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fix: resolve live monitoring bug, remove deprecated parameters, and auto-start Python worker

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- Fix live monitoring style error by calling _live_monitor() helper directly
- Remove default_parameters duplication from 10 workflow metadata files
- Remove deprecated volume_mode parameter from 26 files across CLI, SDK, backend, and docs
- Configure Python worker to start automatically with docker compose up
- Clean up constants, validation, completion, and example files

Fixes #
- Live monitoring now works correctly with --live flag
- Workflow metadata follows JSON Schema standard
- Cleaner codebase without deprecated volume_mode
- Python worker (most commonly used) starts by default
This commit is contained in:
tduhamel42
2025-10-22 16:26:58 +02:00
parent 1c3c7a801e
commit 09951d68d7
27 changed files with 7 additions and 158 deletions
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sdk/examples/batch_analysis.py
-5
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@@ -135,23 +135,18 @@ class BatchAnalyzer:
# Determine appropriate timeout based on workflow type
if "fuzzing" in metadata.tags:
timeout = 1800 # 30 minutes for fuzzing
volume_mode = "rw"
elif "dynamic" in metadata.tags:
timeout = 900 # 15 minutes for dynamic analysis
volume_mode = "rw"
else:
timeout = 300 # 5 minutes for static analysis
volume_mode = "ro"
except Exception:
# Fallback settings
timeout = 600
volume_mode = "ro"
# Create submission
submission = create_workflow_submission(
target_path=project_path,
volume_mode=volume_mode,
timeout=timeout
)