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Author SHA1 Message Date
dependabot[bot]
37c672b891 chore(deps): bump actions/setup-python from 5 to 6
Bumps [actions/setup-python](https://github.com/actions/setup-python) from 5 to 6.
- [Release notes](https://github.com/actions/setup-python/releases)
- [Commits](https://github.com/actions/setup-python/compare/v5...v6)

---
updated-dependencies:
- dependency-name: actions/setup-python
  dependency-version: '6'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>
2025-09-04 20:22:48 +00:00
110 changed files with 1660 additions and 8722 deletions

View File

@@ -21,7 +21,7 @@ jobs:
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
uses: actions/setup-python@v6
with:
python-version: '3.12'
- name: Install dependencies

View File

@@ -10,7 +10,7 @@ jobs:
steps:
- uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
uses: actions/setup-python@v6
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies

33
.vscode/launch.json vendored
View File

@@ -2,11 +2,15 @@
"version": "0.2.0",
"configurations": [
{
"name": "Frontend Debug (npm)",
"type": "node-terminal",
"name": "Docker Debug Frontend",
"request": "launch",
"command": "npm run dev",
"cwd": "${workspaceFolder}/frontend"
"type": "chrome",
"preLaunchTask": "docker-compose: debug:frontend",
"url": "http://127.0.0.1:5173",
"webRoot": "${workspaceFolder}/frontend",
"skipFiles": [
"<node_internals>/**"
]
},
{
"name": "Flask Debugger",
@@ -45,27 +49,6 @@
"--pool=solo"
],
"cwd": "${workspaceFolder}"
},
{
"name": "Dev Containers (Mongo + Redis)",
"type": "node-terminal",
"request": "launch",
"command": "docker compose -f deployment/docker-compose-dev.yaml up --build",
"cwd": "${workspaceFolder}"
}
],
"compounds": [
{
"name": "DocsGPT: Full Stack",
"configurations": [
"Frontend Debug (npm)",
"Flask Debugger",
"Celery Debugger"
],
"presentation": {
"group": "DocsGPT",
"order": 1
}
}
]
}

21
.vscode/tasks.json vendored Normal file
View File

@@ -0,0 +1,21 @@
{
"version": "2.0.0",
"tasks": [
{
"type": "docker-compose",
"label": "docker-compose: debug:frontend",
"dockerCompose": {
"up": {
"detached": true,
"services": [
"frontend"
],
"build": true
},
"files": [
"${workspaceFolder}/docker-compose.yaml"
]
}
}
]
}

View File

@@ -55,11 +55,9 @@
- [x] Agent optimisations (May 2025)
- [x] Filesystem sources update (July 2025)
- [x] Json Responses (August 2025)
- [x] MCP support (August 2025)
- [x] Google Drive integration (September 2025)
- [ ] Add OAuth 2.0 authentication for MCP (September 2025)
- [ ] Sharepoint integration (October 2025)
- [ ] Deep Agents (October 2025)
- [ ] Sharepoint integration (August 2025)
- [ ] MCP support (August 2025)
- [ ] Add OAuth 2.0 authentication for tools and sources (August 2025)
- [ ] Agent scheduling
You can find our full roadmap [here](https://github.com/orgs/arc53/projects/2). Please don't hesitate to contribute or create issues, it helps us improve DocsGPT!

View File

@@ -149,7 +149,7 @@ class BaseAgent(ABC):
tool_call_data = {
"tool_name": "unknown",
"call_id": call_id,
"action_name": getattr(call, "name", "unknown"),
"action_name": getattr(call, 'name', 'unknown'),
"arguments": call_args or {},
"result": f"Failed to parse tool call. Invalid tool name format: {getattr(call, 'name', 'unknown')}",
}
@@ -225,7 +225,6 @@ class BaseAgent(ABC):
if tool_data["name"] == "api_tool"
else tool_data["config"]
),
user_id=self.user, # Pass user ID for MCP tools credential decryption
)
if tool_data["name"] == "api_tool":
print(
@@ -264,15 +263,7 @@ class BaseAgent(ABC):
query: str,
retrieved_data: List[Dict],
) -> List[Dict]:
docs_with_filenames = []
for doc in retrieved_data:
filename = doc.get("filename") or doc.get("title") or doc.get("source")
if filename:
chunk_header = str(filename)
docs_with_filenames.append(f"{chunk_header}\n{doc['text']}")
else:
docs_with_filenames.append(doc["text"])
docs_together = "\n\n".join(docs_with_filenames)
docs_together = "\n".join([doc["text"] for doc in retrieved_data])
p_chat_combine = system_prompt.replace("{summaries}", docs_together)
messages_combine = [{"role": "system", "content": p_chat_combine}]

View File

@@ -1,861 +0,0 @@
import asyncio
import base64
import json
import logging
import time
from typing import Any, Dict, List, Optional
from urllib.parse import parse_qs, urlparse
from application.agents.tools.base import Tool
from application.api.user.tasks import mcp_oauth_status_task, mcp_oauth_task
from application.cache import get_redis_instance
from application.core.mongo_db import MongoDB
from application.core.settings import settings
from application.security.encryption import decrypt_credentials
from fastmcp import Client
from fastmcp.client.auth import BearerAuth
from fastmcp.client.transports import (
SSETransport,
StdioTransport,
StreamableHttpTransport,
)
from mcp.client.auth import OAuthClientProvider, TokenStorage
from mcp.shared.auth import OAuthClientInformationFull, OAuthClientMetadata, OAuthToken
from pydantic import AnyHttpUrl, ValidationError
from redis import Redis
mongo = MongoDB.get_client()
db = mongo[settings.MONGO_DB_NAME]
_mcp_clients_cache = {}
class MCPTool(Tool):
"""
MCP Tool
Connect to remote Model Context Protocol (MCP) servers to access dynamic tools and resources. Supports various authentication methods and provides secure access to external services through the MCP protocol.
"""
def __init__(self, config: Dict[str, Any], user_id: Optional[str] = None):
"""
Initialize the MCP Tool with configuration.
Args:
config: Dictionary containing MCP server configuration:
- server_url: URL of the remote MCP server
- transport_type: Transport type (auto, sse, http, stdio)
- auth_type: Type of authentication (bearer, oauth, api_key, basic, none)
- encrypted_credentials: Encrypted credentials (if available)
- timeout: Request timeout in seconds (default: 30)
- headers: Custom headers for requests
- command: Command for STDIO transport
- args: Arguments for STDIO transport
- oauth_scopes: OAuth scopes for oauth auth type
- oauth_client_name: OAuth client name for oauth auth type
user_id: User ID for decrypting credentials (required if encrypted_credentials exist)
"""
self.config = config
self.user_id = user_id
self.server_url = config.get("server_url", "")
self.transport_type = config.get("transport_type", "auto")
self.auth_type = config.get("auth_type", "none")
self.timeout = config.get("timeout", 30)
self.custom_headers = config.get("headers", {})
self.auth_credentials = {}
if config.get("encrypted_credentials") and user_id:
self.auth_credentials = decrypt_credentials(
config["encrypted_credentials"], user_id
)
else:
self.auth_credentials = config.get("auth_credentials", {})
self.oauth_scopes = config.get("oauth_scopes", [])
self.oauth_task_id = config.get("oauth_task_id", None)
self.oauth_client_name = config.get("oauth_client_name", "DocsGPT-MCP")
self.redirect_uri = f"{settings.API_URL}/api/mcp_server/callback"
self.available_tools = []
self._cache_key = self._generate_cache_key()
self._client = None
# Only validate and setup if server_url is provided and not OAuth
if self.server_url and self.auth_type != "oauth":
self._setup_client()
def _generate_cache_key(self) -> str:
"""Generate a unique cache key for this MCP server configuration."""
auth_key = ""
if self.auth_type == "oauth":
scopes_str = ",".join(self.oauth_scopes) if self.oauth_scopes else "none"
auth_key = f"oauth:{self.oauth_client_name}:{scopes_str}"
elif self.auth_type in ["bearer"]:
token = self.auth_credentials.get(
"bearer_token", ""
) or self.auth_credentials.get("access_token", "")
auth_key = f"bearer:{token[:10]}..." if token else "bearer:none"
elif self.auth_type == "api_key":
api_key = self.auth_credentials.get("api_key", "")
auth_key = f"apikey:{api_key[:10]}..." if api_key else "apikey:none"
elif self.auth_type == "basic":
username = self.auth_credentials.get("username", "")
auth_key = f"basic:{username}"
else:
auth_key = "none"
return f"{self.server_url}#{self.transport_type}#{auth_key}"
def _setup_client(self):
"""Setup FastMCP client with proper transport and authentication."""
global _mcp_clients_cache
if self._cache_key in _mcp_clients_cache:
cached_data = _mcp_clients_cache[self._cache_key]
if time.time() - cached_data["created_at"] < 1800:
self._client = cached_data["client"]
return
else:
del _mcp_clients_cache[self._cache_key]
transport = self._create_transport()
auth = None
if self.auth_type == "oauth":
redis_client = get_redis_instance()
auth = DocsGPTOAuth(
mcp_url=self.server_url,
scopes=self.oauth_scopes,
redis_client=redis_client,
redirect_uri=self.redirect_uri,
task_id=self.oauth_task_id,
db=db,
user_id=self.user_id,
)
elif self.auth_type == "bearer":
token = self.auth_credentials.get(
"bearer_token", ""
) or self.auth_credentials.get("access_token", "")
if token:
auth = BearerAuth(token)
self._client = Client(transport, auth=auth)
_mcp_clients_cache[self._cache_key] = {
"client": self._client,
"created_at": time.time(),
}
def _create_transport(self):
"""Create appropriate transport based on configuration."""
headers = {"Content-Type": "application/json", "User-Agent": "DocsGPT-MCP/1.0"}
headers.update(self.custom_headers)
if self.auth_type == "api_key":
api_key = self.auth_credentials.get("api_key", "")
header_name = self.auth_credentials.get("api_key_header", "X-API-Key")
if api_key:
headers[header_name] = api_key
elif self.auth_type == "basic":
username = self.auth_credentials.get("username", "")
password = self.auth_credentials.get("password", "")
if username and password:
credentials = base64.b64encode(
f"{username}:{password}".encode()
).decode()
headers["Authorization"] = f"Basic {credentials}"
if self.transport_type == "auto":
if "sse" in self.server_url.lower() or self.server_url.endswith("/sse"):
transport_type = "sse"
else:
transport_type = "http"
else:
transport_type = self.transport_type
if transport_type == "sse":
headers.update({"Accept": "text/event-stream", "Cache-Control": "no-cache"})
return SSETransport(url=self.server_url, headers=headers)
elif transport_type == "http":
return StreamableHttpTransport(url=self.server_url, headers=headers)
elif transport_type == "stdio":
command = self.config.get("command", "python")
args = self.config.get("args", [])
env = self.auth_credentials if self.auth_credentials else None
return StdioTransport(command=command, args=args, env=env)
else:
return StreamableHttpTransport(url=self.server_url, headers=headers)
def _format_tools(self, tools_response) -> List[Dict]:
"""Format tools response to match expected format."""
if hasattr(tools_response, "tools"):
tools = tools_response.tools
elif isinstance(tools_response, list):
tools = tools_response
else:
tools = []
tools_dict = []
for tool in tools:
if hasattr(tool, "name"):
tool_dict = {
"name": tool.name,
"description": tool.description,
}
if hasattr(tool, "inputSchema"):
tool_dict["inputSchema"] = tool.inputSchema
tools_dict.append(tool_dict)
elif isinstance(tool, dict):
tools_dict.append(tool)
else:
if hasattr(tool, "model_dump"):
tools_dict.append(tool.model_dump())
else:
tools_dict.append({"name": str(tool), "description": ""})
return tools_dict
async def _execute_with_client(self, operation: str, *args, **kwargs):
"""Execute operation with FastMCP client."""
if not self._client:
raise Exception("FastMCP client not initialized")
async with self._client:
if operation == "ping":
return await self._client.ping()
elif operation == "list_tools":
tools_response = await self._client.list_tools()
self.available_tools = self._format_tools(tools_response)
return self.available_tools
elif operation == "call_tool":
tool_name = args[0]
tool_args = kwargs
return await self._client.call_tool(tool_name, tool_args)
elif operation == "list_resources":
return await self._client.list_resources()
elif operation == "list_prompts":
return await self._client.list_prompts()
else:
raise Exception(f"Unknown operation: {operation}")
def _run_async_operation(self, operation: str, *args, **kwargs):
"""Run async operation in sync context."""
try:
try:
loop = asyncio.get_running_loop()
import concurrent.futures
def run_in_thread():
new_loop = asyncio.new_event_loop()
asyncio.set_event_loop(new_loop)
try:
return new_loop.run_until_complete(
self._execute_with_client(operation, *args, **kwargs)
)
finally:
new_loop.close()
with concurrent.futures.ThreadPoolExecutor() as executor:
future = executor.submit(run_in_thread)
return future.result(timeout=self.timeout)
except RuntimeError:
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
try:
return loop.run_until_complete(
self._execute_with_client(operation, *args, **kwargs)
)
finally:
loop.close()
except Exception as e:
print(f"Error occurred while running async operation: {e}")
raise
def discover_tools(self) -> List[Dict]:
"""
Discover available tools from the MCP server using FastMCP.
Returns:
List of tool definitions from the server
"""
if not self.server_url:
return []
if not self._client:
self._setup_client()
try:
tools = self._run_async_operation("list_tools")
self.available_tools = tools
return self.available_tools
except Exception as e:
raise Exception(f"Failed to discover tools from MCP server: {str(e)}")
def execute_action(self, action_name: str, **kwargs) -> Any:
"""
Execute an action on the remote MCP server using FastMCP.
Args:
action_name: Name of the action to execute
**kwargs: Parameters for the action
Returns:
Result from the MCP server
"""
if not self.server_url:
raise Exception("No MCP server configured")
if not self._client:
self._setup_client()
cleaned_kwargs = {}
for key, value in kwargs.items():
if value == "" or value is None:
continue
cleaned_kwargs[key] = value
try:
result = self._run_async_operation(
"call_tool", action_name, **cleaned_kwargs
)
return self._format_result(result)
except Exception as e:
raise Exception(f"Failed to execute action '{action_name}': {str(e)}")
def _format_result(self, result) -> Dict:
"""Format FastMCP result to match expected format."""
if hasattr(result, "content"):
content_list = []
for content_item in result.content:
if hasattr(content_item, "text"):
content_list.append({"type": "text", "text": content_item.text})
elif hasattr(content_item, "data"):
content_list.append({"type": "data", "data": content_item.data})
else:
content_list.append(
{"type": "unknown", "content": str(content_item)}
)
return {
"content": content_list,
"isError": getattr(result, "isError", False),
}
else:
return result
def test_connection(self) -> Dict:
"""
Test the connection to the MCP server and validate functionality.
Returns:
Dictionary with connection test results including tool count
"""
if not self.server_url:
return {
"success": False,
"message": "No MCP server URL configured",
"tools_count": 0,
"transport_type": self.transport_type,
"auth_type": self.auth_type,
"error_type": "ConfigurationError",
}
if not self._client:
self._setup_client()
try:
if self.auth_type == "oauth":
return self._test_oauth_connection()
else:
return self._test_regular_connection()
except Exception as e:
return {
"success": False,
"message": f"Connection failed: {str(e)}",
"tools_count": 0,
"transport_type": self.transport_type,
"auth_type": self.auth_type,
"error_type": type(e).__name__,
}
def _test_regular_connection(self) -> Dict:
"""Test connection for non-OAuth auth types."""
try:
self._run_async_operation("ping")
ping_success = True
except Exception:
ping_success = False
tools = self.discover_tools()
message = f"Successfully connected to MCP server. Found {len(tools)} tools."
if not ping_success:
message += " (Ping not supported, but tool discovery worked)"
return {
"success": True,
"message": message,
"tools_count": len(tools),
"transport_type": self.transport_type,
"auth_type": self.auth_type,
"ping_supported": ping_success,
"tools": [tool.get("name", "unknown") for tool in tools],
}
def _test_oauth_connection(self) -> Dict:
"""Test connection for OAuth auth type with proper async handling."""
try:
task = mcp_oauth_task.delay(config=self.config, user=self.user_id)
if not task:
raise Exception("Failed to start OAuth authentication")
return {
"success": True,
"requires_oauth": True,
"task_id": task.id,
"status": "pending",
"message": "OAuth flow started",
}
except Exception as e:
return {
"success": False,
"message": f"OAuth connection failed: {str(e)}",
"tools_count": 0,
"transport_type": self.transport_type,
"auth_type": self.auth_type,
"error_type": type(e).__name__,
}
def get_actions_metadata(self) -> List[Dict]:
"""
Get metadata for all available actions.
Returns:
List of action metadata dictionaries
"""
actions = []
for tool in self.available_tools:
input_schema = (
tool.get("inputSchema")
or tool.get("input_schema")
or tool.get("schema")
or tool.get("parameters")
)
parameters_schema = {
"type": "object",
"properties": {},
"required": [],
}
if input_schema:
if isinstance(input_schema, dict):
if "properties" in input_schema:
parameters_schema = {
"type": input_schema.get("type", "object"),
"properties": input_schema.get("properties", {}),
"required": input_schema.get("required", []),
}
for key in ["additionalProperties", "description"]:
if key in input_schema:
parameters_schema[key] = input_schema[key]
else:
parameters_schema["properties"] = input_schema
action = {
"name": tool.get("name", ""),
"description": tool.get("description", ""),
"parameters": parameters_schema,
}
actions.append(action)
return actions
def get_config_requirements(self) -> Dict:
"""Get configuration requirements for the MCP tool."""
return {
"server_url": {
"type": "string",
"description": "URL of the remote MCP server (e.g., https://api.example.com/mcp or https://docs.mcp.cloudflare.com/sse)",
"required": True,
},
"transport_type": {
"type": "string",
"description": "Transport type for connection",
"enum": ["auto", "sse", "http", "stdio"],
"default": "auto",
"required": False,
"help": {
"auto": "Automatically detect best transport",
"sse": "Server-Sent Events (for real-time streaming)",
"http": "HTTP streaming (recommended for production)",
"stdio": "Standard I/O (for local servers)",
},
},
"auth_type": {
"type": "string",
"description": "Authentication type",
"enum": ["none", "bearer", "oauth", "api_key", "basic"],
"default": "none",
"required": True,
"help": {
"none": "No authentication",
"bearer": "Bearer token authentication",
"oauth": "OAuth 2.1 authentication (with frontend integration)",
"api_key": "API key authentication",
"basic": "Basic authentication",
},
},
"auth_credentials": {
"type": "object",
"description": "Authentication credentials (varies by auth_type)",
"required": False,
"properties": {
"bearer_token": {
"type": "string",
"description": "Bearer token for bearer auth",
},
"access_token": {
"type": "string",
"description": "Access token for OAuth (if pre-obtained)",
},
"api_key": {
"type": "string",
"description": "API key for api_key auth",
},
"api_key_header": {
"type": "string",
"description": "Header name for API key (default: X-API-Key)",
},
"username": {
"type": "string",
"description": "Username for basic auth",
},
"password": {
"type": "string",
"description": "Password for basic auth",
},
},
},
"oauth_scopes": {
"type": "array",
"description": "OAuth scopes to request (for oauth auth_type)",
"items": {"type": "string"},
"required": False,
"default": [],
},
"oauth_client_name": {
"type": "string",
"description": "Client name for OAuth registration (for oauth auth_type)",
"default": "DocsGPT-MCP",
"required": False,
},
"headers": {
"type": "object",
"description": "Custom headers to send with requests",
"required": False,
},
"timeout": {
"type": "integer",
"description": "Request timeout in seconds",
"default": 30,
"minimum": 1,
"maximum": 300,
"required": False,
},
"command": {
"type": "string",
"description": "Command to run for STDIO transport (e.g., 'python')",
"required": False,
},
"args": {
"type": "array",
"description": "Arguments for STDIO command",
"items": {"type": "string"},
"required": False,
},
}
class DocsGPTOAuth(OAuthClientProvider):
"""
Custom OAuth handler for DocsGPT that uses frontend redirect instead of browser.
"""
def __init__(
self,
mcp_url: str,
redirect_uri: str,
redis_client: Redis | None = None,
redis_prefix: str = "mcp_oauth:",
task_id: str = None,
scopes: str | list[str] | None = None,
client_name: str = "DocsGPT-MCP",
user_id=None,
db=None,
additional_client_metadata: dict[str, Any] | None = None,
):
"""
Initialize custom OAuth client provider for DocsGPT.
Args:
mcp_url: Full URL to the MCP endpoint
redirect_uri: Custom redirect URI for DocsGPT frontend
redis_client: Redis client for storing auth state
redis_prefix: Prefix for Redis keys
task_id: Task ID for tracking auth status
scopes: OAuth scopes to request
client_name: Name for this client during registration
user_id: User ID for token storage
db: Database instance for token storage
additional_client_metadata: Extra fields for OAuthClientMetadata
"""
self.redirect_uri = redirect_uri
self.redis_client = redis_client
self.redis_prefix = redis_prefix
self.task_id = task_id
self.user_id = user_id
self.db = db
parsed_url = urlparse(mcp_url)
self.server_base_url = f"{parsed_url.scheme}://{parsed_url.netloc}"
if isinstance(scopes, list):
scopes = " ".join(scopes)
client_metadata = OAuthClientMetadata(
client_name=client_name,
redirect_uris=[AnyHttpUrl(redirect_uri)],
grant_types=["authorization_code", "refresh_token"],
response_types=["code"],
scope=scopes,
**(additional_client_metadata or {}),
)
storage = DBTokenStorage(
server_url=self.server_base_url, user_id=self.user_id, db_client=self.db
)
super().__init__(
server_url=self.server_base_url,
client_metadata=client_metadata,
storage=storage,
redirect_handler=self.redirect_handler,
callback_handler=self.callback_handler,
)
self.auth_url = None
self.extracted_state = None
def _process_auth_url(self, authorization_url: str) -> tuple[str, str]:
"""Process authorization URL to extract state"""
try:
parsed_url = urlparse(authorization_url)
query_params = parse_qs(parsed_url.query)
state_params = query_params.get("state", [])
if state_params:
state = state_params[0]
else:
raise ValueError("No state in auth URL")
return authorization_url, state
except Exception as e:
raise Exception(f"Failed to process auth URL: {e}")
async def redirect_handler(self, authorization_url: str) -> None:
"""Store auth URL and state in Redis for frontend to use."""
auth_url, state = self._process_auth_url(authorization_url)
logging.info(
"[DocsGPTOAuth] Processed auth_url: %s, state: %s", auth_url, state
)
self.auth_url = auth_url
self.extracted_state = state
if self.redis_client and self.extracted_state:
key = f"{self.redis_prefix}auth_url:{self.extracted_state}"
self.redis_client.setex(key, 600, auth_url)
logging.info("[DocsGPTOAuth] Stored auth_url in Redis: %s", key)
if self.task_id:
status_key = f"mcp_oauth_status:{self.task_id}"
status_data = {
"status": "requires_redirect",
"message": "OAuth authorization required",
"authorization_url": self.auth_url,
"state": self.extracted_state,
"requires_oauth": True,
"task_id": self.task_id,
}
self.redis_client.setex(status_key, 600, json.dumps(status_data))
async def callback_handler(self) -> tuple[str, str | None]:
"""Wait for auth code from Redis using the state value."""
if not self.redis_client or not self.extracted_state:
raise Exception("Redis client or state not configured for OAuth")
poll_interval = 1
max_wait_time = 300
code_key = f"{self.redis_prefix}code:{self.extracted_state}"
if self.task_id:
status_key = f"mcp_oauth_status:{self.task_id}"
status_data = {
"status": "awaiting_callback",
"message": "Waiting for OAuth callback...",
"authorization_url": self.auth_url,
"state": self.extracted_state,
"requires_oauth": True,
"task_id": self.task_id,
}
self.redis_client.setex(status_key, 600, json.dumps(status_data))
start_time = time.time()
while time.time() - start_time < max_wait_time:
code_data = self.redis_client.get(code_key)
if code_data:
code = code_data.decode()
returned_state = self.extracted_state
self.redis_client.delete(code_key)
self.redis_client.delete(
f"{self.redis_prefix}auth_url:{self.extracted_state}"
)
self.redis_client.delete(
f"{self.redis_prefix}state:{self.extracted_state}"
)
if self.task_id:
status_data = {
"status": "callback_received",
"message": "OAuth callback received, completing authentication...",
"task_id": self.task_id,
}
self.redis_client.setex(status_key, 600, json.dumps(status_data))
return code, returned_state
error_key = f"{self.redis_prefix}error:{self.extracted_state}"
error_data = self.redis_client.get(error_key)
if error_data:
error_msg = error_data.decode()
self.redis_client.delete(error_key)
self.redis_client.delete(
f"{self.redis_prefix}auth_url:{self.extracted_state}"
)
self.redis_client.delete(
f"{self.redis_prefix}state:{self.extracted_state}"
)
raise Exception(f"OAuth error: {error_msg}")
await asyncio.sleep(poll_interval)
self.redis_client.delete(f"{self.redis_prefix}auth_url:{self.extracted_state}")
self.redis_client.delete(f"{self.redis_prefix}state:{self.extracted_state}")
raise Exception("OAuth callback timeout: no code received within 5 minutes")
class DBTokenStorage(TokenStorage):
def __init__(self, server_url: str, user_id: str, db_client):
self.server_url = server_url
self.user_id = user_id
self.db_client = db_client
self.collection = db_client["connector_sessions"]
@staticmethod
def get_base_url(url: str) -> str:
parsed = urlparse(url)
return f"{parsed.scheme}://{parsed.netloc}"
def get_db_key(self) -> dict:
return {
"server_url": self.get_base_url(self.server_url),
"user_id": self.user_id,
}
async def get_tokens(self) -> OAuthToken | None:
doc = await asyncio.to_thread(self.collection.find_one, self.get_db_key())
if not doc or "tokens" not in doc:
return None
try:
tokens = OAuthToken.model_validate(doc["tokens"])
return tokens
except ValidationError as e:
logging.error(f"Could not load tokens: {e}")
return None
async def set_tokens(self, tokens: OAuthToken) -> None:
await asyncio.to_thread(
self.collection.update_one,
self.get_db_key(),
{"$set": {"tokens": tokens.model_dump()}},
True,
)
logging.info(f"Saved tokens for {self.get_base_url(self.server_url)}")
async def get_client_info(self) -> OAuthClientInformationFull | None:
doc = await asyncio.to_thread(self.collection.find_one, self.get_db_key())
if not doc or "client_info" not in doc:
return None
try:
client_info = OAuthClientInformationFull.model_validate(doc["client_info"])
tokens = await self.get_tokens()
if tokens is None:
logging.debug(
"No tokens found, clearing client info to force fresh registration."
)
await asyncio.to_thread(
self.collection.update_one,
self.get_db_key(),
{"$unset": {"client_info": ""}},
)
return None
return client_info
except ValidationError as e:
logging.error(f"Could not load client info: {e}")
return None
def _serialize_client_info(self, info: dict) -> dict:
if "redirect_uris" in info and isinstance(info["redirect_uris"], list):
info["redirect_uris"] = [str(u) for u in info["redirect_uris"]]
return info
async def set_client_info(self, client_info: OAuthClientInformationFull) -> None:
serialized_info = self._serialize_client_info(client_info.model_dump())
await asyncio.to_thread(
self.collection.update_one,
self.get_db_key(),
{"$set": {"client_info": serialized_info}},
True,
)
logging.info(f"Saved client info for {self.get_base_url(self.server_url)}")
async def clear(self) -> None:
await asyncio.to_thread(self.collection.delete_one, self.get_db_key())
logging.info(f"Cleared OAuth cache for {self.get_base_url(self.server_url)}")
@classmethod
async def clear_all(cls, db_client) -> None:
collection = db_client["connector_sessions"]
await asyncio.to_thread(collection.delete_many, {})
logging.info("Cleared all OAuth client cache data.")
class MCPOAuthManager:
"""Manager for handling MCP OAuth callbacks."""
def __init__(self, redis_client: Redis | None, redis_prefix: str = "mcp_oauth:"):
self.redis_client = redis_client
self.redis_prefix = redis_prefix
def handle_oauth_callback(
self, state: str, code: str, error: Optional[str] = None
) -> bool:
"""
Handle OAuth callback from provider.
Args:
state: The state parameter from OAuth callback
code: The authorization code from OAuth callback
error: Error message if OAuth failed
Returns:
True if successful, False otherwise
"""
try:
if not self.redis_client or not state:
raise Exception("Redis client or state not provided")
if error:
error_key = f"{self.redis_prefix}error:{state}"
self.redis_client.setex(error_key, 300, error)
raise Exception(f"OAuth error received: {error}")
code_key = f"{self.redis_prefix}code:{state}"
self.redis_client.setex(code_key, 300, code)
state_key = f"{self.redis_prefix}state:{state}"
self.redis_client.setex(state_key, 300, "completed")
return True
except Exception as e:
logging.error(f"Error handling OAuth callback: {e}")
return False
def get_oauth_status(self, task_id: str) -> Dict[str, Any]:
"""Get current status of OAuth flow using provided task_id."""
if not task_id:
return {"status": "not_started", "message": "OAuth flow not started"}
return mcp_oauth_status_task(task_id)

View File

@@ -23,23 +23,16 @@ class ToolManager:
tool_config = self.config.get(name, {})
self.tools[name] = obj(tool_config)
def load_tool(self, tool_name, tool_config, user_id=None):
def load_tool(self, tool_name, tool_config):
self.config[tool_name] = tool_config
module = importlib.import_module(f"application.agents.tools.{tool_name}")
for member_name, obj in inspect.getmembers(module, inspect.isclass):
if issubclass(obj, Tool) and obj is not Tool:
if tool_name == "mcp_tool" and user_id:
return obj(tool_config, user_id)
else:
return obj(tool_config)
def execute_action(self, tool_name, action_name, user_id=None, **kwargs):
def execute_action(self, tool_name, action_name, **kwargs):
if tool_name not in self.tools:
raise ValueError(f"Tool '{tool_name}' not loaded")
if tool_name == "mcp_tool" and user_id:
tool_config = self.config.get(tool_name, {})
tool = self.load_tool(tool_name, tool_config, user_id)
return tool.execute_action(action_name, **kwargs)
return self.tools[tool_name].execute_action(action_name, **kwargs)
def get_all_actions_metadata(self):

View File

@@ -69,8 +69,11 @@ class StreamProcessor:
self.decoded_token.get("sub") if self.decoded_token is not None else None
)
self.conversation_id = self.data.get("conversation_id")
self.source = {}
self.all_sources = []
self.source = (
{"active_docs": self.data["active_docs"]}
if "active_docs" in self.data
else {}
)
self.attachments = []
self.history = []
self.agent_config = {}
@@ -82,8 +85,6 @@ class StreamProcessor:
def initialize(self):
"""Initialize all required components for processing"""
self._configure_agent()
self._configure_source()
self._configure_retriever()
self._configure_agent()
self._load_conversation_history()
@@ -170,77 +171,13 @@ class StreamProcessor:
source = data.get("source")
if isinstance(source, DBRef):
source_doc = self.db.dereference(source)
if source_doc:
data["source"] = str(source_doc["_id"])
data["retriever"] = source_doc.get("retriever", data.get("retriever"))
data["chunks"] = source_doc.get("chunks", data.get("chunks"))
else:
data["source"] = None
elif source == "default":
data["source"] = "default"
else:
data["source"] = None
# Handle multiple sources
sources = data.get("sources", [])
if sources and isinstance(sources, list):
sources_list = []
for i, source_ref in enumerate(sources):
if source_ref == "default":
processed_source = {
"id": "default",
"retriever": "classic",
"chunks": data.get("chunks", "2"),
}
sources_list.append(processed_source)
elif isinstance(source_ref, DBRef):
source_doc = self.db.dereference(source_ref)
if source_doc:
processed_source = {
"id": str(source_doc["_id"]),
"retriever": source_doc.get("retriever", "classic"),
"chunks": source_doc.get("chunks", data.get("chunks", "2")),
}
sources_list.append(processed_source)
data["sources"] = sources_list
else:
data["sources"] = []
return data
def _configure_source(self):
"""Configure the source based on agent data"""
api_key = self.data.get("api_key") or self.agent_key
if api_key:
agent_data = self._get_data_from_api_key(api_key)
if agent_data.get("sources") and len(agent_data["sources"]) > 0:
source_ids = [
source["id"] for source in agent_data["sources"] if source.get("id")
]
if source_ids:
self.source = {"active_docs": source_ids}
else:
self.source = {}
self.all_sources = agent_data["sources"]
elif agent_data.get("source"):
self.source = {"active_docs": agent_data["source"]}
self.all_sources = [
{
"id": agent_data["source"],
"retriever": agent_data.get("retriever", "classic"),
}
]
else:
self.source = {}
self.all_sources = []
return
if "active_docs" in self.data:
self.source = {"active_docs": self.data["active_docs"]}
return
self.source = {}
self.all_sources = []
def _configure_agent(self):
"""Configure the agent based on request data"""
agent_id = self.data.get("agent_id")
@@ -266,13 +203,7 @@ class StreamProcessor:
if data_key.get("retriever"):
self.retriever_config["retriever_name"] = data_key["retriever"]
if data_key.get("chunks") is not None:
try:
self.retriever_config["chunks"] = int(data_key["chunks"])
except (ValueError, TypeError):
logger.warning(
f"Invalid chunks value: {data_key['chunks']}, using default value 2"
)
self.retriever_config["chunks"] = 2
self.retriever_config["chunks"] = data_key["chunks"]
elif self.agent_key:
data_key = self._get_data_from_api_key(self.agent_key)
self.agent_config.update(
@@ -293,13 +224,7 @@ class StreamProcessor:
if data_key.get("retriever"):
self.retriever_config["retriever_name"] = data_key["retriever"]
if data_key.get("chunks") is not None:
try:
self.retriever_config["chunks"] = int(data_key["chunks"])
except (ValueError, TypeError):
logger.warning(
f"Invalid chunks value: {data_key['chunks']}, using default value 2"
)
self.retriever_config["chunks"] = 2
self.retriever_config["chunks"] = data_key["chunks"]
else:
self.agent_config.update(
{
@@ -318,8 +243,7 @@ class StreamProcessor:
"token_limit": self.data.get("token_limit", settings.DEFAULT_MAX_HISTORY),
}
api_key = self.data.get("api_key") or self.agent_key
if not api_key and "isNoneDoc" in self.data and self.data["isNoneDoc"]:
if "isNoneDoc" in self.data and self.data["isNoneDoc"]:
self.retriever_config["chunks"] = 0
def create_agent(self):

