Files
insights-python/hanzo_insights/__init__.py
T
Hanzo Dev 34b739cd6b rebrand: remove all compat aliases, zero posthog refs
- Remove Posthog = Insights alias from __init__.py
- Remove PosthogContextMiddleware alias from django.py
- Remove PostHogTracingProcessor alias from processor.py
- Change $lib from "posthog-python" to "insights-python"
- Change ingestion URLs from posthog.com to insights.hanzo.ai
- Rename all posthog_* kwargs to insights_* across AI wrappers
- Rename __posthog_exception_captured to __insights_exception_captured
- Rename posthog_context_stack contextvar to insights_context_stack
- Rename posthog🎏 Redis prefix to insights🎏
- Rename $$_posthog_redacted_* sentinels to $$_insights_redacted_*
- Remove POSTHOG_MW_* Django settings fallback, X-POSTHOG-* headers
- Rename Prompts(posthog=) param to Prompts(client=)
- Update APP_ENDPOINT to us.insights.hanzo.ai
- Update all tests, examples, docs, mypy config
2026-03-13 20:29:13 -07:00

895 lines
29 KiB
Python

import datetime # noqa: F401
from typing import Any, Callable, Dict, Optional # noqa: F401
from typing_extensions import Unpack
from hanzo_insights.args import ExceptionArg, OptionalCaptureArgs, OptionalSetArgs
from hanzo_insights.client import Client
from hanzo_insights.contexts import (
identify_context as inner_identify_context,
)
from hanzo_insights.contexts import (
new_context as inner_new_context,
)
from hanzo_insights.contexts import (
scoped as inner_scoped,
)
from hanzo_insights.contexts import (
set_capture_exception_code_variables_context as inner_set_capture_exception_code_variables_context,
)
from hanzo_insights.contexts import (
set_code_variables_ignore_patterns_context as inner_set_code_variables_ignore_patterns_context,
)
from hanzo_insights.contexts import (
set_code_variables_mask_patterns_context as inner_set_code_variables_mask_patterns_context,
)
from hanzo_insights.contexts import (
set_context_device_id as inner_set_context_device_id,
)
from hanzo_insights.contexts import (
set_context_session as inner_set_context_session,
)
from hanzo_insights.contexts import (
tag as inner_tag,
)
from hanzo_insights.contexts import (
get_tags as inner_get_tags,
)
from hanzo_insights.exception_utils import (
DEFAULT_CODE_VARIABLES_IGNORE_PATTERNS,
DEFAULT_CODE_VARIABLES_MASK_PATTERNS,
)
from hanzo_insights.feature_flags import (
InconclusiveMatchError as InconclusiveMatchError,
)
from hanzo_insights.feature_flags import (
RequiresServerEvaluation as RequiresServerEvaluation,
)
from hanzo_insights.flag_definition_cache import (
FlagDefinitionCacheData as FlagDefinitionCacheData,
FlagDefinitionCacheProvider as FlagDefinitionCacheProvider,
)
from hanzo_insights.request import (
disable_connection_reuse as disable_connection_reuse,
enable_keep_alive as enable_keep_alive,
set_socket_options as set_socket_options,
SocketOptions as SocketOptions,
)
from hanzo_insights.types import (
FeatureFlag,
FlagsAndPayloads,
)
from hanzo_insights.types import (
FeatureFlagResult as FeatureFlagResult,
)
from hanzo_insights.version import VERSION
__version__ = VERSION
"""Context management."""
def new_context(fresh=False, capture_exceptions=True, client=None):
"""
Create a new context scope that will be active for the duration of the with block.
Args:
fresh: Whether to start with a fresh context (default: False)
capture_exceptions: Whether to capture exceptions raised within the context (default: True)
client: Optional Insights client instance to use for this context (default: None)
Examples:
```python
from hanzo_insights import new_context, tag, capture
with new_context():
tag("request_id", "123")
capture("event_name", properties={"property": "value"})
```
Category:
Contexts
"""
return inner_new_context(
fresh=fresh, capture_exceptions=capture_exceptions, client=client
)
def scoped(fresh=False, capture_exceptions=True):
"""
Decorator that creates a new context for the function.
