# ashmitsharma972/project_for_fun architecture

> Architecture diagram of the GitHub repository ashmitsharma972/project_for_fun, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-11-13). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/ashmitsharma972/project_for_fun
- Repository: https://github.com/ashmitsharma972/project_for_fun

## Overview

IncidentMind is an incident-response assistant: alerts enter through FastAPI, are classified and persisted, then engineers can request evidence-grounded root-cause recommendations and submit verified feedback. Recommendations are advisory; approval only records simulated approval, not recovery execution. SQLite stores incident and feedback records, while the official Hindsight service is the intended persistent memory layer and Groq is optional. The README also describes dashboard, learning, reflection, replay, anti-runbook, and risk/chaos capabilities. Those latter modules are represented from the tree and documentation; their internal calls were not sampled, so uncertain links are omitted.

Main entry points: [`backend/api.py`](https://github.com/ashmitsharma972/project_for_fun/blob/main/backend/api.py) (FastAPI routes), [`hindsight_memory/hindsight_client.py`](https://github.com/ashmitsharma972/project_for_fun/blob/main/hindsight_memory/hindsight_client.py) (Hindsight adapter), [`agent/root_cause_analyzer.py`](https://github.com/ashmitsharma972/project_for_fun/blob/main/agent/root_cause_analyzer.py) (Root-cause analyzer), [`incident_processing/incident_detector.py`](https://github.com/ashmitsharma972/project_for_fun/blob/main/incident_processing/incident_detector.py) (Incident detector)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_ingress["API and ingestion"]
  node_api["FastAPI routes<br/>[api.py]"]
  node_detector["Incident detector"]
  node_classifier["Incident classifier"]
  node_loganalysis["Log analyzer<br/>[log_analyzer.py]"]
  node_sqlite[("Incident database<br/>[database.py]")]
end

subgraph group_analysis["Incident analysis"]
  node_analyzer["Root-cause analyzer"]
  node_runbook["Runbook recommender"]
  node_groq["Groq language model<br/>[groq_llm.py]"]
  node_runbooks["Runbook content"]
end

subgraph group_memory["Memory and learning"]
  node_memoryadapter["Hindsight adapter"]
  node_incidentmodels["Incident and evidence models<br/>[models.py]"]
  node_hindsight[("Hindsight service")]
end

subgraph group_experience["Learning and experiments"]
  node_feedback["Feedback processor"]
  node_outcomes["Outcome statistics<br/>[outcome_stats.py]"]
  node_reflection["Reflect insights"]
  node_replay["Replay Lab<br/>[replay_lab.py]"]
  node_antirunbooks["Anti-runbook warnings<br/>[anti_runbooks.py]"]
  node_staleness["Staleness and conflicts<br/>[staleness.py]"]
  node_deployrisk["Deploy risk<br/>[deploy_risk.py]"]
  node_chaos["Chaos Dojo<br/>[chaos_dojo.py]"]
end

subgraph group_ui["Engineer interface"]
  node_dashboard["Streamlit dashboard<br/>[dashboard.py]"]
end

node_engineer(("Engineer"))
node_alerts(("Alert source"))

node_alerts -->|"submit alerts"| node_api
node_engineer -->|"request analysis"| node_api
node_api -->|"detect incident"| node_detector
node_detector -->|"classify alert"| node_classifier
node_detector -->|"analyze logs"| node_loganalysis
node_api -->|"persist and read"| node_sqlite
node_api -->|"request analysis"| node_analyzer
node_analyzer -->|"recall evidence"| node_memoryadapter
node_analyzer -->|"recommend steps"| node_runbook
node_analyzer -.->|"request completion"| node_groq
node_runbook -.->|"select guidance"| node_runbooks
node_memoryadapter -->|"retain, recall, reflect"| node_hindsight
node_memoryadapter -->|"translate records"| node_incidentmodels
node_api -->|"process feedback"| node_feedback
node_feedback -->|"store feedback"| node_sqlite
node_feedback -.->|"retain verified outcome"| node_memoryadapter
node_api -->|"fetch statistics"| node_outcomes
node_api -->|"serve API data"| node_dashboard
node_engineer -->|"view evidence"| node_dashboard
node_reflection -.->|"use reflection"| node_memoryadapter
node_replay -.->|"compare memory modes"| node_memoryadapter
node_antirunbooks -.->|"use retained outcomes"| node_memoryadapter
node_staleness -.->|"check memory evidence"| node_memoryadapter
node_deployrisk -.->|"consult incident memory"| node_memoryadapter
node_chaos -.->|"exercise incident flow"| node_api

