Localize the web console and persist custom model and capability settings. Use OpenAI Responses exclusively and move runtime limits into environment configuration. Bootstrap uv and the virtual environment on Windows, support optional China mirrors, and package source distributions without environments, build output, or credentials. Update regression tests and repository quality checks for the new behavior.
119 lines
4.4 KiB
Python
119 lines
4.4 KiB
Python
# Copyright 2026 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Multi-source Cascading Configuration Engine."""
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import json
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from pathlib import Path
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import re
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from typing import Any
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from dotenv import load_dotenv
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from artemis.config.core.interpolator import interpolate_config_value
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from artemis.platform import platform
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from artemis.utils.logger import get_logger
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logger = get_logger(__name__)
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def _strip_json_comments(text: str) -> str:
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"""Strip // and /* */ comments from JSONC text while preserving string literals."""
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pattern = r'//.*?$|/\*.*?\*/|\'(?:\\.|[^\\\'])*\'|"(?:\\.|[^\\"])*"'
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def replacer(match: re.Match) -> str:
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s = match.group(0)
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if s.startswith("/"):
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return ""
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return s
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return re.sub(pattern, replacer, text, flags=re.DOTALL | re.MULTILINE)
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def _deep_merge(base: dict[str, Any], override: dict[str, Any]) -> dict[str, Any]:
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"""Recursively deep merge two dictionaries."""
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merged = base.copy()
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for key, value in override.items():
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if key in merged and isinstance(merged[key], dict) and isinstance(value, dict):
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merged[key] = _deep_merge(merged[key], value)
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else:
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merged[key] = value
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return merged
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class CascadingConfigEngine:
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"""Manages 5-tier configuration hierarchy with automatic cascade and interpolation."""
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def __init__(self, workspace_root: Path | None = None):
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self.workspace_root = workspace_root or Path.cwd()
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self._load_environment_files()
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def _load_environment_files(self) -> None:
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"""Load .env files from global config dir and workspace root."""
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# 1. Global user .env
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global_env = platform.paths.config_dir / ".env"
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if global_env.exists():
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load_dotenv(dotenv_path=global_env, override=False, encoding="utf-8")
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# 2. Legacy ~/.artemis/.env fallback
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legacy_env = platform.paths.data_dir / ".env"
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if legacy_env.exists() and legacy_env != global_env:
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load_dotenv(dotenv_path=legacy_env, override=False, encoding="utf-8")
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# 3. Workspace .env
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ws_env = self.workspace_root / ".env"
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if ws_env.exists():
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load_dotenv(dotenv_path=ws_env, override=False, encoding="utf-8")
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def load_raw_config(
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self,
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cli_overrides: dict[str, Any] | None = None,
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) -> dict[str, Any]:
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"""Load and merge all config layers into a unified dictionary."""
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config: dict[str, Any] = {}
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# Tier 1: Global user configuration ($CONFIG_DIR/artemis.jsonc)
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global_config_path = platform.paths.config_dir / "artemis.jsonc"
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if global_config_path.exists():
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try:
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raw_text = global_config_path.read_text(encoding="utf-8")
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cleaned = _strip_json_comments(raw_text)
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config = _deep_merge(config, json.loads(cleaned))
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except Exception as e:
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logger.warning(f"Failed to load global config {global_config_path}: {e}")
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# Tier 2: Workspace project configuration (config/artemis.jsonc)
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ws_config_path = self.workspace_root / "config" / "artemis.jsonc"
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if not ws_config_path.exists():
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ws_config_path = self.workspace_root / "artemis.jsonc"
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if ws_config_path.exists():
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try:
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raw_text = ws_config_path.read_text(encoding="utf-8")
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cleaned = _strip_json_comments(raw_text)
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config = _deep_merge(config, json.loads(cleaned))
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except Exception as e:
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logger.warning(f"Failed to load workspace config {ws_config_path}: {e}")
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# Tier 3: CLI overrides
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if cli_overrides:
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config = _deep_merge(config, cli_overrides)
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# Apply variable interpolation across merged dictionary
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interpolated = interpolate_config_value(config, workspace_root=self.workspace_root)
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return interpolated
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config_engine = CascadingConfigEngine()
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