tftsr-devops_investigation/src-tauri/src/state.rs

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feat: initial implementation of TFTSR IT Triage & RCA application Implements Phases 1-8 of the TFTSR implementation plan. Rust backend (Tauri 2.x, src-tauri/): - Multi-provider AI: OpenAI-compatible, Anthropic, Gemini, Mistral, Ollama - PII detection engine: 11 regex patterns with overlap resolution - SQLCipher AES-256 encrypted database with 10 versioned migrations - 28 Tauri IPC commands for triage, analysis, document, and system ops - Ollama: hardware probe, model recommendations, pull/delete with events - RCA and blameless post-mortem Markdown document generators - PDF export via printpdf - Audit log: SHA-256 hash of every external data send - Integration stubs for Confluence, ServiceNow, Azure DevOps (v0.2) Frontend (React 18 + TypeScript + Vite, src/): - 9 pages: full triage workflow NewIssue→LogUpload→Triage→Resolution→RCA→Postmortem→History+Settings - 7 components: ChatWindow, TriageProgress, PiiDiffViewer, DocEditor, HardwareReport, ModelSelector, UI primitives - 3 Zustand stores: session, settings (persisted), history - Type-safe tauriCommands.ts matching Rust backend types exactly - 8 IT domain system prompts (Linux, Windows, Network, K8s, DB, Virt, HW, Obs) DevOps: - .woodpecker/test.yml: rustfmt, clippy, cargo test, tsc, vitest on every push - .woodpecker/release.yml: linux/amd64 + linux/arm64 builds, Gogs release upload Verified: - cargo check: zero errors - tsc --noEmit: zero errors - vitest run: 13/13 unit tests passing Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
2026-03-15 03:36:25 +00:00
use serde::{Deserialize, Serialize};
use std::path::PathBuf;
use std::sync::{Arc, Mutex};
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ProviderConfig {
pub name: String,
#[serde(default)]
pub provider_type: String,
feat: initial implementation of TFTSR IT Triage & RCA application Implements Phases 1-8 of the TFTSR implementation plan. Rust backend (Tauri 2.x, src-tauri/): - Multi-provider AI: OpenAI-compatible, Anthropic, Gemini, Mistral, Ollama - PII detection engine: 11 regex patterns with overlap resolution - SQLCipher AES-256 encrypted database with 10 versioned migrations - 28 Tauri IPC commands for triage, analysis, document, and system ops - Ollama: hardware probe, model recommendations, pull/delete with events - RCA and blameless post-mortem Markdown document generators - PDF export via printpdf - Audit log: SHA-256 hash of every external data send - Integration stubs for Confluence, ServiceNow, Azure DevOps (v0.2) Frontend (React 18 + TypeScript + Vite, src/): - 9 pages: full triage workflow NewIssue→LogUpload→Triage→Resolution→RCA→Postmortem→History+Settings - 7 components: ChatWindow, TriageProgress, PiiDiffViewer, DocEditor, HardwareReport, ModelSelector, UI primitives - 3 Zustand stores: session, settings (persisted), history - Type-safe tauriCommands.ts matching Rust backend types exactly - 8 IT domain system prompts (Linux, Windows, Network, K8s, DB, Virt, HW, Obs) DevOps: - .woodpecker/test.yml: rustfmt, clippy, cargo test, tsc, vitest on every push - .woodpecker/release.yml: linux/amd64 + linux/arm64 builds, Gogs release upload Verified: - cargo check: zero errors - tsc --noEmit: zero errors - vitest run: 13/13 unit tests passing Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
2026-03-15 03:36:25 +00:00
pub api_url: String,
pub api_key: String,
pub model: String,
/// Optional: Custom endpoint path (e.g., "" for no path, "/v1/chat" for custom path)
/// If None, defaults to "/chat/completions" for OpenAI compatibility
#[serde(skip_serializing_if = "Option::is_none")]
pub custom_endpoint_path: Option<String>,
/// Optional: Custom auth header name (e.g., "x-msi-genai-api-key")
/// If None, defaults to "Authorization"
#[serde(skip_serializing_if = "Option::is_none")]
pub custom_auth_header: Option<String>,
/// Optional: Custom auth value prefix (e.g., "" for no prefix, "Bearer " for OpenAI)
/// If None, defaults to "Bearer "
#[serde(skip_serializing_if = "Option::is_none")]
pub custom_auth_prefix: Option<String>,
/// Optional: API format ("openai" or "msi_genai")
/// If None, defaults to "openai"
#[serde(skip_serializing_if = "Option::is_none")]
pub api_format: Option<String>,
/// Optional: Session ID for stateful APIs like MSI GenAI
#[serde(skip_serializing_if = "Option::is_none")]
pub session_id: Option<String>,
/// Optional: User ID for MSI GenAI (CORE ID email)
#[serde(skip_serializing_if = "Option::is_none")]
pub user_id: Option<String>,
feat: initial implementation of TFTSR IT Triage & RCA application Implements Phases 1-8 of the TFTSR implementation plan. Rust backend (Tauri 2.x, src-tauri/): - Multi-provider AI: OpenAI-compatible, Anthropic, Gemini, Mistral, Ollama - PII detection engine: 11 regex patterns with overlap resolution - SQLCipher AES-256 encrypted database with 10 versioned migrations - 28 Tauri IPC commands for triage, analysis, document, and system ops - Ollama: hardware probe, model recommendations, pull/delete with events - RCA and blameless post-mortem Markdown document generators - PDF export via printpdf - Audit log: SHA-256 hash of every external data send - Integration stubs for Confluence, ServiceNow, Azure DevOps (v0.2) Frontend (React 18 + TypeScript + Vite, src/): - 9 pages: full triage workflow NewIssue→LogUpload→Triage→Resolution→RCA→Postmortem→History+Settings - 7 components: ChatWindow, TriageProgress, PiiDiffViewer, DocEditor, HardwareReport, ModelSelector, UI primitives - 3 Zustand stores: session, settings (persisted), history - Type-safe tauriCommands.ts matching Rust backend types exactly - 8 IT domain system prompts (Linux, Windows, Network, K8s, DB, Virt, HW, Obs) DevOps: - .woodpecker/test.yml: rustfmt, clippy, cargo test, tsc, vitest on every push - .woodpecker/release.yml: linux/amd64 + linux/arm64 builds, Gogs release upload Verified: - cargo check: zero errors - tsc --noEmit: zero errors - vitest run: 13/13 unit tests passing Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
2026-03-15 03:36:25 +00:00
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AppSettings {
pub theme: String,
pub ai_providers: Vec<ProviderConfig>,
pub active_provider: Option<String>,
pub default_provider: String,
pub default_model: String,
pub ollama_url: String,
}
impl Default for AppSettings {
fn default() -> Self {
AppSettings {
theme: "dark".to_string(),
ai_providers: vec![],
active_provider: None,
default_provider: "ollama".to_string(),
default_model: "llama3.2:3b".to_string(),
ollama_url: "http://localhost:11434".to_string(),
}
}
}
pub struct AppState {
pub db: Arc<Mutex<rusqlite::Connection>>,
pub settings: Arc<Mutex<AppSettings>>,
pub app_data_dir: PathBuf,
}