Feat:update webhook component
This commit is contained in:
buua436
parent
e7022db9a4
commit
21f21e34c9
4 changed files with 635 additions and 34 deletions
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@ -160,7 +160,7 @@ class Graph:
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return self._tenant_id
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def get_value_with_variable(self,value: str) -> Any:
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pat = re.compile(r"\{* *\{([a-zA-Z:0-9]+@[A-Za-z0-9_.]+|sys\.[A-Za-z0-9_.]+|env\.[A-Za-z0-9_.]+)\} *\}*")
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pat = re.compile(r"\{* *\{([a-zA-Z:0-9]+@[A-Za-z0-9_.-]+|sys\.[A-Za-z0-9_.]+|env\.[A-Za-z0-9_.]+)\} *\}*")
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out_parts = []
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last = 0
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@ -394,7 +394,7 @@ class ComponentParamBase(ABC):
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class ComponentBase(ABC):
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component_name: str
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thread_limiter = trio.CapacityLimiter(int(os.environ.get('MAX_CONCURRENT_CHATS', 10)))
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variable_ref_patt = r"\{* *\{([a-zA-Z:0-9]+@[A-Za-z0-9_.]+|sys\.[A-Za-z0-9_.]+|env\.[A-Za-z0-9_.]+)\} *\}*"
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variable_ref_patt = r"\{* *\{([a-zA-Z:0-9]+@[A-Za-z0-9_.-]+|sys\.[A-Za-z0-9_.]+|env\.[A-Za-z0-9_.]+)\} *\}*"
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def __str__(self):
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"""
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@ -23,6 +23,26 @@ class WebhookParam(ComponentParamBase):
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"""
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def __init__(self):
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super().__init__()
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self.security = {
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"auth_type": "none",
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}
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self.schema = {}
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self.execution_mode = "Immediately"
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self.response = {}
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self.outputs = {
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"query": {
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"value": {},
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"type": "object"
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},
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"headers": {
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"value": {},
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"type": "object"
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},
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"body": {
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"value": {},
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"type": "object"
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}
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}
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def get_input_form(self) -> dict[str, dict]:
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return getattr(self, "inputs")
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@ -14,14 +14,22 @@
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# limitations under the License.
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#
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import asyncio
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import hashlib
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import hmac
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import ipaddress
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import json
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import logging
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import re
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import time
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from typing import Any, cast
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import jwt
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from agent.canvas import Canvas
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from api.db import CanvasCategory
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from api.db.services.canvas_service import UserCanvasService
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from api.db.services.file_service import FileService
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from api.db.services.user_canvas_version import UserCanvasVersionService
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from common.constants import RetCode
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from common.misc_utils import get_uuid
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@ -132,48 +140,621 @@ def delete_agent(tenant_id: str, agent_id: str):
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UserCanvasService.delete_by_id(agent_id)
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return get_json_result(data=True)
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_rate_limit_cache = {}
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@manager.route('/webhook/<agent_id>', methods=['POST']) # noqa: F821
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@token_required
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async def webhook(tenant_id: str, agent_id: str):
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req = await get_request_json()
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if not UserCanvasService.accessible(req["id"], tenant_id):
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return get_json_result(
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data=False, message='Only owner of canvas authorized for this operation.',
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code=RetCode.OPERATING_ERROR)
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e, cvs = UserCanvasService.get_by_id(req["id"])
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if not e:
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return get_data_error_result(message="canvas not found.")
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if not isinstance(cvs.dsl, str):
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cvs.dsl = json.dumps(cvs.dsl, ensure_ascii=False)
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@manager.route('/webhook/<agent_id>', methods=["POST", "GET", "PUT", "PATCH", "DELETE", "HEAD"]) # noqa: F821
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async def webhook(agent_id: str):
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# 1. Fetch canvas by agent_id
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exists, cvs = UserCanvasService.get_by_id(agent_id)
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if not exists:
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return get_data_error_result(message="Canvas not found.")