click node_api "https://github.com/ashmitsharma972/project_for_fun/blob/main/backend/api.py"
click node_detector "https://github.com/ashmitsharma972/project_for_fun/blob/main/incident_processing/incident_detector.py"
click node_classifier "https://github.com/ashmitsharma972/project_for_fun/blob/main/incident_processing/incident_classifier.py"
click node_loganalysis "https://github.com/ashmitsharma972/project_for_fun/blob/main/incident_processing/log_analyzer.py"
click node_sqlite "https://github.com/ashmitsharma972/project_for_fun/blob/main/backend/database.py"
click node_analyzer "https://github.com/ashmitsharma972/project_for_fun/blob/main/agent/root_cause_analyzer.py"
click node_runbook "https://github.com/ashmitsharma972/project_for_fun/blob/main/agent/runbook_recommender.py"
click node_groq "https://github.com/ashmitsharma972/project_for_fun/blob/main/agent/groq_llm.py"
click node_runbooks "https://github.com/ashmitsharma972/project_for_fun/tree/main/runbooks"
click node_memoryadapter "https://github.com/ashmitsharma972/project_for_fun/blob/main/hindsight_memory/hindsight_client.py"
click node_incidentmodels "https://github.com/ashmitsharma972/project_for_fun/blob/main/hindsight_memory/models.py"
click node_feedback "https://github.com/ashmitsharma972/project_for_fun/blob/main/learning/feedback_processor.py"
click node_outcomes "https://github.com/ashmitsharma972/project_for_fun/blob/main/learning/outcome_stats.py"
click node_reflection "https://github.com/ashmitsharma972/project_for_fun/blob/main/innovation/reflect_insights.py"
click node_replay "https://github.com/ashmitsharma972/project_for_fun/blob/main/innovation/replay_lab.py"
click node_antirunbooks "https://github.com/ashmitsharma972/project_for_fun/blob/main/innovation/anti_runbooks.py"
click node_staleness "https://github.com/ashmitsharma972/project_for_fun/blob/main/innovation/staleness.py"
click node_deployrisk "https://github.com/ashmitsharma972/project_for_fun/blob/main/innovation/deploy_risk.py"
click node_chaos "https://github.com/ashmitsharma972/project_for_fun/blob/main/innovation/chaos_dojo.py"
click node_dashboard "https://github.com/ashmitsharma972/project_for_fun/blob/main/frontend/dashboard.py"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_api,node_detector,node_classifier,node_loganalysis,node_sqlite toneBlue
class node_analyzer,node_runbook,node_groq,node_runbooks toneAmber
class node_memoryadapter,node_incidentmodels,node_hindsight toneMint
class node_feedback,node_outcomes,node_reflection,node_replay,node_antirunbooks,node_staleness,node_deployrisk,node_chaos toneRose
class node_dashboard,node_engineer,node_alerts toneIndigo
```

## Components

### API and ingestion

- [FastAPI routes](https://github.com/ashmitsharma972/project_for_fun/blob/main/backend/api.py): `backend/api.py`
- [Incident detector](https://github.com/ashmitsharma972/project_for_fun/blob/main/incident_processing/incident_detector.py): `incident_processing/incident_detector.py`
- [Incident classifier](https://github.com/ashmitsharma972/project_for_fun/blob/main/incident_processing/incident_classifier.py): `incident_processing/incident_classifier.py`
- [Log analyzer](https://github.com/ashmitsharma972/project_for_fun/blob/main/incident_processing/log_analyzer.py): `incident_processing/log_analyzer.py`
- [Incident database](https://github.com/ashmitsharma972/project_for_fun/blob/main/backend/database.py): `backend/database.py`

### Incident analysis

- [Root-cause analyzer](https://github.com/ashmitsharma972/project_for_fun/blob/main/agent/root_cause_analyzer.py): `agent/root_cause_analyzer.py`
- [Runbook recommender](https://github.com/ashmitsharma972/project_for_fun/blob/main/agent/runbook_recommender.py): `agent/runbook_recommender.py`
- [Groq language model](https://github.com/ashmitsharma972/project_for_fun/blob/main/agent/groq_llm.py): `agent/groq_llm.py`
- [Runbook content](https://github.com/ashmitsharma972/project_for_fun/tree/main/runbooks): `runbooks`

