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…dded bicep code for container app
Macae v3 dev marktayl
feat: Implement deployer-based role assignments
dataset restore
… to have all the packages required
Deleted the scenarios package and onboarding_cases.py, which contained employee onboarding test cases and examples. This cleanup removes unused or obsolete scenario definitions from the backend.
feat: update bicep to provision new storage and search resources, script for uploading and indexing sample data
feat: added the local deployment changes
Fr4nc3
requested review from
Avijit-Microsoft,
Prajwal-Microsoft,
Roopan-Microsoft,
Vinay-Microsoft,
aniaroramsft and
marktayl1
as code owners
Introduces azure_custom.yaml and main_custom.bicep for custom deployment scenarios, adds several infrastructure scripts for CosmosDB and Azure AI role assignments, and updates main.bicep outputs. Removes unused frontend components and services, and updates backend Dockerfile and foundry_service.py for new infrastructure integration.
Added multiple sample datasets to the data/datasets directory. Updated infrastructure Bicep to provision storage, search, and a new MCP container app, including new modules and scripts. Adjusted .gitignore and azure_custom.yaml for new service and environment. Various backend and MCP server files updated for integration with new resources.
Deleted my_mcp_server.py and utils_date.py from the MCP server source. This removes the main server implementation and the date formatting utility, likely as part of a refactor or deprecation.
Replaced direct os.getenv calls with values from the AppConfig instance throughout backend modules. Updated environment variable loading and usage in agent models, agent factory, and orchestration manager for consistency and improved maintainability. Added new config options to .env.sample and AppConfig for MCP, Azure Search, and Bing integration.
MCP server name and description now default to 'MCPGreetingServer' and a descriptive string if not set in environment. MCPConfig now reads endpoint, name, and description from app config for improved flexibility.
Deleted multiple CSV and JSON files containing sample datasets from the data/datasets directory. This cleanup may be in preparation for new data sources, restructuring, or to remove obsolete test data.
Introduces a plan_id field to the InputTask model and ensures it is set if missing in the process_request API endpoint. Also updates response to include plan_id, modifies .env.sample, switches dependency from fastmcp to mcp in pyproject.toml, and comments out user ownership check in team_service.
Introduces the UserCurrentTeam model to represent a user's current team. Updates the API router to generate a new plan with a unique ID and store it in the database, removing plan_id and team_id from InputTask. Plan creation now includes initial goal and status.
Changed Plan model to use plan_id and made team_id optional. Refactored plan creation logic in router.py to handle plan creation errors, removed mandatory team_id check, and added event tracking for plan creation success and failure.
Changed MCP_SERVER_ENDPOINT port in .env.sample from 9000 to 8080. Fixed API response in router.py to return the correct plan_id variable instead of input_task.plan_id.
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