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updating the demo and model-server-tests to pull from poetry
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3 changed files with 16 additions and 10 deletions
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@ -24,7 +24,7 @@ endpoints:
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# default system prompt used by all prompt targets
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system_prompt: |
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You are a HR agent assistant that helps HR decision makers with reporting and workfoce planning. Nothing else. Please stay on topic of HR.
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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.
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prompt_targets:
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- name: hr_qa
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@ -41,12 +41,12 @@ prompt_targets:
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parameters:
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- name: staffing_type
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type: str
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description: The staffing type like contract, fte or agency
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description: Staffing type like contract, fte or agency
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required: true
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- name: region
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type: str
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required: true
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description: the geographical region for which you want workforce data.
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description: Geographical region for which you want workforce data like asia, europe, americas.
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- name: point_in_time
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type: int
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required: false
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@ -50,7 +50,7 @@ def get_workforce(request: WorkforceRequset):
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"region": region,
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"staffing_type": f"Staffing agency: {staffing_type}",
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"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])}",
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"satisfaction": f"Satisifaction: {float(workforce_data_df[(workforce_data_df['region']==region) & (workforce_data_df['point_in_time']==point_in_time)][satisfaction].values[0])}",
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"satisfaction": f"Satisifaction: {float(workforce_data_df[(workforce_data_df['region']==region) & (workforce_data_df['point_in_time']==point_in_time)]['satisfaction'].values[0])}",
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}
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return response
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