Setting the Stage: Context for the Curious Book Reader
In the world of software development, especially when working with AI assistants, the context provided is paramount. This journal entry documents the intricate, and often frustrating, journey of building a tool to automatically generate architectural diagrams of a Python codebase. The goal was to feed this rich context—a file tree, a dependency graph, and a visual UML diagram—to an AI to help intelligently prune an aging and complex repository. What started as a simple idea spiraled into a multi-step debugging process involving esoteric details of Nix environments, Python package management, and the nuances of command-line tool integration. This is the story of that process, a testament to the perseverance required to build robust, automated developer workflows.
Technical Journal Entry Begins
This is my new favorite command:
eza --tree --git-ignore
…and yet there’s still a lot of cruft in the Pipulate repo, appropriately
enough in a folder named cruft/. I am very tempted to delete it and do a real
pruning of all that markdown.md garbage that Claude endlessly loves to
produce. I mean, I appreciated it at first but before long it was the Maître
d’hôtel feeding one more wafer thin mint to Mr. Creosote. Then I moved it all to
cruft.
The patient is ready, shall we amputate the gangrenous limb Doctor? No, let’s
give it another week or two. No harm. I can now just filter it from the tree by
throwing it into .gitignore which by the way doesn’t proactively remove
anything in that folder from the repo but only just doesn’t add anything new if
new files are created there. But I did just learn that if you actually want the
directory filters, it does need the trailing slash on the folder name. Cruft is
currently in the .gitignore file but not filtered out. Plenty of other folders
are or the tree listing would be much larger still.
# ripgrep filters for good search & replaces with `rg | xargs sed` pattern
# cruft/
assets/js/
# File-types that should never get into repo
*.csv
*.gz
*.pkl
# Different repos in subfolders of this repo
subrepos/
# Pipulate framework stuff
*kungfu_*.py
.ssh/key
botify_token.txt
config.json
data/
downloads/
flake.lock
foo.txt
foo_files.py
logs/
helpers/prompt_foo/prompt.md
service_account.txt
whitelabel.txt
# Mac & vendor crap
.DS_Store
.cursor/
# Python, Jupyter Notebook & FastHTML stuff
.ipynb_checkpoints/
.jupyter/lab/workspaces/
.jupyter/migrated
.jupyter/serverconfig/
.sesskey
.venv/
__pycache__/
hello_world.ipynb
training/botify_api_local.md
# Python packaging and build artifacts
dist/
build/
*.egg-info/
*.egg-info
*.whl
*.tar.gz
# PyPI publishing artifacts
.tox/
.coverage
htmlcov/
.pytest_cache/
# AI Keychain persistent memory - survives application resets
# Browser automation outputs - keep these local only
browser_automation/looking_at/
browser_automation/looking_at/*.html
browser_automation/looking_at/*.json
browser_automation/looking_at/*.png
browser_automation/looking_at/*.txt
browser_automation/looking_at/*.py
# Browser automation rotating directories - AI perception history (local only)
browser_automation/looking_at-*/
browser_automation/looking_at-*/*.html
browser_automation/looking_at-*/*.json
browser_automation/looking_at-*/*.png
browser_automation/looking_at-*/*.txt
browser_automation/looking_at-*/*.py
# Browser automation temp scripts - disposable one-offs
browser_automation/temp_scripts/
*_beautiful_dom.html
*_automation_registry.json
*_automation_targets.py
*_automation_summary.txt
*_results.json
*_screenshot.png
*_source.html
# Directory rotation test files - development use only
browser_automation/test_rotation_data/
# Botify helper outputs - keep schema discovery and data files local only
helpers/botify/*.json
helpers/botify/*.csv
# 🛡️ Survivable test harness - independent git repo
tests/tools/__pycache__/
# Voice synthesis models - auto-downloaded as needed
piper_models/
[mike@nixos:~/repos/pipulate]$ eza --tree --git-ignore
.
├── __init__.py
├── AI_RUNME.py
├── apps
│ ├── 001_dom_visualizer.py
│ ├── 010_introduction.py
│ ├── 020_profiles.py
│ ├── 030_roles.py
│ ├── 040_hello_workflow.py
│ ├── 050_documentation.py
│ ├── 060_tasks.py
│ ├── 070_history.py
│ ├── 100_connect_with_botify.py
│ ├── 110_parameter_buster.py
│ ├── 120_link_graph.py
│ ├── 130_gap_analysis.py
│ ├── 200_workflow_genesis.py
│ ├── 210_widget_examples.py
│ ├── 220_roadmap.py
│ ├── 230_dev_assistant.py
│ ├── 240_simon_mcp.py
│ ├── 300_blank_placeholder.py
│ ├── 400_botify_trifecta.py
│ ├── 430_tab_opener.py
│ ├── 440_browser_automation.py
│ ├── 450_stream_simulator.py
│ ├── 510_text_field.py
│ ├── 520_text_area.py
│ ├── 530_dropdown.py
│ ├── 540_checkboxes.py
│ ├── 550_radios.py
│ ├── 560_range.py
│ ├── 570_switch.py
│ ├── 580_upload.py
│ ├── 610_markdown.py
│ ├── 620_mermaid.py
│ ├── 630_prism.py
│ ├── 640_javascript.py
│ ├── 710_pandas.py
│ ├── 720_rich.py
│ ├── 730_matplotlib.py
│ ├── 810_webbrowser.py
│ └── 820_selenium.py
├── assets
│ ├── css
│ │ ├── pico.css
│ │ ├── prism.css
│ │ └── roboto.css
│ ├── feather
│ │ ├── activity.svg
│ │ ├── airplay.svg
│ │ ├── alert-circle.svg
│ │ ├── alert-octagon.svg
│ │ ├── alert-triangle.svg
│ │ ├── align-center.svg
│ │ ├── align-justify.svg
│ │ ├── align-left.svg
│ │ ├── align-right.svg
│ │ ├── anchor.svg
│ │ ├── aperture.svg
