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Fix: Agrega logs para las operaciones en la base de datos #4

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A8065384 merged 8 commits from fix/logs into main 2026-02-24 22:37:15 +00:00
Conversation 1 Commits 8 Files Changed 4 +55 -48
1 changed files with 55 additions and 48 deletions
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103
main.py
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@@ -448,8 +448,11 @@ async def lifespan(_server: FastMCP) -> AsyncIterator[AppContext]:
)
# Validate credentials and configuration by testing actual resources
# These validations are non-blocking - errors are logged but won't stop startup
log_structured_entry("Starting validation of credentials and resources", "INFO")
validation_errors = []
# 1. Validate GenAI embedding access
log_structured_entry("Validating GenAI embedding access", "INFO")
try:
@@ -468,15 +471,15 @@ async def lifespan(_server: FastMCP) -> AsyncIterator[AppContext]:
)
else:
msg = "Embedding validation returned empty response"
log_structured_entry(msg, "ERROR")
raise RuntimeError(msg)
log_structured_entry(msg, "WARNING")
validation_errors.append(msg)
except Exception as e:
log_structured_entry(
"Failed to validate GenAI embedding access",
"ERROR",
"Failed to validate GenAI embedding access - service may not work correctly",
"WARNING",
{"error": str(e), "error_type": type(e).__name__}
)
raise
validation_errors.append(f"GenAI: {str(e)}")
# 2. Validate GCS bucket access
log_structured_entry(
@@ -500,43 +503,41 @@ async def lifespan(_server: FastMCP) -> AsyncIterator[AppContext]:
if response.status == 403:
msg = f"Access denied to bucket '{cfg.bucket}'. Check permissions."
log_structured_entry(
"GCS bucket validation failed - access denied",
"ERROR",
"GCS bucket validation failed - access denied - service may not work correctly",
"WARNING",
{"bucket": cfg.bucket, "status": response.status}
)
raise RuntimeError(msg)
validation_errors.append(msg)
elif response.status == 404:
msg = f"Bucket '{cfg.bucket}' not found. Check bucket name and project."
log_structured_entry(
"GCS bucket validation failed - not found",
"ERROR",
"GCS bucket validation failed - not found - service may not work correctly",
"WARNING",
{"bucket": cfg.bucket, "status": response.status}
)
raise RuntimeError(msg)
validation_errors.append(msg)
elif not response.ok:
body = await response.text()
msg = f"Failed to access bucket '{cfg.bucket}': {response.status} - {body}"
msg = f"Failed to access bucket '{cfg.bucket}': {response.status}"
log_structured_entry(
"GCS bucket validation failed",
"ERROR",
"GCS bucket validation failed - service may not work correctly",
"WARNING",
{"bucket": cfg.bucket, "status": response.status, "response": body}
)
raise RuntimeError(msg)
log_structured_entry(
"GCS bucket validation successful",
"INFO",
{"bucket": cfg.bucket}
)
except RuntimeError:
raise
validation_errors.append(msg)
else:
log_structured_entry(
"GCS bucket validation successful",
"INFO",
{"bucket": cfg.bucket}
)
except Exception as e:
log_structured_entry(
"Failed to validate GCS bucket access",
"ERROR",
"Failed to validate GCS bucket access - service may not work correctly",
"WARNING",
{"error": str(e), "error_type": type(e).__name__, "bucket": cfg.bucket}
)
raise
validation_errors.append(f"GCS: {str(e)}")
# 3. Validate vector search endpoint access
log_structured_entry(
@@ -556,45 +557,51 @@ async def lifespan(_server: FastMCP) -> AsyncIterator[AppContext]:
if response.status == 403:
msg = f"Access denied to endpoint '{cfg.endpoint_name}'. Check permissions."
log_structured_entry(
"Vector search endpoint validation failed - access denied",
"ERROR",
"Vector search endpoint validation failed - access denied - service may not work correctly",
"WARNING",
{"endpoint": cfg.endpoint_name, "status": response.status}
)
raise RuntimeError(msg)
validation_errors.append(msg)
elif response.status == 404:
msg = f"Endpoint '{cfg.endpoint_name}' not found. Check endpoint name and project."
log_structured_entry(
"Vector search endpoint validation failed - not found",
"ERROR",
"Vector search endpoint validation failed - not found - service may not work correctly",
"WARNING",
{"endpoint": cfg.endpoint_name, "status": response.status}
)
raise RuntimeError(msg)
validation_errors.append(msg)
elif not response.ok:
body = await response.text()
msg = f"Failed to access endpoint '{cfg.endpoint_name}': {response.status} - {body}"
msg = f"Failed to access endpoint '{cfg.endpoint_name}': {response.status}"
log_structured_entry(
"Vector search endpoint validation failed",
"ERROR",
"Vector search endpoint validation failed - service may not work correctly",
"WARNING",
{"endpoint": cfg.endpoint_name, "status": response.status, "response": body}
)
raise RuntimeError(msg)
log_structured_entry(
"Vector search endpoint validation successful",
"INFO",
{"endpoint": cfg.endpoint_name}
)
except RuntimeError:
raise
validation_errors.append(msg)
else:
log_structured_entry(
"Vector search endpoint validation successful",
"INFO",
{"endpoint": cfg.endpoint_name}
)
except Exception as e:
log_structured_entry(
"Failed to validate vector search endpoint access",
"ERROR",
"Failed to validate vector search endpoint access - service may not work correctly",
"WARNING",
{"error": str(e), "error_type": type(e).__name__, "endpoint": cfg.endpoint_name}
)
raise
validation_errors.append(f"Vector Search: {str(e)}")
log_structured_entry("All validations passed - MCP server initialization complete", "INFO")
# Summary of validations
if validation_errors:
log_structured_entry(
"MCP server started with validation errors - service may not work correctly",
"WARNING",
{"validation_errors": validation_errors, "error_count": len(validation_errors)}
)
else:
log_structured_entry("All validations passed - MCP server initialization complete", "INFO")
yield AppContext(
vector_search=vs,