This commit introduces a comprehensive, template-based analysis orchestration system, refactoring the entire analysis generation workflow from the ground up.
Key Changes:
1. **Backend Architecture (`report-generator-service`):**
* Replaced the naive analysis workflow with a robust orchestrator based on a Directed Acyclic Graph (DAG) of module dependencies.
* Implemented a full topological sort (`petgraph`) to determine the correct execution order and detect circular dependencies.
2. **Data Models (`common-contracts`, `data-persistence-service`):**
* Introduced the concept of `AnalysisTemplateSets` to allow for multiple, independent, and configurable analysis workflows.
* Created a new `analysis_results` table to persist the output of each module for every analysis run, ensuring traceability.
* Implemented a file-free data seeding mechanism to populate default analysis templates on service startup.
3. **API Layer (`api-gateway`):**
* Added a new asynchronous endpoint (`POST /analysis-requests/{symbol}`) to trigger analysis workflows via NATS messages.
* Updated all configuration endpoints to support the new `AnalysisTemplateSets` model.
4. **Frontend UI (`/config`, `/query`):**
* Completely refactored the "Analysis Config" page into a two-level management UI for "Template Sets" and the "Modules" within them, supporting full CRUD operations.
* Updated the "Query" page to allow users to select which analysis template to use when generating a report.
This new architecture provides a powerful, flexible, and robust foundation for all future development of our intelligent analysis capabilities.
94 lines
2.1 KiB
Rust
94 lines
2.1 KiB
Rust
use chrono::NaiveDate;
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use service_kit::api_dto;
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use serde_json::Value as JsonValue;
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use uuid::Uuid;
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// Companies API DTOs
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#[api_dto]
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pub struct CompanyProfileDto {
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pub symbol: String,
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pub name: String,
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pub industry: Option<String>,
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pub list_date: Option<NaiveDate>,
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pub additional_info: Option<JsonValue>,
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}
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// Market Data API DTOs
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#[api_dto]
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pub struct TimeSeriesFinancialDto {
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pub symbol: String,
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pub metric_name: String,
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pub period_date: NaiveDate,
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pub value: f64,
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pub source: Option<String>,
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}
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#[api_dto]
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pub struct DailyMarketDataDto {
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pub symbol: String,
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pub trade_date: NaiveDate,
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pub open_price: Option<f64>,
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pub high_price: Option<f64>,
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pub low_price: Option<f64>,
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pub close_price: Option<f64>,
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pub volume: Option<i64>,
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pub pe: Option<f64>,
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pub pb: Option<f64>,
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pub total_mv: Option<f64>,
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}
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// Batch DTOs
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#[api_dto]
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pub struct TimeSeriesFinancialBatchDto {
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pub records: Vec<TimeSeriesFinancialDto>,
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}
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#[api_dto]
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pub struct DailyMarketDataBatchDto {
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pub records: Vec<DailyMarketDataDto>,
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}
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// Analysis Results API DTOs (NEW)
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#[api_dto]
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pub struct NewAnalysisResult {
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pub request_id: Uuid,
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pub symbol: String,
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pub template_id: String,
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pub module_id: String,
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pub content: String,
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pub meta_data: JsonValue,
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}
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/// Represents a persisted analysis result read from the database.
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#[api_dto]
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pub struct AnalysisResultDto {
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pub id: i64,
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pub request_id: Uuid,
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pub symbol: String,
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pub template_id: String,
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pub module_id: String,
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pub content: String,
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pub meta_data: JsonValue,
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pub created_at: chrono::DateTime<chrono::Utc>,
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}
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// Realtime Quotes DTOs
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#[api_dto]
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pub struct RealtimeQuoteDto {
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pub symbol: String,
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pub market: String,
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pub ts: chrono::DateTime<chrono::Utc>,
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pub price: f64,
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pub open_price: Option<f64>,
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pub high_price: Option<f64>,
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pub low_price: Option<f64>,
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pub prev_close: Option<f64>,
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pub change: Option<f64>,
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pub change_percent: Option<f64>,
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pub volume: Option<i64>,
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pub source: Option<String>,
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}
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