Data Subject Request API Version 1 and 2
Data Subject Request API Version 3
Platform API Overview
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ComposeID
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mParticle JSON Schema Reference
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AMP SDK
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Web
Android
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Initialization
Configuration
Event Tracking
User Attributes
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Kits
Application State and Session Management
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Upgrade to Version 7
Getting Started
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Getting Started
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Error Tracking
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Identity
Location Tracking
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Initialization
Configuration
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Event Tracking
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Location Tracking
Media
Kits
Application State and Session Management
Data Privacy Controls
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Opt Out
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API Reference
Upgrade to Version 2 of the SDK
Getting Started
Identity
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Alexa
Node SDK
Go SDK
Python SDK
Ruby SDK
Java SDK
Overview
Step 1. Create an input
Step 2. Verify your input
Step 3. Set up your output
Step 4. Create a connection
Step 5. Verify your connection
Step 6. Track events
Step 7. Track user data
Step 8. Create a data plan
Step 9. Test your local app
Overview
Step 1. Create an input
Step 2. Verify your input
Step 3. Set up your output
Step 4. Create a connection
Step 5. Verify your connection
Step 6. Track events
Step 7. Track user data
Step 8. Create a data plan
Step 1. Create an input
Step 2. Create an output
Step 3. Verify output
Introduction
Outbound Integrations
Firehose Java SDK
Inbound Integrations
Compose ID
Data Hosting Locations
Glossary
Rules Developer Guide
API Credential Management
The Developer's Guided Journey to mParticle
Create an Input
Start capturing data
Connect an Event Output
Create an Audience
Connect an Audience Output
Transform and Enhance Your Data
The new mParticle Experience
The Overview Map
Introduction
Data Retention
Connections
Activity
Live Stream
Data Filter
Rules
Tiered Events
mParticle Users and Roles
Analytics Free Trial
Troubleshooting mParticle
Usage metering for value-based pricing (VBP)
Introduction
Sync and Activate Analytics User Segments in mParticle
User Segment Activation
Welcome Page Announcements
Project Settings
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Analytics Data Manager Overview
Events
Event Properties
User Properties
Revenue Mapping
Export Data
UTM Guide
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Query Builder Overview
Modify Filters With And/Or Clauses
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Query Notes
Filter Where Clauses
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Apply All for Filter Where Clauses
Date Range and Time Settings Overview
Understanding the Screen View Event
Analyses Introduction
Getting Started
Visualization Options
For Clauses
Date Range and Time Settings
Calculator
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Frequency in Segmentation
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Save Your Segmentation Analysis
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Explore Users from Segmentation
Getting Started with Funnels
Group By Settings
Conversion Window
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Visualization Options
Interpreting a Funnel Analysis
Group By
Filters
Conversion over Time
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Trends
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Analyze as Cohort from Funnel
Save a Funnel Analysis
Explore Users from a Funnel
Export Results from a Funnel
Saved Analyses
Manage Analyses in Dashboards
Dashboards––Getting Started
Manage Dashboards
Dashboard Filters
Organize Dashboards
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Time and Interval Settings in Dashboards
Query Notes in Dashboards
User Aliasing
The Demo Environment
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Analytics for Product Managers
Compare Conversion Across Acquisition Sources
Analyze Product Feature Usage
Identify Points of User Friction
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Optimize User Flow with A/B Testing
User Segments
IDSync Overview
Use Cases for IDSync
Components of IDSync
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Identify Users
Default IDSync Configuration
Profile Conversion Strategy
Profile Link Strategy
Profile Isolation Strategy
Best Match Strategy
Aliasing
Overview
Create and Manage Group Definitions
Introduction
Catalog
Live Stream
Data Plans
Blocked Data Backfill Guide
Predictive Attributes Overview
Create Predictive Attributes
Assess and Troubleshoot Predictions
Use Predictive Attributes in Campaigns
Predictive Audiences Overview
Using Predictive Audiences
Introduction
Profiles
Warehouse Sync
Data Privacy Controls
Data Subject Requests
Default Service Limits
Feeds
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Approved Sub-Processors
Import Data with CSV Files
CSV File Reference
Glossary
Video Index
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Setup Examples
Introduction
Introduction
Introduction
Rudderstack
Google Tag Manager
Segment
Advanced Data Warehouse Settings
AWS Kinesis (Snowplow)
AWS Redshift (Define Your Own Schema)
AWS S3 (Snowplow Schema)
AWS S3 Integration (Define Your Own Schema)
BigQuery (Snowplow Schema)
BigQuery Firebase Schema
BigQuery (Define Your Own Schema)
GCP BigQuery Export
Snowflake (Snowplow Schema)
Snowplow Schema Overview
Snowflake (Define Your Own Schema)
Aliasing
The Python SDK is a helper library for the mParticle Events HTTP API that exposes the mParticle schema as simple models and provides an HTTP client interface. This SDK is stateless and only sends the data that you populate, whereas our mobile SDKs automatically collect app and device information, session events, install events, and maintain persistence.
