Ng ddlmZddlmZmZmZmZddlZddl m Z e j e j e j e jdZddefd Zd edeefd Z dd ejdejdedeedededeeeffdZdS))partial)CallableDictListOptionalN)fuzz) token_ratioratiopartial_token_ratio partial_ratio  returncP|fd|jDS)z4joining dataframe's table content as one long stringc:g|]}|S)join).0row tab_tokens ^/var/www/html/ai-engine/env/lib/python3.11/site-packages/unstructured_inference/models/eval.py z$_join_df_content..s% J J J!4!4 J J J)rvalues)dfrrow_break_tokens ` r_join_df_contentrs.    J J J J J J J K KKrtextc*|S)z2a simple tokenizer that splits text by white space)split)rs rdefault_tokenizerr!s ::<<rr actual_dfpred_df eval_func processorrrc 0t|}|td|tt||}d|||||||d||||j||j|iS)aravel the table as string then use text distance to compare the prediction against true table Parameters ---------- actual_df: pd.DataFrame actual table as pandas dataframe pred_df: pd.DataFrame predicted table as pandas dataframe eval_func: str, default tp "token_ratio" the eval_func should be one of "token_ratio", "ratio", "partial_token_ratio", "partial_ratio". Those are functions provided by rapidfuzz to evaluate text distances using either tokens or characters. In general token is better than characters for evaluating tables. processor: Callable, default to None processor to tokenize the text; by default None means no processing (using characters). For tokens eval functions we recommend using the `default_tokenizer` or some other functions to break down the text into words tab_token: str, default to "\t" the string to join cells together row_break_token: str, default to "\n" the string to join rows together Returns ------- Dict[str, int] mapping of by column and by row scores to the scores as float numbers Nz`eval_func must be one of "token_ratio", "ratio", "partial_token_ratio", "partial_ratio" but got )rrby_col_)r%by_row_)EVAL_FUNCTIONSget ValueErrorrrT)r"r#r$r%rrfunc join_funcs rcompare_contents_as_dfr/sR   i ( (D | 3'0 3 3   (I___I)tt Ii Ig     )tt Iik " " Igi     r)r r)r Nr r) functoolsrtypingrrrrpandaspd rapidfuzzrr r r r r)strrr! DataFramefloatr/rrrr8sO111111111111# Z3' LL#LLLL CDI#$( ;;|; \;;! ;  ;  ; #u*;;;;;;r