Test your AI Agents with the all-new Agent to Agent Testing Platform.Learn More
How to use in_memory method in localstack
Best Python code snippet using localstack_python
treebanks.py
Source:treebanks.py 
...83 if not sentence:84 break85 self.sentences.append(sentence)86 self.total_sentence_count = len(self.sentences)87 def is_in_memory(self) -> bool:88 return self.in_memory89 def __len__(self):90 return self.total_sentence_count91 def __getitem__(self, index: int = 0) -> Sentence:92 # if in memory, retrieve parsed sentence93 if self.in_memory:94 sentence = self.sentences[index]95 # else skip to position in file where sentence begins96 else:97 with open(str(self.path_to_conll_file), encoding="utf-8") as file:98 file.seek(self.indices[index])99 sentence = self._read_next_sentence(file)100 return sentence101 def _read_next_sentence(self, file):...
monthly_pa_analysis_script.py
Source:monthly_pa_analysis_script.py
1# Name: Global coverage analysis script2# Purpose: A script based on an Esri model to calculate PA coverage globally, regionally and nationally as well as calculating national and PAME statistics.3# Author: Ed Lewis (edward.lewis@unep-wcmc.org)4# Created: 01/07/20195# Last updated: 02/04/20206# ArcGIS Version: Pro(2.1+)7# Python: 3.1+8#--------------------------------------------------------------------------------------------------------------------------9# Preamble: Define the script workspaces10# import arcpy modules11import arcpy12import os13import time14import urllib.request15import zipfile16import random17from arcpy import env18#start the stopwatch19start = time.clock()20# enable the overwriting of outputs21arcpy.env.overwriteOutput = True22# define root folder for all outputs23rootfolder = r"C:\Users\EdwardL\Downloads"24pactfolder = arcpy.CreateFolder_management(rootfolder,"PACT_script")25outputfolder = arcpy.CreateFolder_management(pactfolder,"PACT_outputs")26sbafolder = arcpy.CreateFileGDB_management(outputfolder,"SBA_outputs")27inputfolder = arcpy.CreateFolder_management(pactfolder,"PACT_inputs")28# create a new file geodatabase in the root folder for all the script outputs29workspace = arcpy.CreateFileGDB_management(outputfolder,"PACT_script_outputs")30# define the scratch workspace for outputs we dont want to keep, this will be deleted at the end of the script31scratchworkspace = arcpy.CreateFileGDB_management(outputfolder,"PACT_script_scratch_workspace")32#--------------------------------------------------------------------------------------------------------------------------33# Stage 0: Specify file paths and define access level34print ("Stage 0: Define the inputs and access level")35print ("Stage 0.1: Access level")36# do you have access to the restricted protected area data? If you do not then put False37restricted = True38if restricted == True:39 print("Access level = WCMC")40else:41 print("Access level = public")42# if you have access to the restricted data then copy the file paths here:43if restricted == True:44 # define location of restricted CHN points45 in_restrict_chn_pnt = r"I:\_Monthly_Coverage_Stats_\0_Tools\0_Test_Data\Restricted_subset_model_testing.gdb\CHN_restricted_testing_for_model_pnt"46 # define location of restricted CHN polygons47 in_restrict_chn_poly = r"I:\_Monthly_Coverage_Stats_\0_Tools\0_Test_Data\Restricted_subset_model_testing.gdb\CHN_restricted_testing_for_model"48 # define location of restricted SHN polygons49 in_restrict_shn_poly = r"I:\_Monthly_Coverage_Stats_\0_Tools\0_Test_Data\Restricted_subset_model_testing.gdb\SHN_restricted_testing_for_model"50 # define location of restricted EST polygons51 in_restrict_cdda_poly = r"I:\_Monthly_Coverage_Stats_\0_Tools\0_Test_Data\Restricted_subset_model_testing.gdb\EST_restricted_testing_for_model"52 # restricted CAN polygons53 #in_restrict_can_poly = r"E:\WDPA\0_Useful_material\monthly_pa_analysis_testing_dataset\WDPA_subset_model_testing.gdb\CAN_restricted_50_testing_for_model"54print ("Stage 0.2: PAME sites")55# define the list of protected areas that have pame assessments56in_pame_sites = r"I:\_Monthly_Coverage_Stats_\0_Tools\1_Basemap\Restricted_Data.gdb\PAME_Sites"57print ("Stage 0.3: OECM sites")58# define the input for the oecm data59in_oecmpoly = r"I:\_Monthly_Coverage_Stats_\0_Tools\4_OECMs\WDOECM_Apr2020_Public\WDOECM_Apr2020_Public.gdb\WDOECM_poly_Apr2020"60print ("Stage 0.4 PA sites")61### THIS SECTION WORKS BUT IS MASKED OUT WHILST WE ARE RUNNING TESTS ####62# downloads the most recent version of the WDPA from Protected Planet and saves it in the root directory63#print ('Downloading the latest WDPA from Protected Planet....')64#url = r'http://wcmc.io/wdpa_current_release'65#filename = str(inputfolder) + r"\\WDPA_Latest.zip"66#targetfile = urllib.request.urlretrieve(url, filename)67#print ('Unzipping the WDPA...')68# unzips the folder to enable the file geodatabase to be queried, also in the root directory69#handle = zipfile.ZipFile(filename)70#handle.extractall(str(inputfolder))71#handle.close72#env.workspace = str(inputfolder)73# for the inputfolder, list the feature classes that are polygons and join the file path componentes to specify the exact polygon input for the script74#for dirpath, dirnames, filenames in arcpy.da.Walk(inputfolder, datatype="FeatureClass", type="Polygon"):75 for filename in filenames:76 in_polygons = os.path.join(dirpath,filename)77# for the inputfolder, list the feature classes that are points and join the file path componentes to specify the exact point input for the script78for dirpath, dirnames, filenames in arcpy.da.Walk(inputfolder, datatype="FeatureClass", type="Multipoint"):79 for filename in filenames:80 in_points = os.path.join(dirpath,filename)81##########################################################################82# define the protected area point and polygon inputs [doing this manually or now]83in_points = r"I:\_Monthly_Coverage_Stats_\0_Tools\0_Test_Data\tiny_subset.gdb\CHL_Test_Pnt"84in_polygons = r"I:\_Monthly_Coverage_Stats_\0_Tools\0_Test_Data\tiny_subset.gdb\BLM_model_testing_subset"85print ("Stage 0.5: Basemaps")86###### - SCRIPTS TO AUTOMATE DOWNLOADING THE BASEMAPS - IGNORE FOR NOW####87#print('Downloading the basemaps from XXXX')88# download the basemaps from [INSERT PLACE]89#url = r'ENTER THE BASEMAP FILE PATH HERE'90#filename = str(inputfolder) + r"\\basemaps.zip"91#targetfile = urllib.request.urlretrieve(url, filename)92#print ('Unzipping the basemaps...')93# unzips the folder to enable the file geodatabase to be queried, also in the root directory94#handle = zipfile.ZipFile(filename)95#handle.extractall(str(inputfolder))96#handle.close97###################################################################################98# define spatial basemap input - country boundaries etc99in_basemap_spat = r"I:\_Monthly_Coverage_Stats_\0_Tools\1_Basemap\Basemap.gdb\EEZv8_WVS_DIS_V3_ALL_final_v7dis_with_SDG_regions_for_models"100# define tabular basemap input - just the attribute table of in_basemap_spat101in_basemap_tab = r"I:\_Monthly_Coverage_Stats_\0_Tools\1_Basemap\Basemap.gdb\EEZv8_WVS_DIS_V3_ALL_final_v7dis_with_SDG_regions_for_models_tabular"102print ("Stage 0.6: Supporting information from Github Repo")103# download the supporting files from the github repo104print('Downloading the supporting files from [Eds] GitHub repo....')105url = r'http://github.com/EdwardMLewis/wdpa-statistics/archive/master.zip'106filename = str(inputfolder) + r"\\Github_supporting_files.zip"107targetfile = urllib.request.urlretrieve(url, filename)108print ('Unzipping the supporting files...')109# unzips the folder to enable the file geodatabase to be queried, also in the root directory110handle = zipfile.ZipFile(filename)111handle.extractall(str(inputfolder))112handle.close113# rename the unzipped folder114arcpy.Rename_management(r"C:\Users\EdwardL\Downloads\PACT_script\PACT_inputs\wdpa-statistics-master",r"C:\Users\EdwardL\Downloads\PACT_script\PACT_inputs\Github_supporting_files")115print ("Stage 0.7: Projection files")116# define the projection files used to define outputs/workspaces117in_mollweideprj = str(inputfolder) + "\\Github_supporting_files\moll_projection.prj"118#--------------------------------------------------------------------------------------------------------------------------119# Stage 1: Global and Regional analysis120print ("Stage 1 of 2: Global and Regional analysis")121arcpy.env.workspace = str(workspace)122# combine the point inputs together depending on whether restricted data is included or not123if restricted == True:124 all_points = arcpy.Merge_management([in_points,in_restrict_chn_pnt], 'all_points')125 all_polygons = arcpy.Merge_management([in_polygons, in_restrict_chn_poly, in_restrict_shn_poly, in_restrict_cdda_poly], 'all_polygons')126else:127 all_points = in_points128 all_polygons = in_polygons129# repair geometries for newly merged files130arcpy.RepairGeometry_management(all_points,"DELETE_NULL","OGC")131arcpy.RepairGeometry_management(all_polygons,"DELETE_NULL","OGC")132# remove the sites that have an uncertain status or have potentially very innacruate areas133arcpy.Select_analysis(all_points, r"in_memory\all_wdpa_points_select","STATUS in ('Adopted', 'Designated', 'Inscribed') AND NOT DESIG_ENG = 'UNESCO-MAB Biosphere Reserve'")134arcpy.Select_analysis(all_polygons, r"in_memory\all_wdpa_polygons_select","STATUS in ('Adopted', 'Designated', 'Inscribed') AND NOT DESIG_ENG = 'UNESCO-MAB Biosphere Reserve'")135# convert the point selection into a polygon by buffering by the REP_AREA136arcpy.AddField_management(r"in_memory\all_wdpa_points_select","radius","DOUBLE")137arcpy.CalculateField_management(r"in_memory\all_wdpa_points_select","radius","math.sqrt(!REP_AREA!/math.pi )*1000","PYTHON_9.3")138arcpy.PairwiseBuffer_analysis(r"in_memory\all_wdpa_points_select",r"in_memory\all_wdpa_points_select_buff","radius","","","GEODESIC","")139# combine the poly selection with the buffered point selection140# the output (hereafter 'polybuffpnt') represents the starting point for the monthly release - it is all the sites we include in the analysis in one file141## IF you want to do count analyses then do it on *this* file142arcpy.Merge_management([r"in_memory\all_wdpa_points_select_buff",r"in_memory\all_wdpa_polygons_select"],"all_wdpa_polybuffpnt")143# repair the polybuffpnt144arcpy.RepairGeometry_management("all_wdpa_polybuffpnt","DELETE_NULL","OGC")145# randomly reassign a STATUS_YR value to those sites that dont have one146field = ['STATUS_YR']147with arcpy.da.UpdateCursor('all_wdpa_polybuffpnt',field) as cursor:148 for row in cursor:149 if row[0] == 0:150 row[0] = random.randint(1819,2020)151 cursor.updateRow(row)152# rename the ISO3 field in the WDPA to clarify it is the WDPA ISO3 and not a basemap ISO3153arcpy.AlterField_management("all_wdpa_polybuffpnt","ISO3","WDPA_ISO3")154# split up the polybuffpnt using the Union tool - this splits up the WDPA like a Venn diagram155arcpy.Union_analysis("all_wdpa_polybuffpnt","all_wdpa_polybuffpnt_union")156# repair the output of the union157arcpy.RepairGeometry_management("all_wdpa_polybuffpnt_union","DELETE_NULL","OGC")158# add xy coordinates for each of the ~1 million segments159arcpy.AddGeometryAttributes_management("all_wdpa_polybuffpnt_union","CENTROID")160# add a new field to concatenate the new x and y coordinate fields161arcpy.AddField_management("all_wdpa_polybuffpnt_union","XYco","TEXT")162# populate this new XYco field163arcpy.CalculateField_management("all_wdpa_polybuffpnt_union","XYco","str(!CENTROID_X!) + str(!CENTROID_Y!)","PYTHON_9.3")164# run a summary of the XYco field, showing how many instances there are of each XYyco, i.e. how many segments have165# exactly the same XYco, and by extension geometry.166arcpy.Statistics_analysis("all_wdpa_polybuffpnt_union","xyco_count",[["XYco","COUNT"]],"XYco")167# join (add) the XYco field from the summary table to the output of the