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https://github.com/trustgraph-ai/trustgraph.git
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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.
139 lines
No EOL
3.9 KiB
Python
139 lines
No EOL
3.9 KiB
Python
"""
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Starts a processing flow using a defined flow blueprint.
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Parameters can be provided in three ways:
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1. As key=value pairs: --param model=gpt-4 --param temp=0.7
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2. As JSON string: -p '{"model": "gpt-4", "temp": 0.7}'
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3. As JSON file: --parameters-file params.json
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Note: All parameter values are stored as strings internally, regardless of their
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input format. Numbers and booleans will be converted to string representation.
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"""
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import argparse
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import os
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import tabulate
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from trustgraph.api import Api
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import json
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default_url = os.getenv("TRUSTGRAPH_URL", 'http://localhost:8088/')
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default_token = os.getenv("TRUSTGRAPH_TOKEN", None)
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default_workspace = os.getenv("TRUSTGRAPH_WORKSPACE", "default")
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def start_flow(url, blueprint_name, flow_id, description, parameters=None,
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token=None, workspace="default"):
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api = Api(url, token=token, workspace=workspace).flow()
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api.start(
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blueprint_name = blueprint_name,
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id = flow_id,
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description = description,
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parameters = parameters,
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)
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def main():
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parser = argparse.ArgumentParser(
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prog='tg-start-flow',
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description=__doc__,
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)
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parser.add_argument(
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'-u', '--api-url',
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default=default_url,
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help=f'API URL (default: {default_url})',
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)
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parser.add_argument(
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'-t', '--token',
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default=default_token,
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help='Authentication token (default: $TRUSTGRAPH_TOKEN)',
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)
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parser.add_argument(
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'-w', '--workspace',
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default=default_workspace,
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help=f'Workspace (default: {default_workspace})',
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)
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parser.add_argument(
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'-n', '--blueprint-name',
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required=True,
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help=f'Flow blueprint name',
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)
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parser.add_argument(
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'-i', '--flow-id',
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required=True,
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help=f'Flow ID',
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)
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parser.add_argument(
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'-d', '--description',
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required=True,
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help=f'Flow description',
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)
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parser.add_argument(
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'-p', '--parameters',
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help='Flow parameters as JSON string (e.g., \'{"model": "gpt-4", "temp": 0.7}\')',
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)
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parser.add_argument(
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'--parameters-file',
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help='Path to JSON file containing flow parameters',
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)
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parser.add_argument(
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'--param',
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action='append',
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help='Flow parameter as key=value pair (can be used multiple times, e.g., --param model=gpt-4 --param temp=0.7)',
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)
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args = parser.parse_args()
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try:
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# Parse parameters from command line arguments
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parameters = None
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if args.parameters_file:
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with open(args.parameters_file, 'r') as f:
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params_data = json.load(f)
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# Convert all values to strings
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parameters = {k: str(v) for k, v in params_data.items()}
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elif args.parameters:
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params_data = json.loads(args.parameters)
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# Convert all values to strings
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parameters = {k: str(v) for k, v in params_data.items()}
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elif args.param:
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# Parse key=value pairs
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parameters = {}
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for param in args.param:
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if '=' not in param:
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raise ValueError(f"Invalid parameter format: {param}. Expected key=value")
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key, value = param.split('=', 1)
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key = key.strip()
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value = value.strip()
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# All parameter values must be strings for Pulsar
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# Just store everything as a string
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parameters[key] = value
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start_flow(
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url = args.api_url,
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blueprint_name = args.blueprint_name,
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flow_id = args.flow_id,
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description = args.description,
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parameters = parameters,
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token = args.token,
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workspace = args.workspace,
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)
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except Exception as e:
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print("Exception:", e, flush=True)
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if __name__ == "__main__":
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main() |