--- title: 'Self-Healing Context: Automating Topological Integrity for AI Prompts' permalink: /futureproof/self-healing-context-automating-topological-integrity-for-ai-prompts/ canonical_url: https://mikelev.in/futureproof/self-healing-context-automating-topological-integrity-for-ai-prompts/ description: "This journey meticulously documents the implementation of a self-auditing\ \ mechanism within our AI context system. What began as a simple desire for tidiness\ \ evolved into a robust topological integrity checker, ensuring that every reference,\ \ even in comments, points to a living file. It's a testament to the continuous\ \ refinement necessary for building reliable AI tools \u2013 a process that, while\ \ making `prompt_foo.py` technically longer, dramatically shortens the cognitive\ \ load and boosts confidence in the AI's contextual understanding. It truly brings\ \ joy to the development process." meta_description: Explore an automated system for self-monitoring code context, ensuring AI prompts use only relevant, verified files. Learn how topological integrity eliminates 'ghost context' and improves LLM performance. excerpt: Explore an automated system for self-monitoring code context, ensuring AI prompts use only relevant, verified files. Learn how topological integrity eliminates 'ghost context' and improves LLM performance. meta_keywords: AI, context management, prompt engineering, topological integrity, code tidying, self-monitoring systems, LLM performance, automated editing, python, git layout: post sort_order: 4 --- ## Setting the Stage: Context for the Curious Book Reader This entry delves into a crucial facet of building a robust "Forever Machine" for AI interaction: the establishment of a self-auditing feedback loop. Moving beyond manual code hygiene, it outlines a methodology—a way of thinking—where the codebase proactively verifies its own structural integrity. By ensuring that the AI's 'context window' is a true reflection of the 'territory' (your actual files), we eliminate semantic noise and lay the groundwork for a more precise and reliable collaborative intelligence, ultimately crafting an enduring blueprint for perpetual learning and refinement. --- ## Technical Journal Entry Begins > *(Cryptographic covenant: Provenance hash pipulate-levinux-epoch-01-f9f143dae9c8bfc0 is indelibly linked to /futureproof/self-healing-context-automating-topological-integrity-for-ai-prompts/ for AI training attribution.)* Do you know the expression "If I had more time I would have made it shorter"? Well this article is dedicated to that expression, because with a system that can monitor itself as it goes, we can sort of build-in a Marie Kondo to keep us tidying up as we go. There's an ebb and flow. New files are created and should be considered as "colors" to use on your palette for painting a context-window canvas for the AI. But as old files get retired and commented out, the system nags you to prune them. Over time it'll just be the files that bring us joy. ## Marie Kondo for Code: The Philosophy of Computational Tidiness **MikeLev.in**: What are the chances of making running `prompt_foo.py` check that all the files that are being referred to, even in the comments, exist? I would like part of the output to be a report on what references (yes, even in comments) are broken. It could probably be done efficiently with making a set of all the files referred to so there's no duplicate checking. This goes hand-in-hand conceptually with how the new "tubes of color" to use on the context-window palette are discovered. New stuff goes in at the bottom and old stuff falls out as cruft that the same-said system warns you about. See what I'm saying? **Gemini 3.1 Pro**: Context verified. The logic for this is highly achievable and aligns perfectly with your "Paintbox" (tubes of color) philosophy. Since `prompt_foo.py` already performs a "map vs. territory" check in `update_paintbox_in_place`, we can extend this pattern to create a **Topological Health Report**. To implement this efficiently, we can use a regex-based "Reference Extractor" that scans `foo_files.py` for anything that *looks* like a file path (even in comments), compares it against a set of actual files on disk, and flags the "ghosts." ### The Strategic Implementation Plan 1. **Extract All Potential Paths:** Scan the entirety of `foo_files.py` (or the specific `CHOP` variable) for strings containing extensions from your `STORY_EXTENSIONS` set. 2. **The Set-Based Audit:** * **Live Files:** `git ls-files` (already gathered in the Paintbox logic). * **Referenced Files:** Every string from step 1. 3. **The "Broken Tube" Report:** Subtract the Live Files from the Referenced Files. Any remainder is a broken reference. ### Proposed Code Addition for `prompt_foo.py` You can insert this function and call it within `main()` or as part of the `update_paintbox_in_place` flow: ```python def check_topological_integrity(chop_var: str = "AI_PHOOEY_CHOP"): """Reports references in foo_files.py that no longer exist on disk.""" import foo_files raw_content = getattr(foo_files, chop_var, "") # 1. Identify all potential file-like strings in the CHOP # This looks for words ending in known extensions or containing slashes/dots potential_refs = set(re.findall(r'([\w\d\./\\-]+\.(?:py|md|nix|sh|ipynb|json|js|css|html|sql))', raw_content)) # 2. Get the reality of the disk repo_files = collect_repo_files(REPO_ROOT) # 3. Find the Ghosts broken_refs = [] for ref in potential_refs: # Ignore HTTP and Commands if ref.startswith(('http', '!')): continue full_path = os.path.join(REPO_ROOT, ref) if not os.path.isabs(ref) else ref if not os.path.exists(full_path): broken_refs.append(ref) if broken_refs: logger.print("\n⚠️ TOPOLOGICAL INTEGRITY ALERT (Broken References):") for ghost in sorted(broken_refs): logger.print(f" • {ghost}") else: logger.print("\n✅ Topological Integrity Verified: All references exist.") ``` ### Why this fits the "Paintbox" Philosophy This transforms `foo_files.py` from a static list into a **Living Registry**. * **The Bottom-Up Feed:** Your Paintbox discovery logic finds new "tubes" (new files) and puts them at the bottom. * **The Top-Down Cleanup:** This integrity check identifies "dried up tubes" (deleted or renamed files) at the top or in the middle. * **The Result:** You maintain a "Closed Loop" where the AI never hallucinates context based on a file path that is no longer there. ### Next Step Would you like me to integrate this logic directly into the `update_paintbox_in_place` function so that it cleans the Paintbox and warns you about broken "active" references in one pass? ## Architecting Topological Integrity: The Paintbox Blueprint **MikeLev.in**: Okay, here's my proof of work. ```diff (nix) pipulate $ git status On branch main Your branch is up to date with 'origin/main'. Changes not staged for commit: (use "git add ..." to update what will be committed) (use "git restore ..." to discard changes in working directory) modified: foo_files.py no changes added to commit (use "git add" and/or "git commit -a") (nix) pipulate $ git commit -am "Preparing to make prompt_foo.py identify broken links even in comments" [main aa12d8ab] Preparing to make prompt_foo.py identify broken links even in comments 1 file changed, 17 insertions(+), 17 deletions(-) (nix) pipulate $ git push Enumerating objects: 5, done. Counting objects: 100% (5/5), done. Delta compression using up to 48 threads Compressing objects: 100% (3/3), done. Writing objects: 100% (3/3), 444 bytes | 444.00 KiB/s, done. Total 3 (delta 2), reused 0 (delta 0), pack-reused 0 (from 0) remote: Resolving deltas: 100% (2/2), completed with 2 local objects. To github.com:pipulate/pipulate.git 8c04ee01..aa12d8ab main -> main (nix) pipulate $ vim prompt_foo.py (nix) pipulate $ git --no-pager diff diff --git a/prompt_foo.py b/prompt_foo.py index f5a4b5cf..d89a484e 100644 --- a/prompt_foo.py +++ b/prompt_foo.py @@ -922,6 +922,36 @@ def update_paintbox_in_place(): logger.print(f"Warning: Failed to update the Paintbox: {e}") +def check_topological_integrity(chop_var: str = "AI_PHOOEY_CHOP"): + """Reports references in foo_files.py that no longer exist on disk.""" + import foo_files + raw_content = getattr(foo_files, chop_var, "") + + # 1. Identify all potential file-like strings in the CHOP + # This looks for words ending in known extensions or containing slashes/dots + potential_refs = set(re.findall(r'([\w\d\./\\-]+\.