Isogeo Python SDK
3.10.0

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Isogeo Python SDK
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  • isogeo_pysdk.api.routes_search module
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isogeo_pysdk.api.routes_search module

Isogeo API v1 - API Routes for Search

See: http://help.isogeo.com/api/complete/index.html#definition-resource

class isogeo_pysdk.api.routes_search.ApiSearch(api_client=None)

Bases : object

Routes as methods of Isogeo API used to manipulate metadatas (resources).

add_tags_shares(search)

Add shares list to the tags attributes in search.

Paramètres:

search (MetadataSearch) – search to add shares

search(group=None, query='', share=None, specific_md=(), include=(), bbox=None, poly=None, georel=None, order_by='_created', order_dir='desc', page_size=20, offset=0, lang=None, augment=False, check=True, expected_total=None, tags_as_dicts=False, whole_results=False)

Search within the resources shared to the application. It’s the mainly used method to retrieve metadata.

Paramètres:
  • group (str) – context to search. Pass a workgroup UUID to search within a group or pass None (default) to search in a global context.

  • query (str) – search terms and semantic filters. Equivalent of q parameter in Isogeo API. It could be a simple string like oil or a tag like keyword:isogeo:formations or keyword:inspire-theme:landcover. The AND operator is applied when various tags are passed.

  • bbox (tuple) – Bounding box to limit the search. Must be a 4 tuple of coordinates in WGS84 (EPSG 4326). Could be associated with georel.

  • poly (str) – Geographic criteria for the search, in WKT format. Could be associated with georel.

  • georel (str) –

    geometric operator to apply to the bbox or poly parameters. Available values:

    • ”contains”,

    • ”disjoint”,

    • ”equals”,

    • ”intersects” - [APPLIED BY API if NOT SPECIFIED]

    • ”overlaps”,

    • ”within”.

  • order_by (str) –

    sorting results. Available values:

    • ”_created”: metadata creation date [DEFAULT if relevance is null]

    • ”_modified”: metadata last update

    • ’title”: metadata title

    • ’created”: data creation date (possibly None)

    • ”modified”: data last update date

    • ’relevance”: relevance score calculated by API [DEFAULT].

  • order_dir (str) –

    sorting direction. Available values:

    • ”desc”: descending

    • ’asc”: ascending

  • page_size (int) – limits the number of results. Useful to paginate results display. Default value: 100.

  • offset (int) – offset to start page size from a specific results index

  • share (str) – share UUID to filter on

  • specific_md (tuple) – list of metadata UUIDs to filter on

  • include (tuple) – subresources that should be returned. See: enums.MetadataSubresources.

  • whole_results (bool) – option to return all results or only the page size. False by DEFAULT.

  • check (bool) – option to check query parameters and avoid errors. True by DEFAULT.

  • augment (bool) – option to improve API response by adding some tags on the fly (like shares_id)

  • expected_total (int) – if different of None, value will be used to paginate. Can save a request.

  • tags_as_dicts (bool) – option to store tags as key/values by filter.

Type renvoyé:

MetadataSearch

Example:

# get the search context (without results), useful to populate a search widget
search_context = isogeo.search(page_size=0, whole_results=0, augment=1)

# search the 10 first results in alphabetically order
search_10 = isogeo.search(
    page_size=10,
    include="all",
    order_by="title",
    order_dir="asc",
    expected_total=search_context.total
)

# returns all results, filtering on vector-datasets
search_full = isogeo.search(
    query="type:vector-dataset",
    order_by="title",
    order_dir="desc",
    include="all",
    augment=1,
    whole_results=1
)
async search_metadata_asynchronous(total_results, max_workers=10, **kwargs)

Meta async method used to request big searches (> 100 results), using asyncio. It’s a private method launched by the main search method.

Paramètres:
  • total_results (int) – total of results to retrieve

  • max_workers (int) – maximum number of thread to use python.concurrent.futures

Type renvoyé:

MetadataSearch

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