bcodmo_frictionless

Custom dataflows processors and goodtables checks for BCODMO

To run the dpp command locally using the custom processors located in this repository, simply clone this reposistory and add the environment variable DPP_PROCESSOR_PATH. If this repository is located at $PROCESSOR_REPO, the environment variable will be $PROCESSOR_REPO/bcodmo_processors.

You can add environment variables manually using export DPP_PROCESSOR_PATH=$PUT_PATH_HERE or you can place all of your environment variables in a .env file and run the following commands:

set -a
source .env

Now when using dpp it will first look inside this repository when resolving processors.

If you want to get rid of the bcodmo_pipeline_processors prefix you can instead set DPP_PROCESSOR_PATH to $PROCESSOR_REPO/bcodmo_processors/bcodmo_pipeline_processors.

The BCODMO Processor Library

See https://github.com/frictionlessdata/datapackage-pipelines for documentation for standard processors.

bcodmo_pipeline_processors.load

Loads data into the package. Similar to the standard processor load.

Parameters:

• All parameters from the standard processor load
• missing_values - a list of values that are interpretated as missing data (nd) values. Defaults to ['']
• use_filename - use filename as resource name
• input_seperator - the string used to separate values in the from and name parameters for loading multiple resources with one processor. Defaults to ','
• remove_empty_rows - a boolean determining if empty rows (rows where all values are the empty string or None) are deleted. Defaults to false
• sheet_regex - a boolean determining if the sheet name from an xlsx/xls file should be processed with a regular expression

Other differences from the standard load:

• from and name can be a delimeter seperated list of sources/resource names.
• name is ignored if use_filename is set to True
• additional bcodmo-fixedwidth parser that takes in width and infer parameters
• if name is left empty the resource name will default to res{n} where n is the number of resources.
• if sheet_regex is used name will be ignored and the sheet will be the resource name, unless there are multiple from values, in which case the name will be {resource_name}-{sheet_name}
• sheet_regex can only be used with local paths

_Additional fixedwidth parser:

• width - width between columns
• infer - whether the width should be inferred
• parse_seabird_header - parse a .cnv seabird file. If infer is true, it will automatically set the field widths to 11 * len(header_row).
• seabird_capture_skipped_rows - a list of dictionaries with the keys "column_name" and "regex". The regex is applied to all skipped rows and matched rows are stored as a column
• seabird_capture_skipped_rows_join - a boolean determining if multiple matches should be joined or if they should each be in a seperate column (must be used with deduplicate_headers if false). Defaults to true
• seabird_capture_skipped_rows_join_string - the string to use to join multiple matches together (defaults to ;)
• fixedwidth_sample_size - the number of rows to sample to infer the width

See standard processor for examples.

bcodmo_pipeline_processors.concatenate

Concatenate a number of streamed resouces into a single resource. Similar to the standard processor concatenate.

Parameters:

• All parameters from the standard processor concatenate
• include_source_name - whether or not a source name should be included as a field in the resulting resource. Can be one of False, 'resource', 'path' or 'file'.
  • 'resource' will add the resource name as a field
  • 'path' will add the path or url that was originally used to load the resource
  • 'file' will add the filename from the original resource
• source_field_name - the name of the new field created by include_source_name. Required if include_source_name is not False

See standard processor for examples.

bcodmo_pipeline_processors.dump_to_path

Dump data to a path. Similar to the standard processor dump_to_path.

Parameters:

• All parameters from the standard processor dump_to_path
• save_pipeline_spec - whether or not the pipeline_spec.yaml file should also be saved in dump_to_path. Note that the entire pipeline's pipeline-spec.yaml file will be saved, regardless of where in the pipeline the dump_to_path processor lives.
• data_manager - the name and orcid of the datamanager who developed this pipeline. An object with a name key and an orcid key.

Other differences from the standard dump_to_path:

• an attempt is made to change file permissions to 775
• carriage return \r at line endings are removed

See standard processor for examples.

bcodmo_pipeline_processors.boolean_add_computed_field

Add a field computed using boolean values.

