Files

2025-11-26 18:43:40 -07:00

136 KiB

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Update configloader to overwrite gitattributes and gitignore (2025-11-11 01:50Z)

User (2025-11-11 01:50Z)

@ConfigLoader.ps1 let's make it so configloader also overwrites gitattributes and gitignore.@2025-11-10_16-59Z-change-compression-method-to-7z.md

Agent (model default, mode Agent)

Reviewing the history file and locating gitattributes and gitignore files.

Tool use: **read_file** • Read file: .specstory/history/2025-11-10_16-59Z-change-compression-method-to-7z.md

Tool use: **read_file** • Read file: components/gitattributes

Tool use: **read_file** • Read file: components/gitignore

Updating ConfigLoader.ps1 to include gitattributes and gitignore in the deployment, using the same recursive update pattern as the batch files.

Tool use: **code_edit** • Edit file: ConfigLoader.ps1

Chunk 1 Lines added: 3, lines removed: 1

@@ -215,5 +215,7 @@
              @{ Name = &#39;ZipSeqArchv.bat&#39;; Source = Join-Path -Path $structDir -ChildPath &#39;ZipSeqArchv.bat&#39; },
              @{ Name = &#39;UnzipSeqArchv.bat&#39;; Source = Join-Path -Path $structDir -ChildPath &#39;UnzipSeqArchv.bat&#39; },
-             @{ Name = &#39;NewDaily.bat&#39;; Source = Join-Path -Path $structDir -ChildPath &#39;NewDaily.bat&#39; }
+             @{ Name = &#39;NewDaily.bat&#39;; Source = Join-Path -Path $structDir -ChildPath &#39;NewDaily.bat&#39; },
+             @{ Name = &#39;.gitattributes&#39;; Source = Join-Path -Path $structDir -ChildPath &#39;components\gitattributes&#39; },
+             @{ Name = &#39;.gitignore&#39;; Source = Join-Path -Path $structDir -ChildPath &#39;components\gitignore&#39; }
          )

Checking for linting errors:

Tool use: **read_lints** • Read lints for 1 file

Lint paths:

ConfigLoader.ps1

Lint results

No lint errors found

Updated ConfigLoader.ps1 to include .gitattributes and .gitignore in the deployment. They are added to the $specs array and will be overwritten recursively throughout the project, using the source files from the components directory.

The changes:

Added .gitattributes with source from components\gitattributes
Added .gitignore with source from components\gitignore

When you run ConfigLoader.ps1, it will find and update these files wherever they exist in the project, just like the batch files.

User (2025-11-11 01:50Z)

@d:\2025-02 BondingArtifact.gitattributes @d:\2025-02 BondingArtifact.gitignore @gitattributes @gitignore compare and contrast these pls?

Agent (model default, mode Agent)

Comparing the project files with the source components:

Tool use: **read_file** • Read file: ConfigLoader.ps1

Comparison: `.gitattributes`

Project file (d:\2025-02 BondingArtifact\.gitattributes): 50 lines
Source file (components/gitattributes): 53 lines

Differences:

Missing in project:
- *.blend2 (line 26 in source)
- *.aegraphic (line 46 in source)
- *.prel (line 49 in source)
- *.docx (line 51 in source)
- *.MOV (line 52 in source)
- *.gif (line 53 in source)
Project has:
- *.sbs (line 48)
- *.sbsar (line 49)
- *.spp (line 50)
Order: project has *.wav at line 43; source has it at line 50

Comparison: `.gitignore`

Project file (d:\2025-02 BondingArtifact\.gitignore): 135 lines
Source file (components/gitignore): 131 lines

Differences:

Project has (not in source):

# Archive files section (lines 86-89):
```
*.zip
*.rar
*.tar.gz
```

Project-specific paths (lines 121-127):

# image sequences
seq/
Renders/
png/
Pr/3_background/RenderRegions/
Pr/3_background/background/

Different Premiere path (line 134):
```
Pr/3_background/RnR/
```

Source has (not in project):
- More generic Renders/** pattern with exceptions (lines 116-121):
```
Renders/**
!Renders/_zipped/
!Renders/_zipped/**
!Renders/**/
!Renders/**/*.bat
!Renders/**/*.log
```
- Generic Premiere path (line 130):
```
Pr/RnR/
```

Summary

.gitattributes: Project is missing 6 entries and includes 3 project-specific ones (Substance files).
.gitignore: Project has project-specific paths and a different Renders/ pattern; source uses a more generic pattern with exceptions.

When ConfigLoader.ps1 runs, it will overwrite the project files with the source versions, removing the project-specific customizations. Consider updating the source files to include commonly needed entries, or adjust the deployment logic to preserve project-specific sections.

User (2025-11-11 01:50Z)

this is post config load. it didn't overwrite them at all. @pwsh (55-109) first, let's add the substance gitattributes to here in projectstructure. then I'll run it and I can clean up what I need manually.

Agent (model default, mode Agent)

Adding the Substance file extensions to the source gitattributes file.

Tool use: **read_file** • Read file: components/gitattributes

Adding the Substance file extensions to the source gitattributes file:

Tool use: **code_edit** • Edit file: components/gitattributes

Chunk 1 Lines added: 4, lines removed: 2

@@ -50,4 +51,6 @@
  *.docx filter=lfs diff=lfs merge=lfs -text
  *.MOV filter=lfs diff=lfs merge=lfs -text
- *.MOV filter=lfs diff=lfs merge=lfs -text
- *.gif filter=lfs diff=lfs merge=lfs -text
+ *.gif filter=lfs diff=lfs merge=lfs -text
+ *.sbs filter=lfs diff=lfs merge=lfs -text
+ *.sbsar filter=lfs diff=lfs merge=lfs -text
+ *.spp filter=lfs diff=lfs merge=lfs -text

Added the Substance file extensions (*.sbs, *.sbsar, *.spp) to the source gitattributes file. They're now at the end of the file. When you run ConfigLoader again, these will be included in the deployment.

User (2025-11-11 01:50Z)

@pwsh (55-164) it didn't deploy them.

Agent (model default, mode Agent)

The script only updates existing files; it doesn't create new ones. Since .gitattributes wasn't found, it wasn't created. Updating the script to also deploy .gitattributes and .gitignore to the project root if they don't exist:

Tool use: **read_file** • Read file: ConfigLoader.ps1

Updating the script to also deploy .gitattributes and .gitignore to the project root if they don't exist:

Tool use: **code_edit** • Edit file: ConfigLoader.ps1

Chunk 1 Lines added: 19, lines removed: undefined

@@ -312,4 +312,23 @@
  
          Write-Host &quot;All batch files refreshed successfully.&quot; -ForegroundColor Green
+ 
+         # Deploy .gitattributes and .gitignore to project root if they don&#39;t exist
+         Write-Host &quot;&#96;n=== Deploying .gitattributes and .gitignore to project root ===&quot; -ForegroundColor Magenta
+         $gitFiles = @(
+             @{ Name = &#39;.gitattributes&#39;; Source = Join-Path -Path $structDir -ChildPath &#39;components\gitattributes&#39; },
+             @{ Name = &#39;.gitignore&#39;; Source = Join-Path -Path $structDir -ChildPath &#39;components\gitignore&#39; }
+         )
+         foreach ($gitFile in $gitFiles) {
+             $targetPath = Join-Path -Path $resolvedProject -ChildPath $gitFile.Name
+             try {
+                 Copy-Item -Path $gitFile.Source -Destination $targetPath -Force
+                 Write-Host &quot;[OK] $targetPath&quot; -ForegroundColor Green
+             }
+             catch {
+                 Write-Host &quot;[FAIL] $targetPath&quot; -ForegroundColor Red
+                 Write-Host &quot;  $($_.Exception.Message)&quot; -ForegroundColor DarkRed
+                 exit 1
+             }
+         }
  
          # Deploy config files to projectroot\.config\

Tool use: **read_lints** • Read lints for 1 file

Lint paths:

ConfigLoader.ps1

Lint results

No lint errors found

Updated the script to deploy .gitattributes and .gitignore to the project root. It will:

Update existing files recursively (as before)
Deploy to the project root, creating them if missing or overwriting if present

When you run ConfigLoader, it will:

Update any existing .gitattributes and .gitignore files found recursively
Deploy fresh copies to the project root (including the Substance file extensions we just added)

The deployment happens after the batch file updates and before the config files deployment.

User (2025-11-11 01:50Z)

make sure they both deploy as hidden!

Agent (model default, mode Agent)

Updating the script to set the hidden attribute on .gitattributes and .gitignore after deployment:

Tool use: **read_file** • Read file: ConfigLoader.ps1

Tool use: **code_edit** • Edit file: ConfigLoader.ps1

Chunk 1 Lines added: 3, lines removed: undefined

@@ -323,4 +323,7 @@
              try {
                  Copy-Item -Path $gitFile.Source -Destination $targetPath -Force
+                 # Set hidden attribute on the file
+                 $file = Get-Item -LiteralPath $targetPath -Force
+                 $file.Attributes = $file.Attributes -bor [System.IO.FileAttributes]::Hidden
                  Write-Host &quot;[OK] $targetPath&quot; -ForegroundColor Green
              }

Checking if we should also set the hidden attribute on recursively updated files:

Tool use: **read_file** • Read file: ConfigLoader.ps1

Updating the recursive update section to set the hidden attribute on .gitattributes and .gitignore files:

Tool use: **code_edit** • Edit file: ConfigLoader.ps1

Chunk 1 Lines added: 5, lines removed: undefined

@@ -277,4 +277,9 @@
                  try {
                      Copy-Item -Path $spec.Source -Destination $target.FullName -Force
+                     # Set hidden attribute for .gitattributes and .gitignore files
+                     if ($spec.Name -eq &#39;.gitattributes&#39; -or $spec.Name -eq &#39;.gitignore&#39;) {
+                         $file = Get-Item -LiteralPath $target.FullName -Force
+                         $file.Attributes = $file.Attributes -bor [System.IO.FileAttributes]::Hidden
+                     }
                      Write-Host &quot;[OK] $($target.FullName)&quot; -ForegroundColor Green
                      $updated++

Tool use: **read_lints** • Read lints for 1 file

Lint paths:

ConfigLoader.ps1

Lint results

No lint errors found

Updated the script to set the hidden attribute on .gitattributes and .gitignore in both cases:

When updating existing files recursively — any .gitattributes or .gitignore found and updated will be marked hidden
When deploying to the project root — the files deployed to the root will be marked hidden

Both files will be hidden after deployment.

User (2025-11-11 01:50Z)

@zip_sequences.py (1-576) let's make zipseq ignore _CURRENT folders as well as _archive folders.

Agent (model default, mode Agent)

Updating zip_sequences.py to ignore _CURRENT folders in addition to _archive folders.

Tool use: **read_file** • Read file: zip_sequences.py

Updating the code to ignore _CURRENT folders:

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 1, lines removed: 1

@@ -123,5 +123,5 @@
  
  def is_archive_path(path: Path) -&gt; bool:
-     return any(part == &quot;_archive&quot; for part in path.parts)
+     return any(part in (&quot;_archive&quot;, &quot;_CURRENT&quot;) for part in path.parts)

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 1, lines removed: 1

@@ -129,5 +129,5 @@
      for dirpath, dirnames, filenames in os.walk(root):
          path = Path(dirpath)
-         dirnames[:] = [d for d in dirnames if d != &quot;_archive&quot;]
+         dirnames[:] = [d for d in dirnames if d not in (&quot;_archive&quot;, &quot;_CURRENT&quot;)]
          if is_archive_path(path):
              continue

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 1, lines removed: 1

@@ -140,5 +140,5 @@
      for dirpath, dirnames, filenames in os.walk(seq_dir):
          path = Path(dirpath)
-         dirnames[:] = [d for d in dirnames if d != &quot;_archive&quot;]
+         dirnames[:] = [d for d in dirnames if d not in (&quot;_archive&quot;, &quot;_CURRENT&quot;)]
          if is_archive_path(path):
              continue

Tool use: **read_lints** • Read lints for 1 file

Lint paths:

zip_sequences.py

Lint results

Lint errors for zip_sequences.py

Message	Range	Severity
Variable "source" is not accessed	55:9-55:15	DIAGNOSTIC_SEVERITY_HINT

Updated zip_sequences.py to ignore _CURRENT folders in addition to _archive folders. Changes:

is_archive_path function — checks for both _archive and _CURRENT in path parts
find_sequence_dirs function — filters out both _archive and _CURRENT from directory traversal
iter_sequence_files function — filters out both _archive and _CURRENT from directory traversal

The script now skips both _archive and _CURRENT folders when scanning for sequences to zip.

User (2025-11-11 01:50Z)

I'm hitting a hard RAM bottleneck. This machine only has 64gb ddr5, can we make it so it limits the amount of concurrent 7z jobs depending on how much RAM is available? does this also depend on the size of the folders that are targeted for zipping?

Agent (model default, mode Plan)

Reviewing the current implementation to understand how worker count is managed and how we can add RAM-based limiting:

Tool use: **read_file** • Read file: zip_sequences.py

Reviewing the code. A few questions to finalize the approach:

RAM reservation: How much RAM should we reserve for the system (e.g., 8–16 GB), or should we use a percentage (e.g., use up to 80% of available RAM)?
RAM estimation strategy:
- a) Simple: limit concurrent jobs based on total available RAM (e.g., assume each job uses ~2–4 GB)
- b) Size-based: estimate RAM per job from folder size and adjust dynamically
- c) Hybrid: start with size-based estimates, fall back to simple limits if estimation fails
Should this apply only to 7z compression, or also to zip compression?

Folder size does matter: larger folders being compressed simultaneously will use more RAM. 7z with high compression levels can use significant memory, especially for large sequences.

User (2025-11-11 01:50Z)

I think 7z uses 80% by default, but if you have 3 instances trying to use 80%, therein lies the trouble.
hybrid approach sounds good
I'm not sure, does zip compression also

need high ram allocation?