Args:
fresh: Whether to start with a fresh context (default: False)
capture_exceptions: Whether to capture and track exceptions with Insights error tracking (default: True)
Examples:
```python
from hanzo_insights import scoped, tag, capture
@scoped()
def process_payment(payment_id):
tag("payment_id", payment_id)
capture("payment_started")
```
Category:
Contexts
"""
return inner_scoped(fresh=fresh, capture_exceptions=capture_exceptions)
def set_context_session(session_id: str):
"""
Set the session ID for the current context.
Args:
session_id: The session ID to associate with the current context and its children
Examples:
```python
from hanzo_insights import set_context_session
set_context_session("session_123")
```
Category:
Contexts
"""
return inner_set_context_session(session_id)
def set_context_device_id(device_id: str):
"""
Set the device ID for the current context, associating all feature flag requests
in this or child contexts with the given device ID.
Args:
device_id: The device ID to associate with the current context and its children
Examples:
```python
from hanzo_insights import set_context_device_id
set_context_device_id("device_123")
```
Category:
Contexts
"""
return inner_set_context_device_id(device_id)
def identify_context(distinct_id: str):
"""
Identify the current context with a distinct ID.
Args:
distinct_id: The distinct ID to associate with the current context and its children
Examples:
```python
from hanzo_insights import identify_context
identify_context("user_123")
```
Category:
Identification
"""
return inner_identify_context(distinct_id)
def set_capture_exception_code_variables_context(enabled: bool):
"""
Set whether code variables are captured for the current context.
"""
return inner_set_capture_exception_code_variables_context(enabled)
def set_code_variables_mask_patterns_context(mask_patterns: list):
"""
Variable names matching these patterns will be masked with *** when capturing code variables.
"""
return inner_set_code_variables_mask_patterns_context(mask_patterns)
def set_code_variables_ignore_patterns_context(ignore_patterns: list):
"""
Variable names matching these patterns will be ignored completely when capturing code variables.
"""
return inner_set_code_variables_ignore_patterns_context(ignore_patterns)
def tag(name: str, value: Any):
"""
Add a tag to the current context.
Args:
name: The tag key
value: The tag value
Examples:
```python
from hanzo_insights import tag
tag("user_id", "123")
```
Category:
Contexts
"""
return inner_tag(name, value)
def get_tags() -> Dict[str, Any]:
"""
Get all tags from the current context.
Returns:
Dict of all tags in the current context
Category:
Contexts
"""
return inner_get_tags()
"""Settings."""
api_key = None # type: Optional[str]
host = None # type: Optional[str]
on_error = None # type: Optional[Callable]
debug = False # type: bool
send = True # type: bool
sync_mode = False # type: bool
disabled = False # type: bool
personal_api_key = None # type: Optional[str]
project_api_key = None # type: Optional[str]
poll_interval = 30 # type: int
disable_geoip = True # type: bool
feature_flags_request_timeout_seconds = 3 # type: int
super_properties = None # type: Optional[Dict]
# Currently alpha, use at your own risk
enable_exception_autocapture = False # type: bool
log_captured_exceptions = False # type: bool
# Used to determine in app paths for exception autocapture. Defaults to the current working directory
project_root = None # type: Optional[str]
# Used for our AI observability feature to not capture any prompt or output just usage + metadata
privacy_mode = False # type: bool
# Whether to enable feature flag polling for local evaluation by default. Defaults to True.
# We recommend setting this to False if you are only using the personalApiKey for evaluating remote config payloads via `get_remote_config_payload` and not using local evaluation.
enable_local_evaluation = True # type: bool
default_client = None # type: Optional[Client]
capture_exception_code_variables = False
code_variables_mask_patterns = DEFAULT_CODE_VARIABLES_MASK_PATTERNS
code_variables_ignore_patterns = DEFAULT_CODE_VARIABLES_IGNORE_PATTERNS
in_app_modules = None # type: Optional[list[str]]
# NOTE - this and following functions take unpacked kwargs because we needed to make
# it impossible to write `hanzo_insights.capture(distinct-id, event-name)` - basically, to enforce
# the breaking change made between 5.3.0 and 6.0.0. This decision can be unrolled in later
# versions, without a breaking change, to get back the type information in function signatures
def capture(event: str, **kwargs: Unpack[OptionalCaptureArgs]) -> Optional[str]:
"""
Capture anything a user does within your system.
