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### 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.
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