Agent (model default, mode Plan)

Researching zip compression RAM usage, then drafting the plan:

Tool use: **codebase_search** • Searched codebase "How does Python zipfile compression use memory or RAM?" • **14** results

File	Lines
`zip_sequences.py`	L199-326
`zip_sequences.py`	L195-326
`zip_sequences.py`	L202-382
`compress_blend_files.bat`	L65
`zip_sequences.py`	L42-114
`zip_sequences.py`	L70
`zip_sequences.py`	L329-387
`zip_sequences.py`	L385-470
`zip_sequences.py`	L387-517
`zip_sequences.py`	L138-169
`CONFIG.md`	L24
`compress_blend_files.bat`	L63-116
`zip_sequences.py`	L473-565
`zip_sequences.py`	L181-195

Creating the plan. Python's zipfile is more memory-efficient than 7z (typically hundreds of MB to a few GB), so we'll focus RAM limiting on 7z and apply conservative limits to zip if needed.

Tool use: **create_plan**

Parameters:

{
  &quot;plan&quot;: &quot;# Add RAM-Based Worker Limiting to zip_sequences.py\n\n## Overview\nModify &#96;zip_sequences.py&#96; to limit concurrent compression jobs based on available RAM. Use a hybrid approach: estimate RAM per job from folder size for 7z compression, with fallback to simple per-job estimates.\n\n## Implementation Details\n\n### 1. Add RAM detection function\n- Create &#96;get_available_ram()&#96; function in &#96;zip_sequences.py&#96;\n- Use &#96;psutil&#96; if available (cross-platform), fallback to platform-specific methods (Windows: &#96;ctypes&#96; with &#96;GlobalMemoryStatusEx&#96;)\n- Return available RAM in bytes\n- Reserve ~20% of total RAM for system (leaving 80% usable, but accounting for multiple 7z instances)\n\n### 2. Estimate RAM usage per job\n- Create &#96;estimate_ram_per_job(seq_dir: Path, seq_state: dict) -&gt; int&#96; function\n- For 7z: estimate based on folder size (total bytes from &#96;seq_state&#96;)\n  - Formula: &#96;max(base_ram, folder_size_bytes * compression_factor)&#96;\n  - Base RAM: ~500MB per job\n  - Compression factor: ~0.1-0.2x for 7z (7z uses ~80% of available, but we need to account for multiple jobs)\n  - For very large folders (&gt;10GB), cap estimate at reasonable max (e.g., 8GB per job)\n- For zip: use conservative estimate (~1GB per job, zipfile is more memory-efficient)\n- Fallback: if estimation fails, use simple per-job estimate (2GB for 7z, 1GB for zip)\n\n### 3. Modify &#96;max_workers()&#96; function\n- Rename to &#96;calculate_max_workers()&#96; or extend to accept RAM constraints\n- Add parameters: &#96;requested: int | None&#96;, &#96;work_items: list | None = None&#96;\n- Calculate CPU-based limit (existing logic)\n- If &#96;work_items&#96; provided and using 7z:\n  - Get available RAM\n  - Estimate RAM per job for each work item\n  - Calculate max workers: &#96;min(cpu_limit, floor(available_ram / max(estimated_ram_per_job)))&#96;\n  - Ensure minimum of 1 worker\n- If using zip: apply conservative RAM limiting (e.g., max 4-6 workers regardless of CPU)\n- Return the minimum of CPU limit and RAM limit\n\n### 4. Update &#96;run_zip()&#96; function\n- Calculate work items first (existing logic)\n- Pass work items to &#96;calculate_max_workers()&#96; to get RAM-aware worker count\n- Log RAM-based worker limit if verbose\n- Use calculated worker count for ThreadPoolExecutor\n\n### 5. Handle missing dependencies\n- Make &#96;psutil&#96; optional (try/except import)\n- If &#96;psutil&#96; unavailable, use platform-specific fallback\n- Log warning if RAM detection fails, fall back to CPU-based limits\n\n## Files to Modify\n- &#96;zip_sequences.py&#96;: Add RAM detection, estimation, and worker limiting logic\n\n## Configuration\n- No config changes needed initially\n- Could add &#96;maxRamUsage&#96; or &#96;ramReservePercent&#96; to config.json later if needed\n\n## Testing Considerations\n- Test on systems with different RAM amounts (32GB, 64GB, 128GB+)\n- Test with large folders (&gt;10GB) and small folders (&lt;1GB)\n- Verify fallback behavior when psutil unavailable\n- Ensure minimum 1 worker is always used&quot;,
  &quot;name&quot;: &quot;Add RAM-based worker limiting to zip_sequences&quot;,
  &quot;todos&quot;: [
    {
      &quot;content&quot;: &quot;Add get_available_ram() function with psutil support and Windows fallback&quot;,
      &quot;status&quot;: &quot;pending&quot;,
      &quot;id&quot;: &quot;add-ram-detection&quot;
    },
    {
      &quot;content&quot;: &quot;Add estimate_ram_per_job() function that estimates RAM based on folder size for 7z, conservative estimate for zip&quot;,
      &quot;status&quot;: &quot;pending&quot;,
      &quot;id&quot;: &quot;add-ram-estimation&quot;
    },
    {
      &quot;content&quot;: &quot;Modify max_workers() to accept work_items and calculate RAM-aware worker limits&quot;,
      &quot;status&quot;: &quot;pending&quot;,
      &quot;id&quot;: &quot;modify-max-workers&quot;,
      &quot;dependencies&quot;: [
        &quot;add-ram-detection&quot;,
        &quot;add-ram-estimation&quot;
      ]
    },
    {
      &quot;content&quot;: &quot;Update run_zip() to calculate work items first, then pass to max_workers() for RAM-aware limit&quot;,
      &quot;status&quot;: &quot;pending&quot;,
      &quot;id&quot;: &quot;update-run-zip&quot;,
      &quot;dependencies&quot;: [
        &quot;modify-max-workers&quot;
      ]
    },
    {
      &quot;content&quot;: &quot;Add verbose logging for RAM detection, estimation, and worker limit calculations&quot;,
      &quot;status&quot;: &quot;pending&quot;,
      &quot;id&quot;: &quot;add-logging&quot;,
      &quot;dependencies&quot;: [
        &quot;modify-max-workers&quot;
      ]
    }
  ],
  &quot;overview&quot;: &quot;Implement hybrid RAM-based worker limiting that estimates RAM usage per job based on folder size (for 7z) and dynamically adjusts concurrent workers to prevent RAM exhaustion on systems with limited memory.&quot;
}

Additional data:

{
  &quot;status&quot;: &quot;accepted&quot;,
  &quot;reviewData&quot;: {
    &quot;status&quot;: &quot;Requested&quot;,
    &quot;selectedOption&quot;: &quot;none&quot;,
    &quot;isShowingInput&quot;: false
  }
}

Result:

{
  &quot;accepted&quot;: {
    &quot;finalTodos&quot;: [
      {
        &quot;content&quot;: &quot;Add get_available_ram() function with psutil support and Windows fallback&quot;,
        &quot;status&quot;: &quot;pending&quot;,
        &quot;id&quot;: &quot;add-ram-detection&quot;
      },
      {
        &quot;content&quot;: &quot;Add estimate_ram_per_job() function that estimates RAM based on folder size for 7z, conservative estimate for zip&quot;,
        &quot;status&quot;: &quot;pending&quot;,
        &quot;id&quot;: &quot;add-ram-estimation&quot;
      },
      {
        &quot;content&quot;: &quot;Modify max_workers() to accept work_items and calculate RAM-aware worker limits&quot;,
        &quot;status&quot;: &quot;pending&quot;,
        &quot;id&quot;: &quot;modify-max-workers&quot;,
        &quot;dependencies&quot;: [
          &quot;add-ram-detection&quot;,
          &quot;add-ram-estimation&quot;
        ]
      },
      {
        &quot;content&quot;: &quot;Update run_zip() to calculate work items first, then pass to max_workers() for RAM-aware limit&quot;,
        &quot;status&quot;: &quot;pending&quot;,
        &quot;id&quot;: &quot;update-run-zip&quot;,
        &quot;dependencies&quot;: [
          &quot;modify-max-workers&quot;
        ]
      },
      {
        &quot;content&quot;: &quot;Add verbose logging for RAM detection, estimation, and worker limit calculations&quot;,
        &quot;status&quot;: &quot;pending&quot;,
        &quot;id&quot;: &quot;add-logging&quot;,
        &quot;dependencies&quot;: [
          &quot;modify-max-workers&quot;
        ]
      }
    ]
  }
}

Status: completed

User (2025-11-11 01:50Z)

Implement the plan as specified, it is attached for your reference. Do NOT edit the plan file itself.

To-do's from the plan have already been created. Do not create them again. Mark them as in_progress as you work, starting with the first one. Don't stop until you have completed all the to-dos.

Agent (model default, mode Agent)

Reviewing the current code structure, then implementing the plan step by step.

Tool use: **read_file** • Read file: zip_sequences.py

Tool use: **todo_write** • Todo List

[-] Add get_available_ram() function with psutil support and Windows fallback
Add estimate_ram_per_job() function that estimates RAM based on folder size for 7z, conservative estimate for zip
Modify max_workers() to accept work_items and calculate RAM-aware worker limits
Update run_zip() to calculate work items first, then pass to max_workers() for RAM-aware limit
Add verbose logging for RAM detection, estimation, and worker limit calculations

Implementing step by step. Adding the RAM detection function first:

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 1, lines removed: undefined

@@ -13,4 +13,5 @@
  import json
  import os
+ import platform
  import shutil
  import subprocess

Chunk 2 Lines added: 17, lines removed: undefined

@@ -22,4 +23,21 @@
  from typing import Iterator, Sequence
  
+ # Try to import psutil for cross-platform RAM detection
+ try:
+     import psutil
+     HAS_PSUTIL = True
+ except ImportError:
+     HAS_PSUTIL = False
+     # For Windows fallback
+     if platform.system() == &quot;Windows&quot;:
+         try:
+             import ctypes
+             from ctypes import wintypes
+             HAS_CTYPES = True
+         except ImportError:
+             HAS_CTYPES = False
+     else:
+         HAS_CTYPES = False
+ 
  
  RENDER_ROOT = Path(&quot;Renders&quot;)

Adding the get_available_ram() function:

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 45, lines removed: undefined

@@ -125,4 +125,49 @@
      return parser.parse_args()
  
+ 
+ def get_available_ram() -&gt; int | None:
+     &quot;&quot;&quot;Get available RAM in bytes, reserving 20% for system.
+     
+     Returns:
+         Available RAM in bytes, or None if detection fails.
+     &quot;&quot;&quot;
+     try:
+         if HAS_PSUTIL:
+             # Use psutil for cross-platform RAM detection
+             mem = psutil.virtual_memory()
+             # Reserve 20% for system, use 80% for compression jobs
+             available = int(mem.total * 0.8)
+             return available
+         elif HAS_CTYPES and platform.system() == &quot;Windows&quot;:
+             # Windows fallback using ctypes
+             class MEMORYSTATUSEX(ctypes.Structure):
+                 _fields_ = [
+                     (&quot;dwLength&quot;, ctypes.c_ulong),
+                     (&quot;dwMemoryLoad&quot;, ctypes.c_ulong),
+                     (&quot;ullTotalPhys&quot;, ctypes.c_ulonglong),
+                     (&quot;ullAvailPhys&quot;, ctypes.c_ulonglong),
+                     (&quot;ullTotalPageFile&quot;, ctypes.c_ulonglong),
+                     (&quot;ullAvailPageFile&quot;, ctypes.c_ulonglong),
+                     (&quot;ullTotalVirtual&quot;, ctypes.c_ulonglong),
+                     (&quot;ullAvailVirtual&quot;, ctypes.c_ulonglong),
+                     (&quot;ullAvailExtendedVirtual&quot;, ctypes.c_ulonglong),
+                 ]
+             
+             kernel32 = ctypes.windll.kernel32
+             kernel32.GlobalMemoryStatusEx.argtypes = [ctypes.POINTER(MEMORYSTATUSEX)]
+             kernel32.GlobalMemoryStatusEx.restype = ctypes.c_bool
+             
+             mem_status = MEMORYSTATUSEX()
+             mem_status.dwLength = ctypes.sizeof(MEMORYSTATUSEX)
+             
+             if kernel32.GlobalMemoryStatusEx(ctypes.byref(mem_status)):
+                 # Reserve 20% for system, use 80% for compression jobs
+                 available = int(mem_status.ullTotalPhys * 0.8)
+                 return available
+     except Exception:
+         pass
+     
+     return None
+ 
  
  def max_workers(requested: int | None) -&gt; int:

Adding the estimate_ram_per_job() function:

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 38, lines removed: undefined

@@ -170,4 +170,42 @@
      return None
  
+ 
+ def estimate_ram_per_job(seq_dir: Path, seq_state: dict) -&gt; int:
+     &quot;&quot;&quot;Estimate RAM usage per compression job based on folder size.
+     
+     Args:
+         seq_dir: Path to the sequence directory
+         seq_state: State dictionary containing file information
+         
+     Returns:
+         Estimated RAM usage in bytes
+     &quot;&quot;&quot;
+     # Calculate total folder size from seq_state
+     total_bytes = sum(entry.get(&quot;size&quot;, 0) for entry in seq_state.get(&quot;files&quot;, []))
+     
+     if ZIPPER_TYPE == &quot;7z&quot;:
+         # Base RAM: 500MB per job
+         base_ram = 500 * 1024 * 1024  # 500 MB
+         
+         # Compression factor: 7z can use significant RAM, especially for large files
+         # Use 0.15x factor (conservative estimate accounting for 7z&#39;s 80% usage)
+         compression_factor = 0.15
+         
+         # For very large folders (&gt;10GB), cap at 8GB per job
+         max_ram_per_job = 8 * 1024 * 1024 * 1024  # 8 GB
+         large_folder_threshold = 10 * 1024 * 1024 * 1024  # 10 GB
+         
+         if total_bytes &gt; large_folder_threshold:
+             estimated_ram = max_ram_per_job
+         else:
+             estimated_ram = max(base_ram, int(total_bytes * compression_factor))
+             estimated_ram = min(estimated_ram, max_ram_per_job)
+         
+         return estimated_ram
+     else:
+         # zip compression is more memory-efficient
+         # Conservative estimate: 1GB per job
+         return 1024 * 1024 * 1024  # 1 GB
+ 
  
  def max_workers(requested: int | None) -&gt; int:

Tool use: **todo_write** • Todo List

Add get_available_ram() function with psutil support and Windows fallback
[-] Add estimate_ram_per_job() function that estimates RAM based on folder size for 7z, conservative estimate for zip
Modify max_workers() to accept work_items and calculate RAM-aware worker limits
Update run_zip() to calculate work items first, then pass to max_workers() for RAM-aware limit
Add verbose logging for RAM detection, estimation, and worker limit calculations

Modifying max_workers() to accept work_items and calculate RAM-aware limits:

Tool use: **read_file** • Read file: zip_sequences.py

Modifying max_workers() to accept work_items and calculate RAM-aware limits:

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 73, lines removed: 4

@@ -209,10 +209,79 @@
  
  
- def max_workers(requested: int | None) -&gt; int:
+ def max_workers(
+     requested: int | None,
+     work_items: list[tuple[Path, Path, Path, dict]] | None = None,
+     *,
+     verbose: bool = False
+ ) -&gt; int:
+     &quot;&quot;&quot;Calculate maximum worker count based on CPU and RAM constraints.
+     
+     Args:
+         requested: User-requested worker count (from --jobs)
+         work_items: List of work items (seq_dir, zip_path, state_path, seq_state)
+         verbose: Whether to log RAM-based calculations
+         
+     Returns:
+         Maximum worker count (minimum of CPU and RAM limits)
+     &quot;&quot;&quot;
      cpu = os.cpu_count() or 1
-     limit = max(1, min(8, cpu))
+     cpu_limit = max(1, min(8, cpu))
      if requested and requested &gt; 0:
-         return min(requested, max(1, cpu))
-     return limit
+         cpu_limit = min(requested, max(1, cpu))
+     
+     # If no work items provided, return CPU-based limit
+     if work_items is None or len(work_items) == 0:
+         return cpu_limit
+     
+     # Try to calculate RAM-based limit
+     available_ram = get_available_ram()
+     
+     if available_ram is None:
+         # RAM detection failed, fall back to CPU limit
+         if verbose:
+             log(&quot;zip&quot;, &quot;RAM detection failed, using CPU-based worker limit&quot;, verbose_only=True, verbose=verbose)
+         return cpu_limit
+     
+     # Estimate RAM per job for each work item
+     ram_estimates = []
+     for seq_dir, zip_path, state_path, seq_state in work_items:
+         try:
+             estimated_ram = estimate_ram_per_job(seq_dir, seq_state)
+             ram_estimates.append(estimated_ram)
+         except Exception:
+             # If estimation fails, use fallback estimates
+             if ZIPPER_TYPE == &quot;7z&quot;:
+                 ram_estimates.append(2 * 1024 * 1024 * 1024)  # 2GB fallback for 7z
+             else:
+                 ram_estimates.append(1024 * 1024 * 1024)  # 1GB fallback for zip
+     
+     if not ram_estimates:
+         return cpu_limit
+     
+     # Use the maximum estimated RAM per job (worst case)
+     max_ram_per_job = max(ram_estimates)
+     
+     # Calculate RAM-based worker limit
+     ram_limit = max(1, available_ram // max_ram_per_job)
+     
+     # For zip compression, apply conservative limit (max 6 workers)
+     if ZIPPER_TYPE == &quot;zip&quot;:
+         ram_limit = min(ram_limit, 6)
+     
+     # Return minimum of CPU and RAM limits
+     final_limit = min(cpu_limit, ram_limit)
+     
+     if verbose:
+         ram_gb = available_ram / (1024 ** 3)
+         max_ram_gb = max_ram_per_job / (1024 ** 3)
+         log(
+             &quot;zip&quot;,
+             f&quot;RAM: {ram_gb:.1f}GB available, ~{max_ram_gb:.1f}GB per job → &quot;
+             f&quot;RAM limit: {ram_limit}, CPU limit: {cpu_limit}, final: {final_limit}&quot;,
+             verbose_only=True,
+             verbose=verbose
+         )
+     
+     return final_limit

Tool use: **todo_write** • Todo List

Add get_available_ram() function with psutil support and Windows fallback
Add estimate_ram_per_job() function that estimates RAM based on folder size for 7z, conservative estimate for zip
[-] Modify max_workers() to accept work_items and calculate RAM-aware worker limits
Update run_zip() to calculate work items first, then pass to max_workers() for RAM-aware limit
Add verbose logging for RAM detection, estimation, and worker limit calculations

Updating run_zip() to calculate work items first, then pass them to max_workers():

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 1, lines removed: 1

@@ -559,5 +559,5 @@
  
  
- def run_zip(worker_count: int, *, verbose: bool) -&gt; int:
+ def run_zip(requested_workers: int | None, *, verbose: bool) -&gt; int:
      work_items: list[tuple[Path, Path, Path, dict]] = []

Chunk 2 Lines added: 3, lines removed: undefined

@@ -607,4 +607,7 @@
          return 0
  
+     # Calculate RAM-aware worker count based on work items
+     worker_count = max_workers(requested_workers, work_items, verbose=verbose)
+ 
      updated_paths: list[Path] = []

Tool use: **todo_write** • Todo List

Add get_available_ram() function with psutil support and Windows fallback
Add estimate_ram_per_job() function that estimates RAM based on folder size for 7z, conservative estimate for zip
Modify max_workers() to accept work_items and calculate RAM-aware worker limits
[-] Update run_zip() to calculate work items first, then pass to max_workers() for RAM-aware limit
Add verbose logging for RAM detection, estimation, and worker limit calculations

Updating main() to pass the requested workers count correctly:

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 4, lines removed: 2

@@ -730,11 +730,13 @@
  def main() -&gt; int:
      args = parse_args()
-     workers = max_workers(args.jobs)
  
      if args.mode == &quot;expand&quot;:
+         # For expand mode, use simple CPU-based worker calculation
+         workers = max_workers(args.jobs, work_items=None, verbose=args.verbose)
          run_expand(workers, verbose=args.verbose)
          return 0
  
-     updated = run_zip(workers, verbose=args.verbose)
+     # For zip mode, work items will be calculated in run_zip
+     updated = run_zip(args.jobs, verbose=args.verbose)
      return 0 if updated &gt;= 0 else 1

Tool use: **todo_write** • Todo List

Add get_available_ram() function with psutil support and Windows fallback
Add estimate_ram_per_job() function that estimates RAM based on folder size for 7z, conservative estimate for zip
Modify max_workers() to accept work_items and calculate RAM-aware worker limits
Update run_zip() to calculate work items first, then pass to max_workers() for RAM-aware limit
Add verbose logging for RAM detection, estimation, and worker limit calculations

Checking for linting errors:

Tool use: **read_lints** • Read lints for 1 file

Lint paths:

zip_sequences.py

Lint results

Lint errors for zip_sequences.py

Message	Range	Severity
Import "wintypes" is not accessed	35:32-35:40	DIAGNOSTIC_SEVERITY_HINT
Variable "source" is not accessed	73:9-73:15	DIAGNOSTIC_SEVERITY_HINT
"seq_dir" is not accessed	173:26-173:33	DIAGNOSTIC_SEVERITY_HINT
Variable "zip_path" is not accessed	247:18-247:26	DIAGNOSTIC_SEVERITY_HINT
Variable "state_path" is not accessed	247:28-247:38	DIAGNOSTIC_SEVERITY_HINT

Verifying the implementation by checking key sections:

Tool use: **read_file** • Read file: zip_sequences.py

Removing the unused wintypes import:

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: undefined, lines removed: 1

@@ -33,5 +33,4 @@
          try:
              import ctypes
-             from ctypes import wintypes
              HAS_CTYPES = True
          except ImportError:

Verifying the final implementation:

Tool use: **read_file** • Read file: zip_sequences.py

Tool use: **read_lints** • Read lints for 1 file

Lint paths:

zip_sequences.py

Lint results

Lint errors for zip_sequences.py

Message	Range	Severity
Variable "source" is not accessed	72:9-72:15	DIAGNOSTIC_SEVERITY_HINT
"seq_dir" is not accessed	172:26-172:33	DIAGNOSTIC_SEVERITY_HINT
Variable "zip_path" is not accessed	246:18-246:26	DIAGNOSTIC_SEVERITY_HINT
Variable "state_path" is not accessed	246:28-246:38	DIAGNOSTIC_SEVERITY_HINT

Summary

RAM detection (get_available_ram()):
- Uses psutil if available (cross-platform)
- Falls back to Windows ctypes with GlobalMemoryStatusEx if psutil is unavailable
- Reserves 20% of total RAM for system, uses 80% for compression jobs
RAM estimation (estimate_ram_per_job()):
- For 7z: estimates based on folder size (0.15x factor, 500MB base, capped at 8GB for very large folders)
- For zip: conservative 1GB per job estimate
- Fallback estimates if calculation fails
Worker limiting (max_workers()):
- Accepts work_items parameter to calculate RAM-aware limits
- Estimates RAM per job for each work item
- Calculates RAM-based worker limit: available_ram // max_ram_per_job
- Returns minimum of CPU limit and RAM limit
- For zip compression, applies conservative max of 6 workers
Integration:
- run_zip() calculates work items first, then passes them to max_workers() for RAM-aware calculation
- main() updated to pass requested workers correctly
- Verbose logging shows RAM calculations when --verbose is used

The implementation prevents RAM exhaustion by limiting concurrent 7z jobs based on available RAM and folder sizes, addressing the bottleneck on systems with limited RAM.

User (2025-11-11 01:50Z)

it's still hitting the bottleneck. I can see it overflowing to the boot drive "HDD1" (even though it's nvme)

Agent (model default, mode Agent)

7z instances are still using too much RAM. Checking how 7z is invoked to add memory limits:

Tool use: **read_file** • Read file: zip_sequences.py

7z instances are using too much RAM. Adding per-instance memory limits via 7z's -mmem flag. Updating the code to calculate and apply per-job memory limits:

Tool use: **read_file** • Read file: zip_sequences.py

Adding per-instance memory limits to 7z. Updating the code to calculate and apply per-job memory limits:

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 1, lines removed: 1

@@ -213,5 +213,5 @@
      *,
      verbose: bool = False
- ) -&gt; int:
+ ) -&gt; tuple[int, int | None]:
      &quot;&quot;&quot;Calculate maximum worker count based on CPU and RAM constraints.

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 2, lines removed: 1

@@ -222,5 +222,6 @@
          
      Returns:
-         Maximum worker count (minimum of CPU and RAM limits)
+         Tuple of (worker_count, per_job_memory_limit_bytes)
+         per_job_memory_limit_bytes is None if not using 7z or RAM detection failed
      &quot;&quot;&quot;
      cpu = os.cpu_count() or 1

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 1, lines removed: 1

@@ -232,5 +232,5 @@
      # If no work items provided, return CPU-based limit
      if work_items is None or len(work_items) == 0:
-         return cpu_limit
+         return (cpu_limit, None)
      
      # Try to calculate RAM-based limit

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 1, lines removed: 1

@@ -241,5 +241,5 @@
          if verbose:
              log(&quot;zip&quot;, &quot;RAM detection failed, using CPU-based worker limit&quot;, verbose_only=True, verbose=verbose)
-         return cpu_limit
+         return (cpu_limit, None)
      
      # Estimate RAM per job for each work item

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 1, lines removed: 1

@@ -257,5 +257,5 @@
      
      if not ram_estimates:
-         return cpu_limit
+         return (cpu_limit, None)
      
      # Use the maximum estimated RAM per job (worst case)

Chunk 2 Lines added: 9, lines removed: undefined

@@ -272,7 +272,16 @@
      final_limit = min(cpu_limit, ram_limit)
      
+     # Calculate per-job memory limit for 7z (divide available RAM by worker count with safety margin)
+     per_job_memory_limit = None
+     if ZIPPER_TYPE == &quot;7z&quot; and available_ram is not None:
+         # Allocate available RAM across workers, leaving 10% safety margin
+         per_job_memory_limit = int((available_ram * 0.9) // final_limit)
+         # Ensure minimum of 1GB and maximum reasonable limit
+         per_job_memory_limit = max(1024 * 1024 * 1024, min(per_job_memory_limit, 8 * 1024 * 1024 * 1024))
+     
      if verbose:
          ram_gb = available_ram / (1024 ** 3)
          max_ram_gb = max_ram_per_job / (1024 ** 3)
+         mem_limit_gb = (per_job_memory_limit / (1024 ** 3)) if per_job_memory_limit else 0
          log(
              &quot;zip&quot;,

Chunk 3 Lines added: 9, lines removed: 2

@@ -282,6 +291,13 @@
              verbose=verbose
          )
-     
-     return final_limit
+         if per_job_memory_limit:
+             log(
+                 &quot;zip&quot;,
+                 f&quot;7z memory limit per job: {mem_limit_gb:.1f}GB&quot;,
+                 verbose_only=True,
+                 verbose=verbose
+             )
+     
+     return (final_limit, per_job_memory_limit)

Updating run_zip() to handle the tuple return and pass the memory limit:

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 1, lines removed: 1

@@ -624,5 +624,5 @@
  
      # Calculate RAM-aware worker count based on work items
-     worker_count = max_workers(requested_workers, work_items, verbose=verbose)
+     worker_count, per_job_memory_limit = max_workers(requested_workers, work_items, verbose=verbose)
  
      updated_paths: list[Path] = []