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# 2. Check canvas category
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if cvs.canvas_category == CanvasCategory.DataFlow:
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return get_data_error_result(message="Dataflow can not be triggered by webhook.")
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# 3. Load DSL from canvas
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dsl = getattr(cvs, "dsl", None)
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if not isinstance(dsl, dict):
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return get_data_error_result(message="Invalid DSL format.")
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# 4. Check webhook configuration in DSL
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webhook_cfg = dsl.get("webhook", {})
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if not webhook_cfg:
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return get_data_error_result(message="Webhook not configured for this agent.")
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# 5. Validate request method against webhook_cfg.methods
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allowed_methods = webhook_cfg.get("methods", [])
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request_method = request.method.upper()
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if allowed_methods and request_method not in allowed_methods:
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return get_data_error_result(
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message=f"HTTP method '{request_method}' not allowed for this webhook."
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)
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# 6. Validate webhook security
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async def validate_webhook_security(security_cfg: dict):
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"""Validate webhook security rules based on security configuration."""
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if not security_cfg:
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return # No security config → allowed by default
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# 1. Validate max body size
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await _validate_max_body_size(security_cfg)
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# 2. Validate IP whitelist
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_validate_ip_whitelist(security_cfg)
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# # 3. Validate rate limiting
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_validate_rate_limit(security_cfg)
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# 4. Validate authentication
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auth_type = security_cfg.get("auth_type", "none")
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if auth_type == "none":
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return
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if auth_type == "token":
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_validate_token_auth(security_cfg)
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elif auth_type == "basic":
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_validate_basic_auth(security_cfg)
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elif auth_type == "jwt":
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_validate_jwt_auth(security_cfg)
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elif auth_type == "hmac":
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await _validate_hmac_auth(security_cfg)
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else:
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raise Exception(f"Unsupported auth_type: {auth_type}")
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async def _validate_max_body_size(security_cfg):
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"""Check request size does not exceed max_body_size."""
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max_size = security_cfg.get("max_body_size")
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if not max_size:
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return
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# Convert "10MB" → bytes
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units = {"kb": 1024, "mb": 1024**2, "gb": 1024**3}
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size_str = max_size.lower()
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for suffix, factor in units.items():
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if size_str.endswith(suffix):
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limit = int(size_str.replace(suffix, "")) * factor
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break
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else:
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raise Exception("Invalid max_body_size format")
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content_length = request.content_length or 0
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if content_length > limit:
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raise Exception(f"Request body too large: {content_length} > {limit}")
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def _validate_ip_whitelist(security_cfg):
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"""Allow only IPs listed in ip_whitelist."""
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whitelist = security_cfg.get("ip_whitelist", [])
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if not whitelist:
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return
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client_ip = request.remote_addr
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for rule in whitelist:
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if "/" in rule:
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# CIDR notation
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if ipaddress.ip_address(client_ip) in ipaddress.ip_network(rule, strict=False):
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return
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else:
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# Single IP
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if client_ip == rule:
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return
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raise Exception(f"IP {client_ip} is not allowed by whitelist")
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def _validate_rate_limit(security_cfg):
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"""Simple in-memory rate limiting."""
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rl = security_cfg.get("rate_limit")
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if not rl:
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return
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limit = rl.get("limit", 60)
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per = rl.get("per", "minute")
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window = {"second": 1, "minute": 60, "hour": 3600}.get(per, 60)
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key = f"rl:{agent_id}"
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now = int(time.time())
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bucket = _rate_limit_cache.get(key, {"ts": now, "count": 0})
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# Reset window
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if now - bucket["ts"] > window:
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bucket = {"ts": now, "count": 0}
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bucket["count"] += 1
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_rate_limit_cache[key] = bucket
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if bucket["count"] > limit:
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raise Exception("Too many requests (rate limit exceeded)")
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def _validate_token_auth(security_cfg):
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"""Validate header-based token authentication."""
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header = security_cfg.get("token_header")
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token_value = security_cfg.get("token_value")
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provided = request.headers.get(header)
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if provided != token_value:
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raise Exception("Invalid token authentication")
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def _validate_basic_auth(security_cfg):
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"""Validate HTTP Basic Auth credentials."""
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auth_cfg = security_cfg.get("basic_auth", {})
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username = auth_cfg.get("username")
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password = auth_cfg.get("password")
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auth = request.authorization
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if not auth or auth.username != username or auth.password != password:
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raise Exception("Invalid Basic Auth credentials")
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def _validate_jwt_auth(security_cfg):
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"""Validate JWT token in Authorization header."""
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jwt_cfg = security_cfg.get("jwt", {})
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secret = jwt_cfg.get("secret")
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required_claims = jwt_cfg.get("required_claims", [])
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auth_header = request.headers.get("Authorization", "")
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if not auth_header.startswith("Bearer "):
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raise Exception("Missing Bearer token")
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token = auth_header.replace("Bearer ", "")
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try:
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decoded = jwt.decode(
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token,
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secret,
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algorithms=[jwt_cfg.get("algorithm", "HS256")],
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audience=jwt_cfg.get("audience"),
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issuer=jwt_cfg.get("issuer"),
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)
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except Exception as e:
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raise Exception(f"Invalid JWT: {str(e)}")
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for claim in required_claims:
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if claim not in decoded:
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raise Exception(f"Missing JWT claim: {claim}")
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async def _validate_hmac_auth(security_cfg):
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"""Validate HMAC signature from header."""
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hmac_cfg = security_cfg.get("hmac", {})
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header = hmac_cfg.get("header")
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secret = hmac_cfg.get("secret")
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algorithm = hmac_cfg.get("algorithm", "sha256")
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provided_sig = request.headers.get(header)
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if not provided_sig:
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raise Exception("Missing HMAC signature header")
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body = await request.get_data()
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if body is None:
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body = b""
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elif isinstance(body, str):
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body = body.encode("utf-8")
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computed = hmac.new(secret.encode(), body, getattr(hashlib, algorithm)).hexdigest()
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if not hmac.compare_digest(provided_sig, computed):
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raise Exception("Invalid HMAC signature")
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try:
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canvas = Canvas(cvs.dsl, tenant_id, agent_id)
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await validate_webhook_security(webhook_cfg.get("security", {}))
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except Exception as e:
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return get_data_error_result(message=str(e))
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# 7. Parse request body
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async def parse_webhook_request():
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"""Parse request based on content-type and return structured data."""
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# 1. Parse query parameters
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query_data = {}
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for k, v in request.args.items():
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query_data[k] = v
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# 2. Parse headers
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header_data = {}
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for k, v in request.headers.items():
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header_data[k] = v
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# 3. Parse body based on content-type
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ctype = request.headers.get("Content-Type", "").split(";")[0].strip()
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raw_files = {}
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if ctype == "application/json":
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try:
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body_data = await request.get_json()
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except:
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body_data = None
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elif ctype == "multipart/form-data":
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form = await request.form
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files = await request.files
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raw_files = {name: file for name, file in files.items()}
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body_data = {
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"form": dict(form),
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"files": {name: file.filename for name, file in files.items()},
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}
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elif ctype == "application/x-www-form-urlencoded":
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form = await request.form
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body_data = dict(form)
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elif ctype == "text/plain":
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body_data = (await request.get_data()).decode()
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elif ctype == "application/octet-stream":
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body_data = await request.get_data() # raw binary
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else:
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# unknown content type → raw body
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body_data = await request.get_data()
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return {
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"query": query_data,
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"headers": header_data,
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"body": body_data,
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"content_type": ctype,
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"raw_files": raw_files
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}
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def extract_by_schema(data, schema, name="section"):
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"""
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Extract only fields defined in schema.
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Required fields must exist.
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Optional fields default to type-based default values.
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Type validation included.
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"""
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if schema.get("type") != "object":
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return {}
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props = schema.get("properties", {})
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required = schema.get("required", [])
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extracted = {}
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for field, field_schema in props.items():
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field_type = field_schema.get("type")
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# 1. Required field missing
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if field in required and field not in data:
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raise Exception(f"{name} missing required field: {field}")
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# 2. Optional → default value
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if field not in data:
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extracted[field] = default_for_type(field_type)
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continue
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raw_value = data[field]
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# 3. Auto convert value
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try:
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value = auto_cast_value(raw_value, field_type)
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except Exception as e:
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raise Exception(f"{name}.{field} auto-cast failed: {str(e)}")
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# 4. Type validation
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if not validate_type(value, field_type):
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raise Exception(
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f"{name}.{field} type mismatch: expected {field_type}, got {type(value).__name__}"
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)
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extracted[field] = value
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return extracted
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def default_for_type(t):
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"""Return default value for the given schema type."""
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if t == "file":
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return ""
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if t == "object":
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return {}
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if t == "boolean":
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return False
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if t == "number":
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return 0
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if t == "string":
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return ""
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if t and t.startswith("array"):
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return []
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if t == "null":
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return None
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return None
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def auto_cast_value(value, expected_type):
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"""Convert string values into schema type when possible."""
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# Non-string values already good
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if not isinstance(value, str):
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return value
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v = value.strip()
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# Boolean
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if expected_type == "boolean":
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if v.lower() in ["true", "1"]:
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return True
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if v.lower() in ["false", "0"]:
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return False
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raise Exception(f"Cannot convert '{value}' to boolean")
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# Number
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if expected_type == "number":
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# integer
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if v.isdigit() or (v.startswith("-") and v[1:].isdigit()):
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return int(v)
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# float
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try:
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return float(v)
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except:
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raise Exception(f"Cannot convert '{value}' to number")
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# Object
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if expected_type == "object":
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try:
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parsed = json.loads(v)
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if isinstance(parsed, dict):
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return parsed
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else:
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raise Exception("JSON is not an object")
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except:
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raise Exception(f"Cannot convert '{value}' to object")
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# Array <T>
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if expected_type.startswith("array"):
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try:
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parsed = json.loads(v)
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if isinstance(parsed, list):
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return parsed
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else:
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raise Exception("JSON is not an array")
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except:
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raise Exception(f"Cannot convert '{value}' to array")
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# String (accept original)
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if expected_type == "string":
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return value
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# File
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if expected_type == "file":
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return value
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# Default: do nothing
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return value
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def validate_type(value, t):
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"""Validate value type against schema type t."""
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if t == "file":
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return isinstance(value, str)
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if t == "string":
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return isinstance(value, str)
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if t == "number":
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return isinstance(value, (int, float))
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if t == "boolean":
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return isinstance(value, bool)
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if t == "object":
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return isinstance(value, dict)
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# array<string> / array<number> / array<object>
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if t.startswith("array"):
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if not isinstance(value, list):
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return False
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|
||||
if "<" in t and ">" in t:
|
||||
inner = t[t.find("<") + 1 : t.find(">")]
|
||||
|
||||
# Check each element type
|
||||
for item in value:
|
||||
if not validate_type(item, inner):
|
||||
return False
|
||||
|
||||
return True
|
||||
|
||||
return True
|
||||
|
||||
def extract_files_by_schema(raw_files, schema, name="files"):
|
||||
"""
|
||||
Extract and validate files based on schema.
|
||||
Only supports type = file (single file).
|
||||
Does NOT support array<file>.
|
||||
"""
|
||||
|
||||
if schema.get("type") != "object":
|
||||
return {}
|
||||
|
||||
props = schema.get("properties", {})
|
||||
required = schema.get("required", [])
|
||||
|
||||
cleaned = []
|
||||
|
||||
for field, field_schema in props.items():
|
||||
field_type = field_schema.get("type")
|
||||
|
||||
# 1. Required field must exist
|
||||
if field in required and field not in raw_files:
|
||||
raise Exception(f"{name} missing required file field: {field}")
|
||||
|
||||
# 2. Ignore fields that are not file
|
||||
if field_type != "file":
|
||||
continue
|
||||
|
||||
# 3. Extract single file
|
||||
file_obj = raw_files.get(field)
|
||||
|
||||
if file_obj:
|
||||
cleaned.append({
|
||||
"field": field,
|
||||
"file": file_obj
|
||||
})
|
||||
return cleaned
|
||||
|
||||
parsed = await parse_webhook_request()
|
||||
SCHEMA = webhook_cfg.get("schema", {"query": {}, "headers": {}, "body": {}})
|
||||
|
||||
# Extract strictly by schema
|
||||
query_clean = extract_by_schema(parsed["query"], SCHEMA.get("query", {}), name="query")
|
||||
header_clean = extract_by_schema(parsed["headers"], SCHEMA.get("headers", {}), name="headers")
|
||||
body_clean = extract_by_schema(parsed["body"], SCHEMA.get("body", {}), name="body")
|
||||
files_clean = extract_files_by_schema(parsed["raw_files"], SCHEMA.get("body", {}), name="files")
|
||||
|
||||
uploaded_files = []
|
||||
for item in files_clean: # each {field, file}
|
||||
file_obj = item["file"]
|
||||
desc = FileService.upload_info(
|
||||
cvs.user_id, # user
|
||||
file_obj, # FileStorage
|
||||
None # url (None for webhook)
|
||||
)
|
||||
uploaded_files.append(desc)
|
||||
|
||||
clean_request = {
|
||||
"query": query_clean,
|
||||
"headers": header_clean,
|
||||
"body": body_clean
|
||||
}
|
||||
|
||||
if not isinstance(cvs.dsl, str):
|
||||
dsl = json.dumps(cvs.dsl, ensure_ascii=False)
|
||||
try:
|
||||
canvas = Canvas(dsl, cvs.user_id, agent_id)
|
||||
except Exception as e:
|
||||
return get_json_result(
|
||||
data=False, message=str(e),
|
||||
code=RetCode.EXCEPTION_ERROR)
|
||||
|
||||
async def sse():
|
||||
nonlocal canvas
|
||||
try:
|
||||
async for ans in canvas.run(query=req.get("query", ""), files=req.get("files", []), user_id=req.get("user_id", tenant_id), webhook_payload=req):
|
||||
yield "data:" + json.dumps(ans, ensure_ascii=False) + "\n\n"
|
||||
execution_mode = webhook_cfg.get("execution_mode", "Immediately")
|
||||
response_cfg = webhook_cfg.get("response", {})
|
||||
|
||||
cvs.dsl = json.loads(str(canvas))
|
||||
UserCanvasService.update_by_id(req["id"], cvs.to_dict())
|
||||
except Exception as e:
|
||||
logging.exception(e)
|
||||
yield "data:" + json.dumps({"code": 500, "message": str(e), "data": False}, ensure_ascii=False) + "\n\n"
|
||||
if execution_mode == "Immediately":
|
||||
status = response_cfg.get("status", 200)
|
||||
headers_tpl = response_cfg.get("headers_template", {})
|
||||
body_tpl = response_cfg.get("body_template", {})
|
||||
|
||||
resp = Response(sse(), mimetype="text/event-stream")
|
||||
resp.headers.add_header("Cache-control", "no-cache")
|
||||
resp.headers.add_header("Connection", "keep-alive")
|
||||
resp.headers.add_header("X-Accel-Buffering", "no")
|
||||
resp.headers.add_header("Content-Type", "text/event-stream; charset=utf-8")
|
||||
return resp
|
||||
|
||||
placeholder_pattern = re.compile(r"\{* *\{([a-zA-Z:0-9]+@[A-Za-z0-9_.-]+|sys\.[A-Za-z0-9_.]+|env\.[A-Za-z0-9_.]+)\} *\}*")
|
||||
def extract_placeholder_value(placeholder: str, clean_request: dict):
|
||||
"""
|
||||
Extract values from clean_request using placeholders like:
|
||||
{webhook@body.payload}
|
||||
{webhook@query.event}
|
||||
{webhook@headers.X-Trace-ID}
|
||||
"""
|
||||
|
||||
# Example placeholder: webhook@body.payload
|
||||
if "@" in placeholder:
|
||||
prefix, path = placeholder.split("@", 1)
|
||||
|
||||
return get_from_request_path(clean_request, path)
|
||||
|
||||
# sys.xxx / env.xxx handled by canvas, do not resolve here
|
||||
return None
|
||||
|
||||
def get_from_request_path(clean_request: dict, path: str):
|
||||
"""
|
||||
Resolve path like:
|
||||
body.payload
|
||||
query.event
|
||||
headers.X-Token
|
||||
"""
|
||||
|
||||
parts = path.split(".")
|
||||
if len(parts) == 0:
|
||||
return None
|
||||
|
||||
root = parts[0] # body / query / headers
|
||||
|
||||
if root not in clean_request:
|
||||
return None
|
||||
|
||||
value = clean_request[root]
|
||||
|
||||
for p in parts[1:]:
|
||||
if isinstance(value, dict) and p in value:
|
||||
value = value[p]
|
||||
else:
|
||||
return None
|
||||
|
||||
return value
|
||||
|
||||
def render_template(text: str, clean_request: dict):
|
||||
matches = placeholder_pattern.findall(text)
|
||||
results = {}
|
||||
|
||||
for m in matches:
|
||||
val = extract_placeholder_value(m, clean_request)
|
||||
results[m] = val
|
||||
|
||||
return results
|
||||
# Render "{xxx@query.xxx}" syntax
|
||||
headers = render_template(headers_tpl, clean_request)
|
||||
body = render_template(body_tpl, clean_request)
|
||||
|
||||
resp = Response(
|
||||
json.dumps(body, ensure_ascii=False),
|
||||
status=status,
|
||||
content_type="application/json"
|
||||
)
|
||||
|
||||
# Add custom headers
|
||||
for k, v in headers.items():
|
||||
resp.headers[k] = v
|
||||
async def background_run():
|
||||
try:
|
||||
async for _ in canvas.run(
|
||||
query="",
|
||||
files=uploaded_files,
|
||||
user_id=cvs.user_id,
|
||||
webhook_payload=clean_request
|
||||
):
|
||||
pass # or log/save ans
|
||||
|
||||
cvs.dsl = json.loads(str(canvas))
|
||||
UserCanvasService.update_by_id(cvs.user_id, cvs.to_dict())
|
||||
|
||||
except Exception as e:
|
||||
logging.exception(f"Webhook background run failed: {e}")
|
||||
|
||||
asyncio.create_task(background_run())
|
||||
return resp
|
||||
else:
|
||||
|
||||
async def sse():
|
||||
nonlocal canvas
|
||||
|
||||
try:
|
||||
async for ans in canvas.run(
|
||||
query="",
|
||||
files=uploaded_files,
|
||||
user_id=cvs.user_id,
|
||||
webhook_payload=clean_request
|
||||
):
|
||||
yield "data:" + json.dumps(ans, ensure_ascii=False) + "\n\n"
|
||||
|
||||
# save updated canvas
|
||||
cvs.dsl = json.loads(str(canvas))
|
||||
UserCanvasService.update_by_id(cvs.user_id, cvs.to_dict())
|
||||
|
||||
except Exception as e:
|
||||
logging.exception(e)
|
||||
yield "data:" + json.dumps(
|
||||
{"code": 500, "message": str(e), "data": False},
|
||||
ensure_ascii=False
|
||||
) + "\n\n"
|
||||
|
||||
resp = Response(sse(), mimetype="text/event-stream")
|
||||
resp.headers.add_header("Cache-control", "no-cache")
|
||||
resp.headers.add_header("Connection", "keep-alive")
|
||||
resp.headers.add_header("X-Accel-Buffering", "no")
|
||||
resp.headers.add_header("Content-Type", "text/event-stream; charset=utf-8")
|
||||
return resp
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue