c3b452dbc4
- Added support for deduplication of orders based on the `email_message_id`, preventing duplicate entries during email intake. - Introduced the `displayContactName` utility to sanitize and format contact names, improving the display of order details by removing extraneous whitespace. - Updated relevant order-related components to utilize the new utility for consistent contact name rendering. - Enhanced tests to cover the new deduplication logic and the functionality of the `displayContactName` utility, ensuring robust behavior in various scenarios.
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I am looking for items where the description, name, or equivalent field is a match or high-confidence product match for: {{ $json.description }}\n\nCRITICAL MATCHING RULES:\n- Include exact matches.\n- Include close semantic variations of the exact same pack size (e.g., if targeting \"20L\", include matches for \"20 LT\" or \"20 Litre\").\n- STRIKTLY EXCLUDE different pack sizes or bulk configurations (e.g., if targeting \"20L\", do NOT match \"210L\", \"1000L\", \"20X500ML\", or \"12X1LT\").\n- Ignore minor specification differences like \"SF/CF4\" as long as the base product and pack size are the exact same.\n\nReturn a valid JSON object containing ONLY the arrays and the specific items that match this item based on the rules above.\n\nCRITICAL INSTRUCTIONS:\n- Output ONLY raw JSON. \n- DO NOT wrap the output in markdown blocks.\n- DO NOT include backticks (```).\n- DO NOT write any explanations, greetings, or conversational text. \n- If you write anything other than the raw JSON object, the system will break.\n\nData to filter:\n{{ JSON.stringify($json.ai_item_insights, null, 2) }}","hasOutputParser":true,"needsFallback":true,"options":{}},"type":"@n8n/n8n-nodes-langchain.agent","typeVersion":3.1,"position":[144,464],"id":"523116c3-ad4b-4380-bffc-0aba1d9399c8","name":"AI Agent1"},{"parameters":{"model":"MiniMax-M2.1","options":{}},"type":"@n8n/n8n-nodes-langchain.lmChatMinimax","typeVersion":1,"position":[64,688],"id":"4cada161-d25e-491e-8dac-f2f313671452","name":"MiniMax Chat Model2","credentials":{"minimaxApi":{"id":"kn97KHCrkyTm3v2g","name":"MiniMax account"}}},{"parameters":{"schemaType":"manual","inputSchema":"{\n \"type\": \"object\",\n \"properties\": {\n \"stock_list\": {\n \"type\": \"array\",\n \"description\": \"Exact matching items from the stock list. 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Model3","credentials":{"minimaxApi":{"id":"kn97KHCrkyTm3v2g","name":"MiniMax account"}}},{"parameters":{"jsCode":"const allSearch = $('Search order_items1').all();\nconsole.log(\"Search returned \" + allSearch.length + \" items\");\nif (allSearch.length > 0) {\n console.log(\"First item keys: \" + Object.keys(allSearch[0]).join(\", \"));\n console.log(\"First item id: \" + allSearch[0].id);\n console.log(\"First item description: \" + allSearch[0].description);\n}\n\nconst items = $('Search order_items1').all();\nconst llmOutput = ($input.all()[0] && $input.all()[0].json && $input.all()[0].json.output) || {\n stock_list: [],\n supplier_history: [],\n price_list: [],\n recent_quote: [],\n recent_order: [],\n};\n\nif (!items || items.length === 0) {\n console.log(\"WARN: no items returned from Search\");\n return [{ json: { _status: \"no_items\" } }];\n}\n\nconst src = items[0];\nconsole.log(\"Processing item: \" + (src.id || \"UNKNOWN\") + \" \" + (src.description || \"\"));\n\nreturn 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