Update Dagger docs, triggers and baseline

Author: fayedraza

.github/workflows/dagger-fraud-sim.yml

@@ -3,6 +3,9 @@ name: Dagger Fraud Simulation
 on:
   push:
     branches: [ main ]
+    paths:
+      - 'auth_platform/**'
+      - 'mcp_server/**'
   workflow_dispatch:
 
 permissions:

.secrets.baseline

@@ -297,6 +297,15 @@
         "line_number": 45
       }
     ],
+    "dagger/README.md": [
+      {
+        "type": "Secret Keyword",
+        "filename": "dagger/README.md",
+        "hashed_secret": "a3e14ca24483c78554c083bc907c7194c7846ef1",
+        "is_verified": false,
+        "line_number": 37
+      }
+    ],
     "mcp_server/BAML_INTEGRATION.md": [
       {
         "type": "Secret Keyword",
@@ -357,5 +366,5 @@
       }
     ]
   },
-  "generated_at": "2026-01-03T06:46:05Z"
+  "generated_at": "2026-01-03T20:44:59Z"
 }

dagger/README.md

@@ -0,0 +1,61 @@
+# Dagger Fraud Simulation Workflow
+
+This directory contains the [Dagger](https://dagger.io) module for the Fraud Simulation and AI Analysis pipeline.
+
+## Purpose
+
+The Dagger Workflow Pipeline automates the end-to-end fraud detection simulation:
+1.  **Generation**: Spawns mock user accounts and login login events.
+2.  **Simulation**: Processes logs through rule-based and AI-powered detections (Gemini & Groq).
+3.  **Aggregation**: Summarizes results with per-account fraud scores and alerts.
+4.  **AI Insights**: Analyzes the final summary report using Dagger's AI Agent to provide high-level insights and patterns.
+
+Using Dagger ensures this pipeline runs consistently across local development and GitHub Actions by encapsulating the environment in containers.
+
+## Local Usage
+
+### 1. View Available Functions
+
+To see the available functions and their documentation:
+
+```bash
+dagger functions
+```
+
+Or for detailed help on a specific function:
+
+```bash
+dagger call run-fraud-sim --help
+```
+
+### 2. Run Fraud Simulation
+
+To run the full simulation and export the results to a local file:
+
+```bash
+# Ensure your API keys are set as environment variables
+export GEMINI_API_KEY="your_key_here"
+export GROQ_API_KEY="your_key_here"
+
+dagger call run-fraud-sim \
+  --source . \
+  --gemini-api-key env:GEMINI_API_KEY \
+  --groq-api-key env:GROQ_API_KEY \
+  export --path results/summary.json
+```
+
+**Note:** `env:GEMINI_API_KEY` tells Dagger to read the value from your host's environment variable and pass it securely as a secret.
+
+### 3. Run AI Result Analysis
+
+To generate AI insights from an existing summary report:
+
+```bash
+dagger call analyze-results --summary results/summary.json > results/insights.txt
+```
+
+This command uses the `analyze_results` function which leverages Dagger's built-in LLM capabilities to review the summary and suggest remediations.
+
+## Automated Execution (CI)
+
+This module is triggered automatically via GitHub Actions in [.github/workflows/dagger-fraud-sim.yml](file:///Users/fayedraza/Authenication%20Service/.github/workflows/dagger-fraud-sim.yml) whenever the main CI pipeline completes successfully.