updating the demo and model-server-tests to pull from poetry

.github/workflows/model-server-tests.yml

@@ -23,16 +23,22 @@ jobs:
         with:
           python-version: "3.10"  # Adjust to your Python version
 
-      # Step 3: Install dependencies (from requirements.txt or Pipfile)
+      # Step 3: Install Poetry
+      - name: Install Poetry
+        run: |
+          curl -sSL https://install.python-poetry.org | python3 -
+          export PATH="$HOME/.local/bin:$PATH"
+
+      # Step 4: Install dependencies using Poetry
       - name: Install dependencies
         run: |
           cd model_server
-          pip install --upgrade pip
-          pip install -r requirements.txt  # Or use pipenv install
-          pip install pytest
+          poetry install
 
-      # Step 4: Set PYTHONPATH and run tests
+      # Step 5: Set PYTHONPATH and run tests
       - name: Run model server tests with pytest
+        env:
+          PYTHONPATH: model_server  # Ensure the app's path is available
         run: |
           cd model_server
-          PYTHONPATH=. pytest --maxfail=5 --disable-warnings
+          poetry run pytest --maxfail=5 --disable-warnings

demos/hr_agent/arch_config.yaml

@@ -24,7 +24,7 @@ endpoints:
 
 # default system prompt used by all prompt targets
 system_prompt: |
-  You are a HR agent assistant that helps HR decision makers with reporting and workfoce planning. Nothing else. Please stay on topic of HR.
+  You are a Workforce agent assistant that helps workforce planning and HR decision makers with reporting and workfoce planning. NOTHING ELSE. Please stay on topic of workforce planning and HR.
 
 prompt_targets:
     - name: hr_qa
@@ -41,12 +41,12 @@ prompt_targets:
       parameters:
         - name: staffing_type
           type: str
-          description: The staffing type like contract, fte or agency
+          description: Staffing type like contract, fte or agency
           required: true
         - name: region
           type: str
           required: true
-          description: the geographical region for which you want workforce data.
+          description: Geographical region for which you want workforce data like asia, europe, americas.
         - name: point_in_time
           type: int
           required: false

demos/hr_agent/main.py

@@ -50,7 +50,7 @@ def get_workforce(request: WorkforceRequset):
         "region": region,
         "staffing_type": f"Staffing agency: {staffing_type}",
         "headcount": f"Headcount: {int(workforce_data_df[(workforce_data_df['region']==region) & (workforce_data_df['point_in_time']==point_in_time)][staffing_type].values[0])}",
-        "satisfaction": f"Satisifaction: {float(workforce_data_df[(workforce_data_df['region']==region) & (workforce_data_df['point_in_time']==point_in_time)][satisfaction].values[0])}",
+        "satisfaction": f"Satisifaction: {float(workforce_data_df[(workforce_data_df['region']==region) & (workforce_data_df['point_in_time']==point_in_time)]['satisfaction'].values[0])}",
     }
     return response