trustgraph/tests.manual/test-flow-put-class
cybermaggedon 89be656990
Release/v1.2 (#457)
* Bump setup.py versions for 1.1

* PoC MCP server (#419)

* Very initial MCP server PoC for TrustGraph

* Put service on port 8000

* Add MCP container and packages to buildout

* Update docs for API/CLI changes in 1.0 (#421)

* Update some API basics for the 0.23/1.0 API change

* Add MCP container push (#425)

* Add command args to the MCP server (#426)

* Host and port parameters

* Added websocket arg

* More docs

* MCP client support (#427)

- MCP client service
- Tool request/response schema
- API gateway support for mcp-tool
- Message translation for tool request & response
- Make mcp-tool using configuration service for information
  about where the MCP services are.

* Feature/react call mcp (#428)

Key Features

  - MCP Tool Integration: Added core MCP tool support with ToolClientSpec and ToolClient classes
  - API Enhancement: New mcp_tool method for flow-specific tool invocation
  - CLI Tooling: New tg-invoke-mcp-tool command for testing MCP integration
  - React Agent Enhancement: Fixed and improved multi-tool invocation capabilities
  - Tool Management: Enhanced CLI for tool configuration and management

Changes

  - Added MCP tool invocation to API with flow-specific integration
  - Implemented ToolClientSpec and ToolClient for tool call handling
  - Updated agent-manager-react to invoke MCP tools with configurable types
  - Enhanced CLI with new commands and improved help text
  - Added comprehensive documentation for new CLI commands
  - Improved tool configuration management

Testing

  - Added tg-invoke-mcp-tool CLI command for isolated MCP integration testing
  - Enhanced agent capability to invoke multiple tools simultaneously

* Test suite executed from CI pipeline (#433)

* Test strategy & test cases

* Unit tests

* Integration tests

* Extending test coverage (#434)

* Contract tests

* Testing embeedings

* Agent unit tests

* Knowledge pipeline tests

* Turn on contract tests

* Increase storage test coverage (#435)

* Fixing storage and adding tests

* PR pipeline only runs quick tests

* Empty configuration is returned as empty list, previously was not in response (#436)

* Update config util to take files as well as command-line text (#437)

* Updated CLI invocation and config model for tools and mcp (#438)

* Updated CLI invocation and config model for tools and mcp

* CLI anomalies

* Tweaked the MCP tool implementation for new model

* Update agent implementation to match the new model

* Fix agent tools, now all tested

* Fixed integration tests

* Fix MCP delete tool params

* Update Python deps to 1.2

* Update to enable knowledge extraction using the agent framework (#439)

* Implement KG extraction agent (kg-extract-agent)

* Using ReAct framework (agent-manager-react)
 
* ReAct manager had an issue when emitting JSON, which conflicts which ReAct manager's own JSON messages, so refactored ReAct manager to use traditional ReAct messages, non-JSON structure.
 
* Minor refactor to take the prompt template client out of prompt-template so it can be more readily used by other modules. kg-extract-agent uses this framework.

* Migrate from setup.py to pyproject.toml (#440)

* Converted setup.py to pyproject.toml

* Modern package infrastructure as recommended by py docs

* Install missing build deps (#441)

* Install missing build deps (#442)

* Implement logging strategy (#444)

* Logging strategy and convert all prints() to logging invocations

* Fix/startup failure (#445)

* Fix loggin startup problems

* Fix logging startup problems (#446)

* Fix logging startup problems (#447)

* Fixed Mistral OCR to use current API (#448)

* Fixed Mistral OCR to use current API

* Added PDF decoder tests

* Fix Mistral OCR ident to be standard pdf-decoder (#450)

* Fix Mistral OCR ident to be standard pdf-decoder

* Correct test

* Schema structure refactor (#451)

* Write schema refactor spec

* Implemented schema refactor spec

* Structure data mvp (#452)

* Structured data tech spec

* Architecture principles

* New schemas

* Updated schemas and specs

* Object extractor

* Add .coveragerc

* New tests

* Cassandra object storage

* Trying to object extraction working, issues exist

* Validate librarian collection (#453)

* Fix token chunker, broken API invocation (#454)

* Fix token chunker, broken API invocation (#455)

* Knowledge load utility CLI (#456)

