{
  "id": "xXUnt2hL2FKxzOhBnkd3Z",
  "name": "MAM Series Checker",
  "nodes": [
    {
      "parameters": {
        "rule": {
          "interval": [
            {}
          ]
        }
      },
      "type": "n8n-nodes-base.scheduleTrigger",
      "typeVersion": 1.3,
      "position": [
        -832,
        -16
      ],
      "id": "279ca2c5-3c3e-4cd6-bc97-e43010fb693c",
      "name": "Schedule Trigger"
    },
    {
      "parameters": {
        "options": {}
      },
      "type": "n8n-nodes-base.splitInBatches",
      "typeVersion": 3,
      "position": [
        -192,
        -16
      ],
      "id": "2412dfa0-8362-4cc4-8a18-3f233d5338b2",
      "name": "Loop Over Items"
    },
    {
      "parameters": {
        "method": "POST",
        "url": "https://www.myanonamouse.net/tor/js/loadSearchJSONbasic.php",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "={\n  \"dlLink\": \"1\",\n  \"tor\": {\n    \"text\": \" {{ $json.series_name }} m4b\",\n    \"srchIn\": [\n      \"title\",\n      \"author\",\n      \"filenames\",\n      \"fileTypes\"\n    ],\n    \"main_cat\": [\n      \"13\"\n    ],\n    \"searchType\": \"all\",\n    \"sortType\": \"seedersDesc\"\n  }\n}",
        "options": {}
      },
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.3,
      "position": [
        48,
        0
      ],
      "id": "f387a918-881e-492c-b41a-1dc621e8e822",
      "name": "HTTP Request",
      "credentials": {
        "httpHeaderAuth": {
          "id": "G8eA8XeS9P5axwJd",
          "name": "mam cookie auth header"
        }
      }
    },
    {
      "parameters": {
        "fieldsToAggregate": {
          "fieldToAggregate": [
            {
              "fieldToAggregate": "book_name"
            }
          ]
        },
        "options": {}
      },
      "type": "n8n-nodes-base.aggregate",
      "typeVersion": 1,
      "position": [
        816,
        0
      ],
      "id": "019177aa-2c4f-4291-90f7-c58750033e77",
      "name": "Aggregate"
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "=You are a Librarian Agent tasked with reviewing potential new books that have been made available. Provide no commentary or additional information other than what is requested.\n\nWe are reviewing the series: {{ $('Loop Over Items').item.json.series_name }} by {{ $('Loop Over Items').item.json.author }}\n\nOur current library contains the following:\n{{ $json.book_name }}\n\nOur audiobook provider has the following avalible:\n{{ $('Aggregate Available Books').item.json.title }}\n\nProvide a json formatted list of books we are missing. If none, state \"No books missing\".",
        "batching": {}
      },
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "typeVersion": 1.9,
      "position": [
        976,
        0
      ],
      "id": "aef43627-3228-42ab-a2fe-9f4b50d1a855",
      "name": "Basic LLM Chain",
      "onError": "continueErrorOutput"
    },
    {
      "parameters": {
        "fieldToSplitOut": "data",
        "options": {
          "destinationFieldName": "data"
        }
      },
      "type": "n8n-nodes-base.splitOut",
      "typeVersion": 1,
      "position": [
        256,
        0
      ],
      "id": "a857682f-9e3d-4e87-8b06-699b9c8039c2",
      "name": "Split Out"
    },
    {
      "parameters": {
        "model": {
          "__rl": true,
          "value": "gemini_cli/gemini-2.5-flash",
          "mode": "list",
          "cachedResultName": "gemini_cli/gemini-2.5-flash"
        },
        "responsesApiEnabled": false,
        "options": {
          "responseFormat": "json_object",
          "maxRetries": 2
        }
      },
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1.3,
      "position": [
        976,
        208
      ],
      "id": "c4da46be-36bf-463e-bb4a-756ef57d24d5",
      "name": "OpenAI Chat Model",
      "credentials": {
        "openAiApi": {
          "id": "sxSUdecXdMfKPuTu",
          "name": "llm-proxy.ben.io"
        }
      }
    },
    {
      "parameters": {
        "fieldsToAggregate": {
          "fieldToAggregate": [
            {
              "fieldToAggregate": "data.title"
            },
            {
              "fieldToAggregate": "=data.dl",
              "renameField": true
            },
            {
              "fieldToAggregate": "data.id"
            },
            {
              "fieldToAggregate": "data.series_info"
            },
            {
              "fieldToAggregate": "data.author_info"
            }
          ]
        },
        "options": {}
      },
      "type": "n8n-nodes-base.aggregate",