│ │ ├── archive.svg
│ │ ├── arrow-down-circle.svg
│ │ ├── arrow-down-left.svg
│ │ ├── arrow-down-right.svg
│ │ ├── arrow-down.svg
│ │ ├── arrow-left-circle.svg
│ │ ├── arrow-left.svg
│ │ ├── arrow-right-circle.svg
│ │ ├── arrow-right.svg
│ │ ├── arrow-up-circle.svg
│ │ ├── arrow-up-left.svg
│ │ ├── arrow-up-right.svg
│ │ ├── arrow-up.svg
│ │ ├── at-sign.svg
│ │ ├── award.svg
│ │ ├── bar-chart-2.svg
│ │ ├── bar-chart.svg
│ │ ├── battery-charging.svg
│ │ ├── battery.svg
│ │ ├── bell-off.svg
│ │ ├── bell.svg
│ │ ├── bluetooth.svg
│ │ ├── bold.svg
│ │ ├── book-open.svg
│ │ ├── book.svg
│ │ ├── bookmark.svg
│ │ ├── box.svg
│ │ ├── briefcase.svg
│ │ ├── calendar.svg
│ │ ├── camera-off.svg
│ │ ├── camera.svg
│ │ ├── cast.svg
│ │ ├── check-circle.svg
│ │ ├── check-square.svg
│ │ ├── check.svg
│ │ ├── chevron-down.svg
│ │ ├── chevron-left.svg
│ │ ├── chevron-right.svg
│ │ ├── chevron-up.svg
│ │ ├── chevrons-down.svg
│ │ ├── chevrons-left.svg
│ │ ├── chevrons-right.svg
│ │ ├── chevrons-up.svg
│ │ ├── chrome.svg
│ │ ├── circle.svg
│ │ ├── clipboard.svg
│ │ ├── clock.svg
│ │ ├── cloud-drizzle.svg
│ │ ├── cloud-lightning.svg
│ │ ├── cloud-off.svg
│ │ ├── cloud-rain.svg
│ │ ├── cloud-snow.svg
│ │ ├── cloud.svg
│ │ ├── code.svg
│ │ ├── codepen.svg
│ │ ├── codesandbox.svg
│ │ ├── coffee.svg
│ │ ├── columns.svg
│ │ ├── command.svg
│ │ ├── compass.svg
│ │ ├── copy.svg
│ │ ├── corner-down-left.svg
│ │ ├── corner-down-right.svg
│ │ ├── corner-left-down.svg
│ │ ├── corner-left-up.svg
│ │ ├── corner-right-down.svg
│ │ ├── corner-right-up.svg
│ │ ├── corner-up-left.svg
│ │ ├── corner-up-right.svg
│ │ ├── cpu.svg
│ │ ├── credit-card.svg
│ │ ├── crop.svg
│ │ ├── crosshair.svg
│ │ ├── database.svg
│ │ ├── delete.svg
│ │ ├── disc.svg
│ │ ├── divide-circle.svg
│ │ ├── divide-square.svg
│ │ ├── divide.svg
│ │ ├── dollar-sign.svg
│ │ ├── download-cloud.svg
│ │ ├── download.svg
│ │ ├── dribbble.svg
│ │ ├── droplet.svg
│ │ ├── edit-2.svg
│ │ ├── edit-3.svg
│ │ ├── edit.svg
│ │ ├── external-link.svg
│ │ ├── eye-off.svg
│ │ ├── eye.svg
│ │ ├── facebook.svg
│ │ ├── fast-forward.svg
│ │ ├── feather.svg
│ │ ├── figma.svg
│ │ ├── file-minus.svg
│ │ ├── file-plus.svg
│ │ ├── file-text.svg
│ │ ├── file.svg
│ │ ├── film.svg
│ │ ├── filter.svg
│ │ ├── flag.svg
│ │ ├── folder-minus.svg
│ │ ├── folder-plus.svg
│ │ ├── folder.svg
│ │ ├── framer.svg
│ │ ├── frown.svg
│ │ ├── gift.svg
│ │ ├── git-branch.svg
│ │ ├── git-commit.svg
│ │ ├── git-merge.svg
│ │ ├── git-pull-request.svg
│ │ ├── github.svg
│ │ ├── gitlab.svg
│ │ ├── globe.svg
│ │ ├── grid.svg
│ │ ├── hard-drive.svg
│ │ ├── hash.svg
│ │ ├── headphones.svg
│ │ ├── heart.svg
│ │ ├── help-circle.svg
│ │ ├── hexagon.svg
│ │ ├── home.svg
│ │ ├── image.svg
│ │ ├── inbox.svg
│ │ ├── info.svg
│ │ ├── instagram.svg
│ │ ├── italic.svg
│ │ ├── key.svg
│ │ ├── layers.svg
│ │ ├── layout.svg
│ │ ├── life-buoy.svg
│ │ ├── link-2.svg
│ │ ├── link.svg
│ │ ├── linkedin.svg
│ │ ├── list.svg
│ │ ├── loader.svg
│ │ ├── lock.svg
│ │ ├── log-in.svg
│ │ ├── log-out.svg
│ │ ├── mail.svg
│ │ ├── map-pin.svg
│ │ ├── map.svg
│ │ ├── maximize-2.svg
│ │ ├── maximize.svg
│ │ ├── meh.svg
│ │ ├── menu.svg
│ │ ├── message-circle.svg
│ │ ├── message-square.svg
│ │ ├── mic-off.svg
│ │ ├── mic.svg
│ │ ├── minimize-2.svg
│ │ ├── minimize.svg
│ │ ├── minus-circle.svg
│ │ ├── minus-square.svg
│ │ ├── minus.svg
│ │ ├── monitor.svg
│ │ ├── moon.svg
│ │ ├── more-horizontal.svg
│ │ ├── more-vertical.svg
│ │ ├── mouse-pointer.svg
│ │ ├── move.svg
│ │ ├── music.svg
│ │ ├── navigation-2.svg
│ │ ├── navigation.svg
│ │ ├── octagon.svg
│ │ ├── package.svg
│ │ ├── paperclip.svg
│ │ ├── pause-circle.svg
│ │ ├── pause.svg
│ │ ├── pen-tool.svg
│ │ ├── percent.svg
│ │ ├── phone-call.svg
│ │ ├── phone-forwarded.svg
│ │ ├── phone-incoming.svg
│ │ ├── phone-missed.svg
│ │ ├── phone-off.svg
│ │ ├── phone-outgoing.svg
│ │ ├── phone.svg
│ │ ├── pie-chart.svg
│ │ ├── play-circle.svg
│ │ ├── play.svg
│ │ ├── plus-circle.svg
│ │ ├── plus-square.svg
│ │ ├── plus.svg
│ │ ├── pocket.svg
│ │ ├── power.svg
│ │ ├── printer.svg
│ │ ├── radio.svg
│ │ ├── refresh-ccw.svg
│ │ ├── refresh-cw.svg
│ │ ├── repeat.svg
│ │ ├── rewind.svg
│ │ ├── rotate-ccw.svg
│ │ ├── rotate-cw.svg
│ │ ├── rss.svg
│ │ ├── save.svg
│ │ ├── scissors.svg
│ │ ├── search.svg
│ │ ├── send.svg
│ │ ├── server.svg
│ │ ├── settings.svg
│ │ ├── share-2.svg
│ │ ├── share.svg
│ │ ├── shield-off.svg
│ │ ├── shield.svg
│ │ ├── shopping-bag.svg
│ │ ├── shopping-cart.svg
│ │ ├── shuffle.svg
│ │ ├── sidebar.svg
│ │ ├── skip-back.svg
│ │ ├── skip-forward.svg
│ │ ├── slack.svg
│ │ ├── slash.svg
│ │ ├── sliders.svg
│ │ ├── smartphone.svg
│ │ ├── smile.svg
│ │ ├── speaker.svg
│ │ ├── square.svg
│ │ ├── star.svg
│ │ ├── stop-circle.svg
│ │ ├── sun.svg
│ │ ├── sunrise.svg
│ │ ├── sunset.svg
│ │ ├── table.svg
│ │ ├── tablet.svg
│ │ ├── tag.svg
│ │ ├── target.svg
│ │ ├── terminal.svg
│ │ ├── thermometer.svg
│ │ ├── thumbs-down.svg
│ │ ├── thumbs-up.svg
│ │ ├── toggle-left.svg
│ │ ├── toggle-right.svg
│ │ ├── tool.svg
│ │ ├── trash-2.svg
│ │ ├── trash.svg
│ │ ├── trello.svg
│ │ ├── trending-down.svg
│ │ ├── trending-up.svg
│ │ ├── triangle.svg
│ │ ├── truck.svg
│ │ ├── tv.svg
│ │ ├── twitch.svg
│ │ ├── twitter.svg
│ │ ├── type.svg
│ │ ├── umbrella.svg
│ │ ├── underline.svg
│ │ ├── unlock.svg
│ │ ├── upload-cloud.svg
│ │ ├── upload.svg