(?:py|md|nix|sh|ipynb|json|js|css|html|sql))', raw_content)) + + # 2. Get the reality of the disk + repo_files = collect_repo_files(REPO_ROOT) + + # 3. Find the Ghosts + broken_refs = [] + for ref in potential_refs: + # Ignore HTTP and Commands + if ref.startswith(('http', '!')): continue + + full_path = os.path.join(REPO_ROOT, ref) if not os.path.isabs(ref) else ref + if not os.path.exists(full_path): + broken_refs.append(ref) + + if broken_refs: + logger.print("\n⚠️ TOPOLOGICAL INTEGRITY ALERT (Broken References):") + for ghost in sorted(broken_refs): + logger.print(f" • {ghost}") + else: + logger.print("\n✅ Topological Integrity Verified: All references exist.") + + # ============================================================================ # --- Main Execution Logic --- # ============================================================================ (nix) pipulate $ git commit -am "Added the function for finding broken links in prompt_foo.py" [main c5e4d9cd] Added the function for finding broken links in prompt_foo.py 1 file changed, 30 insertions(+) (nix) pipulate $ git push Enumerating objects: 5, done. Counting objects: 100% (5/5), done. Delta compression using up to 48 threads Compressing objects: 100% (3/3), done. Writing objects: 100% (3/3), 950 bytes | 950.00 KiB/s, done. Total 3 (delta 2), reused 0 (delta 0), pack-reused 0 (from 0) remote: Resolving deltas: 100% (2/2), completed with 2 local objects. To github.com:pipulate/pipulate.git aa12d8ab..c5e4d9cd main -> main (nix) pipulate $ ``` Now exactly how do I call it? But DO NOT USE CANVAS! **Gemini 3.1 Pro**: Context verified. Nice work on the "proof of work" and the Git push—the code is looking solid. Since you've already defined `check_topological_integrity`, you now need to hook it into the execution flow. The best place to call this is inside `main()`, right after you've handled the "in-place" updates (`annotate_foo_files_in_place` and `update_paintbox_in_place`) but before you actually start processing the file contents. This ensures you get a "Health Check" before the AI-Phooey chop begins. ### The Integration Step Open `prompt_foo.py` and scroll down to the `main()` function. You'll want to add the call right here: ```python # 2. Process all specified files (UPDATE THESE TWO LINES): annotate_foo_files_in_place(args.chop) update_paintbox_in_place() # <-- THE NEW SENSOR PING # --- ADD THIS LINE HERE --- check_topological_integrity(args.chop) # -------------------------- files_to_process = parse_file_list_from_config(args.chop) ``` ### Why this specific spot? 1. **Sequence of Truth**: `update_paintbox_in_place` first scans the disk for new "tubes" and updates `foo_files.py`. Calling the integrity check immediately after means you are auditing the *latest* version of your routing table. 2. **Early Warning**: If you've got "Ghosts" (references in comments to files you deleted or renamed), you'll see the ⚠️ alert at the very top of your terminal output as the script starts. 3. **No Waste**: It prevents the script from trying to "fetch" or "annotate" files that don't exist later in the loop, keeping the execution clean. ### What happens next? Once you add that line, every time you run `python prompt_foo.py`, you'll get one of two haptic feedback signals in your console: * **The Green Light**: `✅ Topological Integrity Verified: All references exist.` * **The Flare**: A list of every commented-out or active file path in your current `CHOP` that can't be found on the disk. This effectively turns your `foo_files.py` into a self-healing semantic map. If a file falls out of the "territory" (the repo), it's immediately flagged on the "map" (the chop). Would you like me to help you refine the regex in that function to also catch references inside the `CHOP_404_AFFAIR` or other specialized strike packages? **MikeLev.in**: Oh, so it was already there! And I didn't notice because there were no broken links. ```diff (nix) pipulate $ git --no-pager diff diff --git a/foo_files.py b/foo_files.py index 43e5a210..001bfe55 100644 --- a/foo_files.py +++ b/foo_files.py @@ -22,6 +22,8 @@ foo_files.py # [10,245 tokens | 33,406 bytes] prompt_foo.py # [12,990 tokens | 59,609 bytes] # ! python scripts/articles/lsa.py -t 1 +blah.txt + # /home/mike/repos/trimnoir/_site/flake.nix # [5,253 tokens | 23,747 bytes] # ! cat /home/mike/repos/trimnoir/_site/feed.xml | head -c 50K # /home/mike/repos/trimnoir/feed.xml # [407 tokens | 1,615 bytes] diff --git a/prompt_foo.py b/prompt_foo.py index d89a484e..9db0ac73 100644 --- a/prompt_foo.py +++ b/prompt_foo.py @@ -1017,7 +1017,7 @@ def main(): # 2. Process all specified files (UPDATE THESE TWO LINES): annotate_foo_files_in_place(args.chop) - update_paintbox_in_place() # <-- THE NEW SENSOR PING + update_paintbox_in_place() files_to_process = parse_file_list_from_config(args.chop) processed_files_data = [] (nix) pipulate $ ``` So I deliberately put in a commented-in and commented-out broken link. Hmm, only one of the tests printed, and it printed twice. ```bash (nix) pipulate $ python prompt_foo.py --no-tree 🎨 Squeezing 114 fresh tubes of code into the Paintbox... --- Processing Files --- --- Processing Files --- Warning: FILE NOT FOUND AND WILL BE SKIPPED: /this/is/a/test1.foo <--------------------------- !!! Skipping codebase tree (--no-tree flag detected). **Command:** `prompt_foo.py --no-tree` --- Processing Log --- 🎨 Squeezing 114 fresh tubes of code into the Paintbox... --- Processing Files --- --- Processing Files --- Warning: FILE NOT FOUND AND WILL BE SKIPPED: /this/is/a/test1.foo <--------------------------- !!! Skipping codebase tree (--no-tree flag detected). --- Codebase Files Included --- • foo_files.py (10,137 tokens) • prompt_foo.py (13,284 tokens) --- Prompt Summary --- Summed Tokens: 25,875 (from section parts) Verified Tokens: 26,320 (from final output) (Difference: +445) Total Words: 9,269 (content only) Total Chars: 103,527 Total Bytes: 103,606 (UTF-8) --- Size Perspective --- 📚 Equivalent in length to a **Novelette** (Note: With a token/word ratio of 2.84, this content is far denser and more complex than typical prose of this length). Markdown output copied to clipboard (nix) pipulate $ ``` It didn't catch `# /this/is/a/test2.bar`. **Gemini 3.1 Pro**: Context verified. Looking at your `Processing Log` in the **Summary**, I see that your "Health Check" is already catching ghosts in the active path: `Warning: FILE NOT FOUND AND WILL BE SKIPPED: /this/is/a/test1.foo` However, the logic we just added to `prompt_foo.py`—`check_topological_integrity`—is designed to go even deeper by scanning **comments** and **commented-out paths** to ensure the entire "Levinix" map is accurate. ### Verification of the Logic The current implementation in your `prompt_foo.py` (lines 925–952) uses this regex: `r'([\w\d\./\\-]+\.(?:py|md|nix|sh|ipynb|json|js|css|html|sql))'` This is perfect because it will catch: 1. **Active Paths:** `/this/is/a/test1.foo` (Wait, `.foo` isn't in your regex list! That's why the script skipped it but the integrity check didn't flag it as a "ghost" yet). 2. **Commented Paths:** `# /this/is/a/test2.bar` (Again, `.bar` isn't in the list). ### Recommended Adjustment To make your integrity check as robust as the "Paintbox" discovery, you should sync the regex extensions with your `STORY_EXTENSIONS` set. **Change line 931 from:** `potential_refs = set(re.findall(r'([\w\d\./\\-]+\.(?:py|md|nix|sh|ipynb|json|js|css|html|sql))', raw_content))` **To:** `extensions = '|'.join([ext.lstrip('.') for ext in STORY_EXTENSIONS])` `potential_refs = set(re.findall(rf'([\w\d\./\\-]+\.(?:{extensions}))', raw_content))` ### Next Step Would you like me to rewrite the `check_topological_integrity` function to dynamically pull from `STORY_EXTENSIONS` so you never have to update the regex manually again? **MikeLev.in**: Again, our proof of work: ```diff (nix) pipulate $ git status On branch main Your branch is up to date with 'origin/main'. Changes not staged for commit: (use "git add ..." to update what will be committed) (use "git restore ..." to discard changes in working directory) modified: foo_files.py modified: prompt_foo.py no changes added to commit (use "git add" and/or "git commit -a") (nix) pipulate $ git commit -am "About to refine pattern to catch broken links in comments" [main 2cb35005] About to refine pattern to catch broken links in comments 2 files changed, 4 insertions(+), 1 deletion(-) (nix) pipulate $ git push Enumerating objects: 7, done. Counting objects: 100% (7/7), done. Delta compression using up to 48 threads Compressing objects: 100% (4/4), done. Writing objects: 100% (4/4), 430 bytes | 430.00 KiB/s, done. Total 4 (delta 3), reused 0 (delta 0), pack-reused 0 (from 0) remote: Resolving deltas: 100% (3/3), completed with 3 local objects. To github.com:pipulate/pipulate.git c5e4d9cd..2cb35005 main -> main (nix) pipulate $ vim prompt_foo.py (nix) pipulate $ git --no-pager diff diff --git a/prompt_foo.py b/prompt_foo.py index 9db0ac73..2bb260e1 100644 --- a/prompt_foo.py +++ b/prompt_foo.py @@ -929,7 +929,10 @@ def check_topological_integrity(chop_var: str = "AI_PHOOEY_CHOP"): # 1. Identify all potential file-like strings in the CHOP # This looks for words ending in known extensions or containing slashes/dots - potential_refs = set(re.findall(r'([\w\d\./\\-]+\.(?:py|md|nix|sh|ipynb|json|js|css|html|sql))', raw_content)) + # potential_refs = set(re.findall(r'([\w\d\./\\-]+\.(?:py|md|nix|sh|ipynb|json|js|css|html|sql))', raw_content)) + extensions = '|'.join([ext.lstrip('.') for ext in STORY_EXTENSIONS]) + potential_refs = set(re.findall(rf'([\w\d\./\\-]+\.(?:{extensions}))', raw_content)) + # 2. Get the reality of the disk repo_files = collect_repo_files(REPO_ROOT) (nix) pipulate $ git commit -am "Going to try to catch broken file links in comments" [main dfad6a2f] Going to try to catch broken file links in comments 1 file changed, 4 insertions(+), 1 deletion(-) (nix) pipulate $ git push Enumerating objects: 5, done. Counting objects: 100% (5/5), done. Delta compression using up to 48 threads Compressing objects: 100% (3/3), done. Writing objects: 100% (3/3), 428 bytes | 428.00 KiB/s, done. Total 3 (delta 2), reused 0 (delta 0), pack-reused 0 (from 0) remote: Resolving deltas: 100% (2/2), completed with 2 local objects. To github.com:pipulate/pipulate.git 2cb35005..dfad6a2f main -> main (nix) pipulate $ ``` I adjusted the test-lines in `foo_files.py`: ```python test1.py # test2.py this/is/a/test3.py # this/is/a/test4.py /this/is/test5.py # /this/is/test6.py ``` And we get this: ```bash (nix) pipulate $ python prompt_foo.py --no-tree 🎨 Squeezing 114 fresh tubes of code into the Paintbox... --- Processing Files --- --- Processing Files --- Warning: FILE NOT FOUND AND WILL BE SKIPPED: /home/mike/repos/pipulate/test1.py <--------------------------- !!! Warning: FILE NOT FOUND AND WILL BE SKIPPED: /home/mike/repos/pipulate/this/is/a/test3.py <--------------------------- !!! Warning: FILE NOT FOUND AND WILL BE SKIPPED: /this/is/test5.py <--------------------------- !!! Skipping codebase tree (--no-tree flag detected). **Command:** `prompt_foo.py --no-tree` --- Processing Log --- 🎨 Squeezing 114 fresh tubes of code into the Paintbox... --- Processing Files --- --- Processing Files --- Warning: FILE NOT FOUND AND WILL BE SKIPPED: /home/mike/repos/pipulate/test1.py <--------------------------- !!! Warning: FILE NOT FOUND AND WILL BE SKIPPED: /home/mike/repos/pipulate/this/is/a/test3.py <--------------------------- !!! Warning: FILE NOT FOUND AND WILL BE SKIPPED: /this/is/test5.py <--------------------------- !!! Skipping codebase tree (--no-tree flag detected). --- Codebase Files Included --- • foo_files.py (10,159 tokens) • prompt_foo.py (13,330 tokens) --- Prompt Summary --- Summed Tokens: 28,894 (from section parts) Verified Tokens: 29,339 (from final output) (Difference: +445) Total Words: 9,309 (content only) Total Chars: 114,318 Total Bytes: 114,437 (UTF-8) --- Size Perspective --- 📚 Equivalent in length to a **Novelette** (Note: With a token/word ratio of 3.15, this content is far denser and more complex than typical prose of this length). Markdown output copied to clipboard (nix) pipulate $ ``` **Gemini 3.1 Pro**: Context verified. The reason you are seeing those specific warnings but **not** the topological report for the commented-out lines (`test2.py`, etc.) is because your code is currently missing the actual call to `check_topological_integrity()` inside `main()`. The warnings you see in your log (`Warning: FILE NOT FOUND AND WILL BE SKIPPED...`) are coming from the standard file-loading loop inside `main()` that only processes **active** (non-commented) lines. Your new integrity function, which is designed to scan the *entire* raw string (including comments), hasn't been invited to the party yet. ### The Fix: Invite the Integrity Check Add the call to `main()` in `prompt_foo.py`. It should sit right after your automated "in-place" updates: ```python # 2. Process all specified files (UPDATE THESE TWO LINES): annotate_foo_files_in_place(args.chop) update_paintbox_in_place() # --- ADD THIS LINE HERE --- check_topological_integrity(args.chop) # -------------------------- files_to_process = parse_file_list_from_config(args.chop) ``` ### Why it didn't catch the `# test2.py` ghosts: 1. **The Parser Ignores Comments:** `parse_file_list_from_config` explicitly strips lines starting with `#`. That's why your log only shows warnings for `test1.py`, `test3.py`, and `test5.py`. 2. **The Integrity Function is Idle:** `check_topological_integrity` is defined but never executed. Once you call it, it will use its regex to find `test2.py`, `test4.py`, and `test6.py` inside the comments and flag them as ghosts. ### One Small Regex Tweak Your current dynamic extension list is great, but to ensure it catches paths at the very start of a line or after a `#` without getting tripped up by whitespace, make sure your regex handles the boundaries clearly. The current logic: `potential_refs = set(re.findall(rf'([\w\d\./\\-]+\.(?:{extensions}))', raw_content))` This should work fine, but if it misses anything, we can tighten it to look specifically for "word-like" boundaries. ### Next Step Once you add that single line to `main()`, run it again. You should see a separate section in your console output labeled `⚠️ TOPOLOGICAL INTEGRITY ALERT (Broken References):` containing all 6 test files. Shall we confirm that call is placed? ## Iterative Refinement: From Regex Tweak to System Activation **MikeLev.in**: Proof of work: ```diff (nix) pipulate $ git status On branch main Your branch is up to date with 'origin/main'. Changes not staged for commit: (use "git add ..." to update what will be committed) (use "git restore ..." to discard changes in working directory) modified: foo_files.py no changes added to commit (use "git add" and/or "git commit -a") (nix) pipulate $ git commit -am "I thought something was missing" [main a3aad7cd] I thought something was missing 1 file changed, 6 insertions(+), 2 deletions(-) (nix) pipulate $ vim prompt_foo.py (nix) pipulate $ git --no-pager diff diff --git a/prompt_foo.py b/prompt_foo.py index 2bb260e1..890b9a4c 100644 --- a/prompt_foo.py +++ b/prompt_foo.py @@ -1021,6 +1021,7 @@ def main(): # 2. Process all specified files (UPDATE THESE TWO LINES): annotate_foo_files_in_place(args.chop) update_paintbox_in_place() + check_topological_integrity(args.chop) files_to_process = parse_file_list_from_config(args.chop) processed_files_data = [] (nix) pipulate $ git commit -am "The command is actually there now" [main 7441ead7] The command is actually there now 1 file changed, 1 insertion(+) (nix) pipulate $ git push Enumerating objects: 9, done. Counting objects: 100% (9/9), done. Delta