Parameters:

• resources - a list of resources to perform this operation on
• fields - a list of new_fields
  • functions - a list of functions for the new field
    • boolean- boolean string for this function. See notes for details on boolean string
    • value - the value to set if the boolean string evaluates as true
    • math_operation - a boolean to determine whether or not the value should be evaluated as a mathematical expression.
  • target - the name of the new field to be created
  • type - the type of the new field to be created

Notes:

• boolean string is made up of an number of conditions and boolean comparisons. Conditions are made up of comparison term, operator, comparision term. A comparison term can be a date, a number, a variable (contained within curly braces {}), a regular expression (contained within re''), a string (contained within single quotes ''), LINE_NUMBER, or null (can be one of None, NONE, null or NULL). An operator can be one of >=, >, <=, <, != or ==. Boolean comparison can be any one of AND, and, &&, OR, or, ||. All terms and operators must be seperated by spaces.
  • For example:
    • {lat} > 50 && {depth} != NULL
    • {species} == 's. pecies' OR {species} == NULL
• functions are evaluated in the order they are passed in. So if function 0 and function 3 both evaluate as true for row 30, the value in function 3 will show up in row 30.
• Regular expression can only be used with the == and != operators and must be compared to a string.
• Use curly braces {} to match field names in the row
• If math_operation is set to true, the operators +, -, *, / and ^ can be used to set the value to the result of a mathematical operation. Order of operations are as expected and parentheses can be used to group operations.
• Values will be interpreted based on the type. If a field of type string looks like '5313' it will not equal the number 5313, but rather only the string '5313'.

bcodmo_pipeline_processors.boolean_filter_rows

Filter rows with a boolean statement

Parameters:

• resources - a list of resources to perform this operation on
• boolean_statement - a single boolean statement. Only rows that pass the statement will be kept. See boolean_add_computed_field for details on boolean syntax.

Notes:

bcodmo_pipeline_processors.convert_date

Convert any number of fields containing date information into a single date field with display format and timezone options.

Parameters:

• resources - a list of resources to perform this operation on

• fields - a list of new_fields

  • output_field - the name of the output field
  • output_format - the python datetime format string for the output field
  • input_type - the input field type. One of 'python', 'decimalDay', 'decimalYear', "matlab", or 'excel'. If 'python', evaluate the input field/fields using python format strings. If 'excel', only take in a single input field and evaluate it as an excel date serial number. If 'matlab', also only take ina single input fioeld and evaluate and matlab datenum type. If 'decimalDay', interpret the input field as decimal between 0 and 365. Year must also be inputted. If 'decimalYear', interpret the input field as a decimal year (eg. 2015.1234). If 'decimalYear', decimal_year_start_day is required.
  • input_field - a single input field. Only use if input_type is 'excel'. Depecrated if input_type is 'python'.
  • decimal_year_start_day - the start day to use when interpreting a decimal year. Usually 1 or 0.

• boolean_statement - a single boolean statement. Only rows that pass the statement will be impacted. See boolean_add_computed_field for details on boolean syntax.

  the rest of the parameters are only relevant if input_type is 'python'

  • inputs - a list of input fields
    • field - the input field name
    • format - the format of this input field
  • input_timezone - the timezone to be passed to the datestring. Required if input_format does not have timezone information and timezone is used in the output (either through '%Z' in output_format or a value in output_timezone), otherwise optional
  • input_timezone_utc_offset - UTC offset in seconds. Optional
  • output_timezone - the output timezone
  • output_timezone_utc_offset - UTC offset for the output timezone. Optional
  • input_format - deprecated, for use with input_field if input_type is 'python'

Notes:

• The output type is string until the date type dump_to_path issue is resolved
• If the output_field already exists in the schema, the existing values will be overwritten

bcodmo_pipeline_processors.convert_to_decimal_degrees

Convert a single field containing coordinate information from degrees-minutes-seconds or degrees-decimal_minutes to decimal_degrees.

Parameters:

• resources - a list of resources to perform this operation on
• fields - a list of new_fields
  • input_field - the name of the input field
  • output_field - the name of the output field
  • input_format - the input format. One of 'degrees-minutes-seconds' or 'degrees-decimal_minutes'
  • pattern - the pattern for the input field. See notes for details
  • directional - the directional of the coordinate. Must be one of 'N', 'E', 'S', 'W'
• boolean_statement - a single boolean statement. Only rows that pass the statement will be impacted. See boolean_add_computed_field for details on boolean syntax.

