{"type":"summary","summary":"Node-RED Production System: Phase 1-7 Implementation & Graphs Tab Debug","leafUuid":"8f8d7b91-df59-4504-85ab-36f098eb438f"}
{"type":"summary","summary":"Work Order Persistence + Anomaly Detection System","leafUuid":"9271a712-d58a-43d7-b147-b3dd03613753"}
{"type":"file-history-snapshot","messageId":"f50c224d-d681-48e0-8d13-6baf3644f360","snapshot":{"messageId":"f50c224d-d681-48e0-8d13-6baf3644f360","trackedFileBackups":{},"timestamp":"2025-11-29T20:22:09.442Z"},"isSnapshotUpdate":false}
{"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/mdares/Desktop","sessionId":"c31e2856-ff23-4bcb-b9c3-62f23cdda471","version":"2.0.55","gitBranch":"","type":"user","message":{"role":"user","content":"Hey claude, do you remember what we were working on?"},"uuid":"f50c224d-d681-48e0-8d13-6baf3644f360","timestamp":"2025-11-29T20:22:09.432Z","thinkingMetadata":{"level":"high","disabled":false,"triggers":[]},"todos":[]}
{"parentUuid":"f50c224d-d681-48e0-8d13-6baf3644f360","isSidechain":false,"userType":"external","cwd":"/home/mdares/Desktop","sessionId":"c31e2856-ff23-4bcb-b9c3-62f23cdda471","version":"2.0.55","gitBranch":"","message":{"model":"claude-sonnet-4-5-20250929","id":"msg_01PG5rpRdAcL3WciPwCAE5ey","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user is asking if I remember what we were working on. However, I don't have any context from previous conversations - each conversation session is independent. I should let them know that I don't have access to previous conversation history and ask them what they'd like to work on.\n\nI should be straightforward and helpful about this.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":9,"cache_creation_input_tokens":5127,"cache_read_input_tokens":12610,"cache_creation":{"ephemeral_5m_input_tokens":5127,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard"}},"requestId":"req_011CVcoZNZqKBNZzzgscTRKP","type":"assistant","uuid":"06bbb9ef-1505-403f-823f-96a4058cd746","timestamp":"2025-11-29T20:22:12.896Z"}
{"parentUuid":"06bbb9ef-1505-403f-823f-96a4058cd746","isSidechain":false,"userType":"external","cwd":"/home/mdares/Desktop","sessionId":"c31e2856-ff23-4bcb-b9c3-62f23cdda471","version":"2.0.55","gitBranch":"","message":{"model":"claude-sonnet-4-5-20250929","id":"msg_01PG5rpRdAcL3WciPwCAE5ey","type":"message","role":"assistant","content":[{"type":"text","text":"I don't have access to any previous conversation history - each session starts fresh for me. Could you remind me what you were working on? I'd be happy to pick up where you left off!"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":9,"cache_creation_input_tokens":5127,"cache_read_input_tokens":12610,"cache_creation":{"ephemeral_5m_input_tokens":5127,"ephemeral_1h_input_tokens":0},"output_tokens":119,"service_tier":"standard"}},"requestId":"req_011CVcoZNZqKBNZzzgscTRKP","type":"assistant","uuid":"975c58f0-44dc-4b77-98c6-2851c5265a4d","timestamp":"2025-11-29T20:22:13.418Z"}
{"type":"file-history-snapshot","messageId":"0ccc6936-4a22-4ccc-8e62-dbe887d961de","snapshot":{"messageId":"0ccc6936-4a22-4ccc-8e62-dbe887d961de","trackedFileBackups":{},"timestamp":"2025-11-29T20:26:31.522Z"},"isSnapshotUpdate":false}
{"parentUuid":"975c58f0-44dc-4b77-98c6-2851c5265a4d","isSidechain":false,"userType":"external","cwd":"/home/mdares/Desktop","sessionId":"c31e2856-ff23-4bcb-b9c3-62f23cdda471","version":"2.0.55","gitBranch":"","type":"user","message":{"role":"user","content":"OK, we are working on flows.json, we were implementing the most critical aspect of the entire dashboard, automatic anomalies detection. We started working on creating a table in the database, which we werent able to do, and then we were going to implement the ui/ux aspect so that real time alerts can be seen/attended. Can you take a look around, the flows.json is quite large so you can look only at key areas, get a feel for what was going on and we go from there? We're almost done with this software, so I ask that you please be careful, think about the implications of each actions, especially modifying existing wiring/functions. Take a second to think, if I change this, I'll be affecting a,b,c. Is this the best option? Let me take a step back and think of this. That type of behaviour please. I want you to really think about these changes. Now, if you cant find anything on our previous automatic anomaly implementation, I want you to think, in this context, what would be the best way in which we can implement this? What would be, according to industry, the most critical alerts that can have the highest impact for the client? Thanks Claude, we're almost there!"},"uuid":"0ccc6936-4a22-4ccc-8e62-dbe887d961de","timestamp":"2025-11-29T20:26:31.511Z","thinkingMetadata":{"level":"high","disabled":false,"triggers":[]},"todos":[]}
{"parentUuid":"0ccc6936-4a22-4ccc-8e62-dbe887d961de","isSidechain":false,"userType":"external","cwd":"/home/mdares/Desktop","sessionId":"c31e2856-ff23-4bcb-b9c3-62f23cdda471","version":"2.0.55","gitBranch":"","message":{"model":"claude-sonnet-4-5-20250929","id":"msg_0179VjpvxJck3mSbsDhh2YPy","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user is asking me to:\n1. Look around the codebase, particularly flows.json (which is large, so focus on key areas)\n2. Understand what was being done with automatic anomaly detection\n3. They tried to create a database table but weren't able to\n4. They want to implement UI/UX for real-time alerts\n5. Be very careful about changes - think about implications before modifying existing code\n6. If I can't find previous implementation, suggest the best approach for anomaly detection\n7. Think about what would be the most critical alerts for the client\n\nThis is a complex task that requires exploration. I should:\n1. First read the flows.json file to understand the system\n2. Look for any existing anomaly detection work\n3. Look for database schema/tables\n4. Understand the overall architecture\n5. Then provide thoughtful recommendations\n\nLet me start by exploring the codebase. I should use the Task tool with Explore agent since this is about understanding the codebase structure and finding information about anomaly detection.