Mike Wichers
a324355cdf
Root cause: Consumer(huey, workers=1, worker_type='thread', loglevel=20) raised TypeError on every app start because Huey 2.6.0 does not accept a `loglevel` keyword argument. The exception was silently caught and only printed to stdout, so the consumer never ran and all tasks stayed 'queued' forever — causing the 'Preparing environment / Waiting for logs' hang. Fixes: - web/app.py: Remove invalid `loglevel=20` from Consumer(); configure Huey logging via logging.basicConfig(WARNING) instead. Add persistent error logging to data/consumer_error.log for future diagnosis. - core/config.py: Replace emoji print() calls with ASCII-safe equivalents to prevent UnicodeEncodeError on Windows cp1252 terminals at import time. - core/config.py: Update VERSION to 2.9 (was stale at 1.5.0). - ai_blueprint.md: Bump to v2.10, document root cause and fixes. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
69 lines
2.7 KiB
Python
69 lines
2.7 KiB
Python
import os
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from dotenv import load_dotenv
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# __file__ is core/config.py; app root is one level up
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_HERE = os.path.dirname(os.path.abspath(__file__))
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BASE_DIR = os.path.dirname(_HERE)
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# Ensure .env is loaded from the app root
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load_dotenv(os.path.join(BASE_DIR, ".env"))
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def get_clean_env(key, default=None):
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val = os.getenv(key, default)
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return val.strip() if val else None
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API_KEY = get_clean_env("GEMINI_API_KEY")
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GCP_PROJECT = get_clean_env("GCP_PROJECT")
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GCP_LOCATION = get_clean_env("GCP_LOCATION", "us-central1")
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MODEL_LOGIC_HINT = get_clean_env("MODEL_LOGIC", "AUTO")
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MODEL_WRITER_HINT = get_clean_env("MODEL_WRITER", "AUTO")
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MODEL_ARTIST_HINT = get_clean_env("MODEL_ARTIST", "AUTO")
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MODEL_IMAGE_HINT = get_clean_env("MODEL_IMAGE", "AUTO")
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DEFAULT_BLUEPRINT = "book_def.json"
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# --- SECURITY & ADMIN ---
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FLASK_SECRET = get_clean_env("FLASK_SECRET_KEY", "dev-secret-key-change-this")
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ADMIN_USER = get_clean_env("ADMIN_USERNAME")
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ADMIN_PASSWORD = get_clean_env("ADMIN_PASSWORD")
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if FLASK_SECRET == "dev-secret-key-change-this":
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print("WARNING: Using default FLASK_SECRET_KEY. This is insecure for production.")
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if not API_KEY: raise ValueError("CRITICAL ERROR: GEMINI_API_KEY not found in environment or .env file.")
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# --- DATA DIRECTORIES ---
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DATA_DIR = os.path.join(BASE_DIR, "data")
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PROJECTS_DIR = os.path.join(DATA_DIR, "projects")
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PERSONAS_DIR = os.path.join(DATA_DIR, "personas")
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PERSONAS_FILE = os.path.join(PERSONAS_DIR, "personas.json")
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FONTS_DIR = os.path.join(DATA_DIR, "fonts")
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# --- ENSURE DIRECTORIES EXIST ---
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for d in [DATA_DIR, PROJECTS_DIR, PERSONAS_DIR, FONTS_DIR]:
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if not os.path.exists(d): os.makedirs(d, exist_ok=True)
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# --- AUTHENTICATION ---
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GOOGLE_CREDS = os.getenv("GOOGLE_APPLICATION_CREDENTIALS")
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if GOOGLE_CREDS:
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if not os.path.isabs(GOOGLE_CREDS):
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GOOGLE_CREDS = os.path.join(BASE_DIR, GOOGLE_CREDS)
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if os.path.exists(GOOGLE_CREDS):
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os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = GOOGLE_CREDS
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else:
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print(f"Warning: GOOGLE_APPLICATION_CREDENTIALS file not found at: {GOOGLE_CREDS}")
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# --- DEFINITIONS ---
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LENGTH_DEFINITIONS = {
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"01": {"label": "Chapter Book", "words": "5,000 - 10,000", "chapters": 10, "depth": 1},
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"1": {"label": "Flash Fiction", "words": "500 - 1,500", "chapters": 1, "depth": 1},
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"2": {"label": "Short Story", "words": "5,000 - 10,000", "chapters": 5, "depth": 1},
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"2b": {"label": "Young Adult", "words": "50,000 - 70,000", "chapters": 25, "depth": 3},
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"3": {"label": "Novella", "words": "20,000 - 40,000", "chapters": 15, "depth": 2},
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"4": {"label": "Novel", "words": "60,000 - 80,000", "chapters": 30, "depth": 3},
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"5": {"label": "Epic", "words": "100,000+", "chapters": 50, "depth": 4}
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}
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# --- SYSTEM ---
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VERSION = "2.9"
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