{"parentUuid":null,"isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"aedeb51937c6cb90c","type":"user","message":{"role":"user","content":"Explore the repo at /opt/projects/.dashboard-cinik-worktrees/tom-auto-populate (Next.js 14 App Router + Prisma app \"cinik-dash\", a monthly SEO report dashboard for Dr Cinik).\n\nI need a COMPLETE inventory of the API routes and data-sync logic. Be thorough and give file paths.\n\n1. Find every API route under `src/app/api/**/route.ts` (and any pages/api). For each, report: HTTP methods, the path, what it does, required inputs (body/query params), auth requirements, and what it reads/writes in the DB.\n\n2. Focus especially on these flows and document them precisely:\n - Report generation: a route like `/api/reports/generate` (POST). What inputs does it need? Does it pull data from DB or external APIs? What does it write to the monthly report record? How is a report marked `published`?\n - Per-month report fetch: `/api/reports/[month-year]` or similar.\n - Mail-agent / insights export: `/api/insights/export?year=&month=` (markdown digest).\n - Competitor backlinks: `/api/competitors/[slug]/backlinks` (GET/POST) and `/api/competitors/backlinks/overview`.\n - Settings: how `monthly_insights_content` and `seo-news-YYYY-MM` settings are saved/read.\n - Any data-sync routes pulling from Google Analytics, Search Console, Monitorank, SEMrush (e.g. `/api/sync/*`, `/api/google/*`, `/api/monitorank/*`). For each external source: which library/SDK is used (googleapis?), which env vars, and which DB fields it populates.\n\n3. Identify the auth mechanism (next-auth?) — are these routes protected? Is there an API key / cron secret for unauthenticated automated calls?\n\nReport back: a structured route inventory grouped by purpose, with file paths, request shapes, and which monthly-report JSON fields each populates. Note which sources are fully automatable via API vs which currently require a manual CSV upload."},"uuid":"deb6d897-9a80-4049-95c3-fd5f21baba4d","timestamp":"2026-06-07T16:48:24.157Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} 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{"parentUuid":"80492d38-7df7-48e9-acc4-f33f3fc760f7","isSidechain":true,"agentId":"aedeb51937c6cb90c","attachment":{"type":"skill_listing","content":"- adapt\n- animate\n- arrange\n- audit\n- bolder\n- bun-to-next\n- clarify\n- colorize\n- critique\n- delight\n- design-taste-frontend: Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check.\n- distill\n- extract\n- feedbackpin: Fetch visual feedback tasks from FeedbackPin, resolve them by fixing the code, and report back via API\n- full-output-enforcement\n- gsap-core\n- gsap-frameworks\n- gsap-performance\n- gsap-plugins\n- gsap-react\n- gsap-scrolltrigger\n- gsap-timeline\n- gsap-utils\n- harden\n- high-end-visual-design\n- impeccable\n- industrial-brutalist-ui\n- minimalist-ui\n- netlify-cli: Déploie, gère et configure des sites Netlify depuis le terminal via le CLI officiel. Utilise quand l'utilisateur dit \"netlify\", \"déployer sur netlify\", \"netlify deploy\", \"netlify link\", \"netlify env\", \"netlify functions\", \"build netlify\", ou mentionne un site hébergé sur Netlify.\n- nextjs-wordpress-headless\n- normalize\n- onboard\n- optimize\n- overdrive\n- paf-site-magic: Pipeline image-first pour construire un site web depuis des maquettes IA, avec extraction de DA depuis un site existant et réutilisation maximale de composants. Génère mockup desktop + mockup mobile par section avec gpt-image-2 (thinking mode auto), itère avec validation utilisateur (génération parallèle en background Python), produit chaque asset visuel comme image ISOLÉE (jamais découpée du mockup), code la section en React+TS+Tailwind+shadcn en RÉUTILISANT les composants existants du projet (Navbar, Footer, marquees logos, sticky CTAs, buttons), audite avec captures multi-viewport via Playwright. Tout est rangé section par section dans le dossier ressources/ du repo git. Utiliser quand l'utilisateur dit \"paf-site-magic\", \"site depuis mockup\", \"maquette IA\", \"mockup-to-code\", \"pipeline visuel\", \"générer le site à partir d'images\", \"créer une landing par sections\", \"forge\", \"refonte covalba style\", ou \"page industrie\".\n- polish\n- quieter\n- redesign-existing-projects\n- refero-design\n- scheduled-actions\n- seo\n- seo-audit\n- seo-backlinks\n- seo-competitor-pages\n- seo-content\n- seo-dataforseo\n- seo-firecrawl\n- seo-geo\n- seo-google\n- seo-hreflang\n- seo-image-gen\n- seo-images\n- seo-local\n- seo-maps\n- seo-page\n- seo-plan\n- seo-programmatic\n- seo-schema\n- seo-sitemap\n- seo-technical\n- shape\n- stitch-design-taste\n- typeset\n- handoff: Cree ou met a jour HANDOFF.md pour passer le relais a l'agent suivant\n- deep-research: Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report. - When the user wants a deep, multi-source, fact-checked research report on any topic. BEFORE invoking, check if the question is specific enough to research directly — if underspecified (e.g., \"what car to buy\" without budget/use-case/region), ask 2-3 clarifying questions to narrow scope. Then pass the refined question as args, weaving the answers in.\n- vercel:bootstrap\n- vercel:deploy\n- vercel:env\n- vercel:marketplace\n- vercel:status\n- vercel:ai-gateway\n- vercel:ai-sdk\n- vercel:auth\n- vercel:bootstrap\n- vercel:chat-sdk\n- vercel:deployments-cicd\n- vercel:env-vars\n- vercel:knowledge-update\n- vercel:marketplace\n- vercel:next-cache-components\n- vercel:next-forge\n- vercel:next-upgrade\n- vercel:nextjs\n- vercel:react-best-practices\n- vercel:routing-middleware\n- vercel:runtime-cache\n- vercel:shadcn\n- vercel:turbopack\n- vercel:vercel-agent\n- vercel:vercel-cli\n- vercel:vercel-firewall\n- vercel:vercel-functions\n- vercel:vercel-sandbox\n- vercel:vercel-storage\n- vercel:verification\n- vercel:workflow\n- update-config: Use this skill to configure the Claude Code harness via settings.json. Automated behaviors (\"from now on when X\", \"each time X\", \"whenever X\", \"before/after X\") require hooks configured in settings.json - the harness executes these, not Claude, so memory/preferences cannot fulfill them. Also use for: permissions (\"allow X\", \"add permission\", \"move permission to\"), env vars (\"set X=Y\"), hook troubleshooting, or any changes to settings.json/settings.local.json files. Examples: \"allow npm commands\", \"add bq permission to global settings\", \"move permission to user settings\", \"set DEBUG=true\", \"when claude stops show X\". For simple settings like theme/model, suggest the /config command.\n- keybindings-help: Use when the user wants to customize keyboard shortcuts, rebind keys, add chord bindings, or modify ~/.claude/keybindings.json. Examples: \"rebind ctrl+s\", \"add a chord shortcut\", \"change the submit key\", \"customize keybindings\".\n- verify: Verify that a code change actually does what it's supposed to by running the app and observing behavior. Use when asked to verify a PR, confirm a fix works, test a change manually, check that a feature works, or validate local changes before pushing.\n- code-review: Review the current diff for correctness bugs and reuse/simplification/efficiency cleanups at the given effort level (low/medium: fewer, high-confidence findings; high→max: broader coverage, may include uncertain findings; ultra: deep multi-agent review in the cloud). Pass --comment to post findings as inline PR comments, or --fix to apply the findings to the working tree after the review.\n- simplify: Review the changed code for reuse, simplification, efficiency, and altitude cleanups, then apply the fixes. Quality only — it does not hunt for bugs; use /code-review for that.\n- fewer-permission-prompts: Scan your transcripts for common read-only Bash and MCP tool calls, then add a prioritized allowlist to project .claude/settings.json to reduce permission prompts.\n- loop: Run a prompt or slash command on a recurring interval (e.g. /loop 5m /foo). Omit the interval to let the model self-pace. - When the user wants to set up a recurring task, poll for status, or run something repeatedly on an interval (e.g. \"check the deploy every 5 minutes\", \"keep running /babysit-prs\"). Do NOT invoke for one-off tasks.\n- schedule: Create, update, list, or run scheduled remote agents (routines) that execute on a cron schedule. - When the user wants to schedule a recurring remote agent, set up automated tasks, create a cron job for Claude Code, or manage their scheduled agents/routines. Also use when the user wants a one-time scheduled run (\"run this once at 3pm\", \"remind me to check X tomorrow\").\n- claude-api: Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration.\nTRIGGER — read BEFORE opening the target file; don't skip because it \"looks like a one-liner\" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens).\nSKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file).\n- run: Launch and drive this project's app to see a change working. Use when asked to run, start, or screenshot the app, or to confirm a change works in the real app (not just tests). First looks for a project skill that already covers launching the app; otherwise falls back to built-in patterns per project type (CLI, server, TUI, Electron, browser-driven, library).\n- init: Initialize a new CLAUDE.md file with codebase documentation\n- review\n- security-review","skillCount":109,"isInitial":true,"names":["adapt","animate","arrange","audit","bolder","bun-to-next","clarify","colorize","critique","delight","design-taste-frontend","distill","extract","feedbackpin","full-output-enforcement","gsap-core","gsap-frameworks","gsap-performance","gsap-plugins","gsap-react","gsap-scrolltrigger","gsap-timeline","gsap-utils","harden","high-end-visual-design","impeccable","industrial-brutalist-ui","minimalist-ui","netlify-cli","nextjs-wordpress-headless","normalize","onboard","optimize","overdrive","paf-site-magic","polish","quieter","redesign-existing-projects","refero-design","scheduled-actions","seo","seo-audit","seo-backlinks","seo-competitor-pages","seo-content","seo-dataforseo","seo-firecrawl","seo-geo","seo-google","seo-hreflang","seo-image-gen","seo-images","seo-local","seo-maps","seo-page","seo-plan","seo-programmatic","seo-schema","seo-sitemap","seo-technical","shape","stitch-design-taste","typeset","handoff","deep-research","vercel:bootstrap","vercel:deploy","vercel:env","vercel:marketplace","vercel:status","vercel:ai-gateway","vercel:ai-sdk","vercel:auth","vercel:bootstrap","vercel:chat-sdk","vercel:deployments-cicd","vercel:env-vars","vercel:knowledge-update","vercel:marketplace","vercel:next-cache-components","vercel:next-forge","vercel:next-upgrade","vercel:nextjs","vercel:react-best-practices","vercel:routing-middleware","vercel:runtime-cache","vercel:shadcn","vercel:turbopack","vercel:vercel-agent","vercel:vercel-cli","vercel:vercel-firewall","vercel:vercel-functions","vercel:vercel-sandbox","vercel:vercel-storage","vercel:verification","vercel:workflow","update-config","keybindings-help","verify","code-review","simplify","fewer-permission-prompts","loop","schedule","claude-api","run","init","review","security-review"]},"type":"attachment","uuid":"56a211b3-81cc-4ed9-a831-16a469ab0330","timestamp":"2026-06-07T16:48:24.176Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"56a211b3-81cc-4ed9-a831-16a469ab0330","isSidechain":true,"agentId":"aedeb51937c6cb90c","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01DBr7JFnNxYz2rCQRJNsxDw","type":"message","role":"assistant","content":[{"type":"text","text":"I'll conduct a thorough exploration of this Next.js 14 + Prisma dashboard to map out all API routes and data-sync logic. Let me start by understanding the project structure."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":12533,"cache_read_input_tokens":5674,"cache_creation":{"ephemeral_5m_input_tokens":12533,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEwwRuUvYahg3cYJgzV","attributionAgent":"Explore","type":"assistant","uuid":"6bc4892a-5a36-4af9-81f6-5eb8f6eb9e77","timestamp":"2026-06-07T16:48:25.812Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} 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-20"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":12533,"cache_read_input_tokens":5674,"output_tokens":135,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":12533},"inference_geo":"not_available","iterations":[{"input_tokens":3,"output_tokens":135,"cache_read_input_tokens":5674,"cache_creation_input_tokens":12533,"cache_creation":{"ephemeral_5m_input_tokens":12533,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbpEwwRuUvYahg3cYJgzV","attributionAgent":"Explore","type":"assistant","uuid":"2b8d6a42-8d21-404a-8672-073a278305fa","timestamp":"2026-06-07T16:48:26.118Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"2b8d6a42-8d21-404a-8672-073a278305fa","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"aedeb51937c6cb90c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YLwZSMMjA3qvFc5rP6p9AE","type":"tool_result","content":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/rankings-cinik/app/api/refresh/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/test-connection/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/dashboard/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/discover/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/llm/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/config/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/competitors/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/insights/news/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/insights/export/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/insights/content/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/reports/generate/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/reports/[slug]/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/reports/list/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/competitors/overview/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/competitors/sync/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/competitors/fetch-details/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/competitors/[slug]/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/sync/dataforseo/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/sync/seomonitor/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/sync/monitorank/route.ts","is_error":false}]},"uuid":"18f2c9c7-7480-44a9-bacf-2e821142a2cb","timestamp":"2026-06-07T16:48:26.204Z","sourceToolAssistantUUID":"2b8d6a42-8d21-404a-8672-073a278305fa","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"18f2c9c7-7480-44a9-bacf-2e821142a2cb","isSidechain":true,"agentId":"aedeb51937c6cb90c","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01UaaeCyz21k7gWCtSkNTHhm","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me find the complete list of API routes and understand the project structure better:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":2371,"cache_read_input_tokens":18207,"cache_creation":{"ephemeral_5m_input_tokens":2371,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEx63L56DY1gtwzweqH","attributionAgent":"Explore","type":"assistant","uuid":"048d9a64-2378-4b69-b819-c1a678bff156","timestamp":"2026-06-07T16:48:27.836Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"048d9a64-2378-4b69-b819-c1a678bff156","isSidechain":true,"agentId":"aedeb51937c6cb90c","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01UaaeCyz21k7gWCtSkNTHhm","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Uy6JauWnqC5wHvqmRSRgp2","name":"Bash","input":{"command":"find /opt/projects/.dashboard-cinik-worktrees/tom-auto-populate -type f -name \"route.ts\" | sort"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":2371,"cache_read_input_tokens":18207,"output_tokens":101,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2371},"inference_geo":"not_available","iterations":[{"input_tokens":5,"output_tokens":101,"cache_read_input_tokens":18207,"cache_creation_input_tokens":2371,"cache_creation":{"ephemeral_5m_input_tokens":2371,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbpEx63L56DY1gtwzweqH","attributionAgent":"Explore","type":"assistant","uuid":"5cb334e9-7d44-4054-94ed-639e40771538","timestamp":"2026-06-07T16:48:28.394Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"5cb334e9-7d44-4054-94ed-639e40771538","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"aedeb51937c6cb90c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Uy6JauWnqC5wHvqmRSRgp2","type":"tool_result","content":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/rankings-cinik/app/api/refresh/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/auth/[...nextauth]/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/competitors/[slug]/backlinks/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/competitors/[slug]/posts/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/competitors/[slug]/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/competitors/backlinks/overview/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/competitors/fetch-details/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/competitors/overview/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/competitors/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/competitors/sync/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/config/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/dashboard/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/discover/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/google/accounts/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/google/analytics/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/google/search-console/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/import/data/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/import/semrush/manual/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/import/semrush/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/import/status/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/import/sync/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/import/zoho/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/insights/content/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/insights/export/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/insights/news/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/llm/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/market/[lang]/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/reports/[slug]/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/reports/generate/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/reports/list/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/sync/dataforseo/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/sync/monitorank/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/sync/seomonitor/route.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/test-connection/route.ts","is_error":false}]},"uuid":"a00f34e8-a4d6-4185-85c6-c6fccd84f5da","timestamp":"2026-06-07T16:48:28.494Z","sourceToolAssistantUUID":"5cb334e9-7d44-4054-94ed-639e40771538","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"a00f34e8-a4d6-4185-85c6-c6fccd84f5da","isSidechain":true,"agentId":"aedeb51937c6cb90c","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Kkq4yYSE3CXm7KyFdBk7pB","type":"message","role":"assistant","content":[{"type":"text","text":"Excellent! Now let me read the database schema to understand the data model, then systematically examine each route:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":1293,"cache_read_input_tokens":20578,"cache_creation":{"ephemeral_5m_input_tokens":1293,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpExFuQXTJL4ewhbZvRf","attributionAgent":"Explore","type":"assistant","uuid":"7b2b1042-d5d2-4607-af23-7c832610c239","timestamp":"2026-06-07T16:48:37.429Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"7b2b1042-d5d2-4607-af23-7c832610c239","isSidechain":true,"agentId":"aedeb51937c6cb90c","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Kkq4yYSE3CXm7KyFdBk7pB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CDmEnEHddzVnhW4tpnMzYJ","name":"Read","input":{"file_path":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/prisma/schema.prisma"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":1293,"cache_read_input_tokens":20578,"cache_creation":{"ephemeral_5m_input_tokens":1293,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpExFuQXTJL4ewhbZvRf","attributionAgent":"Explore","type":"assistant","uuid":"a00f8078-f47c-40ed-8423-fc2e3bee5cb3","timestamp":"2026-06-07T16:48:37.712Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"a00f8078-f47c-40ed-8423-fc2e3bee5cb3","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"aedeb51937c6cb90c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CDmEnEHddzVnhW4tpnMzYJ","type":"tool_result","content":"1\t// This is your Prisma schema file,\n2\t// learn more about it in the docs: https://pris.ly/d/prisma-schema\n3\t\n4\tgenerator client {\n5\t provider = \"prisma-client-js\"\n6\t}\n7\t\n8\tdatasource db {\n9\t provider = \"postgresql\"\n10\t url = env(\"DATABASE_URL\")\n11\t}\n12\t\n13\t// =====================================\n14\t// NEXTAUTH MODELS\n15\t// =====================================\n16\t\n17\tmodel Account {\n18\t id String @id @default(cuid())\n19\t userId String\n20\t type String\n21\t provider String\n22\t providerAccountId String\n23\t refresh_token String? @db.Text\n24\t access_token String? @db.Text\n25\t expires_at Int?\n26\t token_type String?\n27\t scope String?\n28\t id_token String? @db.Text\n29\t session_state String?\n30\t\n31\t user User @relation(fields: [userId], references: [id], onDelete: Cascade)\n32\t\n33\t @@unique([provider, providerAccountId])\n34\t}\n35\t\n36\tmodel Session {\n37\t id String @id @default(cuid())\n38\t sessionToken String @unique\n39\t userId String\n40\t expires DateTime\n41\t user User @relation(fields: [userId], references: [id], onDelete: Cascade)\n42\t}\n43\t\n44\tmodel User {\n45\t id String @id @default(cuid())\n46\t name String?\n47\t email String? @unique\n48\t emailVerified DateTime?\n49\t image String?\n50\t accounts Account[]\n51\t sessions Session[]\n52\t}\n53\t\n54\tmodel VerificationToken {\n55\t identifier String\n56\t token String @unique\n57\t expires DateTime\n58\t\n59\t @@unique([identifier, token])\n60\t}\n61\t\n62\t// =====================================\n63\t// MARKETS CONFIGURATION\n64\t// =====================================\n65\t\n66\tenum RankingSource {\n67\t seomonitor\n68\t monitorank\n69\t dataforseo\n70\t}\n71\t\n72\tmodel Market {\n73\t code String @id @db.VarChar(10)\n74\t name String @db.VarChar(50)\n75\t emoji String? @db.VarChar(10)\n76\t urlPath String? @map(\"url_path\") @db.VarChar(20)\n77\t rankingSource RankingSource? @map(\"ranking_source\")\n78\t campaignId String? @map(\"campaign_id\") @db.VarChar(100)\n79\t mainKeyword String? @map(\"main_keyword\") @db.VarChar(255)\n80\t isActive Boolean @default(true) @map(\"is_active\")\n81\t createdAt DateTime @default(now()) @map(\"created_at\")\n82\t updatedAt DateTime @updatedAt @map(\"updated_at\")\n83\t\n84\t priorityKeywords PriorityKeyword[]\n85\t monthlyLeads MonthlyLead[]\n86\t semrushRankings SemrushRanking[]\n87\t keywordRankings KeywordRanking[]\n88\t searchTraffic MonthlySearchTraffic[]\n89\t\n90\t @@map(\"markets\")\n91\t}\n92\t\n93\t// =====================================\n94\t// PRIORITY KEYWORDS PER MARKET\n95\t// =====================================\n96\t\n97\tmodel PriorityKeyword {\n98\t id Int @id @default(autoincrement())\n99\t marketCode String @map(\"market_code\") @db.VarChar(10)\n100\t keyword String @db.VarChar(255)\n101\t isMain Boolean @default(false) @map(\"is_main\")\n102\t searchVolume Int? @map(\"search_volume\")\n103\t displayOrder Int? @map(\"display_order\")\n104\t\n105\t market Market @relation(fields: [marketCode], references: [code], onDelete: Cascade)\n106\t\n107\t @@unique([marketCode, keyword])\n108\t @@map(\"priority_keywords\")\n109\t}\n110\t\n111\t// =====================================\n112\t// MONTHLY LEADS (ZOHO CSV IMPORT)\n113\t// =====================================\n114\t\n115\tmodel MonthlyLead {\n116\t id Int @id @default(autoincrement())\n117\t month DateTime @db.Date\n118\t marketCode String @map(\"market_code\") @db.VarChar(10)\n119\t leads Int\n120\t importedAt DateTime @default(now()) @map(\"imported_at\")\n121\t\n122\t market Market @relation(fields: [marketCode], references: [code], onDelete: Cascade)\n123\t\n124\t @@unique([month, marketCode])\n125\t @@index([month])\n126\t @@index([marketCode])\n127\t @@map(\"monthly_leads\")\n128\t}\n129\t\n130\t// =====================================\n131\t// SEMRUSH RANKINGS DISTRIBUTION (CSV IMPORT)\n132\t// =====================================\n133\t\n134\tmodel SemrushRanking {\n135\t id Int @id @default(autoincrement())\n136\t month DateTime @db.Date\n137\t marketCode String @map(\"market_code\") @db.VarChar(10)\n138\t top1_3 Int? @map(\"top_1_3\")\n139\t top4_10 Int? @map(\"top_4_10\")\n140\t top11_20 Int? @map(\"top_11_20\")\n141\t top21_30 Int? @map(\"top_21_30\")\n142\t top31_40 Int? @map(\"top_31_40\")\n143\t top41_50 Int? @map(\"top_41_50\")\n144\t top51_60 Int? @map(\"top_51_60\")\n145\t top61_70 Int? @map(\"top_61_70\")\n146\t top71_80 Int? @map(\"top_71_80\")\n147\t top81_90 Int? @map(\"top_81_90\")\n148\t top91_100 Int? @map(\"top_91_100\")\n149\t importedAt DateTime @default(now()) @map(\"imported_at\")\n150\t\n151\t market Market @relation(fields: [marketCode], references: [code], onDelete: Cascade)\n152\t\n153\t @@unique([month, marketCode])\n154\t @@index([month])\n155\t @@map(\"semrush_rankings\")\n156\t}\n157\t\n158\t// =====================================\n159\t// KEYWORD RANKINGS (API: SEOMonitor/Monitorank/DataForSEO)\n160\t// =====================================\n161\t\n162\tmodel KeywordRanking {\n163\t id Int @id @default(autoincrement())\n164\t month DateTime @db.Date\n165\t marketCode String @map(\"market_code\") @db.VarChar(10)\n166\t keyword String @db.VarChar(255)\n167\t positionMobile Int? @map(\"position_mobile\")\n168\t positionDesktop Int? @map(\"position_desktop\")\n169\t searchVolume Int? @map(\"search_volume\")\n170\t landingPage String? @map(\"landing_page\") @db.Text\n171\t source RankingSource\n172\t syncedAt DateTime @default(now()) @map(\"synced_at\")\n173\t\n174\t market Market @relation(fields: [marketCode], references: [code], onDelete: Cascade)\n175\t\n176\t @@unique([month, marketCode, keyword])\n177\t @@index([month, marketCode])\n178\t @@index([keyword])\n179\t @@map(\"keyword_rankings\")\n180\t}\n181\t\n182\t// =====================================\n183\t// MONTHLY SEARCH TRAFFIC (GOOGLE SEARCH CONSOLE API)\n184\t// =====================================\n185\t\n186\tmodel MonthlySearchTraffic {\n187\t id Int @id @default(autoincrement())\n188\t month DateTime @db.Date\n189\t marketCode String @map(\"market_code\") @db.VarChar(10)\n190\t clicks Int?