\n\nActually, let me first check what's in the current directory and then read flows.json to get a sense of the project.","signature":"EpcKCkYIChgCKkDHgyVeAuQA/dhn86IISpVdHR+ecn928I4enp9D/+PGxuHHYbXf3ARqbmJMme76SUonJMIX0dSzRncDXF3KWme+Egxdt6Sk/xb99cm13VcaDORAaqZ9RUwn0pS9eCIwlgJg3wPrh1x7zaDuWwkXjhyPvkrTatuBBvpq9t242LX1b65/AyonxplsDfDbHZk1Kv4IIo7UnvtkPMVp3chOmLA7h8nWmS0GSSCME8d4cHTxZWOKJSmPhN+xluX45CWcDBBBiHDaAV1qPN4zeEfqnlrrIJK0eb2c5oJTAKxd2qqC/huiiFrFEYN+leWYpjqmt0nZFTEyqRm1bo5UKQPAi4hbHiKmNAyqk2qhNJZNO1XMfahcg/YYmtbqrmaKzHoo9N6ZV3n2rHVD15vsZ/23FpunfI47RmjE7VTphJsbchH+bcMYSVgroQKFko0T37D+dE7vibH6EuQW3W+tqqq2OnGarkTeZyYZ6GD9Fq5vYp4Kb3Ys/26F0bzovSvt+2rfFGvaicD/SZo0iM9VK1sRNWXvpfTwpFZKjDGoJoOyf34rpwOGw3bkfGuUpjJEk6x3urXbNT2yk8VMvVRxYxdSI8yJp5Hv+NyAnyIXizTmbARnRpg4diyNqI24fuJwZAcNXjn+imxYHh7V0ag7HWlZaQA+5PRsUdwW8We/2G4+x+c2+b99OgGsmXM+b+yqfa137FPZenqqjHRpxU7jvRdFaP1nzZNsC+jwEyjzdbjoO2cG0QvTbeQCAvldkdmaLqJS1Zv+EkJM3C5e3DnySIzR6KmxsPLuqCEN0j4OJyhq51EdYShhSWksR+Uk7CenQW7wFBImeC6ylL6EG9FivwEgvXHJRn5GwFVOycc8xuvQ4L31nnhkylAW06DCaAo8EV426fzUc6HeRxIshvJmmfocwEC8uYGKnMv/UfR67LwCW+NwzXxUR7lBoVeQsS5LXusWz0PuLIrlgxJg1OMU5sEZ9DL5HZGacZdg9TUfN6EYURnkwdUSge4N8IIDIXMD1PqxyOihsSEL3gc8X0kht7V/l7mSDMjj0TgoeSSQiCB+UadOZ0XS6qMxqY6GZSbUrF37GjCbilVrE1aqDRYX3LqWZk8rxl/tLOCYNfjX32ekFt4GzM2pjq2GcwutHFjJUgIADlQzUcLNNTxMO5d2hJbEBHigX5jt37HjAX+YX9O3wLntqJq0bbh+oSam/q0B8/bivmYy69ht5szRBSqeYjQBdXCnmsZJx3893cxWbbA4sn4WujLM4QGOsgRHoM0HYwaHKyrp9QS1ks7gYTiKAHtSS7GrBNVROrznUx9cTYWXlKW8fhwYZJnvoLYWNGrwmNzUwSBNZx0i8q5WmPtNBOZCf4lLNMUQnsXBYeTcXiCYrqjAwPMsBmyC8h1XJNs9Z/HTCGeF9iriRBVNEEnKG7++gElDVN23iRbAA9TbVfwZHYtCwOMmXFiReoBaxrm5YLZZ+wZHtsGd1VqKS0zwnPiI4DWlaXgHsXTD+CSK/tS7OL2W9wsX7ead2yISp9ZdWqELs18CqFP8atHwq6PJfFBSaPoWetIm71ZM+B3uBGNFmdgFPYHuymLxZz3LtCzIuwPht2qp0WrKlQ8hts87+H5pW474w1F0xWgUHYyRJt/IQEHBYFTCIxq8jQCr9bKV5jreb+NoM5y7QdHgTWlzOtIyEIIvLv7JPs6GE0BJvIehqXrIuYg0thID35EQVV290arX6xgB"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":9,"cache_creation_input_tokens":392,"cache_read_input_tokens":17737,"cache_creation":{"ephemeral_5m_input_tokens":392,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard"}},"requestId":"req_011CVcothBJL7cwTUtPCTDfV","type":"assistant","uuid":"df1bd030-e347-4f6b-8be9-6833749074c9","timestamp":"2025-11-29T20:26:39.082Z"}
{"parentUuid":"df1bd030-e347-4f6b-8be9-6833749074c9","isSidechain":false,"userType":"external","cwd":"/home/mdares/Desktop","sessionId":"c31e2856-ff23-4bcb-b9c3-62f23cdda471","version":"2.0.55","gitBranch":"","message":{"model":"claude-sonnet-4-5-20250929","id":"msg_0179VjpvxJck3mSbsDhh2YPy","type":"message","role":"assistant","content":[{"type":"text","text":"I'll carefully explore the codebase to understand what you've been working on. Let me start by getting a sense of the project structure and then examining flows.json and any anomaly detection work."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":9,"cache_creation_input_tokens":392,"cache_read_input_tokens":17737,"cache_creation":{"ephemeral_5m_input_tokens":392,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard"}},"requestId":"req_011CVcothBJL7cwTUtPCTDfV","type":"assistant","uuid":"befadce9-f1d7-4fd1-8aaa-34f7a5943ebb","timestamp":"2025-11-29T20:26:40.027Z"}
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{"parentUuid":"e2b03a80-22a7-417f-9809-002ba654798a","isSidechain":false,"userType":"external","cwd":"/home/mdares/Desktop","sessionId":"c31e2856-ff23-4bcb-b9c3-62f23cdda471","version":"2.0.55","gitBranch":"","slug":"noble-strolling-jellyfish","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LBDCe4mrQUmdjjfWCLtqSS","type":"tool_result","content":"No files found"}]},"uuid":"59e8f16f-2ed1-4bb5-b638-df34154b8989","timestamp":"2025-11-29T20:26:42.932Z","toolUseResult":{"filenames":[],"durationMs":1179,"numFiles":0,"truncated":false}}
{"parentUuid":"59e8f16f-2ed1-4bb5-b638-df34154b8989","isSidechain":false,"userType":"external","cwd":"/home/mdares/Desktop","sessionId":"c31e2856-ff23-4bcb-b9c3-62f23cdda471","version":"2.0.55","gitBranch":"","slug":"noble-strolling-jellyfish","message":{"model":"claude-sonnet-4-5-20250929","id":"msg_01PpGsJKznUnNNDQd21oBLfj","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Interesting - I don't see flows.json in the current directory. Let me check if there are any other files or if the project is in a subdirectory. The user mentioned flows.json specifically, so it should be somewhere. Let me search more broadly.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":713,"cache_read_input_tokens":18129,"cache_creation":{"ephemeral_5m_input_tokens":713,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard"}},"requestId":"req_011CVcouXygi6GpuQbdBcgCd","type":"assistant","uuid":"00705318-6609-459a-8087-3dadd8805aaa","timestamp":"2025-11-29T20:26:46.956Z"}
{"parentUuid":"00705318-6609-459a-8087-3dadd8805aaa","isSidechain":false,"userType":"external","cwd":"/home/mdares/Desktop","sessionId":"c31e2856-ff23-4bcb-b9c3-62f23cdda471","version":"2.0.55","gitBranch":"","slug":"noble-strolling-jellyfish","message":{"model":"claude-sonnet-4-5-20250929","id":"msg_01PpGsJKznUnNNDQd21oBLfj","type":"message","role":"assistant","content":[{"type":"text","text":"I don't see flows.json in the current directory. Let me search more broadly:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":713,"cache_read_input_tokens":18129,"cache_creation":{"ephemeral_5m_input_tokens":713,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard"}},"requestId":"req_011CVcouXygi6GpuQbdBcgCd","type":"assistant","uuid":"6755cae6-dfa5-4225-aa0d-7faf8f686640","timestamp":"2025-11-29T20:26:47.354Z"}
{"parentUuid":"6755cae6-dfa5-4225-aa0d-7faf8f686640","isSidechain":false,"userType":"external","cwd":"/home/mdares/Desktop","sessionId":"c31e2856-ff23-4bcb-b9c3-62f23cdda471","version":"2.0.55","gitBranch":"","slug":"noble-strolling-jellyfish","message":{"model":"claude-sonnet-4-5-20250929","id":"msg_01PpGsJKznUnNNDQd21oBLfj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018FBTSDU3oYH7BChJgpPyf1","name":"Bash","input":{"command":"find . -name \"flows.json\" -o -name \"*.db\" -o -name \"*.sqlite\" 2>/dev/null | head -20","description":"Search for flows.json and database files"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":713,"cache_read_input_tokens":18129,"cache_creation":{"ephemeral_5m_input_tokens":713,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard"}},"requestId":"req_011CVcouXygi6GpuQbdBcgCd","type":"assistant","uuid":"6f95c43a-3eaf-42ca-953a-afe8d92a32ba","timestamp":"2025-11-29T20:26:48.269Z"}