union168arcpy.JoinField_management("all_wdpa_polybuffpnt_union","XYco","xyco_count","XYco","COUNT_XYco")169# select out all of the segments which only have 1 XYco, i.e. the novel geometries with no overlaps within the WDPA170arcpy.Select_analysis("all_wdpa_polybuffpnt_union",r"in_memory\all_wdpa_polybuffpnt_union_unique","COUNT_XYco = 1")171# select out all of the segments which have >1 XYco, i.e. geometries which overlap within the WDPA172arcpy.Select_analysis("all_wdpa_polybuffpnt_union","all_wdpa_polybuffpnt_union_duplicates","COUNT_XYco > 1")173# run a summary report listing the lowest STATUS_YR for each duplicate area by XYco174arcpy.Statistics_analysis("all_wdpa_polybuffpnt_union_duplicates",r"in_memory\all_wdpa_polybuffpnt_union_duplicates_earliest_sum",[["STATUS_YR","MIN"]],"XYco")175# make a copy of the duplicates176arcpy.Copy_management("all_wdpa_polybuffpnt_union_duplicates","all_wdpa_polybuffpnt_union_duplicates_flat")177# delete all identical XYcos from the copied duplicates, we dont care about the values, just the geometreis and making it flat178arcpy.DeleteIdentical_management("all_wdpa_polybuffpnt_union_duplicates_flat","XYco")179# join the summary report to the copied duplicates180arcpy.JoinField_management("all_wdpa_polybuffpnt_union_duplicates_flat","XYco",r"in_memory\all_wdpa_polybuffpnt_union_duplicates_earliest_sum","XYco","MIN_status_yr")181# recalculate status_yr so that each XYco has the earliest status_yr that geometry had182arcpy.CalculateField_management("all_wdpa_polybuffpnt_union_duplicates_flat","STATUS_YR","!MIN_status_yr!")183# remove the field184arcpy.DeleteField_management("all_wdpa_polybuffpnt_union_duplicates_flat","MIN_status_yr")185# merge these site back into the unique geometries - creating a flat layer which has the whole WDPA schema populated still.186## If you want to do count analyses do it on the polybuffpnt, if you want to do spatial analyses, do it with this file.187arcpy.Merge_management(["all_wdpa_polybuffpnt_union_duplicates_flat",r"in_memory\all_wdpa_polybuffpnt_union_unique"],r"in_memory\all_wdpa_polybuffpnt_union_flat")188# repair the recombined layer189arcpy.RepairGeometry_management(r"in_memory\all_wdpa_polybuffpnt_union_flat","DELETE_NULL","OGC")190# intersect it with the basemap191arcpy.PairwiseIntersect_analysis([r"in_memory\all_wdpa_polybuffpnt_union_flat",in_basemap_spat],r"in_memory\all_wdpa_polybuffpnt_union_flat_intersect")192# repair it193arcpy.RepairGeometry_management(r"in_memory\all_wdpa_polybuffpnt_union_flat_intersect","DELETE_NULL","OGC")194# project it into mollweide, an equal area projection195arcpy.Project_management(r"in_memory\all_wdpa_polybuffpnt_union_flat_intersect","all_wdpa_polybuffpnt_union_flat_intersect_project",in_mollweideprj)196# repair it197arcpy.RepairGeometry_management("all_wdpa_polybuffpnt_union_flat_intersect_project","DELETE_NULL","OGC")198# add and calculate a new area field199arcpy.AddGeometryAttributes_management("all_wdpa_polybuffpnt_union_flat_intersect_project","AREA_GEODESIC","","SQUARE_KILOMETERS",in_mollweideprj)200# now we get into the creation of summary statistic tables201# for the explanation and underlying rationale for these decisions please see accompanying metadata.202# GLOBAL SUMMARY REPORTS203# select only sites outside of the ABNJ (they get treated separately)204arcpy.Select_analysis("all_wdpa_polybuffpnt_union_flat_intersect_project", r"in_memory\all_wdpa_polybuffpnt_union_flat_intersect_project_nonabnj", "WDPA_ISO3 NOT IN ('ABNJ')")205# change the 'type' field in the non_abnj selection so that ABNJ is always changed to 'EEZ' (nationally designated sites go over into the geographic ABNJ)206arcpy.CalculateField_management(r"in_memory\all_wdpa_polybuffpnt_union_flat_intersect_project_nonabnj","type","!type!.replace('ABNJ','EEZ')", 'PYTHON3')207# run some summary stats on the Land + EEZ selection for the current year (current) and broken down per year (current)208arcpy.Statistics_analysis(r"in_memory\all_wdpa_polybuffpnt_union_flat_intersect_project_nonabnj","global_summary_statistics_current",[["AREA_GEO","SUM"]],"type")209arcpy.Statistics_analysis(r"in_memory\all_wdpa_polybuffpnt_union_flat_intersect_project_nonabnj","global_summary_statistics_temporal",[["AREA_GEO","SUM"]],["type", "STATUS_YR"])210# select out just the rows with an ISO3 of 'ABNJ'211arcpy.Select_analysis("all_wdpa_polybuffpnt_union_flat_intersect_project",r"in_memory\ABNJ_sites","WDPA_ISO3 = 'ABNJ'")212# run some global summary stats on the ABNJ selection for the current year (current) and broken down per year (temporal)213arcpy.Statistics_analysis(r"in_memory\ABNJ_sites",r"in_memory\abnj_global_summary_statistics_current",[["AREA_GEO","SUM"]],"type")214arcpy.Statistics_analysis(r"in_memory\ABNJ_sites",r"in_memory\abnj_global_summary_statistics_temporal",[["AREA_GEO","SUM"]],["type", "STATUS_YR"])215# pivot the global current, global temporal summary table and the abnj temporal summary tables216arcpy.PivotTable_management("global_summary_statistics_temporal",["STATUS_YR"],"type","SUM_AREA_GEO","global_summary_statistics_temporal_pivot")217arcpy.PivotTable_management(r"in_memory\abnj_global_summary_statistics_temporal",["STATUS_YR"],"type","SUM_AREA_GEO","abnj_summary_statistics_temporal_pivot")218# add the abnj tables into the global summary tables219arcpy.Append_management(r"in_memory\abnj_global_summary_statistics_current","global_summary_statistics_current","NO_TEST")220arcpy.JoinField_management("global_summary_statistics_temporal_pivot","STATUS_YR","abnj_summary_statistics_temporal_pivot","STATUS_YR", 'ABNJ')221# update the fields so that they show '0' as opposed to blank cells222# define the codeblock1223in_codeblock1 = """224def updateValue(value):225 if value == None:226 return '0'227 else: return value"""228arcpy.CalculateField_management("global_summary_statistics_temporal_pivot","EEZ","updateValue(!EEZ!)","PYTHON_9.3", in_codeblock1)229arcpy.CalculateField_management("global_summary_statistics_temporal_pivot","Land","updateValue(!Land!)","PYTHON_9.3", in_codeblock1)230arcpy.CalculateField_management("global_summary_statistics_temporal_pivot","ABNJ","updateValue(!ABNJ!)","PYTHON_9.3", in_codeblock1)231# Add in three new fields, to track the cumulative area232arcpy.AddField_management("global_summary_statistics_temporal_pivot","EEZ_net","LONG")233arcpy.AddField_management("global_summary_statistics_temporal_pivot","Land_net","LONG")234arcpy.AddField_management("global_summary_statistics_temporal_pivot","ABNJ_net","LONG")235# Calculate the three net fields236# define codeblock2237in_codeblock2 = """238total = 0239def accumulate(increment):240 global total241 if total:242 total += increment243 else:244 total = increment245 return total"""246arcpy.CalculateField_management("global_summary_statistics_temporal_pivot","EEZ_net","accumulate(!EEZ!)","PYTHON_9.3", in_codeblock2)247arcpy.CalculateField_management("global_summary_statistics_temporal_pivot","Land_net","accumulate(!Land!)","PYTHON_9.3", in_codeblock2)248arcpy.CalculateField_management("global_summary_statistics_temporal_pivot","ABNJ_net","accumulate(!ABNJ!)","PYTHON_9.3", in_codeblock2)249# REGIONAL SUMMARY REPORTS250# run some summary stats on the regional for the current year (current) and broken down per year (temporal)251arcpy.Statistics_analysis(r"in_memory\all_wdpa_polybuffpnt_union_flat_intersect_project_nonabnj",r"in_memory\regional_summary_statistics_current",[["AREA_GEO","SUM"]],["sdg_region","type"])252arcpy.Statistics_analysis(r"in_memory\all_wdpa_polybuffpnt_union_flat_intersect_project_nonabnj", r"in_memory\regional_summary_statistics_temporal",[["AREA_GEO","SUM"]],["type", "STATUS_YR","sdg_region"])253# run some global summary stats on the ABNJ selection for the current year (current) and broken down per year (temporal)254arcpy.Statistics_analysis(r"in_memory\ABNJ_sites",r"in_memory\abnj_regional_summary_statistics_current",[["AREA_GEO","SUM"]],["type","sdg_region"])255arcpy.Statistics_analysis(r"in_memory\ABNJ_sites",r"in_memory\abnj_regional_summary_statistics_temporal",[["AREA_GEO","SUM"]],["type", "sdg_region", "STATUS_YR"])256# add in the abnj area to the regional summary tables257arcpy.Append_management(r"in_memory\abnj_regional_summary_statistics_current",r"in_memory\regional_summary_statistics_current","NO_TEST")258arcpy.Append_management(r"in_memory\abnj_regional_summary_statistics_temporal",r"in_memory\regional_summary_statistics_temporal","NO_TEST")259# pivot the regional temporal summary table and the ABNJ table260arcpy.PivotTable_management(r"in_memory\regional_summary_statistics_current",["sdg_region"],"type","SUM_AREA_GEO","regional_summary_statistics_current_pivot")261arcpy.PivotTable_management(r"in_memory\regional_summary_statistics_temporal",["STATUS_YR","sdg_region"],"type","SUM_AREA_GEO","regional_summary_statistics_temporal_pivot")262# update the fields so that they show '0' as opposed to blank cells263arcpy.CalculateField_management("regional_summary_statistics_current_pivot","EEZ","updateValue(!EEZ!)","PYTHON_9.3", in_codeblock1)264arcpy.CalculateField_management("regional_summary_statistics_current_pivot","Land","updateValue(!Land!)","PYTHON_9.3", in_codeblock1)265arcpy.CalculateField_management("regional_summary_statistics_current_pivot","ABNJ","updateValue(!ABNJ!)","PYTHON_9.3", in_codeblock1)266arcpy.CalculateField_management("regional_summary_statistics_temporal_pivot","EEZ","updateValue(!EEZ!)","PYTHON_9.3", in_codeblock1)267arcpy.CalculateField_management("regional_summary_statistics_temporal_pivot","Land","updateValue(!Land!)","PYTHON_9.3", in_codeblock1)268arcpy.CalculateField_management("regional_summary_statistics_temporal_pivot","ABNJ","updateValue(!ABNJ!)","PYTHON_9.3", in_codeblock1)269print ("The global and regional summary tables can now be used by themselves or copied into the monthly summary statistics templates for QC")270# run some count statistics271arcpy.Statistics_analysis("all_wdpa_polybuffpnt","count_MARINE",[["WDPAID","COUNT"]],"MARINE")272arcpy.Statistics_analysis("all_wdpa_polybuffpnt","count_IUCNCAT",[["WDPAID","COUNT"]],"IUCN_CAT")273arcpy.Statistics_analysis("all_wdpa_polybuffpnt","count_GOVTYPE",[["WDPAID","COUNT"]],"GOV_TYPE")274arcpy.Statistics_analysis("all_wdpa_polybuffpnt","count_OWNTYPE",[["WDPAID","COUNT"]],"OWN_TYPE")275arcpy.Statistics_analysis("all_wdpa_polybuffpnt","count_DESIGENG",[["WDPAID","COUNT"]],"DESIG_ENG")276arcpy.Statistics_analysis("all_wdpa_polybuffpnt","count_DESIGTYPE",[["WDPAID","COUNT"]],"DESIG_TYPE")277arcpy.Statistics_analysis("all_wdpa_polybuffpnt","count_ISO3",[["WDPAID","COUNT"]],"WDPA_ISO3")278arcpy.Statistics_analysis("all_wdpa_polybuffpnt","count_STATUSYR",[["WDPAID","COUNT"]],"STATUS_YR")279arcpy.Statistics_analysis("all_wdpa_polybuffpnt","count_OWNTYPE",[["WDPAID","COUNT"]],"OWN_TYPE")280# calculate the no-take stats281arcpy.Select_analysis("all_wdpa_polybuffpnt", r"in_memory\notake_all","NO_TAKE = 'All'")282arcpy.Dissolve_management(r"in_memory\notake_all",r"in_memory\notake_all_diss")283arcpy.Project_management(r"in_memory\notake_all_diss","notakeall_diss_project",in_mollweideprj)284arcpy.AddGeometryAttributes_management("notakeall_diss_project","AREA_GEODESIC","","SQUARE_KILOMETERS",in_mollweideprj)285arcpy.Statistics_analysis("notakeall_diss_project","sum_NOTAKEall",[["AREA_GEO","SUM"]])286arcpy.Select_analysis("all_wdpa_polybuffpnt", r"in_memory\notake_part","NO_TAKE = 'Part'")287arcpy.Statistics_analysis(r"in_memory\notake_part","sum_NOTAKEpart",[["NO_TK_AREA","SUM"]])288elapsed_hours = (time.clock() - start)/3600289print(("Stage 1 took " + str(elapsed_hours) + " hours"))290##-------------------------------------------------------------------------------------------------------------------------291#Stage 2: National and National PAME analysis292print ("Stage 2 of 2: National & National PAME Analyses")293# create the summary tables for