│ │ ├── user-check.svg
│ │ ├── user-minus.svg
│ │ ├── user-plus.svg
│ │ ├── user-x.svg
│ │ ├── user.svg
│ │ ├── users.svg
│ │ ├── video-off.svg
│ │ ├── video.svg
│ │ ├── voicemail.svg
│ │ ├── volume-1.svg
│ │ ├── volume-2.svg
│ │ ├── volume-x.svg
│ │ ├── volume.svg
│ │ ├── watch.svg
│ │ ├── wifi-off.svg
│ │ ├── wifi.svg
│ │ ├── wind.svg
│ │ ├── x-circle.svg
│ │ ├── x-octagon.svg
│ │ ├── x-square.svg
│ │ ├── x.svg
│ │ ├── youtube.svg
│ │ ├── zap-off.svg
│ │ ├── zap.svg
│ │ ├── zoom-in.svg
│ │ └── zoom-out.svg
│ ├── fonts
│ │ ├── Roboto-Black.ttf
│ │ ├── Roboto-Black.woff2
│ │ ├── Roboto-BlackItalic.woff
│ │ ├── Roboto-Bold.ttf
│ │ ├── Roboto-Bold.woff2
│ │ ├── Roboto-BoldItalic.woff
│ │ ├── Roboto-Italic.ttf
│ │ ├── Roboto-Italic.woff
│ │ ├── Roboto-Italic.woff2
│ │ ├── Roboto-Light.ttf
│ │ ├── Roboto-Light.woff2
│ │ ├── Roboto-LightItalic.woff
│ │ ├── Roboto-Medium.ttf
│ │ ├── Roboto-Medium.woff2
│ │ ├── Roboto-MediumItalic.woff
│ │ ├── Roboto-Regular.ttf
│ │ ├── Roboto-Regular.woff2
│ │ ├── Roboto-Thin.ttf
│ │ ├── Roboto-Thin.woff
│ │ └── Roboto-Thin.woff2
│ ├── images
│ │ ├── ai-seo-software.png
│ │ └── ai-seo-software.svg
│ ├── init.js
│ ├── installer
│ │ └── install.sh
│ ├── js
│ │ ├── fasthtml.js
│ │ ├── htmx.js
│ │ ├── marked.min.js
│ │ ├── mermaid.min.js
│ │ ├── prism.js
│ │ ├── script.js
│ │ ├── Sortable.js
│ │ ├── split.js
│ │ └── surreal.js
│ ├── oz-effect-demo.html
│ ├── pipulate-init.js
│ ├── pipulate.js
│ ├── prompts
│ │ ├── pipulate-context.xsd
│ │ └── system_prompt.md
│ ├── rich-table.css
│ ├── styles.css
│ ├── tests
│ │ └── demo.json
│ ├── theme.js
│ └── utils.js
├── browser_automation
│ ├── automation_recipes
│ │ ├── http_localhost_5001
│ │ │ ├── load_all_data_recipe.json
│ │ │ ├── profile_creation_recipe.json
│ │ │ └── save_all_data_recipe.json
│ │ └── README_SAVE_LOAD_AUTOMATION.md
│ ├── dom_processing
│ │ ├── dom_box_visualizer.py
│ │ └── dom_hierarchy_visualizer.py
│ ├── dom_schema_visualizer.py
│ ├── google_search_automation_demo.py
│ ├── google_search_example.py
│ ├── interactive_google_search.py
│ ├── recipe_executor.py
│ └── review_perception_history.py
├── cli.py
├── config.py
├── cruft
│ ├── ai_discovery
│ │ ├── AI_DISCOVERY_NAVIGATION.md
│ │ ├── AI_GOLDEN_PATH_EXECUTION_MATRIX.md
│ │ ├── AI_HANDOFF_JACK_PUMPKINHEAD_BURR_GRINDING_COMPLETION.md
│ │ ├── ai_handoff_modular_mcp_tools_and_golden_path.md
│ │ ├── ai_progressive_discovery_sequence.md
│ │ ├── branches
│ │ │ ├── CHANGELOG.md
│ │ │ ├── yellowbricklion_courage_phase.md
│ │ │ ├── yellowbrickscarecrow_journey.md
│ │ │ └── yellowbricktinman_heart_phase.md
│ │ ├── conversation_system
│ │ │ ├── ai_conversation_architecture_improvement.md
│ │ │ ├── ai_conversation_architecture_solution.md
│ │ │ ├── ai_conversation_architecture_solution_final.md
│ │ │ └── ai_conversation_vulnerability_fix_complete.md
│ │ ├── core_mcp_tools
│ │ │ ├── ai_breadcrumb_discovery_for_local_llms.md
│ │ │ ├── ai_mcp_golden_path_complete_architecture.md
│ │ │ ├── ai_mcp_golden_path_complete_system.md
│ │ │ ├── ai_mcp_golden_path_quick_reference.md
│ │ │ ├── ai_mcp_tools_discovery_guide.md
│ │ │ ├── ai_onboarding_guide.md
│ │ │ └── ai_tool_discovery.py
│ │ ├── development_patterns
│ │ │ ├── ai_commit_conversation_integration.md
│ │ │ ├── ai_iterative_loops_implementation_guide.md
│ │ │ ├── ai_keychain_implementation_guide.md
│ │ │ ├── ai_progressive_intelligence_hierarchy_mastery.md
│ │ │ ├── ai_strange_loop_git_recovery_addendum.md
│ │ │ └── demo_keychain_usage.py
│ │ ├── GOLDEN_PATH.md
│ │ ├── quick_start_for_ai_assistants.md
│ │ ├── suspected_obsolete
│ │ │ ├── ai_discussion_history_plugin.md
│ │ │ ├── ai_progressive_discovery.md
│ │ │ ├── ai_python_path_issue_analysis.md
│ │ │ ├── ai_restart_architecture_explanation.md
│ │ │ └── ai_server_already_running_guidance.md
│ │ ├── test_llm_body_chain_reaction.py
│ │ └── testing_debugging
│ │ ├── ai_detective_implementation_guide.md
│ │ ├── ai_detective_real_world_example.md
│ │ ├── ai_deterministic_testing_complete_system.md
│ │ └── ai_deterministic_testing_masterclass.md
│ ├── ANTI_PATTERN_GUIDE.md
│ ├── archive
│ │ └── stale_progress_reports
│ │ ├── 2025-01-07-conversation-history-overwrite-bug-fix.md
│ │ ├── 2025-06-15-universal-api-pattern.md
│ │ ├── 2025-06-16-uvicorn-high-speed-engine.md
│ │ ├── 2025-06-17-ai-browser-automation-breakthrough.md
│ │ ├── 2025-06-18-browser-automation-technical-details.md
│ │ ├── 2025-06-19-browser-automation-workflow-patterns.md
│ │ ├── 2025-06-23-living-readme-revolution.md
│ │ ├── 2025-06-25-pipulate-philosophical-blueprint.md
│ │ ├── 2025-07-02-backup-restore-architecture-revolution.md
│ │ ├── 2025-07-21-blockingio-error-complete-resolution.md
│ │ ├── 2025-07-21-comprehensive-demo-enhancement-summary.md
│ │ ├── 2025-07-21-demo-comeback-integrated-success.md
│ │ ├── 2025-07-21-demo-continuation-restored.md
│ │ ├── 2025-07-21-demo-continuation-system-fully-working.md
│ │ ├── 2025-07-21-demo-conversation-continuation-complete.md
│ │ ├── 2025-07-21-demo-full-screen-enhancement.md
│ │ ├── 2025-07-21-demo-system-redesign-complete.md
│ │ ├── 2025-07-21-lightning-in-a-bottle-insights.md
│ │ ├── 2025-07-21-nuclear-safety-absolute-protection.md
│ │ ├── ai_1_shot_session_hijacking_mastery.md
│ │ ├── ai_browser_automation_mastery.md
│ │ ├── ai_browser_embodiment_singularity.md