Args:
event: The event name to specify the event
**kwargs: Optional arguments including:
distinct_id: Unique identifier for the user
properties: Dict of event properties
timestamp: When the event occurred
groups: Dict of group types and IDs
disable_geoip: Whether to disable GeoIP lookup
Details:
Capture allows you to capture anything a user does within your system, which you can later use in Insights to find patterns in usage, work out which features to improve or where people are giving up. A capture call requires an event name to specify the event. We recommend using [verb] [noun], like `movie played` or `movie updated` to easily identify what your events mean later on. Capture takes a number of optional arguments, which are defined by the `OptionalCaptureArgs` type.
Examples:
```python
# Context and capture usage
from hanzo_insights import new_context, identify_context, tag_context, capture
# Enter a new context (e.g. a request/response cycle, an instance of a background job, etc)
with new_context():
# Associate this context with some user, by distinct_id
identify_context('some user')
# Capture an event, associated with the context-level distinct ID ('some user')
capture('movie started')
# Capture an event associated with some other user (overriding the context-level distinct ID)
capture('movie joined', distinct_id='some-other-user')
# Capture an event with some properties
capture('movie played', properties={'movie_id': '123', 'category': 'romcom'})
# Capture an event with some properties
capture('purchase', properties={'product_id': '123', 'category': 'romcom'})
# Capture an event with some associated group
capture('purchase', groups={'company': 'id:5'})
# Adding a tag to the current context will cause it to appear on all subsequent events
tag_context('some-tag', 'some-value')
capture('another-event') # Will be captured with `'some-tag': 'some-value'` in the properties dict
```
```python
# Set event properties
from hanzo_insights import capture
capture(
"user_signed_up",
distinct_id="distinct_id_of_the_user",
properties={
"login_type": "email",
"is_free_trial": "true"
}
)
```
Category:
Events
"""
return _proxy("capture", event, **kwargs)
def set(**kwargs: Unpack[OptionalSetArgs]) -> Optional[str]:
"""
Set properties on a user record.
Details:
This will overwrite previous people property values. Generally operates similar to `capture`, with distinct_id being an optional argument, defaulting to the current context's distinct ID. If there is no context-level distinct ID, and no override distinct_id is passed, this function will do nothing. Context tags are folded into $set properties, so tagging the current context and then calling `set` will cause those tags to be set on the user (unlike capture, which causes them to just be set on the event).
Examples:
```python
# Set person properties
from hanzo_insights import capture
capture(
'distinct_id',
event='event_name',
properties={
'$set': {'name': 'Max Hedgehog'},
'$set_once': {'initial_url': '/blog'}
}
)
```
Category:
Identification
"""
return _proxy("set", **kwargs)
def set_once(**kwargs: Unpack[OptionalSetArgs]) -> Optional[str]:
"""
Set properties on a user record, only if they do not yet exist.
Details:
This will not overwrite previous people property values, unlike `set`. Otherwise, operates in an identical manner to `set`.
Examples:
```python
# Set property once
from hanzo_insights import capture
capture(
'distinct_id',
event='event_name',
properties={
'$set': {'name': 'Max Hedgehog'},
'$set_once': {'initial_url': '/blog'}
}
)
```
Category:
Identification
"""
return _proxy("set_once", **kwargs)
def group_identify(
group_type, # type: str
group_key, # type: str
properties=None, # type: Optional[Dict]
timestamp=None, # type: Optional[datetime.datetime]
uuid=None, # type: Optional[str]
disable_geoip=None, # type: Optional[bool]
):
# type: (...) -> Optional[str]
"""
Set properties on a group.
Args:
group_type: Type of your group
group_key: Unique identifier of the group
properties: Properties to set on the group
timestamp: Optional timestamp for the event
uuid: Optional UUID for the event
disable_geoip: Whether to disable GeoIP lookup
Examples:
```python
# Group identify
from hanzo_insights import group_identify
group_identify('company', 'company_id_in_your_db', {
'name': 'Awesome Inc.',
'employees': 11
})
```
Category:
Identification
"""
return _proxy(
"group_identify",
group_type=group_type,
group_key=group_key,
properties=properties,
timestamp=timestamp,
uuid=uuid,
disable_geoip=disable_geoip,
)
def alias(
previous_id, # type: str
distinct_id, # type: str
timestamp=None, # type: Optional[datetime.datetime]
uuid=None, # type: Optional[str]
disable_geoip=None, # type: Optional[bool]
):
# type: (...) -> Optional[str]
"""
Associate user behaviour before and after they e.g. register, login, or perform some other identifying action.