{"parentUuid":"6f95c43a-3eaf-42ca-953a-afe8d92a32ba","isSidechain":false,"userType":"external","cwd":"/home/mdares/Desktop","sessionId":"c31e2856-ff23-4bcb-b9c3-62f23cdda471","version":"2.0.55","gitBranch":"","slug":"noble-strolling-jellyfish","message":{"model":"claude-sonnet-4-5-20250929","id":"msg_01PpGsJKznUnNNDQd21oBLfj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Q1vVKaAdQX6JacgF13n742","name":"Glob","input":{"pattern":"**/*"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":713,"cache_read_input_tokens":18129,"cache_creation":{"ephemeral_5m_input_tokens":713,"ephemeral_1h_input_tokens":0},"output_tokens":228,"service_tier":"standard"}},"requestId":"req_011CVcouXygi6GpuQbdBcgCd","type":"assistant","uuid":"94d005d8-8ca4-4993-8307-5a97b591c876","timestamp":"2025-11-29T20:26:48.486Z"}
{"parentUuid":"94d005d8-8ca4-4993-8307-5a97b591c876","isSidechain":false,"userType":"external","cwd":"/home/mdares/Desktop","sessionId":"c31e2856-ff23-4bcb-b9c3-62f23cdda471","version":"2.0.55","gitBranch":"","slug":"noble-strolling-jellyfish","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018FBTSDU3oYH7BChJgpPyf1","type":"tool_result","content":"","is_error":false}]},"uuid":"08dd91fc-f982-476b-8763-27e1df5e0e75","timestamp":"2025-11-29T20:26:48.671Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false}}
{"parentUuid":"08dd91fc-f982-476b-8763-27e1df5e0e75","isSidechain":false,"userType":"external","cwd":"/home/mdares/Desktop","sessionId":"c31e2856-ff23-4bcb-b9c3-62f23cdda471","version":"2.0.55","gitBranch":"","slug":"noble-strolling-jellyfish","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Q1vVKaAdQX6JacgF13n742","type":"tool_result","content":"/home/mdares/Desktop/.claude/settings.local.json"}]},"uuid":"adb6cd39-bc1e-4bf7-afbd-5b7a992c8a0d","timestamp":"2025-11-29T20:26:49.355Z","toolUseResult":{"filenames":["/home/mdares/Desktop/.claude/settings.local.json"],"durationMs":757,"numFiles":1,"truncated":false}}
{"parentUuid":"adb6cd39-bc1e-4bf7-afbd-5b7a992c8a0d","isSidechain":false,"userType":"external","cwd":"/home/mdares/Desktop","sessionId":"c31e2856-ff23-4bcb-b9c3-62f23cdda471","version":"2.0.55","gitBranch":"","slug":"noble-strolling-jellyfish","message":{"model":"claude-sonnet-4-5-20250929","id":"msg_014eux2xoHo6EKJgQuoatUUS","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"It seems the Desktop directory is essentially empty except for the .claude settings. The user mentioned they were working on flows.json - perhaps they're referring to a Node-RED flows.json file or a project that's in a different location?\n\nLet me ask the user where the flows.json file is located so I can examine it.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":419,"cache_read_input_tokens":18842,"cache_creation":{"ephemeral_5m_input_tokens":419,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"requestId":"req_011CVcov1DnMvgQsrDGVHYx2","type":"assistant","uuid":"403128e0-5c85-4b60-bce5-863f90e901ff","timestamp":"2025-11-29T20:26:53.637Z"}
{"parentUuid":"403128e0-5c85-4b60-bce5-863f90e901ff","isSidechain":false,"userType":"external","cwd":"/home/mdares/Desktop","sessionId":"c31e2856-ff23-4bcb-b9c3-62f23cdda471","version":"2.0.55","gitBranch":"","slug":"noble-strolling-jellyfish","message":{"model":"claude-sonnet-4-5-20250929","id":"msg_014eux2xoHo6EKJgQuoatUUS","type":"message","role":"assistant","content":[{"type":"text","text":"I don't see flows.json in the current Desktop directory. Could you let me know where the project files are located? Are they in a different directory, or perhaps this is a Node-RED project where flows.json might be in a specific location like `~/.node-red/`?\n\nOnce I know where to look, I'll carefully examine the flows.json and the existing implementation to understand:\n1. The current anomaly detection approach (if any)\n2. Database structure and the table creation issue you encountered\n3. The overall dashboard architecture\n4. Where real-time alerts would best fit\n\nThis way I can provide thoughtful recommendations without disrupting existing functionality."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":419,"cache_read_input_tokens":18842,"cache_creation":{"ephemeral_5m_input_tokens":419,"ephemeral_1h_input_tokens":0},"output_tokens":222,"service_tier":"standard"}},"requestId":"req_011CVcov1DnMvgQsrDGVHYx2","type":"assistant","uuid":"a3af1250-ee4b-47e0-9175-ba9d5f366d0e","timestamp":"2025-11-29T20:26:57.093Z"}
{"type":"file-history-snapshot","messageId":"481e4d3f-66d2-4643-917e-4bdcfed30f0f","snapshot":{"messageId":"481e4d3f-66d2-4643-917e-4bdcfed30f0f","trackedFileBackups":{},"timestamp":"2025-11-29T20:28:07.555Z"},"isSnapshotUpdate":false}
{"parentUuid":"a3af1250-ee4b-47e0-9175-ba9d5f366d0e","isSidechain":false,"userType":"external","cwd":"/home/mdares/Desktop","sessionId":"c31e2856-ff23-4bcb-b9c3-62f23cdda471","version":"2.0.55","gitBranch":"","slug":"noble-strolling-jellyfish","type":"user","message":{"role":"user","content":"This is the path: /home/mdares/.node-red/flows.json . Examine please, understand and if you have any questions, let me know"},"uuid":"481e4d3f-66d2-4643-917e-4bdcfed30f0f","timestamp":"2025-11-29T20:28:07.549Z","thinkingMetadata":{"level":"high","disabled":false,"triggers":[]},"todos":[]}