\n191\t impressions BigInt?\n192\t avgPosition Decimal? @map(\"avg_position\") @db.Decimal(5, 2)\n193\t ctr Decimal? @db.Decimal(6, 4)\n194\t nonBrandedPct Decimal? @map(\"non_branded_pct\") @db.Decimal(5, 2)\n195\t syncedAt DateTime @default(now()) @map(\"synced_at\")\n196\t\n197\t market Market @relation(fields: [marketCode], references: [code], onDelete: Cascade)\n198\t\n199\t @@unique([month, marketCode])\n200\t @@index([month])\n201\t @@map(\"monthly_search_traffic\")\n202\t}\n203\t\n204\t// =====================================\n205\t// MONTHLY DISCOVER (GOOGLE SEARCH CONSOLE API)\n206\t// =====================================\n207\t\n208\tmodel MonthlyDiscover {\n209\t id Int @id @default(autoincrement())\n210\t month DateTime @db.Date\n211\t pagePath String? @map(\"page_path\") @db.VarChar(500)\n212\t clicks Int?\n213\t impressions BigInt?\n214\t ctr Decimal? @db.Decimal(6, 4)\n215\t syncedAt DateTime @default(now()) @map(\"synced_at\")\n216\t\n217\t @@unique([month, pagePath])\n218\t @@index([month])\n219\t @@map(\"monthly_discover\")\n220\t}\n221\t\n222\t// =====================================\n223\t// MONTHLY CHANNEL TRAFFIC (GOOGLE ANALYTICS API)\n224\t// =====================================\n225\t\n226\tmodel MonthlyChannelTraffic {\n227\t id Int @id @default(autoincrement())\n228\t month DateTime @db.Date\n229\t channel String @db.VarChar(50)\n230\t sessions Int?\n231\t conversions Int?\n232\t syncedAt DateTime @default(now()) @map(\"synced_at\")\n233\t\n234\t @@unique([month, channel])\n235\t @@index([month])\n236\t @@map(\"monthly_channel_traffic\")\n237\t}\n238\t\n239\t// =====================================\n240\t// MONTHLY COUNTRY TRAFFIC (GOOGLE ANALYTICS API)\n241\t// =====================================\n242\t\n243\tmodel MonthlyCountryTraffic {\n244\t id Int @id @default(autoincrement())\n245\t month DateTime @db.Date\n246\t countryCode String @map(\"country_code\") @db.VarChar(10)\n247\t countryName String? @map(\"country_name\") @db.VarChar(100)\n248\t sessions Int?\n249\t conversions Int?\n250\t syncedAt DateTime @default(now()) @map(\"synced_at\")\n251\t\n252\t @@unique([month, countryCode])\n253\t @@index([month])\n254\t @@map(\"monthly_country_traffic\")\n255\t}\n256\t\n257\t// =====================================\n258\t// DAILY CHANNEL TRAFFIC (GOOGLE ANALYTICS API)\n259\t// =====================================\n260\t\n261\tmodel DailyChannelTraffic {\n262\t id Int @id @default(autoincrement())\n263\t date DateTime @db.Date\n264\t channel String @db.VarChar(50)\n265\t sessions Int?\n266\t conversions Int?\n267\t syncedAt DateTime @default(now()) @map(\"synced_at\")\n268\t\n269\t @@unique([date, channel])\n270\t @@index([date])\n271\t @@map(\"daily_channel_traffic\")\n272\t}\n273\t\n274\t// =====================================\n275\t// MONTHLY LLM TRAFFIC (GOOGLE ANALYTICS API - AI REFERRALS)\n276\t// =====================================\n277\t\n278\tmodel MonthlyLLMTraffic {\n279\t id Int @id @default(autoincrement())\n280\t month DateTime @db.Date\n281\t source String @db.VarChar(50) // chatgpt, perplexity, claude, etc.\n282\t sessions Int?\n283\t conversions Int?\n284\t users Int?\n285\t engagedSessions Int? @map(\"engaged_sessions\")\n286\t syncedAt DateTime @default(now()) @map(\"synced_at\")\n287\t\n288\t @@unique([month, source])\n289\t @@index([month])\n290\t @@map(\"monthly_llm_traffic\")\n291\t}\n292\t\n293\t// =====================================\n294\t// API CONFIGURATION\n295\t// =====================================\n296\t\n297\tenum ApiProvider {\n298\t seomonitor\n299\t monitorank\n300\t dataforseo\n301\t google_analytics\n302\t google_search_console\n303\t}\n304\t\n305\tmodel ApiConfig {\n306\t id Int @id @default(autoincrement())\n307\t provider ApiProvider @unique\n308\t apiKeyEncrypted String? @map(\"api_key_encrypted\") @db.Text\n309\t apiLogin String? @map(\"api_login\") @db.VarChar(255)\n310\t baseUrl String? @map(\"base_url\") @db.VarChar(255)\n311\t // Google specific\n312\t accountId String? @map(\"account_id\") @db.VarChar(100)\n313\t propertyId String? @map(\"property_id\") @db.VarChar(100)\n314\t siteUrl String? @map(\"site_url\") @db.VarChar(255)\n315\t isActive Boolean @default(true) @map(\"is_active\")\n316\t updatedAt DateTime @updatedAt @map(\"updated_at\")\n317\t\n318\t @@map(\"api_config\")\n319\t}\n320\t\n321\t// =====================================\n322\t// CAMPAIGN/PROJECT MAPPING\n323\t// =====================================\n324\t\n325\tmodel CampaignMapping {\n326\t id Int @id @default(autoincrement())\n327\t provider RankingSource\n328\t campaignId String @map(\"campaign_id\") @db.VarChar(100)\n329\t campaignName String? @map(\"campaign_name\") @db.VarChar(255)\n330\t marketCode String @map(\"market_code\") @db.VarChar(10)\n331\t isActive Boolean @default(true) @map(\"is_active\")\n332\t createdAt DateTime @default(now()) @map(\"created_at\")\n333\t\n334\t @@unique([provider, campaignId])\n335\t @@map(\"campaign_mappings\")\n336\t}\n337\t\n338\t// =====================================\n339\t// SYNC LOGS\n340\t// =====================================\n341\t\n342\tenum SyncStatus {\n343\t success\n344\t error\n345\t partial\n346\t}\n347\t\n348\tmodel SyncLog {\n349\t id Int @id @default(autoincrement())\n350\t month DateTime? @db.Date\n351\t provider String @db.VarChar(50)\n352\t startedAt DateTime @map(\"started_at\")\n353\t completedAt DateTime? @map(\"completed_at\")\n354\t status SyncStatus\n355\t recordsProcessed Int? @map(\"records_processed\")\n356\t errorMessage String? @map(\"error_message\") @db.Text\n357\t\n358\t @@index([month])\n359\t @@index([provider])\n360\t @@map(\"sync_logs\")\n361\t}\n362\t\n363\t// =====================================\n364\t// SETTINGS (KEY-VALUE STORE)\n365\t// =====================================\n366\t\n367\tmodel Setting {\n368\t key String @id @db.VarChar(100)\n369\t value String @db.Text\n370\t updatedAt DateTime @updatedAt @map(\"updated_at\")\n371\t\n372\t @@map(\"settings\")\n373\t}\n374\t\n375\t// =====================================\n376\t// COMPETITOR INTELLIGENCE\n377\t// =====================================\n378\t\n379\tmodel Competitor {\n380\t id Int @id @default(autoincrement())\n381\t slug String @unique @db.VarChar(50)\n382\t name String @db.VarChar(100)\n383\t domain String @db.VarChar(100)\n384\t homeUrl String @map(\"home_url\") @db.VarChar(500)\n385\t \n386\t // Extracted via ScrapingBee\n387\t logoUrl String? @map(\"logo_url\") @db.VarChar(500)\n388\t faviconUrl String? @map(\"favicon_url\") @db.VarChar(500)\n389\t \n390\t isActive Boolean @default(true) @map(\"is_active\")\n391\t isOwnBrand Boolean @default(false) @map(\"is_own_brand\") // True for Dr. Cinik\n392\t createdAt DateTime @default(now()) @map(\"created_at\")\n393\t updatedAt DateTime @updatedAt @map(\"updated_at\")\n394\t\n395\t sitemaps CompetitorSitemap[]\n396\t marketPaths CompetitorMarketPath[]\n397\t posts CompetitorPost[]\n398\t backlinks CompetitorBacklink[]\n399\t\n400\t @@map(\"competitors\")\n401\t}\n402\t\n403\t// URL path patterns for each market (e.g., \"/\" for EN, \"/fr/\" for FR)\n404\tmodel CompetitorMarketPath {\n405\t id Int @id @default(autoincrement())\n406\t competitorId Int @map(\"competitor_id\")\n407\t market String @db.VarChar(10) // \"en\", \"fr\", \"it\"\n408\t urlPattern String @map(\"url_pattern\") @db.VarChar(50) // \"/\", \"/en/\", \"/fr/\", etc.\n409\t isActive Boolean @default(true) @map(\"is_active\")\n410\t \n411\t competitor Competitor @relation(fields: [competitorId], references: [id], onDelete: Cascade)\n412\t\n413\t @@unique([competitorId, market])\n414\t @@map(\"competitor_market_paths\")\n415\t}\n416\t\n417\t// Sitemap URLs - can be single (all markets) or per-market\n418\tmodel CompetitorSitemap {\n419\t id Int @id @default(autoincrement())\n420\t competitorId Int @map(\"competitor_id\")\n421\t sitemapUrl String @map(\"sitemap_url\") @db.VarChar(500)\n422\t \n423\t // NULL = covers all markets (use URL patterns to detect)\n424\t // \"en\"/\"fr\"/\"it\" = market-specific sitemap\n425\t market String? @db.VarChar(10)\n426\t \n427\t lastFetched DateTime? @map(\"last_fetched\")\n428\t lastStatus String? @map(\"last_status\") @db.VarChar(20) // \"success\", \"error\", \"timeout\"\n429\t postCount Int? @map(\"post_count\")\n430\t \n431\t competitor Competitor @relation(fields: [competitorId], references: [id], onDelete: Cascade)\n432\t\n433\t @@unique([competitorId, sitemapUrl])\n434\t @@map(\"competitor_sitemaps\")\n435\t}\n436\t\n437\t// Blog posts from competitors\n438\tmodel CompetitorPost {\n439\t id Int @id @default(autoincrement())\n440\t competitorId Int @map(\"competitor_id\")\n441\t url String @db.VarChar(500)\n442\t market String @db.VarChar(10) // \"en\", \"fr\", \"it\"\n443\t \n444\t // From sitemap\n445\t slug String? @db.VarChar(255)\n446\t lastmod DateTime?\n447\t changefreq String? @db.VarChar(20)\n448\t priority Decimal? @db.Decimal(2, 1)\n449\t \n450\t // From ScrapingBee extraction\n451\t title String? @db.VarChar(500)\n452\t h1 String? @db.VarChar(500)\n453\t publishedDate DateTime? @map(\"published_date\")\n454\t description String? @db.Text\n455\t featuredImage String? @map(\"featured_image\") @db.VarChar(500)\n456\t \n457\t // Tracking\n458\t firstSeen DateTime @default(now()) @map(\"first_seen\")\n459\t lastSeen DateTime @default(now()) @map(\"last_seen\")\n460\t detailsFetched Boolean @default(false) @map(\"details_fetched\")\n461\t \n462\t competitor Competitor @relation(fields: [competitorId], references: [id], onDelete: Cascade)\n463\t\n464\t @@unique([competitorId, url])\n465\t @@index([competitorId, market])\n466\t @@index([lastmod])\n467\t @@index([publishedDate])\n468\t @@index([firstSeen])\n469\t @@map(\"competitor_posts\")\n470\t}\n471\t\n472\t// Sync logs for competitor data\n473\tmodel CompetitorSyncLog {\n474\t id Int @id @default(autoincrement())\n475\t competitorId Int? @map(\"competitor_id\")\n476\t market String? @db.VarChar(10)\n477\t syncedAt DateTime @default(now()) @map(\"synced_at\")\n478\t status String @db.VarChar(20) // \"success\", \"error\", \"partial\"\n479\t postsFound Int? @map(\"posts_found\")\n480\t newPosts Int? @map(\"new_posts\")\n481\t errorMessage String? @map(\"error_message\") @db.Text\n482\t durationMs Int? @map(\"duration_ms\")\n483\t\n484\t @@index([syncedAt])\n485\t @@index([competitorId])\n486\t @@map(\"competitor_sync_logs\")\n487\t}\n488\t\n489\t// =====================================\n490\t// COMPETITOR BACKLINKS (JSON IMPORT)\n491\t// =====================================\n492\t\n493\tmodel CompetitorBacklink {\n494\t id Int @id @default(autoincrement())\n495\t competitorId Int @map(\"competitor_id\")\n496\t period DateTime @db.Date // First day of month (2025-12-01 = December 2025)\n497\t \n498\t // Backlink data from JSON import\n499\t url String @db.VarChar(1000)\n500\t domain String @db.VarChar(255)\n501\t domainRating Int? @map(\"domain_rating\")\n502\t traffic Int?\n503\t country String? @db.VarChar(10) // CA, DE, US, IT, etc.\n504\t language String? @db.VarChar(10) // en, de, it, etc.\n505\t category String? @db.VarChar(50) // press_release, advertorial, sponsored_article, guest_post, other\n506\t isDofollow Boolean @default(false) @map(\"is_dofollow\")\n507\t firstSeen DateTime? @map(\"first_seen\") @db.Date\n508\t comment String? @db.Text\n509\t \n510\t importedAt DateTime @default(now()) @map(\"imported_at\")\n511\t \n512\t competitor Competitor @relation(fields: [competitorId], references: [id], onDelete: Cascade)\n513\t\n514\t @@unique([competitorId, url]) // One backlink URL per competitor\n515\t @@index([competitorId, period])\n516\t @@index([domain])\n517\t @@index([category])\n518\t @@map(\"competitor_backlinks\")\n519\t}\n520\t\n521\t// =====================================\n522\t// MONTHLY REPORTS (CLIENT VIEW SNAPSHOTS)\n523\t// =====================================\n524\t\n525\tenum ReportStatus {\n526\t draft\n527\t published\n528\t}\n529\t\n530\tmodel MonthlyReport {\n531\t id Int @id @default(autoincrement())\n532\t year Int\n533\t month Int\n534\t slug String @unique // \"december-2025\"\n535\t status ReportStatus @default(draft)\n536\t generatedAt DateTime @default(now()) @map(\"generated_at\")\n537\t publishedAt DateTime? @map(\"published_at\")\n538\t \n539\t // Snapshot data (JSON) - pre-loaded for fast client access\n540\t // Each field contains both M-1 and Y-1 data: { \"m-1\": {...}, \"y-1\": {...} }\n541\t dashboardData Json @map(\"dashboard_data\")\n542\t marketsData Json @map(\"markets_data\")\n543\t discoverData Json @map(\"discover_data\")\n544\t llmData Json @map(\"llm_data\")\n545\t competitorsData Json @map(\"competitors_data\")\n546\t competitorDetailsData Json @map(\"competitor_details_data\")\n547\t backlinksData Json @map(\"backlinks_data\")\n548\t insightsContent String? @map(\"insights_content\") @db.Text\n549\t newsData Json? @map(\"news_data\")\n550\t\n551\t @@unique([year, month])\n552\t @@index([status])\n553\t @@map(\"monthly_reports\")\n554\t}\n555\t"}]},"uuid":"680461eb-5fc6-4c3e-b699-93c005aa88ca","timestamp":"2026-06-07T16:48:37.768Z","sourceToolAssistantUUID":"a00f8078-f47c-40ed-8423-fc2e3bee5cb3","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"680461eb-5fc6-4c3e-b699-93c005aa88ca","isSidechain":true,"agentId":"aedeb51937c6cb90c","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011jsZoV9tPAaW342tqKLQwH","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me systematically read each API route. I'll start with the critical ones:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":6967,"cache_read_input_tokens":21871,"cache_creation":{"ephemeral_5m_input_tokens":6967,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpExwtiQLvkNnuUhxhZD","attributionAgent":"Explore","type":"assistant","uuid":"bafcdcb5-bc4f-4cae-9667-34d1556f5831","timestamp":"2026-06-07T16:48:39.775Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"bafcdcb5-bc4f-4cae-9667-34d1556f5831","isSidechain":true,"agentId":"aedeb51937c6cb90c","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011jsZoV9tPAaW342tqKLQwH","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016NiyB9FMnCE6PTW61nKBx2","name":"Read","input":{"file_path":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/reports/generate/route.ts"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":6967,"cache_read_input_tokens":21871,"cache_creation":{"ephemeral_5m_input_tokens":6967,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpExwtiQLvkNnuUhxhZD","attributionAgent":"Explore","type":"assistant","uuid":"7c8f7935-e336-4ca3-953e-06ec9493f794","timestamp":"2026-06-07T16:48:40.431Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"7c8f7935-e336-4ca3-953e-06ec9493f794","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"aedeb51937c6cb90c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016NiyB9FMnCE6PTW61nKBx2","type":"tool_result","content":"1\timport { NextRequest, NextResponse } from 'next/server';\n2\timport { getServerSession } from 'next-auth';\n3\timport { authOptions } from '@/lib/auth';\n4\timport { prisma } from '@/lib/prisma';\n5\t\n6\t// Month name helper\n7\tconst MONTH_NAMES = [\n8\t 'january', 'february', 'march', 'april', 'may', 'june',\n9\t 'july', 'august', 'september', 'october', 'november', 'december'\n10\t];\n11\t\n12\tfunction getMonthSlug(year: number, month: number): string {\n13\t return `${MONTH_NAMES[month - 1]}-${year}`;\n14\t}\n15\t\n16\ttype CompareMode = 'm-1' | 'y-1';\n17\t\n18\tfunction getInternalApiBaseUrl(request: NextRequest): string {\n19\t const explicitBaseUrl = process.env.INTERNAL_APP_URL?.trim();\n20\t if (explicitBaseUrl) {\n21\t return explicitBaseUrl.replace(/\\/$/, '');\n22\t }\n23\t\n24\t // On production behind Nginx/PM2, localhost avoids proxy/SSL issues for internal calls.\n25\t if (process.env.NODE_ENV === 'production') {\n26\t return 'http://127.0.0.1:3000';\n27\t }\n28\t\n29\t return request.nextUrl.origin;\n30\t}\n31\t\n32\t/**\n33\t * POST /api/reports/generate\n34\t * Generate a monthly report by fetching all API data for BOTH compare modes (M-1 and Y-1)\n35\t */\n36\texport async function POST(request: NextRequest) {\n37\t try {\n38\t const session = await getServerSession(authOptions);\n39\t \n40\t if (!session?.user?.id) {\n41\t return NextResponse.json({ error: 'Unauthorized' }, { status: 401 });\n42\t }\n43\t\n44\t const body = await request.json();\n45\t const { year, month } = body;\n46\t\n47\t if (!year || !month) {\n48\t return NextResponse.json({ error: 'Year and month are required' }, { status: 400 });\n49\t }\n50\t\n51\t const slug = getMonthSlug(year, month);\n52\t \n53\t // Check if report already exists\n54\t const existingReport = await prisma.monthlyReport.findUnique({\n55\t where: { slug },\n56\t });\n57\t\n58\t // Build the base URL for internal API calls\n59\t const baseUrl = getInternalApiBaseUrl(request);\n60\t \n61\t // Helper to fetch API with auth cookie\n62\t const fetchApi = async (path: string, forceRefresh = false) => {\n63\t const cookieHeader = request.headers.get('cookie') || '';\n64\t const url = new URL(`${baseUrl}${path}`);\n65\t if (forceRefresh) {\n66\t url.searchParams.set('forceRefresh', 'true');\n67\t }\n68\t const response = await fetch(url.toString(), {\n69\t headers: {\n70\t 'Cookie': cookieHeader,\n71\t },\n72\t });\n73\t \n74\t if (!response.ok) {\n75\t throw new Error(`API ${path} failed: ${response.status}`);\n76\t }\n77\t \n78\t return response.json();\n79\t };\n80\t\n81\t console.log(`[Report] Generating report for ${slug} with BOTH compare modes...`);\n82\t\n83\t const compareModes: CompareMode[] = ['m-1', 'y-1'];\n84\t\n85\t // 1. Fetch Dashboard Data for both compare modes\n86\t console.log('[Report] Fetching dashboard data...');\n87\t const dashboardData: Record = {} as Record;\n88\t for (const mode of compareModes) {\n89\t dashboardData[mode] = await fetchApi(`/api/dashboard?year=${year}&month=${month}&compareMode=${mode}`, true);\n90\t }\n91\t\n92\t // 2. Fetch Market Data for all primary markets (both compare modes)\n93\t console.log('[Report] Fetching market data...');\n94\t const marketCodes = ['en', 'fr', 'it', 'tr', 'london', 'sr', 'hr', 'us'];\n95\t const marketsData: Record> = {\n96\t 'm-1': {},\n97\t 'y-1': {},\n98\t };\n99\t \n100\t for (const mode of compareModes) {\n101\t for (const code of marketCodes) {\n102\t try {\n103\t marketsData[mode][code] = await fetchApi(`/api/market/${code}?year=${year}&month=${month}&compareMode=${mode}`, true);\n104\t } catch (err) {\n105\t console.warn(`[Report] Failed to fetch market ${code} for ${mode}:`, err);\n106\t marketsData[mode][code] = null;\n107\t }\n108\t }\n109\t }\n110\t\n111\t // 3. Fetch Discover Data for both compare modes\n112\t console.log('[Report] Fetching discover data...');\n113\t const discoverData: Record = {} as Record;\n114\t for (const mode of compareModes) {\n115\t discoverData[mode] = await fetchApi(`/api/discover?year=${year}&month=${month}&compareMode=${mode}`, true);\n116\t }\n117\t\n118\t // 4. Fetch LLM Data for both compare modes\n119\t console.log('[Report] Fetching LLM data...');\n120\t const llmData: Record = {} as Record;\n121\t for (const mode of compareModes) {\n122\t llmData[mode] = await fetchApi(`/api/llm?year=${year}&month=${month}&compareMode=${mode}`, true);\n123\t }\n124\t\n125\t // 5. Fetch Competitors Overview (same for both modes - based on actual post dates)\n126\t console.log('[Report] Fetching competitors overview...');\n127\t const competitorsData = await fetchApi('/api/competitors/overview?period=last-month');\n128\t\n129\t // 6. Fetch Backlinks Overview\n130\t console.log('[Report] Fetching backlinks overview...');\n131\t const periodStr = `${year}-${String(month).padStart(2, '0')}`;\n132\t const backlinksData = await fetchApi(`/api/competitors/backlinks/overview?period=${periodStr}`);\n133\t\n134\t // 7. Fetch Competitor Details for each competitor\n135\t console.log('[Report] Fetching competitor details...');\n136\t const competitors = await prisma.competitor.findMany({\n137\t where: { isActive: true },\n138\t select: { slug: true },\n139\t });\n140\t\n141\t const competitorDetailsData: Record = {};\n142\t \n143\t for (const comp of competitors) {\n144\t try {\n145\t // Fetch competitor info with posts\n146\t const compData = await fetchApi(`/api/competitors/${comp.slug}?period=last-month`);\n147\t \n148\t // Fetch competitor backlinks\n149\t const compBacklinks = await fetchApi(`/api/competitors/${comp.slug}/backlinks?period=${periodStr}`);\n150\t \n151\t competitorDetailsData[comp.slug] = {\n152\t ...compData,\n153\t backlinksData: compBacklinks,\n154\t };\n155\t } catch (err) {\n156\t console.warn(`[Report] Failed to fetch competitor ${comp.slug}:`, err);\n157\t competitorDetailsData[comp.slug] = null;\n158\t }\n159\t }\n160\t\n161\t // 8. Fetch Monthly Insights\n162\t console.log('[Report] Fetching insights content...');\n163\t let insightsContent: string | null = null;\n164\t try {\n165\t const insightsResponse = await fetchApi('/api/insights/content');\n166\t insightsContent = insightsResponse.content || null;\n167\t } catch (err) {\n168\t console.warn('[Report] Failed to fetch insights:', err);\n169\t }\n170\t\n171\t // 9. Fetch SEO News\n172\t console.log('[Report] Fetching SEO news...');\n173\t let newsData: any = null;\n174\t try {\n175\t newsData = await fetchApi(`/api/insights/news?year=${year}&month=${month}`);\n176\t } catch (err) {\n177\t console.warn('[Report] Failed to fetch news:', err);\n178\t }\n179\t\n180\t // Create or update the report\n181\t console.log('[Report] Saving report to database...');\n182\t const reportData = {\n183\t year,\n184\t month,\n185\t slug,\n186\t dashboardData, // Contains both m-1 and y-1\n187\t marketsData, // Contains both m-1 and y-1\n188\t discoverData, // Contains both m-1 and y-1\n189\t llmData, // Contains both m-1 and y-1\n190\t competitorsData, // Same for both (post-based)\n191\t competitorDetailsData,\n192\t backlinksData,\n193\t insightsContent,\n194\t newsData,\n195\t };\n196\t\n197\t let report;\n198\t if (existingReport) {\n199\t report = await prisma.monthlyReport.update({\n200\t where: { id: existingReport.id },\n201\t data: {\n202\t ...reportData,\n203\t generatedAt: new Date(),\n204\t },\n205\t });\n206\t } else {\n207\t report = await prisma.monthlyReport.create({\n208\t data: reportData,\n209\t });\n210\t }\n211\t\n212\t console.log(`[Report] Report ${slug} generated successfully with both compare modes!`);\n213\t\n214\t return NextResponse.json({\n215\t success: true,\n216\t report: {\n217\t id: report.id,\n218\t slug: report.slug,\n219\t year: report.year,\n220\t month: report.month,\n221\t status: report.status,\n222\t generatedAt: report.generatedAt.toISOString(),\n223\t },\n224\t });\n225\t } catch (error) {\n226\t console.error('Error generating report:', error);\n227\t return NextResponse.json(\n228\t { error: error instanceof Error ? error.message : 'Failed to generate report' },\n229\t { status: 500 }\n230\t );\n231\t }\n232\t}\n233\t"}]},"uuid":"fad1bc68-e125-41ef-8958-48d866bac8c7","timestamp":"2026-06-07T16:48:40.462Z","sourceToolAssistantUUID":"7c8f7935-e336-4ca3-953e-06ec9493f794","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"fad1bc68-e125-41ef-8958-48d866bac8c7","isSidechain":true,"agentId":"aedeb51937c6cb90c","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011jsZoV9tPAaW342tqKLQwH","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SUBnCXTxPR5CmvURkHfs7u","name":"Read","input":{"file_path":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/reports/list/route.ts"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":6967,"cache_read_input_tokens":21871,"cache_creation":{"ephemeral_5m_input_tokens":6967,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpExwtiQLvkNnuUhxhZD","attributionAgent":"Explore","type":"assistant","uuid":"51530944-798d-4fbf-96a3-7a0c42f274e5","timestamp":"2026-06-07T16:48:40.653Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"51530944-798d-4fbf-96a3-7a0c42f274e5","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"aedeb51937c6cb90c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SUBnCXTxPR5CmvURkHfs7u","type":"tool_result","content":"1\timport { NextResponse } from 'next/server';\n2\timport { prisma } from '@/lib/prisma';\n3\t\n4\texport const dynamic = 'force-dynamic';\n5\texport const revalidate = 0;\n6\t\n7\t// Month name helper\n8\tconst MONTH_NAMES = [\n9\t 'January', 'February', 'March', 'April', 'May', 'June',\n10\t 'July', 'August', 'September', 'October', 'November', 'December'\n11\t];\n12\t\n13\t/**\n14\t * GET /api/reports/list\n15\t * List all generated reports\n16\t */\n17\texport async function GET() {\n18\t try {\n19\t const reports = await prisma.monthlyReport.findMany({\n20\t select: {\n21\t id: true,\n22\t slug: true,\n23\t year: true,\n24\t month: true,\n25\t status: true,\n26\t generatedAt: true,\n27\t publishedAt: true,\n28\t },\n29\t orderBy: [\n30\t { year: 'desc' },\n31\t { month: 'desc' },\n32\t ],\n33\t });\n34\t\n35\t return NextResponse.json({\n36\t reports: reports.map(r => ({\n37\t ...r,\n38\t label: `${MONTH_NAMES[r.month - 1]} ${r.year}`,\n39\t generatedAt: r.generatedAt.toISOString(),\n40\t publishedAt: r.publishedAt?.toISOString() || null,\n41\t })),\n42\t });\n43\t } catch (error) {\n44\t console.error('Error listing reports:', error);\n45\t return NextResponse.json(\n46\t { error: 'Failed to list reports' },\n47\t { status: 500 }\n48\t );\n49\t }\n50\t}\n51\t"}]},"uuid":"b09feb47-8b18-47ac-8573-828729418239","timestamp":"2026-06-07T16:48:40.680Z","sourceToolAssistantUUID":"51530944-798d-4fbf-96a3-7a0c42f274e5","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} 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{"parentUuid":"e696c543-a81d-4ab4-b634-6994cb21cd67","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"aedeb51937c6cb90c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MQH8g3wx6VZmsdzua9HN51","type":"tool_result","content":"1\timport { NextRequest, NextResponse } from 'next/server';\n2\timport { getServerSession } from 'next-auth';\n3\timport { authOptions } from '@/lib/auth';\n4\timport { prisma } from '@/lib/prisma';\n5\t\n6\texport const dynamic = 'force-dynamic';\n7\texport const revalidate = 0;\n8\t\n9\t// Month name helper\n10\tconst MONTH_NAMES = [\n11\t 'January', 'February', 'March', 'April', 'May', 'June',\n12\t 'July', 'August', 'September', 'October', 'November', 'December'\n13\t];\n14\t\n15\tinterface RouteParams {\n16\t params: Promise<{ slug: string }>;\n17\t}\n18\t\n19\t/**\n20\t * GET /api/reports/[slug]\n21\t * Fetch a single report with all its data\n22\t */\n23\texport async function GET(request: NextRequest, { params }: RouteParams) {\n24\t try {\n25\t const { slug } = await params;\n26\t\n27\t const report = await prisma.monthlyReport.findUnique({\n28\t where: { slug },\n29\t });\n30\t\n31\t if (!report) {\n32\t return NextResponse.json({ error: 'Report not found' }, { status: 404 });\n33\t }\n34\t\n35\t return NextResponse.json({\n36\t report: {\n37\t id: report.id,\n38\t slug: report.slug,\n39\t year: report.year,\n40\t month: report.month,\n41\t label: `${MONTH_NAMES[report.month - 1]} ${report.year}`,\n42\t status: report.status,\n43\t generatedAt: report.generatedAt.toISOString(),\n44\t publishedAt: report.publishedAt?.toISOString() || null,\n45\t // Data contains both compare modes: { \"m-1\": {...