Swarm Fix: [ENHANCEMENT] Scout-Risk: AI-Powered Cognitive Advisory Engine for Git-Hooks

FIX_PROPOSAL.md

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+**Scout-Risk: AI-Powered Cognitive Advisory Engine for Git-Hooks**
+
+To address the issue and implement the Scout-Risk engine, we will follow these steps:
+
+### Step 1: Set up the FastAPI application
+
+First, create a new FastAPI application to serve as the backbone for the Scout-Risk engine.
+```python
+# app.py
+from fastapi import FastAPI
+from fastapi.responses import JSONResponse
+from pydantic import BaseModel
+
+app = FastAPI()
+
+class GitDiff(BaseModel):
+    diff: str
+
+@app.post("/analyze")
+async def analyze(git_diff: GitDiff):
+    # TO DO: Implement Gemini 2.0 Flash analysis
+    return JSONResponse(content={"message": "Analysis in progress"}, status_code=202)
+```
+
+### Step 2: Integrate Gemini 2.0 Flash for logical analysis
+
+Next, integrate the Gemini 2.0 Flash AI model to perform logical analysis on the `git diffs`.
+```python
+# analysis.py
+import torch
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+class GeminiAnalyzer:
+    def __init__(self):
+        self.model = AutoModelForSequenceClassification.from_pretrained("gemini-2.0-flash")
+        self.tokenizer = AutoTokenizer.from_pretrained("gemini-2.0-flash")
+
+    def analyze(self, git_diff):
+        inputs = self.tokenizer(git_diff, return_tensors="pt")
+        outputs = self.model(**inputs)
+        logits = outputs.logits
+        return torch.argmax(logits)
+```
+
+### Step 3: Map risks to OWASP Cheat Sheets
+
+Create a function to dynamically scrape OWASP docs for fixes and map risks to the corresponding cheat sheets.
+```python
+# owasp_mapper.py
+import requests
+from bs4 import BeautifulSoup
+
+class OWASPMapper:
+    def __init__(self):
+        self.owasp_url = "https://cheatsheetseries.owasp.org/"
+
+    def map_risk(self, risk_id):
+        response = requests.get(self.owasp_url)
+        soup = BeautifulSoup(response.content, "html.parser")
+        # TO DO: Implement dynamic scraping and mapping logic
+        return {"risk_id": risk_id, "fix": "TO DO: Implement fix"}
+```
+
+### Step 4: Implement interactive setup and automated git-hook injector
+
+Create a function to automate the setup and injection of git-hooks.
+```python
+# setup.py
+import git
+
+class GitHookInjector:
+    def __init__(self):
+        self.repo = git.Repo()
+
+    def inject_hook(self):
+        # TO DO: Implement automated git-hook injection logic
+        return "TO DO: Implement hook injection"
+```
+
+### Step 5: Integrate the components and deploy the Scout-Risk engine
+
+Integrate the components and deploy the Scout-Risk engine as a GitHub application.
+```python
+# app.py (updated)
+from fastapi import FastAPI
+from fastapi.responses import JSONResponse
+from pydantic import BaseModel
+from analysis import GeminiAnalyzer
+from owasp_mapper import OWASPMapper
+from setup import GitHookInjector
+
+app = FastAPI()
+
+class GitDiff(BaseModel):
+    diff: str
+
+@app.post("/analyze")
+async def analyze(git_diff: GitDiff):
+    analyzer = GeminiAnalyzer()
+    risk_id = analyzer.analyze(git_diff.diff)
+    mapper = OWASPMapper()
+    risk_map = mapper.map_risk(risk_id)
+    return JSONResponse(content=risk_map, status_code=200)
+
+@app.post("/setup")
+async def setup():
+    injector = GitHookInjector()
+    hook_injected = injector.inject_hook()
+    return JSONResponse(content={"message": hook_injected}, status_code=200)
+```
+
+**Example Use Cases:**
+
+1. Analyze a `git diff` and receive a risk map:
+```bash
+curl -X POST \
+  http://localhost:8000/analyze \
+  -H 'Content-Type: application/json' \
+  -d '{"diff": "your_git_diff_here"}'
+```
+2. Set up and inject a git-hook:
+```bash
+curl -X POST \
+  http://localhost:8000/setup
+```
+
+**Commit Message:**
+`feat: Introduce Scout-Risk AI-Powered Cognitive Advisory Engine for Git-Hooks`
+
+**API Documentation:**
+
+* `POST /analyze`: Analyze a `git diff` and receive a risk map
+* `POST /setup`: Set up and inject a git-hook
+
+Note: This is a high-level implementation outline, and you will need to fill in the details and implement the logic for each component. Additionally, you may need to modify the code to fit your specific use case and requirements.