* Knowledge loader

* More tests
2025-08-18 20:56:09 +01:00

22 lines
5.7 KiB
Python
Executable file

#!/usr/bin/env python3
import requests
import json
url = "http://localhost:8088/"
defn = {"class": {"de-query:{class}": {"request": "non-persistent://tg/request/document-embeddings:{class}", "response": "non-persistent://tg/response/document-embeddings:{class}"}, "document-rag:{class}": {"document-embeddings-request": "non-persistent://tg/request/document-embeddings:{class}", "document-embeddings-response": "non-persistent://tg/response/document-embeddings:{class}", "embeddings-request": "non-persistent://tg/request/embeddings:{class}", "embeddings-response": "non-persistent://tg/response/embeddings:{class}", "prompt-request": "non-persistent://tg/request/prompt-rag:{class}", "prompt-response": "non-persistent://tg/response/prompt-rag:{class}", "request": "non-persistent://tg/request/document-rag:{class}", "response": "non-persistent://tg/response/document-rag:{class}"}, "embeddings:{class}": {"request": "non-persistent://tg/request/embeddings:{class}", "response": "non-persistent://tg/response/embeddings:{class}"}, "ge-query:{class}": {"request": "non-persistent://tg/request/graph-embeddings:{class}", "response": "non-persistent://tg/response/graph-embeddings:{class}"}, "graph-rag:{class}": {"embeddings-request": "non-persistent://tg/request/embeddings:{class}", "embeddings-response": "non-persistent://tg/response/embeddings:{class}", "graph-embeddings-request": "non-persistent://tg/request/graph-embeddings:{class}", "graph-embeddings-response": "non-persistent://tg/response/graph-embeddings:{class}", "prompt-request": "non-persistent://tg/request/prompt-rag:{class}", "prompt-response": "non-persistent://tg/response/prompt-rag:{class}", "request": "non-persistent://tg/request/graph-rag:{class}", "response": "non-persistent://tg/response/graph-rag:{class}", "triples-request": "non-persistent://tg/request/triples:{class}", "triples-response": "non-persistent://tg/response/triples:{class}"}, "metering-rag:{class}": {"input": "non-persistent://tg/response/text-completion-rag:{class}"}, "metering:{class}": {"input": "non-persistent://tg/response/text-completion:{class}"}, "prompt-rag:{class}": {"request": "non-persistent://tg/request/prompt-rag:{class}", "response": "non-persistent://tg/response/prompt-rag:{class}", "text-completion-request": "non-persistent://tg/request/text-completion-rag:{class}", "text-completion-response": "non-persistent://tg/response/text-completion-rag:{class}"}, "prompt:{class}": {"request": "non-persistent://tg/request/prompt:{class}", "response": "non-persistent://tg/response/prompt:{class}", "text-completion-request": "non-persistent://tg/request/text-completion:{class}", "text-completion-response": "non-persistent://tg/response/text-completion:{class}"}, "text-completion-rag:{class}": {"request": "non-persistent://tg/request/text-completion-rag:{class}", "response": "non-persistent://tg/response/text-completion-rag:{class}"}, "text-completion:{class}": {"request": "non-persistent://tg/request/text-completion:{class}", "response": "non-persistent://tg/response/text-completion:{class}"}, "triples-query:{class}": {"request": "non-persistent://tg/request/triples:{class}", "response": "non-persistent://tg/response/triples:{class}"}}, "description": "Default flow class, supports GraphRAG and document RAG", "flow": {"agent-manager:{id}": {"graph-rag-request": "non-persistent://tg/request/graph-rag:{class}", "graph-rag-response": "non-persistent://tg/response/graph-rag:{class}", "next": "non-persistent://tg/request/agent:{id}", "prompt-request": "non-persistent://tg/request/prompt:{class}", "prompt-response": "non-persistent://tg/response/prompt:{class}", "request": "non-persistent://tg/request/agent:{id}", "response": "non-persistent://tg/response/agent:{id}", "text-completion-request": "non-persistent://tg/request/text-completion:{class}", "text-completion-response": "non-persistent://tg/response/text-completion:{class}"}, "chunker:{id}": {"input": "persistent://tg/flow/text-document-load:{id}", "output": "persistent://tg/flow/chunk-load:{id}"}, "de-write:{id}": {"input": "persistent://tg/flow/document-embeddings-store:{id}"}, "document-embeddings:{id}": {"embeddings-request": "non-persistent://tg/request/embeddings:{class}", "embeddings-response": "non-persistent://tg/response/embeddings:{class}", "input": "persistent://tg/flow/chunk-load:{id}", "output": "persistent://tg/flow/document-embeddings-store:{id}"}, "ge-write:{id}": {"input": "persistent://tg/flow/graph-embeddings-store:{id}"}, "graph-embeddings:{id}": {"embeddings-request": "non-persistent://tg/request/embeddings:{class}", "embeddings-response": "non-persistent://tg/response/embeddings:{class}", "input": "persistent://tg/flow/entity-contexts-load:{id}", "output": "persistent://tg/flow/graph-embeddings-store:{id}"}, "kg-extract-definitions:{id}": {"entity-contexts": "persistent://tg/flow/entity-contexts-load:{id}", "input": "persistent://tg/flow/chunk-load:{id}", "prompt-request": "non-persistent://tg/request/prompt:{class}", "prompt-response": "non-persistent://tg/response/prompt:{class}", "triples": "persistent://tg/flow/triples-store:{id}"}, "kg-extract-relationships:{id}": {"input": "persistent://tg/flow/chunk-load:{id}", "prompt-request": "non-persistent://tg/request/prompt:{class}", "prompt-response": "non-persistent://tg/response/prompt:{class}", "triples": "persistent://tg/flow/triples-store:{id}"}, "pdf-decoder:{id}": {"input": "persistent://tg/flow/document-load:{id}", "output": "persistent://tg/flow/text-document-load:{id}"}, "triples-write:{id}": {"input": "persistent://tg/flow/triples-store:{id}"}}, "tags": ["document-rag", "graph-rag", "knowledge-extraction"]}
resp = requests.post(
f"{url}/api/v1/flow",
json={
"operation": "put-class",
"class-name": "default",
"class-definition": json.dumps(defn),
}
)
resp = resp.json()
print(resp)