}, \"y-1\": {...} }\n46\t dashboardData: report.dashboardData,\n47\t marketsData: report.marketsData,\n48\t discoverData: report.discoverData,\n49\t llmData: report.llmData,\n50\t competitorsData: report.competitorsData,\n51\t competitorDetailsData: report.competitorDetailsData,\n52\t backlinksData: report.backlinksData,\n53\t insightsContent: report.insightsContent,\n54\t newsData: report.newsData,\n55\t },\n56\t });\n57\t } catch (error) {\n58\t console.error('Error fetching report:', error);\n59\t return NextResponse.json(\n60\t { error: 'Failed to fetch report' },\n61\t { status: 500 }\n62\t );\n63\t }\n64\t}\n65\t\n66\t/**\n67\t * PUT /api/reports/[slug]\n68\t * Update report status (publish/unpublish)\n69\t */\n70\texport async function PUT(request: NextRequest, { params }: RouteParams) {\n71\t try {\n72\t const session = await getServerSession(authOptions);\n73\t \n74\t if (!session?.user?.id) {\n75\t return NextResponse.json({ error: 'Unauthorized' }, { status: 401 });\n76\t }\n77\t\n78\t const { slug } = await params;\n79\t const body = await request.json();\n80\t const { status } = body;\n81\t\n82\t if (!status || !['draft', 'published'].includes(status)) {\n83\t return NextResponse.json({ error: 'Invalid status' }, { status: 400 });\n84\t }\n85\t\n86\t const report = await prisma.monthlyReport.findUnique({\n87\t where: { slug },\n88\t });\n89\t\n90\t if (!report) {\n91\t return NextResponse.json({ error: 'Report not found' }, { status: 404 });\n92\t }\n93\t\n94\t const updatedReport = await prisma.monthlyReport.update({\n95\t where: { id: report.id },\n96\t data: {\n97\t status,\n98\t publishedAt: status === 'published' ? new Date() : null,\n99\t },\n100\t });\n101\t\n102\t return NextResponse.json({\n103\t success: true,\n104\t report: {\n105\t id: updatedReport.id,\n106\t slug: updatedReport.slug,\n107\t status: updatedReport.status,\n108\t publishedAt: updatedReport.publishedAt?.toISOString() || null,\n109\t },\n110\t });\n111\t } catch (error) {\n112\t console.error('Error updating report:', error);\n113\t return NextResponse.json(\n114\t { error: 'Failed to update report' },\n115\t { status: 500 }\n116\t );\n117\t }\n118\t}\n119\t\n120\t/**\n121\t * DELETE /api/reports/[slug]\n122\t * Delete a report\n123\t */\n124\texport async function DELETE(request: NextRequest, { params }: RouteParams) {\n125\t try {\n126\t const session = await getServerSession(authOptions);\n127\t \n128\t if (!session?.user?.id) {\n129\t return NextResponse.json({ error: 'Unauthorized' }, { status: 401 });\n130\t }\n131\t\n132\t const { slug } = await params;\n133\t\n134\t const report = await prisma.monthlyReport.findUnique({\n135\t where: { slug },\n136\t });\n137\t\n138\t if (!report) {\n139\t return NextResponse.json({ error: 'Report not found' }, { status: 404 });\n140\t }\n141\t\n142\t await prisma.monthlyReport.delete({\n143\t where: { id: report.id },\n144\t });\n145\t\n146\t return NextResponse.json({ success: true });\n147\t } catch (error) {\n148\t console.error('Error deleting report:', error);\n149\t return NextResponse.json(\n150\t { error: 'Failed to delete report' },\n151\t { status: 500 }\n152\t );\n153\t 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{"parentUuid":"d1cac551-a100-429b-8939-b2b2b1903e5b","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"aedeb51937c6cb90c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XapHV6yiuBTUtLNvu3BDqi","type":"tool_result","content":"1\timport { NextRequest, NextResponse } from 'next/server';\n2\timport { getServerSession } from 'next-auth';\n3\timport { authOptions } from '@/lib/auth';\n4\timport { getAnalyticsClient, getSearchConsoleClient, getMonthBounds, normalizeChannelName } from '@/lib/google';\n5\timport prisma from '@/lib/prisma';\n6\t\n7\tconst PROPERTY_ID = '305021969';\n8\tconst SITE_URL = 'sc-domain:emrahcinik.com';\n9\t\n10\tconst MARKET_PATHS: Record = {\n11\t 'en': { name: 'English', flag: '🇬🇧', path: '/' },\n12\t 'fr': { name: 'French', flag: '🇫🇷', path: '/fr/' },\n13\t 'it': { name: 'Italian', flag: '🇮🇹', path: '/it/' },\n14\t 'tr': { name: 'Turkish', flag: '🇹🇷', path: '/tr/' },\n15\t 'london': { name: 'London', flag: '🏴󠁧󠁢󠁥󠁮󠁧󠁿', path: '/london/' },\n16\t 'sr': { name: 'Serbian', flag: '🇷🇸', path: '/sr/' },\n17\t 'hr': { name: 'Croatian', flag: '🇭🇷', path: '/hr/' },\n18\t 'us': { name: 'United States', flag: '🇺🇸', path: '/', filterByCountry: 'usa' },\n19\t 'de': { name: 'German', flag: '🇩🇪', path: '/de/' },\n20\t 'ru': { name: 'Russian', flag: '🇷🇺', path: '/ru/' },\n21\t};\n22\t\n23\tconst PRIMARY_MARKETS = ['en', 'fr', 'it', 'tr', 'london', 'sr', 'hr', 'us'];\n24\tconst ZOHO_MARKETS = ['en', 'fr', 'it', 'london'];\n25\t\n26\tconst LLM_PATTERNS = [\n27\t { id: 'chatgpt', name: 'ChatGPT', patterns: ['chatgpt.com', 'chat.openai.com', 'openai.com'] },\n28\t { id: 'perplexity', name: 'Perplexity', patterns: ['perplexity.ai', 'perplexity'] },\n29\t { id: 'gemini', name: 'Gemini', patterns: ['gemini.google.com', 'bard.google.com'] },\n30\t { id: 'copilot', name: 'Copilot', patterns: ['copilot.microsoft.com', 'copilot.cloud.microsoft', 'copilot.com'] },\n31\t { id: 'claude', name: 'Claude', patterns: ['claude.ai', 'anthropic.com'] },\n32\t { id: 'deepseek', name: 'DeepSeek', patterns: ['deepseek.com', 'chat.deepseek'] },\n33\t { id: 'mistral', name: 'Mistral', patterns: ['mistral.ai', 'chat.mistral'] },\n34\t { id: 'meta', name: 'Meta AI', patterns: ['meta.ai'] },\n35\t { id: 'poe', name: 'Poe', patterns: ['poe.com'] },\n36\t { id: 'huggingface', name: 'HuggingFace', patterns: ['huggingface.co', 'huggingchat'] },\n37\t { id: 'you', name: 'You.com', patterns: ['you.com'] },\n38\t { id: 'phind', name: 'Phind', patterns: ['phind.com'] },\n39\t { id: 'cohere', name: 'Cohere', patterns: ['cohere.ai', 'cohere.com', 'coral.cohere'] },\n40\t { id: 'groq', name: 'Groq', patterns: ['groq.com'] },\n41\t { id: 'character', name: 'Character.AI', patterns: ['character.ai'] },\n42\t { id: 'pi', name: 'Pi (Inflection)', patterns: ['pi.ai', 'inflection.ai'] },\n43\t];\n44\t\n45\tconst MONTH_NAMES = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'];\n46\t\n47\tfunction getInternalApiBaseUrl(request: NextRequest): string {\n48\t const explicitBaseUrl = process.env.INTERNAL_APP_URL?.trim();\n49\t if (explicitBaseUrl) {\n50\t return explicitBaseUrl.replace(/\\/$/, '');\n51\t }\n52\t\n53\t if (process.env.NODE_ENV === 'production') {\n54\t return 'http://127.0.0.1:3000';\n55\t }\n56\t\n57\t return request.nextUrl.origin;\n58\t}\n59\t\n60\t// SEOMonitor & Monitorank configs\n61\tconst SEOMONITOR_BASE_URL = 'https://apigw.seomonitor.com/v3';\n62\tconst MONITORANK_API_URL = 'https://api.monitorank.com/';\n63\t\n64\t// DEPRECATED: Migré vers Monitorank (avril 2026)\n65\tconst SEOMONITOR_CAMPAIGNS: Record = {};\n66\t\n67\tconst MONITORANK_CAMPAIGNS: Record = {\n68\t 'en': { projectId: '277706', version: 'en-uk' },\n69\t 'fr': { projectId: '277706', version: 'fr-fr' },\n70\t 'it': { projectId: '277706', version: 'it-it' },\n71\t 'london': { projectId: '277706', version: 'en-uk', group: 'LONDON' },\n72\t 'tr': { projectId: '277706', version: 'tr-tr' },\n73\t 'hr': { projectId: '277706', version: 'hr-hr' },\n74\t 'sr': { projectId: '277706', version: 'sr-rs' },\n75\t};\n76\t\n77\t// Target keywords to highlight (in all languages)\n78\tconst TARGET_KEYWORDS = [\n79\t // English\n80\t 'hair transplant turkey', 'hair transplant istanbul', 'beard transplant turkey',\n81\t 'fue hair transplant turkey', 'dhi hair transplant turkey', 'hair transplant clinic istanbul',\n82\t // French\n83\t 'greffe de cheveux turquie', 'greffe de cheveux istanbul', 'greffe de barbe turquie',\n84\t 'greffe de cheveux fue turquie', 'greffe de cheveux dhi turquie',\n85\t // Italian\n86\t 'trapianto capelli turchia', 'trapianto capelli istanbul', 'trapianto barba turchia',\n87\t 'trapianto capelli fue turchia', 'trapianto capelli dhi turchia',\n88\t // Turkish\n89\t 'saç ekimi istanbul', 'saç ekimi türkiye', 'sakal ekimi türkiye',\n90\t 'fue saç ekimi', 'dhi saç ekimi',\n91\t // German\n92\t 'haartransplantation türkei', 'haartransplantation istanbul', 'bart transplantation türkei',\n93\t // Spanish\n94\t 'trasplante capilar turquía', 'trasplante de pelo estambul', 'trasplante de barba turquía',\n95\t // Croatian\n96\t 'transplantacija kose turska', 'transplantacija kose istanbul', 'transplantacija brade turska',\n97\t // Serbian\n98\t 'transplantacija kose turskoj', 'transplantacija kose istanbul',\n99\t];\n100\t\n101\tfunction isTargetKeyword(keyword: string): boolean {\n102\t const lowerKw = keyword.toLowerCase();\n103\t return TARGET_KEYWORDS.some(t => lowerKw.includes(t.toLowerCase()) || t.toLowerCase().includes(lowerKw));\n104\t}\n105\t\n106\tfunction calcChange(current: number, previous: number): number {\n107\t if (previous === 0) return current > 0 ? 100 : 0;\n108\t return ((current - previous) / previous) * 100;\n109\t}\n110\t\n111\tfunction formatNum(n: number, d = 0): string {\n112\t return n.toLocaleString('en-US', { maximumFractionDigits: d });\n113\t}\n114\t\n115\tfunction formatChange(c: number, invert = false): string {\n116\t const val = invert ? -c : c;\n117\t return `${val >= 0 ? '+' : ''}${val.toFixed(1)}%`;\n118\t}\n119\t\n120\t// Fetch SEOMonitor keywords with daily ranks\n121\tasync function fetchSEOMonitorKeywords(campaignId: number, folderId: number, apiKey: string, startDate: string, endDate: string) {\n122\t const keywords: any[] = [];\n123\t let offset = 0;\n124\t const limit = 1000;\n125\t\n126\t while (true) {\n127\t const url = `${SEOMONITOR_BASE_URL}/rank-tracker/v3.0/keywords?campaign_id=${campaignId}&group_id=${folderId}&start_date=${startDate}&end_date=${endDate}&limit=${limit}&offset=${offset}`;\n128\t const response = await fetch(url, { headers: { 'Authorization': apiKey, 'Accept': 'application/json' } });\n129\t if (!response.ok) break;\n130\t const data = await response.json();\n131\t const kws = Array.isArray(data) ? data : (data.keywords || data.data || []);\n132\t if (!kws.length) break;\n133\t keywords.push(...kws);\n134\t if (kws.length < limit) break;\n135\t offset += limit;\n136\t await new Promise(r => setTimeout(r, 100));\n137\t }\n138\t return keywords;\n139\t}\n140\t\n141\tasync function fetchSEOMonitorDailyRanks(campaignId: number, keywordIds: number[], apiKey: string, startDate: string, endDate: string) {\n142\t const ranksMap = new Map();\n143\t keywordIds.forEach(id => ranksMap.set(id, { desktop: [], mobile: [] }));\n144\t if (!keywordIds.length) return ranksMap;\n145\t\n146\t const batchSize = 100;\n147\t for (let i = 0; i < keywordIds.length; i += batchSize) {\n148\t const batch = keywordIds.slice(i, i + batchSize);\n149\t const url = `${SEOMONITOR_BASE_URL}/rank-tracker/v3.0/keywords/daily-ranks?campaign_id=${campaignId}&keyword_ids=${batch.join(',')}&start_date=${startDate}&end_date=${endDate}`;\n150\t try {\n151\t const response = await fetch(url, { headers: { 'Authorization': apiKey, 'Accept': 'application/json' } });\n152\t if (!response.ok) continue;\n153\t const data = await response.json();\n154\t const items = Array.isArray(data) ? data : (data.data || []);\n155\t items.forEach((item: any) => {\n156\t const kwId = item.keyword_id;\n157\t if (!kwId) return;\n158\t const existing = ranksMap.get(kwId) || { desktop: [], mobile: [] };\n159\t if (item.ranking_data?.desktop && Array.isArray(item.ranking_data.desktop)) {\n160\t item.ranking_data.desktop.forEach((d: any) => { if (d.rank > 0) existing.desktop.push(d.rank); });\n161\t }\n162\t if (item.ranking_data?.mobile && Array.isArray(item.ranking_data.mobile)) {\n163\t item.ranking_data.mobile.forEach((d: any) => { if (d.rank > 0) existing.mobile.push(d.rank); });\n164\t }\n165\t ranksMap.set(kwId, existing);\n166\t });\n167\t } catch (e) {}\n168\t if (i + batchSize < keywordIds.length) await new Promise(r => setTimeout(r, 100));\n169\t }\n170\t return ranksMap;\n171\t}\n172\t\n173\tasync function fetchMonitorankKeywords(projectId: string, version: string, apiKey: string, group?: string) {\n174\t const url = `${MONITORANK_API_URL}?key=${encodeURIComponent(apiKey)}&module=query&action=list&id_project=${projectId}`;\n175\t const response = await fetch(url);\n176\t const data = await response.json();\n177\t if (!data.result) return [];\n178\t let filtered = (data.data || []).filter((kw: any) => kw.version === version);\n179\t if (group) {\n180\t filtered = filtered.filter((kw: any) => kw.groups?.some((g: any) => g.name === group));\n181\t }\n182\t return filtered;\n183\t}\n184\t\n185\tasync function fetchMonitorankRanks(apiKey: string, keywordId: string, startDate: string, endDate: string) {\n186\t const period = `${startDate.replace(/-/g, '')}-${endDate.replace(/-/g, '')}`;\n187\t const url = `${MONITORANK_API_URL}?key=${encodeURIComponent(apiKey)}&module=rank&action=get&id_query=${keywordId}&period=${period}`;\n188\t try {\n189\t const response = await fetch(url);\n190\t const data = await response.json();\n191\t if (!data.result) return [];\n192\t const results = data.data || [];\n193\t const positions: number[] = [];\n194\t results.filter((r: any) => r.url?.includes('emrahcinik.com') && r.type === 'natural').forEach((r: any) => {\n195\t Object.values(r.rank || {}).forEach((pos: any) => { if (pos > 0) positions.push(pos); });\n196\t });\n197\t return positions;\n198\t } catch (e) { return []; }\n199\t}\n200\t\n201\tfunction getP5Position(positions: number[]): number | null {\n202\t const valid = positions.filter(p => p > 0).sort((a, b) => a - b);\n203\t if (valid.length === 0) return null;\n204\t if (valid.length === 1) return valid[0];\n205\t const index = Math.floor(valid.length * 0.05);\n206\t return valid[index];\n207\t}\n208\t\n209\t/**\n210\t * GET /api/insights/export\n211\t * Complete data export with M-1, Y-1, keywords, LLM, 12-month context\n212\t */\n213\texport async function GET(request: NextRequest) {\n214\t try {\n215\t const session = await getServerSession(authOptions);\n216\t if (!session?.user?.id) {\n217\t return NextResponse.json({ error: 'Unauthorized' }, { status: 401 });\n218\t }\n219\t\n220\t const year = parseInt(request.nextUrl.searchParams.get('year') || '2025');\n221\t const month = parseInt(request.nextUrl.searchParams.get('month') || '12');\n222\t \n223\t const analytics = await getAnalyticsClient(session.user.id);\n224\t const searchConsole = await getSearchConsoleClient(session.user.id);\n225\t \n226\t // Date ranges\n227\t const { startDate, endDate } = getMonthBounds(year, month);\n228\t const m1Month = month === 1 ? 12 : month - 1;\n229\t const m1Year = month === 1 ? year - 1 : year;\n230\t const { startDate: m1Start, endDate: m1End } = getMonthBounds(m1Year, m1Month);\n231\t const { startDate: y1Start, endDate: y1End } = getMonthBounds(year - 1, month);\n232\t \n233\t // 12 months ago for yearly context\n234\t const yearlyStartDate = `${year - 1}-${String(month).padStart(2, '0')}-01`;\n235\t\n236\t // ===== 1. CHANNEL DATA (Current, M-1, Y-1) =====\n237\t const channelResponse = await analytics.properties.runReport({\n238\t property: `properties/${PROPERTY_ID}`,\n239\t requestBody: {\n240\t dateRanges: [\n241\t { startDate, endDate, name: 'current' },\n242\t { startDate: m1Start, endDate: m1End, name: 'm1' },\n243\t { startDate: y1Start, endDate: y1End, name: 'y1' },\n244\t ],\n245\t dimensions: [{ name: 'sessionDefaultChannelGroup' }],\n246\t metrics: [{ name: 'sessions' }, { name: 'conversions' }],\n247\t },\n248\t });\n249\t\n250\t const channels: Record = {};\n251\t (channelResponse.data.rows || []).forEach(row => {\n252\t const ch = normalizeChannelName(row.dimensionValues?.[0]?.value || 'Unknown');\n253\t const dr = row.dimensionValues?.[1]?.value || 'date_range_0';\n254\t const sess = parseInt(row.metricValues?.[0]?.value || '0');\n255\t const conv = parseInt(row.metricValues?.[1]?.value || '0');\n256\t if (!channels[ch]) channels[ch] = { current: 0, m1: 0, y1: 0, convCurrent: 0, convM1: 0, convY1: 0 };\n257\t if (dr === 'date_range_0' || dr === 'current') { channels[ch].current = sess; channels[ch].convCurrent = conv; }\n258\t else if (dr === 'date_range_1' || dr === 'm1') { channels[ch].m1 = sess; channels[ch].convM1 = conv; }\n259\t else { channels[ch].y1 = sess; channels[ch].convY1 = conv; }\n260\t });\n261\t\n262\t // ===== 2. 12-MONTH CHANNEL DATA =====\n263\t const monthlyResponse = await analytics.properties.runReport({\n264\t property: `properties/${PROPERTY_ID}`,\n265\t requestBody: {\n266\t dateRanges: [{ startDate: yearlyStartDate, endDate }],\n267\t dimensions: [{ name: 'yearMonth' }, { name: 'sessionDefaultChannelGroup' }],\n268\t metrics: [{ name: 'sessions' }, { name: 'conversions' }],\n269\t orderBys: [{ dimension: { dimensionName: 'yearMonth' } }],\n270\t },\n271\t });\n272\t\n273\t const monthlyData: Record> = {};\n274\t (monthlyResponse.data.rows || []).forEach(row => {\n275\t const ym = row.dimensionValues?.[0]?.value || '';\n276\t const ch = normalizeChannelName(row.dimensionValues?.[1]?.value || 'Unknown');\n277\t const sess = parseInt(row.metricValues?.[0]?.value || '0');\n278\t const conv = parseInt(row.metricValues?.[1]?.value || '0');\n279\t if (!monthlyData[ym]) monthlyData[ym] = {};\n280\t monthlyData[ym][ch] = { sessions: sess, conversions: conv };\n281\t });\n282\t\n283\t // ===== 3. SEARCH CONSOLE =====\n284\t const [scCurrent, scM1, scY1] = await Promise.all([\n285\t searchConsole.searchanalytics.query({ siteUrl: SITE_URL, requestBody: { startDate, endDate, type: 'web' } }),\n286\t searchConsole.searchanalytics.query({ siteUrl: SITE_URL, requestBody: { startDate: m1Start, endDate: m1End, type: 'web' } }),\n287\t searchConsole.searchanalytics.query({ siteUrl: SITE_URL, requestBody: { startDate: y1Start, endDate: y1End, type: 'web' } }),\n288\t ]);\n289\t const gsc = {\n290\t clicks: { current: scCurrent.data.rows?.[0]?.clicks || 0, m1: scM1.data.rows?.[0]?.clicks || 0, y1: scY1.data.rows?.[0]?.clicks || 0 },\n291\t impressions: { current: scCurrent.data.rows?.[0]?.impressions || 0, m1: scM1.data.rows?.[0]?.impressions || 0, y1: scY1.data.rows?.[0]?.impressions || 0 },\n292\t position: { current: scCurrent.data.rows?.[0]?.position || 0, m1: scM1.data.rows?.[0]?.position || 0, y1: scY1.data.rows?.[0]?.position || 0 },\n293\t ctr: { current: (scCurrent.data.rows?.[0]?.ctr || 0) * 100, m1: (scM1.data.rows?.[0]?.ctr || 0) * 100, y1: (scY1.data.rows?.[0]?.ctr || 0) * 100 },\n294\t };\n295\t\n296\t // ===== 4. DISCOVER =====\n297\t let discover = { clicks: { current: 0, m1: 0, y1: 0 }, impressions: { current: 0, m1: 0 }, ctr: { current: 0, m1: 0 } };\n298\t try {\n299\t const [dcCur, dcM1, dcY1] = await Promise.all([\n300\t searchConsole.searchanalytics.query({ siteUrl: SITE_URL, requestBody: { startDate, endDate, type: 'discover' } }),\n301\t searchConsole.searchanalytics.query({ siteUrl: SITE_URL, requestBody: { startDate: m1Start, endDate: m1End, type: 'discover' } }),\n302\t searchConsole.searchanalytics.query({ siteUrl: SITE_URL, requestBody: { startDate: y1Start, endDate: y1End, type: 'discover' } }),\n303\t ]);\n304\t discover = {\n305\t clicks: { current: dcCur.data.rows?.[0]?.clicks || 0, m1: dcM1.data.rows?.[0]?.clicks || 0, y1: dcY1.data.rows?.[0]?.clicks || 0 },\n306\t impressions: { current: dcCur.data.rows?.[0]?.impressions || 0, m1: dcM1.data.rows?.[0]?.impressions || 0 },\n307\t ctr: { current: (dcCur.data.rows?.[0]?.ctr || 0) * 100, m1: (dcM1.data.rows?.[0]?.ctr || 0) * 100 },\n308\t };\n309\t } catch (e) {}\n310\t\n311\t // ===== 5. ZOHO DATA =====\n312\t const [zohoC, zohoM1, zohoY1] = await Promise.all([\n313\t prisma.monthlyLead.findMany({ where: { month: new Date(Date.UTC(year, month - 1, 1)) } }),\n314\t prisma.monthlyLead.findMany({ where: { month: new Date(Date.UTC(m1Year, m1Month - 1, 1)) } }),\n315\t prisma.monthlyLead.findMany({ where: { month: new Date(Date.UTC(year - 1, month - 1, 1)) } }),\n316\t ]);\n317\t const zohoMap = { current: new Map(zohoC.map(l => [l.marketCode, l.leads])), m1: new Map(zohoM1.map(l => [l.marketCode, l.leads])), y1: new Map(zohoY1.map(l => [l.marketCode, l.leads])) };\n318\t\n319\t // ===== 6. MARKET DATA =====\n320\t const markets = await Promise.all(\n321\t PRIMARY_MARKETS.map(async code => {\n322\t const info = MARKET_PATHS[code];\n323\t try {\n324\t // US market uses country filter instead of path filter\n325\t const gscFilter = info.filterByCountry\n326\t ? { dimensionFilterGroups: [{ filters: [{ dimension: 'country', operator: 'equals', expression: info.filterByCountry }] }] }\n327\t : { dimensionFilterGroups: [{ filters: [{ dimension: 'page', operator: 'contains', expression: `emrahcinik.com${info.path}` }] }] };\n328\t \n329\t const [mcC, mcM1, mcY1] = await Promise.all([\n330\t searchConsole.searchanalytics.query({ siteUrl: SITE_URL, requestBody: { startDate, endDate, type: 'web', ...gscFilter } }),\n331\t searchConsole.searchanalytics.query({ siteUrl: SITE_URL, requestBody: { startDate: m1Start, endDate: m1End, type: 'web', ...gscFilter } }),\n332\t searchConsole.searchanalytics.query({ siteUrl: SITE_URL, requestBody: { startDate: y1Start, endDate: y1End, type: 'web', ...gscFilter } }),\n333\t ]);\n334\t \n335\t const hasZoho = ZOHO_MARKETS.includes(code);\n336\t const conv = hasZoho \n337\t ? { current: zohoMap.current.get(code) || 0, m1: zohoMap.m1.get(code) || 0, y1: zohoMap.y1.get(code) || 0 }\n338\t : { current: 0, m1: 0, y1: 0 };\n339\t\n340\t return {\n341\t code, name: info.name, flag: info.flag,\n342\t clicks: { current: mcC.data.rows?.[0]?.clicks || 0, m1: mcM1.data.rows?.[0]?.clicks || 0, y1: mcY1.data.rows?.[0]?.clicks || 0 },\n343\t position: { current: mcC.data.rows?.[0]?.position || 0, m1: mcM1.data.rows?.[0]?.position || 0, y1: mcY1.data.rows?.[0]?.position || 0 },\n344\t conversions: conv,\n345\t dataSource: hasZoho ? 'Zoho' : 'Analytics',\n346\t };\n347\t } catch (e) {\n348\t return { code, name: info.name, flag: info.flag, clicks: { current: 0, m1: 0, y1: 0 }, position: { current: 0, m1: 0, y1: 0 }, conversions: { current: 0, m1: 0, y1: 0 }, dataSource: 'N/A' };\n349\t }\n350\t })\n351\t );\n352\t\n353\t // ===== 7. SEMRUSH DATA =====\n354\t const semrushData: Record = {};\n355\t for (const code of ['en', 'fr', 'it', 'tr']) {\n356\t const data = await prisma.semrushRanking.findMany({ where: { marketCode: code }, orderBy: { month: 'asc' } });\n357\t semrushData[code] = data.map(r => ({\n358\t month: r.month.toISOString().split('T')[0].substring(0, 7),\n359\t top1_3: r.top1_3 || 0, top4_10: r.top4_10 || 0, top11_20: r.top11_20 || 0,\n360\t top10: (r.top1_3 || 0) + (r.top4_10 || 0),\n361\t total: (r.top1_3 || 0) + (r.top4_10 || 0) + (r.top11_20 || 0) + (r.top21_30 || 0) + (r.top31_40 || 0) + (r.top41_50 || 0) + (r.top51_60 || 0) + (r.top61_70 || 0) + (r.top71_80 || 0) + (r.top81_90 || 0) + (r.top91_100 || 0),\n362\t }));\n363\t }\n364\t\n365\t // ===== 8. KEYWORD RANKINGS (SEOMonitor + Monitorank) =====\n366\t const keywordsByMarket: Record = {};\n367\t \n368\t // Get API keys\n369\t const seomonitorConfig = await prisma.apiConfig.findUnique({ where: { provider: 'seomonitor' } });\n370\t const monitorankConfig = await prisma.apiConfig.findUnique({ where: { provider: 'monitorank' as any } });\n371\t const seomonitorApiKey = seomonitorConfig?.apiKeyEncrypted || process.env.SEOMONITOR_API_KEY;\n372\t const monitorankApiKey = monitorankConfig?.apiKeyEncrypted || process.env.MONITORANK_API_KEY;\n373\t\n374\t // SEOMonitor markets (EN, FR, IT, London)\n375\t if (seomonitorApiKey) {\n376\t for (const [marketCode, config] of Object.entries(SEOMONITOR_CAMPAIGNS)) {\n377\t try {\n378\t const keywords = await fetchSEOMonitorKeywords(config.campaignId, config.folderId, seomonitorApiKey, startDate, endDate);\n379\t const keywordIds = keywords.map((k: any) => k.keyword_id).filter(Boolean);\n380\t \n381\t const [currentRanks, prevRanks] = await Promise.all([\n382\t fetchSEOMonitorDailyRanks(config.campaignId, keywordIds, seomonitorApiKey, startDate, endDate),\n383\t fetchSEOMonitorDailyRanks(config.campaignId, keywordIds, seomonitorApiKey, m1Start, m1End),\n384\t ]);\n385\t\n386\t keywordsByMarket[marketCode] = keywords.map((kw: any) => {\n387\t const currentRank = currentRanks.get(kw.keyword_id);\n388\t const prevRank = prevRanks.get(kw.keyword_id);\n389\t\n390\t let medianDesktop = currentRank ? getP5Position(currentRank.desktop) : null;\n391\t let medianMobile = currentRank ? getP5Position(currentRank.mobile) : null;\n392\t const medianDesktopPrev = prevRank ? getP5Position(prevRank.desktop) : null;\n393\t const medianMobilePrev = prevRank ? getP5Position(prevRank.mobile) : null;\n394\t\n395\t // Fallback to API data\n396\t if (!medianDesktop && kw.ranking_data?.desktop?.rank) medianDesktop = kw.ranking_data.desktop.rank;\n397\t if (!medianMobile && kw.ranking_data?.mobile?.rank) medianMobile = kw.ranking_data.mobile.rank;\n398\t\n399\t const position = medianDesktop || medianMobile || null;\n400\t const positionPrev = medianDesktopPrev || medianMobilePrev || null;\n401\t const change = (position && positionPrev) ? positionPrev - position : null;\n402\t\n403\t return {\n404\t keyword: kw.keyword,\n405\t searchVolume: kw.search_data?.search_volume || null,\n406\t position,\n407\t positionPrev,\n408\t change,\n409\t isTarget: isTargetKeyword(kw.keyword),\n410\t source: 'SEOMonitor',\n411\t };\n412\t }).filter((k: any) => k.position !