47 lines
1.9 KiB
Python
47 lines
1.9 KiB
Python
"""Central configuration for blog-app.
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All values can be overridden via environment variables (BLOG_APP_* prefix,
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except SECRET_KEY which uses the conventional FLASK_SECRET_KEY).
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"""
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import os
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from pathlib import Path
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BASE_DIR = os.path.dirname(os.path.abspath(__file__))
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# NOTE: actual data lives at ~/opencode-blog-showcase/data (outside blog-app/).
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# The default below mirrors the pre-refactor behavior.
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DB_PATH = os.environ.get(
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"BLOG_APP_DB_PATH",
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os.path.expanduser("~/opencode-blog-showcase/data/projects.db"),
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)
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WATCHDOG_DB = os.environ.get(
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"BLOG_APP_WATCHDOG_DB",
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os.path.expanduser("~/opencode-blog-showcase/data/watchdog.db"),
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)
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WATCHDOG_SCRIPT = os.path.join(BASE_DIR, "scripts", "daily_watchdog.py")
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WATCHDOG_RUN_LOG = os.path.expanduser(
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"~/opencode-blog-showcase/logs/daily-watchdog-run.log"
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)
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LLM_URL = os.environ.get("BLOG_APP_LLM_URL", "http://127.0.0.1:4000/v1")
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LLM_MODEL = os.environ.get("BLOG_APP_LLM_MODEL", "default")
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LLM_TIMEOUT = int(os.environ.get("BLOG_APP_LLM_TIMEOUT", "300"))
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# LLM prompt trimming budgets, in characters (OPT-10). Shared by
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# services/analysis.py (_slim_for_llm) and scripts/daily_watchdog.py.
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# LLM_TOTAL_LIMIT: 12000 chars ≈ 3000 tokens, 留余量给 system prompt +
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# user question (典型 4k-8k context 模型). 单字段阈值控制 prefill 体积.
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LLM_BODY_LIMIT = int(os.environ.get("BLOG_APP_LLM_BODY_LIMIT", "500"))
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LLM_FIELD_LIMIT = int(os.environ.get("BLOG_APP_LLM_FIELD_LIMIT", "300"))
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LLM_MESSAGE_LIMIT = int(os.environ.get("BLOG_APP_LLM_MESSAGE_LIMIT", "200"))
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LLM_TOTAL_LIMIT = int(os.environ.get("BLOG_APP_LLM_TOTAL_LIMIT", "12000"))
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RATE_LIMIT_MAX = int(os.environ.get("BLOG_APP_RATE_LIMIT_MAX", "3"))
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RATE_LIMIT_WINDOW = int(os.environ.get("BLOG_APP_RATE_LIMIT_WINDOW", "60"))
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WATCHDOG_RUN_COOLDOWN = int(os.environ.get("BLOG_APP_WATCHDOG_COOLDOWN", "60"))
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SECRET_KEY = os.environ.get("FLASK_SECRET_KEY", "dev-watchdog-secret-change-me")
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