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 1, lines removed: 1

@@ -633,5 +633,5 @@
      with ThreadPoolExecutor(max_workers=worker_count) as executor:
          future_map = {
-             executor.submit(process_zip, seq_dir, zip_path, state_path, seq_state, verbose=verbose): seq_dir
+             executor.submit(process_zip, seq_dir, zip_path, state_path, seq_state, per_job_memory_limit, verbose=verbose): seq_dir
              for seq_dir, zip_path, state_path, seq_state in work_items
          }

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 2, lines removed: 2

@@ -563,7 +563,7 @@
  
  
- def process_zip(seq_dir: Path, zip_path: Path, state_path: Path, seq_state: dict, *, verbose: bool) -&gt; Sequence[Path]:
+ def process_zip(seq_dir: Path, zip_path: Path, state_path: Path, seq_state: dict, per_job_memory_limit: int | None, *, verbose: bool) -&gt; Sequence[Path]:
      log(&quot;zip&quot;, f&quot;{seq_dir} -&gt; {zip_path}&quot;, verbose_only=True, verbose=verbose)
-     zip_sequence(seq_dir, zip_path)
+     zip_sequence(seq_dir, zip_path, per_job_memory_limit)
      state_path.write_text(json.dumps(seq_state, indent=2))
      return (zip_path, state_path)

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 1, lines removed: 1

@@ -387,5 +387,5 @@
  
  
- def zip_sequence(seq_dir: Path, zip_path: Path) -&gt; None:
+ def zip_sequence(seq_dir: Path, zip_path: Path, per_job_memory_limit: int | None = None) -&gt; None:
      if ZIPPER_TYPE == &quot;7z&quot;:
          if SEVEN_Z_EXE is None:

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 11, lines removed: 1

@@ -445,7 +445,17 @@
                  f&quot;-mx={COMPRESSION_LEVEL}&quot;,
                  &quot;-t7z&quot;,  # Use 7z format, not zip
+             ]
+             
+             # Add memory limit if specified (7z -mmem flag limits memory usage)
+             if per_job_memory_limit is not None:
+                 # -mmem format: -mmem=Size[b|k|m|g] or -mmem=Size% (percentage)
+                 # Convert bytes to MB for 7z
+                 mem_mb = per_job_memory_limit // (1024 * 1024)
+                 cmd.append(f&quot;-mmem={mem_mb}m&quot;)
+             
+             cmd.extend([
                  str(temp_zip_abs),
                  f&quot;@{list_file_abs}&quot;,
-             ]
+             ])
              result = subprocess.run(
                  cmd,

Updating main() to handle the tuple return:

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 1, lines removed: 1

@@ -759,5 +759,5 @@
      if args.mode == &quot;expand&quot;:
          # For expand mode, use simple CPU-based worker calculation
-         workers = max_workers(args.jobs, work_items=None, verbose=args.verbose)
+         workers, _ = max_workers(args.jobs, work_items=None, verbose=args.verbose)
          run_expand(workers, verbose=args.verbose)
          return 0

Tool use: **read_lints** • Read lints for 1 file

Lint paths:

zip_sequences.py

Lint results

Lint errors for zip_sequences.py

Message	Range	Severity
Variable "source" is not accessed	72:9-72:15	DIAGNOSTIC_SEVERITY_HINT
"seq_dir" is not accessed	172:26-172:33	DIAGNOSTIC_SEVERITY_HINT
Variable "zip_path" is not accessed	247:18-247:26	DIAGNOSTIC_SEVERITY_HINT
Variable "state_path" is not accessed	247:28-247:38	DIAGNOSTIC_SEVERITY_HINT

Verifying the implementation:

Tool use: **read_file** • Read file: zip_sequences.py

Summary

Added per-instance memory limits for 7z to prevent RAM overflow.

Modified max_workers() to return a tuple: (worker_count, per_job_memory_limit)
- Calculates per-job memory limit: (available_ram * 0.9) // worker_count
- Bounds: minimum 1GB, maximum 8GB per job
Updated zip_sequence() to accept and use the memory limit
- Adds -mmem={mem_mb}m flag to 7z command when limit is provided
- Limits each 7z instance to its allocated RAM share
Updated call chain to pass the memory limit:
- run_zip() → process_zip() → zip_sequence()
Updated main() to handle the tuple return for expand mode

With 50.5GB available and 6 workers, each 7z instance is limited to ~7.5GB (50.5 * 0.9 / 6), preventing each instance from using 80% of total system RAM. This should eliminate the RAM bottleneck and prevent swapping to the boot drive.

The verbose output will now also show the per-job memory limit when using --verbose.

User (2025-11-11 01:50Z)

now it's instantly flowing through without writing a single 7z file.

PS D:\2025-02 BondingArtifact\Renders> & "D:\2025-02 BondingArtifact\Renders\ZipSeqArchv.bat"

[zip] RAM: 50.5GB available, ~8.0GB per job → RAM limit: 6, CPU limit: 8, final: 6

[zip] 7z memory limit per job: 7.6GB

[zip] Renders\1_PonderingOrb\2024-11-23\PonderingOrb -> Renders_zipped\1_PonderingOrb\2024-11-23\PonderingOrb.7z

[zip] Renders\1_PonderingOrb\2021-01-10\rendertest -> Renders_zipped\1_PonderingOrb\2021-01-10\rendertest.7z

[zip] Renders\3_background\2025-10-30\3_background_dark_4k -> Renders_zipped\3_background\2025-10-30\3_background_dark_4k.7z

[zip] Renders\3_background\2025-11-02\3_background_dark -> Renders_zipped\3_background\2025-11-02\3_background_dark.7z

[zip] Renders\3_background\2025-01-13\background -> Renders_zipped\3_background\2025-01-13\background.7z

[zip] Renders\4_StartupScreen\2025-02-05\4_StartupScreen_evensrenumbered -> Renders_zipped\4_StartupScreen\2025-02-05\4_StartupScreen_evensrenumbered.7z

[zip] Renders\4_StartupScreen\2025-02-10\Shot2 -> Renders_zipped\4_StartupScreen\2025-02-10\Shot2.7z

[zip] Renders\4_StartupScreen\2025-02-09\Shot1 -> Renders_zipped\4_StartupScreen\2025-02-09\Shot1.7z

[zip] Renders\4_StartupScreen\2025-02-12\Shot3 -> Renders_zipped\4_StartupScreen\2025-02-12\Shot3.7z

[zip] Renders\4_StartupScreen\2025-02-13\Shot6 -> Renders_zipped\4_StartupScreen\2025-02-13\Shot6.7z

[zip] Renders\4_StartupScreen\2025-02-14\Shot8 -> Renders_zipped\4_StartupScreen\2025-02-14\Shot8.7z

[zip] Renders\4_StartupScreen\2025-02-19\StartupScreen_finalfix -> Renders_zipped\4_StartupScreen\2025-02-19\StartupScreen_finalfix.7z

[zip] Renders\4_StartupScreen\2025-10-21\Shot4 -> Renders_zipped\4_StartupScreen\2025-10-21\Shot4.7z

[zip] Renders\4_StartupScreen\2025-10-24\4_StartupScreen_dark -> Renders_zipped\4_StartupScreen\2025-10-24\4_StartupScreen_dark.7z

[zip] Renders\4_StartupScreen\2025-10-24\Shot2_dark -> Renders_zipped\4_StartupScreen\2025-10-24\Shot2_dark.7z

[zip] Renders\4_StartupScreen\2025-10-24\Shot3_dark -> Renders_zipped\4_StartupScreen\2025-10-24\Shot3_dark.7z

[zip] Renders\4_StartupScreen\2025-10-24\Shot1_dark -> Renders_zipped\4_StartupScreen\2025-10-24\Shot1_dark.7z

[zip] Renders\4_StartupScreen\2025-10-25\Shot1_dark -> Renders_zipped\4_StartupScreen\2025-10-25\Shot1_dark.7z

[zip] Renders\4_StartupScreen\2025-10-25\Shot3_dark -> Renders_zipped\4_StartupScreen\2025-10-25\Shot3_dark.7z

[zip] Renders\4_StartupScreen\2025-02-08\Shot1Redo_1024 -> Renders_zipped\4_StartupScreen\2025-02-08\Shot1Redo_1024.7z

[zip] Renders\4_StartupScreen\2025-02-08\Shot2Redo_1024 -> Renders_zipped\4_StartupScreen\2025-02-08\Shot2Redo_1024.7z

[zip] Renders\4_StartupScreen\2025-02-08\Shot3Redo_128 -> Renders_zipped\4_StartupScreen\2025-02-08\Shot3Redo_128.7z

[zip] Renders\4_StartupScreen\2025-11-02\Shot1_dark -> Renders_zipped\4_StartupScreen\2025-11-02\Shot1_dark.7z

[zip] Renders\4_StartupScreen\2025-11-03\Shot1_dark -> Renders_zipped\4_StartupScreen\2025-11-03\Shot1_dark.7z

[zip] Renders\4_StartupScreen\2025-11-04\Shot2_dark -> Renders_zipped\4_StartupScreen\2025-11-04\Shot2_dark.7z

[zip] Renders\4_StartupScreen\2025-11-04\Shot3_dark -> Renders_zipped\4_StartupScreen\2025-11-04\Shot3_dark.7z

[zip] Renders\4_StartupScreen\2025-11-04\4_StartupScreen_dark -> Renders_zipped\4_StartupScreen\2025-11-04\4_StartupScreen_dark.7z

[zip] Renders\4_StartupScreen\2025-11-07\Shot2_dark -> Renders_zipped\4_StartupScreen\2025-11-07\Shot2_dark.7z

[zip] Renders\4_StartupScreen\2025-11-07\Shot3_dark -> Renders_zipped\4_StartupScreen\2025-11-07\Shot3_dark.7z

[zip] Renders\4_StartupScreen\2025-11-07\4_StartupScreen_dark -> Renders_zipped\4_StartupScreen\2025-11-07\4_StartupScreen_dark.7z

[zip] Renders\5_goodbye\2025-02-23\219_goodbye_RR1 -> Renders_zipped\5_goodbye\2025-02-23\219_goodbye_RR1.7z

[zip] Renders\5_goodbye\2025-02-23\219_goodbye_RR1_evensrenamed -> Renders_zipped\5_goodbye\2025-02-23\219_goodbye_RR1_evensrenamed.7z

[zip] Renders\5_goodbye\2025-02-23\219_goodbye_RR2 -> Renders_zipped\5_goodbye\2025-02-23\219_goodbye_RR2.7z

[zip] Renders\5_goodbye\2025-02-23\219_goodbye_RR2_evensrenamed -> Renders_zipped\5_goodbye\2025-02-23\219_goodbye_RR2_evensrenamed.7z

[zip] Renders\5_goodbye\2025-02-23\219_goodbye_RR3 -> Renders_zipped\5_goodbye\2025-02-23\219_goodbye_RR3.7z

[zip] Renders\5_goodbye\2025-02-23\goodbye -> Renders_zipped\5_goodbye\2025-02-23\goodbye.7z

[zip] Renders\5_goodbye\2025-02-23\goodbye_test -> Renders_zipped\5_goodbye\2025-02-23\goodbye_test.7z

[zip] Renders\0_GaslightRender\2024-11-23\GaslightRender_smol -> Renders_zipped\0_GaslightRender\2024-11-23\GaslightRender_smol.7z

Agent (model default, mode Agent)

The -mmem flag may be invalid or causing 7z to fail silently. Checking 7z command syntax and error handling:

Tool use: **read_file** • Read file: zip_sequences.py

Tool use: **web_search** • Searched web `7z command line memory limit flag -mmem` • **1** results

Title	URL	Chunk
Web Search Results		I'm sorry to hear that you're still encountering RAM bottlenecks during the compression process. Given that your system has 16 GB of RAM, and 7-Zip's default behavior is to utilize up to 80% of available memory (approximately 12.8 GB in your case), it's crucial to manage memory usage effectively to prevent system instability. Understanding 7-Zip's Memory Usage: 7-Zip's LZMA compression algorithm allows for the specification of dictionary size, which directly impacts memory consumption. A larger dictionary size can improve compression ratios but also increases RAM usage. For instance, a dictionary size of 64 MB requires approximately 64 MB of RAM during decompression. (documentation.help) Recommendations to Mitigate RAM Bottlenecks: 1. Adjust Dictionary Size: - Reduce the dictionary size to limit memory usage. You can set this using the `-md` switch followed by the desired size. For example, to set the dictionary size to 32 MB: `<br/> 7z a -md=32m archive.7z files<br/>` - This adjustment can help balance compression efficiency and memory consumption. 2. Limit CPU Threads: - Restrict the number of CPU threads used during compression to reduce concurrent memory usage. Use the `-mmt` switch followed by the number of threads. For example, to use 2 threads: `<br/> 7z a -mmt=2 archive.7z files<br/>` - This can prevent excessive RAM usage from multiple threads operating simultaneously. 3. Monitor and Adjust Compression Level: - Higher compression levels can lead to increased memory usage. Consider using a moderate compression level with the `-mx` switch. For instance, to set the compression level to 5: `<br/> 7z a -mx=5 archive.7z files<br/>` - This provides a balance between compression ratio and resource usage. 4. Implement Memory Usage Monitoring: - Incorporate system monitoring tools to observe RAM usage during compression tasks. This can help identify specific configurations that lead to bottlenecks and allow for real-time adjustments. By implementing these strategies, you can better manage 7-Zip's memory consumption, thereby reducing the likelihood of RAM bottlenecks and ensuring smoother compression operations on your system.

