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import time
import json
import tempfile
import shutil
from huggingface_hub import HfApi, hf_hub_download
HF_TOKEN = os.getenv("HF_TOKEN")
DATASET_ID = os.getenv("DATASET_ID") # e.g. "username/grim-fable-data"
api = HfApi(token=HF_TOKEN)
MANIFEST_FILE = "manifest.json"
# In-memory manifest cache to reduce API calls
_manifest_cache = {"data": None, "last_fetch": 0}
MANIFEST_CACHE_TTL = 30 # seconds
def get_manifest(force_refresh: bool = False):
"""Downloads and reads the manifest.json file with caching."""
if not HF_TOKEN or not DATASET_ID:
return {"saves": {}}
now = time.time()
if not force_refresh and _manifest_cache["data"] and (now - _manifest_cache["last_fetch"] < MANIFEST_CACHE_TTL):
return _manifest_cache["data"]
try:
downloaded_path = hf_hub_download(
repo_id=DATASET_ID,
filename=MANIFEST_FILE,
repo_type="dataset",
token=HF_TOKEN
)
with open(downloaded_path, 'r') as f:
data = json.load(f)
_manifest_cache["data"] = data
_manifest_cache["last_fetch"] = now
return data
except Exception as e:
print(f"Notice: manifest.json not found or could not be read: {e}")
return {"saves": {}}
def update_manifest(save_name: str, description: str = None, deleted: bool = False):
"""Updates the manifest.json with new/updated save info."""
if not HF_TOKEN or not DATASET_ID:
return
manifest = get_manifest()
if "saves" not in manifest: manifest["saves"] = {}
if deleted:
if save_name in manifest["saves"]:
del manifest["saves"][save_name]
else:
existing = manifest["saves"].get(save_name, {"description": "", "timestamp": 0})
manifest["saves"][save_name] = {
"description": description if description is not None else existing["description"],
"timestamp": time.time()
}
try:
with tempfile.NamedTemporaryFile(mode='w', delete=False) as tf:
json.dump(manifest, tf)
temp_path = tf.name
api.upload_file(
path_or_fileobj=temp_path,
path_in_repo=MANIFEST_FILE,
repo_id=DATASET_ID,
repo_type="dataset"
)
os.remove(temp_path)
# Invalidate cache
_manifest_cache["data"] = None
except Exception as e:
print(f"Error updating manifest: {e}")
def save_to_dataset(save_name: str, db_path: str, description: str = None):
if not HF_TOKEN or not DATASET_ID:
return False
try:
api.upload_file(
path_or_fileobj=db_path,
path_in_repo=f"{save_name}/world.db",
repo_id=DATASET_ID,
repo_type="dataset"
)
update_manifest(save_name, description)
return True
except Exception as e:
print(f"Error saving to dataset: {e}")
return False
def load_from_dataset(save_name: str, db_path: str):
if not HF_TOKEN or not DATASET_ID:
return False
path_in_repo = f"{save_name}/world.db"
try:
downloaded_path = hf_hub_download(
repo_id=DATASET_ID,
filename=path_in_repo,
repo_type="dataset",
token=HF_TOKEN
)
shutil.copy(downloaded_path, db_path)
return True
except Exception as e:
print(f"Error loading from dataset: {e}")
return False
def delete_save(save_name: str):
if not HF_TOKEN or not DATASET_ID:
return False
try:
update_manifest(save_name, deleted=True)
files = api.list_repo_files(repo_id=DATASET_ID, repo_type="dataset")
files_to_delete = [f for f in files if f.startswith(f"{save_name}/")]
for f in files_to_delete:
api.delete_file(path_in_repo=f, repo_id=DATASET_ID, repo_type="dataset")
return True
except Exception as e:
print(f"Error deleting save: {e}")
return False
def list_saves():
if not HF_TOKEN or not DATASET_ID:
return []
manifest = get_manifest()
results = []
for name, data in manifest.get("saves", {}).items():
results.append({
"name": name,
"description": data.get("description", ""),
"timestamp": data.get("timestamp", 0)
})
return results
def get_cached_media(save_name: str, entity_id: str, media_type: str):
"""Retrieves media content from the dataset if it exists."""
ext = "webp" if media_type == "image" else "mp3"
path_in_repo = f"{save_name}/media/{entity_id}.{ext}"
try:
downloaded_path = hf_hub_download(
repo_id=DATASET_ID,
filename=path_in_repo,
repo_type="dataset",
token=HF_TOKEN
)
with open(downloaded_path, 'rb') as f:
return f.read()
except Exception:
return None
def save_cached_media(save_name: str, entity_id: str, media_type: str, content: bytes):
"""Saves media content to the dataset."""
ext = "webp" if media_type == "image" else "mp3"
path_in_repo = f"{save_name}/media/{entity_id}.{ext}"
try:
with tempfile.NamedTemporaryFile(mode='wb', delete=False) as tf:
tf.write(content)
temp_path = tf.name
api.upload_file(
path_or_fileobj=temp_path,
path_in_repo=path_in_repo,
repo_id=DATASET_ID,
repo_type="dataset"
)
os.remove(temp_path)
return True
except Exception as e:
print(f"Error caching media: {e}")
return False
class PersistenceLoop:
def __init__(self):
self.last_interaction_time = time.time()
self.last_save_time = time.time()
self.current_save_name = "default_save"
self.needs_save = False
self.turn_counter = 0
def update_interaction(self):
self.last_interaction_time = time.time()
self.needs_save = True
self.turn_counter += 1
def should_autosave(self, interaction_happened=False):
now = time.time()
# Immediate save every 5 turns
if interaction_happened and self.turn_counter >= 5:
self.turn_counter = 0
return True
# If an interaction just happened, we don't save immediately unless it's been a long time (safety check)
if interaction_happened:
if now - self.last_save_time > 3600 and self.needs_save: return True
return False
# Idle save: trigger if we have unsaved changes and it's been 30 mins since last interaction
if self.needs_save and now - self.last_interaction_time > 1800:
return True
return False
persistence_manager = PersistenceLoop()
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