replicas, writes to primary."""
from blog.models import Post
# Load only specific fields
posts = Post.objects.only('id', 'title', 'published_at')
for post in posts: