48 lines
2.2 KiB
Python
48 lines
2.2 KiB
Python
"""
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Application configuration loaded from environment variables.
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"""
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import os
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CONTENT_DIR = os.environ.get('CONTENT_DIR', 'content')
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# Assets directory: derived from parent of CONTENT_DIR
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# E.g. CONTENT_DIR='content' → ASSETS_DIR='assets'
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# CONTENT_DIR='examples/content' → ASSETS_DIR='examples/assets'
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# CONTENT_DIR='/app/content' → ASSETS_DIR='/app/assets'
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ASSETS_DIR = os.path.join(os.path.dirname(CONTENT_DIR.rstrip(os.sep)), 'assets')
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# Cache varian ringan (WebP) untuk asset gambar raster.
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#
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# WAJIB di luar ASSETS_DIR — sibling, bukan `assets/.cache/`. Alasan:
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# `export_bundle` (routes/content_editor.py) men-zip SELURUH isi ASSETS_DIR
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# tanpa filter, jadi file cache di dalam ASSETS_DIR akan ikut ter-zip lalu
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# ter-import ulang sebagai asset biasa (menggandakan file & merusak bundel).
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# Dengan cache di luar, export 100% lossless — hanya original yang ikut.
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#
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# E.g. CONTENT_DIR='content' → CACHE_DIR='assets-cache'
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# CONTENT_DIR='/app/content' → CACHE_DIR='/app/assets-cache'
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CACHE_DIR = os.path.join(os.path.dirname(CONTENT_DIR.rstrip(os.sep)), 'assets-cache')
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# Dimensi maksimum (sisi terpanjang, px) untuk varian WebP yang di-generate.
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ASSET_VARIANT_MAX_DIM = int(os.environ.get('ASSET_VARIANT_MAX_DIM', '1600'))
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# Kualitas WebP (1-100).
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ASSET_VARIANT_QUALITY = int(os.environ.get('ASSET_VARIANT_QUALITY', '80'))
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# Cache-Control max-age untuk respons asset (detik).
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ASSET_CACHE_MAX_AGE = int(os.environ.get('ASSET_CACHE_MAX_AGE', '3600'))
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# ── Evaluation weights & done threshold ───────────────────────────
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# Bobot exercise (0-100) dan quiz (0-100) untuk composite score.
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LESSON_EXERCISE_WEIGHT = float(os.environ.get('LESSON_EXERCISE_WEIGHT', '70'))
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LESSON_QUIZ_WEIGHT = float(os.environ.get('LESSON_QUIZ_WEIGHT', '30'))
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# Ambang minimum composite score (0-100) untuk status lesson "done".
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LESSON_DONE_MIN_PERCENT = float(os.environ.get('LESSON_DONE_MIN_PERCENT', '75'))
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# Validasi: weights harus berjumlah 100
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_total_weight = LESSON_EXERCISE_WEIGHT + LESSON_QUIZ_WEIGHT
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if abs(_total_weight - 100.0) > 0.01:
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raise RuntimeError(
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f"LESSON_EXERCISE_WEIGHT + LESSON_QUIZ_WEIGHT must equal 100, got {_total_weight}"
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)
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