Skip to main content

Controls the workflow of map and infographic production

Project description

About

Master branch Build Status Coverage Status

Installing

To install for development purposes: Clone the github repo then from the root of your local clone:

python -m pip install --user -e .

To install for use non-development purposes: Clone the github repo then from the root of your local clone:

python -m pip install .

todo: [] enable installation via pypi.

Usage

Using the MapRecipe, CrashMoveFolder and Event classes

There are three classes which are designed for reuse in other modules. For each of these there is a corresponding json representation. There should not be any need for any other code to touch these json files:

  • MapRecipe : An object that represents a recipe (as read from a json file).
    This object may be manipulated by (e.g. the data_search tool, updates the datasources fields )
  • CrashMoveFolder : An object that describes the CrashMoveFolder and its contents. There should be no need to hardcode any path (absolute or relative) to anywhere in a crash move folder
  • Event : This decribes the real-world humanitarian event to which the Crash Move Folder corresponds.

(Note1:) The name Event matches the naming of the equivalent concept on the Map & Data Respository (see https://github.com/mapaction/ckanext-mapactionevent). However it is rather too generic in this context. A more descriptive name for this class would be helpful.

(Note2: in the MapExportTool the information within the CrashMoveFolder and Event used to be encapsulated in the operational_config.xml file. This mixed state about the event/emergency and configuration about the local paths to and within the crash move folder. )

Using the DataNameConvention and related classes

DataNameConvention represents the convention itself. At its core is a regular expression. Each named group (clause) within the Regex as additionally validation, which is implemented by a DataNameClause. DataNameConvention has a dictionary of DataNameClause objects. A individual name is tested by using the .validate(data_name_str) method. If the data name does not match the regex the value None is returned. If the regex matches a DataNameInstance object will be returned, whether or not all of the clauses pass.

DataNameClause is an abstract class. Callers are unlikely to need to directly access this class or any concrete examples. Concrete examples are DataNameFreeTextClause and DataNameLookupClause. When the .validate(data_name_str) method is called on a DataNameConvention object, it will call .validate(clause_str) in each individual DataNameClause obj.

DataNameResult represents the result of a specific data name test and is returned by DataNameConvention.validate(). The .is_valid property indicates whether or not all of the clauses validate. DataNameResult is a namedtuple. The values for individual clauses can be directly accessed using dotted property notation (eg via members such as dnr.datatheme.Description or dnr.source.Organisation. If whether or not the clause validated is returned by the .is_valid property (eg . dnr.datatheme.is_valid).

Example code:

dnc = DataNameConvention(path_to_dnc_json_definition)

# regex does not match
dnr = dnc.validate('abcde')
self.assertIsNone(dnr)

# regex does matches, but some clauses fail lookup in csv file
dnr = dnc.validate(r'aaa_admn_ad3_py_s0_wfp_pp')

if dnr.is_valid:
	print('the dataname is valid')
else:
	print('the dataname is not valid')
	
# use the `_asdict()` method to loop through all clauses
for clause in dnr._asdict().values():
	clause_details = dni.clause(clause)
	if clause_details:
		print('The extra information associated with clause name {} are {}'.format(clause, clause_details)
	else:
		print('The erroneous value for clause {} was {} '.format(clause, clause_details)

# Use the dnr object in template strings
print('The {dnr.datatheme.Description} data was generously supplied by {dnr.source.Organisation}, downloaded '
	'from {dnr.source.url}'.format(dnr=dnr))

Output:

The erroneous value for clause `geoext` was `aaa`
Extra information associated with clause `scale`:
    Description = Global mapping
    Scale_range = ? 5 000 000
Extra information associated with clause `freetext`:
    text = None
Extra information associated with clause `perm`:
    Description = Data public - Products public
Extra information associated with clause `source`:
    url =
    Organisation = World Food Program
    admn1PCode =
    admn2Name =
    admn2PCode =
    admn1Name =
Extra information associated with clause `datacat`:
    Description = Admin
Extra information associated with clause `geom`:
    Description = Polygon / area
Extra information associated with clause `datatheme`:
    Category = admn
    Description = Administrative boundary (level 3)


The Administrative boundary (level 3) data was generously supplied by World Food Program, downloaded from https://www.wfp.org/

Using the Data Serach tool from the commandline

> python.exe data_search.py
usage: data_search.py [-h] -r FILE -c FILE [-o FILE]
data_search.py: error: the following arguments are required: -r/--recipe-file, -c/--cmf
> python data_search.py -r example/product_bundle_example.json -c example/cmf_description.json

This command will output an updated recipe file with the If the ouput file parameter (-o) is specified than the updated recipe will be output to that file. Otherwise the updated recipe is sent to stdout.

Tests

The test coverage appears OK (~86%). However this risks overstating the effectiveness of these tests with only a few error conditions included at present.

Further development

In no particular order:

[] Improve the constructors for the Event and CrashMoveFolder classes. It should be possible to round-robin between the instance and the json representation. eg there should be tests which look something like this:

    assert my_event == Event.fromJOSN(my_event.toJSON())
    assert my_cmf == CrashMoveFolder.fromJOSN(my_cmf.toJSON())

The jsonpickle module is particularly well suited for this.

[] Implement json schema validation for the various json files.

[] CrashMoveFolder class should check for the existance of all of the subdirectories in the constructor.

[] Replace debug print statements with output to a logging library - to ensure that standard output is not corrupted with error/debug messages.

[] Better name for the Event class

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

mapactionpy_controller-0.2.dev131.tar.gz (12.9 kB view details)

Uploaded Source

File details

Details for the file mapactionpy_controller-0.2.dev131.tar.gz.

File metadata

  • Download URL: mapactionpy_controller-0.2.dev131.tar.gz
  • Upload date:
  • Size: 12.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.14.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/2.7.15

File hashes

Hashes for mapactionpy_controller-0.2.dev131.tar.gz
Algorithm Hash digest
SHA256 786a1c67ed75c8d132f8f5db2af20bae1a5e6e2d94b981c7b279dfe8f93fe7c7
MD5 fb72837a4204e70456ffc9c8fbfd9440
BLAKE2b-256 50ce3b4859a5df3f4182b1d7b6e2a56a754ecae6a11155702eb0cfbbfdeae2f2

See more details on using hashes here.

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