PuchAI MCP Server

from math import log, sqrt, exp def get_intent( upvotes, comments, ratio, created_utc, current_utc, author_karma=1, keyword_matches=0, ) -> float: try: age_hours = max((current_utc - created_utc) / 3600, 0.01) engagement_velocity = (upvotes + comments * 3) / age_hours velocity_score = log(1 + engagement_velocity) / log(1000) n = upvotes / max(ratio, 0.01) if n > 0: z = 1.96 phat = upvotes / n wilson = ( phat + z * z / (2 * n) - z * sqrt((phat * (1 - phat) + z * z / (4 * n)) / n) ) / (1 + z * z / n) wilson_normalized = max(wilson, 0) else: wilson_normalized = 0 snr_score = min(comments / sqrt(upvotes) / 10, 1.0) if upvotes > 0 else 0 authority = log(1 + author_karma) / log(1 + 1000000) keyword_saturation = 1 - exp(-keyword_matches * 0.5) components = [velocity_score, wilson_normalized, snr_score, keyword_saturation] if all(x > 0 for x in components): geometric_mean = pow( velocity_score * wilson_normalized * snr_score * keyword_saturation, 1 / 4, ) else: geometric_mean = 0 intent_score = round( ( 100 / ( 1 + exp(-0.1 * (geometric_mean * (0.7 + 0.3 * authority) * 100 - 50)) ) ), 2, ) return intent_score except Exception as e: print(f"Error calculating intent score: {str(e)}") return 0.0