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https://github.com/imartinez/privateGPT.git
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fix: prevent to ingest local files (by default) (#2010)
* feat: prevent to local ingestion (by default) and add white-list * docs: add local ingestion warning * docs: add missing comment * fix: update exception error * fix: black
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@ -8,6 +8,14 @@ The ingestion of documents can be done in different ways:
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## Bulk Local Ingestion
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You will need to activate `data.local_ingestion.enabled` in your setting file to use this feature. Additionally,
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it is probably a good idea to set `data.local_ingestion.allow_ingest_from` to specify which folders are allowed to be ingested.
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<Callout intent = "warning">
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Be careful enabling this feature in a production environment, as it can be a security risk, as it allows users to
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ingest any local file with permissions.
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</Callout>
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When you are running PrivateGPT in a fully local setup, you can ingest a complete folder for convenience (containing
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pdf, text files, etc.)
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and optionally watch changes on it with the command:
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@ -59,6 +59,27 @@ class AuthSettings(BaseModel):
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)
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class IngestionSettings(BaseModel):
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"""Ingestion configuration.
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This configuration is used to control the ingestion of data into the system
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using non-server methods. This is useful for local development and testing;
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or to ingest in bulk from a folder.
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Please note that this configuration is not secure and should be used in
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a controlled environment only (setting right permissions, etc.).
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"""
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enabled: bool = Field(
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description="Flag indicating if local ingestion is enabled or not.",
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default=False,
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)
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allow_ingest_from: list[str] = Field(
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description="A list of folders that should be permitted to make ingest requests.",
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default=[],
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)
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class ServerSettings(BaseModel):
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env_name: str = Field(
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description="Name of the environment (prod, staging, local...)"
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@ -74,6 +95,10 @@ class ServerSettings(BaseModel):
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class DataSettings(BaseModel):
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local_ingestion: IngestionSettings = Field(
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description="Ingestion configuration",
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default_factory=lambda: IngestionSettings(allow_ingest_from=["*"]),
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)
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local_data_folder: str = Field(
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description="Path to local storage."
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"It will be treated as an absolute path if it starts with /"
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@ -7,12 +7,13 @@ from pathlib import Path
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from private_gpt.di import global_injector
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from private_gpt.server.ingest.ingest_service import IngestService
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from private_gpt.server.ingest.ingest_watcher import IngestWatcher
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from private_gpt.settings.settings import Settings
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logger = logging.getLogger(__name__)
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class LocalIngestWorker:
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def __init__(self, ingest_service: IngestService) -> None:
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def __init__(self, ingest_service: IngestService, setting: Settings) -> None:
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self.ingest_service = ingest_service
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self.total_documents = 0
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@ -20,6 +21,24 @@ class LocalIngestWorker:
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self._files_under_root_folder: list[Path] = []
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self.is_local_ingestion_enabled = setting.data.local_ingestion.enabled
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self.allowed_local_folders = setting.data.local_ingestion.allow_ingest_from
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def _validate_folder(self, folder_path: Path) -> None:
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if not self.is_local_ingestion_enabled:
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raise ValueError(
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"Local ingestion is disabled."
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"You can enable it in settings `ingestion.enabled`"
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)
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# Allow all folders if wildcard is present
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if "*" in self.allowed_local_folders:
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return
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for allowed_folder in self.allowed_local_folders:
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if not folder_path.is_relative_to(allowed_folder):
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raise ValueError(f"Folder {folder_path} is not allowed for ingestion")
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def _find_all_files_in_folder(self, root_path: Path, ignored: list[str]) -> None:
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"""Search all files under the root folder recursively.
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@ -28,6 +47,7 @@ class LocalIngestWorker:
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for file_path in root_path.iterdir():
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if file_path.is_file() and file_path.name not in ignored:
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self.total_documents += 1
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self._validate_folder(file_path)
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self._files_under_root_folder.append(file_path)
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elif file_path.is_dir() and file_path.name not in ignored:
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self._find_all_files_in_folder(file_path, ignored)
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@ -92,13 +112,13 @@ if args.log_file:
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logger.addHandler(file_handler)
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if __name__ == "__main__":
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root_path = Path(args.folder)
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if not root_path.exists():
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raise ValueError(f"Path {args.folder} does not exist")
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ingest_service = global_injector.get(IngestService)
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worker = LocalIngestWorker(ingest_service)
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settings = global_injector.get(Settings)
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worker = LocalIngestWorker(ingest_service, settings)
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worker.ingest_folder(root_path, args.ignored)
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if args.ignored:
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@ -17,6 +17,9 @@ server:
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secret: "Basic c2VjcmV0OmtleQ=="
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data:
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local_ingestion:
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enabled: ${LOCAL_INGESTION_ENABLED:false}
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allow_ingest_from: ["*"]
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local_data_folder: local_data/private_gpt
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ui:
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74
tests/server/ingest/test_local_ingest.py
Normal file
74
tests/server/ingest/test_local_ingest.py
Normal file
@ -0,0 +1,74 @@
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import os
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import subprocess
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from pathlib import Path
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import pytest
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from fastapi.testclient import TestClient
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@pytest.fixture()
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def file_path() -> str:
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return "test.txt"
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def create_test_file(file_path: str) -> None:
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with open(file_path, "w") as f:
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f.write("test")
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def clear_log_file(log_file_path: str) -> None:
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if Path(log_file_path).exists():
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os.remove(log_file_path)
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def read_log_file(log_file_path: str) -> str:
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with open(log_file_path) as f:
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return f.read()
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def init_structure(folder: str, file_path: str) -> None:
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clear_log_file(file_path)
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os.makedirs(folder, exist_ok=True)
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create_test_file(f"{folder}/${file_path}")
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def test_ingest_one_file_in_allowed_folder(
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file_path: str, test_client: TestClient
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) -> None:
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allowed_folder = "local_data/tests/allowed_folder"
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init_structure(allowed_folder, file_path)
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test_env = os.environ.copy()
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test_env["PGPT_PROFILES"] = "test"
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test_env["LOCAL_INGESTION_ENABLED"] = "True"
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result = subprocess.run(
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["python", "scripts/ingest_folder.py", allowed_folder],
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capture_output=True,
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text=True,
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env=test_env,
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)
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assert result.returncode == 0, f"Script failed with error: {result.stderr}"
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response_after = test_client.get("/v1/ingest/list")
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count_ingest_after = len(response_after.json()["data"])
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assert count_ingest_after > 0, "No documents were ingested"
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def test_ingest_disabled(file_path: str) -> None:
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allowed_folder = "local_data/tests/allowed_folder"
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init_structure(allowed_folder, file_path)
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test_env = os.environ.copy()
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test_env["PGPT_PROFILES"] = "test"
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test_env["LOCAL_INGESTION_ENABLED"] = "False"
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result = subprocess.run(
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["python", "scripts/ingest_folder.py", allowed_folder],
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capture_output=True,
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text=True,
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env=test_env,
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)
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assert result.returncode != 0, f"Script failed with error: {result.stderr}"
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