      "typeVersion": 1,
      "position": [
        464,
        0
      ],
      "id": "d6f24deb-4863-41a7-a703-2c31e2363d45",
      "name": "Aggregate Available Books"
    },
    {
      "parameters": {
        "operation": "select",
        "schema": {
          "__rl": true,
          "value": "public",
          "mode": "list",
          "cachedResultName": "public"
        },
        "table": {
          "__rl": true,
          "value": "followed_series",
          "mode": "list",
          "cachedResultName": "followed_series"
        },
        "returnAll": true,
        "options": {}
      },
      "type": "n8n-nodes-base.postgres",
      "typeVersion": 2.6,
      "position": [
        -624,
        -16
      ],
      "id": "e7bc495c-a3e1-46b8-b0f1-ff49286344e7",
      "name": "Select Series",
      "credentials": {
        "postgres": {
          "id": "9grzZwW7Br6SzdV8",
          "name": "n8n-media"
        }
      }
    },
    {
      "parameters": {
        "operation": "select",
        "schema": {
          "__rl": true,
          "mode": "list",
          "value": "public"
        },
        "table": {
          "__rl": true,
          "value": "smb_general_books",
          "mode": "list",
          "cachedResultName": "smb_general_books"
        },
        "returnAll": true,
        "where": {
          "values": [
            {
              "column": "series_name",
              "value": "={{ $('Loop Over Items').item.json.series_name }}"
            }
          ]
        },
        "options": {}
      },
      "type": "n8n-nodes-base.postgres",
      "typeVersion": 2.6,
      "position": [
        656,
        0
      ],
      "id": "62be829f-6d74-4142-9420-eb4f6947df09",
      "name": "Select Book Titles",
      "executeOnce": true,
      "credentials": {
        "postgres": {
          "id": "9grzZwW7Br6SzdV8",
          "name": "n8n-media"
        }
      }
    },
    {
      "parameters": {
        "mode": "combine",
        "combineBy": "combineByPosition",
        "options": {}
      },
      "type": "n8n-nodes-base.merge",
      "typeVersion": 3.2,
      "position": [
        1328,
        0
      ],
      "id": "d8c36a24-7337-453f-b403-f5c631025096",
      "name": "Merge"
    },
    {
      "parameters": {
        "workflowId": {
          "__rl": true,
          "value": "kRZyX9H2uDHHncpE",
          "mode": "list",
          "cachedResultUrl": "/workflow/kRZyX9H2uDHHncpE",
          "cachedResultName": "MAM Transmission Manager"
        },
        "workflowInputs": {
          "mappingMode": "defineBelow",
          "value": {},
          "matchingColumns": [],
          "schema": [],
          "attemptToConvertTypes": false,
          "convertFieldsToString": true
        },
        "mode": "each",
        "options": {}
      },
      "type": "n8n-nodes-base.executeWorkflow",
      "typeVersion": 1.3,
      "position": [
        1728,
        0
      ],
      "id": "b6ec81b3-4f62-494e-9437-1a31c82a0299",
      "name": "Call 'MAM Transmission Manager'"
    },
    {
      "parameters": {
        "language": "pythonNative",
        "pythonCode": "# Output list\nresults = []\n\n# Access the input item\ninput_item = _items[0]['json']\n\n# Extract Lists\nmissing_books = input_item.get('data', [])\navailable_titles = input_item.get('title', [])\navailable_ids = input_item.get('id', [])\navailable_series_info = input_item.get('series_info', [])\navailable_author_info = input_item.get('author_info', [])\navailable_catnames = input_item.get('catname', []) # New: For category detection\navailable_tags = input_item.get('tags', [])       # New: For category detection\n\n# 1. Match missing titles to their IDs & Metadata\nfor book_title in missing_books:\n    # Normalize the target title\n    target_clean = str(book_title).strip()\n    \n    # Find index\n    found_index = -1\n    for i, title in enumerate(available_titles):\n        if str(title).strip() == target_clean:\n            found_index = i\n            break\n            \n    if found_index != -1:\n        # Get raw data\n        book_id = available_ids[found_index]\n        series_raw = available_series_info[found_index]\n        author_raw = available_author_info[found_index]\n        catname_raw = available_catnames[found_index] if i < len(available_catnames) else \"\"\n        tags_raw = available_tags[found_index] if i < len(available_tags) else \"\"\n        \n        # --- PARSING LOGIC ---\n        \n        # Parse Series\n        meta_series = \"Unknown\"\n        