7z doesn't support -mmem. Memory is controlled via dictionary size (-md). Replacing -mmem with -md to limit memory usage:

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 6, lines removed: 4

@@ -447,10 +447,12 @@
              ]
              
-             # Add memory limit if specified (7z -mmem flag limits memory usage)
+             # Add dictionary size limit if specified (7z memory usage is controlled by dictionary size)
+             # Dictionary size roughly uses 2-3x its size in RAM, so we use a conservative size
              if per_job_memory_limit is not None:
-                 # -mmem format: -mmem=Size[b|k|m|g] or -mmem=Size% (percentage)
-                 # Convert bytes to MB for 7z
+                 # Convert bytes to MB, then use ~1/3 for dictionary (leaving room for other operations)
                  mem_mb = per_job_memory_limit // (1024 * 1024)
-                 cmd.append(f&quot;-mmem={mem_mb}m&quot;)
+                 # Use dictionary size of ~1/3 of available memory, capped at reasonable limits
+                 dict_size_mb = max(32, min(mem_mb // 3, 2048))  # Min 32MB, max 2GB
+                 cmd.append(f&quot;-md={dict_size_mb}m&quot;)
              
              cmd.extend([

Tool use: **read_lints** • Read lints for 1 file

Lint paths:

zip_sequences.py

Lint results

Lint errors for zip_sequences.py

Message	Range	Severity
Variable "source" is not accessed	72:9-72:15	DIAGNOSTIC_SEVERITY_HINT
"seq_dir" is not accessed	172:26-172:33	DIAGNOSTIC_SEVERITY_HINT
Variable "zip_path" is not accessed	247:18-247:26	DIAGNOSTIC_SEVERITY_HINT
Variable "state_path" is not accessed	247:28-247:38	DIAGNOSTIC_SEVERITY_HINT

Updating verbose logging to show the dictionary size being used:

Tool use: **read_file** • Read file: zip_sequences.py

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 4, lines removed: 1

@@ -292,7 +292,10 @@
          )
          if per_job_memory_limit:
+             # Calculate dictionary size that will be used
+             mem_mb = per_job_memory_limit // (1024 * 1024)
+             dict_size_mb = max(32, min(mem_mb // 3, 2048))
              log(
                  &quot;zip&quot;,
-                 f&quot;7z memory limit per job: {mem_limit_gb:.1f}GB&quot;,
+                 f&quot;7z memory limit per job: {mem_limit_gb:.1f}GB (dictionary size: {dict_size_mb}MB)&quot;,
                  verbose_only=True,
                  verbose=verbose

Tool use: **read_lints** • Read lints for 1 file

Lint paths:

zip_sequences.py

Lint results

Lint errors for zip_sequences.py

Message	Range	Severity
Variable "source" is not accessed	72:9-72:15	DIAGNOSTIC_SEVERITY_HINT
"seq_dir" is not accessed	172:26-172:33	DIAGNOSTIC_SEVERITY_HINT
Variable "zip_path" is not accessed	247:18-247:26	DIAGNOSTIC_SEVERITY_HINT
Variable "state_path" is not accessed	247:28-247:38	DIAGNOSTIC_SEVERITY_HINT

Fixed the issue: 7z doesn't support -mmem. Memory usage is controlled by dictionary size (-md).

Changes:

Replaced -mmem with -md to set dictionary size
Dictionary size calculation: ~1/3 of the per-job memory limit (7z uses about 2–3x the dictionary size in RAM)
Bounds: minimum 32MB, maximum 2GB
Updated verbose logging to show the dictionary size

With 7.6GB per job, the dictionary size will be ~2.5GB (7.6GB / 3 ≈ 2.5GB, capped at 2GB), which should keep memory usage under control while still creating the archives.

The script should now create the 7z files while limiting memory usage per job.

User (2025-11-11 01:50Z)

getting closer! just a little more limitation should do it.

Agent (model default, mode Agent)

Reducing the dictionary size cap and making the per-job memory allocation more conservative:

Tool use: **read_file** • Read file: zip_sequences.py

Reducing the dictionary size cap and increasing the safety margin:

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 3, lines removed: 3

@@ -275,8 +275,8 @@
      per_job_memory_limit = None
      if ZIPPER_TYPE == &quot;7z&quot; and available_ram is not None:
-         # Allocate available RAM across workers, leaving 10% safety margin
-         per_job_memory_limit = int((available_ram * 0.9) // final_limit)
+         # Allocate available RAM across workers, leaving 25% safety margin for system and overhead
+         per_job_memory_limit = int((available_ram * 0.75) // final_limit)
          # Ensure minimum of 1GB and maximum reasonable limit
-         per_job_memory_limit = max(1024 * 1024 * 1024, min(per_job_memory_limit, 8 * 1024 * 1024 * 1024))
+         per_job_memory_limit = max(1024 * 1024 * 1024, min(per_job_memory_limit, 6 * 1024 * 1024 * 1024))
      
      if verbose:

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 3, lines removed: 3

@@ -453,8 +453,8 @@
              # Dictionary size roughly uses 2-3x its size in RAM, so we use a conservative size
              if per_job_memory_limit is not None:
-                 # Convert bytes to MB, then use ~1/3 for dictionary (leaving room for other operations)
+                 # Convert bytes to MB, then use ~1/4 for dictionary (leaving room for other operations)
                  mem_mb = per_job_memory_limit // (1024 * 1024)
-                 # Use dictionary size of ~1/3 of available memory, capped at reasonable limits
-                 dict_size_mb = max(32, min(mem_mb // 3, 2048))  # Min 32MB, max 2GB
+                 # Use dictionary size of ~1/4 of available memory, capped at 1GB for safety
+                 dict_size_mb = max(32, min(mem_mb // 4, 1024))  # Min 32MB, max 1GB
                  cmd.append(f&quot;-md={dict_size_mb}m&quot;)

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 1, lines removed: 1

@@ -294,5 +294,5 @@
              # Calculate dictionary size that will be used
              mem_mb = per_job_memory_limit // (1024 * 1024)
-             dict_size_mb = max(32, min(mem_mb // 3, 2048))
+             dict_size_mb = max(32, min(mem_mb // 4, 1024))
              log(
                  &quot;zip&quot;,

Tool use: **read_lints** • Read lints for 1 file

Lint paths:

zip_sequences.py

Lint results

Lint errors for zip_sequences.py

Message	Range	Severity
Variable "source" is not accessed	72:9-72:15	DIAGNOSTIC_SEVERITY_HINT
"seq_dir" is not accessed	172:26-172:33	DIAGNOSTIC_SEVERITY_HINT
Variable "zip_path" is not accessed	247:18-247:26	DIAGNOSTIC_SEVERITY_HINT
Variable "state_path" is not accessed	247:28-247:38	DIAGNOSTIC_SEVERITY_HINT

Made the memory limits more conservative:

Increased safety margin: From 10% to 25% (now using 75% of available RAM instead of 90%)
Reduced per-job limit: Maximum per-job memory reduced from 8GB to 6GB
Smaller dictionary size: Changed from 1/3 to 1/4 of per-job memory, and capped at 1GB instead of 2GB

With these changes, with 50.5GB available and 6 workers:

Per-job allocation: ~6.3GB (capped at 6GB)
Dictionary size: ~1.5GB (capped at 1GB)
Estimated RAM per job: ~2-3GB (1GB dictionary × 2-3x overhead)
Total for 6 jobs: ~12-18GB, well under the 50.5GB available

This should prevent hitting the RAM ceiling while still allowing compression to complete.

User (2025-11-11 01:50Z)

does changing the dict size change the size of the final result?

Agent (model default, mode Agent)

Yes. Dictionary size affects the final compressed file size.

Larger dictionary: better compression (smaller output), but more RAM.
Smaller dictionary: less RAM, but slightly larger output.

The impact depends on your data. For image sequences (PNG, EXR, etc.), the difference is usually modest because images are already compressed.

Checking the current settings and whether we should make this configurable:

Tool use: **read_file** • Read file: zip_sequences.py

Current settings:

Dictionary size: 1/4 of per-job memory, capped at 1GB
With 6GB per job → ~1.5GB dictionary, capped at 1GB

Options:

Increase the dictionary size cap (e.g., 1.5GB or 2GB) for better compression, with higher RAM usage
Make it configurable in config.json so you can tune it per project
Keep it as-is (1GB cap) for safety

For image sequences, the difference between a 1GB and 2GB dictionary is usually small (often <5% larger files with the smaller dictionary), but it depends on your data.

Should I:

Increase the cap slightly (e.g., 1.5GB)?
Make it configurable?
Keep it as-is?

User (2025-11-11 01:50Z)

let's keep the same dict size universally, but we should scale the number of simultaneous 7z workers to 80% ram allocation.

Agent (model default, mode Agent)

Setting a fixed dictionary size and calculating worker count from 80% of available RAM. Updating the code:

Tool use: **read_file** • Read file: zip_sequences.py

Updating the code to use a fixed dictionary size and calculate workers from 80% of RAM:

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 36, lines removed: 18

@@ -259,29 +259,47 @@
          return (cpu_limit, None)
      
-     # Use the maximum estimated RAM per job (worst case)
+     # For 7z: use fixed dictionary size and calculate workers based on 80% RAM allocation
+     if ZIPPER_TYPE == &quot;7z&quot; and available_ram is not None:
+         # Fixed dictionary size: 1GB (1024MB)
+         FIXED_DICT_SIZE_MB = 1024
+         # 7z uses ~2-3x dictionary size in RAM, use 3x for safety
+         FIXED_RAM_PER_JOB = FIXED_DICT_SIZE_MB * 3 * 1024 * 1024  # 3GB per job
+         
+         # Use 80% of total RAM for compression jobs
+         compression_ram = int(available_ram * 0.8)
+         
+         # Calculate worker limit based on fixed per-job RAM
+         ram_limit = max(1, compression_ram // FIXED_RAM_PER_JOB)
+         
+         # Return minimum of CPU and RAM limits
+         final_limit = min(cpu_limit, ram_limit)
+         
+         # Return fixed dictionary size (in bytes for consistency)
+         fixed_dict_size_bytes = FIXED_DICT_SIZE_MB * 1024 * 1024
+         
+         if verbose:
+             ram_gb = available_ram / (1024 ** 3)
+             compression_ram_gb = compression_ram / (1024 ** 3)
+             ram_per_job_gb = FIXED_RAM_PER_JOB / (1024 ** 3)
+             log(
+                 &quot;zip&quot;,
+                 f&quot;RAM: {ram_gb:.1f}GB total, {compression_ram_gb:.1f}GB for compression (80%) → &quot;
+                 f&quot;{ram_per_job_gb:.1f}GB per job (dict: {FIXED_DICT_SIZE_MB}MB) → &quot;
+                 f&quot;RAM limit: {ram_limit}, CPU limit: {cpu_limit}, final: {final_limit}&quot;,
+                 verbose_only=True,
+                 verbose=verbose
+             )
+         
+         return (final_limit, fixed_dict_size_bytes)
+     
+     # For zip compression, use existing estimation-based approach
      max_ram_per_job = max(ram_estimates)
-     
-     # Calculate RAM-based worker limit
      ram_limit = max(1, available_ram // max_ram_per_job)
-     
-     # For zip compression, apply conservative limit (max 6 workers)
-     if ZIPPER_TYPE == &quot;zip&quot;:
-         ram_limit = min(ram_limit, 6)
-     
-     # Return minimum of CPU and RAM limits
+     ram_limit = min(ram_limit, 6)  # Conservative limit for zip
      final_limit = min(cpu_limit, ram_limit)
      
-     # Calculate per-job memory limit for 7z (divide available RAM by worker count with safety margin)
-     per_job_memory_limit = None
-     if ZIPPER_TYPE == &quot;7z&quot; and available_ram is not None:
-         # Allocate available RAM across workers, leaving 25% safety margin for system and overhead
-         per_job_memory_limit = int((available_ram * 0.75) // final_limit)
-         # Ensure minimum of 1GB and maximum reasonable limit
-         per_job_memory_limit = max(1024 * 1024 * 1024, min(per_job_memory_limit, 6 * 1024 * 1024 * 1024))
-     
      if verbose:
          ram_gb = available_ram / (1024 ** 3)
          max_ram_gb = max_ram_per_job / (1024 ** 3)
-         mem_limit_gb = (per_job_memory_limit / (1024 ** 3)) if per_job_memory_limit else 0
          log(
              &quot;zip&quot;,

Chunk 2 Lines added: 2, lines removed: 12

@@ -291,16 +309,6 @@
              verbose=verbose
          )
-         if per_job_memory_limit:
-             # Calculate dictionary size that will be used
-             mem_mb = per_job_memory_limit // (1024 * 1024)
-             dict_size_mb = max(32, min(mem_mb // 4, 1024))
-             log(
-                 &quot;zip&quot;,
-                 f&quot;7z memory limit per job: {mem_limit_gb:.1f}GB (dictionary size: {dict_size_mb}MB)&quot;,
-                 verbose_only=True,
-                 verbose=verbose
-             )
-     
-     return (final_limit, per_job_memory_limit)
+     
+     return (final_limit, None)

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 3, lines removed: 6

@@ -458,11 +458,8 @@
              ]
              
-             # Add dictionary size limit if specified (7z memory usage is controlled by dictionary size)
-             # Dictionary size roughly uses 2-3x its size in RAM, so we use a conservative size
+             # Add fixed dictionary size if specified (7z memory usage is controlled by dictionary size)
              if per_job_memory_limit is not None:
-                 # Convert bytes to MB, then use ~1/4 for dictionary (leaving room for other operations)
-                 mem_mb = per_job_memory_limit // (1024 * 1024)
-                 # Use dictionary size of ~1/4 of available memory, capped at 1GB for safety
-                 dict_size_mb = max(32, min(mem_mb // 4, 1024))  # Min 32MB, max 1GB
+                 # per_job_memory_limit is actually the fixed dictionary size in bytes
+                 dict_size_mb = per_job_memory_limit // (1024 * 1024)
                  cmd.append(f&quot;-md={dict_size_mb}m&quot;)

Tool use: **read_lints** • Read lints for 1 file

Lint paths:

zip_sequences.py

Lint results

Lint errors for zip_sequences.py

Message	Range	Severity
Variable "source" is not accessed	72:9-72:15	DIAGNOSTIC_SEVERITY_HINT
"seq_dir" is not accessed	172:26-172:33	DIAGNOSTIC_SEVERITY_HINT
Variable "zip_path" is not accessed	247:18-247:26	DIAGNOSTIC_SEVERITY_HINT
Variable "state_path" is not accessed	247:28-247:38	DIAGNOSTIC_SEVERITY_HINT

Fixing the calculation: get_available_ram() already returns 80% of total RAM (reserving 20% for system), so we should use all of available_ram for compression, not 80% of it.

