OpenEEW for Python

This is the documentation for openeew, a Python package for working with all aspects of the OpenEEW initiative by Grillo.

Currently the package can be used to simplify selecting and downloading OpenEEW data stored as an AWS Public Dataset.

Contents

Installing

Requirements

Requires Python version 3.5 or later.

Installation

pip install openeew

openeew

openeew package

Subpackages
openeew.data package
Submodules
openeew.data.aws module
class openeew.data.aws.AwsDataClient(country_code, s3_client=None)

Bases: object

A client for downloading OpenEEW data stored as an AWS Public Dataset.

Initialize AwsDataClient with the following parameters:

Parameters:
  • country_code (str) – The ISO 3166 two-letter country code for which data is required. It is case-insensitive as the value specified will be converted to lower case.
  • s3_client (boto3.client.s3) – The S3 client to use to access OpenEEW data on AWS. If no value is given, an anonymous S3 client will be used.
country_code
Returns:ISO 3166 two-letter country code of the client (in lower case). Any data returned by the client will be for this country.
Return type:str
get_current_devices()

Gets currently-valid device metadata. Fields are the same as for get_devices_full_history().

Returns:A list of device metadata.
Return type:list[dict]
get_devices_as_of_date(date_utc)

Gets device metadata as of a chosen UTC date. Fields are the same as for get_devices_full_history().

Parameters:date_utc (str) – The UTC date with format %Y-%m-%d %H:%M:%S. E.g. ‘2018-02-16 23:39:38’.
Returns:A list of device metadata.
Return type:list[dict]
get_devices_full_history()

Gets full history of device metadata.

Returns:A list of device metadata. See Device metadata for information about the fields.
Return type:list[dict]
get_filtered_records(start_date_utc, end_date_utc, device_ids=None)

Returns accelerometer records filtered by date and device.

Parameters:
  • start_date_utc (str) – The UTC start date with format %Y-%m-%d %H:%M:%S. E.g. ‘2018-02-16 23:39:38’. Only records with a _RECORD_T equal to or greater than start_date_utc will be returned.
  • end_date_utc (str) – The UTC end date with same format as start_date_utc. Only records with a _RECORD_T equal to or less than end_date_utc will be returned.
  • device_ids (Union[str, list[str]]) – Device IDs that should be returned.
Returns:

A list of records, where each record is a dict obtained from the stored JSON value. For details about the JSON records, see Data fields for further information about how records are stored.

Return type:

list[dict]

class openeew.data.aws.DateTimeKeyBuilder(year, month=None, day=None, hour=None, minute=None)

Bases: object

A class for building the datetime part of keys that are organized by a hierarchy that can include year, month, day, hour and minute. The year part of the key must contain the century, i.e. YYYY, and other parts are zero-padded decimals, e.g. 01, 02 etc. An example of such a key template would be “year={}/month={}/day={}/hour={}/{}”.

Initialize DateTimeKeyBuilder with the following parameters, which are concatenated together in order of increasing granularity to form key template:

Parameters:
  • year (str) – Year part of key template, e.g. “year={}/”. Must contain {} for year replacement, where year will be added as YYYY, e.g. 2020.
  • month (str) – Optional month part of key template, e.g. “month={}/”. Must contain {} for month replacement, where month will be added as zero-padded number, i.e. 01, 02, …, 12.
  • day (str) – Optional day part of key template, e.g. “day={}/”. Must contain {} for day replacement, where day will be added as zero-padded number, i.e. 01, 02, …, 31.
  • hour (str) – Optional hour part of key template, e.g. “hour={}/”. Must contain {} for hour replacement, where hour will be added as zero-padded number, i.e. 00, 01, …, 23.
  • minute (str) – Optional minute part of key template, e.g. “{}”. Must contain {} for minute replacement, where minute will be added as zero-padded number, i.e. 00, 01, …, 59.
get_key_prefixes_within_range(start_dt, end_dt)

Returns a list of key search prefixes for the given date range, where each prefix corresponds to one day.

Parameters:
  • start_dt (datetime.datetime) – The start of the datetime range.
  • end_dt (datetime.datetime) – The end of the datetime range.
Returns:

List of key search prefixes.

Return type:

list[str]

get_max_key(dt)

Returns maximum possible key value for given datetime.

