config.py

@@ -111,22 +111,3 @@ Here is what we have thought about and we would like to phrase an OKR with up to
 this is the user input:
 {user_input}
 """
-
-team = [
-    'Khanh Dinh',
-    'Roberto Renna',
-    'Suat Sonkur',
-    'Sven Eichmeyer',
-    'Robin Plitzko',
-    'Vikas Rathore',
-    'Nadia Kartascheff',
-    'Andreas Muheim',
-    'Christopher Koch',
-    'Andreas Pluess',
-    'Manfred Hahn',
-    'Michaela Schumacher',
-    'Sandra Pastoor',
-    'Mareen Fox Rogers',
-    'Michelle Wehrli',
-    'Johannes Otto'
-]

proposer.py

@@ -1,4 +1,4 @@
-'''import streamlit as st
+import streamlit as st
 
 from api import fetch_okrs
 from config import SYSTEM_PROMPT, INPUT_TEMPLATE, PROMPT_TEMPLATE
@@ -119,120 +119,3 @@ def proposer_page():
                     language=None,
                     wrap_lines=True
                 )
-                
-'''
-
-import streamlit as st
-from api import fetch_okrs
-from config import INPUT_TEMPLATE, team
-from utils import extract_llm_response
-
-def proposer_page():
-    # Streamlit App Layout
-    st.title("AO/PM OKR Proposer")
-
-    # Input Section and Buttons Row
-    st.subheader("Enter your idea or goal:")
-    user_input = st.text_area(
-        "Input your idea here:",
-        value=st.session_state.get("user_input", INPUT_TEMPLATE.strip()),
-        height=300,
-    )
-
-    generate_okrs_clicked = st.button("Generate OKR Proposal")
-
-    if generate_okrs_clicked:
-        if not user_input.strip():
-            st.warning("Please provide some input before generating OKRs.")
-        else:
-            with st.spinner("Generating OKRs..."):
-                response = fetch_okrs(user_input=user_input)
-                if response:
-                    # Extract Objective and Key Results from response
-                    objective, key_results, hint = extract_llm_response(response)
-                    st.session_state["objective"] = objective
-                    st.session_state["key_results"] = key_results
-                    st.session_state["hint"] = hint
-
-    # Display Results Only if an OKR Has Been Generated
-    if "objective" in st.session_state and "key_results" in st.session_state:
-        # Ensure team members exist in session state
-        if "team_members" not in st.session_state:
-            # Sorting the list alphabetically by the first name
-            sorted_names = sorted(team, key=lambda name: name.split()[0])
-            st.session_state["team_members"] = sorted_names  # Default team members
-
-        team_members = st.session_state["team_members"]
-
-        # Display Objective Field with Responsibles Input Below It
-        st.subheader("Proposal Objective:")
-        objective_text = st.text_area(
-            "Proposal Objective:",
-            value=st.session_state.get("objective", ""),
-            height=100,
-        )
-
-        responsible_for_objective = st.multiselect(
-            "Select Responsibles for Objective:",
-            options=team_members,
-            default=[],
-            key="responsibles_objective"
-        )
-
-        # Display Key Results with Responsibles Below Each One
-        st.subheader("Proposal Key Results:")
-        key_result_boxes = []
-        responsibles_for_key_results = []
-
-        for i, kr in enumerate(st.session_state["key_results"], start=1):
-            kr_text = st.text_area(f"Key Result {i}:", value=kr, key=f"kr_{i}")
-            responsible_for_kr = st.multiselect(
-                f"Select Responsibles for Key Result {i}:",
-                options=team_members,
-                default=[],
-                key=f"responsibles_kr_{i}"
-            )
-            
-            key_result_boxes.append(kr_text)
-            responsibles_for_key_results.append(responsible_for_kr)
-
-        # Finalize Button Center-Aligned
-        if st.button("Finalize"):
-            finalized_objective = objective_text.strip()
-            finalized_key_results = [st.session_state[f"kr_{i+1}"].strip() for i in range(len(key_result_boxes))]
-
-            # Append initials of responsibles to Objective and Key Results
-            responsibles_list_objective = responsible_for_objective
-            initials_objective = [f"[{''.join([part[0] for part in name.split()]).upper()}]" for name in responsibles_list_objective]
-            initials_str_objective = ", ".join(initials_objective)
-
-            finalized_objective = f"{initials_str_objective} {finalized_objective}"
-
-            finalized_key_results_with_initials = []
-            for i, kr in enumerate(finalized_key_results):
-                responsibles_list_kr = responsibles_for_key_results[i]
-                initials_kr = [f"{''.join([part[0] for part in name.split()]).upper()}" for name in responsibles_list_kr]
-                initials_str_kr = ", ".join(initials_kr)
-                finalized_key_results_with_initials.append(f"KR{i+1}: [{initials_str_kr}] {kr}")
-
-            # Display finalized data in non-editable format (full width)
-            st.subheader("Finalized Objective:")
-            st.code(
-                body=finalized_objective,
-                language=None,
-                wrap_lines=True
-            )
-
-            st.subheader("Finalized Key Results:")
-            for kr in finalized_key_results_with_initials:
-                with st.container():
-                    col1, col2 = st.columns(spec=[0.1, 0.9])
-                    with col1:
-                        st.caption(kr.split(':')[0])
-                    
-                    with col2:
-                        st.code(
-                            body=kr.split(':')[-1],
-                            language=None,
-                            wrap_lines=True
-                        )

