o tBh@sHddlmZddlmZmZddlZGdddeZGdddeZdS)) Collection)urlparseparse_qsNcsneZdZdZfddZddZddZdd Zdd d Zdd dZ dddZ fddZ fddZ Z S)PaginatedCollectiona A subclass of Collection which allows cycling through pages of data through cursor-based pagination. :next_page_url contains a url for fetching the next page :previous_page_url contains a url for fetching the previous page You can use next_page_url and previous_page_url to fetch the next page of data by calling Resource.find(from_=page.next_page_url) cs|dd}|d}t|tr&|r||jn|j}tt|j||dntt|j|d|p0ii|d|jvr>td| |jd<|jd dd|_ |jd d d|_ d|_ d|_d|_|d d |_dS) zBIf given a Collection object as an argument, inherit its metadata.metadataNr)rresource_classzNCursor-based pagination requires a "resource_class" attribute in the metadata. paginationnextprevious no_iter_nextT)pop isinstancerupdatersuperr__init__AttributeError&_PaginatedCollection__parse_paginationget next_page_urlprevious_page_url_next _previous _current_iter _no_iter_next)selfargskwargsrobj __class__i/var/www/html/riverr-enterprise-integrations-main/venv/lib/python3.10/site-packages/shopify/collection.pyrs"   zPaginatedCollection.__init__cCszd|jvriS|jdd|jddd}|duriSi}|dD]}|d\}}|dd||dd<q$|S) NheadersLinklinkz, z; ")rrsplit)rvaluesresultvaluer$relr r r!__parse_pagination,s  z&PaginatedCollection.__parse_paginationcC t|jS)zBReturns true if the current page has any previous pages before it.)boolrrr r r!has_previous_page: z%PaginatedCollection.has_previous_pagecCr.)zKReturns true if the current page has any pages beyond the current position.)r/rr0r r r! has_next_page>r2z!PaginatedCollection.has_next_pageFcC*|jr|jS|std||j|S)zReturns the previous page of items. Args: no_cache: If true the page will not be cached. Returns: A PaginatedCollection object with the new data set. zNo previous page)rr1 IndexError _PaginatedCollection__fetch_pagerrno_cacher r r! previous_pageB z!PaginatedCollection.previous_pagecCr4)zReturns the next page of items. Args: no_cache: If true the page will not be cached. Returns: A PaginatedCollection object with the new data set. z No next page)rr3r5r6rr7r r r! next_pagePr:zPaginatedCollection.next_pagecCs0|jdj|d}|s||_||j_|j|_|S)Nr)from_)rfindrrr)rurlr8r r r r! __fetch_page^s z PaginatedCollection.__fetch_pagec#sjtt|D]}|Vq|jrdSz|js||_||_|jD]}|Vq"WdSty4YdSw)z6Iterates through all items, also fetching other pages.N)rr__iter__rrr;r5)ritemrr r!r@fs   zPaginatedCollection.__iter__cs(|jr t|j}nd}|tt|S)zIf fetched count all the pages.r)rlenrr__len__)rcountrr r!rCxs zPaginatedCollection.__len__)F)__name__ __module__ __qualname____doc__rrr1r3r9r;r6r@rC __classcell__r r rr!rs     rc@s eZdZdZddZddZdS)PaginatedIteratora This class implements an iterator over paginated collections which aims to be more memory-efficient by not keeping more than one page in memory at a time. >>> from shopify import Product, PaginatedIterator >>> for page in PaginatedIterator(Product.find()): ... for item in page: ... do_something(item) ... # every page and the page items are iterated cCs$t|ts td||_d|j_dS)Nz8PaginatedIterator expects a PaginatedCollection instanceT)r r TypeError collectionr)rrLr r r!rs  zPaginatedIterator.__init__ccs8|j} |Vz|jdd}Wn tyYdSwq)z1Iterate over pages, returning one page at a time.T)r8N)rLr;r5)r current_pager r r!r@s zPaginatedIterator.__iter__N)rErFrGrHrr@r r r r!rJs rJ) pyactiveresource.collectionrsix.moves.urllib.parserrcgirobjectrJr r r r!s |