KCjP dZddlmZddlZddlZddlmZddl m Z ee Z edZ ddddddddddddd Zgd ZGd d ZeZy) uC Feature vector builder. Converts (district, crop, month) into the exact numeric feature vectors each model was trained on. This is the single source of truth for feature order and meaning — if you change this, you MUST retrain every model that consumes it, because XGBoost/RandomForest/DecisionTree have no concept of column names at inference time, only column position. The historical climate stats CSV referenced here is produced by the ml_pipeline/feature_engineering scripts and must be present in data/processed/ before the API can serve real (non-fallback) features. )PathN) get_logger)reference_dataz data/processed/climate_clean.csv)  rr) rainfall_mmtemp_chumidity season_indexrainfall_anomaly rainfall_ma3 rainfall_lag1 water_req_mm min_temp_c max_temp_cdrought_tolerant growth_dayscdeZdZd dZd dZd dZdededefdZ ded edede jfd Z y) FeatureBuilderreturnNc d|_d|_y)NF)_climate_history_loadedselfs IC:\Crop_Prediction\Backend\crop-ai-system\app\services\feature_builder.py__init__zFeatureBuilder.__init__/s59 ctjsAtjtdt j gd|_d|_yt jt|_d|_y)Nu not found — feature builder will use fallback climate estimates. Real predictions require this file to be generated by the ml_pipeline before going to production.)districtmonthrrr)columnsT) CLIMATE_HISTORY_PATHexistsloggerwarningpd DataFramer"read_csvr#r$s r&loadzFeatureBuilder.load3sf#**, NN'()QR  %'LLR%D !  %'KK0D$ED ! r(c2|js tdy)NzQFeatureBuilder used before load() was called. This indicates a startup-order bug.)r# RuntimeErrorr$s r&_ensure_loadedzFeatureBuilder._ensure_loadedBs ||6 r(r*r+c|j|jd|k(|jd|k(z}|jr"tjd|d|ddddd St |d j d |vrt |d j ndd |vrt |d j d Sdd S) zKReturns mean rainfall/temp/humidity for this district+month across history.r*r+z)No historical climate data for district='z' month=z, using generic fallback valuesgY@g>@gQ@)rrrrrr)r"emptyr/r0floatmean)r%r*r+hists r&_historical_climatez"FeatureBuilder._historical_climateIs$$  " ": .( :$$W-6 8  :: NN;H:XeWU01 $)DdK K m!4!9!9!;<6>$6FeDN//12D:D:Ld:.3356  SW  r(cropcd|jtj|}tj||j ||}|dkDr|dz nd}|j ||}|d}|d|zdz } d} t j |d} tj|d|d|d| | | ||d |d |d t|d |d g tj} | jdttk7r,td| jddttd| S)u Builds the feature vector for a single (district, crop, month) query. Raises UnsupportedCropError / UnsupportedDistrictError via reference_data if either input is invalid — callers should let that propagate, not catch it here. rrrrgrrrrrrrr)dtypezFeature vector length z does not match expected z columns)r7rget_crop get_districtr= SEASON_MAPgetnparrayr:float64shapelenFEATURE_COLUMNSr6) r%r*r>r+ crop_propscurrent prev_monthprevrrrrvectors r&buildzFeatureBuilder.build\s[ #,,T2 ##H-**8U;"'!)UQY ''*=]+  .>!C !~~eQ/  M " H  J      ~ & | $ | $ */0 1 } %    <<?c/2 2(a(9:01;   r()r N) __name__ __module__ __qualname__r'r4r7strintdictr=rEndarrayrPr(r&rr.sP  C   &5c55S5RZZ5r(r)__doc__pathlibrnumpyrEpandasr1app.core.logging_configrapp.services.reference_datarrQr/r-rCrJrfeature_builderrXr(r&r`ss .6 H >?  Q1 qaAQ1 ccN!"r(