{"parentUuid":"481e4d3f-66d2-4643-917e-4bdcfed30f0f","isSidechain":false,"userType":"external","cwd":"/home/mdares/Desktop","sessionId":"c31e2856-ff23-4bcb-b9c3-62f23cdda471","version":"2.0.55","gitBranch":"","slug":"noble-strolling-jellyfish","message":{"model":"claude-sonnet-4-5-20250929","id":"msg_01VAFW8V5bdQB5ZBfsPY6JDW","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user has provided the path to the flows.json file: /home/mdares/.node-red/flows.json\n\nThis is a Node-RED project. Let me read the flows.json file to understand the dashboard and what's been implemented. Since the user mentioned it's quite large, I should read it carefully and look for key areas related to:\n1. Anomaly detection\n2. Database operations\n3. Alerts/notifications\n4. Dashboard UI components\n\nLet me read the file first.","signature":"EtUECkYIChgCKkDYovX0xr00KJXC3aJWZ3Ho4yIDr/fzSL1IjfZfgwxJ/OOjgXV5eVTkd2F+uiyVvGb1YpeVrUGqeI+xj4Nlj1g4Egxw/Qz83l4zvWx7absaDMsIcItovZ3rWTi49iIwbu6oaB3qrIWl/G6D1xkf4JC0bzk42ECHJZqRp1pFHMUltq6KZEk8syxMXdPgkeXpKrwDBaE5Llwe5skX9iRqZ0VBkzyruiEGDp6xxXdmjXA1rer6FrCqIoAz9DSI+LjGxXJjyZN/sai3EV5UkNmlqtSWNVM7/nwJG5XBZr2QIXWI5pvhp2TWodRrzd+m4Q+jWqqDToU/YjKqbOc/ZCbYYn8hZeiNAgsSYI0X7GvDrj7bUaqxafNKQn3yTQMD10T4W+yrZCIwoRRv5qtxzY8Hij1j1idru4cj9xrbRmNi7tJ8RqAMMLa3Npf0wZEZendA6QOEwW1gq5iMaaZRv8V9hNnvhU80pW4i/5Y/kD7Ou4e1woq4fJgyP3p31a27G1dS/QSIFzHyisrAkR7UezRupCll8f9n6sbw3Z+x8gBVpudoCxiP/l22jzdqSMvQRcjE8g9NEwezeNnVAXz1iU1GnPeQeEBEMfPyJPBNxzNEXbY1F0rJGCM9zpzYAna+bVhM5lZb/7O4L0JNA7jM4KrS0zqFvw/hpIkUUYJVedw0i8Gjzdm7jrNAHsX38SHbR0Ki6IxfyHWGUcQ3dDvda8orLtzegpF31kJzsrTahylbm+kDuvCPJjJ/C3xfphNDuiJTiz6bvfQs25pfLsmZmZi1GAE="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":9,"cache_creation_input_tokens":263,"cache_read_input_tokens":19261,"cache_creation":{"ephemeral_5m_input_tokens":263,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard"}},"requestId":"req_011CVcp1mooLRXM9H18v67Nz","type":"assistant","uuid":"81fefba1-1ca8-455d-8a9d-3eb88aad40ad","timestamp":"2025-11-29T20:28:12.442Z"}
{"parentUuid":"81fefba1-1ca8-455d-8a9d-3eb88aad40ad","isSidechain":false,"userType":"external","cwd":"/home/mdares/Desktop","sessionId":"c31e2856-ff23-4bcb-b9c3-62f23cdda471","version":"2.0.55","gitBranch":"","slug":"noble-strolling-jellyfish","message":{"model":"claude-sonnet-4-5-20250929","id":"msg_01VAFW8V5bdQB5ZBfsPY6JDW","type":"message","role":"assistant","content":[{"type":"text","text":"I'll examine the flows.json file now. Let me read it to understand the current implementation:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":9,"cache_creation_input_tokens":263,"cache_read_input_tokens":19261,"cache_creation":{"ephemeral_5m_input_tokens":263,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard"}},"requestId":"req_011CVcp1mooLRXM9H18v67Nz","type":"assistant","uuid":"da3bb8f5-e851-4627-a4f3-8ab39426b904","timestamp":"2025-11-29T20:28:12.833Z"}
{"parentUuid":"da3bb8f5-e851-4627-a4f3-8ab39426b904","isSidechain":false,"userType":"external","cwd":"/home/mdares/Desktop","sessionId":"c31e2856-ff23-4bcb-b9c3-62f23cdda471","version":"2.0.55","gitBranch":"","slug":"noble-strolling-jellyfish","message":{"model":"claude-sonnet-4-5-20250929","id":"msg_01VAFW8V5bdQB5ZBfsPY6JDW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NvV24XHFbm9qumvauZrPi9","name":"Read","input":{"file_path":"/home/mdares/.node-red/flows.json"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":9,"cache_creation_input_tokens":263,"cache_read_input_tokens":19261,"cache_creation":{"ephemeral_5m_input_tokens":263,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard"}},"requestId":"req_011CVcp1mooLRXM9H18v67Nz","type":"assistant","uuid":"477b16a7-f669-4f3e-a017-917f72b711e1","timestamp":"2025-11-29T20:28:13.180Z"}
{"parentUuid":"477b16a7-f669-4f3e-a017-917f72b711e1","isSidechain":false,"userType":"external","cwd":"/home/mdares/Desktop","sessionId":"c31e2856-ff23-4bcb-b9c3-62f23cdda471","version":"2.0.55","gitBranch":"","slug":"noble-strolling-jellyfish","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"File content (87261 tokens) exceeds maximum allowed tokens (25000). Please use offset and limit parameters to read specific portions of the file, or use the GrepTool to search for specific content.","is_error":true,"tool_use_id":"toolu_01NvV24XHFbm9qumvauZrPi9"}]},"uuid":"e3900f1e-75e1-4660-b928-628f06727431","timestamp":"2025-11-29T20:28:16.340Z","toolUseResult":"Error: File content (87261 tokens) exceeds maximum allowed tokens (25000). Please use offset and limit parameters to read specific portions of the file, or use the GrepTool to search for specific content."}
{"parentUuid":"e3900f1e-75e1-4660-b928-628f06727431","isSidechain":false,"userType":"external","cwd":"/home/mdares/Desktop","sessionId":"c31e2856-ff23-4bcb-b9c3-62f23cdda471","version":"2.0.55","gitBranch":"","slug":"noble-strolling-jellyfish","message":{"model":"claude-sonnet-4-5-20250929","id":"msg_011P3gAvmUGCL155uQuhp6fX","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The file is very large (87261 tokens). I need to search for specific content. Let me use Grep to search for relevant keywords:\n- anomaly\n- alert\n- database\n- table creation\n- detection\n\nLet me search for these patterns to understand what's been implemented.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":375,"cache_read_input_tokens":19524,"cache_creation":{"ephemeral_5m_input_tokens":375,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard"}},"requestId":"req_011CVcp2R7P4zjP8HUJQq9rW","type":"assistant","uuid":"67562324-cfe7-4787-a847-90947179fcfa","timestamp":"2025-11-29T20:28:19.805Z"}
{"parentUuid":"67562324-cfe7-4787-a847-90947179fcfa","isSidechain":false,"userType":"external","cwd":"/home/mdares/Desktop","sessionId":"c31e2856-ff23-4bcb-b9c3-62f23cdda471","version":"2.0.55","gitBranch":"","slug":"noble-strolling-jellyfish","message":{"model":"claude-sonnet-4-5-20250929","id":"msg_011P3gAvmUGCL155uQuhp6fX","type":"message","role":"assistant","content":[{"type":"text","text":"The file is quite large. Let me search for specific areas related to anomaly detection and alerts:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":375,"cache_read_input_tokens":19524,"cache_creation":{"ephemeral_5m_input_tokens":375,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard"}},"requestId":"req_011CVcp2R7P4zjP8HUJQq9rW","type":"assistant","uuid":"69abbecd-84c5-46a7-82c1-344f188c1dff","timestamp":"2025-11-29T20:28:20.392Z"}
