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
This commit is contained in:
cybermaggedon 2025-08-18 20:56:09 +01:00 committed by GitHub
parent c85ba197be
commit 89be656990
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509 changed files with 49632 additions and 5159 deletions

View file

@ -0,0 +1,35 @@
[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "trustgraph-ocr"
dynamic = ["version"]
authors = [{name = "trustgraph.ai", email = "security@trustgraph.ai"}]
description = "TrustGraph provides a means to run a pipeline of flexible AI processing components in a flexible means to achieve a processing pipeline."
readme = "README.md"
requires-python = ">=3.8"
dependencies = [
"trustgraph-base>=1.2,<1.3",
"pulsar-client",
"prometheus-client",
"boto3",
"pdf2image",
"pytesseract",
]
classifiers = [
"Programming Language :: Python :: 3",
"Operating System :: OS Independent",
]
[project.urls]
Homepage = "https://github.com/trustgraph-ai/trustgraph"
[project.scripts]
pdf-ocr = "trustgraph.decoding.ocr:run"
[tool.setuptools.packages.find]
include = ["trustgraph*"]
[tool.setuptools.dynamic]
version = {attr = "trustgraph.ocr_version.__version__"}

View file

@ -1,6 +0,0 @@
#!/usr/bin/env python3
from trustgraph.decoding.ocr import run
run()

View file

@ -1,47 +0,0 @@
import setuptools
import os
import importlib
with open("README.md", "r") as fh:
long_description = fh.read()
# Load a version number module
spec = importlib.util.spec_from_file_location(
'version', 'trustgraph/ocr_version.py'
)
version_module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(version_module)
version = version_module.__version__
setuptools.setup(
name="trustgraph-ocr",
version=version,
author="trustgraph.ai",
author_email="security@trustgraph.ai",
description="TrustGraph provides a means to run a pipeline of flexible AI processing components in a flexible means to achieve a processing pipeline.",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/trustgraph-ai/trustgraph",
packages=setuptools.find_namespace_packages(
where='./',
),
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)",
"Operating System :: OS Independent",
],
python_requires='>=3.8',
download_url = "https://github.com/trustgraph-ai/trustgraph/archive/refs/tags/v" + version + ".tar.gz",
install_requires=[
"trustgraph-base>=1.0,<1.1",
"pulsar-client",
"prometheus-client",
"boto3",
"pdf2image",
"pytesseract",
],
scripts=[
"scripts/pdf-ocr",
]
)

View file

@ -6,12 +6,16 @@ PDF document as text as separate output objects.
import tempfile
import base64
import logging
import pytesseract
from pdf2image import convert_from_bytes
from ... schema import Document, TextDocument, Metadata
from ... base import FlowProcessor, ConsumerSpec, ProducerSpec
# Module logger
logger = logging.getLogger(__name__)
default_ident = "pdf-decoder"
class Processor(FlowProcessor):
@ -41,15 +45,15 @@ class Processor(FlowProcessor):
)
)
print("PDF OCR inited")
logger.info("PDF OCR processor initialized")
async def on_message(self, msg, consumer, flow):
print("PDF message received", flush=True)
logger.info("PDF message received")
v = msg.value()
print(f"Decoding {v.metadata.id}...", flush=True)
logger.info(f"Decoding {v.metadata.id}...")
blob = base64.b64decode(v.data)
@ -60,7 +64,7 @@ class Processor(FlowProcessor):
try:
text = pytesseract.image_to_string(page, lang='eng')
except Exception as e:
print(f"Page did not OCR: {e}")
logger.warning(f"Page did not OCR: {e}")
continue
r = TextDocument(
@ -70,7 +74,7 @@ class Processor(FlowProcessor):
await flow("output").send(r)
print("Done.", flush=True)
logger.info("PDF decoding complete")
@staticmethod
def add_args(parser):