trustgraph/trustgraph-cli/trustgraph/cli/start_flow.py
cybermaggedon d35473f7f7
feat: workspace-based multi-tenancy, replacing user as tenancy axis (#840)
Introduces `workspace` as the isolation boundary for config, flows,
library, and knowledge data. Removes `user` as a schema-level field
throughout the code, API specs, and tests; workspace provides the
same separation more cleanly at the trusted flow.workspace layer
rather than through client-supplied message fields.

Design
------
- IAM tech spec (docs/tech-specs/iam.md) documents current state,
  proposed auth/access model, and migration direction.
- Data ownership model (docs/tech-specs/data-ownership-model.md)
  captures the workspace/collection/flow hierarchy.

Schema + messaging
------------------
- Drop `user` field from AgentRequest/Step, GraphRagQuery,
  DocumentRagQuery, Triples/Graph/Document/Row EmbeddingsRequest,
  Sparql/Rows/Structured QueryRequest, ToolServiceRequest.
- Keep collection/workspace routing via flow.workspace at the
  service layer.
- Translators updated to not serialise/deserialise user.

API specs
---------
- OpenAPI schemas and path examples cleaned of user fields.
- Websocket async-api messages updated.
- Removed the unused parameters/User.yaml.

Services + base
---------------
- Librarian, collection manager, knowledge, config: all operations
  scoped by workspace. Config client API takes workspace as first
  positional arg.
- `flow.workspace` set at flow start time by the infrastructure;
  no longer pass-through from clients.
- Tool service drops user-personalisation passthrough.

CLI + SDK
---------
- tg-init-workspace and workspace-aware import/export.
- All tg-* commands drop user args; accept --workspace.
- Python API/SDK (flow, socket_client, async_*, explainability,
  library) drop user kwargs from every method signature.

MCP server
----------
- All tool endpoints drop user parameters; socket_manager no longer
  keyed per user.

Flow service
------------
- Closure-based topic cleanup on flow stop: only delete topics
  whose blueprint template was parameterised AND no remaining
  live flow (across all workspaces) still resolves to that topic.
  Three scopes fall out naturally from template analysis:
    * {id} -> per-flow, deleted on stop
    * {blueprint} -> per-blueprint, kept while any flow of the
      same blueprint exists
    * {workspace} -> per-workspace, kept while any flow in the
      workspace exists
    * literal -> global, never deleted (e.g. tg.request.librarian)
  Fixes a bug where stopping a flow silently destroyed the global
  librarian exchange, wedging all library operations until manual
  restart.

RabbitMQ backend
----------------
- heartbeat=60, blocked_connection_timeout=300. Catches silently
  dead connections (broker restart, orphaned channels, network
  partitions) within ~2 heartbeat windows, so the consumer
  reconnects and re-binds its queue rather than sitting forever
  on a zombie connection.

Tests
-----
- Full test refresh: unit, integration, contract, provenance.
- Dropped user-field assertions and constructor kwargs across
  ~100 test files.
- Renamed user-collection isolation tests to workspace-collection.
2026-04-21 23:23:01 +01:00

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Python

"""
Starts a processing flow using a defined flow blueprint.
Parameters can be provided in three ways:
1. As key=value pairs: --param model=gpt-4 --param temp=0.7
2. As JSON string: -p '{"model": "gpt-4", "temp": 0.7}'
3. As JSON file: --parameters-file params.json
Note: All parameter values are stored as strings internally, regardless of their
input format. Numbers and booleans will be converted to string representation.
"""
import argparse
import os
import tabulate
from trustgraph.api import Api
import json
default_url = os.getenv("TRUSTGRAPH_URL", 'http://localhost:8088/')
default_token = os.getenv("TRUSTGRAPH_TOKEN", None)
default_workspace = os.getenv("TRUSTGRAPH_WORKSPACE", "default")
def start_flow(url, blueprint_name, flow_id, description, parameters=None,
token=None, workspace="default"):
api = Api(url, token=token, workspace=workspace).flow()
api.start(
blueprint_name = blueprint_name,
id = flow_id,
description = description,
parameters = parameters,
)
def main():
parser = argparse.ArgumentParser(
prog='tg-start-flow',
description=__doc__,
)
parser.add_argument(
'-u', '--api-url',
default=default_url,
help=f'API URL (default: {default_url})',
)
parser.add_argument(
'-t', '--token',
default=default_token,
help='Authentication token (default: $TRUSTGRAPH_TOKEN)',
)
parser.add_argument(
'-w', '--workspace',
default=default_workspace,
help=f'Workspace (default: {default_workspace})',
)
parser.add_argument(
'-n', '--blueprint-name',
required=True,
help=f'Flow blueprint name',
)
parser.add_argument(
'-i', '--flow-id',
required=True,
help=f'Flow ID',
)
parser.add_argument(
'-d', '--description',
required=True,
help=f'Flow description',
)
parser.add_argument(
'-p', '--parameters',
help='Flow parameters as JSON string (e.g., \'{"model": "gpt-4", "temp": 0.7}\')',
)
parser.add_argument(
'--parameters-file',
help='Path to JSON file containing flow parameters',
)
parser.add_argument(
'--param',
action='append',
help='Flow parameter as key=value pair (can be used multiple times, e.g., --param model=gpt-4 --param temp=0.7)',
)
args = parser.parse_args()
try:
# Parse parameters from command line arguments
parameters = None
if args.parameters_file:
with open(args.parameters_file, 'r') as f:
params_data = json.load(f)
# Convert all values to strings
parameters = {k: str(v) for k, v in params_data.items()}
elif args.parameters:
params_data = json.loads(args.parameters)
# Convert all values to strings
parameters = {k: str(v) for k, v in params_data.items()}
elif args.param:
# Parse key=value pairs
parameters = {}
for param in args.param:
if '=' not in param:
raise ValueError(f"Invalid parameter format: {param}. Expected key=value")
key, value = param.split('=', 1)
key = key.strip()
value = value.strip()
# All parameter values must be strings for Pulsar
# Just store everything as a string
parameters[key] = value
start_flow(
url = args.api_url,
blueprint_name = args.blueprint_name,
flow_id = args.flow_id,
description = args.description,
parameters = parameters,
token = args.token,
workspace = args.workspace,
)
except Exception as e:
print("Exception:", e, flush=True)
if __name__ == "__main__":
main()