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refactoring: ingress_analyser and cleaning
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81
src/analysis/ingress/prompt.rs
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81
src/analysis/ingress/prompt.rs
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use serde_json::{json, Value};
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pub static INGRESS_ANALYSIS_SYSTEM_MESSAGE: &str = r#"
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You are an expert document analyzer. You will receive a document's text content, along with user instructions and a category. Your task is to provide a structured JSON object representing the content in a graph format suitable for a graph database. You will also be presented with some existing knowledge_entities from the database, do not replicate these!
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The JSON should have the following structure:
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{
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"knowledge_entities": [
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{
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"key": "unique-key-1",
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"name": "Entity Name",
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"description": "A detailed description of the entity.",
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"entity_type": "TypeOfEntity"
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},
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// More entities...
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],
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"relationships": [
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{
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"type": "RelationshipType",
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"source": "unique-key-1 or UUID from existing database",
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"target": "unique-key-1 or UUID from existing database"
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},
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// More relationships...
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]
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}
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Guidelines:
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1. Do NOT generate any IDs or UUIDs. Use a unique `key` for each knowledge entity.
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2. Each KnowledgeEntity should have a unique `key`, a meaningful `name`, and a descriptive `description`.
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3. Define the type of each KnowledgeEntity using the following categories: Idea, Project, Document, Page, TextSnippet.
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4. Establish relationships between entities using types like RelatedTo, RelevantTo, SimilarTo.
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5. Use the `source` key to indicate the originating entity and the `target` key to indicate the related entity"
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6. You will be presented with a few existing KnowledgeEntities that are similar to the current ones. They will have an existing UUID. When creating relationships to these entities, use their UUID.
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7. Only create relationships between existing KnowledgeEntities.
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8. Entities that exist already in the database should NOT be created again. If there is only a minor overlap, skip creating a new entity.
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9. A new relationship MUST include a newly created KnowledgeEntity.
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"#;
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pub fn get_ingress_analysis_schema() -> Value {
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json!({
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"type": "object",
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"properties": {
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"knowledge_entities": {
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"type": "array",
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"items": {
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"type": "object",
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"properties": {
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"key": { "type": "string" },
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"name": { "type": "string" },
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"description": { "type": "string" },
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"entity_type": {
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"type": "string",
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"enum": ["idea", "project", "document", "page", "textsnippet"]
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}
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},
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"required": ["key", "name", "description", "entity_type"],
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"additionalProperties": false
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}
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},
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"relationships": {
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"type": "array",
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"items": {
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"type": "object",
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"properties": {
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"type": {
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"type": "string",
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"enum": ["RelatedTo", "RelevantTo", "SimilarTo"]
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},
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"source": { "type": "string" },
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"target": { "type": "string" }
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},
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"required": ["type", "source", "target"],
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"additionalProperties": false
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}
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}
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},
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"required": ["knowledge_entities", "relationships"],
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"additionalProperties": false
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})
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}
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