Data Strategy for AI PMs

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import { z } from 'zod';
import { Analytics } from './analytics';

// Define strict schemas for all events
const UserInteractionSchema = z.object({
  eventType: z.enum(['click', 'view', 'scroll', 'submit']),
  userId: z.string().uuid(),
  sessionId: z.string().uuid(),
  timestamp: z.string().datetime(),
  elementId: z.string().min(1),
  pageUrl: z.string().url(),
  metadata: z.object({

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from dataclasses import dataclass
from typing import List, Dict, Optional
from datetime import datetime
import statistics

@dataclass
class DataQualityMetrics:
    completeness: float  # % of non-null values
    freshness_hours: float  # hours since last update
    accuracy_score: float  # validated against ground truth
    consistency_score: float  # cross-field validation
    uniqueness_ratio: float  # % unique records

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import openai
from typing import List, Dict
import json

class SyntheticDataGenerator:
    def __init__(self, api_key: str, base_examples: List[Dict]):
        self.client = openai.OpenAI(api_key=api_key)
        self.base_examples = base_examples
    
    def generate_variations(self, 
                           template: Dict,
                           num_variations: int = 10,

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from dataclasses import dataclass, field
from typing import List, Dict, Optional
from datetime import datetime
import hashlib
import json

@dataclass
class DataLineageRecord:
    record_id: str
    source_system: str
    source_timestamp: datetime
    transformations: List[Dict] = field(default_factory=list)