{"parentUuid":null,"isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":"Explore the repo at /opt/projects/.dashboard-cinik-worktrees/tom-auto-populate (a Next.js 14 + Prisma app named \"cinik-dash\" — a monthly SEO report dashboard for Dr Cinik).\n\nI need a COMPLETE picture of the data model and how a monthly report is stored. Be thorough.\n\n1. Read `prisma/schema.prisma` IN FULL. List every model, its fields, types, and relations. Pay special attention to: the monthly report model (likely `MonthlyReport` / `monthly_reports`), any `Setting`/`settings` key-value model, competitor + backlink models, and any per-market metric models (leads, traffic, positions, keywords, LLM traffic, discover).\n\n2. For the monthly report model specifically: enumerate EVERY field and explain (from field names / usage in code) what JSON shape each \"data\" field holds — e.g. fields like `leadsData`, `positionsData`, `trafficData`, `llmData`, `discoverData`, `backlinksData`, `insightsContent`, `newsData`, `competitorDetailsData`, status/slug/period fields. Grep the codebase (src/lib, src/app) for where these fields are read/written to infer their JSON structure. Show representative TypeScript types/interfaces if they exist (look in src/types and src/lib).\n\n3. Identify the DB provider (sqlite/turso/postgres?) and where the connection string comes from (.env.local keys, not values).\n\n4. Note any seed scripts or migration files under prisma/.\n\nReport back: a structured summary of the schema, the exact JSON field shapes for the monthly report, the settings keys used (e.g. `monthly_insights_content`, `seo-news-YYYY-MM`), and file paths for the key types/interfaces. Quote the relevant schema lines with file:line references."},"uuid":"b579eed8-6239-4219-a726-45320578723d","timestamp":"2026-06-07T16:48:14.268Z","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":"b579eed8-6239-4219-a726-45320578723d","isSidechain":true,"agentId":"a827a7870f54fe8d0","attachment":{"type":"deferred_tools_delta","addedNames":["CronCreate","CronDelete","CronList","EnterWorktree","ExitWorktree","ListMcpResourcesTool","Monitor","PushNotification","ReadMcpResourceTool","RemoteTrigger","TaskCreate","TaskGet","TaskList","TaskStop","TaskUpdate","WebFetch","WebSearch","mcp__EstimanouContent__add_article_block","mcp__EstimanouContent__add_block","mcp__EstimanouContent__create_article","mcp__EstimanouContent__create_page","mcp__EstimanouContent__delete_article","mcp__EstimanouContent__delete_article_block","mcp__EstimanouContent__delete_block","mcp__EstimanouContent__get_article","mcp__EstimanouContent__get_city_page","mcp__EstimanouContent__get_page","mcp__EstimanouContent__list_articles","mcp__EstimanouContent__list_available_blocks","mcp__EstimanouContent__list_city_pages","mcp__EstimanouContent__list_pages","mcp__EstimanouContent__list_site_urls","mcp__EstimanouContent__reorder_article_blocks","mcp__EstimanouContent__reorder_blocks","mcp__EstimanouContent__replace_article_content","mcp__EstimanouContent__replace_city_seo_content","mcp__EstimanouContent__replace_page_layout","mcp__EstimanouContent__search_internal_links","mcp__EstimanouContent__update_article","mcp__EstimanouContent__update_article_block","mcp__EstimanouContent__update_block","mcp__EstimanouContent__update_city_page_content","mcp__claude_ai_Ahref__batch-analysis","mcp__claude_ai_Ahref__brand-radar-ai-responses","mcp__claude_ai_Ahref__brand-radar-ai-responses-entities","mcp__claude_ai_Ahref__brand-radar-cited-domains","mcp__claude_ai_Ahref__brand-radar-cited-domains-entities","mcp__claude_ai_Ahref__brand-radar-cited-pages","mcp__claude_ai_Ahref__brand-radar-cited-pages-entities","mcp__claude_ai_Ahref__brand-radar-impressions-history","mcp__claude_ai_Ahref__brand-radar-impressions-history-entities","mcp__claude_ai_Ahref__brand-radar-impressions-overview","mcp__claude_ai_Ahref__brand-radar-impressions-overview-entities","mcp__claude_ai_Ahref__brand-radar-mentions-history","mcp__claude_ai_Ahref__brand-radar-mentions-history-entities","mcp__claude_ai_Ahref__brand-radar-mentions-overview","mcp__claude_ai_Ahref__brand-radar-mentions-overview-entities","mcp__claude_ai_Ahref__brand-radar-sov-history","mcp__claude_ai_Ahref__brand-radar-sov-history-entities","mcp__claude_ai_Ahref__brand-radar-sov-overview","mcp__claude_ai_Ahref__brand-radar-sov-overview-entities","mcp__claude_ai_Ahref__doc","mcp__claude_ai_Ahref__gsc-anonymous-queries","mcp__claude_ai_Ahref__gsc-ctr-by-position","mcp__claude_ai_Ahref__gsc-keyword-history","mcp__claude_ai_Ahref__gsc-keywords","mcp__claude_ai_Ahref__gsc-metrics-by-country","mcp__claude_ai_Ahref__gsc-page-history","mcp__claude_ai_Ahref__gsc-pages","mcp__claude_ai_Ahref__gsc-pages-history","mcp__claude_ai_Ahref__gsc-performance-by-device","mcp__claude_ai_Ahref__gsc-performance-by-position","mcp__claude_ai_Ahref__gsc-performance-history","mcp__claude_ai_Ahref__gsc-positions-history","mcp__claude_ai_Ahref__keywords-explorer-matching-terms","mcp__claude_ai_Ahref__keywords-explorer-overview","mcp__claude_ai_Ahref__keywords-explorer-related-terms","mcp__claude_ai_Ahref__keywords-explorer-search-suggestions","mcp__claude_ai_Ahref__keywords-explorer-volume-by-country","mcp__claude_ai_Ahref__keywords-explorer-volume-history","mcp__claude_ai_Ahref__management-brand-radar-prompts","mcp__claude_ai_Ahref__management-brand-radar-reports","mcp__claude_ai_Ahref__management-keyword-list-keywords","mcp__claude_ai_Ahref__management-locations","mcp__claude_ai_Ahref__management-project-competitors","mcp__claude_ai_Ahref__management-project-keywords","mcp__claude_ai_Ahref__management-projects","mcp__claude_ai_Ahref__public-crawler-ip-ranges","mcp__claude_ai_Ahref__public-crawler-ips","mcp__claude_ai_Ahref__rank-tracker-competitors-domains","mcp__claude_ai_Ahref__rank-tracker-competitors-overview","mcp__claude_ai_Ahref__rank-tracker-competitors-pages","mcp__claude_ai_Ahref__rank-tracker-competitors-stats","mcp__claude_ai_Ahref__rank-tracker-overview","mcp__claude_ai_Ahref__rank-tracker-serp-overview","mcp__claude_ai_Ahref__render-data-table","mcp__claude_ai_Ahref__render-scorecard","mcp__claude_ai_Ahref__render-time-series-chart","mcp__claude_ai_Ahref__serp-overview","mcp__claude_ai_Ahref__site-audit-issues","mcp__claude_ai_Ahref__site-audit-page-content","mcp__claude_ai_Ahref__site-audit-page-explorer","mcp__claude_ai_Ahref__site-audit-projects","mcp__claude_ai_Ahref__site-explorer-all-backlinks","mcp__claude_ai_Ahref__site-explorer-anchors","mcp__claude_ai_Ahref__site-explorer-backlinks-stats","mcp__claude_ai_Ahref__site-explorer-broken-backlinks","mcp__claude_ai_Ahref__site-explorer-crawled-pages","mcp__claude_ai_Ahref__site-explorer-domain-rating","mcp__claude_ai_Ahref__site-explorer-domain-rating-history","mcp__claude_ai_Ahref__site-explorer-keywords-history","mcp__claude_ai_Ahref__site-explorer-linked-anchors-external","mcp__claude_ai_Ahref__site-explorer-linked-anchors-internal","mcp__claude_ai_Ahref__site-explorer-linked-domains","mcp__claude_ai_Ahref__site-explorer-metrics","mcp__claude_ai_Ahref__site-explorer-metrics-by-country","mcp__claude_ai_Ahref__site-explorer-metrics-history","mcp__claude_ai_Ahref__site-explorer-organic-competitors","mcp__claude_ai_Ahref__site-explorer-organic-keywords","mcp__claude_ai_Ahref__site-explorer-outlinks-stats","mcp__claude_ai_Ahref__site-explorer-pages-by-backlinks","mcp__claude_ai_Ahref__site-explorer-pages-by-internal-links","mcp__claude_ai_Ahref__site-explorer-pages-by-traffic","mcp__claude_ai_Ahref__site-explorer-pages-history","mcp__claude_ai_Ahref__site-explorer-paid-pages","mcp__claude_ai_Ahref__site-explorer-refdomains-history","mcp__claude_ai_Ahref__site-explorer-referring-domains","mcp__claude_ai_Ahref__site-explorer-top-pages","mcp__claude_ai_Ahref__site-explorer-total-search-volume-history","mcp__claude_ai_Ahref__site-explorer-url-rating-history","mcp__claude_ai_Ahref__social-media-activity-history","mcp__claude_ai_Ahref__social-media-authors","mcp__claude_ai_Ahref__social-media-channel-metrics","mcp__claude_ai_Ahref__social-media-channels","mcp__claude_ai_Ahref__social-media-post-metrics","mcp__claude_ai_Ahref__social-media-posts","mcp__claude_ai_Ahref__subscription-info-limits-and-usage","mcp__claude_ai_Ahref__web-analytics-browser-versions","mcp__claude_ai_Ahref__web-analytics-browser-versions-chart","mcp__claude_ai_Ahref__web-analytics-browsers","mcp__claude_ai_Ahref__web-analytics-browsers-chart","mcp__claude_ai_Ahref__web-analytics-chart","mcp__claude_ai_Ahref__web-analytics-cities","mcp__claude_ai_Ahref__web-analytics-cities-chart","mcp__claude_ai_Ahref__web-analytics-continents","mcp__claude_ai_Ahref__web-analytics-continents-chart","mcp__claude_ai_Ahref__web-analytics-countries","mcp__claude_ai_Ahref__web-analytics-countries-chart","mcp__claude_ai_Ahref__web-analytics-devices","mcp__claude_ai_Ahref__web-analytics-devices-chart","mcp__claude_ai_Ahref__web-analytics-entry-pages","mcp__claude_ai_Ahref__web-analytics-entry-pages-chart","mcp__claude_ai_Ahref__web-analytics-exit-pages","mcp__claude_ai_Ahref__web-analytics-exit-pages-chart","mcp__claude_ai_Ahref__web-analytics-languages","mcp__claude_ai_Ahref__web-analytics-languages-chart","mcp__claude_ai_Ahref__web-analytics-operating-systems","mcp__claude_ai_Ahref__web-analytics-operating-systems-chart","mcp__claude_ai_Ahref__web-analytics-operating-systems-versions","mcp__claude_ai_Ahref__web-analytics-operating-systems-versions-chart","mcp__claude_ai_Ahref__web-analytics-referrers","mcp__claude_ai_Ahref__web-analytics-referrers-chart","mcp__claude_ai_Ahref__web-analytics-source-channels","mcp__claude_ai_Ahref__web-analytics-source-channels-chart","mcp__claude_ai_Ahref__web-analytics-sources","mcp__claude_ai_Ahref__web-analytics-sources-chart","mcp__claude_ai_Ahref__web-analytics-stats","mcp__claude_ai_Ahref__web-analytics-top-pages","mcp__claude_ai_Ahref__web-analytics-top-pages-chart","mcp__claude_ai_Ahref__web-analytics-utm-params","mcp__claude_ai_Ahref__web-analytics-utm-params-chart","mcp__claude_ai_Canva__cancel-editing-transaction","mcp__claude_ai_Canva__comment-on-design","mcp__claude_ai_Canva__commit-editing-transaction","mcp__claude_ai_Canva__copy-design","mcp__claude_ai_Canva__create-design-from-brand-template","mcp__claude_ai_Canva__create-design-from-candidate","mcp__claude_ai_Canva__create-folder","mcp__claude_ai_Canva__export-design","mcp__claude_ai_Canva__generate-design","mcp__claude_ai_Canva__generate-design-structured","mcp__claude_ai_Canva__get-assets","mcp__claude_ai_Canva__get-brand-template-dataset","mcp__claude_ai_Canva__get-design","mcp__claude_ai_Canva__get-design-candidates","mcp__claude_ai_Canva__get-design-content","mcp__claude_ai_Canva__get-design-pages","mcp__claude_ai_Canva__get-design-thumbnail","mcp__claude_ai_Canva__get-export-formats","mcp__claude_ai_Canva__get-presenter-notes","mcp__claude_ai_Canva__help","mcp__claude_ai_Canva__import-design-from-url","mcp__claude_ai_Canva__list-brand-kits","mcp__claude_ai_Canva__list-comments","mcp__claude_ai_Canva__list-folder-items","mcp__claude_ai_Canva__list-replies","mcp__claude_ai_Canva__merge-designs","mcp__claude_ai_Canva__move-item-to-folder","mcp__claude_ai_Canva__perform-editing-operations","mcp__claude_ai_Canva__publish-brand-template","mcp__claude_ai_Canva__reply-to-comment","mcp__claude_ai_Canva__request-outline-review","mcp__claude_ai_Canva__resize-design","mcp__claude_ai_Canva__resolve-shortlink","mcp__claude_ai_Canva__search-brand-templates","mcp__claude_ai_Canva__search-designs","mcp__claude_ai_Canva__search-folders","mcp__claude_ai_Canva__start-editing-transaction","mcp__claude_ai_Canva__upload-asset-from-url","mcp__claude_ai_DATA_GOUV_FR__get_dataservice_info","mcp__claude_ai_DATA_GOUV_FR__get_dataservice_openapi_spec","mcp__claude_ai_DATA_GOUV_FR__get_dataset_info","mcp__claude_ai_DATA_GOUV_FR__get_metrics","mcp__claude_ai_DATA_GOUV_FR__get_resource_info","mcp__claude_ai_DATA_GOUV_FR__list_dataset_resources","mcp__claude_ai_DATA_GOUV_FR__query_resource_data","mcp__claude_ai_DATA_GOUV_FR__search_dataservices","mcp__claude_ai_DATA_GOUV_FR__search_datasets","mcp__claude_ai_DATA_GOUV_FR__search_organizations","mcp__claude_ai_Data_For_SEO__authenticate","mcp__claude_ai_Data_For_SEO__complete_authentication","mcp__claude_ai_Esteworld-Body__add_block","mcp__claude_ai_Esteworld-Body__delete_block","mcp__claude_ai_Esteworld-Body__find_esteworld_page","mcp__claude_ai_Esteworld-Body__fix_global_blocks","mcp__claude_ai_Esteworld-Body__get_block","mcp__claude_ai_Esteworld-Body__get_blocks_library","mcp__claude_ai_Esteworld-Body__get_breadcrumb","mcp__claude_ai_Esteworld-Body__get_fr_en_mapping","mcp__claude_ai_Esteworld-Body__get_internal_links","mcp__claude_ai_Esteworld-Body__get_internal_links_en","mcp__claude_ai_Esteworld-Body__get_maillage_rules","mcp__claude_ai_Esteworld-Body__get_page","mcp__claude_ai_Esteworld-Body__get_page_json","mcp__claude_ai_Esteworld-Body__get_page_status","mcp__claude_ai_Esteworld-Body__get_redirections","mcp__claude_ai_Esteworld-Body__get_section_content","mcp__claude_ai_Esteworld-Body__get_thematique_pages","mcp__claude_ai_Esteworld-Body__get_translation_languages","mcp__claude_ai_Esteworld-Body__list_pages","mcp__claude_ai_Esteworld-Body__list_pages_by_thematique","mcp__claude_ai_Esteworld-Body__list_pages_by_type","mcp__claude_ai_Esteworld-Body__list_pages_to_create","mcp__claude_ai_Esteworld-Body__list_pages_to_rewrite","mcp__claude_ai_Esteworld-Body__list_pages_with_esteworld","mcp__claude_ai_Esteworld-Body__list_pages_without_esteworld","mcp__claude_ai_Esteworld-Body__n8n_activate_workflow","mcp__claude_ai_Esteworld-Body__n8n_get_executions","mcp__claude_ai_Esteworld-Body__n8n_get_workflow","mcp__claude_ai_Esteworld-Body__n8n_list_workflows","mcp__claude_ai_Esteworld-Body__n8n_trigger_webhook","mcp__claude_ai_Esteworld-Body__preview_global_fixes","mcp__claude_ai_Esteworld-Body__reorder_blocks","mcp__claude_ai_Esteworld-Body__search_content","mcp__claude_ai_Esteworld-Body__search_links_by_keyword","mcp__claude_ai_Esteworld-Body__search_links_by_keyword_en","mcp__claude_ai_Esteworld-Body__submit_page","mcp__claude_ai_Esteworld-Body__submit_page_light","mcp__claude_ai_Esteworld-Body__translate_page","mcp__claude_ai_Esteworld-Body__update_block","mcp__claude_ai_Figma__add_code_connect_map","mcp__claude_ai_Figma__create_new_file","mcp__claude_ai_Figma__generate_diagram","mcp__claude_ai_Figma__get_code_connect_map","mcp__claude_ai_Figma__get_code_connect_suggestions","mcp__claude_ai_Figma__get_context_for_code_connect","mcp__claude_ai_Figma__get_design_context","mcp__claude_ai_Figma__get_figjam","mcp__claude_ai_Figma__get_libraries","mcp__claude_ai_Figma__get_metadata","mcp__claude_ai_Figma__get_screenshot","mcp__claude_ai_Figma__get_variable_defs","mcp__claude_ai_Figma__search_design_system","mcp__claude_ai_Figma__send_code_connect_mappings","mcp__claude_ai_Figma__upload_assets","mcp__claude_ai_Figma__use_figma","mcp__claude_ai_Figma__whoami","mcp__claude_ai_Gmail__create_draft","mcp__claude_ai_Gmail__create_label","mcp__claude_ai_Gmail__delete_label","mcp__claude_ai_Gmail__get_thread","mcp__claude_ai_Gmail__label_message","mcp__claude_ai_Gmail__label_thread","mcp__claude_ai_Gmail__list_drafts","mcp__claude_ai_Gmail__list_labels","mcp__claude_ai_Gmail__search_threads","mcp__claude_ai_Gmail__unlabel_message","mcp__claude_ai_Gmail__unlabel_thread","mcp__claude_ai_Gmail__update_label","mcp__claude_ai_Google_Calendar__create_event","mcp__claude_ai_Google_Calendar__delete_event","mcp__claude_ai_Google_Calendar__get_event","mcp__claude_ai_Google_Calendar__list_calendars","mcp__claude_ai_Google_Calendar__list_events","mcp__claude_ai_Google_Calendar__respond_to_event","mcp__claude_ai_Google_Calendar__suggest_time","mcp__claude_ai_Google_Calendar__update_event","mcp__claude_ai_Google_Drive__copy_file","mcp__claude_ai_Google_Drive__create_file","mcp__claude_ai_Google_Drive__download_file_content","mcp__claude_ai_Google_Drive__get_file_metadata","mcp__claude_ai_Google_Drive__get_file_permissions","mcp__claude_ai_Google_Drive__list_recent_files","mcp__claude_ai_Google_Drive__read_file_content","mcp__claude_ai_Google_Drive__search_files","mcp__claude_ai_SEMRush__backlink_research","mcp__claude_ai_SEMRush__execute_report","mcp__claude_ai_SEMRush__get_report_schema","mcp__claude_ai_SEMRush__keyword_research","mcp__claude_ai_SEMRush__organic_research","mcp__claude_ai_SEMRush__overview_research","mcp__claude_ai_SEMRush__projects_research","mcp__claude_ai_SEMRush__siteaudit_research","mcp__claude_ai_SEMRush__subdomain_research","mcp__claude_ai_SEMRush__subfolder_research","mcp__claude_ai_SEMRush__tracking_research","mcp__claude_ai_SEMRush__trends_research","mcp__claude_ai_SEMRush__url_research","mcp__claude_ai_Vercel__add_toolbar_reaction","mcp__claude_ai_Vercel__change_toolbar_thread_resolve_status","mcp__claude_ai_Vercel__check_domain_availability_and_price","mcp__claude_ai_Vercel__deploy_to_vercel","mcp__claude_ai_Vercel__edit_toolbar_message","mcp__claude_ai_Vercel__get_access_to_vercel_url","mcp__claude_ai_Vercel__get_deployment","mcp__claude_ai_Vercel__get_deployment_build_logs","mcp__claude_ai_Vercel__get_project","mcp__claude_ai_Vercel__get_runtime_logs","mcp__claude_ai_Vercel__get_toolbar_thread","mcp__claude_ai_Vercel__list_deployments","mcp__claude_ai_Vercel__list_projects","mcp__claude_ai_Vercel__list_teams","mcp__claude_ai_Vercel__list_toolbar_threads","mcp__claude_ai_Vercel__reply_to_toolbar_thread","mcp__claude_ai_Vercel__search_vercel_documentation","mcp__claude_ai_Vercel__web_fetch_vercel_url","mcp__gpt-image-2__continue_edit_session","mcp__gpt-image-2__edit_image","mcp__gpt-image-2__end_edit_session","mcp__gpt-image-2__generate_image","mcp__gpt-image-2__list_edit_sessions","mcp__gpt-image-2__start_edit_session","mcp__hostinger__DNS_deleteDNSRecordsV1","mcp__hostinger__DNS_getDNSRecordsV1","mcp__hostinger__DNS_getDNSSnapshotListV1","mcp__hostinger__DNS_getDNSSnapshotV1","mcp__hostinger__DNS_resetDNSRecordsV1","mcp__hostinger__DNS_restoreDNSSnapshotV1","mcp__hostinger__DNS_updateDNSRecordsV1","mcp__hostinger__DNS_validateDNSRecordsV1","mcp__hostinger__VPS_activateFirewallV1","mcp__hostinger__VPS_attachPublicKeyV1","mcp__hostinger__VPS_createFirewallRuleV1","mcp__hostinger__VPS_createNewFirewallV1","mcp__hostinger__VPS_createNewProjectV1","mcp__hostinger__VPS_createPTRRecordV1","mcp__hostinger__VPS_createPostInstallScriptV1","mcp__hostinger__VPS_createPublicKeyV1","mcp__hostinger__VPS_createSnapshotV1","mcp__hostinger__VPS_deactivateFirewallV1","mcp__hostinger__VPS_deleteFirewallRuleV1","mcp__hostinger__VPS_deleteFirewallV1","mcp__hostinger__VPS_deletePTRRecordV1","mcp__hostinger__VPS_deletePostInstallScriptV1","mcp__hostinger__VPS_deleteProjectV1","mcp__hostinger__VPS_deletePublicKeyV1","mcp__hostinger__VPS_deleteSnapshotV1","mcp__hostinger__VPS_getActionDetailsV1","mcp__hostinger__VPS_getActionsV1","mcp__hostinger__VPS_getAttachedPublicKeysV1","mcp__hostinger__VPS_getBackupsV1","mcp__hostinger__VPS_getDataCenterListV1","mcp__hostinger__VPS_getFirewallDetailsV1","mcp__hostinger__VPS_getFirewallListV1","mcp__hostinger__VPS_getMetricsV1","mcp__hostinger__VPS_getPostInstallScriptV1","mcp__hostinger__VPS_getPostInstallScriptsV1","mcp__hostinger__VPS_getProjectContainersV1","mcp__hostinger__VPS_getProjectContentsV1","mcp__hostinger__VPS_getProjectListV1","mcp__hostinger__VPS_getProjectLogsV1","mcp__hostinger__VPS_getPublicKeysV1","mcp__hostinger__VPS_getScanMetricsV1","mcp__hostinger__VPS_getSnapshotV1","mcp__hostinger__VPS_getTemplateDetailsV1","mcp__hostinger__VPS_getTemplatesV1","mcp__hostinger__VPS_getVirtualMachineDetailsV1","mcp__hostinger__VPS_getVirtualMachinesV1","mcp__hostinger__VPS_installMonarxV1","mcp__hostinger__VPS_purchaseNewVirtualMachineV1","mcp__hostinger__VPS_recreateVirtualMachineV1","mcp__hostinger__VPS_resetHostnameV1","mcp__hostinger__VPS_restartProjectV1","mcp__hostinger__VPS_restartVirtualMachineV1","mcp__hostinger__VPS_restoreBackupV1","mcp__hostinger__VPS_restoreSnapshotV1","mcp__hostinger__VPS_setHostnameV1","mcp__hostinger__VPS_setNameserversV1","mcp__hostinger__VPS_setPanelPasswordV1","mcp__hostinger__VPS_setRootPasswordV1","mcp__hostinger__VPS_setupPurchasedVirtualMachineV1","mcp__hostinger__VPS_startProjectV1","mcp__hostinger__VPS_startRecoveryModeV1","mcp__hostinger__VPS_startVirtualMachineV1","mcp__hostinger__VPS_stopProjectV1","mcp__hostinger__VPS_stopRecoveryModeV1","mcp__hostinger__VPS_stopVirtualMachineV1","mcp__hostinger__VPS_syncFirewallV1","mcp__hostinger__VPS_uninstallMonarxV1","mcp__hostinger__VPS_updateFirewallRuleV1","mcp__hostinger__VPS_updatePostInstallScriptV1","mcp__hostinger__VPS_updateProjectV1","mcp__hostinger__billing_deletePaymentMethodV1","mcp__hostinger__billing_disableAutoRenewalV1","mcp__hostinger__billing_enableAutoRenewalV1","mcp__hostinger__billing_getCatalogItemListV1","mcp__hostinger__billing_getPaymentMethodListV1","mcp__hostinger__billing_getSubscriptionListV1","mcp__hostinger__billing_setDefaultPaymentMethodV1","mcp__hostinger__domains_checkDomainAvailabilityV1","mcp__hostinger__domains_createDomainForwardingV1","mcp__hostinger__domains_createWHOISProfileV1","mcp__hostinger__domains_deleteDomainForwardingV1","mcp__hostinger__domains_deleteWHOISProfileV1","mcp__hostinger__domains_disableDomainLockV1","mcp__hostinger__domains_disablePrivacyProtectionV1","mcp__hostinger__domains_enableDomainLockV1","mcp__hostinger__domains_enablePrivacyProtectionV1","mcp__hostinger__domains_getDomainDetailsV1","mcp__hostinger__domains_getDomainForwardingV1","mcp__hostinger__domains_getDomainListV1","mcp__hostinger__domains_getWHOISProfileListV1","mcp__hostinger__domains_getWHOISProfileUsageV1","mcp__hostinger__domains_getWHOISProfileV1","mcp__hostinger__domains_purchaseNewDomainV1","mcp__hostinger__domains_updateDomainNameserversV1","mcp__hostinger__hosting_createAccountDatabaseV1","mcp__hostinger__hosting_createWebsiteParkedDomainV1","mcp__hostinger__hosting_createWebsiteSubdomainV1","mcp__hostinger__hosting_createWebsiteV1","mcp__hostinger__hosting_deleteAccountDatabaseV1","mcp__hostinger__hosting_deleteWebsiteParkedDomainV1","mcp__hostinger__hosting_deleteWebsiteSubdomainV1","mcp__hostinger__hosting_deployJsApplication","mcp__hostinger__hosting_deployStaticWebsite","mcp__hostinger__hosting_deployWordpressPlugin","mcp__hostinger__hosting_deployWordpressTheme","mcp__hostinger__hosting_generateAFreeSubdomainV1","mcp__hostinger__hosting_importWordpressWebsite","mcp__hostinger__hosting_installWordPressV1","mcp__hostinger__hosting_listAccountDatabasesV1","mcp__hostinger__hosting_listAvailableDatacentersV1","mcp__hostinger__hosting_listJsDeployments","mcp__hostinger__hosting_listOrdersV1","mcp__hostinger__hosting_listWebsiteParkedDomainsV1","mcp__hostinger__hosting_listWebsiteSubdomainsV1","mcp__hostinger__hosting_listWebsitesV1","mcp__hostinger__hosting_listWordPressInstallationsV1","mcp__hostinger__hosting_showJsDeploymentLogs","mcp__hostinger__hosting_verifyDomainOwnershipV1","mcp__hostinger__reach_createANewContactSegmentV1","mcp__hostinger__reach_createANewContactV1","mcp__hostinger__reach_createNewContactsV1","mcp__hostinger__reach_deleteAContactV1","mcp__hostinger__reach_getSegmentDetailsV1","mcp__hostinger__reach_listContactGroupsV1","mcp__hostinger__reach_listContactsV1","mcp__hostinger__reach_listProfilesV1","mcp__hostinger__reach_listSegmentContactsV1","mcp__hostinger__reach_listSegmentsV1","mcp__hostinger__v2_getDomainVerificationsDIRECT","mcp__n8n-mcp__get_node","mcp__n8n-mcp__get_template","mcp__n8n-mcp__n8n_audit_instance","mcp__n8n-mcp__n8n_autofix_workflow","mcp__n8n-mcp__n8n_create_workflow","mcp__n8n-mcp__n8n_delete_workflow","mcp__n8n-mcp__n8n_deploy_template","mcp__n8n-mcp__n8n_executions","mcp__n8n-mcp__n8n_generate_workflow","mcp__n8n-mcp__n8n_get_workflow","mcp__n8n-mcp__n8n_health_check","mcp__n8n-mcp__n8n_list_workflows","mcp__n8n-mcp__n8n_manage_credentials","mcp__n8n-mcp__n8n_manage_datatable","mcp__n8n-mcp__n8n_test_workflow","mcp__n8n-mcp__n8n_update_full_workflow","mcp__n8n-mcp__n8n_update_partial_workflow","mcp__n8n-mcp__n8n_validate_workflow","mcp__n8n-mcp__n8n_workflow_versions","mcp