meta_book_num = \"0\"\n        \n        if isinstance(series_raw, str):\n            import json\n            try:\n                series_raw = json.loads(series_raw)\n            except:\n                pass\n\n        if isinstance(series_raw, dict):\n            keys = list(series_raw.keys())\n            if keys:\n                data = series_raw[keys[0]]\n                if isinstance(data, list) and len(data) >= 2:\n                    meta_series = str(data[0]).replace('&#039;', \"'\")\n                    meta_book_num = str(data[1])\n\n        # Parse Author\n        meta_author = \"Unknown\"\n        \n        if isinstance(author_raw, str):\n            import json\n            try:\n                author_raw = json.loads(author_raw)\n            except:\n                pass\n\n        if isinstance(author_raw, dict):\n            keys = list(author_raw.keys())\n            if keys:\n                meta_author = str(author_raw[keys[0]])\n\n        # --- CATEGORY DETECTION ---\n        # Check if \"Light Novel\" or \"Anime\" appears in category name or tags\n        is_anime = \"Light Novel\" in str(catname_raw) or \"anime\" in str(tags_raw).lower()\n        category = 'anime' if is_anime else 'general'\n\n        # Construct download link\n        full_url = f\"https://www.myanonamouse.net/tor/download.php?tid={book_id}\"\n        \n        results.append({\n            \"json\": {\n                # Metadata\n                \"meta_title\": target_clean,\n                \"meta_series\": meta_series,\n                \"meta_book_number\": meta_book_num,\n                \"meta_author\": meta_author,\n                \"mam_id\": book_id,\n                \"category\": category, # <--- Sending this to the DB now\n                \n                # Download Info\n                \"dl_link\": full_url,\n                \"torrent_hash\": \"PENDING\"\n            }\n        })\n\nreturn results"
      },
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        1520,
        0
      ],
      "id": "c7496e8c-e307-4659-bdd0-530cd5feeef3",
      "name": "Create Download Links"
    }
  ],
  "connections": {
    "Schedule Trigger": {
      "main": [
        [
          {
            "node": "Select Series",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Loop Over Items": {
      "main": [
        [],
        [
          {
            "node": "HTTP Request",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "HTTP Request": {
      "main": [
        [
          {
            "node": "Split Out",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Aggregate": {
      "main": [
        [
          {
            "node": "Basic LLM Chain",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Split Out": {
      "main": [
        [
          {
            "node": "Aggregate Available Books",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Basic LLM Chain",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Aggregate Available Books": {
      "main": [
        [
          {
            "node": "Select Book Titles",
            "type": "main",
            "index": 0
          },
          {
            "node": "Merge",
            "type": "main",
            "index": 1
          }
        ]
      ]
    },
    "Select Series": {
      "main": [
        [
          {
            "node": "Loop Over Items",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Select Book Titles": {
      "main": [
        [
          {
            "node": "Aggregate",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Basic LLM Chain": {
      "main": [
        [
          {
            "node": "Merge",
            "type": "main",
            "index": 0
          }
        ],
        []
      ]
    },
    "Merge": {
      "main": [
        [
          {
            "node": "Create Download Links",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Create Download Links": {
      "main": [
        [
          {
            "node": "Call 'MAM Transmission Manager'",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Call 'MAM Transmission Manager'": {
      "main": [
        []
      ]
    }
  },
  "settings": {
    "executionOrder": "v1",
    "availableInMCP": false
  },
  "triggerCount": 1,
  "versionId": "8a3af598-bd9e-48e1-a025-cb2059cfebbd",
  "owner": {
    "type": "personal",
    "projectId": "FeLO36wNUAcn61Wj",
    "projectName": "Ben W <admin@ben.io>",
    "personalEmail": "admin@ben.io"
  },
  "parentFolderId": "6tDyZCwqELStb6Ik",
  "isArchived": false
}