Space-Banane
678110d9e9
Multi-stage Dockerfile builds the React frontend then serves everything from a single Python container. settings.json persists via a named volume. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
75 lines
1.7 KiB
Python
75 lines
1.7 KiB
Python
import json
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import os
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import secrets
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from datetime import datetime, timezone
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from pathlib import Path
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SETTINGS_PATH = Path(os.environ.get("SETTINGS_PATH", Path(__file__).parent.parent / "settings.json"))
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def _now():
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return datetime.now(timezone.utc).isoformat().replace("+00:00", "Z")
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def _read():
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if not SETTINGS_PATH.exists():
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return {"openai_api_key": "", "presets": []}
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return json.loads(SETTINGS_PATH.read_text(encoding="utf-8"))
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def _write(data):
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tmp = SETTINGS_PATH.with_suffix(".tmp")
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tmp.write_text(json.dumps(data, indent=2), encoding="utf-8")
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tmp.replace(SETTINGS_PATH)
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def list_presets():
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return _read()["presets"]
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def create_preset(name, description, template, variables):
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data = _read()
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preset = {
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"id": secrets.token_hex(4),
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"name": name,
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"description": description,
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"template": template,
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"variables": variables,
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"created_at": _now(),
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"updated_at": _now(),
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}
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data["presets"].append(preset)
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_write(data)
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return preset
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def update_preset(preset_id, fields):
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data = _read()
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for p in data["presets"]:
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if p["id"] == preset_id:
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p.update(fields)
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p["updated_at"] = _now()
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_write(data)
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return p
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return None
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def delete_preset(preset_id):
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data = _read()
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before = len(data["presets"])
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data["presets"] = [p for p in data["presets"] if p["id"] != preset_id]
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if len(data["presets"]) == before:
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return False
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_write(data)
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return True
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def get_openai_key():
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return _read().get("openai_api_key", "")
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def set_openai_key(key: str):
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data = _read()
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data["openai_api_key"] = key
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_write(data)
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