Though the SDK may work on earlier versions of Python, we officially support Python version 3.5 or higher.
Read this page for a general overview and examples, visit the Python SDK repo), and if needed, contact our customer support team to make sure you’re feeding the platform with the right data to power your integrations.
All data sent via the SDK must be encapsulated in a Batch object. Each Batch is associated with a single user. Batch objects must be associated with an environment (production or development) to properly silo your testing and production data.
import mparticle
batch = mparticle.Batch()
batch.environment = 'development'Most use-cases require that data be associated with a user identity, for example:
identities = mparticle.UserIdentities()
identities.customerid = '123456'
identities.email = 'user@example.com'
batch.user_identities = identitiesThe DeviceInformation object describes a mobile device that should be associated with this batch. Crucially, it exposes properties for device identities (Apple IDFA and Google Advertising ID) which are required for nearly all mParticle Audience integrations.
device_info = mparticle.DeviceInformation()
# set any IDs that you have for this user
device_info.ios_advertising_id = '07d2ebaa-e956-407e-a1e6-f05f871bf4e2'
device_info.android_advertising_id = 'a26f9736-c262-47ea-988b-0b0504cee874'
batch.device_info = device_infoThe mParticle audience platform can be powered by only sending a combination of user attributes, used to describe segments of users, and device identities/user identities used to then target those users.
# arbitrary example allowing you to create a segment of users trial users
batch.user_attributes = {'Account type': 'trial', 'TrialEndDate':'2016-12-01'}Events are central to many of mParticle’s integrations; analytics integrations typically require events, and you can create mParticle Audiences based on the recency and frequency of different events. All events should be associated with a timestamp reflecting when they actually occurred, otherwise they will be assigned a timestamp when mParticle receives them.
App Events represent specific actions that a user has taken in your app. At minimum they require a name and a type, but can also be associate with a free-form dictionary of key/value pairs.
app_event = mparticle.AppEvent('Example', 'navigation', custom_attributes={'foo':'bar'})
app_event.timestamp_unixtime_ms = example_timestamp
batch.events = [app_event]The CommerceEvent is central to mParticle’s eCommerce measurement. CommerceEvents can contain many data points but it’s important to understand that there are 3 core variations:
Custom attributes can be added to both products and commerce events using the custom_attributes property, which accepts a dictionary of key/value pairs of strings.
product = mparticle.Product()
product.name = 'Example Product'
product.id = 'sample-sku'
product.price = 19.99
product.custom_attributes = {'color': 'red', 'size': 'small'} # optional dictionary containing custom attributes for the product
product_action = mparticle.ProductAction('purchase')
product_action.products = [product]
product_action.tax_amount = 1.50
product_action.total_amount = 21.49
commerce_event = mparticle.CommerceEvent(product_action)
commerce_event.timestamp_unixtime_ms = example_timestamp
commerce_event.custom_attributes = {'sale': 'true'} # optional dictionary containing custom attributes for the commerce event
batch.events = [commerce_event]The SessionStartEvent and SessionEndEvent should be used to describe the details of user session such as its length, which is a common metric used in many mParticle integrations. Additonally, length, recency, and frequency of sessions are powerful data-points by which an mParticle audience can be defined.
