jessey
bbc22fa288
ai.explain_stream(findings_text, on_chunk) streams token deltas and returns (ok, full_text). Ollama: stream=True NDJSON; Claude: stream=True SSE (parse content_block_delta text deltas). The diagnostic dialog opens an explanation window immediately and fills it token-by-token via a _chunk signal, then re-renders the finished answer as Markdown — no more multi-second freeze on a local model. Non-streaming explain() kept for the CLI. Tests for both parsers; verified live against qwen2.5:7b. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
27 lines
677 B
TOML
27 lines
677 B
TOML
[build-system]
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requires = ["setuptools>=61"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "rigdoctor"
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version = "0.33.0"
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description = "Modular hardware monitoring & crash diagnostics for Linux gamers."
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readme = "README.md"
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requires-python = ">=3.11"
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# Core/CLI/daemon are stdlib-only by design (D2). The GUI/tray modules will add
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# PySide6 via an optional extra when those land.
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dependencies = []
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[project.optional-dependencies]
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gui = ["PySide6", "pyte"]
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[project.scripts]
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rigdoctor = "rigdoctor.cli:main"
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rigdoctor-gui = "rigdoctor.gui.app:main"
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[tool.setuptools.packages.find]
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where = ["src"]
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[tool.setuptools.package-data]
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rigdoctor = ["gui/assets/*.svg"]
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