cryptorugmunch
9db3f26f95
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- AST-extract all remaining routes from api.py into routers/*.py - Group routes by OpenAPI tag (AI, Advanced, Agency, ..., x402) - Keep existing auth/health/scraping/templates routers; add *_api.py for remaining routes of those tags - Move shared helpers/models/variables with the routes that need them - Update tests/test_api.py to import vision helpers from routers.vision - Regenerate openapi.json (186 paths) - All 497 tests pass; ruff clean
64 lines
2 KiB
Python
64 lines
2 KiB
Python
"""Pry — SEO router (remaining api.py routes).
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Auto-extracted from api.py during the router-split refactor.
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"""
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# SPDX-License-Identifier: MIT
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# Copyright (c) 2026 Rug Munch Media LLC
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from __future__ import annotations
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import logging
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from typing import Any
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from fastapi import APIRouter, Body
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logger = logging.getLogger(__name__)
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router = APIRouter(tags=["SEO"])
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@router.post("/v1/seo/analyze", tags=["SEO"], summary="Analyze SEO elements from a URL")
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async def seo_analyze(url: str = Body(...)) -> dict[str, Any]:
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"""Analyze all SEO elements from a URL.
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Returns: title, meta description, keywords, headings (H1/H2),
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canonical, OG tags, Twitter cards, word count, link counts,
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schema markup, hreflang tags.
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"""
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from seo_monitor import analyze_seo
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result = await analyze_seo(url)
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return {"success": "error" not in result, "data": result}
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@router.post("/v1/seo/track", tags=["SEO"], summary="Track SEO changes since last scan")
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async def seo_track(url: str = Body(...)) -> dict[str, Any]:
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"""Track SEO changes since the last scan of this URL.
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Compares current SEO elements to previous snapshot and reports
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what changed (title, description, headings, etc.).
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"""
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from seo_monitor import track_seo_changes
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result = await track_seo_changes(url)
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return {"success": "error" not in result, "data": result}
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@router.post("/v1/seo/keywords", tags=["SEO"], summary="Analyze keyword presence in URL content")
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async def seo_keywords(
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url: str = Body(...),
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keywords: list[str] = Body(...),
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) -> dict[str, Any]:
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"""Analyze which keywords a URL targets.
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Checks each keyword for:
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- Presence in title tag
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- Presence in H1 headings
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- Presence in meta description
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- Frequency in body content
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- Keyword density percentage
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"""
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from seo_monitor import get_seo_keyword_insights
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result = await get_seo_keyword_insights(url, keywords)
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return {"success": "error" not in result, "data": result}
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