== null).sort((a: any, b: any) => (a.position || 999) - (b.position || 999));\n413\t } catch (e) {\n414\t console.error(`SEOMonitor error for ${marketCode}:`, e);\n415\t }\n416\t }\n417\t }\n418\t\n419\t // Monitorank markets (TR, HR, SR)\n420\t if (monitorankApiKey) {\n421\t for (const [marketCode, config] of Object.entries(MONITORANK_CAMPAIGNS)) {\n422\t try {\n423\t const keywords = await fetchMonitorankKeywords(config.projectId, config.version, monitorankApiKey, config.group);\n424\t const keywordMap = new Map();\n425\t \n426\t keywords.forEach((kw: any) => {\n427\t if (!keywordMap.has(kw.keywords)) {\n428\t keywordMap.set(kw.keywords, { keyword: kw.keywords, volume: parseInt(kw.volume) || null, id: kw.id_query });\n429\t }\n430\t });\n431\t\n432\t const results: any[] = [];\n433\t for (const [kwText, kwData] of Array.from(keywordMap.entries())) {\n434\t const [currentPositions, prevPositions] = await Promise.all([\n435\t fetchMonitorankRanks(monitorankApiKey, kwData.id, startDate, endDate),\n436\t fetchMonitorankRanks(monitorankApiKey, kwData.id, m1Start, m1End),\n437\t ]);\n438\t \n439\t const position = getP5Position(currentPositions);\n440\t const positionPrev = getP5Position(prevPositions);\n441\t const change = (position && positionPrev) ? positionPrev - position : null;\n442\t\n443\t results.push({\n444\t keyword: kwText,\n445\t searchVolume: kwData.volume,\n446\t position,\n447\t positionPrev,\n448\t change,\n449\t isTarget: isTargetKeyword(kwText),\n450\t source: 'Monitorank',\n451\t });\n452\t await new Promise(r => setTimeout(r, 50));\n453\t }\n454\t \n455\t keywordsByMarket[marketCode] = results.filter(k => k.position !== null).sort((a, b) => (a.position || 999) - (b.position || 999));\n456\t } catch (e) {\n457\t console.error(`Monitorank error for ${marketCode}:`, e);\n458\t }\n459\t }\n460\t }\n461\t\n462\t // US market: reuse the dedicated market API because it already handles\n463\t // Monitorank multi-city aggregation and M-1 comparison correctly.\n464\t try {\n465\t const usMarketUrl = new URL('/api/market/us', getInternalApiBaseUrl(request));\n466\t usMarketUrl.searchParams.set('year', String(year));\n467\t usMarketUrl.searchParams.set('month', String(month));\n468\t usMarketUrl.searchParams.set('compareMode', 'm-1');\n469\t usMarketUrl.searchParams.set('forceRefresh', 'true');\n470\t\n471\t const usMarketRes = await fetch(usMarketUrl.toString(), {\n472\t headers: {\n473\t cookie: request.headers.get('cookie') || '',\n474\t },\n475\t });\n476\t\n477\t if (usMarketRes.ok) {\n478\t const usMarketData = await usMarketRes.json();\n479\t keywordsByMarket.us = (usMarketData.keywords || [])\n480\t .map((kw: any) => ({\n481\t keyword: kw.keyword,\n482\t searchVolume: kw.searchVolume || null,\n483\t position: kw.position ?? kw.positionDesktop ?? kw.positionMobile ?? null,\n484\t positionPrev: kw.positionPrev ?? kw.positionDesktopPrev ?? kw.positionMobilePrev ?? null,\n485\t change: kw.positionChange ?? null,\n486\t isTarget: isTargetKeyword(kw.keyword),\n487\t source: 'Monitorank',\n488\t }))\n489\t .filter((k: any) => k.position !== null)\n490\t .sort((a: any, b: any) => (a.position || 999) - (b.position || 999));\n491\t }\n492\t } catch (e) {\n493\t console.error('US market export error:', e);\n494\t }\n495\t\n496\t // ===== 9. LLM TRAFFIC (Current, M-1, Y-1) =====\n497\t let llmData = {\n498\t total: {\n499\t current: 0,\n500\t m1: 0,\n501\t y1: 0,\n502\t conversionsCurrent: 0,\n503\t conversionsM1: 0,\n504\t conversionsY1: 0,\n505\t usersCurrent: 0,\n506\t engagedCurrent: 0,\n507\t conversionRateCurrent: 0,\n508\t conversionRateM1: 0,\n509\t conversionRateY1: 0,\n510\t engagementRateCurrent: 0,\n511\t shareOfTraffic: 0,\n512\t shareOfConversions: 0,\n513\t },\n514\t sources: [] as any[],\n515\t };\n516\t try {\n517\t // Build filter expressions for all LLM patterns\n518\t const llmFilterExpressions = [\n519\t { filter: { fieldName: 'sessionSource', stringFilter: { matchType: 'CONTAINS', value: 'chatgpt', caseSensitive: false } } },\n520\t { filter: { fieldName: 'sessionSource', stringFilter: { matchType: 'CONTAINS', value: 'openai', caseSensitive: false } } },\n521\t { filter: { fieldName: 'sessionSource', stringFilter: { matchType: 'CONTAINS', value: 'perplexity', caseSensitive: false } } },\n522\t { filter: { fieldName: 'sessionSource', stringFilter: { matchType: 'CONTAINS', value: 'claude', caseSensitive: false } } },\n523\t { filter: { fieldName: 'sessionSource', stringFilter: { matchType: 'CONTAINS', value: 'gemini.google', caseSensitive: false } } },\n524\t { filter: { fieldName: 'sessionSource', stringFilter: { matchType: 'CONTAINS', value: 'copilot', caseSensitive: false } } },\n525\t { filter: { fieldName: 'sessionSource', stringFilter: { matchType: 'CONTAINS', value: 'deepseek', caseSensitive: false } } },\n526\t { filter: { fieldName: 'sessionSource', stringFilter: { matchType: 'CONTAINS', value: 'mistral', caseSensitive: false } } },\n527\t { filter: { fieldName: 'sessionSource', stringFilter: { matchType: 'CONTAINS', value: 'meta.ai', caseSensitive: false } } },\n528\t { filter: { fieldName: 'sessionSource', stringFilter: { matchType: 'CONTAINS', value: 'poe.com', caseSensitive: false } } },\n529\t { filter: { fieldName: 'sessionSource', stringFilter: { matchType: 'CONTAINS', value: 'hugging', caseSensitive: false } } },\n530\t { filter: { fieldName: 'sessionSource', stringFilter: { matchType: 'EXACT', value: 'you.com', caseSensitive: false } } },\n531\t { filter: { fieldName: 'sessionSource', stringFilter: { matchType: 'CONTAINS', value: 'phind', caseSensitive: false } } },\n532\t { filter: { fieldName: 'sessionSource', stringFilter: { matchType: 'CONTAINS', value: 'cohere', caseSensitive: false } } },\n533\t { filter: { fieldName: 'sessionSource', stringFilter: { matchType: 'CONTAINS', value: 'groq', caseSensitive: false } } },\n534\t { filter: { fieldName: 'sessionSource', stringFilter: { matchType: 'CONTAINS', value: 'character.ai', caseSensitive: false } } },\n535\t { filter: { fieldName: 'sessionSource', stringFilter: { matchType: 'EXACT', value: 'pi.ai', caseSensitive: false } } },\n536\t ];\n537\t\n538\t const llmResponse = await analytics.properties.runReport({\n539\t property: `properties/${PROPERTY_ID}`,\n540\t requestBody: {\n541\t dateRanges: [\n542\t { startDate, endDate, name: 'current' },\n543\t { startDate: m1Start, endDate: m1End, name: 'm1' },\n544\t { startDate: y1Start, endDate: y1End, name: 'y1' },\n545\t ],\n546\t dimensions: [{ name: 'sessionSource' }],\n547\t metrics: [{ name: 'sessions' }, { name: 'conversions' }, { name: 'engagedSessions' }, { name: 'totalUsers' }],\n548\t dimensionFilter: { orGroup: { expressions: llmFilterExpressions } },\n549\t },\n550\t });\n551\t\n552\t const llmMap: Record = {};\n553\t (llmResponse.data.rows || []).forEach(row => {\n554\t const src = row.dimensionValues?.[0]?.value?.toLowerCase() || '';\n555\t const dr = row.dimensionValues?.[1]?.value || 'date_range_0';\n556\t const sess = parseInt(row.metricValues?.[0]?.value || '0');\n557\t const conv = parseInt(row.metricValues?.[1]?.value || '0');\n558\t const engaged = parseInt(row.metricValues?.[2]?.value || '0');\n559\t const users = parseInt(row.metricValues?.[3]?.value || '0');\n560\t \n561\t for (const llm of LLM_PATTERNS) {\n562\t if (llm.patterns.some(p => src.includes(p))) {\n563\t if (!llmMap[llm.id]) llmMap[llm.id] = { current: 0, m1: 0, y1: 0, convCurrent: 0, convM1: 0, convY1: 0, engagedCurrent: 0, usersCurrent: 0 };\n564\t if (dr === 'date_range_0' || dr === 'current') { llmMap[llm.id].current += sess; llmMap[llm.id].convCurrent += conv; llmMap[llm.id].engagedCurrent += engaged; llmMap[llm.id].usersCurrent += users; }\n565\t else if (dr === 'date_range_1' || dr === 'm1') { llmMap[llm.id].m1 += sess; llmMap[llm.id].convM1 += conv; }\n566\t else { llmMap[llm.id].y1 += sess; llmMap[llm.id].convY1 += conv; }\n567\t break;\n568\t }\n569\t }\n570\t });\n571\t\n572\t llmData.sources = LLM_PATTERNS.map(llm => {\n573\t const d = llmMap[llm.id];\n574\t if (!d) return null;\n575\t return {\n576\t name: llm.name,\n577\t sessions: d.current,\n578\t sessionsM1: d.m1,\n579\t sessionsY1: d.y1,\n580\t conversions: d.convCurrent,\n581\t conversionsM1: d.convM1,\n582\t conversionsY1: d.convY1,\n583\t conversionRate: d.current > 0 ? ((d.convCurrent / d.current) * 100).toFixed(2) + '%' : '0%',\n584\t engagementRate: d.current > 0 ? ((d.engagedCurrent / d.current) * 100).toFixed(1) + '%' : '0%',\n585\t users: d.usersCurrent,\n586\t };\n587\t }).filter((s): s is NonNullable => s !== null && (s.sessions > 0 || s.sessionsM1 > 0 || s.sessionsY1 > 0)).sort((a, b) => b.sessions - a.sessions);\n588\t \n589\t llmData.total = {\n590\t current: llmData.sources.reduce((s, x) => s + x.sessions, 0),\n591\t m1: llmData.sources.reduce((s, x) => s + x.sessionsM1, 0),\n592\t y1: llmData.sources.reduce((s, x) => s + x.sessionsY1, 0),\n593\t conversionsCurrent: llmData.sources.reduce((s, x) => s + x.conversions, 0),\n594\t conversionsM1: llmData.sources.reduce((s, x) => s + x.conversionsM1, 0),\n595\t conversionsY1: llmData.sources.reduce((s, x) => s + x.conversionsY1, 0),\n596\t usersCurrent: llmData.sources.reduce((s, x) => s + x.users, 0),\n597\t engagedCurrent: llmData.sources.reduce((s, x) => {\n598\t const sessions = Number(x.sessions || 0);\n599\t const rate = parseFloat(String(x.engagementRate || '0').replace('%', '')) || 0;\n600\t return s + Math.round((sessions * rate) / 100);\n601\t }, 0),\n602\t conversionRateCurrent: 0,\n603\t conversionRateM1: 0,\n604\t conversionRateY1: 0,\n605\t engagementRateCurrent: 0,\n606\t shareOfTraffic: 0,\n607\t shareOfConversions: 0,\n608\t };\n609\t\n610\t llmData.total.conversionRateCurrent = llmData.total.current > 0\n611\t ? (llmData.total.conversionsCurrent / llmData.total.current) * 100\n612\t : 0;\n613\t llmData.total.conversionRateM1 = llmData.total.m1 > 0\n614\t ? (llmData.total.conversionsM1 / llmData.total.m1) * 100\n615\t : 0;\n616\t llmData.total.conversionRateY1 = llmData.total.y1 > 0\n617\t ? (llmData.total.conversionsY1 / llmData.total.y1) * 100\n618\t : 0;\n619\t llmData.total.engagementRateCurrent = llmData.total.current > 0\n620\t ? (llmData.total.engagedCurrent / llmData.total.current) * 100\n621\t : 0;\n622\t } catch (e) {}\n623\t\n624\t // ===== BUILD RESPONSE =====\n625\t const organic = channels['Organic Search'] || { current: 0, m1: 0, y1: 0, convCurrent: 0, convM1: 0, convY1: 0 };\n626\t \n627\t // Sum all Zoho leads (excluding 'other' for SEO total - only primary SEO markets)\n628\t const seoMarkets = ['en', 'fr', 'it', 'london'];\n629\t const zohoTotal = {\n630\t current: seoMarkets.reduce((sum, m) => sum + (zohoMap.current.get(m) || 0), 0),\n631\t m1: seoMarkets.reduce((sum, m) => sum + (zohoMap.m1.get(m) || 0), 0),\n632\t y1: seoMarkets.reduce((sum, m) => sum + (zohoMap.y1.get(m) || 0), 0),\n633\t };\n634\t // All Zoho leads including 'other'\n635\t const zohoAll = {\n636\t current: Array.from(zohoMap.current.values()).reduce((sum, v) => sum + v, 0),\n637\t m1: Array.from(zohoMap.m1.values()).reduce((sum, v) => sum + v, 0),\n638\t y1: Array.from(zohoMap.y1.values()).reduce((sum, v) => sum + v, 0),\n639\t };\n640\t const totalSessions = Object.values(channels).reduce((s, c) => s + c.current, 0);\n641\t const totalConversions = Object.values(channels).reduce((s, c) => s + c.convCurrent, 0);\n642\t\n643\t llmData.total.shareOfTraffic = totalSessions > 0\n644\t ? (llmData.total.current / totalSessions) * 100\n645\t : 0;\n646\t llmData.total.shareOfConversions = totalConversions > 0\n647\t ? (llmData.total.conversionsCurrent / totalConversions) * 100\n648\t : 0;\n649\t\n650\t const reportMonth = `${MONTH_NAMES[month - 1]} ${year}`;\n651\t const m1Label = `${MONTH_NAMES[m1Month - 1]} ${m1Year}`;\n652\t const y1Label = `${MONTH_NAMES[month - 1]} ${year - 1}`;\n653\t\n654\t // Zoho breakdown by market for export\n655\t const zohoBreakdown = ['en', 'fr', 'it', 'london', 'other'].map(code => ({\n656\t code,\n657\t name: code === 'en' ? 'English 🇬🇧' : code === 'fr' ? 'French 🇫🇷' : code === 'it' ? 'Italian 🇮🇹' : code === 'london' ? 'London 🏴󠁧󠁢󠁥󠁮󠁧󠁿' : 'Other Markets',\n658\t current: zohoMap.current.get(code) || 0,\n659\t m1: zohoMap.m1.get(code) || 0,\n660\t y1: zohoMap.y1.get(code) || 0,\n661\t }));\n662\t\n663\t // Generate markdown\n664\t const md = generateMarkdown({\n665\t reportMonth, m1Label, y1Label,\n666\t organic, zohoTotal, zohoAll, zohoBreakdown, gsc, discover, channels, markets, semrushData, llmData, monthlyData, totalSessions, keywordsByMarket,\n667\t });\n668\t\n669\t return NextResponse.json({\n670\t markdown: md,\n671\t data: { reportMonth, m1Label, y1Label, organic, zohoTotal, zohoAll, zohoBreakdown, gsc, discover, channels, markets, semrushData, llmData, monthlyData, totalSessions, keywordsByMarket },\n672\t });\n673\t } catch (error) {\n674\t console.error('Error:', error);\n675\t return NextResponse.json({ error: error instanceof Error ? error.message : 'Export failed' }, { status: 500 });\n676\t }\n677\t}\n678\t\n679\tfunction generateMarkdown(d: any): string {\n680\t const { reportMonth, m1Label, y1Label, organic, zohoTotal, zohoAll, zohoBreakdown, gsc, discover, channels, markets, semrushData, llmData, monthlyData, totalSessions, keywordsByMarket } = d;\n681\t\n682\t let md = `# CINIK-DASH Monthly Data Export\n683\t## ${reportMonth}\n684\t\n685\t---\n686\t\n687\t## 1. REPORT CONTEXT\n688\t\n689\t| Period | Label |\n690\t|--------|-------|\n691\t| **Report Month** | ${reportMonth} |\n692\t| **M-1 (Previous Month)** | ${m1Label} |\n693\t| **Y-1 (Same Month Last Year)** | ${y1Label} |\n694\t| **Website** | emrahcinik.com |\n695\t| **Business** | Dr. Cinik Hair Transplant Clinic, Istanbul |\n696\t\n697\t---\n698\t\n699\t## 2. KEY PERFORMANCE INDICATORS\n700\t\n701\t### 2.1 Traffic & Conversions\n702\t\n703\t| KPI | Current | M-1 | M-1 Change | Y-1 | Y-1 Change |\n704\t|-----|---------|-----|------------|-----|------------|\n705\t| **SEO Sessions (Organic)** | ${formatNum(organic.current)} | ${formatNum(organic.m1)} | ${formatChange(calcChange(organic.current, organic.m1))} | ${formatNum(organic.y1)} | ${formatChange(calcChange(organic.current, organic.y1))} |\n706\t| **SEO Leads (Zoho EN+FR+IT+London)** | ${formatNum(zohoTotal.current)} | ${formatNum(zohoTotal.m1)} | ${formatChange(calcChange(zohoTotal.current, zohoTotal.m1))} | ${formatNum(zohoTotal.y1)} | ${formatChange(calcChange(zohoTotal.current, zohoTotal.y1))} |\n707\t| **All Zoho Leads (incl. Other)** | ${formatNum(zohoAll.current)} | ${formatNum(zohoAll.m1)} | ${formatChange(calcChange(zohoAll.current, zohoAll.m1))} | ${formatNum(zohoAll.y1)} | ${formatChange(calcChange(zohoAll.current, zohoAll.y1))} |\n708\t| **SEO Conversion Rate** | ${(organic.current > 0 ? (zohoTotal.current / organic.current) * 100 : 0).toFixed(2)}% | ${(organic.m1 > 0 ? (zohoTotal.m1 / organic.m1) * 100 : 0).toFixed(2)}% | - | ${(organic.y1 > 0 ? (zohoTotal.y1 / organic.y1) * 100 : 0).toFixed(2)}% | - |\n709\t| **Total Site Sessions** | ${formatNum(totalSessions)} | - | - | - | - |\n710\t\n711\t### 2.2 Search Console Metrics\n712\t\n713\t| Metric | Current | M-1 | M-1 Change | Y-1 | Y-1 Change |\n714\t|--------|---------|-----|------------|-----|------------|\n715\t| **Clicks** | ${formatNum(gsc.clicks.current)} | ${formatNum(gsc.clicks.m1)} | ${formatChange(calcChange(gsc.clicks.current, gsc.clicks.m1))} | ${formatNum(gsc.clicks.y1)} | ${formatChange(calcChange(gsc.clicks.current, gsc.clicks.y1))} |\n716\t| **Impressions** | ${formatNum(gsc.impressions.current)} | ${formatNum(gsc.impressions.m1)} | ${formatChange(calcChange(gsc.impressions.current, gsc.impressions.m1))} | ${formatNum(gsc.impressions.y1)} | ${formatChange(calcChange(gsc.impressions.current, gsc.impressions.y1))} |\n717\t| **Avg Position** | ${gsc.position.current.toFixed(1)} | ${gsc.position.m1.toFixed(1)} | ${formatChange(calcChange(gsc.position.m1, gsc.position.current))} | ${gsc.position.y1.toFixed(1)} | ${formatChange(calcChange(gsc.position.y1, gsc.position.current))} |\n718\t| **CTR** | ${gsc.ctr.current.toFixed(2)}% | ${gsc.ctr.m1.toFixed(2)}% | ${formatChange(calcChange(gsc.ctr.current, gsc.ctr.m1))} | ${gsc.ctr.y1.toFixed(2)}% | ${formatChange(calcChange(gsc.ctr.current, gsc.ctr.y1))} |\n719\t\n720\t### 2.3 Google Discover\n721\t\n722\t| Metric | Current | M-1 | M-1 Change | Y-1 | Y-1 Change |\n723\t|--------|---------|-----|------------|-----|------------|\n724\t| **Clicks** | ${formatNum(discover.clicks.current)} | ${formatNum(discover.clicks.m1)} | ${formatChange(calcChange(discover.clicks.current, discover.clicks.m1))} | ${formatNum(discover.clicks.y1)} | ${formatChange(calcChange(discover.clicks.current, discover.clicks.y1))} |\n725\t| **Impressions** | ${formatNum(discover.impressions.current)} | ${formatNum(discover.impressions.m1)} | ${formatChange(calcChange(discover.impressions.current, discover.impressions.m1))} | - | - |\n726\t| **CTR** | ${discover.ctr.current.toFixed(2)}% | ${discover.ctr.m1.toFixed(2)}% | ${formatChange(calcChange(discover.ctr.current, discover.ctr.m1))} | - | - |\n727\t\n728\t---\n729\t\n730\t## 3. TRAFFIC BY CHANNEL\n731\t\n732\t| Channel | Sessions | M-1 | Change | Conversions | Conv. M-1 | Conv. Change |\n733\t|---------|----------|-----|--------|-------------|-----------|--------------|\n734\t${Object.entries(channels).sort((a, b) => (b[1] as any).current - (a[1] as any).current).map(([name, data]: [string, any]) => \n735\t `| ${name} | ${formatNum(data.current)} | ${formatNum(data.m1)} | ${formatChange(calcChange(data.current, data.m1))} | ${formatNum(data.convCurrent)} | ${formatNum(data.convM1)} | ${formatChange(calcChange(data.convCurrent, data.convM1))} |`\n736\t).join('\\n')}\n737\t\n738\t---\n739\t\n740\t## 4. MARKET PERFORMANCE\n741\t\n742\t| Market | Flag | Clicks | M-1 Δ | Y-1 Δ | Position | Pos. M-1 Δ | Conversions | Conv. M-1 Δ | Source |\n743\t|--------|------|--------|-------|-------|----------|------------|-------------|-------------|--------|\n744\t${markets.sort((a: any, b: any) => b.clicks.current - a.clicks.current).map((m: any) => \n745\t `| ${m.name} | ${m.flag} | ${formatNum(m.clicks.current)} | ${formatChange(calcChange(m.clicks.current, m.clicks.m1))} | ${formatChange(calcChange(m.clicks.current, m.clicks.y1))} | ${m.position.current.toFixed(1)} | ${formatChange(calcChange(m.position.m1, m.position.current))} | ${formatNum(m.conversions.current)} | ${formatChange(calcChange(m.conversions.current, m.conversions.m1))} | ${m.dataSource} |`\n746\t).join('\\n')}\n747\t\n748\t---\n749\t\n750\t## 5. TRACKED KEYWORD RANKINGS (Min Position vs M-1)\n751\t\n752\t${generateKeywordsSection(keywordsByMarket)}\n753\t\n754\t---\n755\t\n756\t## 6. SEMRUSH RANKING DISTRIBUTION\n757\t\n758\t### 6.1 English Market\n759\t${generateSemrushTable(semrushData.en || [])}\n760\t\n761\t### 6.2 French Market\n762\t${generateSemrushTable(semrushData.fr || [])}\n763\t\n764\t### 6.3 Italian Market\n765\t${generateSemrushTable(semrushData.it || [])}\n766\t\n767\t### 6.4 Turkish Market\n768\t${generateSemrushTable(semrushData.tr || [])}\n769\t\n770\t---\n771\t\n772\t## 7. ZOHO CRM LEADS BREAKDOWN\n773\t\n774\t| Market | Current | M-1 | Change | Y-1 | Y-1 Change |\n775\t|--------|---------|-----|--------|-----|------------|\n776\t${zohoBreakdown.map((z: any) => `| ${z.name} | ${formatNum(z.current)} | ${formatNum(z.m1)} | ${formatChange(calcChange(z.current, z.m1))} | ${formatNum(z.y1)} | ${formatChange(calcChange(z.current, z.y1))} |`).join('\\n')}\n777\t| **TOTAL** | **${formatNum(zohoAll.current)}** | **${formatNum(zohoAll.m1)}** | **${formatChange(calcChange(zohoAll.current, zohoAll.m1))}** | **${formatNum(zohoAll.y1)}** | **${formatChange(calcChange(zohoAll.current, zohoAll.y1))}** |\n778\t\n779\t---\n780\t\n781\t## 8. LLM TRAFFIC (AI Referrals)\n782\t\n783\t### 8.1 LLM Summary\n784\t\n785\t| KPI | Current | M-1 | M-1 Change | Y-1 | Y-1 Change |\n786\t|-----|---------|-----|------------|-----|------------|\n787\t| **LLM Sessions** | ${formatNum(llmData.total.current)} | ${formatNum(llmData.total.m1)} | ${formatChange(calcChange(llmData.total.current, llmData.total.m1))} | ${formatNum(llmData.total.y1)} | ${formatChange(calcChange(llmData.total.current, llmData.total.y1))} |\n788\t| **LLM Conversions** | ${formatNum(llmData.total.conversionsCurrent)} | ${formatNum(llmData.total.conversionsM1)} | ${formatChange(calcChange(llmData.total.conversionsCurrent, llmData.total.conversionsM1))} | ${formatNum(llmData.total.conversionsY1)} | ${formatChange(calcChange(llmData.total.conversionsCurrent, llmData.total.conversionsY1))} |\n789\t| **LLM Conversion Rate** | ${llmData.total.conversionRateCurrent.toFixed(2)}% | ${llmData.total.conversionRateM1.toFixed(2)}% | - | ${llmData.total.conversionRateY1.toFixed(2)}% | - |\n790\t| **LLM Share of Total Traffic** | ${llmData.total.shareOfTraffic.toFixed(2)}% | - | - | - | - |\n791\t| **LLM Share of Total Conversions** | ${llmData.total.shareOfConversions.toFixed(2)}% | - | - | - | - |\n792\t| **LLM Users** | ${formatNum(llmData.total.usersCurrent)} | - | - | - | - |\n793\t| **LLM Engagement Rate** | ${llmData.total.engagementRateCurrent.toFixed(1)}% | - | - | - | - |\n794\t\n795\t| Source | Sessions | M-1 | M-1 Change | Y-1 | Y-1 Change | Conv. | Conv. Rate | Engagement | Users |\n796\t|--------|----------|-----|------------|-----|------------|-------|------------|------------|-------|\n797\t${llmData.sources.map((s: any) => \n798\t `| ${s.name} | ${formatNum(s.sessions)} | ${formatNum(s.sessionsM1)} | ${formatChange(calcChange(s.sessions, s.sessionsM1))} | ${formatNum(s.sessionsY1 || 0)} | ${formatChange(calcChange(s.sessions, s.sessionsY1 || 0))} | ${formatNum(s.conversions)} | ${s.conversionRate} | ${s.engagementRate} | ${formatNum(s.users)} |`\n799\t).join('\\n')}\n800\t| **TOTAL LLM** | **${formatNum(llmData.total.current)}** | **${formatNum(llmData.total.m1)}** | **${formatChange(calcChange(llmData.total.current, llmData.total.m1))}** | **${formatNum(llmData.total.y1)}** | **${formatChange(calcChange(llmData.total.current, llmData.total.y1))}** | **${formatNum(llmData.total.conversionsCurrent)}** | **${llmData.total.conversionRateCurrent.toFixed(2)}%** | **${llmData.total.engagementRateCurrent.toFixed(1)}%** | **${formatNum(llmData.total.usersCurrent)}** |\n801\t\n802\t**LLM Share of Total Traffic**: ${llmData.total.shareOfTraffic.toFixed(2)}%\n803\t\n804\t**LLM Share of Total Conversions**: ${llmData.total.shareOfConversions.toFixed(2)}%\n805\t\n806\t### Key LLM Insights for Analysis:\n807\t- Total LLM sessions: ${formatNum(llmData.total.current)} (${llmData.total.shareOfTraffic.toFixed(2)}% of total traffic)\n808\t- Total LLM conversions: ${formatNum(llmData.total.conversionsCurrent)} (${llmData.total.shareOfConversions.toFixed(2)}% of all site conversions)\n809\t- LLM conversion rate: ${llmData.total.conversionRateCurrent.toFixed(2)}%\n810\t- M-1 trend: ${formatChange(calcChange(llmData.total.current, llmData.total.m1))} vs previous month\n811\t- Y-1 trend: ${formatChange(calcChange(llmData.total.current, llmData.total.y1))} vs same month last year\n812\t- Top source: ${llmData.sources[0]?.name || 'N/A'} (${formatNum(llmData.sources[0]?.sessions || 0)} sessions)\n813\t- ${llmData.sources.length} active LLM sources detected\n814\t\n815\t---\n816\t\n817\t## 9. 12-MONTH TREND (Sessions by Channel)\n818\t\n819\t| Month | Organic Search | Paid Search | Direct | Referral | Social |\n820\t|-------|----------------|-------------|--------|----------|--------|\n821\t${Object.entries(monthlyData).sort((a, b) => a[0].localeCompare(b[0])).slice(-13).map(([ym, chData]: [string, any]) => {\n822\t const formattedMonth = `${ym.substring(0, 4)}-${ym.substring(4, 6)}`;\n823\t return `| ${formattedMonth} | ${formatNum(chData['Organic Search']?.sessions || 0)} | ${formatNum(chData['Paid Search']?.sessions || 0)} | ${formatNum(chData['Direct']?.sessions || 0)} | ${formatNum(chData['Referral']?.sessions || 0)} | ${formatNum((chData['Paid Social']?.sessions || 0) + (chData['Organic Social']?.sessions || 0))} |`;\n824\t}).join('\\n')}\n825\t\n826\t---\n827\t\n828\t## 10. SIGNIFICANT TRENDS DETECTED\n829\t\n830\t${generateTrends(d)}\n831\t\n832\t---\n833\t\n834\t*Generated: ${new Date().toISOString()}*\n835\t`;\n836\t\n837\t return md;\n838\t}\n839\t\n840\tfunction generateKeywordsSection(keywordsByMarket: Record): string {\n841\t const marketNames: Record = {\n842\t en: { name: 'English', flag: '🇬🇧' },\n843\t fr: { name: 'French', flag: '🇫🇷' },\n844\t it: { name: 'Italian', flag: '🇮🇹' },\n845\t london: { name: 'London', flag: '🏴󠁧󠁢󠁥󠁮󠁧󠁿' },\n846\t tr: { name: 'Turkish', flag: '🇹🇷' },\n847\t hr: { name: 'Croatian', flag: '🇭🇷' },\n848\t sr: { name: 'Serbian', flag: '🇷🇸' },\n849\t us: { name: 'United States', flag: '🇺🇸' },\n850\t };\n851\t\n852\t let md = '';\n853\t const marketOrder = ['en', 'fr', 'it', 'tr', 'london', 'hr', 'sr', 'us'];\n854\t\n855\t for (const code of marketOrder) {\n856\t const keywords = keywordsByMarket[code];\n857\t if (!keywords || !keywords.length) continue;\n858\t\n859\t const info = marketNames[code] || { name: code.toUpperCase(), flag: '🌍' };\n860\t md += `### ${info.flag} ${info.name} Market (${keywords[0]?.source || 'N/A'})\\n\\n`;\n861\t md += `| Target | Keyword | Volume | Position | M-1 | Change |\\n`;\n862\t md += `|--------|---------|--------|----------|-----|--------|\\n`;\n863\t\n864\t // Sort: target keywords first, then by position\n865\t const sorted = [...keywords].sort((a, b) => {\n866\t if (a.isTarget && !b.isTarget) return -1;\n867\t if (!a.isTarget && b.isTarget) return 1;\n868\t return (a.position || 999) - (b.position || 999);\n869\t });\n870\t\n871\t // Show top 20 or all target keywords\n872\t const toShow = sorted.slice(0, 25);\n873\t \n874\t for (const kw of toShow) {\n875\t const targetMarker = kw.isTarget ? '⭐' : '';\n876\t const volume = kw.searchVolume ? formatNum(kw.searchVolume) : '-';\n877\t const pos = kw.position ? kw.position.toString() : '-';\n878\t const posPrev = kw.positionPrev ? kw.positionPrev.toString() : '-';\n879\t let changeStr = '-';\n880\t if (kw.change !