- eveai_chat becomes deprecated and should be replaced with SSE - Adaptation of STANDARD_RAG specialist - Base class definition allowing to realise specialists with crewai framework - Implementation of SPIN_SPECIALIST - Implementation of test app for testing specialists (test_specialist_client). Also serves as an example for future SSE-based client - Improvements to startup scripts to better handle and scale multiple connections - Small improvements to the interaction forms and views - Caching implementation improved and augmented with additional caches
46 lines
2.4 KiB
Python
46 lines
2.4 KiB
Python
from typing import Optional, List
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from pydantic import BaseModel, Field
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class LeadPersonalInfo(BaseModel):
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name: Optional[str] = Field(None, description="The full name of the lead.")
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job_title: Optional[str] = Field(None, description="The job title of the lead.")
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email: Optional[str] = Field(None, description="The email address of the lead.")
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phone: Optional[str] = Field(None, description="The phone number of the lead.")
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additional_info: Optional[str] = Field(None, description="Additional information about the lead.")
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class LeadCompanyInfo(BaseModel):
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company_name: Optional[str] = Field(..., description="The name of the company the lead works for.")
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company_website: Optional[str] = Field(None, description="The website of the company the lead works for.")
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industry: Optional[str] = Field(..., description="The industry in which the company operates.")
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company_size: Optional[int] = Field(..., description="The size of the company in terms of employee count.")
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additional_info: Optional[str] = Field(None, description="Additional information about the lead's company.")
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class LeadInfoOutput(BaseModel):
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personal_info: Optional[LeadPersonalInfo] = Field(None, description="Personal information of the lead.")
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company_info: Optional[LeadCompanyInfo] = Field(None, description="Company information related to the lead.")
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questions: Optional[str] = Field(None, description="Additional questions to further clarify Identification")
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def __str__(self):
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output = ""
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if self.personal_info:
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output += (f"PERSONAL INFO:\n\n"
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f"Name: {self.personal_info.name or 'N/A'}\n"
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f"Job Title: {self.personal_info.job_title or 'N/A'}\n"
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f"Email: {self.personal_info.email or 'N/A'}\n"
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f"Phone: {self.personal_info.phone or 'N/A'}\n"
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f"Additional Info: {self.personal_info.additional_info or 'N/A'}\n\n")
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if self.company_info:
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output += (f"COMPANY INFO:\n\n"
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f"Company Name: {self.company_info.company_name or 'N/A'}\n"
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f"Industry: {self.company_info.industry or 'N/A'}\n"
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f"Company Size: {self.company_info.company_size or 'N/A'}\n"
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f"Additional Info: {self.company_info.additional_info or 'N/A'}\n\n")
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if self.questions:
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output += f"QUESTIONS:\n\n{self.questions}\n\n"
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