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"""
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Configuration Module
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Handles environment variables and application settings
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"""
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import os
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from typing import List
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2025-12-17 20:58:01 +01:00
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from pydantic import field_validator
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from pydantic_settings import BaseSettings
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class Settings(BaseSettings):
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"""Application settings loaded from environment variables"""
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# Database
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DATABASE_URL: str = "postgresql://bmc_hub:bmc_hub@localhost:5432/bmc_hub"
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# API
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API_HOST: str = "0.0.0.0"
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API_PORT: int = 8000
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API_RELOAD: bool = False
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# Security
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SECRET_KEY: str = "dev-secret-key-change-in-production"
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ALLOWED_ORIGINS: List[str] = ["http://localhost:8000", "http://localhost:3000"]
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CORS_ORIGINS: str = "http://localhost:8000,http://localhost:3000"
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2025-12-05 14:22:39 +01:00
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# Logging
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LOG_LEVEL: str = "INFO"
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LOG_FILE: str = "logs/app.log"
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# e-conomic Integration
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ECONOMIC_API_URL: str = "https://restapi.e-conomic.com"
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ECONOMIC_APP_SECRET_TOKEN: str = ""
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ECONOMIC_AGREEMENT_GRANT_TOKEN: str = ""
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ECONOMIC_READ_ONLY: bool = True
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ECONOMIC_DRY_RUN: bool = True
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2025-12-16 15:36:11 +01:00
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# Ollama LLM
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OLLAMA_ENDPOINT: str = "http://localhost:11434"
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OLLAMA_MODEL: str = "llama3.2:3b"
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# vTiger Cloud Integration
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feat(timetracking): Implement time tracking module with frontend views, HTML templates, and database migrations
- Added FastAPI router for time tracking views including dashboard, wizard, and orders.
- Created HTML templates for the time tracking wizard with responsive design and Bootstrap integration.
- Developed SQL migration script for the time tracking module, including tables for customers, cases, time entries, orders, and audit logs.
- Introduced a script to list all registered routes, focusing on time tracking routes.
- Added test script to verify route registration and specifically check for time tracking routes.
2025-12-09 22:46:30 +01:00
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VTIGER_URL: str = ""
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VTIGER_USERNAME: str = ""
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VTIGER_API_KEY: str = ""
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feat: Implement email processing system with scheduler, fetching, classification, and rule matching
- Added EmailProcessorService to orchestrate email workflow: fetching, saving, classifying, and matching rules.
- Introduced EmailScheduler for background processing of emails every 5 minutes.
- Developed EmailService to handle email fetching from IMAP and Microsoft Graph API.
- Created database migration for email system, including tables for email messages, rules, attachments, and analysis.
- Implemented AI classification and extraction for invoices and time confirmations.
- Added logging for better traceability and error handling throughout the email processing pipeline.
2025-12-11 02:31:29 +01:00
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2025-12-16 22:07:20 +01:00
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# Time Tracking Module Settings
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TIMETRACKING_DEFAULT_HOURLY_RATE: float = 1200.00
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TIMETRACKING_AUTO_ROUND: bool = True
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TIMETRACKING_ROUND_INCREMENT: float = 0.5
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TIMETRACKING_ROUND_METHOD: str = "up" # "up", "down", "nearest"
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# Time Tracking Module Safety Flags
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TIMETRACKING_VTIGER_READ_ONLY: bool = True
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TIMETRACKING_VTIGER_DRY_RUN: bool = True
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TIMETRACKING_ECONOMIC_READ_ONLY: bool = True
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TIMETRACKING_ECONOMIC_DRY_RUN: bool = True
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TIMETRACKING_EXPORT_TYPE: str = "draft" # "draft" or "booked"
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2025-12-16 15:36:11 +01:00
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# Simply-CRM (Old vTiger On-Premise)
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OLD_VTIGER_URL: str = ""
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OLD_VTIGER_USERNAME: str = ""
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OLD_VTIGER_API_KEY: str = ""
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feat: Implement email processing system with scheduler, fetching, classification, and rule matching
- Added EmailProcessorService to orchestrate email workflow: fetching, saving, classifying, and matching rules.
- Introduced EmailScheduler for background processing of emails every 5 minutes.
- Developed EmailService to handle email fetching from IMAP and Microsoft Graph API.
- Created database migration for email system, including tables for email messages, rules, attachments, and analysis.
- Implemented AI classification and extraction for invoices and time confirmations.
- Added logging for better traceability and error handling throughout the email processing pipeline.
2025-12-11 02:31:29 +01:00
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2025-12-16 15:36:11 +01:00
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# Simply-CRM (Separate System)
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SIMPLYCRM_URL: str = ""
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SIMPLYCRM_USERNAME: str = ""
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SIMPLYCRM_API_KEY: str = ""
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2025-12-15 12:28:12 +01:00
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2025-12-17 17:28:50 +01:00
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# Deployment Configuration (used by Docker/Podman)
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POSTGRES_USER: str = "bmc_hub"
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POSTGRES_PASSWORD: str = "bmc_hub"
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POSTGRES_DB: str = "bmc_hub"
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POSTGRES_PORT: int = 5432
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RELEASE_VERSION: str = "latest"
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GITEA_URL: str = "https://g.bmcnetworks.dk"
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GITHUB_TOKEN: str = ""
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GITHUB_REPO: str = "ct/bmc_hub"
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2025-12-17 20:58:01 +01:00
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@field_validator('*', mode='before')
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@classmethod
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def strip_whitespace(cls, v):
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"""Strip leading/trailing whitespace from string values"""
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if isinstance(v, str):
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return v.strip()
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return v
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2025-12-05 14:22:39 +01:00
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class Config:
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env_file = ".env"
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case_sensitive = True
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settings = Settings()
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