File size: 1,836 Bytes
77da5ce | 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 | import os
import sys
import json
import chromadb
# Add project root to path
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
def export_memory():
path = "./lifestack_memory"
dest = "./data/preseeded_memory.json"
if not os.path.exists(path):
print(f"❌ Error: {path} not found.")
return
print(f"📦 Exporting wisdom from {path}...")
client = chromadb.PersistentClient(path=path)
# Export decisions
decisions = client.get_collection(name='decisions')
all_decisions = decisions.get(include=["documents", "metadatas", "embeddings"])
# Export trajectories
trajectories = client.get_collection(name='trajectories')
all_trajectories = trajectories.get(include=["documents", "metadatas", "embeddings"])
export_data = {
"decisions": {
"ids": all_decisions["ids"],
"documents": all_decisions["documents"],
"metadatas": all_decisions["metadatas"],
"embeddings": [e.tolist() if hasattr(e, 'tolist') else e for e in all_decisions["embeddings"]] if all_decisions["embeddings"] is not None else None
},
"trajectories": {
"ids": all_trajectories["ids"],
"documents": all_trajectories["documents"],
"metadatas": all_trajectories["metadatas"],
"embeddings": [e.tolist() if hasattr(e, 'tolist') else e for e in all_trajectories["embeddings"]] if all_trajectories["embeddings"] is not None else None
}
}
os.makedirs("./data", exist_ok=True)
with open(dest, "w") as f:
json.dump(export_data, f)
print(f"✅ Successfully exported {len(all_decisions['ids'])} decisions and {len(all_trajectories['ids'])} trajectories to {dest}")
if __name__ == "__main__":
export_memory()
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