Skip to main content

Delighted API Python Client.

Project description

[![Build Status](https://img.shields.io/travis/delighted/delighted-python.svg)](https://travis-ci.org/delighted/delighted-python)

# Delighted API Python Client (Beta)

Official Python client for the [Delighted API](https://delighted.com/docs/api).

## Installation

```
pip install --upgrade delighted-python
```

or

```
easy_install --upgrade delighted-python
```

## Configuration

To get started, you need to configure the client with your secret API key.

```python
import delighted
delighted.api_key = 'YOUR_API_KEY'
```

For further options, read the [advanced configuration section](#advanced-configuration).

**Note:** Your API key is secret, and you should treat it like a password. You can find your API key in your Delighted account, under *Settings* > *API*.

## Usage

Adding/updating people and scheduling surveys:

```python
# Add a new person, and schedule a survey immediately
person1 = delighted.Person.create(email='foo+test1@delighted.com')

# Add a new person, and schedule a survey after 1 minute (60 seconds)
person2 = delighted.Person.create(email='foo+test2@delighted.com', delay=60)

# Add a new person, but do not schedule a survey
person3 = delighted.Person.create(email='foo+test3@delighted.com', send=False)

# Add a new person with full set of attributes, including a custom question
# product name, and schedule a survey with a 30 second delay
person4 = delighted.Person.create(
email='foo+test4@delighted.com',
name='Joe Bloggs',
properties={'customer_id': 123, 'country': 'USA',
'question_product_name': 'The London Trench'},
delay=30)

# Update an existing person (identified by email), adding a name, without
# scheduling a survey
updated_person1 = delighted.Person.create(email='foo+test1@delighted.com',
name='James Scott', send=False)
```

Unsubscribing people:

```python
# Unsubscribe an existing person
delighted.Unsubscribe.create(person_email='foo+test1@delighted.com')
```

Deleting pending survey requests

```python
# Delete all pending (scheduled but unsent) survey requests for a person, by email.
delighted.SurveyRequest.delete_pending(person_email='foo+test1@delighted.com')
```

Adding survey responses:

```python
# Add a survey response, score only
survey_response1 = delighted.SurveyResponse.create(person=person1.id,
score=10)

# Add *another* survey response (for the same person), score and comment
survey_response2 = delighted.SurveyResponse.create(person=person1.id,
score=5,
comment='Really nice.')
```

Retrieving a survey response:

```python
# Retrieve an existing survey response
survey_response3 = delighted.SurveyResponse.retrieve('123')
```

Updating survey responses:

```python
# Update a survey response score
survey_response4 = delighted.SurveyResponse.retrieve('234')
survey_response4.score = 10
survey_response4.save
# <delighted.SurveyResponse object at 0xabc123>

# Update (or add) survey response properties
survey_response4.person_properties = {'segment': 'Online'}
survey_response4.save
# <delighted.SurveyResponse object at 0xabc123>

# Update person who recorded the survey response
survey_response4.person = '321'
survey_response4.save
# <delighted.SurveyResponse object at 0xabc123>
```

Listing survey responses:

```python
# List all survey responses, 20 per page, first 2 pages
survey_responses_page1 = delighted.SurveyResponse.all
survey_responses_page2 = delighted.SurveyResponse.all(page=2)

# List all survey responses, 20 per page, expanding person object
survey_responses_page1_expanded = delighted.SurveyResponse.all(expand=['person'])
survey_responses_page1_expanded[0].person
# <delighted.Person object at 0xabc123>

# List all survey responses, 20 per page, for a specific trend (ID: 123)
survey_responses_page1_trend = delighted.SurveyResponse.all(trend='123')

# List all survey responses, 20 per page, in reverse chronological order (newest first)
survey_responses_page1_desc = delighted.SurveyResponse.all(order='desc')

# List all survey responses, 100 per page, page 5, with a time range
filtered_survey_responses = delighted.SurveyResponse.all(page=5,
per_page=100,
since=datetime.datetime(2014, 03, 01),
until=datetime.datetime(2014, 04, 30))
```

Retrieving metrics:

```python
# Get current metrics, 30-day simple moving average, from most recent response
metrics = delighted.Metrics.retrieve

# Get current metrics, 30-day simple moving average, from most recent response,
# for a specific trend (ID: 123)
metrics = delighted.Metrics.retrieve(trend='123')

# Get metrics, for given range
metrics = delighted.Metrics.retrieve(since=datetime.date(2013, 10, 01),
until=datetime.date(2013, 11, 01))
```

## <a name="advanced-configuration"></a> Advanced configuration & testing

The following options are configurable for the client:

```python
delighted.api_key
delighted.api_base_url # default: 'https://api.delighted.com/v1'
delighted.http_adapter # default: delighted.HTTPAdapter
```

By default, a shared instance of `delighted.Client` is created lazily in `delighted.get_shared_client()`. If you want to create your own client, perhaps for test or if you have multiple API keys, you can:

```python
# Create an custom client instance, and pass as last argument to resource actions
import delighted
from delighted import Client
client = Client(api_key=‘API_KEY',
api_base_url=‘https://api.delighted.com/v1',
http_adapter=HTTPAdapter())
metrics_from_custom_client = delighted.Metrics.retrieve(client=client)

# Or, you can set Delighted.shared_client yourself
delighted.shared_client = delighted.Client(
api_key='API_KEY',
api_base_url='https://api.delighted.com/v1',
http_adapter=delighted.HTTPAdapter()
)
metrics_from_custom_shared_client = delighted.Metrics.retrieve()
```

## Supported versions

- 2.6, 2.7, 3.2, 3.3, 3.4
- pypy, pypy3

## Contributing

1. Fork it
2. Create your feature branch (`git checkout -b my-new-feature`)
3. Commit your changes (`git commit -am 'Add some feature'`)
4. Push to the branch (`git push origin my-new-feature`)
5. Create new Pull Request

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

delighted-python-1.0.0-beta.tar.gz (7.8 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page