supermetrics-python-sdk

API Reference

Complete reference for the supermetrics Python SDK public API.

Client Classes

SupermetricsClient

Synchronous client for blocking I/O operations.

from supermetrics import SupermetricsClient

client = SupermetricsClient(
    api_key="your_api_key",
    user_agent=None,
    custom_headers=None,
    timeout=30.0,
    base_url="https://api.supermetrics.com"
)

Parameters:

• api_key (str, required): Your Supermetrics API key
• user_agent (str, optional): Custom User-Agent header
• custom_headers (dict, optional): Additional HTTP headers for all requests
• timeout (float, optional): Request timeout in seconds (default: 30.0)
• base_url (str, optional): API base URL

Resource Properties:

• login_links: Access to LoginLinksResource
• logins: Access to LoginsResource
• accounts: Access to AccountsResource
• queries: Access to QueriesResource
• backfills: Access to BackfillsResource
• datasource_details: Access to DatasourceDetailsResource

Methods:

• close(): Close client and release resources
• __enter__(): Context manager entry
• __exit__(): Context manager exit

Example:

# Using context manager (recommended)
with SupermetricsClient(api_key="your_key") as client:
    accounts = client.accounts.list(ds_id="GAWA")

# Manual lifecycle
client = SupermetricsClient(api_key="your_key")
try:
    accounts = client.accounts.list(ds_id="GAWA")
finally:
    client.close()

---

SupermetricsAsyncClient

Asynchronous client for non-blocking I/O operations.

from supermetrics import SupermetricsAsyncClient

client = SupermetricsAsyncClient(
    api_key="your_api_key",
    user_agent=None,
    custom_headers=None,
    timeout=30.0,
    base_url="https://api.supermetrics.com"
)

Parameters: Same as SupermetricsClient

Resource Properties:

• login_links: Access to LoginLinksAsyncResource
• logins: Access to LoginsAsyncResource
• accounts: Access to AccountsAsyncResource
• queries: Access to QueriesAsyncResource
• backfills: Access to BackfillsAsyncResource
• datasource_details: Access to DatasourceDetailsAsyncResource

Methods:

• async close(): Close client and release resources
• async __aenter__(): Async context manager entry
• async __aexit__(): Async context manager exit

Example:

import asyncio
from supermetrics import SupermetricsAsyncClient

async def main():
    async with SupermetricsAsyncClient(api_key="your_key") as client:
        accounts = await client.accounts.list(ds_id="GAWA")
        print(f"Found {len(accounts)} accounts")

asyncio.run(main())

---

Resources

LoginLinksResource

Manage data source authentication links.

create()

Create a login link for data source authentication.

link = client.login_links.create(
    ds_id="GAWA",
    description="My Analytics Connection",
    expiry_time=None,
    **kwargs
)

Parameters:

• ds_id (str, required): Data source ID (e.g., “GAWA”, “google_ads”, “facebook_ads”)
• description (str, optional): Internal description for the link
• expiry_time (datetime, optional): Link expiry time (default: 24 hours from creation)
• **kwargs: Additional parameters:
  • require_username (str): Required username for authentication
  • redirect_url (str): Custom redirect URL after authentication

Returns: LoginLink object

Raises: AuthenticationError, ValidationError, APIError, NetworkError

Example:

link = client.login_links.create(
    ds_id="GAWA",
    description="Analytics Connection for Q1 Report"
)
print(f"Authentication URL: {link.login_url}")
print(f"Link ID: {link.link_id}")

get()

Retrieve a login link by ID.

link = client.login_links.get(link_id="abc123")

Parameters:

• link_id (str, required): The login link ID

Returns: LoginLink object with current state

Raises: AuthenticationError, ValidationError, APIError, NetworkError

Example:

link = client.login_links.get(link_id="abc123")
if link.login_id:
    print(f"User authenticated successfully! Login ID: {link.login_id}")
else:
    print(f"Link status: {link.status_code}")

list()

List all login links for the authenticated user.

links = client.login_links.list()

Returns: List of LoginLink objects

Raises: AuthenticationError, ValidationError, APIError, NetworkError

Example:

links = client.login_links.list()
for link in links:
    print(f"{link.ds_name}: {link.status_code}")

close()

Close/expire a login link.

client.login_links.close(link_id="abc123")

Parameters:

• link_id (str, required): The login link ID to close

Raises: AuthenticationError, ValidationError, APIError, NetworkError

Example:

client.login_links.close(link_id="abc123")
print("Link closed successfully")

---

LoginsResource

Retrieve login information and credentials.

get()

Retrieve a login by login ID.

login = client.logins.get(login_id="login_abc123")

Parameters:

• login_id (str, required): The Supermetrics login ID

Returns: DataSourceLogin object

Raises: AuthenticationError, ValidationError, APIError, NetworkError

Example:

login = client.logins.get(login_id="login_abc123")
print(f"Username: {login.username}")
print(f"Display Name: {login.display_name}")
print(f"Data Source: {login.ds_info.ds_name}")

list()

List all logins for the authenticated user.

logins = client.logins.list()

Returns: List of DataSourceLogin objects

Raises: AuthenticationError, ValidationError, APIError, NetworkError

Example:

logins = client.logins.list()
for login in logins:
    print(f"{login.ds_info.ds_name}: {login.username}")

get_by_username()

Retrieve a login by username (convenience method).

login = client.logins.get_by_username(login_username="user@example.com")

Parameters:

• login_username (str, required): Username to search for (case-sensitive)

Returns: DataSourceLogin object

Raises: AuthenticationError, ValidationError, APIError, NetworkError, ValueError (if not found)

Example:

try:
    login = client.logins.get_by_username("analytics@company.com")
    print(f"Found login: {login.login_id}")
except ValueError:
    print("Login not found")

---

AccountsResource

Retrieve data source accounts available for querying.

list()

List all accounts for a data source.

accounts = client.accounts.list(
    ds_id="GAWA",
    login_usernames=None,
    cache_minutes=None
)

Parameters:

• ds_id (str, required): Data source ID (e.g., “GAWA”, “google_ads”, “facebook_ads”)

• login_usernames (str

  list[str], optional): Username(s) to filter accounts

• cache_minutes (int, optional): Maximum age of cached data in minutes

Returns: Flattened list of account objects with account_id, account_name, group_name

Raises: AuthenticationError, ValidationError, APIError, NetworkError

Example:

# List all GAWA accounts
accounts = client.accounts.list(ds_id="GAWA")

# Filter by specific username
accounts = client.accounts.list(
    ds_id="GAWA",
    login_usernames="analytics@company.com"
)

# Filter by multiple usernames
accounts = client.accounts.list(
    ds_id="google_ads",
    login_usernames=["user1@company.com", "user2@company.com"]
)

# Print account details
for account in accounts:
    print(f"{account.account_name} ({account.account_id})")

---

QueriesResource

Execute data queries to retrieve marketing data.

execute()

Execute a data query.

result = client.queries.execute(
    ds_id="GAWA",
    ds_accounts=["123456789"],
    fields=["Date", "Sessions", "Users"],
    start_date="2024-01-01",
    end_date="2024-01-07",
    **kwargs
)

Parameters:

• ds_id (str, required): Data source ID
• ds_accounts (list[str], required): List of account IDs to query
• fields (list[str], required): List of field IDs to retrieve (data source specific)
• start_date (str, required): Start date (ISO 8601 “YYYY-MM-DD” or relative like “yesterday”)
• end_date (str, required): End date (ISO 8601 or relative like “today”)
• **kwargs: Additional parameters:
  • schedule_id (str): Custom identifier for query
  • ds_segments (list[str]): List of segment IDs
  • filter_ (str): Filter expression
  • max_rows (int): Maximum rows to return
  • cache_minutes (int): Maximum cache age in minutes
  • sync_timeout (int): Seconds to wait for completion

Returns: DataResponse object or None

Raises: AuthenticationError, ValidationError, APIError, NetworkError

Example:

result = client.queries.execute(
    ds_id="GAWA",
    ds_accounts=["123456789"],
    fields=["Date", "Sessions", "Users", "Pageviews"],
    start_date="2024-01-01",
    end_date="2024-01-31",
    max_rows=10000,
    filter_="Sessions > 100"
)

if result and result.data:
    print(f"Retrieved {len(result.data)} rows")
    for row in result.data:
        print(row)

get_results()

Retrieve results for a previously executed async query.

result = client.queries.get_results(query_id="query_abc123")

Parameters:

• query_id (str, required): Request ID from query execution response (response.meta.request_id)

Returns: DataResponse object or None

Raises: AuthenticationError, ValidationError, APIError, NetworkError

Example:

# Execute query
result = client.queries.execute(
    ds_id="GAWA",
    ds_accounts=["123456789"],
    fields=["Date", "Sessions"],
    start_date="2024-01-01",
    end_date="2024-12-31"
)

# Check if async processing
if result and result.meta and result.meta.status_code == "pending":
    print(f"Query is processing... Request ID: {result.meta.request_id}")

    # Poll for results
    import time
    time.sleep(5)
    result = client.queries.get_results(query_id=result.meta.request_id)

    if result and result.meta.status_code == "success":
        print(f"Query completed! Rows: {len(result.data)}")

---

BackfillsResource

Schedule and manage historical data backfills for Data Warehouse transfers.

Important: Backfill endpoints are served from a separate base URL. You must initialize the client with base_url="https://dts-api.supermetrics.com/v1" when using any backfill operations:

client = SupermetricsClient(
    api_key="your_api_key",
    base_url="https://dts-api.supermetrics.com/v1"
)

Required API key scopes:

• dwh_transfers_write — for creating and cancelling backfills
• dwh_transfers_read — for retrieving backfill information

Required user permissions:

• dwh.transfer.edit — for creating and cancelling backfills
• dwh.transfer.view — for retrieving backfill information

create()

Schedule a new backfill for a transfer.

backfill = client.backfills.create(
    team_id=12345,
    transfer_id=456789,
    range_start=date(2024, 1, 1),
    range_end=date(2024, 1, 31)
)

Parameters:

• team_id (int, required): Unique identifier of the team
• transfer_id (int, required): Unique identifier of the transfer
• range_start (date, required): Start date of the backfill range (inclusive)
• range_end (date, required): End date of the backfill range (inclusive)

Returns: Backfill object with status "CREATED"

Raises: AuthenticationError, ValidationError, APIError, NetworkError

Notes:

• The date range cannot overlap with an existing active backfill
• Backfills are processed asynchronously
• The transfer must exist and belong to your team

Example:

from datetime import date
from supermetrics import SupermetricsClient

with SupermetricsClient(api_key="your_key") as client:
    backfill = client.backfills.create(
        team_id=12345,
        transfer_id=456789,
        range_start=date(2024, 1, 1),
        range_end=date(2024, 1, 31)
    )
    print(f"Backfill ID: {backfill.transfer_backfill_id}")
    print(f"Status: {backfill.status}")  # "CREATED"
    print(f"Total runs: {backfill.transfer_runs_total}")

get()

Retrieve a backfill by its ID.

backfill = client.backfills.get(team_id=12345, backfill_id=67890)

Parameters:

• team_id (int, required): Unique identifier of the team
• backfill_id (int, required): Unique identifier of the backfill

Returns: Backfill object with current status and progress

Raises: AuthenticationError, APIError (404 if not found), NetworkError

Example:

backfill = client.backfills.get(team_id=12345, backfill_id=67890)
print(f"Status: {backfill.status}")
print(f"Progress: {backfill.transfer_runs_completed}/{backfill.transfer_runs_total}")

if backfill.error_report:
    for err in backfill.error_report:
        print(f"Error on {err.transfer_run_date}: {err.error}")

get_latest()

Retrieve the most recent backfill for a transfer.

backfill = client.backfills.get_latest(team_id=12345, transfer_id=456789)

Parameters:

• team_id (int, required): Unique identifier of the team
• transfer_id (int, required): Unique identifier of the transfer

Returns: Backfill object — the latest backfill regardless of status

Raises: AuthenticationError, APIError (404 if no backfill has ever been created), NetworkError

Example:

try:
    latest = client.backfills.get_latest(team_id=12345, transfer_id=456789)
    print(f"Latest backfill: {latest.transfer_backfill_id}")
    print(f"Status: {latest.status}")
    print(f"Range: {latest.range_start_date} — {latest.range_end_date}")
except APIError as e:
    if e.status_code == 404:
        print("No backfill has been created for this transfer yet")

list_incomplete()

List all incomplete backfills for a team.

backfills = client.backfills.list_incomplete(team_id=12345)

Parameters:

• team_id (int, required): Unique identifier of the team

Returns: list[Backfill] — backfills with status CREATED, SCHEDULED, RUNNING, or FAILED, sorted by creation time (newest first). Returns an empty list if none exist.

Raises: AuthenticationError, APIError, NetworkError

Example:

backfills = client.backfills.list_incomplete(team_id=12345)

if not backfills:
    print("No incomplete backfills")
else:
    for backfill in backfills:
        print(f"[{backfill.status}] Backfill {backfill.transfer_backfill_id} "
              f"(transfer {backfill.transfer_id}): "
              f"{backfill.transfer_runs_completed}/{backfill.transfer_runs_total} runs done")

cancel()

Cancel a backfill by setting its status to "CANCELLED".

backfill = client.backfills.cancel(team_id=12345, backfill_id=67890)

Parameters:

• team_id (int, required): Unique identifier of the team
• backfill_id (int, required): Unique identifier of the backfill to cancel

Returns: Backfill object with status "CANCELLED" and updated timestamps

Raises: AuthenticationError, ValidationError (if backfill is already in a final state), APIError (404 if not found), NetworkError

Notes:

• Only backfills with status CREATED, SCHEDULED, RUNNING, or FAILED can be cancelled
• Pending/queued transfer runs are cancelled immediately
• Transfer runs already in progress will complete
• The backfill record is retained with status "CANCELLED" — it is not deleted

Example:

from supermetrics import ValidationError, APIError

try:
    cancelled = client.backfills.cancel(team_id=12345, backfill_id=67890)
    print(f"Status: {cancelled.status}")        # "CANCELLED"
    print(f"Ended at: {cancelled.end_time}")
except ValidationError:
    print("Cannot cancel — backfill is already in a final state")
except APIError as e:
    if e.status_code == 404:
        print("Backfill not found")

Async usage (all methods above are also available on BackfillsAsyncResource):

import asyncio
from datetime import date
from supermetrics import SupermetricsAsyncClient

async def main():
    async with SupermetricsAsyncClient(
        api_key="your_key",
        base_url="https://dts-api.supermetrics.com/v1"
    ) as client:
        backfill = await client.backfills.create(
            team_id=12345,
            transfer_id=456789,
            range_start=date(2024, 1, 1),
            range_end=date(2024, 1, 31)
        )
        print(f"Created backfill: {backfill.transfer_backfill_id}")

        incomplete = await client.backfills.list_incomplete(team_id=12345)
        print(f"Incomplete backfills: {len(incomplete)}")

asyncio.run(main())

---

DatasourceDetailsResource

Retrieve complete configuration details for a Supermetrics data source.

get()

Fetch metadata for a data source including report types, settings, and authentication requirements.

details = client.datasource_details.get(
    team_id=12345,
    data_source_id="GAWA",
    sm_app_id=None   # optional
)

Parameters:

• team_id (int, required): Unique identifier of the team
• data_source_id (str, required): Data source ID (e.g., "GAWA", "AW", "SA360")
• sm_app_id (str, optional): Value forwarded as the Sm-App-Id request header

Returns: DatasourceDetails object

Raises: AuthenticationError, ValidationError, APIError, NetworkError

Example:

from supermetrics import SupermetricsClient, APIError

with SupermetricsClient(api_key="your_key") as client:
    details = client.datasource_details.get(team_id=12345, data_source_id="GAWA")

    print(f"Name:    {details.name}")
    print(f"Status:  {details.status}")
    print(f"Premium: {details.is_premium}")

    if details.report_types:
        for rt in details.report_types:
            print(f"  Report type: {rt.id} — {rt.name}")

Async usage:

import asyncio
from supermetrics import SupermetricsAsyncClient

async def main():
    async with SupermetricsAsyncClient(api_key="your_key") as client:
        details = await client.datasource_details.get(
            team_id=12345,
            data_source_id="GAWA"
        )
        print(f"Datasource: {details.name} ({details.status})")

asyncio.run(main())

---

Models

Backfill

Represents a Data Warehouse backfill job.

Attributes:

• transfer_backfill_id (int): Unique identifier of the backfill
• transfer_id (int): ID of the transfer this backfill belongs to
• range_start_date (str): Start date of the backfill range (YYYY-MM-DD)
• range_end_date (str): End date of the backfill range (YYYY-MM-DD)
• status (str): Current status — one of CREATED, SCHEDULED, RUNNING, FAILED, COMPLETED, CANCELLED
• created_time (str): ISO 8601 timestamp when the backfill was created
• created_user_id (int): ID of the user who created the backfill

• start_time (str

  None): ISO 8601 timestamp when processing started

• end_time (str

  None): ISO 8601 timestamp when processing completed or was cancelled

• removed_time (str

  None): ISO 8601 timestamp when the backfill was cancelled

• removed_user_id (int

  None): ID of the user who cancelled the backfill

• transfer_runs_total (int): Total number of transfer runs for this backfill
• transfer_runs_created (int): Number of transfer runs that have been created
• transfer_runs_completed (int): Number of transfer runs that completed successfully
• transfer_runs_failed (int): Number of transfer runs that failed
• error_report (list[TransferBackfillRunError]): Errors from failed transfer runs (empty if none)

Example:

backfill = client.backfills.get(team_id=12345, backfill_id=67890)

# Check status
print(f"Status: {backfill.status}")

# Track progress
total = backfill.transfer_runs_total
done = backfill.transfer_runs_completed
failed = backfill.transfer_runs_failed
print(f"Progress: {done}/{total} completed, {failed} failed")

# Check for errors
for err in backfill.error_report:
    print(f"  {err.transfer_run_date}: {err.error}")

---

TransferBackfillRunError

Represents an error that occurred during a single transfer run within a backfill.

Attributes:

• transfer_run_date (str): The date (YYYY-MM-DD) of the transfer run that failed
• error (str): Error message describing what went wrong

Example:

backfill = client.backfills.get(team_id=12345, backfill_id=67890)
for err in backfill.error_report:
    print(f"Run on {err.transfer_run_date} failed: {err.error}")

---

DatasourceDetails

Represents complete configuration metadata for a Supermetrics data source.

Key Attributes:

• id (str): Unique data source identifier (e.g., "GAWA", "AW")
• name (str): Human-readable name (e.g., "Google Analytics 4")
• description (str): Detailed description of the data source

• marketing_name (str

  None): Connector marketing name

• logo_url (str): URL to the connector logo image
• categories (list[DatasourceDetailsCategoriesItem]): Category tags (e.g., ["ANALYTICS"])
• products (list[str]): Products where this datasource is available (e.g., ["API", "DS", "DWH"])
• status (DatasourceDetailsStatus): Release status — Released, Beta, Deprecated, etc.
• is_premium (bool): Whether this is a premium connector
• tags (list[str]): Tags such as ["popular"]
• is_authentication_required (bool): Whether the datasource requires OAuth/credentials
• has_account_list (bool): Whether account-level selection is supported
• has_fields (bool): Whether field selection is supported
• has_segments (bool): Whether segments are supported
• has_report_type_selection (bool): Whether report type selection UI should be shown
• is_date_range_required (bool): Whether a date range is required

• min_metrics (int

  None): Minimum metrics required per query

• max_metrics (int

  None): Maximum metrics allowed per query

• min_dimensions (int

  None): Minimum dimensions required per query

• max_dimensions (int

  None): Maximum dimensions allowed per query

• report_type_header_label (str): UI label for the report type selector
• report_types (list[DatasourceReportType]): Available report types
• common_settings (list[DatasourceSetting]): Settings shared across all report types

Example:

details = client.datasource_details.get(team_id=12345, data_source_id="GAWA")

print(f"ID:      {details.id}")
print(f"Name:    {details.name}")
print(f"Status:  {details.status}")
print(f"Premium: {details.is_premium}")
print(f"Auth required: {details.is_authentication_required}")

for rt in (details.report_types or []):
    print(f"  Report type: {rt.id} — {rt.name}")

---

LoginLink

Represents a data source login link for OAuth authentication.

Key Attributes:

• link_id (str): Supermetrics login link ID
• status_code (str): Current link status
• description (str): Internal link description
• ds_id (str): Data source ID
• ds_name (str): Data source name
• login_url (str): Full URL to initiate authentication
• created_time (datetime): Link creation time
• expiry_time (datetime): Link expiry time

• login_id (str

  None): Login ID after successful authentication

• login_time (datetime

  None): Authentication time

• login_username (str

  None): Username used for authentication

Example:

link = client.login_links.create(ds_id="GAWA")
print(f"Visit: {link.login_url}")
print(f"Expires: {link.expiry_time}")

---

DataSourceLogin

Represents an authenticated data source login with credentials.

