9e2473c3e9
Full-stack implementation enabling UI-driven management of the 5 AI agent knowledge bases (Legal, Brand Barclays, Brand Barclaycard, Channel Best Practices, Channel Tech Specs). Backend: - 4 new DB models: KnowledgeBase, SourceDocument, SpecVersion, ProcessingJob - Migration 006: creates tables, seeds 5 KB rows, imports existing prompts/*.md as v1 specs - KnowledgeBaseRepository with full CRUD for all 4 tables - LlamaParseService for document parsing, KnowledgeBaseService for pipeline orchestration - ReferenceDocsService updated with DB-backed spec loading + cache invalidation - 11 REST endpoints under /api/knowledge-base (list, detail, upload, delete, process, job status, versions, diff, activate) - StorageService extended with KB document storage Frontend: - TypeScript types for all KB entities (KnowledgeBaseListItem, SourceDocument, ProcessingJob, SpecVersion, DiffResult) - ApiService methods for all KB endpoints including multipart file upload - KnowledgeBase component with 3-level UI: agent grid, detail view (documents + versions tabs), diff viewer - Drag-and-drop file upload, processing progress bar with 3s polling, version comparison - KnowledgeBaseIcon + Sidebar nav item with adminOnly filtering Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
59 lines
2.3 KiB
Python
Executable file
59 lines
2.3 KiB
Python
Executable file
import os
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from pathlib import Path
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from dotenv import load_dotenv
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# Load environment variables from .env file
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load_dotenv()
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class Settings:
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"""Application settings loaded from environment variables."""
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GEMINI_API_KEY: str = os.getenv("GEMINI_API_KEY", "")
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CORS_ORIGINS: str = os.getenv("CORS_ORIGINS", "http://localhost:3000")
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HOST: str = os.getenv("HOST", "0.0.0.0")
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PORT: int = int(os.getenv("PORT", "8000"))
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# Reference docs path - defaults to ../reference_docs relative to backend/
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_default_ref_docs = Path(__file__).parent.parent.parent / "reference_docs"
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REFERENCE_DOCS_PATH: str = os.getenv("REFERENCE_DOCS_PATH", str(_default_ref_docs))
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# Azure AD Configuration for token verification
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AZURE_TENANT_ID: str = os.getenv("AZURE_TENANT_ID", "")
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AZURE_CLIENT_ID: str = os.getenv("AZURE_CLIENT_ID", "")
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# Auth bypass for development (set to "true" to skip auth)
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DISABLE_AUTH: bool = os.getenv("DISABLE_AUTH", "false").lower() == "true"
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# Database configuration
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DATABASE_URL: str = os.getenv(
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"DATABASE_URL",
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"postgresql+asyncpg://modcomms:modcomms_dev@localhost:5432/modcomms"
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)
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# File storage path for uploaded proofs
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_default_storage = Path(__file__).parent.parent.parent / "storage"
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FILE_STORAGE_PATH: str = os.getenv("FILE_STORAGE_PATH", str(_default_storage))
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# LlamaParse API key (optional - KB processing pipeline disabled if not set)
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LLAMA_CLOUD_API_KEY: str = os.getenv("LLAMA_CLOUD_API_KEY", "")
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# Mailgun Configuration for support emails
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MAILGUN_API_URL: str = os.getenv("MAILGUN_API_URL", "")
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MAILGUN_API_KEY: str = os.getenv("MAILGUN_API_KEY", "")
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MAILGUN_FROM: str = os.getenv("MAILGUN_FROM", "")
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SUPPORT_EMAIL: str = os.getenv("SUPPORT_EMAIL", "BAICsupport@oliver.agency")
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def validate(self) -> None:
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"""Validate required settings are present."""
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if not self.GEMINI_API_KEY:
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raise ValueError("GEMINI_API_KEY environment variable is required")
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if not self.DISABLE_AUTH:
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if not self.AZURE_TENANT_ID:
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raise ValueError("AZURE_TENANT_ID environment variable is required (or set DISABLE_AUTH=true)")
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if not self.AZURE_CLIENT_ID:
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raise ValueError("AZURE_CLIENT_ID environment variable is required (or set DISABLE_AUTH=true)")
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settings = Settings()
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