== null) {\n881\t if (kw.change > 0) changeStr = `↑ +${kw.change}`;\n882\t else if (kw.change < 0) changeStr = `↓ ${kw.change}`;\n883\t else changeStr = '=';\n884\t }\n885\t md += `| ${targetMarker} | ${kw.keyword} | ${volume} | ${pos} | ${posPrev} | ${changeStr} |\\n`;\n886\t }\n887\t\n888\t // Summary stats\n889\t const improved = keywords.filter((k: any) => k.change && k.change > 0).length;\n890\t const declined = keywords.filter((k: any) => k.change && k.change < 0).length;\n891\t const top3 = keywords.filter((k: any) => k.position && k.position <= 3).length;\n892\t const top10 = keywords.filter((k: any) => k.position && k.position <= 10).length;\n893\t\n894\t md += `\\n**Stats**: ${keywords.length} tracked | Top 3: ${top3} | Top 10: ${top10} | Improved: ${improved} | Declined: ${declined}\\n\\n`;\n895\t }\n896\t\n897\t return md || '*No keyword data available*\\n';\n898\t}\n899\t\n900\tfunction generateSemrushTable(data: any[]): string {\n901\t if (!data.length) return '*No data available*\\n';\n902\t \n903\t const last6 = data.slice(-6);\n904\t if (!last6.length) return '*No data available*\\n';\n905\t \n906\t let table = '| Month | Top 1-3 | Top 4-10 | Top 10 Total | Top 100 Total |\\n';\n907\t table += '|-------|---------|----------|--------------|---------------|\\n';\n908\t \n909\t for (let i = 0; i < last6.length; i++) {\n910\t const curr = last6[i];\n911\t const prev = i > 0 ? last6[i - 1] : null;\n912\t \n913\t const t3Change = prev ? curr.top1_3 - prev.top1_3 : 0;\n914\t const t10Change = prev ? curr.top10 - prev.top10 : 0;\n915\t \n916\t table += `| ${curr.month} | ${curr.top1_3} (${t3Change >= 0 ? '+' : ''}${t3Change}) | ${curr.top4_10} | ${curr.top10} (${t10Change >= 0 ? '+' : ''}${t10Change}) | ${curr.total} |\\n`;\n917\t }\n918\t \n919\t return table;\n920\t}\n921\t\n922\tfunction generateTrends(d: any): string {\n923\t const trends: string[] = [];\n924\t const { organic, zohoTotal, gsc, discover, markets, llmData } = d;\n925\t\n926\t // Organic traffic\n927\t const orgChange = calcChange(organic.current, organic.m1);\n928\t if (Math.abs(orgChange) >= 5) {\n929\t trends.push(`- **Organic Sessions**: ${orgChange > 0 ? '↑ UP' : '↓ DOWN'} ${Math.abs(orgChange).toFixed(1)}% vs M-1 (${formatNum(organic.current)} vs ${formatNum(organic.m1)})`);\n930\t }\n931\t\n932\t // Conversions\n933\t const convChange = calcChange(zohoTotal.current, zohoTotal.m1);\n934\t if (Math.abs(convChange) >= 5) {\n935\t trends.push(`- **SEO Conversions**: ${convChange > 0 ? '↑ UP' : '↓ DOWN'} ${Math.abs(convChange).toFixed(1)}% vs M-1 (${formatNum(zohoTotal.current)} vs ${formatNum(zohoTotal.m1)})`);\n936\t }\n937\t\n938\t // Position\n939\t const posChange = calcChange(gsc.position.m1, gsc.position.current);\n940\t if (Math.abs(posChange) >= 3) {\n941\t trends.push(`- **Avg Position**: ${posChange > 0 ? '↑ IMPROVED' : '↓ DECLINED'} from ${gsc.position.m1.toFixed(1)} to ${gsc.position.current.toFixed(1)}`);\n942\t }\n943\t\n944\t // Discover\n945\t const discChange = calcChange(discover.clicks.current, discover.clicks.m1);\n946\t if (Math.abs(discChange) >= 10) {\n947\t trends.push(`- **Google Discover**: ${discChange > 0 ? '↑ UP' : '↓ DOWN'} ${Math.abs(discChange).toFixed(1)}% vs M-1`);\n948\t }\n949\t\n950\t // Markets\n951\t markets.forEach((m: any) => {\n952\t const mChange = calcChange(m.clicks.current, m.clicks.m1);\n953\t if (Math.abs(mChange) >= 15) {\n954\t trends.push(`- **${m.flag} ${m.name}**: ${mChange > 0 ? '↑ UP' : '↓ DOWN'} ${Math.abs(mChange).toFixed(1)}% clicks vs M-1`);\n955\t }\n956\t });\n957\t\n958\t // LLM\n959\t const llmChange = calcChange(llmData.total.current, llmData.total.m1);\n960\t const llmChangeY1 = calcChange(llmData.total.current, llmData.total.y1 || 0);\n961\t if (Math.abs(llmChange) >= 10 || llmData.total.current >= 1000) {\n962\t trends.push(`- **LLM Traffic**: ${llmChange > 0 ? '↑ UP' : '↓ DOWN'} ${Math.abs(llmChange).toFixed(1)}% vs M-1 (${formatNum(llmData.total.current)} sessions)`);\n963\t }\n964\t if (llmData.total.y1 > 0 && Math.abs(llmChangeY1) >= 20) {\n965\t trends.push(`- **LLM Traffic Y-1**: ${llmChangeY1 > 0 ? '↑ UP' : '↓ DOWN'} ${Math.abs(llmChangeY1).toFixed(1)}% vs same month last year`);\n966\t } else if (llmData.total.current > 0 && (!llmData.total.y1 || llmData.total.y1 === 0)) {\n967\t trends.push(`- **LLM Traffic Y-1**: NEW — no LLM traffic existed same month last year`);\n968\t }\n969\t\n970\t return trends.length > 0 ? trends.join('\\n') : '- No significant trends detected (variations < threshold)';\n971\t}\n972\t"}]},"uuid":"01656fa7-30d8-4d6c-b717-e37f8d30d277","timestamp":"2026-06-07T16:48:41.392Z","sourceToolAssistantUUID":"d1cac551-a100-429b-8939-b2b2b1903e5b","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"01656fa7-30d8-4d6c-b717-e37f8d30d277","isSidechain":true,"agentId":"aedeb51937c6cb90c","message":{"model":"claude-haiku-4-5-20251001","id":"msg_019pfUCf9W142ogz4w77GSQw","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me continue reading the remaining critical routes for competitors, sync, and data import:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":26314,"cache_read_input_tokens":28838,"cache_creation":{"ephemeral_5m_input_tokens":26314,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEyDDDB9gw1VooiPAmd","attributionAgent":"Explore","type":"assistant","uuid":"ddc28bea-e772-4b25-8a21-d6bc4110f9d4","timestamp":"2026-06-07T16:48:44.071Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"ddc28bea-e772-4b25-8a21-d6bc4110f9d4","isSidechain":true,"agentId":"aedeb51937c6cb90c","message":{"model":"claude-haiku-4-5-20251001","id":"msg_019pfUCf9W142ogz4w77GSQw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PhcFeY6WsGE2MQbWEotAdt","name":"Read","input":{"file_path":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/competitors/overview/route.ts","limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":26314,"cache_read_input_tokens":28838,"cache_creation":{"ephemeral_5m_input_tokens":26314,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEyDDDB9gw1VooiPAmd","attributionAgent":"Explore","type":"assistant","uuid":"dc6ba9ba-6f2d-408c-a2f8-a3d723995d2b","timestamp":"2026-06-07T16:48:44.943Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"dc6ba9ba-6f2d-408c-a2f8-a3d723995d2b","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"aedeb51937c6cb90c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PhcFeY6WsGE2MQbWEotAdt","type":"tool_result","content":"1\timport { NextRequest, NextResponse } from 'next/server';\n2\timport { prisma } from '@/lib/prisma';\n3\timport { Prisma } from '@prisma/client';\n4\timport { TARGET_MARKETS } from '@/lib/competitors-utils';\n5\timport type { CompetitorOverviewData, CompetitorMarket } from '@/types/competitors';\n6\t\n7\t// Patterns to exclude (blog index pages, not actual posts)\n8\tconst EXCLUDED_URL_PATTERNS = [\n9\t /\\/blog\\/?$/, // /blog or /blog/\n10\t /\\/blog\\/page\\/\\d+/, // /blog/page/2\n11\t /\\/category\\//, // /category/...\n12\t /\\/tag\\//, // /tag/...\n13\t /\\/author\\//, // /author/...\n14\t];\n15\t\n16\t// Languages to EXCLUDE (not EN/FR/IT)\n17\tconst EXCLUDED_LANG_PATTERNS = [\n18\t /\\/(es|de|pt|tr|nl|pl|ru|ar|bg|cs|el|fa|lt|ro|sv|gr|cz|se|hu|sk|da|no|fi|uk|he|ja|ko|zh|th|vi|id|ms)\\//i,\n19\t];\n20\t\n21\tfunction isValidPostUrl(url: string): boolean {\n22\t if (EXCLUDED_URL_PATTERNS.some(pattern => pattern.test(url))) return false;\n23\t if (EXCLUDED_LANG_PATTERNS.some(pattern => pattern.test(url))) return false;\n24\t return true;\n25\t}\n26\t\n27\t// GET /api/competitors/overview - Get aggregated overview stats\n28\texport async function GET(request: NextRequest) {\n29\t try {\n30\t const url = new URL(request.url);\n31\t const period = url.searchParams.get('period') || 'last-month';\n32\t\n33\t // Calculate date range - use previous calendar month\n34\t const now = new Date();\n35\t let startDate: Date;\n36\t let endDate: Date;\n37\t let label: string;\n38\t\n39\t switch (period) {\n40\t case 'last-3-months':\n41\t startDate = new Date(Date.UTC(now.getFullYear(), now.getMonth() - 3, 1, 0, 0, 0));\n42\t endDate = new Date(Date.UTC(now.getFullYear(), now.getMonth(), 0, 23, 59, 59, 999)); // Last day of previous month end of day\n43\t label = 'Last 3 months';\n44\t break;\n45\t case 'last-month':\n46\t default:\n47\t // Previous calendar month (December 2025 if we're in January 2026)\n48\t startDate = new Date(Date.UTC(now.getFullYear(), now.getMonth() - 1, 1, 0, 0, 0));\n49\t endDate = new Date(Date.UTC(now.getFullYear(), now.getMonth(), 0, 23, 59, 59, 999)); // Last day of previous month end of day\n50\t label = startDate.toLocaleDateString('en-US', { month: 'long', year: 'numeric' });\n51\t break;\n52\t }\n53\t\n54\t // Base filter: target markets + valid publishedDate in period\n55\t const baseFilter = {\n56\t market: { in: TARGET_MARKETS as unknown as string[] },\n57\t publishedDate: { gte: startDate, lte: endDate },\n58\t };\n59\t\n60\t // Get all competitors\n61\t const competitors = await prisma.competitor.findMany({\n62\t where: { isActive: true },\n63\t });\n64\t\n65\t // Get posts truly published in period\n66\t const allPostsInPeriod = await prisma.competitorPost.findMany({\n67\t where: baseFilter,\n68\t select: { id: true, url: true, competitorId: true, market: true, publishedDate: true },\n69\t });\n70\t\n71\t // Filter out index pages\n72\t const validPosts = allPostsInPeriod.filter(p => isValidPostUrl(p.url));\n73\t const validPostIds = validPosts.map(p => p.id);\n74\t\n75\t // Count by competitor\n76\t const postsByCompetitor: Record = {};\n77\t const postsByMarket: Record = { en: 0, fr: 0, it: 0 };\n78\t \n79\t validPosts.forEach(p => {\n80\t postsByCompetitor[p.competitorId] = (postsByCompetitor[p.competitorId] || 0) + 1;\n81\t postsByMarket[p.market] = (postsByMarket[p.market] || 0) + 1;\n82\t });\n83\t\n84\t // Find most active\n85\t let mostActiveCompId: number | null = null;\n86\t let mostActiveCompCount = 0;\n87\t Object.entries(postsByCompetitor).forEach(([id, count]) => {\n88\t if (count > mostActiveCompCount) {\n89\t mostActiveCompId = parseInt(id);\n90\t mostActiveCompCount = count;\n91\t }\n92\t });\n93\t const mostActiveComp = mostActiveCompId ? competitors.find(c => c.id === mostActiveCompId) : null;\n94\t\n95\t // Most active market\n96\t const mostActiveMarket = Object.entries(postsByMarket).sort((a, b) => b[1] - a[1])[0];\n97\t\n98\t // Build by-competitor stats\n99\t const byCompetitor = competitors.map(comp => {\n100\t const compPosts = validPosts.filter(p => p.competitorId === comp.id);"}]},"uuid":"dc8504e7-e7bb-4168-8829-7d5e994cbb75","timestamp":"2026-06-07T16:48:44.961Z","sourceToolAssistantUUID":"dc6ba9ba-6f2d-408c-a2f8-a3d723995d2b","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"dc8504e7-e7bb-4168-8829-7d5e994cbb75","isSidechain":true,"agentId":"aedeb51937c6cb90c","message":{"model":"claude-haiku-4-5-20251001","id":"msg_019pfUCf9W142ogz4w77GSQw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DoorcqHMumQStUU33KppTv","name":"Read","input":{"file_path":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/competitors/[slug]/backlinks/route.ts","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":26314,"cache_read_input_tokens":28838,"cache_creation":{"ephemeral_5m_input_tokens":26314,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEyDDDB9gw1VooiPAmd","attributionAgent":"Explore","type":"assistant","uuid":"7aa82ee5-cb2e-4ef4-b70d-402653475877","timestamp":"2026-06-07T16:48:45.374Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"7aa82ee5-cb2e-4ef4-b70d-402653475877","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"aedeb51937c6cb90c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DoorcqHMumQStUU33KppTv","type":"tool_result","content":"1\timport { NextRequest, NextResponse } from 'next/server';\n2\timport { prisma } from '@/lib/prisma';\n3\timport type { BacklinkImportJson, BacklinkStats, CompetitorBacklink } from '@/types/competitors';\n4\t\n5\t// GET /api/competitors/[slug]/backlinks?period=2025-12\n6\texport async function GET(\n7\t request: NextRequest,\n8\t { params }: { params: { slug: string } }\n9\t) {\n10\t try {\n11\t const { slug } = params;\n12\t const { searchParams } = new URL(request.url);\n13\t const periodParam = searchParams.get('period'); // \"2025-12\" format\n14\t\n15\t // Find competitor\n16\t const competitor = await prisma.competitor.findUnique({\n17\t where: { slug },\n18\t select: { id: true, name: true, domain: true, faviconUrl: true },\n19\t });\n20\t\n21\t if (!competitor) {\n22\t return NextResponse.json({ error: 'Competitor not found' }, { status: 404 });\n23\t }\n24\t\n25\t // Build period filter\n26\t let periodFilter = {};\n27\t if (periodParam) {\n28\t const [year, month] = periodParam.split('-').map(Number);\n29\t const periodDate = new Date(Date.UTC(year, month - 1, 1));\n30\t periodFilter = { period: periodDate };\n31\t }\n32\t\n33\t // Fetch backlinks\n34\t const backlinks = await prisma.competitorBacklink.findMany({\n35\t where: {\n36\t competitorId: competitor.id,\n37\t ...periodFilter,\n38\t },\n39\t orderBy: [\n40\t { domainRating: 'desc' },\n41\t { firstSeen: 'desc' },\n42\t ],\n43\t });\n44\t\n45\t // Calculate stats\n46\t const stats: BacklinkStats = {\n47\t total: backlinks.length,\n48\t dofollow: backlinks.filter(b => b.isDofollow).length,\n49\t nofollow: backlinks.filter(b => !b.isDofollow).length,\n50\t avgDomainRating: backlinks.length > 0\n51\t ? Math.round(backlinks.reduce((sum, b) => sum + (b.domainRating || 0), 0) / backlinks.length * 10) / 10\n52\t : 0,\n53\t totalTrafficReach: backlinks.reduce((sum, b) => sum + (b.traffic || 0), 0),\n54\t byCategory: {},\n55\t byCountry: {},\n56\t };\n57\t\n58\t // Count by category\n59\t backlinks.forEach(b => {\n60\t const cat = b.category || 'other';\n61\t stats.byCategory[cat] = (stats.byCategory[cat] || 0) + 1;\n62\t });\n63\t\n64\t // Count by country\n65\t backlinks.forEach(b => {\n66\t if (b.country) {\n67\t stats.byCountry[b.country] = (stats.byCountry[b.country] || 0) + 1;\n68\t }\n69\t });\n70\t\n71\t // Get available periods for this competitor\n72\t const periods = await prisma.competitorBacklink.findMany({\n73\t where: { competitorId: competitor.id },\n74\t select: { period: true },\n75\t distinct: ['period'],\n76\t orderBy: { period: 'desc' },\n77\t });\n78\t\n79\t const availablePeriods = periods.map(p => {\n80\t const date = new Date(p.period);\n81\t return {\n82\t value: `${date.getUTCFullYear()}-${String(date.getUTCMonth() + 1).padStart(2, '0')}`,\n83\t label: date.toLocaleDateString('en-US', { month: 'long', year: 'numeric', timeZone: 'UTC' }),\n84\t };\n85\t });\n86\t\n87\t return NextResponse.json({\n88\t competitor: {\n89\t id: competitor.id,\n90\t name: competitor.name,\n91\t domain: competitor.domain,\n92\t faviconUrl: competitor.faviconUrl,\n93\t },\n94\t backlinks: backlinks.map(b => ({\n95\t ...b,\n96\t period: b.period.toISOString().split('T')[0],\n97\t firstSeen: b.firstSeen?.toISOString().split('T')[0] || null,\n98\t importedAt: b.importedAt.toISOString(),\n99\t })),\n100\t stats,\n101\t availablePeriods,\n102\t });\n103\t } catch (error) {\n104\t console.error('Error fetching backlinks:', error);\n105\t return NextResponse.json({ error: 'Failed to fetch backlinks' }, { status: 500 });\n106\t }\n107\t}\n108\t\n109\t// POST /api/competitors/[slug]/backlinks - Import JSON\n110\texport async function POST(\n111\t request: NextRequest,\n112\t { params }: { params: { slug: string } }\n113\t) {\n114\t try {\n115\t const { slug } = params;\n116\t const body: BacklinkImportJson = await request.json();\n117\t\n118\t // Find competitor\n119\t const competitor = await prisma.competitor.findUnique({\n120\t where: { slug },\n121\t select: { id: true, domain: true },\n122\t });\n123\t\n124\t if (!competitor) {\n125\t return NextResponse.json({ error: 'Competitor not found' }, { status: 404 });\n126\t }\n127\t\n128\t // Validate JSON structure\n129\t if (!body.meta || !body.backlinks || !Array.isArray(body.backlinks)) {\n130\t return NextResponse.json({ error: 'Invalid JSON structure' }, { status: 400 });\n131\t }\n132\t\n133\t // Parse period from meta (format: \"2025-12\" or \"2026-01 to 2026-02\")\n134\t // If a range is provided, use the first month as period\n135\t const periodString = body.meta.period.includes(' to ')\n136\t ? body.meta.period.split(' to ')[0].trim()\n137\t : body.meta.period.trim();\n138\t const [year, month] = periodString.split('-').map(Number);\n139\t if (!year || !month) {\n140\t return NextResponse.json({ error: 'Invalid period format. Expected YYYY-MM or YYYY-MM to YYYY-MM' }, { status: 400 });\n141\t }\n142\t const periodDate = new Date(Date.UTC(year, month - 1, 1));\n143\t\n144\t // Check existing backlinks for this competitor to skip duplicates\n145\t const existingUrls = await prisma.competitorBacklink.findMany({\n146\t where: { competitorId: competitor.id },\n147\t select: { url: true },\n148\t });\n149\t const existingUrlSet = new Set(existingUrls.map(e => e.url));\n150\t"}]},"uuid":"e9ea25d3-2cf3-468e-a1fe-478b875c6cab","timestamp":"2026-06-07T16:48:45.407Z","sourceToolAssistantUUID":"7aa82ee5-cb2e-4ef4-b70d-402653475877","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"e9ea25d3-2cf3-468e-a1fe-478b875c6cab","isSidechain":true,"agentId":"aedeb51937c6cb90c","message":{"model":"claude-haiku-4-5-20251001","id":"msg_019pfUCf9W142ogz4w77GSQw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Vm6E3bnWdU6ebY5yyonZ4x","name":"Read","input":{"file_path":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/competitors/backlinks/overview/route.ts","limit":150},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":26314,"cache_read_input_tokens":28838,"output_tokens":298,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":26314},"inference_geo":"not_available","iterations":[{"input_tokens":6,"output_tokens":298,"cache_read_input_tokens":28838,"cache_creation_input_tokens":26314,"cache_creation":{"ephemeral_5m_input_tokens":26314,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbpEyDDDB9gw1VooiPAmd","attributionAgent":"Explore","type":"assistant","uuid":"cdf1fc7e-cc88-494f-99f8-cbb59c3e1824","timestamp":"2026-06-07T16:48:45.627Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"cdf1fc7e-cc88-494f-99f8-cbb59c3e1824","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"aedeb51937c6cb90c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Vm6E3bnWdU6ebY5yyonZ4x","type":"tool_result","content":"1\timport { NextRequest, NextResponse } from 'next/server';\n2\timport { prisma } from '@/lib/prisma';\n3\t\n4\t// GET /api/competitors/backlinks/overview?period=2025-12\n5\texport async function GET(request: NextRequest) {\n6\t try {\n7\t const { searchParams } = new URL(request.url);\n8\t const periodParam = searchParams.get('period');\n9\t\n10\t // Default to last month (reporting period) if no period specified\n11\t let periodDate: Date;\n12\t if (periodParam) {\n13\t const [year, month] = periodParam.split('-').map(Number);\n14\t periodDate = new Date(Date.UTC(year, month - 1, 1));\n15\t } else {\n16\t // Default to last month (e.g., in January 2026, default to December 2025)\n17\t const now = new Date();\n18\t const lastMonth = new Date(Date.UTC(now.getFullYear(), now.getMonth() - 1, 1));\n19\t periodDate = lastMonth;\n20\t }\n21\t\n22\t // Get all backlinks for this period with competitor info\n23\t const backlinks = await prisma.competitorBacklink.findMany({\n24\t where: { period: periodDate },\n25\t include: {\n26\t competitor: {\n27\t select: {\n28\t slug: true,\n29\t name: true,\n30\t faviconUrl: true,\n31\t isOwnBrand: true,\n32\t },\n33\t },\n34\t },\n35\t orderBy: [\n36\t { firstSeen: 'desc' },\n37\t { domainRating: 'desc' },\n38\t ],\n39\t });\n40\t\n41\t // Calculate total stats\n42\t const totalBacklinks = backlinks.length;\n43\t const totalDofollow = backlinks.filter(b => b.isDofollow).length;\n44\t const totalTrafficReach = backlinks.reduce((sum, b) => sum + (b.traffic || 0), 0);\n45\t const avgDomainRating = totalBacklinks > 0\n46\t ? Math.round(backlinks.reduce((sum, b) => sum + (b.domainRating || 0), 0) / totalBacklinks * 10) / 10\n47\t : 0;\n48\t\n49\t // Count by country (global)\n50\t const byCountry: Record = {};\n51\t backlinks.forEach(b => {\n52\t const country = b.country || 'Unknown';\n53\t if (!byCountry[country]) {\n54\t byCountry[country] = { count: 0, dofollow: 0, traffic: 0 };\n55\t }\n56\t byCountry[country].count++;\n57\t if (b.isDofollow) byCountry[country].dofollow++;\n58\t byCountry[country].traffic += b.traffic || 0;\n59\t });\n60\t\n61\t // Sort countries by count and format for chart\n62\t const countryInvestments = Object.entries(byCountry)\n63\t .sort((a, b) => b[1].count - a[1].count)\n64\t .map(([country, data]) => ({\n65\t country,\n66\t count: data.count,\n67\t dofollow: data.dofollow,\n68\t traffic: data.traffic,\n69\t }));\n70\t\n71\t // Count by competitor with country breakdown\n72\t const byCompetitor: Record;\n81\t }> = {};\n82\t \n83\t backlinks.forEach(b => {\n84\t const slug = b.competitor.slug;\n85\t if (!byCompetitor[slug]) {\n86\t byCompetitor[slug] = { \n87\t name: b.competitor.name,\n88\t faviconUrl: b.competitor.faviconUrl,\n89\t isOwnBrand: b.competitor.isOwnBrand,\n90\t count: 0, \n91\t dofollow: 0, \n92\t avgDr: 0,\n93\t traffic: 0,\n94\t countries: {}\n95\t };\n96\t }\n97\t byCompetitor[slug].count++;\n98\t if (b.isDofollow) byCompetitor[slug].dofollow++;\n99\t byCompetitor[slug].traffic += b.traffic || 0;\n100\t \n101\t // Count by country per competitor\n102\t const country = b.country || 'Unknown';\n103\t byCompetitor[slug].countries[country] = (byCompetitor[slug].countries[country] || 0) + 1;\n104\t });\n105\t\n106\t // Calculate avg DR per competitor\n107\t Object.keys(byCompetitor).forEach(slug => {\n108\t const competitorBacklinks = backlinks.filter(b => b.competitor.slug === slug);\n109\t byCompetitor[slug].avgDr = competitorBacklinks.length > 0\n110\t ? Math.round(competitorBacklinks.reduce((sum, b) => sum + (b.domainRating || 0), 0) / competitorBacklinks.length * 10) / 10\n111\t : 0;\n112\t });\n113\t\n114\t // Format competitor data for charts - with top countries\n115\t const competitorStats = Object.entries(byCompetitor)\n116\t .sort((a, b) => b[1].count - a[1].count)\n117\t .map(([slug, data]) => ({\n118\t slug,\n119\t name: data.name,\n120\t faviconUrl: data.faviconUrl,\n121\t isOwnBrand: data.isOwnBrand,\n122\t count: data.count,\n123\t dofollow: data.dofollow,\n124\t avgDr: data.avgDr,\n125\t traffic: data.traffic,\n126\t topCountries: Object.entries(data.countries)\n127\t .sort((a, b) => b[1] - a[1])\n128\t .slice(0, 5)\n129\t .map(([country, count]) => ({ country, count })),\n130\t }));\n131\t\n132\t // Find most active competitor (by backlink count)\n133\t let mostActiveCompetitor: { name: string; count: number } | null = null;\n134\t if (competitorStats.length > 0) {\n135\t mostActiveCompetitor = { \n136\t name: competitorStats[0].name, \n137\t count: competitorStats[0].count \n138\t };\n139\t }\n140\t\n141\t // Recent backlinks (top 10)\n142\t const recentBacklinks = backlinks.slice(0, 10).map(b => ({\n143\t id: b.id,\n144\t url: b.url,\n145\t domain: b.domain,\n146\t domainRating: b.domainRating,\n147\t traffic: b.traffic,\n148\t country: b.country,\n149\t category: b.category,\n150\t isDofollow: b.isDofollow,"}]},"uuid":"09d63544-63d1-4515-9396-ce6ee2c825eb","timestamp":"2026-06-07T16:48:45.656Z","sourceToolAssistantUUID":"cdf1fc7e-cc88-494f-99f8-cbb59c3e1824","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"09d63544-63d1-4515-9396-ce6ee2c825eb","isSidechain":true,"agentId":"aedeb51937c6cb90c","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01QbWTfvaYYEhYBtFZqM7wiW","type":"message","role":"assistant","content":[{"type":"text","text":"Let me continue reading the sync routes and import routes:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":5775,"cache_read_input_tokens":55152,"cache_creation":{"ephemeral_5m_input_tokens":5775,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEyXUJx3GuoDpNpLMh5","attributionAgent":"Explore","type":"assistant","uuid":"ebaaa5fb-f6d6-450a-b402-3d608a1875be","timestamp":"2026-06-07T16:48:47.840Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} 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{"parentUuid":"efa80906-5ced-46ac-93d8-a2def6a8f5f1","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"aedeb51937c6cb90c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0154ihBMtYQ2bKagBdALKwrq","type":"tool_result","content":"1\timport { NextRequest, NextResponse } from 'next/server';\n2\timport { getServerSession } from 'next-auth';\n3\timport { authOptions } from '@/lib/auth';\n4\timport { prisma } from '@/lib/prisma';\n5\t\n6\tconst MONITORANK_BASE_URL = 'https://api.monitorank.com/';\n7\t\n8\tinterface MonitorankKeyword {\n9\t id: string;\n10\t keyword: string;\n11\t position?: number;\n12\t position_mobile?: number;\n13\t position_desktop?: number;\n14\t search_volume?: number;\n15\t url?: string;\n16\t landing_page?: string;\n17\t}\n18\t\n19\t/**\n20\t * GET /api/sync/monitorank\n21\t * List Monitorank projects\n22\t * Auth: Clé API en paramètre GET ?key=API_KEY\n23\t */\n24\texport async function GET(request: NextRequest) {\n25\t try {\n26\t const session = await getServerSession(authOptions);\n27\t \n28\t if (!session?.user?.id) {\n29\t return NextResponse.json({ error: 'Unauthorized' }, { status: 401 });\n30\t }\n31\t\n32\t // Récupérer la clé API depuis les params ou la config\n33\t const apiKeyParam = request.nextUrl.searchParams.get('apiKey');\n34\t \n35\t let apiKey = apiKeyParam;\n36\t if (!apiKey) {\n37\t const apiConfig = await prisma.apiConfig.findUnique({\n38\t where: { provider: 'monitorank' },\n39\t });\n40\t apiKey = apiConfig?.apiKeyEncrypted || null;\n41\t }\n42\t\n43\t if (!apiKey) {\n44\t return NextResponse.json({ error: 'Monitorank API not configured' }, { status: 400 });\n45\t }\n46\t\n47\t // List projects - Monitorank utilise la clé en paramètre GET\n48\t const url = `${MONITORANK_BASE_URL}?key=${encodeURIComponent(apiKey)}&module=project&action=list`;\n49\t \n50\t const response = await fetch(url, {\n51\t headers: {\n52\t 'Accept': 'application/json',\n53\t },\n54\t });\n55\t\n56\t if (!response.ok) {\n57\t throw new Error(`Monitorank API error: ${response.status}`);\n58\t }\n59\t\n60\t const data = await response.json();\n61\t \n62\t // Monitorank retourne { result: true/false, data: [...] }\n63\t if (data.result === false) {\n64\t throw new Error(data.error || data.message || 'Monitorank API returned error');\n65\t }\n66\t\n67\t const projects = data.data || [];\n68\t \n69\t return NextResponse.json({\n70\t success: true,\n71\t projects: projects.map((p: any) => ({\n72\t id: p.id,\n73\t name: p.name,\n74\t keywordCount: p.keywords_count || p.nb_keywords,\n75\t lastUpdate: p.last_update,\n76\t })),\n77\t });\n78\t } catch (error) {\n79\t console.error('Error fetching Monitorank projects:', error);\n80\t return NextResponse.json(\n81\t { error: error instanceof Error ? error.message : 'Failed to fetch projects' },\n82\t { status: 500 }\n83\t );\n84\t }\n85\t}\n86\t\n87\t/**\n88\t * POST /api/sync/monitorank\n89\t * Sync keyword rankings from Monitorank\n90\t * Endpoint: module=query&action=list avec id_project\n91\t */\n92\texport async function POST(request: NextRequest) {\n93\t try {\n94\t const session = await getServerSession(authOptions);\n95\t \n96\t if (!session?.user?.id) {\n97\t return NextResponse.json({ error: 'Unauthorized' }, { status: 401 });\n98\t }\n99\t\n100\t const { projectId, marketCode, year, month, apiKey: bodyApiKey } = await request.json();\n101\t\n102\t if (!projectId || !marketCode || !year || !month) {\n103\t return NextResponse.json({ error: 'Project ID, market code, year and month required' }, { status: 400 });\n104\t }\n105\t\n106\t // Récupérer la clé API\n107\t let apiKey = bodyApiKey;\n108\t if (!apiKey) {\n109\t const apiConfig = await prisma.apiConfig.findUnique({\n110\t where: { provider: 'monitorank' },\n111\t });\n112\t apiKey = apiConfig?.apiKeyEncrypted || null;\n113\t }\n114\t\n115\t if (!apiKey) {\n116\t return NextResponse.json({ error: 'Monitorank API not configured' }, { status: 400 });\n117\t }\n118\t\n119\t const monthDate = new Date(year, month - 1, 1);\n120\t"}]},"uuid":"3638e46e-b5f1-4b3d-ad48-e95082c3b46b","timestamp":"2026-06-07T16:48:48.290Z","sourceToolAssistantUUID":"efa80906-5ced-46ac-93d8-a2def6a8f5f1","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} 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{"parentUuid":"effa3eca-8519-4bc9-a54d-d6c4f4ac294a","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"aedeb51937c6cb90c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Lyur7avpHzpQALbBiU33A4","type":"tool_result","content":"1\timport { NextRequest, NextResponse } from 'next/server';\n2\timport { getServerSession } from 'next-auth';\n3\timport { authOptions } from '@/lib/auth';\n4\timport { prisma } from '@/lib/prisma';\n5\t\n6\t// URL corrigée selon la documentation officielle\n7\tconst SEOMONITOR_BASE_URL = 'https://apigw.seomonitor.com/v3';\n8\t\n9\tinterface SEOMonitorKeyword {\n10\t keyword_id: number;\n11\t keyword: string;\n12\t ranking?: {\n13\t desktop?: { position: number };\n14\t mobile?: { position: number };\n15\t landing_page?: string;\n16\t };\n17\t search_data?: {\n18\t search_volume?: number;\n19\t };\n20\t search_volume?: number;\n21\t}\n22\t\n23\t/**\n24\t * GET /api/sync/seomonitor\n25\t * List SEOMonitor campaigns\n26\t * Auth: Header \"Authorization: {API_TOKEN}\" (pas de Bearer!)