dh8SSKJr SSKrSSKrSSKJrJrJrJr SSK J r SSK J r SSK Jr \R"\5r"SS\5rg) ) annotationsN)AnyListOptionalTuple)Document) Embeddings) VectorStorec\rSrSrSrSSjrSSSjjrSSjrSSSjjr\ SSj5r SSS jjr SS S jjr S!S"S jjr S#S jr\S$S%S jj5rS&SjrS'SjrS(SjrS&SjrS&SjrS)SjrS*SjrSrg)+Jaguara`Jaguar API` vector store. See http://www.jaguardb.com See http://github.com/fserv/jaguar-sdk Example: .. code-block:: python from langchain_community.vectorstores.jaguar import Jaguar vectorstore = Jaguar( pod = 'vdb', store = 'mystore', vector_index = 'v', vector_type = 'cosine_fraction_float', vector_dimension = 1536, url='http://192.168.8.88:8080/fwww/', embedding=openai_model ) cXlX lX0lX@lXPlXplSSKJn U"U5Ul SUl g![a [S5ef=f)Nr)JaguarHttpClientzrCould not import jaguardb-http-client python package. Please install it with `pip install -U jaguardb-http-client`) _pod_store _vector_index _vector_type_vector_dimension _embedding%jaguardb_http_client.JaguarHttpClientr ImportError_jag_token) selfpodstore vector_index vector_typevector_dimensionurl embeddingrs _/var/www/html/shao/venv/lib/python3.13/site-packages/langchain_community/vectorstores/jaguar.py__init__Jaguar.__init__$sf  )'!1#  N%S)   O  s AAcUS:XaURR5nXlURRU5UlURS:Xa[ R S5 gg)a login to jaguardb server with a jaguar_api_key or let self._jag find a key Args: pod (str): name of a Pod store (str): name of a vector store optional jaguar_api_key (str): API key of user to jaguardb server Returns: True if successful; False if not successful rz*E0001 error init(): invalid jaguar_api_keyFT)r getApiKey_jaguar_api_keyloginrloggererror)rjaguar_api_keys r#r) Jaguar.login@sW R !YY002N-iioon5 ;;"  LLE FcURS-UR-nSnXC- nUSURSURS3- nUSURS3- nUSUS 3- nXAS -- nUR U5 g ) z create the vector store on the backend database Args: metadata_str (str): columns and their types Returns: True if successful; False if not successful .z create store  (z vector(,z 'z'),z source char(256), v:text char(z),)N)rrrrrrun)r metadata_str text_sizepodstoreqs r#create Jaguar.createWs99s?T[[0    r$$$%Xd.D.D-EQ GG r$##$C (( .yk << C   r.cURS:Xa[RSUS35 0$URR XRU5nUR n[ R"U5nU$![a 0s$f=f)z Run any query statement in jaguardb Args: query (str): query statement to jaguardb Returns: None for invalid token, or json result string rzE0005 error run(r3) rr*r+rposttextjsonloads Exception)rquerywithFileresptxtjss r#r4 Jaguar.runqsw ;;"  LL+E7!4 5Iyy~~e[[(;ii CBI I sA77 BBcUR$N)rrs r# embeddingsJaguar.embeddingss r.Nc URnURSS5nURSS5nURS-UR-S-U-nSU-nUR U5n U S:Xa/$U Sn US:wa$/n UHn U R US-U -5 M U nUR R[U55n /nUcSnU HnUVs/sHn[U5PM nnS RU5nURS-UR-nS U-S -nXS -U -S -U-- nXRS S5nUSU-S-- nUR US5n UR U S5 US- nM U$SnU GHPnUVs/sHn[U5PM nnURX/U5unnnUS:wa2URRURUS5nU(d/s $S RU5nUS U-- nS SRU5-S -nUSS RU5-S -- nURS-UR-nS U-S -nUUS -U -S-U-- nXRS S5nUSU-S-- nUS:waUR US5n OUR US5n UR U S5 US- nGMS U$s snfs snf)a Add texts through the embeddings and add to the vectorstore. Args: texts: list of text strings to add to the jaguar vector store. metadatas: Optional list of metadatas associated with the texts. [{"m1": "v11", "m2": "v12", "m3": "v13", "filecol": "path_file1.jpg" }, {"m1": "v21", "m2": "v22", "m3": "v23", "filecol": "path_file2.jpg" }, {"m1": "v31", "m2": "v32", "m3": "v33", "filecol": "path_file3.jpg" }, {"m1": "v41", "m2": "v42", "m3": "v43", "filecol": "path_file4.jpg" }] kwargs: vector_index=name_of_vector_index file_column=name_of_file_column Returns: List of ids from adding the texts into the vectorstore file_columnrtext_tagr0ztextcol data rr2z insert into r1z ) values (''z\'z','')Fzid,'z ) values (T)rgetrrr4appendrembed_documentsliststrjoinreplace _parseMetarpostFiler)rtexts metadataskwargsvcolfilecolrN podstorevcolr8rEtextcol tag_textstrJidsivecxstr_vec values_commar7rDnvecvvecfilepathrc names_commas r# add_textsJaguar.add_textss*!!**]B/::j"-yy34s:TA  % XXa[ 8IV* r>I  C!!34E__44T%[A   A!+./3a3q63/"xx0 99s?T[[8"X-4CZ')M9LHHh&&sE2US[4''XXa' 2e9%Q"N 7A!+./3a3q63/'+y|W'M$dHb=++DKK1EB! !hhtn sTz) "UZZ%55; sxx'8 83 >> 99s?T[[8"X-4[3&0<?,NNh&&sE2TCZ$&&b=!T*B!U+B 2e9%Q1"4 M00s K Kc URnURn URRU5n U V s/sHn [ U 5PM n n SR U 5n UR S-UR-nSU-S-U -S-[ U5-S-[ U5-S-U -nUS- nUbUSU-- nUbS R U5nUS U-- nUS U-- nUbUS U-- nURU5nUc/$/nUHNnUS nUSnUSn0nUUS'UbUH nUUnUUU'M [UUS9nUU4nURU5 MP U$s sn f)a Return Jaguar documents most similar to query, along with scores. Args: query: Text to look up documents similar to. k: Number of Documents to return. Defaults to 3. lambda_val: lexical match parameter for hybrid search. where: the where clause in select similarity. For example a where can be "rating > 3.0 and (state = 'NV' or state = 'CA')" args: extra options passed to select similarity kwargs: vector_index=vcol, vector_type=cosine_fraction_float Returns: List of Documents most similar to the query and score for each. List of Tuples of (doc, similarity_score): [ (doc, score), (doc, score), ...] r2r0zselect similarity(rUz','topk=z ,fetch_k=z,type=z,with_score=yes,with_text=yes&z ,metadata=z') from z where scorer=rS) page_contentmetadata) rrr embed_queryrZr[rrr4rrW)rrAkfetch_kwhereargsr`rarbvtyperJfstr_embeddingsqv_commar7r8metajarrdocs_with_scorerErwr=rSmdmmvdoctups r#similarity_search_with_score#Jaguar.similarity_search_with_scores2!!!!