### Memory and learning

- [Hindsight adapter](https://github.com/ashmitsharma972/project_for_fun/blob/main/hindsight_memory/hindsight_client.py): `hindsight_memory/hindsight_client.py`
- [Incident and evidence models](https://github.com/ashmitsharma972/project_for_fun/blob/main/hindsight_memory/models.py): `hindsight_memory/models.py`
- **Hindsight service**

### Learning and experiments

- [Feedback processor](https://github.com/ashmitsharma972/project_for_fun/blob/main/learning/feedback_processor.py): `learning/feedback_processor.py`
- [Outcome statistics](https://github.com/ashmitsharma972/project_for_fun/blob/main/learning/outcome_stats.py): `learning/outcome_stats.py`
- [Reflect insights](https://github.com/ashmitsharma972/project_for_fun/blob/main/innovation/reflect_insights.py): `innovation/reflect_insights.py`
- [Replay Lab](https://github.com/ashmitsharma972/project_for_fun/blob/main/innovation/replay_lab.py): `innovation/replay_lab.py`
- [Anti-runbook warnings](https://github.com/ashmitsharma972/project_for_fun/blob/main/innovation/anti_runbooks.py): `innovation/anti_runbooks.py`
- [Staleness and conflicts](https://github.com/ashmitsharma972/project_for_fun/blob/main/innovation/staleness.py): `innovation/staleness.py`
- [Deploy risk](https://github.com/ashmitsharma972/project_for_fun/blob/main/innovation/deploy_risk.py): `innovation/deploy_risk.py`
- [Chaos Dojo](https://github.com/ashmitsharma972/project_for_fun/blob/main/innovation/chaos_dojo.py): `innovation/chaos_dojo.py`

### Engineer interface

- [Streamlit dashboard](https://github.com/ashmitsharma972/project_for_fun/blob/main/frontend/dashboard.py): `frontend/dashboard.py`

### Other components

- **Engineer**
- **Alert source**

## Connections

- Alert source → FastAPI routes: submit alerts (evidence: `README.md`)
- Engineer → FastAPI routes: request analysis (evidence: `backend/api.py`)
- FastAPI routes → Incident detector: detect incident (evidence: `backend/api.py`)
- Incident detector → Incident classifier: classify alert (evidence: `incident_processing/incident_detector.py`)
- Incident detector → Log analyzer: analyze logs (evidence: `incident_processing/incident_detector.py`)
- FastAPI routes → Incident database: persist and read (evidence: `backend/api.py`)
- FastAPI routes → Root-cause analyzer: request analysis (evidence: `backend/api.py`)
- Root-cause analyzer → Hindsight adapter: recall evidence (evidence: `agent/root_cause_analyzer.py`)
- Root-cause analyzer → Runbook recommender: recommend steps (evidence: `agent/root_cause_analyzer.py`)
- Root-cause analyzer → Groq language model: request completion (evidence: `backend/api.py`)
- Runbook recommender → Runbook content: select guidance
- Hindsight adapter → Hindsight service: retain, recall, reflect (evidence: `hindsight_memory/hindsight_client.py`)
- Hindsight adapter → Incident and evidence models: translate records (evidence: `hindsight_memory/hindsight_client.py`)
- FastAPI routes → Feedback processor: process feedback (evidence: `backend/api.py`)
- Feedback processor → Incident database: store feedback (evidence: `learning/feedback_processor.py`)
- Feedback processor → Hindsight adapter: retain verified outcome (evidence: `README.md`)
- FastAPI routes → Outcome statistics: fetch statistics (evidence: `backend/api.py`)
- FastAPI routes → Streamlit dashboard: serve API data (evidence: `README.md`)
- Engineer → Streamlit dashboard: view evidence (evidence: `README.md`)
- Reflect insights → Hindsight adapter: use reflection (evidence: `innovation/reflect_insights.py`)
- Replay Lab → Hindsight adapter: compare memory modes (evidence: `README.md`)
- Anti-runbook warnings → Hindsight adapter: use retained outcomes (evidence: `README.md`)
- Staleness and conflicts → Hindsight adapter: check memory evidence
- Deploy risk → Hindsight adapter: consult incident memory (evidence: `innovation/deploy_risk.py`)
- Chaos Dojo → FastAPI routes: exercise incident flow