A postgresql wrapper similar to diskcache
Project description
PgCache
PgCache
is a synchronous caching library based on PostgreSQL, using SQLAlchemy for database operations.
Installation
First, ensure you have installed the required dependencies:
pip install sqlalchemy psycopg2
Usage
Initializing the Cache
import logging
from pg_cache.sync_cache import PgCache # Assuming the synchronous version class file is sync_cache.py
DATABASE_URL = "postgresql://username:password@localhost:5432/dbname"
def main():
cache = PgCache(DATABASE_URL, "cache_table", log_level=logging.ERROR)
# Initialize the database
cache.init_db()
# Set cache
cache.set("test_key", {"foo": "bar"}, expire_after_seconds=60)
print("Set cache entry")
# Get cache
value = cache.get("test_key")
print(f"Got cache entry: {value}")
# Delete cache
cache.delete("test_key")
print("Deleted cache entry")
# Get deleted cache
value = cache.get("test_key")
print(f"Got cache entry after deletion: {value}")
if __name__ == "__main__":
main()
Method Descriptions
__init__(self, db_url: str, table_name: str, log_level: int = logging.ERROR)
Initialize a PgCache
instance.
db_url
: Database connection string.table_name
: Name of the cache table.log_level
: Log level, default islogging.ERROR
.
init_db(self) -> None
Initialize the database and create the cache table.
set(self, key: str, value: Any, expire_after_seconds: int = 86400) -> None
Set a cache entry.
key
: Cache key.value
: Cache value, can be any type of data.expire_after_seconds
: Cache expiration time in seconds, default is 86400 seconds (1 day).
set_bulk(self, entries: List[Dict[str, Any]], expire_after_seconds: int = 86400) -> None
Set multiple cache entries in bulk.
entries
: List of multiple cache entries, each entry is a dictionary containingkey
andvalue
.expire_after_seconds
: Cache expiration time in seconds, default is 86400 seconds (1 day).
get(self, key: str) -> Optional[Any]
Get a cache entry.
key
: Cache key.- Return value: Cache value, if the cache entry does not exist or has expired, returns
None
.
delete(self, key: str) -> None
Delete a cache entry.
key
: Cache key.
flushdb(self) -> None
Clear all cache entries.
export_to_file(self, file_path: str) -> None
Export cache entries to a file.
file_path
: Path to the export file.
import_from_file(self, file_path: str) -> None
Import cache entries from a file.
file_path
: Path to the import file.
Example
Here is a complete example demonstrating how to use the PgCache
class:
import logging
from pg_cache.sync_cache import PgCache # Assuming the synchronous version class file is sync_cache.py
DATABASE_URL = "postgresql://username:password@localhost:5432/dbname"
def main():
cache = PgCache(DATABASE_URL, "cache_table", log_level=logging.ERROR)
# Initialize the database
cache.init_db()
# Set cache
cache.set("test_key", {"foo": "bar"}, expire_after_seconds=60)
print("Set cache entry")
# Get cache
value = cache.get("test_key")
print(f"Got cache entry: {value}")
# Delete cache
cache.delete("test_key")
print("Deleted cache entry")
# Get deleted cache
value = cache.get("test_key")
print(f"Got cache entry after deletion: {value}")
if __name__ == "__main__":
main()
License
This project is licensed under the MIT License.
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