5j!SSKJrJr SSKJr SSKJr SSKJr \(a SSK r SSKJ r S\RSSSSSSSS SSSSS4S \S \\\ 4S \S \S\S\S\S\S\S\S\S\S\S\SSSS4 Sjjrg)) TYPE_CHECKINGUnion)content)OptStr)ViewsN)ExtendedParams queryviewfilterorder_byboostselecttopskipgroup_by group_countfeaturesscopeterms navigatorsextended_paramsr returnz pd.DataFramec[RRUUUUUUUUUU U U U U US9R5RR $)a The search service identifies a matching set of documents which satisfy the caller's criteria, sorts it, and selects a subset of the matches to return as the result set. Each step can be controlled via parameters. Parameters ---------- query: str, optional Keyword argument for view view: Views or str, optional The view for searching see at Views enum. Default: Views.SEARCH_ALL filter: str, optional Where query is for unstructured end-user-oriented restriction, filter is for structured programmatic restriction. order_by: str, optional Defines the order in which matching documents should be returned. boost: str, optional This argument supports exactly the same predicate expression syntax as filter, but where filter restricts which documents are matched at all, boost just applies a large scoring boost to documents it matches, which will almost always guarantee that they appear at the top of the results. select: str, optional A comma-separated list of the properties of a document to be returned in the response. top: int, optional the maximum number of documents to retrieve. Must be non-negative. default: 10 skip: int, optional The number of documents to skip in the sorted result set before returning the next top. group_by: str, optional If specified, this must name a single Groupable property. returned documents are grouped into buckets based on their value for this property. group_count: str, optional When supplied in combination with group_by, sets the maximum number of documents to be returned per bucket. default: 3 navigators: str, optional This can name one or more properties, separated by commas, each of which must be Navigable. Example: "HullType" features: str, optional Comma-separated list of flags, typically niche or experimental things which most callers won't want scope: str, optional Name of a `Symbol` property against which `Terms` will be matched Example: "RIC" terms: str, optional Comma-separated list of up to 5000 symbols to be matched against the `Scope` property Example": "A,B,C,D" extended_params : dict, optional Other parameters can be provided if necessary Examples -------- >>> import lseg.data as ld >>> df1 = ld.discovery.search(query="cfo", view=ld.discovery.Views.PEOPLE) >>> # What's the general distribution of earnings per share in the 0-20 range using fixed-value-width bucket ranges? >>> df2 = ld.discovery.search( ... view=ld.discovery.Views.EQUITY_QUOTES, ... top=0, ... filter="Eps gt 0 and Eps lt 20", ... navigators="Eps(type:histogram,buckets:4)" ... ) >>> # Top ten currencies for govcorp bonds, ranked by total outstanding value, along with the maximum coupon of each. >>> df3 = ld.discovery.search( ... view=ld.discovery.Views.GOV_CORP_INSTRUMENTS, ... top=0, ... navigators="Currency(buckets:10,desc:sum_FaceOutstandingUSD,calc:max_CouponRate)" ... ) )r r rrrrrrrrrrrrr)rsearch Definitionget_datadatadf)r r rrrrrrrrrrrrrs Z/root/lseg-credit/backend/venv/lib/python3.13/site-packages/lseg/data/discovery/_search.pyrr s`L !!#!+ " "  bb')typingrrr_typesrcontent.searchrpandaspdr SEARCH_ALLstrintrr#r"r.s '"'#..(,y y s y y y  y  y y yyyy y yy&y !yr#