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from __future__ import annotations
from dataclasses import asdict, dataclass
from pathlib import Path
from typing import TypedDict, Unpack
from dotenv import load_dotenv
from loguru import logger
from pydantic import Field
from pydantic_settings import BaseSettings, SettingsConfigDict
from . import constants as cs
from . import exceptions as ex
from . import logs
from .types_defs import CgrignorePatterns, ModelConfigKwargs
from .utils.claude_settings import parse_custom_headers
load_dotenv()
class ApiKeyInfoEntry(TypedDict):
env_var: str
url: str
name: str
API_KEY_INFO: dict[str, ApiKeyInfoEntry] = {
cs.Provider.OPENAI: {
"env_var": "OPENAI_API_KEY",
"url": "https://platform.openai.com/api-keys",
"name": "OpenAI",
},
cs.Provider.ANTHROPIC: {
"env_var": "ANTHROPIC_API_KEY",
"url": "https://console.anthropic.com/settings/keys",
"name": "Anthropic",
},
cs.Provider.GOOGLE: {
"env_var": "GOOGLE_API_KEY",
"url": "https://console.cloud.google.com/apis/credentials",
"name": "Google AI",
},
cs.Provider.AZURE: {
"env_var": "AZURE_API_KEY",
"url": "https://portal.azure.com/",
"name": "Azure OpenAI",
},
cs.Provider.COHERE: {
"env_var": "COHERE_API_KEY",
"url": "https://dashboard.cohere.com/api-keys",
"name": "Cohere",
},
}
def format_missing_api_key_errors(
provider: str, role: str = cs.DEFAULT_MODEL_ROLE
) -> str:
provider_lower = provider.lower()
if provider_lower in API_KEY_INFO:
info = API_KEY_INFO[provider_lower]
env_var = info["env_var"]
url = info["url"]
name = info["name"]
else:
env_var = f"{provider.upper()}_API_KEY"
url = f"your {provider} provider's website"
name = provider.capitalize()
role_msg = f" for {role}" if role != cs.DEFAULT_MODEL_ROLE else ""
error_msg = f"""
─── API Key Missing ───────────────────────────────────────────────
Error: {env_var} environment variable is not set.
This is required to use {name}{role_msg}.
To fix this:
1. Get your API key from:
{url}
2. Set it in your environment:
export {env_var}='your-key-here'
Or add it to your .env file in the project root:
{env_var}=your-key-here
3. Alternatively, you can use a local model with Ollama:
(No API key required)
───────────────────────────────────────────────────────────────────
""".strip() # noqa: W293
return error_msg
@dataclass
class ModelConfig:
provider: str
model_id: str
api_key: str | None = None
endpoint: str | None = None
project_id: str | None = None
region: str | None = None
provider_type: str | None = None
thinking_budget: int | None = None
service_account_file: str | None = None
custom_headers: dict[str, str] | None = None
def to_update_kwargs(self) -> ModelConfigKwargs:
result = asdict(self)
del result[cs.FIELD_PROVIDER]
del result[cs.FIELD_MODEL_ID]
return ModelConfigKwargs(**result)
def validate_api_key(self, role: str = cs.DEFAULT_MODEL_ROLE) -> None:
local_providers = {cs.Provider.OLLAMA, cs.Provider.LOCAL, cs.Provider.VLLM}
if self.provider.lower() in local_providers:
return
if (
not self.api_key
or not self.api_key.strip()
or self.api_key == cs.DEFAULT_API_KEY
):
error_msg = format_missing_api_key_errors(self.provider, role)
raise ValueError(error_msg)
class AppConfig(BaseSettings):
"""
(H) All settings are loaded from environment variables or a .env file.
"""
model_config = SettingsConfigDict(
env_file=".env",
env_file_encoding="utf-8",
case_sensitive=False,
)
MEMGRAPH_HOST: str = "localhost"
MEMGRAPH_PORT: int = 7687
MEMGRAPH_HTTP_PORT: int = 7444
LAB_PORT: int = 3000
MEMGRAPH_BATCH_SIZE: int = 1000
AGENT_RETRIES: int = 3
ORCHESTRATOR_OUTPUT_RETRIES: int = 100
ORCHESTRATOR_PROVIDER: str = ""
ORCHESTRATOR_MODEL: str = ""
ORCHESTRATOR_API_KEY: str | None = None
ORCHESTRATOR_ENDPOINT: str | None = None
ORCHESTRATOR_PROJECT_ID: str | None = None
ORCHESTRATOR_REGION: str = cs.DEFAULT_REGION
ORCHESTRATOR_PROVIDER_TYPE: str | None = None
ORCHESTRATOR_THINKING_BUDGET: int | None = None
ORCHESTRATOR_SERVICE_ACCOUNT_FILE: str | None = None
ORCHESTRATOR_CUSTOM_HEADERS: str | None = None
CYPHER_PROVIDER: str = ""
CYPHER_MODEL: str = ""
CYPHER_API_KEY: str | None = None
CYPHER_ENDPOINT: str | None = None
CYPHER_PROJECT_ID: str | None = None
CYPHER_REGION: str = cs.DEFAULT_REGION
CYPHER_PROVIDER_TYPE: str | None = None
CYPHER_THINKING_BUDGET: int | None = None
CYPHER_SERVICE_ACCOUNT_FILE: str | None = None
CYPHER_CUSTOM_HEADERS: str | None = None
OLLAMA_BASE_URL: str = "http://localhost:11434"
@property
def ollama_endpoint(self) -> str:
return f"{self.OLLAMA_BASE_URL.rstrip('/')}/v1"
TARGET_REPO_PATH: str = "."
