feat: get downtimes

data/downtimes.json

@@ -0,0 +1,18 @@
+[
+    {
+        "Timestamp":"2025-06-11 00:07:38",
+        "Event":"Machine Error",
+        "Error Code":"E003",
+        "Error Description":"Material Jam",
+        "Downtime Start":"2025-06-11 00:07:38",
+        "Downtime End":"2025-06-11 00:15:38"
+    },
+    {
+        "Timestamp":"2025-06-11 00:17:40",
+        "Event":"Machine Error",
+        "Error Code":"E007",
+        "Error Description":"Wear and Tear of Parts",
+        "Downtime Start":"2025-06-11 00:17:40",
+        "Downtime End":"2025-06-11 00:32:40"
+    }
+]

data/status.json

@@ -1 +1,28 @@
-{}
+{
+    "opening_time": "0 days 00:28:14",
+    "required_time": "0 days 00:28:14",
+    "unplanned_stop_time": "0 days 00:23:00",
+    "operating_time": "0 days 00:05:14",
+    "net_time": "0 days 00:05:14",
+    "useful_time": "0 days 00:04:53",
+    "quality_rate": 93.31,
+    "quality_rate_tool_1": 96.18,
+    "quality_rate_tool_2": 91.67,
+    "operating_rate": 100.0,
+    "availability_rate": 18.54,
+    "OEE": 17.3,
+    "MTBF": "0 days 00:02:37",
+    "MTTR": "0 days 00:11:30",
+    "tool_1_cp_pos": 0.673,
+    "tool_1_cpk_pos": 0.6552,
+    "tool_1_cp_ori": 0.7081,
+    "tool_1_cpk_ori": 0.6937,
+    "tool_2_cp_pos": 0.4325,
+    "tool_2_cpk_pos": 0.4278,
+    "tool_2_cp_ori": 0.6556,
+    "tool_2_cpk_ori": 0.6436,
+    "all_cp_pos": 0.5155,
+    "all_cpk_pos": 0.5115,
+    "all_cp_ori": 0.681,
+    "all_cpk_ori": 0.6803
+}

src/agent/mistral_agent.py

@@ -8,6 +8,7 @@ from src.agent.tools import (
     retrieve_knowledge,
     visit_webpage,
     get_production_status,
+    get_downtimes,
 )
 
 load_dotenv()
@@ -24,6 +25,7 @@ class MistralAgent:
             "retrieve_knowledge": retrieve_knowledge,
             "visit_webpage": visit_webpage,
             "get_production_status": get_production_status,
+            "get_downtimes": get_downtimes,
         }
         self.tools = self.get_tools()
 
@@ -36,5 +38,6 @@ class MistralAgent:
                 retrieve_knowledge,
                 visit_webpage,
                 get_production_status,
+                get_downtimes,
             ]
         ).get('tools')

src/agent/tools/__init__.py

@@ -1,4 +1,5 @@
 from .calculator import calculate_sum
 from .retrieve_knowledge import retrieve_knowledge
 from .visit_webpage import visit_webpage
-from .check_production import get_production_status
+from .check_production import get_production_status
+from .check_downtines import get_downtimes

src/agent/tools/check_downtines.py

@@ -0,0 +1,27 @@
+import json
+from src.agent.utils.tooling import tool
+
+@tool
+def get_downtimes() -> str:
+    """
+    This tool retrieves the production downtimes including :
+    - Timestamps of downtimes starts and endings,
+    - Event, Error Code and Error Description
+    """
+    try:
+        with open("data/downtimes.json", "r") as f:
+            json_string = f.read()
+
+        data = json.loads(json_string)
+
+        if data is None or len(data) == 0:
+            result = "No downtimes recorded yet. Please check the production status or wait for downtimes to occur."
+        else:
+            result = "## Downtimes:\n\n"
+            result += json_string
+
+        return result
+
+    except Exception as e:
+        print(f"Error getting production status: {e}")
+        return None

src/agent/tools/check_production.py

@@ -1,3 +1,4 @@
+import json
 from src.agent.utils.tooling import tool
 
 @tool
@@ -9,13 +10,17 @@ def get_production_status() -> str:
         with open("data/status.json", "r") as f:
             json_string = f.read()
 
-        result = "## Production status:\n\n"
-        result += json_string
-        result += "\n\n## Description:\n"
-#       result += """
-#   These data represent various performance and efficiency metrics related to a manufacturing or production process. They include time-based measurements such as total operating time, unplanned stops, and net productive time. Additionally, quality rates assess the percentage of products meeting specifications, often broken down by different tools or stations. Availability and operating rates indicate the proportion of scheduled production time that the equipment is actually running. Key performance indicators such as Overall Equipment Effectiveness (OEE), Mean Time Between Failures (MTBF), and Mean Time To Repair (MTTR) provide insights into equipment reliability and maintenance efficiency. Finally, process capability indices (Cp and Cpk) evaluate the precision and consistency of the tools used in production, considering both position and orientation parameters.
-#       """
-        result += "\n\nWARNING:\n If all metrics are null, it means that the production is not running or has not started yet."
+        data = json.loads(json_string)
+
+        if data == {}:
+            result = "Production has not started yet."
+
+        elif data["opening_time"] == "0 days 00:00:00":
+            result = "Production has not started yet."
+        else:
+            result = "## Production status:\n\n"
+            result += json_string
+
         return result
 
     except Exception as e:

src/production/metrics/machine.py

@@ -62,4 +62,8 @@ async def machine_metrics(raw_data):
 async def fetch_issues(raw_data):
     df = pd.DataFrame(raw_data)
     issues = df[df["Event"] == "Machine Error"]
-    return issues[["Timestamp", "Event", "Error Code", "Error Description", "Downtime Start", "Downtime End"]]
+    selected_issues = issues[
+        ["Timestamp", "Event", "Error Code", "Error Description", "Downtime Start", "Downtime End"]
+    ]
+    selected_issues.to_json('data/downtimes.json', orient="records", indent=4)
+    return selected_issues

src/ui/sidebar.py

@@ -41,7 +41,7 @@ def sidebar_ui(state, width=700, visible=True):
                             examples=[
                               #  ["What is the sum of 1+1 ?"],
                                 ["How is the production process going?"],
-                                ["What are the common issues faced in production?"],
+                                ["What are the common downtimes faced in production?"],
                                 ["Can you explain me Cp & Cpk KPIs ?"],
                                # ["Can you provide insights on equipment performance?"],
                                # ["How can I optimize the workflow in the production area?"],

tools.json

@@ -71,5 +71,17 @@
                 "required": []
             }
         }
+    },
+    {
+        "type": "function",
+        "function": {
+            "name": "get_downtimes",
+            "description": "This tool retrieves the production downtimes including :",
+            "parameters": {
+                "type": "object",
+                "properties": {},
+                "required": []
+            }
+        }
     }
 ]