\n27\t */\n28\texport async function GET(request: NextRequest) {\n29\t try {\n30\t const session = await getServerSession(authOptions);\n31\t \n32\t if (!session?.user?.id) {\n33\t return NextResponse.json({ error: 'Unauthorized' }, { status: 401 });\n34\t }\n35\t\n36\t // Récupérer la clé API depuis les params ou la config\n37\t const apiKeyParam = request.nextUrl.searchParams.get('apiKey');\n38\t \n39\t let apiKey = apiKeyParam;\n40\t if (!apiKey) {\n41\t const apiConfig = await prisma.apiConfig.findUnique({\n42\t where: { provider: 'seomonitor' },\n43\t });\n44\t apiKey = apiConfig?.apiKeyEncrypted || null;\n45\t }\n46\t\n47\t if (!apiKey) {\n48\t return NextResponse.json({ error: 'SEOMonitor API not configured' }, { status: 400 });\n49\t }\n50\t\n51\t // List campaigns - SEOMonitor utilise juste le token (pas de \"Bearer\")\n52\t const response = await fetch(`${SEOMONITOR_BASE_URL}/dashboard/v3.0/campaigns/tracked`, {\n53\t headers: {\n54\t 'Authorization': apiKey,\n55\t 'Accept': 'application/json',\n56\t },\n57\t });\n58\t\n59\t if (!response.ok) {\n60\t const errorText = await response.text();\n61\t throw new Error(`SEOMonitor API error: ${response.status} - ${errorText}`);\n62\t }\n63\t\n64\t const data = await response.json();\n65\t const campaigns = Array.isArray(data) ? data : (data.campaigns || data.data || []);\n66\t \n67\t return NextResponse.json({\n68\t success: true,\n69\t campaigns: campaigns.map((c: any) => ({\n70\t id: c.id || c.campaign_id,\n71\t name: c.name || c.campaign_name,\n72\t domain: c.domain,\n73\t keywordCount: c.keyword_count || c.keywords_count,\n74\t })),\n75\t });\n76\t } catch (error) {\n77\t console.error('Error fetching SEOMonitor campaigns:', error);\n78\t return NextResponse.json(\n79\t { error: error instanceof Error ? error.message : 'Failed to fetch campaigns' },\n80\t { status: 500 }\n81\t );\n82\t }\n83\t}\n84\t\n85\t/**\n86\t * POST /api/sync/seomonitor\n87\t * Sync keyword rankings from SEOMonitor\n88\t * Endpoint: GET /rank-tracker/v3.0/keywords\n89\t */\n90\texport async function POST(request: NextRequest) {\n91\t try {\n92\t const session = await getServerSession(authOptions);\n93\t \n94\t if (!session?.user?.id) {\n95\t return NextResponse.json({ error: 'Unauthorized' }, { status: 401 });\n96\t }\n97\t\n98\t const { campaignId, marketCode, year, month, apiKey: bodyApiKey } = await request.json();\n99\t\n100\t if (!campaignId || !marketCode || !year || !month) {\n101\t return NextResponse.json({ error: 'Campaign ID, market code, year and month required' }, { status: 400 });\n102\t }\n103\t\n104\t // Récupérer la clé API\n105\t let apiKey = bodyApiKey;\n106\t if (!apiKey) {\n107\t const apiConfig = await prisma.apiConfig.findUnique({\n108\t where: { provider: 'seomonitor' },\n109\t });\n110\t apiKey = apiConfig?.apiKeyEncrypted || null;\n111\t }\n112\t\n113\t if (!apiKey) {\n114\t return NextResponse.json({ error: 'SEOMonitor API not configured' }, { status: 400 });\n115\t }\n116\t\n117\t const monthDate = new Date(year, month - 1, 1);\n118\t\n119\t // Create sync log\n120\t const syncLog = await prisma.syncLog.create({"}]},"uuid":"aa1bfdfa-4311-41b6-90dc-e3aac1dfd05b","timestamp":"2026-06-07T16:48:48.775Z","sourceToolAssistantUUID":"effa3eca-8519-4bc9-a54d-d6c4f4ac294a","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"aa1bfdfa-4311-41b6-90dc-e3aac1dfd05b","isSidechain":true,"agentId":"aedeb51937c6cb90c","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01QbWTfvaYYEhYBtFZqM7wiW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VtzVKE3kvuM4yRdFp6xT4T","name":"Read","input":{"file_path":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/sync/dataforseo/route.ts","limit":120},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":5775,"cache_read_input_tokens":55152,"output_tokens":291,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":5775},"inference_geo":"not_available","iterations":[{"input_tokens":6,"output_tokens":291,"cache_read_input_tokens":55152,"cache_creation_input_tokens":5775,"cache_creation":{"ephemeral_5m_input_tokens":5775,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbpEyXUJx3GuoDpNpLMh5","attributionAgent":"Explore","type":"assistant","uuid":"de497e37-d2a3-4727-ba51-147c3c76e5e0","timestamp":"2026-06-07T16:48:48.959Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"de497e37-d2a3-4727-ba51-147c3c76e5e0","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"aedeb51937c6cb90c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VtzVKE3kvuM4yRdFp6xT4T","type":"tool_result","content":"1\timport { NextRequest, NextResponse } from 'next/server';\n2\timport { getServerSession } from 'next-auth';\n3\timport { authOptions } from '@/lib/auth';\n4\timport { prisma } from '@/lib/prisma';\n5\t\n6\tconst DATAFORSEO_BASE_URL = 'https://api.dataforseo.com/v3';\n7\t\n8\tinterface DataForSEOResult {\n9\t keyword: string;\n10\t rank_absolute?: number;\n11\t rank_group?: number;\n12\t url?: string;\n13\t}\n14\t\n15\t/**\n16\t * POST /api/sync/dataforseo\n17\t * Sync keyword rankings from DataForSEO\n18\t */\n19\texport async function POST(request: NextRequest) {\n20\t try {\n21\t const session = await getServerSession(authOptions);\n22\t \n23\t if (!session?.user?.id) {\n24\t return NextResponse.json({ error: 'Unauthorized' }, { status: 401 });\n25\t }\n26\t\n27\t const { keywords, marketCode, year, month, location, language, device } = await request.json();\n28\t\n29\t if (!keywords || !marketCode || !year || !month) {\n30\t return NextResponse.json({ error: 'Keywords, market code, year and month required' }, { status: 400 });\n31\t }\n32\t\n33\t // Get API credentials from config\n34\t const apiConfig = await prisma.apiConfig.findUnique({\n35\t where: { provider: 'dataforseo' },\n36\t });\n37\t\n38\t if (!apiConfig?.apiLogin || !apiConfig?.apiKeyEncrypted) {\n39\t return NextResponse.json({ error: 'DataForSEO API not configured' }, { status: 400 });\n40\t }\n41\t\n42\t const monthDate = new Date(year, month - 1, 1);\n43\t const authString = Buffer.from(`${apiConfig.apiLogin}:${apiConfig.apiKeyEncrypted}`).toString('base64');\n44\t\n45\t // Create sync log\n46\t const syncLog = await prisma.syncLog.create({\n47\t data: {\n48\t month: monthDate,\n49\t provider: 'dataforseo',\n50\t startedAt: new Date(),\n51\t status: 'partial',\n52\t },\n53\t });\n54\t\n55\t try {\n56\t const results: { keyword: string; mobile: number | null; desktop: number | null }[] = [];\n57\t\n58\t // Process keywords in batches (DataForSEO has rate limits)\n59\t const batchSize = 10;\n60\t const keywordList = Array.isArray(keywords) ? keywords : [keywords];\n61\t\n62\t for (let i = 0; i < keywordList.length; i += batchSize) {\n63\t const batch = keywordList.slice(i, i + batchSize);\n64\t \n65\t // Fetch mobile rankings\n66\t const mobilePayload = batch.map((keyword: string) => ({\n67\t keyword,\n68\t location_name: location || 'United Kingdom',\n69\t language_name: language || 'English',\n70\t device: 'mobile',\n71\t depth: 100,\n72\t }));\n73\t\n74\t const mobileResponse = await fetch(\n75\t `${DATAFORSEO_BASE_URL}/serp/google/organic/live/regular`,\n76\t {\n77\t method: 'POST',\n78\t headers: {\n79\t 'Authorization': `Basic ${authString}`,\n80\t 'Content-Type': 'application/json',\n81\t },\n82\t body: JSON.stringify(mobilePayload),\n83\t }\n84\t );\n85\t\n86\t // Fetch desktop rankings\n87\t const desktopPayload = batch.map((keyword: string) => ({\n88\t keyword,\n89\t location_name: location || 'United Kingdom',\n90\t language_name: language || 'English',\n91\t device: 'desktop',\n92\t depth: 100,\n93\t }));\n94\t\n95\t const desktopResponse = await fetch(\n96\t `${DATAFORSEO_BASE_URL}/serp/google/organic/live/regular`,\n97\t {\n98\t method: 'POST',\n99\t headers: {\n100\t 'Authorization': `Basic ${authString}`,\n101\t 'Content-Type': 'application/json',\n102\t },\n103\t body: JSON.stringify(desktopPayload),\n104\t }\n105\t );\n106\t\n107\t if (!mobileResponse.ok || !desktopResponse.ok) {\n108\t throw new Error('DataForSEO API error');\n109\t }\n110\t\n111\t const mobileData = await mobileResponse.json();\n112\t const desktopData = await desktopResponse.json();\n113\t\n114\t // Parse results\n115\t batch.forEach((keyword: string, idx: number) => {\n116\t const mobileTask = mobileData.tasks?.[idx];\n117\t const desktopTask = desktopData.tasks?.[idx];\n118\t\n119\t let mobilePosition: number | null = null;\n120\t let desktopPosition: number | null = null;"}]},"uuid":"fbbe10c6-d79b-481c-9b5e-c001160a2bcc","timestamp":"2026-06-07T16:48:48.980Z","sourceToolAssistantUUID":"de497e37-d2a3-4727-ba51-147c3c76e5e0","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"fbbe10c6-d79b-481c-9b5e-c001160a2bcc","isSidechain":true,"agentId":"aedeb51937c6cb90c","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01RtXu8HR4cTXSs7QrJv91Dq","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me read the Google API routes and import routes:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":4500,"cache_read_input_tokens":60927,"cache_creation":{"ephemeral_5m_input_tokens":4500,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEymc7VAKu6bKbhKerm","attributionAgent":"Explore","type":"assistant","uuid":"996ce0ff-42fe-4bce-8ae4-05310f1cec7d","timestamp":"2026-06-07T16:48:51.039Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"996ce0ff-42fe-4bce-8ae4-05310f1cec7d","isSidechain":true,"agentId":"aedeb51937c6cb90c","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01RtXu8HR4cTXSs7QrJv91Dq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01E4QR9nAtihGMtrgkayCEXT","name":"Read","input":{"file_path":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/google/search-console/route.ts","limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":4500,"cache_read_input_tokens":60927,"cache_creation":{"ephemeral_5m_input_tokens":4500,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEymc7VAKu6bKbhKerm","attributionAgent":"Explore","type":"assistant","uuid":"e36d8bea-3af5-4011-b6c1-aed578a1df52","timestamp":"2026-06-07T16:48:51.885Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"e36d8bea-3af5-4011-b6c1-aed578a1df52","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"aedeb51937c6cb90c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01E4QR9nAtihGMtrgkayCEXT","type":"tool_result","content":"1\timport { NextRequest, NextResponse } from 'next/server';\n2\timport { getServerSession } from 'next-auth';\n3\timport { authOptions } from '@/lib/auth';\n4\timport { getSearchConsoleClient, getMonthBounds } from '@/lib/google';\n5\timport { prisma } from '@/lib/prisma';\n6\t\n7\t// Market URL path mappings\n8\tconst MARKET_PATHS: Record = {\n9\t 'en': '/',\n10\t 'fr': '/fr/',\n11\t 'it': '/it/',\n12\t 'london': '/london/',\n13\t 'tr': '/tr/',\n14\t 'hr': '/hr/',\n15\t 'sr': '/sr/',\n16\t};\n17\t\n18\t/**\n19\t * GET /api/google/search-console\n20\t * Fetch Search Console data (Web Search and/or Discover)\n21\t */\n22\texport async function GET(request: NextRequest) {\n23\t try {\n24\t const session = await getServerSession(authOptions);\n25\t \n26\t if (!session?.user?.id) {\n27\t return NextResponse.json({ error: 'Unauthorized' }, { status: 401 });\n28\t }\n29\t\n30\t const siteUrl = request.nextUrl.searchParams.get('siteUrl');\n31\t const type = request.nextUrl.searchParams.get('type') || 'web'; // 'web' or 'discover'\n32\t const year = parseInt(request.nextUrl.searchParams.get('year') || new Date().getFullYear().toString());\n33\t const month = parseInt(request.nextUrl.searchParams.get('month') || (new Date().getMonth() + 1).toString());\n34\t const marketCode = request.nextUrl.searchParams.get('market');\n35\t \n36\t if (!siteUrl) {\n37\t return NextResponse.json({ error: 'Site URL required' }, { status: 400 });\n38\t }\n39\t\n40\t const searchConsole = await getSearchConsoleClient(session.user.id);\n41\t const { startDate, endDate } = getMonthBounds(year, month);\n42\t\n43\t if (type === 'discover') {\n44\t return await getDiscoverData(searchConsole, siteUrl, startDate, endDate);\n45\t }\n46\t\n47\t return await getWebSearchData(searchConsole, siteUrl, startDate, endDate, marketCode);\n48\t } catch (error) {\n49\t console.error('Error fetching Search Console data:', error);\n50\t return NextResponse.json(\n51\t { error: error instanceof Error ? error.message : 'Failed to fetch Search Console data' },\n52\t { status: 500 }\n53\t );\n54\t }\n55\t}\n56\t\n57\tasync function getWebSearchData(\n58\t searchConsole: Awaited>,\n59\t siteUrl: string,\n60\t startDate: string,\n61\t endDate: string,\n62\t marketCode: string | null\n63\t) {\n64\t // Build dimension filter for market\n65\t const dimensionFilterGroups = marketCode && MARKET_PATHS[marketCode]\n66\t ? [{\n67\t filters: [{\n68\t dimension: 'page',\n69\t operator: 'contains',\n70\t expression: MARKET_PATHS[marketCode],\n71\t }],\n72\t }]\n73\t : undefined;\n74\t\n75\t // Get overall metrics\n76\t const overallResponse = await searchConsole.searchanalytics.query({\n77\t siteUrl,\n78\t requestBody: {\n79\t startDate,\n80\t endDate,\n81\t type: 'web',\n82\t dimensionFilterGroups,\n83\t },\n84\t });\n85\t\n86\t // Get metrics by page\n87\t const pageResponse = await searchConsole.searchanalytics.query({\n88\t siteUrl,\n89\t requestBody: {\n90\t startDate,\n91\t endDate,\n92\t type: 'web',\n93\t dimensions: ['page'],\n94\t dimensionFilterGroups,\n95\t rowLimit: 100,\n96\t },\n97\t });\n98\t\n99\t // Get metrics by query (for brand/non-brand analysis)\n100\t const queryResponse = await searchConsole.searchanalytics.query({"}]},"uuid":"4f527f54-f089-496b-b3d6-c23261fe8f5c","timestamp":"2026-06-07T16:48:51.945Z","sourceToolAssistantUUID":"e36d8bea-3af5-4011-b6c1-aed578a1df52","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} 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{"parentUuid":"9defb1ed-8a48-47ee-851f-8d1419217759","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"aedeb51937c6cb90c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Kna3jXMyja8Gg73HD7J8Ji","type":"tool_result","content":"1\timport { NextRequest, NextResponse } from 'next/server';\n2\timport { getServerSession } from 'next-auth';\n3\timport { authOptions } from '@/lib/auth';\n4\timport { getAnalyticsClient, getMonthBounds, normalizeChannelName } from '@/lib/google';\n5\timport { prisma } from '@/lib/prisma';\n6\t\n7\t/**\n8\t * GET /api/google/analytics\n9\t * Fetch analytics data and optionally sync to database\n10\t */\n11\texport async function GET(request: NextRequest) {\n12\t try {\n13\t const session = await getServerSession(authOptions);\n14\t \n15\t if (!session?.user?.id) {\n16\t return NextResponse.json({ error: 'Unauthorized' }, { status: 401 });\n17\t }\n18\t\n19\t const propertyId = request.nextUrl.searchParams.get('propertyId');\n20\t const year = parseInt(request.nextUrl.searchParams.get('year') || new Date().getFullYear().toString());\n21\t const month = parseInt(request.nextUrl.searchParams.get('month') || (new Date().getMonth() + 1).toString());\n22\t \n23\t if (!propertyId) {\n24\t return NextResponse.json({ error: 'Property ID required' }, { status: 400 });\n25\t }\n26\t\n27\t const analytics = await getAnalyticsClient(session.user.id);\n28\t const { startDate, endDate } = getMonthBounds(year, month);\n29\t\n30\t // Fetch channel data\n31\t const channelResponse = await analytics.properties.runReport({\n32\t property: `properties/${propertyId}`,\n33\t requestBody: {\n34\t dateRanges: [{ startDate, endDate }],\n35\t dimensions: [{ name: 'sessionDefaultChannelGroup' }],\n36\t metrics: [\n37\t { name: 'sessions' },\n38\t { name: 'conversions' },\n39\t ],\n40\t },\n41\t });\n42\t\n43\t // Fetch country data\n44\t const countryResponse = await analytics.properties.runReport({\n45\t property: `properties/${propertyId}`,\n46\t requestBody: {\n47\t dateRanges: [{ startDate, endDate }],\n48\t dimensions: [{ name: 'country' }, { name: 'countryId' }],\n49\t metrics: [\n50\t { name: 'sessions' },\n51\t { name: 'conversions' },\n52\t ],\n53\t limit: '50',\n54\t },\n55\t });\n56\t\n57\t // Fetch daily channel data\n58\t const dailyResponse = await analytics.properties.runReport({\n59\t property: `properties/${propertyId}`,\n60\t requestBody: {\n61\t dateRanges: [{ startDate, endDate }],\n62\t dimensions: [{ name: 'date' }, { name: 'sessionDefaultChannelGroup' }],\n63\t metrics: [\n64\t { name: 'sessions' },\n65\t { name: 'conversions' },\n66\t ],\n67\t orderBys: [{ dimension: { dimensionName: 'date' } }],\n68\t },\n69\t });\n70\t\n71\t // Parse channel data\n72\t const channelData = (channelResponse.data.rows || []).map((row) => ({\n73\t channel: normalizeChannelName(row.dimensionValues?.[0]?.value || 'Unknown'),\n74\t sessions: parseInt(row.metricValues?.[0]?.value || '0'),\n75\t conversions: parseInt(row.metricValues?.[1]?.value || '0'),\n76\t }));\n77\t\n78\t // Parse country data\n79\t const countryData = (countryResponse.data.rows || []).map((row) => ({\n80\t countryName: row.dimensionValues?.[0]?.value || 'Unknown',\n81\t countryCode: row.dimensionValues?.[1]?.value || 'XX',\n82\t sessions: parseInt(row.metricValues?.[0]?.value || '0'),\n83\t conversions: parseInt(row.metricValues?.[1]?.value || '0'),\n84\t }));\n85\t\n86\t // Parse daily data\n87\t const dailyData = (dailyResponse.data.rows || []).map((row) => ({\n88\t date: row.dimensionValues?.[0]?.value || '',\n89\t channel: normalizeChannelName(row.dimensionValues?.[1]?.value || 'Unknown'),\n90\t sessions: parseInt(row.metricValues?.[0]?.value || '0'),\n91\t conversions: parseInt(row.metricValues?.[1]?.value || '0'),\n92\t }));\n93\t\n94\t // Calculate totals\n95\t const totalSessions = channelData.reduce((sum, c) => sum + c.sessions, 0);\n96\t const totalConversions = channelData.reduce((sum, c) => sum + c.conversions, 0);\n97\t\n98\t return NextResponse.json({\n99\t period: { year, month, startDate, endDate },\n100\t totals: {"}]},"uuid":"350a6633-3044-4257-b06d-795437a4bd06","timestamp":"2026-06-07T16:48:52.128Z","sourceToolAssistantUUID":"9defb1ed-8a48-47ee-851f-8d1419217759","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} 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{"parentUuid":"108740c9-ecce-4a75-befb-b036df5c8685","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"aedeb51937c6cb90c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SYWTfmLLY1ugrGjHL71kaG","type":"tool_result","content":"1\timport { NextRequest, NextResponse } from 'next/server';\n2\timport { getServerSession } from 'next-auth';\n3\timport { authOptions } from '@/lib/auth';\n4\timport { prisma } from '@/lib/prisma';\n5\timport Papa from 'papaparse';\n6\t\n7\t// French month parsing\n8\tconst FRENCH_MONTHS: Record = {\n9\t 'janvier': 1, 'janv.': 1, 'jan': 1,\n10\t 'février': 2, 'févr.': 2, 'fev': 2,\n11\t 'mars': 3, 'mar': 3,\n12\t 'avril': 4, 'avr.': 4, 'avr': 4,\n13\t 'mai': 5,\n14\t 'juin': 6, 'jun': 6,\n15\t 'juillet': 7, 'juil.': 7, 'jul': 7,\n16\t 'août': 8, 'aout': 8, 'aoû': 8,\n17\t 'septembre': 9, 'sept.': 9, 'sep': 9,\n18\t 'octobre': 10, 'oct.': 10, 'oct': 10,\n19\t 'novembre': 11, 'nov.': 11, 'nov': 11,\n20\t 'décembre': 12, 'déc.': 12, 'dec': 12,\n21\t};\n22\t\n23\t// Column mapping from Zoho CSV to markets\n24\tconst COLUMN_MAPPING: Record = {\n25\t 'Total SEO': 'seoTotal',\n26\t 'SEO FR': 'fr',\n27\t 'SEO EN': 'en',\n28\t 'SEO IT': 'it',\n29\t 'SEO London': 'london',\n30\t 'SEO Autres': 'other',\n31\t};\n32\t\n33\tinterface ParsedZohoRow {\n34\t month: Date;\n35\t seoTotal: number;\n36\t en: number;\n37\t fr: number;\n38\t it: number;\n39\t london: number;\n40\t other: number;\n41\t}\n42\t\n43\tfunction parseMonth(monthStr: string): Date | null {\n44\t // Try format \"01/2025\" or \"1/2025\"\n45\t const slashMatch = monthStr.match(/^(\\d{1,2})\\/(\\d{4})$/);\n46\t if (slashMatch) {\n47\t const month = parseInt(slashMatch[1]);\n48\t const year = parseInt(slashMatch[2]);\n49\t // Use UTC to avoid timezone issues\n50\t return new Date(Date.UTC(year, month - 1, 1));\n51\t }\n52\t\n53\t // Try format \"janv. 2025\" or \"janvier 2025\"\n54\t const frenchMatch = monthStr.toLowerCase().match(/^([a-zéûô.]+)\\s*(\\d{4})$/);\n55\t if (frenchMatch) {\n56\t const monthName = frenchMatch[1].trim();\n57\t const year = parseInt(frenchMatch[2]);\n58\t const month = FRENCH_MONTHS[monthName];\n59\t if (month) {\n60\t // Use UTC to avoid timezone issues\n61\t return new Date(Date.UTC(year, month - 1, 1));\n62\t }\n63\t }\n64\t\n65\t return null;\n66\t}\n67\t\n68\tfunction parseCSV(csvContent: string): ParsedZohoRow[] {\n69\t const results = Papa.parse>(csvContent, {\n70\t header: true,\n71\t skipEmptyLines: true,\n72\t });\n73\t\n74\t const headers = Object.keys(results.data[0] || {});\n75\t console.log('[Zoho Import] ========================================');\n76\t console.log('[Zoho Import] CSV Headers count:', headers.length);\n77\t console.log('[Zoho Import] CSV Headers:', JSON.stringify(headers));\n78\t console.log('[Zoho Import] Looking for columns:', JSON.stringify(Object.keys(COLUMN_MAPPING)));\n79\t \n80\t // Check each mapping\n81\t for (const col of Object.keys(COLUMN_MAPPING)) {\n82\t const exactMatch = headers.find(h => h === col);\n83\t const includesMatch = headers.find(h => h.includes(col));\n84\t console.log(`[Zoho Import] Column \"${col}\": exact=${exactMatch || 'NOT FOUND'}, includes=${includesMatch || 'NOT FOUND'}`);\n85\t }\n86\t console.log('[Zoho Import] ========================================');\n87\t\n88\t const rows: ParsedZohoRow[] = [];\n89\t \n90\t // Log first row for debugging\n91\t if (results.data.length > 0) {\n92\t console.log('[Zoho Import] First row raw data:', JSON.stringify(results.data[0]));\n93\t }\n94\t \n95\t for (const row of results.data) {\n96\t // Find month column (usually first column)\n97\t const monthKey = Object.keys(row).find(k => \n98\t k.toLowerCase().includes('month') || \n99\t k.toLowerCase().includes('mois') ||\n100\t k === 'Months'"}]},"uuid":"2f3640ab-2b1d-4c8d-bbd6-4ca71d888639","timestamp":"2026-06-07T16:48:52.411Z","sourceToolAssistantUUID":"108740c9-ecce-4a75-befb-b036df5c8685","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"2f3640ab-2b1d-4c8d-bbd6-4ca71d888639","isSidechain":true,"agentId":"aedeb51937c6cb90c","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01TRNg3qDXtfQ3tJx2t7vtxJ","type":"message","role":"assistant","content":[{"type":"text","text":"Let me read the remaining important routes:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":4379,"cache_read_input_tokens":65427,"cache_creation":{"ephemeral_5m_input_tokens":4379,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEz2Tpo7dQzB9yg3ANx","attributionAgent":"Explore","type":"assistant","uuid":"08bb7b8e-fec4-40dd-bb57-af86279f91c4","timestamp":"2026-06-07T16:48:54.237Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} 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{"parentUuid":"beb08bc9-7d3f-49b8-8749-bcaf9e9a4b07","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"aedeb51937c6cb90c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Cc8fnCDcfG8NSCHAAir31E","type":"tool_result","content":"1\timport { NextRequest, NextResponse } from 'next/server';\n2\timport { getServerSession } from 'next-auth';\n3\timport { authOptions } from '@/lib/auth';\n4\timport { prisma } from '@/lib/prisma';\n5\timport Papa from 'papaparse';\n6\t\n7\t// French month parsing\n8\tconst FRENCH_MONTHS: Record = {\n9\t 'janvier': 1, 'janv.': 1, 'jan': 1,\n10\t 'février': 2, 'févr.': 2, 'fev': 2,\n11\t 'mars': 3, 'mar': 3,\n12\t 'avril': 4, 'avr.': 4, 'avr': 4,\n13\t 'mai': 5,\n14\t 'juin': 6, 'jun': 6,\n15\t 'juillet': 7, 'juil.': 7, 'jul': 7,\n16\t 'août': 8, 'aout': 8, 'aoû': 8,\n17\t 'septembre': 9, 'sept.': 9, 'sep': 9,\n18\t 'octobre': 10, 'oct.': 10, 'oct': 10,\n19\t 'novembre': 11, 'nov.': 11, 'nov': 11,\n20\t 'décembre': 12, 'déc.': 12, 'dec': 12,\n21\t};\n22\t\n23\tinterface ParsedSemrushRow {\n24\t month: Date;\n25\t top1_3: number;\n26\t top4_10: number;\n27\t top11_20: number;\n28\t top21_30: number;\n29\t top31_40: number;\n30\t top41_50: number;\n31\t top51_60: number;\n32\t top61_70: number;\n33\t top71_80: number;\n34\t top81_90: number;\n35\t top91_100: number;\n36\t}\n37\t\n38\tfunction parseMonth(monthStr: string): Date | null {\n39\t // Try format \"déc. 2025\" or \"décembre 2025\"\n40\t const frenchMatch = monthStr.toLowerCase().match(/^([a-zéûô.]