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{"parentUuid":"6716b893-13d0-4bdb-a561-200d9700d748","isSidechain":false,"userType":"external","cwd":"/home/mdares/Desktop","sessionId":"c31e2856-ff23-4bcb-b9c3-62f23cdda471","version":"2.0.55","gitBranch":"","slug":"noble-strolling-jellyfish","message":{"model":"claude-sonnet-4-5-20250929","id":"msg_01CmPL7mjmTuKKTtzBWVWwA2","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Great! I found some very useful information:\n\n1. **Anomaly Detection**: There's already an anomaly detector node (`anomaly_detector_node_id`) and related infrastructure:\n - `Anomaly Detector` function node\n - `anomaly_split_node_id` - splits DB inserts\n - `anomaly_mysql_node_id` - MySQL node for logging to database\n - `anomaly_db_debug_node_id` - debug node\n - A button to verify/create the `anomaly_events` table\n - Functions to check if table exists and create it\n\n2. **Alerts**: There's an alert system:\n - Alerts tab/group in the UI\n - Alert template\n - `alert_process_function` - processes alerts for DB\n - `alert_insert_mysql` - logs alerts to database\n - Table structure mentioned: alerts_log table with id, timestamp, alert_type, description, created_at\n\n3. **Database**: MySQL is being used\n\nLet me get more details on the actual code in these nodes to understand what's implemented and what's missing.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":2684,"cache_read_input_tokens":19899,"cache_creation":{"ephemeral_5m_input_tokens":2684,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"requestId":"req_011CVcp3aMn3ssH3jpgm9F2c","type":"assistant","uuid":"d7910b41-bfbd-4762-8867-f35e79e6537f","timestamp":"2025-11-29T20:28:39.845Z"}
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{"parentUuid":"7e56b7f7-38b0-4f0e-8497-6f42585751d3","isSidechain":false,"userType":"external","cwd":"/home/mdares/Desktop","sessionId":"c31e2856-ff23-4bcb-b9c3-62f23cdda471","version":"2.0.55","gitBranch":"","slug":"noble-strolling-jellyfish","message":{"model":"claude-sonnet-4-5-20250929","id":"msg_01W8SyMKjx9YQPzxcHjc4NUb","type":"message","role":"assistant","content":[{"type":"text","text":"The function code is being omitted. Let me read the specific sections:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1703,"cache_read_input_tokens":22583,"cache_creation":{"ephemeral_5m_input_tokens":1703,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard"}},"requestId":"req_011CVcp4wKPK9So8iTGqg4j9","type":"assistant","uuid":"ece05824-db6b-4633-bef9-29079ee627d8","timestamp":"2025-11-29T20:28:54.760Z"}
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{"parentUuid":"23267d70-ec97-4aa9-af04-8c72f9b0bfca","isSidechain":false,"userType":"external","cwd":"/home/mdares/Desktop","sessionId":"c31e2856-ff23-4bcb-b9c3-62f23cdda471","version":"2.0.55","gitBranch":"","slug":"noble-strolling-jellyfish","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015BdpryE8EhgNdN7b853ieu","type":"tool_result","content":" 1836ā \"id\": \"anomaly_detector_node_id\",\n 1837ā \"type\": \"function\",\n 1838ā \"z\": \"cac3a4383120cb57\",\n 1839ā \"name\": \"Anomaly Detector\",\n 1840ā \"func\": \"// ============================================================\\n// ANOMALY DETECTOR\\n// Detects production anomalies in real-time\\n// ============================================================\\n\\nconst cycle = msg.cycle || {};\\nconst kpis = msg.kpis || {};\\nconst activeOrder = global.get(\\\"activeWorkOrder\\\") || {};\\n\\n// Must have active work order to detect anomalies\\nif (!activeOrder.id) {\\n return null;\\n}\\n\\nconst theoreticalCycleTime = Number(activeOrder.cycleTime) || 0;\\nconst now = Date.now();\\n\\n// Get or initialize anomaly tracking state\\nlet anomalyState = global.get(\\\"anomalyState\\\") || {\\n lastCycleTime: now,\\n activeStoppageEvent: null\\n};\\n\\nconst detectedAnomalies = [];\\n\\n// ============================================================\\n// 1. SLOW CYCLE DETECTION\\n// Trigger: Actual cycle time > 1.5x theoretical\\n// ============================================================\\nif (theoreticalCycleTime > 0) {\\n const timeSinceLastCycle = now - anomalyState.lastCycleTime;\\n const actualCycleTime = timeSinceLastCycle / 1000; // Convert to seconds\\n const threshold = theoreticalCycleTime * 1.5;\\n\\n if (actualCycleTime > threshold && anomalyState.lastCycleTime > 0) {\\n const deltaPercent = ((actualCycleTime - theoreticalCycleTime) / theoreticalCycleTime) * 100;\\n\\n // Determine severity\\n let severity = 'warning';\\n if (actualCycleTime > theoreticalCycleTime * 2.0) {\\n severity = 'critical'; // 100%+ slower\\n }\\n\\n detectedAnomalies.push({\\n anomaly_type: 'slow-cycle',\\n severity: severity,\\n title: `Slow Cycle Detected`,\\n description: `Cycle took ${actualCycleTime.toFixed(1)}s (${deltaPercent.toFixed(0)}% slower than expected ${theoreticalCycleTime}s)`,\\n data: {\\n actual_cycle_time: actualCycleTime,\\n theoretical_cycle_time: theoreticalCycleTime,\\n delta_percent: Math.round(deltaPercent),\\n threshold_multiplier: actualCycleTime / theoreticalCycleTime\\n },\\n kpi_snapshot: {\\n oee: kpis.oee || 0,\\n availability: kpis.availability || 0,\\n performance: kpis.performance || 0,\\n quality: kpis.quality || 0\\n },\\n work_order_id: activeOrder.id,\\n cycle_count: cycle.cycles || 0,\\n timestamp: now\\n });\\n\\n node.warn(`[ANOMALY] Slow cycle: ${actualCycleTime.toFixed(1)}s (expected ${theoreticalCycleTime}s)`);\\n }\\n}\\n\\n// ============================================================\\n// 2. PRODUCTION STOPPAGE DETECTION\\n// Trigger: No cycle in > 3x theoretical cycle time\\n// ============================================================\\nif (theoreticalCycleTime > 0) {\\n const timeSinceLastCycle = now - anomalyState.lastCycleTime;\\n const stoppageThreshold = theoreticalCycleTime * 3 * 1000; // Convert to ms\\n\\n // If we have an active stoppage event and a new cycle arrived, resolve it\\n if (anomalyState.activeStoppageEvent) {\\n // Cycle resumed - mark stoppage as resolved\\n anomalyState.activeStoppageEvent.resolved_at = now;\\n anomalyState.activeStoppageEvent.auto_resolved = true;\\n anomalyState.activeStoppageEvent.status = 'resolved';\\n\\n const stoppageDuration = (now - anomalyState.activeStoppageEvent.timestamp) / 1000;\\n node.warn(`[ANOMALY] Production resumed after ${stoppageDuration.toFixed(0)}s stoppage`);\\n\\n // Send resolution event\\n detectedAnomalies.push(anomalyState.activeStoppageEvent);\\n anomalyState.activeStoppageEvent = null;\\n }\\n\\n // Check if production has stopped (only if no active stoppage event)\\n if (!anomalyState.activeStoppageEvent && timeSinceLastCycle > stoppageThreshold && anomalyState.lastCycleTime > 0) {\\n const stoppageSeconds = timeSinceLastCycle / 1000;\\n\\n // Determine severity\\n let severity = 'warning';\\n if (stoppageSeconds > theoreticalCycleTime * 5) {\\n severity = 'critical'; // Stopped for 5x+ theoretical time\\n }\\n\\n const stoppageEvent = {\\n anomaly_type: 'production-stopped',\\n severity: severity,\\n title: `Production Stoppage`,\\n description: `No cycles detected for ${stoppageSeconds.toFixed(0)}s (expected cycle every ${theoreticalCycleTime}s)`,\\n data: {\\n stoppage_duration_seconds: Math.round(stoppageSeconds),\\n theoretical_cycle_time: theoreticalCycleTime,\\n last_cycle_timestamp: anomalyState.lastCycleTime,\\n threshold_multiplier: stoppageSeconds / theoreticalCycleTime\\n },\\n kpi_snapshot: {\\n oee: kpis.oee || 0,\\n availability: kpis.availability || 0,\\n performance: kpis.performance || 0,\\n quality: kpis.quality || 0\\n },\\n work_order_id: activeOrder.id,\\n cycle_count: cycle.cycles || 0,\\n timestamp: now,\\n status: 'active'\\n };\\n\\n detectedAnomalies.push(stoppageEvent);\\n anomalyState.activeStoppageEvent = stoppageEvent;\\n\\n node.warn(`[ANOMALY] Production stopped: ${stoppageSeconds.toFixed(0)}s since last cycle`);\\n }\\n}\\n\\n// Update last cycle time for next iteration\\nanomalyState.lastCycleTime = now;\\nglobal.set(\\\"anomalyState\\\", anomalyState);\\n\\n// ============================================================\\n// OUTPUT\\n// ============================================================\\nif (detectedAnomalies.length > 0) {\\n node.warn(`[ANOMALY DETECTOR] Detected ${detectedAnomalies.length} anomaly/ies`);\\n\\n return {\\n topic: \\\"anomaly-detected\\\",\\n payload: detectedAnomalies,\\n originalMsg: msg // Pass through original message for other flows\\n };\\n}\\n\\nreturn null; // No anomalies detected\\n\",\n 1841ā \"outputs\": 1,\n 1842ā \"timeout\": 0,\n 1843ā \"noerr\": 0,\n 1844ā \"initialize\": \"\",\n 1845ā \"finalize\": \"\",\n 1846ā \"libs\": [],\n 1847ā \"x\": 850,\n 1848ā \"y\": 300,\n 1849ā \"wires\": [\n 1850ā [\n 1851ā \"event_logger_node_id\"\n 1852ā ]\n 1853ā ]\n 1854ā },\n 1855ā {\n 1856ā \"id\": \"event_logger_node_id\",\n 1857ā \"type\": \"function\",\n 1858ā \"z\": \"cac3a4383120cb57\",\n 1859ā \"name\": \"Event Logger\",\n 1860ā \"func\": \"// ============================================================\\n// EVENT LOGGER\\n// Deduplicates and logs anomaly events to database\\n// ============================================================\\n\\nconst anomalies = msg.payload || [];\\n\\nif (!Array.isArray(anomalies) || anomalies.length === 0) {\\n return null;\\n}\\n\\n// Get or initialize active anomalies list\\nlet activeAnomalies = global.get(\\\"activeAnomalies\\\") || [];\\nconst now = Date.now();\\nconst DEDUP_WINDOW = 5 * 60 * 1000; // 5 minutes\\n\\nconst dbInserts = [];\\nconst uiUpdates = [];\\n\\nanomalies.forEach(anomaly => {\\n // ============================================================\\n // DEDUPLICATION LOGIC\\n // Don't create new event if same type exists in last 5 minutes\\n // ============================================================\\n const existingIndex = activeAnomalies.findIndex(existing =>\\n existing.anomaly_type === anomaly.anomaly_type &&\\n existing.work_order_id === anomaly.work_order_id &&\\n existing.status === 'active' &&\\n (now - existing.timestamp) < DEDUP_WINDOW\\n );\\n\\n if (existingIndex !== -1) {\\n // Update existing event\\n const existing = activeAnomalies[existingIndex];\\n existing.occurrence_count = (existing.occurrence_count || 1) + 1;\\n existing.last_occurrence = now;\\n\\n // Update in database\\n const updateQuery = `UPDATE anomaly_events\\n SET occurrence_count = ?, last_occurrence = ?\\n WHERE event_id = ?`;\\n\\n dbInserts.push({\\n topic: updateQuery,\\n payload: [existing.occurrence_count, existing.last_occurrence, existing.event_id]\\n });\\n\\n node.warn(`[EVENT LOGGER] Updated existing ${anomaly.anomaly_type} event (occurrence #${existing.occurrence_count})`);\\n\\n } else if (anomaly.status === 'resolved') {\\n // ============================================================\\n // RESOLVE EVENT\\n // ============================================================\\n const resolveIndex = activeAnomalies.findIndex(existing =>\\n existing.anomaly_type === anomaly.anomaly_type &&\\n existing.work_order_id === anomaly.work_order_id &&\\n existing.status === 'active'\\n );\\n\\n if (resolveIndex !== -1) {\\n const existing = activeAnomalies[resolveIndex];\\n existing.status = 'resolved';\\n existing.resolved_at = anomaly.resolved_at || now;\\n existing.auto_resolved = anomaly.auto_resolved || false;\\n\\n // Update in database\\n const resolveQuery = `UPDATE anomaly_events\\n SET status = 'resolved', resolved_at = ?, auto_resolved = ?\\n WHERE event_id = ?`;\\n\\n dbInserts.push({\\n topic: resolveQuery,\\n payload: [existing.resolved_at, existing.auto_resolved, existing.event_id]\\n });\\n\\n // Remove from active list\\n activeAnomalies.splice(resolveIndex, 1);\\n\\n node.warn(`[EVENT LOGGER] Resolved ${anomaly.anomaly_type} event (auto: ${existing.auto_resolved})`);\\n\\n uiUpdates.push({\\n event_id: existing.event_id,\\n status: 'resolved'\\n });\\n }\\n\\n } else {\\n // ============================================================\\n // NEW EVENT\\n // ============================================================\\n const insertQuery = `INSERT INTO anomaly_events\\n (timestamp, work_order_id, anomaly_type, severity, title, description,\\n data_json, kpi_snapshot_json, status, cycle_count, occurrence_count, last_occurrence)\\n VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)`;\\n\\n const dataJson = JSON.stringify(anomaly.data || {});\\n const kpiJson = JSON.stringify(anomaly.kpi_snapshot || {});\\n\\n dbInserts.push({\\n topic: insertQuery,\\n payload: [\\n anomaly.timestamp,\\n anomaly.work_order_id,\\n anomaly.anomaly_type,\\n anomaly.severity,\\n anomaly.title,\\n anomaly.description,\\n dataJson,\\n kpiJson,\\n 'active',\\n anomaly.cycle_count,\\n 1, // occurrence_count\\n anomaly.timestamp // last_occurrence\\n ],\\n _storeEventId: true, // Flag to get generated event_id\\n _anomaly: anomaly // Keep reference for later\\n });\\n\\n node.warn(`[EVENT LOGGER] New ${anomaly.anomaly_type} event: ${anomaly.title}`);\\n }\\n});\\n\\n// Save active anomalies to global context\\nglobal.set(\\\"activeAnomalies\\\", activeAnomalies);\\n\\n// ============================================================\\n// OUTPUT\\n// ============================================================\\n// Output 1: Database inserts (to mysql node)\\n// Output 2: UI updates (to Home/Alerts tabs)\\n\\nif (dbInserts.length > 0) {\\n // Send each insert as a separate message\\n return [dbInserts, {\\n topic: \\\"anomaly-ui-update\\\",\\n payload: {\\n activeCount: activeAnomalies.length,\\n activeAnomalies: activeAnomalies,\\n updates: uiUpdates\\n }\\n }];\\n} else {\\n return [null, {\\n topic: \\\"anomaly-ui-update\\\",\\n payload: {\\n activeCount: activeAnomalies.length,\\n activeAnomalies: activeAnomalies,\\n updates: uiUpdates\\n }\\n }];\\n}\\n\",\n 1861ā \"outputs\": 2,\n 1862ā \"timeout\": 0,\n 1863ā \"noerr\": 0,\n 1864ā \"initialize\": \"\",\n 1865ā \"finalize\": \"\",\n 1866ā \"libs\": [],\n 1867ā \"x\": 1050,\n 1868ā \"y\": 300,\n 1869ā \"wires\": [\n 1870ā [\n 1871ā \"anomaly_split_node_id\"\n 1872ā ],\n 1873ā []\n 1874ā ]\n 1875ā },\n 1876ā {\n 1877ā \"id\": \"anomaly_split_node_id\",\n 1878ā \"type\": \"split\",\n 1879ā \"z\": \"cac3a4383120cb57\",\n 1880ā \"name\": \"Split DB Inserts\",\n 1881ā \"splt\": \"\\\\n\",\n 1882ā \"spltType\": \"str\",\n 1883ā \"arraySplt\": 1,\n 1884ā \"arraySpltType\": \"len\",\n 1885ā \"stream\": false,\n\n
Select a manufacturer and mold from the dropdowns above.
\\nCan't find the mold you're looking for?
\\n \\n| \\n | ID | \\nSKU | \\nTARGET | \\nGOOD | \\nSCRAP | \\nPROGRESS | \\nSTATUS | \\nLAST UPDATE | \\n
|---|
Select a manufacturer and mold from the dropdowns above.
\\nCan't find the mold you're looking for?
\\n \\n| \\n | ID | \\nSKU | \\nTARGET | \\nGOOD | \\nSCRAP | \\nPROGRESS | \\nSTATUS | \\nLAST UPDATE | \\n
|---|
Can't find the mold you're looking for?
\n \nAlert when OEE drops below this threshold. Default: 90%
\nCan't find the mold you're looking for?
\n \nCan't find the mold you're looking for?
\n \nCan't find the mold you're looking for?
\n \n{{ resumePrompt.id }}
\\n\\n {{ resumePrompt.goodParts }} of {{ resumePrompt.targetQty }} parts completed\\n ({{ resumePrompt.progressPercent }}%)\\n
\\nCycle Count: {{ resumePrompt.cycleCount }}
\\n\\n{{ scrapPrompt.orderId }}
\\nProduced {{ scrapPrompt.produced }} of {{ scrapPrompt.target }} pieces
\\n\\nThis interface tracks Overall Equipment Effectiveness metrics, production progress, and incident logging for injection molding operations. Navigate between tabs using the sidebar to access work orders, real-time monitoring, performance graphs, incident reporting, and machine configuration.
\\nGo to the Work Orders tab and upload an Excel file with your work orders, or select from existing orders in the table. Click Load to activate a work order, then navigate to the Home tab where you'll see the current work order details. Before starting production, configure your mold settings in the Settings tab by selecting a mold preset or entering cavity counts manually.
\\nOn the Home tab, press the START button to begin production. The system tracks cycle counts, good parts, scrap, and progress toward your target quantity. Press STOP to pause production. Monitor real-time KPIs including OEE, Availability, Performance, and Quality metrics displayed on the dashboard.
\\nUse the Alerts tab to record production incidents. Quick-log common issues with preset buttons like Material Out, Machine Stopped, or Emergency Stop. For detailed logging, select an alert type from the dropdown, add notes, and submit. All incidents are timestamped and contribute to availability and OEE calculations.
\\nIn the Settings tab, use the Mold Presets section to search for your mold by manufacturer and name. Select a preset to automatically load cavity counts, or manually adjust the Mold Configuration fields below. If your mold isn't available, use the Add Mold button in the Integrations section to create a new preset with manufacturer, name, and cavity details.
\\nThe Graphs tab displays historical OEE trends broken down by Availability, Performance, and Quality. Use these charts to identify patterns, track improvements, and diagnose recurring issues affecting your production efficiency.
\\nSelect a manufacturer and mold from the dropdowns above.
\\nCan't find the mold you're looking for?
\\n \\n| \\n | ID | \\nSKU | \\nTARGET | \\nGOOD | \\nSCRAP | \\nPROGRESS | \\nSTATUS | \\nLAST UPDATE | \\n
|---|
No active alerts
\\nAll systems operating normally
\\n{{anomaly.description}}
\\n{{formatTimestamp(anomaly.timestamp)}}
\\n{{popup.description}}
\\n \\nNo active alerts
\\nAll systems operating normally
\\n{{anomaly.description}}
\\n{{formatTimestamp(anomaly.timestamp)}}
\\n{{popup.description}}
\\n \\nNo active alerts
\\nAll systems operating normally
\\n{{anomaly.description}}
\\n{{formatTimestamp(anomaly.timestamp)}}
\\n{{popup.description}}
\\n \\n{{ resumePrompt.id }}
\\n\\n {{ resumePrompt.goodParts }} of {{ resumePrompt.targetQty }} parts completed\\n ({{ resumePrompt.progressPercent }}%)\\n
\\nCycle Count: {{ resumePrompt.cycleCount }}
\\n\\n{{ scrapPrompt.orderId }}
\\nProduced {{ scrapPrompt.produced }} of {{ scrapPrompt.target }} pieces
\\n\\nThis interface tracks Overall Equipment Effectiveness metrics, production progress, and incident logging for injection molding operations. Navigate between tabs using the sidebar to access work orders, real-time monitoring, performance graphs, incident reporting, and machine configuration.
\\nGo to the Work Orders tab and upload an Excel file with your work orders, or select from existing orders in the table. Click Load to activate a work order, then navigate to the Home tab where you'll see the current work order details. Before starting production, configure your mold settings in the Settings tab by selecting a mold preset or entering cavity counts manually.
\\nOn the Home tab, press the START button to begin production. The system tracks cycle counts, good parts, scrap, and progress toward your target quantity. Press STOP to pause production. Monitor real-time KPIs including OEE, Availability, Performance, and Quality metrics displayed on the dashboard.
\\nUse the Alerts tab to record production incidents. Quick-log common issues with preset buttons like Material Out, Machine Stopped, or Emergency Stop. For detailed logging, select an alert type from the dropdown, add notes, and submit. All incidents are timestamped and contribute to availability and OEE calculations.
\\nIn the Settings tab, use the Mold Presets section to search for your mold by manufacturer and name. Select a preset to automatically load cavity counts, or manually adjust the Mold Configuration fields below. If your mold isn't available, use the Add Mold button in the Integrations section to create a new preset with manufacturer, name, and cavity details.
\\nThe Graphs tab displays historical OEE trends broken down by Availability, Performance, and Quality. Use these charts to identify patterns, track improvements, and diagnose recurring issues affecting your production efficiency.
\\nSelect a manufacturer and mold from the dropdowns above.
\\nCan't find the mold you're looking for?
\\n \\n| \\n | ID | \\nSKU | \\nTARGET | \\nGOOD | \\nSCRAP | \\nPROGRESS | \\nSTATUS | \\nLAST UPDATE | \\n
|---|
No active alerts
\\nAll systems operating normally
\\n{{anomaly.description}}
\\n{{formatTimestamp(anomaly.timestamp)}}
\\n{{popup.description}}
\\n \\n{{ resumePrompt.id }}
\\n\\n {{ resumePrompt.goodParts }} of {{ resumePrompt.targetQty }} parts completed\\n ({{ resumePrompt.progressPercent }}%)\\n
\\nCycle Count: {{ resumePrompt.cycleCount }}
\\n\\n{{ scrapPrompt.orderId }}
\\nProduced {{ scrapPrompt.produced }} of {{ scrapPrompt.target }} pieces
\\n\\nThis interface tracks Overall Equipment Effectiveness metrics, production progress, and incident logging for injection molding operations. Navigate between tabs using the sidebar to access work orders, real-time monitoring, performance graphs, incident reporting, and machine configuration.
\\nGo to the Work Orders tab and upload an Excel file with your work orders, or select from existing orders in the table. Click Load to activate a work order, then navigate to the Home tab where you'll see the current work order details. Before starting production, configure your mold settings in the Settings tab by selecting a mold preset or entering cavity counts manually.
\\nOn the Home tab, press the START button to begin production. The system tracks cycle counts, good parts, scrap, and progress toward your target quantity. Press STOP to pause production. Monitor real-time KPIs including OEE, Availability, Performance, and Quality metrics displayed on the dashboard.
\\nUse the Alerts tab to record production incidents. Quick-log common issues with preset buttons like Material Out, Machine Stopped, or Emergency Stop. For detailed logging, select an alert type from the dropdown, add notes, and submit. All incidents are timestamped and contribute to availability and OEE calculations.
\\nIn the Settings tab, use the Mold Presets section to search for your mold by manufacturer and name. Select a preset to automatically load cavity counts, or manually adjust the Mold Configuration fields below. If your mold isn't available, use the Add Mold button in the Integrations section to create a new preset with manufacturer, name, and cavity details.
\\nThe Graphs tab displays historical OEE trends broken down by Availability, Performance, and Quality. Use these charts to identify patterns, track improvements, and diagnose recurring issues affecting your production efficiency.
\\nSelect a manufacturer and mold from the dropdowns above.
\\nCan't find the mold you're looking for?
\\n \\n| \\n | ID | \\nSKU | \\nTARGET | \\nGOOD | \\nSCRAP | \\nPROGRESS | \\nSTATUS | \\nLAST UPDATE | \\n
|---|
No active alerts
\\nAll systems operating normally
\\n{{anomaly.description}}
\\n{{formatTimestamp(anomaly.timestamp)}}
\\n{{popup.description}}
\\n \\n{{ resumePrompt.id }}
\\n\\n {{ resumePrompt.goodParts }} of {{ resumePrompt.targetQty }} parts completed\\n ({{ resumePrompt.progressPercent }}%)\\n
\\nCycle Count: {{ resumePrompt.cycleCount }}
\\n\\n{{ scrapPrompt.orderId }}
\\nProduced {{ scrapPrompt.produced }} of {{ scrapPrompt.target }} pieces
\\n\\nThis interface tracks Overall Equipment Effectiveness metrics, production progress, and incident logging for injection molding operations. Navigate between tabs using the sidebar to access work orders, real-time monitoring, performance graphs, incident reporting, and machine configuration.
\\nGo to the Work Orders tab and upload an Excel file with your work orders, or select from existing orders in the table. Click Load to activate a work order, then navigate to the Home tab where you'll see the current work order details. Before starting production, configure your mold settings in the Settings tab by selecting a mold preset or entering cavity counts manually.
\\nOn the Home tab, press the START button to begin production. The system tracks cycle counts, good parts, scrap, and progress toward your target quantity. Press STOP to pause production. Monitor real-time KPIs including OEE, Availability, Performance, and Quality metrics displayed on the dashboard.
\\nUse the Alerts tab to record production incidents. Quick-log common issues with preset buttons like Material Out, Machine Stopped, or Emergency Stop. For detailed logging, select an alert type from the dropdown, add notes, and submit. All incidents are timestamped and contribute to availability and OEE calculations.
\\nIn the Settings tab, use the Mold Presets section to search for your mold by manufacturer and name. Select a preset to automatically load cavity counts, or manually adjust the Mold Configuration fields below. If your mold isn't available, use the Add Mold button in the Integrations section to create a new preset with manufacturer, name, and cavity details.
\\nThe Graphs tab displays historical OEE trends broken down by Availability, Performance, and Quality. Use these charts to identify patterns, track improvements, and diagnose recurring issues affecting your production efficiency.
\\nSelect a manufacturer and mold from the dropdowns above.
\\nCan't find the mold you're looking for?
\\n \\n| \\n | ID | \\nSKU | \\nTARGET | \\nGOOD | \\nSCRAP | \\nPROGRESS | \\nSTATUS | \\nLAST UPDATE | \\n
|---|
No active alerts
\\nAll systems operating normally
\\n{{anomaly.description}}
\\n{{formatTimestamp(anomaly.timestamp)}}
\\n{{popup.description}}
\\n \\n{{anomaly.description}}
\n{{formatTimestamp(anomaly.timestamp)}}
\n{{popup.description}}
\n \n