### Overall Command Structure and Unified Syntax Your approach with commands like `create-node`, `get-node`, `set-domain`, and `create-relationship` provides an intuitive way to interact with nodes and relationships. Here’s how we can refine the logic for each main command: - **Unified Noun-Verb Syntax**: Stick to a base format of `verb-object` for each action, such as `get-node.attribute` or `set-domain`. - **Command Parameter Consistency**: Each command should support common parameters like `-node_id`, `-domain`, and `-attributes` so that commands remain consistent and predictable. - **Support for AGDB and AGN Differentiation**: Use a switch or metadata property to distinguish between AGDB (structured data storage) and AGN (relationship-based network). ### Core Commands and Their Implementation Let's go through the main commands, refining and validating logic based on what you provided: 1. **Graph Commands (`create-graph`, `load-graph`, `build-graph`)** - **Purpose**: Initialize, load, and build graph structures from files or in-memory storage. - **Refinements**: - **`create-graph`**: Set up initial metadata and store it in a JSON schema format if needed. - **`load-graph`**: Import data from JSON or CSV; use `networkx` for in-memory representation. - **`build-graph`**: Construct relationships between nodes based on policies in AGN or AGDB. 2. **Node Commands (`create-node`, `get-node`, `set-attribute`)** - **Purpose**: Add, retrieve, and modify nodes within the graph. - **Refinements**: - **`create-node`**: Ensure `node_id`, `node_type`, and `attributes` are set based on input and stored in memory or AGDB. - **`get-node`**: Retrieve node details, with optional filtering by attribute or domain. - **`set-attribute`**: Allow attribute updates on nodes with a syntax like `set-attribute -node_id node_001 -attribute open:1.15`. 3. **Relationship Commands (`create-relationship`, `get-relationship`, `set-edge`)** - **Purpose**: Define, retrieve, and modify relationships between nodes. - **Refinements**: - **`create-relationship`**: Define the type of relationship (e.g., temporal, causal) and link nodes. - **`get-relationship`**: Retrieve relationships with filters for direction and relationship type. - **`set-edge`**: Adjust properties of an existing edge, such as weight or relationship type. 4. **Domain and Policy Commands (`set-domain`, `get-domain`, `set-AGN`, `get-AGN`)** - **Purpose**: Set and retrieve domain-based or policy-based contextual layers within AGN or AGDB. - **Refinements**: - **`set-domain`**: Assign domains to nodes or graphs to contextualize relationships. - **`get-domain`**: Retrieve domain data to help understand node contexts. - **`set-AGN`**: Define relational policies like inference rules, weights, and thresholds. - **`get-AGN`**: Retrieve policies for nodes, relationships, and other features within AGNs. --- ### Detailed Command Logic and Functionality 1. **`create-node`** - **Logic**: - Check for `node_type` existence in storage. - Create a new node under a category or domain if it does not exist. - Store in `_node_storage` with relevant metadata (type, domain, attributes). - **Additions**: - Include `metadata` and `domain` properties for better organization. - Support for optional initial relationships. 2. **`get-nodeinfo` and `get-node`** - **Logic**: - Retrieve node details and allow for filtering by attributes, domain, and relationships. - Enable conditional querying (e.g., `get-node.attribute`). - **Additions**: - Support for optional in-depth traversal based on relationships. - Integration with networkx to leverage its traversal and neighborhood functionalities. 3. **`list-hierarchy`** - **Logic**: - Support directional traversal (up or down) for both AGNs and AGDBs. - Traverse nodes based on direct relationships, optionally limited by depth. - **Additions**: - For time series, build temporal hierarchies and support traversal based on temporal nodes. - Include node properties in traversal results for more context. 4. **`load-graph` and `build-graph`** - **Logic**: - `load-graph` imports data and prepares node relationships in a JSON structure. - `build-graph` takes the data and applies relationships, using networkx to build memory-optimized graphs. - **Additions**: - Different modes: direct load for networkx, CSV parsing for bulk data import, or in-memory only for smaller graphs. - If integrating with networkx, leverage the ability to add edges directly with attributes. 5. **`update-graphindex`** - **Logic**: - Updates the index based on AGN policies or AGDB schema. - Example: If a new node is created in an AGDB, update relationships accordingly. - **Additions**: - Implement schema validation and indexing checks to ensure alignment with AGN/AGDB standards. --- ### Revised JSON Template for AGDB/AGN Integration Here's a refined JSON template based on your requirements, adding metadata, domains, and predefined relationships. ```json { "metadata": { "title": "Time Series AGDB for Trading", "source": "AGT Platform", "description": "A time series AGDB with pre-defined temporal and synthetic relationships.", "created_at": "2024-11-04", "timezone": "UTC" }, "domains": { "TradingData": { "description": "Domain for financial trading data", "nodes": ["TimeSeriesNode", "FeatureNode"], "relationships": ["temporal_sequence", "influences"] } }, "nodes": [ { "node_id": "node_001", "type": "TimeSeriesNode", "domain": "TradingData", "attributes": { "timestamp": "2024-11-04T10:45:00Z", "open": 1.12, "close": 1.15, "high": 1.17, "low": 1.10, "volume": 50000 }, "relationships": { "next": "node_002", "previous": "node_000", "related_features": ["open", "close"] } } ], "relationships": [ { "source": "node_001", "target": "node_002", "type": "temporal_sequence", "attributes": { "weight": 0.8, "policy": "temporal_navigation" } } ], "policies": { "AGN": { "trading_inference": { "rules": { "time_series_trend": { "relationship": "temporal_sequence", "weight_threshold": 0.5 }, "volatility_correlation": { "attributes": ["high", "low"], "relationship": "correlates_with", "weight_threshold": 0.3 } } } } } } ``` --- ### Next Steps for Code Refactoring 1. **Refactor `agn_service` to Use Command Abstraction** - Implement command-specific handler functions that call the appropriate service logic (e.g., `get_node`, `set_attribute`). 2. **Create Command Parser and Routing Logic** - Create a parser to map incoming commands to the relevant functions (e.g., `create-node` routes to `create_node`). 3. **Enhance `load-graph` for Flexibility** - Support flexible loading mechanisms: direct file load, networkx conversion, and CSV import. 4. **Unified Query Handler for Consistency** - Implement a `query_handler` that interprets commands and retrieves or manipulates data based on the syntax defined.