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https://github.com/trustgraph-ai/trustgraph.git
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Third backend alongside Pulsar and RabbitMQ. Topics map 1:1 to Kafka topics, subscriptions map to consumer groups. Response/notify uses unique consumer groups with correlation ID filtering. Topic lifecycle managed via AdminClient with class-based retention. Initial code drop: Needs major integration testing
39 lines
1 KiB
TOML
39 lines
1 KiB
TOML
[build-system]
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requires = ["setuptools>=61.0", "wheel"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "trustgraph-base"
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dynamic = ["version"]
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authors = [{name = "trustgraph.ai", email = "security@trustgraph.ai"}]
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description = "TrustGraph provides a means to run a pipeline of flexible AI processing components in a flexible means to achieve a processing pipeline."
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readme = "README.md"
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requires-python = ">=3.8"
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dependencies = [
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"pulsar-client",
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"prometheus-client",
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"requests",
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"python-logging-loki",
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"pika",
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"confluent-kafka",
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"pyyaml",
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]
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classifiers = [
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"Programming Language :: Python :: 3",
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"Operating System :: OS Independent",
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]
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[project.urls]
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Homepage = "https://github.com/trustgraph-ai/trustgraph"
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[project.scripts]
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processor-group = "trustgraph.base.processor_group:run"
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[tool.setuptools.packages.find]
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include = ["trustgraph*"]
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[tool.setuptools.package-data]
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"trustgraph.i18n.packs" = ["*.json"]
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[tool.setuptools.dynamic]
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version = {attr = "trustgraph.base_version.__version__"}
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