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SEO Dashboard Fixes and content planning refactoring

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This commit is contained in:
ajaysi
2025-10-29 17:10:48 +05:30
parent 5866f49325
commit 4431cd9848
92 changed files with 7046 additions and 1940 deletions
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59
backend/services/llm_providers/gemini_grounded_provider.py
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@@ -131,30 +131,49 @@ class GeminiGroundedProvider:
)
self._cache[cache_key] = response
except asyncio.TimeoutError:
raise Exception(f"Gemini API request timed out after {self.timeout} seconds")
from services.blog_writer.exceptions import APITimeoutException
raise APITimeoutException(
f"Gemini API request timed out after {self.timeout} seconds",
timeout_seconds=self.timeout,
context={"content_type": content_type, "model_id": model_id}
)
except Exception as api_error:
# Handle specific Google API errors with retry logic
# Handle specific Google API errors with enhanced retry logic
error_str = str(api_error)
if "503" in error_str and "overloaded" in error_str:
# Conservative retry for overloaded service (expensive API calls)
response = await self._retry_with_backoff(
lambda: self._make_api_request_with_model(grounded_prompt, config, model_id, urls),
max_retries=1, # Only 1 retry to avoid excessive costs
base_delay=5 # Longer delay
# Non-retryable errors
if "401" in error_str or "403" in error_str:
from services.blog_writer.exceptions import ValidationException
raise ValidationException(
"Authentication failed. Please check your API credentials.",
field="api_key",
context={"error": error_str, "content_type": content_type}
)
elif "429" in error_str:
# Conservative retry for rate limits
response = await self._retry_with_backoff(
lambda: self._make_api_request_with_model(grounded_prompt, config, model_id, urls),
max_retries=1, # Only 1 retry
base_delay=10 # Much longer delay for rate limits
)
elif "401" in error_str or "403" in error_str:
raise Exception("Authentication failed. Please check your API credentials.")
elif "400" in error_str:
raise Exception("Invalid request. Please check your input parameters.")
else:
raise Exception(f"Google AI service error: {error_str}")
from services.blog_writer.exceptions import ValidationException
raise ValidationException(
"Invalid request. Please check your input parameters.",
field="request",
context={"error": error_str, "content_type": content_type}
)
# Retryable errors - use enhanced retry logic
from services.blog_writer.retry_utils import retry_with_backoff, RESEARCH_RETRY_CONFIG
try:
response = await retry_with_backoff(
lambda: self._make_api_request_with_model(grounded_prompt, config, model_id, urls),
config=RESEARCH_RETRY_CONFIG,
operation_name=f"gemini_grounded_{content_type}",
context={"content_type": content_type, "model_id": model_id}
)
except Exception as retry_error:
# If retry also failed, raise the original error with context
from services.blog_writer.exceptions import ResearchFailedException
raise ResearchFailedException(
f"Google AI service error after retries: {error_str}",
context={"original_error": error_str, "retry_error": str(retry_error), "content_type": content_type}
)
# Process the grounded response
result = self._process_grounded_response(response, content_type)