Translate

pwd

rm -rf temp/

python sandbox/manage.py makemessages --all

./scripts/py_clean_and_extract.py

ls temp/extracted/*.json | xargs -n 1 basename

ls temp/translated/*.json 2>/dev/null | xargs -n 1 basename || echo ""

📊 Translation Status:
   - Total batch files: X
   - Already translated: Y
   - Pending translation: Z

parallel_limit = parsed from arguments (default: 4)
pending_files = [list of pending batch files]
active_agents = []  # [(agent_id, filename), ...]
completed = []
failed = []

# Spawn all agents up to parallel limit
FOR each file in pending_files (up to parallel_limit):
    agent_id = Task(
        subagent_type: "translator",
        description: f"Translate {file}",
        run_in_background: true,
        prompt: f"""
Translate the Django message batch file: temp/extracted/{file}

Read the input file, translate ALL strings for ALL languages, and write to: temp/translated/{file}

Follow your translation guidelines for quality, placeholder preservation, and JSON formatting.
"""
    )

    active_agents.append((agent_id, file))
    Report: "⏳ Spawned translator for {file}"

# Report initial status
Report: "📊 Status: 0/{len(pending_files)} completed, {len(active_agents)} active, {len(pending_files) - len(active_agents)} pending"

# Monitor completion by checking temp/translated/
WHILE active_agents:
    Wait 10 seconds

    # Check which files now exist in temp/translated/
    completed_files_on_disk = list files in temp/translated/*.json (basenames only)

    # Find newly completed agents
    newly_completed = []
    FOR each (agent_id, file) in active_agents:
        IF file in completed_files_on_disk:
            completed.append(file)
            newly_completed.append(file)
            active_agents.remove((agent_id, file))

    # Report newly completed
    IF newly_completed:
        FOR each file in newly_completed:
            Report: "✅ Completed {file}"

    # Spawn next batch of agents if we have pending files
    files_to_spawn = pending_files[len(completed):]
    WHILE len(active_agents) < parallel_limit AND files_to_spawn:
        file = files_to_spawn.pop(0)

        agent_id = Task(
            subagent_type: "translator",
            description: f"Translate {file}",
            run_in_background: true,
            prompt: f"""
Translate the Django message batch file: temp/extracted/{file}

Read the input file, translate ALL strings for ALL languages, and write to: temp/translated/{file}

Follow your translation guidelines for quality, placeholder preservation, and JSON formatting.
"""
        )

        active_agents.append((agent_id, file))
        Report: "⏳ Spawned translator for {file}"

    # Progress report
    total = len(pending_files)
    Report: "📊 Progress: {len(completed)}/{total} completed, {len(active_agents)} active, {total - len(completed) - len(active_agents)} pending"
END WHILE

# Final verification
all_expected_files = pending_files
completed_files_on_disk = list files in temp/translated/*.json (basenames only)
failed = [file for file in all_expected_files if file not in completed_files_on_disk]

IF failed:
    Report: "❌ Failed to translate: {failed}"
    Report: "Run '/translate --resume' to retry failed files"
ELSE:
    Report: "✅ All {len(completed)} batch files translated successfully!"

./scripts/py_apply_translations.py

🎉 Translation Complete!
   ✅ Translated: X batch files
   ✅ Updated: Y languages
   ✅ Applied: Z strings