Initial commit with Git LFS

.gitattributes

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Dockerfile

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+FROM python:3.10
+
+WORKDIR /app
+
+COPY requirements.txt .
+
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY . .
+
+EXPOSE 7860
+
+CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]

README.md

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+---
+title: Rtl Log Intelligence Api
+emoji: 📚
+colorFrom: purple
+colorTo: red
+sdk: docker
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app/cluster_metadata.py

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+cluster_info = {
+
+0:{
+"name":"Clock Domain Crossing Issues",
+"description":"Failures related to clock synchronization, CDC bridges and timing violations",
+"subsystem":"CLOCK_MANAGER"
+},
+
+1:{
+"name":"Memory Controller Operations",
+"description":"General memory controller operations, refresh cycles and scheduling",
+"subsystem":"MEM_CTRL"
+},
+
+2:{
+"name":"AXI Protocol Errors",
+"description":"AXI transaction failures including burst violations and timeouts",
+"subsystem":"AXI_CTRL"
+},
+
+3:{
+"name":"DMA Engine Failures",
+"description":"DMA transfer problems and arbitration issues",
+"subsystem":"DMA_ENGINE"
+},
+
+4:{
+"name":"Power Management Events",
+"description":"Voltage rail monitoring and regulator stability events",
+"subsystem":"POWER_CTRL"
+},
+
+5:{
+"name":"FIFO Buffer Errors",
+"description":"FIFO overflow, underflow and parity failures",
+"subsystem":"FIFO_BUF"
+},
+
+6:{
+"name":"PCIe Link Events",
+"description":"PCIe link training and protocol layer issues",
+"subsystem":"PCIE_CTRL"
+},
+
+7:{
+"name":"Voltage Sensor Issues",
+"description":"Voltage sensor calibration or measurement failures",
+"subsystem":"POWER_CTRL"
+},
+
+8:{
+"name":"DDR Signal Integrity Problems",
+"description":"DDR chip select or signal glitch issues",
+"subsystem":"DDR_CTRL"
+},
+
+9:{
+"name":"DVFS Management",
+"description":"Dynamic voltage frequency scaling state transitions",
+"subsystem":"POWER_CTRL"
+}
+}

app/main.py

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+from fastapi import FastAPI
+from pydantic import BaseModel
+
+from app.predictor import predict_cluster
+
+app = FastAPI()
+
+class LogInput(BaseModel):
+    log_text: str
+
+
+@app.get("/")
+def root():
+    return {"status": "RTL Log API running"}
+
+
+@app.post("/analyze_log")
+def analyze_log(data: LogInput):
+
+    result = predict_cluster(data.log_text)
+
+    return {
+        "input_log": data.log_text,
+        "analysis": result
+    }

app/model_loader.py

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+import json
+import numpy as np
+from sentence_transformers import SentenceTransformer
+
+print("Loading embedding model from HuggingFace...")
+embedding_model = SentenceTransformer("all-MiniLM-L6-v2")
+
+print("Loading cluster data...")
+
+with open("models/cluster_data.json") as f:
+    data = json.load(f)
+
+core_samples = np.array(data["core_samples"])
+labels = np.array(data["labels"])
+eps = data["eps"]
+
+print("Models loaded successfully.")

app/predictor.py

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+import numpy as np
+from sklearn.metrics.pairwise import cosine_distances
+
+from app.model_loader import embedding_model, core_samples, labels, eps
+from app.cluster_metadata import cluster_info
+
+
+def predict_cluster(log_text):
+
+    emb = embedding_model.encode([log_text])
+
+    distances = cosine_distances(emb, core_samples)
+
+    nearest = np.argmin(distances)
+
+    similarity = 1 - distances[0][nearest]
+
+    if distances[0][nearest] <= eps:
+
+        cluster_id = int(labels[nearest])
+
+        info = cluster_info.get(cluster_id, {})
+
+        return {
+            "cluster_id": cluster_id,
+            "cluster_name": info.get("name","Unknown Cluster"),
+            "subsystem": info.get("subsystem","unknown"),
+            "description": info.get("description","No description"),
+            "similarity_score": float(similarity),
+            "anomaly": False
+        }
+
+    else:
+
+        return {
+            "cluster_id": -1,
+            "cluster_name": "Unknown Bug Pattern",
+            "subsystem": "unknown",
+            "description": "Log does not match known clusters",
+            "similarity_score": float(similarity),
+            "anomaly": True
+        }

models/cluster_data.json

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+size 62870705

models/cluster_model.pkl

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models/embedding_model.pkl

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requirements.txt

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+fastapi==0.110.0
+uvicorn==0.27.0
+numpy==1.26.4
+pandas==2.2.1
+scikit-learn==1.4.1.post1
+sentence-transformers==2.6.1
+torch==2.2.1