This is a singer tap to query the Satismeter REST api. Exports the responses and response statistics.
You need your Satismeter Project ID
and need to create an API key
(also called Read key). This is described on the Satismeter docs for the Export responses api
The tap will query the Satismeter REST api to obtain all of the user responses, and the per-month statistics for your project.
For responses, the number of rows replicated equals the number of responses. The datasource is append-only style, the tap will keep track of the last replicated response to only replicate new responses (and it will only request responses later than that moment from the Satismeter api).
For response statistics, the number of rows replicated equals the number of months. The tap will keep track of which month it has requested, and will continue from then on (it will always requery for the current month).
There are no rate limits enforced on the side of Satismeter api, but the tap has a rate limit of requests to Satismeter of 1 per 5 seconds, and each request has a 30 seconds timeout.
- Responses
- Table name: responses
- Description: all of the user responses
- Primary key column(s): id
- Replicated fully or incrementally (uses a bookmark to maintain state): incrementally, based on the
created
field - Bookmark column(s): (if replicated incrementally) : created
- Link to API endpoint documentation: Satismeter Export Responses API
Add the project id and api key for Satismeter in tap_satismeter/config.json
.
Install the tap and its dependancies:
pip install -e .
cd tap_satismeter
Generate a catalog file which describes the included object stream schemas:
python __init__.py -c ../config.json --discover > catalog.json
Run the tap:
python __init__.py -c ../config.json --catalog catalog.json > output.json
This tap is compatible to run with pipelinewise. Use this configuration yaml for it:
---
id: "satismeter"
name: "Satismeter"
type: "tap-satismeter"
owner: "mathieu@example.com"
db_conn:
project_id: "{PROJECT_ID}"
api_key: "{API_KEY}"
start_date: "{START_DATE}"
user_agent: "{USER_AGENT}"
target: "<your_target>"
batch_size_rows: 1000
default_target_schema: "<your_target_db_schema>"
schemas:
- source_schema: "satismeter"
target_schema: "<your_target_db_schema>"
tables:
- table_name: "responses"