added managers apis

src/prompts/sops.py

@@ -129,6 +129,39 @@ def get_departments_managers_workers_extraction_prompt():
     If no departments, managers, or workers are found in the document, return an empty list for departments.
     """
 
+def get_managers_workers_extraction_prompt():
+    return """
+    Extract only the managers and workers from the document.
+    For each manager, include their name, position, role, and key responsibilities.
+    Additionally, for each worker, extract their name, position, and list 1-2 key responsibilities.
+    Do not add any managers or workers that are not explicitly mentioned in the document.
+    Managers: Include the managers (e.g., Department Head, Manager), their role, and key responsibilities. 
+       - **PRP (Primary Responsible Person)**: A manager who has primary responsibility for decision-making and overseeing operations.
+       - **SRP (Secondary Responsible Person)**: A manager who supports the PRP, often assisting with tasks and providing backup in decision-making.
+
+    Format as JSON:
+    {
+        "managers": [
+            {
+                "name": "Manager Name",
+                "position": "Manager Position",
+                "role": "PRP or SRP",  # The classification field either PRP or SRP
+                "responsibilities": ["Key Responsibility 1", "Key Responsibility 2"]
+            }
+        ],
+        "workers": [
+            {
+                "name": "Worker Name",
+                "position": "Worker Position",
+                "responsibilities": ["Key Responsibility 1", "Key Responsibility 2"]
+            }
+        ]
+    }
+    If no managers or workers are found in the document, return an empty list for them.
+    """
+
+
+
 
 
 
@@ -202,23 +235,17 @@ def get_sop_executive_from_questionnaire():
     Ensure that each specified department has its own set of SOPs.
     '''
 
-def generate_llm_comparison_prompt(reference_roles, extracted_managers):
-    reference_roles_str = ', '.join(reference_roles)
-    extracted_managers_str = '\n'.join([f"- {manager['name']} (Position: {manager['position']}, Role: {manager['role']})" for manager in extracted_managers])
-
-    prompt = f"""
+def get_roles_reference_comparison():
+    prompt = """
     You are tasked with comparing a list of reference roles with the extracted roles from a document.
 
-    Reference roles:
-    [{reference_roles_str}]
-    
-    Extracted roles:
-    {extracted_managers_str}
-    
     Please classify the roles into the following categories:
     1. **Assigned Roles**: Roles that are found in both the reference list and the extracted list.
     2. **Unassigned Roles**: Roles that are found in the reference list but not in the extracted list.
     3. **Unavailable Roles**: Roles that are found in the extracted list but not in the reference list.
+    
+    Instruction:
+    1. Use only the position to judge the extraction.
 
     Return the result in the following JSON format:
     {
@@ -234,3 +261,34 @@ def generate_llm_comparison_prompt(reference_roles, extracted_managers):
     }
     """
     return prompt
+
+
+
+def get_sop_for_department_workers():
+    return '''Generate SOPs for each worker under the unique department based on the information the workers info provided
+
+    Instructions:
+    1. Focus on the provided department and worker role.
+    2. Categorize SOPs into "must," "shall," and "will."
+    3. SOPs should be actionable and relevant to the worker's duties.
+    4. If no SOPs can be generated, return empty lists for each category.
+    5. Use the provided document and the workers and department information to generate the SOP.
+    6. If the provided document cannot provide SOPs for a specific worker stated, then return an empty list for the SOP for that worker.
+    
+    Example format:
+    {
+        "departments": [
+            {
+                "name": "Department A",
+                "workers": [
+                    {
+                        "name": "Worker A",
+                        "must": ["Conduct weekly meetings"],
+                        "shall": ["Submit monthly reports"],
+                        "will": ["Improve efficiency"]
+                    }
+                ]
+            }
+        ]
+    }s
+    '''