Piotr Oleszczyk
31e030eaac
Add POST /products/parse-text endpoint that accepts raw product text, calls Gemini (google-genai) with a structured extraction prompt, and returns a partial ProductParseResponse. Frontend gains a collapsible "AI pre-fill" card at the top of ProductForm that merges the LLM response into all form fields reactively. - Backend: ProductParseRequest/Response schemas, system prompt with enum constraints, temperature=0.0 for deterministic extraction, effect_profile always returned in full - Frontend: parseProductText() in api.ts; controlled $state bindings for all text/number/checkbox inputs; applyAiResult() merges response Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
32 lines
596 B
TOML
32 lines
596 B
TOML
[project]
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name = "innercontext"
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version = "0.1.0"
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description = "Add your description here"
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readme = "README.md"
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requires-python = ">=3.12"
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dependencies = [
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"fastapi>=0.132.0",
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"google-genai>=1.65.0",
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"psycopg>=3.3.3",
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"python-dotenv>=1.2.1",
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"sqlmodel>=0.0.37",
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"uvicorn[standard]>=0.34.0",
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]
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[dependency-groups]
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dev = [
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"black>=26.1.0",
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"httpx>=0.28.1",
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"isort>=8.0.0",
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"pytest>=9.0.2",
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"ruff>=0.15.2",
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"ty>=0.0.18",
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]
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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pythonpath = ["."]
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addopts = "-v --tb=short"
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[tool.isort]
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profile = "black"
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