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Update app.py
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app.py
CHANGED
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@@ -1,15 +1,11 @@
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# app.py
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import os
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import threading
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import datetime
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import json
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from pathlib import Path
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import requests
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from reportlab.lib.pagesizes import letter
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from reportlab.pdfgen import canvas
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import gradio as gr
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from fastapi import FastAPI, UploadFile, File
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import uvicorn
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# -----------------------
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# CONFIG
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@@ -19,121 +15,8 @@ FILE_STORAGE.mkdir(exist_ok=True)
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REPORT_DIR = Path("reports")
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REPORT_DIR.mkdir(exist_ok=True)
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FILE_SERVER_PORT = 8001
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EXECUTOR_PORT = 8002
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MEMORY_PORT = 8003
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# -----------------------
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# MCP SERVERS
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# -----------------------
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file_app = FastAPI()
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executor_app = FastAPI()
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memory_app = FastAPI()
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# --- File Server ---
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@file_app.post("/upload")
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async def upload_file(file: UploadFile = File(...)):
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dest = FILE_STORAGE / file.filename
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content = await file.read()
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if isinstance(content, bytes):
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content = content.decode("utf-8", errors="ignore")
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with open(dest, "w", encoding="utf-8") as f:
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f.write(content)
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return {"status": "ok", "filename": file.filename}
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@file_app.get("/list")
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def list_files():
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return {"files": [p.name for p in FILE_STORAGE.iterdir() if p.is_file()]}
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@file_app.get("/read/{name}")
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def read_file(name: str):
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fpath = FILE_STORAGE / name
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if not fpath.exists():
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return {"error": "not found"}
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return {"filename": name, "content": fpath.read_text(encoding="utf-8")}
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# --- Executor Server ---
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EXECUTOR_DB = Path("executor_db")
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EXECUTOR_DB.mkdir(exist_ok=True)
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@executor_app.post("/apply")
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def apply_patch(req: dict):
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rec = {
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"filename": req.get("filename"),
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"action": req.get("action"),
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"params": req.get("params", {}),
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"timestamp": datetime.datetime.utcnow().isoformat()
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}
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fname = EXECUTOR_DB / f"{rec['filename']}.patchlog.json"
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existing = []
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if fname.exists():
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existing = json.loads(fname.read_text())
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existing.append(rec)
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fname.write_text(json.dumps(existing, indent=2))
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return {"status": "applied", "record": rec}
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# --- Memory Server ---
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MEMORY_DB = Path("memory_db")
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MEMORY_DB.mkdir(exist_ok=True)
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MEMORY_FILE = MEMORY_DB / "memory.json"
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if not MEMORY_FILE.exists():
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MEMORY_FILE.write_text(json.dumps({}))
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@memory_app.post("/set")
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def set_memory(item: dict):
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m = json.loads(MEMORY_FILE.read_text())
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key = item.get("key")
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value = item.get("value")
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m[key] = value
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MEMORY_FILE.write_text(json.dumps(m, indent=2))
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return {"status": "ok", "key": key}
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@memory_app.get("/get/{key}")
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def get_memory(key: str):
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m = json.loads(MEMORY_FILE.read_text())
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return {"value": m.get(key)}
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# -----------------------
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# HELPER FUNCTIONS
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# -----------------------
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def list_mcp_files():
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try:
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r = requests.get(f"http://localhost:{FILE_SERVER_PORT}/list", timeout=5)
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return r.json()
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except:
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return {"files": [f.name for f in FILE_STORAGE.iterdir() if f.is_file()]}
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def read_mcp_file(name):
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try:
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r = requests.get(f"http://localhost:{FILE_SERVER_PORT}/read/{name}", timeout=5)
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return r.json()
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except:
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return {"error": "file read failed"}
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def apply_patch_mcp(filename, action, params=None):
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payload = {"filename": filename, "action": action, "params": params or {}}
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try:
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r = requests.post(f"http://localhost:{EXECUTOR_PORT}/apply", json=payload, timeout=5)
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return r.json()
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except:
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return {"error": "executor not reachable"}
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def memory_set(key, value):
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try:
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r = requests.post(f"http://localhost:{MEMORY_PORT}/set", json={"key": key, "value": value}, timeout=5)
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return r.json()
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except:
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return {"error": "memory not reachable"}
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def memory_get(key):
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try:
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r = requests.get(f"http://localhost:{MEMORY_PORT}/get/{key}", timeout=5)
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return r.json()
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except:
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return {"error": "memory not reachable"}
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# -----------------------
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# LOG ANALYSIS
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# -----------------------
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def parse_log_text(txt):
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lines = txt.splitlines()
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warnings = [l for l in lines if "WARNING" in l or "WARN" in l]
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return {"errors": errors, "warnings": warnings, "total_lines": len(lines)}
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def
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if
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return {"summary":
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parsed = parse_log_text(text)
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summary = f"Detected {len(parsed['errors'])} errors and {len(parsed['warnings'])} warnings in {parsed['total_lines']} lines."
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issues = parsed[
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suggestions = [
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"Investigate top errors",
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"Check system configuration",
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"Add proper exception handling"
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]
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"STEP 1: Review errors",
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"STEP 2: Apply suggested fixes",
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"STEP 3: Re-run analysis"
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])
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return {"summary": summary, "issues": issues, "suggestions": suggestions, "
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def
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now = datetime.datetime.utcnow().
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out = REPORT_DIR / f"incident_{filename}_{now}.pdf"
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c = canvas.Canvas(str(out), pagesize=letter)
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c.setFont("Helvetica-Bold",
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c.drawString(40,
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c.setFont("Helvetica",
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c.drawString(40,
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y
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c.drawString(40,
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c.drawString(60,
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y
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c.drawString(40,
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for it in issues:
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y
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c.drawString(60,
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if y
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c.showPage()
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for s in suggestions:
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y
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c.drawString(60,
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if y
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c.showPage()
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c.save()
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return str(out)
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# -----------------------
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# GRADIO UI
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# -----------------------
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with gr.Blocks() as demo:
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gr.Markdown("## AgentOps MCP - Log Analysis
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with gr.Row():
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with gr.Column(scale=2):
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upload = gr.File(label="Upload log file", file_types=[".txt"])
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btn_upload = gr.Button("Upload File")
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btn_refresh = gr.Button("Refresh files")
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btn_analyze = gr.Button("Analyze selected file")
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apply_dropdown = gr.Dropdown(choices=["increase_timeout","increase_retries","mark_fixed"], label="Select fix action")
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btn_apply = gr.Button("Apply fix")
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with gr.Column(scale=3):
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summary_box = gr.Textbox(label="
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issues_box = gr.Textbox(label="Detected Issues", lines=10)
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suggestions_box = gr.Textbox(label="
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plan_box = gr.Textbox(label="Agent Plan
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report_download = gr.File(label="
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# Initialize dropdown
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files_list.choices = [f for f in FILE_STORAGE.iterdir() if f.is_file()]
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def refresh_files():
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return list_mcp_files().get("files", [])
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btn_refresh.click(fn=refresh_files, outputs=[files_list])
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content = file_obj.read()
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if isinstance(content, bytes):
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content = content.decode("utf-8", errors="ignore")
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tmp = FILE_STORAGE / file_obj.name
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with open(tmp, "w", encoding="utf-8") as f:
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f.write(content)
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return refresh_files()
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btn_upload.click(fn=on_upload, inputs=[upload], outputs=[files_list])
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def analyze_selected(fname):
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if not fname:
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return "", "", "", "", None
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out = analyze_and_plan(fname)
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report_path = generate_incident_report(fname, out["summary"], out["issues"], out["suggestions"])
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return (out["summary"], "\n".join(out["issues"]), "\n".join(out["suggestions"]),
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out["plan_text"], gr.File.update(value=report_path))
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btn_analyze.click(fn=analyze_selected, inputs=[files_list],
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outputs=[summary_box, issues_box, suggestions_box, plan_box, report_download])
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def apply_action(fname, action_key):
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if not fname:
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return ""
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res = apply_patch_mcp(fname, action_key)
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return json.dumps(res, indent=2)
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btn_apply.click(fn=apply_action, inputs=[files_list, apply_dropdown], outputs=[plan_box])
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# -----------------------
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# START MCP SERVERS
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# -----------------------
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def start_file_server(): uvicorn.run(file_app, host="0.0.0.0", port=FILE_SERVER_PORT, log_level="error")
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def start_executor_server(): uvicorn.run(executor_app, host="0.0.0.0", port=EXECUTOR_PORT, log_level="error")
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def start_memory_server(): uvicorn.run(memory_app, host="0.0.0.0", port=MEMORY_PORT, log_level="error")
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threading.Thread(target=start_file_server, daemon=True).start()
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threading.Thread(target=start_executor_server, daemon=True).start()
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threading.Thread(target=start_memory_server, daemon=True).start()
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if __name__ == "__main__":
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demo.launch(server_name="0.0.0.0", server_port=7860)
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# app.py
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import os
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import datetime
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import json
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from pathlib import Path
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from reportlab.lib.pagesizes import letter
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from reportlab.pdfgen import canvas
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import gradio as gr
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# -----------------------
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# CONFIG
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REPORT_DIR = Path("reports")
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REPORT_DIR.mkdir(exist_ok=True)
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# -----------------------
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# LOG ANALYSIS FUNCTIONS
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# -----------------------
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def parse_log_text(txt):
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lines = txt.splitlines()
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warnings = [l for l in lines if "WARNING" in l or "WARN" in l]
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return {"errors": errors, "warnings": warnings, "total_lines": len(lines)}
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def analyze_log(filename):
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filepath = FILE_STORAGE / filename
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if not filepath.exists():
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return {"summary":"File not found","issues":[],"suggestions":[],"plan":""}
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text = filepath.read_text(encoding="utf-8", errors="ignore")
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parsed = parse_log_text(text)
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summary = f"Detected {len(parsed['errors'])} errors and {len(parsed['warnings'])} warnings in {parsed['total_lines']} lines."
