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⚡ Bolt: Optimize detection endpoints with image preprocessing #411

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⚡ Bolt: Optimize detection endpoints with image preprocessing #411

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e141ba6
feat(backend): optimize detection endpoints with image preprocessing
RohanExploit Feb 17, 2026
d62b7ce
fix(backend): catch OSError during python-magic import
RohanExploit Feb 17, 2026
1e5cc6a
fix(backend): prevent startup crash on Gemini AI configuration
RohanExploit Feb 17, 2026
ebbc003
fix(backend): robust handling of Gemini AI failures
RohanExploit Feb 17, 2026
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14 changes: 13 additions & 1 deletion backend/ai_service.py
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Original file line number Diff line number Diff line change
Expand Up @@ -26,7 +26,12 @@
if os.environ.get("ENVIRONMENT") == "production":
logger.warning("GEMINI_API_KEY not set in production environment!")

genai.configure(api_key=api_key)
try:
genai.configure(api_key=api_key)
_GEMINI_CONFIGURED = True
except Exception as e:
logger.error(f"Failed to configure Gemini AI: {e}")
_GEMINI_CONFIGURED = False

RESPONSIBILITY_MAP_PATH = os.path.join(os.path.dirname(os.path.dirname(__file__)), "data", "responsibility_map.json")

Expand Down Expand Up @@ -125,6 +130,10 @@ async def generate_action_plan(issue_description: str, category: str, language:

async def _generate_with_gemini() -> dict:
"""Inner function to generate action plan with Gemini"""
if not _GEMINI_CONFIGURED:
logger.warning("Gemini AI not configured, returning fallback action plan")
return fallback_response

model = genai.GenerativeModel('gemini-1.5-flash')

prompt = f"""
Expand Down Expand Up @@ -184,6 +193,9 @@ async def chat_with_civic_assistant(query: str) -> str:
"""
async def _chat_with_gemini() -> str:
"""Inner function to chat with Gemini"""
if not _GEMINI_CONFIGURED:
return "I am currently running in offline mode and cannot process complex queries. Please check back later."

model = genai.GenerativeModel('gemini-1.5-flash')

prompt = f"""
Expand Down
10 changes: 9 additions & 1 deletion backend/gemini_summary.py
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Original file line number Diff line number Diff line change
Expand Up @@ -19,9 +19,14 @@

# Configure Gemini (mandatory environment variable)
api_key = os.environ.get("GEMINI_API_KEY")
_GEMINI_CONFIGURED = False

if api_key:
genai.configure(api_key=api_key)
try:
genai.configure(api_key=api_key)
_GEMINI_CONFIGURED = True
except Exception as e:
logger.error(f"Failed to configure Gemini AI: {e}")
else:
# Gemini disabled (mock/local mode)
genai = None
Expand Down Expand Up @@ -66,6 +71,9 @@ async def generate_mla_summary(
"""
async def _generate_mla_summary_with_gemini() -> str:
"""Inner function to generate MLA summary with Gemini"""
if not _GEMINI_CONFIGURED or not genai:
return _get_fallback_summary(mla_name, assembly_constituency, district)

model = genai.GenerativeModel('gemini-1.5-flash')

issue_context = f" particularly regarding {issue_category} issues" if issue_category else ""
Expand Down