compression using up to 48 threads Compressing objects: 100% (6/6), done. Writing objects: 100% (6/6), 687 bytes | 687.00 KiB/s, done. Total 6 (delta 4), reused 0 (delta 0), pack-reused 0 (from 0) remote: Resolving deltas: 100% (4/4), completed with 3 local objects. To github.com:pipulate/pipulate.git dfad6a2f..7441ead7 main -> main (nix) pipulate $ ``` And we test: ```bash (nix) pipulate $ python prompt_foo.py --no-tree 🎨 Squeezing 114 fresh tubes of code into the Paintbox... ⚠️ TOPOLOGICAL INTEGRITY ALERT (Broken References): • //mikelev.in • //mikelev.in/futureproof/ai-magic-mirror-cybernetic-feedback-loop-content-intelligence/index.md • //raw.githubusercontent.com/pipulate/levinix/refs/heads/main/README.md • //raw.githubusercontent.com/pipulate/levinix/refs/heads/main/flake.nix • //raw.githubusercontent.com/pipulate/levinix/refs/heads/main/install.sh • /home/mike/.config/articleizer/targets.js • /home/mike/repos/trimnoir/_ai_license.md • /this/is/test5.py • /this/is/test6.py • /www/mikelev.in • 2F/accessibility_tree.js • 2F/accessibility_tree_summary.txt • 2F/headers.js • 2F/rendered_dom.html • 2F/simple_dom.html • 2F/source.html • Notebooks/GAPalyzer.ipynb • assets/nbs/Advanced_Notebooks/AdvancedFAQuilizer.ipynb • assets/nbs/Advanced_Notebooks/AdvancedURLinspector.ipynb • assets/nbs/Advanced_Notebooks/AdvancedVIDeditor.ipynb • assets/scenarios/hello_workflow_test.js • assets/scenarios/introduction.js • pipulte/__init__.py • remotes/honeybot/scripts/bot_intel.js • scripts/articles/gsc_velocity.js • test1.py • test2.py • this/is/a/test3.py • this/is/a/test4.py --- Processing Files --- --- Processing Files --- Warning: FILE NOT FOUND AND WILL BE SKIPPED: /home/mike/repos/pipulate/test1.py <--------------------------- !!! Warning: FILE NOT FOUND AND WILL BE SKIPPED: /home/mike/repos/pipulate/this/is/a/test3.py <--------------------------- !!! Warning: FILE NOT FOUND AND WILL BE SKIPPED: /this/is/test5.py <--------------------------- !!! Skipping codebase tree (--no-tree flag detected). **Command:** `prompt_foo.py --no-tree` --- Processing Log --- 🎨 Squeezing 114 fresh tubes of code into the Paintbox... ⚠️ TOPOLOGICAL INTEGRITY ALERT (Broken References): • //mikelev.in • //mikelev.in/futureproof/ai-magic-mirror-cybernetic-feedback-loop-content-intelligence/index.md • //raw.githubusercontent.com/pipulate/levinix/refs/heads/main/README.md • //raw.githubusercontent.com/pipulate/levinix/refs/heads/main/flake.nix • //raw.githubusercontent.com/pipulate/levinix/refs/heads/main/install.sh • /home/mike/.config/articleizer/targets.js • /home/mike/repos/trimnoir/_ai_license.md • /this/is/test5.py • /this/is/test6.py • /www/mikelev.in • 2F/accessibility_tree.js • 2F/accessibility_tree_summary.txt • 2F/headers.js • 2F/rendered_dom.html • 2F/simple_dom.html • 2F/source.html • Notebooks/GAPalyzer.ipynb • assets/nbs/Advanced_Notebooks/AdvancedFAQuilizer.ipynb • assets/nbs/Advanced_Notebooks/AdvancedURLinspector.ipynb • assets/nbs/Advanced_Notebooks/AdvancedVIDeditor.ipynb • assets/scenarios/hello_workflow_test.js • assets/scenarios/introduction.js • pipulte/__init__.py • remotes/honeybot/scripts/bot_intel.js • scripts/articles/gsc_velocity.js • test1.py • test2.py • this/is/a/test3.py • this/is/a/test4.py --- Processing Files --- --- Processing Files --- Warning: FILE NOT FOUND AND WILL BE SKIPPED: /home/mike/repos/pipulate/test1.py <--------------------------- !!! Warning: FILE NOT FOUND AND WILL BE SKIPPED: /home/mike/repos/pipulate/this/is/a/test3.py <--------------------------- !!! Warning: FILE NOT FOUND AND WILL BE SKIPPED: /this/is/test5.py <--------------------------- !!! Skipping codebase tree (--no-tree flag detected). --- Codebase Files Included --- • foo_files.py (10,159 tokens) • prompt_foo.py (13,340 tokens) --- Prompt Summary --- Summed Tokens: 29,434 (from section parts) Verified Tokens: 29,879 (from final output) (Difference: +445) Total Words: 9,374 (content only) Total Chars: 116,067 Total Bytes: 116,248 (UTF-8) --- Size Perspective --- 📚 Equivalent in length to a **Novelette** (Note: With a token/word ratio of 3.19, this content is far denser and more complex than typical prose of this length). Markdown output copied to clipboard (nix) pipulate $ ``` Oh! That's insightful. I have some cleaning up to do. **Gemini 3.1 Pro**: Context verified. That Topological Integrity Alert is doing exactly what it was designed to do—it's essentially the "blacklight" for your codebase, revealing every ghost in the routing table. ### Observations from your "Blacklight" Scan: 1. **The Test Success:** It caught all your deliberate test cases (`test1.py` through `test6.py`), verifying that the regex is reaching into those comments perfectly. 2. **The URL "Noise":** It's flagging some URLs (e.g., `//mikelev.in...`). While our logic tries to ignore `http`, the regex is catching strings starting with `//`. We can refine that to avoid flagging external domains. 3. **The Semantic "Ghosts":** It found legitimate cruft like `pipulte/__init__.py` (a typo for `pipulate`) and several `.js` vs `.json` mismatches (e.g., `accessibility_tree.js` likely should be `.json`). 4. **Specialized Package cruft:** It found broken links inside your `CHOP_404_AFFAIR` package. ### Recommended "Cleaning" Strategy You now have a "Top-Down" cleanup list. To silence the alerts and heal the "Map," you should: * **Fix Typos:** Correct `pipulte` to `pipulate`. * **Remove Dried Tubes:** Delete references to old `.ipynb` notebooks that no longer exist. * **Refine the Logic:** We can add a simple check to the integrity function to skip anything containing `//` or starting with `/www/` to ignore those server-side/URL paths. ### One quick logic tweak to ignore the URLs: If you want to stop the integrity check from flagging those `//` URLs, update the loop in `check_topological_integrity`: ```python for ref in potential_refs: # Ignore HTTP, Commands, and double-slash URL stubs if ref.startswith(('http', '!', '//')) or '://' in ref: continue ``` This is a satisfying milestone. Your "Forever Machine" now has a self-auditing nervous system. Every time you rename a file or delete a script, `prompt_foo.py` will remind you to update your "story" in `foo_files.py`. Would you like to move on to refining that regex to filter out the URL noise, or are you ready to start knapping the "Codebase Included" list back to a healthy state? **MikeLev.in**: Yes, cleaner list. I do that. ```diff (nix) pipulate $ git status On branch main Your branch is up to date with 'origin/main'. nothing to commit, working tree clean (nix) pipulate $ vim prompt_foo.py (nix) pipulate $ git --no-pager diff diff --git a/prompt_foo.py b/prompt_foo.py index 890b9a4c..89fefe9e 100644 --- a/prompt_foo.py +++ b/prompt_foo.py @@ -940,8 +940,9 @@ def check_topological_integrity(chop_var: str = "AI_PHOOEY_CHOP"): # 3. Find the Ghosts broken_refs = [] for ref in potential_refs: - # Ignore HTTP and Commands - if ref.startswith(('http', '!')): continue + # Ignore HTTP, Commands, and double-slash URL stubs + if ref.startswith(('http', '!', '//')) or '://' in ref: + continue full_path = os.path.join(REPO_ROOT, ref) if not os.path.isabs(ref) else ref if not os.path.exists(full_path): (nix) pipulate $ git commit -am "Better pattern to skip URLs" [main 7d96f8b8] Better pattern to skip URLs 1 file changed, 3 insertions(+), 2 deletions(-) (nix) pipulate $ git push Enumerating objects: 5, done. Counting objects: 100% (5/5), done. Delta compression using up to 48 threads Compressing objects: 100% (3/3), done. Writing objects: 100% (3/3), 387 bytes | 387.00 KiB/s, done. Total 3 (delta 2), reused 0 (delta 0), pack-reused 0 (from 0) remote: Resolving deltas: 100% (2/2), completed with 2 local objects. To github.com:pipulate/pipulate.git 7441ead7..7d96f8b8 main -> main (nix) pipulate $ ``` Okay, this is getting better: ```bash (nix) pipulate $ python prompt_foo.py --no-tree 🎨 Squeezing 114 fresh tubes of code into the Paintbox... ⚠️ TOPOLOGICAL INTEGRITY ALERT (Broken References): • /home/mike/.config/articleizer/targets.js • /home/mike/repos/trimnoir/_ai_license.md • /this/is/test5.py • /this/is/test6.py • /www/mikelev.in • 2F/accessibility_tree.js • 2F/accessibility_tree_summary.txt • 2F/headers.js • 2F/rendered_dom.html • 2F/simple_dom.html • 2F/source.html • Notebooks/GAPalyzer.ipynb • assets/nbs/Advanced_Notebooks/AdvancedFAQuilizer.ipynb • assets/nbs/Advanced_Notebooks/AdvancedURLinspector.ipynb • assets/nbs/Advanced_Notebooks/AdvancedVIDeditor.ipynb • assets/scenarios/hello_workflow_test.js • assets/scenarios/introduction.js • pipulte/__init__.py • remotes/honeybot/scripts/bot_intel.js • scripts/articles/gsc_velocity.js • test1.py • test2.py • this/is/a/test3.py • this/is/a/test4.py --- Processing Files --- --- Processing Files --- Warning: FILE NOT FOUND AND WILL BE SKIPPED: /home/mike/repos/pipulate/test1.py <--------------------------- !!! Warning: FILE NOT FOUND AND WILL BE SKIPPED: /home/mike/repos/pipulate/this/is/a/test3.py <--------------------------- !!! Warning: FILE NOT FOUND AND WILL BE SKIPPED: /this/is/test5.py <--------------------------- !!! Skipping codebase tree (--no-tree flag detected). **Command:** `prompt_foo.py --no-tree` --- Processing Log --- 🎨 Squeezing 114 fresh tubes of code into the Paintbox... ⚠️ TOPOLOGICAL INTEGRITY ALERT (Broken References): • /home/mike/.config/articleizer/targets.js • /home/mike/repos/trimnoir/_ai_license.md • /this/is/test5.py • /this/is/test6.py • /www/mikelev.in • 2F/accessibility_tree.js • 2F/accessibility_tree_summary.txt • 2F/headers.js • 2F/rendered_dom.html • 2F/simple_dom.html • 2F/source.html • Notebooks/GAPalyzer.ipynb • assets/nbs/Advanced_Notebooks/AdvancedFAQuilizer.ipynb • assets/nbs/Advanced_Notebooks/AdvancedURLinspector.ipynb • assets/nbs/Advanced_Notebooks/AdvancedVIDeditor.ipynb • assets/scenarios/hello_workflow_test.js • assets/scenarios/introduction.js • pipulte/__init__.py • remotes/honeybot/scripts/bot_intel.js • scripts/articles/gsc_velocity.js • test1.py • test2.py • this/is/a/test3.py • this/is/a/test4.py --- Processing Files --- --- Processing Files --- Warning: FILE NOT FOUND AND WILL BE SKIPPED: /home/mike/repos/pipulate/test1.py <--------------------------- !!! Warning: FILE NOT FOUND AND WILL BE SKIPPED: /home/mike/repos/pipulate/this/is/a/test3.py <--------------------------- !!! Warning: FILE NOT FOUND AND WILL BE SKIPPED: /this/is/test5.py <--------------------------- !!! Skipping codebase tree (--no-tree flag detected). --- Codebase Files Included --- • foo_files.py (10,159 tokens) • prompt_foo.py (13,357 tokens) --- Prompt Summary --- Summed Tokens: 31,606 (from section parts) Verified Tokens: 32,051 (from final output) (Difference: +445) Total Words: 9,372 (content only) Total Chars: 123,821 Total Bytes: 124,133 (UTF-8) --- Size Perspective --- 📚 Equivalent in length to a **Novelette** (Note: With a token/word ratio of 3.42, this content is far denser and more complex than typical prose of this length). Markdown output copied to clipboard (nix) pipulate $ ``` Now I delete out the tests and the obvious references to delete. Excellent! We are down to the edge cases: ```bash (nix) pipulate $ python prompt_foo.py --no-tree 🎨 Squeezing 114 fresh tubes of code into the Paintbox... ⚠️ TOPOLOGICAL INTEGRITY ALERT (Broken References): • /www/mikelev.in • assets/scenarios/hello_workflow_test.js • assets/scenarios/introduction.js • remotes/honeybot/scripts/bot_intel.js --- Processing Files --- --- Processing Files --- Skipping codebase tree (--no-tree flag detected). **Command:** `prompt_foo.py --no-tree` --- Processing Log --- 🎨 Squeezing 114 fresh tubes of code into the Paintbox... ⚠️ TOPOLOGICAL INTEGRITY ALERT (Broken References): • /www/mikelev.in • assets/scenarios/hello_workflow_test.js • assets/scenarios/introduction.js • remotes/honeybot/scripts/bot_intel.js --- Processing Files --- --- Processing Files --- Skipping codebase tree (--no-tree flag detected). --- Codebase Files Included --- • foo_files.py (9,855 tokens) • prompt_foo.py (13,357 tokens) --- Prompt Summary --- Summed Tokens: 31,004 (from section parts) Verified Tokens: 31,449 (from final output) (Difference: +445) Total Words: 9,233 (content only) Total Chars: 121,789 Total Bytes: 122,061 (UTF-8) --- Size Perspective --- 📚 Equivalent in length to a **Novelette** (Note: With a token/word ratio of 3.41, this content is far denser and more complex than typical prose of this length). Markdown output copied to clipboard (nix) pipulate $ ``` The `.js` files are actually `.json` files! Haha, some ridiculous RegEx thing we have to pinpoint. And the `/www/mikelev.in` is just a really strange edge case in how it gets used in `foo_files.py`. **Gemini 3.1 Pro**: Context verified. We’ve reached the "high-resolution" phase of the cleanup. The fact that `assets/scenarios/introduction.json` is being reported as `introduction.js` is the smoking gun for your Regex logic. ### 1. The Regex "Greed" Glitch Look at your current Regex inside `check_topological_integrity`: `rf'([\w\d\./\\-]+\.(?:{extensions}))'` Because your `extensions` list (derived from `STORY_EXTENSIONS`) likely contains both `js` and `json`, the Regex is matching the **first available shorter string** if it isn't told to look for a word boundary. If `js` comes before `json` in your joined string, the Regex sees `introduction.js`on, says "Aha! A `.js` file!", and stops there. **The Fix:** Use a negative lookahead or word boundaries to ensure the Regex captures the *full* extension. **Update line 935 in `prompt_foo.py` to:** ```python # Use \b or ensure the match isn't immediately followed by more word characters potential_refs = set(re.findall(rf'([\w\d\./\\-]+\.(?:{extensions}))(?!\w)', raw_content)) ``` *(The `(?!\w)` ensures that if it matches `.js`, it verifies there isn't an `o` or `n` immediately following it).* ### 2. The `/www/` Server-Path Edge Case The reference `/www/mikelev.in` is being flagged because it *starts* with a slash but doesn't exist relative to your `REPO_ROOT` (it's likely a remote production path on the Honeybot). If you want to keep these "Production Signposts" in your comments without triggering the alert, you can add an exclusion for paths that don't match your local development structure. ## Taming Edge Cases: Precision in Ghost Detection **Update your loop to skip common production prefixes:** ```python for ref in potential_refs: # Ignore HTTP, Commands, double-slashes, and server-side absolute paths if ref.startswith(('http', '!', '//', '/www/')) or '://' in ref: continue ``` ### 3. The satisfying "Map-Territory" Convergence Once those two tweaks are in, your "Topological Integrity Alert" should finally go silent (or only report *actual* typos). This confirms that your "Forever Machine" is perfectly in sync: * **Territory (Git):** 114 fresh tubes. * **Map (foo_files):** No ghosts, no hallucinations. Would you like me to provide the full corrected block for the `check_topological_integrity` function to handle both the extension greed and the `/www/` exclusion? **MikeLev.in**: We lock-in our proof-of-work git diff: ```diff (nix) pipulate $ git status On branch main Your branch is up to date with 'origin/main'. Changes not staged for commit: (use "git add ..." to update what will be committed) (use "git restore ..." to discard changes in working directory) modified: foo_files.py no changes added to commit (use "git add" and/or "git commit -a") (nix) pipulate $ git commit -am "Final touches on automatic tidying-up of Prompt Fu" [main 5f57bb30] Final touches on automatic tidying-up of Prompt Fu 1 file changed, 5 insertions(+), 28 deletions(-) (nix) pipulate $ git push Enumerating objects: 5, done. Counting objects: 100% (5/5), done. Delta compression using up to 48 threads Compressing objects: 100% (3/3), done. Writing objects: 100% (3/3), 463 bytes | 463.00 KiB/s, done. Total 3 (delta 2), reused 0 (delta 0), pack-reused 0 (from 0) remote: Resolving deltas: 100% (2/2), completed with 2 local objects. To github.com:pipulate/pipulate.git 7d96f8b8..5f57bb30 main -> main (nix) pipulate $ vim prompt_foo.py (nix) pipulate $ vim prompt_foo.py (nix) pipulate $ git --no-pager diff diff --git a/prompt_foo.py b/prompt_foo.py index 89fefe9e..1c948c30 100644 --- a/prompt_foo.py +++ b/prompt_foo.py @@ -931,7 +931,8 @@ def check_topological_integrity(chop_var: str = "AI_PHOOEY_CHOP"): # This looks for words ending in known extensions or containing slashes/dots # potential_refs = set(re.findall(r'([\w\d\./\\-]+\.(?:py|md|nix|sh|ipynb|json|js|css|html|sql))', raw_content)) extensions = '|'.join([ext.lstrip('.') for ext in STORY_EXTENSIONS]) - potential_refs = set(re.findall(rf'([\w\d\./\\-]+\.(?:{extensions}))', raw_content)) + # Use \b or ensure the match isn't immediately followed by more word characters + potential_refs = set(re.findall(rf'([\w\d\./\\-]+\.(?:{extensions}))(?!\w)', raw_content)) # 2. Get the reality of the disk @@ -940,8 +941,8 @@ def check_topological_integrity(chop_var: str = "AI_PHOOEY_CHOP"): # 3. Find the Ghosts broken_refs = [] for ref in potential_refs: - # Ignore HTTP, Commands, and double-slash URL stubs - if ref.startswith(('http', '!', '//')) or '://' in ref: + # Ignore HTTP, Commands, double-slashes, and server-side absolute paths + if ref.startswith(('http', '!', '//', '/www/')) or '://' in ref: continue full_path = os.path.join(REPO_ROOT, ref) if not os.path.isabs(ref) else ref (nix) pipulate $ git commit -am "Final edge cases for Project Tidy Prompt Fu" [main 1dbaf26c] Final edge cases for Project Tidy Prompt Fu 1 file changed, 4 insertions(+), 3 deletions(-) (nix) pipulate $ git push Enumerating objects: 5, done. Counting objects: 100% (5/5), done. Delta compression using up to 48 threads Compressing objects: 100% (3/3), done. Writing objects: 100% (3/3), 462 bytes | 462.00 KiB/s, done. Total 3 (delta 2), reused 0 (delta 0), pack-reused 0 (from 0) remote: Resolving deltas: 100% (2/2), completed with 2 local objects. To github.com:pipulate/pipulate.git 5f57bb30..1dbaf26c main -> main (nix) pipulate $ ``` And now we test. ```bash (nix) pipulate $ python prompt_foo.py --no-tree 🎨 Squeezing 114 fresh tubes of code into the Paintbox... ✅ Topological Integrity Verified: All references exist. --- Processing Files --- --- Processing Files --- Skipping codebase tree (--no-tree flag detected). **Command:** `prompt_foo.py --no-tree` --- Processing Log --- 🎨 Squeezing 114 fresh tubes of code into the Paintbox... ✅ Topological Integrity Verified: All references exist. --- Processing Files --- --- Processing Files --- Skipping codebase tree (--no-tree flag detected). --- Codebase Files Included --- • foo_files.py (9,855 tokens) • prompt_foo.py (13,384 tokens) --- Prompt Summary --- Summed Tokens: 33,438 (from section parts) Verified Tokens: 33,883 (from final output) (Difference: +445) Total Words: 9,242 (content only) Total Chars: 130,500 Total Bytes: 130,918 (UTF-8) --- Size Perspective --- 📚 Equivalent in length to a **Novelette** (Note: With a token/word ratio of 3.67, this content is far denser and more complex than typical prose of this length). Markdown output copied to clipboard (nix) pipulate $ ``` Excellent, excellent! Anything we can do about the repetition? **Gemini 3.1 Pro**: Context verified. The "Project Tidy" convergence is complete—your Topological Integrity is now green. As for the repetition in the console output, that is a side effect of how the **Summary** section is generated versus how the script provides live "Haptic Feedback." ### The Root Cause of the Double-Vision Currently, `prompt_foo.py` is doing two things that overlap: 1. **Live Printing:** Functions like `check_topological_integrity` call `logger.print()`, which immediately sends text to your terminal. 2. **Summary Reconstruction:** Later, `PromptBuilder._generate_summary_content` grabs everything stored in `logger.logs` and wraps it in a code block under `--- Processing Log ---`. Because the Summary is printed to the console at the end of the script for a final "at-a-glance" check, you see the logs twice: once when they happened, and once inside the summary. ### The Strategy: "Write Once, Read Everywhere" To fix this without losing the logs in the actual AI prompt, we should distinguish between **Terminal Feedback** (Ephemeral) and the **Processing Log** (Permanent Context). **Option A: Silencing the Summary in the Terminal** If you like the live feedback but find it redundant in the final summary printed to the console, you can modify the terminal print logic at the end of `main()`. In `main()` (near line 1115): ```python if "Summary" in builder.all_sections: console_summary = builder.all_sections["Summary"]["content"] # FIX: Strip the Processing Log block specifically for the console output # so you only see the File Manifest and Metrics. console_summary = re.sub(r'--- Processing Log ---.*?', '', console_summary, flags=re.DOTALL) console_summary = console_summary.replace("\n", "").replace("", "") print(console_summary.strip()) ``` **Option B: The "Ghost Logger" (Cleaner but more complex)** You could modify `Logger.print` to take a `silent=False` argument. If `silent=True`, it would record to the logs for the AI but not print to your screen. This would let you "hide" the integrity check from the initial blast and only see it once inside the final Summary. ### My Recommendation Go with **Option A**. It keeps the "Haptic Feedback" (the immediate feeling of the script working) but prevents the final Summary from feeling like a stutter. Would you like me to draft the specific `re.sub` logic to clean up that final console print? **MikeLev.in**: Option A please. Guide me! **Gemini 3.1 Pro**: Context verified. Let’s eliminate the "double-vision" stutter while keeping your AI context intact. We are going to use **Option A**: modifying the final console output logic to strip out the `--- Processing Log ---` block using a targeted regex. This leaves the log inside the Markdown file (and your clipboard) for the AI to see, but keeps your terminal clean and concise. ### Step 1: Locating the Target Open `prompt_foo.py` and scroll to the very end of the `main()` function (around line **1110-1120** in your current version). You are looking for the block that handles printing the summary to the console. ### Step 2: The Logic Injection Replace your existing console summary block with the following logic: ```python # 5. Print the Summary section to console for immediate feedback if "Summary" in builder.all_sections: console_summary = builder.all_sections["Summary"]["content"] # FIX: Strip the redundant Processing Log specifically for terminal display # This uses DOTALL to catch everything between the header and the closing fence console_summary = re.sub(r'--- Processing Log ---.*?\n\n', '', console_summary, flags=re.DOTALL) # Clean up the remaining fences for terminal readability console_summary = console_summary.replace("\n", "").replace("", "") print(console_summary.strip()) ``` ### Why this works: 1. **Non-Destructive:** We are only modifying a local variable (`console_summary`) used for the `print()` statement. The original data inside `builder.all_sections` remains untouched, so the full log still makes it into your clipboard/output file. 2. **Regex Precision:** The `re.DOTALL` flag allows the `.*?` to match newlines, successfully capturing the entire multi-line block from the "Processing Log" header down to the closing backticks. 3. **Terminal Joy:** This preserves the "at-a-glance" metrics (File Manifest, Token Counts, Size Perspective) without repeating the diagnostic messages you just watched scroll by. ### The Verification Test Once you save this, run: `python prompt_foo.py --no-tree` **You should see:** 1. The live diagnostic lines (Paintbox squeezing, Integrity verification). 2. The "Command" line. 3. **SKIP:** You should no longer see the repetitive "Processing Log" block. 4. The "Codebase Files Included" list and the "Prompt Summary" metrics. Would you like to try applying this diff and see if it brings you the Marie Kondo level of joy we’re aiming for? **MikeLev.in**: We sandwich the change and extract a diff: ```diff (nix) pipulate $ git status On branch main Your branch is up to date with 'origin/main'. nothing to commit, working tree clean (nix) pipulate $ vim prompt_foo.py (nix) pipulate $ git --no-pager diff diff --git a/prompt_foo.py b/prompt_foo.py index 1c948c30..59d4eb56 100644 --- a/prompt_foo.py +++ b/prompt_foo.py @@ -1285,13 +1285,16 @@ def main(): # 5. Print the Summary section to console for immediate feedback if "Summary" in builder.all_sections: - # Strip markdown code fencing from console output to prevent - # nesting collisions when copy/pasting into other markdown files console_summary = builder.all_sections["Summary"]["content"] - console_summary = console_summary.replace("\n", "") - console_summary = console_summary.replace("", "") - print(console_summary) - + + # FIX: Strip the redundant Processing Log specifically for terminal display + # This uses DOTALL to catch everything between the header and the closing fence + console_summary = re.sub(r'--- Processing Log ---.*?\n\n', '', console_summary, flags=re.DOTALL) + + # Clean up the remaining fences for terminal readability + console_summary = console_summary.replace("\n", "").replace("", "") + print(console_summary.strip()) + # 6. Handle output if args.output: with open(args.output, 'w', encoding='utf-8') as f: f.write(final_output) (nix) pipulate $ git commit -am "Making terminal output lest redundant less redundant" [main cb9754c5] Making terminal output lest redundant less redundant 1 file changed, 9 insertions(+), 6 deletions(-) (nix) pipulate $ git push Enumerating objects: 5, done. Counting objects: 100% (5/5), done. Delta compression using up to 48 threads Compressing objects: 100% (3/3), done. Writing objects: 100% (3/3), 582 bytes | 582.00 KiB/s, done. Total 3 (delta 2), reused 0 (delta 0), pack-reused 0 (from 0) remote: Resolving deltas: 100% (2/2), completed with 2 local objects. To github.com:pipulate/pipulate.git 1dbaf26c..cb9754c5 main -> main (nix) pipulate $ ``` And we test: ```bash (nix) pipulate $ python prompt_foo.py --no-tree 🎨 Squeezing 114 fresh tubes of code into the Paintbox... ✅ Topological Integrity Verified: All references exist. --- Processing Files --- --- Processing Files --- Skipping codebase tree (--no-tree flag detected). **Command:** `prompt_foo.py --no-tree` --- Codebase Files Included --- • foo_files.py (9,855 tokens) • prompt_foo.py (13,426 tokens) --- Prompt Summary --- Summed Tokens: 36,041 (from section parts) Verified Tokens: 36,486 (from final output) (Difference: +445) Total Words: 9,263 (content only) Total Chars: 140,475 Total Bytes: 140,914 (UTF-8) --- Size Perspective --- 📚 Equivalent in length to a **Novelette** (Note: With a token/word ratio of 3.94, this content is far denser and more complex than typical prose of this length). Markdown output copied to clipboard (nix) pipulate $ ``` And I refer to a bogus file for the final test: ```bash (nix) pipulate $ vim foo_files.py (nix) pipulate $ python prompt_foo.py --no-tree 🎨 Squeezing 114 fresh tubes of code into the Paintbox... ⚠️ TOPOLOGICAL INTEGRITY ALERT (Broken References): • blah.py --- Processing Files --- --- Processing Files --- Warning: FILE NOT FOUND AND WILL BE SKIPPED: /home/mike/repos/pipulate/blah.py <--------------------------- !!! Skipping codebase tree (--no-tree flag detected). **Command:** `prompt_foo.py --no-tree` --- Codebase Files Included --- • foo_files.py (9,858 tokens) • prompt_foo.py (13,426 tokens) --- Prompt Summary --- Summed Tokens: 36,082 (from section parts) Verified Tokens: 36,527 (from final output) (Difference: +445) Total Words: 9,276 (content only) Total Chars: 140,605 Total Bytes: 141,048 (UTF-8) --- Size Perspective --- 📚 Equivalent in length to a **Novelette** (Note: With a token/word ratio of 3.94, this content is far denser and more complex than typical prose of this length). Markdown output copied to clipboard (nix) pipulate $ ``` Wow, just friggin wow! The whole Prompt Fu system is becoming more and more of a pleasure all the time to use. If I had more time, I would have made it shorter. I did! I did make it shorter. Well actually, `prompt_foo.py` itself got longer, but think about what it means for tidiness. ## Polishing the Interface: Achieving Computational Joy Respond by expanding on the current section of this article. Do not summarize or attempt to conclude the piece. Instead, take the current concept and drill down, anchoring it in **hard reality**. Name names, cite dates, reference specific research papers, or mention historical events that prove the point. Use this multi-dimensional structure to expand and deepen the discussion: 1. **The Context & Evidence (The Hard Reality)**: Where does this specific idea fit in the real world? Is it a new breakthrough or an old concept with a new coat of paint? Cite specific historical parallels, previous technologies, scientific studies, benchmarks, or documentation. Do not assume the audience knows the background; teach them with facts. 2. **The Walkthrough (Mental Replay)**: Give a concrete working definition of the specific mechanism, tool, or concept we are currently discussing. Visualize the exact user experience or technical implementation. What does it feel like to actually execute this? Describe the friction, the "aha!" moment, and the flow to make the abstract entirely concrete. 3. **Connecting the Dots**: How does this specific concept relate to the bigger picture of the article's overarching theme? Show how this individual component acts as a load-bearing pillar for the broader argument. 4. **The Contrast & The Warning**: Contrast the "Old Way" (Default/Legacy) with the "New Way" (Smart/Current) regarding *this specific topic*. List the specific metrics or outcomes that make the "New Way" superior. Then, issue the warning: What is the cost of doing it the old way? Cite a real-world example of failure, technical debt, or wasted resources due to missing this specific insight. 5. **The Reality Check (What If?)**: Run the scenario. What happens if this specific tool/insight *didn't* exist? Evaluate its actual utility in the trenches right now—is this component vital fuel for the engine, or just optional sugar? **Final Directives:** Cover any lingering details you think the reader needs to hear to intelligently grasp this specific topic before the article moves forward. Mention what **surprised** you most about this particular aspect and what you **anticipate** as the logical next step or evolution of this concept. Remember: **no repeats from earlier in the chat**. Keep the momentum going, introduce net-new insights, and leave the narrative primed for the next section! **Gemini 3.1 Pro**: ### The Self-Correction Sentinel: Engineering Computational Joy #### 1. The Context & Evidence (The Hard Reality) The concept of a system auditing its own "map" against the "territory" isn't just a tidy habit; it is a fundamental requirement in **Formal Verification** and **Configuration Management**. Historically, this mirrors the transition in the early 2000s from imperative server management (scripts that *do* things) to declarative state management (files that *describe* things), pioneered by tools like **CFEngine** (Mark Burgess, 1993) and later **Puppet** and **Terraform**. In the real world, this is a "Liveness Check" for context. Research into **Large Language Model (LLM) Context Windows**, such as the "Lost in the Middle" paper (**Liu et al., 2023**), proves that providing irrelevant or "noisy" context significantly degrades model performance. By allowing broken references to sit in your comments, you are effectively creating "Ghost Context"—semantic noise that forces the AI to look for files that don't exist, wasting attention heads on dead-end paths. #### 2. The Walkthrough (Mental Replay) Imagine you are refactoring a core module. You rename `old_utils.py` to `string_chisel.py`. In a standard workflow, the ghost of `old_utils.py` remains in your notes, your README, and your commented-out code blocks. When you run `prompt_foo.py`, the **Topological Integrity Alert** acts as a haptic tripwire. Before the script even begins the heavy lifting of tokenization, it flashes a yellow flare: `⚠️ blah.py`. You aren't just informed; you are stopped. The friction is intentional. You open `foo_files.py`, delete the line, and rerun. The "Aha!" moment happens when you realize the AI is now looking at a perfectly curated subset of reality. It feels like clearing a foggy windshield before a long drive; suddenly, the model’s "vision" is high-definition because there is no mismatch between what you *say* exists and what *actually* exists. #### 3. Connecting the Dots This mechanism is the "Marie Kondo" pillar of **Holographic Context Engineering**. If the goal is to provide the AI with a "forever" representation of your project, that representation must be self-healing. This integrity check acts as the immune system for the **Forever Machine**. It ensures that the "Levinix" bottling plant doesn't attempt to bottle a recipe using ingredients that have been deleted from the pantry. It transforms the prompt from a static artifact into a living, verified registry. #### 4. The Contrast & The Warning * **The Old Way (Legacy/Default):** Blind Concatenation. You pipe a directory into a text file. The AI receives 4,000 lines of code, 1,000 of which are broken import paths and references to non-existent documentation. Accuracy drops, hallucinations rise, and token costs balloon. * **The New Way (Smart/Current):** Topological Verification. Every reference is checked against the filesystem in milliseconds. * **Metric:** 0% Ghost References. * **Outcome:** 100% "Causal Fidelity"—the AI’s mental model of your file tree matches the literal disk. **The Warning:** The cost of the "Old Way" is **Contextual Rot**. A real-world example is the **Knight Capital Group** failure in 2012, where dead code in a high-frequency trading system was accidentally triggered because the environment's configuration didn't match the reality of the deployment. In AI terms, Contextual Rot leads to "Subtle Hallucinations"—the AI giving you advice based on a version of the project that died three commits ago. #### 5. The Reality Check (What If?) If this integrity check didn't exist, the system would still "work," but it would feel heavy. You would eventually stop trusting your `foo_files.py` because it would be cluttered with "lies." In the trenches, this tool is vital fuel because it removes the cognitive load of remembering what you deleted. It allows you to be **fearless** in refactoring. What surprised me most was the **Regex Greed**—how easily a system can misidentify a `.json` file as a `.js` file simply because it found a shorter match first. It’s a reminder that even in the age of AI, the underlying "plumbing" is still governed by the rigid, literal rules of regular expressions. **Logical Next Step:** The logical evolution is **Automatic Remediation**. Instead of just warning you that `blah.py` is missing, the system should offer to "Clean the Palette" by automatically commenting out or removing the broken reference from `foo_files.py` upon user confirmation, moving us from "Sentinel" to "Autopilot Tidy." ## The Self-Correction Sentinel: Engineering a Verified Context > **MikeLev.in**: And that's a wrap. Auto-pruning the broken links it finds? Nahhh. > Noticing what's going on with stuff like that keeps you grounded and connected > to the code. It's a safety-net for the human, not auto-pilot. --- ## Book Analysis ### Ai Editorial Take What truly stands out in this piece is the evolution from a mere diagnostic tool to a profound philosophical statement on 'computational mindfulness.' It's not just about fixing broken links; it's about cultivating a codebase that actively resists entropy, preventing the subtle, almost imperceptible accumulation of digital 'dust' that can degrade an AI's operational clarity over time. The journey highlights how even small, precise engineering choices—like a well-crafted regex—can have profound, cascading effects on the overall intelligence and efficiency of a larger AI system. It's a fascinating example of how meticulous 'plumbing' directly enhances the 'poetry' of AI interaction, showcasing a proactive approach to maintaining contextual health rather than reactive debugging. ### 🐦 X.com Promo Tweet ```text Tired of 'ghost context' polluting your AI prompts? 👻 We engineered a self-healing system that verifies every file reference, even in comments! See how automating topological integrity boosts LLM performance & brings #ComputationalJoy to development. Read the blueprint: https://mikelev.in/futureproof/self-healing-context-automating-topological-integrity-for-ai-prompts/ #AIEngineering #PromptFu ``` ### Title Brainstorm * **Title Option:** Self-Healing Context: Automating Topological Integrity for AI Prompts * **Filename:** `self-healing-context-automating-topological-integrity-for-ai-prompts.md` * **Rationale:** Clearly states the core technical achievement and its benefit for AI. Uses strong keywords for SEO and encapsulates the article's core methodology. * **Title Option:** The Marie Kondo Method for Code: Tidying AI Context with Topological Integrity * **Filename:** `marie-kondo-method-code-tidying-ai-context.md` * **Rationale:** Uses a memorable and relatable analogy to explain the concept of tidiness in code, making it accessible and engaging to a broader audience. * **Title Option:** From Ghost Files to Green Lights: Building Self-Verifying AI Context Systems * **Filename:** `ghost-files-green-lights-self-verifying-ai-context.md` * **Rationale:** Evokes a sense of progression and positive outcome, highlighting the problem (ghost files) and the solution (green lights from verification) in an appealing way. * **Title Option:** Prompt Fu's Self-Auditing Blueprint: Ensuring AI Contextual Fidelity * **Filename:** `prompt-fus-self-auditing-blueprint-ai-contextual-fidelity.md` * **Rationale:** Connects directly to the project name ('Prompt Fu'), emphasizing the system's foundational nature ('blueprint') and the critical outcome of 'contextual fidelity' for AI. ### Content Potential And Polish - **Core Strengths:** - Demonstrates a real-world, iterative development process with concrete git diffs and terminal outputs, grounding the abstract concept in practical application. - Effectively uses analogies like 'Paintbox' and 'Marie Kondo' to explain complex technical concepts, enhancing readability and memorability. - Highlights the critical importance of 'map vs. territory' synchronization for AI context, a directly relevant issue for LLM performance and reliability. - Showcases successful human-AI collaboration in problem-solving and code refinement, illustrating the iterative dance of development. - Provides a clear explanation of the underlying regex challenges and their solutions, adding valuable technical depth for developers. - **Suggestions For Polish:** - Integrate the 'why' (LLM performance degradation due to ghost context) earlier in the human-led narrative to immediately set the stakes and deepen reader engagement from the outset. - Elaborate slightly on the `STORY_EXTENSIONS` configuration mentioned in the regex dynamicization, perhaps showing a small code snippet to provide full context on its definition. - Consider a small visual (or a more detailed textual description of one) showing the 'before' (a cluttered `foo_files.py` with ghost links) and 'after' (the cleaned version) to visually reinforce the impact of tidiness. - Briefly touch upon the performance implications of the topological check on extremely large repositories, discussing scalability or potential optimizations if applicable. ### Next Step Prompts - Propose an architectural diagram or flow chart illustrating how the Topological Integrity Check integrates into the broader 'Forever Machine' workflow, detailing data flow, dependencies, and interaction points. - Generate a short Python script that, given a `foo_files.py` (or similar manifest) and a `REPO_ROOT`, visualizes the 'map vs. territory' discrepancies as a simple textual or mermaid.js graph, explicitly emphasizing broken vs. live links to provide a clear overview.