| Name | neurolog JSON |
| Version |
0.0.1
JSON |
| download |
| home_page | None |
| Summary | Neurolog (pre-alpha) |
| upload_time | 2024-12-08 11:10:18 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.12 |
| license | None |
| keywords |
database
disk
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Overview
`co3` is a lightweight Python ORM for hierarchical storage management. It implements a
general type system for defining database components like relations, schemas, engines,
etc. Objects inheriting from the `CO3` base class can then define data transformations
that connect to database components, and can be automatically collected for coordinated
database insertion.
`co3` attempts to provide a general interface for interacting with a storage media (e.g.,
database, pickled objects, VSS framework, in-memory key-value stores, etc). The following
top-level classes capture the bulk of the operational model:
- **Database**: reference to a storage medium, with an `Accessor` for accessing data,
`Manager` for managing database state, and an `Engine` for managing connections and
external operations.
- **Accessor**: provides access to stored items in a `Database`, typically via a supported
`select` operation over known `Component` types
- **Manager**: manages database storage state (e.g., supported inserts or database sync
operations)
- **Mapper**: associates `CO3` types with `Schema` components, and provides automatic
collection and composition operations for supported items
- **Collector**: collects data from defined `CO3` type transformations and prepares for
`Database` insert operations
- **Component**: atomic storage groups for databases (i.e., generalized notion of a
"relation" in relational algebra).
- **Indexer**: automatic caching of supported access queries to a `Database`
- **Schema**: general schema analog for grouping related `Component` sets
- **Differ**: facilitates set operations on results from selectable resources (e.g.,
automatic comparison between file data on disk and file rows in a SQL database)
- **Syncer**: generalized syncing procedure for items between data resources (e.g.,
syncing new, modified, and deleted files from disk to a SQL database that stores file
metadata).
The **CO3** an abstract base class then makes it easy to integrate this model with regular
Python object hierarchies that can be mapped to a storage schema.
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