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from llama_cpp import Llama
from pygrok import Grok
from typing import Optional, Dict, Union
from huggingface_hub import hf_hub_download
import gradio as gr
import time
pattern_counter = 0
def parse_log_with_grok(log_line: str, grok_pattern: str) -> Optional[Dict[str, Union[str, int, float]]]:
try:
grok = Grok(grok_pattern)
match = grok.match(log_line)
return match if match else None
except Exception as e:
raise ValueError(f"Grok pattern işlenirken hata oluştu: {str(e)}")
model_path = hf_hub_download(
repo_id="omeryentur/gemma-2-2b-it-grok-2-gguf",
filename="gemma2-2b-it-grokpattern.Q4_K_M.gguf",
use_auth_token=True
)
llm = Llama(
model_path=model_path,
n_ctx=512,
n_threads=1,
)
def generate_pattern(text: str, progress=gr.Progress()):
global pattern_counter
if not text:
return {"error": "Lütfen bir metin girin!"}, None, None
try:
prompt = f"""<start_of_turn>log{text}<end_of_turn><start_of_turn>model"""
for i in range(3):
progress(i/3, desc=f"Pattern {i+1}/3 oluşturuluyor...")
completion = llm(
prompt,
max_tokens=512,
temperature=i/10,
stop=["<end_of_turn>"]
)
generated_pattern = completion['choices'][0]['text'].strip()
result = parse_log_with_grok(text, generated_pattern)
if result:
pattern_counter += 1
pattern = {
"log": text,
"pattern": generated_pattern,
}
return pattern, result, f"Oluşturulan Pattern Sayısı: {pattern_counter}"
time.sleep(0.5)
return {"error": "Uygun pattern oluşturulamadı"}, None, f"Oluşturulan Pattern Sayısı: {pattern_counter}"
except Exception as e:
return {"error": f"Bir hata oluştu: {str(e)}"}, None, f"Oluşturulan Pattern Sayısı: {pattern_counter}"
# Create Gradio interface
with gr.Blocks() as demo:
gr.Markdown("# Log Grok Pattern")
with gr.Row():
with gr.Column():
text_input = gr.Textbox(label="Log girin:")
generate_btn = gr.Button("Oluştur")
pattern_count = gr.Markdown(f"### Oluşturulan Pattern Sayısı: {pattern_counter}")
with gr.Row():
with gr.Column():
pattern_output = gr.JSON(label="Log and Pattern")
result_output = gr.JSON(label="Result")
generate_btn.click(
fn=generate_pattern,
inputs=[text_input],
outputs=[pattern_output, result_output, pattern_count]
)
if __name__ == "__main__":
demo.launch() |