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changedetection.io/changedetectionio/store/legacy_loader.py
dgtlmoon fceb3cf39f
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Big refactor to save watches as their own datafile with some agnostic data store backend, saves writing a huge JSON file every time (#3775)
2026-01-28 10:18:21 +01:00

67 lines
1.8 KiB
Python

"""
Legacy format loader for url-watches.json.
Provides functions to detect and load from the legacy monolithic JSON format.
Used during migration (update_26) to transition to individual watch.json files.
"""
import os
import json
from loguru import logger
# Try to import orjson for faster JSON serialization
try:
import orjson
HAS_ORJSON = True
except ImportError:
HAS_ORJSON = False
def has_legacy_datastore(datastore_path):
"""
Check if a legacy url-watches.json file exists.
This is used by update_26 to determine if migration is needed.
Args:
datastore_path: Path to datastore directory
Returns:
bool: True if url-watches.json exists
"""
url_watches_json = os.path.join(datastore_path, "url-watches.json")
return os.path.exists(url_watches_json)
def load_legacy_format(json_store_path):
"""
Load datastore from legacy url-watches.json format.
Args:
json_store_path: Full path to url-watches.json file
Returns:
dict: Loaded datastore data with 'watching', 'settings', etc.
None: If file doesn't exist or loading failed
"""
logger.info(f"Loading from legacy format: {json_store_path}")
if not os.path.isfile(json_store_path):
logger.warning(f"Legacy file not found: {json_store_path}")
return None
try:
if HAS_ORJSON:
with open(json_store_path, 'rb') as f:
data = orjson.loads(f.read())
else:
with open(json_store_path, 'r', encoding='utf-8') as f:
data = json.load(f)
logger.info(f"Loaded {len(data.get('watching', {}))} watches from legacy format")
return data
except Exception as e:
logger.error(f"Failed to load legacy format: {e}")
return None