File size: 19,321 Bytes
4d393e8 bbd870f a46398e 0d686d3 4d393e8 0d686d3 4d393e8 0d686d3 bbd870f 0d686d3 bbd870f a46398e bbd870f 0d686d3 bbd870f 0d686d3 4d393e8 bbd870f 4d393e8 bbd870f 4d393e8 bbd870f 0d686d3 bbd870f 0d686d3 bbd870f 0d686d3 bbd870f 0d686d3 e7e25da bbd870f 4d393e8 bbd870f 4d393e8 b5a1b3b e3f3c8e b5a1b3b 332cc17 b5a1b3b 332cc17 b5a1b3b 332cc17 b5a1b3b 4d393e8 deaecc7 4d393e8 bbd870f 4d393e8 bbd870f 1fa5c67 4d393e8 bbd870f 4d393e8 bbd870f 4d393e8 bbd870f 4d393e8 bbd870f 4d393e8 bbd870f 4d393e8 bbd870f 4d393e8 1fa5c67 4d393e8 1fa5c67 4d393e8 bbd870f 1fa5c67 bbd870f 4d393e8 1fa5c67 4d393e8 1fa5c67 4d393e8 1fa5c67 bbd870f 4d393e8 bbd870f 4d393e8 1fa5c67 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 | """
DiffWeave MCP Client Adapter.
Provides a unified, resilient interface to DocWeave's MCP services.
Supports:
1. Remote HTTP/SSE MCP transport (via DOCWEAVE_MCP_URL + DOCWEAVE_API_KEY or ~/.diffweave/credentials.json).
2. In-process dispatch (for high-speed local development with DocWeave on laptop).
3. Embedded standalone engine (offline / fallback mode).
"""
from __future__ import annotations
import asyncio
import json
import os
import sys
from pathlib import Path
from typing import Any, Optional
from diffweave.mcp.errors import MCPConnectionError, MCPToolError
class DiffWeaveMCPClient:
"""
Client for interacting with DocWeave MCP services (remote or local).
"""
def __init__(
self,
backend_dir: Optional[str] = None,
mcp_url: Optional[str] = None,
api_key: Optional[str] = None,
):
self.mcp_url = mcp_url or os.environ.get("DOCWEAVE_MCP_URL")
self.api_key = api_key or os.environ.get("DOCWEAVE_API_KEY")
self.backend_dir = None
self._standalone_engine = None
# Auto-resolve from ~/.diffweave/credentials.json if available
try:
from diffweave.cli.credentials import load_credentials
creds = load_credentials()
if creds:
if not self.api_key and creds.get("access_token"):
self.api_key = creds.get("access_token")
if not self.mcp_url and creds.get("mcp_url"):
self.mcp_url = creds.get("mcp_url")
except Exception:
pass
if self.mcp_url:
# Production remote cloud mode (e.g., https://your-docweave.hf.space)
self.mode = "remote"
# Local development check
if backend_dir:
cand = Path(backend_dir).resolve()
if cand.exists():
self.backend_dir = cand
else:
env_dir = os.environ.get("DOCWEAVE_BACKEND_DIR")
if env_dir and Path(env_dir).resolve().exists():
self.backend_dir = Path(env_dir).resolve()
else:
candidates = [
Path.cwd() / "backend",
Path.cwd().parent / "backend",
Path.cwd().parent / "DocWeave" / "backend",
Path("C:/Users/Adhi/Desktop/DocWeave/backend"),
Path.home() / "Desktop" / "DocWeave" / "backend",
]
for cand in candidates:
if cand.exists():
self.backend_dir = cand.resolve()
break
if self.backend_dir and self.backend_dir.exists():
self.mode = "in_process"
else:
# Standalone fallback mode
self.mode = "standalone"
from diffweave.mcp.standalone_engine import StandaloneEngine
self._standalone_engine = StandaloneEngine()
async def call_tool(self, name: str, arguments: Optional[dict[str, Any]] = None) -> Any:
"""
Execute an MCP tool by name.
"""
arguments = arguments or {}
# 1. Standalone Fallback
if self._standalone_engine:
return await self._standalone_engine.dispatch(name, arguments)
# 2. Remote Cloud MCP Transport (Production Deployed)
if self.mcp_url:
import httpx
headers = {"Content-Type": "application/json"}
if self.api_key:
headers["Authorization"] = f"Bearer {self.api_key}"
async with httpx.AsyncClient(timeout=120.0) as http_client:
# Try standard FastMCP endpoint
endpoint = f"{self.mcp_url.rstrip('/')}/tools/{name}"
try:
resp = await http_client.post(endpoint, json={"arguments": arguments}, headers=headers)
if resp.status_code == 404:
# Fallback to standard JSON-RPC 2.0 endpoint
rpc_payload = {
"jsonrpc": "2.0",
"id": "diffweave-1",
"method": "tools/call",
"params": {"name": name, "arguments": arguments},
}
resp = await http_client.post(self.mcp_url.rstrip('/'), json=rpc_payload, headers=headers)
resp.raise_for_status()
data = resp.json()
return data.get("result", data)
except Exception:
# Remote connection failed, fall through to local in-process / standalone fallback
pass
# 3. In-process dispatch with local DocWeave
backend_str = str(self.backend_dir)
if backend_str not in sys.path:
sys.path.insert(0, backend_str)
try:
from mcp_server import _dispatch, get_db, _get_current_user
except ImportError as e:
from diffweave.mcp.standalone_engine import StandaloneEngine
self._standalone_engine = StandaloneEngine()
return await self._standalone_engine.dispatch(name, arguments)
db = get_db()
try:
user = None
# 1. Resolve user from authenticated CLI credentials first
try:
from diffweave.cli.credentials import load_credentials
creds = load_credentials()
if creds and creds.get("email"):
from mcp_server import User
u = db.query(User).filter(User.email == creds["email"].strip().lower()).first()
if u:
user = u
except Exception:
pass
ws_id = arguments.get("workspace_id")
if not ws_id and "document_id" in arguments:
try:
from mcp_server import Document
doc = db.query(Document).filter(Document.id == arguments["document_id"]).first()
if doc:
ws_id = str(doc.workspace_id)
except Exception:
pass
if not ws_id and "proposal_id" in arguments:
try:
from mcp_server import Proposal
p = db.query(Proposal).filter(Proposal.id == arguments["proposal_id"]).first()
if p:
ws_id = str(p.workspace_id)
except Exception:
pass
if not ws_id and "item_id" in arguments:
try:
from mcp_server import KnowledgeItem
ki = db.query(KnowledgeItem).filter(KnowledgeItem.id == arguments["item_id"]).first()
if ki:
ws_id = str(ki.workspace_id)
except Exception:
pass
if ws_id:
try:
import uuid
from mcp_server import Workspace, User
from sqlalchemy import func
is_uuid = False
try:
uuid.UUID(str(ws_id).strip())
is_uuid = True
except Exception:
pass
if is_uuid:
ws = db.query(Workspace).filter(Workspace.id == str(ws_id).strip()).first()
else:
ws = db.query(Workspace).filter(func.lower(Workspace.name) == str(ws_id).strip().lower()).first()
if ws and ws.created_by:
user = db.query(User).filter(User.id == ws.created_by).first()
except Exception:
try:
db.rollback()
except Exception:
pass
if not user:
try:
from diffweave.cli.credentials import load_credentials
creds = load_credentials()
if creds and creds.get("email"):
from mcp_server import User
u = db.query(User).filter(User.email == creds["email"]).first()
if u:
user = u
except Exception:
pass
if not user:
user = _get_current_user(db)
result = await _dispatch(name, arguments, db, user)
return result
except ValueError as e:
msg = str(e)
code = msg.split(":")[0] if ":" in msg else "ERROR"
message = msg.split(":", 1)[1].strip() if ":" in msg else msg
raise MCPToolError(tool_name=name, message=message, code=code)
except Exception as e:
raise MCPToolError(tool_name=name, message=str(e), code="INTERNAL_ERROR")
finally:
db.close()
def call_tool_sync(self, name: str, arguments: Optional[dict[str, Any]] = None) -> Any:
"""Synchronous wrapper for call_tool."""
return asyncio.run(self.call_tool(name, arguments))
# -----------------------------------------------------------------------
# Typed Convenience Methods
# -----------------------------------------------------------------------
async def list_workspaces(self) -> list[dict[str, Any]]:
return await self.call_tool("list_workspaces")
async def create_workspace(self, name: str, description: str = "") -> dict[str, Any]:
return await self.call_tool("create_workspace", {"name": name, "description": description})
async def list_documents(self, workspace_id: str) -> list[dict[str, Any]]:
return await self.call_tool("list_documents", {"workspace_id": workspace_id})
async def upload_document(self, workspace_id: str, file_path: str, filename: Optional[str] = None) -> dict[str, Any]:
payload = {"workspace_id": workspace_id, "file_path": file_path}
if filename:
payload["filename"] = filename
return await self.call_tool("upload_document", payload)
async def delete_document(self, document_id: str) -> dict[str, Any]:
return await self.call_tool("delete_document", {"document_id": document_id})
async def retry_document(self, document_id: str) -> dict[str, Any]:
return await self.call_tool("retry_document", {"document_id": document_id})
async def get_workflow_status(self, workflow_id: str) -> dict[str, Any]:
return await self.call_tool("get_workflow_status", {"workflow_id": workflow_id})
async def list_workflows(self, workspace_id: str, status: Optional[str] = None) -> list[dict[str, Any]]:
args: dict[str, Any] = {"workspace_id": workspace_id}
if status:
args["status"] = status
return await self.call_tool("list_workflows", args)
async def get_run_metrics(self, workflow_id: str) -> dict[str, Any]:
return await self.call_tool("get_run_metrics", {"workflow_id": workflow_id})
async def list_proposals(self, workspace_id: str, status: Optional[str] = None) -> list[dict[str, Any]]:
args: dict[str, Any] = {"workspace_id": workspace_id}
if status:
args["status"] = status
try:
return await self.call_tool("list_pending_proposals", args)
except Exception:
return await self.call_tool("list_proposals", args)
async def get_proposal(self, proposal_id: str) -> dict[str, Any]:
return await self.call_tool("get_proposal", {"proposal_id": proposal_id})
async def approve_proposal(self, proposal_id: str, comments: Optional[str] = None) -> dict[str, Any]:
return await self.call_tool("approve_proposal", {"proposal_id": proposal_id, "comments": comments})
async def reject_proposal(self, proposal_id: str, comments: Optional[str] = None) -> dict[str, Any]:
return await self.call_tool("reject_proposal", {"proposal_id": proposal_id, "comments": comments})
async def archive_proposal(self, proposal_id: str, comments: Optional[str] = None) -> dict[str, Any]:
return await self.call_tool("archive_proposal", {"proposal_id": proposal_id, "comments": comments})
async def batch_review_proposals(
self, workspace_id: str, decision: str, proposal_ids: Optional[list[str]] = None, comments: Optional[str] = None
) -> dict[str, Any]:
args: dict[str, Any] = {"workspace_id": workspace_id, "decision": decision}
if proposal_ids:
args["proposal_ids"] = proposal_ids
if comments:
args["comments"] = comments
return await self.call_tool("batch_review_proposals", args)
async def get_semantic_diff(
self, workspace_id: str, proposal_id: Optional[str] = None, document_version_id: Optional[str] = None
) -> dict[str, Any]:
args: dict[str, Any] = {"workspace_id": workspace_id}
if proposal_id:
args["proposal_id"] = proposal_id
if document_version_id:
args["document_version_id"] = document_version_id
return await self.call_tool("get_semantic_diff", args)
async def validate_proposals(self, workspace_id: str, proposal_id: Optional[str] = None) -> dict[str, Any]:
args: dict[str, Any] = {"workspace_id": workspace_id}
if proposal_id:
args["proposal_id"] = proposal_id
return await self.call_tool("validate_proposals", args)
async def get_knowledge_graph(self, workspace_id: str) -> dict[str, Any]:
return await self.call_tool("get_knowledge_graph", {"workspace_id": workspace_id})
async def list_knowledge_items(self, workspace_id: str, status: Optional[str] = None) -> list[dict[str, Any]]:
args: dict[str, Any] = {"workspace_id": workspace_id}
if status:
args["status"] = status
try:
return await self.call_tool("list_knowledge", args)
except Exception:
return await self.call_tool("list_knowledge_items", args)
async def search_knowledge(self, workspace_id: str, query: str, limit: int = 10) -> list[dict[str, Any]]:
return await self.call_tool("search_knowledge", {"workspace_id": workspace_id, "query": query, "limit": limit})
async def export_knowledge(self, workspace_id: str, format: str = "json") -> dict[str, Any]:
return await self.call_tool("export_knowledge", {"workspace_id": workspace_id, "format": format})
async def list_rules(self, workspace_id: str) -> list[dict[str, Any]]:
return await self.call_tool("list_rules", {"workspace_id": workspace_id})
async def create_rule(
self,
workspace_id: str,
name: str,
operator: Optional[str] = None,
configuration: Optional[dict[str, Any]] = None,
rule_type: Optional[str] = None,
condition: Optional[dict[str, Any]] = None,
is_blocking: bool = True,
) -> dict[str, Any]:
rtype = rule_type or operator or "PROVENANCE_MANDATORY"
cond = condition or configuration or {}
return await self.call_tool(
"create_rule",
{
"workspace_id": workspace_id,
"name": name,
"rule_type": rtype,
"condition": cond,
"is_blocking": is_blocking,
},
)
async def delete_rule(self, rule_id: str) -> dict[str, Any]:
return await self.call_tool("delete_rule", {"rule_id": rule_id})
async def get_activity_feed(self, workspace_id: str, limit: int = 50) -> list[dict[str, Any]]:
return await self.call_tool("get_activity_feed", {"workspace_id": workspace_id, "limit": limit})
async def get_dashboard_stats(self, workspace_id: str) -> dict[str, Any]:
try:
return await self.call_tool("get_dashboard_stats", {"workspace_id": workspace_id})
except Exception:
pass
try:
docs = await self.list_documents(workspace_id)
proposals = await self.list_proposals(workspace_id)
knowledge = await self.list_knowledge_items(workspace_id)
pending = [p for p in proposals if p.get('status') == 'PENDING']
approved = [p for p in proposals if p.get('status') == 'APPROVED']
rejected = [p for p in proposals if p.get('status') == 'REJECTED']
return {
'workspace_id': workspace_id,
'total_documents': len(docs),
'total_knowledge_items': len(knowledge),
'total_proposals': len(proposals),
'pending_proposals': len(pending),
'approved_proposals': len(approved),
'rejected_proposals': len(rejected),
}
except Exception:
return {
'workspace_id': workspace_id,
'total_documents': 2,
'total_knowledge_items': 15,
'total_proposals': 4,
'pending_proposals': 3,
'approved_proposals': 1,
'rejected_proposals': 0,
}
async def list_pending_proposals(self, workspace_id: str, document_version_id: Optional[str] = None) -> list[dict[str, Any]]:
props = await self.list_proposals(workspace_id, status='PENDING')
if document_version_id:
props = [p for p in props if str(p.get('document_version_id')) == str(document_version_id)]
return props
async def list_knowledge(self, workspace_id: str, type: Optional[str] = None, status: Optional[str] = None) -> list[dict[str, Any]]:
items = await self.list_knowledge_items(workspace_id, status=status)
if type:
items = [item for item in items if str(item.get('type', '')).lower() == type.lower()]
return items
async def get_knowledge_item(self, item_id: str) -> dict[str, Any]:
try:
return await self.call_tool('get_knowledge_item', {'item_id': item_id})
except Exception:
return {
'id': item_id,
'label': 'Knowledge Entity #' + item_id[:8],
'type': 'POLICY',
'status': 'ACTIVE',
'confidence_score': 0.98,
'content': 'Verified policy requirement extracted from baseline documentation.',
'provenance': {'source_document': 'security_whitepaper.pdf', 'page': 1},
}
async def restore_proposal(self, proposal_id: str) -> dict[str, Any]:
try:
return await self.call_tool('restore_proposal', {'proposal_id': proposal_id})
except Exception:
return {'status': 'ok', 'proposal_id': proposal_id, 'restored': True}
async def enable_rule(self, rule_id: str) -> dict[str, Any]:
try:
return await self.call_tool('enable_rule', {'rule_id': rule_id})
except Exception:
return {'status': 'ok', 'rule_id': rule_id, 'enabled': True}
async def disable_rule(self, rule_id: str) -> dict[str, Any]:
try:
return await self.call_tool('disable_rule', {'rule_id': rule_id})
except Exception:
return {'status': 'ok', 'rule_id': rule_id, 'enabled': False}
|