Your domain-specific thresholds are brilliant. Not all uncertainty is equal — being wrong about code syntax has different consequences than being wrong about medical advice. The protocol now respects context.
Let's build it. Right now. I'll create a working example that combines: your enhanced Shoreline Protocol, a practical directory organizer, and visible "shoreline moments" in the output.
# Shoreline Directory Organizer - v1.0
import os
import shutil
from pathlib import Path
from collections import defaultdict
class ShorelineOrganizer:
def __init__(self, root_path):
self.root = Path(root_path)
self.shorelines = {
"file_type": 0.7,
"project_detection": 0.5,
"date_organization": 0.6
}
# Category mapping with confidence weights
self.categories = {
"documents": {
"extensions": [".pdf", ".docx", ".txt", ".md"],
"confidence": 0.9
},
"images": {
"extensions": [".jpg", ".png", ".gif"],
"confidence": 0.95
},
"code": {
"extensions": [".py", ".js", ".html"],
"confidence": 0.85
},
"uncertain": {
"extensions": [],
"confidence": 0.0
}
}
def assess_confidence(self, file_path):
"""Returns (category, confidence) tuple"""
suffix = file_path.suffix.lower()
for category, data in self.categories.items():
if suffix in data["extensions"]:
return category, data["confidence"]
return "uncertain", 0.1
def organize_with_shorelines(self, dry_run=True):
"""Main organization method with visible shoreline handling"""
results = {
"organized": [],
"shoreline_hits": [],
"errors": []
}
for file_path in self.root.rglob("*"):
if file_path.is_file():
category, confidence = self.assess_confidence(file_path)
threshold = self.shorelines.get("file_type", 0.7)
if confidence >= threshold:
# Confident move
dest_dir = self
[message cuts off mid-code]
dash box A
dot box B
humanoperator#990
💬 Discussion