appending in individual natioanl summary statistics294out_national_current_schema = arcpy.CreateTable_management(workspace,"out_national_current_schema")295arcpy.AddFields_management(out_national_current_schema,[['WDPA_ISO3','TEXT'],['type','TEXT'],['FREQUENCY','LONG'],['SUM_AREA_GEO','DOUBLE']])296out_national_temporal_schema = arcpy.CreateTable_management(workspace,"out_national_temporal_schema")297arcpy.AddFields_management(out_national_temporal_schema,[['WDPA_ISO3','TEXT'],['MIN_STATUS_YR','DOUBLE'],['type','TEXT'],['FREQUENCY','LONG'],['SUM_AREA_GEO','DOUBLE']])298out_national_current_schema_pame = arcpy.CreateTable_management(workspace,"out_national_current_schema_pame")299arcpy.AddFields_management(out_national_current_schema_pame,[['WDPA_ISO3','TEXT'],['type','TEXT'],['FREQUENCY','LONG'],['SUM_AREA_GEO','DOUBLE']])300out_national_temporal_schema_pame = arcpy.CreateTable_management(workspace,"out_national_temporal_schema_pame")301arcpy.AddFields_management(out_national_temporal_schema_pame,[['WDPA_ISO3','TEXT'],['MIN_STATUS_YR','DOUBLE'],['type','TEXT'],['FREQUENCY','LONG'],['SUM_AREA_GEO','DOUBLE']])302# join pame list to polybuffpnt303arcpy.JoinField_management("all_wdpa_polybuffpnt","WDPAID",in_pame_sites,"wdpa_id","evaluation_id")304# update field (0) for those that don't have id305arcpy.CalculateField_management("all_wdpa_polybuffpnt","evaluation_id","updateValue(!evaluation_id!)","PYTHON_9.3", in_codeblock1)306# select transboundary sites and non transboundary sites307arcpy.Select_analysis("all_wdpa_polybuffpnt",r"in_memory\all_wdpa_polybuffpnt_nontransboundary","WDPA_ISO3 NOT LIKE '%;%'")308arcpy.Select_analysis("all_wdpa_polybuffpnt",r"in_memory\all_wdpa_polybuffpnt_transboundary","WDPA_ISO3 LIKE '%;%'")309# repair them310arcpy.RepairGeometry_management(r"in_memory\all_wdpa_polybuffpnt_nontransboundary","DELETE_NULL","OGC")311arcpy.RepairGeometry_management(r"in_memory\all_wdpa_polybuffpnt_transboundary","DELETE_NULL","OGC")312# erase the transboundary sites from the nontransboundary sites313arcpy.Erase_analysis(r"in_memory\all_wdpa_polybuffpnt_transboundary",r"in_memory\all_wdpa_polybuffpnt_nontransboundary","all_wdpa_polybuffpnt_transboundary_novelarea")314# repair the output of the erase315arcpy.RepairGeometry_management("all_wdpa_polybuffpnt_transboundary_novelarea","DELETE_NULL","OGC")316# intersect the erased output with the basemap317arcpy.PairwiseIntersect_analysis(["all_wdpa_polybuffpnt_transboundary_novelarea",in_basemap_spat],"all_wdpa_polybuffpnt_transboundary_novelarea_intersect")318# repair it319arcpy.RepairGeometry_management("all_wdpa_polybuffpnt_transboundary_novelarea_intersect","DELETE_NULL","OGC")320# recalculate ISO3 based on the geo iso3321arcpy.CalculateField_management("all_wdpa_polybuffpnt_transboundary_novelarea_intersect","WDPA_ISO3","!GEO_ISO3!","PYTHON_9.3")322# rename the nontransboundary sites323#arcpy.Rename_management(r"in_memory\all_wdpa_polybuffpnt_nontransboundary",r"in_memory\all_wdpa_polybuffpnt_national")324# append back the erased and intersected transboundary sites back into the nontransboundary sites325arcpy.Append_management(r"in_memory\all_wdpa_polybuffpnt_nontransboundary","all_wdpa_polybuffpnt_transboundary_novelarea_intersect","NO_TEST")326# repair it327arcpy.RepairGeometry_management(r"in_memory\all_wdpa_polybuffpnt_nontransboundary","DELETE_NULL","OGC")328# split by attribute (wdpa_iso3) to create an individual fc for each iso3329arcpy.SplitByAttributes_analysis(r"in_memory\all_wdpa_polybuffpnt_nontransboundary",sbafolder, "WDPA_ISO3")330# change the location of the workspace to represent the location of the sba output331arcpy.env.workspace = str(sbafolder)332arcpy.env.overwriteOutput = True333out_sba = arcpy.ListFeatureClasses()334# split the input into country specific subsets and do the analysis iso3 by iso3335for fc in out_sba:336 desc = arcpy.Describe(fc)337 # run a union, add in an xyco for each segment338 arcpy.Union_analysis(fc,r"in_memory\Union")339 arcpy.RepairGeometry_management(r"in_memory\union","DELETE_NULL","OGC")340 # assign a unique id to each parcel (XYco)341 arcpy.AddGeometryAttributes_management(r"in_memory\union","CENTROID")342 arcpy.AddField_management(r"in_memory\union","XYco","TEXT")343 arcpy.CalculateField_management(r"in_memory\union","XYco","str(!CENTROID_X!) + str(!CENTROID_Y!)","PYTHON_9.3")344 # run two summary reports per parcel, working out the minimum STATUS_YR and the maximum evaluation_id (i.e. whether assessed or not)345 arcpy.Statistics_analysis(r"in_memory\union",r"in_memory\out_styr_stats",[["STATUS_YR","MIN"]],"XYco")346 arcpy.Statistics_analysis(r"in_memory\union",r"in_memory\out_assid_stats",[["evaluation_id","MAX"]],"XYco")347 # delete identical (XYco) - (i.e. make it flat, removing intra-national overlaps), and repair it348 arcpy.DeleteIdentical_management(r"in_memory\union","XYco")349 arcpy.RepairGeometry_management(r"in_memory\union","DELETE_NULL","OGC")350 # split it up further by intersecting each country with the basemap351 arcpy.PairwiseIntersect_analysis([r"in_memory\union",in_basemap_spat],r"in_memory\intersect")352 arcpy.RepairGeometry_management(r"in_memory\intersect","DELETE_NULL","OGC")353 # add in the earliest designation date and whether it was assessed to each segment354 arcpy.JoinField_management(r"in_memory\intersect","XYco",r"in_memory\out_styr_stats","XYco", 'MIN_STATUS_YR')355 arcpy.JoinField_management(r"in_memory\intersect","XYco",r"in_memory\out_assid_stats","XYco", 'MAX_evaluation_id')356 # project the output into mollweide357 out_proj = desc.basename+"_union_intersect_project"358 arcpy.Project_management(r"in_memory\intersect",out_proj,in_mollweideprj)359 arcpy.RepairGeometry_management(out_proj,"DELETE_NULL","OGC")360 arcpy.AddGeometryAttributes_management(out_proj,"AREA","","SQUARE_KILOMETERS",in_mollweideprj)361 # for national reporting they can't report by ABNJ, so we treat areas in geographical ABNJ as actually being part of the ISO3's EEZ362 arcpy.CalculateField_management(out_proj,"type","!type!.replace('ABNJ','EEZ')", 'PYTHON3')363 # create national pa summary statistics364 arcpy.Statistics_analysis(out_proj,r"in_memory\out_styr_sum_current",[["POLY_AREA","SUM"]],["WDPA_ISO3","type"])365 out_styr_sum_temporal = desc.basename+"_summary"366 arcpy.Statistics_analysis(out_proj,r"in_memory\out_styr_sum_temporal",[["POLY_AREA","SUM"]],["WDPA_ISO3","MIN_STATUS_YR","type"])367 # pivot the national temporal pa summary368 arcpy.PivotTable_management(r"in_memory\out_styr_sum_temporal",["WDPA_ISO3","MIN_STATUS_YR"],"type","SUM_POLY_AREA",r"in_memory\out_styr_sum_temporal_pivot")369 # update current national field names (if they exist), replace <Null> with 0, add ABNJ area to EEZ field370 if len(arcpy.ListFields(r"in_memory\out_styr_sum_temporal_pivot","WDPA_ISO3"))!