Retrieve File

client.files.retrieve(
    file_id: str
) -> FileObject

class FileObject(BaseModel):
    id: str  # File identifier
    bytes: int  # File size in bytes
    created_at: int  # Unix timestamp
    filename: str  # Original file name
    object: Literal["file"]  # Always "file"
    purpose: str  # File purpose
    status: Literal["uploaded", "processed", "error"]  # Processing status
    expires_at: Optional[int]  # Unix timestamp when file expires
    status_details: Optional[str]  # Error details if status is "error"

from openai import OpenAI

client = OpenAI()

file = client.files.retrieve("file-abc123")

print(f"Filename: {file.filename}")
print(f"Size: {file.bytes} bytes")
print(f"Purpose: {file.purpose}")
print(f"Status: {file.status}")

file = client.files.retrieve("file-abc123")

if file.status == "processed":
    print("File is ready to use")
elif file.status == "error":
    print(f"File processing failed: {file.status_details}")
else:
    print(f"File is still processing...")

from datetime import datetime

file = client.files.retrieve("file-abc123")

created_date = datetime.fromtimestamp(file.created_at)
size_mb = file.bytes / (1024 * 1024)

print(f"File: {file.filename}")
print(f"Created: {created_date.strftime('%Y-%m-%d %H:%M:%S')}")
print(f"Size: {size_mb:.2f} MB")

if file.expires_at:
    expires_date = datetime.fromtimestamp(file.expires_at)
    print(f"Expires: {expires_date.strftime('%Y-%m-%d %H:%M:%S')}")

# Get file metadata
file = client.files.retrieve("file-abc123")
print(f"Downloading {file.filename}...")

# Download the actual file content
content = client.files.content(file.id)

# Save to disk
with open(file.filename, "wb") as f:
    f.write(content.read())

print(f"Downloaded {file.bytes} bytes")

from openai import AsyncOpenAI

client = AsyncOpenAI()

file = await client.files.retrieve("file-abc123")
print(f"{file.filename}: {file.status}")

# Get binary content
content = client.files.content("file-abc123")

# content is an HttpxBinaryResponseContent object
binary_data = content.read()

# Save to file
with open("downloaded_file.jsonl", "wb") as f:
    f.write(binary_data)

# Wait for file to finish processing
file = client.files.wait_for_processing(
    "file-abc123",
    poll_interval=5.0,  # Check every 5 seconds
    max_wait_seconds=1800  # Wait up to 30 minutes
)

if file.status == "processed":
    print("File ready!")

from openai import OpenAI, NotFoundError

client = OpenAI()

try:
    file = client.files.retrieve("file-invalid")
except NotFoundError:
    print("File not found")
except Exception as e:
    print(f"Error retrieving file: {e}")