__007 *45*Q#a&*588N+99s?T[[0       !f     'l     ,,   tOA  88I&D $ $A Z( ""   U" "Axx{ <IBwKEf:DU)CBBuI$"AABBqE#r:C,C  " "3 '"e6sEc fUR"U4X#US.UD6nUVVs/sHupxUPM snn$s snnf)ao Return Jaguar documents most similar to query, along with scores. Args: query: Text to look up documents similar to. k: Number of Documents to return. Defaults to 5. where: the where clause in select similarity. For example a where can be "rating > 3.0 and (state = 'NV' or state = 'CA')" Returns: List of Documents most similar to the query )r{r}r`)r) rrAr{r}r`radocs_and_scoresr_s r#similarity_searchJaguar.similarity_search-sE$;;  y r?) rrArarbrrJrrrr7r8rEjds r# is_anomalousJaguar.is_anomalousDs!!!!__007 *45*Q#a&*588N+99s?T[[0 $ & . 9K G% ORV V X   XXa[ b$  CGqL ZZ1  k?e #6sC1c U"XEXgXU5n U RU 5 U R5 U R"X40U D6 U $rH)r)clearrs) clsr_r"r!rrrrr r`r,rajagstores r# from_textsJaguar.from_textsasH  3C)  ~&56v6r.chURS-UR-nSU-nURU5 g)z< Delete all records in jaguardb Args: No args Returns: None r0ztruncate store Nrrr4rr7r8s r#r Jaguar.clearxs/ 99s?T[[0  (  r.c URS-UR-nUH"nSU-S-U-S-nURU5 M$ g)z Delete records in jaguardb by a list of zero-ids Args: pod (str): name of a Pod ids (List[str]): a list of zid as string Returns: Do not return anything r0z delete from z where zid='rQNr)rzidsrar7rSr8s r#delete Jaguar.deletesH99s?T[[0C)N:S@3FA HHQKr.cURS-UR-nSU-nURU5n[U[5(a[ U5S:Xag[ R"US5n[US5$)zb Count records of a store in jaguardb Args: no args Returns: (int) number of records in pod store r0zselect count() from rrO) rrr4rrYrr>r?int)rr7r8rErs r#count Jaguar.countsk 99s?T[[0 "X - XXa[ b$  CGqL ZZ1 2f:r.chURS-UR-nSU-nURU5 g)z@ Drop or remove a store in jaguardb Args: no args Returns: None r0z drop store Nrrs r#drop Jaguar.drops/ 99s?T[[0 H $  r.cNURRUR5 g)z9 Logout to cleanup resources Args: no args Returns: None N)rlogoutrrIs r#r Jaguar.logouts %r.cl[SS5n[SU3USS9 SSS5 g!,(df  g=f)Nz/tmp/debugjaguar.logazmsg=T)fileflush)openprint)rmsgrs r#prt Jaguar.prts- (# .$ D,T 6/ . .s% 3cSnUS:Xa3[UR55n[UR55nOs/n/nX!;a(URU5 URX5 XnUR 5H.upgXb:wdM URU5 URU5 M0 UVs/sHn[ U5PM n nXIU4$s snfNr)rYkeysvaluesrWitemsrZ) rnvmaprcrprnror{vevvec_ss r#r]Jaguar._parseMetas b= %D 'DDD G$ EN+ > <KKNKKN& #''$Q#a&$'X%%(s3C ) rrr(rrrrrr)rrZrrZrrZrrZr rr!rZr"r )r)r, Optional[str]returnbool)r5rZr6rrNone)F)rArZrBrrdict)rzOptional[Embeddings]rH)r_ List[str]r`Optional[List[dict]]rarrr)NNN)rArZr{rr|rr}rr~rr`Optional[List[str]]rarrzList[Tuple[Document, float]])rNN) rArZr{rr}rr`rrarrzList[Document])rArZrarrrr)r_rr"r r!rZrrZrrZrrZrrZr rr`rr,rrarrr )rr)rrrarrr)rr)rrZrr)rrrcrZrz Tuple[List[str], List[str], str])__name__ __module__ __qualname____firstlineno____doc__r$r)r9r4propertyrJrsrrr classmethodrrrrrrrr]__static_attributes__r.r#r r sj*      <)+% .  4* +/QQ(Q Q  Ql#")-NN N N  N  N'NN &Nf#)- 33 3 3 ' 3  3 3.  :+/(*     (& ,  &7&r.r ) __future__rr>loggingtypingrrrrlangchain_core.documentsrlangchain_core.embeddingsr langchain_core.vectorstoresr getLoggerrr*r rr.r#rs;" ---03   8 $y&[y&r.