Files
gemini-cli/scripts/backlog-analysis/utils/debug_bug.py
T

94 lines
3.6 KiB
Python

"""
Purpose: A utility to execute the agentic analysis loop on a single, specific issue by its ID.
Extremely useful for observing the tool-calling behavior, debugging prompts, or fixing edge cases without running the entire batch.
"""
import json
import urllib.request
import urllib.error
import os
import subprocess
API_KEY = "REDACTED_API_KEY"
MODEL = "gemini-3-flash-preview"
URL = f"https://generativelanguage.googleapis.com/v1beta/models/{MODEL}:generateContent?key={API_KEY}"
def call_gemini(messages):
tools = [{
"functionDeclarations": [
{
"name": "search_codebase",
"description": "Search the gemini-cli packages directory for a string using grep.",
"parameters": {
"type": "OBJECT",
"properties": {"pattern": {"type": "STRING"}},
"required": ["pattern"]
}
},
{
"name": "read_file",
"description": "Read a specific file.",
"parameters": {
"type": "OBJECT",
"properties": {"filepath": {"type": "STRING"}},
"required": ["filepath"]
}
}
]
}]
data = {
"contents": messages,
"tools": tools,
"generationConfig": {"temperature": 0.1}
}
req = urllib.request.Request(URL, data=json.dumps(data).encode('utf-8'), headers={'Content-Type': 'application/json'})
with urllib.request.urlopen(req) as response:
return json.loads(response.read().decode('utf-8'))
def execute_tool(call):
name = call['name']
args = call.get('args', {})
print(f" > Executing: {name}({args})")
if name == 'search_codebase':
p = args.get('pattern', '').replace('"', '\\"')
cmd = f'grep -rn "{p}" ../../packages | grep -vE "node_modules|dist|build" | head -n 10'
try:
return subprocess.check_output(cmd, shell=True, text=True, stderr=subprocess.STDOUT) or "No results."
except: return "Error or no results."
elif name == 'read_file':
f = args.get('filepath', '')
if not f.startswith('/'): f = os.path.join('../../../packages', f)
if not os.path.exists(f): return "File not found."
try:
return subprocess.check_output(f'head -n 200 "{f}"', shell=True, text=True)
except: return "Error reading file."
return "Unknown tool"
def debug_one(issue_num):
with open('../data/bugs.json', 'r') as f:
bugs = json.load(f)
issue = next(b for b in bugs if b['number'] == issue_num)
prompt = f"Analyze this bug for gemini-cli codebase. pinpoint files/logic. rate effort (small/medium/large) with reasoning.\n\nTitle: {issue['title']}\nBody: {issue['body'][:1000]}\n\nOutput ONLY a JSON object with: analysis, effort_level, reasoning, recommended_implementation."
messages = [{"role": "user", "parts": [{"text": prompt}]}]
for i in range(10):
print(f"--- Turn {i} ---")
res = call_gemini(messages)
candidate = res['candidates'][0]['content']
parts = candidate.get('parts', [])
messages.append(candidate)
fcalls = [p['functionCall'] for p in parts if 'functionCall' in p]
if fcalls:
responses = []
for fc in fcalls:
out = execute_tool(fc)
responses.append({"functionResponse": {"name": fc['name'], "response": {"result": out}}})
messages.append({"role": "user", "parts": responses})
else:
txt = parts[0].get('text', '')
print("Final Response:", txt)
return
debug_one(23541)