│ │ ├── ai_chip_otheseus_memory_heart_architecture.md
│ │ ├── ai_chip_otheseus_voice_integration_plan.md
│ │ ├── ai_conversation_history_debugging_guide.md
│ │ ├── ai_conversation_history_transparency_guide.md
│ │ ├── ai_crud_regression_prevention_guide.md
│ │ ├── ai_deterministic_trifecta_inheritance_mastery.md
│ │ ├── ai_embodiment_demonstration.md
│ │ ├── ai_magic_words_demonstration_protocol.md
│ │ ├── ai_persistent_conversation_history_implementation.md
│ │ ├── ai_session_hijacking_message.md
│ │ ├── ai_session_hijacking_nexus_discovery.md
│ │ ├── ai_session_hijacking_success_patterns.md
│ │ ├── ai_static_initialization_constants.md
│ │ └── database_safety_wrapper.py
│ ├── BACKUP_SYSTEMS_OVERVIEW.md
│ ├── botify_workflow_patterns.md
│ ├── cleanup
│ │ ├── automated_consolidation.py
│ │ ├── bulletproof_consolidation.py
│ │ ├── compare_function_implementations.sh
│ │ ├── format_plugins.py
│ │ ├── git_verify_consolidation.sh
│ │ ├── install_static_library.py
│ │ ├── pre_consolidation_verify.sh
│ │ ├── safe_consolidation_workflow.sh
│ │ ├── standardize_landing_pages.py
│ │ ├── test_adaptive_transparency.py
│ │ ├── test_mcp_tools_integration.sh
│ │ ├── test_selenium.py
│ │ ├── validate_aria_simple.py
│ │ └── verify_function_copies.sh
│ ├── considerations
│ │ ├── 2025-01-21-ai-burr-grinding-utilities-demo.md
│ │ ├── 2025-01-21-ai-intelligent-pattern-analysis.md
│ │ ├── 2025-06-12-bootstrap-paradox-solved.md
│ │ ├── 2025-06-13-durable-vs-ephemeral.md
│ │ ├── 2025-06-14-the-lens-stack.md
│ │ ├── 2025-06-22-aria-accessibility-protection-strategy.md
│ │ ├── 2025-06-26-revolutionary-testing-strategy.md
│ │ ├── 2025-06-28-content-gap-analysis-lightning-in-a-bottle.md
│ │ ├── 2025-07-21-critical-production-database-bug-fix.md
│ │ ├── 2025-07-21-demo-dev-mode-safety-enhancement.md
│ │ ├── 2025-07-21-demo-endpoint-message-suppression-success.md
│ │ ├── 2025-07-21-milestone-database-fix-merged.md
│ │ ├── 2025-07-21-production-database-emergency-fix-complete.md
│ │ └── 2025-07-21-regression-analysis-20250721.md
│ ├── demo_utils.py
│ ├── diagnostics
│ │ ├── diagnostic_conversation_loading.py
│ │ ├── DIAGNOSTICS.md
│ │ ├── final_conversation_persistence_verification.py
│ │ └── VALIDATION_REPORT.md
│ ├── DOCUMENTATION_STANDARDS.md
│ ├── experiment
│ │ └── iterate_ai.py
│ ├── extract_blog_posts.py
│ ├── generate_files_list.py
│ ├── git_tools
│ │ ├── git-continue-wrapper.sh
│ │ ├── git_dependencies.ipynb
│ │ ├── git_simple_regression_finder.py
│ │ ├── GIT_TOOLS.md
│ │ ├── setup-git-aliases.sh
│ │ ├── simple_cherry_pick.py
│ │ └── systematic_cherry_pick.py
│ ├── PROMPT_FOO_TECHNIQUE.md
│ ├── rebuild_trifecta_derivatives.sh
│ ├── recovery
│ │ ├── backup_legacy
│ │ │ ├── 110_parameter_buster.py
│ │ │ └── 120_link_graph.py
│ │ ├── patch_based_recovery.py
│ │ ├── recovered_cli.py
│ │ ├── RECOVERY.md
│ │ └── regressions
│ │ ├── cherry_picker.py
│ │ ├── compare_history.py
│ │ ├── failed_cherry_picks.log
│ │ ├── history_active.txt
│ │ ├── history_lost.txt
│ │ └── regressions.log
│ ├── regression_prevention_demo_suite.py
│ ├── requirements-back.txt
│ ├── rules
│ │ ├── 00_PIPULATE_MASTER_GUIDE.mdc
│ │ ├── 01_CRITICAL_PATTERNS.mdc
│ │ ├── 02_CORE_CONCEPTS.mdc
│ │ ├── 03_SETUP_AND_DEPENDENCIES.mdc
│ │ ├── 04_WORKFLOW_DEVELOPMENT.mdc
│ │ ├── 05_UI_AND_FRONTEND.mdc
│ │ ├── 06_DATA_AND_AUTOMATION.mdc
│ │ ├── 07_INTEGRATIONS.mdc
│ │ ├── 08_PROJECT_MANAGEMENT.mdc
│ │ ├── 09_DEBUGGING.mdc
│ │ ├── ALWAYS_IN_ALL_CAPS.md
│ │ ├── BREADCRUMB_TRAIL.mdc
│ │ └── SQUARE_BRACKET_TOOL_CALLING.md
│ ├── simple_ai_interface.py
│ ├── THE_MCP_CHRONICLES.md
│ ├── tools_folder.md
│ └── widget_conversion_guide.md
├── favicon.ico
├── flake.nix
├── imports
│ ├── __init__.py
│ ├── ai_dictdb.py
│ ├── ai_tool_discovery_simple_parser.py
│ ├── append_only_conversation.py
│ ├── ascii_displays.py
│ ├── botify
│ │ ├── __init__.py
│ │ ├── code_generators.py
│ │ └── true_schema_discoverer.py
│ ├── botify_code_generation.py
│ ├── crud.py
│ ├── dom_processing
│ │ ├── __init__.py
│ │ ├── ai_dom_beautifier.py
│ │ └── enhanced_dom_processor.py
│ ├── durable_backup_system.py
│ ├── mcp_orchestrator.py
│ ├── server_logging.py
│ ├── stream_orchestrator.py
│ └── voice_synthesis.py
├── LICENSE
├── logs
│ ├── needs_manual_review.log
│ ├── needs_manual_review_clean.log
│ ├── patch_recovery_conflicts.log
│ ├── patch_recovery_success.log
│ ├── server-1.log
│ ├── server-2.log
│ ├── server-3.log
│ ├── server-4.log
│ ├── server-5.log
│ ├── server-6.log
│ ├── server-7.log
│ ├── server-8.log
│ ├── server-9.log
│ ├── server-10.log
│ ├── server.log
│ ├── simple_cherry_pick_errors.log
│ └── systematic_cherry_pick_progress.log
├── prompt.md
├── prompt_foo.py
├── pyproject.toml
├── README.md
├── requirements.txt
├── scripts
│ ├── botify
│ │ ├── botify_api_bootcamp.md
│ │ ├── botify_api_examples.md
│ │ ├── hello_world_git_managed.ipynb
│ │ └── make_botify_docs.ipynb
│ ├── gsc
│ │ ├── generate_categories.py
│ │ ├── gsc_category_analysis.py
│ │ ├── gsc_keyworder.py
│ │ ├── gsc_page_query.ipynb
│ │ └── gsc_top_movers.py
│ ├── release
│ │ ├── __init__.py
│ │ ├── ai_commit.py
│ │ ├── publish.py
│ │ ├── RELEASE_GUIDE.md
│ │ ├── sync_ascii_art.py
│ │ └── version_sync.py
│ ├── vulture_whitelist.py
│ └── workflow
│ ├── create_workflow.py
│ ├── manage_class_attributes.py
│ ├── splice_workflow_step.py
│ ├── swap_workflow_step.py
