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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.
143 lines
3.6 KiB
Python
143 lines
3.6 KiB
Python
"""
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Imports a workspace-config dump produced by tg-export-workspace-config
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into a target workspace. Writes mcp-tool, tool, flow-blueprint,
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token-cost, agent-pattern, agent-task-type, parameter-type,
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interface-description and prompt items verbatim.
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Existing items with the same (type, key) are overwritten.
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"""
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import argparse
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import os
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import json
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import sys
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from trustgraph.api import Api
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from trustgraph.api.types import ConfigValue
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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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IMPORT_TYPES = {
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"mcp-tool",
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"tool",
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"flow-blueprint",
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"token-cost",
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"agent-pattern",
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"agent-task-type",
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"parameter-type",
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"interface-description",
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"prompt",
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}
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def import_workspace_config(url, workspace, input_path, token=None,
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dry_run=False):
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if input_path == "-":
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payload = json.load(sys.stdin)
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else:
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with open(input_path, "r") as f:
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payload = json.load(f)
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# Accept both the wrapped export format and a bare {type: {key: value}}
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# dict, so hand-written files are also loadable.
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if isinstance(payload, dict) and "config" in payload \
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and isinstance(payload["config"], dict):
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config = payload["config"]
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source = payload.get("source_workspace")
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else:
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config = payload
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source = None
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skipped_types = set(config.keys()) - IMPORT_TYPES
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if skipped_types:
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print(
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f"Ignoring unsupported types: {sorted(skipped_types)}",
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file=sys.stderr,
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)
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values = []
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for t in IMPORT_TYPES:
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items = config.get(t, {})
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for key, value in items.items():
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values.append(ConfigValue(type=t, key=key, value=value))
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if not values:
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print("Nothing to import.", file=sys.stderr)
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return
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if dry_run:
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print(
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f"[dry-run] would import {len(values)} items into "
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f"workspace '{workspace}'"
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+ (f" (from '{source}')" if source else "")
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)
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return
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api = Api(url, token=token, workspace=workspace).config()
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api.put(values)
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print(
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f"Imported {len(values)} items into workspace '{workspace}'"
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+ (f" (from '{source}')." if source else "."),
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)
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def main():
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parser = argparse.ArgumentParser(
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prog='tg-import-workspace-config',
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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'Target workspace (default: {default_workspace})',
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)
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parser.add_argument(
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'-i', '--input',
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required=True,
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help='Input JSON file path (use "-" for stdin)',
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)
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parser.add_argument(
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'--dry-run',
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action='store_true',
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help='Parse and validate the input without writing anything',
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)
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args = parser.parse_args()
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try:
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import_workspace_config(
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url=args.api_url,
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workspace=args.workspace,
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input_path=args.input,
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token=args.token,
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dry_run=args.dry_run,
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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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sys.exit(1)
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if __name__ == "__main__":
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main()
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