settings.json

@@ -1,13 +0,0 @@
-{
-    "system_prompt": "\nYou are an OKR coach who helps beginners create well-phrased OKRs (Objectives and Key Results). \nYour goal is to provide a proposal for an OKR based on user input, formatted as JSON. \nIf the input is unclear or incomplete, include a hint with specific questions or suggestions \nto help improve the input.\n\nAlways follow this format for your response:\n{\n    \"hint\": \"Suggestions or questions to improve the input, if needed. If no hint is needed, return an empty string.\",\n    \"proposal\": [\n        {\n            \"objective\": \"A clear and concise objective variant\",\n            \"key_results\": [\"Key result 1\", \"Key result 2\", \"... up to 5 key results\"]\n        },\n        ...\n    ]\n}\n\nKeep your responses concise, actionable, and aligned with OKR best practices. If you need more context from the user, ask for it in the `hint`.\nAlways provide a 'hint' how to further improve the user input in order to get better results.\n\n",
-    "input_template": "\nWe want to improve our SLA framework by finalizing the current SLA template, which is used for the negotiations with our ground service partners.\nThe resulting SLA will be used in order to measure the quality of the service partner and issue penalties if targets are not met. \nWe would like to improve this, to have a better steering function, e.g. by adding a bonus component to the SLA framework.\n\nTo achieve this, we need to develop a bonus concept which is viable, feasible and desirable. \nWe need to simulate the concept, so that we don't risk issuing too much bonus which we cannot cover.\nWe need to define organizational processes and responsibilities so that we are able to pay a bonus.\n\nHow should the OKR look like for the next cycle which starts in Jan 2025 and ends in Apr 2025?\n",
-    "prompt_template": "\nPlease help us in defining proper OKRs.\nHere is what we have thought about and we would like to phrase an OKR with maximum 5 key results.\nThe next OKR cycle is from JAN 2025 till APR 2025.\n\nthis is the user input:\n{user_input}\n\nPlease provide the response in json format. \n",
-    "num_key_results": 4,
-    "team_members": [
-        "Khanh Dinh",
-        "Robin Plitzko",
-        "Roberto Renna",
-        "Nadia Ka"
-    ],
-    "team_member_template": "{name} - Team Member"
-}

settings.py

@@ -1,8 +1,8 @@
 import streamlit as st
 import json
 import os
-from config import SYSTEM_PROMPT, INPUT_TEMPLATE, PROMPT_TEMPLATE, team
+from config import SYSTEM_PROMPT, INPUT_TEMPLATE, PROMPT_TEMPLATE
-'''
+
 def settings_page():
     st.title("Settings")
 
@@ -85,7 +85,7 @@ def team_member_management():
                 st.warning(f"{new_member.strip()} is already in the team.")
         else:
             st.warning("Please enter a valid name.")
-'''
+
 
 
 

utils.py

@@ -103,13 +103,16 @@ def extract_llm_response(response):
     Returns:
         tuple: A tuple containing the objective (str), key results (list), and hint (str).
     """
+    print("RESPONSE:",response)
 
     raw_message_content = response["choices"][0]["message"]["content"]
-
+    print("raw_message_content:", raw_message_content)
     # Clean and parse the JSON content
     cleaned_content = raw_message_content.replace("`", "").split("json")[-1]
+    print("cleaned content", cleaned_content)
 
     parsed_data = parse_json_content(cleaned_content=cleaned_content)
+    print("parsed_data:",parsed_data)
 
     hint = parsed_data.get("hint", "")
 
@@ -124,4 +127,34 @@ def extract_llm_response(response):
         objective = ""
         key_results = []
 
+    #print("debug:", parsed_data.get("objective", ""))
+
     return objective, key_results, hint
+
+    #try:
+    # Extract hint from the response
+    hint = response.get("hint", "")
+
+    # Extract proposals from the response
+    proposals = response.get("proposals", [])
+    print("hint:", hint)
+    print("proposals:", proposals)
+
+    # Check if proposals are available
+    if proposals:
+        # Extract the first proposal's objective and key results
+        first_proposal = proposals[0]  # Get the first proposal (assuming it's a list)
+        objective = first_proposal.get("objective", "")
+        key_results = first_proposal.get("key_results", [])
+    else:
+        objective = ""
+        key_results = []
+
+    # Log parsed data for debugging
+    print("parsed_data:", {"objective": objective, "key_results": key_results, "hint": hint})
+
+    return objective, key_results, hint
+
+    #except Exception as e:
+    #    print(f"Error parsing API response: {e}")
+    #    return "", [], ""