session_start = mparticle.SessionStartEvent()
session_start.session_id = 12345678
session_start.timestamp_unixtime_ms = example_timestamp
session_end = mparticle.SessionEndEvent()
session_end.session_id = session_start.session_id # its mandatory that these match
session_end.session_duration_ms = example_duration
session_end.timestamp_unixtime_ms = example_timestamp + example_duration
batch.events = [session_start, session_end]Use these events to represent the nuances of inter- and intra-session user-behavior with your app. Install events are crucial to power many attribution integrations and to judge the success of marketing campaigns.
install = mparticle.ApplicationStateTransitionEvent.create_install_event()
install.timestamp_unixtime_ms = example_timestamp
upgrade = mparticle.ApplicationStateTransitionEvent.create_upgrade_event()
upgrade.timestamp_unixtime_ms = example_timestamp
foreground = mparticle.ApplicationStateTransitionEvent.create_foreground_event()
foreground.timestamp_unixtime_ms = example_timestamp
background = mparticle.ApplicationStateTransitionEvent.create_background_event()
background.timestamp_unixtime_ms = example_timestampTo conform to the ever growing global regulations on data privacy, mParticle provides Data Privacy Controls.
Data privacy is configured in the dashboard and is attached via a batch’s consent_state.
ccpa_consent_state = mparticle.CCPAConsentState()
ccpa_consent_state.document = 'document_agreement.v3'
ccpa_consent_state.consented = True
ccpa_consent_state.timestamp_unixtime_ms = time.time_ns() // 1000000
ccpa_consent_state.location = 'mparticle.test/signup'
ccpa_consent_state.hardware_id = 'IDFA:a5d96n32-224a-3b11-1088-a202695bc710'
consent_state = mparticle.ConsentState()
consent_state.ccpa = {'data_sale_opt_out': ccpa_consent_state}
batch.consent_state = consent_stategdpr_consent_state = mparticle.GDPRConsentState()
gdpr_consent_state.document = 'document_agreement.v2'
gdpr_consent_state.consented = True
gdpr_consent_state.timestamp_unixtime_ms = time.time_ns() // 1000000
gdpr_consent_state.location = 'dtmgbank.com/signup'
gdpr_consent_state.hardware_id = 'IDFA:a5d934n0-232f-4afc-2e9a-3832d95zc702'
consent_state = mparticle.ConsentState()
consent_state.gdpr = {'My Purpose': gdpr_consent_state}
batch.consent_state = consent_stateIn this example, 'My Purpose' should match the Consent Purpose defined in your GDPR Setting
The SDK provides an interface to the mParticle HTTP API by way of the EventsApi class.
At minimum, the EventsApi must be initialized with an mParticle key and secret. You can find your mParticle key and secret by navigating to the Apps section of the mParticle platform UI.
You must associate your data with the correct key and secret. If your app is multi-platform, for example, be sure to send your Android data to your Android key/secret, and your iOS data to your iOS key/secret.
configuration = mparticle.Configuration()
configuration.api_key = 'REPLACE WITH APP KEY'
configuration.api_secret = 'REPLACE WITH APP SECRET'
configuration.debug = True #enable logging of HTTP trafficIf your workspace is in a pod other than US1, make sure to set the host to the appropriate URL.
# Example for the EU1 pod, replace eu1 with the pod's name
configuration.host = 'https://s2s.eu1.mparticle.com/v2'Finally, initialize the SDK with the configuration.
api_instance = mparticle.EventsApi(configuration)The EventsAPI class exposes two interfaces:
bulk_upload_events - Accepts up to 100 Batch objects for up to 100 users.upload_events - Accepts a single Batch object for a single usertry:
api_instance.upload_events(batch)
# you can also send multiple batches at a time to decrease the amount of network calls
#api_instance.bulk_upload_events([batch, batch])
except mparticle.rest.ApiException as e:
print(f'Exception while calling mParticle: %{e}\n')Was this page helpful?