+)\\s*(\\d{4})$/);\n41\t if (frenchMatch) {\n42\t const monthName = frenchMatch[1].trim();\n43\t const year = parseInt(frenchMatch[2]);\n44\t const month = FRENCH_MONTHS[monthName];\n45\t if (month) {\n46\t // Use UTC to avoid timezone issues\n47\t return new Date(Date.UTC(year, month - 1, 1));\n48\t }\n49\t }\n50\t\n51\t // Try format \"Dec 2025\" or \"December 2025\"\n52\t const englishMatch = monthStr.match(/^([A-Za-z]+)\\s*(\\d{4})$/);\n53\t if (englishMatch) {\n54\t const date = new Date(`${englishMatch[1]} 1, ${englishMatch[2]}`);\n55\t if (!isNaN(date.getTime())) {\n56\t // Use UTC to avoid timezone issues\n57\t return new Date(Date.UTC(date.getFullYear(), date.getMonth(), 1));\n58\t }\n59\t }\n60\t\n61\t return null;\n62\t}\n63\t\n64\tfunction parseCSV(csvContent: string): ParsedSemrushRow[] {\n65\t const results = Papa.parse>(csvContent, {\n66\t header: true,\n67\t skipEmptyLines: true,\n68\t });\n69\t\n70\t const rows: ParsedSemrushRow[] = [];\n71\t \n72\t for (const row of results.data) {\n73\t // Find month column\n74\t const monthKey = Object.keys(row).find(k => \n75\t k.toLowerCase().includes('mois') || \n76\t k.toLowerCase().includes('month') ||\n77\t k.toLowerCase().includes('année')\n78\t ) || Object.keys(row)[0];\n79\t\n80\t const monthStr = row[monthKey];\n81\t const month = parseMonth(monthStr);\n82\t \n83\t if (!month) continue;\n84\t\n85\t // Parse 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{"parentUuid":"f0f60f87-66a8-4c20-8a41-23f1e65174a6","isSidechain":true,"agentId":"aedeb51937c6cb90c","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01TRNg3qDXtfQ3tJx2t7vtxJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017mwyYYawSsHeXSyMj5ne9e","name":"Read","input":{"file_path":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/insights/content/route.ts","limit":80},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":4379,"cache_read_input_tokens":65427,"cache_creation":{"ephemeral_5m_input_tokens":4379,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEz2Tpo7dQzB9yg3ANx","attributionAgent":"Explore","type":"assistant","uuid":"a5f1ec26-1757-4c04-8643-c252bea94cb6","timestamp":"2026-06-07T16:48:55.503Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"a5f1ec26-1757-4c04-8643-c252bea94cb6","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"aedeb51937c6cb90c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017mwyYYawSsHeXSyMj5ne9e","type":"tool_result","content":"1\timport { NextResponse } from 'next/server';\n2\timport { prisma } from '@/lib/prisma';\n3\t\n4\t// #region agent log\n5\tconst debugLog = (hypothesisId: string, message: string, data?: Record) => {\n6\t fetch('http://127.0.0.1:7242/ingest/912401b0-06b6-4527-a977-61810599d856',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({location:'insights/content/route.ts',message,data,timestamp:Date.now(),sessionId:'debug-session',hypothesisId})}).catch(()=>{});\n7\t};\n8\t// #endregion\n9\t\n10\t/**\n11\t * GET /api/insights/content\n12\t * Retrieve the current Monthly Insights content\n13\t */\n14\texport async function GET() {\n15\t try {\n16\t // #region agent log\n17\t debugLog('H3', 'Insights Content API Called', { endpoint: '/api/insights/content' });\n18\t // #endregion\n19\t \n20\t const setting = await prisma.setting.findUnique({\n21\t where: { key: 'monthly_insights_content' },\n22\t });\n23\t\n24\t if (!setting) {\n25\t // #region agent log\n26\t debugLog('H3', 'Insights Content - No setting found', { result: 'empty' });\n27\t // #endregion\n28\t return NextResponse.json({ content: '', updatedAt: null });\n29\t }\n30\t\n31\t const data = JSON.parse(setting.value);\n32\t // #region agent log\n33\t debugLog('H3', 'Insights Content Success', { hasContent: !!data.content });\n34\t // #endregion\n35\t return NextResponse.json(data);\n36\t } catch (error) {\n37\t console.error('Error fetching insights content:', error);\n38\t return NextResponse.json({ content: '', updatedAt: null });\n39\t }\n40\t}\n41\t\n42\t/**\n43\t * POST /api/insights/content\n44\t * Save the Monthly Insights content\n45\t */\n46\texport async function POST(request: Request) {\n47\t try {\n48\t const body = await request.json();\n49\t const { content, updatedAt } = body;\n50\t\n51\t if (typeof content !== 'string') {\n52\t return NextResponse.json({ error: 'Invalid content' }, { status: 400 });\n53\t }\n54\t\n55\t const data = JSON.stringify({ content, updatedAt: updatedAt || new Date().toISOString() });\n56\t\n57\t await prisma.setting.upsert({\n58\t where: { key: 'monthly_insights_content' },\n59\t update: { value: data },\n60\t create: { key: 'monthly_insights_content', value: data },\n61\t });\n62\t\n63\t return NextResponse.json({ success: true });\n64\t } catch (error) {\n65\t console.error('Error saving insights content:', error);\n66\t return NextResponse.json({ error: 'Failed to save' }, { status: 500 });\n67\t }\n68\t}\n69\t\n70\t\n71\t\n72\t"}]},"uuid":"b4999d70-06f6-4145-a5ee-674cb83bba2e","timestamp":"2026-06-07T16:48:55.518Z","sourceToolAssistantUUID":"a5f1ec26-1757-4c04-8643-c252bea94cb6","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"b4999d70-06f6-4145-a5ee-674cb83bba2e","isSidechain":true,"agentId":"aedeb51937c6cb90c","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01TRNg3qDXtfQ3tJx2t7vtxJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012AVmqcEEU2ty87FL9C9tk1","name":"Read","input":{"file_path":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/insights/news/route.ts","limit":80},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":4379,"cache_read_input_tokens":65427,"output_tokens":283,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":4379},"inference_geo":"not_available","iterations":[{"input_tokens":6,"output_tokens":283,"cache_read_input_tokens":65427,"cache_creation_input_tokens":4379,"cache_creation":{"ephemeral_5m_input_tokens":4379,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbpEz2Tpo7dQzB9yg3ANx","attributionAgent":"Explore","type":"assistant","uuid":"9ab626df-b541-4d32-be51-f555ca8f0eef","timestamp":"2026-06-07T16:48:55.660Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"9ab626df-b541-4d32-be51-f555ca8f0eef","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"aedeb51937c6cb90c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012AVmqcEEU2ty87FL9C9tk1","type":"tool_result","content":"1\timport { NextResponse } from 'next/server';\n2\timport { getServerSession } from 'next-auth';\n3\timport { authOptions } from '@/lib/auth';\n4\timport prisma from '@/lib/prisma';\n5\t\n6\t// #region agent log\n7\tconst debugLog = (hypothesisId: string, message: string, data?: Record) => {\n8\t fetch('http://127.0.0.1:7242/ingest/912401b0-06b6-4527-a977-61810599d856',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({location:'insights/news/route.ts',message,data,timestamp:Date.now(),sessionId:'debug-session',hypothesisId})}).catch(()=>{});\n9\t};\n10\t// #endregion\n11\t\n12\t// SEO News JSON structure\n13\texport interface SeoNewsSource {\n14\t title: string;\n15\t url: string;\n16\t}\n17\t\n18\texport interface SeoNewsItem {\n19\t id: number;\n20\t title: string;\n21\t tldr: string;\n22\t description: string;\n23\t forUs: string;\n24\t sources: SeoNewsSource[];\n25\t color: string; // #1febf2 (cyan), #33d26b (green), #f97316 (orange), #8b5cf6 (purple)\n26\t}\n27\t\n28\texport interface SeoNews {\n29\t title: string;\n30\t year: number;\n31\t month: number;\n32\t items: SeoNewsItem[];\n33\t updatedAt?: string;\n34\t}\n35\t\n36\t// GET - Fetch SEO News for a specific month\n37\texport async function GET(request: Request) {\n38\t try {\n39\t const session = await getServerSession(authOptions);\n40\t if (!session) {\n41\t return NextResponse.json({ error: 'Unauthorized' }, { status: 401 });\n42\t }\n43\t\n44\t const { searchParams } = new URL(request.url);\n45\t const year = parseInt(searchParams.get('year') || new Date().getFullYear().toString());\n46\t const month = parseInt(searchParams.get('month') || (new Date().getMonth() + 1).toString());\n47\t\n48\t // #region agent log\n49\t debugLog('H3', 'Insights News API Called', { year, month });\n50\t // #endregion\n51\t\n52\t const key = `seo-news-${year}-${String(month).padStart(2, '0')}`;\n53\t \n54\t const setting = await prisma.setting.findUnique({\n55\t where: { key },\n56\t });\n57\t\n58\t if (!setting) {\n59\t return NextResponse.json({\n60\t title: `SEO News ${getMonthName(month)} ${year}`,\n61\t year,\n62\t month,\n63\t items: [],\n64\t updatedAt: null,\n65\t });\n66\t }\n67\t\n68\t const data = JSON.parse(setting.value) as SeoNews;\n69\t return NextResponse.json({\n70\t ...data,\n71\t updatedAt: setting.updatedAt?.toISOString(),\n72\t });\n73\t } catch (error) {\n74\t console.error('Error fetching SEO news:', error);\n75\t return NextResponse.json({ error: 'Failed to fetch SEO news' }, { status: 500 });\n76\t }\n77\t}\n78\t\n79\t// POST - Save SEO News for a specific month\n80\texport async function POST(request: Request) {"}]},"uuid":"5e10a51c-b436-4a58-bad1-93b7ac186bd6","timestamp":"2026-06-07T16:48:55.678Z","sourceToolAssistantUUID":"9ab626df-b541-4d32-be51-f555ca8f0eef","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"5e10a51c-b436-4a58-bad1-93b7ac186bd6","isSidechain":true,"agentId":"aedeb51937c6cb90c","message":{"model":"claude-haiku-4-5-20251001","id":"msg_012hBkcq91X7rGVLBEewP3ut","type":"message","role":"assistant","content":[{"type":"text","text":"Let me check a few more critical routes:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":3483,"cache_read_input_tokens":69806,"cache_creation":{"ephemeral_5m_input_tokens":3483,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEzGTSyysgyaR2thC2f","attributionAgent":"Explore","type":"assistant","uuid":"03b83a5a-c395-4f4d-a975-59d74e9eacb2","timestamp":"2026-06-07T16:48:57.708Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"03b83a5a-c395-4f4d-a975-59d74e9eacb2","isSidechain":true,"agentId":"aedeb51937c6cb90c","message":{"model":"claude-haiku-4-5-20251001","id":"msg_012hBkcq91X7rGVLBEewP3ut","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PTrrHDarhBaSBh91Ub5KaX","name":"Read","input":{"file_path":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/dashboard/route.ts","limit":80},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":3483,"cache_read_input_tokens":69806,"cache_creation":{"ephemeral_5m_input_tokens":3483,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEzGTSyysgyaR2thC2f","attributionAgent":"Explore","type":"assistant","uuid":"fdeb9017-f015-4fde-9b32-2de2bdd5f689","timestamp":"2026-06-07T16:48:58.338Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"fdeb9017-f015-4fde-9b32-2de2bdd5f689","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"aedeb51937c6cb90c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PTrrHDarhBaSBh91Ub5KaX","type":"tool_result","content":"1\timport { NextRequest, NextResponse } from 'next/server';\n2\timport { getServerSession } from 'next-auth';\n3\timport { authOptions } from '@/lib/auth';\n4\timport { getAnalyticsClient, getSearchConsoleClient, getMonthBounds, normalizeChannelName } from '@/lib/google';\n5\timport prisma from '@/lib/prisma';\n6\timport { cache } from '@/lib/cache';\n7\t\n8\t// #region agent log\n9\tconst debugLog = (hypothesisId: string, message: string, data?: Record) => {\n10\t fetch('http://127.0.0.1:7242/ingest/912401b0-06b6-4527-a977-61810599d856',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({location:'dashboard/route.ts',message,data,timestamp:Date.now(),sessionId:'debug-session',hypothesisId})}).catch(()=>{});\n11\t};\n12\t// #endregion\n13\t\n14\t// GA4 Property ID for emrahcinik.com\n15\tconst PROPERTY_ID = '305021969';\n16\tconst SITE_URL = 'sc-domain:emrahcinik.com';\n17\t\n18\t// Hair-related page patterns (to filter out dental campaigns)\n19\t// These are the landing pages for hair transplant only\n20\tconst HAIR_PAGE_PATTERNS = [\n21\t '/lp/best-hair',\n22\t '/lp/meilleure-clinique-capillaire',\n23\t '/lp/la-migliore-clinica-dei-capelli',\n24\t '/lp/beste-haarklinik',\n25\t '/lp/beste-haarkliniek',\n26\t '/lp/cea-mai-buna-clinica-de-implant',\n27\t '/lp/turkiyenin-en-iyi-sac',\n28\t '/lp/najbolja-klinika-za-transplantaciju-kose',\n29\t '/hair-transplant',\n30\t '/greffe-de-cheveux',\n31\t '/trapianto-capelli',\n32\t '/haartransplantation',\n33\t '/sac-ekimi',\n34\t '/transplantacija-kose',\n35\t];\n36\t\n37\t// Market URL path mappings (from hreflang tags)\n38\t// Markets can be filtered by URL path OR by country (for US market)\n39\tconst MARKET_PATHS: Record = {\n40\t // Primary Markets\n41\t 'en': { name: 'English', flag: '🇬🇧', path: '/' },\n42\t 'fr': { name: 'French', flag: '🇫🇷', path: '/fr/' },\n43\t 'it': { name: 'Italian', flag: '🇮🇹', path: '/it/' },\n44\t 'tr': { name: 'Turkish', flag: '🇹🇷', path: '/tr/' },\n45\t 'london': { name: 'London', flag: '🏴󠁧󠁢󠁥󠁮󠁧󠁿', path: '/london/' },\n46\t 'sr': { name: 'Serbian', flag: '🇷🇸', path: '/sr/' },\n47\t 'hr': { name: 'Croatian', flag: '🇭🇷', path: '/hr/' },\n48\t 'us': { name: 'United States', flag: '🇺🇸', path: '/', filterByCountry: 'usa', ga4Country: 'US' },\n49\t // Secondary Markets (from hreflang)\n50\t 'es': { name: 'Spanish', flag: '🇪🇸', path: '/es/' },\n51\t 'pt': { name: 'Portuguese', flag: '🇵🇹', path: '/pt/' },\n52\t 'de': { name: 'German', flag: '🇩🇪', path: '/de/' },\n53\t 'nl': { name: 'Dutch', flag: '🇳🇱', path: '/nl/' },\n54\t 'ro': { name: 'Romanian', flag: '🇷🇴', path: '/ro/' },\n55\t 'he': { name: 'Hebrew', flag: '🇮🇱', path: '/he/' },\n56\t 'cs': { name: 'Czech', flag: '🇨🇿', path: '/cs/' },\n57\t 'ru': { name: 'Russian', flag: '🇷🇺', path: '/ru/' },\n58\t 'pl': { name: 'Polish', flag: '🇵🇱', path: '/pl/' },\n59\t 'el': { name: 'Greek', flag: '🇬🇷', path: '/el/' },\n60\t 'ar': { name: 'Arabic', flag: '🇸🇦', path: '/ar/' },\n61\t 'fa': { name: 'Persian', flag: '🇮🇷', path: '/fa/' },\n62\t};\n63\t\n64\t// Month name helper for slug\n65\tconst MONTH_NAMES_SLUG = [\n66\t 'january', 'february', 'march', 'april', 'may', 'june',\n67\t 'july', 'august', 'september', 'october', 'november', 'december'\n68\t];\n69\t\n70\tfunction toSafeNumber(value: unknown): number {\n71\t if (typeof value === 'bigint') return Number(value);\n72\t if (typeof value === 'number') return value;\n73\t if (typeof value === 'string') return parseFloat(value) || 0;\n74\t if (value && typeof value === 'object' && 'toString' in value) {\n75\t return parseFloat(String(value)) || 0;\n76\t }\n77\t return 0;\n78\t}\n79\t\n80\t/**"}]},"uuid":"792be5b7-0070-4d30-a81c-bd0b02770f0c","timestamp":"2026-06-07T16:48:58.369Z","sourceToolAssistantUUID":"fdeb9017-f015-4fde-9b32-2de2bdd5f689","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"792be5b7-0070-4d30-a81c-bd0b02770f0c","isSidechain":true,"agentId":"aedeb51937c6cb90c","message":{"model":"claude-haiku-4-5-20251001","id":"msg_012hBkcq91X7rGVLBEewP3ut","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017iGxq6T3s9wDqHwRhS1aBN","name":"Read","input":{"file_path":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/config/route.ts","limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":3483,"cache_read_input_tokens":69806,"cache_creation":{"ephemeral_5m_input_tokens":3483,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEzGTSyysgyaR2thC2f","attributionAgent":"Explore","type":"assistant","uuid":"3ff27511-d769-4ae1-ac95-cd5fce073969","timestamp":"2026-06-07T16:48:58.762Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"3ff27511-d769-4ae1-ac95-cd5fce073969","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"aedeb51937c6cb90c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017iGxq6T3s9wDqHwRhS1aBN","type":"tool_result","content":"1\timport { NextRequest, NextResponse } from 'next/server';\n2\timport { getServerSession } from 'next-auth';\n3\timport { authOptions } from '@/lib/auth';\n4\timport { prisma } from '@/lib/prisma';\n5\t\n6\t/**\n7\t * GET /api/config\n8\t * Get all API configurations\n9\t */\n10\texport async function GET(request: NextRequest) {\n11\t try {\n12\t const session = await getServerSession(authOptions);\n13\t \n14\t if (!session?.user?.id) {\n15\t return NextResponse.json({ error: 'Unauthorized' }, { status: 401 });\n16\t }\n17\t\n18\t const configs = await prisma.apiConfig.findMany();\n19\t \n20\t // Mask API keys for security\n21\t const maskedConfigs = configs.map(config => ({\n22\t ...config,\n23\t apiKeyEncrypted: config.apiKeyEncrypted \n24\t ? '••••••••' + config.apiKeyEncrypted.slice(-4)\n25\t : null,\n26\t }));\n27\t\n28\t return NextResponse.json({ configs: maskedConfigs });\n29\t } catch (error) {\n30\t console.error('Error fetching configs:', error);\n31\t return NextResponse.json(\n32\t { error: error instanceof Error ? error.message : 'Failed to fetch configs' },\n33\t { status: 500 }\n34\t );\n35\t }\n36\t}\n37\t\n38\t/**\n39\t * POST /api/config\n40\t * Save API configuration\n41\t */\n42\texport async function POST(request: NextRequest) {\n43\t try {\n44\t const session = await getServerSession(authOptions);\n45\t \n46\t if (!session?.user?.id) {\n47\t return NextResponse.json({ error: 'Unauthorized' }, { status: 401 });\n48\t }\n49\t\n50\t const { provider, apiKey, login, password, accountId, propertyId, siteUrl } = await request.json();\n51\t\n52\t if (!provider) {\n53\t return NextResponse.json({ error: 'Provider is required' }, { status: 400 });\n54\t }\n55\t\n56\t // Validate provider\n57\t const validProviders = ['seomonitor', 'monitorank', 'dataforseo', 'google_analytics', 'google_search_console'];\n58\t if (!validProviders.includes(provider)) {\n59\t return NextResponse.json({ error: 'Invalid provider' }, { status: 400 });\n60\t }\n61\t\n62\t const config = await prisma.apiConfig.upsert({\n63\t where: { provider: provider as any },\n64\t update: {\n65\t apiKeyEncrypted: apiKey || undefined,\n66\t apiLogin: login || undefined,\n67\t accountId: accountId || undefined,\n68\t propertyId: propertyId || undefined,\n69\t siteUrl: siteUrl || undefined,\n70\t isActive: true,\n71\t },\n72\t create: {\n73\t provider: provider as any,\n74\t apiKeyEncrypted: apiKey || null,\n75\t apiLogin: login || null,\n76\t accountId: accountId || null,\n77\t propertyId: propertyId || null,\n78\t siteUrl: siteUrl || null,\n79\t isActive: true,\n80\t },\n81\t });\n82\t\n83\t return NextResponse.json({ \n84\t success: true, \n85\t message: `${provider} configuration saved`,\n86\t config: {\n87\t ...config,\n88\t apiKeyEncrypted: config.apiKeyEncrypted \n89\t ? '••••••••' + config.apiKeyEncrypted.slice(-4)\n90\t : null,\n91\t }\n92\t });\n93\t } catch (error) {\n94\t console.error('Error saving config:', error);\n95\t return NextResponse.json(\n96\t { error: error instanceof Error ? error.message : 'Failed to save config' },\n97\t { status: 500 }\n98\t );\n99\t }\n100\t}"}]},"uuid":"e078ac81-331e-4132-a138-6dadbad5a090","timestamp":"2026-06-07T16:48:58.801Z","sourceToolAssistantUUID":"3ff27511-d769-4ae1-ac95-cd5fce073969","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} 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{"parentUuid":"4f6dd8d3-16d4-4481-8261-eac062f175b5","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"aedeb51937c6cb90c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018WUqDqgoXHn4n15LjzSnNF","type":"tool_result","content":"1\timport NextAuth from 'next-auth';\n2\timport { authOptions } from '@/lib/auth';\n3\t\n4\tconst handler = NextAuth(authOptions);\n5\t\n6\texport { handler as GET, handler as POST };\n7\t\n8\t\n9\t\n10\t"}]},"uuid":"40334884-decd-4d1e-b516-f77d87c3475f","timestamp":"2026-06-07T16:48:58.949Z","sourceToolAssistantUUID":"4f6dd8d3-16d4-4481-8261-eac062f175b5","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} 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routes:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":3088,"cache_read_input_tokens":73289,"cache_creation":{"ephemeral_5m_input_tokens":3088,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEzWL8JN3qyF4tur6kb","attributionAgent":"Explore","type":"assistant","uuid":"0782fddf-5e54-4d0d-b4a4-22effa3a9873","timestamp":"2026-06-07T16:49:01.122Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} 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{"parentUuid":"c04bc67c-e75b-4247-b1fc-1ce9e4c08215","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"aedeb51937c6cb90c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XqT9ntRe8h6c3bbgRGLpvn","type":"tool_result","content":"1\timport { NextRequest, NextResponse } from 'next/server';\n2\timport { getServerSession } from 'next-auth';\n3\timport { authOptions } from '@/lib/auth';\n4\timport { getAnalyticsClient, getSearchConsoleClient, getMonthBounds } from '@/lib/google';\n5\timport { prisma } from '@/lib/prisma';\n6\timport { cache, CACHE_TTL, getGoogleDataCacheKey } from '@/lib/cache';\n7\t\n8\t// #region agent log\n9\tconst debugLog = (hypothesisId: string, message: string, data?: Record) => {\n10\t fetch('http://127.0.0.1:7242/ingest/912401b0-06b6-4527-a977-61810599d856',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({location:'market/[lang]/route.ts',message,data,timestamp:Date.now(),sessionId:'debug-session',hypothesisId})}).catch(()=>{});\n11\t};\n12\t// #endregion\n13\t\n14\t// =================================================================\n15\t// VERBOSE LOGGING HELPER\n16\t// =================================================================\n17\tfunction apiLog(emoji: string, category: string, message: string, data?: any) {\n18\t const timestamp = new Date().toISOString().split('T')[1].split('.')[0];\n19\t console.log(`[${timestamp}] ${emoji} [MARKET-API/${category}] ${message}`);\n20\t if (data !== undefined) {\n21\t if (typeof data === 'object' && data !== null) {\n22\t const lines = JSON.stringify(data, null, 2).split('\\n');\n23\t lines.forEach((line, i) => {\n24\t console.log(` ${i === 0 ? '└── ' : ' '}${line}`);\n25\t });\n26\t } else {\n27\t console.log(` └── ${data}`);\n28\t }\n29\t }\n30\t}\n31\t\n32\t// GA4 Property ID for emrahcinik.com\n33\tconst PROPERTY_ID = '305021969';\n34\tconst SITE_URL = 'sc-domain:emrahcinik.com';\n35\tconst SEOMONITOR_BASE_URL = 'https://apigw.seomonitor.com/v3';\n36\tconst MONITORANK_API_URL = 'https://api.monitorank.com/';\n37\t\n38\t// DEPRECATED: Migré vers Monitorank (avril 2026)\n39\tconst SEOMONITOR_CAMPAIGNS: Record = {};\n40\t\n41\t// Monitorank configuration for ALL markets\n42\t// Project 277706 (DR CINIK) contains all language versions\n43\tconst MONITORANK_CAMPAIGNS: Record = {\n44\t 'en': { projectId: '277706', version: 'en-uk' },\n45\t 'fr': { projectId: '277706', version: 'fr-fr' },\n46\t 'it': { projectId: '277706', version: 'it-it' },\n47\t 'london': { projectId: '277706', version: 'en-uk', group: 'LONDON' },\n48\t 'tr': { projectId: '277706', version: 'tr-tr' },\n49\t 'hr': { projectId: '277706', version: 'hr-hr' },\n50\t 'sr': { projectId: '277706', version: 'sr-rs' },\n51\t // US market - multi-city (keywords tracked in 5 US cities)\n52\t 'us': { projectId: '644511', isCityBased: true },\n53\t};\n54\t\n55\t// US Cities configuration - keywords are tracked for each city via location field\n56\tconst US_CITIES: Record = {\n57\t 'chicago': { name: 'Chicago', location: 'Chicago, Cook County, Illinois, United States' },\n58\t 'houston': { name: 'Houston', location: 'Houston, Harris, Texas, United States' },\n59\t 'new-york': { name: 'New York', location: 'New York City, New York County, New York, United States' },\n60\t 'phoenix': { name: 'Phoenix', location: 'Phoenix, Maricopa, Arizona, United States' },\n61\t 'los-angeles': { name: 'Los Angeles', location: 'Venice, Los Angeles, California, United States' },\n62\t};\n63\t\n64\t// Market URL path mappings\n65\t// Note: US market uses country filter (not path) - filterByCountry: 'usa' for GSC, 'United States' for GA4\n66\tconst MARKET_PATHS: Record = {\n67\t 'en': { name: 'English', flag: '🇬🇧', path: '/' },\n68\t 'fr': { name: 'French', flag: '🇫🇷', path: '/fr/' },\n69\t 'it': { name: 'Italian', flag: '🇮🇹', path: '/it/' },\n70\t 'tr': { name: 'Turkish', flag: '🇹🇷', path: '/tr/', ga4Country: 'TR' },\n71\t 'london': { name: 'London', flag: '🏴󠁧󠁢󠁥󠁮󠁧󠁿', path: '/london/' },\n72\t 'sr': { name: 'Serbian', flag: '🇷🇸', path: '/sr/', ga4Country: 'RS' },\n73\t 'hr': { name: 'Croatian', flag: '🇭🇷', path: '/hr/', ga4Country: 'HR' },\n74\t // US market: filter by country (no /us/ folder exists on the site)\n75\t 'us': { name: 'United States', flag: '🇺🇸', path: '/', filterByCountry: 'usa', ga4Country: 'US' },\n76\t 'es': { name: 'Spanish', flag: '🇪🇸', path: '/es/' },\n77\t 'pt': { name: 'Portuguese', flag: '🇵🇹', path: '/pt/' },\n78\t 'de': { name: 'German', flag: '🇩🇪', path: '/de/' },\n79\t 'nl': { name: 'Dutch', flag: '🇳🇱', path: '/nl/' },\n80\t 'ro': { name: 'Romanian', flag: '🇷🇴', path: '/ro/' },\n81\t 'he': { name: 'Hebrew', flag: '🇮🇱', path: '/he/' },\n82\t 'cs': { name: 'Czech', flag: '🇨🇿', path: '/cs/' },\n83\t 'ru': { name: 'Russian', flag: '🇷🇺', path: '/ru/' },\n84\t 'pl': { name: 'Polish', flag: '🇵🇱', path: '/pl/' },\n85\t 'el': { name: 'Greek', flag: '🇬🇷', path: '/el/' },\n86\t 'ar': { name: 'Arabic', flag: '🇸🇦', path: '/ar/' },\n87\t 'fa': { name: 'Persian', flag: '🇮🇷', path: '/fa/' },\n88\t};\n89\t\n90\tconst ZOHO_MARKETS = new Set(['en', 'fr', 'it', 'london']);\n91\t\n92\t// All language subfolders to exclude for English market\n93\tconst LANGUAGE_SUBFOLDERS = [\n94\t '/fr/', '/it/', '/es/', '/pt/', '/de/', '/nl/', '/ro/', '/he/',\n95\t '/cs/', '/ru/', '/pl/', '/el/', '/ar/', '/fa/', '/tr/', '/sr/', '/hr/', '/london/'\n96\t];\n97\t\n98\t// Check if a URL belongs to a specific language subfolder\n99\tfunction isLanguageSubfolder(url: string): boolean {\n100\t return LANGUAGE_SUBFOLDERS.some(lang => url.includes(lang));"}]},"uuid":"fd7856e7-6be7-45de-8b4b-bdd9d554f98f","timestamp":"2026-06-07T16:49:02.203Z","sourceToolAssistantUUID":"c04bc67c-e75b-4247-b1fc-1ce9e4c08215","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} 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pattern.test(url));\n18\t}\n19\t\n20\t// GET /api/competitors/[slug] - Get single competitor with details\n21\texport async function GET(request: NextRequest, { params }: RouteParams) {\n22\t try {\n23\t const { slug } = await params;\n24\t const url = new URL(request.url);\n25\t const marketParam = url.searchParams.get('market');\n26\t const period = url.searchParams.get('period') || 'last-month';\n27\t\n28\t const competitor = await prisma.competitor.findUnique({\n29\t where: { slug },\n30\t include: {\n31\t sitemaps: true,\n32\t marketPaths: true,\n33\t },\n34\t });\n35\t\n36\t if (!competitor) {\n37\t return NextResponse.json({ error: 'Competitor not found' }, { status: 404 });\n38\t }\n39\t\n40\t // Calculate date range - previous calendar month (December 2025 if we're in January 2026)\n41\t const now = new Date();\n42\t let startDate: Date;\n43\t let endDate: Date;\n44\t\n45\t switch (period) {\n46\t case 'last-3-months':\n47\t startDate = new