Key Attributes:

• login_id (str): Supermetrics login ID
• username (str): Authenticated username (use as ds_user in queries)
• display_name (str): Visible name in UIs
• ds_info (DataSource): Data source information
• auth_time (datetime): Last authentication time

• expiry_time (datetime

  None): Authentication expiry time

• is_refreshable (bool): Whether auth can be auto-refreshed
• is_shared (bool): Whether login is shared with team

Example:

login = client.logins.get(login_id="login_abc123")
print(f"Authenticated as: {login.username}")
print(f"Data Source: {login.ds_info.ds_name}")
print(f"Expires: {login.expiry_time}")

---

Account

Represents a data source account.

Attributes:

• account_id (str): Account ID (use in queries)
• account_name (str): Account display name
• group_name (str): Account group name

Example:

accounts = client.accounts.list(ds_id="GAWA")
for account in accounts:
    print(f"ID: {account.account_id}")
    print(f"Name: {account.account_name}")
    print(f"Group: {account.group_name}")

---

DataResponse

Represents a query execution response.

Key Attributes:

• meta (DataResponseMeta): Query metadata
  • request_id (str): Query request ID
  • status_code (str): Query status (“pending”, “success”, etc.)
  • fields (list): Field definitions
  • query (dict): Query parameters
• data (list[list[str]]): Query result rows (2D array)

Example:

result = client.queries.execute(...)

# Check metadata
if result and result.meta:
    print(f"Status: {result.meta.status_code}")
    print(f"Request ID: {result.meta.request_id}")

# Process data
if result and result.data:
    headers = [field["field_id"] for field in result.meta.fields]
    print(f"Columns: {headers}")

    for row in result.data:
        print(row)

---

Exceptions

All exceptions inherit from SupermetricsError base class.

SupermetricsError

Base exception for all SDK errors.

Attributes:

• message (str): Human-readable error description

• status_code (int

  None): HTTP status code

• endpoint (str

  None): API endpoint that was called

• response_body (str

  None): Raw response body

Example:

from supermetrics import SupermetricsError

try:
    client.accounts.list(ds_id="GAWA")
except SupermetricsError as e:
    print(f"Error: {e.message}")
    print(f"Status: {e.status_code}")
    print(f"Endpoint: {e.endpoint}")

---

AuthenticationError

Raised when API authentication fails (HTTP 401).

Common Causes:

• Invalid API key
• Expired API key
• Revoked API key

Example:

from supermetrics import AuthenticationError

try:
    client = SupermetricsClient(api_key="invalid_key")
    client.login_links.list()
except AuthenticationError as e:
    print(f"Auth failed: {e.message}")

---

ValidationError

Raised when request validation fails (HTTP 400, 422).

Common Causes:

• Missing required parameters
• Invalid parameter values
• Incorrect parameter types

Example:

from supermetrics import ValidationError

try:
    client.accounts.list(ds_id="")  # Invalid empty ds_id
except ValidationError as e:
    print(f"Validation failed: {e.message}")

---

APIError

Raised for API-level errors (HTTP 403, 404, 429, 5xx).

Common Causes:

• Resource not found (404)
• Forbidden/insufficient permissions (403)
• Rate limit exceeded (429)
• Server errors (500, 503)

Example:

from supermetrics import APIError

try:
    client.logins.get("nonexistent_id")
except APIError as e:
    if e.status_code == 404:
        print("Login not found")
    elif e.status_code == 429:
        print("Rate limited")

---

NetworkError

Raised for network-level failures.

Common Causes:

• Connection timeout
• Connection refused
• DNS resolution failure
• Network connectivity issues

Example:

from supermetrics import NetworkError

try:
    client = SupermetricsClient(api_key="key", timeout=1.0)
    client.login_links.list()
except NetworkError as e:
    print(f"Network error: {e.message}")

---

Type Utilities

UNSET and Unset

Sentinel value to distinguish between None and unset optional fields.

Example:

from supermetrics._generated.supermetrics_api_client.types import UNSET

link = client.login_links.get(link_id="abc123")

# Check if field is set
if link.description is not UNSET:
    print(f"Description: {link.description}")
else:
    print("No description provided")

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