Notes:

• pattern is made up of python regular expression named groups. The possible group names are 'directional', 'degrees', 'minutes', 'seconds', and 'decimal_minutes'. If the input_format is 'degrees-minutes-seconds' the groups 'degrees', 'minutes' and 'seconds' are required. If the input_format is 'degrees-decimal_minutes' the groups 'degrees' and 'decimal_minutes' are required. The 'directional' group is always optional.
• if 'directional' is passed in both through the pattern and the directional parameter, the directional parameter takes precendence.

bcodmo_pipeline_processors.remove_resources

Remove any number of resources from the pipeline

Parameters:

• resources - the resources to remove

bcodmo_pipeline_processors.rename_fields

Rename any number of fields

Parameters:

• resources - a list of resources to perform this operation on
• fields - a list of fields
  • old_field - the name of the field before it is renamed
  • new_field - the new name for the field

Notes:

• if new_field already exists as a field in the resource an error will be thrown

bcodmo_pipeline_processors.rename_fields_regex

Rename any number of fields using a regular expression

Parameters:

• resources - a list of resources to perform this operation on
• fields - a list of fields to perform this operation on
• pattern - regular expression patterns to be usedd
  • find - the find pattern for the old field name
  • replace - the replace pattern for the new field name

Notes:

• if the field name created by replace already exists in the resource an error will be thrown
• regular expressions are always python regular expressions

bcodmo_pipeline_processors.rename_resource

Rename a resource

Parameters:

-old_resource - the old name of the resource -new_resource - the new name of the resource

bcodmo_pipeline_processors.reorder_fields

Rename any number of fields using a regular expression

Parameters:

• resources - a list of resources to perform this operation on
• fields - the new order of fields

Notes:

• if a field does not exist in the resource an error will be thrown
• if the number of passed in fields does not match the number of fields in the resource an error will be thrown

bcodmo_pipeline_processors.round_fields

Round any number of fields

Parameters:

• resources - a list of resources to perform this operation on
• fields - a list of fields to perform this operation on
  • name - the name of the field to round
  • digits - the number of digits to round the field to
  • preserve_trailing_zeros - whether trailing zeros should be preserved
  • maximum_precision - whether values with precision lower than digits should be rounded
  • convert_to_integer - whether the field should be converted to an integer
• boolean_statement - a single boolean statement. Only rows that pass the statement will be impacted. See boolean_add_computed_field for details on boolean syntax.

Notes:

• As of v1.0.3, round_fields works on ONLY number types.
• if attempted to use on an incorrect field type an error will be thrown
• convert_to_integer parameter will only work if digits is set to 0

bcodmo_pipeline_processors.split_column

Split a field into any number of other fields

Parameters:

• resources - a list of resources to perform this operation on
• fields - a list of fields to perform this operation on
  • input_field - the name of the field to split
  • output_fields - the names of the output fields
  • pattern - the pattern to match the input_field. Use python regular expression matches (denoted by parentheses) to capture values for output_fields. Use pattern or delimiter.
  • delimiter - the regex delimiter on which to split the input_field. Use pattern or delimiter.`
• delete_input - whether the input_field should be deleted after the output_fields are created
• boolean_statement - a single boolean statement. Only rows that pass the statement will be impacted. See boolean_add_computed_field for details on boolean syntax.

Notes:

• all new fields will be typed as strings
• the number of matches in pattern must equal the number of output fields in output_fields

bcodmo_pipeline_processors.find_replace

Find and replace regular expression within a field. Same as standard processor other than boolean.

Parameters:

• All parameters from the standard processor find_replace
• boolean_statement - a single boolean statement. Only rows that pass the statement will be impacted. See boolean_add_computed_field for details on boolean syntax.

Notes:

bcodmo_pipeline_processors.string_format

Format a string using python string formatting

Parameters:

• resources - a list of resources to perform this operation on
• fields - a list of fields to perform this operation on
  • input_field - the name of the field to split
  • output_field - the name of the output field
  • input_string - the input string to be used in the python format function
  • input_fields - the fields to be passed as arguments in the python format function
• boolean_statement - a single boolean statement. Only rows that pass the statement will be impacted. See boolean_add_computed_field for details on boolean syntax.

Notes:

• all new fields will be typed as strings
• the input types are important. If the field you're trying to format is an integer, you have to use something like {0:03d}. If it is a float (number), you have to use {0:03f}, etc.

bcodmo_pipeline_processors.find_replace

Find and replace regular expression within a field. Same as standard processor other than boolean.

Parameters:

• All parameters from the standard processor find_replace
• boolean_statement - a single boolean statement. Only rows that pass the statement will be impacted. See boolean_add_computed_field for details on boolean syntax.

Notes:

bcodmo_pipeline_processors.extract_nonnumeric

Extract nonnumeric values from fields into a new a field

Parameters:

• fields - A list of strings
• suffix - The suffix to be added to create a field where the string is stored
• boolean_statement - a single boolean statement. Only rows that pass the statement will be impacted. See boolean_add_computed_field for details on boolean syntax.

Notes: