FastestAI Dataflow 是一个基于 DataFrame 范式的业务数据工作流自动化系统，属于 MaybeAI 平台的核心组件。该系统实现了完整的"获取 → 分析 → 行动"业务循环，允许用户用自然语言描述数据需求，自动生成可执行的数据处理工作流。
Dataflow 的核心是表格构建工作流，遵循字段模板模式：
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/ gist:30d0c6a5c8516d16d849adb62d60996d
Created
November 2, 2025 06:36
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| error: failed to run custom build command for `llama-cpp-sys-2 v0.1.122` | |
| note: To improve backtraces for build dependencies, set the CARGO_PROFILE_RELEASE_BUILD_OVERRIDE_DEBUG=true environment variable to enable debug information generation. | |
| Caused by: | |
| process didn't exit successfully: `/var/folders/f6/_kryk9_n3qs8jrc9c4jf0lgr0000gn/T/cargo-installpfCZBs/release/build/llama-cpp-sys-2-91cbecc6df914f93/build-script-build` (exit status: 101) | |
| --- stdout | |
| cargo:rerun-if-changed=build.rs | |
| cargo:rerun-if-env-changed=LLAMA_LIB_PROFILE | |
| cargo:rerun-if-env-changed=LLAMA_BUILD_SHARED_LIBS | |
| cargo:rerun-if-env-changed=LLAMA_STATIC_CRT |
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| { | |
| "id": "3d9a57fa-c4f1-4730-94ef-e0489a5489f1", | |
| "type": "data", | |
| "data": { | |
| "data": { | |
| "id": "3af8d478-afe7-4c4b-9465-2099c92c5f85", | |
| "title": "Twitter Content to Infographic Processing Pipeline", | |
| "objective": "Read Twitter URLs from a Google Sheet, extract actual tweet content, generate infographics from the content, and update the sheet with results and completion status", | |
| "variables": [ | |
| { |
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| { | |
| "request_id": "67624cfc-9d55-45af-9c8b-1e78cd14445c", | |
| "chat_id": "111", | |
| "shop_name": "润星壹药医药专营店", | |
| "shop_id": "322188712", | |
| "company_id": 2840397487074709761, | |
| "platform_id": 5, | |
| "messages": [ | |
| { | |
| "timestamp": 1750160042000, |
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/ networkservice.sh
Created
March 15, 2025 06:22
— forked from reorx/networkservice.sh
macOS: get current active network device name, interface, mac
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| #!/bin/bash | |
| services=$(networksetup -listnetworkserviceorder | grep 'Hardware Port') | |
| while read line; do | |
| sname=$(echo $line | awk -F "(, )|(: )|[)]" '{print $2}') | |
| sdev=$(echo $line | awk -F "(, )|(: )|[)]" '{print $4}') | |
| #echo "Current service: $sname, $sdev, $currentservice" | |
| if [ -n "$sdev" ]; then | |
| ifout="$(ifconfig $sdev 2>/dev/null)" |
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| ---------- user ---------- | |
| Generate an image to show the history of Tesla | |
| ---------- PlanningAgent ---------- | |
| To generate an image showcasing the history of Tesla, we need to follow a series of structured steps: | |
| 1. **Research and Information Gathering**: We need to gather detailed information regarding Tesla's history, including key events, milestones, and developments. | |
| 2. **Content Creation**: We will need to create a narrative that highlights key points in Tesla's timeline to be visually represented in an infographic. | |
| 3. **Content Review**: The content needs to be reviewed for accuracy, clarity, and consistency with Tesla's brand and message. |
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/ message.json
Created
October 7, 2024 15:08
This file has been truncated, but you can view the full file.
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| // Send: | |
| {"jsonrpc":"2.0","method":"textDocument/didChange","params":{"textDocument":{"uri":"file:///Users/maximin/Downloads/aaa/src/aaa/__init__.py","version":9},"contentChanges":[{"range":{"start":{"line":2,"character":0},"end":{"line":2,"character":0}},"text":"s"}]}} | |
| // Send: | |
| {"jsonrpc":"2.0","id":126,"method":"textDocument/completion","params":{"textDocument":{"uri":"file:///Users/maximin/Downloads/aaa/src/aaa/__init__.py"},"position":{"line":2,"character":1},"context":{"triggerKind":1}}} | |
| // Receive: | |
| {"jsonrpc":"2.0","id":126,"result":{"items":[{"label":"__spec__","kind":6,"data":{"uri":"file:///Users/maximin/Downloads/aaa/src/aaa/__init__.py","position":{"line":2,"character":1},"symbolLabel":"__spec__"},"sortText":"11.9999.__spec__"},{"label":"__annotations__","kind":6,"data":{"uri":"file:///Users/maximin/Downloads/aaa/src/aaa/__init__.py","position":{"line":2,"character":1},"symbolLabel":"__annotations__"},"sortText":"11.9999.__annotations__"},{"label":"__builtins__","kind":6,"data":{"uri":"file:///User |
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| import os | |
| import taipy.gui.builder as tgb | |
| from openai import OpenAI | |
| from qdrant_client import QdrantClient | |
| from qdrant_client.models import PayloadFieldSchema | |
| from taipy.gui import Gui | |
| OPENAI_EMBEDDING_MODEL = "text-embedding-ada-002" |
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/ shell-command-with-aliasses.el
Created
September 27, 2023 16:17
— forked from amno1/shell-command-with-aliases.el
Use Bash aliases in interactive shell-comands
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| ;;; shell-command-with-aliasses.el --- Use Bash aliases in interactive shell-comands -*- lexical-binding: t; -*- | |
| ;; Copyright (C) 2023 Arthur Miller | |
| ;; Author: Arthur Miller <[email protected]> | |
| ;; Keywords: | |
| ;; This program is free software; you can redistribute it and/or modify | |
| ;; it under the terms of the GNU General Public License as published by | |
| ;; the Free Software Foundation, either version 3 of the License, or |
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| * Seleted "super" in ~kitty-configure--Command-key~ | |
| ** Step 6 | |
| Got a message in echo area: ~s-x~ is undefined. | |
| ** Step 7 | |
| Got a message in echo area: ~s-x~ is undefined. |
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