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refactor: Implement CrewAI Flow for email processing
- Add EmailState model for Flow state management - Create EmailProcessingFlow class with event-based automation - Update tools and crews for Flow integration - Add comprehensive Flow tests - Implement error handling and state tracking - Add mock implementations for testing This implementation uses CrewAI Flow features to create an event-based email processing system that can analyze emails, research senders, and generate appropriate responses using specialized AI crews. Co-Authored-By: Joe Moura <joao@crewai.com>
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pyproject.toml
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pyproject.toml
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[build-system]
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requires = ["setuptools>=45", "wheel"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "email-processor"
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version = "0.1.0"
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description = "CrewAI-powered email processing system"
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readme = "docs/README.md"
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requires-python = ">=3.10,<=3.13"
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license = {text = "MIT"}
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dependencies = [
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"crewai>=0.86.0", # Updated to latest version with Flow support
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"crewai-tools>=0.1.0",
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"google-api-python-client>=2.0.0",
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"google-auth>=2.0.0",
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"google-auth-oauthlib>=0.4.6",
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"python-dotenv>=0.19.0",
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]
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[tool.setuptools]
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package-dir = {"" = "src"}
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