mirror of
https://github.com/Sea-Haven-Industries/pr-reviewer.git
synced 2026-09-30 06:53:16 +00:00
Adam Moussa
46cd856fb3
A single-user local dashboard that pulls open PRs from the Sea-Haven-Industries org, reviews each with a Fireworks model in the BLOCK/FIX/NIT/QUESTION format, and posts the review to GitHub as the token owner. Runs only on localhost; secrets stay in a gitignored .env and never reach the browser. Structured as an app/ package plus a static/ frontend so the module imports and static mount resolve. HTTP uses httpx2 (the runtime lib starlette's TestClient now prefers), pinned in requirements.txt. Includes a stdlib-only pytest suite (network mocked, no extra test deps so CI needs only pytest) with a skip-by-default live Fireworks test, and CI wired to the org ci-python-app reusable workflow to lint app and tests and run the mocked suite fully offline. Dependabot covers pip and github-actions.
60 lines
2.2 KiB
Python
60 lines
2.2 KiB
Python
"""Configuration loaded from environment / .env.
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Secrets never reach the browser. The frontend talks only to this local
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backend; the backend holds the GitHub PAT and Fireworks key.
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"""
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import os
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from functools import lru_cache
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from dotenv import load_dotenv
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load_dotenv()
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class Config:
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# --- GitHub ---
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# Either provide GITHUB_TOKEN (a PAT) here, or leave it blank to fall
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# back to `gh auth token` from your local gh CLI (see github_client.py).
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GITHUB_TOKEN: str = os.getenv("GITHUB_TOKEN", "").strip()
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GITHUB_ORG: str = os.getenv("GITHUB_ORG", "Sea-Haven-Industries").strip()
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# The search filter that defines the review queue.
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PR_SEARCH_FILTER: str = os.getenv(
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"PR_SEARCH_FILTER",
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"is:pr state:open archived:false sort:updated-desc org:Sea-Haven-Industries",
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).strip()
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# Cap how many PRs we pull per refresh.
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MAX_PRS: int = int(os.getenv("MAX_PRS", "30"))
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# Skip diffs larger than this many bytes (keeps token cost sane).
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MAX_DIFF_BYTES: int = int(os.getenv("MAX_DIFF_BYTES", "120000"))
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# --- Fireworks (OpenAI-compatible endpoint) ---
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FIREWORKS_API_KEY: str = os.getenv("FIREWORKS_API_KEY", "").strip()
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FIREWORKS_BASE_URL: str = os.getenv(
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"FIREWORKS_BASE_URL", "https://api.fireworks.ai/inference/v1"
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).strip()
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# Swap this to any Fireworks model id you like. Coding-strong defaults:
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# accounts/fireworks/models/deepseek-v4-pro
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# accounts/fireworks/models/kimi-k2p6
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FIREWORKS_MODEL: str = os.getenv(
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"FIREWORKS_MODEL", "accounts/fireworks/models/deepseek-v4-pro"
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).strip()
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FIREWORKS_TEMPERATURE: float = float(os.getenv("FIREWORKS_TEMPERATURE", "0.2"))
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FIREWORKS_MAX_TOKENS: int = int(os.getenv("FIREWORKS_MAX_TOKENS", "4000"))
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# --- Review behavior ---
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# If a PR author's login is in this list (case-insensitive), the review
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# body will @-mention them. Handles the @openswe bot case.
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MENTION_AUTHORS: list[str] = [
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a.strip().lower()
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for a in os.getenv("MENTION_AUTHORS", "openswe").split(",")
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if a.strip()
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]
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HOST: str = os.getenv("HOST", "127.0.0.1")
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PORT: int = int(os.getenv("PORT", "8765"))
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@lru_cache
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def get_config() -> Config:
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return Config()
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