__n8n-mcp__search_nodes","mcp__n8n-mcp__search_templates","mcp__n8n-mcp__tools_documentation","mcp__n8n-mcp__validate_node","mcp__n8n-mcp__validate_workflow","mcp__nanobanana__generate_image","mcp__nanobanana__maintenance","mcp__nanobanana__show_output_stats","mcp__nanobanana__upload_file","mcp__plugin_vercel_vercel__authenticate","mcp__plugin_vercel_vercel__complete_authentication","mcp__refero__refero_get_flow","mcp__refero__refero_get_screen","mcp__refero__refero_get_screen_image","mcp__refero__refero_get_similar_screens","mcp__refero__refero_get_style","mcp__refero__refero_search_flows","mcp__refero__refero_search_screens","mcp__refero__refero_search_styles","mcp__semrush__authenticate","mcp__semrush__complete_authentication","mcp__stock-images-mcp__search_stock_images","mcp__trello__add_card_to_list","mcp__trello__add_checklist_item","mcp__trello__add_comment","mcp__trello__add_list_to_board","mcp__trello__archive_card","mcp__trello__archive_list","mcp__trello__assign_member_to_card","mcp__trello__attach_file_to_card","mcp__trello__attach_image_data_to_card","mcp__trello__attach_image_to_card","mcp__trello__create_board","mcp__trello__create_checklist","mcp__trello__create_label","mcp__trello__delete_comment","mcp__trello__delete_label","mcp__trello__find_checklist_items_by_description","mcp__trello__get_acceptance_criteria","mcp__trello__get_active_board_info","mcp__trello__get_board_labels","mcp__trello__get_board_members","mcp__trello__get_card","mcp__trello__get_card_comments","mcp__trello__get_card_history","mcp__trello__get_cards_by_list_id","mcp__trello__get_checklist_by_name","mcp__trello__get_checklist_items","mcp__trello__get_health","mcp__trello__get_health_detailed","mcp__trello__get_health_metadata","mcp__trello__get_health_performance","mcp__trello__get_lists","mcp__trello__get_my_cards","mcp__trello__get_recent_activity","mcp__trello__list_boards","mcp__trello__list_boards_in_workspace","mcp__trello__list_workspaces","mcp__trello__move_card","mcp__trello__perform_system_repair","mcp__trello__remove_member_from_card","mcp__trello__set_active_board","mcp__trello__set_active_workspace","mcp__trello__update_card_details","mcp__trello__update_checklist_item","mcp__trello__update_comment","mcp__trello__update_label"],"addedLines":["CronCreate","CronDelete","CronList","EnterWorktree","ExitWorktree","ListMcpResourcesTool","Monitor","PushNotification","ReadMcpResourceTool","RemoteTrigger","TaskCreate","TaskGet","TaskList","TaskStop","TaskUpdate","WebFetch","WebSearch","mcp__EstimanouContent__add_article_block","mcp__EstimanouContent__add_block","mcp__EstimanouContent__create_article","mcp__EstimanouContent__create_page","mcp__EstimanouContent__delete_article","mcp__EstimanouContent__delete_article_block","mcp__EstimanouContent__delete_block","mcp__EstimanouContent__get_article","mcp__EstimanouContent__get_city_page","mcp__EstimanouContent__get_page","mcp__EstimanouContent__list_articles","mcp__EstimanouContent__list_available_blocks","mcp__EstimanouContent__list_city_pages","mcp__EstimanouContent__list_pages","mcp__EstimanouContent__list_site_urls","mcp__EstimanouContent__reorder_article_blocks","mcp__EstimanouContent__reorder_blocks","mcp__EstimanouContent__replace_article_content","mcp__EstimanouContent__replace_city_seo_content","mcp__EstimanouContent__replace_page_layout","mcp__EstimanouContent__search_internal_links","mcp__EstimanouContent__update_article","mcp__EstimanouContent__update_article_block","mcp__EstimanouContent__update_block","mcp__EstimanouContent__update_city_page_content","mcp__claude_ai_Ahref__batch-analysis","mcp__claude_ai_Ahref__brand-radar-ai-responses","mcp__claude_ai_Ahref__brand-radar-ai-responses-entities","mcp__claude_ai_Ahref__brand-radar-cited-domains","mcp__claude_ai_Ahref__brand-radar-cited-domains-entities","mcp__claude_ai_Ahref__brand-radar-cited-pages","mcp__claude_ai_Ahref__brand-radar-cited-pages-entities","mcp__claude_ai_Ahref__brand-radar-impressions-history","mcp__claude_ai_Ahref__brand-radar-impressions-history-entities","mcp__claude_ai_Ahref__brand-radar-impressions-overview","mcp__claude_ai_Ahref__brand-radar-impressions-overview-entities","mcp__claude_ai_Ahref__brand-radar-mentions-history","mcp__claude_ai_Ahref__brand-radar-mentions-history-entities","mcp__claude_ai_Ahref__brand-radar-mentions-overview","mcp__claude_ai_Ahref__brand-radar-mentions-overview-entities","mcp__claude_ai_Ahref__brand-radar-sov-history","mcp__claude_ai_Ahref__brand-radar-sov-history-entities","mcp__claude_ai_Ahref__brand-radar-sov-overview","mcp__claude_ai_Ahref__brand-radar-sov-overview-entities","mcp__claude_ai_Ahref__doc","mcp__claude_ai_Ahref__gsc-anonymous-queries","mcp__claude_ai_Ahref__gsc-ctr-by-position","mcp__claude_ai_Ahref__gsc-keyword-history","mcp__claude_ai_Ahref__gsc-keywords","mcp__claude_ai_Ahref__gsc-metrics-by-country","mcp__claude_ai_Ahref__gsc-page-history","mcp__claude_ai_Ahref__gsc-pages","mcp__claude_ai_Ahref__gsc-pages-history","mcp__claude_ai_Ahref__gsc-performance-by-device","mcp__claude_ai_Ahref__gsc-performance-by-position","mcp__claude_ai_Ahref__gsc-performance-history","mcp__claude_ai_Ahref__gsc-positions-history","mcp__claude_ai_Ahref__keywords-explorer-matching-terms","mcp__claude_ai_Ahref__keywords-explorer-overview","mcp__claude_ai_Ahref__keywords-explorer-related-terms","mcp__claude_ai_Ahref__keywords-explorer-search-suggestions","mcp__claude_ai_Ahref__keywords-explorer-volume-by-country","mcp__claude_ai_Ahref__keywords-explorer-volume-history","mcp__claude_ai_Ahref__management-brand-radar-prompts","mcp__claude_ai_Ahref__management-brand-radar-reports","mcp__claude_ai_Ahref__management-keyword-list-keywords","mcp__claude_ai_Ahref__management-locations","mcp__claude_ai_Ahref__management-project-competitors","mcp__claude_ai_Ahref__management-project-keywords","mcp__claude_ai_Ahref__management-projects","mcp__claude_ai_Ahref__public-crawler-ip-ranges","mcp__claude_ai_Ahref__public-crawler-ips","mcp__claude_ai_Ahref__rank-tracker-competitors-domains","mcp__claude_ai_Ahref__rank-tracker-competitors-overview","mcp__claude_ai_Ahref__rank-tracker-competitors-pages","mcp__claude_ai_Ahref__rank-tracker-competitors-stats","mcp__claude_ai_Ahref__rank-tracker-overview","mcp__claude_ai_Ahref__rank-tracker-serp-overview","mcp__claude_ai_Ahref__render-data-table","mcp__claude_ai_Ahref__render-scorecard","mcp__claude_ai_Ahref__render-time-series-chart","mcp__claude_ai_Ahref__serp-overview","mcp__claude_ai_Ahref__site-audit-issues","mcp__claude_ai_Ahref__site-audit-page-content","mcp__claude_ai_Ahref__site-audit-page-explorer","mcp__claude_ai_Ahref__site-audit-projects","mcp__claude_ai_Ahref__site-explorer-all-backlinks","mcp__claude_ai_Ahref__site-explorer-anchors","mcp__claude_ai_Ahref__site-explorer-backlinks-stats","mcp__claude_ai_Ahref__site-explorer-broken-backlinks","mcp__claude_ai_Ahref__site-explorer-crawled-pages","mcp__claude_ai_Ahref__site-explorer-domain-rating","mcp__claude_ai_Ahref__site-explorer-domain-rating-history","mcp__claude_ai_Ahref__site-explorer-keywords-history","mcp__claude_ai_Ahref__site-explorer-linked-anchors-external","mcp__claude_ai_Ahref__site-explorer-linked-anchors-internal","mcp__claude_ai_Ahref__site-explorer-linked-domains","mcp__claude_ai_Ahref__site-explorer-metrics","mcp__claude_ai_Ahref__site-explorer-metrics-by-country","mcp__claude_ai_Ahref__site-explorer-metrics-history","mcp__claude_ai_Ahref__site-explorer-organic-competitors","mcp__claude_ai_Ahref__site-explorer-organic-keywords","mcp__claude_ai_Ahref__site-explorer-outlinks-stats","mcp__claude_ai_Ahref__site-explorer-pages-by-backlinks","mcp__claude_ai_Ahref__site-explorer-pages-by-internal-links","mcp__claude_ai_Ahref__site-explorer-pages-by-traffic","mcp__claude_ai_Ahref__site-explorer-pages-history","mcp__claude_ai_Ahref__site-explorer-paid-pages","mcp__claude_ai_Ahref__site-explorer-refdomains-history","mcp__claude_ai_Ahref__site-explorer-referring-domains","mcp__claude_ai_Ahref__site-explorer-top-pages","mcp__claude_ai_Ahref__site-explorer-total-search-volume-history","mcp__claude_ai_Ahref__site-explorer-url-rating-history","mcp__claude_ai_Ahref__social-media-activity-history","mcp__claude_ai_Ahref__social-media-authors","mcp__claude_ai_Ahref__social-media-channel-metrics","mcp__claude_ai_Ahref__social-media-channels","mcp__claude_ai_Ahref__social-media-post-metrics","mcp__claude_ai_Ahref__social-media-posts","mcp__claude_ai_Ahref__subscription-info-limits-and-usage","mcp__claude_ai_Ahref__web-analytics-browser-versions","mcp__claude_ai_Ahref__web-analytics-browser-versions-chart","mcp__claude_ai_Ahref__web-analytics-browsers","mcp__claude_ai_Ahref__web-analytics-browsers-chart","mcp__claude_ai_Ahref__web-analytics-chart","mcp__claude_ai_Ahref__web-analytics-cities","mcp__claude_ai_Ahref__web-analytics-cities-chart","mcp__claude_ai_Ahref__web-analytics-continents","mcp__claude_ai_Ahref__web-analytics-continents-chart","mcp__claude_ai_Ahref__web-analytics-countries","mcp__claude_ai_Ahref__web-analytics-countries-chart","mcp__claude_ai_Ahref__web-analytics-devices","mcp__claude_ai_Ahref__web-analytics-devices-chart","mcp__claude_ai_Ahref__web-analytics-entry-pages","mcp__claude_ai_Ahref__web-analytics-entry-pages-chart","mcp__claude_ai_Ahref__web-analytics-exit-pages","mcp__claude_ai_Ahref__web-analytics-exit-pages-chart","mcp__claude_ai_Ahref__web-analytics-languages","mcp__claude_ai_Ahref__web-analytics-languages-chart","mcp__claude_ai_Ahref__web-analytics-operating-systems","mcp__claude_ai_Ahref__web-analytics-operating-systems-chart","mcp__claude_ai_Ahref__web-analytics-operating-systems-versions","mcp__claude_ai_Ahref__web-analytics-operating-systems-versions-chart","mcp__claude_ai_Ahref__web-analytics-referrers","mcp__claude_ai_Ahref__web-analytics-referrers-chart","mcp__claude_ai_Ahref__web-analytics-source-channels","mcp__claude_ai_Ahref__web-analytics-source-channels-chart","mcp__claude_ai_Ahref__web-analytics-sources","mcp__claude_ai_Ahref__web-analytics-sources-chart","mcp__claude_ai_Ahref__web-analytics-stats","mcp__claude_ai_Ahref__web-analytics-top-pages","mcp__claude_ai_Ahref__web-analytics-top-pages-chart","mcp__claude_ai_Ahref__web-analytics-utm-params","mcp__claude_ai_Ahref__web-analytics-utm-params-chart","mcp__claude_ai_Canva__cancel-editing-transaction","mcp__claude_ai_Canva__comment-on-design","mcp__claude_ai_Canva__commit-editing-transaction","mcp__claude_ai_Canva__copy-design","mcp__claude_ai_Canva__create-design-from-brand-template","mcp__claude_ai_Canva__create-design-from-candidate","mcp__claude_ai_Canva__create-folder","mcp__claude_ai_Canva__export-design","mcp__claude_ai_Canva__generate-design","mcp__claude_ai_Canva__generate-design-structured","mcp__claude_ai_Canva__get-assets","mcp__claude_ai_Canva__get-brand-template-dataset","mcp__claude_ai_Canva__get-design","mcp__claude_ai_Canva__get-design-candidates","mcp__claude_ai_Canva__get-design-content","mcp__claude_ai_Canva__get-design-pages","mcp__claude_ai_Canva__get-design-thumbnail","mcp__claude_ai_Canva__get-export-formats","mcp__claude_ai_Canva__get-presenter-notes","mcp__claude_ai_Canva__help","mcp__claude_ai_Canva__import-design-from-url","mcp__claude_ai_Canva__list-brand-kits","mcp__claude_ai_Canva__list-comments","mcp__claude_ai_Canva__list-folder-items","mcp__claude_ai_Canva__list-replies","mcp__claude_ai_Canva__merge-designs","mcp__claude_ai_Canva__move-item-to-folder","mcp__claude_ai_Canva__perform-editing-operations","mcp__claude_ai_Canva__publish-brand-template","mcp__claude_ai_Canva__reply-to-comment","mcp__claude_ai_Canva__request-outline-review","mcp__claude_ai_Canva__resize-design","mcp__claude_ai_Canva__resolve-shortlink","mcp__claude_ai_Canva__search-brand-templates","mcp__claude_ai_Canva__search-designs","mcp__claude_ai_Canva__search-folders","mcp__claude_ai_Canva__start-editing-transaction","mcp__claude_ai_Canva__upload-asset-from-url","mcp__claude_ai_DATA_GOUV_FR__get_dataservice_info","mcp__claude_ai_DATA_GOUV_FR__get_dataservice_openapi_spec","mcp__claude_ai_DATA_GOUV_FR__get_dataset_info","mcp__claude_ai_DATA_GOUV_FR__get_metrics","mcp__claude_ai_DATA_GOUV_FR__get_resource_info","mcp__claude_ai_DATA_GOUV_FR__list_dataset_resources","mcp__claude_ai_DATA_GOUV_FR__query_resource_data","mcp__claude_ai_DATA_GOUV_FR__search_dataservices","mcp__claude_ai_DATA_GOUV_FR__search_datasets","mcp__claude_ai_DATA_GOUV_FR__search_organizations","mcp__claude_ai_Data_For_SEO__authenticate","mcp__claude_ai_Data_For_SEO__complete_authentication","mcp__claude_ai_Esteworld-Body__add_block","mcp__claude_ai_Esteworld-Body__delete_block","mcp__claude_ai_Esteworld-Body__find_esteworld_page","mcp__claude_ai_Esteworld-Body__fix_global_blocks","mcp__claude_ai_Esteworld-Body__get_block","mcp__claude_ai_Esteworld-Body__get_blocks_library","mcp__claude_ai_Esteworld-Body__get_breadcrumb","mcp__claude_ai_Esteworld-Body__get_fr_en_mapping","mcp__claude_ai_Esteworld-Body__get_internal_links","mcp__claude_ai_Esteworld-Body__get_internal_links_en","mcp__claude_ai_Esteworld-Body__get_maillage_rules","mcp__claude_ai_Esteworld-Body__get_page","mcp__claude_ai_Esteworld-Body__get_page_json","mcp__claude_ai_Esteworld-Body__get_page_status","mcp__claude_ai_Esteworld-Body__get_redirections","mcp__claude_ai_Esteworld-Body__get_section_content","mcp__claude_ai_Esteworld-Body__get_thematique_pages","mcp__claude_ai_Esteworld-Body__get_translation_languages","mcp__claude_ai_Esteworld-Body__list_pages","mcp__claude_ai_Esteworld-Body__list_pages_by_thematique","mcp__claude_ai_Esteworld-Body__list_pages_by_type","mcp__claude_ai_Esteworld-Body__list_pages_to_create","mcp__claude_ai_Esteworld-Body__list_pages_to_rewrite","mcp__claude_ai_Esteworld-Body__list_pages_with_esteworld","mcp__claude_ai_Esteworld-Body__list_pages_without_esteworld","mcp__claude_ai_Esteworld-Body__n8n_activate_workflow","mcp__claude_ai_Esteworld-Body__n8n_get_executions","mcp__claude_ai_Esteworld-Body__n8n_get_workflow","mcp__claude_ai_Esteworld-Body__n8n_list_workflows","mcp__claude_ai_Esteworld-Body__n8n_trigger_webhook","mcp__claude_ai_Esteworld-Body__preview_global_fixes","mcp__claude_ai_Esteworld-Body__reorder_blocks","mcp__claude_ai_Esteworld-Body__search_content","mcp__claude_ai_Esteworld-Body__search_links_by_keyword","mcp__claude_ai_Esteworld-Body__search_links_by_keyword_en","mcp__claude_ai_Esteworld-Body__submit_page","mcp__claude_ai_Esteworld-Body__submit_page_light","mcp__claude_ai_Esteworld-Body__translate_page","mcp__claude_ai_Esteworld-Body__update_block","mcp__claude_ai_Figma__add_code_connect_map","mcp__claude_ai_Figma__create_new_file","mcp__claude_ai_Figma__generate_diagram","mcp__claude_ai_Figma__get_code_connect_map","mcp__claude_ai_Figma__get_code_connect_suggestions","mcp__claude_ai_Figma__get_context_for_code_connect","mcp__claude_ai_Figma__get_design_context","mcp__claude_ai_Figma__get_figjam","mcp__claude_ai_Figma__get_libraries","mcp__claude_ai_Figma__get_metadata","mcp__claude_ai_Figma__get_screenshot","mcp__claude_ai_Figma__get_variable_defs","mcp__claude_ai_Figma__search_design_system","mcp__claude_ai_Figma__send_code_connect_mappings","mcp__claude_ai_Figma__upload_assets","mcp__claude_ai_Figma__use_figma","mcp__claude_ai_Figma__whoami","mcp__claude_ai_Gmail__create_draft","mcp__claude_ai_Gmail__create_label","mcp__claude_ai_Gmail__delete_label","mcp__claude_ai_Gmail__get_thread","mcp__claude_ai_Gmail__label_message","mcp__claude_ai_Gmail__label_thread","mcp__claude_ai_Gmail__list_drafts","mcp__claude_ai_Gmail__list_labels","mcp__claude_ai_Gmail__search_threads","mcp__claude_ai_Gmail__unlabel_message","mcp__claude_ai_Gmail__unlabel_thread","mcp__claude_ai_Gmail__update_label","mcp__claude_ai_Google_Calendar__create_event","mcp__claude_ai_Google_Calendar__delete_event","mcp__claude_ai_Google_Calendar__get_event","mcp__claude_ai_Google_Calendar__list_calendars","mcp__claude_ai_Google_Calendar__list_events","mcp__claude_ai_Google_Calendar__respond_to_event","mcp__claude_ai_Google_Calendar__suggest_time","mcp__claude_ai_Google_Calendar__update_event","mcp__claude_ai_Google_Drive__copy_file","mcp__claude_ai_Google_Drive__create_file","mcp__claude_ai_Google_Drive__download_file_content","mcp__claude_ai_Google_Drive__get_file_metadata","mcp__claude_ai_Google_Drive__get_file_permissions","mcp__claude_ai_Google_Drive__list_recent_files","mcp__claude_ai_Google_Drive__read_file_content","mcp__claude_ai_Google_Drive__search_files","mcp__claude_ai_SEMRush__backlink_research","mcp__claude_ai_SEMRush__execute_report","mcp__claude_ai_SEMRush__get_report_schema","mcp__claude_ai_SEMRush__keyword_research","mcp__claude_ai_SEMRush__organic_research","mcp__claude_ai_SEMRush__overview_research","mcp__claude_ai_SEMRush__projects_research","mcp__claude_ai_SEMRush__siteaudit_research","mcp__claude_ai_SEMRush__subdomain_research","mcp__claude_ai_SEMRush__subfolder_research","mcp__claude_ai_SEMRush__tracking_research","mcp__claude_ai_SEMRush__trends_research","mcp__claude_ai_SEMRush__url_research","mcp__claude_ai_Vercel__add_toolbar_reaction","mcp__claude_ai_Vercel__change_toolbar_thread_resolve_status","mcp__claude_ai_Vercel__check_domain_availability_and_price","mcp__claude_ai_Vercel__deploy_to_vercel","mcp__claude_ai_Vercel__edit_toolbar_message","mcp__claude_ai_Vercel__get_access_to_vercel_url","mcp__claude_ai_Vercel__get_deployment","mcp__claude_ai_Vercel__get_deployment_build_logs","mcp__claude_ai_Vercel__get_project","mcp__claude_ai_Vercel__get_runtime_logs","mcp__claude_ai_Vercel__get_toolbar_thread","mcp__claude_ai_Vercel__list_deployments","mcp__claude_ai_Vercel__list_projects","mcp__claude_ai_Vercel__list_teams","mcp__claude_ai_Vercel__list_toolbar_threads","mcp__claude_ai_Vercel__reply_to_toolbar_thread","mcp__claude_ai_Vercel__search_vercel_documentation","mcp__claude_ai_Vercel__web_fetch_vercel_url","mcp__gpt-image-2__continue_edit_session","mcp__gpt-image-2__edit_image","mcp__gpt-image-2__end_edit_session","mcp__gpt-image-2__generate_image","mcp__gpt-image-2__list_edit_sessions","mcp__gpt-image-2__start_edit_session","mcp__hostinger__DNS_deleteDNSRecordsV1","mcp__hostinger__DNS_getDNSRecordsV1","mcp__hostinger__DNS_getDNSSnapshotListV1","mcp__hostinger__DNS_getDNSSnapshotV1","mcp__hostinger__DNS_resetDNSRecordsV1","mcp__hostinger__DNS_restoreDNSSnapshotV1","mcp__hostinger__DNS_updateDNSRecordsV1","mcp__hostinger__DNS_validateDNSRecordsV1","mcp__hostinger__VPS_activateFirewallV1","mcp__hostinger__VPS_attachPublicKeyV1","mcp__hostinger__VPS_createFirewallRuleV1","mcp__hostinger__VPS_createNewFirewallV1","mcp__hostinger__VPS_createNewProjectV1","mcp__hostinger__VPS_createPTRRecordV1","mcp__hostinger__VPS_createPostInstallScriptV1","mcp__hostinger__VPS_createPublicKeyV1","mcp__hostinger__VPS_createSnapshotV1","mcp__hostinger__VPS_deactivateFirewallV1","mcp__hostinger__VPS_deleteFirewallRuleV1","mcp__hostinger__VPS_deleteFirewallV1","mcp__hostinger__VPS_deletePTRRecordV1","mcp__hostinger__VPS_deletePostInstallScriptV1","mcp__hostinger__VPS_deleteProjectV1","mcp__hostinger__VPS_deletePublicKeyV1","mcp__hostinger__VPS_deleteSnapshotV1","mcp__hostinger__VPS_getActionDetailsV1","mcp__hostinger__VPS_getActionsV1","mcp__hostinger__VPS_getAttachedPublicKeysV1","mcp__hostinger__VPS_getBackupsV1","mcp__hostinger__VPS_getDataCenterListV1","mcp__hostinger__VPS_getFirewallDetailsV1","mcp__hostinger__VPS_getFirewallListV1","mcp__hostinger__VPS_getMetricsV1","mcp__hostinger__VPS_getPostInstallScriptV1","mcp__hostinger__VPS_getPostInstallScriptsV1","mcp__hostinger__VPS_getProjectContainersV1","mcp__hostinger__VPS_getProjectContentsV1","mcp__hostinger__VPS_getProjectListV1","mcp__hostinger__VPS_getProjectLogsV1","mcp__hostinger__VPS_getPublicKeysV1","mcp__hostinger__VPS_getScanMetricsV1","mcp__hostinger__VPS_getSnapshotV1","mcp__hostinger__VPS_getTemplateDetailsV1","mcp__hostinger__VPS_getTemplatesV1","mcp__hostinger__VPS_getVirtualMachineDetailsV1","mcp__hostinger__VPS_getVirtualMachinesV1","mcp__hostinger__VPS_installMonarxV1","mcp__hostinger__VPS_purchaseNewVirtualMachineV1","mcp__hostinger__VPS_recreateVirtualMachineV1","mcp__hostinger__VPS_resetHostnameV1","mcp__hostinger__VPS_restartProjectV1","mcp__hostinger__VPS_restartVirtualMachineV1","mcp__hostinger__VPS_restoreBackupV1","mcp__hostinger__VPS_restoreSnapshotV1","mcp__hostinger__VPS_setHostnameV1","mcp__hostinger__VPS_setNameserversV1","mcp__hostinger__VPS_setPanelPasswordV1","mcp__hostinger__VPS_setRootPasswordV1","mcp__hostinger__VPS_setupPurchasedVirtualMachineV1","mcp__hostinger__VPS_startProjectV1","mcp__hostinger__VPS_startRecoveryModeV1","mcp__hostinger__VPS_startVirtualMachineV1","mcp__hostinger__VPS_stopProjectV1","mcp__hostinger__VPS_stopRecoveryModeV1","mcp__hostinger__VPS_stopVirtualMachineV1","mcp__hostinger__VPS_syncFirewallV1","mcp__hostinger__VPS_uninstallMonarxV1","mcp__hostinger__VPS_updateFirewallRuleV1","mcp__hostinger__VPS_updatePostInstallScriptV1","mcp__hostinger__VPS_updateProjectV1","mcp__hostinger__billing_deletePaymentMethodV1","mcp__hostinger__billing_disableAutoRenewalV1","mcp__hostinger__billing_enableAutoRenewalV1","mcp__hostinger__billing_getCatalogItemListV1","mcp__hostinger__billing_getPaymentMethodListV1","mcp__hostinger__billing_getSubscriptionListV1","mcp__hostinger__billing_setDefaultPaymentMethodV1","mcp__hostinger__domains_checkDomainAvailabilityV1","mcp__hostinger__domains_createDomainForwardingV1","mcp__hostinger__domains_createWHOISProfileV1","mcp__hostinger__domains_deleteDomainForwardingV1","mcp__hostinger__domains_deleteWHOISProfileV1","mcp__hostinger__domains_disableDomainLockV1","mcp__hostinger__domains_disablePrivacyProtectionV1","mcp__hostinger__domains_enableDomainLockV1","mcp__hostinger__domains_enablePrivacyProtectionV1","mcp__hostinger__domains_getDomainDetailsV1","mcp__hostinger__domains_getDomainForwardingV1","mcp__hostinger__domains_getDomainListV1","mcp__hostinger__domains_getWHOISProfileListV1","mcp__hostinger__domains_getWHOISProfileUsageV1","mcp__hostinger__domains_getWHOISProfileV1","mcp__hostinger__domains_purchaseNewDomainV1","mcp__hostinger__domains_updateDomainNameserversV1","mcp__hostinger__hosting_createAccountDatabaseV1","mcp__hostinger__hosting_createWebsiteParkedDomainV1","mcp__hostinger__hosting_createWebsiteSubdomainV1","mcp__hostinger__hosting_createWebsiteV1","mcp__hostinger__hosting_deleteAccountDatabaseV1","mcp__hostinger__hosting_deleteWebsiteParkedDomainV1","mcp__hostinger__hosting_deleteWebsiteSubdomainV1","mcp__hostinger__hosting_deployJsApplication","mcp__hostinger__hosting_deployStaticWebsite","mcp__hostinger__hosting_deployWordpressPlugin","mcp__hostinger__hosting_deployWordpressTheme","mcp__hostinger__hosting_generateAFreeSubdomainV1","mcp__hostinger__hosting_importWordpressWebsite","mcp__hostinger__hosting_installWordPressV1","mcp__hostinger__hosting_listAccountDatabasesV1","mcp__hostinger__hosting_listAvailableDatacentersV1","mcp__hostinger__hosting_listJsDeployments","mcp__hostinger__hosting_listOrdersV1","mcp__hostinger__hosting_listWebsiteParkedDomainsV1","mcp__hostinger__hosting_listWebsiteSubdomainsV1","mcp__hostinger__hosting_listWebsitesV1","mcp__hostinger__hosting_listWordPressInstallationsV1","mcp__hostinger__hosting_showJsDeploymentLogs","mcp__hostinger__hosting_verifyDomainOwnershipV1","mcp__hostinger__reach_createANewContactSegmentV1","mcp__hostinger__reach_createANewContactV1","mcp__hostinger__reach_createNewContactsV1","mcp__hostinger__reach_deleteAContactV1","mcp__hostinger__reach_getSegmentDetailsV1","mcp__hostinger__reach_listContactGroupsV1","mcp__hostinger__reach_listContactsV1","mcp__hostinger__reach_listProfilesV1","mcp__hostinger__reach_listSegmentContactsV1","mcp__hostinger__reach_listSegmentsV1","mcp__hostinger__v2_getDomainVerificationsDIRECT","mcp__n8n-mcp__get_node","mcp__n8n-mcp__get_template","mcp__n8n-mcp__n8n_audit_instance","mcp__n8n-mcp__n8n_autofix_workflow","mcp__n8n-mcp__n8n_create_workflow","mcp__n8n-mcp__n8n_delete_workflow","mcp__n8n-mcp__n8n_deploy_template","mcp__n8n-mcp__n8n_executions","mcp__n8n-mcp__n8n_generate_workflow","mcp__n8n-mcp__n8n_get_workflow","mcp__n8n-mcp__n8n_health_check","mcp__n8n-mcp__n8n_list_workflows","mcp__n8n-mcp__n8n_manage_credentials","mcp__n8n-mcp__n8n_manage_datatable","mcp__n8n-mcp__n8n_test_workflow","mcp__n8n-mcp__n8n_update_full_workflow","mcp__n8n-mcp__n8n_update_partial_workflow","mcp__n8n-mcp__n8n_validate_workflow","mcp__n8n-mcp__n8n_workflow_versions","mcp__n8n-mcp__search_nodes","mcp__n8n-mcp__search_templates","mcp__n8n-mcp__tools_documentation","mcp__n8n-mcp__validate_node","mcp__n8n-mcp__validate_workflow","mcp__nanobanana__generate_image","mcp__nanobanana__maintenance","mcp__nanobanana__show_output_stats","mcp__nanobanana__upload_file","mcp__plugin_vercel_vercel__authenticate","mcp__plugin_vercel_vercel__complete_authentication","mcp__refero__refero_get_flow","mcp__refero__refero_get_screen","mcp__refero__refero_get_screen_image","mcp__refero__refero_get_similar_screens","mcp__refero__refero_get_style","mcp__refero__refero_search_flows","mcp__refero__refero_search_screens","mcp__refero__refero_search_styles","mcp__semrush__authenticate","mcp__semrush__complete_authentication","mcp__stock-images-mcp__search_stock_images","mcp__trello__add_card_to_list","mcp__trello__add_checklist_item","mcp__trello__add_comment","mcp__trello__add_list_to_board","mcp__trello__archive_card","mcp__trello__archive_list","mcp__trello__assign_member_to_card","mcp__trello__attach_file_to_card","mcp__trello__attach_image_data_to_card","mcp__trello__attach_image_to_card","mcp__trello__create_board","mcp__trello__create_checklist","mcp__trello__create_label","mcp__trello__delete_comment","mcp__trello__delete_label","mcp__trello__find_checklist_items_by_description","mcp__trello__get_acceptance_criteria","mcp__trello__get_active_board_info","mcp__trello__get_board_labels","mcp__trello__get_board_members","mcp__trello__get_card","mcp__trello__get_card_comments","mcp__trello__get_card_history","mcp__trello__get_cards_by_list_id","mcp__trello__get_checklist_by_name","mcp__trello__get_checklist_items","mcp__trello__get_health","mcp__trello__get_health_detailed","mcp__trello__get_health_metadata","mcp__trello__get_health_performance","mcp__trello__get_lists","mcp__trello__get_my_cards","mcp__trello__get_recent_activity","mcp__trello__list_boards","mcp__trello__list_boards_in_workspace","mcp__trello__list_workspaces","mcp__trello__move_card","mcp__trello__perform_system_repair","mcp__trello__remove_member_from_card","mcp__trello__set_active_board","mcp__trello__set_active_workspace","mcp__trello__update_card_details","mcp__trello__update_checklist_item","mcp__trello__update_comment","mcp__trello__update_label"],"removedNames":[],"readdedNames":[]},"type":"attachment","uuid":"c4a645b8-aa83-44d1-8a73-fd95875e9194","timestamp":"2026-06-07T16:48:14.279Z","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":"c4a645b8-aa83-44d1-8a73-fd95875e9194","isSidechain":true,"agentId":"a827a7870f54fe8d0","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":"fd265b33-7b38-48c5-a121-1c1bcc2e407d","timestamp":"2026-06-07T16:48:14.282Z","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":"fd265b33-7b38-48c5-a121-1c1bcc2e407d","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Pmf1DBXoLeZT2FrDMzsqtK","type":"message","role":"assistant","content":[{"type":"text","text":"I'll conduct a thorough exploration of the data model and monthly report storage in this Next.js 14 + Prisma app."