│ ├── update_template_config.py
│ ├── WORKFLOW_DEVELOPMENT_GUIDE.md
│ └── workflow_reconstructor.py
├── server.py
└── tools
├── __init__.py
├── advanced_automation_tools.py
├── botify_tools.py
├── conversation_tools.py
├── keychain_tools.py
├── mcp_tools.py
└── system_tools.py
[mike@nixos:~/repos/pipulate]$
Wow, this is so friggin insightful. First, I need to update my .gitignore
because I renamed the helpers/ folder to scripts/.
Me: This is a .gitignore. Please make sure that all .json, .csv, .gz and .pkl files are filtered out no matter what subfolder they appear in. That being the case, then please also get rid of redundancies. Make it more efficient and beautiful to look at in other words, while more or less maintaining my categories.
[Pastes current .gitignore]
Gemini: Of course. Here is a revised and more efficient version of your .gitignore file.
I’ve added *.json to your global file-type filters and then removed redundancies throughout the file. I also tidied up the sorting within each of your categories to make it a bit cleaner.
# ripgrep filters for good search & replaces with `rg | xargs sed` pattern
assets/js/
cruft/
# File-types that should never get into repo
*.csv
*.gz
*.json
*.pkl
# Different repos in subfolders of this repo
subrepos/
# Pipulate framework stuff
data/
downloads/
logs/
.ssh/key
*kungfu_*.py
botify_token.txt
flake.lock
foo_files.py
service_account.txt
whitelabel.txt
# Mac & vendor crap
.cursor/
.DS_Store
# Python, Jupyter Notebook & FastHTML stuff
.ipynb_checkpoints/
.jupyter/
.venv/
__pycache__/
.sesskey
hello_world.ipynb
training/botify_api_local.md
# Python packaging and build artifacts
build/
dist/
*.egg-info/
*.whl
# PyPI publishing artifacts
.pytest_cache/
.tox/
htmlcov/
.coverage
# AI Keychain persistent memory - survives application resets
# Browser automation outputs - keep these local only
browser_automation/looking_at/
# Browser automation rotating directories - AI perception history (local only)
browser_automation/looking_at-*/
# Browser automation temp scripts - disposable one-offs
browser_automation/temp_scripts/
*_automation_summary.txt
*_automation_targets.py
*_beautiful_dom.html
*_screenshot.png
*_source.html
# Directory rotation test files - development use only
browser_automation/test_rotation_data/
# Voice synthesis models - auto-downloaded as needed
piper_models/
Me: Well that’s better. It’s also interesting to note that even though the
piper_models/ are actually nested inside of assets/ it still got filtered on
the new eza --tree --git-ignore output.
Gemini: You’ve nailed the diagnosis! 🕵️♂️ The reason cruft/ was still showing up is exactly what you suspected:
- The line in your
.gitignorewas commented out (# cruft/). - You’re also correct that the trailing slash (
/) is crucial. It tells Git to ignore a directory and everything inside it, which is much more efficient than ignoring files individually.
It’s also a great catch that piper_models/ gets ignored even when nested. A pattern without a leading slash, like piper_models/, will match that directory name anywhere in your project tree.
Let’s apply the same cleanup logic from our last chat to your updated .gitignore, fix the cruft/ entry, and handle the helpers/ to scripts/ rename.
Here is the revised and beautified .gitignore file. It now correctly ignores the cruft/ directory, adds a global *.json filter, and removes all the resulting redundancies.
# ripgrep filters for good search & replaces with `rg | xargs sed` pattern
assets/js/
cruft/
# File-types that should never get into repo
*.csv
*.gz
*.json
*.pkl
# Different repos in subfolders of this repo
subrepos/
# Pipulate framework stuff
data/
downloads/
logs/
.ssh/key
*kungfu_*.py
botify_token.txt
flake.lock
foo.txt
foo_files.py
service_account.txt
whitelabel.txt
# Mac & vendor crap
.cursor/
.DS_Store
# Python, Jupyter Notebook & FastHTML stuff
.ipynb_checkpoints/
.jupyter/
.venv/
__pycache__/
.sesskey
hello_world.ipynb
training/botify_api_local.md
# Python packaging and build artifacts
build/
dist/
*.egg-info/
*.whl
# PyPI publishing artifacts
.pytest_cache/
.tox/
htmlcov/
.coverage
# AI Keychain persistent memory - survives application resets
# Browser automation outputs - keep these local only
browser_automation/looking_at/
# Browser automation rotating directories - AI perception history (local only)
browser_automation/looking_at-*/
# Browser automation temp scripts - disposable one-offs
browser_automation/temp_scripts/
*_automation_summary.txt
*_automation_targets.py
*_beautiful_dom.html
*_screenshot.png
*_source.html
# Directory rotation test files - development use only
browser_automation/test_rotation_data/
# Voice synthesis models - auto-downloaded as needed
piper_models/
Summary of Changes:
- Fixed
cruft/: The entry is now active and will be properly ignored. - Global Filters: Added
*.jsonto the main file-types section. - Redundancies Removed:
- Got rid of specific
.jsonand.csvrules (likeconfig.jsonand the oldhelpers/botify/*entries) since they are now covered by the global filters. - Removed the now-obsolete sections for “Botify helper outputs” and the “Survivable test harness”
__pycache__since they were fully covered by other rules. - Cleaned up the
browser_automation/sections to ignore just the parent directories. - Simplified the
.jupyter/entries into a single line.
- Got rid of specific
Me: Nice, thanks. While I still will leave the cruft/ folder in place a
little bit longer, I will go on a hunt for files to prune. My real goal here is
to wrap ASCII art representing the UML diagram and the .DOT file for AIs into
the prompt_foo.py process. That way the AI can see the tree and the dependencies
and we can go pruning orphans. I don’t think that will catch things like
unlinked feather .svg files, but maybe the AI will have ideas on that as well.
Put it all together for me, Gemini.
The Grand Plan: Arming the AI with Architectural X-Rays
Gemini: Got it. We’ll simplify the process by integrating the UML and DOT generation directly into prompt_foo.py, keeping it clean and path-agnostic.
Here’s the plan: add the necessary Nix packages, document the new functions to add to your script, and show where to hook them into your manifest creation process.
1. Nix Environment Update
First, ensure your flake.nix provides the required tools. Add pylint (for pyreverse) and plantuml to your commonPackages.
# In flake.nix -> commonPackages
commonPackages = with pkgs; [
# ... your existing packages
pylint # Provides pyreverse for code analysis
plantuml # For generating ASCII diagrams
];
Run nix develop once to make the new packages available in your environment.
2. New Functions for prompt_foo.py
Here are the new functions to add to your prompt_foo.py file. They are self-contained and will handle the generation and cleanup of the UML/DOT context. You can place this code block anywhere in the file before the create_pipulate_manifest function is defined.
# ============================================================================
# UML AND DOT CONTEXT GENERATION
# ============================================================================
import subprocess
import tempfile
def generate_uml_and_dot(target_file="server.py", project_name="pipulate"):
"""
Generates a UML ASCII diagram and a DOT dependency graph for a target Python file.
This function orchestrates the process:
1. Runs pyreverse to create a DOT file.
2. Converts the DOT file content to PlantUML syntax.
3. Runs PlantUML to create an ASCII art diagram.
4. Cleans up all intermediate files.
Args:
target_file (str): The Python file to analyze (e.g., "server.py").
project_name (str): The project name to pass to pyreverse.
Returns:
dict: A dictionary containing 'ascii_uml' and 'dot_graph' content,
or error messages if a step fails.
"""
pyreverse_exec = os.path.join(repo_root, ".venv/bin/pyreverse")
target_path = os.path.join(repo_root, target_file)
# Use a temporary directory to keep the root clean
with tempfile.TemporaryDirectory() as temp_dir:
dot_file_path = os.path.join(temp_dir, "classes.dot")
puml_file_path = os.path.join(temp_dir, "diagram.puml")
# --- Step 1: Run pyreverse ---
try:
# Note: pyreverse annoyingly prepends 'classes_' to the output file.
# We'll run it in the temp dir and move the result.
pyreverse_cmd = [
pyreverse_exec,
"-f", "dot",
"-o", "dot", # This format is just a prefix
"-p", project_name,
target_path
]
subprocess.run(
pyreverse_cmd,
check=True,
capture_output=True,
text=True,
cwd=temp_dir
)
# The actual output file will be named like 'classes_pipulate.dot'
generated_dot_name = f"classes_{project_name}.dot"
os.rename(os.path.join(temp_dir, generated_dot_name), dot_file_path)
except (subprocess.CalledProcessError, FileNotFoundError) as e:
error_msg = e.stderr if hasattr(e, 'stderr') else str(e)
return {"ascii_uml": f"Error: pyreverse failed. {error_msg}", "dot_graph": None}
# --- Step 2: Convert DOT to PlantUML ---
try:
with open(dot_file_path, 'r') as f:
dot_content = f.read()
puml_lines = ["@startuml", "skinparam linetype ortho", ""]
classes = set()
class_pattern = r'"(?:[\w\.]+\.)?(\w+)" \[label="\{(\w+)\|'
for match in re.finditer(class_pattern, dot_content):
if match.group(1) == match.group(2):
classes.add(match.group(1))
full_class_pattern = r'"(?:[\w\.]+\.)?(\w+)" \[label="\{(\w+)\|([^}]+)\}"'
for match in re.finditer(full_class_pattern, dot_content):
class_name, _, attributes_str = match.groups()
if class_name in classes:
puml_lines.append(f"class {class_name} {{")
for part in attributes_str.split('\\l'):
part = part.strip()
if part and part != '...':
puml_lines.append(f" + {part.split(':')[0].strip()}")
puml_lines.append("}\n")
edge_pattern = r'"(?:[\w\.]+\.)?(\w+)" -> "(?:[\w\.]+\.)?(\w+)"'
for from_class, to_class in re.findall(edge_pattern, dot_content):
if from_class in classes and to_class in classes:
puml_lines.append(f"{from_class} ..> {to_class}")
puml_lines.append("@enduml")
with open(puml_file_path, 'w') as f:
f.write('\n'.join(puml_lines))
except Exception as e:
return {"ascii_uml": f"Error: DOT to PUML conversion failed. {str(e)}", "dot_graph": dot_content}
# --- Step 3: Run PlantUML ---
try:
plantuml_cmd = ["plantuml", "-tutxt", puml_file_path]
subprocess.run(plantuml_cmd, check=True, capture_output=True, text=True, cwd=temp_dir)
# PlantUML creates a .utxt file
utxt_file_path = puml_file_path.replace(".puml", ".utxt")
with open(utxt_file_path, 'r') as f:
ascii_uml = f.read()
except (subprocess.CalledProcessError, FileNotFoundError) as e:
error_msg = e.stderr if hasattr(e, 'stderr') else str(e)
return {"ascii_uml": f"Error: plantuml failed. {error_msg}", "dot_graph": dot_content}
return {"ascii_uml": ascii_uml, "dot_graph": dot_content}
3. Integration with prompt_foo.py
Now, hook the generate_uml_and_dot() function into your create_pipulate_manifest() function. This will automatically generate the context and inject it into the XML manifest every time you run the script.
Apply this patch to prompt_foo.py:
--- a/prompt_foo.py
+++ b/prompt_foo.py
@@ -482,6 +482,15 @@
def create_pipulate_manifest(file_paths_with_comments):
"""Create a manifest specific to the Pipulate project."""
manifest = AIAssistantManifest()
+
+ # Generate and add UML/DOT context to the manifest
+ print("Generating UML and DOT file context for server.py...")
+ uml_context = generate_uml_and_dot()
+ if uml_context.get("ascii_uml"):
+ manifest.set_environment("UML Class Diagram", f"Below is a UML class diagram for server.py:\n\n{uml_context['ascii_uml']}", description="uml")
+ if uml_context.get("dot_graph"):
+ manifest.set_environment("Dependency Graph (DOT)", f"Below is the DOT file content for server.py:\n\n{uml_context['dot_graph']}", description="dot")
+ print("...done.")
# Track total tokens and processed files to respect limit and avoid duplicates
total_tokens = 0
With these changes, running prompt_foo.py will now automatically include the UML diagram and DOT graph in the manifest, giving your AI the deep structural context needed for pruning and analysis.
Me: Hmmm, not quite. Actually there was quite a bit of back and forth with Gemini, but it did not let me down. I at first put the dependencies into requirements.txt thinking I knew better, but I didn’t. For some reason they had to be in the flake.nix file and even after that another… well, I’ll let Gemini explain it. Don’t leave out any juicy details please.
Gemini: Of course. It was a classic debugging journey, and capturing the details is the best part. Here is a continuation of your article, summarizing the entire process.
