Implement ultra-reliable database access with comprehensive error handling

This commit is contained in:
Automated Action 2025-05-16 06:46:45 +00:00
parent 669d16ace5
commit 0645953951
5 changed files with 512 additions and 312 deletions

View File

@ -94,136 +94,204 @@ def create_task(
task_in: TaskCreate,
) -> Any:
"""
Create new task.
Create new task - using direct SQLite approach for reliability.
"""
import sqlite3
import json
import time
import sys
import traceback
from datetime import datetime
from app.db.session import db_file
# Print detailed request info for debugging
print(f"[{datetime.now().isoformat()}] Creating task: {task_in}")
# Log creation attempt
print(f"[{datetime.now().isoformat()}] Task creation requested", file=sys.stdout)
# Use direct SQLite for maximum reliability
try:
# Handle datetime conversion for due_date
if task_in.due_date:
print(f"Due date before processing: {task_in.due_date}")
if isinstance(task_in.due_date, str):
try:
task_in.due_date = datetime.fromisoformat(task_in.due_date.replace('Z', '+00:00'))
except Exception as e:
print(f"Error parsing due_date: {e}")
# Continue with string, SQLAlchemy will handle it
# First try the normal SQLAlchemy approach
# Extract task data regardless of Pydantic version
try:
print("Attempting to create task via SQLAlchemy...")
task = crud.task.create(db, obj_in=task_in)
print(f"Task created successfully with ID: {task.id}")
return task
except Exception as e:
print(f"SQLAlchemy task creation failed: {e}")
print(traceback.format_exc())
# Continue to try direct SQLite approach
# Fallback: Try direct SQLite approach
print("Falling back to direct SQLite task creation...")
try:
# Convert Pydantic model to dict
task_data = task_in.model_dump() if hasattr(task_in, 'model_dump') else task_in.dict()
if hasattr(task_in, 'model_dump'):
task_data = task_in.model_dump()
elif hasattr(task_in, 'dict'):
task_data = task_in.dict()
else:
# Fallback for any case
task_data = {
'title': getattr(task_in, 'title', 'Untitled Task'),
'description': getattr(task_in, 'description', ''),
'priority': getattr(task_in, 'priority', 'medium'),
'status': getattr(task_in, 'status', 'todo'),
'due_date': getattr(task_in, 'due_date', None),
'completed': getattr(task_in, 'completed', False)
}
print(f"Task data: {task_data}")
# Format datetime objects
if task_data.get('due_date'):
except Exception as e:
print(f"Error extracting task data: {e}")
# Fallback to minimal data
task_data = {
'title': str(getattr(task_in, 'title', 'Unknown Title')),
'description': str(getattr(task_in, 'description', '')),
'priority': 'medium',
'status': 'todo',
'completed': False
}
# Format due_date if present
if task_data.get('due_date'):
try:
if isinstance(task_data['due_date'], datetime):
task_data['due_date'] = task_data['due_date'].isoformat()
# Connect directly to SQLite and insert the task
conn = sqlite3.connect(str(db_file))
cursor = conn.cursor()
now = datetime.utcnow().isoformat()
# Check if task table exists
cursor.execute("SELECT name FROM sqlite_master WHERE type='table' AND name='task'")
if not cursor.fetchone():
# Create the task table if it doesn't exist
elif isinstance(task_data['due_date'], str):
# Standardize format by parsing and reformatting
parsed_date = datetime.fromisoformat(
task_data['due_date'].replace('Z', '+00:00')
)
task_data['due_date'] = parsed_date.isoformat()
except Exception as e:
print(f"Warning: Could not parse due_date: {e}")
# Keep as-is or set to None if invalid
if not isinstance(task_data['due_date'], str):
task_data['due_date'] = None
# Get current timestamp for created/updated fields
now = datetime.utcnow().isoformat()
# Connect to SQLite with retry logic
for retry in range(3):
conn = None
try:
# Try to connect to the database with a timeout
conn = sqlite3.connect(str(db_file), timeout=30)
cursor = conn.cursor()
# Create the task table if it doesn't exist - using minimal schema
cursor.execute("""
CREATE TABLE IF NOT EXISTS task (
id INTEGER PRIMARY KEY AUTOINCREMENT,
title TEXT NOT NULL,
description TEXT,
priority TEXT,
status TEXT,
priority TEXT DEFAULT 'medium',
status TEXT DEFAULT 'todo',
due_date TEXT,
completed INTEGER,
created_at TEXT,
updated_at TEXT
completed INTEGER DEFAULT 0,
created_at TEXT DEFAULT CURRENT_TIMESTAMP,
updated_at TEXT DEFAULT CURRENT_TIMESTAMP
)
""")
print("Created task table with direct SQLite")
# Insert the task
cursor.execute(
"""
INSERT INTO task (
title, description, priority, status,
due_date, completed, created_at, updated_at
) VALUES (?, ?, ?, ?, ?, ?, ?, ?)
""",
(
task_data.get('title', 'Untitled Task'),
task_data.get('description', ''),
task_data.get('priority', 'medium'),
task_data.get('status', 'todo'),
task_data.get('due_date'),
1 if task_data.get('completed') else 0,
now,
now
# Insert the task - provide defaults for all fields
cursor.execute(
"""
INSERT INTO task (
title, description, priority, status,
due_date, completed, created_at, updated_at
) VALUES (?, ?, ?, ?, ?, ?, ?, ?)
""",
(
task_data.get('title', 'Untitled'),
task_data.get('description', ''),
task_data.get('priority', 'medium'),
task_data.get('status', 'todo'),
task_data.get('due_date'),
1 if task_data.get('completed') else 0,
now,
now
)
)
)
conn.commit()
task_id = cursor.lastrowid
# Return the created task
cursor.execute("SELECT * FROM task WHERE id = ?", (task_id,))
row = cursor.fetchone()
conn.close()
if row:
column_names = ['id', 'title', 'description', 'priority', 'status',
'due_date', 'completed', 'created_at', 'updated_at']
task_dict = {column_names[i]: row[i] for i in range(len(column_names))}
# Convert completed to boolean
task_dict['completed'] = bool(task_dict['completed'])
# Fake Task object with attributes
class TaskResult:
def __init__(self, **kwargs):
for key, value in kwargs.items():
setattr(self, key, value)
# Get the ID of the inserted task
task_id = cursor.lastrowid
print(f"Task inserted with ID: {task_id}")
print(f"Created task with direct SQLite, ID: {task_id}")
return TaskResult(**task_dict)
else:
raise Exception("Task was created but could not be retrieved")
# Commit the transaction
conn.commit()
# Retrieve the created task to return it
cursor.execute("SELECT * FROM task WHERE id = ?", (task_id,))
row = cursor.fetchone()
if row:
# Get column names from cursor description
column_names = [desc[0] for desc in cursor.description]
# Create a dictionary from row values
task_dict = dict(zip(column_names, row))
# Convert 'completed' to boolean
if 'completed' in task_dict:
task_dict['completed'] = bool(task_dict['completed'])
# Create an object that mimics the Task model
class TaskResult:
def __init__(self, **kwargs):
for key, value in kwargs.items():
setattr(self, key, value)
print(f"Task created successfully: ID={task_id}")
# Close the connection and return the task
conn.close()
return TaskResult(**task_dict)
else:
conn.close()
raise Exception(f"Task creation succeeded but retrieval failed for ID: {task_id}")
except sqlite3.OperationalError as e:
if conn:
conn.close()
# Check if retry is appropriate
if "database is locked" in str(e) and retry < 2:
wait_time = (retry + 1) * 1.5 # Exponential backoff
print(f"Database locked, retrying in {wait_time}s (attempt {retry+1}/3)")
time.sleep(wait_time)
else:
print(f"SQLite operational error: {e}")
raise
except Exception as e:
if conn:
# Try to rollback if connection is still open
try:
conn.rollback()
except:
pass
conn.close()
print(f"Error in SQLite task creation: {e}")
print(traceback.format_exc())
# Only retry on specific transient errors
if retry < 2 and ("locked" in str(e).lower() or "busy" in str(e).lower()):
time.sleep(1)
continue
raise
# If we reach here, the retry loop failed
raise Exception("Failed to create task after multiple attempts")
except Exception as sqlite_error:
# Final fallback: try SQLAlchemy approach
try:
print(f"Direct SQLite approach failed: {sqlite_error}")
print("Trying SQLAlchemy as fallback...")
except Exception as e:
print(f"Direct SQLite task creation failed: {e}")
task = crud.task.create(db, obj_in=task_in)
print(f"Task created with SQLAlchemy fallback: ID={task.id}")
return task
except Exception as alch_error:
print(f"SQLAlchemy fallback also failed: {alch_error}")
print(traceback.format_exc())
# Provide detailed error information
error_detail = f"Task creation failed. Primary error: {str(sqlite_error)}. Fallback error: {str(alch_error)}"
print(f"Final error: {error_detail}")
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"All task creation methods failed. Last error: {str(e)}",
detail=error_detail
)
except HTTPException:
raise
except Exception as e:
print(f"Unhandled error in create_task: {str(e)}")
print(traceback.format_exc())
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Error creating task: {str(e)}",
)
@router.get("/{task_id}", response_model=Task)

View File

@ -5,33 +5,28 @@ from typing import Any, Dict, List, Optional, Union
from pydantic import AnyHttpUrl, field_validator
from pydantic_settings import BaseSettings
# Try multiple possible database locations in order of preference
DB_LOCATIONS = [
Path("/app/storage/db"),
Path("/tmp/taskmanager/db"),
Path.home() / ".taskmanager/db",
Path.cwd() / "db"
]
import os
# Try to find or create a writable database directory
DB_DIR = None
for location in DB_LOCATIONS:
try:
location.mkdir(parents=True, exist_ok=True)
# Check if directory is writable by creating a test file
test_file = location / "test_write"
test_file.touch()
test_file.unlink() # Remove test file
DB_DIR = location
print(f"Using database directory: {DB_DIR}")
break
except Exception as e:
print(f"Could not use {location} for database: {e}")
# Use a simple, universally accessible path for database
# First try environment variable, then local directory
DB_PATH = os.environ.get("DB_PATH")
if DB_PATH:
DB_DIR = Path(DB_PATH)
print(f"Using database path from environment: {DB_DIR}")
else:
# Use 'db' directory in the current working directory
DB_DIR = Path.cwd() / "db"
print(f"Using local database path: {DB_DIR}")
# If no location works, fall back to current directory
if DB_DIR is None:
DB_DIR = Path.cwd()
print(f"Falling back to current directory for database: {DB_DIR}")
# Create database directory
try:
DB_DIR.mkdir(parents=True, exist_ok=True)
print(f"Created or verified database directory: {DB_DIR}")
except Exception as e:
print(f"Error creating database directory: {e}")
# Fall back to /tmp if we can't create our preferred directory
DB_DIR = Path("/tmp")
print(f"Falling back to temporary directory: {DB_DIR}")
class Settings(BaseSettings):
PROJECT_NAME: str = "Task Manager API"

View File

@ -15,95 +15,126 @@ from app.core.config import settings
def init_db() -> None:
"""
Initialize database with required tables directly using both SQLAlchemy and
SQLite native commands for maximum reliability.
Initialize database using both direct SQLite and SQLAlchemy approaches
for maximum reliability.
"""
print(f"Initializing database at {db_file}")
db_dir = db_file.parent
print(f"Using SQLAlchemy URL: {settings.SQLALCHEMY_DATABASE_URL}")
# Ensure database directory exists
# First try direct SQLite approach to ensure we have a basic database file
try:
db_dir.mkdir(parents=True, exist_ok=True)
print(f"Database directory created or already exists: {db_dir}")
except Exception as e:
print(f"Error creating database directory: {e}")
# First, try to create an empty database file if it doesn't exist
if not db_file.exists():
try:
# Create an empty file
db_file.touch()
print(f"Created empty database file: {db_file}")
except Exception as e:
print(f"Failed to create database file: {e}")
# First, try direct SQLite connection to create basic structure
# This bypasses SQLAlchemy entirely for the initial database creation
try:
print(f"Attempting direct SQLite connection to {db_file}")
sqlite_conn = sqlite3.connect(str(db_file))
sqlite_conn.execute("PRAGMA journal_mode=WAL")
sqlite_conn.execute("CREATE TABLE IF NOT EXISTS _db_init_check (id INTEGER PRIMARY KEY)")
sqlite_conn.execute("INSERT OR IGNORE INTO _db_init_check VALUES (1)")
sqlite_conn.commit()
sqlite_conn.close()
print("Direct SQLite connection and initialization successful")
except Exception as e:
print(f"Direct SQLite initialization error: {e}")
# Now try with SQLAlchemy
try:
# Try to connect to check if the database is accessible
max_retries = 5
retry_count = 0
connected = False
# Ensure database file exists and is writable
with open(db_file, 'a'): # Try opening for append (creates if doesn't exist)
os.utime(db_file, None) # Update access/modify time
while retry_count < max_retries and not connected:
try:
with engine.connect() as conn:
result = conn.execute(text("SELECT 1")).scalar()
print(f"Database connection successful. Test query result: {result}")
connected = True
except Exception as e:
retry_count += 1
print(f"Database connection error (attempt {retry_count}/{max_retries}): {e}")
time.sleep(1) # Wait a second before retrying
print(f"Database file exists and is writable: {db_file}")
if not connected:
print(f"Failed to connect to database after {max_retries} attempts")
# Continue anyway to see if we can make progress
# Try direct SQLite connection to create task table
conn = sqlite3.connect(str(db_file))
# Try to create tables
try:
print("Creating database tables with SQLAlchemy...")
Base.metadata.create_all(bind=engine)
# Enable foreign keys and WAL journal mode
conn.execute("PRAGMA foreign_keys = ON")
conn.execute("PRAGMA journal_mode = WAL")
# Create task table if it doesn't exist
conn.execute("""
CREATE TABLE IF NOT EXISTS task (
id INTEGER PRIMARY KEY AUTOINCREMENT,
title TEXT NOT NULL,
description TEXT,
priority TEXT DEFAULT 'medium',
status TEXT DEFAULT 'todo',
due_date TEXT,
completed INTEGER DEFAULT 0,
created_at TEXT DEFAULT CURRENT_TIMESTAMP,
updated_at TEXT DEFAULT CURRENT_TIMESTAMP
)
""")
# Create an index on the id column
conn.execute("CREATE INDEX IF NOT EXISTS idx_task_id ON task(id)")
# Add a sample task if the table is empty
cursor = conn.cursor()
cursor.execute("SELECT COUNT(*) FROM task")
count = cursor.fetchone()[0]
if count == 0:
now = datetime.utcnow().isoformat()
conn.execute("""
INSERT INTO task (title, description, priority, status, completed, created_at, updated_at)
VALUES (?, ?, ?, ?, ?, ?, ?)
""", (
"Example Task",
"This is an example task created during initialization",
"medium",
"todo",
0,
now,
now
))
# Verify tables
inspector = inspect(engine)
tables = inspector.get_table_names()
conn.commit()
cursor.close()
conn.close()
print("Successfully initialized database with direct SQLite")
except Exception as e:
print(f"Error during direct SQLite initialization: {e}")
import traceback
print(traceback.format_exc())
# Now try with SQLAlchemy as a backup approach
try:
print("Attempting SQLAlchemy database initialization...")
# Try to create all tables from models
Base.metadata.create_all(bind=engine)
print("Successfully created tables with SQLAlchemy")
# Verify tables exist
with engine.connect() as conn:
# Get list of tables
result = conn.execute(text(
"SELECT name FROM sqlite_master WHERE type='table'"
))
tables = [row[0] for row in result]
print(f"Tables in database: {', '.join(tables)}")
if 'task' not in tables:
print("WARNING: 'task' table not created!")
else:
print("'task' table successfully created.")
# Verify task table exists
if 'task' in tables:
# Check if task table is empty
result = conn.execute(text("SELECT COUNT(*) FROM task"))
task_count = result.scalar()
print(f"Task table contains {task_count} records")
except Exception as e:
print(f"Error creating tables: {e}")
# Print database info for debugging
try:
print(f"Database file size: {os.path.getsize(db_file)} bytes")
print(f"Database file permissions: {oct(os.stat(db_file).st_mode)[-3:]}")
print(f"Database dir permissions: {oct(os.stat(db_dir).st_mode)[-3:]}")
except Exception as e:
print(f"Error getting file info: {e}")
print("Database initialization completed")
# If table exists but is empty, add a sample task
if task_count == 0:
print("Adding sample task with SQLAlchemy")
from app.models.task import Task, TaskPriority, TaskStatus
sample_task = Task(
title="Sample SQLAlchemy Task",
description="This is a sample task created with SQLAlchemy",
priority=TaskPriority.MEDIUM,
status=TaskStatus.TODO,
completed=False,
created_at=datetime.utcnow(),
updated_at=datetime.utcnow()
)
from app.db.session import SessionLocal
db = SessionLocal()
db.add(sample_task)
db.commit()
db.close()
print("Added sample task with SQLAlchemy")
else:
print("WARNING: 'task' table not found!")
print("SQLAlchemy database initialization completed")
except Exception as e:
print(f"Database initialization error: {str(e)}")
print("Continuing anyway...")
print(f"Error during SQLAlchemy initialization: {e}")
import traceback
print(traceback.format_exc())
print("Continuing despite SQLAlchemy initialization error...")
def create_test_task():

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@ -1,5 +1,6 @@
import os
import time
import sqlite3
from typing import Generator
from pathlib import Path
@ -9,71 +10,102 @@ from sqlalchemy.exc import OperationalError, SQLAlchemyError
from app.core.config import settings, DB_DIR
# Ensure the database directory exists
# Define database filepath - use DB_DIR from config
db_file = DB_DIR / "db.sqlite"
print(f"Database file path: {db_file}")
# Configure SQLite connection with more robust settings
# Try to touch the database file to ensure it exists
try:
if not db_file.exists():
# Try to create an empty database file
db_file.touch()
print(f"Database file created or verified: {db_file}")
except Exception as e:
print(f"Warning: Could not create database file: {e}")
# Configure SQLite connection with simplified, robust settings
engine = create_engine(
settings.SQLALCHEMY_DATABASE_URL,
connect_args={
"check_same_thread": False,
"timeout": 30, # Wait up to 30 seconds for the lock
},
pool_recycle=3600, # Recycle connections after 1 hour
# Minimal pool settings for stability
pool_pre_ping=True, # Verify connections before usage
pool_size=10, # Maximum 10 connections
max_overflow=20, # Allow up to 20 overflow connections
echo=True, # Log all SQL for debugging
)
# Add SQLite optimizations
# Add essential SQLite optimizations
@event.listens_for(engine, "connect")
def optimize_sqlite_connection(dbapi_connection, connection_record):
"""Configure SQLite connection for better performance and reliability."""
# Enable WAL journal mode for better concurrency
dbapi_connection.execute("PRAGMA journal_mode=WAL")
# Ensure foreign keys are enforced
dbapi_connection.execute("PRAGMA foreign_keys=ON")
# Synchronous setting for better performance with decent safety
dbapi_connection.execute("PRAGMA synchronous=NORMAL")
# Cache settings
dbapi_connection.execute("PRAGMA cache_size=-64000") # 64MB cache
# Temp storage in memory
dbapi_connection.execute("PRAGMA temp_store=MEMORY")
"""Configure SQLite connection for better reliability."""
try:
# These are essential for SQLite stability
dbapi_connection.execute("PRAGMA journal_mode=WAL")
dbapi_connection.execute("PRAGMA synchronous=NORMAL")
except Exception as e:
print(f"Warning: Could not configure SQLite connection: {e}")
# Simplified Session factory
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
# More robust database access with retry logic
# More robust database access with retry logic and error printing
def get_db() -> Generator:
"""
Get a database session with retry logic for transient errors.
Creates the database file and tables if they don't exist.
"""
db = None
retries = 3
retry_delay = 0.5 # Start with 0.5 second delay
for attempt in range(retries):
try:
db = SessionLocal()
# Log connection attempt
print(f"Database connection attempt {attempt+1}")
# Test connection with a simple query
db.execute("SELECT 1")
# Yield the working connection
# Connection succeeded
print("Database connection successful")
yield db
break
except (OperationalError, SQLAlchemyError) as e:
except Exception as e:
# Close failed connection
if db:
db.close()
db = None
# Only retry transient errors like "database is locked"
if attempt < retries - 1:
print(f"Database connection attempt {attempt+1} failed: {e}")
print(f"Retrying in {retry_delay} seconds...")
time.sleep(retry_delay)
retry_delay *= 2 # Exponential backoff
else:
print(f"All database connection attempts failed: {e}")
error_msg = f"Database connection attempt {attempt+1} failed: {e}"
print(error_msg)
# Log critical error details
import traceback
print(f"Error traceback: {traceback.format_exc()}")
# Check if we can directly access database
try:
# Try direct sqlite3 connection as a test
direct_conn = sqlite3.connect(str(db_file))
direct_conn.execute("SELECT 1")
direct_conn.close()
print("Direct SQLite connection succeeded but SQLAlchemy failed")
except Exception as direct_e:
print(f"Direct SQLite connection also failed: {direct_e}")
# Last attempt - raise the error to return 500 status
if attempt == retries - 1:
print("All database connection attempts failed")
raise
finally:
# Otherwise sleep and retry
time.sleep(1)
# Always ensure db is closed
try:
if db:
db.close()
print("Closing database connection")
db.close()
except Exception as e:
print(f"Error closing database: {e}")

228
main.py
View File

@ -53,16 +53,77 @@ app.add_middleware(
allow_headers=["*"],
)
# Add exception handlers for better error reporting
# Add comprehensive exception handlers for better error reporting
@app.exception_handler(Exception)
async def validation_exception_handler(request: Request, exc: Exception):
async def global_exception_handler(request: Request, exc: Exception):
import traceback
import sys
# Log the full error with traceback to stdout/stderr
error_tb = traceback.format_exc()
print(f"CRITICAL ERROR: {str(exc)}", file=sys.stderr)
print(f"Request path: {request.url.path}", file=sys.stderr)
print(f"Traceback:\n{error_tb}", file=sys.stderr)
# Get request info for debugging
headers = dict(request.headers)
# Remove sensitive headers
if 'authorization' in headers:
headers['authorization'] = '[REDACTED]'
if 'cookie' in headers:
headers['cookie'] = '[REDACTED]'
# Include minimal traceback in response for debugging
tb_lines = error_tb.split('\n')
simplified_tb = []
for line in tb_lines:
if line and not line.startswith(' '):
simplified_tb.append(line)
# Create detailed error response
error_detail = {
"detail": f"Internal Server Error: {str(exc)}",
"status": "error",
"message": str(exc),
"type": str(type(exc).__name__),
"traceback": traceback.format_exc().split("\n")
"path": request.url.path,
"method": request.method,
"traceback_summary": simplified_tb[-10:] if len(simplified_tb) > 10 else simplified_tb,
}
print(f"Error processing request: {error_detail}")
# Add SQLite diagnostic check
try:
import sqlite3
from app.db.session import db_file
# Try basic SQLite operations
conn = sqlite3.connect(str(db_file))
cursor = conn.cursor()
cursor.execute("PRAGMA integrity_check")
integrity = cursor.fetchone()[0]
# Check if task table exists
cursor.execute("SELECT name FROM sqlite_master WHERE type='table' AND name='task'")
task_table_exists = cursor.fetchone() is not None
# Get file info
import os
file_exists = os.path.exists(db_file)
file_size = os.path.getsize(db_file) if file_exists else 0
# Add SQLite diagnostics to response
error_detail["db_diagnostics"] = {
"file_exists": file_exists,
"file_size": file_size,
"integrity": integrity,
"task_table_exists": task_table_exists,
}
conn.close()
except Exception as db_error:
error_detail["db_diagnostics"] = {"error": str(db_error)}
# Return the error response
print(f"Returning error response: {error_detail}")
return JSONResponse(
status_code=500,
content=error_detail,
@ -103,103 +164,116 @@ def test_db_connection():
"""
Test database connection and table creation
"""
from sqlalchemy import text, inspect
from app.db.session import engine
import traceback, os, subprocess
from app.core.config import DB_DIR
try:
# Check directory structure and permissions
storage_info = {
"app_dir_exists": os.path.exists("/app"),
"app_dir_writable": os.access("/app", os.W_OK),
"storage_dir_exists": os.path.exists("/app/storage"),
"storage_dir_writable": os.access("/app/storage", os.W_OK) if os.path.exists("/app/storage") else False,
"db_dir_exists": os.path.exists(str(DB_DIR)),
"db_dir_writable": os.access(str(DB_DIR), os.W_OK) if os.path.exists(str(DB_DIR)) else False,
import os
import sqlite3
import traceback
from sqlalchemy import text
from app.db.session import engine, db_file
from app.core.config import DB_DIR
# First check direct file access
file_info = {
"db_dir": str(DB_DIR),
"db_file": str(db_file),
"exists": os.path.exists(db_file),
"size": os.path.getsize(db_file) if os.path.exists(db_file) else 0,
"writable": os.access(db_file, os.W_OK) if os.path.exists(db_file) else False,
"dir_writable": os.access(DB_DIR, os.W_OK) if os.path.exists(DB_DIR) else False
}
# Get disk usage information
disk_usage = {}
# Try direct SQLite connection
sqlite_test = {}
try:
df_output = subprocess.check_output(["df", "-h", "/app/storage"]).decode()
disk_usage["df_output"] = df_output.strip().split('\n')
conn = sqlite3.connect(str(db_file))
sqlite_test["connection"] = "successful"
# Check if task table exists
cursor = conn.cursor()
cursor.execute("SELECT name FROM sqlite_master WHERE type='table'")
tables = [row[0] for row in cursor.fetchall()]
sqlite_test["tables"] = tables
# Check for task table specifically
if 'task' in tables:
cursor.execute("SELECT COUNT(*) FROM task")
task_count = cursor.fetchone()[0]
sqlite_test["task_count"] = task_count
# Get a sample task if available
if task_count > 0:
cursor.execute("SELECT * FROM task LIMIT 1")
column_names = [description[0] for description in cursor.description]
row = cursor.fetchone()
sample_task = dict(zip(column_names, row))
sqlite_test["sample_task"] = sample_task
# Check database integrity
cursor.execute("PRAGMA integrity_check")
integrity = cursor.fetchone()[0]
sqlite_test["integrity"] = integrity
conn.close()
except Exception as e:
disk_usage["error"] = str(e)
sqlite_test["connection"] = "failed"
sqlite_test["error"] = str(e)
sqlite_test["traceback"] = traceback.format_exc()
# Try database connection
connection_info = {}
inspector = None
# Try SQLAlchemy connection
sqlalchemy_test = {}
try:
with engine.connect() as conn:
connection_info["connection"] = "successful"
connection_info["test_query"] = conn.execute(text("SELECT 1")).scalar()
inspector = inspect(engine)
except Exception as e:
connection_info["connection"] = "failed"
connection_info["error"] = str(e)
# Get table information if connection successful
table_info = {}
if inspector:
tables = inspector.get_table_names()
connection_info["tables"] = tables
for table in tables:
columns = inspector.get_columns(table)
table_info[table] = [col['name'] for col in columns]
# Basic connectivity test
result = conn.execute(text("SELECT 1")).scalar()
sqlalchemy_test["basic_query"] = result
# Try to query task table if it exists
if 'task' in tables:
with engine.connect() as conn:
try:
task_count = conn.execute(text("SELECT COUNT(*) FROM task")).scalar()
connection_info["task_count"] = task_count
except Exception as e:
connection_info["task_query_error"] = str(e)
# Check tables
result = conn.execute(text("SELECT name FROM sqlite_master WHERE type='table'"))
tables = [row[0] for row in result]
sqlalchemy_test["tables"] = tables
# Check task table
if 'task' in tables:
result = conn.execute(text("SELECT COUNT(*) FROM task"))
sqlalchemy_test["task_count"] = result.scalar()
except Exception as e:
sqlalchemy_test["connection"] = "failed"
sqlalchemy_test["error"] = str(e)
sqlalchemy_test["traceback"] = traceback.format_exc()
# Database file information
db_file = f"{DB_DIR}/db.sqlite"
db_file_info = {
"path": db_file,
"exists": os.path.exists(db_file),
"size_bytes": os.path.getsize(db_file) if os.path.exists(db_file) else 0,
"writable": os.access(db_file, os.W_OK) if os.path.exists(db_file) else False,
# Check environment
env_info = {
"cwd": os.getcwd(),
"env_variables": {k: v for k, v in os.environ.items() if k.startswith(('DB_', 'SQL', 'PATH'))}
}
# SQLAlchemy configuration
from app.core.config import settings
db_config = {
"sqlalchemy_url": settings.SQLALCHEMY_DATABASE_URL,
"connect_args": {"check_same_thread": False}
}
# Test file creation
# Try to create a test file
write_test = {}
try:
test_file = f"{DB_DIR}/test_db.txt"
with open(test_file, 'w') as f:
f.write("Test write access")
test_path = DB_DIR / "write_test.txt"
with open(test_path, 'w') as f:
f.write("Test content")
write_test["success"] = True
write_test["path"] = test_file
os.remove(test_file) # Clean up
write_test["path"] = str(test_path)
os.unlink(test_path) # Clean up
except Exception as e:
write_test["success"] = False
write_test["error"] = str(e)
return {
"status": "ok",
"storage_info": storage_info,
"disk_usage": disk_usage,
"connection_info": connection_info,
"table_info": table_info,
"db_file_info": db_file_info,
"db_config": db_config,
"timestamp": datetime.utcnow().isoformat(),
"file_info": file_info,
"sqlite_test": sqlite_test,
"sqlalchemy_test": sqlalchemy_test,
"environment": env_info,
"write_test": write_test
}
except Exception as e:
# Catch-all error handler
return {
"status": "error",
"global_error": str(e),
"message": str(e),
"traceback": traceback.format_exc()
}