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9159c06 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | """Analyzer for FastAPI and backend web-service code."""
from __future__ import annotations
from typing import Any, Dict
from schemas.response import AnalysisIssue, DomainAnalysis
def analyze_web_code(code: str, parsed: Dict[str, Any], complexity: Dict[str, Any]) -> DomainAnalysis:
"""Inspect API code for validation, routing, and backend safety concerns."""
issues = []
suggestions = []
score = 0.76
route_decorators = set(parsed.get("route_decorators", []))
if route_decorators and not parsed.get("uses_pydantic"):
issues.append(
AnalysisIssue(
title="Request validation model is missing",
severity="high",
description="Route handlers appear present, but no obvious Pydantic validation layer was detected.",
)
)
suggestions.append("Add Pydantic request and response models for strict validation and type-safe contracts.")
score -= 0.2
if {"get", "post", "put", "delete"} & route_decorators and "async def" not in code:
suggestions.append("Prefer async FastAPI endpoints when the route performs I/O or awaits downstream services.")
score -= 0.08
if "request.json()" in code or "request.body()" in code:
suggestions.append("Validate raw request payloads before use; avoid trusting unchecked JSON input.")
score -= 0.08
if not suggestions:
suggestions.append("Add domain-specific response models and centralize dependency injection for cleaner API structure.")
return DomainAnalysis(
domain="web",
domain_score=max(0.05, round(score, 4)),
issues=issues,
suggestions=suggestions,
highlights={
"route_count": float(len(route_decorators)),
"uses_validation": float(parsed.get("uses_pydantic", False)),
"time_complexity": complexity["time_complexity"],
},
)
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