IMPORTANT : for versions 4.x of the Neo4j database High-level class to interface with the Neo4j graph database from Python. Mostly tested on versions 4.3 and 4.4 of Neo4j Community version, but should work with other 4.x versions, too. NOT tested on any other major version of Neo4j; in particular, NOT tested with version 5 Conceptually, there are two parts to NeoAccess: 1) "NeoAccessCore": a thin wrapper around the Neo4j python connectivity library Neo4j Python Driver". This core library allows the execution of arbitrary Cypher (query language) commands, and helps manage the complex data structures that they return. It may be used independently, or as the foundation of full "NeoAccess" library. 2) "NeoAccess" : A layer above, providing higher-level functionality for common database operations, such as lookup, creation, deletion, modification, import, indices, etc. NeoAccess differs from all other Brain Annex libraries in some important ways: * It has been out of Beta for a long time * It's available thru the standard Python repository. You can just: pip install neoaccess which will take care of dependencies, and start using it with a simple: from neoaccess import NeoAccess
A layer above the class NeoAccess (or, in principle, another library providing a compatible interface) to provide an optional schema to the underlying database. Schemas may be used to either: 1) acknowledge the existence of typical patterns in the data OR 2) to enforce a mold for the data to conform to MOTIVATION Relational databases are suffocatingly strict for the real world. Neo4j by itself may be too anarchic. A schema (whether "lenient/lax/loose" or "strict") in conjunction with Neo4j may be the needed compromise. GOAL To infuse into Neo4j functionality that some people turn to RDF for. However, carving out a new path rather than attempting to emulate RDF!
For general, high-level database-interaction operations. Used by the UI for Page Generation, as well as by the web API to produce data for the endpoints. This class does NOT get instantiated. The file also includes the class `DocumentationGenerator`: used to generate an HTML for a documentation page, from a python file (for best results, a file following some styling conventions as done in the BrainAnnex project)
Each registered plugin may opt to provide python methods for its specific needs.
Setup, routing and endpoints for all the web pages served by this module. Note that this class does not directly interact with the Neo4j database. SECTIONS: - UTILITY methods - For DEBUGGING - ROUTING: * SCHEMA-related (reading) * SCHEMA-related (creating) * CONTENT-ITEM MANAGEMENT VIEWING CONTENT ITEMS MODIFYING EXISTING CONTENT ITEMS * CATEGORY-RELATED (incl. adding new Content Items) POSITIONING WITHIN CATEGORIES * FILTERS * IMPORT-EXPORT (upload/download) * EXPERIMENTAL
Setup and routing for all the Flask-based web pages served by this module
HTML Flask templates for the various pages of the Brain-Annex provided site (including administrative pages and category-viewer pages)
For the various site pages
It starts up a server for web User Interface and an API Run this file, and then set the browser to http://localhost:5000/some_url (the actual port number is configurable; the URL's are specified in the various modules) IMPORTANT: first change the config.ini file as needed (for instructions, see the install page) Note: this main program may also be started from the CLI with the "flask run" command
The installation comes with a file of default configurations: config.defaults.ini This file needs to be duplicated, renamed config.ini , and personalized. For instructions, see the install page Data from this file can be accessed in other modules (such as main.py) by using: from configparser import ConfigParser
INITIALIZATION of various static classes
Router/generator for navigation pages: CSS static pages, and HTML pages that get included into other Flask files Setup, and routing, for all the web pages
Definition of the Navigation Bar entries for the overall site navigation (both Brain Annex and, possibly, co-hosted sites)
Library for Category-related operations. An entity to which a variety of nodes (e.g. representing records or media) is attached, with a positional attribute. Categories also have "subcategory" relationships with other categories. Contains the following groups of methods: 1. LOOKUP 2. UPDATE 3. POSITIONING WITHIN CATEGORIES
A generalization of Categories. An entity to which a variety of nodes (e.g. representing records or media) is attached, with a positional attribute.
Methods for Indexing and Searching
Utility class for managing images, especially in the context of uploads.
Helper library for the management of media files
A largely experimental library to deal with management and visualization of data nodes
Helper class to manage file uploads with Flask 1.1 (using Werkzeug 2.1)
General utilities for comparisons and pandas