View File

@@ -1,7 +1,6 @@
import base64
import datetime
import json
import uuid
import logging
from bson.objectid import ObjectId
@@ -15,6 +14,8 @@ from flask import (
from flask_restx import fields, Namespace, Resource
from application.api.user.tasks import (
ingest_connector_task,
)
@@ -172,7 +173,7 @@ class ConnectorSources(Resource):
return make_response(jsonify({"success": False}), 401)
user = decoded_token.get("sub")
try:
sources = sources_collection.find({"user": user, "type": "connector:file"}).sort("date", -1)
sources = sources_collection.find({"user": user, "type": "connector"}).sort("date", -1)
connector_sources = []
for source in sources:
connector_sources.append({
@@ -234,24 +235,8 @@ class ConnectorAuth(Resource):
if not ConnectorCreator.is_supported(provider):
return make_response(jsonify({"success": False, "error": f"Unsupported provider: {provider}"}), 400)
decoded_token = request.decoded_token
if not decoded_token:
return make_response(jsonify({"success": False, "error": "Unauthorized"}), 401)
user_id = decoded_token.get('sub')
now = datetime.datetime.now(datetime.timezone.utc)
result = sessions_collection.insert_one({
"provider": provider,
"user": user_id,
"status": "pending",
"created_at": now
})
state_dict = {
"provider": provider,
"object_id": str(result.inserted_id)
}
state = base64.urlsafe_b64encode(json.dumps(state_dict).encode()).decode()
import uuid
state = str(uuid.uuid4())
auth = ConnectorCreator.create_auth(provider)
authorization_url = auth.get_authorization_url(state=state)
return make_response(jsonify({
@@ -272,24 +257,18 @@ class ConnectorsCallback(Resource):
try:
from application.parser.connectors.connector_creator import ConnectorCreator
from flask import request, redirect
import uuid
provider = request.args.get('provider', 'google_drive')
authorization_code = request.args.get('code')
state = request.args.get('state')
_ = request.args.get('state')
error = request.args.get('error')
state_dict = json.loads(base64.urlsafe_b64decode(state.encode()).decode())
provider = state_dict["provider"]
state_object_id = state_dict["object_id"]
if error:
if error == "access_denied":
return redirect(f"/api/connectors/callback-status?status=cancelled&message=Authentication+was+cancelled.+You+can+try+again+if+you'd+like+to+connect+your+account.&provider={provider}")
else:
current_app.logger.warning(f"OAuth error in callback: {error}")
return redirect(f"/api/connectors/callback-status?status=error&message=Authentication+failed.+Please+try+again+and+make+sure+to+grant+all+requested+permissions.&provider={provider}")
return redirect(f"/api/connectors/callback-status?status=error&message=OAuth+error:+{error}.+Please+try+again+and+make+sure+to+grant+all+requested+permissions,+including+offline+access.&provider={provider}")
if not authorization_code:
return redirect(f"/api/connectors/callback-status?status=error&message=Authentication+failed.+Please+try+again+and+make+sure+to+grant+all+requested+permissions.&provider={provider}")
return redirect(f"/api/connectors/callback-status?status=error&message=Authorization+code+not+provided.+Please+complete+the+authorization+process+and+make+sure+to+grant+offline+access.&provider={provider}")
try:
auth = ConnectorCreator.create_auth(provider)
@@ -297,6 +276,7 @@ class ConnectorsCallback(Resource):
session_token = str(uuid.uuid4())
try:
credentials = auth.create_credentials_from_token_info(token_info)
service = auth.build_drive_service(credentials)
@@ -310,31 +290,30 @@ class ConnectorsCallback(Resource):
"access_token": token_info.get("access_token"),
"refresh_token": token_info.get("refresh_token"),
"token_uri": token_info.get("token_uri"),
"expiry": token_info.get("expiry")
"expiry": token_info.get("expiry"),
"scopes": token_info.get("scopes")
}
sessions_collection.find_one_and_update(
{"_id": ObjectId(state_object_id), "provider": provider},
{
"$set": {
user_id = request.decoded_token.get("sub") if getattr(request, "decoded_token", None) else None
sessions_collection.insert_one({
"session_token": session_token,
"user": user_id,
"token_info": sanitized_token_info,
"created_at": datetime.datetime.now(datetime.timezone.utc),
"user_email": user_email,
"status": "authorized"
}
}
)
"provider": provider
})
# Redirect to success page with session token and user email
return redirect(f"/api/connectors/callback-status?status=success&message=Authentication+successful&provider={provider}&session_token={session_token}&user_email={user_email}")
except Exception as e:
current_app.logger.error(f"Error exchanging code for tokens: {str(e)}", exc_info=True)
return redirect(f"/api/connectors/callback-status?status=error&message=Authentication+failed.+Please+try+again+and+make+sure+to+grant+all+requested+permissions.&provider={provider}")
return redirect(f"/api/connectors/callback-status?status=error&message=Failed+to+exchange+authorization+code+for+tokens:+{str(e)}&provider={provider}")
except Exception as e:
current_app.logger.error(f"Error handling connector callback: {e}")
return redirect("/api/connectors/callback-status?status=error&message=Authentication+failed.+Please+try+again+and+make+sure+to+grant+all+requested+permissions.")
return redirect(f"/api/connectors/callback-status?status=error&message=Failed+to+complete+connector+authentication:+{str(e)}.+Please+try+again+and+make+sure+to+grant+all+requested+permissions,+including+offline+access.")
@connectors_ns.route("/api/connectors/refresh")
@@ -360,15 +339,8 @@ class ConnectorRefresh(Resource):
@connectors_ns.route("/api/connectors/files")
class ConnectorFiles(Resource):
@api.expect(api.model("ConnectorFilesModel", {
"provider": fields.String(required=True),
"session_token": fields.String(required=True),
"folder_id": fields.String(required=False),
"limit": fields.Integer(required=False),
"page_token": fields.String(required=False),
"search_query": fields.String(required=False)
}))
@api.doc(description="List files from a connector provider (supports pagination and search)")
@api.expect(api.model("ConnectorFilesModel", {"provider": fields.String(required=True), "session_token": fields.String(required=True), "folder_id": fields.String(required=False), "limit": fields.Integer(required=False), "page_token": fields.String(required=False)}))
@api.doc(description="List files from a connector provider (supports pagination)")
def post(self):
try:
data = request.get_json()
@@ -377,11 +349,10 @@ class ConnectorFiles(Resource):
folder_id = data.get('folder_id')
limit = data.get('limit', 10)
page_token = data.get('page_token')
search_query = data.get('search_query')
if not provider or not session_token:
return make_response(jsonify({"success": False, "error": "provider and session_token are required"}), 400)
decoded_token = request.decoded_token
if not decoded_token:
return make_response(jsonify({"success": False, "error": "Unauthorized"}), 401)
@@ -391,17 +362,13 @@ class ConnectorFiles(Resource):
return make_response(jsonify({"success": False, "error": "Invalid or unauthorized session"}), 401)
loader = ConnectorCreator.create_connector(provider, session_token)
input_config = {
documents = loader.load_data({
'limit': limit,
'list_only': True,
'session_token': session_token,
'folder_id': folder_id,
'page_token': page_token
}
if search_query:
input_config['search_query'] = search_query
documents = loader.load_data(input_config)
})
files = []
for doc in documents[:limit]:
@@ -419,20 +386,13 @@ class ConnectorFiles(Resource):
'name': metadata.get('file_name', 'Unknown File'),
'type': metadata.get('mime_type', 'unknown'),
'size': metadata.get('size', None),
'modifiedTime': formatted_time,
'isFolder': metadata.get('is_folder', False)
'modifiedTime': formatted_time
})
next_token = getattr(loader, 'next_page_token', None)
has_more = bool(next_token)
return make_response(jsonify({
"success": True,
"files": files,
"total": len(files),
"next_page_token": next_token,
"has_more": has_more
}), 200)
return make_response(jsonify({"success": True, "files": files, "total": len(files), "next_page_token": next_token, "has_more": has_more}), 200)
except Exception as e:
current_app.logger.error(f"Error loading connector files: {e}")
return make_response(jsonify({"success": False, "error": f"Failed to load files: {str(e)}"}), 500)
@@ -441,7 +401,7 @@ class ConnectorFiles(Resource):
@connectors_ns.route("/api/connectors/validate-session")
class ConnectorValidateSession(Resource):
@api.expect(api.model("ConnectorValidateSessionModel", {"provider": fields.String(required=True), "session_token": fields.String(required=True)}))
@api.doc(description="Validate connector session token and return user info and access token")
@api.doc(description="Validate connector session token and return user info")
def post(self):
try:
data = request.get_json()
@@ -450,6 +410,7 @@ class ConnectorValidateSession(Resource):
if not provider or not session_token:
return make_response(jsonify({"success": False, "error": "provider and session_token are required"}), 400)
decoded_token = request.decoded_token
if not decoded_token:
return make_response(jsonify({"success": False, "error": "Unauthorized"}), 401)
@@ -463,36 +424,10 @@ class ConnectorValidateSession(Resource):
auth = ConnectorCreator.create_auth(provider)
is_expired = auth.is_token_expired(token_info)
if is_expired and token_info.get('refresh_token'):
try:
refreshed_token_info = auth.refresh_access_token(token_info.get('refresh_token'))
sanitized_token_info = {
"access_token": refreshed_token_info.get("access_token"),
"refresh_token": refreshed_token_info.get("refresh_token"),
"token_uri": refreshed_token_info.get("token_uri"),
"expiry": refreshed_token_info.get("expiry")
}
sessions_collection.update_one(
{"session_token": session_token},
{"$set": {"token_info": sanitized_token_info}}
)
token_info = sanitized_token_info
is_expired = False
except Exception as refresh_error:
current_app.logger.error(f"Failed to refresh token: {refresh_error}")
if is_expired:
return make_response(jsonify({
"success": False,
"expired": True,
"error": "Session token has expired. Please reconnect."
}), 401)
return make_response(jsonify({
"success": True,
"expired": False,
"user_email": session.get('user_email', 'Connected User'),
"access_token": token_info.get('access_token')
"expired": is_expired,
"user_email": session.get('user_email', 'Connected User')
}), 200)
except Exception as e:
current_app.logger.error(f"Error validating connector session: {e}")
@@ -652,7 +587,6 @@ class ConnectorCallbackStatus(Resource):
.container {{ max-width: 600px; margin: 0 auto; }}
.success {{ color: #4CAF50; }}
.error {{ color: #F44336; }}
.cancelled {{ color: #FF9800; }}
</style>
<script>
window.onload = function() {{
@@ -667,8 +601,6 @@ class ConnectorCallbackStatus(Resource):
user_email: userEmail
}}, '*');
setTimeout(() => window.close(), 3000);
}} else if (status === "cancelled" || status === "error") {{
setTimeout(() => window.close(), 3000);
}}
}};
@@ -681,7 +613,7 @@ class ConnectorCallbackStatus(Resource):
<p>{message}</p>
{f'<p>Connected as: {user_email}</p>' if status == 'success' else ''}
</div>
<p><small>You can close this window. {f"Your {provider.replace('_', ' ').title()} is now connected and ready to use." if status == 'success' else "Feel free to close this window."}</small></p>
<p><small>You can close this window. {f"Your {provider.replace('_', ' ').title()} is now connected and ready to use." if status == 'success' else ''}</small></p>
</div>
</body>
</html>

File diff suppressed because it is too large Load Diff

View File

@@ -5,8 +5,6 @@ from application.worker import (
agent_webhook_worker,
attachment_worker,
ingest_worker,
mcp_oauth,
mcp_oauth_status,
remote_worker,
sync_worker,
)
@@ -27,7 +25,6 @@ def ingest_remote(self, source_data, job_name, user, loader):
@celery.task(bind=True)
def reingest_source_task(self, source_id, user):
from application.worker import reingest_source_worker
resp = reingest_source_worker(self, source_id, user)
return resp
@@ -63,10 +60,9 @@ def ingest_connector_task(
retriever="classic",
operation_mode="upload",
doc_id=None,
sync_frequency="never",
sync_frequency="never"
):
from application.worker import ingest_connector
resp = ingest_connector(
self,
job_name,
@@ -79,7 +75,7 @@ def ingest_connector_task(
retriever=retriever,
operation_mode=operation_mode,
doc_id=doc_id,
sync_frequency=sync_frequency,
sync_frequency=sync_frequency
)
return resp
@@ -98,15 +94,3 @@ def setup_periodic_tasks(sender, **kwargs):
timedelta(days=30),
schedule_syncs.s("monthly"),
)
@celery.task(bind=True)
def mcp_oauth_task(self, config, user):
resp = mcp_oauth(self, config, user)
return resp
@celery.task(bind=True)
def mcp_oauth_status_task(self, task_id):
resp = mcp_oauth_status(self, task_id)
return resp

View File

@@ -26,7 +26,7 @@ class Settings(BaseSettings):
"gpt-4o-mini": 128000,
"gpt-3.5-turbo": 4096,
"claude-2": 1e5,
"gemini-2.5-flash": 1e6,
"gemini-2.0-flash-exp": 1e6,
}
UPLOAD_FOLDER: str = "inputs"
PARSE_PDF_AS_IMAGE: bool = False
@@ -43,7 +43,8 @@ class Settings(BaseSettings):
# Google Drive integration
GOOGLE_CLIENT_ID: Optional[str] = None # Replace with your actual Google OAuth client ID
GOOGLE_CLIENT_SECRET: Optional[str] = None# Replace with your actual Google OAuth client secret
CONNECTOR_REDIRECT_BASE_URI: Optional[str] = "http://127.0.0.1:7091/api/connectors/callback" ##add redirect url as it is to your provider's console(gcp)
CONNECTOR_REDIRECT_BASE_URI: Optional[str] = "http://127.0.0.1:7091/api/connectors/callback"
##append ?provider={provider_name} in your Provider console like http://127.0.0.1:7091/api/connectors/callback?provider=google_drive
# LLM Cache
@@ -115,9 +116,6 @@ class Settings(BaseSettings):
JWT_SECRET_KEY: str = ""
# Encryption settings
ENCRYPTION_SECRET_KEY: str = "default-docsgpt-encryption-key"
path = Path(__file__).parent.parent.absolute()
settings = Settings(_env_file=path.joinpath(".env"), _env_file_encoding="utf-8")

View File

@@ -143,7 +143,6 @@ class GoogleLLM(BaseLLM):
raise
def _clean_messages_google(self, messages):
"""Convert OpenAI format messages to Google AI format."""
cleaned_messages = []
for message in messages:
role = message.get("role")
@@ -151,8 +150,6 @@ class GoogleLLM(BaseLLM):
if role == "assistant":
role = "model"
elif role == "tool":
role = "model"
parts = []
if role and content is not None:
@@ -191,63 +188,11 @@ class GoogleLLM(BaseLLM):
else:
raise ValueError(f"Unexpected content type: {type(content)}")
if parts:
cleaned_messages.append(types.Content(role=role, parts=parts))
return cleaned_messages
def _clean_schema(self, schema_obj):
"""
Recursively remove unsupported fields from schema objects
and validate required properties.
"""
if not isinstance(schema_obj, dict):
return schema_obj
allowed_fields = {
"type",
"description",
"items",
"properties",
"required",
"enum",
"pattern",
"minimum",
"maximum",
"nullable",
"default",
}
cleaned = {}
for key, value in schema_obj.items():
if key not in allowed_fields:
continue
elif key == "type" and isinstance(value, str):
cleaned[key] = value.upper()
elif isinstance(value, dict):
cleaned[key] = self._clean_schema(value)
elif isinstance(value, list):
cleaned[key] = [self._clean_schema(item) for item in value]
else:
cleaned[key] = value
# Validate that required properties actually exist in properties
if "required" in cleaned and "properties" in cleaned:
valid_required = []
properties_keys = set(cleaned["properties"].keys())
for required_prop in cleaned["required"]:
if required_prop in properties_keys:
valid_required.append(required_prop)
if valid_required:
cleaned["required"] = valid_required
else:
cleaned.pop("required", None)
elif "required" in cleaned and "properties" not in cleaned:
cleaned.pop("required", None)
return cleaned
def _clean_tools_format(self, tools_list):
"""Convert OpenAI format tools to Google AI format."""
genai_tools = []
for tool_data in tools_list:
if tool_data["type"] == "function":
@@ -256,16 +201,18 @@ class GoogleLLM(BaseLLM):
properties = parameters.get("properties", {})
if properties:
cleaned_properties = {}
for k, v in properties.items():
cleaned_properties[k] = self._clean_schema(v)
genai_function = dict(
name=function["name"],
description=function["description"],
parameters={
"type": "OBJECT",
"properties": cleaned_properties,
"properties": {
k: {
**v,
"type": v["type"].upper() if v["type"] else None,
}
for k, v in properties.items()
},
"required": (
parameters["required"]
if "required" in parameters
@@ -295,7 +242,6 @@ class GoogleLLM(BaseLLM):
response_schema=None,
**kwargs,
):
"""Generate content using Google AI API without streaming."""
client = genai.Client(api_key=self.api_key)
if formatting == "openai":
messages = self._clean_messages_google(messages)
@@ -335,7 +281,6 @@ class GoogleLLM(BaseLLM):
response_schema=None,
**kwargs,
):
"""Generate content using Google AI API with streaming."""
client = genai.Client(api_key=self.api_key)
if formatting == "openai":
messages = self._clean_messages_google(messages)
@@ -386,15 +331,12 @@ class GoogleLLM(BaseLLM):
yield chunk.text
def _supports_tools(self):
"""Return whether this LLM supports function calling."""
return True
def _supports_structured_output(self):
"""Return whether this LLM supports structured JSON output."""
return True
def prepare_structured_output_format(self, json_schema):
"""Convert JSON schema to Google AI structured output format."""
if not json_schema:
return None

View File

@@ -205,6 +205,7 @@ class LLMHandler(ABC):
except StopIteration as e:
tool_response, call_id = e.value
break
updated_messages.append(
{
"role": "assistant",
@@ -221,36 +222,17 @@ class LLMHandler(ABC):
)
updated_messages.append(self.create_tool_message(call, tool_response))
except Exception as e:
logger.error(f"Error executing tool: {str(e)}", exc_info=True)
error_call = ToolCall(
id=call.id, name=call.name, arguments=call.arguments
)
error_response = f"Error executing tool: {str(e)}"
error_message = self.create_tool_message(error_call, error_response)
updated_messages.append(error_message)
call_parts = call.name.split("_")
if len(call_parts) >= 2:
tool_id = call_parts[-1] # Last part is tool ID (e.g., "1")
action_name = "_".join(call_parts[:-1])
tool_name = tools_dict.get(tool_id, {}).get("name", "unknown_tool")
full_action_name = f"{action_name}_{tool_id}"
else:
tool_name = "unknown_tool"
action_name = call.name
full_action_name = call.name
yield {
"type": "tool_call",
"data": {
"tool_name": tool_name,
"call_id": call.id,
"action_name": full_action_name,
"arguments": call.arguments,
"error": error_response,
"status": "error",
},
updated_messages.append(
{
"role": "tool",
"content": f"Error executing tool: {str(e)}",
"tool_call_id": call.id,
}
)
return updated_messages
def handle_non_streaming(
@@ -281,11 +263,13 @@ class LLMHandler(ABC):
except StopIteration as e:
messages = e.value
break
response = agent.llm.gen(
model=agent.gpt_model, messages=messages, tools=agent.tools
)
parsed = self.parse_response(response)
self.llm_calls.append(build_stack_data(agent.llm))
return parsed.content
def handle_streaming(

View File

@@ -17,6 +17,7 @@ class GoogleLLMHandler(LLMHandler):
finish_reason="stop",
raw_response=response,
)
if hasattr(response, "candidates"):
parts = response.candidates[0].content.parts if response.candidates else []
tool_calls = [
@@ -40,6 +41,7 @@ class GoogleLLMHandler(LLMHandler):
finish_reason="tool_calls" if tool_calls else "stop",
raw_response=response,
)
else:
tool_calls = []
if hasattr(response, "function_call"):
@@ -59,16 +61,14 @@ class GoogleLLMHandler(LLMHandler):
def create_tool_message(self, tool_call: ToolCall, result: Any) -> Dict:
"""Create Google-style tool message."""
from google.genai import types
return {
"role": "model",
"role": "tool",
"content": [
{
"function_response": {
"name": tool_call.name,
"response": {"result": result},
}
}
types.Part.from_function_response(
name=tool_call.name, response={"result": result}
).to_json_dict()
],
}

View File

@@ -17,13 +17,14 @@ class GoogleDriveAuth(BaseConnectorAuth):
"""
SCOPES = [
'https://www.googleapis.com/auth/drive.file'
'https://www.googleapis.com/auth/drive.readonly',
'https://www.googleapis.com/auth/drive.metadata.readonly'
]
def __init__(self):
self.client_id = settings.GOOGLE_CLIENT_ID
self.client_secret = settings.GOOGLE_CLIENT_SECRET
self.redirect_uri = f"{settings.CONNECTOR_REDIRECT_BASE_URI}"
self.redirect_uri = f"{settings.CONNECTOR_REDIRECT_BASE_URI}?provider=google_drive"
if not self.client_id or not self.client_secret:
raise ValueError("Google OAuth credentials not configured. Please set GOOGLE_CLIENT_ID and GOOGLE_CLIENT_SECRET in settings.")
@@ -49,7 +50,7 @@ class GoogleDriveAuth(BaseConnectorAuth):
authorization_url, _ = flow.authorization_url(
access_type='offline',
prompt='consent',
include_granted_scopes='false',
include_granted_scopes='true',
state=state
)

View File

@@ -32,10 +32,6 @@ class GoogleDriveLoader(BaseConnectorLoader):
'text/plain': '.txt',
'text/csv': '.csv',
'text/html': '.html',
'text/markdown': '.md',
'text/x-rst': '.rst',
'application/json': '.json',
'application/epub+zip': '.epub',
'application/rtf': '.rtf',
'image/jpeg': '.jpg',
'image/jpg': '.jpg',
@@ -124,7 +120,6 @@ class GoogleDriveLoader(BaseConnectorLoader):
list_only = inputs.get('list_only', False)
load_content = not list_only
page_token = inputs.get('page_token')
search_query = inputs.get('search_query')
self.next_page_token = None
if file_ids:
@@ -133,18 +128,12 @@ class GoogleDriveLoader(BaseConnectorLoader):
try:
doc = self._load_file_by_id(file_id, load_content=load_content)
if doc:
if not search_query or (
search_query.lower() in doc.extra_info.get('file_name', '').lower()
):
documents.append(doc)
elif hasattr(self, '_credential_refreshed') and self._credential_refreshed:
self._credential_refreshed = False
logging.info(f"Retrying load of file {file_id} after credential refresh")
doc = self._load_file_by_id(file_id, load_content=load_content)
if doc and (
not search_query or
search_query.lower() in doc.extra_info.get('file_name', '').lower()
):
if doc:
documents.append(doc)
except Exception as e:
logging.error(f"Error loading file {file_id}: {e}")
@@ -152,13 +141,7 @@ class GoogleDriveLoader(BaseConnectorLoader):
else:
# Browsing mode: list immediate children of provided folder or root
parent_id = folder_id if folder_id else 'root'
documents = self._list_items_in_parent(
parent_id,
limit=limit,
load_content=load_content,
page_token=page_token,
search_query=search_query
)
documents = self._list_items_in_parent(parent_id, limit=limit, load_content=load_content, page_token=page_token)
logging.info(f"Loaded {len(documents)} documents from Google Drive")
return documents
@@ -201,18 +184,13 @@ class GoogleDriveLoader(BaseConnectorLoader):
return None
def _list_items_in_parent(self, parent_id: str, limit: int = 100, load_content: bool = False, page_token: Optional[str] = None, search_query: Optional[str] = None) -> List[Document]:
def _list_items_in_parent(self, parent_id: str, limit: int = 100, load_content: bool = False, page_token: Optional[str] = None) -> List[Document]:
self._ensure_service()
documents: List[Document] = []
try:
query = f"'{parent_id}' in parents and trashed=false"
if search_query:
safe_search = search_query.replace("'", "\\'")
query += f" and name contains '{safe_search}'"
next_token_out: Optional[str] = None
while True:
@@ -227,8 +205,7 @@ class GoogleDriveLoader(BaseConnectorLoader):
q=query,
fields='nextPageToken,files(id,name,mimeType,size,createdTime,modifiedTime,parents)',
pageToken=page_token,
pageSize=page_size,
orderBy='name'
pageSize=page_size
).execute()
items = results.get('files', [])

View File

@@ -2,7 +2,6 @@ anthropic==0.49.0
boto3==1.38.18
beautifulsoup4==4.13.4
celery==5.4.0
cryptography==42.0.8
dataclasses-json==0.6.7
docx2txt==0.8
duckduckgo-search==7.5.2
@@ -12,7 +11,6 @@ esprima==4.0.1
esutils==1.0.1
Flask==3.1.1
faiss-cpu==1.9.0.post1
fastmcp==2.11.0
flask-restx==1.3.0
google-genai==1.3.0
google-api-python-client==2.179.0
@@ -57,13 +55,13 @@ prompt-toolkit==3.0.51
protobuf==5.29.3
psycopg2-binary==2.9.10
py==1.11.0
pydantic
pydantic-core
pydantic-settings
pydantic==2.10.6
pydantic-core==2.27.2
pydantic-settings==2.7.1
pymongo==4.11.3
pypdf==5.5.0
python-dateutil==2.9.0.post0
python-dotenv
python-dotenv==1.0.1
python-jose==3.4.0
python-pptx==1.0.2
redis==5.2.1
@@ -83,7 +81,7 @@ tzdata==2024.2
urllib3==2.3.0
vine==5.1.0
wcwidth==0.2.13
werkzeug>=3.1.0,<3.1.2
werkzeug==3.1.3
yarl==1.20.0
markdownify==1.1.0
tldextract==5.1.3

View File

@@ -5,6 +5,10 @@ class BaseRetriever(ABC):
def __init__(self):
pass
@abstractmethod
def gen(self, *args, **kwargs):
pass
@abstractmethod
def search(self, *args, **kwargs):
pass

View File

@@ -1,6 +1,4 @@
import logging
import os
from application.core.settings import settings
from application.llm.llm_creator import LLMCreator
from application.retriever.base import BaseRetriever
@@ -22,19 +20,9 @@ class ClassicRAG(BaseRetriever):
api_key=settings.API_KEY,
decoded_token=None,
):
"""Initialize ClassicRAG retriever with vectorstore sources and LLM configuration"""
self.original_question = source.get("question", "")
self.original_question = ""
self.chat_history = chat_history if chat_history is not None else []
self.prompt = prompt
if isinstance(chunks, str):
try:
self.chunks = int(chunks)
except ValueError:
logging.warning(
f"Invalid chunks value '{chunks}', using default value 2"
)
self.chunks = 2
else:
self.chunks = chunks
self.gpt_model = gpt_model
self.token_limit = (
@@ -56,52 +44,25 @@ class ClassicRAG(BaseRetriever):
user_api_key=self.user_api_key,
decoded_token=decoded_token,
)
if "active_docs" in source and source["active_docs"] is not None:
if isinstance(source["active_docs"], list):
self.vectorstores = source["active_docs"]
else:
self.vectorstores = [source["active_docs"]]
else:
self.vectorstores = []
self.vectorstore = source["active_docs"] if "active_docs" in source else None
self.question = self._rephrase_query()
self.decoded_token = decoded_token
self._validate_vectorstore_config()
def _validate_vectorstore_config(self):
"""Validate vectorstore IDs and remove any empty/invalid entries"""
if not self.vectorstores:
logging.warning("No vectorstores configured for retrieval")
return
invalid_ids = [
vs_id for vs_id in self.vectorstores if not vs_id or not vs_id.strip()
]
if invalid_ids:
logging.warning(f"Found invalid vectorstore IDs: {invalid_ids}")
self.vectorstores = [
vs_id for vs_id in self.vectorstores if vs_id and vs_id.strip()
]
def _rephrase_query(self):
"""Rephrase user query with chat history context for better retrieval"""
if (
not self.original_question
or not self.chat_history
or self.chat_history == []
or self.chunks == 0
or not self.vectorstores
or self.vectorstore is None
):
return self.original_question
prompt = f"""Given the following conversation history:
prompt = f"""Given the following conversation history:
{self.chat_history}
Rephrase the following user question to be a standalone search query
that captures all relevant context from the conversation:
"""
messages = [
@@ -118,75 +79,44 @@ class ClassicRAG(BaseRetriever):
return self.original_question
def _get_data(self):
"""Retrieve relevant documents from configured vectorstores"""
if self.chunks == 0 or not self.vectorstores:
return []
all_docs = []
chunks_per_source = max(1, self.chunks // len(self.vectorstores))
for vectorstore_id in self.vectorstores:
if vectorstore_id:
try:
if self.chunks == 0 or self.vectorstore is None:
docs = []
else:
docsearch = VectorCreator.create_vectorstore(
settings.VECTOR_STORE, vectorstore_id, settings.EMBEDDINGS_KEY
settings.VECTOR_STORE, self.vectorstore, settings.EMBEDDINGS_KEY
)
docs_temp = docsearch.search(self.question, k=chunks_per_source)
for doc in docs_temp:
if hasattr(doc, "page_content") and hasattr(doc, "metadata"):
page_content = doc.page_content
metadata = doc.metadata
else:
page_content = doc.get("text", doc.get("page_content", ""))
metadata = doc.get("metadata", {})
title = metadata.get(
"title", metadata.get("post_title", page_content)
)
if not isinstance(title, str):
title = str(title)
title = title.split("/")[-1]
filename = (
metadata.get("filename")
or metadata.get("file_name")
or metadata.get("source")
)
if isinstance(filename, str):
filename = os.path.basename(filename) or filename
else:
filename = title
if not filename:
filename = title
source_path = metadata.get("source") or vectorstore_id
all_docs.append(
docs_temp = docsearch.search(self.question, k=self.chunks)
docs = [
{
"title": title,
"text": page_content,
"source": source_path,
"filename": filename,
"title": i.metadata.get(
"title", i.metadata.get("post_title", i.page_content)
).split("/")[-1],
"text": i.page_content,
"source": (
i.metadata.get("source")
if i.metadata.get("source")
else "local"
),
}
)
except Exception as e:
logging.error(
f"Error searching vectorstore {vectorstore_id}: {e}",
exc_info=True,
)
continue
return all_docs
for i in docs_temp
]
return docs
def gen():
pass
def search(self, query: str = ""):
"""Search for documents using optional query override"""
if query:
self.original_question = query
self.question = self._rephrase_query()
return self._get_data()
def get_params(self):
"""Return current retriever configuration parameters"""
return {
"question": self.original_question,
"rephrased_question": self.question,
"sources": self.vectorstores,
"source": self.vectorstore,
"chunks": self.chunks,
"token_limit": self.token_limit,
"gpt_model": self.gpt_model,

View File

@@ -1,85 +0,0 @@
import base64
import json
import os
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives.ciphers import algorithms, Cipher, modes
from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC
from application.core.settings import settings
def _derive_key(user_id: str, salt: bytes) -> bytes:
app_secret = settings.ENCRYPTION_SECRET_KEY
password = f"{app_secret}#{user_id}".encode()
kdf = PBKDF2HMAC(
algorithm=hashes.SHA256(),
length=32,
salt=salt,
iterations=100000,
backend=default_backend(),
)
return kdf.derive(password)
def encrypt_credentials(credentials: dict, user_id: str) -> str:
if not credentials:
return ""
try:
salt = os.urandom(16)
iv = os.urandom(16)
key = _derive_key(user_id, salt)
json_str = json.dumps(credentials)
cipher = Cipher(algorithms.AES(key), modes.CBC(iv), backend=default_backend())
encryptor = cipher.encryptor()
padded_data = _pad_data(json_str.encode())
encrypted_data = encryptor.update(padded_data) + encryptor.finalize()
result = salt + iv + encrypted_data
return base64.b64encode(result).decode()
except Exception as e:
print(f"Warning: Failed to encrypt credentials: {e}")
return ""
def decrypt_credentials(encrypted_data: str, user_id: str) -> dict:
if not encrypted_data:
return {}
try:
data = base64.b64decode(encrypted_data.encode())
salt = data[:16]
iv = data[16:32]
encrypted_content = data[32:]
key = _derive_key(user_id, salt)
cipher = Cipher(algorithms.AES(key), modes.CBC(iv), backend=default_backend())
decryptor = cipher.decryptor()
decrypted_padded = decryptor.update(encrypted_content) + decryptor.finalize()
decrypted_data = _unpad_data(decrypted_padded)
return json.loads(decrypted_data.decode())
except Exception as e:
print(f"Warning: Failed to decrypt credentials: {e}")
return {}
def _pad_data(data: bytes) -> bytes:
block_size = 16
padding_len = block_size - (len(data) % block_size)
padding = bytes([padding_len]) * padding_len
return data + padding
def _unpad_data(data: bytes) -> bytes:
padding_len = data[-1]
return data[:-padding_len]

View File

@@ -1,20 +1,12 @@
import os
from abc import ABC, abstractmethod
from langchain_openai import OpenAIEmbeddings
import os
from sentence_transformers import SentenceTransformer
from langchain_openai import OpenAIEmbeddings
from application.core.settings import settings
class EmbeddingsWrapper:
def __init__(self, model_name, *args, **kwargs):
self.model = SentenceTransformer(
model_name,
config_kwargs={"allow_dangerous_deserialization": True},
*args,
**kwargs
)
self.model = SentenceTransformer(model_name, config_kwargs={'allow_dangerous_deserialization': True}, *args, **kwargs)
self.dimension = self.model.get_sentence_embedding_dimension()
def embed_query(self, query: str):
@@ -32,14 +24,15 @@ class EmbeddingsWrapper:
raise ValueError("Input must be a string or a list of strings")
class EmbeddingsSingleton:
_instances = {}
@staticmethod
def get_instance(embeddings_name, *args, **kwargs):
if embeddings_name not in EmbeddingsSingleton._instances:
EmbeddingsSingleton._instances[embeddings_name] = (
EmbeddingsSingleton._create_instance(embeddings_name, *args, **kwargs)
EmbeddingsSingleton._instances[embeddings_name] = EmbeddingsSingleton._create_instance(
embeddings_name, *args, **kwargs
)
return EmbeddingsSingleton._instances[embeddings_name]
@@ -47,15 +40,9 @@ class EmbeddingsSingleton:
def _create_instance(embeddings_name, *args, **kwargs):
embeddings_factory = {
"openai_text-embedding-ada-002": OpenAIEmbeddings,
"huggingface_sentence-transformers/all-mpnet-base-v2": lambda: EmbeddingsWrapper(
"sentence-transformers/all-mpnet-base-v2"
),
"huggingface_sentence-transformers-all-mpnet-base-v2": lambda: EmbeddingsWrapper(
"sentence-transformers/all-mpnet-base-v2"
),
"huggingface_hkunlp/instructor-large": lambda: EmbeddingsWrapper(
"hkunlp/instructor-large"
),
"huggingface_sentence-transformers/all-mpnet-base-v2": lambda: EmbeddingsWrapper("sentence-transformers/all-mpnet-base-v2"),
"huggingface_sentence-transformers-all-mpnet-base-v2": lambda: EmbeddingsWrapper("sentence-transformers/all-mpnet-base-v2"),
"huggingface_hkunlp/instructor-large": lambda: EmbeddingsWrapper("hkunlp/instructor-large"),
}
if embeddings_name in embeddings_factory:
@@ -63,58 +50,29 @@ class EmbeddingsSingleton:
else:
return EmbeddingsWrapper(embeddings_name, *args, **kwargs)
class BaseVectorStore(ABC):
def __init__(self):
pass
@abstractmethod
def search(self, *args, **kwargs):
"""Search for similar documents/chunks in the vectorstore"""
pass
@abstractmethod
def add_texts(self, texts, metadatas=None, *args, **kwargs):
"""Add texts with their embeddings to the vectorstore"""
pass
def delete_index(self, *args, **kwargs):
"""Delete the entire index/collection"""
pass
def save_local(self, *args, **kwargs):
"""Save vectorstore to local storage"""
pass
def get_chunks(self, *args, **kwargs):
"""Get all chunks from the vectorstore"""
pass
def add_chunk(self, text, metadata=None, *args, **kwargs):
"""Add a single chunk to the vectorstore"""
pass
def delete_chunk(self, chunk_id, *args, **kwargs):
"""Delete a specific chunk from the vectorstore"""
pass
def is_azure_configured(self):
return (
settings.OPENAI_API_BASE
and settings.OPENAI_API_VERSION
and settings.AZURE_DEPLOYMENT_NAME
)
return settings.OPENAI_API_BASE and settings.OPENAI_API_VERSION and settings.AZURE_DEPLOYMENT_NAME
def _get_embeddings(self, embeddings_name, embeddings_key=None):
if embeddings_name == "openai_text-embedding-ada-002":
if self.is_azure_configured():
os.environ["OPENAI_API_TYPE"] = "azure"
embedding_instance = EmbeddingsSingleton.get_instance(
embeddings_name, model=settings.AZURE_EMBEDDINGS_DEPLOYMENT_NAME
embeddings_name,
model=settings.AZURE_EMBEDDINGS_DEPLOYMENT_NAME
)
else:
embedding_instance = EmbeddingsSingleton.get_instance(
embeddings_name, openai_api_key=embeddings_key
embeddings_name,
openai_api_key=embeddings_key
)
elif embeddings_name == "huggingface_sentence-transformers/all-mpnet-base-v2":
if os.path.exists("./models/all-mpnet-base-v2"):
@@ -129,3 +87,4 @@ class BaseVectorStore(ABC):
embedding_instance = EmbeddingsSingleton.get_instance(embeddings_name)
return embedding_instance