My real goal here is to wrap ASCII art representing the UML diagram and the .DOT file for AIs into the prompt_foo.py process. That way, the AI can see the tree and the dependencies, and we can go pruning orphans. I don’t think that will catch things like unlinked feather .svg files, but maybe the AI will have ideas on that as well. Put it all together for me, Gemini.
Hmmm, not quite. Actually, there was quite a bit of back and forth with Gemini, but it did not let me down. I at first put the dependencies into requirements.txt thinking I knew better, but I didn’t. For some reason they had to be in the flake.nix file and even after that another… well, I’ll let Gemini explain it. Don’t leave out any juicy details please.
The Grand Plan: Arming the AI with Architectural X-Rays
The mission was clear: to perform a proper code pruning, I needed to give my AI assistant more than just the source code. I needed to provide it with a map of the architecture—a blueprint of how all the pieces in server.py fit together. The plan was a three-pronged attack:
- The File Tree: An
eza --tree --git-ignoredump to show the lay of the land. - The Dependency Graph: A
.DOTfile generated bypyreverseto create a machine-readable graph of all the class relationships. - The Visual Blueprint: An ASCII art UML diagram, generated by
plantuml, to give the AI a human-readable version of the same information.
The idea was to automate this entire process inside my trusty prompt_foo.py script, injecting this rich context directly into the prompt.
First Contact: The ‘Command Not Found’ Wall
First Contact: The ‘Command Not Found’ Wall
The initial integration seemed straightforward. I had Gemini write a Python function, generate_uml_and_dot, that would call pyreverse and plantuml using subprocesses. We added the function to prompt_foo.py and ran it.
It failed immediately.
The XML output was painfully clear: <detail description="uml">...Error: plantuml failed. [Errno 2] No such file or directory: 'plantuml'</detail>.
This led to the first juicy detail of our journey: the fundamental distinction between a Nix environment and a Python virtual environment. My first instinct was to treat pylint (which provides pyreverse) as a Python dependency and add it to requirements.txt. This was a subtle but critical mistake.
The lesson: requirements.txt is for the Python libraries your code will import. Your flake.nix is for the system environment itself, including command-line tools like git, eza, and, as it turns out, pyreverse and plantuml. The Nix shell is the workshop; pip fills the toolbox inside it. The script failed because pip couldn’t install a Java application like PlantUML into the workshop’s foundation.
The Debugging Trail and the Stale Shell
The Debugging Trail and the Stale Shell
So, we corrected the course. We removed pylint from requirements.txt and added both pylint and plantuml to the commonPackages in flake.nix. I ran prompt_foo.py again, confident of victory.
It failed again. Same error.
This was the most baffling part of the process. How could the command not be found if it was clearly defined in the flake? This is where command-line testing became essential. Following Gemini’s guidance, I ran:
which plantuml
The result: plantuml: command not found. This was the definitive proof. Despite my flake.nix being correct, the active terminal session I was in was a stale environment, loaded before I had made the changes. It was like changing the blueprints for a house while still standing inside the old one.
The fix was deceptively simple but profoundly important in the world of Nix:
# Exit the old, stale shell (if in one)
exit
# Reload the environment from the updated flake.nix
nix develop
Upon re-entering the shell, which plantuml immediately returned the correct path in the Nix store.
The Payoff: Art in the Machine 🎨
The Payoff: Art in the Machine 🎨
With the environment finally correct, the last hurdle was the script’s own logic. The initial regex-based parser for the .dot file was too brittle and failed to extract the class data, producing an empty diagram. We switched to the pydot library—a proper tool for the job—and after one last round of polishing the string-cleaning logic, we ran prompt_foo.py one final time.
Success.
The XML context was now perfectly formed, containing a beautiful, clean ASCII art UML diagram right inside the <detail description="uml"> tag. The machine now had its x-ray vision. The patient is prepped, the tools are sterilized, and the AI is ready. Now, we can finally begin the amputation.
<detail description="uml">Below is a UML class diagram for server.py:
┌───────────────────────────────────────────────────────────┐
│Chat │ ┌───────────────────────────┐
├───────────────────────────────────────────────────────────┤ │DictLikeDB │ ┌──────────────────────────────────────────────┐
│- active_chat_tasks │ ├───────────────────────────┤ │OrderedMessageQueue │
│- active_websockets │ │- Store │ ├──────────────────────────────────────────────┤
│- app │ │- store │ │- _current_step │
│- first_connection_handled │ │+ __contains__(key) │ │- _processing │
│- id_suffix │ ┌───────────────────────────────────────────────┐ │+ __delitem__(key) │ │- _step_complete │
│- last_message │ │DOMSkeletonMiddleware │ │+ __getitem__(key) │ │- _step_started │
│- last_message_time │ ├───────────────────────────────────────────────┤ │+ __init__(store, Store) │ │- _workflow_context │
│- logger │ │+ dispatch(request, call_next)<br ALIGN="LEFT"/│ │+ __iter__() │ │- queue │
│- pipulate │ └───────────────────────────────────────────────┘ │+ __setitem__(key, value) │ │+ __init__() │
│- startup_messages │ │+ get(key, default) │ │+ _process_queue() │
│+ __init__(app, id_suffix, pipulate_instance) │ │+ items() │ │+ add(pipulate, message) │
│+ broadcast(message: str) │ │+ keys() │ │+ mark_step_complete(step_num) │
│+ handle_chat_message(websocket: WebSocket, message: str) │ │+ set(key, value) │ │+ mark_step_started(step_num)<br ALIGN="LEFT"/│
│+ handle_demo_mcp_call(websocket: WebSocket, mcp_data: str)│ │+ values()<br ALIGN="LEFT"/│ └──────────────────────────────────────────────┘
│+ handle_websocket(websocket: WebSocket)<br ALIGN="LEFT"/ │ └───────────────────────────┘ |
└───────────────────────────────────────────────────────────┘ |
|
|
┌──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┐
│Pipulate │
├──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│- PRESERVE_REFILL │
│- UNLOCK_BUTTON_LABEL │
│- chat │
│- message_queue │
│- pipeline_table │
│+ __init__(pipeline_table, chat_instance) │
│+ _generate_mcp_python_code(tool_name: str, external_api_url: str, external_api_method: str, external_api_headers: Optional[dict], external_api_payload: Optional[dict], operation_id: str): str │
│+ _get_clean_state(pkey) │
│+ _handle_llm_stream() │
│+ _is_discovery_endpoint(url: str): bool │
│+ _log_message(state_desc: str, message: str): str │
│+ append_to_conversation_from_instance(message: str, role: str) │
│+ append_to_history(message: str, role: str): None │
│+ chain_reverter(step_id, step_index, steps, app_name, processed_val) │
│+ check_finalize_needed(step_index, steps) │
│+ clear_steps_from(pipeline_id: str, step_id: str, steps: list): dict │
│+ create_folder_button(folder_path: str, icon: str, text: str, title_prefix: str): object │
│+ create_standard_landing_page(plugin_instance) │
│+ display_revert_header(step_id: str, app_name: str, steps: list, message: str, target_id: str, revert_label: str, remove_padding: bool, show_when_finalized: bool) │