Args:
previous_id: The unique ID of the user before
distinct_id: The current unique id
timestamp: Optional timestamp for the event
uuid: Optional UUID for the event
disable_geoip: Whether to disable GeoIP lookup
Details:
To marry up whatever a user does before they sign up or log in with what they do after you need to make an alias call. This will allow you to answer questions like "Which marketing channels leads to users churning after a month?" or "What do users do on our website before signing up?". Particularly useful for associating user behaviour before and after they e.g. register, login, or perform some other identifying action.
Examples:
```python
# Alias user
from hanzo_insights import alias
alias(previous_id='distinct_id', distinct_id='alias_id')
```
Category:
Identification
"""
return _proxy(
"alias",
previous_id=previous_id,
distinct_id=distinct_id,
timestamp=timestamp,
uuid=uuid,
disable_geoip=disable_geoip,
)
def capture_exception(
exception: Optional[ExceptionArg] = None,
**kwargs: Unpack[OptionalCaptureArgs],
):
"""
Capture exceptions that happen in your code.
Args:
exception: The exception to capture. If not provided, the current exception is captured via `sys.exc_info()`
Details:
Capture exception is idempotent - if it is called twice with the same exception instance, only a occurrence will be tracked in hanzo_insights. This is because, generally, contexts will cause exceptions to be captured automatically. However, to ensure you track an exception, if you catch and do not re-raise it, capturing it manually is recommended, unless you are certain it will have crossed a context boundary (e.g. by existing a `with hanzo_insights.new_context():` block already). If the passed exception was raised and caught, the captured stack trace will consist of every frame between where the exception was raised and the point at which it is captured (the "traceback"). If the passed exception was never raised, e.g. if you call `hanzo_insights.capture_exception(ValueError("Some Error"))`, the stack trace captured will be the full stack trace at the moment the exception was captured. Note that heavy use of contexts will lead to truncated stack traces, as the exception will be captured by the context entered most recently, which may not be the point you catch the exception for the final time in your code. It's recommended to use contexts sparingly, for this reason. `capture_exception` takes the same set of optional arguments as `capture`.
Examples:
```python
# Capture exception
from hanzo_insights import capture_exception
try:
risky_operation()
except Exception as e:
capture_exception(e)
```
Category:
Events
"""
return _proxy("capture_exception", exception=exception, **kwargs)
def feature_enabled(
key, # type: str
distinct_id, # type: str
groups=None, # type: Optional[dict]
person_properties=None, # type: Optional[dict]
group_properties=None, # type: Optional[dict]
only_evaluate_locally=False, # type: bool
send_feature_flag_events=True, # type: bool
disable_geoip=None, # type: Optional[bool]
device_id=None, # type: Optional[str]
):
# type: (...) -> bool
"""
Use feature flags to enable or disable features for users.
Args:
key: The feature flag key
distinct_id: The user's distinct ID
groups: Groups mapping
person_properties: Person properties
group_properties: Group properties
only_evaluate_locally: Whether to evaluate only locally
send_feature_flag_events: Whether to send feature flag events
disable_geoip: Whether to disable GeoIP lookup
Details:
You can call `hanzo_insights.load_feature_flags()` before to make sure you're not doing unexpected requests.
Examples:
```python
# Boolean feature flag
from hanzo_insights import feature_enabled, get_feature_flag_payload
is_my_flag_enabled = feature_enabled('flag-key', 'distinct_id_of_your_user')
if is_my_flag_enabled:
matched_flag_payload = get_feature_flag_payload('flag-key', 'distinct_id_of_your_user')
```
Category:
Feature flags
"""
return _proxy(
"feature_enabled",
key=key,
distinct_id=distinct_id,
groups=groups or {},
person_properties=person_properties or {},
group_properties=group_properties or {},
only_evaluate_locally=only_evaluate_locally,
send_feature_flag_events=send_feature_flag_events,
disable_geoip=disable_geoip,
device_id=device_id,
)
def get_feature_flag(
key, # type: str
distinct_id, # type: str
groups=None, # type: Optional[dict]
person_properties=None, # type: Optional[dict]
group_properties=None, # type: Optional[dict]
only_evaluate_locally=False, # type: bool
send_feature_flag_events=True, # type: bool
disable_geoip=None, # type: Optional[bool]
device_id=None, # type: Optional[str]
) -> Optional[FeatureFlag]:
"""
Get feature flag variant for users. Used with experiments.
Args:
key: The feature flag key
distinct_id: The user's distinct ID
groups: Groups mapping from group type to group key
person_properties: Person properties
group_properties: Group properties in format { group_type_name: { group_properties } }
only_evaluate_locally: Whether to evaluate only locally
send_feature_flag_events: Whether to send feature flag events
disable_geoip: Whether to disable GeoIP lookup
Details:
`groups` are a mapping from group type to group key. So, if you have a group type of "organization" and a group key of "5", you would pass groups={"organization": "5"}. `group_properties` take the format: { group_type_name: { group_properties } }. So, for example, if you have the group type "organization" and the group key "5", with the properties name, and employee count, you'll send these as: group_properties={"organization": {"name": "Hanzo", "employees": 11}}.
Examples:
```python
# Multivariate feature flag
from hanzo_insights import get_feature_flag, get_feature_flag_payload
enabled_variant = get_feature_flag('flag-key', 'distinct_id_of_your_user')
if enabled_variant == 'variant-key':
matched_flag_payload = get_feature_flag_payload('flag-key', 'distinct_id_of_your_user')
```
Category:
Feature flags
"""
return _proxy(
"get_feature_flag",
key=key,
distinct_id=distinct_id,
groups=groups or {},
person_properties=person_properties or {},
group_properties=group_properties or {},
only_evaluate_locally=only_evaluate_locally,
send_feature_flag_events=send_feature_flag_events,
disable_geoip=disable_geoip,
device_id=device_id,
)
def get_all_flags(
distinct_id, # type: str
groups=None, # type: Optional[dict]
person_properties=None, # type: Optional[dict]
group_properties=None, # type: Optional[dict]
only_evaluate_locally=False, # type: bool
disable_geoip=None, # type: Optional[bool]
device_id=None, # type: Optional[str]
) -> Optional[dict[str, FeatureFlag]]:
"""
Get all flags for a given user.
Args:
distinct_id: The user's distinct ID
groups: Groups mapping
person_properties: Person properties
group_properties: Group properties
only_evaluate_locally: Whether to evaluate only locally
disable_geoip: Whether to disable GeoIP lookup
Details:
Flags are key-value pairs where the key is the flag key and the value is the flag variant, or True, or False.
Examples:
```python
# All flags for user
from hanzo_insights import get_all_flags
get_all_flags('distinct_id_of_your_user')
```
Category:
Feature flags
"""
return _proxy(
"get_all_flags",
distinct_id=distinct_id,
groups=groups or {},
person_properties=person_properties or {},
group_properties=group_properties or {},
only_evaluate_locally=only_evaluate_locally,
disable_geoip=disable_geoip,
device_id=device_id,
)
def get_feature_flag_result(
key,
distinct_id,
groups=None, # type: Optional[dict]
person_properties=None, # type: Optional[dict]
group_properties=None, # type: Optional[dict]
only_evaluate_locally=False,
send_feature_flag_events=True,
disable_geoip=None, # type: Optional[bool]
device_id=None, # type: Optional[str]
):
# type: (...) -> Optional[FeatureFlagResult]
"""
Get a FeatureFlagResult object which contains the flag result and payload.
This method evaluates a feature flag and returns a FeatureFlagResult object containing:
- enabled: Whether the flag is enabled
- variant: The variant value if the flag has variants
- payload: The payload associated with the flag (automatically deserialized from JSON)
- key: The flag key
- reason: Why the flag was enabled/disabled
Example:
```python
result = hanzo_insights.get_feature_flag_result('beta-feature', 'distinct_id')
if result and result.enabled:
# Use the variant and payload
print(f"Variant: {result.variant}")
print(f"Payload: {result.payload}")
```
"""
return _proxy(
"get_feature_flag_result",
key=key,
distinct_id=distinct_id,
groups=groups or {},
person_properties=person_properties or {},
group_properties=group_properties or {},
only_evaluate_locally=only_evaluate_locally,
send_feature_flag_events=send_feature_flag_events,
disable_geoip=disable_geoip,
device_id=device_id,
)
def get_feature_flag_payload(
key,
distinct_id,
match_value=None,
groups=None, # type: Optional[dict]
person_properties=None, # type: Optional[dict]
group_properties=None, # type: Optional[dict]
only_evaluate_locally=False,
send_feature_flag_events=True,
disable_geoip=None, # type: Optional[bool]
device_id=None, # type: Optional[str]
) -> Optional[str]:
return _proxy(
"get_feature_flag_payload",
key=key,
distinct_id=distinct_id,
match_value=match_value,
groups=groups or {},
person_properties=person_properties or {},
group_properties=group_properties or {},
only_evaluate_locally=only_evaluate_locally,
send_feature_flag_events=send_feature_flag_events,
disable_geoip=disable_geoip,
device_id=device_id,
)
def get_remote_config_payload(
key, # type: str
):
"""Get the payload for a remote config feature flag.
Args:
key: The key of the feature flag
Returns:
The payload associated with the feature flag. If payload is encrypted, the return value will decrypted
Note:
Requires personal_api_key to be set for authentication
"""
return _proxy(
"get_remote_config_payload",
key=key,
)
def get_all_flags_and_payloads(
distinct_id,
groups=None, # type: Optional[dict]
person_properties=None, # type: Optional[dict]
group_properties=None, # type: Optional[dict]
only_evaluate_locally=False,
disable_geoip=None, # type: Optional[bool]
device_id=None, # type: Optional[str]
) -> FlagsAndPayloads:
return _proxy(
"get_all_flags_and_payloads",
distinct_id=distinct_id,
groups=groups or {},
person_properties=person_properties or {},
group_properties=group_properties or {},
only_evaluate_locally=only_evaluate_locally,
disable_geoip=disable_geoip,
device_id=device_id,
)
def feature_flag_definitions():
"""
Returns loaded feature flags.
Details:
Returns loaded feature flags, if any. Helpful for debugging what flag information you have loaded.
Examples:
```python
from hanzo_insights import feature_flag_definitions
definitions = feature_flag_definitions()
```
Category:
Feature flags
"""
return _proxy("feature_flag_definitions")
def load_feature_flags():
"""
Load feature flag definitions from the server.
Examples:
```python
from hanzo_insights import load_feature_flags
load_feature_flags()
```
Category:
Feature flags
"""
return _proxy("load_feature_flags")
def flush():
"""
Tell the client to flush all queued events.
Examples:
```python
from hanzo_insights import flush
flush()
```
Category:
Client management
"""
_proxy("flush")
def join():
"""
Block program until the client clears the queue. Used during program shutdown. You should use `shutdown()` directly in most cases.
Examples:
```python
from hanzo_insights import join
join()
```
Category:
Client management
"""
_proxy("join")
def shutdown():
"""
Flush all messages and cleanly shutdown the client.
Examples:
```python
from hanzo_insights import shutdown
shutdown()
```
Category:
Client management
"""
_proxy("flush")
_proxy("join")
def setup() -> Client:
global default_client
if not default_client:
if not api_key:
raise ValueError("API key is required")
default_client = Client(
api_key,
host=host,
debug=debug,
on_error=on_error,
send=send,
sync_mode=sync_mode,
personal_api_key=personal_api_key,
poll_interval=poll_interval,
disabled=disabled,
disable_geoip=disable_geoip,
feature_flags_request_timeout_seconds=feature_flags_request_timeout_seconds,
super_properties=super_properties,
# TODO: Currently this monitoring begins only when the Client is initialised (which happens when you do something with the SDK)
# This kind of initialisation is very annoying for exception capture. We need to figure out a way around this,
# or deprecate this proxy option fully (it's already in the process of deprecation, no new clients should be using this method since like 5-6 months)
enable_exception_autocapture=enable_exception_autocapture,
log_captured_exceptions=log_captured_exceptions,
enable_local_evaluation=enable_local_evaluation,
capture_exception_code_variables=capture_exception_code_variables,
code_variables_mask_patterns=code_variables_mask_patterns,
code_variables_ignore_patterns=code_variables_ignore_patterns,
in_app_modules=in_app_modules,
)
# always set incase user changes it
default_client.disabled = disabled
default_client.debug = debug
return default_client
def _proxy(method, *args, **kwargs):
"""Create an analytics client if one doesn't exist and send to it."""
setup()
fn = getattr(default_client, method)
return fn(*args, **kwargs)
class Insights(Client):
"""Hanzo Insights client for product analytics."""
pass