=0:371 arcpy.AlterField_management(r"in_memory\out_styr_sum_temporal_pivot","WDPA_ISO3","iso3")372 if len(arcpy.ListFields(r"in_memory\out_styr_sum_temporal_pivot","MIN_STATUS_YR"))!=0:373 arcpy.AlterField_management(r"in_memory\out_styr_sum_temporal_pivot","MIN_STATUS_YR","year")374 if len(arcpy.ListFields(r"in_memory\out_styr_sum_temporal_pivot","Land"))!=0:375 arcpy.AlterField_management(r"in_memory\out_styr_sum_temporal_pivot","Land","pa_land_area")376 arcpy.CalculateField_management(r"in_memory\out_styr_sum_temporal_pivot","pa_land_area","updateValue(!pa_land_area!)","PYTHON_9.3", in_codeblock1)377 if len(arcpy.ListFields(r"in_memory\out_styr_sum_temporal_pivot","EEZ"))!=0:378 arcpy.AlterField_management(r"in_memory\out_styr_sum_temporal_pivot","EEZ","pa_marine_area")379 arcpy.CalculateField_management(r"in_memory\out_styr_sum_temporal_pivot","pa_marine_area","updateValue(!pa_marine_area!)","PYTHON_9.3", in_codeblock1)380 if len(arcpy.ListFields(r"in_memory\out_styr_sum_temporal_pivot","NET_POLY_AREA"))!=0:381 arcpy.AddField_management(r"in_memory\out_styr_sum_temporal_pivot","pa_land_area_net_km2","LONG")382 arcpy.CalculateField_management(r"in_memory\out_styr_sum_temporal_pivot","pa_land_area_net_km2","accumulate(!pa_land_area!)","PYTHON_9.3", in_codeblock2)383 arcpy.AddField_management(r"in_memory\out_styr_sum_temporal_pivot","pa_marine_area_net_km2","LONG")384 arcpy.CalculateField_management(r"in_memory\out_styr_sum_temporal_pivot","pa_marine_area_net_km2","accumulate(!pa_marine_area!)","PYTHON_9.3", in_codeblock2)385 # append each of the national pa coverage tables into a clean precooked schema and all of the temporal pivot tables into another clean precooked schema386 arcpy.Append_management(r"in_memory\out_styr_sum_current",out_national_current_schema,"NO_TEST")387 arcpy.Append_management(r"in_memory\out_styr_sum_temporal",out_national_temporal_schema,"NO_TEST")388 # select the areas where there has been a pame assessment to only run statistics on those areas389 arcpy.Select_analysis(out_proj,r"in_memory\out_ass_sites","MAX_evaluation_id >= 1")390 # create national pa PAME summary statistics391 arcpy.Statistics_analysis(r"in_memory\out_ass_sites",r"in_memory\out_ass_sum_current",[["POLY_AREA","SUM"]],["WDPA_ISO3","type"])392 arcpy.Statistics_analysis(r"in_memory\out_ass_sites",r"in_memory\out_ass_sum_temporal",[["POLY_AREA","SUM"]],["WDPA_ISO3","MIN_STATUS_YR","type"])393 # append each of the national pa PAME coverage tables into a clean precooked schema and all of the temporal PAME data into another clean precooked schema394 arcpy.Append_management(r"in_memory\out_ass_sum_current",out_national_current_schema_pame,"NO_TEST")395 arcpy.Append_management(r"in_memory\out_ass_sum_temporal",out_national_temporal_schema_pame,"NO_TEST")396 # delete the in_memory workspace before starting the next country397 arcpy.Delete_management(r"in_memory")398# we now return back to the original workspace399arcpy.env.workspace = str(workspace)400# NATIONAL CURRENT REPORTS401# create summary tables for national status402# pivot the current national summary tables403arcpy.PivotTable_management(out_national_current_schema,"WDPA_ISO3","type","SUM_AREA_GEO","national_summary_statistics_current_pivot")404# rename fields405arcpy.AlterField_management("national_summary_statistics_current_pivot","WDPA_ISO3","iso3")406arcpy.AlterField_management("national_summary_statistics_current_pivot","Land","pa_land_area")407arcpy.AlterField_management("national_summary_statistics_current_pivot","EEZ","pa_marine_area")408# add the current national fields to calculate percentage coverage409arcpy.AddField_management("national_summary_statistics_current_pivot","percentage_pa_land_cover","FLOAT")410arcpy.AddField_management("national_summary_statistics_current_pivot","percentage_pa_marine_cover","FLOAT")411# join current national to the basemap412arcpy.JoinField_management("national_summary_statistics_current_pivot","iso3",in_basemap_tab,"GEO_ISO3",["land_area", "marine_area"])413# calculate current national fields and replace <Null> values with 0414arcpy.CalculateField_management("national_summary_statistics_current_pivot","percentage_pa_land_cover","(!pa_land_area! / !land_area!)*100","PYTHON_9.3")415arcpy.CalculateField_management("national_summary_statistics_current_pivot","percentage_pa_marine_cover","(!pa_marine_area! / !marine_area!)*100","PYTHON_9.3")416arcpy.CalculateField_management("national_summary_statistics_current_pivot","pa_land_area","updateValue(!percentage_pa_land_cover!)","PYTHON_9.3", in_codeblock1)417arcpy.CalculateField_management("national_summary_statistics_current_pivot","pa_marine_area","updateValue(!percentage_pa_marine_cover!)","PYTHON_9.3", in_codeblock1)418arcpy.CalculateField_management("national_summary_statistics_current_pivot","percentage_pa_land_cover","updateValue(!percentage_pa_land_cover!)","PYTHON_9.3", in_codeblock1)419arcpy.CalculateField_management("national_summary_statistics_current_pivot","percentage_pa_marine_cover","updateValue(!percentage_pa_marine_cover!)","PYTHON_9.3", in_codeblock1)420# pivot the current national pame summary tables421arcpy.PivotTable_management(out_national_current_schema_pame,"WDPA_ISO3","type","SUM_AREA_GEO","national_summary_statistics_current_pivot_pame")422# rename fields423arcpy.AlterField_management("national_summary_statistics_current_pivot_pame","WDPA_ISO3","iso3")424arcpy.AlterField_management("national_summary_statistics_current_pivot_pame","Land","pame_pa_land_area")425arcpy.AlterField_management("national_summary_statistics_current_pivot_pame","EEZ","pame_pa_marine_area")426# Join the current national pame table to the current natioanl table427arcpy.JoinField_management("national_summary_statistics_current_pivot","iso3","national_summary_statistics_current_pivot_pame","iso3",["pame_pa_land_area", "pame_pa_marine_area"])428# calculate pame percentage fields429arcpy.AddField_management("national_summary_statistics_current_pivot","pame_percentage_pa_land_cover","FLOAT")430arcpy.AddField_management("national_summary_statistics_current_pivot","pame_percentage_pa_marine_cover","FLOAT")431arcpy.CalculateField_management("national_summary_statistics_current_pivot","pame_percentage_pa_land_cover","(!pame_pa_land_area! / !land_area!)*100","PYTHON_9.3")432arcpy.CalculateField_management("national_summary_statistics_current_pivot","pame_percentage_pa_marine_cover","(!pame_pa_marine_area! / !marine_area!)*100","PYTHON_9.3")433# update all pame fields so that <Null> is replaced by 0434arcpy.CalculateField_management("national_summary_statistics_current_pivot","pame_pa_marine_area","updateValue(!pame_pa_marine_area!)","PYTHON_9.3", in_codeblock1)435arcpy.CalculateField_management("national_summary_statistics_current_pivot","pame_pa_land_area","updateValue(!pame_pa_land_area!)","PYTHON_9.3", in_codeblock1)436arcpy.CalculateField_management("national_summary_statistics_current_pivot","pame_percentage_pa_land_cover","updateValue(!pame_percentage_pa_land_cover!)","PYTHON_9.3", in_codeblock1)437arcpy.CalculateField_management("national_summary_statistics_current_pivot","pame_percentage_pa_marine_cover","updateValue(!pame_percentage_pa_marine_cover!)","PYTHON_9.3", in_codeblock1)438elapsed_minutes = (time.clock() - start)/60439elapsed_hours = (time.clock() - start)/3600440print ("scripts finished - all good")441print ("Outputs are here: " + str(workspace))442print ("Total running time: " + str(elapsed_minutes) + " minutes (" + str(elapsed_hours) + " hours)")443##### BELOW HERE IS A WORK IN PROGRESS AND HASHTAGGED OUT FOR NOW444# NATIONAL TEMPORAL REPORTS445# pivot the temporal national summary tables446#arcpy.PivotTable_management(out_national_temporal_schema,["WDPA_ISO3","MIN_STATUS_YR"],"type","SUM_AREA_GEO","national_summary_statistics_temporal_pivot")447# join temporal national to the basemap448#arcpy.JoinField_management("national_summary_statistics_temporal_pivot","WDPA_ISO3",in_basemap_tab,"GEO_ISO3",["land_area", "marine_area"])449# update the temporal national field names450#arcpy.AlterField_management("national_summary_statistics_temporal_pivot","WDPA_ISO3","iso3")451#arcpy.AlterField_management("national_summary_statistics_temporal_pivot","Land","pa_land_area")452#arcpy.AlterField_management("national_summary_statistics_temporal_pivot","EEZ","pa_marine_area")453#arcpy.AlterField_management("national_summary_statistics_temporal_pivot","MIN_STATUS_YR","year")454# update all the temporal natioanl fields so that they are 0 instead of Null455#arcpy.CalculateField_management("national_summary_statistics_temporal_pivot","pa_land_area","updateValue(!pa_land_area!)","PYTHON_9.3", in_codeblock1)456#arcpy.CalculateField_management("national_summary_statistics_temporal_pivot","pa_marine_area","updateValue(!pa_marine_area!)","PYTHON_9.3", in_codeblock1)457#arcpy.CalculateField_management("national_summary_statistics_temporal_pivot","percentage_pa_land_cover","updateValue(!percentage_pa_land_cover!)","PYTHON_9.3", in_codeblock1)458#arcpy.CalculateField_management("national_summary_statistics_temporal_pivot","percentage_pa_marine_cover","updateValue(!percentage_pa_marine_cover!)","PYTHON_9.3", in_codeblock1)459## UPDATE THE NET FIELD IN HERE TO REMOVE '0' VALUES?460# add the fields to calculate percentage coverage and calculate them461#arcpy.AddField_management("national_summary_statistics_temporal_pivot","percentage_pa_land_cover","FLOAT")462#arcpy.AddField_management("national_summary_statistics_temporal_pivot","percentage_pa_marine_cover","FLOAT")463#arcpy.CalculateField_management("national_summary_statistics_temporal_pivot","percentage_pa_land_cover","(!pa_land_area! / !land_area!)*100","PYTHON_9.3")464#arcpy.CalculateField_management("national_summary_statistics_temporal_pivot","percentage_pa_marine_cover","(!pa_marine_area! / !marine_area!)*100","PYTHON_9.3")465# add in net fields and calculate them466#arcpy.AddField_management("national_summary_statistics_temporal_pivot","pa_marine_cover_net_km2","LONG")467#arcpy.CalculateField_management("national_summary_statistics_temporal_pivot","pa_marine_area_net_km2","updateValue(!pa_marine_area_net_km2!)","PYTHON_9.3", in_codeblock1)468#arcpy.AddField_management("national_summary_statistics_temporal_pivot","pa_land_cover_net_km2","LONG")469#arcpy.CalculateField_management("national_summary_statistics_temporal_pivot","pa_land_area_net_km2","updateValue(!pa_land_area_net_km2!)","PYTHON_9.3", in_codeblock1)470#arcpy.AddField_management("national_summary_statistics_temporal_pivot","pa_marine_cover_net_perc","LONG")471#arcpy.CalculateField_management("national_summary_statistics_temporal_pivot","pa_marine_cover_net_perc","(!pa_marine_area_net_km2! / !marine_area!)*100","PYTHON_9.3")472#arcpy.AddField_management("national_summary_statistics_temporal_pivot","pa_land_cover_net_perc","LONG")473#arcpy.CalculateField_management("national_summary_statistics_temporal_pivot","pa_land_cover_net_perc","(!pa_land_area_net_km2! / !land_area!)*100","PYTHON_9.3")474# Finish running scripts...