SHELL_COMMAND_TIMEOUT: int = 30
SHELL_COMMAND_ALLOWLIST: frozenset[str] = frozenset(
{
"ls",
"rg",
"cat",
"git",
"echo",
"pwd",
"pytest",
"mypy",
"ruff",
"uv",
"find",
"pre-commit",
"rm",
"cp",
"mv",
"mkdir",
"rmdir",
"wc",
"head",
"tail",
"sort",
"uniq",
"cut",
"tr",
"xargs",
"awk",
"sed",
"tee",
}
)
SHELL_READ_ONLY_COMMANDS: frozenset[str] = frozenset(
{
"ls",
"cat",
"find",
"pwd",
"rg",
"echo",
"wc",
"head",
"tail",
"sort",
"uniq",
"cut",
"tr",
}
)
SHELL_SAFE_GIT_SUBCOMMANDS: frozenset[str] = frozenset(
{
"status",
"log",
"diff",
"show",
"ls-files",
"remote",
"config",
"branch",
}
)
QDRANT_DB_PATH: str = "./.qdrant_code_embeddings"
QDRANT_COLLECTION_NAME: str = "code_embeddings"
QDRANT_VECTOR_DIM: int = 768
QDRANT_TOP_K: int = 5
EMBEDDING_MAX_LENGTH: int = 512
EMBEDDING_PROGRESS_INTERVAL: int = 10
CACHE_MAX_ENTRIES: int = 10000
CACHE_MAX_MEMORY_MB: int = 2000
CACHE_EVICTION_DIVISOR: int = 10
CACHE_MEMORY_THRESHOLD_RATIO: float = 0.8
OLLAMA_HEALTH_TIMEOUT: float = 5.0
_active_orchestrator: ModelConfig | None = None
_active_cypher: ModelConfig | None = None
QUIET: bool = Field(False, validation_alias="CGR_QUIET")
def _get_default_config(self, role: str) -> ModelConfig:
role_upper = role.upper()
provider = getattr(self, f"{role_upper}_PROVIDER", None)
model = getattr(self, f"{role_upper}_MODEL", None)
if provider and model:
custom_headers_str = getattr(self, f"{role_upper}_CUSTOM_HEADERS", None)
custom_headers = (
parse_custom_headers(custom_headers_str) if custom_headers_str else None
)
return ModelConfig(
provider=provider.lower(),
model_id=model,
api_key=getattr(self, f"{role_upper}_API_KEY", None),
endpoint=getattr(self, f"{role_upper}_ENDPOINT", None),
project_id=getattr(self, f"{role_upper}_PROJECT_ID", None),
region=getattr(self, f"{role_upper}_REGION", cs.DEFAULT_REGION),
provider_type=getattr(self, f"{role_upper}_PROVIDER_TYPE", None),
thinking_budget=getattr(self, f"{role_upper}_THINKING_BUDGET", None),
service_account_file=getattr(
self, f"{role_upper}_SERVICE_ACCOUNT_FILE", None
),
custom_headers=custom_headers,
)
return ModelConfig(
provider=cs.Provider.OLLAMA,
model_id=cs.DEFAULT_MODEL,
endpoint=self.ollama_endpoint,
api_key=cs.DEFAULT_API_KEY,
)
def _get_default_orchestrator_config(self) -> ModelConfig:
return self._get_default_config(cs.ModelRole.ORCHESTRATOR)
def _get_default_cypher_config(self) -> ModelConfig:
return self._get_default_config(cs.ModelRole.CYPHER)
@property
def active_orchestrator_config(self) -> ModelConfig:
return self._active_orchestrator or self._get_default_orchestrator_config()
@property
def active_cypher_config(self) -> ModelConfig:
return self._active_cypher or self._get_default_cypher_config()
def set_orchestrator(
self, provider: str, model: str, **kwargs: Unpack[ModelConfigKwargs]
) -> None:
config = ModelConfig(provider=provider.lower(), model_id=model, **kwargs)
self._active_orchestrator = config
def set_cypher(
self, provider: str, model: str, **kwargs: Unpack[ModelConfigKwargs]
) -> None:
config = ModelConfig(provider=provider.lower(), model_id=model, **kwargs)
self._active_cypher = config
def parse_model_string(self, model_string: str) -> tuple[str, str]:
if ":" not in model_string:
return cs.Provider.OLLAMA, model_string
provider, model = model_string.split(":", 1)
if not provider:
raise ValueError(ex.PROVIDER_EMPTY)
return provider.lower(), model
def resolve_batch_size(self, batch_size: int | None) -> int:
resolved = self.MEMGRAPH_BATCH_SIZE if batch_size is None else batch_size
if resolved < 1:
raise ValueError(ex.BATCH_SIZE_POSITIVE)
return resolved
settings = AppConfig()
CGRIGNORE_FILENAME = ".cgrignore"
EMPTY_CGRIGNORE = CgrignorePatterns(exclude=frozenset(), unignore=frozenset())
def load_cgrignore_patterns(repo_path: Path) -> CgrignorePatterns:
ignore_file = repo_path / CGRIGNORE_FILENAME
if not ignore_file.is_file():
return EMPTY_CGRIGNORE
exclude: set[str] = set()
unignore: set[str] = set()
try:
with ignore_file.open(encoding="utf-8") as f:
for line in f:
line = line.strip()
if not line or line.startswith("#"):
continue
if line.startswith("!"):
unignore.add(line[1:].strip())
else:
exclude.add(line)
if exclude or unignore:
logger.info(
logs.CGRIGNORE_LOADED.format(
exclude_count=len(exclude),
unignore_count=len(unignore),
path=ignore_file,
)
)
return CgrignorePatterns(
exclude=frozenset(exclude),
unignore=frozenset(unignore),
)
except OSError as e:
logger.warning(logs.CGRIGNORE_READ_FAILED.format(path=ignore_file, error=e))
return EMPTY_CGRIGNORE