Parameters:dt (datetime.datetime) – The datetime to build key for.
Returns:Key part corresponding to the datetime.
Return type:str
get_min_key(dt)

Returns minimum possible key value for given datetime.

Parameters:dt (datetime.datetime) – The datetime to build key for.
Returns:Key part corresponding to the datetime.
Return type:str
template_parts
Returns:A list of strings containing the defined template parts, in the following order: year, month, day, hour and minute. The length of list depends on which parts have been specified.
Return type:list[str]
openeew.data.df module
openeew.data.df.get_df_from_records(records, ref_t_name='cloud_t', ref_axis='x')

Returns a pandas DataFrame from a list of records.

Parameters:
  • records (list[dict]) – The list of records from which to create a pandas DataFrame.
  • ref_t_name (str) – The name of the time field to use as a reference when calculating sample times. This should be either cloud_t or device_t.
  • ref_axis (str) – The axis to use when determining the number of sample points in each record.
Returns:

A pandas DataFrame with columns the same as the keys of each record and an additional sample_t column giving an individual timestamp to each of the x, y and z array elements.

Return type:

pandas.DataFrame

openeew.data.record module
openeew.data.record.add_sample_t(record, ref_t_name, ref_axis)

Adds a list of sample times to a record corresponding to each sample point in the record.

Parameters:
  • record (dict) – The record to which to add sample times.
  • ref_t_name (str) – The name of the time field to use as a reference when calculating sample times. This should be either cloud_t or device_t.
  • ref_axis (str) – The axis to use when determining the number of sample points in the record.
Returns:

A record with additional sample_t field containing list of sample times.

Return type:

dict

openeew.data.record.add_sample_t_to_records(records, ref_t_name, ref_axis)

Adds sample_t field to each record in a list of records.

Parameters:
  • records (list[dict]) – The list of records to which to add sample times.
  • ref_t_name (str) – The name of the time field to use as a reference when calculating sample times. This should be either cloud_t or device_t.
  • ref_axis (str) – The axis to use when determining the number of sample points in each record.
Returns:

A list of records with additional sample_t field containing list of sample times.

Return type:

list[dict]

openeew.data.record.get_sample_t(ref_t, idx, num_samples, sr)

Calculates Unix time for individual sample point (within a record). The sample point time is calculated by subtracting a multiple of 1/sr from the reference time corresponding to the final sample point in the record, where sr is the sample rate.

Parameters:
  • ref_t (float) – The Unix time to use as a basis for the calculation.
  • idx (int) – The zero-based index of the sample point within the record.
  • num_samples (int) – The number of sample points within the record.
  • sr (float) – The sample rate (per second) of the record.
Returns:

An estimated Unix time corresponding to the sample point.

Return type:

float

Module contents

This module provides a means to work with OpenEEW data.

Module contents

License

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Changelog

openeew uses Semantic Versioning

Unreleased

  • Allow to get number of sample points in a record using general axis labels
  • Pass single device ID as string when retrieving records
  • Filter records based on time field name in class attribute
  • Create async S3 client based on non-async S3 client metadata #10
  • Extract datetime logic to separate class #11

Version 0.5.0

  • Use one async client to download all files.

Version 0.4.0

  • Use asyncio to speed up downloading of files in AwsDataClient
  • Speed up search for S3 keys within specified date range
  • Updated some AwsDataClient method decorators

Version 0.3.0

  • Added df submodule to openeew.data. The method get_filtered_records_df of AwsDataClient in openeew.data.aws has been removed and instead the function get_df_from_records in openeew.data.df can be used to return a pandas DataFrame from a list of records.
  • Fixed/updated docstrings

Version 0.2.0

  • Added record submodule to openeew.data

Version 0.1.3

  • Fixed/updated docstrings
  • Removed Python 3.4 from requirements

Version 0.1.2

  • Initial version released on PyPI.

Contributing

OpenEEW for Python is an open source project and we are always happy to receive contributions from our community. You can contribute in different ways:

  • Writing tutorials and blog posts
  • Improving the documentation
  • Submitting bug reports and feature requests
  • Forking this repository and submitting a pull request

Contributing and Developer information

The community welcomes your involvement and contributions to this project. Please read the OpenEEW [contributing](https://github.com/openeew/openeew/blob/master/CONTRIBUTING.md) document for details on our code of conduct, and the process for submitting pull requests to the community.

Indices and tables