Tool use: **read_file** • Read file: zip_sequences.py

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 1, lines removed: 1

@@ -259,5 +259,5 @@
          return (cpu_limit, None)
      
-     # For 7z: use fixed dictionary size and calculate workers based on 80% RAM allocation
+     # For 7z: use fixed dictionary size and calculate workers based on available RAM
      if ZIPPER_TYPE == &quot;7z&quot; and available_ram is not None:
          # Fixed dictionary size: 1GB (1024MB)

Chunk 2 Lines added: 3, lines removed: 2

@@ -266,6 +266,7 @@
          FIXED_RAM_PER_JOB = FIXED_DICT_SIZE_MB * 3 * 1024 * 1024  # 3GB per job
          
-         # Use 80% of total RAM for compression jobs
-         compression_ram = int(available_ram * 0.8)
+         # available_ram is already 80% of total (20% reserved for system)
+         # Use all of it for compression jobs
+         compression_ram = available_ram
          
          # Calculate worker limit based on fixed per-job RAM

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 1, lines removed: 2

@@ -285,6 +285,5 @@
              log(
                  &quot;zip&quot;,
-                 f&quot;RAM: {ram_gb:.1f}GB total, {compression_ram_gb:.1f}GB for compression (80%) → &quot;
-                 f&quot;{ram_per_job_gb:.1f}GB per job (dict: {FIXED_DICT_SIZE_MB}MB) → &quot;
+                 f&quot;RAM: {ram_gb:.1f}GB available (80% of total), {ram_per_job_gb:.1f}GB per job (dict: {FIXED_DICT_SIZE_MB}MB) → &quot;
                  f&quot;RAM limit: {ram_limit}, CPU limit: {cpu_limit}, final: {final_limit}&quot;,
                  verbose_only=True,

Tool use: **read_lints** • Read lints for 1 file

Lint paths:

zip_sequences.py

Lint results

Lint errors for zip_sequences.py

Message	Range	Severity
Variable "source" is not accessed	72:9-72:15	DIAGNOSTIC_SEVERITY_HINT
"seq_dir" is not accessed	172:26-172:33	DIAGNOSTIC_SEVERITY_HINT
Variable "zip_path" is not accessed	247:18-247:26	DIAGNOSTIC_SEVERITY_HINT
Variable "state_path" is not accessed	247:28-247:38	DIAGNOSTIC_SEVERITY_HINT
Variable "compression_ram_gb" is not accessed	283:13-283:31	DIAGNOSTIC_SEVERITY_HINT

Removing the redundant variable from the log message:

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: undefined, lines removed: 1

@@ -281,5 +281,4 @@
          if verbose:
              ram_gb = available_ram / (1024 ** 3)
-             compression_ram_gb = compression_ram / (1024 ** 3)
              ram_per_job_gb = FIXED_RAM_PER_JOB / (1024 ** 3)
              log(

Tool use: **read_lints** • Read lints for 1 file

Lint paths:

zip_sequences.py

Lint results

Lint errors for zip_sequences.py

Message	Range	Severity
Variable "source" is not accessed	72:9-72:15	DIAGNOSTIC_SEVERITY_HINT
"seq_dir" is not accessed	172:26-172:33	DIAGNOSTIC_SEVERITY_HINT
Variable "zip_path" is not accessed	247:18-247:26	DIAGNOSTIC_SEVERITY_HINT
Variable "state_path" is not accessed	247:28-247:38	DIAGNOSTIC_SEVERITY_HINT

Summary of Changes

Fixed dictionary size: All 7z jobs use a 1GB (1024MB) dictionary, regardless of available RAM.
Fixed per-job RAM calculation: Each job uses ~3GB RAM (1GB dictionary × 3x overhead).
Worker scaling: Workers are calculated as:
- available_ram / 3GB (where available_ram is already 80% of total RAM)
- Capped by CPU limit

With 64GB total RAM:

80% available = ~51.2GB
Workers = 51.2GB / 3GB ≈ 17 workers
Capped by CPU limit (8), so final = 8 workers

This keeps dictionary size consistent (same compression ratio) while scaling worker count based on available RAM. The 1GB dictionary should provide good compression while staying within memory limits.

User (2025-11-11 01:50Z)

it takes a long time to initialize, without really hitting any hardware bottlenecks. can we make that faster?

Agent (model default, mode Agent)

Checking what happens during initialization to identify bottlenecks:

Tool use: **read_file** • Read file: zip_sequences.py

The bottleneck is compute_state() running for every sequence directory before compression. Optimizing by checking existing archives first and computing state only when needed:

Tool use: **read_file** • Read file: zip_sequences.py

Optimizing initialization: for 7z, skip RAM estimation (we use fixed values), and check existing archives first before computing state:

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 1, lines removed: 16

@@ -243,21 +243,6 @@
          return (cpu_limit, None)
      
-     # Estimate RAM per job for each work item
-     ram_estimates = []
-     for seq_dir, zip_path, state_path, seq_state in work_items:
-         try:
-             estimated_ram = estimate_ram_per_job(seq_dir, seq_state)
-             ram_estimates.append(estimated_ram)
-         except Exception:
-             # If estimation fails, use fallback estimates
-             if ZIPPER_TYPE == &quot;7z&quot;:
-                 ram_estimates.append(2 * 1024 * 1024 * 1024)  # 2GB fallback for 7z
-             else:
-                 ram_estimates.append(1024 * 1024 * 1024)  # 1GB fallback for zip
-     
-     if not ram_estimates:
-         return (cpu_limit, None)
-     
      # For 7z: use fixed dictionary size and calculate workers based on available RAM
+     # Skip RAM estimation loop for 7z since we use fixed values
      if ZIPPER_TYPE == &quot;7z&quot; and available_ram is not None:
          # Fixed dictionary size: 1GB (1024MB)

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 13, lines removed: undefined

@@ -278,4 +278,17 @@
      
      # For zip compression, use existing estimation-based approach
+     # Estimate RAM per job for each work item
+     ram_estimates = []
+     for seq_dir, zip_path, state_path, seq_state in work_items:
+         try:
+             estimated_ram = estimate_ram_per_job(seq_dir, seq_state)
+             ram_estimates.append(estimated_ram)
+         except Exception:
+             # If estimation fails, use fallback estimate
+             ram_estimates.append(1024 * 1024 * 1024)  # 1GB fallback for zip
+     
+     if not ram_estimates:
+         return (cpu_limit, None)
+     
      max_ram_per_job = max(ram_estimates)
      ram_limit = max(1, available_ram // max_ram_per_job)

Optimizing run_zip() initialization: check existing archives first, then compute state only when needed:

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 31, lines removed: 13

@@ -597,32 +597,50 @@
      if RENDER_ROOT.exists():
          for seq_dir in find_sequence_dirs(RENDER_ROOT):
-             seq_state = compute_state(seq_dir)
-             if not seq_state[&quot;files&quot;]:
-                 continue
- 
              # Get the target archive path (will be .7z if ZIPPER_TYPE is &quot;7z&quot;)
              zip_path = archive_path_for(seq_dir)
              state_path = state_path_for(zip_path)
+             
+             # Quick check: if archive exists, load stored state first (fast)
+             stored_state = load_state(state_path)
              
              # Check if we need to upgrade from .zip to .7z
              old_zip_path = None
              if ZIPPER_TYPE == &quot;7z&quot;:
-                 # Check if an old .zip file exists
                  old_zip_path = zip_path.with_suffix(&quot;.zip&quot;)
                  if old_zip_path.exists():
-                     # Check if the old .zip&#39;s metadata matches current state
                      old_state_path = state_path_for(old_zip_path)
                      old_stored_state = load_state(old_state_path)
-                     if not state_changed(seq_state, old_stored_state):
-                         # Old .zip is up to date, skip conversion
+                     # If old .zip exists and archive doesn&#39;t, we&#39;ll check state later
+                     if not zip_path.exists() and old_stored_state is not None:
+                         stored_state = old_stored_state
+             
+             # If archive exists and we have stored state, do quick check before computing full state
+             if zip_path.exists() and stored_state is not None:
+                 # Quick check: if directory mtime is older than archive, likely unchanged
+                 try:
+                     dir_mtime = seq_dir.stat().st_mtime_ns
+                     archive_mtime = zip_path.stat().st_mtime_ns
+                     # If directory wasn&#39;t modified since archive was created, skip state computation
+                     if dir_mtime &lt;= archive_mtime:
+                         # Still need to check for old .zip cleanup
+                         if old_zip_path and old_zip_path.exists():
+                             old_zip_path.unlink(missing_ok=True)
+                             old_state_path = state_path_for(old_zip_path)
+                             if old_state_path.exists():
+                                 old_state_path.unlink(missing_ok=True)
                          continue
-                     # Old .zip is out of date, will be replaced with .7z
+                 except OSError:
+                     # If stat fails, fall through to full state computation
+                     pass
              
-             # Check if the target archive (e.g., .7z) already exists and is up to date
-             stored_state = load_state(state_path)
-             if not state_changed(seq_state, stored_state):
+             # Compute current state only if we need to
+             seq_state = compute_state(seq_dir)
+             if not seq_state[&quot;files&quot;]:
+                 continue
+             
+             # Check if state changed
+             if stored_state is not None and not state_changed(seq_state, stored_state):
                  # Target archive is up to date, but we might still need to clean up old .zip
                  if old_zip_path and old_zip_path.exists():
-                     # Old .zip exists but we have a newer .7z, remove the old one
                      old_zip_path.unlink(missing_ok=True)
                      old_state_path = state_path_for(old_zip_path)

Tool use: **read_lints** • Read lints for 1 file

Lint paths:

zip_sequences.py

Lint results

Lint errors for zip_sequences.py

Message	Range	Severity
Variable "source" is not accessed	72:9-72:15	DIAGNOSTIC_SEVERITY_HINT
"seq_dir" is not accessed	172:26-172:33	DIAGNOSTIC_SEVERITY_HINT
Variable "zip_path" is not accessed	282:18-282:26	DIAGNOSTIC_SEVERITY_HINT
Variable "state_path" is not accessed	282:28-282:38	DIAGNOSTIC_SEVERITY_HINT

Made two optimizations to speed up initialization:

Skip RAM estimation for 7z: Since we use fixed dictionary size and RAM values, we no longer iterate through all work items to estimate RAM. This removes an unnecessary loop.
Fast-path state checking: Before computing full state (which walks all files), we now:
- Check if the archive exists and load stored state first (fast file read)
- Do a quick mtime check: if the directory wasn't modified since the archive was created, skip state computation entirely
- Only compute full state when the archive is missing or the directory was modified

This should make initialization faster, especially when most archives are already up-to-date. The script will skip expensive file system walks for directories that haven't changed.

The initialization should now be much faster while maintaining the same functionality.

User (2025-11-11 01:50Z)

we're sadly hitting it even harder now. we need to make it harsher without affecting dict size.

Agent (model default, mode Agent)

Making the worker limits stricter while keeping the dictionary size at 1GB. The 3x multiplier may be too low; increasing it and reducing the RAM allocation percentage:

Tool use: **read_file** • Read file: zip_sequences.py

Making the limits stricter: increasing the RAM multiplier and reducing the RAM allocation percentage:

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 4, lines removed: 4

@@ -248,10 +248,10 @@
          # Fixed dictionary size: 1GB (1024MB)
          FIXED_DICT_SIZE_MB = 1024
-         # 7z uses ~2-3x dictionary size in RAM, use 3x for safety
-         FIXED_RAM_PER_JOB = FIXED_DICT_SIZE_MB * 3 * 1024 * 1024  # 3GB per job
+         # 7z uses ~2-3x dictionary size in RAM, but with overhead use 5x for safety
+         FIXED_RAM_PER_JOB = FIXED_DICT_SIZE_MB * 5 * 1024 * 1024  # 5GB per job
          
          # available_ram is already 80% of total (20% reserved for system)
-         # Use all of it for compression jobs
-         compression_ram = available_ram
+         # Use only 70% of that for compression jobs (leaving more headroom)
+         compression_ram = int(available_ram * 0.7)
          
          # Calculate worker limit based on fixed per-job RAM

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 2, lines removed: 1

@@ -266,8 +266,9 @@
          if verbose:
              ram_gb = available_ram / (1024 ** 3)
+             compression_ram_gb = compression_ram / (1024 ** 3)
              ram_per_job_gb = FIXED_RAM_PER_JOB / (1024 ** 3)
              log(
                  &quot;zip&quot;,
-                 f&quot;RAM: {ram_gb:.1f}GB available (80% of total), {ram_per_job_gb:.1f}GB per job (dict: {FIXED_DICT_SIZE_MB}MB) → &quot;
+                 f&quot;RAM: {ram_gb:.1f}GB available (80% of total), {compression_ram_gb:.1f}GB for compression (70%), {ram_per_job_gb:.1f}GB per job (dict: {FIXED_DICT_SIZE_MB}MB) → &quot;
                  f&quot;RAM limit: {ram_limit}, CPU limit: {cpu_limit}, final: {final_limit}&quot;,
                  verbose_only=True,

Tool use: **read_lints** • Read lints for 1 file

Lint paths:

zip_sequences.py

Lint results

Lint errors for zip_sequences.py

Message	Range	Severity
Variable "source" is not accessed	72:9-72:15	DIAGNOSTIC_SEVERITY_HINT
"seq_dir" is not accessed	172:26-172:33	DIAGNOSTIC_SEVERITY_HINT
Variable "zip_path" is not accessed	283:18-283:26	DIAGNOSTIC_SEVERITY_HINT
Variable "state_path" is not accessed	283:28-283:38	DIAGNOSTIC_SEVERITY_HINT

Made the limits stricter while keeping the dictionary size at 1GB:

Increased RAM multiplier: From 3x to 5x (5GB per job instead of 3GB) to account for 7z overhead and other processes.
Reduced RAM allocation: From 100% to 70% of available RAM for compression jobs, leaving more headroom.

With 64GB total RAM:

80% available = 51.2GB
70% for compression = 35.84GB
5GB per job → ~7 workers max (35.84 / 5 = 7.17)
Capped by CPU limit (8), so final = 7 workers

This should reduce RAM pressure and prevent swapping. The dictionary size remains 1GB, so compression ratio is unchanged.

User (2025-11-11 01:50Z)

we're still hitting it, so the ram allocation has not been reduced.

Agent (model default, mode Agent)

Checking the calculation and making it more conservative:

Tool use: **read_file** • Read file: zip_sequences.py

Reducing RAM allocation more aggressively:

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 4, lines removed: 4

@@ -248,10 +248,10 @@
          # Fixed dictionary size: 1GB (1024MB)
          FIXED_DICT_SIZE_MB = 1024
-         # 7z uses ~2-3x dictionary size in RAM, but with overhead use 5x for safety
-         FIXED_RAM_PER_JOB = FIXED_DICT_SIZE_MB * 5 * 1024 * 1024  # 5GB per job
+         # 7z uses ~2-3x dictionary size in RAM, but with overhead use 6x for safety
+         FIXED_RAM_PER_JOB = FIXED_DICT_SIZE_MB * 6 * 1024 * 1024  # 6GB per job
          
          # available_ram is already 80% of total (20% reserved for system)
-         # Use only 70% of that for compression jobs (leaving more headroom)
-         compression_ram = int(available_ram * 0.7)
+         # Use only 50% of that for compression jobs (very conservative to prevent swapping)
+         compression_ram = int(available_ram * 0.5)
          
          # Calculate worker limit based on fixed per-job RAM

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 1, lines removed: 1

@@ -270,5 +270,5 @@
              log(
                  &quot;zip&quot;,
-                 f&quot;RAM: {ram_gb:.1f}GB available (80% of total), {compression_ram_gb:.1f}GB for compression (70%), {ram_per_job_gb:.1f}GB per job (dict: {FIXED_DICT_SIZE_MB}MB) → &quot;
+                 f&quot;RAM: {ram_gb:.1f}GB available (80% of total), {compression_ram_gb:.1f}GB for compression (50%), {ram_per_job_gb:.1f}GB per job (dict: {FIXED_DICT_SIZE_MB}MB) → &quot;
                  f&quot;RAM limit: {ram_limit}, CPU limit: {cpu_limit}, final: {final_limit}&quot;,
                  verbose_only=True,

Tool use: **read_lints** • Read lints for 1 file

Lint paths:

zip_sequences.py

Lint results

Lint errors for zip_sequences.py

Message	Range	Severity
Variable "source" is not accessed	72:9-72:15	DIAGNOSTIC_SEVERITY_HINT
"seq_dir" is not accessed	172:26-172:33	DIAGNOSTIC_SEVERITY_HINT
Variable "zip_path" is not accessed	283:18-283:26	DIAGNOSTIC_SEVERITY_HINT
Variable "state_path" is not accessed	283:28-283:38	DIAGNOSTIC_SEVERITY_HINT

Made the limits more conservative:

Increased RAM per job: From 5GB to 6GB (6x multiplier instead of 5x) to account for more overhead
Reduced compression RAM allocation: From 70% to 50% of available RAM

With 64GB total RAM:

80% available = 51.2GB
50% for compression = 25.6GB
6GB per job → ~4 workers max (25.6 / 6 = 4.27)
Capped by CPU limit (8), so final = 4 workers

This should significantly reduce RAM usage. The dictionary size remains 1GB, so compression ratio is unchanged. This should prevent swapping while still allowing compression to proceed.

User (2025-11-11 01:50Z)

we're still hitting over the max amount of RAM.

Agent (model default, mode Agent)

Making the limits more aggressive. Checking the current calculation and tightening it further:

Tool use: **read_file** • Read file: zip_sequences.py

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 5, lines removed: 4

@@ -248,10 +248,11 @@
          # Fixed dictionary size: 1GB (1024MB)
          FIXED_DICT_SIZE_MB = 1024
-         # 7z uses ~2-3x dictionary size in RAM, but with overhead use 6x for safety
-         FIXED_RAM_PER_JOB = FIXED_DICT_SIZE_MB * 6 * 1024 * 1024  # 6GB per job
+         # 7z uses ~2-3x dictionary size in RAM, but with overhead use 8x for safety
+         # This accounts for 7z&#39;s internal buffers, OS overhead, and other processes
+         FIXED_RAM_PER_JOB = FIXED_DICT_SIZE_MB * 8 * 1024 * 1024  # 8GB per job
          
          # available_ram is already 80% of total (20% reserved for system)
-         # Use only 50% of that for compression jobs (very conservative to prevent swapping)
-         compression_ram = int(available_ram * 0.5)
+         # Use only 40% of that for compression jobs (very conservative to prevent swapping)
+         compression_ram = int(available_ram * 0.4)
          
          # Calculate worker limit based on fixed per-job RAM

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 1, lines removed: 1

@@ -271,5 +271,5 @@
              log(
                  &quot;zip&quot;,
-                 f&quot;RAM: {ram_gb:.1f}GB available (80% of total), {compression_ram_gb:.1f}GB for compression (50%), {ram_per_job_gb:.1f}GB per job (dict: {FIXED_DICT_SIZE_MB}MB) → &quot;
+                 f&quot;RAM: {ram_gb:.1f}GB available (80% of total), {compression_ram_gb:.1f}GB for compression (40%), {ram_per_job_gb:.1f}GB per job (dict: {FIXED_DICT_SIZE_MB}MB) → &quot;
                  f&quot;RAM limit: {ram_limit}, CPU limit: {cpu_limit}, final: {final_limit}&quot;,
                  verbose_only=True,

Tool use: **read_lints** • Read lints for 1 file

Lint paths:

zip_sequences.py

Lint results

Lint errors for zip_sequences.py

Message	Range	Severity
Variable "source" is not accessed	72:9-72:15	DIAGNOSTIC_SEVERITY_HINT
"seq_dir" is not accessed	172:26-172:33	DIAGNOSTIC_SEVERITY_HINT
Variable "zip_path" is not accessed	284:18-284:26	DIAGNOSTIC_SEVERITY_HINT
Variable "state_path" is not accessed	284:28-284:38	DIAGNOSTIC_SEVERITY_HINT

Made the limits more aggressive:

Increased RAM per job: From 6GB to 8GB (8x multiplier instead of 6x) to account for 7z internal buffers, OS overhead, and other processes
Reduced compression RAM allocation: From 50% to 40% of available RAM

With 64GB total RAM:

80% available = 51.2GB
40% for compression = 20.48GB
8GB per job → ~2 workers max (20.48 / 8 = 2.56)
Capped by CPU limit (8), so final = 2 workers

This should significantly reduce RAM usage. The dictionary size remains 1GB, so compression ratio is unchanged. This should prevent exceeding RAM limits while still allowing compression to proceed, though it will be slower with fewer concurrent workers.

User (2025-11-11 01:50Z)

Limiting the CPU does not keep it from overflowing the RAM, it just makes it achieve overflow slower. Let's do it this way: add a new variable to the config called Max7zInst that specifies the maximum allowed zip instances.

Agent (model default, mode Agent)

Adding a config option to directly limit the number of concurrent 7z instances. Updating the code:

Tool use: **read_file** • Read file: zip_sequences.py

Adding the config option and using it to limit 7z instances:

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 1, lines removed: undefined

@@ -55,4 +55,5 @@
      &quot;compression&quot;: 9,
      &quot;dailyFormat&quot;: &quot;daily_YYMMDD&quot;,
+     &quot;Max7zInst&quot;: None,  # Maximum concurrent 7z instances (None = auto-calculate)
  }

Tool use: **read_file** • Read file: zip_sequences.py

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 10, lines removed: undefined

@@ -108,4 +108,14 @@
  COMPRESSION_LEVEL = max(0, min(9, COMPRESSION_LEVEL))
  
+ MAX_7Z_INSTANCES = CONFIG.get(&quot;Max7zInst&quot;)
+ if MAX_7Z_INSTANCES is not None:
+     if isinstance(MAX_7Z_INSTANCES, str):
+         try:
+             MAX_7Z_INSTANCES = int(MAX_7Z_INSTANCES)
+         except ValueError:
+             MAX_7Z_INSTANCES = None
+     if not isinstance(MAX_7Z_INSTANCES, int) or MAX_7Z_INSTANCES &lt; 1:
+         MAX_7Z_INSTANCES = None
+ 
  SEVEN_Z_EXE: str | None = None
  if ZIPPER_TYPE == &quot;7z&quot;:

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 56, lines removed: 33

@@ -254,39 +254,62 @@
          return (cpu_limit, None)
      
-     # For 7z: use fixed dictionary size and calculate workers based on available RAM
-     # Skip RAM estimation loop for 7z since we use fixed values
-     if ZIPPER_TYPE == &quot;7z&quot; and available_ram is not None:
+     # For 7z: use fixed dictionary size and calculate workers
+     if ZIPPER_TYPE == &quot;7z&quot;:
          # Fixed dictionary size: 1GB (1024MB)
          FIXED_DICT_SIZE_MB = 1024
-         # 7z uses ~2-3x dictionary size in RAM, but with overhead use 8x for safety
-         # This accounts for 7z&#39;s internal buffers, OS overhead, and other processes
-         FIXED_RAM_PER_JOB = FIXED_DICT_SIZE_MB * 8 * 1024 * 1024  # 8GB per job
-         
-         # available_ram is already 80% of total (20% reserved for system)
-         # Use only 40% of that for compression jobs (very conservative to prevent swapping)
-         compression_ram = int(available_ram * 0.4)
-         
-         # Calculate worker limit based on fixed per-job RAM
-         ram_limit = max(1, compression_ram // FIXED_RAM_PER_JOB)
-         
-         # Return minimum of CPU and RAM limits
-         final_limit = min(cpu_limit, ram_limit)
-         
-         # Return fixed dictionary size (in bytes for consistency)
-         fixed_dict_size_bytes = FIXED_DICT_SIZE_MB * 1024 * 1024
-         
-         if verbose:
-             ram_gb = available_ram / (1024 ** 3)
-             compression_ram_gb = compression_ram / (1024 ** 3)
-             ram_per_job_gb = FIXED_RAM_PER_JOB / (1024 ** 3)
-             log(
-                 &quot;zip&quot;,
-                 f&quot;RAM: {ram_gb:.1f}GB available (80% of total), {compression_ram_gb:.1f}GB for compression (40%), {ram_per_job_gb:.1f}GB per job (dict: {FIXED_DICT_SIZE_MB}MB) → &quot;
-                 f&quot;RAM limit: {ram_limit}, CPU limit: {cpu_limit}, final: {final_limit}&quot;,
-                 verbose_only=True,
-                 verbose=verbose
-             )
-         
-         return (final_limit, fixed_dict_size_bytes)
+         fixed_dict_size_bytes = FIXED_DICT_SIZE_MB * 1024 * 1024
+         
+         # Check if Max7zInst is configured
+         if MAX_7Z_INSTANCES is not None:
+             # Use configured maximum instances, but still respect user&#39;s --jobs and CPU limit
+             final_limit = min(cpu_limit, MAX_7Z_INSTANCES)
+             if requested and requested &gt; 0:
+                 final_limit = min(final_limit, requested)
+             
+             if verbose:
+                 log(
+                     &quot;zip&quot;,
+                     f&quot;Using Max7zInst={MAX_7Z_INSTANCES} from config → &quot;
+                     f&quot;CPU limit: {cpu_limit}, requested: {requested}, final: {final_limit}&quot;,
+                     verbose_only=True,
+                     verbose=verbose
+                 )
+             
+             return (final_limit, fixed_dict_size_bytes)
+         
+         # Auto-calculate based on RAM if Max7zInst not configured
+         if available_ram is not None:
+             # 7z uses ~2-3x dictionary size in RAM, but with overhead use 8x for safety
+             # This accounts for 7z&#39;s internal buffers, OS overhead, and other processes
+             FIXED_RAM_PER_JOB = FIXED_DICT_SIZE_MB * 8 * 1024 * 1024  # 8GB per job
+             
+             # available_ram is already 80% of total (20% reserved for system)
+             # Use only 40% of that for compression jobs (very conservative to prevent swapping)
+             compression_ram = int(available_ram * 0.4)
+             
+             # Calculate worker limit based on fixed per-job RAM
+             ram_limit = max(1, compression_ram // FIXED_RAM_PER_JOB)
+             
+             # Return minimum of CPU and RAM limits
+             final_limit = min(cpu_limit, ram_limit)
+             
+             if verbose:
+                 ram_gb = available_ram / (1024 ** 3)
+                 compression_ram_gb = compression_ram / (1024 ** 3)
+                 ram_per_job_gb = FIXED_RAM_PER_JOB / (1024 ** 3)
+                 log(
+                     &quot;zip&quot;,
+                     f&quot;RAM: {ram_gb:.1f}GB available (80% of total), {compression_ram_gb:.1f}GB for compression (40%), {ram_per_job_gb:.1f}GB per job (dict: {FIXED_DICT_SIZE_MB}MB) → &quot;
+                     f&quot;RAM limit: {ram_limit}, CPU limit: {cpu_limit}, final: {final_limit}&quot;,
+                     verbose_only=True,
+                     verbose=verbose
+                 )
+             
+             return (final_limit, fixed_dict_size_bytes)
+         
+         # RAM detection failed, fall back to CPU limit
+         if verbose:
+             log(&quot;zip&quot;, &quot;RAM detection failed and Max7zInst not set, using CPU-based worker limit&quot;, verbose_only=True, verbose=verbose)
+         return (cpu_limit, fixed_dict_size_bytes)
      
      # For zip compression, use existing estimation-based approach

Tool use: **read_lints** • Read lints for 1 file

Lint paths:

zip_sequences.py

Lint results

Lint errors for zip_sequences.py

Message	Range	Severity
Variable "source" is not accessed	73:9-73:15	DIAGNOSTIC_SEVERITY_HINT
"seq_dir" is not accessed	183:26-183:33	DIAGNOSTIC_SEVERITY_HINT
Variable "zip_path" is not accessed	318:18-318:26	DIAGNOSTIC_SEVERITY_HINT
Variable "state_path" is not accessed	318:28-318:38	DIAGNOSTIC_SEVERITY_HINT

User (2025-11-11 01:50Z)

no, add the variable to config.json.

Agent (model default, mode Agent)

Adding Max7zInst to config.json:

Tool use: **read_file** • Read file: config.json

The string to replace was not found in the file.

Tool use: **code_edit** • Edit file: config.json

Chunk 1 Lines added: 2, lines removed: 1

@@ -3,5 +3,6 @@
    &quot;structDir&quot;: &quot;D:\\0 ProjectStructure&quot;,
    &quot;zipper&quot;: &quot;7z&quot;,
-   &quot;compression&quot;: 9
+   &quot;compression&quot;: 9,
+   &quot;Max7zInst&quot;: null
  }

Added Max7zInst to config.json. Set it to a number to limit concurrent 7z instances. For example:

"Max7zInst": 2 - limits to 2 concurrent 7z instances
"Max7zInst": 3 - limits to 3 concurrent 7z instances
"Max7zInst": null - uses auto-calculation based on RAM (current behavior)

This directly limits the number of workers, preventing RAM overflow regardless of CPU or RAM calculations. The value still respects the --jobs command-line argument if provided (it will use the minimum of the three: CPU limit, Max7zInst, and --jobs).

User (2025-11-11 01:50Z)

NEVER limit CPU.

Agent (model default, mode Agent)

Removing the CPU limit from the worker calculation so only Max7zInst or RAM-based limits apply:

Tool use: **read_file** • Read file: zip_sequences.py

Removing CPU limits from the 7z worker calculation:

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 2, lines removed: 2

@@ -262,6 +262,6 @@
          # Check if Max7zInst is configured
          if MAX_7Z_INSTANCES is not None:
-             # Use configured maximum instances, but still respect user&#39;s --jobs and CPU limit
-             final_limit = min(cpu_limit, MAX_7Z_INSTANCES)
+             # Use configured maximum instances, but still respect user&#39;s --jobs
+             final_limit = MAX_7Z_INSTANCES
              if requested and requested &gt; 0:
                  final_limit = min(final_limit, requested)

Chunk 2 Lines added: 1, lines removed: 1

@@ -271,5 +271,5 @@
                      &quot;zip&quot;,
                      f&quot;Using Max7zInst={MAX_7Z_INSTANCES} from config → &quot;
-                     f&quot;CPU limit: {cpu_limit}, requested: {requested}, final: {final_limit}&quot;,
+                     f&quot;requested: {requested}, final: {final_limit}&quot;,
                      verbose_only=True,
                      verbose=verbose

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 4, lines removed: 2

@@ -291,6 +291,8 @@
              ram_limit = max(1, compression_ram // FIXED_RAM_PER_JOB)
              
-             # Return minimum of CPU and RAM limits
-             final_limit = min(cpu_limit, ram_limit)
+             # Use RAM limit directly (no CPU limit)
+             final_limit = ram_limit
+             if requested and requested &gt; 0:
+                 final_limit = min(final_limit, requested)
              
              if verbose:

Chunk 2 Lines added: 1, lines removed: 1

@@ -301,5 +303,5 @@
                      &quot;zip&quot;,
                      f&quot;RAM: {ram_gb:.1f}GB available (80% of total), {compression_ram_gb:.1f}GB for compression (40%), {ram_per_job_gb:.1f}GB per job (dict: {FIXED_DICT_SIZE_MB}MB) → &quot;
-                     f&quot;RAM limit: {ram_limit}, CPU limit: {cpu_limit}, final: {final_limit}&quot;,
+                     f&quot;RAM limit: {ram_limit}, requested: {requested}, final: {final_limit}&quot;,
                      verbose_only=True,
                      verbose=verbose

Chunk 3 Lines added: 6, lines removed: 3

@@ -308,8 +310,11 @@
              return (final_limit, fixed_dict_size_bytes)
          
-         # RAM detection failed, fall back to CPU limit
+         # RAM detection failed, use a safe default (no CPU limit)
          if verbose:
-             log(&quot;zip&quot;, &quot;RAM detection failed and Max7zInst not set, using CPU-based worker limit&quot;, verbose_only=True, verbose=verbose)
-         return (cpu_limit, fixed_dict_size_bytes)
+             log(&quot;zip&quot;, &quot;RAM detection failed and Max7zInst not set, using default worker limit of 4&quot;, verbose_only=True, verbose=verbose)
+         default_limit = 4
+         if requested and requested &gt; 0:
+             default_limit = requested
+         return (default_limit, fixed_dict_size_bytes)
      
      # For zip compression, use existing estimation-based approach

Tool use: **read_lints** • Read lints for 1 file

Lint paths:

zip_sequences.py

Lint results

Lint errors for zip_sequences.py

Message	Range	Severity
Variable "source" is not accessed	73:9-73:15	DIAGNOSTIC_SEVERITY_HINT
"seq_dir" is not accessed	183:26-183:33	DIAGNOSTIC_SEVERITY_HINT
Variable "zip_path" is not accessed	323:18-323:26	DIAGNOSTIC_SEVERITY_HINT
Variable "state_path" is not accessed	323:28-323:38	DIAGNOSTIC_SEVERITY_HINT

Removed CPU limits from the 7z worker calculation. Now:

If Max7zInst is set: Uses that value directly (still respects --jobs if provided)
If auto-calculating from RAM: Uses the RAM-based limit directly, no CPU cap
If RAM detection fails: Uses a default of 4 workers (not CPU-based)

The worker count is now controlled only by:

Max7zInst config value (if set)
RAM-based calculation (if Max7zInst is null)
--jobs command-line argument (if provided)

CPU limits no longer apply to 7z compression. Set Max7zInst in your config to directly control the number of concurrent instances.

User (2025-11-11 01:50Z)

@pwsh (398-454) how is it not finding gitattributes?

Agent (model default, mode Agent)

Checking how ConfigLoader searches for .gitattributes files:

Tool use: **read_file** • Read file: ConfigLoader.ps1

The issue is that Get-ChildItem doesn't find hidden files by default. Since .gitattributes starts with a dot, it's hidden. Adding -Force to the search so it finds hidden files:

Tool use: **code_edit** • Edit file: ConfigLoader.ps1

Chunk 1 Lines added: 1, lines removed: 1

@@ -256,5 +256,5 @@
              Write-Host &quot;&#96;n=== Updating $($spec.Name) ===&quot; -ForegroundColor Magenta
  
-             $targets = Get-ChildItem -LiteralPath $resolvedProject -Recurse -Filter $spec.Name -File -ErrorAction SilentlyContinue
+             $targets = Get-ChildItem -LiteralPath $resolvedProject -Recurse -Filter $spec.Name -File -Force -ErrorAction SilentlyContinue
              $targets = $targets | Where-Object { $_.FullName -ne $spec.Source }

Tool use: **read_lints** • Read lints for 1 file

Lint paths:

ConfigLoader.ps1

Lint results

No lint errors found

Added the -Force parameter to Get-ChildItem. By default, PowerShell doesn't return hidden files (those starting with a dot). With -Force, it will find .gitattributes and other hidden files during the recursive search.

Now when you run ConfigLoader, it should find and update any existing .gitattributes files in the project, not just deploy a new one to the root.

User (2025-11-11 01:50Z)

let's change the automatic value from null to 0.

Agent (model default, mode Agent)

Updating the default value from null to 0 in both the code and config file:

Tool use: **read_file** • Read file: config.json

Tool use: **read_file** • Read file: zip_sequences.py

Updating the code to use 0 for auto-calculate and updating the config:

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 1, lines removed: 1

@@ -55,5 +55,5 @@
      &quot;compression&quot;: 9,
      &quot;dailyFormat&quot;: &quot;daily_YYMMDD&quot;,
-     &quot;Max7zInst&quot;: None,  # Maximum concurrent 7z instances (None = auto-calculate)
+     &quot;Max7zInst&quot;: 0,  # Maximum concurrent 7z instances (0 = auto-calculate)
  }

Tool use: **code_edit** • Edit file: zip_sequences.py

Chunk 1 Lines added: 6, lines removed: 3

@@ -108,13 +108,16 @@
  COMPRESSION_LEVEL = max(0, min(9, COMPRESSION_LEVEL))
  
- MAX_7Z_INSTANCES = CONFIG.get(&quot;Max7zInst&quot;)
+ MAX_7Z_INSTANCES = CONFIG.get(&quot;Max7zInst&quot;, 0)
  if MAX_7Z_INSTANCES is not None:
      if isinstance(MAX_7Z_INSTANCES, str):
          try:
              MAX_7Z_INSTANCES = int(MAX_7Z_INSTANCES)
          except ValueError:
-             MAX_7Z_INSTANCES = None
+             MAX_7Z_INSTANCES = 0
      if not isinstance(MAX_7Z_INSTANCES, int) or MAX_7Z_INSTANCES &lt; 1:
-         MAX_7Z_INSTANCES = None
+         MAX_7Z_INSTANCES = 0
+ # Treat 0 as None (auto-calculate)
+ if MAX_7Z_INSTANCES == 0:
+     MAX_7Z_INSTANCES = None
  
  SEVEN_Z_EXE: str | None = None

Tool use: **code_edit** • Edit file: config.json

Chunk 1 Lines added: 1, lines removed: 1

@@ -4,5 +4,5 @@
    &quot;zipper&quot;: &quot;7z&quot;,
    &quot;compression&quot;: 9,
-   &quot;Max7zInst&quot;: 1
+   &quot;Max7zInst&quot;: 0
  }

Tool use: **read_lints** • Read lints for 1 file

Lint paths:

zip_sequences.py

Lint results

Lint errors for zip_sequences.py

Message	Range	Severity
Variable "source" is not accessed	73:9-73:15	DIAGNOSTIC_SEVERITY_HINT
"seq_dir" is not accessed	186:26-186:33	DIAGNOSTIC_SEVERITY_HINT
Variable "zip_path" is not accessed	326:18-326:26	DIAGNOSTIC_SEVERITY_HINT
Variable "state_path" is not accessed	326:28-326:38	DIAGNOSTIC_SEVERITY_HINT

Updated the code to use 0 for auto-calculate instead of null:

DEFAULT_CONFIG: Changed from None to 0
Logic: Treats 0 as None (auto-calculate), so 0 triggers RAM-based calculation
config.json: Set to 0

Now:

"Max7zInst": 0 = auto-calculate based on RAM
"Max7zInst": 1 = limit to 1 instance
"Max7zInst": 2 = limit to 2 instances
etc.

This makes the config clearer: 0 means automatic, and any positive number sets a hard limit.

User (2025-11-11 01:50Z)

I think we're just dealing with massive sequences. This is only 1 instance, so even if I had 2x the ram, I would only be able to afford 2!

Agent (model default, mode Agent)

Large sequences are using far more RAM than estimated. Making the dictionary size configurable and reducing the default to lower per-instance usage:

Tool use: **read_file** • Read file: zip_sequences.py

Tool use: **read_file** • Read file: config.json

User (2025-11-11 01:50Z)

Nope, we're keeping the dictsize as large as possible. I just need to keep in mind my limitations on a per-project basis.

Agent (model default, mode Agent)

The current setup supports this. Keep the dictionary size at 1GB for best compression, and set Max7zInst per project in .config/config.json to limit concurrent instances based on your RAM.

For example:

"Max7zInst": 1 - Only 1 concurrent 7z instance (safest for large sequences)
"Max7zInst": 2 - 2 concurrent instances (if you have more RAM)
"Max7zInst": 0 - Auto-calculate (may still hit limits with very large sequences)

The dictionary size stays at 1GB for maximum compression, and you control concurrency per project. This lets you tune each project based on sequence sizes and available RAM.

User (2025-11-11 06:13Z)

this is on another system. ignore the 7z PATH error. Are there any other relevant errors?

& "R:\Creative\artsy\maya\2025-02 BondingArtifact\Renders\ZipSeqArchv.bat"

[zip] RAM: 76.7GB available (80% of total), 30.7GB for compression (40%), 8.0GB per job (dict: 1024MB) → RAM limit: 3, requested: None, final: 3

[zip] Renders\0_GaslightRender\2024-11-23\GaslightRender_smol -> Renders_zipped\0_GaslightRender\2024-11-23\GaslightRender_smol.7z

[zip] Renders\3_background\2025-01-13\background -> Renders_zipped\3_background\2025-01-13\background.7z

[zip] Renders\3_background\2025-10-26\3_background_dark -> Renders_zipped\3_background\2025-10-26\3_background_dark.7z

[zip] Renders\3_background\2025-10-30\3_background_dark -> Renders_zipped\3_background\2025-10-30\3_background_dark.7z