openai testing

llm_ingest.py

@@ -0,0 +1,183 @@
+from openai import OpenAI
+
+client = OpenAI()
+
+tools = [
+    {
+        "type": "function",
+        "function": {
+            "name": "make_shelling_experiment",
+            "description": "This function creates a shelling experiment with defined variables that can later take exerimental data",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "date": {
+                        "type": "string",
+                        "description": "The datetime of the experiment",
+                    },
+                    "drum-rpm": {
+                        "type": "number",
+                        "description": "The speed of the drum in RPM",
+                    },
+                    "paddle-shaft-rpm": {
+                        "type": "number",
+                        "description": "The speed of the paddle shaft in RPM",
+                    },
+                    "ring-gap": {
+                        "type": "number",
+                        "description": "The gap between the drum and the ring in mm",
+                    },
+                    "tilt-angle": {
+                        "type": "number",
+                        "description": "The angle of the drum in degrees",
+                    },
+                    "moisture-content": {
+                        "type": "number",
+                        "description": "The moisture content of the material in %",
+                    },
+                    "feed-rate": {
+                        "type": "number",
+                        "description": "The rate at which material is fed into the drum in kg/h",
+                    },
+                },
+                "required": [
+                    "drum-rpm",
+                    "paddle-shaft-rpm",
+                    "ring-gap",
+                    "tilt-angle",
+                    "moisture-content",
+                ],
+            },
+        },
+    },
+    {
+        "type": "function",
+        "function": {
+            "name": "take_measurement",
+            "description": "This function takes a measurement of a shelling experiment for a given output parameter",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "name": {
+                        "type": "string",
+                        "description": "The name of the experiment",
+                    },
+                    "value": {
+                        "type": "number",
+                        "description": "The measured value",
+                    },
+                },
+                "required": ["name", "value"],
+            },
+        },
+    },
+]
+
+prompt = """
+Based on the text provided to you by the user, use the provided tools to create a new experiment and ingest the data.
+"""
+
+user_prompt = """
+7-19-2024 
+
+Meyer Exp.  
+0.290 displacement  
+6.7% moisture 
+0.45 Ring Gap
+ 
+
+Batch 1 
+
+600 paddle 
+35 drum 
+Tilt angle 3.5
+Input: 33.45
+Discharge: 
+5.84
+Throughput: 17.5%
+Final Discharge: 5.22
+Output 1: 4.16 | 15.9%
+Output 2: 5.80 | 22.1%
+Output 3: 16.27 | 62%
+
+Loss %: 5.97%
+
+Half Yield Percentage: 
+
+Output 1: 
+50.76
+53.70
+50.13
+54.65
+Avg: 52.31%
+
+Output 2: 
+54
+71.31
+62.33
+122.29
+Avg: 77.48%
+
+Output 3: 
+69.43
+61.56
+67.27
+72.82
+Avg: 67.77%
+
+Batch - 2 
+
+400 paddle 
+35 drum 
+Tilt angle 3.5
+Input: 32.2
+Discharge: 
+6.92
+6.68
+7.28
+6.58
+6.74
+5.82
+6
+Discharge Throughput: 142.9%
+Final Discharge: 5.08
+Output 1: 5.86 | 24.2%
+Output 2: 5.34 | 22.1%
+Output 3: 12.97 | 53.7%
+
+Loss %: 9.2%
+
+
+Half Yield Percentage: 
+
+Output 1: 
+67.67
+69
+69.71
+62.65
+Avg: 67.26%
+
+Outpu 2: 
+82.88
+73.53
+82.07
+68.48
+Avg: 76.74%
+
+Output 3
+61.63
+70.58
+76.61
+73.32
+Avg: 70.64%
+"""
+
+response = client.chat.completions.create(
+    model="gpt-4o",
+    messages=[
+        {"role": "system", "content": prompt},
+        {"role": "user", "content": user_prompt},
+    ],
+)
+
+print(response.choices[0].message.content)