mirror of
https://github.com/MLSysBook/TinyTorch.git
synced 2026-04-29 06:32:55 -05:00
bb5e631214
The checkpoint command tracked 21 technical capability checkpoints, but this overlapped significantly with the milestones system which provides a more engaging, narrative-driven progress tracking experience. Changes: - Removed checkpoint command and test files - Updated milestone.py to remove checkpoint dependencies - Removed checkpoint integration from export.py, src.py, leaderboard.py - Updated CLI help text to reference milestones instead - Updated test suite (49/49 tests passing) - Archived checkpoint.py for reference Rationale: - Milestones is more engaging (historical ML achievements) - Module status already shows granular progress - Reduces duplication and confusion - Single clear progress tracking system 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
647 lines
33 KiB
Python
647 lines
33 KiB
Python
"""
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Export command for TinyTorch CLI: exports notebook code to Python package using nbdev.
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"""
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import subprocess
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import sys
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import re
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import stat
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from argparse import ArgumentParser, Namespace
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from pathlib import Path
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from typing import Optional, Dict
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from rich.panel import Panel
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from rich.text import Text
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import logging
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logger = logging.getLogger(__name__)
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from .base import BaseCommand
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class ExportCommand(BaseCommand):
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@property
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def name(self) -> str:
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return "export"
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@property
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def description(self) -> str:
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return "Export notebook code to Python package"
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def add_arguments(self, parser: ArgumentParser) -> None:
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parser.add_argument("modules", nargs="*", help="Export specific modules (e.g., 01_tensor 02_activations)")
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parser.add_argument("--all", action="store_true", help="Export all modules")
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parser.add_argument("--from-release", action="store_true", help="Export from release directory (student version) instead of source")
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parser.add_argument("--test-checkpoint", action="store_true", help="Run checkpoint test after successful export")
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def _get_export_target(self, module_path: Path) -> str:
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"""
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Read the actual export target from the source file's #| default_exp directive.
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This is the source of truth, not the YAML file.
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"""
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# module_path might be pointing to modules/ (notebooks) or src/ (source)
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# Always look in src/ for the source file
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module_name = module_path.name
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# Check if we're in modules/ or src/
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if "modules" in str(module_path):
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# Convert modules/XX_name to src/XX_name
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source_path = Path("src") / module_name
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else:
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source_path = module_path
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# Use full module name for file (e.g., 01_tensor.py)
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dev_file = source_path / f"{module_name}.py"
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if not dev_file.exists():
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return "unknown"
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try:
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with open(dev_file, 'r', encoding='utf-8') as f:
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content = f.read()
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# Look for #| default_exp directive with more flexible regex
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match = re.search(r'#\|\s*default_exp\s+([^\n\r]+)', content)
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if match:
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return match.group(1).strip()
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except Exception as e:
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# Debug: print the error for troubleshooting
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print(f"Debug: Error reading {dev_file}: {e}")
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return "unknown"
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def _discover_modules(self) -> list:
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"""Discover available modules from src directory."""
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source_dir = Path("src")
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modules = []
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if source_dir.exists():
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exclude_dirs = {'.quarto', '__pycache__', '.git', '.pytest_cache'}
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for module_dir in source_dir.iterdir():
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if module_dir.is_dir() and module_dir.name not in exclude_dirs:
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modules.append(module_dir.name)
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return sorted(modules)
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def _show_next_steps(self, completed_module: str) -> None:
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"""Show next steps after successful module completion."""
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console = self.console
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# Get module number for next module suggestion
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if completed_module.startswith(tuple(f"{i:02d}_" for i in range(100))):
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try:
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module_num = int(completed_module[:2])
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next_num = module_num + 1
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# Suggest next module (updated for reordered progression)
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next_modules = {
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1: ("02_tensor", "Tensor operations - the foundation of ML"),
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2: ("03_activations", "Activation functions - adding intelligence"),
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3: ("04_layers", "Neural layers - building blocks"),
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4: ("05_losses", "Loss functions - measuring performance"),
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5: ("06_optimizers", "Optimization algorithms - systematic weight updates"),
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6: ("07_autograd", "Automatic differentiation - gradient computation"),
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7: ("08_training", "Training loops - end-to-end learning"),
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8: ("09_spatial", "Spatial processing - convolutional operations"),
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9: ("10_dataloader", "Data loading - efficient training pipelines"),
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10: ("11_tokenization", "Text preprocessing - sequence understanding"),
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11: ("12_embeddings", "Vector representations - semantic learning"),
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12: ("13_attention", "Attention mechanisms - selective focus"),
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13: ("14_transformers", "Transformer architectures - sequence modeling"),
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14: ("15_acceleration", "Performance optimization - efficient computation"),
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19: ("20_capstone", "Capstone project - complete ML systems"),
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}
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if next_num in next_modules:
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next_module, next_desc = next_modules[next_num]
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console.print(f"\n[bold cyan]🎯 Continue Your Journey[/bold cyan]")
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console.print(f"[bold]Next Module:[/bold] {next_module}")
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console.print(f"[dim]{next_desc}[/dim]")
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console.print(f"\n[green]Ready to continue? Run:[/green]")
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console.print(f"[dim] tito module start {next_module}[/dim]")
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elif next_num > 16:
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console.print(f"\n[bold green]🏆 Congratulations![/bold green]")
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console.print(f"[green]You've completed all TinyTorch modules![/green]")
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console.print(f"[dim]Run 'tito checkpoint status' to see your full progress[/dim]")
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except (ValueError, IndexError):
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pass
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# General next steps
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console.print(f"\n[bold]Continue your ML systems journey:[/bold]")
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console.print(f"[dim] tito checkpoint status - View overall progress[/dim]")
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console.print(f"[dim] tito checkpoint timeline - Visual progress timeline[/dim]")
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def _add_autogenerated_warnings(self, console):
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"""Add auto-generated warnings to all exported Python files."""
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console.print("[yellow]🔧 Adding DO NOT EDIT warnings to all exported files...[/yellow]")
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tinytorch_path = Path("tinytorch")
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if not tinytorch_path.exists():
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return
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files_updated = 0
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for py_file in tinytorch_path.rglob("*.py"):
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if py_file.name == "__init__.py":
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continue # Skip __init__.py files
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try:
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# Read the current content
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with open(py_file, 'r', encoding='utf-8') as f:
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content = f.read()
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# Check if warning already exists (check for the box format specifically)
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if "╔═══════════════════════════════════════════════════════════════════════════════╗" in content:
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continue # Already has the new warning format
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# Remove old header format if it exists
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if "AUTOGENERATED! DO NOT EDIT! File to edit:" in content:
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lines = content.split('\n')
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# Remove the old header line (usually first line)
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if lines and "AUTOGENERATED! DO NOT EDIT! File to edit:" in lines[0]:
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lines = lines[1:] # Remove first line
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# Also remove empty line after if it exists
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if lines and lines[0].strip() == "":
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lines = lines[1:]
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content = '\n'.join(lines)
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# Find the source file for this export
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source_file = self._find_source_file_for_export(py_file)
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# Create enhanced auto-generated warning header
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warning_header = f"""# ╔═══════════════════════════════════════════════════════════════════════════════╗
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# ║ 🚨 CRITICAL WARNING 🚨 ║
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# ║ AUTOGENERATED! DO NOT EDIT! ║
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# ║ ║
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# ║ This file is AUTOMATICALLY GENERATED from source modules. ║
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# ║ ANY CHANGES MADE HERE WILL BE LOST when modules are re-exported! ║
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# ║ ║
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# ║ ✅ TO EDIT: {source_file:<54} ║
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# ║ ✅ TO EXPORT: Run 'tito module complete <module_name>' ║
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# ║ ║
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# ║ 🛡️ STUDENT PROTECTION: This file contains optimized implementations. ║
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# ║ Editing it directly may break module functionality and training. ║
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# ║ ║
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# ║ 🎓 LEARNING TIP: Work in src/ (developers) or modules/ (learners) ║
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# ║ The tinytorch/ directory is generated code - edit source files instead! ║
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# ╚═══════════════════════════════════════════════════════════════════════════════╝
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"""
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# Add warning at the top (after any existing shebang)
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lines = content.split('\n')
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insert_index = 0
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# Skip shebang line if present
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if lines and lines[0].startswith('#!'):
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insert_index = 1
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# Insert warning
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lines.insert(insert_index, warning_header.rstrip())
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# Write back the modified content
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with open(py_file, 'w', encoding='utf-8') as f:
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f.write('\n'.join(lines))
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files_updated += 1
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except Exception as e:
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console.print(f"[yellow]⚠️ Could not add warning to {py_file}: {e}[/yellow]")
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if files_updated > 0:
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console.print(f"[green]✅ Added auto-generated warnings to {files_updated} files[/green]")
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def _find_source_file_for_export(self, exported_file: Path) -> str:
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"""Find the source dev file that generated this export."""
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# Convert tinytorch/core/something.py back to source path
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rel_path = exported_file.relative_to(Path("tinytorch"))
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# Remove .py extension and convert to module path
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module_parts = rel_path.with_suffix('').parts
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# Common mappings (source files are now in src/)
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source_mappings = {
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('core', 'tensor'): 'src/01_tensor/01_tensor.py',
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('core', 'activations'): 'src/02_activations/02_activations.py',
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('core', 'layers'): 'src/03_layers/03_layers.py',
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('core', 'dense'): 'src/04_losses/04_losses.py',
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('core', 'spatial'): 'src/09_spatial/09_spatial.py',
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('core', 'attention'): 'src/12_attention/12_attention.py',
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('core', 'dataloader'): 'src/08_dataloader/08_dataloader.py',
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('core', 'autograd'): 'src/05_autograd/05_autograd.py',
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('core', 'optimizers'): 'src/06_optimizers/06_optimizers.py',
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('core', 'training'): 'src/07_training/07_training.py',
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('core', 'compression'): 'src/16_compression/16_compression.py',
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('core', 'benchmarking'): 'src/19_benchmarking/19_benchmarking.py',
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}
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if module_parts in source_mappings:
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return source_mappings[module_parts]
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# Fallback: try to guess based on the file name
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if len(module_parts) >= 2:
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module_name = module_parts[-1] # e.g., 'tensor' from ('core', 'tensor')
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return f"src/XX_{module_name}/XX_{module_name}.py"
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return "src/[unknown]/[unknown].py"
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def _show_export_details(self, console, module_name: Optional[str] = None):
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"""Show detailed export information including where each module exports to."""
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exports_text = Text()
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exports_text.append("📦 Export Details:\n", style="bold cyan")
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if module_name:
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# Single module export
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module_path = Path(f"modules/{module_name}")
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export_target = self._get_export_target(module_path)
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if export_target != "unknown":
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target_file = export_target.replace('.', '/') + '.py'
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exports_text.append(f" 🔄 {module_name} → tinytorch/{target_file}\n", style="green")
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# Extract the short name for display
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short_name = module_name[3:] if module_name.startswith(tuple(f"{i:02d}_" for i in range(100))) else module_name
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exports_text.append(f" Source: modules/{module_name}/{short_name}.py\n", style="dim")
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exports_text.append(f" Target: tinytorch/{target_file}\n", style="dim")
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else:
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exports_text.append(f" ❓ {module_name} → export target not found\n", style="yellow")
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else:
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# All modules export
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modules = self._discover_modules()
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for module_name in modules:
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module_path = Path(f"modules/{module_name}")
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export_target = self._get_export_target(module_path)
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if export_target != "unknown":
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target_file = export_target.replace('.', '/') + '.py'
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exports_text.append(f" 🔄 {module_name} → tinytorch/{target_file}\n", style="green")
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# Show what was actually created
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exports_text.append("\n📁 Generated Files:\n", style="bold cyan")
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tinytorch_path = Path("tinytorch")
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if tinytorch_path.exists():
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for py_file in tinytorch_path.rglob("*.py"):
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if py_file.name != "__init__.py" and py_file.stat().st_size > 100: # Non-empty files
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rel_path = py_file.relative_to(tinytorch_path)
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exports_text.append(f" ✅ tinytorch/{rel_path}\n", style="green")
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exports_text.append("\n💡 Next steps:\n", style="bold yellow")
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exports_text.append(" • Run: tito test --all\n", style="white")
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exports_text.append(" • Or: tito test <module_name>\n", style="white")
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exports_text.append(" • Or: tito export <module> --test-checkpoint\n", style="white")
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console.print(Panel(exports_text, title="Export Summary", border_style="bright_green"))
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def _validate_notebook_integrity(self, notebook_path: Path) -> Dict:
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"""Validate notebook integrity and structure."""
