trustgraph/trustgraph-cli/trustgraph/cli/show_processor_state.py
cybermaggedon 9f2bfbce0c
Per-workspace queue routing for workspace-scoped services (#862)
Workspace identity is now determined by queue infrastructure instead of
message body fields, closing a privilege-escalation vector where a caller
could spoof workspace in the request payload.

- Add WorkspaceProcessor base class: discovers workspaces from config at
  startup, creates per-workspace consumers (queue:workspace), and manages
  consumer lifecycle on workspace create/delete events
- Roll out to librarian, flow-svc, knowledge cores, and config-svc
- Config service gets a dual-queue regime: a system queue for
  cross-workspace ops (getvalues-all-ws, bootstrapper writes to
  __workspaces__) and per-workspace queues for tenant-scoped ops, with
  workspace discovery from its own Cassandra store
- Remove workspace field from request schemas (FlowRequest,
  LibrarianRequest, KnowledgeRequest, CollectionManagementRequest) and
  from DocumentMetadata / ProcessingMetadata — table stores now accept
  workspace as an explicit parameter
- Strip workspace encode/decode from all message translators and gateway
  serializers
- Gateway enforces workspace existence: reject requests targeting
  non-existent workspaces instead of routing to queues with no consumer
- Config service provisions new workspaces from __template__ on creation
- Add workspace lifecycle hooks to AsyncProcessor so any processor can
  react to workspace create/delete without subclassing WorkspaceProcessor
2026-05-04 10:30:03 +01:00

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1.3 KiB
Python

"""
Dump out TrustGraph processor states.
"""
import os
import requests
import argparse
default_metrics_url = "http://localhost:8088/api/metrics"
DEFAULT_TOKEN = os.getenv("TRUSTGRAPH_TOKEN", None)
def dump_status(metrics_url, token=None):
url = f"{metrics_url}/query?query=processor_info"
headers = {}
if token:
headers["Authorization"] = f"Bearer {token}"
resp = requests.get(url, headers=headers)
obj = resp.json()
tbl = [
[
m["metric"].get("processor", m["metric"]["job"]),
"\U0001f49a"
]
for m in obj["data"]["result"]
]
for row in tbl:
print(f" {row[0]:30} {row[1]}")
def main():
parser = argparse.ArgumentParser(
prog='tg-show-processor-state',
description=__doc__,
)
parser.add_argument(
'-m', '--metrics-url',
default=default_metrics_url,
help=f'Metrics URL (default: {default_metrics_url})',
)
parser.add_argument(
'-t', '--token',
default=DEFAULT_TOKEN,
help=f'Bearer token for authentication (default: TRUSTGRAPH_TOKEN env var)',
)
args = parser.parse_args()
try:
dump_status(args.metrics_url, args.token)
except Exception as e:
print("Exception:", e, flush=True)
if __name__ == "__main__":
main()