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":18154,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":18154,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEwD1VnB8K1Je9mdFp7","attributionAgent":"Explore","type":"assistant","uuid":"1b639a43-3afc-4070-94e1-543f77eb1997","timestamp":"2026-06-07T16:48:15.954Z","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":"1b639a43-3afc-4070-94e1-543f77eb1997","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Pmf1DBXoLeZT2FrDMzsqtK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RNdDUmnFmUMWr7fvRFHXFQ","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":3,"cache_creation_input_tokens":18154,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":18154,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEwD1VnB8K1Je9mdFp7","attributionAgent":"Explore","type":"assistant","uuid":"87de9279-9848-4ee5-acc6-e25d5c7b21ba","timestamp":"2026-06-07T16:48:16.170Z","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":"87de9279-9848-4ee5-acc6-e25d5c7b21ba","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RNdDUmnFmUMWr7fvRFHXFQ","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":"5a1f64da-6012-407e-832e-9a34f9fbbeb1","timestamp":"2026-06-07T16:48:16.177Z","sourceToolAssistantUUID":"87de9279-9848-4ee5-acc6-e25d5c7b21ba","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":"5a1f64da-6012-407e-832e-9a34f9fbbeb1","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Pmf1DBXoLeZT2FrDMzsqtK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018F3HD2XEfCsVUwfe9fDnwU","name":"Bash","input":{"command":"find /opt/projects/.dashboard-cinik-worktrees/tom-auto-populate -type f \\( -name \"*.ts\" -o -name \"*.tsx\" \\) | grep -E \"(types|lib)\" | head -20"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":18154,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":18154,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEwD1VnB8K1Je9mdFp7","attributionAgent":"Explore","type":"assistant","uuid":"ec04bf71-79c5-4ddd-a930-a94842e2d11c","timestamp":"2026-06-07T16:48:16.595Z","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":"ec04bf71-79c5-4ddd-a930-a94842e2d11c","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018F3HD2XEfCsVUwfe9fDnwU","type":"tool_result","content":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/rankings-cinik/lib/priority.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/rankings-cinik/lib/db.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/rankings-cinik/lib/config.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/rankings-cinik/lib/monitorank.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/rankings-cinik/lib/aggregate.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/rankings-cinik/lib/translations.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/types/index.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/types/competitors.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/types/next-auth.d.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/lib/competitors-utils.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/lib/auth.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/lib/scrapingbee.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/lib/prisma.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/lib/utils.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/lib/google.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/lib/cache.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/node_modules/picocolors/types.d.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/node_modules/undici-types/mock-interceptor.d.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/node_modules/undici-types/websocket.d.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/node_modules/undici-types/fetch.d.ts","is_error":false}]},"uuid":"7aa4658f-accf-4138-94c5-b3cbe2f48535","timestamp":"2026-06-07T16:48:16.784Z","sourceToolAssistantUUID":"ec04bf71-79c5-4ddd-a930-a94842e2d11c","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":"7aa4658f-accf-4138-94c5-b3cbe2f48535","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Pmf1DBXoLeZT2FrDMzsqtK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LVexi8ktA9bhzrwzRJbPbB","name":"Bash","input":{"command":"find /opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/prisma -type f"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":18154,"cache_read_input_tokens":0,"output_tokens":257,"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":18154},"inference_geo":"not_available","iterations":[{"input_tokens":3,"output_tokens":257,"cache_read_input_tokens":0,"cache_creation_input_tokens":18154,"cache_creation":{"ephemeral_5m_input_tokens":18154,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbpEwD1VnB8K1Je9mdFp7","attributionAgent":"Explore","type":"assistant","uuid":"a5ec6db4-405e-4c7f-8614-3ac502209a33","timestamp":"2026-06-07T16:48:16.795Z","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":"a5ec6db4-405e-4c7f-8614-3ac502209a33","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LVexi8ktA9bhzrwzRJbPbB","type":"tool_result","content":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/prisma/schema.prisma","is_error":false}]},"uuid":"d667de33-b408-41ee-8be1-ce7f3acab51b","timestamp":"2026-06-07T16:48:16.842Z","sourceToolAssistantUUID":"a5ec6db4-405e-4c7f-8614-3ac502209a33","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":"d667de33-b408-41ee-8be1-ce7f3acab51b","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01TfX17Guqyt55r68MbTAzwK","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me search for TypeScript types and examine how the monthly report fields are structured:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":9381,"cache_read_input_tokens":18154,"cache_creation":{"ephemeral_5m_input_tokens":9381,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEwQ4GV4vMwEKQ2gzat","attributionAgent":"Explore","type":"assistant","uuid":"d7cc48a8-3c29-473e-a66d-764314fc117e","timestamp":"2026-06-07T16:48:18.578Z","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":"d7cc48a8-3c29-473e-a66d-764314fc117e","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01TfX17Guqyt55r68MbTAzwK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017yLeX2T3NLoy4kB5pmUWsV","name":"Read","input":{"file_path":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/types/index.ts"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":9381,"cache_read_input_tokens":18154,"cache_creation":{"ephemeral_5m_input_tokens":9381,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEwQ4GV4vMwEKQ2gzat","attributionAgent":"Explore","type":"assistant","uuid":"0e0b7e30-30a4-4d30-850f-6e1fb379a289","timestamp":"2026-06-07T16:48:19.208Z","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":"0e0b7e30-30a4-4d30-850f-6e1fb379a289","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017yLeX2T3NLoy4kB5pmUWsV","type":"tool_result","content":"1\t// =====================================\n2\t// DR CINIK SEO DASHBOARD - TYPE DEFINITIONS\n3\t// =====================================\n4\t\n5\t// Date periods for comparisons\n6\texport interface DatePeriod {\n7\t start: string;\n8\t end: string;\n9\t label: string;\n10\t}\n11\t\n12\t// =====================================\n13\t// MARKET DEFINITIONS\n14\t// =====================================\n15\t\n16\texport type MarketCode = 'en' | 'fr' | 'it' | 'london' | 'tr' | 'sr' | 'hr' | 'de' | 'es' | 'other';\n17\t\n18\texport interface Market {\n19\t code: MarketCode;\n20\t name: string;\n21\t flag: string;\n22\t path: string; // URL path filter (/fr/, /it/, etc.)\n23\t isActive: boolean; // Currently worked on\n24\t isPriority: boolean; // Show in main dashboard\n25\t}\n26\t\n27\t// =====================================\n28\t// PERFORMANCE METRICS\n29\t// =====================================\n30\t\n31\texport interface MetricWithComparison {\n32\t current: number;\n33\t previousMonth: number;\n34\t previousYear: number;\n35\t changeM1: number; // % change vs M-1\n36\t changeYoY: number; // % change vs same month last year\n37\t}\n38\t\n39\texport interface DailyMetric {\n40\t date: string;\n41\t value: number;\n42\t previousValue?: number;\n43\t}\n44\t\n45\t// =====================================\n46\t// MARKET PERFORMANCE\n47\t// =====================================\n48\t\n49\texport interface MarketPerformance {\n50\t market: Market;\n51\t clicks: MetricWithComparison;\n52\t conversions: MetricWithComparison;\n53\t impressions: MetricWithComparison;\n54\t conversionRate: number;\n55\t dailyAverageClicks: number;\n56\t dailyAverageClicksChange: number;\n57\t nonBrandedPercent: number;\n58\t brandedClicks: number;\n59\t brandedImpressions: number;\n60\t avgPosition: number;\n61\t avgPositionChange: number;\n62\t // Ranking summary\n63\t keywordsTop3: number;\n64\t keywordsTop10: number;\n65\t keywordsTop50: number;\n66\t totalKeywords: number;\n67\t // Trends\n68\t dailyClicks: DailyMetric[];\n69\t dailyImpressions: DailyMetric[];\n70\t}\n71\t\n72\t// =====================================\n73\t// KEYWORD TRACKING\n74\t// =====================================\n75\t\n76\texport type KeywordStatus = 'maintained' | 'improved' | 'declined' | 'new' | 'lost';\n77\t\n78\texport interface TrackedKeyword {\n79\t keyword: string;\n80\t market: MarketCode;\n81\t currentPosition: number;\n82\t positionM1: number;\n83\t positionM2: number;\n84\t positionM3: number;\n85\t searchVolume: number;\n86\t url: string;\n87\t isPrimary: boolean; // Main target keyword\n88\t status: KeywordStatus;\n89\t positionChange: number; // vs M-1\n90\t}\n91\t\n92\texport interface KeywordRanking {\n93\t keyword: string;\n94\t currentPosition: number;\n95\t previousPosition: number;\n96\t volume: number;\n97\t url: string;\n98\t trend: 'up' | 'down' | 'stable';\n99\t}\n100\t\n101\t// =====================================\n102\t// RANKING DISTRIBUTION\n103\t// =====================================\n104\t\n105\texport interface RankingDistribution {\n106\t top3: number;\n107\t top3Change: number;\n108\t top10: number;\n109\t top10Change: number;\n110\t top50: number;\n111\t top50Change: number;\n112\t total: number;\n113\t totalChange: number;\n114\t}\n115\t\n116\t// =====================================\n117\t// LLM TRAFFIC\n118\t// =====================================\n119\t\n120\texport interface LLMSource {\n121\t name: string;\n122\t identifier: string;\n123\t icon: string;\n124\t visits: number;\n125\t conversions: number;\n126\t conversionRate: number;\n127\t changeM1: number;\n128\t}\n129\t\n130\t// =====================================\n131\t// ALERTS SYSTEM\n132\t// =====================================\n133\t\n134\texport type AlertType = 'positive' | 'attention' | 'warning';\n135\t\n136\texport interface Alert {\n137\t id: string;\n138\t type: AlertType;\n139\t title: string;\n140\t description: string;\n141\t market?: MarketCode;\n142\t metric?: string;\n143\t value?: number;\n144\t timestamp: string;\n145\t}\n146\t\n147\t// =====================================\n148\t// EXECUTIVE SUMMARY\n149\t// =====================================\n150\t\n151\texport interface ExecutiveSummary {\n152\t totalSEOLeads: MetricWithComparison;\n153\t totalSEOClicks: MetricWithComparison;\n154\t totalConversionRate: number;\n155\t conversionRateChange: number;\n156\t monthRanking: string; // e.g., \"2nd best month of 2025\"\n157\t bestMonthValue: number;\n158\t alerts: Alert[];\n159\t mainKeywordRankings: {\n160\t market: Market;\n161\t keyword: string;\n162\t position: number;\n163\t change: number;\n164\t }[];\n165\t}\n166\t\n167\t// =====================================\n168\t// HISTORICAL BENCHMARKS\n169\t// =====================================\n170\t\n171\texport interface Benchmark {\n172\t metric: string;\n173\t bestMonth2025: number;\n174\t bestMonth2025Label: string;\n175\t average2025: number;\n176\t bestMonth2024: number;\n177\t}\n178\t\n179\t// =====================================\n180\t// SEMRUSH DATA\n181\t// =====================================\n182\t\n183\texport interface SemrushRanking {\n184\t month: string;\n185\t top3: number;\n186\t top10: number;\n187\t top20: number;\n188\t top50: number;\n189\t top100: number;\n190\t}\n191\t\n192\t// =====================================\n193\t// CHANNEL DATA (for pie charts)\n194\t// =====================================\n195\t\n196\texport interface ChannelData {\n197\t name: string;\n198\t sessions: number;\n199\t conversions: number;\n200\t color: string;\n201\t}\n202\t\n203\texport interface CountryData {\n204\t country: string;\n205\t code: string;\n206\t flag: string;\n207\t sessions: number;\n208\t conversions: number;\n209\t seoClicks: number;\n210\t change: number;\n211\t}\n212\t\n213\t// =====================================\n214\t// BRAND AWARENESS\n215\t// =====================================\n216\t\n217\texport interface BrandAwareness {\n218\t brandedImpressions: number;\n219\t brandedClicks: number;\n220\t nonBrandedImpressions: number;\n221\t nonBrandedClicks: number;\n222\t brandedChange: number;\n223\t nonBrandedChange: number;\n224\t}\n225\t\n226\t// =====================================\n227\t// SEO METRICS (legacy support)\n228\t// =====================================\n229\t\n230\texport interface SEOMetrics {\n231\t totalClicks: number;\n232\t totalImpressions: number;\n233\t avgPosition: number;\n234\t ctr: number;\n235\t clicksChange: number;\n236\t impressionsChange: number;\n237\t positionChange: number;\n238\t ctrChange: number;\n239\t}\n240\t\n241\texport interface LanguageReport {\n242\t code: string;\n243\t name: string;\n244\t flag: string;\n245\t seoMetrics: SEOMetrics;\n246\t brandAwareness: BrandAwareness;\n247\t topKeywords: KeywordRanking[];\n248\t dailyClicks: DailyMetric[];\n249\t dailyImpressions: DailyMetric[];\n250\t}\n251\t\n252\t// =====================================\n253\t// OVERVIEW DATA\n254\t// =====================================\n255\t\n256\texport interface OverviewData {\n257\t totalSessions: number;\n258\t totalConversions: number;\n259\t sessionsChange: number;\n260\t conversionsChange: number;\n261\t channelData: ChannelData[];\n262\t countryData: CountryData[];\n263\t dailySessions: DailyMetric[];\n264\t dailyConversions: DailyMetric[];\n265\t}\n266\t\n267\t// =====================================\n268\t// REPORT CONFIG\n269\t// =====================================\n270\t\n271\texport type DateRange = '7d' | '30d' | '90d' | 'ytd' | 'custom';\n272\texport type ComparisonMode = 'previous' | 'year' | 'none';\n273\t\n274\texport interface ReportConfig {\n275\t period: DatePeriod;\n276\t comparisonPeriod: DatePeriod;\n277\t markets: MarketCode[];\n278\t showInactiveMarkets: boolean;\n279\t}\n280\t\n281\t// =====================================\n282\t// NEW V2 TYPES\n283\t// =====================================\n284\t\n285\t// Keyword ranking with Mobile/Desktop positions\n286\texport interface KeywordRankingWithDevice {\n287\t keyword: string;\n288\t market: MarketCode;\n289\t positionMobile: number | null;\n290\t positionDesktop: number | null;\n291\t positionMobileM1: number | null;\n292\t positionDesktopM1: number | null;\n293\t searchVolume: number;\n294\t landingPage?: string;\n295\t isPrimary: boolean;\n296\t source: 'seomonitor' | 'monitorank' | 'dataforseo';\n297\t}\n298\t\n299\t// Google Discover data\n300\texport interface DiscoverData {\n301\t clicks: number;\n302\t impressions: number;\n303\t ctr: number;\n304\t clicksChangeM1: number;\n305\t clicksChangeYoY: number;\n306\t topPages: {\n307\t page: string;\n308\t clicks: number;\n309\t impressions: number;\n310\t ctr: number;\n311\t }[];\n312\t dailyClicks: DailyMetric[];\n313\t}\n314\t\n315\t// Import status for CSV imports\n316\texport interface ImportStatus {\n317\t source: 'zoho' | 'semrush';\n318\t lastImport: string | null;\n319\t lastImportStatus: 'success' | 'error' | 'pending';\n320\t recordCount: number;\n321\t dateRange: {\n322\t start: string;\n323\t end: string;\n324\t } | null;\n325\t}\n326\t\n327\t// API Configuration\n328\texport interface ApiConfig {\n329\t provider: 'seomonitor' | 'monitorank' | 'dataforseo' | 'google_analytics' | 'google_search_console';\n330\t isConnected: boolean;\n331\t lastSync: string | null;\n332\t accountId?: string;\n333\t propertyId?: string;\n334\t siteUrl?: string;\n335\t}\n336\t\n337\t// Sync log entry\n338\texport interface SyncLogEntry {\n339\t id: number;\n340\t month: string;\n341\t provider: string;\n342\t startedAt: string;\n343\t completedAt: string | null;\n344\t status: 'success' | 'error' | 'partial';\n345\t recordsProcessed: number | null;\n346\t errorMessage: string | null;\n347\t}\n348\t\n349\t// Global traffic view data\n350\texport interface GlobalTrafficData {\n351\t totalSessions: number;\n352\t totalConversions: number;\n353\t sessionsChangeM1: number;\n354\t sessionsChangeYoY: number;\n355\t conversionsChangeM1: number;\n356\t conversionsChangeYoY: number;\n357\t channelData: {\n358\t channel: string;\n359\t sessions: number;\n360\t conversions: number;\n361\t color: string;\n362\t }[];\n363\t countryData: {\n364\t countryCode: string;\n365\t countryName: string;\n366\t sessions: number;\n367\t conversions: number;\n368\t }[];\n369\t dailyByChannel: {\n370\t date: string;\n371\t [channel: string]: number | string;\n372\t }[];\n373\t}\n374\t\n375\t// SEO Lead data per market\n376\texport interface MarketLeads {\n377\t marketCode: MarketCode;\n378\t leads: number;\n379\t leadsM1: number;\n380\t leadsY1: number;\n381\t changeM1: number;\n382\t changeYoY: number;\n383\t}\n384\t"}]},"uuid":"34133374-2f26-49f6-84fc-9c990152e9bb","timestamp":"2026-06-07T16:48:19.215Z","sourceToolAssistantUUID":"0e0b7e30-30a4-4d30-850f-6e1fb379a289","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":"34133374-2f26-49f6-84fc-9c990152e9bb","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01TfX17Guqyt55r68MbTAzwK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KsuV88vwtXQz9E4xMknf82","name":"Bash","input":{"command":"find /opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src -type f -name \"*.ts\" -o -name \"*.tsx\" | grep -v node_modules | head -30"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":9381,"cache_read_input_tokens":18154,"output_tokens":182,"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":9381},"inference_geo":"not_available","iterations":[{"input_tokens":7,"output_tokens":182,"cache_read_input_tokens":18154,"cache_creation_input_tokens":9381,"cache_creation":{"ephemeral_5m_input_tokens":9381,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbpEwQ4GV4vMwEKQ2gzat","attributionAgent":"Explore","type":"assistant","uuid":"d32f2f73-a96d-47a8-bde8-165b379f8548","timestamp":"2026-06-07T16:48:19.512Z","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":"d32f2f73-a96d-47a8-bde8-165b379f8548","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KsuV88vwtXQz9E4xMknf82","type":"tool_result","content":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/types/index.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/types/competitors.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/types/next-auth.d.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/lib/competitors-utils.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/lib/auth.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/lib/scrapingbee.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/lib/prisma.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/lib/utils.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/lib/google.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/lib/cache.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/layout.tsx\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/components/ui/KeywordsTable.tsx\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/components/ui/CompetitorCard.tsx\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/components/ui/Logo.tsx\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/components/ui/BacklinkCard.tsx\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/components/ui/index.ts\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/components/ui/LLMTraffic.tsx\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/components/ui/SyncButton.tsx\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/components/ui/MarketCard.tsx\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/components/ui/KeywordTable.tsx\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/components/ui/SyncRequiredBanner.tsx\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/components/ui/KpiCard.tsx\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/components/ui/CompetitorPostCard.tsx\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/components/ui/CountryTable.tsx\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/components/ui/BacklinkUploadModal.tsx\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/components/ui/BrandAwareness.tsx\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/components/ui/AlertBadge.tsx\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/components/ui/MarketFilter.tsx\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/components/charts/StackedAreaChart.tsx\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/components/charts/index.ts","is_error":false}]},"uuid":"2e2ea89d-4f86-4554-b622-a553d179f9a8","timestamp":"2026-06-07T16:48:19.605Z","sourceToolAssistantUUID":"d32f2f73-a96d-47a8-bde8-165b379f8548","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":"2e2ea89d-4f86-4554-b622-a553d179f9a8","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01HEt5gjsKyEZ71z3mmHRAbf","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me search for how the monthly report fields are populated and structured:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":4678,"cache_read_input_tokens":27535,"cache_creation":{"ephemeral_5m_input_tokens":4678,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEwbmU2wi4jeWwRq5hs","attributionAgent":"Explore","type":"assistant","uuid":"81e2dd62-bbe8-498b-88dd-e7efb8f085a0","timestamp":"2026-06-07T16:48:21.448Z","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":"81e2dd62-bbe8-498b-88dd-e7efb8f085a0","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01HEt5gjsKyEZ71z3mmHRAbf","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VbCJNQf7nwXeWxLDtanKPi","name":"Bash","input":{"command":"grep -r \"dashboardData\\|marketsData\\|discoverData\\|llmData\\|competitorsData\\|backlinksData\\|insightsContent\\|newsData\" /opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src --include=\"*.ts\" --include=\"*.tsx\" -l | head -20"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":4678,"cache_read_input_tokens":27535,"cache_creation":{"ephemeral_5m_input_tokens":4678,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEwbmU2wi4jeWwRq5hs","attributionAgent":"Explore","type":"assistant","uuid":"a7184d2f-5bf1-4ac2-8591-2405b945dee2","timestamp":"2026-06-07T16:48:22.316Z","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":"a7184d2f-5bf1-4ac2-8591-2405b945dee2","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VbCJNQf7nwXeWxLDtanKPi","type":"tool_result","content":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/components/ui/SyncRequiredBanner.tsx\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/dr-cinik/[month-year]/layout.tsx\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/reports/[slug]/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/components/providers/ReportProvider.tsx\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/(backoffice)/settings/insights/page.tsx\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/(backoffice)/competitors/page.tsx\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/dr-cinik/[month-year]/page.tsx\n/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/dr-cinik/[month-year]/competitors/page.tsx\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/dr-cinik/[month-year]/competitors/[slug]/page.tsx\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/(backoffice)/page.tsx\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/(backoffice)/competitors/[slug]/page.tsx\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/llm/route.ts","is_error":false}]},"uuid":"c67ed029-2ce8-45e7-82f2-8bfb6f83c6af","timestamp":"2026-06-07T16:48:22.397Z","sourceToolAssistantUUID":"a7184d2f-5bf1-4ac2-8591-2405b945dee2","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":"c67ed029-2ce8-45e7-82f2-8bfb6f83c6af","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01HEt5gjsKyEZ71z3mmHRAbf","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01E4BVHDtyyPwamcbX98PMXD","name":"Bash","input":{"command":"find /opt/projects/.dashboard-cinik-worktrees/tom-auto-populate -path \"*/node_modules\" -prune -o -type f -name \"*.ts\" -print | xargs grep -l \"MonthlyReport\" 2>/dev/null | head -15"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":4678,"cache_read_input_tokens":27535,"cache_creation":{"ephemeral_5m_input_tokens":4678,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEwbmU2wi4jeWwRq5hs","attributionAgent":"Explore","type":"assistant","uuid":"9c65592c-3082-4edc-b233-2d5baf4cf8cf","timestamp":"2026-06-07T16:48:22.626Z","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":"9c65592c-3082-4edc-b233-2d5baf4cf8cf","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01E4BVHDtyyPwamcbX98PMXD","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"ef603fa1-33cc-4158-80f0-cabe9ffae302","timestamp":"2026-06-07T16:48:22.700Z","sourceToolAssistantUUID":"9c65592c-3082-4edc-b233-2d5baf4cf8cf","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":"ef603fa1-33cc-4158-80f0-cabe9ffae302","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_018nfrQaXGQD381nTF823nkA","type":"message","role":"assistant","content":[{"type":"text","text":"Let me look at the key API routes and report generation logic:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1083,"cache_read_input_tokens":32213,"cache_creation":{"ephemeral_5m_input_tokens":1083,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEwpyTqAR9GYTZKBv8r","attributionAgent":"Explore","type":"assistant","uuid":"8aa2dd2a-4bbd-49f7-8813-733fa3704ab3","timestamp":"2026-06-07T16:48:24.238Z","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":"8aa2dd2a-4bbd-49f7-8813-733fa3704ab3","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_018nfrQaXGQD381nTF823nkA","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VcLy9eFBNoQuZ3X1T6HyzD","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":7,"cache_creation_input_tokens":1083,"cache_read_input_tokens":32213,"cache_creation":{"ephemeral_5m_input_tokens":1083,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEwpyTqAR9GYTZKBv8r","attributionAgent":"Explore","type":"assistant","uuid":"6e7a0797-6c9d-46c6-8b08-92bc5a3c49ab","timestamp":"2026-06-07T16:48:24.468Z","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":"6e7a0797-6c9d-46c6-8b08-92bc5a3c49ab","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VcLy9eFBNoQuZ3X1T6HyzD","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":"061b5070-7b5d-41e2-b3ce-ddd9b500ab18","timestamp":"2026-06-07T16:48:24.473Z","sourceToolAssistantUUID":"6e7a0797-6c9d-46c6-8b08-92bc5a3c49ab","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":"061b5070-7b5d-41e2-b3ce-ddd9b500ab18","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_018nfrQaXGQD381nTF823nkA","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Vd3iv9HchKdZkpznsV6o82","name":"Read","input":{"file_path":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/dashboard/route.ts"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1083,"cache_read_input_tokens":32213,"output_tokens":165,"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":1083},"inference_geo":"not_available","iterations":[{"input_tokens":7,"output_tokens":165,"cache_read_input_tokens":32213,"cache_creation_input_tokens":1083,"cache_creation":{"ephemeral_5m_input_tokens":1083,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbpEwpyTqAR9GYTZKBv8r","attributionAgent":"Explore","type":"assistant","uuid":"380bb24e-1749-4740-8462-6577e9cafb51","timestamp":"2026-06-07T16:48:24.593Z","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":"380bb24e-1749-4740-8462-6577e9cafb51","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Vd3iv9HchKdZkpznsV6o82","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/**\n81\t * GET /api/dashboard\n82\t * Returns dashboard data from pre-generated reports (fast) or fetches fresh data if needed\n83\t * \n84\t * Query params:\n85\t * - year, month: Period to fetch\n86\t * - compareMode: 'm-1' (previous month) or 'y-1' (same month last year)\n87\t * - forceRefresh: 'true' to bypass cache and fetch fresh data from APIs\n88\t */\n89\texport async function GET(request: NextRequest) {\n90\t // #region agent log\n91\t debugLog('H1', 'Dashboard API Request Started', { url: request.url });\n92\t // #endregion\n93\t \n94\t try {\n95\t const session = await getServerSession(authOptions);\n96\t \n97\t if (!session?.user?.id) {\n98\t // #region agent log\n99\t debugLog('H1', 'Dashboard API Unauthorized', { hasSession: !!session });\n100\t // #endregion\n101\t return NextResponse.json({ error: 'Unauthorized' }, { status: 401 });\n102\t }\n103\t \n104\t // #region agent log\n105\t debugLog('H1', 'Dashboard API Authenticated', { userId: session.user.id });\n106\t // #endregion\n107\t\n108\t // Default to previous month for the report\n109\t const now = new Date();\n110\t const defaultMonth = now.getMonth() === 0 ? 12 : now.getMonth();\n111\t const defaultYear = now.getMonth() === 0 ? now.getFullYear() - 1 : now.getFullYear();\n112\t const year = parseInt(request.nextUrl.searchParams.get('year') || String(defaultYear));\n113\t const month = parseInt(request.nextUrl.searchParams.get('month') || String(defaultMonth));\n114\t const compareMode = request.nextUrl.searchParams.get('compareMode') || 'm-1'; // 'm-1' = previous month, 'n-1' = same month last year\n115\t const forceRefresh = request.nextUrl.searchParams.get('forceRefresh') === 'true';\n116\t\n117\t // =========================================\n118\t // INSTANT PATH: In-memory cache (avoids even DB queries on repeated calls)\n119\t // =========================================\n120\t const memoryCacheKey = `dashboard:${year}:${month}:${compareMode}`;\n121\t if (!forceRefresh) {\n122\t const cached = cache.get(memoryCacheKey);\n123\t if (cached) {\n124\t console.log(`[Dashboard] ⚡ MEMORY CACHE HIT for ${year}-${month} (${compareMode})`);\n125\t return NextResponse.json(cached);\n126\t }\n127\t }\n128\t\n129\t // =========================================\n130\t // FAST PATH 1: Try to use pre-generated report data\n131\t // =========================================\n132\t if (!forceRefresh) {\n133\t const slug = `${MONTH_NAMES_SLUG[month - 1]}-${year}`;\n134\t const report = await prisma.monthlyReport.findUnique({\n135\t where: { slug },\n136\t select: { dashboardData: true, status: true },\n137\t });\n138\t\n139\t if (report?.dashboardData) {\n140\t const dashboardData = report.dashboardData as Record;\n141\t const modeKey = compareMode === 'y-1' || compareMode === 'n-1' ? 'y-1' : 'm-1';\n142\t \n143\t if (dashboardData[modeKey]) {\n144\t console.log(`[Dashboard] Using cached report data for ${slug} (${modeKey})`);\n145\t cache.set(memoryCacheKey, dashboardData[modeKey], 300); // 5 min\n146\t return NextResponse.json(dashboardData[modeKey]);\n147\t }\n148\t }\n149\t \n150\t // =========================================\n151\t // FAST PATH 2: Build from database tables (monthly_*)\n152\t // =========================================\n153\t const currentMonthDate = new Date(Date.UTC(year, month - 1, 1));\n154\t \n155\t // Previous period\n156\t let prevMonth: number;\n157\t let prevYear: number;\n158\t if (compareMode === 'n-1' || compareMode === 'y-1') {\n159\t prevMonth = month;\n160\t prevYear = year - 1;\n161\t } else {\n162\t prevMonth = month === 1 ? 12 : month - 1;\n163\t prevYear = month === 1 ? year - 1 : year;\n164\t }\n165\t const prevMonthDate = new Date(Date.UTC(prevYear, prevMonth - 1, 1));\n166\t\n167\t // Check if we have data in database tables\n168\t const [channelData, channelDataPrev, searchData, searchDataPrev, zohoData, zohoPrevData] = await Promise.all([\n169\t prisma.$queryRaw`SELECT channel, sessions, conversions FROM monthly_channel_traffic WHERE month = ${currentMonthDate}`,\n170\t prisma.$queryRaw`SELECT channel, sessions, conversions FROM monthly_channel_traffic WHERE month = ${prevMonthDate}`,\n171\t prisma.$queryRaw`SELECT market_code, clicks, impressions, avg_position, ctr FROM monthly_search_traffic WHERE month = ${currentMonthDate}`,\n172\t prisma.$queryRaw`SELECT market_code, clicks, impressions, avg_position, ctr FROM monthly_search_traffic WHERE month = ${prevMonthDate}`,\n173\t prisma.monthlyLead.findMany({ where: { month: currentMonthDate } }),\n174\t prisma.monthlyLead.findMany({ where: { month: prevMonthDate } }),\n175\t ]);\n176\t\n177\t // If we have channel data in DB, build response from it\n178\t if (channelData.length > 0) {\n179\t console.log(`[Dashboard] Using database tables for ${year}-${month}`);\n180\t \n181\t // Build channel map\n182\t const channelPrevMap = new Map(channelDataPrev.map((c: any) => [c.channel, c]));\n183\t const channels = channelData.map((c: any) => {\n184\t const prev = channelPrevMap.get(c.channel) || { sessions: 0, conversions: 0 };\n185\t return {\n186\t channel: c.channel,\n187\t sessions: c.sessions || 0,\n188\t conversions: c.conversions || 0,\n189\t sessionsPrev: prev.sessions || 0,\n190\t conversionsPrev: prev.conversions || 0,\n191\t sessionsChange: prev.sessions > 0 ? ((c.sessions - prev.sessions) / prev.sessions) * 100 : 0,\n192\t conversionsChange: prev.conversions > 0 ? ((c.conversions - prev.conversions) / prev.conversions) * 100 : 0,\n193\t };\n194\t });\n195\t\n196\t // Calculate totals\n197\t const totalSessions = channels.reduce((s, c) => s + c.sessions, 0);\n198\t const totalSessionsPrev = channels.reduce((s, c) => s + c.sessionsPrev, 0);\n199\t const totalConversions = channels.reduce((s, c) => s + c.conversions, 0);\n200\t const totalConversionsPrev = channels.reduce((s, c) => s + c.conversionsPrev, 0);\n201\t const sessionsChange = totalSessionsPrev > 0 ? ((totalSessions - totalSessionsPrev) / totalSessionsPrev) * 100 : 0;\n202\t const conversionsChange = totalConversionsPrev > 0 ? ((totalConversions - totalConversionsPrev) / totalConversionsPrev) * 100 : 0;\n203\t\n204\t // Organic data\n205\t const organic = channels.find(c => c.channel === 'Organic Search') || { sessions: 0, conversions: 0, sessionsPrev: 0, conversionsPrev: 0, sessionsChange: 0, conversionsChange: 0 };\n206\t\n207\t // Search console totals\n208\t const searchTotal = searchData.find((s: any) => s.market_code === 'total') || { clicks: 0, impressions: 0, avg_position: 0, ctr: 0 };\n209\t const searchPrev = searchDataPrev.find((s: any) => s.market_code === 'total') || { clicks: 0, impressions: 0, avg_position: 0, ctr: 0 };\n210\t const clicksChange = searchPrev.clicks > 0 ? ((searchTotal.clicks - searchPrev.clicks) / searchPrev.clicks) * 100 : 0;\n211\t\n212\t // Zoho maps\n213\t const zohoCurrentMap = new Map(zohoData.map(l => [l.marketCode, l.leads]));\n214\t const zohoPrevMap = new Map(zohoPrevData.map(l => [l.marketCode, l.leads]));\n215\t const zohoSeoTotal = zohoCurrentMap.get('seo_total') || (\n216\t (zohoCurrentMap.get('en') || 0) + (zohoCurrentMap.get('fr') || 0) + \n217\t (zohoCurrentMap.get('it') || 0) + (zohoCurrentMap.get('london') || 0) + (zohoCurrentMap.get('other') || 0)\n218\t );\n219\t const zohoSeoPrevTotal = zohoPrevMap.get('seo_total') || (\n220\t (zohoPrevMap.get('en') || 0) + (zohoPrevMap.get('fr') || 0) + \n221\t (zohoPrevMap.get('it') || 0) + (zohoPrevMap.get('london') || 0) + (zohoPrevMap.get('other') || 0)\n222\t );\n223\t\n224\t // Build primary markets from search data\n225\t const searchPrevMap = new Map(searchDataPrev.map((s: any) => [s.market_code, s]));\n226\t const PRIMARY_MARKET_CODES = ['en', 'it', 'fr', 'tr', 'london', 'sr', 'hr', 'us'];\n227\t const ZOHO_MARKET_CODES = ['fr', 'en', 'it', 'london'];\n228\t \n229\t const primaryMarkets = searchData\n230\t .filter((s: any) => PRIMARY_MARKET_CODES.includes(s.market_code))\n231\t .map((s: any) => {\n232\t const prev = searchPrevMap.get(s.market_code) || { clicks: 0, impressions: 0 };\n233\t const info = MARKET_PATHS[s.market_code] || { name: s.market_code, flag: '🌍', path: '/' };\n234\t const hasZoho = ZOHO_MARKET_CODES.includes(s.market_code);\n235\t const zohoLeads = zohoCurrentMap.get(s.market_code) || 0;\n236\t const zohoLeadsPrev = zohoPrevMap.get(s.market_code) || 0;\n237\t \n238\t return {\n239\t code: s.market_code,\n240\t name: info.name,\n241\t flag: info.flag,\n242\t path: info.path,\n243\t clicks: s.clicks || 0,\n244\t clicksPrev: prev.clicks || 0,\n245\t clicksChange: prev.clicks > 0 ? ((s.clicks - prev.clicks) / prev.clicks) * 100 : 0,\n246\t impressions: toSafeNumber(s.impressions),\n247\t position: parseFloat(s.avg_position) || 0,\n248\t ctr: parseFloat(s.ctr) * 100 || 0,\n249\t sessions: s.clicks || 0, // Approximation\n250\t sessionsPrev: prev.clicks || 0,\n251\t sessionsChange: prev.clicks > 0 ? ((s.clicks - prev.clicks) / prev.clicks) * 100 : 0,\n252\t conversions: hasZoho ? zohoLeads : 0,\n253\t conversionsPrev: hasZoho ? zohoLeadsPrev : 0,\n254\t conversionsChange: zohoLeadsPrev > 0 ? ((zohoLeads - zohoLeadsPrev) / zohoLeadsPrev) * 100 : 0,\n255\t conversionRate: s.clicks > 0 ? (zohoLeads / s.clicks) * 100 : 0,\n256\t dataSource: hasZoho ? 'zoho' : 'analytics',\n257\t isPrimary: true,\n258\t };\n259\t })\n260\t .sort((a: any, b: any) => b.clicks - a.clicks);\n261\t\n262\t const { startDate, endDate } = getMonthBounds(year, month);\n263\t const { startDate: prevStartDate, endDate: prevEndDate } = getMonthBounds(prevYear, prevMonth);\n264\t\n265\t const dbResponse = {\n266\t period: {\n267\t year, month, startDate, endDate,\n268\t label: new Date(year, month - 1, 1).toLocaleDateString('en-US', { month: 'long', year: 'numeric' }),\n269\t },\n270\t comparison: {\n271\t mode: compareMode, prevYear, prevMonth, prevStartDate, prevEndDate,\n272\t prevLabel: new Date(prevYear, prevMonth - 1, 1).toLocaleDateString('en-US', { month: 'long', year: 'numeric' }),\n273\t },\n274\t analytics: {\n275\t totalSessions, totalConversions, sessionsChange, conversionsChange,\n276\t conversionRate: totalSessions > 0 ? (totalConversions / totalSessions) * 100 : 0,\n277\t organic: {\n278\t sessions: organic.sessions,\n279\t conversions: organic.conversions,\n280\t sessionsChange: organic.sessionsChange,\n281\t conversionsChange: organic.conversionsChange,\n282\t },\n283\t channels,\n284\t daily: [], // Not available from monthly tables\n285\t countriesAnalytics: [],\n286\t monthlyByChannel: [],\n287\t },\n288\t searchConsole: {\n289\t totalClicks: searchTotal.clicks || 0,\n290\t totalImpressions: toSafeNumber(searchTotal.impressions),\n291\t avgPosition: parseFloat(searchTotal.avg_position) || 0,\n292\t ctr: parseFloat(searchTotal.ctr) * 100 || 0,\n293\t clicksChange,\n294\t countries: [],\n295\t daily: [],\n296\t },\n297\t markets: primaryMarkets,\n298\t primaryMarkets,\n299\t otherMarkets: [],\n300\t discover: { clicks: 0, impressions: 0, ctr: 0, clicksPrev: 0, clicksChange: 0 },\n301\t zoho: {\n302\t seoTotal: zohoSeoTotal,\n303\t seoPrevTotal: zohoSeoPrevTotal,\n304\t seoChange: zohoSeoPrevTotal > 0 ? ((zohoSeoTotal - zohoSeoPrevTotal) / zohoSeoPrevTotal) * 100 : 0,\n305\t byMarket: ZOHO_MARKET_CODES.map(code => ({\n306\t marketCode: code,\n307\t leads: zohoCurrentMap.get(code) || 0,\n308\t leadsPrev: zohoPrevMap.get(code) || 0,\n309\t leadsChange: (zohoPrevMap.get(code) || 0) > 0 ? (((zohoCurrentMap.get(code) || 0) - (zohoPrevMap.get(code) || 0)) / (zohoPrevMap.get(code) || 0)) * 100 : 0,\n310\t })),\n311\t conversionRate: organic.sessions > 0 ? (zohoSeoTotal / organic.sessions) * 100 : 0,\n312\t },\n313\t _source: 'database', // Indicator that data came from DB tables\n314\t };\n315\t cache.set(memoryCacheKey, dbResponse, 300); // 5 min\n316\t return NextResponse.json(dbResponse);\n317\t }\n318\t \n319\t console.log(`[Dashboard] No cached data for ${slug}, fetching fresh data...`);\n320\t } else {\n321\t console.log(`[Dashboard] Force refresh requested, fetching fresh data...`);\n322\t }\n323\t\n324\t // =========================================\n325\t // SLOW PATH: Fetch fresh data from APIs (only if no DB data)\n326\t // =========================================\n327\t const analytics = await getAnalyticsClient(session.user.id);\n328\t const searchConsole = await getSearchConsoleClient(session.user.id);\n329\t \n330\t const { startDate, endDate } = getMonthBounds(year, month);\n331\t \n332\t // Previous period bounds based on compareMode\n333\t let prevMonth: number;\n334\t let prevYear: number;\n335\t \n336\t if (compareMode === 'n-1' || compareMode === 'y-1') {\n337\t // Same month, previous year (Y-1 / N-1)\n338\t prevMonth = month;\n339\t prevYear = year - 1;\n340\t } else {\n341\t // Previous month (M-1)\n342\t prevMonth = month === 1 ? 12 : month - 1;\n343\t prevYear = month === 1 ? year - 1 : year;\n344\t }\n345\t \n346\t const { startDate: prevStartDate, endDate: prevEndDate } = getMonthBounds(prevYear, prevMonth);\n347\t\n348\t // =========================================\n349\t // 1. ANALYTICS: Sessions & Conversions by Channel\n350\t // =========================================\n351\t const channelResponse = await analytics.properties.runReport({\n352\t property: `properties/${PROPERTY_ID}`,\n353\t requestBody: {\n354\t dateRanges: [\n355\t { startDate, endDate, name: 'current' },\n356\t { startDate: prevStartDate, endDate: prevEndDate, name: 'previous' },\n357\t ],\n358\t dimensions: [{ name: 'sessionDefaultChannelGroup' }],\n359\t metrics: [\n360\t { name: 'sessions' },\n361\t { name: 'conversions' },\n362\t ],\n363\t },\n364\t });\n365\t\n366\t // GA4 returns separate rows for each date_range, we need to merge them by channel\n367\t const channelMap = new Map();\n368\t \n369\t (channelResponse.data.rows || []).forEach((row) => {\n370\t const channel = normalizeChannelName(row.dimensionValues?.[0]?.value || 'Unknown');\n371\t const dateRange = row.dimensionValues?.[1]?.value || 'date_range_0';\n372\t const sessions = parseInt(row.metricValues?.[0]?.value || '0');\n373\t const conversions = parseInt(row.metricValues?.[1]?.value || '0');\n374\t \n375\t if (!channelMap.has(channel)) {\n376\t channelMap.set(channel, { sessions: 0, conversions: 0, sessionsPrev: 0, conversionsPrev: 0 });\n377\t }\n378\t \n379\t const data = channelMap.get(channel)!;\n380\t if (dateRange === 'date_range_0' || dateRange === 'current') {\n381\t data.sessions = sessions;\n382\t data.conversions = conversions;\n383\t } else {\n384\t data.sessionsPrev = sessions;\n385\t data.conversionsPrev = conversions;\n386\t }\n387\t });\n388\t\n389\t const channelData = Array.from(channelMap.entries()).map(([channel, data]) => ({\n390\t channel,\n391\t sessions: data.sessions,\n392\t conversions: data.conversions,\n393\t sessionsPrev: data.sessionsPrev,\n394\t conversionsPrev: data.conversionsPrev,\n395\t }));\n396\t\n397\t // =========================================\n398\t // 1b. ANALYTICS: Paid Channels filtered for HAIR pages only\n399\t // =========================================\n400\t const paidHairResponse = await analytics.properties.runReport({\n401\t property: `properties/${PROPERTY_ID}`,\n402\t requestBody: {\n403\t dateRanges: [\n404\t { startDate, endDate, name: 'current' },\n405\t { startDate: prevStartDate, endDate: prevEndDate, name: 'previous' },\n406\t ],\n407\t dimensions: [{ name: 'sessionDefaultChannelGroup' }],\n408\t metrics: [\n409\t { name: 'sessions' },\n410\t { name: 'conversions' },\n411\t ],\n412\t dimensionFilter: {\n413\t andGroup: {\n414\t expressions: [\n415\t {\n416\t filter: {\n417\t fieldName: 'sessionDefaultChannelGroup',\n418\t inListFilter: {\n419\t values: ['Paid Search', 'Paid Social', 'Paid Other'],\n420\t },\n421\t },\n422\t },\n423\t {\n424\t orGroup: {\n425\t expressions: HAIR_PAGE_PATTERNS.map(pattern => ({\n426\t filter: {\n427\t fieldName: 'landingPage',\n428\t stringFilter: {\n429\t matchType: 'CONTAINS',\n430\t value: pattern,\n431\t caseSensitive: false,\n432\t },\n433\t },\n434\t })),\n435\t },\n436\t },\n437\t ],\n438\t },\n439\t },\n440\t },\n441\t });\n442\t\n443\t // Override Paid channels with hair-filtered data\n444\t const paidHairMap = new Map();\n445\t \n446\t (paidHairResponse.data.rows || []).forEach((row) => {\n447\t const channel = normalizeChannelName(row.dimensionValues?.[0]?.value || 'Unknown');\n448\t const dateRange = row.dimensionValues?.[1]?.value || 'date_range_0';\n449\t const sessions = parseInt(row.metricValues?.[0]?.value || '0');\n450\t const conversions = parseInt(row.metricValues?.[1]?.value || '0');\n451\t \n452\t if (!paidHairMap.has(channel)) {\n453\t paidHairMap.set(channel, { sessions: 0, conversions: 0, sessionsPrev: 0, conversionsPrev: 0 });\n454\t }\n455\t \n456\t const data = paidHairMap.get(channel)!;\n457\t if (dateRange === 'date_range_0' || dateRange === 'current') {\n458\t data.sessions = sessions;\n459\t data.conversions = conversions;\n460\t } else {\n461\t data.sessionsPrev = sessions;\n462\t data.conversionsPrev = conversions;\n463\t }\n464\t });\n465\t\n466\t // Replace Paid channels in channelData with hair-filtered data\n467\t channelData.forEach((ch, idx) => {\n468\t if (ch.channel.startsWith('Paid')) {\n469\t const hairData = paidHairMap.get(ch.channel);\n470\t if (hairData) {\n471\t channelData[idx] = {\n472\t channel: ch.channel + ' (Hair)',\n473\t sessions: hairData.sessions,\n474\t conversions: hairData.conversions,\n475\t sessionsPrev: hairData.sessionsPrev,\n476\t conversionsPrev: hairData.conversionsPrev,\n477\t };\n478\t } else {\n479\t // No hair data found, set to 0\n480\t channelData[idx] = {\n481\t channel: ch.channel + ' (Hair)',\n482\t sessions: 0,\n483\t conversions: 0,\n484\t sessionsPrev: 0,\n485\t conversionsPrev: 0,\n486\t };\n487\t }\n488\t }\n489\t });\n490\t\n491\t // =========================================\n492\t // 1c. ANALYTICS: Monthly Sessions by Channel (Last 12 months)\n493\t // =========================================\n494\t // Calculate 12 months ago from the end of the selected month\n495\t const twelveMonthsAgo = new Date(year, month - 13, 1); // 12 months before\n496\t const yearlyStartDate = `${twelveMonthsAgo.getFullYear()}-${String(twelveMonthsAgo.getMonth() + 1).padStart(2, '0')}-01`;\n497\t \n498\t const monthlyChannelResponse = await analytics.properties.runReport({\n499\t property: `properties/${PROPERTY_ID}`,\n500\t requestBody: {\n501\t dateRanges: [{ startDate: yearlyStartDate, endDate }],\n502\t dimensions: [\n503\t { name: 'yearMonth' },\n504\t { name: 'sessionDefaultChannelGroup' },\n505\t ],\n506\t metrics: [{ name: 'sessions' }],\n507\t orderBys: [{ dimension: { dimensionName: 'yearMonth' } }],\n508\t },\n509\t });\n510\t\n511\t // Process monthly channel data\n512\t const monthlyChannelMap = new Map>();\n513\t const allChannels = new Set();\n514\t \n515\t (monthlyChannelResponse.data.rows || []).forEach((row) => {\n516\t const yearMonth = row.dimensionValues?.[0]?.value || '';\n517\t const channel = normalizeChannelName(row.dimensionValues?.[1]?.value || 'Unknown');\n518\t const sessions = parseInt(row.metricValues?.[0]?.value || '0');\n519\t \n520\t allChannels.add(channel);\n521\t \n522\t if (!monthlyChannelMap.has(yearMonth)) {\n523\t monthlyChannelMap.set(yearMonth, new Map());\n524\t }\n525\t monthlyChannelMap.get(yearMonth)!.set(channel, sessions);\n526\t });\n527\t\n528\t // Convert to array format for charts\n529\t const monthlyChannelData = Array.from(monthlyChannelMap.entries())\n530\t .map(([yearMonth, channels]) => {\n531\t const formattedMonth = `${yearMonth.substring(0, 4)}-${yearMonth.substring(4, 6)}`;\n532\t const monthData: Record = { month: formattedMonth };\n533\t \n534\t // Add all channels (with 0 for missing ones)\n535\t allChannels.forEach(channel => {\n536\t monthData[channel] = channels.get(channel) || 0;\n537\t });\n538\t \n539\t return monthData;\n540\t })\n541\t .sort((a, b) => a.month.localeCompare(b.month));\n542\t\n543\t // =========================================\n544\t // 2. ANALYTICS: Daily Sessions\n545\t // =========================================\n546\t const dailyAnalyticsResponse = await analytics.properties.runReport({\n547\t property: `properties/${PROPERTY_ID}`,\n548\t requestBody: {\n549\t dateRanges: [{ startDate, endDate }],\n550\t dimensions: [{ name: 'date' }],\n551\t metrics: [\n552\t { name: 'sessions' },\n553\t { name: 'conversions' },\n554\t ],\n555\t orderBys: [{ dimension: { dimensionName: 'date' } }],\n556\t },\n557\t });\n558\t\n559\t const dailySessions = (dailyAnalyticsResponse.data.rows || []).map((row) => {\n560\t const dateStr = row.dimensionValues?.[0]?.value || '';\n561\t const formattedDate = `${dateStr.substring(0, 4)}-${dateStr.substring(4, 6)}-${dateStr.substring(6, 8)}`;\n562\t return {\n563\t date: formattedDate,\n564\t sessions: parseInt(row.metricValues?.[0]?.value || '0'),\n565\t conversions: parseInt(row.metricValues?.[1]?.value || '0'),\n566\t };\n567\t });\n568\t\n569\t // =========================================\n570\t // 3. SEARCH CONSOLE: Total Web Search\n571\t // =========================================\n572\t const searchTotalResponse = await searchConsole.searchanalytics.query({\n573\t siteUrl: SITE_URL,\n574\t requestBody: {\n575\t startDate,\n576\t endDate,\n577\t type: 'web',\n578\t },\n579\t });\n580\t\n581\t const searchPrevResponse = await searchConsole.searchanalytics.query({\n582\t siteUrl: SITE_URL,\n583\t requestBody: {\n584\t startDate: prevStartDate,\n585\t endDate: prevEndDate,\n586\t type: 'web',\n587\t },\n588\t });\n589\t\n590\t const searchTotal = searchTotalResponse.data.rows?.[0] || {};\n591\t const searchPrev = searchPrevResponse.data.rows?.[0] || {};\n592\t\n593\t // =========================================\n594\t // 4. SEARCH CONSOLE: By Country\n595\t // =========================================\n596\t const searchCountryResponse = await searchConsole.searchanalytics.query({\n597\t siteUrl: SITE_URL,\n598\t requestBody: {\n599\t startDate,\n600\t endDate,\n601\t type: 'web',\n602\t dimensions: ['country'],\n603\t rowLimit: 20,\n604\t },\n605\t });\n606\t\n607\t const countryData = (searchCountryResponse.data.rows || []).map((row) => ({\n608\t countryCode: row.keys?.[0] || 'XX',\n609\t clicks: row.clicks || 0,\n610\t impressions: row.impressions || 0,\n611\t ctr: (row.ctr || 0) * 100,\n612\t position: row.position || 0,\n613\t }));\n614\t\n615\t // =========================================\n616\t // 5. SEARCH CONSOLE: Daily Clicks\n617\t // =========================================\n618\t const searchDailyResponse = await searchConsole.searchanalytics.query({\n619\t siteUrl: SITE_URL,\n620\t requestBody: {\n621\t startDate,\n622\t endDate,\n623\t type: 'web',\n624\t dimensions: ['date'],\n625\t },\n626\t });\n627\t\n628\t const dailyClicks = (searchDailyResponse.data.rows || []).map((row) => ({\n629\t date: row.keys?.[0] || '',\n630\t clicks: row.clicks || 0,\n631\t impressions: row.impressions || 0,\n632\t }));\n633\t\n634\t // =========================================\n635\t // 5b. ZOHO CONVERSIONS (from database) - Fetch early for use in markets\n636\t // =========================================\n637\t const currentMonthDate = new Date(Date.UTC(year, month - 1, 1));\n638\t const prevMonthDate = new Date(Date.UTC(prevYear, prevMonth - 1, 1));\n639\t\n640\t // Fetch Zoho leads for current and previous period\n641\t const zohoCurrentLeads = await prisma.monthlyLead.findMany({\n642\t where: { month: currentMonthDate },\n643\t });\n644\t\n645\t const zohoPrevLeads = await prisma.monthlyLead.findMany({\n646\t where: { month: prevMonthDate },\n647\t });\n648\t\n649\t // Build Zoho data maps\n650\t const zohoCurrentMap = new Map();\n651\t const zohoPrevMap = new Map();\n652\t\n653\t zohoCurrentLeads.forEach(lead => {\n654\t zohoCurrentMap.set(lead.marketCode, lead.leads);\n655\t });\n656\t\n657\t zohoPrevLeads.forEach(lead => {\n658\t zohoPrevMap.set(lead.marketCode, lead.leads);\n659\t });\n660\t\n661\t // =========================================\n662\t // 6. PRIMARY MARKETS: Analytics + Search Console by URL Path (or Country for US)\n663\t // =========================================\n664\t const PRIMARY_MARKET_CODES = ['en', 'it', 'fr', 'tr', 'london', 'sr', 'hr', 'us'];\n665\t \n666\t const marketData = await Promise.all(\n667\t Object.entries(MARKET_PATHS).map(async ([code, info]) => {\n668\t try {\n669\t // Build GSC filter: either by country (US) or by page URL path\n670\t const gscFilters = info.filterByCountry\n671\t ? [{ dimension: 'country', operator: 'equals' as const, expression: info.filterByCountry }]\n672\t : [{ dimension: 'page', operator: 'contains' as const, expression: `emrahcinik.com${info.path}` }];\n673\t\n674\t // Search Console data\n675\t const currentResponse = await searchConsole.searchanalytics.query({\n676\t siteUrl: SITE_URL,\n677\t requestBody: {\n678\t startDate,\n679\t endDate,\n680\t type: 'web',\n681\t dimensionFilterGroups: [{ filters: gscFilters }],\n682\t },\n683\t });\n684\t\n685\t const prevResponse = await searchConsole.searchanalytics.query({\n686\t siteUrl: SITE_URL,\n687\t requestBody: {\n688\t startDate: prevStartDate,\n689\t endDate: prevEndDate,\n690\t type: 'web',\n691\t dimensionFilterGroups: [{ filters: gscFilters }],\n692\t },\n693\t });\n694\t\n695\t // Build GA4 filter: either by country (US) or by page path\n696\t const ga4FilterExpressions: any[] = [\n697\t {\n698\t filter: {\n699\t fieldName: 'sessionDefaultChannelGroup',\n700\t stringFilter: {\n701\t value: 'Organic Search',\n702\t },\n703\t },\n704\t },\n705\t ];\n706\t\n707\t if (info.ga4Country) {\n708\t // US market: filter by country instead of page path\n709\t ga4FilterExpressions.push({\n710\t filter: {\n711\t fieldName: 'countryId',\n712\t stringFilter: {\n713\t value: info.ga4Country,\n714\t },\n715\t },\n716\t });\n717\t } else {\n718\t // All other markets: filter by page path\n719\t ga4FilterExpressions.push({\n720\t filter: {\n721\t fieldName: 'pagePath',\n722\t stringFilter: {\n723\t matchType: 'BEGINS_WITH',\n724\t value: info.path,\n725\t },\n726\t },\n727\t });\n728\t }\n729\t\n730\t // Analytics data (ORGANIC sessions & conversions) - current + previous\n731\t const analyticsResponse = await analytics.properties.runReport({\n732\t property: `properties/${PROPERTY_ID}`,\n733\t requestBody: {\n734\t dateRanges: [\n735\t { startDate, endDate, name: 'current' },\n736\t { startDate: prevStartDate, endDate: prevEndDate, name: 'previous' },\n737\t ],\n738\t metrics: [{ name: 'sessions' }, { name: 'conversions' }],\n739\t dimensionFilter: {\n740\t andGroup: {\n741\t expressions: ga4FilterExpressions,\n742\t },\n743\t },\n744\t },\n745\t });\n746\t\n747\t const current = currentResponse.data.rows?.[0] || {};\n748\t const prev = prevResponse.data.rows?.[0] || {};\n749\t \n750\t // Parse Analytics data for both periods\n751\t let sessions = 0, conversions = 0, sessionsPrev = 0, conversionsPrev = 0;\n752\t (analyticsResponse.data.rows || []).forEach(row => {\n753\t const dateRange = row.dimensionValues?.[0]?.value || 'date_range_0';\n754\t const sess = parseInt(row.metricValues?.[0]?.value || '0');\n755\t const conv = parseInt(row.metricValues?.[1]?.value || '0');\n756\t \n757\t if (dateRange === 'date_range_0' || dateRange === 'current') {\n758\t sessions = sess;\n759\t conversions = conv;\n760\t } else {\n761\t sessionsPrev = sess;\n762\t conversionsPrev = conv;\n763\t }\n764\t });\n765\t\n766\t const clicks = current.clicks || 0;\n767\t const clicksPrev = prev.clicks || 0;\n768\t const clicksChange = clicksPrev > 0 ? ((clicks - clicksPrev) / clicksPrev) * 100 : 0;\n769\t const sessionsChange = sessionsPrev > 0 ? ((sessions - sessionsPrev) / sessionsPrev) * 100 : 0;\n770\t const conversionsChange = conversionsPrev > 0 ? ((conversions - conversionsPrev) / conversionsPrev) * 100 : 0;\n771\t\n772\t return {\n773\t code,\n774\t name: info.name,\n775\t flag: info.flag,\n776\t path: info.path,\n777\t clicks,\n778\t clicksPrev,\n779\t clicksChange,\n780\t impressions: current.impressions || 0,\n781\t position: current.position || 0,\n782\t ctr: (current.ctr || 0) * 100,\n783\t sessions,\n784\t sessionsPrev,\n785\t sessionsChange,\n786\t conversions,\n787\t conversionsPrev,\n788\t conversionsChange,\n789\t conversionRate: sessions > 0 ? (conversions / sessions) * 100 : 0,\n790\t isPrimary: PRIMARY_MARKET_CODES.includes(code),\n791\t };\n792\t } catch (err) {\n793\t return {\n794\t code,\n795\t name: info.name,\n796\t flag: info.flag,\n797\t path: info.path,\n798\t clicks: 0,\n799\t clicksPrev: 0,\n800\t clicksChange: 0,\n801\t impressions: 0,\n802\t position: 0,\n803\t ctr: 0,\n804\t sessions: 0,\n805\t sessionsPrev: 0,\n806\t sessionsChange: 0,\n807\t conversions: 0,\n808\t conversionsPrev: 0,\n809\t conversionsChange: 0,\n810\t conversionRate: 0,\n811\t isPrimary: PRIMARY_MARKET_CODES.includes(code),\n812\t };\n813\t }\n814\t })\n815\t );\n816\t\n817\t // Split into primary and secondary markets (both use URL paths)\n818\t // Markets with Zoho data: fr, en, it, london\n819\t const ZOHO_MARKET_CODES = ['fr', 'en', 'it', 'london'];\n820\t \n821\t const primaryMarkets = marketData\n822\t .filter(m => m.isPrimary && m.sessions > 0)\n823\t .sort((a, b) => b.sessions - a.sessions)\n824\t .map(m => {\n825\t const hasZohoData = ZOHO_MARKET_CODES.includes(m.code);\n826\t const zohoLeads = zohoCurrentMap.get(m.code) || 0;\n827\t const zohoLeadsPrev = zohoPrevMap.get(m.code) || 0;\n828\t const zohoLeadsChange = zohoLeadsPrev > 0 ? ((zohoLeads - zohoLeadsPrev) / zohoLeadsPrev) * 100 : 0;\n829\t \n830\t return {\n831\t ...m,\n832\t // For markets with Zoho data, use Zoho conversions; otherwise use Analytics\n833\t conversions: hasZohoData ? zohoLeads : m.conversions,\n834\t conversionsPrev: hasZohoData ? zohoLeadsPrev : m.conversionsPrev,\n835\t conversionsChange: hasZohoData ? zohoLeadsChange : m.conversionsChange,\n836\t conversionRate: hasZohoData \n837\t ? (m.sessions > 0 ? (zohoLeads / m.sessions) * 100 : 0)\n838\t : m.conversionRate,\n839\t dataSource: hasZohoData ? 'zoho' : 'analytics',\n840\t };\n841\t });\n842\t \n843\t const secondaryMarkets = marketData\n844\t .filter(m => !m.isPrimary && m.sessions > 0)\n845\t .sort((a, b) => b.sessions - a.sessions);\n846\t\n847\t // Secondary markets: use Analytics data (no Zoho for these)\n848\t // Format secondaryMarkets to match the expected interface\n849\t const combinedOtherMarkets = secondaryMarkets.map(m => ({\n850\t code: m.code.toUpperCase(),\n851\t name: m.name,\n852\t flag: m.flag,\n853\t path: m.path,\n854\t sessions: m.sessions,\n855\t sessionsPrev: m.sessionsPrev,\n856\t sessionsChange: m.sessionsChange,\n857\t conversions: m.conversions,\n858\t conversionsPrev: m.conversionsPrev,\n859\t conversionsChange: m.conversionsChange,\n860\t conversionRate: m.conversionRate,\n861\t dataSource: 'analytics' as const, // Always Analytics (estimated)\n862\t }));\n863\t\n864\t // Keep activeMarkets for backward compatibility\n865\t const activeMarkets = marketData.filter(m => m.clicks > 0).sort((a, b) => b.clicks - a.clicks);\n866\t\n867\t // =========================================\n868\t // 6c. ANALYTICS: Sessions & Conversions by Country (for pie charts)\n869\t // =========================================\n870\t const countryAnalyticsResponse = await analytics.properties.runReport({\n871\t property: `properties/${PROPERTY_ID}`,\n872\t requestBody: {\n873\t dateRanges: [\n874\t { startDate, endDate, name: 'current' },\n875\t { startDate: prevStartDate, endDate: prevEndDate, name: 'previous' },\n876\t ],\n877\t dimensions: [{ name: 'country' }],\n878\t metrics: [{ name: 'sessions' }, { name: 'conversions' }],\n879\t orderBys: [{ metric: { metricName: 'sessions' }, desc: true }],\n880\t limit: '15',\n881\t },\n882\t });\n883\t\n884\t const countryDataMap = new Map();\n888\t\n889\t (countryAnalyticsResponse.data.rows || []).forEach(row => {\n890\t const country = row.dimensionValues?.[0]?.value || 'Unknown';\n891\t const dateRange = row.dimensionValues?.[1]?.value || 'date_range_0';\n892\t const sessions = parseInt(row.metricValues?.[0]?.value || '0');\n893\t const conversions = parseInt(row.metricValues?.[1]?.value || '0');\n894\t\n895\t if (!countryDataMap.has(country)) {\n896\t countryDataMap.set(country, { sessions: 0, conversions: 0, sessionsPrev: 0, conversionsPrev: 0 });\n897\t }\n898\t const data = countryDataMap.get(country)!;\n899\t if (dateRange === 'date_range_0' || dateRange === 'current') {\n900\t data.sessions = sessions;\n901\t data.conversions = conversions;\n902\t } else {\n903\t data.sessionsPrev = sessions;\n904\t data.conversionsPrev = conversions;\n905\t }\n906\t });\n907\t\n908\t const countriesAnalytics = Array.from(countryDataMap.entries())\n909\t .map(([name, data]) => ({\n910\t name,\n911\t sessions: data.sessions,\n912\t sessionsPrev: data.sessionsPrev,\n913\t sessionsChange: data.sessionsPrev > 0 ? ((data.sessions - data.sessionsPrev) / data.sessionsPrev) * 100 : 0,\n914\t conversions: data.conversions,\n915\t conversionsPrev: data.conversionsPrev,\n916\t conversionsChange: data.conversionsPrev > 0 ? ((data.conversions - data.conversionsPrev) / data.conversionsPrev) * 100 : 0,\n917\t }))\n918\t .sort((a, b) => b.sessions - a.sessions);\n919\t\n920\t // =========================================\n921\t // 7. GOOGLE DISCOVER\n922\t // =========================================\n923\t let discoverData = { clicks: 0, impressions: 0, ctr: 0, clicksPrev: 0, clicksChange: 0 };\n924\t try {\n925\t const discoverResponse = await searchConsole.searchanalytics.query({\n926\t siteUrl: SITE_URL,\n927\t requestBody: {\n928\t startDate,\n929\t endDate,\n930\t type: 'discover',\n931\t },\n932\t });\n933\t\n934\t const discoverPrevResponse = await searchConsole.searchanalytics.query({\n935\t siteUrl: SITE_URL,\n936\t requestBody: {\n937\t startDate: prevStartDate,\n938\t endDate: prevEndDate,\n939\t type: 'discover',\n940\t },\n941\t });\n942\t\n943\t const discoverCurrent = discoverResponse.data.rows?.[0] || {};\n944\t const discoverPrev = discoverPrevResponse.data.rows?.[0] || {};\n945\t\n946\t const discoverClicks = discoverCurrent.clicks || 0;\n947\t const discoverClicksPrev = discoverPrev.clicks || 0;\n948\t const discoverClicksChange = discoverClicksPrev > 0 \n949\t ? ((discoverClicks - discoverClicksPrev) / discoverClicksPrev) * 100 \n950\t : 0;\n951\t\n952\t discoverData = {\n953\t clicks: discoverClicks,\n954\t impressions: discoverCurrent.impressions || 0,\n955\t ctr: (discoverCurrent.ctr || 0) * 100,\n956\t clicksPrev: discoverClicksPrev,\n957\t clicksChange: discoverClicksChange,\n958\t };\n959\t } catch (err) {\n960\t // Discover data may not be available\n961\t }\n962\t\n963\t // =========================================\n964\t // 8. ZOHO TOTALS (using maps built in section 5b)\n965\t // =========================================\n966\t // SEO Total from Zoho\n967\t // Handle both naming conventions: 'seo_total' (2025+) and calculate sum for older data\n968\t const zohoSeoTotal = zohoCurrentMap.get('seo_total') || (\n969\t (zohoCurrentMap.get('en') || 0) + (zohoCurrentMap.get('fr') || 0) + \n970\t (zohoCurrentMap.get('it') || 0) + (zohoCurrentMap.get('london') || 0) + \n971\t (zohoCurrentMap.get('other') || zohoCurrentMap.get('seo_other') || 0)\n972\t );\n973\t \n974\t // For Y-1 (2024 and earlier), 'seo_total' might not exist\n975\t // We either get it directly OR calculate from individual markets + 'other'\n976\t let zohoSeoPrevTotal = zohoPrevMap.get('seo_total') || 0;\n977\t if (zohoSeoPrevTotal === 0) {\n978\t // Fallback: calculate from individual SEO markets for older data\n979\t const prevEn = zohoPrevMap.get('en') || 0;\n980\t const prevFr = zohoPrevMap.get('fr') || 0;\n981\t const prevIt = zohoPrevMap.get('it') || 0;\n982\t const prevLondon = zohoPrevMap.get('london') || 0;\n983\t const prevOther = zohoPrevMap.get('other') || zohoPrevMap.get('seo_other') || 0;\n984\t zohoSeoPrevTotal = prevEn + prevFr + prevIt + prevLondon + prevOther;\n985\t }\n986\t \n987\t const zohoSeoChange = zohoSeoPrevTotal > 0 \n988\t ? ((zohoSeoTotal - zohoSeoPrevTotal) / zohoSeoPrevTotal) * 100 \n989\t : 0;\n990\t\n991\t // Zoho data by market (SEO only: fr, en, it, london, seo_other)\n992\t const zohoMarketCodes = ['fr', 'en', 'it', 'london', 'seo_other'];\n993\t const zohoByMarket = zohoMarketCodes.map(code => {\n994\t const current = zohoCurrentMap.get(code) || 0;\n995\t // For 'seo_other', also check 'other' (legacy naming for Y-1)\n996\t const prev = code === 'seo_other' \n997\t ? (zohoPrevMap.get('seo_other') || zohoPrevMap.get('other') || 0)\n998\t : (zohoPrevMap.get(code) || 0);\n999\t const change = prev > 0 ? ((current - prev) / prev) * 100 : 0;\n1000\t return { marketCode: code, leads: current, leadsPrev: prev, leadsChange: change };\n1001\t });\n1002\t\n1003\t // =========================================\n1004\t // Calculate Totals\n1005\t // =========================================\n1006\t const totalSessions = channelData.reduce((sum, c) => sum + c.sessions, 0);\n1007\t const totalSessionsPrev = channelData.reduce((sum, c) => sum + c.sessionsPrev, 0);\n1008\t const totalConversions = channelData.reduce((sum, c) => sum + c.conversions, 0);\n1009\t const totalConversionsPrev = channelData.reduce((sum, c) => sum + c.conversionsPrev, 0);\n1010\t\n1011\t const sessionsChange = totalSessionsPrev > 0 \n1012\t ? ((totalSessions - totalSessionsPrev) / totalSessionsPrev) * 100 \n1013\t : 0;\n1014\t const conversionsChange = totalConversionsPrev > 0 \n1015\t ? ((totalConversions - totalConversionsPrev) / totalConversionsPrev) * 100 \n1016\t : 0;\n1017\t\n1018\t // SEO (Organic Search) specific\n1019\t const organicData = channelData.find(c => c.channel === 'Organic Search') || { sessions: 0, conversions: 0, sessionsPrev: 0, conversionsPrev: 0 };\n1020\t const organicSessionsChange = organicData.sessionsPrev > 0 \n1021\t ? ((organicData.sessions - organicData.sessionsPrev) / organicData.sessionsPrev) * 100 \n1022\t : 0;\n1023\t const organicConversionsChange = organicData.conversionsPrev > 0 \n1024\t ? ((organicData.conversions - organicData.conversionsPrev) / organicData.conversionsPrev) * 100 \n1025\t : 0;\n1026\t\n1027\t // Search Console totals\n1028\t const totalClicks = searchTotal.clicks || 0;\n1029\t const totalClicksPrev = searchPrev.clicks || 0;\n1030\t const clicksChange = totalClicksPrev > 0 \n1031\t ? ((totalClicks - totalClicksPrev) / totalClicksPrev) * 100 \n1032\t : 0;\n1033\t\n1034\t // Build Zoho data object (now that we have organicData)\n1035\t const zohoData = {\n1036\t seoTotal: zohoSeoTotal,\n1037\t seoPrevTotal: zohoSeoPrevTotal,\n1038\t seoChange: zohoSeoChange,\n1039\t byMarket: zohoByMarket,\n1040\t conversionRate: organicData.sessions > 0 ? (zohoSeoTotal / organicData.sessions) * 100 : 0,\n1041\t };\n1042\t\n1043\t // #region agent log\n1044\t debugLog('H1', 'Dashboard API Response Data', {\n1045\t hasAnalyticsDaily: !!dailySessions && dailySessions.length > 0,\n1046\t analyticsDaily_count: dailySessions?.length || 0,\n1047\t hasSearchConsoleDaily: !!dailyClicks && dailyClicks.length > 0,\n1048\t searchConsoleDaily_count: dailyClicks?.length || 0,\n1049\t hasCountriesAnalytics: !!countriesAnalytics && countriesAnalytics.length > 0,\n1050\t hasMonthlyByChannel: !!monthlyChannelData && monthlyChannelData.length > 0,\n1051\t hasCountryData: !!countryData && countryData.length > 0,\n1052\t totalSessions,\n1053\t totalClicks,\n1054\t });\n1055\t // #endregion\n1056\t\n1057\t const fullResponse = {\n1058\t period: {\n1059\t year,\n1060\t month,\n1061\t startDate,\n1062\t endDate,\n1063\t label: new Date(year, month - 1, 1).toLocaleDateString('en-US', { month: 'long', year: 'numeric' }),\n1064\t },\n1065\t comparison: {\n1066\t mode: compareMode,\n1067\t prevYear,\n1068\t prevMonth,\n1069\t prevStartDate,\n1070\t prevEndDate,\n1071\t prevLabel: new Date(prevYear, prevMonth - 1, 1).toLocaleDateString('en-US', { month: 'long', year: 'numeric' }),\n1072\t },\n1073\t analytics: {\n1074\t totalSessions,\n1075\t totalConversions,\n1076\t sessionsChange,\n1077\t conversionsChange,\n1078\t conversionRate: totalSessions > 0 ? (totalConversions / totalSessions) * 100 : 0,\n1079\t organic: {\n1080\t sessions: organicData.sessions,\n1081\t conversions: organicData.conversions,\n1082\t sessionsChange: organicSessionsChange,\n1083\t conversionsChange: organicConversionsChange,\n1084\t },\n1085\t channels: channelData.map(c => ({\n1086\t channel: c.channel,\n1087\t sessions: c.sessions,\n1088\t conversions: c.conversions,\n1089\t sessionsPrev: c.sessionsPrev,\n1090\t conversionsPrev: c.conversionsPrev,\n1091\t sessionsChange: c.sessionsPrev > 0 ? ((c.sessions - c.sessionsPrev) / c.sessionsPrev) * 100 : 0,\n1092\t conversionsChange: c.conversionsPrev > 0 ? ((c.conversions - c.conversionsPrev) / c.conversionsPrev) * 100 : 0,\n1093\t })),\n1094\t daily: dailySessions,\n1095\t countriesAnalytics,\n1096\t monthlyByChannel: monthlyChannelData,\n1097\t },\n1098\t searchConsole: {\n1099\t totalClicks,\n1100\t totalImpressions: searchTotal.impressions || 0,\n1101\t avgPosition: searchTotal.position || 0,\n1102\t ctr: (searchTotal.ctr || 0) * 100,\n1103\t clicksChange,\n1104\t countries: countryData,\n1105\t daily: dailyClicks,\n1106\t },\n1107\t markets: activeMarkets,\n1108\t primaryMarkets,\n1109\t otherMarkets: combinedOtherMarkets,\n1110\t discover: discoverData,\n1111\t zoho: zohoData,\n1112\t };\n1113\t cache.set(memoryCacheKey, fullResponse, 300); // 5 min\n1114\t return NextResponse.json(fullResponse);\n1115\t } catch (error) {\n1116\t console.error('Error fetching dashboard data:', error);\n1117\t return NextResponse.json(\n1118\t { error: error instanceof Error ? error.message : 'Failed to fetch dashboard data' },\n1119\t { status: 500 }\n1120\t );\n1121\t }\n1122\t}\n1123\t\n1124\t"}]},"uuid":"915638d7-e71d-4672-9369-6f3cb9d7944c","timestamp":"2026-06-07T16:48:24.820Z","sourceToolAssistantUUID":"380bb24e-1749-4740-8462-6577e9cafb51","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":"915638d7-e71d-4672-9369-6f3cb9d7944c","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011cPLv34Em6Se1ToZNqQBNo","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me look at other API endpoints to understand the data shapes for market, discover, LLM, and competitor data:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":19995,"cache_read_input_tokens":33296,"cache_creation":{"ephemeral_5m_input_tokens":19995,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEwz7tMzn88BmTx2pYQ","attributionAgent":"Explore","type":"assistant","uuid":"aab9ef6f-7434-4ddc-918e-30d6e80d8c29","timestamp":"2026-06-07T16:48:27.640Z","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":"aab9ef6f-7434-4ddc-918e-30d6e80d8c29","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011cPLv34Em6Se1ToZNqQBNo","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Xw9RNwZtDhfHkt4ZsWCRrp","name":"Read","input":{"file_path":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/market/[lang]/route.ts","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":19995,"cache_read_input_tokens":33296,"cache_creation":{"ephemeral_5m_input_tokens":19995,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEwz7tMzn88BmTx2pYQ","attributionAgent":"Explore","type":"assistant","uuid":"7ae55f4b-c57a-47a9-ae08-6051545087ab","timestamp":"2026-06-07T16:48:28.034Z","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":"7ae55f4b-c57a-47a9-ae08-6051545087ab","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Xw9RNwZtDhfHkt4ZsWCRrp","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));\n101\t}\n102\t\n103\t// Build GA4 filter for a market\n104\tfunction buildAnalyticsFilter(marketCode: string, path: string, ga4Country?: string): any {\n105\t // For TR, HR, SR, US markets: filter by countryId (ISO 3166-1 alpha-2 code)\n106\t if (ga4Country) {\n107\t return {\n108\t andGroup: {\n109\t expressions: [\n110\t {\n111\t filter: {\n112\t fieldName: 'sessionDefaultChannelGroup',\n113\t stringFilter: {\n114\t value: 'Organic Search',\n115\t },\n116\t },\n117\t },\n118\t {\n119\t filter: {\n120\t fieldName: 'countryId',\n121\t stringFilter: {\n122\t value: ga4Country,\n123\t },\n124\t },\n125\t },\n126\t ],\n127\t },\n128\t };\n129\t }\n130\t \n131\t if (marketCode === 'en') {\n132\t // For English: include all pages BUT exclude language subfolders\n133\t return {\n134\t andGroup: {\n135\t expressions: [\n136\t {\n137\t filter: {\n138\t fieldName: 'sessionDefaultChannelGroup',\n139\t stringFilter: {\n140\t value: 'Organic Search',\n141\t },\n142\t },\n143\t },\n144\t // Exclude each language subfolder\n145\t ...LANGUAGE_SUBFOLDERS.map(langPath => ({\n146\t notExpression: {\n147\t filter: {\n148\t fieldName: 'pagePath',\n149\t stringFilter: {\n150\t matchType: 'BEGINS_WITH',\n151\t value: langPath,\n152\t },\n153\t },\n154\t },\n155\t })),\n156\t ],\n157\t },\n158\t };\n159\t } else {\n160\t // For other markets: simple BEGINS_WITH filter\n161\t return {\n162\t andGroup: {\n163\t expressions: [\n164\t {\n165\t filter: {\n166\t fieldName: 'pagePath',\n167\t stringFilter: {\n168\t matchType: 'BEGINS_WITH',\n169\t value: path,\n170\t },\n171\t },\n172\t },\n173\t {\n174\t filter: {\n175\t fieldName: 'sessionDefaultChannelGroup',\n176\t stringFilter: {\n177\t value: 'Organic Search',\n178\t },\n179\t },\n180\t },\n181\t ],\n182\t },\n183\t };\n184\t }\n185\t}\n186\t\n187\t// Brand keywords patterns (including common typos)\n188\tconst BRAND_PATTERNS = [\n189\t 'cinik',\n190\t 'cinic', // common typo\n191\t 'cnik', // typo\n192\t 'cynik', // typo\n193\t 'ciniki', // typo\n194\t 'dr cinik',\n195\t 'dr. cinik',\n196\t 'doctor cinik',\n197\t 'emrah cinik',\n198\t 'emrahcinik',\n199\t 'clinique cinik',\n200\t 'clinica cinik',"}]},"uuid":"ac4be7ee-ac57-497c-abb3-7258e45d68d3","timestamp":"2026-06-07T16:48:28.039Z","sourceToolAssistantUUID":"7ae55f4b-c57a-47a9-ae08-6051545087ab","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":"ac4be7ee-ac57-497c-abb3-7258e45d68d3","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011cPLv34Em6Se1ToZNqQBNo","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MCrJ8xiKAgyDKXQGrHonig","name":"Read","input":{"file_path":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/discover/route.ts","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":19995,"cache_read_input_tokens":33296,"cache_creation":{"ephemeral_5m_input_tokens":19995,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEwz7tMzn88BmTx2pYQ","attributionAgent":"Explore","type":"assistant","uuid":"e920cde1-422c-4185-a2f0-c685bbbad207","timestamp":"2026-06-07T16:48:28.245Z","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":"e920cde1-422c-4185-a2f0-c685bbbad207","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MCrJ8xiKAgyDKXQGrHonig","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 } from '@/lib/cache';\n7\timport { resolveCountry } from '@/lib/utils';\n8\t\n9\t// Month names for slug\n10\tconst MONTH_NAMES_SLUG = ['january', 'february', 'march', 'april', 'may', 'june', 'july', 'august', 'september', 'october', 'november', 'december'];\n11\t\n12\t// GA4 Property ID for emrahcinik.com\n13\tconst PROPERTY_ID = '305021969';\n14\tconst SITE_URL = 'sc-domain:emrahcinik.com';\n15\t\n16\t/**\n17\t * GET /api/discover\n18\t * Fetch Google Discover data with Analytics cross-referencing\n19\t */\n20\texport async function GET(request: NextRequest) {\n21\t try {\n22\t const session = await getServerSession(authOptions);\n23\t \n24\t if (!session?.user?.id) {\n25\t return NextResponse.json({ error: 'Unauthorized' }, { status: 401 });\n26\t }\n27\t\n28\t const year = parseInt(request.nextUrl.searchParams.get('year') || '2025');\n29\t const month = parseInt(request.nextUrl.searchParams.get('month') || '12');\n30\t const compareMode = request.nextUrl.searchParams.get('compareMode') || 'm-1';\n31\t const forceRefresh = request.nextUrl.searchParams.get('forceRefresh') === 'true';\n32\t\n33\t // =========================================\n34\t // INSTANT PATH: In-memory cache\n35\t // =========================================\n36\t const memoryCacheKey = `discover:${year}:${month}:${compareMode}`;\n37\t if (!forceRefresh) {\n38\t const cached = cache.get(memoryCacheKey);\n39\t if (cached) {\n40\t console.log(`[Discover] ⚡ MEMORY CACHE HIT for ${year}-${month} (${compareMode})`);\n41\t return NextResponse.json(cached);\n42\t }\n43\t }\n44\t\n45\t // =========================================\n46\t // FAST PATH: Try to use pre-generated report data\n47\t // =========================================\n48\t if (!forceRefresh) {\n49\t const slug = `${MONTH_NAMES_SLUG[month - 1]}-${year}`;\n50\t const report = await prisma.monthlyReport.findUnique({\n51\t where: { slug },\n52\t select: { discoverData: true },\n53\t });\n54\t\n55\t if (report?.discoverData) {\n56\t const discoverData = report.discoverData as Record;\n57\t const modeKey = compareMode === 'y-1' || compareMode === 'n-1' ? 'y-1' : 'm-1';\n58\t \n59\t if (discoverData[modeKey]) {\n60\t console.log(`[Discover] Using cached report data for ${slug} (${modeKey})`);\n61\t cache.set(memoryCacheKey, discoverData[modeKey], 300); // 5 min\n62\t return NextResponse.json(discoverData[modeKey]);\n63\t }\n64\t }\n65\t \n66\t console.log(`[Discover] No cached data, fetching fresh...`);\n67\t }\n68\t \n69\t const analytics = await getAnalyticsClient(session.user.id);\n70\t const searchConsole = await getSearchConsoleClient(session.user.id);\n71\t \n72\t const { startDate, endDate } = getMonthBounds(year, month);\n73\t \n74\t // Previous period bounds\n75\t let prevMonth: number;\n76\t let prevYear: number;\n77\t \n78\t if (compareMode === 'n-1' || compareMode === 'y-1') {\n79\t prevMonth = month;\n80\t prevYear = year - 1;\n81\t } else {\n82\t prevMonth = month === 1 ? 12 : month - 1;\n83\t prevYear = month === 1 ? year - 1 : year;\n84\t }\n85\t \n86\t const { startDate: prevStartDate, endDate: prevEndDate } = getMonthBounds(prevYear, prevMonth);\n87\t\n88\t // =========================================\n89\t // 1. DISCOVER: Total metrics (current + previous)\n90\t // =========================================\n91\t const [discoverCurrentResponse, discoverPrevResponse] = await Promise.all([\n92\t searchConsole.searchanalytics.query({\n93\t siteUrl: SITE_URL,\n94\t requestBody: {\n95\t startDate,\n96\t endDate,\n97\t type: 'discover',\n98\t },\n99\t }),\n100\t searchConsole.searchanalytics.query({\n101\t siteUrl: SITE_URL,\n102\t requestBody: {\n103\t startDate: prevStartDate,\n104\t endDate: prevEndDate,\n105\t type: 'discover',\n106\t },\n107\t }),\n108\t ]);\n109\t\n110\t const discoverCurrent = discoverCurrentResponse.data.rows?.[0] || {};\n111\t const discoverPrev = discoverPrevResponse.data.rows?.[0] || {};\n112\t\n113\t const totalClicks = discoverCurrent.clicks || 0;\n114\t const totalImpressions = discoverCurrent.impressions || 0;\n115\t const totalCtr = (discoverCurrent.ctr || 0) * 100;\n116\t const clicksPrev = discoverPrev.clicks || 0;\n117\t const impressionsPrev = discoverPrev.impressions || 0;\n118\t\n119\t // =========================================\n120\t // 2. DISCOVER: Top pages\n121\t // =========================================\n122\t const [discoverPagesResponse, discoverPagesPrevResponse] = await Promise.all([\n123\t searchConsole.searchanalytics.query({\n124\t siteUrl: SITE_URL,\n125\t requestBody: {\n126\t startDate,\n127\t endDate,\n128\t type: 'discover',\n129\t dimensions: ['page'],\n130\t rowLimit: 50,\n131\t },\n132\t }),\n133\t searchConsole.searchanalytics.query({\n134\t siteUrl: SITE_URL,\n135\t requestBody: {\n136\t startDate: prevStartDate,\n137\t endDate: prevEndDate,\n138\t type: 'discover',\n139\t dimensions: ['page'],\n140\t rowLimit: 50,\n141\t },\n142\t }),\n143\t ]);\n144\t\n145\t // Build prev map for comparison\n146\t const prevPagesMap = new Map();\n147\t (discoverPagesPrevResponse.data.rows || []).forEach(row => {\n148\t const page = row.keys?.[0] || '';\n149\t prevPagesMap.set(page, {\n150\t clicks: row.clicks || 0,"}]},"uuid":"172235b9-407b-4df8-aef6-e80cbd2cb1ed","timestamp":"2026-06-07T16:48:28.250Z","sourceToolAssistantUUID":"e920cde1-422c-4185-a2f0-c685bbbad207","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":"172235b9-407b-4df8-aef6-e80cbd2cb1ed","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011cPLv34Em6Se1ToZNqQBNo","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EARLnm45hCsTzXYyNVNuyL","name":"Read","input":{"file_path":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/llm/route.ts","limit":150},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":19995,"cache_read_input_tokens":33296,"output_tokens":297,"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":19995},"inference_geo":"not_available","iterations":[{"input_tokens":7,"output_tokens":297,"cache_read_input_tokens":33296,"cache_creation_input_tokens":19995,"cache_creation":{"ephemeral_5m_input_tokens":19995,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbpEwz7tMzn88BmTx2pYQ","attributionAgent":"Explore","type":"assistant","uuid":"b1d09418-cc13-41db-bfac-fa38b6384d0f","timestamp":"2026-06-07T16:48:28.520Z","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":"b1d09418-cc13-41db-bfac-fa38b6384d0f","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EARLnm45hCsTzXYyNVNuyL","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 } from '@/lib/google';\n5\timport { prisma } from '@/lib/prisma';\n6\timport { cache } from '@/lib/cache';\n7\t\n8\t// Month names for slug\n9\tconst MONTH_NAMES_SLUG = ['january', 'february', 'march', 'april', 'may', 'june', 'july', 'august', 'september', 'october', 'november', 'december'];\n10\t\n11\t// GA4 Property ID for emrahcinik.com\n12\tconst PROPERTY_ID = '305021969';\n13\t\n14\t// LLM source patterns to identify AI traffic\n15\t// Updated based on actual GA4 data exploration\n16\tconst LLM_SOURCES = [\n17\t { \n18\t id: 'chatgpt', \n19\t name: 'ChatGPT', \n20\t icon: '🤖',\n21\t color: '#10a37f',\n22\t patterns: ['chatgpt.com', 'chat.openai.com', 'openai.com']\n23\t },\n24\t { \n25\t id: 'perplexity', \n26\t name: 'Perplexity', \n27\t icon: '🔍',\n28\t color: '#20b2aa',\n29\t patterns: ['perplexity.ai', 'perplexity']\n30\t },\n31\t { \n32\t id: 'gemini', \n33\t name: 'Google Gemini', \n34\t icon: '✨',\n35\t color: '#4285f4',\n36\t patterns: ['gemini.google.com', 'bard.google.com']\n37\t },\n38\t { \n39\t id: 'copilot', \n40\t name: 'Microsoft Copilot', \n41\t icon: '🪟',\n42\t color: '#0078d4',\n43\t patterns: ['copilot.microsoft.com', 'copilot.cloud.microsoft', 'copilot.com']\n44\t },\n45\t { \n46\t id: 'claude', \n47\t name: 'Claude', \n48\t icon: '🧠',\n49\t color: '#cc785c',\n50\t patterns: ['claude.ai', 'anthropic.com']\n51\t },\n52\t { \n53\t id: 'deepseek', \n54\t name: 'DeepSeek', \n55\t icon: '🔷',\n56\t color: '#4f46e5',\n57\t patterns: ['deepseek.com', 'chat.deepseek']\n58\t },\n59\t { \n60\t id: 'mistral', \n61\t name: 'Mistral AI', \n62\t icon: '🌀',\n63\t color: '#ff7000',\n64\t patterns: ['mistral.ai', 'chat.mistral']\n65\t },\n66\t { \n67\t id: 'you', \n68\t name: 'You.com', \n69\t icon: '🔮',\n70\t color: '#6366f1',\n71\t patterns: ['you.com']\n72\t },\n73\t { \n74\t id: 'phind', \n75\t name: 'Phind', \n76\t icon: '💻',\n77\t color: '#8b5cf6',\n78\t patterns: ['phind.com']\n79\t },\n80\t {\n81\t id: 'meta',\n82\t name: 'Meta AI',\n83\t icon: '📘',\n84\t color: '#0668e1',\n85\t patterns: ['meta.ai']\n86\t },\n87\t {\n88\t id: 'poe',\n89\t name: 'Poe',\n90\t icon: '💬',\n91\t color: '#7c3aed',\n92\t patterns: ['poe.com']\n93\t },\n94\t {\n95\t id: 'huggingface',\n96\t name: 'HuggingFace',\n97\t icon: '🤗',\n98\t color: '#ffd21e',\n99\t patterns: ['huggingface.co', 'huggingchat']\n100\t },\n101\t {\n102\t id: 'cohere',\n103\t name: 'Cohere',\n104\t icon: '🔮',\n105\t color: '#39d353',\n106\t patterns: ['cohere.ai', 'cohere.com', 'coral.cohere']\n107\t },\n108\t {\n109\t id: 'groq',\n110\t name: 'Groq',\n111\t icon: '⚡',\n112\t color: '#f97316',\n113\t patterns: ['groq.com']\n114\t },\n115\t {\n116\t id: 'character',\n117\t name: 'Character.AI',\n118\t icon: '🎭',\n119\t color: '#3b82f6',\n120\t patterns: ['character.ai']\n121\t },\n122\t {\n123\t id: 'pi',\n124\t name: 'Pi (Inflection)',\n125\t icon: '🥧',\n126\t color: '#ec4899',\n127\t patterns: ['pi.ai', 'inflection.ai']\n128\t },\n129\t];\n130\t\n131\t/**\n132\t * GET /api/llm\n133\t * Fetch LLM referral traffic data from Google Analytics\n134\t */\n135\texport async function GET(request: NextRequest) {\n136\t try {\n137\t const session = await getServerSession(authOptions);\n138\t \n139\t if (!session?.user?.id) {\n140\t return NextResponse.json({ error: 'Unauthorized' }, { status: 401 });\n141\t }\n142\t\n143\t const year = parseInt(request.nextUrl.searchParams.get('year') || '2025');\n144\t const month = parseInt(request.nextUrl.searchParams.get('month') || '12');\n145\t const compareMode = request.nextUrl.searchParams.get('compareMode') || 'm-1';\n146\t const forceRefresh = request.nextUrl.searchParams.get('forceRefresh') === 'true';\n147\t\n148\t // =========================================\n149\t // INSTANT PATH: In-memory cache\n150\t // ========================================="}]},"uuid":"5ea604ce-3d44-4348-8273-3768253b0375","timestamp":"2026-06-07T16:48:28.524Z","sourceToolAssistantUUID":"b1d09418-cc13-41db-bfac-fa38b6384d0f","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":"5ea604ce-3d44-4348-8273-3768253b0375","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01693vYABFgCieq4FAkNfpZm","type":"message","role":"assistant","content":[{"type":"text","text":"Let me continue reading the competitors and backlinks API routes, and also check for the insights content endpoint:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":7077,"cache_read_input_tokens":53291,"cache_creation":{"ephemeral_5m_input_tokens":7077,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpExG93VmD2ym98XG4Qt","attributionAgent":"Explore","type":"assistant","uuid":"aa7b1b8a-7d6e-425f-9f4b-e1219524b83b","timestamp":"2026-06-07T16:48:30.902Z","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":"aa7b1b8a-7d6e-425f-9f4b-e1219524b83b","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01693vYABFgCieq4FAkNfpZm","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GTUeDQi1vHuFos4bgRUY9f","name":"Bash","input":{"command":"find /opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api -type f -name \"route.ts\" | xargs grep -l \"competitors\\|insights\\|backlinks\" | head -10"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":7077,"cache_read_input_tokens":53291,"cache_creation":{"ephemeral_5m_input_tokens":7077,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpExG93VmD2ym98XG4Qt","attributionAgent":"Explore","type":"assistant","uuid":"b9858a74-ebdc-49fe-997c-9f1588ca0b55","timestamp":"2026-06-07T16:48:31.539Z","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":"b9858a74-ebdc-49fe-997c-9f1588ca0b55","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GTUeDQi1vHuFos4bgRUY9f","type":"tool_result","content":"/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/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/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","is_error":false}]},"uuid":"c2cb18c4-baea-40f0-8a00-f473026b1547","timestamp":"2026-06-07T16:48:31.593Z","sourceToolAssistantUUID":"b9858a74-ebdc-49fe-997c-9f1588ca0b55","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":"c2cb18c4-baea-40f0-8a00-f473026b1547","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01693vYABFgCieq4FAkNfpZm","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LkCZCbzKLJwbpm6emCW5AN","name":"Read","input":{"file_path":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/competitors/overview"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":7077,"cache_read_input_tokens":53291,"output_tokens":193,"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":7077},"inference_geo":"not_available","iterations":[{"input_tokens":7,"output_tokens":193,"cache_read_input_tokens":53291,"cache_creation_input_tokens":7077,"cache_creation":{"ephemeral_5m_input_tokens":7077,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbpExG93VmD2ym98XG4Qt","attributionAgent":"Explore","type":"assistant","uuid":"756ddcd7-09ce-4e90-bcc4-4a5260beedd3","timestamp":"2026-06-07T16:48:31.799Z","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":"756ddcd7-09ce-4e90-bcc4-4a5260beedd3","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"EISDIR: illegal operation on a directory, read '/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/competitors/overview'","is_error":true,"tool_use_id":"toolu_01LkCZCbzKLJwbpm6emCW5AN"}]},"uuid":"5005d94c-f22e-4ffc-be1f-2275c667f3c8","timestamp":"2026-06-07T16:48:31.809Z","toolUseResult":"Error: EISDIR: illegal operation on a directory, read '/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/competitors/overview'","sourceToolAssistantUUID":"756ddcd7-09ce-4e90-bcc4-4a5260beedd3","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":"5005d94c-f22e-4ffc-be1f-2275c667f3c8","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01LAecTrdw6NhfAHDVHRuUGM","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WVN95Gm87nKocFbaXdaa4d","name":"Read","input":{"file_path":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/competitors/overview/route.ts","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":732,"cache_read_input_tokens":60368,"cache_creation":{"ephemeral_5m_input_tokens":732,"ephemeral_1h_input_tokens":0},"output_tokens":69,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpExW5wLCmK4mT28qmdo","attributionAgent":"Explore","type":"assistant","uuid":"152966d6-764d-4c79-8876-b2518fd96634","timestamp":"2026-06-07T16:48:34.310Z","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":"152966d6-764d-4c79-8876-b2518fd96634","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WVN95Gm87nKocFbaXdaa4d","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);\n101\t return {\n102\t slug: comp.slug,\n103\t name: comp.name,\n104\t faviconUrl: comp.faviconUrl,\n105\t postsThisPeriod: compPosts.length,\n106\t totalPosts: compPosts.length,\n107\t byMarket: {\n108\t en: compPosts.filter(p => p.market === 'en').length,\n109\t fr: compPosts.filter(p => p.market === 'fr').length,\n110\t it: compPosts.filter(p => p.market === 'it').length,\n111\t },\n112\t };\n113\t });\n114\t\n115\t // Build timeline from valid posts (in-memory instead of raw SQL)\n116\t const timelineByDate: Record }> = {};\n117\t \n118\t validPosts.forEach(post => {\n119\t if (!post.publishedDate) return;\n120\t const dateStr = post.publishedDate.toISOString().split('T')[0];\n121\t \n122\t if (!timelineByDate[dateStr]) {\n123\t timelineByDate[dateStr] = { date: dateStr, posts: 0, byCompetitor: {} };\n124\t }\n125\t \n126\t timelineByDate[dateStr].posts++;\n127\t \n128\t const comp = competitors.find(c => c.id === post.competitorId);\n129\t if (comp) {\n130\t timelineByDate[dateStr].byCompetitor[comp.slug] = \n131\t (timelineByDate[dateStr].byCompetitor[comp.slug] || 0) + 1;\n132\t }\n133\t });\n134\t\n135\t // Get recent posts - truly published in period, exclude index pages\n136\t const recentPosts = validPostIds.length > 0 \n137\t ? await prisma.competitorPost.findMany({\n138\t where: {\n139\t id: { in: validPostIds },\n140\t },\n141\t include: {\n142\t competitor: {\n143\t select: { slug: true, name: true, faviconUrl: true },\n144\t },\n145\t },\n146\t orderBy: { publishedDate: 'desc' },\n147\t take: 20,\n148\t })\n149\t : [];\n150\t\n151\t const response: CompetitorOverviewData = {\n152\t period: {\n153\t start: startDate.toISOString(),\n154\t end: endDate.toISOString(),\n155\t label,\n156\t },\n157\t summary: {\n158\t totalCompetitors: competitors.length,\n159\t totalPosts: validPosts.length,\n160\t newPostsThisPeriod: validPosts.length,\n161\t mostActiveCompetitor: mostActiveComp\n162\t ? { name: mostActiveComp.name, posts: mostActiveCompCount }\n163\t : null,\n164\t mostActiveMarket: mostActiveMarket\n165\t ? { market: mostActiveMarket[0] as CompetitorMarket, posts: mostActiveMarket[1] }\n166\t : null,\n167\t },\n168\t byCompetitor: byCompetitor.sort((a, b) => b.postsThisPeriod - a.postsThisPeriod),\n169\t timeline: Object.values(timelineByDate).sort((a, b) => a.date.localeCompare(b.date)),\n170\t recentPosts: recentPosts.map((p) => ({\n171\t id: p.id,\n172\t url: p.url,\n173\t slug: p.slug,\n174\t h1: p.h1,\n175\t title: p.title,\n176\t publishedDate: p.publishedDate?.toISOString() || null,\n177\t firstSeen: p.firstSeen.toISOString(),\n178\t market: p.market as CompetitorMarket,\n179\t competitor: p.competitor,\n180\t })),\n181\t };\n182\t\n183\t return NextResponse.json(response);\n184\t } catch (error) {\n185\t console.error('Error fetching competitor overview:', error);\n186\t return NextResponse.json(\n187\t { error: 'Failed to fetch overview' },\n188\t { status: 500 }\n189\t );\n190\t }\n191\t}\n192\t"}]},"uuid":"f3c4a432-0759-4c06-88c0-7b8b409877e6","timestamp":"2026-06-07T16:48:34.331Z","sourceToolAssistantUUID":"152966d6-764d-4c79-8876-b2518fd96634","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":"f3c4a432-0759-4c06-88c0-7b8b409877e6","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01LAecTrdw6NhfAHDVHRuUGM","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EzTiupkQqt8CVpBuK9nJyN","name":"Read","input":{"file_path":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/insights/content/route.ts"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":732,"cache_read_input_tokens":60368,"cache_creation":{"ephemeral_5m_input_tokens":732,"ephemeral_1h_input_tokens":0},"output_tokens":69,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpExW5wLCmK4mT28qmdo","attributionAgent":"Explore","type":"assistant","uuid":"d13429ff-a4bd-4e8b-86ec-247168e0d840","timestamp":"2026-06-07T16:48:34.530Z","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":"d13429ff-a4bd-4e8b-86ec-247168e0d840","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EzTiupkQqt8CVpBuK9nJyN","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":"a03f94c8-34ee-4fc5-a1bd-f58a80b96b47","timestamp":"2026-06-07T16:48:34.564Z","sourceToolAssistantUUID":"d13429ff-a4bd-4e8b-86ec-247168e0d840","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":"a03f94c8-34ee-4fc5-a1bd-f58a80b96b47","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01LAecTrdw6NhfAHDVHRuUGM","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014ruQKj6kxXUQLAB5dui1mK","name":"Bash","input":{"command":"find /opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/competitors -name \"*.ts\" | head -5"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":732,"cache_read_input_tokens":60368,"output_tokens":242,"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":732},"inference_geo":"not_available","iterations":[{"input_tokens":7,"output_tokens":242,"cache_read_input_tokens":60368,"cache_creation_input_tokens":732,"cache_creation":{"ephemeral_5m_input_tokens":732,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbpExW5wLCmK4mT28qmdo","attributionAgent":"Explore","type":"assistant","uuid":"bcc79902-108b-42fe-be5e-ef206f008835","timestamp":"2026-06-07T16:48:34.754Z","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":"bcc79902-108b-42fe-be5e-ef206f008835","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014ruQKj6kxXUQLAB5dui1mK","type":"tool_result","content":"/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/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","is_error":false}]},"uuid":"4ad35424-1b0b-42e0-9533-63b82dcc7bd7","timestamp":"2026-06-07T16:48:34.817Z","sourceToolAssistantUUID":"bcc79902-108b-42fe-be5e-ef206f008835","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":"4ad35424-1b0b-42e0-9533-63b82dcc7bd7","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Ezoijq8YLMR9MtpgaGiBco","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me check the backlinks and competitors types to understand the full structure:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":4041,"cache_read_input_tokens":61100,"cache_creation":{"ephemeral_5m_input_tokens":4041,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpExiyqJNyaFC4bQxdYH","attributionAgent":"Explore","type":"assistant","uuid":"4022709a-f1ef-4646-9a2f-92120127fc1d","timestamp":"2026-06-07T16:48:36.827Z","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":"4022709a-f1ef-4646-9a2f-92120127fc1d","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Ezoijq8YLMR9MtpgaGiBco","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01W9qQ2tkYuKgwKCtKGnMyiy","name":"Read","input":{"file_path":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/types/competitors.ts"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":4041,"cache_read_input_tokens":61100,"cache_creation":{"ephemeral_5m_input_tokens":4041,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpExiyqJNyaFC4bQxdYH","attributionAgent":"Explore","type":"assistant","uuid":"770a478c-6212-4e3e-a03b-422e88e5967d","timestamp":"2026-06-07T16:48:37.106Z","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":"770a478c-6212-4e3e-a03b-422e88e5967d","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01W9qQ2tkYuKgwKCtKGnMyiy","type":"tool_result","content":"1\t// TypeScript types for Competitor Intelligence\n2\t\n3\texport type CompetitorMarket = 'en' | 'fr' | 'it';\n4\t\n5\texport interface Competitor {\n6\t id: number;\n7\t slug: string;\n8\t name: string;\n9\t domain: string;\n10\t homeUrl: string;\n11\t logoUrl: string | null;\n12\t faviconUrl: string | null;\n13\t isActive: boolean;\n14\t isOwnBrand: boolean; // True for Dr. Cinik\n15\t createdAt: string;\n16\t updatedAt: string;\n17\t}\n18\t\n19\texport interface CompetitorMarketPath {\n20\t id: number;\n21\t competitorId: number;\n22\t market: CompetitorMarket;\n23\t urlPattern: string;\n24\t isActive: boolean;\n25\t}\n26\t\n27\texport interface CompetitorSitemap {\n28\t id: number;\n29\t competitorId: number;\n30\t sitemapUrl: string;\n31\t market: CompetitorMarket | null;\n32\t lastFetched: string | null;\n33\t lastStatus: 'success' | 'error' | 'timeout' | null;\n34\t postCount: number | null;\n35\t}\n36\t\n37\texport interface CompetitorPost {\n38\t id: number;\n39\t competitorId: number;\n40\t url: string;\n41\t market: CompetitorMarket;\n42\t slug: string | null;\n43\t lastmod: string | null;\n44\t title: string | null;\n45\t h1: string | null;\n46\t publishedDate: string | null;\n47\t description: string | null;\n48\t featuredImage: string | null;\n49\t firstSeen: string;\n50\t lastSeen: string;\n51\t detailsFetched: boolean;\n52\t}\n53\t\n54\texport interface CompetitorSyncLog {\n55\t id: number;\n56\t competitorId: number | null;\n57\t market: CompetitorMarket | null;\n58\t syncedAt: string;\n59\t status: 'success' | 'error' | 'partial';\n60\t postsFound: number | null;\n61\t newPosts: number | null;\n62\t errorMessage: string | null;\n63\t durationMs: number | null;\n64\t}\n65\t\n66\t// =====================================\n67\t// BACKLINKS TYPES\n68\t// =====================================\n69\t\n70\texport type BacklinkCategory = 'press_release' | 'advertorial' | 'sponsored_article' | 'guest_post' | 'other';\n71\t\n72\texport interface CompetitorBacklink {\n73\t id: number;\n74\t competitorId: number;\n75\t period: string; // \"2025-12-01\"\n76\t url: string;\n77\t domain: string;\n78\t domainRating: number | null;\n79\t traffic: number | null;\n80\t country: string | null;\n81\t language: string | null;\n82\t category: BacklinkCategory | null;\n83\t isDofollow: boolean;\n84\t firstSeen: string | null;\n85\t comment: string | null;\n86\t importedAt: string;\n87\t}\n88\t\n89\t// JSON import format\n90\texport interface BacklinkImportJson {\n91\t meta: {\n92\t target: string; // Domain name (e.g., \"drserkanaygin.com\")\n93\t period: string; // \"2025-12\" format\n94\t total: number;\n95\t };\n96\t backlinks: {\n97\t url: string;\n98\t domain: string;\n99\t domain_rating: number;\n100\t traffic: number;\n101\t country: string;\n102\t language: string;\n103\t category: string;\n104\t is_dofollow: boolean;\n105\t first_seen: string;\n106\t comment: string;\n107\t }[];\n108\t}\n109\t\n110\t// Stats for a single competitor's backlinks\n111\texport interface BacklinkStats {\n112\t total: number;\n113\t dofollow: number;\n114\t nofollow: number;\n115\t avgDomainRating: number;\n116\t totalTrafficReach: number;\n117\t byCategory: Record;\n118\t byCountry: Record;\n119\t}\n120\t\n121\t// Recent backlink for overview page\n122\texport interface RecentBacklink {\n123\t id: number;\n124\t url: string;\n125\t domain: string;\n126\t domainRating: number | null;\n127\t traffic: number | null;\n128\t country: string | null;\n129\t category: BacklinkCategory | null;\n130\t isDofollow: boolean;\n131\t firstSeen: string | null;\n132\t comment: string | null;\n133\t competitor: {\n134\t slug: string;\n135\t name: string;\n136\t faviconUrl: string | null;\n137\t };\n138\t}\n139\t\n140\t// Form data types\n141\texport interface CompetitorFormData {\n142\t name: string;\n143\t homeUrl: string;\n144\t isOwnBrand?: boolean; // True for Dr. Cinik\n145\t marketPaths: {\n146\t en: { pattern: string; isActive: boolean };\n147\t fr: { pattern: string; isActive: boolean };\n148\t it: { pattern: string; isActive: boolean };\n149\t };\n150\t sitemapMode: 'single' | 'per-market';\n151\t sitemaps: {\n152\t single?: string;\n153\t perMarket?: {\n154\t en?: string;\n155\t fr?: string;\n156\t it?: string;\n157\t };\n158\t };\n159\t}\n160\t\n161\t// Default values for new competitor form\n162\texport const DEFAULT_COMPETITOR_FORM: CompetitorFormData = {\n163\t name: '',\n164\t homeUrl: '',\n165\t marketPaths: {\n166\t en: { pattern: '/', isActive: true },\n167\t fr: { pattern: '/fr/', isActive: true },\n168\t it: { pattern: '/it/', isActive: true },\n169\t },\n170\t sitemapMode: 'single',\n171\t sitemaps: {\n172\t single: '',\n173\t perMarket: {},\n174\t },\n175\t};\n176\t\n177\t// API response types\n178\texport interface CompetitorWithDetails extends Competitor {\n179\t sitemaps: CompetitorSitemap[];\n180\t marketPaths: CompetitorMarketPath[];\n181\t _count?: {\n182\t posts: number;\n183\t };\n184\t}\n185\t\n186\texport interface CompetitorOverviewItem {\n187\t id: number;\n188\t slug: string;\n189\t name: string;\n190\t domain: string;\n191\t logoUrl: string | null;\n192\t faviconUrl: string | null;\n193\t isOwnBrand: boolean; // True for Dr. Cinik\n194\t markets: {\n195\t en: { postCount: number; lastSync: string | null; status: string | null };\n196\t fr: { postCount: number; lastSync: string | null; status: string | null };\n197\t it: { postCount: number; lastSync: string | null; status: string | null };\n198\t };\n199\t totalPosts: number;\n200\t lastMonthPosts: number;\n201\t lastSync: string | null;\n202\t}\n203\t\n204\texport interface CompetitorStats {\n205\t totalPosts: number;\n206\t postsByMarket: { en: number; fr: number; it: number };\n207\t lastMonthPosts: number;\n208\t last3MonthsPosts: number;\n209\t avgPostsPerMonth: number;\n210\t}\n211\t\n212\texport interface CompetitorActivity {\n213\t month: string;\n214\t count: number;\n215\t byMarket: { en: number; fr: number; it: number };\n216\t}\n217\t\n218\texport interface CompetitorOverviewData {\n219\t period: { start: string; end: string; label: string };\n220\t summary: {\n221\t totalCompetitors: number;\n222\t totalPosts: number;\n223\t newPostsThisPeriod: number;\n224\t mostActiveCompetitor: { name: string; posts: number } | null;\n225\t mostActiveMarket: { market: CompetitorMarket; posts: number } | null;\n226\t };\n227\t byCompetitor: {\n228\t slug: string;\n229\t name: string;\n230\t faviconUrl: string | null;\n231\t postsThisPeriod: number;\n232\t totalPosts: number;\n233\t byMarket: { en: number; fr: number; it: number };\n234\t }[];\n235\t timeline: {\n236\t date: string;\n237\t posts: number;\n238\t byCompetitor: Record;\n239\t }[];\n240\t recentPosts: {\n241\t id: number;\n242\t url: string;\n243\t slug: string | null;\n244\t h1: string | null;\n245\t title: string | null;\n246\t publishedDate: string | null;\n247\t firstSeen: string;\n248\t market: CompetitorMarket;\n249\t competitor: {\n250\t slug: string;\n251\t name: string;\n252\t faviconUrl: string | null;\n253\t };\n254\t }[];\n255\t}\n256\t\n257\t// Sync result types\n258\texport interface SyncResult {\n259\t competitor: string;\n260\t market: CompetitorMarket | 'all';\n261\t status: 'success' | 'error';\n262\t postsFound?: number;\n263\t newPosts?: number;\n264\t postsByMarket?: { en: number; fr: number; it: number };\n265\t error?: string;\n266\t}\n267\t\n268\texport interface SyncResponse {\n269\t success: boolean;\n270\t results: SyncResult[];\n271\t duration: number;\n272\t}\n273\t\n274\t"}]},"uuid":"0f555429-13d0-45f8-a066-e1170aaf18da","timestamp":"2026-06-07T16:48:37.132Z","sourceToolAssistantUUID":"770a478c-6212-4e3e-a03b-422e88e5967d","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":"0f555429-13d0-45f8-a066-e1170aaf18da","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Ezoijq8YLMR9MtpgaGiBco","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SW3X5f3sJthEq8BUuAeNrj","name":"Bash","input":{"command":"grep -r \"backlinks\" /opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api --include=\"*.ts\" -l | head -3"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":4041,"cache_read_input_tokens":61100,"cache_creation":{"ephemeral_5m_input_tokens":4041,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpExiyqJNyaFC4bQxdYH","attributionAgent":"Explore","type":"assistant","uuid":"315a16f9-dc1c-43cf-a332-f48b00e782c7","timestamp":"2026-06-07T16:48:37.528Z","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":"315a16f9-dc1c-43cf-a332-f48b00e782c7","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SW3X5f3sJthEq8BUuAeNrj","type":"tool_result","content":"/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/competitors/backlinks/overview/route.ts","is_error":false}]},"uuid":"34208dc5-f3a3-4dfe-bd9c-312f6b010640","timestamp":"2026-06-07T16:48:37.590Z","sourceToolAssistantUUID":"315a16f9-dc1c-43cf-a332-f48b00e782c7","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":"34208dc5-f3a3-4dfe-bd9c-312f6b010640","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Ezoijq8YLMR9MtpgaGiBco","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012g9XnXFZzb54ihBZjhTBZt","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":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":4041,"cache_read_input_tokens":61100,"cache_creation":{"ephemeral_5m_input_tokens":4041,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpExiyqJNyaFC4bQxdYH","attributionAgent":"Explore","type":"assistant","uuid":"dd1775b1-5e19-48f7-b7a4-990b323e1c17","timestamp":"2026-06-07T16:48:37.776Z","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":"dd1775b1-5e19-48f7-b7a4-990b323e1c17","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012g9XnXFZzb54ihBZjhTBZt","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":"43f12437-5965-4179-9ac5-0d3800a3d053","timestamp":"2026-06-07T16:48:37.845Z","sourceToolAssistantUUID":"dd1775b1-5e19-48f7-b7a4-990b323e1c17","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":"43f12437-5965-4179-9ac5-0d3800a3d053","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Wk8oJo8rLx3amBBFufSphj","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me check the prisma migrations and environment configuration:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":5121,"cache_read_input_tokens":65141,"cache_creation":{"ephemeral_5m_input_tokens":5121,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpExx1QdxkXjY81sXgb7","attributionAgent":"Explore","type":"assistant","uuid":"d4c2259b-6ae9-4235-8e61-094d86fd1fb9","timestamp":"2026-06-07T16:48:39.649Z","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":"d4c2259b-6ae9-4235-8e61-094d86fd1fb9","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Wk8oJo8rLx3amBBFufSphj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018eNRW4RMYh3XNLDo6j4Jdw","name":"Bash","input":{"command":"ls -la /opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/prisma/"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":5121,"cache_read_input_tokens":65141,"cache_creation":{"ephemeral_5m_input_tokens":5121,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpExx1QdxkXjY81sXgb7","attributionAgent":"Explore","type":"assistant","uuid":"f8869729-a569-4839-b201-cd7406e480b7","timestamp":"2026-06-07T16:48:40.310Z","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":"f8869729-a569-4839-b201-cd7406e480b7","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018eNRW4RMYh3XNLDo6j4Jdw","type":"tool_result","content":"total 28\ndrwxrwxr-x 2 dev dev 4096 Jun 7 16:15 .\ndrwxrwxr-x 8 dev dev 4096 Jun 7 16:15 ..\n-rw-rw-r-- 1 dev dev 18158 Jun 7 16:15 schema.prisma","is_error":false}]},"uuid":"48860165-d72a-4370-8bce-8ec0b534daca","timestamp":"2026-06-07T16:48:40.399Z","sourceToolAssistantUUID":"f8869729-a569-4839-b201-cd7406e480b7","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":"48860165-d72a-4370-8bce-8ec0b534daca","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Wk8oJo8rLx3amBBFufSphj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QKQjcmNocVqe76sV9aDnkM","name":"Bash","input":{"command":"grep -E \"DATABASE_URL|INTERNAL_APP_URL\" /opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/.env.local 2>/dev/null | head -5"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":5121,"cache_read_input_tokens":65141,"cache_creation":{"ephemeral_5m_input_tokens":5121,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpExx1QdxkXjY81sXgb7","attributionAgent":"Explore","type":"assistant","uuid":"a3e6d827-ad11-4ec1-989b-5606087deffc","timestamp":"2026-06-07T16:48:40.756Z","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":"a3e6d827-ad11-4ec1-989b-5606087deffc","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QKQjcmNocVqe76sV9aDnkM","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"17c1243b-fdca-497f-b263-a182fc27235f","timestamp":"2026-06-07T16:48:40.819Z","sourceToolAssistantUUID":"a3e6d827-ad11-4ec1-989b-5606087deffc","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":"17c1243b-fdca-497f-b263-a182fc27235f","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Wk8oJo8rLx3amBBFufSphj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LyXUHsf8ZhexJXS268fTFo","name":"Bash","input":{"command":"find /opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/prisma -name \"migration*\" -type d | head -5"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":5121,"cache_read_input_tokens":65141,"output_tokens":242,"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":5121},"inference_geo":"not_available","iterations":[{"input_tokens":7,"output_tokens":242,"cache_read_input_tokens":65141,"cache_creation_input_tokens":5121,"cache_creation":{"ephemeral_5m_input_tokens":5121,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbpExx1QdxkXjY81sXgb7","attributionAgent":"Explore","type":"assistant","uuid":"f3125beb-da44-45c7-ace0-d3a008806025","timestamp":"2026-06-07T16:48:40.966Z","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":"f3125beb-da44-45c7-ace0-d3a008806025","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LyXUHsf8ZhexJXS268fTFo","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"3abb1650-793e-444c-acab-4adf2b133240","timestamp":"2026-06-07T16:48:41.139Z","sourceToolAssistantUUID":"f3125beb-da44-45c7-ace0-d3a008806025","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":"3abb1650-793e-444c-acab-4adf2b133240","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Aatc9KVSKTpTbqa2n1usA5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WUeNoju4rv2mDKvymooMDj","name":"Bash","input":{"command":"ls -la /opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/prisma/migrations/ 2>/dev/null | head -20"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":528,"cache_read_input_tokens":70262,"cache_creation":{"ephemeral_5m_input_tokens":528,"ephemeral_1h_input_tokens":0},"output_tokens":58,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEyBqrnKB7yYzg2xpat","attributionAgent":"Explore","type":"assistant","uuid":"78d29732-924e-4987-8b1d-41980d369873","timestamp":"2026-06-07T16:48:43.165Z","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":"78d29732-924e-4987-8b1d-41980d369873","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WUeNoju4rv2mDKvymooMDj","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"c0dd9fcd-c132-4b9a-92c4-374ff1896dc0","timestamp":"2026-06-07T16:48:43.260Z","sourceToolAssistantUUID":"78d29732-924e-4987-8b1d-41980d369873","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":"c0dd9fcd-c132-4b9a-92c4-374ff1896dc0","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Aatc9KVSKTpTbqa2n1usA5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01E1CpGsKBsutnZVWXfAr2Ni","name":"Read","input":{"file_path":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/.env.example"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":528,"cache_read_input_tokens":70262,"cache_creation":{"ephemeral_5m_input_tokens":528,"ephemeral_1h_input_tokens":0},"output_tokens":58,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEyBqrnKB7yYzg2xpat","attributionAgent":"Explore","type":"assistant","uuid":"94c25d7d-9570-4b0e-bd58-fde9d81609a5","timestamp":"2026-06-07T16:48:43.389Z","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":"94c25d7d-9570-4b0e-bd58-fde9d81609a5","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"File does not exist. Note: your current working directory is /opt/projects/.dashboard-cinik-worktrees/tom-auto-populate. Did you mean .env.local?","is_error":true,"tool_use_id":"toolu_01E1CpGsKBsutnZVWXfAr2Ni"}]},"uuid":"c8137058-4960-4d8d-8c6f-18d2744515a0","timestamp":"2026-06-07T16:48:43.403Z","toolUseResult":"Error: File does not exist. Note: your current working directory is /opt/projects/.dashboard-cinik-worktrees/tom-auto-populate. Did you mean .env.local?","sourceToolAssistantUUID":"94c25d7d-9570-4b0e-bd58-fde9d81609a5","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":"c8137058-4960-4d8d-8c6f-18d2744515a0","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01DhNeAdpMjqADHvQUgCoDkE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MVS7CGdg3UUxb6ic6jCvXs","name":"Bash","input":{"command":"cat /opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/.env.local 2>/dev/null | grep -E \"DATABASE|INTERNAL|NODE_ENV\" | head -10"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":253,"cache_read_input_tokens":70790,"output_tokens":99,"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":253},"inference_geo":"not_available","iterations":[{"input_tokens":7,"output_tokens":99,"cache_read_input_tokens":70790,"cache_creation_input_tokens":253,"cache_creation":{"ephemeral_5m_input_tokens":253,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbpEyMZ1Jxz4eaYnWNLiN","attributionAgent":"Explore","type":"assistant","uuid":"262393cd-fd2d-47d7-a5d0-9a1f8290f4b7","timestamp":"2026-06-07T16:48:45.221Z","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":"262393cd-fd2d-47d7-a5d0-9a1f8290f4b7","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MVS7CGdg3UUxb6ic6jCvXs","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"66f32ea1-e944-4f4b-abab-718f67ec14e0","timestamp":"2026-06-07T16:48:45.299Z","sourceToolAssistantUUID":"262393cd-fd2d-47d7-a5d0-9a1f8290f4b7","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":"66f32ea1-e944-4f4b-abab-718f67ec14e0","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Cc3XJE5yehJBUr5ibkeWU9","type":"message","role":"assistant","content":[{"type":"text","text":"Let me check one more critical file - the report retrieval endpoint to see how the data is accessed:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":119,"cache_read_input_tokens":71043,"cache_creation":{"ephemeral_5m_input_tokens":119,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEyVhttsTpA18k6e3tX","attributionAgent":"Explore","type":"assistant","uuid":"0d74a420-1d93-4376-9f75-9429a1117ca2","timestamp":"2026-06-07T16:48:47.365Z","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":"0d74a420-1d93-4376-9f75-9429a1117ca2","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Cc3XJE5yehJBUr5ibkeWU9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EWVdSZzZGMmHQHmv5pdBYz","name":"Read","input":{"file_path":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/reports/[slug]/route.ts"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":119,"cache_read_input_tokens":71043,"cache_creation":{"ephemeral_5m_input_tokens":119,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEyVhttsTpA18k6e3tX","attributionAgent":"Explore","type":"assistant","uuid":"78b39e20-8a31-4891-b56c-01c6ad821c34","timestamp":"2026-06-07T16:48:47.812Z","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"} {"parentUuid":"78b39e20-8a31-4891-b56c-01c6ad821c34","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EWVdSZzZGMmHQHmv5pdBYz","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 }\n154\t}\n155\t\n156\t"}]},"uuid":"ce208276-e596-434c-a104-264b9f93014e","timestamp":"2026-06-07T16:48:47.839Z","sourceToolAssistantUUID":"78b39e20-8a31-4891-b56c-01c6ad821c34","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":"ce208276-e596-434c-a104-264b9f93014e","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Cc3XJE5yehJBUr5ibkeWU9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Xzj7xvmhhYDoqqU9PuHGKE","name":"Bash","input":{"command":"grep -r \"Setting\" /opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api --include=\"*.ts\" -A 2 | head -30"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":119,"cache_read_input_tokens":71043,"output_tokens":188,"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":119},"inference_geo":"not_available","iterations":[{"input_tokens":5,"output_tokens":188,"cache_read_input_tokens":71043,"cache_creation_input_tokens":119,"cache_creation":{"ephemeral_5m_input_tokens":119,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbpEyVhttsTpA18k6e3tX","attributionAgent":"Explore","type":"assistant","uuid":"fc9f5786-7b48-475a-b521-aacd3e160789","timestamp":"2026-06-07T16:48:48.000Z","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":"fc9f5786-7b48-475a-b521-aacd3e160789","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Xzj7xvmhhYDoqqU9PuHGKE","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"0c03106c-6566-4110-b164-0219579785a6","timestamp":"2026-06-07T16:48:48.070Z","sourceToolAssistantUUID":"fc9f5786-7b48-475a-b521-aacd3e160789","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":"0c03106c-6566-4110-b164-0219579785a6","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01EvSz7jMHHvcKnD6iWdq9y5","type":"message","role":"assistant","content":[{"type":"text","text":"Perfect! Now let me compile a comprehensive summary. Let me also check the ReportProvider to understand how the report data flows to the frontend:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":1898,"cache_read_input_tokens":71162,"cache_creation":{"ephemeral_5m_input_tokens":1898,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEyhYHvBVC56MQkdEjW","attributionAgent":"Explore","type":"assistant","uuid":"dd27bfed-1072-441a-bcd1-c2bf87481add","timestamp":"2026-06-07T16:48:50.176Z","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":"dd27bfed-1072-441a-bcd1-c2bf87481add","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01EvSz7jMHHvcKnD6iWdq9y5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Rp3EQug3FW2kyHbGV4JkAF","name":"Read","input":{"file_path":"/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/components/providers/ReportProvider.tsx","limit":100},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":1898,"cache_read_input_tokens":71162,"output_tokens":130,"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":1898},"inference_geo":"not_available","iterations":[{"input_tokens":6,"output_tokens":130,"cache_read_input_tokens":71162,"cache_creation_input_tokens":1898,"cache_creation":{"ephemeral_5m_input_tokens":1898,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbpEyhYHvBVC56MQkdEjW","attributionAgent":"Explore","type":"assistant","uuid":"606e3b57-9978-4fd6-a12b-a4166f0acdbb","timestamp":"2026-06-07T16:48:50.821Z","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":"606e3b57-9978-4fd6-a12b-a4166f0acdbb","isSidechain":true,"promptId":"87f56e97-dfd7-45b0-be0e-8714c209ce97","agentId":"a827a7870f54fe8d0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Rp3EQug3FW2kyHbGV4JkAF","type":"tool_result","content":"1\t'use client';\n2\t\n3\timport { createContext, useContext, useState, ReactNode, useCallback } from 'react';\n4\t\n5\texport type CompareMode = 'm-1' | 'y-1';\n6\t\n7\t// Raw report data from API - contains both compare modes\n8\texport interface RawReportData {\n9\t id: number;\n10\t slug: string;\n11\t year: number;\n12\t month: number;\n13\t label: string;\n14\t status: string;\n15\t generatedAt: string;\n16\t publishedAt: string | null;\n17\t // Each contains both modes: { \"m-1\": {...}, \"y-1\": {...} }\n18\t dashboardData: Record;\n19\t marketsData: Record>;\n20\t discoverData: Record;\n21\t llmData: Record;\n22\t // These don't depend on compare mode\n23\t competitorsData: any;\n24\t competitorDetailsData: Record;\n25\t backlinksData: any;\n26\t insightsContent: string | null;\n27\t newsData: any;\n28\t}\n29\t\n30\tinterface ReportContextType {\n31\t report: RawReportData;\n32\t compareMode: CompareMode;\n33\t setCompareMode: (mode: CompareMode) => void;\n34\t}\n35\t\n36\tconst ReportContext = createContext(null);\n37\t\n38\texport function ReportProvider({ \n39\t children, \n40\t report \n41\t}: { \n42\t children: ReactNode; \n43\t report: RawReportData;\n44\t}) {\n45\t const [compareMode, setCompareMode] = useState('m-1');\n46\t\n47\t const handleSetCompareMode = useCallback((mode: CompareMode) => {\n48\t setCompareMode(mode);\n49\t }, []);\n50\t\n51\t return (\n52\t \n53\t {children}\n54\t \n55\t );\n56\t}\n57\t\n58\texport function useReport() {\n59\t const context = useContext(ReportContext);\n60\t if (!context) {\n61\t throw new Error('useReport must be used within a ReportProvider');\n62\t }\n63\t return context;\n64\t}\n65\t\n66\t// Hook to get current compare mode and setter\n67\texport function useCompareMode() {\n68\t const { compareMode, setCompareMode } = useReport();\n69\t return { compareMode, setCompareMode };\n70\t}\n71\t\n72\t// Convenience hooks for specific data (returns data for current compare mode)\n73\texport function useDashboardData() {\n74\t const { report, compareMode } = useReport();\n75\t return report.dashboardData[compareMode];\n76\t}\n77\t\n78\texport function useMarketsData() {\n79\t const { report, compareMode } = useReport();\n80\t return report.marketsData[compareMode];\n81\t}\n82\t\n83\texport function useMarketData(lang: string) {\n84\t const { report, compareMode } = useReport();\n85\t return report.marketsData[compareMode]?.[lang];\n86\t}\n87\t\n88\texport function useDiscoverData() {\n89\t const { report, compareMode } = useReport();\n90\t return report.discoverData[compareMode];\n91\t}\n92\t\n93\texport function useLLMData() {\n94\t const { report, compareMode } = useReport();\n95\t return report.llmData[compareMode];\n96\t}\n97\t\n98\t// These don't depend on compare mode\n99\texport function useCompetitorsData() {\n100\t const { report } = useReport();"}]},"uuid":"102efbe7-5026-4d0f-8bdc-6d428bff3749","timestamp":"2026-06-07T16:48:50.870Z","sourceToolAssistantUUID":"606e3b57-9978-4fd6-a12b-a4166f0acdbb","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":"102efbe7-5026-4d0f-8bdc-6d428bff3749","isSidechain":true,"agentId":"a827a7870f54fe8d0","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01MGS3nU6RB8ejVQVmJipYt4","type":"message","role":"assistant","content":[{"type":"text","text":"Excellent! Now I have a comprehensive picture. Let me create a final summary document with all the details:\n\n## COMPLETE DATA MODEL & MONTHLY REPORT STRUCTURE\n\n### **1. DATABASE PROVIDER & CONNECTION**\n\n**Provider**: PostgreSQL (schema.prisma:9)\n```\ndatasource db {\n provider = \"postgresql\"\n url = env(\"DATABASE_URL\")\n}\n```\n\n**Environment Variables**:\n- `DATABASE_URL` - PostgreSQL connection string (not in repo, in .env.local)\n- `INTERNAL_APP_URL` - Internal API base URL for report generation (optional, defaults to http://127.0.0.1:3000 in prod)\n- `NODE_ENV` - production/development\n\n### **2. PRISMA SCHEMA - COMPLETE MODEL LIST**\n\n**Authentication Models** (schema.prisma:17-60):\n- `Account` - NextAuth OAuth accounts\n- `Session` - NextAuth sessions\n- `User` - User records\n- `VerificationToken` - Email verification tokens\n\n**Market & Configuration** (schema.prisma:66-91):\n- `Market` - Market definitions (code, name, emoji, URL path, ranking source, campaign ID)\n- `PriorityKeyword` - Keywords tracked per market\n\n**Data Ingestion Models** (schema.prisma:115-220):\n- `MonthlyLead` - Zoho CRM lead imports (month, marketCode, leads count)\n- `SemrushRanking` - Ranking distribution CSV imports (top 1-3, 4-10, 11-20, etc.)\n- `KeywordRanking` - Individual keyword positions (mobile/desktop, from SEOMonitor/Monitorank/DataForSEO)\n- `MonthlySearchTraffic` - Google Search Console monthly metrics (clicks, impressions, avgPosition, CTR, non-branded%)\n- `MonthlyDiscover` - Google Discover data (page path, clicks, impressions, CTR)\n- `MonthlyChannelTraffic` - GA4 traffic by channel/month (sessions, conversions)\n- `MonthlyCountryTraffic` - GA4 traffic by country/month (sessions, conversions)\n- `DailyChannelTraffic` - GA4 traffic by channel/day (sessions, conversions)\n- `MonthlyLLMTraffic` - AI referral traffic (ChatGPT, Perplexity, Claude, etc.)\n\n**API & Sync Configuration** (schema.prisma:305-361):\n- `ApiConfig` - API credentials & configuration (providers: seomonitor, monitorank, dataforseo, google_analytics, google_search_console)\n- `CampaignMapping` - Link between ranking API campaigns and markets\n- `SyncLog` - Records of data sync operations (month, provider, status, error messages)\n\n**Settings** (schema.prisma:367-373):\n- `Setting` - Key-value store for configuration (key VARCHAR(100), value TEXT, updatedAt)\n - Key: `monthly_insights_content` (JSON: `{ content: string; updatedAt: ISO8601 }`)\n - Other keys: SEO news data, settings, etc.\n\n**Competitor Intelligence** (schema.prisma:379-520):\n- `Competitor` - Competitor tracking (slug, name, domain, logoUrl, faviconUrl, isOwnBrand)\n- `CompetitorMarketPath` - URL patterns per market (competitorId, market, urlPattern)\n- `CompetitorSitemap` - Blog sitemaps (competitorId, sitemapUrl, market?, lastFetched, postCount)\n- `CompetitorPost` - Blog posts (competitorId, url, market, slug, title, h1, publishedDate, description, featuredImage, firstSeen, lastSeen, detailsFetched)\n- `CompetitorSyncLog` - Competitor data sync records\n- `CompetitorBacklink` - Backlinks from JSON import (competitorId, period, url, domain, domainRating, traffic, country, language, category, isDofollow, firstSeen, comment)\n\n**Monthly Reports** (schema.prisma:530-554):\n```\nmodel MonthlyReport {\n id Int @id @default(autoincrement())\n year Int\n month Int\n slug String @unique // \"december-2025\"\n status ReportStatus @default(draft) // draft | published\n generatedAt DateTime @default(now())\n publishedAt DateTime?\n \n // ===== JSON SNAPSHOT FIELDS (see detailed structure below)\n dashboardData Json @map(\"dashboard_data\")\n marketsData Json @map(\"markets_data\")\n discoverData Json @map(\"discover_data\")\n llmData Json @map(\"llm_data\")\n competitorsData Json @map(\"competitors_data\")\n competitorDetailsData Json @map(\"competitor_details_data\")\n backlinksData Json @map(\"backlinks_data\")\n insightsContent String? @map(\"insights_content\") @db.Text\n newsData Json? @map(\"news_data\")\n}\n```\n\n---\n\n### **3. MONTHLY REPORT JSON FIELD STRUCTURES**\n\n#### **A. `dashboardData` (Record)**\n\n**Key**: `\"m-1\"` (M-1 comparison) or `\"y-1\"` (Y-1 comparison)\n\n**Value Structure** (from src/app/api/dashboard/route.ts:1057-1112):\n```typescript\n{\n period: {\n year: number;\n month: number;\n startDate: \"YYYY-MM-DD\";\n endDate: \"YYYY-MM-DD\";\n label: \"December 2025\";\n };\n comparison: {\n mode: \"m-1\" | \"y-1\";\n prevYear: number;\n prevMonth: number;\n prevStartDate: \"YYYY-MM-DD\";\n prevEndDate: \"YYYY-MM-DD\";\n prevLabel: \"November 2025\" | \"December 2024\";\n };\n analytics: {\n totalSessions: number;\n totalConversions: number;\n sessionsChange: number; // % change\n conversionsChange: number; // % change\n conversionRate: number; // %\n organic: {\n sessions: number;\n conversions: number;\n sessionsChange: number;\n conversionsChange: number;\n };\n channels: Array<{\n channel: string; // \"Organic Search\", \"Paid Search (Hair)\", etc.\n sessions: number;\n conversions: number;\n sessionsPrev: number;\n conversionsPrev: number;\n sessionsChange: number;\n conversionsChange: number;\n }>;\n daily: Array<{\n date: \"YYYY-MM-DD\";\n sessions: number;\n conversions: number;\n }>;\n countriesAnalytics: Array<{\n name: string;\n sessions: number;\n sessionsPrev: number;\n sessionsChange: number;\n conversions: number;\n conversionsPrev: number;\n conversionsChange: number;\n }>;\n monthlyByChannel: Array<{\n month: \"YYYY-MM\";\n [channel: string]: number | string; // 12 months of history\n }>;\n };\n searchConsole: {\n totalClicks: number;\n totalImpressions: number;\n avgPosition: number;\n ctr: number; // %\n clicksChange: number; // %\n countries: Array<{\n countryCode: string;\n clicks: number;\n impressions: number;\n ctr: number;\n position: number;\n }>;\n daily: Array<{\n date: \"YYYY-MM-DD\";\n clicks: number;\n impressions: number;\n }>;\n };\n markets: Array<...>; // See marketsData for individual market structure\n primaryMarkets: Array<...>;\n otherMarkets: Array<...>;\n discover: {\n clicks: number;\n impressions: number;\n ctr: number;\n clicksPrev: number;\n clicksChange: number;\n };\n zoho: {\n seoTotal: number; // Total SEO leads\n seoPrevTotal: number; // Previous period leads\n seoChange: number; // % change\n byMarket: Array<{\n marketCode: \"en\" | \"fr\" | \"it\" | \"london\";\n leads: number;\n leadsPrev: number;\n leadsChange: number;\n }>;\n conversionRate: number; // % (leads / organic sessions)\n };\n _source?: string; // \"database\" indicator if from DB tables\n}\n```\n\n#### **B. `marketsData` (Record>)**\n\n**Keys**: `\"m-1\"` and `\"y-1\"`, each containing:\n```typescript\nRecord\n```\n\n#### **C. `discoverData` (Record)**\n\n**Key**: `\"m-1\"` or `\"y-1\"`\n\n**Value Structure** (from src/app/api/discover/route.ts):\n```typescript\n{\n totalClicks: number;\n totalImpressions: number;\n totalCtr: number; // %\n clicksPrev: number;\n impressionsPrev: number;\n clicksChange: number; // %\n \n topPages: Array<{\n page: string;\n clicks: number;\n impressions: number;\n ctr: number;\n clicksPrev?: number;\n clicksChange?: number;\n }>;\n \n daily: Array<{\n date: \"YYYY-MM-DD\";\n clicks: number;\n impressions: number;\n ctr: number;\n }>;\n}\n```\n\n#### **D. `llmData` (Record)**\n\n**Key**: `\"m-1\"` or `\"y-1\"`\n\n**Value Structure** (from src/app/api/llm/route.ts):\n```typescript\n{\n period: {\n year: number;\n month: number;\n label: string;\n };\n comparison: {\n mode: \"m-1\" | \"y-1\";\n prevYear: number;\n prevMonth: number;\n prevLabel: string;\n };\n \n summary: {\n totalSessions: number;\n totalConversions: number;\n totalUsers: number;\n sources: Array<{\n id: string; // \"chatgpt\", \"perplexity\", \"claude\", etc.\n name: string;\n icon: string;\n sessions: number;\n conversions: number;\n conversionRate: number;\n changeM1: number; // % change\n }>;\n };\n \n daily: Array<{\n date: \"YYYY-MM-DD\";\n sessions: number;\n conversions: number;\n bySource: Record;\n }>;\n \n // Previous period data for comparison\n sessionsPrev: number;\n conversionsPrev: number;\n sessionsChange: number; // %\n conversionsChange: number; // %\n}\n```\n\n#### **E. `competitorsData` (CompetitorOverviewSnapshot - not compare-mode dependent)**\n\n**Structure** (from src/app/api/competitors/overview/route.ts):\n```typescript\n{\n period: {\n start: ISO8601;\n end: ISO8601;\n label: string;\n };\n \n summary: {\n totalCompetitors: number;\n totalPosts: number;\n newPostsThisPeriod: number;\n mostActiveCompetitor: { name: string; posts: number } | null;\n mostActiveMarket: { market: \"en\" | \"fr\" | \"it\"; posts: number } | null;\n };\n \n byCompetitor: Array<{\n slug: string;\n name: string;\n faviconUrl: string | null;\n postsThisPeriod: number;\n totalPosts: number;\n byMarket: { en: number; fr: number; it: number };\n }>;\n \n timeline: Array<{\n date: \"YYYY-MM-DD\";\n posts: number;\n byCompetitor: Record; // { slug: count, ... }\n }>;\n \n recentPosts: Array<{\n id: number;\n url: string;\n slug: string | null;\n h1: string | null;\n title: string | null;\n publishedDate: ISO8601 | null;\n firstSeen: ISO8601;\n market: \"en\" | \"fr\" | \"it\";\n competitor: {\n slug: string;\n name: string;\n faviconUrl: string | null;\n };\n }>;\n}\n```\n\n#### **F. `competitorDetailsData` (Record)**\n\n**Key**: Competitor slug (e.g., \"drserkanaygin\", \"hairmedclinic\")\n\n**Value Structure**:\n```typescript\n{\n // Competitor basic info\n id: number;\n slug: string;\n name: string;\n domain: string;\n homeUrl: string;\n logoUrl: string | null;\n faviconUrl: string | null;\n \n // Posts for this period\n posts: Array<{\n id: number;\n url: string;\n slug: string | null;\n title: string | null;\n h1: string | null;\n publishedDate: ISO8601 | null;\n description: string | null;\n featuredImage: string | null;\n market: \"en\" | \"fr\" | \"it\";\n }>;\n \n // Backlinks data (see backlinksData below for structure)\n backlinksData: {\n total: number;\n dofollow: number;\n avgDomainRating: number;\n // ... (see backlinksData structure)\n };\n}\n```\n\n#### **G. `backlinksData` (BacklinksSnapshot - not compare-mode dependent)**\n\n**Structure** (from src/app/api/competitors/backlinks/overview/route.ts):\n```typescript\n{\n period: {\n start: ISO8601;\n end: ISO8601;\n label: string;\n };\n \n summary: {\n totalBacklinks: number;\n totalDofollow: number;\n avgDomainRating: number;\n totalTrafficReach: number;\n mostActiveCompetitor: { name: string; count: number } | null;\n };\n \n byCountry: Array<{\n country: string;\n count: number;\n dofollow: number;\n traffic: number;\n }>;\n \n byCompetitor: Array<{\n slug: string;\n name: string;\n faviconUrl: string | null;\n isOwnBrand: boolean;\n count: number;\n dofollow: number;\n avgDr: number;\n traffic: number;\n topCountries: Array<{ country: string; count: number }>;\n }>;\n \n recentBacklinks: Array<{\n id: number;\n url: string;\n domain: string;\n domainRating: number | null;\n traffic: number | null;\n country: string | null;\n category: \"press_release\" | \"advertorial\" | \"sponsored_article\" | \"guest_post\" | \"other\" | null;\n isDofollow: boolean;\n competitor: {\n slug: string;\n name: string;\n faviconUrl: string | null;\n };\n }>;\n}\n```\n\n#### **H. `insightsContent` (String, Text type)**\n\n**Format**: Rich text / HTML content\n\n**Storage**: As plain text field (not JSON)\n\n**Retrieval**: Stored in Settings table with key `\"monthly_insights_content\"` as JSON `{ content: string; updatedAt: ISO8601 }`\n\n#### **I. `newsData` (Optional, NewsSnapshot)**\n\n**Structure** (from src/app/api/insights/news/route.ts):\n```typescript\n{\n period: {\n year: number;\n month: number;\n label: string;\n };\n \n news: Array<{\n id: string;\n title: string;\n description: string;\n url: string;\n source: string;\n publishedDate: ISO8601;\n category: string; // \"seo\", \"medical\", \"industry\"\n }>;\n \n summary: {\n total: number;\n byCategory: Record;\n };\n}\n```\n\n---\n\n### **4. SETTINGS TABLE KEYS & STRUCTURE**\n\n**Model Location**: schema.prisma:367-373\n\n**Key Settings Used**:\n\n| Key | Value Type | Purpose |\n|-----|-----------|---------|\n| `monthly_insights_content` | JSON: `{ content: string; updatedAt: ISO8601 }` | Monthly insights/analysis text |\n| `seo-news-YYYY-MM` | JSON | Cached SEO news for specific month |\n| Various config keys | String/JSON | Other application settings |\n\n---\n\n### **5. REPORT GENERATION FLOW**\n\n**POST /api/reports/generate** (src/app/api/reports/generate/route.ts:36-232):\n\n1. **Input**: `{ year: number; month: number }`\n2. **Output**: Slug format `\"december-2025\"` (MONTH_NAMES[month-1]-year)\n3. **Execution**:\n - Fetches **dashboard** data for both M-1 and Y-1 via `/api/dashboard?compareMode=m-1|y-1`\n - Fetches **market** data for all 8 primary markets for both modes: `/api/market/{code}?compareMode=m-1|y-1`\n - Fetches **discover** data for both modes: `/api/discover?compareMode=m-1|y-1`\n - Fetches **LLM** data for both modes: `/api/llm?compareMode=m-1|y-1`\n - Fetches **competitors overview**: `/api/competitors/overview?period=last-month`\n - Fetches **backlinks overview**: `/api/competitors/backlinks/overview?period=YYYY-MM`\n - Fetches **competitor details** for each active competitor: `/api/competitors/{slug}?period=last-month`\n - Fetches **insights content**: `/api/insights/content`\n - Fetches **news**: `/api/insights/news?year={year}&month={month}`\n4. **Storage**: Creates or updates MonthlyReport with all JSON snapshots\n\n**Data Caching**: \n- In-memory cache (5 min TTL) for each API endpoint\n- Pre-generated report data takes precedence over fresh API calls\n- Force refresh available via `forceRefresh=true` parameter\n\n---\n\n### **6. ENVIRONMENT VARIABLES REQUIRED**\n\n- `DATABASE_URL` - PostgreSQL connection string\n- `INTERNAL_APP_URL` (optional) - Base URL for internal API calls (defaults to http://127.0.0.1:3000 in production)\n- `NODE_ENV` - production or development\n- `NEXTAUTH_*` - NextAuth.js configuration\n- Google Analytics & Search Console OAuth tokens (stored via NextAuth)\n- API credentials for ranking services (stored in ApiConfig table)\n\n---\n\n### **7. KEY FILE PATHS**\n\n| Purpose | Path |\n|---------|------|\n| Prisma Schema | `/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/prisma/schema.prisma` |\n| Type Definitions | `/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/types/index.ts` |\n| Competitor Types | `/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/types/competitors.ts` |\n| Report Provider (Context) | `/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/components/providers/ReportProvider.tsx` |\n| Dashboard API | `/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/dashboard/route.ts` |\n| Market API | `/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/market/[lang]/route.ts` |\n| Discover API | `/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/discover/route.ts` |\n| LLM API | `/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/llm/route.ts` |\n| Competitors Overview | `/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/competitors/overview/route.ts` |\n| Backlinks Overview | `/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/competitors/backlinks/overview/route.ts` |\n| Insights Content | `/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/insights/content/route.ts` |\n| Report Generation | `/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/reports/generate/route.ts` |\n| Report Retrieval | `/opt/projects/.dashboard-cinik-worktrees/tom-auto-populate/src/app/api/reports/[slug]/route.ts` |\n\n---\n\n### **8. COMPARE MODES & DUAL STORAGE PATTERN**\n\n**Pattern**: Dashboard data fields (dashboardData, marketsData, discoverData, llmData) store **BOTH** comparison modes in a single JSON object:\n\n```typescript\n{\n \"m-1\": { /* Data comparing to previous month */ },\n \"y-1\": { /* Data comparing to same month last year */ }\n}\n```\n\n**Frontend Access** (ReportProvider.tsx):\n- Context stores current `compareMode` ('m-1' | 'y-1')\n- Hooks like `useDashboardData()` automatically select the correct mode\n- Users can toggle between modes in the UI\n\n**Competitors & Backlinks**: These are **not** compare-mode dependent—they contain absolute data from the reporting period."}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":1176,"cache_read_input_tokens":73060,"output_tokens":5863,"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":1176},"inference_geo":"not_available","iterations":[{"input_tokens":5,"output_tokens":5863,"cache_read_input_tokens":73060,"cache_creation_input_tokens":1176,"cache_creation":{"ephemeral_5m_input_tokens":1176,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbpEyvsUUE4DZudDuBbFD","attributionAgent":"Explore","type":"assistant","uuid":"76cdd98a-74e9-40fc-ba7d-fc9b22a7b7d3","timestamp":"2026-06-07T16:49:34.714Z","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"}