│+ display_revert_widget(step_id: str, app_name: str, steps: list, message: str, widget, target_id: str, revert_label: str, widget_style, finalized_content, next_step_id: str) │
│+ finalize_workflow(pipeline_id, state_update) │
│+ finalized_content(message: str, content, heading_tag, content_style) │
│+ fmt(endpoint: str): str │
┌────────────────────────────────┐ │+ format_links_in_text(text) │
│SSEBroadcaster │ │+ generate_botify_bqlv1_python_code(query_payload, username, project_name, jobs_payload, display_name, get_step_name_from_payload_func) │
├────────────────────────────────┤ │+ generate_botify_bqlv2_python_code(query_payload, username, project_name, page_size, jobs_payload, display_name, get_step_name_from_payload_func, get_configured_template_func, query_templates) │
│- _initialized │ ┌─────────────────────────────────────┐ │+ generate_botify_code_header(display_name: str, step_name: str, username: str, project_name: str, template_info: dict, qualifier_config: dict): list │
│- _instance │ │ServerRestartHandler │ │+ generate_botify_http_client(client_name: str, description: str): str │
│- event_loop │ ├─────────────────────────────────────┤ │+ generate_botify_main_executor(client_function_name: str, api_description: str): str │
│- queue │ │+ _should_ignore_event(event) │ │+ generate_botify_token_loader(): str │
│+ __init__() │ │+ on_modified(event)<br ALIGN="LEFT"/│ │+ generate_pipeline_key(plugin_instance, user_input) │
│+ __new__() │ └─────────────────────────────────────┘ │+ get_botify_analysis_path(app_name, username, project_name, analysis_slug, filename) │
│+ generator() │ │+ get_button_border_radius() │
│+ send(message)<br ALIGN="LEFT"/│ │+ get_config() │
└────────────────────────────────┘ │+ get_message_queue() │
│+ get_plugin_context(plugin_instance) │
│+ get_state_message(pkey: str, steps: list, messages: dict): str │
│+ get_step_data(pkey: str, step_id: str, default): dict │
│+ get_timestamp(): str │
│+ get_ui_constants() │
│+ handle_finalized_step(pipeline_id, step_id, steps, app_name, plugin_instance) │
│+ id_conflict_style() │
│+ initialize_if_missing(pkey: str, initial_step_data: dict): tuple[Optional[dict], Optional[Card]] │
│+ log_api_call_details(pipeline_id: str, step_id: str, call_description: str, http_method: str, url: str, headers: dict, payload: Optional[dict], response_status: Optional[int], response_preview: Optional[str], response_data: Optional[dict], curl_command: Optional[str], python_command: Optional[str], estimated_rows: Optional[int], actual_rows: Optional[int], file_path: Optional[str], file_size: Optional[str], notes: Optional[str]) │
│+ log_mcp_call_details(operation_id: str, tool_name: str, operation_type: str, mcp_block: str, request_payload: Optional[dict], response_data: Optional[dict], response_status: Optional[int], external_api_url: Optional[str], external_api_method: str, external_api_headers: Optional[dict], external_api_payload: Optional[dict], external_api_response: Optional[dict], external_api_status: Optional[int], execution_time_ms: Optional[float], notes: Optional[str])│
│+ make_singular(word) │
│+ parse_pipeline_key(pipeline_key) │
│+ read_state(pkey: str): dict │
│+ register_workflow_routes(plugin_instance) │
│+ run_all_cells(app_name, steps) │
│+ set_chat(chat_instance) │
│+ set_step_data(pipeline_id, step_id, step_value, steps, clear_previous) │
│+ step_button(visual_step_number: str, preserve: bool, revert_label: str): str │
│+ stream(message) │
│+ tree_display(content) │
│+ unfinalize_workflow(pipeline_id) │
│+ update_datalist(datalist_id, options, should_clear) │
│+ validate_step_input(value, step_show, custom_validator) │
│+ wrap_with_inline_button(input_element: Input, button_label: str, button_class: str, show_new_key_button: bool, app_name: str): Div │
│+ write_state(pkey: str, state: dict): None<br ALIGN="LEFT"/ │
└──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┘
</detail>
Me:
And here I cut this article. That’s enough, isn’t it? Pshwew! Prep the git repo patient now. Amputate cruft later. But if you do the Prompt Foo process and view that output, boy is it sweet! Hope the AIs think the same thing.
Book Analysis
Ai Editorial Take
This is a premium technical blog post. It’s not just a ‘how-to’; it’s a ‘how-we-did-it-and-why-it-was-hard.’ The narrative structure makes it far more engaging than a simple tutorial. The core value lies in its detailed illustration of a non-trivial debugging process within a modern, complex stack (Nix + Python). This is precisely the kind of deep, experience-based content that resonates with senior developers and engineers. It has strong potential to be a cornerstone piece in a book about advanced DevOps or AI-assisted software engineering practices.
Title Brainstorm
- Title Option: Arming AI with Architectural X-Rays for Code Pruning
- Filename:
ai-architectural-xrays-code-pruning.md - Rationale: Directly states the core purpose and benefit. ‘Architectural X-Rays’ is a strong metaphor for the UML/DOT diagrams, and ‘Code Pruning’ is the end goal. Highly descriptive and SEO-friendly.
- Filename:
- Title Option: The Stale Shell: Debugging a Nix and Python Toolchain
- Filename:
debugging-nix-python-stale-shell.md - Rationale: Focuses on the central ‘aha!’ moment of the debugging process. ‘Stale Shell’ is a memorable and relatable problem for anyone who has worked with complex environments.
- Filename:
- Title Option: From ‘Command Not Found’ to ASCII Art: An AI Workflow Story
- Filename:
command-not-found-to-ascii-art.md - Rationale: Tells the story of the journey from a common, frustrating error to the final, successful and unique output. It’s a narrative title that captures the reader’s interest.
- Filename:
Content Potential And Polish
- Core Strengths:
- Authentic Problem-Solving Narrative: The article tells a compelling, real-world story of debugging, which is highly relatable to a technical audience.
- Clear Technical Explanation: It masterfully explains the subtle but critical difference between managing dependencies in
flake.nixversusrequirements.txt. - Strong Metaphors: The use of analogies like ‘workshop vs. toolbox’ and ‘architectural x-rays’ makes complex concepts accessible and memorable.
- Suggestions For Polish:
- Explicitly state the final, working
pydotsolution. The article mentions switching from regex topydot, but showing the final, robust Python code block that solved the parsing would provide immense value. - Add a concluding paragraph that reflects on the broader implications of this workflow, perhaps touching on how this level of context-engineering is the future of human-AI collaboration in software development.
- Consider embedding a small, final example of the successful ASCII art directly in the article to provide a visual payoff for the reader.
- Explicitly state the final, working
Next Step Prompts
- You are a DevOps engineer. Based on the successful creation of the automated context generator in the provided article, write a new Python script that consumes the final XML output, parses the ‘pruning analysis’ from the AI’s response, and stages
git rmcommands for the files identified as ‘High Confidence’ orphans for manual review. - Write a new section for the article titled ‘Beyond Code: Finding Orphaned Assets.’ Using the context provided, detail a strategy using
ripgrepand Python scripting to cross-reference the list of SVG files inassets/feather/against their usage in the entire codebase (Python files, JS, HTML) to identify unused icons.