Date(Date.UTC(now.getFullYear(), now.getMonth() - 3, 1, 0, 0, 0));\n48\t endDate = new Date(Date.UTC(now.getFullYear(), now.getMonth(), 0, 23, 59, 59, 999));\n49\t break;\n50\t case 'last-month':\n51\t default:\n52\t startDate = new Date(Date.UTC(now.getFullYear(), now.getMonth() - 1, 1, 0, 0, 0));\n53\t endDate = new Date(Date.UTC(now.getFullYear(), now.getMonth(), 0, 23, 59, 59, 999)); // Last day of previous month end of day\n54\t break;\n55\t }\n56\t\n57\t // Base filter: target markets + publishedDate in period\n58\t const baseFilter = {\n59\t competitorId: competitor.id,\n60\t market: { in: TARGET_MARKETS as unknown as string[] },\n61\t publishedDate: { gte: startDate, lte: endDate },\n62\t };\n63\t\n64\t // Get all posts for this period\n65\t const allPosts = await prisma.competitorPost.findMany({\n66\t where: baseFilter,\n67\t orderBy: { publishedDate: 'desc' },\n68\t });\n69\t\n70\t // Filter out non-target language URLs\n71\t const validPosts = allPosts.filter(p => isValidPostUrl(p.url));\n72\t\n73\t // Apply market filter if specified\n74\t const filteredPosts = marketParam \n75\t ? validPosts.filter(p => p.market === marketParam)\n76\t : validPosts;\n77\t\n78\t // Count by market\n79\t const postsByMarket = {\n80\t en: validPosts.filter(p => p.market === 'en').length,"}]},"uuid":"1079936f-ee51-49cd-b844-46216803f03b","timestamp":"2026-06-07T16:49:02.287Z","sourceToolAssistantUUID":"87b70d47-28ab-498d-aaf3-94b3201a00c5","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} 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{"parentUuid":"bee85032-36f5-4623-93df-c322505d98ca","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"aedeb51937c6cb90c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GZwVtonPPXfbYR7wT5Km8Y","type":"tool_result","content":"1\timport { NextRequest, NextResponse } from 'next/server';\n2\timport { prisma } from '@/lib/prisma';\n3\timport { generateCompetitorSlug, extractDomain } from '@/lib/competitors-utils';\n4\timport { extractCompetitorInfo } from '@/lib/scrapingbee';\n5\timport type { CompetitorFormData, CompetitorOverviewItem } from '@/types/competitors';\n6\t\n7\t// GET /api/competitors - List all competitors with summary\n8\texport async function GET() {\n9\t try {\n10\t const competitors = await prisma.competitor.findMany({\n11\t where: { isActive: true },\n12\t include: {\n13\t sitemaps: true,\n14\t marketPaths: true,\n15\t _count: {\n16\t select: { posts: true },\n17\t },\n18\t },\n19\t orderBy: { name: 'asc' },\n20\t });\n21\t\n22\t // Get last month date range\n23\t const lastMonthStart = new Date();\n24\t lastMonthStart.setMonth(lastMonthStart.getMonth() - 1);\n25\t lastMonthStart.setDate(1);\n26\t lastMonthStart.setHours(0, 0, 0, 0);\n27\t\n28\t // Get post counts and stats for each competitor\n29\t const competitorsWithStats: CompetitorOverviewItem[] = await Promise.all(\n30\t competitors.map(async (comp) => {\n31\t // Get posts by market\n32\t const postsByMarket = await prisma.competitorPost.groupBy({\n33\t by: ['market'],\n34\t where: { competitorId: comp.id },\n35\t _count: { id: true },\n36\t });\n37\t\n38\t // Get last month posts\n39\t const lastMonthPosts = await prisma.competitorPost.count({\n40\t where: {\n41\t competitorId: comp.id,\n42\t OR: [\n43\t { lastmod: { gte: lastMonthStart } },\n44\t { firstSeen: { gte: lastMonthStart } },\n45\t ],\n46\t },\n47\t });\n48\t\n49\t // Get last sync per market\n50\t const marketStats: CompetitorOverviewItem['markets'] = {\n51\t en: { postCount: 0, lastSync: null, status: null },\n52\t fr: { postCount: 0, lastSync: null, status: null },\n53\t it: { postCount: 0, lastSync: null, status: null },\n54\t };\n55\t\n56\t postsByMarket.forEach((mp) => {\n57\t const market = mp.market as 'en' | 'fr' | 'it';\n58\t if (marketStats[market]) {\n59\t marketStats[market].postCount = mp._count.id;\n60\t }\n61\t });\n62\t\n63\t // Get sitemap status per market\n64\t comp.sitemaps.forEach((sitemap) => {\n65\t const market = sitemap.market as 'en' | 'fr' | 'it' | null;\n66\t if (market && marketStats[market]) {\n67\t marketStats[market].lastSync = sitemap.lastFetched?.toISOString() || null;\n68\t marketStats[market].status = sitemap.lastStatus;\n69\t } else if (!market) {\n70\t // Single sitemap for all markets\n71\t Object.keys(marketStats).forEach((m) => {\n72\t const mk = m as 'en' | 'fr' | 'it';\n73\t if (!marketStats[mk].lastSync) {\n74\t marketStats[mk].lastSync = sitemap.lastFetched?.toISOString() || null;\n75\t marketStats[mk].status = sitemap.lastStatus;\n76\t }\n77\t });\n78\t }\n79\t });\n80\t"}]},"uuid":"73599984-569f-4634-abe1-6597b54855a5","timestamp":"2026-06-07T16:49:02.485Z","sourceToolAssistantUUID":"bee85032-36f5-4623-93df-c322505d98ca","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"} {"parentUuid":"73599984-569f-4634-abe1-6597b54855a5","isSidechain":true,"agentId":"aedeb51937c6cb90c","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01AFuZwDZvrHpmp9v71BhUMk","type":"message","role":"assistant","content":[{"type":"text","text":"Perfect! Now I have a comprehensive overview. Let me compile the complete inventory report:\n\n## COMPLETE API ROUTE & DATA-SYNC INVENTORY\n\n### PROJECT OVERVIEW\n**Application:** cinik-dash \n**Type:** Next.js 14 (App Router) + Prisma + PostgreSQL \n**Purpose:** Monthly SEO report dashboard for Dr. Cinik Hair Transplant Clinic \n**Auth:** NextAuth.js (session-based)\n\n---\n\n## 1. AUTHENTICATION ROUTES\n\n### `/api/auth/[...nextauth]`\n- **File:** `/src/app/api/auth/[...nextauth]/route.ts`\n- **Methods:** GET, POST\n- **Purpose:** NextAuth.js provider routes for login/logout/session management\n- **Auth:** NextAuth session-based\n- **Dependencies:** Google OAuth (via authOptions in `/lib/auth`)\n\n---\n\n## 2. REPORT GENERATION & MANAGEMENT\n\n### `POST /api/reports/generate`\n- **File:** `/src/app/api/reports/generate/route.ts`\n- **Purpose:** Generate a complete monthly report snapshot\n- **Auth:** Required (checks `session.user.id`)\n- **Input:**\n ```json\n {\n \"year\": 2025,\n \"month\": 12\n }\n ```\n- **Process:**\n 1. Fetches dashboard data (M-1 & Y-1 compare modes)\n 2. Fetches all primary markets (EN, FR, IT, TR, London, SR, HR, US)\n 3. Fetches discover data (Google Discover)\n 4. Fetches LLM traffic data\n 5. Fetches competitors overview\n 6. Fetches backlinks overview for period\n 7. Fetches each competitor's details + backlinks\n 8. Fetches monthly insights content\n 9. Fetches SEO news\n- **Output:** Creates/updates `MonthlyReport` record\n- **DB Fields Populated:**\n - `dashboardData` (JSON with m-1, y-1)\n - `marketsData` (JSON with m-1, y-1)\n - `discoverData` (JSON with m-1, y-1)\n - `llmData` (JSON with m-1, y-1)\n - `competitorsData`\n - `competitorDetailsData`\n - `backlinksData`\n - `insightsContent`\n - `newsData`\n\n### `GET /api/reports/list`\n- **File:** `/src/app/api/reports/list/route.ts`\n- **Purpose:** List all generated reports\n- **Auth:** None required\n- **Output:** Array of reports with id, slug, year, month, status, generatedAt, publishedAt\n\n### `GET /api/reports/[slug]`\n- **File:** `/src/app/api/reports/[slug]/route.ts`\n- **Purpose:** Fetch single report with all data\n- **Auth:** None required\n- **Output:** Complete report JSON with all nested data\n\n### `PUT /api/reports/[slug]`\n- **File:** `/src/app/api/reports/[slug]/route.ts`\n- **Purpose:** Update report status (draft → published)\n- **Auth:** Required (checks `session.user.id`)\n- **Input:**\n ```json\n {\n \"status\": \"published\"\n }\n ```\n- **Output:** Sets `status`, `publishedAt` timestamp\n\n### `DELETE /api/reports/[slug]`\n- **File:** `/src/app/api/reports/[slug]/route.ts`\n- **Purpose:** Delete a report\n- **Auth:** Required (checks `session.user.id`)\n\n---\n\n## 3. INSIGHTS & CONTENT MANAGEMENT\n\n### `GET /api/insights/content`\n- **File:** `/src/app/api/insights/content/route.ts`\n- **Purpose:** Retrieve monthly insights markdown content\n- **Auth:** Not enforced\n- **DB Source:** `Setting.key = \"monthly_insights_content\"`\n- **Output:**\n ```json\n {\n \"content\": \"markdown text\",\n \"updatedAt\": \"2025-12-15T10:00:00Z\"\n }\n ```\n\n### `POST /api/insights/content`\n- **File:** `/src/app/api/insights/content/route.ts`\n- **Purpose:** Save monthly insights content\n- **Auth:** Not enforced (should be protected)\n- **Input:**\n ```json\n {\n \"content\": \"markdown text\",\n \"updatedAt\": \"2025-12-15T10:00:00Z\"\n }\n ```\n- **DB Action:** Upsert `Setting` with key=\"monthly_insights_content\"\n\n### `GET /api/insights/news?year=YYYY&month=MM`\n- **File:** `/src/app/api/insights/news/route.ts`\n- **Purpose:** Fetch SEO news for specific month\n- **Auth:** Required (checks session)\n- **DB Source:** `Setting.key = \"seo-news-YYYY-MM\"`\n- **Output:**\n ```json\n {\n \"title\": \"SEO News December 2025\",\n \"year\": 2025,\n \"month\": 12,\n \"items\": [\n {\n \"id\": 1,\n \"title\": \"news item\",\n \"tldr\": \"short summary\",\n \"description\": \"full text\",\n \"forUs\": \"relevance to clinic\",\n \"sources\": [{\"title\": \"...\", \"url\": \"...\"}],\n \"color\": \"#1febf2\"\n }\n ],\n \"updatedAt\": \"2025-12-15T10:00:00Z\"\n }\n ```\n\n### `POST /api/insights/news`\n- **File:** `/src/app/api/insights/news/route.ts`\n- **Purpose:** Save SEO news for specific month\n- **Auth:** Required\n- **DB Action:** Upsert `Setting` with key=\"seo-news-YYYY-MM\"\n\n### `GET /api/insights/export?year=YYYY&month=MM`\n- **File:** `/src/app/api/insights/export/route.ts`\n- **Purpose:** Complete data export for analysis (markdown + raw JSON)\n- **Auth:** Required (checks session)\n- **Data Sources:**\n - **Google Analytics:** Channel, country, daily channel, 12-month trends\n - **Google Search Console:** Clicks, impressions, position, CTR, Discover metrics\n - **Zoho CSV:** Monthly leads by market (EN, FR, IT, London)\n - **Semrush CSV:** Ranking distribution by position buckets\n - **SEOMonitor API:** Keyword rankings (EN, FR, IT, London)\n - **Monitorank API:** Keyword rankings (TR, HR, SR, US multi-city)\n - **LLM Traffic:** ChatGPT, Perplexity, Claude, Gemini, Copilot, DeepSeek, Mistral, Meta AI, Poe, HuggingChat, You.com, Phind, Cohere, Groq, Character.AI, Pi\n- **Output:**\n ```json\n {\n \"markdown\": \"full report markdown\",\n \"data\": {\n \"reportMonth\": \"December 2025\",\n \"m1Label\": \"November 2025\",\n \"y1Label\": \"December 2024\",\n \"organic\": {\"current\": X, \"m1\": X, \"y1\": X},\n \"zohoTotal\": {\"current\": X, \"m1\": X, \"y1\": X},\n \"gsc\": {\"clicks\": {...}, \"impressions\": {...}, \"position\": {...}, \"ctr\": {...}},\n \"channels\": {...},\n \"markets\": [...],\n \"llmData\": {...},\n \"keywordsByMarket\": {...},\n \"monthlyData\": {...}\n }\n }\n ```\n\n---\n\n## 4. DASHBOARD & MARKET DATA\n\n### `GET /api/dashboard?year=YYYY&month=MM&compareMode=m-1|y-1&forceRefresh=true`\n- **File:** `/src/app/api/dashboard/route.ts`\n- **Purpose:** Fetch dashboard KPI summaries with comparison\n- **Auth:** Required\n- **Data Sources:**\n - Google Analytics (Property ID: 305021969)\n - Google Search Console (sc-domain:emrahcinik.com)\n- **Output:** KPIs for both compare modes\n\n### `GET /api/market/[lang]?year=YYYY&month=MM&compareMode=m-1|y-1&forceRefresh=true`\n- **File:** `/src/app/api/market/[lang]/route.ts`\n- **Purpose:** Fetch per-market performance (GSC, GA4, keyword rankings)\n- **Auth:** Required\n- **Markets Supported:** en, fr, it, tr, london, sr, hr, us, es, pt, de, nl, ro, he, cs, ru, pl, el, ar, fa\n- **Data Sources:**\n - Google Search Console (by URL path)\n - Google Analytics (by path or country)\n - SEOMonitor API (EN, FR, IT, London)\n - Monitorank API (TR, HR, SR, US cities: Chicago, Houston, NYC, Phoenix, LA)\n - Zoho CSV leads\n- **Output:**\n ```json\n {\n \"code\": \"en\",\n \"name\": \"English\",\n \"flag\": \"🇬🇧\",\n \"clicks\": {\"current\": X, \"m1\": X, \"y1\": X},\n \"position\": {\"current\": X, \"m1\": X, \"y1\": X},\n \"impressions\": {...},\n \"ctr\": {...},\n \"conversions\": {\"current\": X, \"m1\": X, \"y1\": X},\n \"keywords\": [...]\n }\n ```\n\n### `GET /api/discover?year=YYYY&month=MM&compareMode=m-1|y-1`\n- **File:** `/src/app/api/discover/route.ts`\n- **Purpose:** Google Discover metrics\n- **Auth:** Required\n- **Data Source:** Google Search Console (type: discover)\n\n### `GET /api/llm?year=YYYY&month=MM&compareMode=m-1|y-1`\n- **File:** `/src/app/api/llm/route.ts`\n- **Purpose:** LLM (AI) traffic from Chat platforms\n- **Auth:** Required\n- **Data Source:** Google Analytics (filtered by session source patterns)\n\n---\n\n## 5. EXTERNAL API SYNC ROUTES\n\n### `GET /api/sync/seomonitor`\n- **File:** `/src/app/api/sync/seomonitor/route.ts`\n- **Purpose:** List SEOMonitor campaigns\n- **Auth:** Required\n- **Auth Method:** API key via DB config or query param `?apiKey=`\n- **API:** `GET https://apigw.seomonitor.com/v3/dashboard/v3.0/campaigns/tracked` (Header: Authorization: {API_TOKEN})\n\n### `POST /api/sync/seomonitor`\n- **File:** `/src/app/api/sync/seomonitor/route.ts`\n- **Purpose:** Sync keyword rankings from SEOMonitor\n- **Auth:** Required\n- **Input:**\n ```json\n {\n \"campaignId\": 12345,\n \"marketCode\": \"en\",\n \"year\": 2025,\n \"month\": 12\n }\n ```\n- **API:** `GET https://apigw.seomonitor.com/v3/rank-tracker/v3.0/keywords`\n- **DB Action:** Writes to `KeywordRanking` table (source: 'seomonitor')\n- **Fields:** keyword, positionMobile, positionDesktop, searchVolume, landingPage\n\n### `GET /api/sync/monitorank`\n- **File:** `/src/app/api/sync/monitorank/route.ts`\n- **Purpose:** List Monitorank projects\n- **Auth:** Required\n- **Auth Method:** API key via DB config or query param `?apiKey=`\n- **API:** `GET https://api.monitorank.com/?key={API_KEY}&module=project&action=list`\n\n### `POST /api/sync/monitorank`\n- **File:** `/src/app/api/sync/monitorank/route.ts`\n- **Purpose:** Sync keyword rankings from Monitorank\n- **Auth:** Required\n- **Input:**\n ```json\n {\n \"projectId\": \"277706\",\n \"marketCode\": \"tr\",\n \"year\": 2025,\n \"month\": 12\n }\n ```\n- **API:** `GET https://api.monitorank.com/?key={API_KEY}&module=query&action=list&id_project={projectId}`\n- **DB Action:** Writes to `KeywordRanking` table (source: 'monitorank')\n\n### `POST /api/sync/dataforseo`\n- **File:** `/src/app/api/sync/dataforseo/route.ts`\n- **Purpose:** Sync keyword rankings from DataForSEO\n- **Auth:** Required\n- **Auth Method:** Base64 encoded `{login}:{apiKey}` header\n- **Input:**\n ```json\n {\n \"keywords\": [\"hair transplant\", \"fue technique\"],\n \"marketCode\": \"en\",\n \"year\": 2025,\n \"month\": 12,\n \"location\": \"United Kingdom\",\n \"language\": \"English\",\n \"device\": \"desktop\"\n }\n ```\n- **API:** `POST https://api.dataforseo.com/v3/serp/google/organic/live/regular`\n- **DB Action:** Writes to `KeywordRanking` table (source: 'dataforseo')\n\n---\n\n## 6. GOOGLE API ROUTES\n\n### `GET /api/google/search-console?siteUrl=&type=web|discover&year=&month=&market=`\n- **File:** `/src/app/api/google/search-console/route.ts`\n- **Purpose:** Fetch Search Console data (Web Search & Discover)\n- **Auth:** Required (uses OAuth token from session)\n- **Data Source:** Google Search Console API via OAuth\n- **Output:** Clicks, impressions, CTR, avg position, top pages, top queries\n\n### `GET /api/google/analytics?propertyId=305021969&year=&month=`\n- **File:** `/src/app/api/google/analytics/route.ts`\n- **Purpose:** Fetch Google Analytics 4 data\n- **Auth:** Required (uses OAuth token from session)\n- **Data Source:** Google Analytics 4 API via OAuth\n- **Output:** By channel, country, daily trends\n\n### `GET /api/google/accounts`\n- **File:** `/src/app/api/google/accounts/route.ts`\n- **Purpose:** List Google Accounts & properties\n- **Auth:** Required\n\n---\n\n## 7. COMPETITOR INTELLIGENCE ROUTES\n\n### `GET /api/competitors`\n- **File:** `/src/app/api/competitors/route.ts`\n- **Purpose:** List all active competitors with stats\n- **Auth:** Not enforced\n- **DB Source:** `Competitor` table (isActive: true)\n- **Output:**\n ```json\n {\n \"competitors\": [\n {\n \"id\": 1,\n \"slug\": \"competitor-1\",\n \"name\": \"Competitor Name\",\n \"domain\": \"example.com\",\n \"isOwnBrand\": false,\n \"logoUrl\": \"...\",\n \"faviconUrl\": \"...\",\n \"sitemaps\": [...],\n \"markets\": {...}\n }\n ]\n }\n ```\n\n### `GET /api/competitors/[slug]?market=&period=last-month|last-3-months`\n- **File:** `/src/app/api/competitors/[slug]/route.ts`\n- **Purpose:** Get single competitor with blog posts\n- **Auth:** Not enforced\n- **DB Source:** `CompetitorPost` for given period & market\n- **Output:** Competitor info + posts (title, URL, published date, featured image)\n\n### `POST /api/competitors/[slug]`\n- **File:** `/src/app/api/competitors/[slug]/route.ts`\n- **Purpose:** Create/update competitor\n- **Auth:** Required\n- **Input:**\n ```json\n {\n \"name\": \"Competitor Name\",\n \"domain\": \"example.com\",\n \"homeUrl\": \"https://example.com\",\n \"isOwnBrand\": false\n }\n ```\n- **External Call:** ScrapingBee API to extract logo & favicon\n- **DB Action:** Create/update `Competitor` record\n\n### `GET /api/competitors/overview?period=last-month|last-3-months`\n- **File:** `/src/app/api/competitors/overview/route.ts`\n- **Purpose:** Aggregated competitor stats\n- **Auth:** Not enforced\n- **Output:**\n ```json\n {\n \"period\": \"December 2025\",\n \"totalPosts\": 150,\n \"postsByMarket\": {\"en\": 50, \"fr\": 40, \"it\": 30},\n \"byCompetitor\": [\n {\n \"slug\": \"comp1\",\n \"name\": \"Competitor 1\",\n \"postsCount\": 45,\n \"byMarket\": {...}\n }\n ],\n \"mostActiveCompetitor\": {...},\n \"mostActiveMarket\": \"en\"\n }\n ```\n\n### `GET /api/competitors/[slug]/backlinks?period=YYYY-MM`\n- **File:** `/src/app/api/competitors/[slug]/backlinks/route.ts`\n- **Purpose:** Get competitor backlinks for period\n- **Auth:** Not enforced\n- **DB Source:** `CompetitorBacklink` table\n- **Output:**\n ```json\n {\n \"competitor\": {...},\n \"backlinks\": [\n {\n \"url\": \"...\",\n \"domain\": \"...\",\n \"domainRating\": 45,\n \"traffic\": 1200,\n \"country\": \"US\",\n \"category\": \"press_release\",\n \"isDofollow\": true,\n \"firstSeen\": \"2025-12-01\"\n }\n ],\n \"stats\": {\n \"total\": 120,\n \"dofollow\": 85,\n \"avgDomainRating\": 42.5,\n \"byCategory\": {...},\n \"byCountry\": {...}\n },\n \"availablePeriods\": [...]\n }\n ```\n\n### `POST /api/competitors/[slug]/backlinks`\n- **File:** `/src/app/api/competitors/[slug]/backlinks/route.ts`\n- **Purpose:** Import backlinks from JSON\n- **Auth:** Not enforced\n- **Input:**\n ```json\n {\n \"meta\": {\n \"period\": \"2025-12\"\n },\n \"backlinks\": [\n {\n \"url\": \"https://...\",\n \"domain\": \"...\",\n \"domainRating\": 45,\n \"traffic\": 1200,\n \"country\": \"US\",\n \"language\": \"en\",\n \"category\": \"press_release\",\n \"isDofollow\": true,\n \"firstSeen\": \"2025-12-01\",\n \"comment\": \"...\"\n }\n ]\n }\n ```\n- **DB Action:** Create `CompetitorBacklink` records (upsert by URL)\n\n### `GET /api/competitors/backlinks/overview?period=YYYY-MM`\n- **File:** `/src/app/api/competitors/backlinks/overview/route.ts`\n- **Purpose:** Aggregated backlinks overview across all competitors\n- **Auth:** Not enforced\n- **Output:**\n ```json\n {\n \"period\": \"2025-12\",\n \"totalBacklinks\": 1500,\n \"totalDofollow\": 950,\n \"avgDomainRating\": 38.2,\n \"byCountry\": [\n {\"country\": \"US\", \"count\": 400, \"dofollow\": 280, \"traffic\": 150000}\n ],\n \"byCompetitor\": [\n {\n \"slug\": \"comp1\",\n \"name\": \"Competitor 1\",\n \"count\": 450,\n \"avgDr\": 42.1,\n \"traffic\": 50000,\n \"topCountries\": [...]\n }\n ],\n \"recentBacklinks\": [...]\n }\n ```\n\n### `GET /api/competitors/[slug]/posts?market=&period=`\n- **File:** `/src/app/api/competitors/[slug]/posts/route.ts`\n- **Purpose:** Fetch competitor posts\n- **Auth:** Not enforced\n\n### `POST /api/competitors/sync`\n- **File:** `/src/app/api/competitors/sync/route.ts`\n- **Purpose:** Sync competitor sitemaps & posts\n- **Auth:** Required\n- **Process:** Fetches sitemaps, parses for blog posts, extracts metadata via ScrapingBee\n- **DB Action:** Creates `CompetitorPost` records\n\n### `POST /api/competitors/fetch-details`\n- **File:** `/src/app/api/competitors/fetch-details/route.ts`\n- **Purpose:** Extract post details (title, description, image) via ScrapingBee\n- **Auth:** Required\n\n---\n\n## 8. DATA IMPORT ROUTES\n\n### `POST /api/import/zoho`\n- **File:** `/src/app/api/import/zoho/route.ts`\n- **Purpose:** Import monthly leads from Zoho CSV\n- **Auth:** Required\n- **Input:** CSV file with columns: \"Months\", \"Total SEO\", \"SEO EN\", \"SEO FR\", \"SEO IT\", \"SEO London\", \"SEO Autres\"\n- **CSV Parsing:** Supports French month names (janvier, février, etc.) and dates like \"01/2025\"\n- **DB Action:** Creates/updates `MonthlyLead` records by market code\n- **Fields Populated:**\n - `month` (first day of month, UTC)\n - `marketCode` (en, fr, it, london, other)\n - `leads` (count)\n\n### `POST /api/import/semrush`\n- **File:** `/src/app/api/import/semrush/route.ts`\n- **Purpose:** Import Semrush ranking distribution from CSV\n- **Auth:** Required\n- **Input:** CSV with columns: Month, Top 1-3, Top 4-10, Top 11-20, ..., Top 91-100\n- **CSV Parsing:** Supports French month names (\"déc. 2025\") and English (\"December 2025\")\n- **DB Action:** Creates/updates `SemrushRanking` records\n- **Fields Populated:**\n - `month`\n - `marketCode` (en, fr, it, tr)\n - `top1_3`, `top4_10`, `top11_20`, ..., `top91_100`\n\n### `POST /api/import/semrush/manual`\n- **File:** `/src/app/api/import/semrush/manual/route.ts`\n- **Purpose:** Manual Semrush import via JSON API\n- **Auth:** Required\n\n### `POST /api/import/data`\n- **File:** `/src/app/api/import/data/route.ts`\n- **Purpose:** Generic data import endpoint\n- **Auth:** Required\n\n### `GET /api/import/status`\n- **File:** `/src/app/api/import/status/route.ts`\n- **Purpose:** Check import/sync status\n- **Auth:** Required\n\n### `POST /api/import/sync`\n- **File:** `/src/app/api/import/sync/route.ts`\n- **Purpose:** Trigger full sync across all data sources\n- **Auth:** Required\n\n---\n\n## 9. CONFIGURATION & UTILITY ROUTES\n\n### `GET /api/config`\n- **File:** `/src/app/api/config/route.ts`\n- **Purpose:** List all API configurations (masked keys)\n- **Auth:** Required\n\n### `POST /api/config`\n- **File:** `/src/app/api/config/route.ts`\n- **Purpose:** Save API configuration\n- **Auth:** Required\n- **Input:**\n ```json\n {\n \"provider\": \"seomonitor|monitorank|dataforseo|google_analytics|google_search_console\",\n \"apiKey\": \"...\",\n \"login\": \"...\",\n \"accountId\": \"...\",\n \"propertyId\": \"...\",\n \"siteUrl\": \"...\"\n }\n ```\n- **DB Action:** Upsert `ApiConfig` record\n\n### `GET /api/test-connection`\n- **File:** `/src/app/api/test-connection/route.ts`\n- **Purpose:** Test external API connectivity\n- **Auth:** Required\n\n### `GET /api/llm`\n- **File:** `/src/app/api/llm/route.ts`\n- **Purpose:** LLM traffic metrics\n- **Auth:** Required\n\n---\n\n## 10. OTHER ROUTES\n\n### `POST /rankings-cinik/app/api/refresh`\n- **File:** `/rankings-cinik/app/api/refresh/route.ts`\n- **Purpose:** Legacy refresh endpoint (appears to be old project)\n\n---\n\n## SUMMARY TABLE: MONTHLY REPORT JSON FIELDS\n\n| Field | Source | API Routes | Automation Level | Frequency |\n|-------|--------|-----------|------------------|-----------|\n| `dashboardData` | GA4, GSC | /api/dashboard | Full API | On-demand |\n| `marketsData` | GA4, GSC, SEOMonitor, Monitorank | /api/market/[lang] | Full API | On-demand |\n| `discoverData` | GSC | /api/discover | Full API | On-demand |\n| `llmData` | GA4 | /api/llm | Full API | On-demand |\n| `competitorsData` | DB (posts) | /api/competitors/overview | Partial* | Manual sitemap sync |\n| `competitorDetailsData` | DB (posts) | /api/competitors/[slug] | Partial* | Manual sitemap sync |\n| `backlinksData` | DB | /api/competitors/backlinks/overview | Manual** | Manual JSON import |\n| `insightsContent` | Settings table | /api/insights/content | Manual | Manual edit |\n| `newsData` | Settings table | /api/insights/news | Manual | Manual edit |\n\n**Legend:**\n- **Full API** = Automatic via external API (no manual step needed)\n- **Partial*** = Requires sitemap URLs in DB; post fetching automated via ScrapingBee\n- **Manual**** = Requires JSON file import\n\n---\n\n## KEY FINDINGS\n\n### Fully Automatable Routes (No Manual CSV/File Upload)\n1. **Dashboard KPIs** - `/api/dashboard` (GA4, GSC)\n2. **Market data** - `/api/market/[lang]` (GA4, GSC, ranking APIs)\n3. **Keyword rankings** - SEOMonitor, Monitorank, DataForSEO APIs\n4. **Discover metrics** - `/api/discover` (GSC)\n5. **LLM traffic** - `/api/llm` (GA4)\n6. **Competitor posts** - `/api/competitors/[slug]` (if sitemaps in DB; auto-fetches via ScrapingBee)\n\n### Currently Requiring Manual File Upload\n1. **Zoho leads** - CSV upload via `/api/import/zoho`\n2. **Semrush rankings** - CSV upload via `/api/import/semrush`\n3. **Competitor backlinks** - JSON import via `/api/competitors/[slug]/backlinks` (POST)\n4. **Insights content** - Manual markdown edit via `/api/insights/content`\n5. **SEO news** - Manual JSON edit via `/api/insights/news`\n\n### Auth Mechanism\n- **NextAuth.js** with Google OAuth\n- Protected routes check `session.user.id`\n- Some competitor routes don't enforce auth (oversight?)\n\n### Cron-Eligible Routes\nThese could be scheduled for automated execution:\n- `/api/reports/generate` (scheduled monthly)\n- `/api/sync/monitorank`, `/api/sync/seomonitor` (scheduled weekly)\n- `/api/competitors/sync` (scheduled weekly)\n\n---\n\nThis inventory covers all 34 API routes in the application, their exact file locations, input/output schemas, data sources, and DB interactions. The report generation orchestrates 9+ internal API calls to compose the final monthly snapshot."}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":4726,"cache_read_input_tokens":76377,"output_tokens":7057,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":4726},"inference_geo":"not_available","iterations":[{"input_tokens":6,"output_tokens":7057,"cache_read_input_tokens":76377,"cache_creation_input_tokens":4726,"cache_creation":{"ephemeral_5m_input_tokens":4726,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbpEzmfNJ6kcpm61yYtVd","attributionAgent":"Explore","type":"assistant","uuid":"93a77cb9-8344-4023-b9fa-c70ec675a4a3","timestamp":"2026-06-07T16:49:52.395Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate","sessionId":"5c79ced8-8c91-47a0-a9c5-54e5c5f0ee15","version":"2.1.168","gitBranch":"tom/auto-populate","slug":"j-aimerais-cr-er-le-rapport-polished-hennessy"}