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issues = parsed['errors'][:10] + parsed['warnings'][:10]
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suggestions = [
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"Investigate top errors",
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"Check system configuration",
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"Add proper exception handling"
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]
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plan = "\n".join([
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"STEP 1: Review errors",
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"STEP 2: Apply suggested fixes",
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"STEP 3: Re-run analysis"
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])
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return {"summary": summary, "issues": issues, "suggestions": suggestions, "plan": plan}
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def generate_report(filename, summary, issues, suggestions):
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now = datetime.datetime.utcnow().strftime("%Y%m%d-%H%M%S")
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out = REPORT_DIR / f"incident_{filename}_{now}.pdf"
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c = canvas.Canvas(str(out), pagesize=letter)
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c.setFont("Helvetica-Bold",16)
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c.drawString(40,750,f"Incident Report - {filename}")
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c.setFont("Helvetica",10)
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c.drawString(40,730,f"Generated: {datetime.datetime.utcnow().isoformat()}")
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y=700
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c.drawString(40,y,"Summary:")
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c.drawString(60,y-20,summary[:1000])
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y-=60
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c.drawString(40,y,"Issues:")
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for it in issues:
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y-=14
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c.drawString(60,y,it[:120])
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if y<80:
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c.showPage()
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y=740
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y-=20
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c.drawString(40,y,"Suggestions:")
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for s in suggestions:
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y-=14
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c.drawString(60,y,f"- {s[:100]}")
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if y<80:
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| 74 |
+
c.showPage()
|
| 75 |
+
y=740
|
| 76 |
c.save()
|
| 77 |
return str(out)
|
| 78 |
|
| 79 |
# -----------------------
|
| 80 |
# GRADIO UI
|
| 81 |
# -----------------------
|
| 82 |
+
def refresh_files():
|
| 83 |
+
return [f.name for f in FILE_STORAGE.iterdir() if f.is_file()]
|
| 84 |
+
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| 85 |
+
def upload_file(file_obj):
|
| 86 |
+
if file_obj is None:
|
| 87 |
+
return refresh_files()
|
| 88 |
+
filepath = FILE_STORAGE / file_obj.name
|
| 89 |
+
content = file_obj.read()
|
| 90 |
+
if isinstance(content, bytes):
|
| 91 |
+
content = content.decode("utf-8", errors="ignore")
|
| 92 |
+
filepath.write_text(content, encoding="utf-8")
|
| 93 |
+
return refresh_files()
|
| 94 |
+
|
| 95 |
+
def analyze_selected(filename):
|
| 96 |
+
if not filename:
|
| 97 |
+
return "", "", "", "", None
|
| 98 |
+
out = analyze_log(filename)
|
| 99 |
+
report_path = generate_report(filename, out["summary"], out["issues"], out["suggestions"])
|
| 100 |
+
return (out["summary"], "\n".join(out["issues"]), "\n".join(out["suggestions"]), out["plan"], gr.File.update(value=report_path))
|
| 101 |
+
|
| 102 |
with gr.Blocks() as demo:
|
| 103 |
+
gr.Markdown("## AgentOps MCP - Log Analysis")
|
| 104 |
with gr.Row():
|
| 105 |
with gr.Column(scale=2):
|
| 106 |
upload = gr.File(label="Upload log file", file_types=[".txt"])
|
| 107 |
btn_upload = gr.Button("Upload File")
|
| 108 |
+
files_dropdown = gr.Dropdown(choices=refresh_files(), label="Files available")
|
| 109 |
btn_refresh = gr.Button("Refresh files")
|
| 110 |
btn_analyze = gr.Button("Analyze selected file")
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|
| 111 |
with gr.Column(scale=3):
|
| 112 |
+
summary_box = gr.Textbox(label="Summary", lines=3)
|
| 113 |
issues_box = gr.Textbox(label="Detected Issues", lines=10)
|
| 114 |
+
suggestions_box = gr.Textbox(label="Suggestions", lines=6)
|
| 115 |
+
plan_box = gr.Textbox(label="Agent Plan", lines=6)
|
| 116 |
+
report_download = gr.File(label="Download PDF Report")
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|
| 117 |
|
| 118 |
+
btn_refresh.click(fn=refresh_files, outputs=files_dropdown)
|
| 119 |
+
btn_upload.click(fn=upload_file, inputs=upload, outputs=files_dropdown)
|
| 120 |
+
btn_analyze.click(fn=analyze_selected, inputs=files_dropdown,
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|
| 121 |
outputs=[summary_box, issues_box, suggestions_box, plan_box, report_download])
|
| 122 |
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|
| 123 |
if __name__ == "__main__":
|
| 124 |
demo.launch(server_name="0.0.0.0", server_port=7860)
|