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import json
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try:
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with open(notebook_path, 'r', encoding='utf-8') as f:
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notebook_data = json.load(f)
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# Basic structure checks
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issues = []
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warnings = []
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# Check required fields
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if 'cells' not in notebook_data:
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issues.append("Missing 'cells' field")
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elif not isinstance(notebook_data['cells'], list):
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issues.append("'cells' field is not a list")
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if 'metadata' not in notebook_data:
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warnings.append("Missing metadata field")
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if 'nbformat' not in notebook_data:
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warnings.append("Missing nbformat field")
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# Check cells for common issues
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cell_count = 0
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code_cells = 0
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markdown_cells = 0
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if 'cells' in notebook_data:
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for i, cell in enumerate(notebook_data['cells']):
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cell_count += 1
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if 'cell_type' not in cell:
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issues.append(f"Cell {i}: missing cell_type")
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continue
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cell_type = cell['cell_type']
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if cell_type == 'code':
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code_cells += 1
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if 'source' not in cell:
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warnings.append(f"Code cell {i}: missing source")
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elif cell_type == 'markdown':
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markdown_cells += 1
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if 'source' not in cell:
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warnings.append(f"Markdown cell {i}: missing source")
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else:
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warnings.append(f"Cell {i}: unusual cell type '{cell_type}'")
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return {
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"valid": len(issues) == 0,
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"issues": issues,
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"warnings": warnings,
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"stats": {
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"total_cells": cell_count,
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"code_cells": code_cells,
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"markdown_cells": markdown_cells
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}
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}
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except json.JSONDecodeError as e:
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return {
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"valid": False,
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"issues": [f"Invalid JSON: {str(e)}"],
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"warnings": [],
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"stats": {}
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}
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except Exception as e:
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return {
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"valid": False,
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"issues": [f"Validation error: {str(e)}"],
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"warnings": [],
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"stats": {}
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}
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def _convert_py_to_notebook(self, module_path: Path) -> bool:
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"""Convert .py file from src/ to .ipynb in modules/ using Jupytext."""
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module_name = module_path.name
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# Source file is in src/ with full module name (e.g., src/01_tensor/01_tensor.py)
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dev_file = module_path / f"{module_name}.py"
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if not dev_file.exists():
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self.console.print(f"[red]❌ Python file not found: {dev_file}[/red]")
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return False
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# Output notebook goes to modules/ (e.g., modules/01_tensor/01_tensor.ipynb)
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modules_dir = Path("modules") / module_name
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modules_dir.mkdir(parents=True, exist_ok=True)
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notebook_file = modules_dir / f"{module_name}.ipynb"
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# Always regenerate notebook from Python file (Python is source of truth)
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self.console.print(f"[dim]📄 Source: {dev_file.name} → Target: {notebook_file.name}[/dim]")
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if notebook_file.exists():
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self.console.print(f"[dim]🔄 Overwriting existing notebook (Python file is source of truth)[/dim]")
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else:
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self.console.print(f"[dim]✨ Creating new notebook from Python file[/dim]")
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try:
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# Prefer venv jupytext, fallback to system if needed
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jupytext_path = "jupytext"
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# Get the project root directory (where .venv should be)
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project_root = Path(__file__).parent.parent.parent
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venv_jupytext = self.venv_path / "bin" / "jupytext"
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if venv_jupytext.exists():
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# Test venv jupytext first
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test_result = subprocess.run([str(venv_jupytext), "--version"],
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capture_output=True, text=True)
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if test_result.returncode == 0:
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jupytext_path = str(venv_jupytext)
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self.console.print(f"[dim]🔧 Using venv jupytext: {venv_jupytext}[/dim]")
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else:
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self.console.print(f"[dim]⚠️ Venv jupytext has issues, falling back to system[/dim]")
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self.console.print(f"[dim]🔧 Using system jupytext: {jupytext_path}[/dim]")
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else:
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self.console.print(f"[dim]🔧 Using system jupytext: {jupytext_path}[/dim]")
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self.console.print(f"[dim]⚙️ Running: {jupytext_path} --to ipynb {dev_file.name} --output {notebook_file.name}[/dim]")
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result = subprocess.run([
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jupytext_path, "--to", "ipynb", str(dev_file), "--output", str(notebook_file)
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], capture_output=True, text=True, cwd=project_root)
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if result.returncode == 0:
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self.console.print(f"[dim]✅ Jupytext conversion successful[/dim]")
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# Validate the generated notebook
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validation = self._validate_notebook_integrity(notebook_file)
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if not validation["valid"]:
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self.console.print(f"[red]❌ Generated notebook has integrity issues:[/red]")
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for issue in validation["issues"]:
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self.console.print(f"[red] • {issue}[/red]")
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return False
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if validation["warnings"]:
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self.console.print("[yellow]⚠️ Notebook warnings:[/yellow]")
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for warning in validation["warnings"]:
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self.console.print(f"[yellow] • {warning}[/yellow]")
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# Show notebook stats
|
|
stats = validation["stats"]
|
|
self.console.print(f"[dim]📊 Generated notebook: {stats.get('total_cells', 0)} cells "
|
|
f"({stats.get('code_cells', 0)} code, {stats.get('markdown_cells', 0)} markdown)[/dim]")
|
|
|
|
return True
|
|
else:
|
|
self.console.print(f"[red]❌ Jupytext failed with return code {result.returncode}[/red]")
|
|
if result.stderr:
|
|
self.console.print(f"[red]Error: {result.stderr.strip()}[/red]")
|
|
return False
|
|
|
|
except FileNotFoundError:
|
|
self.console.print(f"[red]❌ Jupytext not found. Install with: pip install jupytext[/red]")
|
|
return False
|
|
except Exception as e:
|
|
self.console.print(f"[red]❌ Conversion error: {e}[/red]")
|
|
return False
|
|
|
|
def _convert_all_modules(self) -> list:
|
|
"""Convert all modules' .py files from src/ to .ipynb files in modules/."""
|
|
modules = self._discover_modules()
|
|
converted = []
|
|
|
|
for module_name in modules:
|
|
module_path = Path(f"src/{module_name}")
|
|
if self._convert_py_to_notebook(module_path):
|
|
converted.append(module_name)
|
|
|
|
return converted
|
|
|
|
def run(self, args: Namespace) -> int:
|
|
console = self.console
|
|
logger.info("Starting export command")
|
|
|
|
# Determine what to export
|
|
if hasattr(args, 'modules') and args.modules:
|
|
logger.info(f"Exporting specific modules: {args.modules}")
|
|
# Export multiple specific modules
|
|
modules_to_export = args.modules
|
|
|
|
console.print(Panel(f"🔄 Exporting Modules: {', '.join(modules_to_export)}",
|
|
title="Complete Export Workflow", border_style="bright_cyan"))
|
|
|
|
exported_notebooks = []
|
|
|
|
# Process each module
|
|
for module_name in modules_to_export:
|
|
logger.debug(f"Processing module: {module_name}")
|
|
module_path = Path(f"src/{module_name}")
|
|
if not module_path.exists():
|
|
console.print(Panel(f"[red]❌ Module '{module_name}' not found in src/[/red]",
|
|
title="Module Not Found", border_style="red"))
|
|
|
|
# Show available modules
|
|
available_modules = self._discover_modules()
|
|
if available_modules:
|
|
help_text = Text()
|
|
help_text.append("Available modules:\n", style="bold yellow")
|
|
for module in available_modules:
|
|
help_text.append(f" • {module}\n", style="white")
|
|
console.print(Panel(help_text, title="Available Modules", border_style="yellow"))
|
|
|
|
return 1
|
|
|
|
# Always convert Python file to notebook (Python file is source of truth)
|
|
# Notebook will be created in modules/ directory
|
|
notebook_file = Path("modules") / module_name / f"{module_name}.ipynb"
|
|
|
|
console.print(f"📝 Converting {module_name} Python file to notebook...")
|
|
if not self._convert_py_to_notebook(module_path):
|
|
logger.error(f"Failed to convert .py file to notebook for {module_name}")
|
|
return 1
|
|
exported_notebooks.append(str(notebook_file))
|
|
|
|
logger.info(f"Exporting {len(exported_notebooks)} notebooks to tinytorch package")
|
|
|
|
# Export all notebooks
|
|
success_count = 0
|
|
for notebook_path_str in exported_notebooks:
|
|
try:
|
|
notebook_path = Path(notebook_path_str)
|
|
notebook_name = notebook_path.name
|
|
console.print(f"[dim]🔄 Exporting {notebook_name} to tinytorch package...[/dim]")
|
|
|
|
# --- FIX: Ensure target file is writable before exporting ---
|
|
module_path = notebook_path.parent
|
|
export_target = self._get_export_target(module_path)
|
|
if export_target != "unknown":
|
|
target_file_rel_path = export_target.replace('.', '/') + '.py'
|
|
target_file = Path("tinytorch") / target_file_rel_path
|
|
|
|
if target_file.exists():
|
|
try:
|
|
# Add write permission for the owner to overwrite the file
|
|
target_file.chmod(target_file.stat().st_mode | stat.S_IWUSR)
|
|
except Exception as e:
|
|
console.print(f"[yellow]⚠️ Could not make {target_file} writable: {e}[/yellow]")
|
|
|
|
cmd = ["nbdev_export", "--path", notebook_path_str]
|
|
console.print(f"[dim]⚙️ Running: nbdev_export --path {notebook_name}[/dim]")
|
|
|
|
result = subprocess.run(cmd, capture_output=True, text=True, cwd=Path.cwd())
|
|
if result.returncode == 0:
|
|
success_count += 1
|
|
console.print(f"✅ Exported: {notebook_name}")
|
|
if result.stdout.strip():
|
|
console.print(f"[dim]📝 {result.stdout.strip()}[/dim]")
|
|
else:
|
|
console.print(f"❌ Failed to export: {notebook_name}")
|
|
console.print(f" Return code: {result.returncode}")
|
|
if result.stderr.strip():
|
|
console.print(f" Error: {result.stderr.strip()}")
|
|
if result.stdout.strip():
|
|
console.print(f" Output: {result.stdout.strip()}")
|
|
except Exception as e:
|
|
console.print(f"❌ Error exporting {Path(notebook_path).name}: {e}")
|
|
|
|
if success_count == len(exported_notebooks):
|
|
logger.info("All notebooks exported successfully")
|
|
# ALWAYS add auto-generated warnings immediately after export
|
|
self._add_autogenerated_warnings(console)
|
|
|
|
# 🛡️ AUTOMATIC PROTECTION: Enable protection after export
|
|
self._auto_enable_protection(console)
|
|
|
|
console.print(Panel(f"[green]✅ Successfully exported {success_count}/{len(exported_notebooks)} modules to tinytorch package![/green]",
|
|
title="Export Success", border_style="green"))
|
|
return 0
|
|
else:
|
|
logger.warning(f"Exported {success_count}/{len(exported_notebooks)} modules. Some exports failed.")
|
|
console.print(Panel(f"[yellow]⚠️ Exported {success_count}/{len(exported_notebooks)} modules. Some exports failed.[/yellow]",
|
|
title="Partial Success", border_style="yellow"))
|
|
return 1
|
|
elif hasattr(args, 'all') and args.all:
|
|
logger.info("Exporting all modules")
|
|
console.print(Panel("🔄 Exporting All Modules to Package",
|
|
title="Complete Export Workflow", border_style="bright_cyan"))
|
|
|
|
# Step 1: Convert all .py files to .ipynb
|
|
console.print("📝 Converting all Python files to notebooks...")
|
|
converted = self._convert_all_modules()
|
|
if not converted:
|
|
logger.error("No modules converted. Check if jupytext is installed and .py files exist.")
|
|
console.print(Panel("[red]❌ No modules converted. Check if jupytext is installed and .py files exist.[/red]",
|
|
title="Conversion Error", border_style="red"))
|
|
return 1
|
|
|
|
console.print(f"✅ Converted {len(converted)} modules: {', '.join(converted)}")
|
|
console.print("🔄 Exporting all notebook code to tinytorch package...")
|
|
|
|
# Step 2: Use nbdev_export for all modules
|
|
cmd = ["nbdev_export"]
|
|
else:
|
|
logger.error("Must specify either module names or --all")
|
|
console.print(Panel("[red]❌ Must specify either module names or --all[/red]\n\n"
|
|
"[dim]Examples:[/dim]\n"
|
|
"[dim] tito module export 01_tensor[/dim]\n"
|
|
"[dim] tito module export 01_tensor 02_activations[/dim]\n"
|
|
"[dim] tito module export --all[/dim]",
|
|
title="Missing Arguments", border_style="red"))
|
|
return 1
|
|
|
|
try:
|
|
result = subprocess.run(cmd, capture_output=True, text=True, cwd=Path.cwd())
|
|
|
|
if result.returncode == 0:
|
|
logger.info("Export command completed successfully")
|
|
# ALWAYS add auto-generated warnings immediately after export
|
|
self._add_autogenerated_warnings(console)
|
|
|
|
# 🛡️ AUTOMATIC PROTECTION: Enable protection after export
|
|
self._auto_enable_protection(console)
|
|
|
|
console.print(Panel("[green]✅ Successfully exported notebook code to tinytorch package![/green]",
|
|
title="Export Success", border_style="green"))
|
|
|
|
# Show detailed export information
|
|
module_names = args.modules if hasattr(args, 'modules') and args.modules else None
|
|
if module_names and len(module_names) == 1:
|
|
self._show_export_details(console, module_names[0])
|
|
else:
|
|
self._show_export_details(console, None)
|
|
|
|
else:
|
|
logger.error(f"Export failed with return code {result.returncode}")
|
|
error_msg = result.stderr.strip() if result.stderr else "Unknown error"
|
|
console.print(Panel(f"[red]❌ Export failed:\n{error_msg}[/red]",
|
|
title="Export Error", border_style="red"))
|
|
|
|
# Helpful error guidance
|
|
help_text = Text()
|
|
help_text.append("💡 Common issues:\n", style="bold yellow")
|
|
help_text.append(" • Missing #| default_exp directive in notebook\n", style="white")
|
|
help_text.append(" • Syntax errors in exported code\n", style="white")
|
|
help_text.append(" • Missing settings.ini configuration\n", style="white")
|
|
help_text.append("\n🔧 Run 'tito system health' for detailed diagnosis", style="cyan")
|
|
|
|
console.print(Panel(help_text, title="Troubleshooting", border_style="yellow"))
|
|
|
|
return result.returncode
|
|
|
|
except FileNotFoundError:
|
|
logger.exception("nbdev not found. Install with: pip install nbdev")
|
|
return 1
|
|
except Exception as e:
|
|
logger.exception(f"Unexpected error during export: {e}")
|
|
return 1
|
|
|
|
def _auto_enable_protection(self, console):
|
|
"""🛡️ Automatically enable basic file protection after export.
|
|
|
|
NOTE: Auto-protection is disabled to prevent permission issues during development.
|
|
Students who want protection can run 'tito protect --enable' manually.
|
|
"""
|
|
# Disabled - causes permission errors on subsequent exports
|
|
# Students can manually enable protection with 'tito protect --enable'
|
|
pass |