Some example metric batch sub folders. For example you might have one per source or subject, or whatever makes most sense to you really.
- bigquery: Example of a BigQuery metric batch.
- eirgrid: Example of a metric batch that uses a custom python
ingest_fn
parameter to just use python to create aningest()
function that returns a pandas df. - example_jinja: Example of a metric batch that uses Jinja templating.
- example_simple: Example of a simple metric batch.
- example_sql_file: Example of a metric batch that uses a SQL file.
- freq: Example of a metric batch that uses the
freq
parameter. - gsod: Example of a metric batch that uses GSOD data from BigQuery.
- gtrends: Example of a metric batch that uses Google Trends data from BigQuery.
- hackernews: Example of a metric batch that uses the Hacker News API.
- netdata: Example of a metric batch that uses the Netdata API.
- netdata_httpcheck: Example of a metric batch that uses the Netdata API to check the status of a website.
- python: Example of a metric batch that uses a custom python
ingest_fn
parameter to just use python to create aningest()
function that returns a pandas df. - s3: Example of a metric batch that uses S3.
- sales: Example of a metric batch that uses a SQL file.
- snowflake: Example of a metric batch that uses Snowflake.
- tomtom: Example of a metric batch that uses the TomTom API.
- users: Example of a metric batch that uses a SQL file.
- weather: Example of a metric batch that uses Open Meteo data.
- weather_forecast: Example of a metric batch that uses weather forecast data from Snowflake.
- yfinance: Example of a metric batch that uses the Yahoo Finance API.
.
├── README.md
├── bigquery
│ ├── README.md
│ └── bigquery_example_simple
│ ├── README.md
│ └── bigquery_example_simple.yaml
├── eirgrid
│ ├── README.md
│ ├── eirgrid.py
│ └── eirgrid.yaml
├── example_jinja
│ ├── README.md
│ └── example_jinja.yaml
├── example_simple
│ ├── README.md
│ └── example_simple.yaml
├── example_sql_file
│ ├── README.md
│ ├── example_sql_file.sql
│ └── example_sql_file.yaml
├── freq
│ ├── README.md
│ └── freq.yaml
├── gsod
│ ├── README.md
│ ├── gsod.sql
│ └── gsod.yaml
├── gtrends
│ ├── README.md
│ ├── gtrends.sql
│ └── gtrends.yaml
├── hackernews
│ ├── README.md
│ ├── hn_top_stories_scores.py
│ └── hn_top_stories_scores.yaml
├── netdata
│ ├── README.md
│ ├── netdata.py
│ └── netdata.yaml
├── netdata_httpcheck
│ ├── netdata_httpcheck.py
│ └── netdata_httpcheck.yaml
├── python
│ ├── README.md
│ └── python_ingest_simple
│ ├── README.md
│ ├── ingest.py
│ └── python_ingest_simple.yaml
├── s3
│ ├── README.md
│ └── s3_example_simple
│ ├── README.md
│ └── s3_example_simple.yaml
├── sales
│ ├── README.md
│ ├── sales.sql
│ └── sales.yaml
├── snowflake
│ ├── README.md
│ └── snowflake_example_simple
│ ├── README.md
│ └── snowflake_example_simple.yaml
├── tomtom
│ ├── README.md
│ ├── tomtom.py
│ └── tomtom.yaml
├── users
│ ├── README.md
│ ├── users.sql
│ └── users.yaml
├── weather
│ ├── README.md
│ ├── ingest_weather.py
│ └── weather.yaml
├── weather_forecast
│ ├── README.md
│ ├── weather_forecast.sql
│ └── weather_forecast.yaml
└── yfinance
├── README.md
├── yfinance.py
└── yfinance.yaml
25 directories, 58 files