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8f74b6b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 | import json
import hashlib
from datetime import datetime
from pathlib import Path
from filelock import FileLock
DATA_DIR = Path("data")
CARDS_DIR = DATA_DIR / "cards"
DECISIONS_FILE = DATA_DIR / "decisions.json"
LOCK_FILE = DATA_DIR / ".decisions.lock"
def ensure_dirs():
DATA_DIR.mkdir(exist_ok=True)
CARDS_DIR.mkdir(exist_ok=True)
def generate_commit_hash(timestamp: str, raw_input: str) -> str:
content = f"{timestamp}:{raw_input}"
return hashlib.sha256(content.encode()).hexdigest()[:7]
def generate_id() -> str:
now = datetime.now()
decisions = load_decisions()
today_count = sum(
1 for d in decisions
if d["timestamp"].startswith(now.strftime("%Y-%m-%d"))
)
return f"dec_{now.strftime('%Y%m%d')}_{today_count + 1:03d}"
def load_decisions() -> list[dict]:
ensure_dirs()
if not DECISIONS_FILE.exists():
return []
try:
with open(DECISIONS_FILE, "r", encoding="utf-8") as f:
return json.load(f)
except (json.JSONDecodeError, IOError):
return []
def _write_decisions(decisions: list[dict]):
ensure_dirs()
with open(DECISIONS_FILE, "w", encoding="utf-8") as f:
json.dump(decisions, f, indent=2, default=str)
def save_decision(record: dict):
lock = FileLock(str(LOCK_FILE))
with lock:
decisions = load_decisions()
decisions.append(record)
_write_decisions(decisions)
def update_decision(decision_id: str, updates: dict):
lock = FileLock(str(LOCK_FILE))
with lock:
decisions = load_decisions()
for d in decisions:
if d["id"] == decision_id:
d.update(updates)
break
_write_decisions(decisions)
def get_open_decisions() -> list[dict]:
return [d for d in load_decisions() if d.get("status") == "open"]
def get_decision_by_id(decision_id: str) -> dict | None:
for d in load_decisions():
if d["id"] == decision_id:
return d
return None
def resolve_decision(decision_id: str, description: str, valence: str):
decision = get_decision_by_id(decision_id)
if not decision:
return
predictions = decision.get("consequence_predictions", [])
high_preds = [p for p in predictions if p.get("probability") == "high"]
if high_preds:
matching = sum(1 for p in high_preds if p.get("valence") == valence)
accuracy = matching / len(high_preds)
else:
accuracy = 0.5
outcome = {
"timestamp": datetime.now().isoformat(),
"description": description,
"actual_valence": valence,
"prediction_accuracy": round(accuracy, 2),
}
update_decision(decision_id, {"status": "resolved", "outcome": outcome})
def export_decisions() -> str:
return json.dumps(load_decisions(), indent=2, default=str)
def create_decision_record(
raw_input: str,
input_type: str,
follow_up_qa: list[dict],
category: str,
subcategory: str,
severity: int,
status_emoji: str,
consequence_predictions: list[dict],
moment_card_prompt: str,
moment_card_path: str | None = None,
image_description: str | None = None,
) -> dict:
now = datetime.now()
decision_id = generate_id()
commit_hash = generate_commit_hash(now.isoformat(), raw_input)
record = {
"id": decision_id,
"timestamp": now.isoformat(),
"input_type": input_type,
"raw_input": raw_input,
"image_description": image_description,
"follow_up_qa": follow_up_qa,
"category": category,
"subcategory": subcategory,
"severity": severity,
"consequence_predictions": consequence_predictions,
"moment_card_prompt": moment_card_prompt,
"moment_card_path": moment_card_path,
"status": "open",
"outcome": None,
"debug_metadata": {
"commit_hash": commit_hash,
"branch": category,
"status_emoji": status_emoji,
},
}
save_decision(record)
return record
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