View File

@@ -19,7 +19,6 @@ from bson.objectid import ObjectId
from application.agents.agent_creator import AgentCreator
from application.api.answer.services.stream_processor import get_prompt
from application.cache import get_redis_instance
from application.core.mongo_db import MongoDB
from application.core.settings import settings
from application.parser.chunking import Chunker
@@ -215,7 +214,8 @@ def run_agent_logic(agent_config, input_data):
def ingest_worker(
self, directory, formats, job_name, file_path, filename, user, retriever="classic"
self, directory, formats, job_name, file_path, filename, user,
retriever="classic"
):
"""
Ingest and process documents.
@@ -270,9 +270,7 @@ def ingest_worker(
with open(local_file_path, "wb") as f:
f.write(file_data.read())
except Exception as e:
logging.error(
f"Error downloading file {storage_file_path}: {e}"
)
logging.error(f"Error downloading file {storage_file_path}: {e}")
continue
else:
# Handle single file case
@@ -287,10 +285,7 @@ def ingest_worker(
if temp_filename.endswith(".zip"):
logging.info(f"Extracting zip file: {temp_filename}")
extract_zip_recursive(
temp_file_path,
temp_dir,
current_depth=0,
max_depth=RECURSION_DEPTH,
temp_file_path, temp_dir, current_depth=0, max_depth=RECURSION_DEPTH
)
self.update_state(state="PROGRESS", meta={"current": 1})
@@ -306,7 +301,7 @@ def ingest_worker(
)
raw_docs = reader.load_data()
directory_structure = getattr(reader, "directory_structure", {})
directory_structure = getattr(reader, 'directory_structure', {})
logging.info(f"Directory structure from reader: {directory_structure}")
chunker = Chunker(
@@ -376,10 +371,7 @@ def reingest_source_worker(self, source_id, user):
try:
from application.vectorstore.vector_creator import VectorCreator
self.update_state(
state="PROGRESS",
meta={"current": 10, "status": "Initializing re-ingestion scan"},
)
self.update_state(state="PROGRESS", meta={"current": 10, "status": "Initializing re-ingestion scan"})
source = sources_collection.find_one({"_id": ObjectId(source_id), "user": user})
if not source:
@@ -388,9 +380,7 @@ def reingest_source_worker(self, source_id, user):
storage = StorageCreator.get_storage()
source_file_path = source.get("file_path", "")
self.update_state(
state="PROGRESS", meta={"current": 20, "status": "Scanning current files"}
)
self.update_state(state="PROGRESS", meta={"current": 20, "status": "Scanning current files"})
with tempfile.TemporaryDirectory() as temp_dir:
# Download all files from storage to temp directory, preserving directory structure
@@ -401,6 +391,7 @@ def reingest_source_worker(self, source_id, user):
if storage.is_directory(storage_file_path):
continue
rel_path = os.path.relpath(storage_file_path, source_file_path)
local_file_path = os.path.join(temp_dir, rel_path)
@@ -412,39 +403,23 @@ def reingest_source_worker(self, source_id, user):
with open(local_file_path, "wb") as f:
f.write(file_data.read())
except Exception as e:
logging.error(
f"Error downloading file {storage_file_path}: {e}"
)
logging.error(f"Error downloading file {storage_file_path}: {e}")
continue
reader = SimpleDirectoryReader(
input_dir=temp_dir,
recursive=True,
required_exts=[
".rst",
".md",
".pdf",
".txt",
".docx",
".csv",
".epub",
".html",
".mdx",
".json",
".xlsx",
".pptx",
".png",
".jpg",
".jpeg",
".rst", ".md", ".pdf", ".txt", ".docx", ".csv", ".epub",
".html", ".mdx", ".json", ".xlsx", ".pptx", ".png",
".jpg", ".jpeg",
],
exclude_hidden=True,
file_metadata=metadata_from_filename,
)
reader.load_data()
directory_structure = reader.directory_structure
logging.info(
f"Directory structure built with token counts: {directory_structure}"
)
logging.info(f"Directory structure built with token counts: {directory_structure}")
try:
old_directory_structure = source.get("directory_structure") or {}
@@ -458,17 +433,11 @@ def reingest_source_worker(self, source_id, user):
files = set()
if isinstance(struct, dict):
for name, meta in struct.items():
current_path = (
os.path.join(prefix, name) if prefix else name
)
if isinstance(meta, dict) and (
"type" in meta and "size_bytes" in meta
):
current_path = os.path.join(prefix, name) if prefix else name
if isinstance(meta, dict) and ("type" in meta and "size_bytes" in meta):
files.add(current_path)
elif isinstance(meta, dict):
files |= _flatten_directory_structure(
meta, current_path
)
files |= _flatten_directory_structure(meta, current_path)
return files
old_files = _flatten_directory_structure(old_directory_structure)
@@ -488,9 +457,7 @@ def reingest_source_worker(self, source_id, user):
logging.info("No files removed since last ingest.")
except Exception as e:
logging.error(
f"Error comparing directory structures: {e}", exc_info=True
)
logging.error(f"Error comparing directory structures: {e}", exc_info=True)
added_files = []
removed_files = []
try:
@@ -510,21 +477,14 @@ def reingest_source_worker(self, source_id, user):
settings.EMBEDDINGS_KEY,
)
self.update_state(
state="PROGRESS",
meta={"current": 40, "status": "Processing file changes"},
)
self.update_state(state="PROGRESS", meta={"current": 40, "status": "Processing file changes"})
# 1) Delete chunks from removed files
deleted = 0
if removed_files:
try:
for ch in vector_store.get_chunks() or []:
metadata = (
ch.get("metadata", {})
if isinstance(ch, dict)
else getattr(ch, "metadata", {})
)
metadata = ch.get("metadata", {}) if isinstance(ch, dict) else getattr(ch, "metadata", {})
raw_source = metadata.get("source")
source_file = str(raw_source) if raw_source else ""
@@ -536,17 +496,10 @@ def reingest_source_worker(self, source_id, user):
vector_store.delete_chunk(cid)
deleted += 1
except Exception as de:
logging.error(
f"Failed deleting chunk {cid}: {de}"
)
logging.info(
f"Deleted {deleted} chunks from {len(removed_files)} removed files"
)
logging.error(f"Failed deleting chunk {cid}: {de}")
logging.info(f"Deleted {deleted} chunks from {len(removed_files)} removed files")
except Exception as e:
logging.error(
f"Error during deletion of removed file chunks: {e}",
exc_info=True,
)
logging.error(f"Error during deletion of removed file chunks: {e}", exc_info=True)
# 2) Add chunks from new files
added = 0
@@ -575,62 +528,39 @@ def reingest_source_worker(self, source_id, user):
)
chunked_new = chunker_new.chunk(documents=raw_docs_new)
for (
file_path,
token_count,
) in reader_new.file_token_counts.items():
for file_path, token_count in reader_new.file_token_counts.items():
try:
rel_path = os.path.relpath(
file_path, start=temp_dir
)
rel_path = os.path.relpath(file_path, start=temp_dir)
path_parts = rel_path.split(os.sep)
current_dir = directory_structure
for part in path_parts[:-1]:
if part in current_dir and isinstance(
current_dir[part], dict
):
if part in current_dir and isinstance(current_dir[part], dict):
current_dir = current_dir[part]
else:
break
filename = path_parts[-1]
if filename in current_dir and isinstance(
current_dir[filename], dict
):
current_dir[filename][
"token_count"
] = token_count
logging.info(
f"Updated token count for {rel_path}: {token_count}"
)
if filename in current_dir and isinstance(current_dir[filename], dict):
current_dir[filename]["token_count"] = token_count
logging.info(f"Updated token count for {rel_path}: {token_count}")
except Exception as e:
logging.warning(
f"Could not update token count for {file_path}: {e}"
)
logging.warning(f"Could not update token count for {file_path}: {e}")
for d in chunked_new:
meta = dict(d.extra_info or {})
try:
raw_src = meta.get("source")
if isinstance(raw_src, str) and os.path.isabs(
raw_src
):
meta["source"] = os.path.relpath(
raw_src, start=temp_dir
)
if isinstance(raw_src, str) and os.path.isabs(raw_src):
meta["source"] = os.path.relpath(raw_src, start=temp_dir)
except Exception:
pass
vector_store.add_chunk(d.text, metadata=meta)
added += 1
logging.info(
f"Added {added} chunks from {len(added_files)} new files"
)
logging.info(f"Added {added} chunks from {len(added_files)} new files")
except Exception as e:
logging.error(
f"Error during ingestion of new files: {e}", exc_info=True
)
logging.error(f"Error during ingestion of new files: {e}", exc_info=True)
# 3) Update source directory structure timestamp
try:
@@ -642,19 +572,14 @@ def reingest_source_worker(self, source_id, user):
"$set": {
"directory_structure": directory_structure,
"date": datetime.datetime.now(),
"tokens": total_tokens,
"tokens": total_tokens
}
},
)
except Exception as e:
logging.error(
f"Error updating directory_structure in DB: {e}", exc_info=True
)
logging.error(f"Error updating directory_structure in DB: {e}", exc_info=True)
self.update_state(
state="PROGRESS",
meta={"current": 100, "status": "Re-ingestion completed"},
)
self.update_state(state="PROGRESS", meta={"current": 100, "status": "Re-ingestion completed"})
return {
"source_id": source_id,
@@ -666,16 +591,15 @@ def reingest_source_worker(self, source_id, user):
"chunks_deleted": deleted,
}
except Exception as e:
logging.error(
f"Error while processing file changes: {e}", exc_info=True
)
logging.error(f"Error while processing file changes: {e}", exc_info=True)
raise
except Exception as e:
logging.error(f"Error in reingest_source_worker: {e}", exc_info=True)
raise
def remote_worker(
self,
source_data,
@@ -727,7 +651,7 @@ def remote_worker(
"id": str(id),
"type": loader,
"remote_data": source_data,
"sync_frequency": sync_frequency,
"sync_frequency": sync_frequency
}
if operation_mode == "sync":
@@ -828,6 +752,7 @@ def attachment_worker(self, file_info, user):
.text,
)
token_count = num_tokens_from_string(content)
if token_count > 100000:
content = content[:250000]
@@ -947,49 +872,37 @@ def ingest_connector(
doc_id: Document ID for sync operations (required when operation_mode="sync")
sync_frequency: How often to sync ("never", "daily", "weekly", "monthly")
"""
logging.info(
f"Starting remote ingestion from {source_type} for user: {user}, job: {job_name}"
)
logging.info(f"Starting remote ingestion from {source_type} for user: {user}, job: {job_name}")
self.update_state(state="PROGRESS", meta={"current": 1})
with tempfile.TemporaryDirectory() as temp_dir:
try:
# Step 1: Initialize the appropriate loader
self.update_state(
state="PROGRESS",
meta={"current": 10, "status": "Initializing connector"},
)
self.update_state(state="PROGRESS", meta={"current": 10, "status": "Initializing connector"})
if not session_token:
raise ValueError(f"{source_type} connector requires session_token")
if not ConnectorCreator.is_supported(source_type):
raise ValueError(
f"Unsupported connector type: {source_type}. Supported types: {ConnectorCreator.get_supported_connectors()}"
)
raise ValueError(f"Unsupported connector type: {source_type}. Supported types: {ConnectorCreator.get_supported_connectors()}")
remote_loader = ConnectorCreator.create_connector(
source_type, session_token
)
remote_loader = ConnectorCreator.create_connector(source_type, session_token)
# Create a clean config for storage
api_source_config = {
"file_ids": file_ids or [],
"folder_ids": folder_ids or [],
"recursive": recursive,
"recursive": recursive
}
# Step 2: Download files to temp directory
self.update_state(
state="PROGRESS", meta={"current": 20, "status": "Downloading files"}
)
self.update_state(state="PROGRESS", meta={"current": 20, "status": "Downloading files"})
download_info = remote_loader.download_to_directory(
temp_dir, api_source_config
temp_dir,
api_source_config
)
if download_info.get("empty_result", False) or not download_info.get(
"files_downloaded", 0
):
if download_info.get("empty_result", False) or not download_info.get("files_downloaded", 0):
logging.warning(f"No files were downloaded from {source_type}")
# Create empty result directly instead of calling a separate method
return {
@@ -1002,39 +915,25 @@ def ingest_connector(
}
# Step 3: Use SimpleDirectoryReader to process downloaded files
self.update_state(
state="PROGRESS", meta={"current": 40, "status": "Processing files"}
)
self.update_state(state="PROGRESS", meta={"current": 40, "status": "Processing files"})
reader = SimpleDirectoryReader(
input_dir=temp_dir,
recursive=True,
required_exts=[
".rst",
".md",
".pdf",
".txt",
".docx",
".csv",
".epub",
".html",
".mdx",
".json",
".xlsx",
".pptx",
".png",
".jpg",
".jpeg",
".rst", ".md", ".pdf", ".txt", ".docx", ".csv", ".epub",
".html", ".mdx", ".json", ".xlsx", ".pptx", ".png",
".jpg", ".jpeg",
],
exclude_hidden=True,
file_metadata=metadata_from_filename,
)
raw_docs = reader.load_data()
directory_structure = getattr(reader, "directory_structure", {})
directory_structure = getattr(reader, 'directory_structure', {})
# Step 4: Process documents (chunking, embedding, etc.)
self.update_state(
state="PROGRESS", meta={"current": 60, "status": "Processing documents"}
)
self.update_state(state="PROGRESS", meta={"current": 60, "status": "Processing documents"})
chunker = Chunker(
chunking_strategy="classic_chunk",
@@ -1046,13 +945,11 @@ def ingest_connector(
# Preserve source information in document metadata
for doc in raw_docs:
if hasattr(doc, "extra_info") and doc.extra_info:
source = doc.extra_info.get("source")
if hasattr(doc, 'extra_info') and doc.extra_info:
source = doc.extra_info.get('source')
if source and os.path.isabs(source):
# Convert absolute path to relative path
doc.extra_info["source"] = os.path.relpath(
source, start=temp_dir
)
doc.extra_info['source'] = os.path.relpath(source, start=temp_dir)
docs = [Document.to_langchain_format(raw_doc) for raw_doc in raw_docs]
@@ -1060,9 +957,7 @@ def ingest_connector(
id = ObjectId()
elif operation_mode == "sync":
if not doc_id or not ObjectId.is_valid(doc_id):
logging.error(
"Invalid doc_id provided for sync operation: %s", doc_id
)
logging.error("Invalid doc_id provided for sync operation: %s", doc_id)
raise ValueError("doc_id must be provided for sync operation.")
id = ObjectId(doc_id)
else:
@@ -1071,9 +966,7 @@ def ingest_connector(
vector_store_path = os.path.join(temp_dir, "vector_store")
os.makedirs(vector_store_path, exist_ok=True)
self.update_state(
state="PROGRESS", meta={"current": 80, "status": "Storing documents"}
)
self.update_state(state="PROGRESS", meta={"current": 80, "status": "Storing documents"})
embed_and_store_documents(docs, vector_store_path, id, self)
tokens = count_tokens_docs(docs)
@@ -1085,12 +978,13 @@ def ingest_connector(
"tokens": tokens,
"retriever": retriever,
"id": str(id),
"type": "connector:file",
"remote_data": json.dumps(
{"provider": source_type, **api_source_config}
),
"type": "connector",
"remote_data": json.dumps({
"provider": source_type,
**api_source_config
}),
"directory_structure": json.dumps(directory_structure),
"sync_frequency": sync_frequency,
"sync_frequency": sync_frequency
}
if operation_mode == "sync":
@@ -1101,9 +995,7 @@ def ingest_connector(
upload_index(vector_store_path, file_data)
# Ensure we mark the task as complete
self.update_state(
state="PROGRESS", meta={"current": 100, "status": "Complete"}
)
self.update_state(state="PROGRESS", meta={"current": 100, "status": "Complete"})
logging.info(f"Remote ingestion completed: {job_name}")
@@ -1113,136 +1005,9 @@ def ingest_connector(
"tokens": tokens,
"type": source_type,
"id": str(id),
"status": "complete",
"status": "complete"
}
except Exception as e:
logging.error(f"Error during remote ingestion: {e}", exc_info=True)
raise
def mcp_oauth(self, config: Dict[str, Any], user_id: str = None) -> Dict[str, Any]:
"""Worker to handle MCP OAuth flow asynchronously."""
logging.info(
"[MCP OAuth] Worker started for user_id=%s, config=%s", user_id, config
)
try:
import asyncio
from application.agents.tools.mcp_tool import MCPTool
task_id = self.request.id
logging.info("[MCP OAuth] Task ID: %s", task_id)
redis_client = get_redis_instance()
def update_status(status_data: Dict[str, Any]):
logging.info("[MCP OAuth] Updating status: %s", status_data)
status_key = f"mcp_oauth_status:{task_id}"
redis_client.setex(status_key, 600, json.dumps(status_data))
update_status(
{
"status": "in_progress",
"message": "Starting OAuth flow...",
"task_id": task_id,
}
)
tool_config = config.copy()
tool_config["oauth_task_id"] = task_id
logging.info("[MCP OAuth] Initializing MCPTool with config: %s", tool_config)
mcp_tool = MCPTool(tool_config, user_id)
async def run_oauth_discovery():
if not mcp_tool._client:
mcp_tool._setup_client()
return await mcp_tool._execute_with_client("list_tools")
update_status(
{
"status": "awaiting_redirect",
"message": "Waiting for OAuth redirect...",
"task_id": task_id,
}
)
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
try:
logging.info("[MCP OAuth] Starting event loop for OAuth discovery...")
tools_response = loop.run_until_complete(run_oauth_discovery())
logging.info(
"[MCP OAuth] Tools response after async call: %s", tools_response
)
status_key = f"mcp_oauth_status:{task_id}"
redis_status = redis_client.get(status_key)
if redis_status:
logging.info(
"[MCP OAuth] Redis status after async call: %s", redis_status
)
else:
logging.warning(
"[MCP OAuth] No Redis status found after async call for key: %s",
status_key,
)
tools = mcp_tool.get_actions_metadata()
update_status(
{
"status": "completed",
"message": f"OAuth completed successfully. Found {len(tools)} tools.",
"tools": tools,
"tools_count": len(tools),
"task_id": task_id,
}
)
logging.info(
"[MCP OAuth] OAuth flow completed successfully for task_id=%s", task_id
)
return {"success": True, "tools": tools, "tools_count": len(tools)}
except Exception as e:
error_msg = f"OAuth flow failed: {str(e)}"
logging.error(
"[MCP OAuth] Exception in OAuth discovery: %s", error_msg, exc_info=True
)
update_status(
{
"status": "error",
"message": error_msg,
"error": str(e),
"task_id": task_id,
}
)
return {"success": False, "error": error_msg}
finally:
logging.info("[MCP OAuth] Closing event loop for task_id=%s", task_id)
loop.close()
except Exception as e:
error_msg = f"Failed to initialize OAuth flow: {str(e)}"
logging.error(
"[MCP OAuth] Exception during initialization: %s", error_msg, exc_info=True
)
update_status(
{
"status": "error",
"message": error_msg,
"error": str(e),
"task_id": task_id,
}
)
return {"success": False, "error": error_msg}
def mcp_oauth_status(self, task_id: str) -> Dict[str, Any]:
"""Check the status of an MCP OAuth flow."""
redis_client = get_redis_instance()
status_key = f"mcp_oauth_status:{task_id}"
status_data = redis_client.get(status_key)
if status_data:
return json.loads(status_data)
return {"status": "not_found", "message": "Status not found"}

View File

@@ -6,7 +6,6 @@ services:
environment:
- VITE_API_HOST=http://localhost:7091
- VITE_API_STREAMING=$VITE_API_STREAMING
- VITE_GOOGLE_CLIENT_ID=$VITE_GOOGLE_CLIENT_ID
ports:
- "5173:5173"
depends_on:

View File

@@ -7,7 +7,6 @@ services:
environment:
- VITE_API_HOST=http://localhost:7091
- VITE_API_STREAMING=$VITE_API_STREAMING
- VITE_GOOGLE_CLIENT_ID=$VITE_GOOGLE_CLIENT_ID
ports:
- "5173:5173"
depends_on:

View File

@@ -1,6 +0,0 @@
{
"google-drive-connector": {
"title": "🔗 Google Drive",
"href": "/Guides/Integrations/google-drive-connector"
}
}

View File

@@ -1,212 +0,0 @@
---
title: Google Drive Connector
description: Connect your Google Drive as an external knowledge base to upload and process files directly from your Google Drive account.
---
import { Callout } from 'nextra/components'
import { Steps } from 'nextra/components'
# Google Drive Connector
The Google Drive Connector allows you to seamlessly connect your Google Drive account as an external knowledge base. This integration enables you to upload and process files directly from your Google Drive without manually downloading and uploading them to DocsGPT.
## Features
- **Direct File Access**: Browse and select files directly from your Google Drive
- **Comprehensive File Support**: Supports all major document formats including:
- Google Workspace files (Docs, Sheets, Slides)
- Microsoft Office files (.docx, .xlsx, .pptx, .doc, .ppt, .xls)
- PDF documents
- Text files (.txt, .md, .rst, .html, .rtf)
- Data files (.csv, .json)
- Image files (.png, .jpg, .jpeg)
- E-books (.epub)
- **Secure Authentication**: Uses OAuth 2.0 for secure access to your Google Drive
- **Real-time Sync**: Process files directly from Google Drive without local downloads
<Callout type="info" emoji="">
The Google Drive Connector requires proper configuration of Google API credentials. Follow the setup instructions below to enable this feature.
</Callout>
## Prerequisites
Before setting up the Google Drive Connector, you'll need:
1. A Google Cloud Platform (GCP) project
2. Google Drive API enabled
3. OAuth 2.0 credentials configured
4. DocsGPT instance with proper environment variables
## Setup Instructions
<Steps>
### Step 1: Create a Google Cloud Project
1. Go to the [Google Cloud Console](https://console.cloud.google.com/)
2. Create a new project or select an existing one
3. Note down your Project ID for later use
### Step 2: Enable Google Drive API
1. In the Google Cloud Console, navigate to **APIs & Services** > **Library**
2. Search for "Google Drive API"
3. Click on "Google Drive API" and click **Enable**
### Step 3: Create OAuth 2.0 Credentials
1. Go to **APIs & Services** > **Credentials**
2. Click **Create Credentials** > **OAuth client ID**
3. If prompted, configure the OAuth consent screen:
- Choose **External** user type (unless you're using Google Workspace)
- Fill in the required fields (App name, User support email, Developer contact)
- Add your domain to **Authorized domains** if deploying publicly
4. For Application type, select **Web application**
5. Add your DocsGPT frontend URL to **Authorized JavaScript origins**:
- For local development: `http://localhost:3000`
- For production: `https://yourdomain.com`
6. Add your DocsGPT callback URL to **Authorized redirect URIs**:
- For local development: `http://localhost:7091/api/connectors/callback?provider=google_drive`
- For production: `https://yourdomain.com/api/connectors/callback?provider=google_drive`
7. Click **Create** and note down the **Client ID** and **Client Secret**
### Step 4: Configure Backend Environment Variables
Add the following environment variables to your backend configuration:
**For Docker deployment**, add to your `.env` file in the root directory:
```env
# Google Drive Connector Configuration
GOOGLE_CLIENT_ID=your_google_client_id_here
GOOGLE_CLIENT_SECRET=your_google_client_secret_here
```
**For manual deployment**, set these environment variables in your system or application configuration.
### Step 5: Configure Frontend Environment Variables
Add the following environment variables to your frontend `.env` file:
```env
# Google Drive Frontend Configuration
VITE_GOOGLE_CLIENT_ID=your_google_client_id_here
```
<Callout type="warning" emoji="⚠️">
Make sure to use the same Google Client ID in both backend and frontend configurations.
</Callout>
### Step 6: Restart Your Application
After configuring the environment variables:
1. **For Docker**: Restart your Docker containers
```bash
docker-compose down
docker-compose up -d
```
2. **For manual deployment**: Restart both backend and frontend services
</Steps>
## Using the Google Drive Connector
Once configured, you can use the Google Drive Connector to upload files:
<Steps>
### Step 1: Access the Upload Interface
1. Navigate to the DocsGPT interface
2. Go to the upload/training section
3. You should now see "Google Drive" as an available upload option
### Step 2: Connect Your Google Account
1. Select "Google Drive" as your upload method
2. Click "Connect to Google Drive"
3. You'll be redirected to Google's OAuth consent screen
4. Grant the necessary permissions to DocsGPT
5. You'll be redirected back to DocsGPT with a successful connection
### Step 3: Select Files
1. Once connected, click "Select Files"
2. The Google Drive picker will open
3. Browse your Google Drive and select the files you want to process
4. Click "Select" to confirm your choices
### Step 4: Process Files
1. Review your selected files
2. Click "Train" or "Upload" to process the files
3. DocsGPT will download and process the files from your Google Drive
4. Once processing is complete, the files will be available in your knowledge base
</Steps>
## Supported File Types
The Google Drive Connector supports the following file types:
| File Type | Extensions | Description |
|-----------|------------|-------------|
| **Google Workspace** | - | Google Docs, Sheets, Slides (automatically converted) |
| **Microsoft Office** | .docx, .xlsx, .pptx | Modern Office formats |
| **Legacy Office** | .doc, .ppt, .xls | Older Office formats |
| **PDF Documents** | .pdf | Portable Document Format |
| **Text Files** | .txt, .md, .rst, .html, .rtf | Various text formats |
| **Data Files** | .csv, .json | Structured data formats |
| **Images** | .png, .jpg, .jpeg | Image files (with OCR if enabled) |
| **E-books** | .epub | Electronic publication format |
## Troubleshooting
### Common Issues
**"Google Drive option not appearing"**
- Verify that `VITE_GOOGLE_CLIENT_ID` is set in frontend environment
- Check that `VITE_GOOGLE_CLIENT_ID` environment variable is present in your frontend configuration
- Check browser console for any JavaScript errors
- Ensure the frontend has been restarted after adding environment variables
**"Authentication failed"**
- Verify that your OAuth 2.0 credentials are correctly configured
- Check that the redirect URI `http://<your-domain>/api/connectors/callback?provider=google_drive` is correctly added in GCP console
- Ensure the Google Drive API is enabled in your GCP project
**"Permission denied" errors**
- Verify that the OAuth consent screen is properly configured
- Check that your Google account has access to the files you're trying to select
- Ensure the required scopes are granted during authentication
**"Files not processing"**
- Check that the backend environment variables are correctly set
- Verify that the OAuth credentials have the necessary permissions
- Check the backend logs for any error messages
### Environment Variable Checklist
**Backend (.env in root directory):**
- ✅ `GOOGLE_CLIENT_ID`
- ✅ `GOOGLE_CLIENT_SECRET`
**Frontend (.env in frontend directory):**
- ✅ `VITE_GOOGLE_CLIENT_ID`
### Security Considerations
- Keep your Google Client Secret secure and never expose it in frontend code
- Regularly rotate your OAuth credentials
- Use HTTPS in production to protect authentication tokens
- Ensure proper OAuth consent screen configuration for production use
<Callout type="tip" emoji="💡">
For production deployments, make sure to add your actual domain to the OAuth consent screen and authorized origins/redirect URIs.
</Callout>

View File

@@ -20,8 +20,5 @@
"Architecture": {
"title": "🏗️ Architecture",
"href": "/Guides/Architecture"
},
"Integrations": {
"title": "🔗 Integrations"
}
}

View File

@@ -21,7 +21,6 @@
"react-chartjs-2": "^5.3.0",
"react-dom": "^19.0.0",
"react-dropzone": "^14.3.8",
"react-google-drive-picker": "^1.2.2",
"react-i18next": "^15.4.0",
"react-markdown": "^9.0.1",
"react-redux": "^9.2.0",
@@ -9383,16 +9382,6 @@
"react": ">= 16.8 || 18.0.0"
}
},
"node_modules/react-google-drive-picker": {
"version": "1.2.2",
"resolved": "https://registry.npmjs.org/react-google-drive-picker/-/react-google-drive-picker-1.2.2.tgz",
"integrity": "sha512-x30mYkt9MIwPCgL+fyK75HZ8E6G5L/WGW0bfMG6kbD4NG2kmdlmV9oH5lPa6P6d46y9hj5Y3btAMrZd4JRRkSA==",
"license": "MIT",
"peerDependencies": {
"react": ">=17.0.0",
"react-dom": ">=17.0.0"
}
},
"node_modules/react-i18next": {
"version": "15.4.0",
"resolved": "https://registry.npmjs.org/react-i18next/-/react-i18next-15.4.0.tgz",

View File

@@ -32,7 +32,6 @@
"react-chartjs-2": "^5.3.0",
"react-dom": "^19.0.0",
"react-dropzone": "^14.3.8",
"react-google-drive-picker": "^1.2.2",
"react-i18next": "^15.4.0",
"react-markdown": "^9.0.1",
"react-redux": "^9.2.0",

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@@ -1,4 +0,0 @@
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" width="64" height="64" color="#000000" fill="none">
<path d="M3.49994 11.7501L11.6717 3.57855C12.7762 2.47398 14.5672 2.47398 15.6717 3.57855C16.7762 4.68312 16.7762 6.47398 15.6717 7.57855M15.6717 7.57855L9.49994 13.7501M15.6717 7.57855C16.7762 6.47398 18.5672 6.47398 19.6717 7.57855C20.7762 8.68312 20.7762 10.474 19.6717 11.5785L12.7072 18.543C12.3167 18.9335 12.3167 19.5667 12.7072 19.9572L13.9999 21.2499" stroke="currentColor" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round"></path>
<path d="M17.4999 9.74921L11.3282 15.921C10.2237 17.0255 8.43272 17.0255 7.32823 15.921C6.22373 14.8164 6.22373 13.0255 7.32823 11.921L13.4999 5.74939" stroke="currentColor" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round"></path>
</svg>

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Width:  |  Height:  |  Size: 831 B

View File

@@ -29,7 +29,7 @@ export default function Hero({
</div>
{/* Demo Buttons Section */}
<div className="mb-3 w-full max-w-full md:mb-3">
<div className="mb-8 w-full max-w-full md:mb-16">
<div className="grid grid-cols-1 gap-3 text-xs md:grid-cols-1 md:gap-4 lg:grid-cols-2">
{demos?.map(
(demo: { header: string; query: string }, key: number) =>

View File

@@ -10,7 +10,7 @@ import Add from './assets/add.svg';
import DocsGPT3 from './assets/cute_docsgpt3.svg';
import Discord from './assets/discord.svg';
import Expand from './assets/expand.svg';
import Github from './assets/git_nav.svg';
import Github from './assets/github.svg';
import Hamburger from './assets/hamburger.svg';
import openNewChat from './assets/openNewChat.svg';
import Pin from './assets/pin.svg';
@@ -568,8 +568,6 @@ export default function Navigation({ navOpen, setNavOpen }: NavigationProps) {
>
<img
src={Discord}
width={24}
height={24}
alt="Join Discord community"
className="m-2 w-6 self-center filter dark:invert"
/>
@@ -583,10 +581,8 @@ export default function Navigation({ navOpen, setNavOpen }: NavigationProps) {
>
<img
src={Twitter}
width={20}
height={20}
alt="Follow us on Twitter"
className="m-2 self-center filter dark:invert"
className="m-2 w-5 self-center filter dark:invert"
/>
</NavLink>
<NavLink
@@ -599,9 +595,7 @@ export default function Navigation({ navOpen, setNavOpen }: NavigationProps) {
<img
src={Github}
alt="View on GitHub"
width={28}
height={28}
className="m-2 self-center filter dark:invert"
className="m-2 w-6 self-center filter dark:invert"
/>
</NavLink>
</div>

View File

@@ -45,7 +45,6 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
description: '',
image: '',
source: '',
sources: [],
chunks: '',
retriever: '',
prompt_id: 'default',
@@ -151,41 +150,7 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
const formData = new FormData();
formData.append('name', agent.name);
formData.append('description', agent.description);
if (selectedSourceIds.size > 1) {
const sourcesArray = Array.from(selectedSourceIds)
.map((id) => {
const sourceDoc = sourceDocs?.find(
(source) =>
source.id === id || source.retriever === id || source.name === id,
);
if (sourceDoc?.name === 'Default' && !sourceDoc?.id) {
return 'default';
}
return sourceDoc?.id || id;
})
.filter(Boolean);
formData.append('sources', JSON.stringify(sourcesArray));
formData.append('source', '');
} else if (selectedSourceIds.size === 1) {
const singleSourceId = Array.from(selectedSourceIds)[0];
const sourceDoc = sourceDocs?.find(
(source) =>
source.id === singleSourceId ||
source.retriever === singleSourceId ||
source.name === singleSourceId,
);
let finalSourceId;
if (sourceDoc?.name === 'Default' && !sourceDoc?.id)
finalSourceId = 'default';
else finalSourceId = sourceDoc?.id || singleSourceId;
formData.append('source', String(finalSourceId));
formData.append('sources', JSON.stringify([]));
} else {
formData.append('source', '');
formData.append('sources', JSON.stringify([]));
}
formData.append('source', agent.source);
formData.append('chunks', agent.chunks);
formData.append('retriever', agent.retriever);
formData.append('prompt_id', agent.prompt_id);
@@ -231,41 +196,7 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
const formData = new FormData();
formData.append('name', agent.name);
formData.append('description', agent.description);
if (selectedSourceIds.size > 1) {
const sourcesArray = Array.from(selectedSourceIds)
.map((id) => {
const sourceDoc = sourceDocs?.find(
(source) =>
source.id === id || source.retriever === id || source.name === id,
);
if (sourceDoc?.name === 'Default' && !sourceDoc?.id) {
return 'default';
}
return sourceDoc?.id || id;
})
.filter(Boolean);
formData.append('sources', JSON.stringify(sourcesArray));
formData.append('source', '');
} else if (selectedSourceIds.size === 1) {
const singleSourceId = Array.from(selectedSourceIds)[0];
const sourceDoc = sourceDocs?.find(
(source) =>
source.id === singleSourceId ||
source.retriever === singleSourceId ||
source.name === singleSourceId,
);
let finalSourceId;
if (sourceDoc?.name === 'Default' && !sourceDoc?.id)
finalSourceId = 'default';
else finalSourceId = sourceDoc?.id || singleSourceId;
formData.append('source', String(finalSourceId));
formData.append('sources', JSON.stringify([]));
} else {
formData.append('source', '');
formData.append('sources', JSON.stringify([]));
}
formData.append('source', agent.source);
formData.append('chunks', agent.chunks);
formData.append('retriever', agent.retriever);
formData.append('prompt_id', agent.prompt_id);
@@ -362,33 +293,9 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
throw new Error('Failed to fetch agent');
}
const data = await response.json();
if (data.sources && data.sources.length > 0) {
const mappedSources = data.sources.map((sourceId: string) => {
if (sourceId === 'default') {
const defaultSource = sourceDocs?.find(
(source) => source.name === 'Default',
);
return defaultSource?.retriever || 'classic';
}
return sourceId;
});
setSelectedSourceIds(new Set(mappedSources));
} else if (data.source) {
if (data.source === 'default') {
const defaultSource = sourceDocs?.find(
(source) => source.name === 'Default',
);
setSelectedSourceIds(
new Set([defaultSource?.retriever || 'classic']),
);
} else {
setSelectedSourceIds(new Set([data.source]));
}
} else if (data.retriever) {
if (data.source) setSelectedSourceIds(new Set([data.source]));
else if (data.retriever)
setSelectedSourceIds(new Set([data.retriever]));
}
if (data.tools) setSelectedToolIds(new Set(data.tools));
if (data.status === 'draft') setEffectiveMode('draft');
if (data.json_schema) {
@@ -404,56 +311,24 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
}, [agentId, mode, token]);
useEffect(() => {
const selectedSources = Array.from(selectedSourceIds)
.map((id) =>
const selectedSource = Array.from(selectedSourceIds).map((id) =>
sourceDocs?.find(
(source) =>
source.id === id || source.retriever === id || source.name === id,
),
)
.filter(Boolean);
if (selectedSources.length > 0) {
// Handle multiple sources
if (selectedSources.length > 1) {
// Multiple sources selected - store in sources array
const sourceIds = selectedSources
.map((source) => source?.id)
.filter((id): id is string => Boolean(id));
);
if (selectedSource[0]?.model === embeddingsName) {
if (selectedSource[0] && 'id' in selectedSource[0]) {
setAgent((prev) => ({
...prev,
sources: sourceIds,
source: '', // Clear single source for multiple sources
source: selectedSource[0]?.id || 'default',
retriever: '',
}));
} else {
// Single source selected - maintain backward compatibility
const selectedSource = selectedSources[0];
if (selectedSource?.model === embeddingsName) {
if (selectedSource && 'id' in selectedSource) {
setAgent((prev) => ({
...prev,
source: selectedSource?.id || 'default',
sources: [], // Clear sources array for single source
retriever: '',
}));
} else {
} else
setAgent((prev) => ({
...prev,
source: '',
sources: [], // Clear sources array
retriever: selectedSource?.retriever || 'classic',
}));
}
}
}
} else {
// No sources selected
setAgent((prev) => ({
...prev,
source: '',
sources: [],
retriever: '',
retriever: selectedSource[0]?.retriever || 'classic',
}));
}
}, [selectedSourceIds]);
@@ -586,7 +461,7 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
onChange={(e) => setAgent({ ...agent, name: e.target.value })}
/>
<textarea
className="border-silver text-jet dark:bg-raisin-black dark:text-bright-gray dark:placeholder:text-silver mt-3 h-32 w-full rounded-xl border bg-white px-5 py-4 text-sm outline-hidden placeholder:text-gray-400 dark:border-[#7E7E7E]"
className="border-silver text-jet dark:bg-raisin-black dark:text-bright-gray dark:placeholder:text-silver mt-3 h-32 w-full rounded-3xl border bg-white px-5 py-4 text-sm outline-hidden placeholder:text-gray-400 dark:border-[#7E7E7E]"
placeholder="Describe your agent"
value={agent.description}
onChange={(e) =>
@@ -635,7 +510,7 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
)
.filter(Boolean)
.join(', ')
: 'Select sources'}
: 'Select source'}
</button>
<MultiSelectPopup
isOpen={isSourcePopupOpen}
@@ -651,10 +526,12 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
selectedIds={selectedSourceIds}
onSelectionChange={(newSelectedIds: Set<string | number>) => {
setSelectedSourceIds(newSelectedIds);
setIsSourcePopupOpen(false);
}}
title="Select Sources"
title="Select Source"
searchPlaceholder="Search sources..."
noOptionsMessage="No sources available"
noOptionsMessage="No source available"
singleSelect={true}
/>
</div>
<div className="mt-3">

View File

@@ -10,7 +10,6 @@ export type Agent = {
description: string;
image: string;
source: string;
sources?: string[];
chunks: string;
retriever: string;
prompt_id: string;

View File

@@ -57,10 +57,6 @@ const endpoints = {
DIRECTORY_STRUCTURE: (docId: string) =>
`/api/directory_structure?id=${docId}`,
MANAGE_SOURCE_FILES: '/api/manage_source_files',
MCP_TEST_CONNECTION: '/api/mcp_server/test',
MCP_SAVE_SERVER: '/api/mcp_server/save',
MCP_OAUTH_STATUS: (task_id: string) =>
`/api/mcp_server/oauth_status/${task_id}`,
},
CONVERSATION: {
ANSWER: '/api/answer',

View File

@@ -1,6 +1,6 @@
import { getSessionToken } from '../../utils/providerUtils';
import apiClient from '../client';
import endpoints from '../endpoints';
import { getSessionToken } from '../../utils/providerUtils';
const userService = {
getConfig: (): Promise<any> => apiClient.get(endpoints.USER.CONFIG, null),
@@ -90,10 +90,7 @@ const userService = {
path?: string,
search?: string,
): Promise<any> =>
apiClient.get(
endpoints.USER.GET_CHUNKS(docId, page, perPage, path, search),
token,
),
apiClient.get(endpoints.USER.GET_CHUNKS(docId, page, perPage, path, search), token),
addChunk: (data: any, token: string | null): Promise<any> =>
apiClient.post(endpoints.USER.ADD_CHUNK, data, token),
deleteChunk: (
@@ -108,26 +105,16 @@ const userService = {
apiClient.get(endpoints.USER.DIRECTORY_STRUCTURE(docId), token),
manageSourceFiles: (data: FormData, token: string | null): Promise<any> =>
apiClient.postFormData(endpoints.USER.MANAGE_SOURCE_FILES, data, token),
testMCPConnection: (data: any, token: string | null): Promise<any> =>
apiClient.post(endpoints.USER.MCP_TEST_CONNECTION, data, token),
saveMCPServer: (data: any, token: string | null): Promise<any> =>
apiClient.post(endpoints.USER.MCP_SAVE_SERVER, data, token),
getMCPOAuthStatus: (task_id: string, token: string | null): Promise<any> =>
apiClient.get(endpoints.USER.MCP_OAUTH_STATUS(task_id), token),
syncConnector: (
docId: string,
provider: string,
token: string | null,
): Promise<any> => {
syncConnector: (docId: string, provider: string, token: string | null): Promise<any> => {
const sessionToken = getSessionToken(provider);
return apiClient.post(
endpoints.USER.SYNC_CONNECTOR,
{
source_id: docId,
session_token: sessionToken,
provider: provider,
provider: provider
},
token,
token
);
},
};

View File

@@ -1 +1 @@
<svg width="16px" height="16px" viewBox="0 0 1024 1024" class="icon" version="1.1" xmlns="http://www.w3.org/2000/svg" fill="#11ee1c" stroke="#11ee1c" stroke-width="83.96799999999999"><g id="SVGRepo_bgCarrier" stroke-width="0"></g><g id="SVGRepo_tracerCarrier" stroke-linecap="round" stroke-linejoin="round"></g><g id="SVGRepo_iconCarrier"><path d="M866.133333 258.133333L362.666667 761.6l-204.8-204.8L98.133333 618.666667 362.666667 881.066667l563.2-563.2z" fill="#0C9D35"></path></g></svg>
<svg width="16px" height="16px" viewBox="0 0 1024 1024" class="icon" version="1.1" xmlns="http://www.w3.org/2000/svg" fill="#11ee1c" stroke="#11ee1c" stroke-width="83.96799999999999"><g id="SVGRepo_bgCarrier" stroke-width="0"></g><g id="SVGRepo_tracerCarrier" stroke-linecap="round" stroke-linejoin="round"></g><g id="SVGRepo_iconCarrier"><path d="M866.133333 258.133333L362.666667 761.6l-204.8-204.8L98.133333 618.666667 362.666667 881.066667l563.2-563.2z" fill="#11ee1c"></path></g></svg>

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After

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<path d="M16.304 8.62401L19.486 11.806C20.0023 12.3155 20.4128 12.922 20.6937 13.5908C20.9747 14.2596 21.1206 14.9773 21.123 15.7026C21.1254 16.428 20.9843 17.1467 20.7079 17.8173C20.4314 18.4879 20.025 19.0972 19.5121 19.6102C18.9992 20.1231 18.3899 20.5295 17.7193 20.8059C17.0486 21.0824 16.33 21.2235 15.6046 21.221C14.8792 21.2186 14.1615 21.0727 13.4928 20.7918C12.824 20.5108 12.2174 20.1003 11.708 19.584L10.648 18.524C10.5046 18.3857 10.3903 18.2202 10.3116 18.0373C10.2329 17.8543 10.1914 17.6575 10.1896 17.4583C10.1878 17.2592 10.2256 17.0616 10.301 16.8772C10.3763 16.6929 10.4876 16.5253 10.6284 16.3844C10.7691 16.2435 10.9366 16.1321 11.1209 16.0566C11.3052 15.9811 11.5027 15.943 11.7019 15.9446C11.901 15.9463 12.0979 15.9876 12.2809 16.0661C12.464 16.1446 12.6295 16.2588 12.768 16.402L13.83 17.463C14.2996 17.9284 14.9344 18.1888 15.5955 18.1873C16.2567 18.1857 16.8903 17.9224 17.3577 17.4548C17.8252 16.9872 18.0884 16.3535 18.0897 15.6924C18.0911 15.0312 17.8305 14.3965 17.365 13.927L14.183 10.745C13.839 10.4009 13.4022 10.1647 12.926 10.0652C12.4498 9.96574 11.9549 10.0074 11.502 10.185C11.3406 10.249 11.1893 10.3143 11.048 10.381L10.584 10.598C9.96396 10.878 9.48696 10.998 8.87996 10.392C8.00796 9.52001 8.23396 8.71501 9.29696 7.98201C10.3559 7.25337 11.6365 6.91862 12.9166 7.0359C14.1966 7.15318 15.3951 7.71508 16.304 8.62401ZM10.294 2.61401L11.354 3.67401C11.6273 3.95678 11.7787 4.33562 11.7755 4.72891C11.7722 5.12221 11.6147 5.49851 11.3367 5.77675C11.0587 6.055 10.6826 6.21293 10.2893 6.21653C9.89597 6.22013 9.517 6.06912 9.23396 5.79601L8.17296 4.73601C7.94241 4.49717 7.66661 4.30664 7.36163 4.17553C7.05666 4.04442 6.72863 3.97536 6.39668 3.97239C6.06474 3.96941 5.73552 4.03257 5.42824 4.15818C5.12097 4.2838 4.84179 4.46935 4.60699 4.70402C4.37219 4.93868 4.18648 5.21776 4.06069 5.52496C3.9349 5.83217 3.87155 6.16135 3.87434 6.4933C3.87713 6.82525 3.94601 7.15332 4.07694 7.45836C4.20788 7.76341 4.39825 8.03933 4.63696 8.27001L7.81896 11.452C8.16289 11.7961 8.59974 12.0323 9.07595 12.1318C9.55217 12.2313 10.0471 12.1896 10.5 12.012C10.6613 11.948 10.8126 11.8827 10.954 11.816L11.418 11.599C12.038 11.319 12.516 11.199 13.122 11.805C13.994 12.677 13.768 13.482 12.705 14.215C11.6461 14.9437 10.3654 15.2784 9.08537 15.1611C7.80535 15.0438 6.60683 14.4819 5.69796 13.573L2.51596 10.391C1.99962 9.88154 1.58916 9.27497 1.30821 8.60622C1.02726 7.93747 0.881367 7.21975 0.878937 6.49438C0.876507 5.76901 1.01759 5.05033 1.29405 4.37971C1.57052 3.70909 1.9769 3.09978 2.48982 2.58686C3.00273 2.07395 3.61204 1.66756 4.28266 1.3911C4.95328 1.11463 5.67196 0.973553 6.39733 0.975983C7.1227 0.978413 7.84042 1.1243 8.50917 1.40526C9.17793 1.68621 9.7845 2.09767 10.294 2.61401Z" fill="black"/>
</svg>

Before

Width:  |  Height:  |  Size: 2.8 KiB

View File

@@ -1,6 +1,5 @@
import React, { useRef } from 'react';
import { useSelector } from 'react-redux';
import { useDarkTheme } from '../hooks';
import { selectToken } from '../preferences/preferenceSlice';
interface ConnectorAuthProps {
@@ -8,24 +7,17 @@ interface ConnectorAuthProps {
onSuccess: (data: { session_token: string; user_email: string }) => void;
onError: (error: string) => void;
label?: string;
isConnected?: boolean;
userEmail?: string;
onDisconnect?: () => void;
errorMessage?: string;
}
const ConnectorAuth: React.FC<ConnectorAuthProps> = ({
provider,
onSuccess,
onError,
label,
isConnected = false,
userEmail = '',
onDisconnect,
errorMessage,
}) => {
const providerLabel = (provider: string) => {
const map: Record<string, string> = {
google_drive: 'Google Drive',
};
return map[provider] || provider.replace(/_/g, ' ');
};
const ConnectorAuth: React.FC<ConnectorAuthProps> = ({ provider, onSuccess, onError, label }) => {
const token = useSelector(selectToken);
const [isDarkTheme] = useDarkTheme();
const completedRef = useRef(false);
const intervalRef = useRef<number | null>(null);
@@ -39,8 +31,8 @@ const ConnectorAuth: React.FC<ConnectorAuthProps> = ({
const handleAuthMessage = (event: MessageEvent) => {
const successGeneric = event.data?.type === 'connector_auth_success';
const successProvider = event.data?.type === `${provider}_auth_success`;
const errorProvider = event.data?.type === `${provider}_auth_error`;
const successProvider = event.data?.type === `${provider}_auth_success` || event.data?.type === 'google_drive_auth_success';
const errorProvider = event.data?.type === `${provider}_auth_error` || event.data?.type === 'google_drive_auth_error';
if (successGeneric || successProvider) {
completedRef.current = true;
@@ -62,17 +54,12 @@ const ConnectorAuth: React.FC<ConnectorAuthProps> = ({
cleanup();
const apiHost = import.meta.env.VITE_API_HOST;
const authResponse = await fetch(
`${apiHost}/api/connectors/auth?provider=${provider}`,
{
const authResponse = await fetch(`${apiHost}/api/connectors/auth?provider=${provider}`, {
headers: { Authorization: `Bearer ${token}` },
},
);
});
if (!authResponse.ok) {
throw new Error(
`Failed to get authorization URL: ${authResponse.status}`,
);
throw new Error(`Failed to get authorization URL: ${authResponse.status}`);
}
const authData = await authResponse.json();
@@ -83,12 +70,10 @@ const ConnectorAuth: React.FC<ConnectorAuthProps> = ({
const authWindow = window.open(
authData.authorization_url,
`${provider}-auth`,
'width=500,height=600,scrollbars=yes,resizable=yes',
'width=500,height=600,scrollbars=yes,resizable=yes'
);
if (!authWindow) {
throw new Error(
'Failed to open authentication window. Please allow popups.',
);
throw new Error('Failed to open authentication window. Please allow popups.');
}
window.addEventListener('message', handleAuthMessage as any);
@@ -108,58 +93,20 @@ const ConnectorAuth: React.FC<ConnectorAuthProps> = ({
}
};
const buttonLabel = label || `Connect ${providerLabel(provider)}`;
return (
<>
{errorMessage && (
<div className="mb-4 flex items-center gap-2 rounded-lg border border-[#E60000] dark:border-[#D42626] bg-transparent dark:bg-[#D426261A] p-2">
<svg width="30" height="30" viewBox="0 0 30 30" fill="none" xmlns="http://www.w3.org/2000/svg">
<path d="M7.09974 24.5422H22.9C24.5156 24.5422 25.5228 22.7901 24.715 21.3947L16.8149 7.74526C16.007 6.34989 13.9927 6.34989 13.1848 7.74526L5.28471 21.3947C4.47686 22.7901 5.48405 24.5422 7.09974 24.5422ZM14.9998 17.1981C14.4228 17.1981 13.9507 16.726 13.9507 16.149V14.0507C13.9507 13.4736 14.4228 13.0015 14.9998 13.0015C15.5769 13.0015 16.049 13.4736 16.049 14.0507V16.149C16.049 16.726 15.5769 17.1981 14.9998 17.1981ZM16.049 21.3947H13.9507V19.2964H16.049V21.3947Z" fill={isDarkTheme ? '#EECF56' : '#E60000'} />
</svg>
<span className='text-[#E60000] dark:text-[#E37064] text-sm' style={{
fontFamily: 'Inter',
lineHeight: '100%'
}}>
{errorMessage}
</span>
</div>
)}
{isConnected ? (
<div className="mb-4">
<div className="w-full flex items-center justify-between rounded-[10px] bg-[#8FDD51] px-4 py-2 text-[#212121] font-medium text-sm">
<div className="flex items-center gap-2">
<svg className="h-4 w-4" viewBox="0 0 24 24">
<path fill="currentColor" d="M9 16.17L4.83 12l-1.42 1.41L9 19 21 7l-1.41-1.41z" />
</svg>
<span>Connected as {userEmail}</span>
</div>
{onDisconnect && (
<button
onClick={onDisconnect}
className="text-[#212121] hover:text-gray-700 font-medium text-xs underline"
>
Disconnect
</button>
)}
</div>
</div>
) : (
<button
onClick={handleAuth}
className="flex w-full items-center justify-center gap-2 rounded-lg bg-blue-500 px-4 py-3 text-white transition-colors hover:bg-blue-600"
className="w-full flex items-center justify-center gap-2 rounded-lg bg-blue-500 px-4 py-3 text-white hover:bg-blue-600 transition-colors"
>
<svg className="h-5 w-5" viewBox="0 0 24 24">
<path
fill="currentColor"
d="M6.28 3l5.72 10H24l-5.72-10H6.28zm11.44 0L12 13l5.72 10H24L18.28 3h-.56zM0 13l5.72 10h5.72L5.72 13H0z"
/>
<path fill="currentColor" d="M6.28 3l5.72 10H24l-5.72-10H6.28zm11.44 0L12 13l5.72 10H24L18.28 3h-.56zM0 13l5.72 10h5.72L5.72 13H0z"/>
</svg>
{label}
{buttonLabel}
</button>
)}
</>
);
};
export default ConnectorAuth;

View File

@@ -3,10 +3,8 @@ import { useTranslation } from 'react-i18next';
import { useSelector } from 'react-redux';
import { formatBytes } from '../utils/stringUtils';
import { selectToken } from '../preferences/preferenceSlice';
import { ActiveState } from '../models/misc';
import Chunks from './Chunks';
import ContextMenu, { MenuOption } from './ContextMenu';
import ConfirmationModal from '../modals/ConfirmationModal';
import userService from '../api/services/userService';
import FileIcon from '../assets/file.svg';
import FolderIcon from '../assets/folder.svg';
@@ -14,17 +12,7 @@ import ArrowLeft from '../assets/arrow-left.svg';
import ThreeDots from '../assets/three-dots.svg';
import EyeView from '../assets/eye-view.svg';
import SyncIcon from '../assets/sync.svg';
import CheckmarkIcon from '../assets/checkMark2.svg';
import { useOutsideAlerter } from '../hooks';
import {
Table,
TableContainer,
TableHead,
TableBody,
TableRow,
TableHeader,
TableCell,
} from './Table';
interface FileNode {
type?: string;
@@ -76,7 +64,6 @@ const ConnectorTreeComponent: React.FC<ConnectorTreeComponentProps> = ({
const [syncProgress, setSyncProgress] = useState<number>(0);
const [sourceProvider, setSourceProvider] = useState<string>('');
const [syncDone, setSyncDone] = useState<boolean>(false);
const [syncConfirmationModal, setSyncConfirmationModal] = useState<ActiveState>('INACTIVE');
useOutsideAlerter(
searchDropdownRef,
@@ -240,6 +227,8 @@ const ConnectorTreeComponent: React.FC<ConnectorTreeComponentProps> = ({
return current;
};
const getMenuRef = (id: string) => {
if (!menuRefs.current[id]) {
menuRefs.current[id] = React.createRef();
@@ -356,7 +345,7 @@ const ConnectorTreeComponent: React.FC<ConnectorTreeComponentProps> = ({
{/* Sync button */}
<button
onClick={() => setSyncConfirmationModal('ACTIVE')}
onClick={handleSync}
disabled={isSyncing}
className={`flex h-[38px] min-w-[108px] items-center justify-center rounded-full px-4 text-[14px] font-medium whitespace-nowrap transition-colors ${
isSyncing
@@ -372,7 +361,7 @@ const ConnectorTreeComponent: React.FC<ConnectorTreeComponentProps> = ({
}
>
<img
src={syncDone ? CheckmarkIcon : SyncIcon}
src={SyncIcon}
alt={t('settings.sources.sync')}
className={`mr-2 h-4 w-4 brightness-0 invert filter ${isSyncing ? 'animate-spin' : ''}`}
/>
@@ -387,35 +376,38 @@ const ConnectorTreeComponent: React.FC<ConnectorTreeComponentProps> = ({
);
};
const renderFileTree = (directory: DirectoryStructure): React.ReactNode[] => {
const renderFileTree = (directory: DirectoryStructure) => {
if (!directory) return [];
// Create parent directory row
const parentRow =
currentPath.length > 0
? [
<TableRow
<tr
key="parent-dir"
className="cursor-pointer border-b border-[#D1D9E0] hover:bg-[#ECEEEF] dark:border-[#6A6A6A] dark:hover:bg-[#27282D]"
onClick={navigateUp}
>
<TableCell width="40%" align="left">
<td className="px-2 py-2 lg:px-4">
<div className="flex items-center">
<img
src={FolderIcon}
alt={t('settings.sources.parentFolderAlt')}
className="mr-2 h-4 w-4 flex-shrink-0"
/>
<span className="truncate">
<span className="truncate text-sm dark:text-[#E0E0E0]">
..
</span>
</div>
</TableCell>
<TableCell width="30%" align="left">
</td>
<td className="px-2 py-2 text-sm lg:px-4 dark:text-[#E0E0E0]">
-
</TableCell>
<TableCell width="20%" align="left">
</td>
<td className="px-2 py-2 text-sm lg:px-4 dark:text-[#E0E0E0]">
-
</TableCell>
<TableCell width="10%" align="right"></TableCell>
</TableRow>,
</td>
<td className="w-10 px-2 py-2 text-sm lg:px-4"></td>
</tr>,
]
: [];
@@ -444,35 +436,36 @@ const ConnectorTreeComponent: React.FC<ConnectorTreeComponentProps> = ({
const dirStats = calculateDirectoryStats(node as DirectoryStructure);
return (
<TableRow
<tr
key={itemId}
className="cursor-pointer border-b border-[#D1D9E0] hover:bg-[#ECEEEF] dark:border-[#6A6A6A] dark:hover:bg-[#27282D]"
onClick={() => navigateToDirectory(name)}
>
<TableCell width="40%" align="left">
<td className="px-2 py-2 lg:px-4">
<div className="flex min-w-0 items-center">
<img
src={FolderIcon}
alt={t('settings.sources.folderAlt')}
className="mr-2 h-4 w-4 flex-shrink-0"
/>
<span className="truncate">
<span className="truncate text-sm dark:text-[#E0E0E0]">
{name}
</span>
</div>
</TableCell>
<TableCell width="30%" align="left">
</td>
<td className="px-2 py-2 text-sm lg:px-4 dark:text-[#E0E0E0]">
{dirStats.totalTokens > 0
? dirStats.totalTokens.toLocaleString()
: '-'}
</TableCell>
<TableCell width="20%" align="left">
</td>
<td className="px-2 py-2 text-sm lg:px-4 dark:text-[#E0E0E0]">
{dirStats.totalSize > 0 ? formatBytes(dirStats.totalSize) : '-'}
</TableCell>
<TableCell width="10%" align="right">
</td>
<td className="w-10 px-2 py-2 text-sm lg:px-4">
<div ref={menuRef} className="relative">
<button
onClick={(e) => handleMenuClick(e, itemId)}
className="inline-flex h-[35px] w-[24px] shrink-0 items-center justify-center rounded-md transition-colors hover:bg-[#EBEBEB] dark:hover:bg-[#26272E] font-medium"
className="inline-flex h-[35px] w-[24px] shrink-0 items-center justify-center rounded-md font-medium transition-colors hover:bg-[#EBEBEB] dark:hover:bg-[#26272E]"
aria-label={t('settings.sources.menuAlt')}
>
<img
@@ -492,8 +485,8 @@ const ConnectorTreeComponent: React.FC<ConnectorTreeComponentProps> = ({
offset={{ x: -4, y: 4 }}
/>
</div>
</TableCell>
</TableRow>
</td>
</tr>
);
});
@@ -505,29 +498,30 @@ const ConnectorTreeComponent: React.FC<ConnectorTreeComponentProps> = ({
const menuRef = getMenuRef(itemId);
return (
<TableRow
<tr
key={itemId}
className="cursor-pointer border-b border-[#D1D9E0] hover:bg-[#ECEEEF] dark:border-[#6A6A6A] dark:hover:bg-[#27282D]"
onClick={() => handleFileClick(name)}
>
<TableCell width="40%" align="left">
<td className="px-2 py-2 lg:px-4">
<div className="flex min-w-0 items-center">
<img
src={FileIcon}
alt={t('settings.sources.fileAlt')}
className="mr-2 h-4 w-4 flex-shrink-0"
/>
<span className="truncate">
<span className="truncate text-sm dark:text-[#E0E0E0]">
{name}
</span>
</div>
</TableCell>
<TableCell width="30%" align="left">
</td>
<td className="px-2 py-2 text-sm lg:px-4 dark:text-[#E0E0E0]">
{node.token_count?.toLocaleString() || '-'}
</TableCell>
<TableCell width="20%" align="left">
</td>
<td className="px-2 py-2 text-sm md:px-4 dark:text-[#E0E0E0]">
{node.size_bytes ? formatBytes(node.size_bytes) : '-'}
</TableCell>
<TableCell width="10%" align="right">
</td>
<td className="w-10 px-2 py-2 text-sm lg:px-4">
<div ref={menuRef} className="relative">
<button
onClick={(e) => handleMenuClick(e, itemId)}
@@ -551,8 +545,8 @@ const ConnectorTreeComponent: React.FC<ConnectorTreeComponentProps> = ({
offset={{ x: -4, y: 4 }}
/>
</div>
</TableCell>
</TableRow>
</td>
</tr>
);
});
@@ -710,45 +704,28 @@ const ConnectorTreeComponent: React.FC<ConnectorTreeComponentProps> = ({
<div className="mb-2">{renderPathNavigation()}</div>
<div className="w-full">
<TableContainer>
<Table>
<TableHead>
<TableRow>
<TableHeader width="40%" align="left">
<div className="overflow-x-auto rounded-[6px] border border-[#D1D9E0] dark:border-[#6A6A6A]">
<table className="w-full min-w-[600px] table-auto bg-transparent">
<thead className="bg-gray-100 dark:bg-[#27282D]">
<tr className="border-b border-[#D1D9E0] dark:border-[#6A6A6A]">
<th className="min-w-[200px] px-2 py-3 text-left text-sm font-medium text-gray-700 lg:px-4 dark:text-[#59636E]">
{t('settings.sources.fileName')}
</TableHeader>
<TableHeader width="30%" align="left">
</th>
<th className="min-w-[80px] px-2 py-3 text-left text-sm font-medium text-gray-700 lg:px-4 dark:text-[#59636E]">
{t('settings.sources.tokens')}
</TableHeader>
<TableHeader width="20%" align="left">
</th>
<th className="min-w-[80px] px-2 py-3 text-left text-sm font-medium text-gray-700 lg:px-4 dark:text-[#59636E]">
{t('settings.sources.size')}
</TableHeader>
<TableHeader width="10%" align="right">
<span className="sr-only">
{t('settings.sources.actions')}
</span>
</TableHeader>
</TableRow>
</TableHead>
<TableBody>
{renderFileTree(getCurrentDirectory())}
</TableBody>
</Table>
</TableContainer>
</th>
<th className="w-10 px-2 py-3 text-left text-sm font-medium text-gray-700 lg:px-4 dark:text-[#59636E]"></th>
</tr>
</thead>
<tbody>{renderFileTree(getCurrentDirectory())}</tbody>
</table>
</div>
</div>
</div>
)}
<ConfirmationModal
message={t('settings.sources.syncConfirmation', {
sourceName,
})}
modalState={syncConfirmationModal}
setModalState={setSyncConfirmationModal}
handleSubmit={handleSync}
submitLabel={t('settings.sources.sync')}
cancelLabel={t('cancel')}
/>
</div>
);
};

View File

@@ -1,469 +0,0 @@
import React, { useState, useEffect, useCallback, useRef } from 'react';
import { formatBytes } from '../utils/stringUtils';
import { formatDate } from '../utils/dateTimeUtils';
import { getSessionToken, setSessionToken, removeSessionToken } from '../utils/providerUtils';
import ConnectorAuth from '../components/ConnectorAuth';
import FileIcon from '../assets/file.svg';
import FolderIcon from '../assets/folder.svg';
import CheckIcon from '../assets/checkmark.svg';
import SearchIcon from '../assets/search.svg';
import Input from './Input';
import {
Table,
TableContainer,
TableHead,
TableBody,
TableRow,
TableHeader,
TableCell,
} from './Table';
interface CloudFile {
id: string;
name: string;
type: string;
size?: number;
modifiedTime: string;
isFolder?: boolean;
}
interface CloudFilePickerProps {
onSelectionChange: (selectedFileIds: string[], selectedFolderIds?: string[]) => void;
onDisconnect?: () => void;
provider: string;
token: string | null;
initialSelectedFiles?: string[];
initialSelectedFolders?: string[];
}
export const FilePicker: React.FC<CloudFilePickerProps> = ({
onSelectionChange,
onDisconnect,
provider,
token,
initialSelectedFiles = [],
}) => {
const PROVIDER_CONFIG = {
google_drive: {
displayName: 'Drive',
rootName: 'My Drive',
},
} as const;
const getProviderConfig = (provider: string) => {
return PROVIDER_CONFIG[provider as keyof typeof PROVIDER_CONFIG] || {
displayName: provider,
rootName: 'Root',
};
};
const [files, setFiles] = useState<CloudFile[]>([]);
const [selectedFiles, setSelectedFiles] = useState<string[]>(initialSelectedFiles);
const [selectedFolders, setSelectedFolders] = useState<string[]>([]);
const [isLoading, setIsLoading] = useState(false);
const [hasMoreFiles, setHasMoreFiles] = useState(false);
const [nextPageToken, setNextPageToken] = useState<string | null>(null);
const [currentFolderId, setCurrentFolderId] = useState<string | null>(null);
const [folderPath, setFolderPath] = useState<Array<{ id: string | null, name: string }>>([{
id: null,
name: getProviderConfig(provider).rootName
}]);
const [searchQuery, setSearchQuery] = useState<string>('');
const [authError, setAuthError] = useState<string>('');
const [isConnected, setIsConnected] = useState(false);
const [userEmail, setUserEmail] = useState<string>('');
const scrollContainerRef = useRef<HTMLDivElement>(null);
const searchTimeoutRef = useRef<ReturnType<typeof setTimeout> | null>(null);
const isFolder = (file: CloudFile) => {
return file.isFolder ||
file.type === 'application/vnd.google-apps.folder' ||
file.type === 'folder';
};
const loadCloudFiles = useCallback(
async (
sessionToken: string,
folderId: string | null,
pageToken?: string,
searchQuery: string = ''
) => {
setIsLoading(true);
const apiHost = import.meta.env.VITE_API_HOST;
if (!pageToken) {
setFiles([]);
}
try {
const response = await fetch(`${apiHost}/api/connectors/files`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${token}`
},
body: JSON.stringify({
provider: provider,
session_token: sessionToken,
folder_id: folderId,
limit: 10,
page_token: pageToken,
search_query: searchQuery
})
});
const data = await response.json();
if (data.success) {
setFiles(prev => pageToken ? [...prev, ...data.files] : data.files);
setNextPageToken(data.next_page_token);
setHasMoreFiles(!!data.next_page_token);
} else {
console.error('Error loading files:', data.error);
if (!pageToken) {
setFiles([]);
}
}
} catch (err) {
console.error('Error loading files:', err);
if (!pageToken) {
setFiles([]);
}
} finally {
setIsLoading(false);
}
},
[token, provider]
);
const validateAndLoadFiles = useCallback(async () => {
const sessionToken = getSessionToken(provider);
if (!sessionToken) {
setIsConnected(false);
return;
}
try {
const apiHost = import.meta.env.VITE_API_HOST;
const validateResponse = await fetch(`${apiHost}/api/connectors/validate-session`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${token}`
},
body: JSON.stringify({ provider: provider, session_token: sessionToken })
});
if (!validateResponse.ok) {
removeSessionToken(provider);
setIsConnected(false);
setAuthError('Session expired. Please reconnect to Google Drive.');
return;
}
const validateData = await validateResponse.json();
if (validateData.success) {
setUserEmail(validateData.user_email || 'Connected User');
setIsConnected(true);
setAuthError('');
setFiles([]);
setNextPageToken(null);
setHasMoreFiles(false);
setCurrentFolderId(null);
setFolderPath([{
id: null, name: getProviderConfig(provider).rootName
}]);
loadCloudFiles(sessionToken, null, undefined, '');
} else {
removeSessionToken(provider);
setIsConnected(false);
setAuthError(validateData.error || 'Session expired. Please reconnect your account.');
}
} catch (error) {
console.error('Error validating session:', error);
setAuthError('Failed to validate session. Please reconnect.');
setIsConnected(false);
}
}, [provider, token, loadCloudFiles]);
useEffect(() => {
validateAndLoadFiles();
}, [validateAndLoadFiles]);
const handleScroll = useCallback(() => {
const scrollContainer = scrollContainerRef.current;
if (!scrollContainer) return;
const { scrollTop, scrollHeight, clientHeight } = scrollContainer;
const isNearBottom = scrollHeight - scrollTop - clientHeight < 50;
if (isNearBottom && hasMoreFiles && !isLoading && nextPageToken) {
const sessionToken = getSessionToken(provider);
if (sessionToken) {
loadCloudFiles(sessionToken, currentFolderId, nextPageToken, searchQuery);
}
}
}, [hasMoreFiles, isLoading, nextPageToken, currentFolderId, searchQuery, provider, loadCloudFiles]);
useEffect(() => {
const scrollContainer = scrollContainerRef.current;
if (scrollContainer) {
scrollContainer.addEventListener('scroll', handleScroll);
return () => scrollContainer.removeEventListener('scroll', handleScroll);
}
}, [handleScroll]);
useEffect(() => {
return () => {
if (searchTimeoutRef.current) {
clearTimeout(searchTimeoutRef.current);
}
};
}, []);
const handleSearchChange = (query: string) => {
setSearchQuery(query);
if (searchTimeoutRef.current) {
clearTimeout(searchTimeoutRef.current);
}
searchTimeoutRef.current = setTimeout(() => {
const sessionToken = getSessionToken(provider);
if (sessionToken) {
loadCloudFiles(sessionToken, currentFolderId, undefined, query);
}
}, 300);
};
const handleFolderClick = (folderId: string, folderName: string) => {
if (folderId === currentFolderId) {
return;
}
setIsLoading(true);
setCurrentFolderId(folderId);
setFolderPath(prev => [...prev, { id: folderId, name: folderName }]);
setSearchQuery('');
const sessionToken = getSessionToken(provider);
if (sessionToken) {
loadCloudFiles(sessionToken, folderId, undefined, '');
}
};
const navigateBack = (index: number) => {
if (index >= folderPath.length - 1) return;
const newFolderPath = folderPath.slice(0, index + 1);
const newFolderId = newFolderPath[newFolderPath.length - 1].id;
setFolderPath(newFolderPath);
setCurrentFolderId(newFolderId);
setSearchQuery('');
const sessionToken = getSessionToken(provider);
if (sessionToken) {
loadCloudFiles(sessionToken, newFolderId, undefined, '');
}
};
const handleFileSelect = (fileId: string, isFolder: boolean) => {
if (isFolder) {
const newSelectedFolders = selectedFolders.includes(fileId)
? selectedFolders.filter(id => id !== fileId)
: [...selectedFolders, fileId];
setSelectedFolders(newSelectedFolders);
onSelectionChange(selectedFiles, newSelectedFolders);
} else {
const newSelectedFiles = selectedFiles.includes(fileId)
? selectedFiles.filter(id => id !== fileId)
: [...selectedFiles, fileId];
setSelectedFiles(newSelectedFiles);
onSelectionChange(newSelectedFiles, selectedFolders);
}
};
return (
<div className=''>
{authError && (
<div className="text-red-500 text-sm mb-4 text-center">{authError}</div>
)}
<ConnectorAuth
provider={provider}
onSuccess={(data) => {
setUserEmail(data.user_email || 'Connected User');
setIsConnected(true);
setAuthError('');
if (data.session_token) {
setSessionToken(provider, data.session_token);
loadCloudFiles(data.session_token, null);
}
}}
onError={(error) => {
setAuthError(error);
setIsConnected(false);
}}
isConnected={isConnected}
userEmail={userEmail}
onDisconnect={() => {
const sessionToken = getSessionToken(provider);
if (sessionToken) {
const apiHost = import.meta.env.VITE_API_HOST;
fetch(`${apiHost}/api/connectors/disconnect`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${token}`
},
body: JSON.stringify({ provider: provider, session_token: sessionToken })
}).catch(err => console.error(`Error disconnecting from ${getProviderConfig(provider).displayName}:`, err));
}
removeSessionToken(provider);
setIsConnected(false);
setFiles([]);
setSelectedFiles([]);
onSelectionChange([]);
if (onDisconnect) {
onDisconnect();
}
}}
/>
{isConnected && (
<div className="border border-[#D7D7D7] rounded-lg dark:border-[#6A6A6A] mt-3">
<div className="border-[#EEE6FF78] dark:border-[#6A6A6A] rounded-t-lg">
{/* Breadcrumb navigation */}
<div className="px-4 pt-4 bg-[#EEE6FF78] dark:bg-[#2A262E] rounded-t-lg">
<div className="flex items-center gap-1 mb-2">
{folderPath.map((path, index) => (
<div key={path.id || 'root'} className="flex items-center gap-1">
{index > 0 && <span className="text-gray-400">/</span>}
<button
onClick={() => navigateBack(index)}
className="text-sm text-[#A076F6] hover:text-[#8A5FD4] hover:underline"
disabled={index === folderPath.length - 1}
>
{path.name}
</button>
</div>
))}
</div>
<div className="mb-3 text-sm text-gray-600 dark:text-gray-400">
Select Files from {getProviderConfig(provider).displayName}
</div>
<div className="mb-3 max-w-md">
<Input
type="text"
placeholder="Search files and folders..."
value={searchQuery}
onChange={(e) => handleSearchChange(e.target.value)}
colorVariant="silver"
borderVariant="thin"
labelBgClassName="bg-[#EEE6FF78] dark:bg-[#2A262E]"
leftIcon={<img src={SearchIcon} alt="Search" width={16} height={16} />}
/>
</div>
{/* Selected Files Message */}
<div className="pb-3 text-sm text-gray-600 dark:text-gray-400">
{selectedFiles.length + selectedFolders.length} selected
</div>
</div>
<div className="h-72">
<TableContainer
ref={scrollContainerRef}
height="288px"
className="scrollbar-thin md:w-4xl lg:w-5xl"
bordered={false}
>
{(
<>
<Table minWidth="1200px">
<TableHead>
<TableRow>
<TableHeader width="40px"></TableHeader>
<TableHeader width="60%">Name</TableHeader>
<TableHeader width="20%">Last Modified</TableHeader>
<TableHeader width="20%">Size</TableHeader>
</TableRow>
</TableHead>
<TableBody>
{files.map((file, index) => (
<TableRow
key={`${file.id}-${index}`}
onClick={() => {
if (isFolder(file)) {
handleFolderClick(file.id, file.name);
} else {
handleFileSelect(file.id, false);
}
}}
>
<TableCell width="40px" align="center">
<div
className="flex h-5 w-5 text-sm shrink-0 items-center justify-center border border-[#EEE6FF78] p-[0.5px] dark:border-[#6A6A6A] cursor-pointer mx-auto"
onClick={(e) => {
e.stopPropagation();
handleFileSelect(file.id, isFolder(file));
}}
>
{(isFolder(file) ? selectedFolders : selectedFiles).includes(file.id) && (
<img
src={CheckIcon}
alt="Selected"
className="h-4 w-4"
/>
)}
</div>
</TableCell>
<TableCell>
<div className="flex items-center gap-3 min-w-0">
<div className="flex-shrink-0">
<img
src={isFolder(file) ? FolderIcon : FileIcon}
alt={isFolder(file) ? "Folder" : "File"}
className="h-6 w-6"
/>
</div>
<span className="truncate">{file.name}</span>
</div>
</TableCell>
<TableCell className='text-xs'>
{formatDate(file.modifiedTime)}
</TableCell>
<TableCell className='text-xs'>
{file.size ? formatBytes(file.size) : '-'}
</TableCell>
</TableRow>
))}
</TableBody>
</Table>
{isLoading && (
<div className="flex items-center justify-center p-4 border-t border-[#EEE6FF78] dark:border-[#6A6A6A]">
<div className="inline-flex items-center gap-2 text-sm text-gray-600 dark:text-gray-400">
<div className="h-4 w-4 animate-spin rounded-full border-2 border-blue-500 border-t-transparent"></div>
Loading more files...
</div>
</div>
)}
</>
)}
</TableContainer>
</div>
</div>
</div>
)}
</div>
);
};

View File

@@ -11,18 +11,11 @@ import FolderIcon from '../assets/folder.svg';
import ArrowLeft from '../assets/arrow-left.svg';
import ThreeDots from '../assets/three-dots.svg';
import EyeView from '../assets/eye-view.svg';
import OutlineSource from '../assets/outline-source.svg';
import Trash from '../assets/red-trash.svg';
import SearchIcon from '../assets/search.svg';
import { useOutsideAlerter } from '../hooks';
import ConfirmationModal from '../modals/ConfirmationModal';
import {
Table,
TableContainer,
TableHead,
TableBody,
TableRow,
TableHeader,
TableCell,
} from './Table';
interface FileNode {
type?: string;
@@ -136,6 +129,8 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
}
}, [docId, token]);
const navigateToDirectory = (dirName: string) => {
setCurrentPath((prev) => [...prev, dirName]);
};
@@ -443,18 +438,18 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
const renderPathNavigation = () => {
return (
<div className="mb-0 flex min-h-[38px] flex-col gap-2 text-base sm:flex-row sm:items-center sm:justify-between">
<div className="mb-0 min-h-[38px] flex flex-col gap-2 text-base sm:flex-row sm:items-center sm:justify-between">
{/* Left side with path navigation */}
<div className="flex w-full items-center sm:w-auto">
<button
className="mr-3 flex h-[29px] w-[29px] items-center justify-center rounded-full border p-2 text-sm font-medium text-gray-400 dark:border-0 dark:bg-[#28292D] dark:text-gray-500 dark:hover:bg-[#2E2F34]"
className="mr-3 flex h-[29px] w-[29px] items-center justify-center rounded-full border p-2 text-sm text-gray-400 dark:border-0 dark:bg-[#28292D] dark:text-gray-500 dark:hover:bg-[#2E2F34] font-medium"
onClick={handleBackNavigation}
>
<img src={ArrowLeft} alt="left-arrow" className="h-3 w-3" />
</button>
<div className="flex flex-wrap items-center">
<span className="font-semibold break-words text-[#7D54D1]">
<span className="text-[#7D54D1] font-semibold break-words">
{sourceName}
</span>
{currentPath.length > 0 && (
@@ -485,7 +480,8 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
</div>
</div>
<div className="relative mt-2 flex w-full flex-row flex-nowrap items-center justify-end gap-2 sm:mt-0 sm:w-auto">
<div className="flex relative flex-row flex-nowrap items-center gap-2 w-full sm:w-auto justify-end mt-2 sm:mt-0">
{processingRef.current && (
<div className="text-sm text-gray-500">
{currentOpRef.current === 'add'
@@ -500,7 +496,7 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
{!processingRef.current && (
<button
onClick={handleAddFile}
className="bg-purple-30 hover:bg-violets-are-blue flex h-[38px] min-w-[108px] items-center justify-center rounded-full px-4 text-[14px] font-medium whitespace-nowrap text-white"
className="bg-purple-30 hover:bg-violets-are-blue flex h-[38px] min-w-[108px] items-center justify-center rounded-full px-4 text-[14px] whitespace-nowrap text-white font-medium"
title={t('settings.sources.addFile')}
>
{t('settings.sources.addFile')}
@@ -542,30 +538,31 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
const parentRow =
currentPath.length > 0
? [
<TableRow
<tr
key="parent-dir"
className="cursor-pointer border-b border-[#D1D9E0] hover:bg-[#ECEEEF] dark:border-[#6A6A6A] dark:hover:bg-[#27282D]"
onClick={navigateUp}
>
<TableCell width="40%" align="left">
<td className="px-2 py-2 lg:px-4">
<div className="flex items-center">
<img
src={FolderIcon}
alt={t('settings.sources.parentFolderAlt')}
className="mr-2 h-4 w-4 flex-shrink-0"
/>
<span className="truncate">
<span className="truncate text-sm dark:text-[#E0E0E0]">
..
</span>
</div>
</TableCell>
<TableCell width="30%" align="left">
</td>
<td className="px-2 py-2 text-sm lg:px-4 dark:text-[#E0E0E0]">
-
</TableCell>
<TableCell width="20%" align="right">
</td>
<td className="px-2 py-2 text-sm lg:px-4 dark:text-[#E0E0E0]">
-
</TableCell>
<TableCell width="10%" align="right"></TableCell>
</TableRow>,
</td>
<td className="w-10 px-2 py-2 text-sm lg:px-4"></td>
</tr>,
]
: [];
@@ -578,35 +575,36 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
const dirStats = calculateDirectoryStats(node as DirectoryStructure);
return (
<TableRow
<tr
key={itemId}
className="cursor-pointer border-b border-[#D1D9E0] hover:bg-[#ECEEEF] dark:border-[#6A6A6A] dark:hover:bg-[#27282D]"
onClick={() => navigateToDirectory(name)}
>
<TableCell width="40%" align="left">
<td className="px-2 py-2 lg:px-4">
<div className="flex min-w-0 items-center">
<img
src={FolderIcon}
alt={t('settings.sources.folderAlt')}
className="mr-2 h-4 w-4 flex-shrink-0"
/>
<span className="truncate">
<span className="truncate text-sm dark:text-[#E0E0E0]">
{name}
</span>
</div>
</TableCell>
<TableCell width="30%" align="left">
{dirStats.totalSize > 0 ? formatBytes(dirStats.totalSize) : '-'}
</TableCell>
<TableCell width="20%" align="right">
</td>
<td className="px-2 py-2 text-sm lg:px-4 dark:text-[#E0E0E0]">
{dirStats.totalTokens > 0
? dirStats.totalTokens.toLocaleString()
: '-'}
</TableCell>
<TableCell width="10%" align="right">
</td>
<td className="px-2 py-2 text-sm lg:px-4 dark:text-[#E0E0E0]">
{dirStats.totalSize > 0 ? formatBytes(dirStats.totalSize) : '-'}
</td>
<td className="w-10 px-2 py-2 text-sm lg:px-4">
<div ref={menuRef} className="relative">
<button
onClick={(e) => handleMenuClick(e, itemId)}
className="inline-flex h-[35px] w-[24px] shrink-0 items-center justify-center rounded-md font-medium transition-colors hover:bg-[#EBEBEB] dark:hover:bg-[#26272E]"
className="inline-flex h-[35px] w-[24px] shrink-0 items-center justify-center rounded-md transition-colors hover:bg-[#EBEBEB] dark:hover:bg-[#26272E] font-medium"
aria-label={t('settings.sources.menuAlt')}
>
<img
@@ -626,8 +624,8 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
offset={{ x: -4, y: 4 }}
/>
</div>
</TableCell>
</TableRow>
</td>
</tr>
);
}),
...files.map(([name, node]) => {
@@ -635,33 +633,34 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
const menuRef = getMenuRef(itemId);
return (
<TableRow
<tr
key={itemId}
className="cursor-pointer border-b border-[#D1D9E0] hover:bg-[#ECEEEF] dark:border-[#6A6A6A] dark:hover:bg-[#27282D]"
onClick={() => handleFileClick(name)}
>
<TableCell width="40%" align="left">
<td className="px-2 py-2 lg:px-4">
<div className="flex min-w-0 items-center">
<img
src={FileIcon}
alt={t('settings.sources.fileAlt')}
className="mr-2 h-4 w-4 flex-shrink-0"
/>
<span className="truncate">
<span className="truncate text-sm dark:text-[#E0E0E0]">
{name}
</span>
</div>
</TableCell>
<TableCell width="30%" align="left">
{node.size_bytes ? formatBytes(node.size_bytes) : '-'}
</TableCell>
<TableCell width="20%" align="right">
</td>
<td className="px-2 py-2 text-sm lg:px-4 dark:text-[#E0E0E0]">
{node.token_count?.toLocaleString() || '-'}
</TableCell>
<TableCell width="10%" align="right">
</td>
<td className="px-2 py-2 text-sm md:px-4 dark:text-[#E0E0E0]">
{node.size_bytes ? formatBytes(node.size_bytes) : '-'}
</td>
<td className="w-10 px-2 py-2 text-sm lg:px-4">
<div ref={menuRef} className="relative">
<button
onClick={(e) => handleMenuClick(e, itemId)}
className="inline-flex h-[35px] w-[24px] shrink-0 items-center justify-center rounded-md font-medium transition-colors hover:bg-[#EBEBEB] dark:hover:bg-[#26272E]"
className="inline-flex h-[35px] w-[24px] shrink-0 items-center justify-center rounded-md transition-colors hover:bg-[#EBEBEB] dark:hover:bg-[#26272E] font-medium"
aria-label={t('settings.sources.menuAlt')}
>
<img
@@ -681,8 +680,8 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
offset={{ x: -4, y: 4 }}
/>
</div>
</TableCell>
</TableRow>
</td>
</tr>
);
}),
];
@@ -753,12 +752,14 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
}
}}
placeholder={t('settings.sources.searchFiles')}
className={`h-[38px] w-full border border-[#D1D9E0] px-4 py-2 dark:border-[#6A6A6A] ${searchQuery ? 'rounded-t-[24px]' : 'rounded-[24px]'} bg-transparent focus:outline-none dark:text-[#E0E0E0]`}
className={`w-full h-[38px] border border-[#D1D9E0] px-4 py-2 dark:border-[#6A6A6A]
${searchQuery ? 'rounded-t-[24px]' : 'rounded-[24px]'}
bg-transparent focus:outline-none dark:text-[#E0E0E0]`}
/>
{searchQuery && (
<div className="absolute top-full right-0 left-0 z-10 max-h-[calc(100vh-200px)] w-full overflow-hidden rounded-b-[12px] border border-t-0 border-[#D1D9E0] bg-white shadow-lg transition-all duration-200 dark:border-[#6A6A6A] dark:bg-[#1F2023]">
<div className="max-h-[calc(100vh-200px)] overflow-x-hidden overflow-y-auto overscroll-contain">
<div className="absolute top-full left-0 right-0 z-10 max-h-[calc(100vh-200px)] w-full overflow-hidden rounded-b-[12px] border border-t-0 border-[#D1D9E0] bg-white shadow-lg dark:border-[#6A6A6A] dark:bg-[#1F2023] transition-all duration-200">
<div className="max-h-[calc(100vh-200px)] overflow-y-auto overflow-x-hidden overscroll-contain">
{searchResults.length === 0 ? (
<div className="py-2 text-center text-sm text-gray-500 dark:text-gray-400">
{t('settings.sources.noResults')}
@@ -769,8 +770,7 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
key={index}
onClick={() => handleSearchSelect(result)}
title={result.path}
className={`flex min-w-0 cursor-pointer items-center px-3 py-2 hover:bg-[#ECEEEF] dark:hover:bg-[#27282D] ${
index !== searchResults.length - 1
className={`flex min-w-0 cursor-pointer items-center px-3 py-2 hover:bg-[#ECEEEF] dark:hover:bg-[#27282D] ${index !== searchResults.length - 1
? 'border-b border-[#D1D9E0] dark:border-[#6A6A6A]'
: ''
}`}
@@ -784,7 +784,7 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
}
className="mr-2 h-4 w-4 flex-shrink-0"
/>
<span className="flex-1 truncate text-sm dark:text-[#E0E0E0]">
<span className="text-sm dark:text-[#E0E0E0] truncate flex-1">
{result.path.split('/').pop() || result.path}
</span>
</div>
@@ -834,31 +834,31 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
<div className="mb-2">{renderPathNavigation()}</div>
<div className="w-full">
<TableContainer>
<Table>
<TableHead>
<TableRow>
<TableHeader width="40%" align="left">
<div className="overflow-x-auto rounded-[6px] border border-[#D1D9E0] dark:border-[#6A6A6A]">
<table className="w-full min-w-[600px] table-auto bg-transparent">
<thead className="bg-gray-100 dark:bg-[#27282D]">
<tr className="border-b border-[#D1D9E0] dark:border-[#6A6A6A]">
<th className="min-w-[200px] px-2 py-3 text-left text-sm font-medium text-gray-700 lg:px-4 dark:text-[#59636E]">
{t('settings.sources.fileName')}
</TableHeader>
<TableHeader width="30%" align="left">
{t('settings.sources.size')}
</TableHeader>
<TableHeader width="20%" align="right">
</th>
<th className="min-w-[80px] px-2 py-3 text-left text-sm font-medium text-gray-700 lg:px-4 dark:text-[#59636E]">
{t('settings.sources.tokens')}
</TableHeader>
<TableHeader width="10%" align="right">
</th>
<th className="min-w-[80px] px-2 py-3 text-left text-sm font-medium text-gray-700 lg:px-4 dark:text-[#59636E]">
{t('settings.sources.size')}
</th>
<th className="w-[60px] px-2 py-3 text-left text-sm font-medium text-gray-700 lg:px-4 dark:text-[#59636E]">
<span className="sr-only">
{t('settings.sources.actions')}
</span>
</TableHeader>
</TableRow>
</TableHead>
<TableBody>
</th>
</tr>
</thead>
<tbody className="[&>tr:last-child]:border-b-0">
{renderFileTree(currentDirectory)}
</TableBody>
</Table>
</TableContainer>
</tbody>
</table>
</div>
</div>
</div>
)}
@@ -866,9 +866,7 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
message={
itemToDelete?.isFile
? t('settings.sources.confirmDelete')
: t('settings.sources.deleteDirectoryWarning', {
name: itemToDelete?.name,
})
: t('settings.sources.deleteDirectoryWarning', { name: itemToDelete?.name })
}
modalState={deleteModalState}
setModalState={setDeleteModalState}

View File

@@ -1,342 +0,0 @@
import React, { useState, useEffect } from 'react';
import useDrivePicker from 'react-google-drive-picker';
import ConnectorAuth from './ConnectorAuth';
import { getSessionToken, setSessionToken, removeSessionToken } from '../utils/providerUtils';
interface PickerFile {
id: string;
name: string;
mimeType: string;
iconUrl: string;
description?: string;
sizeBytes?: string;
}
interface GoogleDrivePickerProps {
token: string | null;
onSelectionChange: (fileIds: string[], folderIds?: string[]) => void;
}
const GoogleDrivePicker: React.FC<GoogleDrivePickerProps> = ({
token,
onSelectionChange,
}) => {
const [selectedFiles, setSelectedFiles] = useState<PickerFile[]>([]);
const [selectedFolders, setSelectedFolders] = useState<PickerFile[]>([]);
const [isLoading, setIsLoading] = useState(false);
const [userEmail, setUserEmail] = useState<string>('');
const [isConnected, setIsConnected] = useState(false);
const [authError, setAuthError] = useState<string>('');
const [accessToken, setAccessToken] = useState<string | null>(null);
const [isValidating, setIsValidating] = useState(false);
const [openPicker] = useDrivePicker();
useEffect(() => {
const sessionToken = getSessionToken('google_drive');
if (sessionToken) {
setIsValidating(true);
setIsConnected(true); // Optimistically set as connected for skeleton
validateSession(sessionToken);
}
}, [token]);
const validateSession = async (sessionToken: string) => {
try {
const apiHost = import.meta.env.VITE_API_HOST;
const validateResponse = await fetch(`${apiHost}/api/connectors/validate-session`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${token}`
},
body: JSON.stringify({ provider: 'google_drive', session_token: sessionToken })
});
if (!validateResponse.ok) {
setIsConnected(false);
setAuthError('Session expired. Please reconnect to Google Drive.');
setIsValidating(false);
return false;
}
const validateData = await validateResponse.json();
if (validateData.success) {
setUserEmail(validateData.user_email || 'Connected User');
setIsConnected(true);
setAuthError('');
setAccessToken(validateData.access_token || null);
setIsValidating(false);
return true;
} else {
setIsConnected(false);
setAuthError(validateData.error || 'Session expired. Please reconnect your account.');
setIsValidating(false);
return false;
}
} catch (error) {
console.error('Error validating session:', error);
setAuthError('Failed to validate session. Please reconnect.');
setIsConnected(false);
setIsValidating(false);
return false;
}
};
const handleOpenPicker = async () => {
setIsLoading(true);
const sessionToken = getSessionToken('google_drive');
if (!sessionToken) {
setAuthError('No valid session found. Please reconnect to Google Drive.');
setIsLoading(false);
return;
}
if (!accessToken) {
setAuthError('No access token available. Please reconnect to Google Drive.');
setIsLoading(false);
return;
}
try {
const clientId: string = import.meta.env.VITE_GOOGLE_CLIENT_ID;
// Derive appId from clientId (extract numeric part before first dash)
const appId = clientId ? clientId.split('-')[0] : null;
if (!clientId || !appId) {
console.error('Missing Google Drive configuration');
setIsLoading(false);
return;
}
openPicker({
clientId: clientId,
developerKey: "",
appId: appId,
setSelectFolderEnabled: false,
viewId: "DOCS",
showUploadView: false,
showUploadFolders: false,
supportDrives: false,
multiselect: true,
token: accessToken,
viewMimeTypes: 'application/vnd.google-apps.document,application/vnd.google-apps.presentation,application/vnd.google-apps.spreadsheet,application/pdf,application/vnd.openxmlformats-officedocument.wordprocessingml.document,application/vnd.openxmlformats-officedocument.presentationml.presentation,application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,application/msword,application/vnd.ms-powerpoint,application/vnd.ms-excel,text/plain,text/csv,text/html,text/markdown,text/x-rst,application/json,application/epub+zip,application/rtf,image/jpeg,image/jpg,image/png',
callbackFunction: (data:any) => {
setIsLoading(false);
if (data.action === 'picked') {
const docs = data.docs;
const newFiles: PickerFile[] = [];
const newFolders: PickerFile[] = [];
docs.forEach((doc: any) => {
const item = {
id: doc.id,
name: doc.name,
mimeType: doc.mimeType,
iconUrl: doc.iconUrl || '',
description: doc.description,
sizeBytes: doc.sizeBytes
};
if (doc.mimeType === 'application/vnd.google-apps.folder') {
newFolders.push(item);
} else {
newFiles.push(item);
}
});
setSelectedFiles(prevFiles => {
const existingFileIds = new Set(prevFiles.map(file => file.id));
const uniqueNewFiles = newFiles.filter(file => !existingFileIds.has(file.id));
return [...prevFiles, ...uniqueNewFiles];
});
setSelectedFolders(prevFolders => {
const existingFolderIds = new Set(prevFolders.map(folder => folder.id));
const uniqueNewFolders = newFolders.filter(folder => !existingFolderIds.has(folder.id));
return [...prevFolders, ...uniqueNewFolders];
});
onSelectionChange(
[...selectedFiles, ...newFiles].map(file => file.id),
[...selectedFolders, ...newFolders].map(folder => folder.id)
);
}
},
});
} catch (error) {
console.error('Error opening picker:', error);
setAuthError('Failed to open file picker. Please try again.');
setIsLoading(false);
}
};
const handleDisconnect = async () => {
const sessionToken = getSessionToken('google_drive');
if (sessionToken) {
try {
const apiHost = import.meta.env.VITE_API_HOST;
await fetch(`${apiHost}/api/connectors/disconnect`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${token}`
},
body: JSON.stringify({ provider: 'google_drive', session_token: sessionToken })
});
} catch (err) {
console.error('Error disconnecting from Google Drive:', err);
}
}
removeSessionToken('google_drive');
setIsConnected(false);
setSelectedFiles([]);
setSelectedFolders([]);
setAccessToken(null);
setUserEmail('');
setAuthError('');
onSelectionChange([], []);
};
const ConnectedStateSkeleton = () => (
<div className="mb-4">
<div className="w-full flex items-center justify-between rounded-[10px] bg-gray-200 dark:bg-gray-700 px-4 py-2 animate-pulse">
<div className="flex items-center gap-2">
<div className="h-4 w-4 bg-gray-300 dark:bg-gray-600 rounded"></div>
<div className="h-4 w-32 bg-gray-300 dark:bg-gray-600 rounded"></div>
</div>
<div className="h-4 w-16 bg-gray-300 dark:bg-gray-600 rounded"></div>
</div>
</div>
);
const FilesSectionSkeleton = () => (
<div className="border border-[#EEE6FF78] rounded-lg dark:border-[#6A6A6A]">
<div className="p-4">
<div className="flex justify-between items-center mb-4">
<div className="h-5 w-24 bg-gray-200 dark:bg-gray-700 rounded animate-pulse"></div>
<div className="h-8 w-24 bg-gray-200 dark:bg-gray-700 rounded animate-pulse"></div>
</div>
<div className="h-4 w-40 bg-gray-200 dark:bg-gray-700 rounded animate-pulse"></div>
</div>
</div>
);
return (
<div>
{isValidating ? (
<>
<ConnectedStateSkeleton />
<FilesSectionSkeleton />
</>
) : (
<>
<ConnectorAuth
provider="google_drive"
label="Connect to Google Drive"
onSuccess={(data) => {
setUserEmail(data.user_email || 'Connected User');
setIsConnected(true);
setAuthError('');
if (data.session_token) {
setSessionToken('google_drive', data.session_token);
validateSession(data.session_token);
}
}}
onError={(error) => {
setAuthError(error);
setIsConnected(false);
}}
isConnected={isConnected}
userEmail={userEmail}
onDisconnect={handleDisconnect}
errorMessage={authError}
/>
{isConnected && (
<div className="border border-[#EEE6FF78] rounded-lg dark:border-[#6A6A6A]">
<div className="p-4">
<div className="flex justify-between items-center mb-4">
<h3 className="text-sm font-medium">Selected Files</h3>
<button
onClick={() => handleOpenPicker()}
className="bg-[#A076F6] hover:bg-[#8A5FD4] text-white text-sm py-1 px-3 rounded-md"
disabled={isLoading}
>
{isLoading ? 'Loading...' : 'Select Files'}
</button>
</div>
{selectedFiles.length === 0 && selectedFolders.length === 0 ? (
<p className="text-gray-600 dark:text-gray-400 text-sm">No files or folders selected</p>
) : (
<div className="max-h-60 overflow-y-auto">
{selectedFolders.length > 0 && (
<div className="mb-2">
<h4 className="text-xs font-medium text-gray-500 mb-1">Folders</h4>
{selectedFolders.map((folder) => (
<div key={folder.id} className="flex items-center p-2 border-b border-gray-200 dark:border-gray-700">
<img src={folder.iconUrl} alt="Folder" className="w-5 h-5 mr-2" />
<span className="text-sm truncate flex-1">{folder.name}</span>
<button
onClick={() => {
const newSelectedFolders = selectedFolders.filter(f => f.id !== folder.id);
setSelectedFolders(newSelectedFolders);
onSelectionChange(
selectedFiles.map(f => f.id),
newSelectedFolders.map(f => f.id)
);
}}
className="text-red-500 hover:text-red-700 text-sm ml-2"
>
Remove
</button>
</div>
))}
</div>
)}
{selectedFiles.length > 0 && (
<div>
<h4 className="text-xs font-medium text-gray-500 mb-1">Files</h4>
{selectedFiles.map((file) => (
<div key={file.id} className="flex items-center p-2 border-b border-gray-200 dark:border-gray-700">
<img src={file.iconUrl} alt="File" className="w-5 h-5 mr-2" />
<span className="text-sm truncate flex-1">{file.name}</span>
<button
onClick={() => {
const newSelectedFiles = selectedFiles.filter(f => f.id !== file.id);
setSelectedFiles(newSelectedFiles);
onSelectionChange(
newSelectedFiles.map(f => f.id),
selectedFolders.map(f => f.id)
);
}}
className="text-red-500 hover:text-red-700 text-sm ml-2"
>
Remove
</button>
</div>
))}
</div>
)}
</div>
)}
</div>
</div>
)}
</>
)}
</div>
);
};
export default GoogleDrivePicker;

View File

@@ -16,7 +16,6 @@ const Input = ({
textSize = 'medium',
children,
labelBgClassName = 'bg-white dark:bg-raisin-black',
leftIcon,
onChange,
onPaste,
onKeyDown,
@@ -43,7 +42,7 @@ const Input = ({
<div className={`relative ${className}`}>
<input
ref={inputRef}
className={`peer text-jet dark:text-bright-gray h-[42px] w-full rounded-full bg-transparent ${leftIcon ? 'pl-10' : 'px-3'} py-1 placeholder-transparent outline-hidden ${colorStyles[colorVariant]} ${borderStyles[borderVariant]} ${textSizeStyles[textSize]} [&:-webkit-autofill]:appearance-none [&:-webkit-autofill]:bg-transparent [&:-webkit-autofill_selected]:bg-transparent`}
className={`peer text-jet dark:text-bright-gray h-[42px] w-full rounded-full bg-transparent px-3 py-1 placeholder-transparent outline-hidden ${colorStyles[colorVariant]} ${borderStyles[borderVariant]} ${textSizeStyles[textSize]} [&:-webkit-autofill]:appearance-none [&:-webkit-autofill]:bg-transparent [&:-webkit-autofill_selected]:bg-transparent`}
type={type}
id={id}
name={name}
@@ -58,19 +57,12 @@ const Input = ({
>
{children}
</input>
{leftIcon && (
<div className="absolute left-3 top-1/2 transform -translate-y-1/2 flex items-center justify-center">
{leftIcon}
</div>
)}
{placeholder && (
<label
htmlFor={id}
className={`absolute select-none ${
hasValue ? '-top-2.5 left-3 text-xs' : ''
} px-2 transition-all peer-placeholder-shown:top-2.5 ${
leftIcon ? 'peer-placeholder-shown:left-7' : 'peer-placeholder-shown:left-3'
} peer-placeholder-shown:${
} px-2 transition-all peer-placeholder-shown:top-2.5 peer-placeholder-shown:left-3 peer-placeholder-shown:${
textSizeStyles[textSize]
} text-gray-4000 pointer-events-none cursor-none peer-focus:-top-2.5 peer-focus:left-3 peer-focus:text-xs dark:text-gray-400 ${labelBgClassName} max-w-[calc(100%-24px)] overflow-hidden text-ellipsis whitespace-nowrap`}
>

View File

@@ -259,7 +259,7 @@ export default function MessageInput({
return (
<div className="mx-2 flex w-full flex-col">
<div className="border-dark-gray bg-lotion dark:border-grey relative flex w-full flex-col rounded-[23px] border dark:bg-transparent">
<div className="flex flex-wrap gap-1.5 px-2 py-2 sm:gap-2 sm:px-3">
<div className="flex flex-wrap gap-1.5 px-4 pt-3 pb-0 sm:gap-2 sm:px-6">
{attachments.map((attachment, index) => (
<div
key={index}
@@ -353,14 +353,14 @@ export default function MessageInput({
onChange={handleChange}
tabIndex={1}
placeholder={t('inputPlaceholder')}
className="inputbox-style no-scrollbar bg-lotion dark:text-bright-gray dark:placeholder:text-bright-gray/50 w-full overflow-x-hidden overflow-y-auto rounded-t-[23px] px-2 text-base leading-tight whitespace-pre-wrap opacity-100 placeholder:text-gray-500 focus:outline-hidden sm:px-3 dark:bg-transparent"
className="inputbox-style no-scrollbar bg-lotion dark:text-bright-gray dark:placeholder:text-bright-gray/50 w-full overflow-x-hidden overflow-y-auto rounded-t-[23px] px-4 py-3 text-base leading-tight whitespace-pre-wrap opacity-100 placeholder:text-gray-500 focus:outline-hidden sm:px-6 sm:py-5 dark:bg-transparent"
onInput={handleInput}
onKeyDown={handleKeyDown}
aria-label={t('inputPlaceholder')}
/>
</div>
<div className="flex items-center px-2 pb-1.5 sm:px-3 sm:pb-2">
<div className="flex items-center px-3 py-1.5 sm:px-4 sm:py-2">
<div className="flex grow flex-wrap gap-1 sm:gap-2">
{showSourceButton && (
<button
@@ -368,8 +368,8 @@ export default function MessageInput({
className="xs:px-3 xs:py-1.5 dark:border-purple-taupe flex max-w-[130px] items-center rounded-[32px] border border-[#AAAAAA] px-2 py-1 transition-colors hover:bg-gray-100 sm:max-w-[150px] dark:hover:bg-[#2C2E3C]"
onClick={() => setIsSourcesPopupOpen(!isSourcesPopupOpen)}
title={
selectedDocs && selectedDocs.length > 0
? selectedDocs.map((doc) => doc.name).join(', ')
selectedDocs
? selectedDocs.name
: t('conversation.sources.title')
}
>
@@ -379,10 +379,8 @@ export default function MessageInput({
className="mr-1 h-3.5 w-3.5 shrink-0 sm:mr-1.5 sm:h-4"
/>
<span className="xs:text-[12px] dark:text-bright-gray truncate overflow-hidden text-[10px] font-medium text-[#5D5D5D] sm:text-[14px]">
{selectedDocs && selectedDocs.length > 0
? selectedDocs.length === 1
? selectedDocs[0].name
: `${selectedDocs.length} sources selected`
{selectedDocs
? selectedDocs.name
: t('conversation.sources.title')}
</span>
{!isTouch && (
@@ -430,18 +428,18 @@ export default function MessageInput({
<button
onClick={loading ? undefined : handleSubmit}
aria-label={loading ? t('loading') : t('send')}
className={`flex h-7 w-7 items-center justify-center rounded-full sm:h-9 sm:w-9 ${loading || !value.trim() ? 'bg-black opacity-60 dark:bg-[#F0F3F4] dark:opacity-80' : 'bg-black opacity-100 dark:bg-[#F0F3F4]'} ml-auto shrink-0`}
className={`flex items-center justify-center rounded-full p-2 sm:p-2.5 ${loading ? 'bg-gray-300 dark:bg-gray-600' : 'bg-black dark:bg-white'} ml-auto shrink-0`}
disabled={loading}
>
{loading ? (
<img
src={isDarkTheme ? SpinnerDark : Spinner}
className="mx-auto my-auto block h-3.5 w-3.5 animate-spin sm:h-4 sm:w-4"
className="h-3.5 w-3.5 animate-spin sm:h-4 sm:w-4"
alt={t('loading')}
/>
) : (
<img
className={`mx-auto my-auto block h-3.5 w-3.5 translate-x-[-0.9px] translate-y-[1.1px] sm:h-4 sm:w-4 ${isDarkTheme ? 'invert filter' : ''}`}
className={`h-3.5 w-3.5 sm:h-4 sm:w-4 ${isDarkTheme ? 'invert filter' : ''}`}
src={PaperPlane}
alt={t('send')}
/>

View File

@@ -248,7 +248,7 @@ export default function MultiSelectPopup({
</div>
<div className="shrink-0">
<div
className={`dark:bg-charleston-green-2 flex h-4 w-4 items-center justify-center rounded-xs border-2 border-[#C6C6C6] bg-white dark:border-[#757783]`}
className={`dark:bg-charleston-green-2 flex h-4 w-4 items-center justify-center rounded-xs border border-[#C6C6C6] bg-white dark:border-[#757783]`}
aria-hidden="true"
>
{isSelected && (

View File

@@ -17,7 +17,7 @@ type SourcesPopupProps = {
isOpen: boolean;
onClose: () => void;
anchorRef: React.RefObject<HTMLButtonElement | null>;
handlePostDocumentSelect: (doc: Doc[] | null) => void;
handlePostDocumentSelect: (doc: Doc | null) => void;
setUploadModalState: React.Dispatch<React.SetStateAction<ActiveState>>;
};
@@ -149,13 +149,9 @@ export default function SourcesPopup({
if (option.model === embeddingsName) {
const isSelected =
selectedDocs &&
Array.isArray(selectedDocs) &&
selectedDocs.length > 0 &&
selectedDocs.some((doc) =>
option.id
? doc.id === option.id
: doc.date === option.date,
);
(option.id
? selectedDocs.id === option.id
: selectedDocs.date === option.date);
return (
<div
@@ -163,29 +159,11 @@ export default function SourcesPopup({
className="border-opacity-80 dark:border-dim-gray flex cursor-pointer items-center border-b border-[#D9D9D9] p-3 transition-colors hover:bg-gray-100 dark:text-[14px] dark:hover:bg-[#2C2E3C]"
onClick={() => {
if (isSelected) {
const updatedDocs =
selectedDocs && Array.isArray(selectedDocs)
? selectedDocs.filter((doc) =>
option.id
? doc.id !== option.id
: doc.date !== option.date,
)
: [];
dispatch(
setSelectedDocs(
updatedDocs.length > 0 ? updatedDocs : null,
),
);
handlePostDocumentSelect(
updatedDocs.length > 0 ? updatedDocs : null,
);
dispatch(setSelectedDocs(null));
handlePostDocumentSelect(null);
} else {
const updatedDocs =
selectedDocs && Array.isArray(selectedDocs)
? [...selectedDocs, option]
: [option];
dispatch(setSelectedDocs(updatedDocs));
handlePostDocumentSelect(updatedDocs);
dispatch(setSelectedDocs(option));
handlePostDocumentSelect(option);
}
}}
>
@@ -200,7 +178,7 @@ export default function SourcesPopup({
{option.name}
</span>
<div
className={`flex h-4 w-4 shrink-0 items-center justify-center rounded-xs border-2 border-[#C6C6C6] p-[0.5px] dark:border-[#757783]`}
className={`flex h-4 w-4 shrink-0 items-center justify-center border border-[#C6C6C6] p-[0.5px] dark:border-[#757783]`}
>
{isSelected && (
<img

View File

@@ -1,172 +0,0 @@
import React from 'react';
interface TableProps {
children: React.ReactNode;
className?: string;
minWidth?: string;
}
interface TableContainerProps {
children: React.ReactNode;
className?: string;
ref?: React.Ref<HTMLDivElement>;
height?: string;
bordered?: boolean;
}
interface TableHeadProps {
children: React.ReactNode;
className?: string;
}
interface TableRowProps {
children: React.ReactNode;
className?: string;
onClick?: () => void;
}
interface TableCellProps {
children?: React.ReactNode;
className?: string;
minWidth?: string;
width?: string;
align?: 'left' | 'right' | 'center';
}
const TableContainer = React.forwardRef<HTMLDivElement, TableContainerProps>(({
children,
className = '',
height = 'auto',
bordered = true
}, ref) => {
return (
<div className={`relative rounded-[6px] ${className}`}>
<div
ref={ref}
className={`w-full overflow-x-auto rounded-[6px] bg-transparent ${bordered ? 'border border-[#D7D7D7] dark:border-[#6A6A6A]' : ''}`}
style={{
maxHeight: height === 'auto' ? undefined : height,
overflowY: height === 'auto' ? 'hidden' : 'auto'
}}
>
{children}
</div>
</div>
);
});;
const Table: React.FC<TableProps> = ({
children,
className = '',
minWidth = 'min-w-[600px]'
}) => {
return (
<table className={`w-full table-auto border-collapse bg-transparent ${minWidth} ${className}`}>
{children}
</table>
);
};
const TableHead: React.FC<TableHeadProps> = ({ children, className = '' }) => {
return (
<thead className={`
sticky top-0 z-10
bg-gray-100 dark:bg-[#27282D]
${className}
`}>
{children}
</thead>
);
};
const TableBody: React.FC<TableHeadProps> = ({ children, className = '' }) => {
return (
<tbody className={`[&>tr:last-child]:border-b-0 ${className}`}>
{children}
</tbody>
);
};
const TableRow: React.FC<TableRowProps> = ({ children, className = '', onClick }) => {
const baseClasses = "border-b border-[#D7D7D7] hover:bg-[#ECEEEF] dark:border-[#6A6A6A] dark:hover:bg-[#27282D]";
const cursorClass = onClick ? "cursor-pointer" : "";
return (
<tr className={`${baseClasses} ${cursorClass} ${className}`} onClick={onClick}>
{children}
</tr>
);
};
const TableHeader: React.FC<TableCellProps> = ({
children,
className = '',
minWidth,
width,
align = 'left'
}) => {
const getAlignmentClass = () => {
switch (align) {
case 'right':
return 'text-right';
case 'center':
return 'text-center';
default:
return 'text-left';
}
};
const baseClasses = `px-2 py-3 text-sm font-medium text-gray-700 lg:px-3 dark:text-[#59636E] border-b border-[#D7D7D7] dark:border-[#6A6A6A] relative box-border ${getAlignmentClass()}`;
const widthClasses = minWidth ? minWidth : '';
return (
<th
className={`${baseClasses} ${widthClasses} ${className}`}
style={width ? { width, minWidth: width, maxWidth: width } : {}}
>
{children}
</th>
);
};
const TableCell: React.FC<TableCellProps> = ({
children,
className = '',
minWidth,
width,
align = 'left'
}) => {
const getAlignmentClass = () => {
switch (align) {
case 'right':
return 'text-right';
case 'center':
return 'text-center';
default:
return 'text-left';
}
};
const baseClasses = `px-2 py-2 text-sm lg:px-3 dark:text-[#E0E0E0] box-border ${getAlignmentClass()}`;
const widthClasses = minWidth ? minWidth : '';
return (
<td
className={`${baseClasses} ${widthClasses} ${className}`}
style={width ? { width, minWidth: width, maxWidth: width } : {}}
>
{children}
</td>
);
};
export {
Table,
TableContainer,
TableHead,
TableBody,
TableRow,
TableHeader,
TableCell,
};
export default Table;

View File

@@ -46,14 +46,14 @@ const ToggleSwitch: React.FC<ToggleSwitchProps> = ({
return (
<label
className={`flex cursor-pointer flex-row items-center select-none ${
className={`flex cursor-pointer select-none flex-row items-center ${
labelPosition === 'right' ? 'flex-row-reverse' : ''
} ${disabled ? 'cursor-not-allowed opacity-50' : ''} ${className}`}
>
{label && (
<span
className={`text-eerie-black dark:text-white ${
labelPosition === 'left' ? 'mr-3' : 'ml-3'
labelPosition === 'left' ? 'mr-1' : 'ml-1'
}`}
>
{label}
@@ -75,7 +75,7 @@ const ToggleSwitch: React.FC<ToggleSwitchProps> = ({
}`}
></div>
<div
className={`absolute ${toggle} flex items-center justify-center rounded-full bg-white transition ${
className={`absolute ${toggle} flex items-center justify-center rounded-full bg-white opacity-80 transition ${
checked ? `${translate} bg-silver` : ''
}`}
></div>

View File

@@ -207,7 +207,7 @@ export default function ToolsPopup({
</div>
<div className="flex shrink-0 items-center">
<div
className={`flex h-4 w-4 items-center justify-center rounded-xs border-2 border-[#C6C6C6] p-[0.5px] dark:border-[#757783]`}
className={`flex h-4 w-4 items-center justify-center border border-[#C6C6C6] p-[0.5px] dark:border-[#757783]`}
>
{tool.status && (
<img

View File

@@ -22,7 +22,6 @@ export type InputProps = {
onKeyDown?: (
e: React.KeyboardEvent<HTMLTextAreaElement | HTMLInputElement>,
) => void;
leftIcon?: React.ReactNode;
};
export type MermaidRendererProps = {

View File

@@ -1,6 +1,6 @@
import 'katex/dist/katex.min.css';
import { forwardRef, Fragment, useEffect, useRef, useState } from 'react';
import { forwardRef, Fragment, useRef, useState, useEffect } from 'react';
import { useTranslation } from 'react-i18next';
import ReactMarkdown from 'react-markdown';
import { useSelector } from 'react-redux';
@@ -12,13 +12,12 @@ import {
import rehypeKatex from 'rehype-katex';
import remarkGfm from 'remark-gfm';
import remarkMath from 'remark-math';
import DocumentationDark from '../assets/documentation-dark.svg';
import ChevronDown from '../assets/chevron-down.svg';
import Cloud from '../assets/cloud.svg';
import DocsGPT3 from '../assets/cute_docsgpt3.svg';
import Dislike from '../assets/dislike.svg?react';
import Document from '../assets/document.svg';
import DocumentationDark from '../assets/documentation-dark.svg';
import Edit from '../assets/edit.svg';
import Like from '../assets/like.svg?react';
import Link from '../assets/link.svg';
@@ -762,11 +761,7 @@ function ToolCalls({ toolCalls }: { toolCalls: ToolCallsType[] }) {
Response
</span>{' '}
<CopyButton
textToCopy={
toolCall.status === 'error'
? toolCall.error || 'Unknown error'
: JSON.stringify(toolCall.result, null, 2)
}
textToCopy={JSON.stringify(toolCall.result, null, 2)}
/>
</p>
{toolCall.status === 'pending' && (
@@ -784,16 +779,6 @@ function ToolCalls({ toolCalls }: { toolCalls: ToolCallsType[] }) {
</span>
</p>
)}
{toolCall.status === 'error' && (
<p className="dark:bg-raisin-black rounded-b-2xl p-2 font-mono text-sm break-words">
<span
className="leading-[23px] text-red-500 dark:text-red-400"
style={{ fontFamily: 'IBMPlexMono-Medium' }}
>
{toolCall.error}
</span>
</p>
)}
</div>
</div>
</Accordion>

View File

@@ -210,7 +210,7 @@ export default function ConversationMessages({
)}
<div className="w-full max-w-[1300px] px-2 md:w-9/12 lg:w-8/12 xl:w-8/12 2xl:w-6/12">
{headerContent}
{headerContent && headerContent}
{queries.length > 0 ? (
queries.map((query, index) => (

View File

@@ -7,7 +7,7 @@ export function handleFetchAnswer(
question: string,
signal: AbortSignal,
token: string | null,
selectedDocs: Doc[] | null,
selectedDocs: Doc | null,
conversationId: string | null,
promptId: string | null,
chunks: string,
@@ -52,17 +52,10 @@ export function handleFetchAnswer(
payload.attachments = attachments;
}
if (selectedDocs && Array.isArray(selectedDocs)) {
if (selectedDocs.length > 1) {
// Handle multiple documents
payload.active_docs = selectedDocs.map((doc) => doc.id!);
payload.retriever = selectedDocs[0]?.retriever as string;
} else if (selectedDocs.length === 1 && 'id' in selectedDocs[0]) {
// Handle single document (backward compatibility)
payload.active_docs = selectedDocs[0].id as string;
payload.retriever = selectedDocs[0].retriever as string;
}
if (selectedDocs && 'id' in selectedDocs) {
payload.active_docs = selectedDocs.id as string;
}
payload.retriever = selectedDocs?.retriever as string;
return conversationService
.answer(payload, token, signal)
.then((response) => {
@@ -91,7 +84,7 @@ export function handleFetchAnswerSteaming(
question: string,
signal: AbortSignal,
token: string | null,
selectedDocs: Doc[] | null,
selectedDocs: Doc | null,
conversationId: string | null,
promptId: string | null,
chunks: string,
@@ -119,17 +112,10 @@ export function handleFetchAnswerSteaming(
payload.attachments = attachments;
}
if (selectedDocs && Array.isArray(selectedDocs)) {
if (selectedDocs.length > 1) {
// Handle multiple documents
payload.active_docs = selectedDocs.map((doc) => doc.id!);
payload.retriever = selectedDocs[0]?.retriever as string;
} else if (selectedDocs.length === 1 && 'id' in selectedDocs[0]) {
// Handle single document (backward compatibility)
payload.active_docs = selectedDocs[0].id as string;
payload.retriever = selectedDocs[0].retriever as string;
}
if (selectedDocs && 'id' in selectedDocs) {
payload.active_docs = selectedDocs.id as string;
}
payload.retriever = selectedDocs?.retriever as string;
return new Promise<Answer>((resolve, reject) => {
conversationService
@@ -185,7 +171,7 @@ export function handleFetchAnswerSteaming(
export function handleSearch(
question: string,
token: string | null,
selectedDocs: Doc[] | null,
selectedDocs: Doc | null,
conversation_id: string | null,
chunks: string,
token_limit: number,
@@ -197,17 +183,9 @@ export function handleSearch(
token_limit: token_limit,
isNoneDoc: selectedDocs === null,
};
if (selectedDocs && Array.isArray(selectedDocs)) {
if (selectedDocs.length > 1) {
// Handle multiple documents
payload.active_docs = selectedDocs.map((doc) => doc.id!);
payload.retriever = selectedDocs[0]?.retriever as string;
} else if (selectedDocs.length === 1 && 'id' in selectedDocs[0]) {
// Handle single document (backward compatibility)
payload.active_docs = selectedDocs[0].id as string;
payload.retriever = selectedDocs[0].retriever as string;
}
}
if (selectedDocs && 'id' in selectedDocs)
payload.active_docs = selectedDocs.id as string;
payload.retriever = selectedDocs?.retriever as string;
return conversationService
.search(payload, token)
.then((response) => response.json())

View File

@@ -54,7 +54,7 @@ export interface Query {
export interface RetrievalPayload {
question: string;
active_docs?: string | string[];
active_docs?: string;
retriever?: string;
conversation_id: string | null;
prompt_id?: string | null;

View File

@@ -4,6 +4,5 @@ export type ToolCallsType = {
call_id: string;
arguments: Record<string, any>;
result?: Record<string, any>;
error?: string;
status?: 'pending' | 'completed' | 'error';
status?: 'pending' | 'completed';
};

View File

@@ -18,14 +18,11 @@ export default function useDefaultDocument() {
const fetchDocs = () => {
getDocs(token).then((data) => {
dispatch(setSourceDocs(data));
if (
!selectedDoc ||
(Array.isArray(selectedDoc) && selectedDoc.length === 0)
)
if (!selectedDoc)
Array.isArray(data) &&
data?.forEach((doc: Doc) => {
if (doc.model && doc.name === 'default') {
dispatch(setSelectedDocs([doc]));
dispatch(setSelectedDocs(doc));
}
});
});

View File

@@ -68,7 +68,6 @@
"private": "Private",
"sync": "Sync",
"syncing": "Syncing...",
"syncConfirmation": "Are you sure you want to sync \"{{sourceName}}\"? This will update the content with your cloud storage and may override any edits you made to individual chunks.",
"syncFrequency": {
"never": "Never",
"daily": "Daily",
@@ -185,44 +184,7 @@
"cancel": "Cancel",
"addNew": "Add New",
"name": "Name",
"type": "Type",
"mcp": {
"addServer": "Add MCP Server",
"editServer": "Edit Server",
"serverName": "Server Name",
"serverUrl": "Server URL",
"headerName": "Header Name",
"timeout": "Timeout (seconds)",
"testConnection": "Test Connection",
"testing": "Testing",
"saving": "Saving",
"save": "Save",
"cancel": "Cancel",
"noAuth": "No Authentication",
"oauthInProgress": "Waiting for OAuth completion...",
"oauthCompleted": "OAuth completed successfully",
"placeholders": {
"serverUrl": "https://api.example.com",
"apiKey": "Your secret API key",
"bearerToken": "Your secret token",
"username": "Your username",
"password": "Your password",
"oauthScopes": "OAuth scopes (comma separated)"
},
"errors": {
"nameRequired": "Server name is required",
"urlRequired": "Server URL is required",
"invalidUrl": "Please enter a valid URL",
"apiKeyRequired": "API key is required",
"tokenRequired": "Bearer token is required",
"usernameRequired": "Username is required",
"passwordRequired": "Password is required",
"testFailed": "Connection test failed",
"saveFailed": "Failed to save MCP server",
"oauthFailed": "OAuth process failed or was cancelled",
"oauthTimeout": "OAuth process timed out, please try again"
}
}
"type": "Type"
}
},
"modals": {

View File

@@ -68,7 +68,6 @@
"private": "Privado",
"sync": "Sincronizar",
"syncing": "Sincronizando...",
"syncConfirmation": "¿Estás seguro de que deseas sincronizar \"{{sourceName}}\"? Esto actualizará el contenido con tu almacenamiento en la nube y puede anular cualquier edición que hayas realizado en fragmentos individuales.",
"syncFrequency": {
"never": "Nunca",
"daily": "Diario",

View File

@@ -68,7 +68,6 @@
"private": "プライベート",
"sync": "同期",
"syncing": "同期中...",
"syncConfirmation": "\"{{sourceName}}\"を同期してもよろしいですか?これにより、コンテンツがクラウドストレージで更新され、個々のチャンクに加えた編集が上書きされる可能性があります。",
"syncFrequency": {
"never": "なし",
"daily": "毎日",

View File

@@ -68,7 +68,6 @@
"private": "Частный",
"sync": "Синхронизация",
"syncing": "Синхронизация...",
"syncConfirmation": "Вы уверены, что хотите синхронизировать \"{{sourceName}}\"? Это обновит содержимое с вашим облачным хранилищем и может перезаписать любые изменения, внесенные вами в отдельные фрагменты.",
"syncFrequency": {
"never": "Никогда",
"daily": "Ежедневно",

View File

@@ -68,7 +68,6 @@
"private": "私人",
"sync": "同步",
"syncing": "同步中...",
"syncConfirmation": "您確定要同步 \"{{sourceName}}\" 嗎?這將使用您的雲端儲存更新內容,並可能覆蓋您對個別文本塊所做的任何編輯。",
"syncFrequency": {
"never": "從不",
"daily": "每天",

View File

@@ -68,7 +68,6 @@
"private": "私有",
"sync": "同步",
"syncing": "同步中...",
"syncConfirmation": "您确定要同步 \"{{sourceName}}\" 吗?这将使用您的云存储更新内容,并可能覆盖您对单个文本块所做的任何编辑。",
"syncFrequency": {
"never": "从不",
"daily": "每天",

View File

@@ -8,7 +8,6 @@ import { useOutsideAlerter } from '../hooks';
import { ActiveState } from '../models/misc';
import { selectToken } from '../preferences/preferenceSlice';
import ConfigToolModal from './ConfigToolModal';
import MCPServerModal from './MCPServerModal';
import { AvailableToolType } from './types';
import WrapperComponent from './WrapperModal';
@@ -35,8 +34,6 @@ export default function AddToolModal({
React.useState<AvailableToolType | null>(null);
const [configModalState, setConfigModalState] =
React.useState<ActiveState>('INACTIVE');
const [mcpModalState, setMcpModalState] =
React.useState<ActiveState>('INACTIVE');
const [loading, setLoading] = React.useState(false);
useOutsideAlerter(modalRef, () => {
@@ -89,9 +86,6 @@ export default function AddToolModal({
.catch((error) => {
console.error('Failed to create tool:', error);
});
} else if (tool.name === 'mcp_tool') {
setModalState('INACTIVE');
setMcpModalState('ACTIVE');
} else {
setModalState('INACTIVE');
setConfigModalState('ACTIVE');
@@ -101,12 +95,6 @@ export default function AddToolModal({
React.useEffect(() => {
if (modalState === 'ACTIVE') getAvailableTools();
}, [modalState]);
const handleMcpServerAdded = () => {
getUserTools();
setMcpModalState('INACTIVE');
};
return (
<>
{modalState === 'ACTIVE' && (
@@ -178,11 +166,6 @@ export default function AddToolModal({
tool={selectedTool}
getUserTools={getUserTools}
/>
<MCPServerModal
modalState={mcpModalState}
setModalState={setMcpModalState}
onServerSaved={handleMcpServerAdded}
/>
</>
);
}

View File

@@ -1,609 +0,0 @@
import { useRef, useState } from 'react';
import { useTranslation } from 'react-i18next';
import { useSelector } from 'react-redux';
import userService from '../api/services/userService';
import Dropdown from '../components/Dropdown';
import Input from '../components/Input';
import Spinner from '../components/Spinner';
import { useOutsideAlerter } from '../hooks';
import { ActiveState } from '../models/misc';
import { selectToken } from '../preferences/preferenceSlice';
import WrapperComponent from './WrapperModal';
interface MCPServerModalProps {
modalState: ActiveState;
setModalState: (state: ActiveState) => void;
server?: any;
onServerSaved: () => void;
}
const authTypes = [
{ label: 'No Authentication', value: 'none' },
{ label: 'API Key', value: 'api_key' },
{ label: 'Bearer Token', value: 'bearer' },
{ label: 'OAuth', value: 'oauth' },
// { label: 'Basic Authentication', value: 'basic' },
];
export default function MCPServerModal({
modalState,
setModalState,
server,
onServerSaved,
}: MCPServerModalProps) {
const { t } = useTranslation();
const token = useSelector(selectToken);
const modalRef = useRef<HTMLDivElement>(null);
const [formData, setFormData] = useState({
name: server?.displayName || 'My MCP Server',
server_url: server?.server_url || '',
auth_type: server?.auth_type || 'none',
api_key: '',
header_name: 'X-API-Key',
bearer_token: '',
username: '',
password: '',
timeout: server?.timeout || 30,
oauth_scopes: '',
oauth_task_id: '',
});
const [loading, setLoading] = useState(false);
const [testing, setTesting] = useState(false);
const [testResult, setTestResult] = useState<{
success: boolean;
message: string;
status?: string;
authorization_url?: string;
} | null>(null);
const [errors, setErrors] = useState<{ [key: string]: string }>({});
const oauthPopupRef = useRef<Window | null>(null);
const [oauthCompleted, setOAuthCompleted] = useState(false);
const [saveActive, setSaveActive] = useState(false);
useOutsideAlerter(modalRef, () => {
if (modalState === 'ACTIVE') {
setModalState('INACTIVE');
resetForm();
}
}, [modalState]);
const resetForm = () => {
setFormData({
name: 'My MCP Server',
server_url: '',
auth_type: 'none',
api_key: '',
header_name: 'X-API-Key',
bearer_token: '',
username: '',
password: '',
timeout: 30,
oauth_scopes: '',
oauth_task_id: '',
});
setErrors({});
setTestResult(null);
setSaveActive(false);
};
const validateForm = () => {
const requiredFields: { [key: string]: boolean } = {
name: !formData.name.trim(),
server_url: !formData.server_url.trim(),
};
const authFieldChecks: { [key: string]: () => void } = {
api_key: () => {
if (!formData.api_key.trim())
newErrors.api_key = t('settings.tools.mcp.errors.apiKeyRequired');
},
bearer: () => {
if (!formData.bearer_token.trim())
newErrors.bearer_token = t('settings.tools.mcp.errors.tokenRequired');
},
basic: () => {
if (!formData.username.trim())
newErrors.username = t('settings.tools.mcp.errors.usernameRequired');
if (!formData.password.trim())
newErrors.password = t('settings.tools.mcp.errors.passwordRequired');
},
};
const newErrors: { [key: string]: string } = {};
Object.entries(requiredFields).forEach(([field, isEmpty]) => {
if (isEmpty)
newErrors[field] = t(
`settings.tools.mcp.errors.${field === 'name' ? 'nameRequired' : 'urlRequired'}`,
);
});
if (formData.server_url.trim()) {
try {
new URL(formData.server_url);
} catch {
newErrors.server_url = t('settings.tools.mcp.errors.invalidUrl');
}
}
const timeoutValue = formData.timeout === '' ? 30 : formData.timeout;
if (
typeof timeoutValue === 'number' &&
(timeoutValue < 1 || timeoutValue > 300)
)
newErrors.timeout = 'Timeout must be between 1 and 300 seconds';
if (authFieldChecks[formData.auth_type])
authFieldChecks[formData.auth_type]();
setErrors(newErrors);
return Object.keys(newErrors).length === 0;
};
const handleInputChange = (name: string, value: string | number) => {
setFormData((prev) => ({ ...prev, [name]: value }));
if (errors[name]) {
setErrors((prev) => ({ ...prev, [name]: '' }));
}
setTestResult(null);
};
const buildToolConfig = () => {
const config: any = {
server_url: formData.server_url.trim(),
auth_type: formData.auth_type,
timeout: formData.timeout === '' ? 30 : formData.timeout,
};
if (formData.auth_type === 'api_key') {
config.api_key = formData.api_key.trim();
config.api_key_header = formData.header_name.trim() || 'X-API-Key';
} else if (formData.auth_type === 'bearer') {
config.bearer_token = formData.bearer_token.trim();
} else if (formData.auth_type === 'basic') {
config.username = formData.username.trim();
config.password = formData.password.trim();
} else if (formData.auth_type === 'oauth') {
config.oauth_scopes = formData.oauth_scopes
.split(',')
.map((s) => s.trim())
.filter(Boolean);
config.oauth_task_id = formData.oauth_task_id.trim();
}
return config;
};
const pollOAuthStatus = async (
taskId: string,
onComplete: (result: any) => void,
) => {
let attempts = 0;
const maxAttempts = 60;
let popupOpened = false;
const poll = async () => {
try {
const resp = await userService.getMCPOAuthStatus(taskId, token);
const data = await resp.json();
if (data.authorization_url && !popupOpened) {
if (oauthPopupRef.current && !oauthPopupRef.current.closed) {
oauthPopupRef.current.close();
}
oauthPopupRef.current = window.open(
data.authorization_url,
'oauthPopup',
'width=600,height=700',
);
popupOpened = true;
}
if (data.status === 'completed') {
setOAuthCompleted(true);
setSaveActive(true);
onComplete({
...data,
success: true,
message: t('settings.tools.mcp.oauthCompleted'),
});
if (oauthPopupRef.current && !oauthPopupRef.current.closed) {
oauthPopupRef.current.close();
}
} else if (data.status === 'error' || data.success === false) {
setSaveActive(false);
onComplete({
...data,
success: false,
message: t('settings.tools.mcp.errors.oauthFailed'),
});
if (oauthPopupRef.current && !oauthPopupRef.current.closed) {
oauthPopupRef.current.close();
}
} else {
if (++attempts < maxAttempts) setTimeout(poll, 1000);
else {
setSaveActive(false);
onComplete({
success: false,
message: t('settings.tools.mcp.errors.oauthTimeout'),
});
}
}
} catch {
if (++attempts < maxAttempts) setTimeout(poll, 1000);
else
onComplete({
success: false,
message: t('settings.tools.mcp.errors.oauthTimeout'),
});
}
};
poll();
};
const testConnection = async () => {
if (!validateForm()) return;
setTesting(true);
setTestResult(null);
try {
const config = buildToolConfig();
const response = await userService.testMCPConnection({ config }, token);
const result = await response.json();
if (
formData.auth_type === 'oauth' &&
result.requires_oauth &&
result.task_id
) {
setTestResult({
success: true,
message: t('settings.tools.mcp.oauthInProgress'),
});
setOAuthCompleted(false);
setSaveActive(false);
pollOAuthStatus(result.task_id, (finalResult) => {
setTestResult(finalResult);
setFormData((prev) => ({
...prev,
oauth_task_id: result.task_id || '',
}));
setTesting(false);
});
} else {
setTestResult(result);
setSaveActive(result.success === true);
setTesting(false);
}
} catch (error) {
setTestResult({
success: false,
message: t('settings.tools.mcp.errors.testFailed'),
});
setOAuthCompleted(false);
setSaveActive(false);
setTesting(false);
}
};
const handleSave = async () => {
if (!validateForm()) return;
setLoading(true);
try {
const config = buildToolConfig();
const serverData = {
displayName: formData.name,
config,
status: true,
...(server?.id && { id: server.id }),
};
const response = await userService.saveMCPServer(serverData, token);
const result = await response.json();
if (response.ok && result.success) {
setTestResult({
success: true,
message: result.message,
});
onServerSaved();
setModalState('INACTIVE');
resetForm();
} else {
setErrors({
general: result.error || t('settings.tools.mcp.errors.saveFailed'),
});
}
} catch (error) {
console.error('Error saving MCP server:', error);
setErrors({ general: t('settings.tools.mcp.errors.saveFailed') });
} finally {
setLoading(false);
}
};
const renderAuthFields = () => {
switch (formData.auth_type) {
case 'api_key':
return (
<div className="mb-10">
<div className="mt-6">
<Input
name="api_key"
type="text"
className="rounded-md"
value={formData.api_key}
onChange={(e) => handleInputChange('api_key', e.target.value)}
placeholder={t('settings.tools.mcp.placeholders.apiKey')}
borderVariant="thin"
labelBgClassName="bg-white dark:bg-charleston-green-2"
/>
{errors.api_key && (
<p className="mt-1 text-sm text-red-600">{errors.api_key}</p>
)}
</div>
<div className="mt-5">
<Input
name="header_name"
type="text"
className="rounded-md"
value={formData.header_name}
onChange={(e) =>
handleInputChange('header_name', e.target.value)
}
placeholder={t('settings.tools.mcp.headerName')}
borderVariant="thin"
labelBgClassName="bg-white dark:bg-charleston-green-2"
/>
</div>
</div>
);
case 'bearer':
return (
<div className="mb-10">
<Input
name="bearer_token"
type="text"
className="rounded-md"
value={formData.bearer_token}
onChange={(e) =>
handleInputChange('bearer_token', e.target.value)
}
placeholder={t('settings.tools.mcp.placeholders.bearerToken')}
borderVariant="thin"
labelBgClassName="bg-white dark:bg-charleston-green-2"
/>
{errors.bearer_token && (
<p className="mt-1 text-sm text-red-600">{errors.bearer_token}</p>
)}
</div>
);
case 'basic':
return (
<div className="mb-10">
<div className="mt-6">
<Input
name="username"
type="text"
className="rounded-md"
value={formData.username}
onChange={(e) => handleInputChange('username', e.target.value)}
placeholder={t('settings.tools.mcp.username')}
borderVariant="thin"
labelBgClassName="bg-white dark:bg-charleston-green-2"
/>
{errors.username && (
<p className="mt-1 text-sm text-red-600">{errors.username}</p>
)}
</div>
<div className="mt-5">
<Input
name="password"
type="text"
className="rounded-md"
value={formData.password}
onChange={(e) => handleInputChange('password', e.target.value)}
placeholder={t('settings.tools.mcp.password')}
borderVariant="thin"
labelBgClassName="bg-white dark:bg-charleston-green-2"
/>
{errors.password && (
<p className="mt-1 text-sm text-red-600">{errors.password}</p>
)}
</div>
</div>
);
case 'oauth':
return (
<div className="mb-10">
<div className="mt-6">
<Input
name="oauth_scopes"
type="text"
className="rounded-md"
value={formData.oauth_scopes}
onChange={(e) =>
handleInputChange('oauth_scopes', e.target.value)
}
placeholder={
t('settings.tools.mcp.placeholders.oauthScopes') ||
'Scopes (comma separated)'
}
borderVariant="thin"
labelBgClassName="bg-white dark:bg-charleston-green-2"
/>
</div>
</div>
);
default:
return null;
}
};
return (
modalState === 'ACTIVE' && (
<WrapperComponent
close={() => {
setModalState('INACTIVE');
resetForm();
}}
className="max-w-[600px] md:w-[80vw] lg:w-[60vw]"
>
<div className="flex h-full flex-col">
<div className="px-6 py-4">
<h2 className="text-jet dark:text-bright-gray text-xl font-semibold">
{server
? t('settings.tools.mcp.editServer')
: t('settings.tools.mcp.addServer')}
</h2>
</div>
<div className="flex-1 px-6">
<div className="space-y-6 py-6">
<div>
<Input
type="text"
className="rounded-md"
value={formData.name}
onChange={(e) => handleInputChange('name', e.target.value)}
borderVariant="thin"
placeholder={t('settings.tools.mcp.serverName')}
labelBgClassName="bg-white dark:bg-charleston-green-2"
/>
{errors.name && (
<p className="mt-1 text-sm text-red-600">{errors.name}</p>
)}
</div>
<div>
<Input
name="server_url"
type="text"
className="rounded-md"
value={formData.server_url}
onChange={(e) =>
handleInputChange('server_url', e.target.value)
}
placeholder={t('settings.tools.mcp.serverUrl')}
borderVariant="thin"
labelBgClassName="bg-white dark:bg-charleston-green-2"
/>
{errors.server_url && (
<p className="mt-1 text-sm text-red-600">
{errors.server_url}
</p>
)}
</div>
<Dropdown
placeholder={t('settings.tools.mcp.authType')}
selectedValue={
authTypes.find((type) => type.value === formData.auth_type)
?.label || null
}
onSelect={(selection: { label: string; value: string }) => {
handleInputChange('auth_type', selection.value);
}}
options={authTypes}
size="w-full"
rounded="3xl"
border="border"
/>
{renderAuthFields()}
<div>
<Input
name="timeout"
type="number"
className="rounded-md"
value={formData.timeout}
onChange={(e) => {
const value = e.target.value;
if (value === '') {
handleInputChange('timeout', '');
} else {
const numValue = parseInt(value);
if (!isNaN(numValue) && numValue >= 1) {
handleInputChange('timeout', numValue);
}
}
}}
placeholder={t('settings.tools.mcp.timeout')}
borderVariant="thin"
labelBgClassName="bg-white dark:bg-charleston-green-2"
/>
{errors.timeout && (
<p className="mt-2 text-sm text-red-600">{errors.timeout}</p>
)}
</div>
{testResult && (
<div
className={`rounded-2xl p-5 ${
testResult.success
? 'bg-green-50 text-green-700 dark:bg-green-900/40 dark:text-green-300'
: 'bg-red-50 text-red-700 dark:bg-red-900 dark:text-red-300'
}`}
>
{testResult.message}
</div>
)}
{errors.general && (
<div className="rounded-2xl bg-red-50 p-5 text-red-700 dark:bg-red-900 dark:text-red-300">
{errors.general}
</div>
)}
</div>
</div>
<div className="px-6 py-2">
<div className="flex flex-col gap-4 sm:flex-row sm:justify-between">
<button
onClick={testConnection}
disabled={testing}
className="border-silver dark:border-dim-gray dark:text-light-gray w-full rounded-3xl border px-6 py-2 text-sm font-medium transition-all hover:bg-gray-100 disabled:opacity-50 sm:w-auto dark:hover:bg-[#767183]/50"
>
{testing ? (
<div className="flex items-center justify-center">
<Spinner size="small" />
<span className="ml-2">
{t('settings.tools.mcp.testing')}
</span>
</div>
) : (
t('settings.tools.mcp.testConnection')
)}
</button>
<div className="flex flex-col-reverse gap-3 sm:flex-row sm:gap-3">
<button
onClick={() => {
setModalState('INACTIVE');
resetForm();
}}
className="dark:text-light-gray w-full cursor-pointer rounded-3xl px-6 py-2 text-sm font-medium hover:bg-gray-100 sm:w-auto dark:bg-transparent dark:hover:bg-[#767183]/50"
>
{t('settings.tools.mcp.cancel')}
</button>
<button
onClick={handleSave}
disabled={loading || !saveActive}
className="bg-purple-30 hover:bg-violets-are-blue w-full rounded-3xl px-6 py-2 text-sm font-medium text-white transition-all disabled:opacity-50 sm:w-auto"
>
{loading ? (
<div className="flex items-center justify-center">
<Spinner size="small" />
<span className="ml-2">
{t('settings.tools.mcp.saving')}
</span>
</div>
) : (
t('settings.tools.mcp.save')
)}
</button>
</div>
</div>
</div>
</div>
</WrapperComponent>
)
);
}

View File

@@ -60,7 +60,7 @@ export const ShareConversationModal = ({
const [sourcePath, setSourcePath] = useState<{
label: string;
value: string;
} | null>(preSelectedDoc ? extractDocPaths(preSelectedDoc)[0] : null);
} | null>(preSelectedDoc ? extractDocPaths([preSelectedDoc])[0] : null);
const handleCopyKey = (url: string) => {
navigator.clipboard.writeText(url);
@@ -105,14 +105,14 @@ export const ShareConversationModal = ({
return (
<WrapperModal close={close}>
<div className="flex flex-col gap-2">
<h2 className="text-eerie-black dark:text-chinese-white text-xl font-medium">
<h2 className="text-xl font-medium text-eerie-black dark:text-chinese-white">
{t('modals.shareConv.label')}
</h2>
<p className="text-eerie-black dark:text-silver/60 text-sm">
<p className="text-sm text-eerie-black dark:text-silver/60">
{t('modals.shareConv.note')}
</p>
<div className="flex items-center justify-between">
<span className="text-eerie-black text-lg dark:text-white">
<span className="text-lg text-eerie-black dark:text-white">
{t('modals.shareConv.option')}
</span>
<ToggleSwitch
@@ -136,19 +136,19 @@ export const ShareConversationModal = ({
</div>
)}
<div className="flex items-baseline justify-between gap-2">
<span className="no-scrollbar border-silver text-eerie-black dark:border-silver/40 w-full overflow-x-auto rounded-full border-2 px-4 py-3 whitespace-nowrap dark:text-white">
<span className="no-scrollbar w-full overflow-x-auto whitespace-nowrap rounded-full border-2 border-silver px-4 py-3 text-eerie-black dark:border-silver/40 dark:text-white">
{`${domain}/share/${identifier ?? '....'}`}
</span>
{status === 'fetched' ? (
<button
className="bg-purple-30 hover:bg-violets-are-blue my-1 h-10 w-28 rounded-full p-2 text-sm text-white"
className="my-1 h-10 w-28 rounded-full bg-purple-30 p-2 text-sm text-white hover:bg-violets-are-blue"
onClick={() => handleCopyKey(`${domain}/share/${identifier}`)}
>
{isCopied ? t('modals.saveKey.copied') : t('modals.saveKey.copy')}
</button>
) : (
<button
className="bg-purple-30 hover:bg-violets-are-blue my-1 flex h-10 w-28 items-center justify-evenly rounded-full p-2 text-center text-sm font-normal text-white"
className="my-1 flex h-10 w-28 items-center justify-evenly rounded-full bg-purple-30 p-2 text-center text-sm font-normal text-white hover:bg-violets-are-blue"
onClick={() => {
shareCoversationPublicly(allowPrompt);
}}

View File

@@ -42,10 +42,10 @@ export default function WrapperModal({
}, [close, isPerformingTask]);
const modalContent = (
<div className="fixed top-0 left-0 z-30 flex h-screen w-screen items-center justify-center">
<div className="bg-gray-alpha bg-opacity-50 fixed top-0 left-0 z-30 flex h-screen w-screen items-center justify-center">
<div
ref={modalRef}
className={`relative rounded-2xl bg-white dark:bg-[#26272E] p-8 shadow-[0px_4px_40px_-3px_#0000001A] ${className}`}
className={`relative w-11/12 rounded-2xl bg-white p-8 sm:w-[512px] dark:bg-[#26272E] ${className}`}
>
{!isPerformingTask && (
<button
@@ -55,7 +55,7 @@ export default function WrapperModal({
<img className="filter dark:invert" src={Exit} alt="Close" />
</button>
)}
<div className={`overflow-y-auto no-scrollbar text-[#18181B] dark:text-[#ECECF1] ${contentClassName}`}>{children}</div>
<div className={`${contentClassName}`}>{children}</div>
</div>
</div>
);

View File

@@ -90,9 +90,9 @@ export function getLocalApiKey(): string | null {
return key;
}
export function getLocalRecentDocs(): Doc[] | null {
const docs = localStorage.getItem('DocsGPTRecentDocs');
return docs ? (JSON.parse(docs) as Doc[]) : null;
export function getLocalRecentDocs(): string | null {
const doc = localStorage.getItem('DocsGPTRecentDocs');
return doc;
}
export function getLocalPrompt(): string | null {
@@ -108,20 +108,19 @@ export function setLocalPrompt(prompt: string): void {
localStorage.setItem('DocsGPTPrompt', prompt);
}
export function setLocalRecentDocs(docs: Doc[] | null): void {
if (docs && docs.length > 0) {
localStorage.setItem('DocsGPTRecentDocs', JSON.stringify(docs));
export function setLocalRecentDocs(doc: Doc | null): void {
localStorage.setItem('DocsGPTRecentDocs', JSON.stringify(doc));
docs.forEach((doc) => {
let docPath = 'default';
if (doc.type === 'local') {
if (doc?.type === 'local') {
docPath = 'local' + '/' + doc.name + '/';
}
userService
.checkDocs({ docs: docPath }, null)
.checkDocs(
{
docs: docPath,
},
null,
)
.then((response) => response.json());
});
} else {
localStorage.removeItem('DocsGPTRecentDocs');
}
}

View File

@@ -15,7 +15,7 @@ export interface Preference {
prompt: { name: string; id: string; type: string };
chunks: string;
token_limit: number;
selectedDocs: Doc[] | null;
selectedDocs: Doc | null;
sourceDocs: Doc[] | null;
conversations: {
data: { name: string; id: string }[] | null;
@@ -34,16 +34,15 @@ const initialState: Preference = {
prompt: { name: 'default', id: 'default', type: 'public' },
chunks: '2',
token_limit: 2000,
selectedDocs: [
{
selectedDocs: {
id: 'default',
name: 'default',
type: 'remote',
date: 'default',
docLink: 'default',
model: 'openai_text-embedding-ada-002',
retriever: 'classic',
},
] as Doc[],
} as Doc,
sourceDocs: null,
conversations: {
data: null,

View File

@@ -1,3 +1,4 @@
import React, { useCallback, useEffect, useRef, useState } from 'react';
import { useTranslation } from 'react-i18next';
import { useDispatch, useSelector } from 'react-redux';
@@ -272,7 +273,7 @@ export default function Sources({
return documentToView ? (
<div className="mt-8 flex flex-col">
{documentToView.isNested ? (
documentToView.type === 'connector:file' ? (
documentToView.type === 'connector' ? (
<ConnectorTreeComponent
docId={documentToView.id || ''}
sourceName={documentToView.name}
@@ -318,7 +319,7 @@ export default function Sources({
setSearchTerm(e.target.value);
setCurrentPage(1);
}}
className="border-silver dark:border-silver/40 text-jet dark:text-bright-gray focus:border-silver dark:focus:border-silver/60 h-[32px] w-full rounded-full border bg-transparent px-3 text-sm outline-none placeholder:text-gray-400 dark:placeholder:text-gray-500"
className="w-full h-[32px] rounded-full border border-silver dark:border-silver/40 bg-transparent px-3 text-sm text-jet dark:text-bright-gray placeholder:text-gray-400 dark:placeholder:text-gray-500 outline-none focus:border-silver dark:focus:border-silver/60"
/>
</div>
</div>
@@ -335,7 +336,7 @@ export default function Sources({
</div>
<div className="relative w-full">
{loading ? (
<div className="grid w-full grid-cols-1 gap-6 px-2 py-4 sm:grid-cols-2 lg:grid-cols-3 xl:grid-cols-4">
<div className="w-full grid grid-cols-1 sm:grid-cols-2 lg:grid-cols-3 xl:grid-cols-4 gap-6 px-2 py-4">
<SkeletonLoader component="sourceCards" count={rowsPerPage} />
</div>
) : !currentDocuments?.length ? (
@@ -350,7 +351,7 @@ export default function Sources({
</p>
</div>
) : (
<div className="grid w-full grid-cols-1 gap-6 px-2 py-4 sm:grid-cols-2 lg:grid-cols-3 xl:grid-cols-4">
<div className="w-full grid grid-cols-1 sm:grid-cols-2 lg:grid-cols-3 xl:grid-cols-4 gap-6 px-2 py-4">
{currentDocuments.map((document, index) => {
const docId = document.id ? document.id.toString() : '';
@@ -426,7 +427,7 @@ export default function Sources({
<img
src={CalendarIcon}
alt=""
className="h-[14px] w-[14px]"
className="w-[14px] h-[14px]"
/>
<span className="font-inter text-[12px] leading-[18px] font-[500] text-[#848484] dark:text-[#848484]">
{document.date ? formatDate(document.date) : ''}
@@ -436,7 +437,7 @@ export default function Sources({
<img
src={DiscIcon}
alt=""
className="h-[14px] w-[14px]"
className="w-[14px] h-[14px]"
/>
<span className="font-inter text-[12px] leading-[18px] font-[500] text-[#848484] dark:text-[#848484]">
{document.tokens

View File

@@ -30,22 +30,9 @@ export default function ToolConfig({
handleGoBack: () => void;
}) {
const token = useSelector(selectToken);
const [authKey, setAuthKey] = React.useState<string>(() => {
if (tool.name === 'mcp_tool') {
const config = tool.config as any;
if (config.auth_type === 'api_key') {
return config.api_key || '';
} else if (config.auth_type === 'bearer') {
return config.encrypted_token || '';
} else if (config.auth_type === 'basic') {
return config.password || '';
}
return '';
} else if ('token' in tool.config) {
return tool.config.token;
}
return '';
});
const [authKey, setAuthKey] = React.useState<string>(
'token' in tool.config ? tool.config.token : '',
);
const [customName, setCustomName] = React.useState<string>(
tool.customName || '',
);
@@ -110,26 +97,6 @@ export default function ToolConfig({
};
const handleSaveChanges = () => {
let configToSave;
if (tool.name === 'api_tool') {
configToSave = tool.config;
} else if (tool.name === 'mcp_tool') {
configToSave = { ...tool.config } as any;
const mcpConfig = tool.config as any;
if (authKey.trim()) {
if (mcpConfig.auth_type === 'api_key') {
configToSave.api_key = authKey;
} else if (mcpConfig.auth_type === 'bearer') {
configToSave.encrypted_token = authKey;
} else if (mcpConfig.auth_type === 'basic') {
configToSave.password = authKey;
}
}
} else {
configToSave = { token: authKey };
}
userService
.updateTool(
{
@@ -138,7 +105,7 @@ export default function ToolConfig({
displayName: tool.displayName,
customName: customName,
description: tool.description,
config: configToSave,
config: tool.name === 'api_tool' ? tool.config : { token: authKey },
actions: 'actions' in tool ? tool.actions : [],
status: tool.status,
},
@@ -229,15 +196,7 @@ export default function ToolConfig({
<div className="mt-1">
{Object.keys(tool?.config).length !== 0 && tool.name !== 'api_tool' && (
<p className="text-eerie-black dark:text-bright-gray text-sm font-semibold">
{tool.name === 'mcp_tool'
? (tool.config as any)?.auth_type === 'bearer'
? 'Bearer Token'
: (tool.config as any)?.auth_type === 'api_key'
? 'API Key'
: (tool.config as any)?.auth_type === 'basic'
? 'Password'
: t('settings.tools.authentication')
: t('settings.tools.authentication')}
{t('settings.tools.authentication')}
</p>
)}
<div className="mt-4 flex flex-col items-start gap-2 sm:flex-row sm:items-center">
@@ -249,17 +208,7 @@ export default function ToolConfig({
value={authKey}
onChange={(e) => setAuthKey(e.target.value)}
borderVariant="thin"
placeholder={
tool.name === 'mcp_tool'
? (tool.config as any)?.auth_type === 'bearer'
? 'Bearer Token'
: (tool.config as any)?.auth_type === 'api_key'
? 'API Key'
: (tool.config as any)?.auth_type === 'basic'
? 'Password'
: t('modals.configTool.apiKeyPlaceholder')
: t('modals.configTool.apiKeyPlaceholder')
}
placeholder={t('modals.configTool.apiKeyPlaceholder')}
/>
</div>
)}
@@ -501,26 +450,6 @@ export default function ToolConfig({
setModalState={(state) => setShowUnsavedModal(state === 'ACTIVE')}
submitLabel={t('settings.tools.saveAndLeave')}
handleSubmit={() => {
let configToSave;
if (tool.name === 'api_tool') {
configToSave = tool.config;
} else if (tool.name === 'mcp_tool') {
configToSave = { ...tool.config } as any;
const mcpConfig = tool.config as any;
if (authKey.trim()) {
if (mcpConfig.auth_type === 'api_key') {
configToSave.api_key = authKey;
} else if (mcpConfig.auth_type === 'bearer') {
configToSave.encrypted_token = authKey;
} else if (mcpConfig.auth_type === 'basic') {
configToSave.password = authKey;
}
}
} else {
configToSave = { token: authKey };
}
userService
.updateTool(
{
@@ -529,7 +458,10 @@ export default function ToolConfig({
displayName: tool.displayName,
customName: customName,
description: tool.description,
config: configToSave,
config:
tool.name === 'api_tool'
? tool.config
: { token: authKey },
actions: 'actions' in tool ? tool.actions : [],
status: tool.status,
},

File diff suppressed because it is too large Load Diff

View File

@@ -1,16 +1,45 @@
import CrawlerIcon from '../../assets/crawler.svg';
import FileUploadIcon from '../../assets/file_upload.svg';
import UrlIcon from '../../assets/url.svg';
import GithubIcon from '../../assets/github.svg';
import RedditIcon from '../../assets/reddit.svg';
import DriveIcon from '../../assets/drive.svg';
export interface BaseIngestorConfig {
[key: string]: string | number | boolean | undefined;
}
export type IngestorType = 'crawler' | 'github' | 'reddit' | 'url' | 'google_drive' | 'local_file';
export interface RedditIngestorConfig extends BaseIngestorConfig {
client_id: string;
client_secret: string;
user_agent: string;
search_queries: string;
number_posts: number;
}
export interface GithubIngestorConfig extends BaseIngestorConfig {
repo_url: string;
}
export interface CrawlerIngestorConfig extends BaseIngestorConfig {
url: string;
}
export interface UrlIngestorConfig extends BaseIngestorConfig {
url: string;
}
export interface GoogleDriveIngestorConfig extends BaseIngestorConfig {
folder_id?: string;
file_ids?: string;
recursive?: boolean;
token_info?: any;
}
export type IngestorType = 'crawler' | 'github' | 'reddit' | 'url' | 'google_drive';
export interface IngestorConfig {
type: IngestorType | null;
type: IngestorType;
name: string;
config: Record<string, string | number | boolean | File[]>;
config:
| RedditIngestorConfig
| GithubIngestorConfig
| CrawlerIngestorConfig
| UrlIngestorConfig
| GoogleDriveIngestorConfig;
}
export type IngestorFormData = {
@@ -20,7 +49,7 @@ export type IngestorFormData = {
data: string;
};
export type FieldType = 'string' | 'number' | 'enum' | 'boolean' | 'local_file_picker' | 'remote_file_picker' | 'google_drive_picker';
export type FieldType = 'string' | 'number' | 'enum' | 'boolean';
export interface FormField {
name: string;
@@ -31,82 +60,89 @@ export interface FormField {
options?: { label: string; value: string }[];
}
export interface IngestorSchema {
key: IngestorType;
label: string;
icon: string;
heading: string;
validate?: () => boolean;
fields: FormField[];
}
export const IngestorFormSchemas: IngestorSchema[] = [
export const IngestorFormSchemas: Record<IngestorType, FormField[]> = {
crawler: [
{
key: 'local_file',
label: 'Upload File',
icon: FileUploadIcon,
heading: 'Upload new document',
fields: [
{ name: 'files', label: 'Select files', type: 'local_file_picker', required: true },
]
},
{
key: 'crawler',
label: 'Crawler',
icon: CrawlerIcon,
heading: 'Add content with Web Crawler',
fields: [{ name: 'url', label: 'URL', type: 'string', required: true }]
},
{
key: 'url',
label: 'Link',
icon: UrlIcon,
heading: 'Add content from URL',
fields: [{ name: 'url', label: 'URL', type: 'string', required: true }]
},
{
key: 'github',
label: 'GitHub',
icon: GithubIcon,
heading: 'Add content from GitHub',
fields: [{ name: 'repo_url', label: 'Repository URL', type: 'string', required: true }]
},
{
key: 'reddit',
label: 'Reddit',
icon: RedditIcon,
heading: 'Add content from Reddit',
fields: [
{ name: 'client_id', label: 'Client ID', type: 'string', required: true },
{ name: 'client_secret', label: 'Client Secret', type: 'string', required: true },
{ name: 'user_agent', label: 'User Agent', type: 'string', required: true },
{ name: 'search_queries', label: 'Search Queries', type: 'string', required: true },
{ name: 'number_posts', label: 'Number of Posts', type: 'number', required: true },
]
},
{
key: 'google_drive',
label: 'Google Drive',
icon: DriveIcon,
heading: 'Upload from Google Drive',
validate: () => {
const googleClientId = import.meta.env.VITE_GOOGLE_CLIENT_ID;
return !!(googleClientId);
},
fields: [
{
name: 'files',
label: 'Select Files from Google Drive',
type: 'google_drive_picker',
name: 'url',
label: 'URL',
type: 'string',
required: true,
}
]
},
];
],
url: [
{
name: 'url',
label: 'URL',
type: 'string',
required: true,
},
],
reddit: [
{
name: 'client_id',
label: 'Client ID',
type: 'string',
required: true,
},
{
name: 'client_secret',
label: 'Client Secret',
type: 'string',
required: true,
},
{
name: 'user_agent',
label: 'User Agent',
type: 'string',
required: true,
},
{
name: 'search_queries',
label: 'Search Queries',
type: 'string',
required: true,
},
{
name: 'number_posts',
label: 'Number of Posts',
type: 'number',
required: true,
},
],
github: [
{
name: 'repo_url',
label: 'Repository URL',
type: 'string',
required: true,
},
],
google_drive: [
{
name: 'recursive',
label: 'Include subfolders',
type: 'boolean',
required: false,
},
],
};
export const IngestorDefaultConfigs: Record<IngestorType, Omit<IngestorConfig, 'type'>> = {
crawler: { name: '', config: { url: '' } },
url: { name: '', config: { url: '' } },
export const IngestorDefaultConfigs: Record<
IngestorType,
Omit<IngestorConfig, 'type'>
> = {
crawler: {
name: '',
config: {
url: '',
} as CrawlerIngestorConfig,
},
url: {
name: '',
config: {
url: '',
} as UrlIngestorConfig,
},
reddit: {
name: '',
config: {
@@ -114,30 +150,21 @@ export const IngestorDefaultConfigs: Record<IngestorType, Omit<IngestorConfig, '
client_secret: '',
user_agent: '',
search_queries: '',
number_posts: 10
}
number_posts: 10,
} as RedditIngestorConfig,
},
github: {
name: '',
config: {
repo_url: '',
} as GithubIngestorConfig,
},
github: { name: '', config: { repo_url: '' } },
google_drive: {
name: '',
config: {
folder_id: '',
file_ids: '',
folder_ids: '',
recursive: true
}
recursive: true,
} as GoogleDriveIngestorConfig,
},
local_file: { name: '', config: { files: [] } },
};
export interface IngestorOption {
label: string;
value: IngestorType;
icon: string;
heading: string;
}
export const getIngestorSchema = (key: IngestorType): IngestorSchema | undefined => {
return IngestorFormSchemas.find(schema => schema.key === key);
};

View File

@@ -3,6 +3,7 @@
* Follows the convention: {provider}_session_token
*/
export const getSessionToken = (provider: string): string | null => {
return localStorage.getItem(`${provider}_session_token`);
};

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@@ -1,231 +0,0 @@
from unittest.mock import Mock, patch
from typing import Any, Dict, Generator
from application.llm.handlers.base import LLMHandler, LLMResponse, ToolCall
class TestToolCall:
"""Test ToolCall dataclass."""
def test_tool_call_creation(self):
"""Test basic ToolCall creation."""
tool_call = ToolCall(
id="test_id",
name="test_function",
arguments={"arg1": "value1"},
index=0
)
assert tool_call.id == "test_id"
assert tool_call.name == "test_function"
assert tool_call.arguments == {"arg1": "value1"}
assert tool_call.index == 0
def test_tool_call_from_dict(self):
"""Test ToolCall creation from dictionary."""
data = {
"id": "call_123",
"name": "get_weather",
"arguments": {"location": "New York"},
"index": 1
}
tool_call = ToolCall.from_dict(data)
assert tool_call.id == "call_123"
assert tool_call.name == "get_weather"
assert tool_call.arguments == {"location": "New York"}
assert tool_call.index == 1
def test_tool_call_from_dict_missing_fields(self):
"""Test ToolCall creation with missing fields."""
data = {"name": "test_func"}
tool_call = ToolCall.from_dict(data)
assert tool_call.id == ""
assert tool_call.name == "test_func"
assert tool_call.arguments == {}
assert tool_call.index is None
class TestLLMResponse:
"""Test LLMResponse dataclass."""
def test_llm_response_creation(self):
"""Test basic LLMResponse creation."""
tool_calls = [ToolCall(id="1", name="func", arguments={})]
response = LLMResponse(
content="Hello",
tool_calls=tool_calls,
finish_reason="tool_calls",
raw_response={"test": "data"}
)
assert response.content == "Hello"
assert len(response.tool_calls) == 1
assert response.finish_reason == "tool_calls"
assert response.raw_response == {"test": "data"}
def test_requires_tool_call_true(self):
"""Test requires_tool_call property when tool calls are needed."""
tool_calls = [ToolCall(id="1", name="func", arguments={})]
response = LLMResponse(
content="",
tool_calls=tool_calls,
finish_reason="tool_calls",
raw_response={}
)
assert response.requires_tool_call is True
def test_requires_tool_call_false_no_tools(self):
"""Test requires_tool_call property when no tool calls."""
response = LLMResponse(
content="Hello",
tool_calls=[],
finish_reason="stop",
raw_response={}
)
assert response.requires_tool_call is False
def test_requires_tool_call_false_wrong_finish_reason(self):
"""Test requires_tool_call property with tools but wrong finish reason."""
tool_calls = [ToolCall(id="1", name="func", arguments={})]
response = LLMResponse(
content="Hello",
tool_calls=tool_calls,
finish_reason="stop",
raw_response={}
)
assert response.requires_tool_call is False
class ConcreteHandler(LLMHandler):
"""Concrete implementation for testing abstract base class."""
def parse_response(self, response: Any) -> LLMResponse:
return LLMResponse(
content=str(response),
tool_calls=[],
finish_reason="stop",
raw_response=response
)
def create_tool_message(self, tool_call: ToolCall, result: Any) -> Dict:
return {
"role": "tool",
"content": str(result),
"tool_call_id": tool_call.id
}
def _iterate_stream(self, response: Any) -> Generator:
for chunk in response:
yield chunk
class TestLLMHandler:
"""Test LLMHandler base class."""
def test_handler_initialization(self):
"""Test handler initialization."""
handler = ConcreteHandler()
assert handler.llm_calls == []
assert handler.tool_calls == []
def test_prepare_messages_no_attachments(self):
"""Test prepare_messages with no attachments."""
handler = ConcreteHandler()
messages = [{"role": "user", "content": "Hello"}]
mock_agent = Mock()
result = handler.prepare_messages(mock_agent, messages, None)
assert result == messages
def test_prepare_messages_with_supported_attachments(self):
"""Test prepare_messages with supported attachments."""
handler = ConcreteHandler()
messages = [{"role": "user", "content": "Hello"}]
attachments = [{"mime_type": "image/png", "path": "/test.png"}]
mock_agent = Mock()
mock_agent.llm.get_supported_attachment_types.return_value = ["image/png"]
mock_agent.llm.prepare_messages_with_attachments.return_value = messages
result = handler.prepare_messages(mock_agent, messages, attachments)
mock_agent.llm.prepare_messages_with_attachments.assert_called_once_with(
messages, attachments
)
assert result == messages
@patch('application.llm.handlers.base.logger')
def test_prepare_messages_with_unsupported_attachments(self, mock_logger):
"""Test prepare_messages with unsupported attachments."""
handler = ConcreteHandler()
messages = [{"role": "user", "content": "Hello"}]
attachments = [{"mime_type": "text/plain", "path": "/test.txt"}]
mock_agent = Mock()
mock_agent.llm.get_supported_attachment_types.return_value = ["image/png"]
with patch.object(handler, '_append_unsupported_attachments', return_value=messages) as mock_append:
result = handler.prepare_messages(mock_agent, messages, attachments)
mock_append.assert_called_once_with(messages, attachments)
assert result == messages
def test_prepare_messages_mixed_attachments(self):
"""Test prepare_messages with both supported and unsupported attachments."""
handler = ConcreteHandler()
messages = [{"role": "user", "content": "Hello"}]
attachments = [
{"mime_type": "image/png", "path": "/test.png"},
{"mime_type": "text/plain", "path": "/test.txt"}
]
mock_agent = Mock()
mock_agent.llm.get_supported_attachment_types.return_value = ["image/png"]
mock_agent.llm.prepare_messages_with_attachments.return_value = messages
with patch.object(handler, '_append_unsupported_attachments', return_value=messages) as mock_append:
result = handler.prepare_messages(mock_agent, messages, attachments)
# Should call both methods
mock_agent.llm.prepare_messages_with_attachments.assert_called_once()
mock_append.assert_called_once()
assert result == messages
def test_process_message_flow_non_streaming(self):
"""Test process_message_flow for non-streaming."""
handler = ConcreteHandler()
mock_agent = Mock()
initial_response = "test response"
tools_dict = {}
messages = [{"role": "user", "content": "Hello"}]
with patch.object(handler, 'prepare_messages', return_value=messages) as mock_prepare:
with patch.object(handler, 'handle_non_streaming', return_value="final") as mock_handle:
result = handler.process_message_flow(
mock_agent, initial_response, tools_dict, messages, stream=False
)
mock_prepare.assert_called_once_with(mock_agent, messages, None)
mock_handle.assert_called_once_with(mock_agent, initial_response, tools_dict, messages)
assert result == "final"
def test_process_message_flow_streaming(self):
"""Test process_message_flow for streaming."""
handler = ConcreteHandler()
mock_agent = Mock()
initial_response = "test response"
tools_dict = {}
messages = [{"role": "user", "content": "Hello"}]
def mock_generator():
yield "chunk1"
yield "chunk2"
with patch.object(handler, 'prepare_messages', return_value=messages) as mock_prepare:
with patch.object(handler, 'handle_streaming', return_value=mock_generator()) as mock_handle:
result = handler.process_message_flow(
mock_agent, initial_response, tools_dict, messages, stream=True
)
mock_prepare.assert_called_once_with(mock_agent, messages, None)
mock_handle.assert_called_once_with(mock_agent, initial_response, tools_dict, messages)
# Verify it's a generator
chunks = list(result)
assert chunks == ["chunk1", "chunk2"]

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@@ -1,270 +0,0 @@
from unittest.mock import Mock, patch
from types import SimpleNamespace
import uuid
from application.llm.handlers.google import GoogleLLMHandler
from application.llm.handlers.base import ToolCall, LLMResponse
class TestGoogleLLMHandler:
"""Test GoogleLLMHandler class."""
def test_handler_initialization(self):
"""Test handler initialization."""
handler = GoogleLLMHandler()
assert handler.llm_calls == []
assert handler.tool_calls == []
def test_parse_response_string_input(self):
"""Test parsing string response."""
handler = GoogleLLMHandler()
response = "Hello from Google!"
result = handler.parse_response(response)
assert isinstance(result, LLMResponse)
assert result.content == "Hello from Google!"
assert result.tool_calls == []
assert result.finish_reason == "stop"
assert result.raw_response == "Hello from Google!"
def test_parse_response_with_candidates_text_only(self):
"""Test parsing response with candidates containing only text."""
handler = GoogleLLMHandler()
mock_part = SimpleNamespace(text="Google response text")
mock_content = SimpleNamespace(parts=[mock_part])
mock_candidate = SimpleNamespace(content=mock_content)
mock_response = SimpleNamespace(candidates=[mock_candidate])
result = handler.parse_response(mock_response)
assert result.content == "Google response text"
assert result.tool_calls == []
assert result.finish_reason == "stop"
assert result.raw_response == mock_response
def test_parse_response_with_multiple_text_parts(self):
"""Test parsing response with multiple text parts."""
handler = GoogleLLMHandler()
mock_part1 = SimpleNamespace(text="First part")
mock_part2 = SimpleNamespace(text="Second part")
mock_content = SimpleNamespace(parts=[mock_part1, mock_part2])
mock_candidate = SimpleNamespace(content=mock_content)
mock_response = SimpleNamespace(candidates=[mock_candidate])
result = handler.parse_response(mock_response)
assert result.content == "First part Second part"
assert result.tool_calls == []
assert result.finish_reason == "stop"
@patch('uuid.uuid4')
def test_parse_response_with_function_call(self, mock_uuid):
"""Test parsing response with function call."""
mock_uuid.return_value = Mock(spec=uuid.UUID)
mock_uuid.return_value.__str__ = Mock(return_value="test-uuid-123")
handler = GoogleLLMHandler()
mock_function_call = SimpleNamespace(
name="get_weather",
args={"location": "San Francisco"}
)
mock_part = SimpleNamespace(function_call=mock_function_call)
mock_content = SimpleNamespace(parts=[mock_part])
mock_candidate = SimpleNamespace(content=mock_content)
mock_response = SimpleNamespace(candidates=[mock_candidate])
result = handler.parse_response(mock_response)
assert result.content == ""
assert len(result.tool_calls) == 1
assert result.tool_calls[0].id == "test-uuid-123"
assert result.tool_calls[0].name == "get_weather"
assert result.tool_calls[0].arguments == {"location": "San Francisco"}
assert result.finish_reason == "tool_calls"
@patch('uuid.uuid4')
def test_parse_response_with_mixed_parts(self, mock_uuid):
"""Test parsing response with both text and function call parts."""
mock_uuid.return_value = Mock(spec=uuid.UUID)
mock_uuid.return_value.__str__ = Mock(return_value="test-uuid-456")
handler = GoogleLLMHandler()
mock_text_part = SimpleNamespace(text="I'll check the weather for you.")
mock_function_call = SimpleNamespace(
name="get_weather",
args={"location": "NYC"}
)
mock_function_part = SimpleNamespace(function_call=mock_function_call)
mock_content = SimpleNamespace(parts=[mock_text_part, mock_function_part])
mock_candidate = SimpleNamespace(content=mock_content)
mock_response = SimpleNamespace(candidates=[mock_candidate])
result = handler.parse_response(mock_response)
assert result.content == "I'll check the weather for you."
assert len(result.tool_calls) == 1
assert result.tool_calls[0].name == "get_weather"
assert result.finish_reason == "tool_calls"
def test_parse_response_empty_candidates(self):
"""Test parsing response with empty candidates."""
handler = GoogleLLMHandler()
mock_response = SimpleNamespace(candidates=[])
result = handler.parse_response(mock_response)
assert result.content == ""
assert result.tool_calls == []
assert result.finish_reason == "stop"
def test_parse_response_parts_with_none_text(self):
"""Test parsing response with parts that have None text."""
handler = GoogleLLMHandler()
mock_part1 = SimpleNamespace(text=None)
mock_part2 = SimpleNamespace(text="Valid text")
mock_content = SimpleNamespace(parts=[mock_part1, mock_part2])
mock_candidate = SimpleNamespace(content=mock_content)
mock_response = SimpleNamespace(candidates=[mock_candidate])
result = handler.parse_response(mock_response)
assert result.content == "Valid text"
def test_parse_response_parts_without_text_attribute(self):
"""Test parsing response with parts missing text attribute."""
handler = GoogleLLMHandler()
mock_part1 = SimpleNamespace()
mock_part2 = SimpleNamespace(text="Valid text")
mock_content = SimpleNamespace(parts=[mock_part1, mock_part2])
mock_candidate = SimpleNamespace(content=mock_content)
mock_response = SimpleNamespace(candidates=[mock_candidate])
result = handler.parse_response(mock_response)
assert result.content == "Valid text"
@patch('uuid.uuid4')
def test_parse_response_direct_function_call(self, mock_uuid):
"""Test parsing response with direct function call (not in candidates)."""
mock_uuid.return_value = Mock(spec=uuid.UUID)
mock_uuid.return_value.__str__ = Mock(return_value="direct-uuid-789")
handler = GoogleLLMHandler()
mock_function_call = SimpleNamespace(
name="calculate",
args={"expression": "2+2"}
)
mock_response = SimpleNamespace(
function_call=mock_function_call,
text="The calculation result is:"
)
result = handler.parse_response(mock_response)
assert result.content == "The calculation result is:"
assert len(result.tool_calls) == 1
assert result.tool_calls[0].id == "direct-uuid-789"
assert result.tool_calls[0].name == "calculate"
assert result.tool_calls[0].arguments == {"expression": "2+2"}
assert result.finish_reason == "tool_calls"
def test_parse_response_direct_function_call_no_text(self):
"""Test parsing response with direct function call and no text."""
handler = GoogleLLMHandler()
mock_function_call = SimpleNamespace(
name="get_data",
args={"id": 123}
)
mock_response = SimpleNamespace(function_call=mock_function_call)
result = handler.parse_response(mock_response)
assert result.content == ""
assert len(result.tool_calls) == 1
assert result.tool_calls[0].name == "get_data"
assert result.finish_reason == "tool_calls"
def test_create_tool_message(self):
"""Test creating tool message."""
handler = GoogleLLMHandler()
tool_call = ToolCall(
id="call_123",
name="get_weather",
arguments={"location": "Tokyo"},
index=0
)
result = {"temperature": "25C", "condition": "cloudy"}
message = handler.create_tool_message(tool_call, result)
expected = {
"role": "model",
"content": [
{
"function_response": {
"name": "get_weather",
"response": {"result": result},
}
}
],
}
assert message == expected
def test_create_tool_message_string_result(self):
"""Test creating tool message with string result."""
handler = GoogleLLMHandler()
tool_call = ToolCall(id="call_456", name="get_time", arguments={})
result = "2023-12-01 15:30:00 JST"
message = handler.create_tool_message(tool_call, result)
assert message["role"] == "model"
assert message["content"][0]["function_response"]["response"]["result"] == result
assert message["content"][0]["function_response"]["name"] == "get_time"
def test_iterate_stream(self):
"""Test stream iteration."""
handler = GoogleLLMHandler()
mock_chunks = ["chunk1", "chunk2", "chunk3"]
result = list(handler._iterate_stream(mock_chunks))
assert result == mock_chunks
def test_iterate_stream_empty(self):
"""Test stream iteration with empty response."""
handler = GoogleLLMHandler()
result = list(handler._iterate_stream([]))
assert result == []
def test_parse_response_parts_without_function_call_attribute(self):
"""Test parsing response with parts missing function_call attribute."""
handler = GoogleLLMHandler()
mock_part = SimpleNamespace(text="Normal text")
mock_content = SimpleNamespace(parts=[mock_part])
mock_candidate = SimpleNamespace(content=mock_content)
mock_response = SimpleNamespace(candidates=[mock_candidate])
result = handler.parse_response(mock_response)
assert result.content == "Normal text"
assert result.tool_calls == []
assert result.finish_reason == "stop"

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@@ -1,125 +0,0 @@
from application.llm.handlers.handler_creator import LLMHandlerCreator
from application.llm.handlers.base import LLMHandler
from application.llm.handlers.openai import OpenAILLMHandler
from application.llm.handlers.google import GoogleLLMHandler
class TestLLMHandlerCreator:
"""Test LLMHandlerCreator class."""
def test_create_openai_handler(self):
"""Test creating OpenAI handler."""
handler = LLMHandlerCreator.create_handler("openai")
assert isinstance(handler, OpenAILLMHandler)
assert isinstance(handler, LLMHandler)
def test_create_openai_handler_case_insensitive(self):
"""Test creating OpenAI handler with different cases."""
handler_upper = LLMHandlerCreator.create_handler("OPENAI")
handler_mixed = LLMHandlerCreator.create_handler("OpenAI")
assert isinstance(handler_upper, OpenAILLMHandler)
assert isinstance(handler_mixed, OpenAILLMHandler)
def test_create_google_handler(self):
"""Test creating Google handler."""
handler = LLMHandlerCreator.create_handler("google")
assert isinstance(handler, GoogleLLMHandler)
assert isinstance(handler, LLMHandler)
def test_create_google_handler_case_insensitive(self):
"""Test creating Google handler with different cases."""
handler_upper = LLMHandlerCreator.create_handler("GOOGLE")
handler_mixed = LLMHandlerCreator.create_handler("Google")
assert isinstance(handler_upper, GoogleLLMHandler)
assert isinstance(handler_mixed, GoogleLLMHandler)
def test_create_default_handler(self):
"""Test creating default handler."""
handler = LLMHandlerCreator.create_handler("default")
assert isinstance(handler, OpenAILLMHandler)
def test_create_unknown_handler_fallback(self):
"""Test creating handler for unknown type falls back to OpenAI."""
handler = LLMHandlerCreator.create_handler("unknown_provider")
assert isinstance(handler, OpenAILLMHandler)
def test_create_anthropic_handler_fallback(self):
"""Test creating Anthropic handler falls back to OpenAI (not supported in handlers)."""
handler = LLMHandlerCreator.create_handler("anthropic")
assert isinstance(handler, OpenAILLMHandler)
def test_create_empty_string_handler_fallback(self):
"""Test creating handler with empty string falls back to OpenAI."""
handler = LLMHandlerCreator.create_handler("")
assert isinstance(handler, OpenAILLMHandler)
def test_handlers_registry(self):
"""Test the handlers registry contains expected mappings."""
expected_handlers = {
"openai": OpenAILLMHandler,
"google": GoogleLLMHandler,
"default": OpenAILLMHandler,
}
assert LLMHandlerCreator.handlers == expected_handlers
def test_create_handler_with_args(self):
"""Test creating handler with additional arguments."""
handler = LLMHandlerCreator.create_handler("openai")
assert isinstance(handler, OpenAILLMHandler)
assert handler.llm_calls == []
assert handler.tool_calls == []
def test_create_handler_with_kwargs(self):
"""Test creating handler with keyword arguments."""
handler = LLMHandlerCreator.create_handler("google")
assert isinstance(handler, GoogleLLMHandler)
assert handler.llm_calls == []
assert handler.tool_calls == []
def test_all_registered_handlers_are_valid(self):
"""Test that all registered handlers can be instantiated."""
for handler_type in LLMHandlerCreator.handlers.keys():
handler = LLMHandlerCreator.create_handler(handler_type)
assert isinstance(handler, LLMHandler)
assert hasattr(handler, 'parse_response')
assert hasattr(handler, 'create_tool_message')
assert hasattr(handler, '_iterate_stream')
def test_handler_inheritance(self):
"""Test that all created handlers inherit from LLMHandler."""
test_types = ["openai", "google", "default", "unknown"]
for handler_type in test_types:
handler = LLMHandlerCreator.create_handler(handler_type)
assert isinstance(handler, LLMHandler)
assert callable(getattr(handler, 'parse_response'))
assert callable(getattr(handler, 'create_tool_message'))
assert callable(getattr(handler, '_iterate_stream'))
def test_create_handler_preserves_handler_state(self):
"""Test that each created handler has independent state."""
handler1 = LLMHandlerCreator.create_handler("openai")
handler2 = LLMHandlerCreator.create_handler("openai")
handler1.llm_calls.append("test_call")
assert len(handler1.llm_calls) == 1
assert len(handler2.llm_calls) == 0
assert handler1 is not handler2

View File

@@ -1,208 +0,0 @@
from types import SimpleNamespace
from application.llm.handlers.openai import OpenAILLMHandler
from application.llm.handlers.base import ToolCall, LLMResponse
class TestOpenAILLMHandler:
"""Test OpenAILLMHandler class."""
def test_handler_initialization(self):
"""Test handler initialization."""
handler = OpenAILLMHandler()
assert handler.llm_calls == []
assert handler.tool_calls == []
def test_parse_response_string_input(self):
"""Test parsing string response."""
handler = OpenAILLMHandler()
response = "Hello, world!"
result = handler.parse_response(response)
assert isinstance(result, LLMResponse)
assert result.content == "Hello, world!"
assert result.tool_calls == []
assert result.finish_reason == "stop"
assert result.raw_response == "Hello, world!"
def test_parse_response_with_message_content(self):
"""Test parsing response with message content."""
handler = OpenAILLMHandler()
# Mock OpenAI response structure
mock_message = SimpleNamespace(content="Test content", tool_calls=None)
mock_response = SimpleNamespace(message=mock_message, finish_reason="stop")
result = handler.parse_response(mock_response)
assert result.content == "Test content"
assert result.tool_calls == []
assert result.finish_reason == "stop"
assert result.raw_response == mock_response
def test_parse_response_with_delta_content(self):
"""Test parsing response with delta content (streaming)."""
handler = OpenAILLMHandler()
# Mock streaming response structure
mock_delta = SimpleNamespace(content="Stream chunk", tool_calls=None)
mock_response = SimpleNamespace(delta=mock_delta, finish_reason="")
result = handler.parse_response(mock_response)
assert result.content == "Stream chunk"
assert result.tool_calls == []
assert result.finish_reason == ""
assert result.raw_response == mock_response
def test_parse_response_with_tool_calls(self):
"""Test parsing response with tool calls."""
handler = OpenAILLMHandler()
# Mock tool call structure
mock_function = SimpleNamespace(name="get_weather", arguments='{"location": "NYC"}')
mock_tool_call = SimpleNamespace(
id="call_123",
function=mock_function,
index=0
)
mock_message = SimpleNamespace(content="", tool_calls=[mock_tool_call])
mock_response = SimpleNamespace(message=mock_message, finish_reason="tool_calls")
result = handler.parse_response(mock_response)
assert result.content == ""
assert len(result.tool_calls) == 1
assert result.tool_calls[0].id == "call_123"
assert result.tool_calls[0].name == "get_weather"
assert result.tool_calls[0].arguments == '{"location": "NYC"}'
assert result.tool_calls[0].index == 0
assert result.finish_reason == "tool_calls"
def test_parse_response_with_multiple_tool_calls(self):
"""Test parsing response with multiple tool calls."""
handler = OpenAILLMHandler()
# Mock multiple tool calls
mock_function1 = SimpleNamespace(name="get_weather", arguments='{"location": "NYC"}')
mock_function2 = SimpleNamespace(name="get_time", arguments='{"timezone": "UTC"}')
mock_tool_call1 = SimpleNamespace(id="call_1", function=mock_function1, index=0)
mock_tool_call2 = SimpleNamespace(id="call_2", function=mock_function2, index=1)
mock_message = SimpleNamespace(content="", tool_calls=[mock_tool_call1, mock_tool_call2])
mock_response = SimpleNamespace(message=mock_message, finish_reason="tool_calls")
result = handler.parse_response(mock_response)
assert len(result.tool_calls) == 2
assert result.tool_calls[0].name == "get_weather"
assert result.tool_calls[1].name == "get_time"
def test_parse_response_empty_tool_calls(self):
"""Test parsing response with empty tool_calls."""
handler = OpenAILLMHandler()
mock_message = SimpleNamespace(content="No tools needed", tool_calls=None)
mock_response = SimpleNamespace(message=mock_message, finish_reason="stop")
result = handler.parse_response(mock_response)
assert result.content == "No tools needed"
assert result.tool_calls == []
assert result.finish_reason == "stop"
def test_parse_response_missing_attributes(self):
"""Test parsing response with missing attributes."""
handler = OpenAILLMHandler()
# Mock response with missing attributes
mock_message = SimpleNamespace() # No content or tool_calls
mock_response = SimpleNamespace(message=mock_message) # No finish_reason
result = handler.parse_response(mock_response)
assert result.content == ""
assert result.tool_calls == []
assert result.finish_reason == ""
def test_create_tool_message(self):
"""Test creating tool message."""
handler = OpenAILLMHandler()
tool_call = ToolCall(
id="call_123",
name="get_weather",
arguments={"location": "NYC"},
index=0
)
result = {"temperature": "72F", "condition": "sunny"}
message = handler.create_tool_message(tool_call, result)
expected = {
"role": "tool",
"content": [
{
"function_response": {
"name": "get_weather",
"response": {"result": result},
"call_id": "call_123",
}
}
],
}
assert message == expected
def test_create_tool_message_string_result(self):
"""Test creating tool message with string result."""
handler = OpenAILLMHandler()
tool_call = ToolCall(id="call_456", name="get_time", arguments={})
result = "2023-12-01 10:30:00"
message = handler.create_tool_message(tool_call, result)
assert message["role"] == "tool"
assert message["content"][0]["function_response"]["response"]["result"] == result
assert message["content"][0]["function_response"]["call_id"] == "call_456"
def test_iterate_stream(self):
"""Test stream iteration."""
handler = OpenAILLMHandler()
# Mock streaming response
mock_chunks = ["chunk1", "chunk2", "chunk3"]
result = list(handler._iterate_stream(mock_chunks))
assert result == mock_chunks
def test_iterate_stream_empty(self):
"""Test stream iteration with empty response."""
handler = OpenAILLMHandler()
result = list(handler._iterate_stream([]))
assert result == []
def test_parse_response_tool_call_missing_attributes(self):
"""Test parsing tool calls with missing attributes."""
handler = OpenAILLMHandler()
# Mock tool call with missing attributes
mock_function = SimpleNamespace() # No name or arguments
mock_tool_call = SimpleNamespace(function=mock_function) # No id or index
mock_message = SimpleNamespace(content="", tool_calls=[mock_tool_call])
mock_response = SimpleNamespace(message=mock_message, finish_reason="tool_calls")
result = handler.parse_response(mock_response)
assert len(result.tool_calls) == 1
assert result.tool_calls[0].id == ""
assert result.tool_calls[0].name == ""
assert result.tool_calls[0].arguments == ""
assert result.tool_calls[0].index is None

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@@ -0,0 +1,68 @@
import unittest
from unittest.mock import patch, Mock
from application.llm.anthropic import AnthropicLLM
class TestAnthropicLLM(unittest.TestCase):
def setUp(self):
self.api_key = "TEST_API_KEY"
self.llm = AnthropicLLM(api_key=self.api_key)
@patch("application.llm.anthropic.settings")
def test_init_default_api_key(self, mock_settings):
mock_settings.ANTHROPIC_API_KEY = "DEFAULT_API_KEY"
llm = AnthropicLLM()
self.assertEqual(llm.api_key, "DEFAULT_API_KEY")
def test_gen(self):
messages = [
{"content": "context"},
{"content": "question"}
]
mock_response = Mock()
mock_response.completion = "test completion"
with patch("application.cache.get_redis_instance") as mock_make_redis:
mock_redis_instance = mock_make_redis.return_value
mock_redis_instance.get.return_value = None
mock_redis_instance.set = Mock()
with patch.object(self.llm.anthropic.completions, "create", return_value=mock_response) as mock_create:
response = self.llm.gen("test_model", messages)
self.assertEqual(response, "test completion")
prompt_expected = "### Context \n context \n ### Question \n question"
mock_create.assert_called_with(
model="test_model",
max_tokens_to_sample=300,
stream=False,
prompt=f"{self.llm.HUMAN_PROMPT} {prompt_expected}{self.llm.AI_PROMPT}"
)
mock_redis_instance.set.assert_called_once()
def test_gen_stream(self):
messages = [
{"content": "context"},
{"content": "question"}
]
mock_responses = [Mock(completion="response_1"), Mock(completion="response_2")]
mock_tools = Mock()
with patch("application.cache.get_redis_instance") as mock_make_redis:
mock_redis_instance = mock_make_redis.return_value
mock_redis_instance.get.return_value = None
mock_redis_instance.set = Mock()
with patch.object(self.llm.anthropic.completions, "create", return_value=iter(mock_responses)) as mock_create:
responses = list(self.llm.gen_stream("test_model", messages, tools=mock_tools))
self.assertListEqual(responses, ["response_1", "response_2"])
prompt_expected = "### Context \n context \n ### Question \n question"
mock_create.assert_called_with(
model="test_model",
prompt=f"{self.llm.HUMAN_PROMPT} {prompt_expected}{self.llm.AI_PROMPT}",
max_tokens_to_sample=300,
stream=True
)
if __name__ == "__main__":
unittest.main()

View File

@@ -1,65 +0,0 @@
import sys
import types
import pytest
class _FakeCompletion:
def __init__(self, text):
self.completion = text
class _FakeCompletions:
def __init__(self):
self.last_kwargs = None
self._stream = [_FakeCompletion("s1"), _FakeCompletion("s2")]
def create(self, **kwargs):
self.last_kwargs = kwargs
if kwargs.get("stream"):
return self._stream
return _FakeCompletion("final")
class _FakeAnthropic:
def __init__(self, api_key=None):
self.api_key = api_key
self.completions = _FakeCompletions()
@pytest.fixture(autouse=True)
def patch_anthropic(monkeypatch):
fake = types.ModuleType("anthropic")
fake.Anthropic = _FakeAnthropic
fake.HUMAN_PROMPT = "<HUMAN>"
fake.AI_PROMPT = "<AI>"
sys.modules["anthropic"] = fake
yield
sys.modules.pop("anthropic", None)
def test_anthropic_raw_gen_builds_prompt_and_returns_completion():
from application.llm.anthropic import AnthropicLLM
llm = AnthropicLLM(api_key="k")
msgs = [
{"content": "ctx"},
{"content": "q"},
]
out = llm._raw_gen(llm, model="claude-2", messages=msgs, stream=False, max_tokens=55)
assert out == "final"
last = llm.anthropic.completions.last_kwargs
assert last["model"] == "claude-2"
assert last["max_tokens_to_sample"] == 55
assert last["prompt"].startswith("<HUMAN>") and last["prompt"].endswith("<AI>")
assert "### Context" in last["prompt"] and "### Question" in last["prompt"]
def test_anthropic_raw_gen_stream_yields_chunks():
from application.llm.anthropic import AnthropicLLM
llm = AnthropicLLM(api_key="k")
msgs = [
{"content": "ctx"},
{"content": "q"},
]
gen = llm._raw_gen_stream(llm, model="claude", messages=msgs, stream=True, max_tokens=10)
chunks = list(gen)
assert chunks == ["s1", "s2"]

View File

@@ -1,151 +0,0 @@
import types
import pytest
from application.llm.google_ai import GoogleLLM
class _FakePart:
def __init__(self, text=None, function_call=None, file_data=None):
self.text = text
self.function_call = function_call
self.file_data = file_data
@staticmethod
def from_text(text):
return _FakePart(text=text)
@staticmethod
def from_function_call(name, args):
return _FakePart(function_call=types.SimpleNamespace(name=name, args=args))
@staticmethod
def from_function_response(name, response):
# not used in assertions but present for completeness
return _FakePart(function_call=None, text=str(response))
@staticmethod
def from_uri(file_uri, mime_type):
# mimic presence of file data for streaming detection
return _FakePart(file_data=types.SimpleNamespace(file_uri=file_uri, mime_type=mime_type))
class _FakeContent:
def __init__(self, role, parts):
self.role = role
self.parts = parts
class FakeTypesModule:
Part = _FakePart
Content = _FakeContent
class GenerateContentConfig:
def __init__(self):
self.system_instruction = None
self.tools = None
self.response_schema = None
self.response_mime_type = None
class FakeModels:
def __init__(self):
self.last_args = None
self.last_kwargs = None
class _Resp:
def __init__(self, text=None, candidates=None):
self.text = text
self.candidates = candidates or []
def generate_content(self, *args, **kwargs):
self.last_args, self.last_kwargs = args, kwargs
return FakeModels._Resp(text="ok")
def generate_content_stream(self, *args, **kwargs):
self.last_args, self.last_kwargs = args, kwargs
# Simulate stream of text parts
part1 = types.SimpleNamespace(text="a", candidates=None)
part2 = types.SimpleNamespace(text="b", candidates=None)
return [part1, part2]
class FakeClient:
def __init__(self, *_, **__):
self.models = FakeModels()
@pytest.fixture(autouse=True)
def patch_google_modules(monkeypatch):
# Patch the types module used by GoogleLLM
import application.llm.google_ai as gmod
monkeypatch.setattr(gmod, "types", FakeTypesModule)
monkeypatch.setattr(gmod.genai, "Client", FakeClient)
def test_clean_messages_google_basic():
llm = GoogleLLM(api_key="key")
msgs = [
{"role": "assistant", "content": "hi"},
{"role": "user", "content": [
{"text": "hello"},
{"files": [{"file_uri": "gs://x", "mime_type": "image/png"}]},
{"function_call": {"name": "fn", "args": {"a": 1}}},
]},
]
cleaned = llm._clean_messages_google(msgs)
assert all(hasattr(c, "role") and hasattr(c, "parts") for c in cleaned)
assert any(c.role == "model" for c in cleaned)
assert any(hasattr(p, "text") for c in cleaned for p in c.parts)
def test_raw_gen_calls_google_client_and_returns_text():
llm = GoogleLLM(api_key="key")
msgs = [{"role": "user", "content": "hello"}]
out = llm._raw_gen(llm, model="gemini-2.0", messages=msgs, stream=False)
assert out == "ok"
def test_raw_gen_stream_yields_chunks():
llm = GoogleLLM(api_key="key")
msgs = [{"role": "user", "content": "hello"}]
gen = llm._raw_gen_stream(llm, model="gemini", messages=msgs, stream=True)
assert list(gen) == ["a", "b"]
def test_prepare_structured_output_format_type_mapping():
llm = GoogleLLM(api_key="key")
schema = {
"type": "object",
"properties": {
"a": {"type": "string"},
"b": {"type": "array", "items": {"type": "integer"}},
},
"required": ["a"],
}
out = llm.prepare_structured_output_format(schema)
assert out["type"] == "OBJECT"
assert out["properties"]["a"]["type"] == "STRING"
assert out["properties"]["b"]["type"] == "ARRAY"
def test_prepare_messages_with_attachments_appends_files(monkeypatch):
llm = GoogleLLM(api_key="key")
llm.storage = types.SimpleNamespace(
file_exists=lambda path: True,
process_file=lambda path, processor_func, **kwargs: "gs://file_uri"
)
monkeypatch.setattr(llm, "_upload_file_to_google", lambda att: "gs://file_uri")
messages = [{"role": "user", "content": "Hi"}]
attachments = [
{"path": "/tmp/img.png", "mime_type": "image/png"},
{"path": "/tmp/doc.pdf", "mime_type": "application/pdf"},
]
out = llm.prepare_messages_with_attachments(messages, attachments)
user_msg = next(m for m in out if m["role"] == "user")
assert isinstance(user_msg["content"], list)
files_entry = next((p for p in user_msg["content"] if isinstance(p, dict) and "files" in p), None)
assert files_entry is not None
assert isinstance(files_entry["files"], list) and len(files_entry["files"]) == 2

11
tests/llm/test_openai.py Normal file
View File

@@ -0,0 +1,11 @@
import unittest
from application.llm.openai import OpenAILLM
class TestOpenAILLM(unittest.TestCase):
def setUp(self):
self.api_key = "test_api_key"
self.llm = OpenAILLM(self.api_key)
def test_init(self):
self.assertEqual(self.llm.api_key, self.api_key)

View File

@@ -1,157 +0,0 @@
import types
import pytest
from application.llm.openai import OpenAILLM
class FakeChatCompletions:
def __init__(self):
self.last_kwargs = None
class _Msg:
def __init__(self, content=None, tool_calls=None):
self.content = content
self.tool_calls = tool_calls
class _Delta:
def __init__(self, content=None):
self.content = content
class _Choice:
def __init__(self, content=None, delta=None, finish_reason="stop"):
self.message = FakeChatCompletions._Msg(content=content)
self.delta = FakeChatCompletions._Delta(content=delta)
self.finish_reason = finish_reason
class _StreamLine:
def __init__(self, deltas):
self.choices = [FakeChatCompletions._Choice(delta=d) for d in deltas]
class _Response:
def __init__(self, choices=None, lines=None):
self._choices = choices or []
self._lines = lines or []
@property
def choices(self):
return self._choices
def __iter__(self):
for line in self._lines:
yield line
def create(self, **kwargs):
self.last_kwargs = kwargs
# default non-streaming: return content
if not kwargs.get("stream"):
return FakeChatCompletions._Response(choices=[
FakeChatCompletions._Choice(content="hello world")
])
# streaming: yield line objects each with choices[0].delta.content
return FakeChatCompletions._Response(lines=[
FakeChatCompletions._StreamLine(["part1"]),
FakeChatCompletions._StreamLine(["part2"]),
])
class FakeClient:
def __init__(self):
self.chat = types.SimpleNamespace(completions=FakeChatCompletions())
@pytest.fixture
def openai_llm(monkeypatch):
llm = OpenAILLM(api_key="sk-test", user_api_key=None)
llm.storage = types.SimpleNamespace(
get_file=lambda path: types.SimpleNamespace(read=lambda: b"img"),
file_exists=lambda path: True,
process_file=lambda path, processor_func, **kwargs: "file_id_123",
)
llm.client = FakeClient()
return llm
def test_clean_messages_openai_variants(openai_llm):
messages = [
{"role": "system", "content": "sys"},
{"role": "model", "content": "asst"},
{"role": "user", "content": [
{"text": "hello"},
{"function_call": {"call_id": "c1", "name": "fn", "args": {"a": 1}}},
{"function_response": {"call_id": "c1", "name": "fn", "response": {"result": 42}}},
{"type": "image_url", "image_url": {"url": "data:image/png;base64,AAA"}},
]},
]
cleaned = openai_llm._clean_messages_openai(messages)
roles = [m["role"] for m in cleaned]
assert roles.count("assistant") >= 1
assert any(m["role"] == "tool" for m in cleaned)
assert any(isinstance(m["content"], list) and any(
part.get("type") == "image_url" for part in m["content"] if isinstance(part, dict)
) for m in cleaned if m["role"] == "user")
def test_raw_gen_calls_openai_client_and_returns_content(openai_llm):
msgs = [
{"role": "system", "content": "sys"},
{"role": "user", "content": "hello"},
]
content = openai_llm._raw_gen(openai_llm, model="gpt-4o", messages=msgs, stream=False)
assert content == "hello world"
passed = openai_llm.client.chat.completions.last_kwargs
assert passed["model"] == "gpt-4o"
assert isinstance(passed["messages"], list)
assert passed["stream"] is False
def test_raw_gen_stream_yields_chunks(openai_llm):
msgs = [
{"role": "user", "content": "hi"},
]
gen = openai_llm._raw_gen_stream(openai_llm, model="gpt", messages=msgs, stream=True)
chunks = list(gen)
assert "part1" in "".join(chunks)
assert "part2" in "".join(chunks)
def test_prepare_structured_output_format_enforces_required_and_strict(openai_llm):
schema = {
"type": "object",
"properties": {
"a": {"type": "string"},
"b": {"type": "number"},
},
}
result = openai_llm.prepare_structured_output_format(schema)
assert result["type"] == "json_schema"
js = result["json_schema"]
assert js["strict"] is True
assert set(js["schema"]["required"]) == {"a", "b"}
assert js["schema"]["additionalProperties"] is False
def test_prepare_messages_with_attachments_image_and_pdf(openai_llm, monkeypatch):
monkeypatch.setattr(openai_llm, "_get_base64_image", lambda att: "AAA=")
monkeypatch.setattr(openai_llm, "_upload_file_to_openai", lambda att: "file_xyz")
messages = [{"role": "user", "content": "Hi"}]
attachments = [
{"path": "/tmp/img.png", "mime_type": "image/png"},
{"path": "/tmp/doc.pdf", "mime_type": "application/pdf"},
]
out = openai_llm.prepare_messages_with_attachments(messages, attachments)
# last user message should have list content with text and two attachments
user_msg = next(m for m in out if m["role"] == "user")
assert isinstance(user_msg["content"], list)
types_in_content = [p.get("type") for p in user_msg["content"] if isinstance(p, dict)]
assert "image_url" in types_in_content or any(
isinstance(p, dict) and p.get("image_url") for p in user_msg["content"]
)
assert any(isinstance(p, dict) and p.get("file", {}).get("file_id") == "file_xyz" for p in user_msg["content"])

View File

@@ -1,117 +0,0 @@
import pytest
from pathlib import Path
from unittest.mock import patch, MagicMock
from application.parser.file.docs_parser import PDFParser, DocxParser
@pytest.fixture
def pdf_parser():
return PDFParser()
@pytest.fixture
def docx_parser():
return DocxParser()
def test_pdf_init_parser():
parser = PDFParser()
assert isinstance(parser._init_parser(), dict)
assert not parser.parser_config_set
parser.init_parser()
assert parser.parser_config_set
def test_docx_init_parser():
parser = DocxParser()
assert isinstance(parser._init_parser(), dict)
assert not parser.parser_config_set
parser.init_parser()
assert parser.parser_config_set
@patch("application.parser.file.docs_parser.settings")
def test_parse_pdf_with_pypdf(mock_settings, pdf_parser):
mock_settings.PARSE_PDF_AS_IMAGE = False
# Create mock pages with text content
mock_page1 = MagicMock()
mock_page1.extract_text.return_value = "Test PDF content page 1"
mock_page2 = MagicMock()
mock_page2.extract_text.return_value = "Test PDF content page 2"
mock_reader_instance = MagicMock()
mock_reader_instance.pages = [mock_page1, mock_page2]
original_parse_file = pdf_parser.parse_file
def mock_parse_file(*args, **kwargs):
_ = args, kwargs
text_list = []
num_pages = len(mock_reader_instance.pages)
for page_index in range(num_pages):
page = mock_reader_instance.pages[page_index]
page_text = page.extract_text()
text_list.append(page_text)
text = "\n".join(text_list)
return text
pdf_parser.parse_file = mock_parse_file
try:
result = pdf_parser.parse_file(Path("test.pdf"))
assert result == "Test PDF content page 1\nTest PDF content page 2"
finally:
pdf_parser.parse_file = original_parse_file
@patch("application.parser.file.docs_parser.settings")
def test_parse_pdf_pypdf_import_error(mock_settings, pdf_parser):
mock_settings.PARSE_PDF_AS_IMAGE = False
original_parse_file = pdf_parser.parse_file
def mock_parse_file(*args, **kwargs):
_ = args, kwargs
raise ValueError("pypdf is required to read PDF files.")
pdf_parser.parse_file = mock_parse_file
try:
with pytest.raises(ValueError, match="pypdf is required to read PDF files"):
pdf_parser.parse_file(Path("test.pdf"))
finally:
pdf_parser.parse_file = original_parse_file
def test_parse_docx(docx_parser):
original_parse_file = docx_parser.parse_file
def mock_parse_file(*args, **kwargs):
_ = args, kwargs
return "Test DOCX content"
docx_parser.parse_file = mock_parse_file
try:
result = docx_parser.parse_file(Path("test.docx"))
assert result == "Test DOCX content"
finally:
docx_parser.parse_file = original_parse_file
def test_parse_docx_import_error(docx_parser):
original_parse_file = docx_parser.parse_file
def mock_parse_file(*args, **kwargs):
_ = args, kwargs
raise ValueError("docx2txt is required to read Microsoft Word files.")
docx_parser.parse_file = mock_parse_file
try:
with pytest.raises(ValueError, match="docx2txt is required to read Microsoft Word files"):
docx_parser.parse_file(Path("test.docx"))
finally:
docx_parser.parse_file = original_parse_file

View File

@@ -1,152 +0,0 @@
import pytest
from pathlib import Path
from unittest.mock import patch, MagicMock
import sys
import types
from application.parser.file.epub_parser import EpubParser
@pytest.fixture
def epub_parser():
return EpubParser()
def test_epub_init_parser():
parser = EpubParser()
assert isinstance(parser._init_parser(), dict)
assert not parser.parser_config_set
parser.init_parser()
assert parser.parser_config_set
def test_epub_parser_ebooklib_import_error(epub_parser):
"""Test that ImportError is raised when ebooklib is not available."""
with patch.dict(sys.modules, {"ebooklib": None}):
with pytest.raises(ValueError, match="`EbookLib` is required to read Epub files"):
epub_parser.parse_file(Path("test.epub"))
def test_epub_parser_html2text_import_error(epub_parser):
"""Test that ImportError is raised when html2text is not available."""
fake_ebooklib = types.ModuleType("ebooklib")
fake_epub = types.ModuleType("ebooklib.epub")
fake_ebooklib.epub = fake_epub
with patch.dict(sys.modules, {"ebooklib": fake_ebooklib, "ebooklib.epub": fake_epub}):
with patch.dict(sys.modules, {"html2text": None}):
with pytest.raises(ValueError, match="`html2text` is required to parse Epub files"):
epub_parser.parse_file(Path("test.epub"))
def test_epub_parser_successful_parsing(epub_parser):
"""Test successful parsing of an epub file."""
fake_ebooklib = types.ModuleType("ebooklib")
fake_epub = types.ModuleType("ebooklib.epub")
fake_html2text = types.ModuleType("html2text")
# Mock ebooklib constants
fake_ebooklib.ITEM_DOCUMENT = "document"
fake_ebooklib.epub = fake_epub
mock_item1 = MagicMock()
mock_item1.get_type.return_value = "document"
mock_item1.get_content.return_value = b"<h1>Chapter 1</h1><p>Content 1</p>"
mock_item2 = MagicMock()
mock_item2.get_type.return_value = "document"
mock_item2.get_content.return_value = b"<h1>Chapter 2</h1><p>Content 2</p>"
mock_item3 = MagicMock()
mock_item3.get_type.return_value = "other" # Should be ignored
mock_item3.get_content.return_value = b"<p>Other content</p>"
mock_book = MagicMock()
mock_book.get_items.return_value = [mock_item1, mock_item2, mock_item3]
fake_epub.read_epub = MagicMock(return_value=mock_book)
def mock_html2text_func(html_content):
if "Chapter 1" in html_content:
return "# Chapter 1\n\nContent 1\n"
elif "Chapter 2" in html_content:
return "# Chapter 2\n\nContent 2\n"
return "Other content\n"
fake_html2text.html2text = mock_html2text_func
with patch.dict(sys.modules, {
"ebooklib": fake_ebooklib,
"ebooklib.epub": fake_epub,
"html2text": fake_html2text
}):
result = epub_parser.parse_file(Path("test.epub"))
expected_result = "# Chapter 1\n\nContent 1\n\n# Chapter 2\n\nContent 2\n"
assert result == expected_result
# Verify epub.read_epub was called with correct parameters
fake_epub.read_epub.assert_called_once_with(Path("test.epub"), options={"ignore_ncx": True})
def test_epub_parser_empty_book(epub_parser):
"""Test parsing an epub file with no document items."""
# Create mock modules
fake_ebooklib = types.ModuleType("ebooklib")
fake_epub = types.ModuleType("ebooklib.epub")
fake_html2text = types.ModuleType("html2text")
fake_ebooklib.ITEM_DOCUMENT = "document"
fake_ebooklib.epub = fake_epub
# Create mock book with no document items
mock_book = MagicMock()
mock_book.get_items.return_value = []
fake_epub.read_epub = MagicMock(return_value=mock_book)
fake_html2text.html2text = MagicMock()
with patch.dict(sys.modules, {
"ebooklib": fake_ebooklib,
"ebooklib.epub": fake_epub,
"html2text": fake_html2text
}):
result = epub_parser.parse_file(Path("empty.epub"))
assert result == ""
fake_html2text.html2text.assert_not_called()
def test_epub_parser_non_document_items_ignored(epub_parser):
"""Test that non-document items are ignored during parsing."""
fake_ebooklib = types.ModuleType("ebooklib")
fake_epub = types.ModuleType("ebooklib.epub")
fake_html2text = types.ModuleType("html2text")
fake_ebooklib.ITEM_DOCUMENT = "document"
fake_ebooklib.epub = fake_epub
mock_doc_item = MagicMock()
mock_doc_item.get_type.return_value = "document"
mock_doc_item.get_content.return_value = b"<p>Document content</p>"
mock_other_item = MagicMock()
mock_other_item.get_type.return_value = "image" # Not a document
mock_book = MagicMock()
mock_book.get_items.return_value = [mock_other_item, mock_doc_item]
fake_epub.read_epub = MagicMock(return_value=mock_book)
fake_html2text.html2text = MagicMock(return_value="Document content\n")
with patch.dict(sys.modules, {
"ebooklib": fake_ebooklib,
"ebooklib.epub": fake_epub,
"html2text": fake_html2text
}):
result = epub_parser.parse_file(Path("test.epub"))
assert result == "Document content\n"
fake_html2text.html2text.assert_called_once_with("<p>Document content</p>")

View File

@@ -1,43 +0,0 @@
import pytest
from pathlib import Path
from unittest.mock import patch, MagicMock
import sys
import types
from application.parser.file.html_parser import HTMLParser
@pytest.fixture
def html_parser():
return HTMLParser()
def test_html_init_parser():
parser = HTMLParser()
assert isinstance(parser._init_parser(), dict)
assert not parser.parser_config_set
parser.init_parser()
assert parser.parser_config_set
def test_html_parser_parse_file():
parser = HTMLParser()
mock_doc = MagicMock()
mock_doc.page_content = "Extracted HTML content"
mock_doc.metadata = {"source": "test.html"}
fake_lc = types.ModuleType("langchain_community")
fake_dl = types.ModuleType("langchain_community.document_loaders")
bshtml_mock = MagicMock(return_value=MagicMock(load=MagicMock(return_value=[mock_doc])))
fake_dl.BSHTMLLoader = bshtml_mock
fake_lc.document_loaders = fake_dl
with patch.dict(sys.modules, {
"langchain_community": fake_lc,
"langchain_community.document_loaders": fake_dl,
}):
result = parser.parse_file(Path("test.html"))
assert result == [mock_doc]
bshtml_mock.assert_called_once_with(Path("test.html"))

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@@ -1,41 +0,0 @@
from pathlib import Path
from unittest.mock import patch, MagicMock, mock_open
from application.parser.file.image_parser import ImageParser
def test_image_init_parser():
parser = ImageParser()
assert isinstance(parser._init_parser(), dict)
assert not parser.parser_config_set
parser.init_parser()
assert parser.parser_config_set
@patch("application.parser.file.image_parser.settings")
def test_image_parser_remote_true(mock_settings):
mock_settings.PARSE_IMAGE_REMOTE = True
parser = ImageParser()
mock_response = MagicMock()
mock_response.json.return_value = {"markdown": "# From Image"}
with patch("application.parser.file.image_parser.requests.post", return_value=mock_response) as mock_post:
with patch("builtins.open", mock_open()):
result = parser.parse_file(Path("img.png"))
assert result == "# From Image"
mock_post.assert_called_once()
@patch("application.parser.file.image_parser.settings")
def test_image_parser_remote_false(mock_settings):
mock_settings.PARSE_IMAGE_REMOTE = False
parser = ImageParser()
with patch("application.parser.file.image_parser.requests.post") as mock_post:
result = parser.parse_file(Path("img.png"))
assert result == ""
mock_post.assert_not_called()

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@@ -1,49 +0,0 @@
from pathlib import Path
from unittest.mock import patch, mock_open
from application.parser.file.json_parser import JSONParser
def test_json_init_parser():
parser = JSONParser()
assert isinstance(parser._init_parser(), dict)
assert not parser.parser_config_set
parser.init_parser()
assert parser.parser_config_set
def test_json_parser_parses_dict_concat():
parser = JSONParser()
with patch("builtins.open", mock_open(read_data="{}")):
with patch("json.load", return_value={"a": 1}):
result = parser.parse_file(Path("t.json"))
assert result == "{'a': 1}"
def test_json_parser_parses_list_no_concat():
parser = JSONParser()
parser._concat_rows = False
data = [{"a": 1}, {"b": 2}]
with patch("builtins.open", mock_open(read_data="[]")):
with patch("json.load", return_value=data):
result = parser.parse_file(Path("t.json"))
assert result == data
def test_json_parser_row_joiner_config():
parser = JSONParser(row_joiner=" || ")
with patch("builtins.open", mock_open(read_data="[]")):
with patch("json.load", return_value=[{"a": 1}, {"b": 2}]):
result = parser.parse_file(Path("t.json"))
assert result == "{'a': 1} || {'b': 2}"
def test_json_parser_forwards_json_config():
def pf(s):
return 1.23
parser = JSONParser(json_config={"parse_float": pf})
with patch("builtins.open", mock_open(read_data="[]")):
with patch("json.load", return_value=[]) as mock_load:
parser.parse_file(Path("t.json"))
assert mock_load.call_args.kwargs.get("parse_float") is pf

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