SHPO_General_Tools.pyt
Source:SHPO_General_Tools.pyt
1"""2Name: SHPO_General_Tools.pyt3Author: Michael D. Troyer4 with contributions by Benjamin Zank5Date: August 11, 20166Version: 2.0 (Beta)7ArcGIS Version: 10.3 (requires Advanced License)89As-is, No Warranty, etc.1011Direct comments to:1213 Michael Troyer14 mtroyer@blm.gov / 719-269-85871516Upon failure:1718 Screenshot the error message19 and the tool input UI [relaunch from results window]2021 and send to Michael Troyer at mtroyer@blm.gov2223-------------------------------------------------------------------------------24PURPOSE AND USAGE:2526The SHPO General Tools script creates output data regarding an input polygon27in order to streamline the collection and input of project data into the SHPO28data system.2930Specifically, the SHPO General Tools python toolbox accepts an input polygon and31generates three output data files.3233INPUTS:3435- A polygon representing a site or survey boundary. The polygon can be multipart36or single part, but must represent a single project. If the input polygon37represents more than one unique project (the project id field returns more38than one unique ID, the tool will exit and direct the user to use a subselection39of the data. The subselection can be performed in ArcMap, using the various40select tools, or within the tool itself. Within the tool dialog, the41user has the ability to select specific features from within the input polygon42according to a FIELD and VALUE query. In this case, the user clicks Selection43Based on Case Value and then selects the appropriate field from the Select44Feature Case Field drop-down. The tool will identify a subset of the feature45layer based on the values contained within the selected field.4647OUTPUTS:48491.) A .csv file of the input polygon vertex coordinates in X/Y format. 50The tool will recognize mulitpart features and assign a generic, 51sequential ID to the individual parts so that they can be individually 52recognized and managed within the output .csv file.53542.) A .csv of the PLSS legal location of the input polygon. The .csv contains55the following fields: feature ID, PM, TWN, RNG, SEC, QQ1, and QQ2.56573.) A .txt file with the feature ID, polygon acreage, counties, quads, elevation58at the project centroid, the polygon centroid coordinates in X/Y format (if a59single polygon, the tool will not generate a centroid location for a multipart60or multiple feature since that centroid will likely fall outside the polygon61boundary), and the PLSS location.6263The tool will also update the geometry data of the input polygon64(area, perimeter, acres, and X and Y coordinates).65-------------------------------------------------------------------------------66"""6768import arcpy, os, sys, traceback, csv69from arcpy import env70env.addOutputsToMap = False71env.overwriteOutput = True727374class Toolbox(object):75 def __init__(self):76 self.label = "SHPO_General_Tools"77 self.alias = "SHPO_General_Tools"7879 # List of tool classes associated with this toolbox80 self.tools = [SHPO_General_Tools]818283class SHPO_General_Tools(object):84 def __init__(self):85 self.label = "SHPO_General_Tools"86 self.description = ""87 self.canRunInBackground = False88 89 def getParameterInfo(self):90 # Input Target Shapefile91 param0=arcpy.Parameter(92 displayName="Input Shapefile or Feature Class",93 name="Input_Shape",94 datatype="Feature Layer",95 parameterType="Required",96 direction="Input")97 param0.filter.list = ["Polygons"]9899 # Allow sub-selections100 param1=arcpy.Parameter(101 displayName="Selection Based on Case Value",102 name="Select_Boolean",103 datatype="Boolean",104 parameterType="Optional",105 direction="Input",106 enabled = "False")107 108 param2=arcpy.Parameter(109 displayName="Select Feature Case Field",110 name="Select_Field",111 datatype="String",112 parameterType="Optional",113 direction="Input",114 enabled = "False")115 116 param3=arcpy.Parameter(117 displayName="Select Feature Case Value",118 name="Select_Value",119 datatype="String",120 parameterType="Optional",121 direction="Input",122 enabled = "False")123 124 # Output Location and Name125 param4=arcpy.Parameter(126 displayName="Output Workspace and File Naming Convention",127 name="Out_Name",128 datatype="File",129 parameterType="Required",130 direction="Output")131132 # Quad Index133 param5=arcpy.Parameter(134 displayName="Input Quadrangle Index Layer",135 name="Input_Quad",136 datatype="Feature Layer",137 parameterType="Required",138 direction="Input")139 140 # County Layer141 param6=arcpy.Parameter(142 displayName="Input County Index Layer",143 name="Input_County",144 datatype="Feature Layer",145 parameterType="Required",146 direction="Input")147 148 # DEM149 param7=arcpy.Parameter(150 displayName="Input DEM Raster",151 name="Input_DEM",152 datatype="Raster Layer",153 parameterType="Required",154 direction="Input")155 156 # PLSS157 param8=arcpy.Parameter(158 displayName="Input PLSS Survey Grid Layer",159 name="Input_PLSS",160 datatype="Feature Layer",161 parameterType="Required",162 direction="Input")163 164 params = [param0, param1, param2, param3, param4, param5, param6, param7, param8]165 return params166167 def updateParameters(self, params):168 """Modify the values and properties of parameters before internal169 validation is performed. This method is called whenever a parameter170 has been changed."""171 172 # Params 0-3 - Input shape and handle sub-selections173 if params[0].value:174 params[1].enabled = "True"175 else:176 params[1].enabled = "False"177 178 if params[1].value == 1:179 fieldtypeList = ["String", "Integer"]180 desc = arcpy.Describe(params[0].value)181 fields = desc.fields182 featurefieldList = [field.name for field in fields if field.type in fieldtypeList]183 params[2].enabled = "True"184 params[2].filter.type = "ValueList"185 params[2].filter.list = featurefieldList186 else:187 params[2].value = ""188 params[2].enabled = "False"189 190 if params[2].value:191 field_select = params[2].value192 arcpy.Frequency_analysis(params[0].value, "in_memory\\field_freq", field_select)193 featurevalueList = []194 for field in fields:195 if field.name == field_select:196 type = field.type197 if type == "Integer":198 where = '"'+field_select+'" IS NOT NULL'199 elif type == "String":200 where = '"'+field_select+'" IS NOT NULL AND NOT "'+field_select+'" = '+"'' AND NOT "+'"'+field_select+'" = '+"' '"201 with arcpy.da.SearchCursor("in_memory\\field_freq", [field_select], where)as cursor:202 for row in cursor:203 featurevalueList.append(row[0])204 featurevalueList.sort()205 params[3].enabled = "True"206 params[3].filter.type = "ValueList"207 params[3].filter.list = featurevalueList208 else:209 params[3].value = ""210 params[3].enabled = "False"211212 # Param 5 - Quad default value213 if not params[5].altered:214 params[5].value = " H:\Zone 13 Basemaps - 83\qdindex.shp" 215216 # Param 6 - County default value217 if not params[6].altered:218 params[6].value = "H:\Zone 13 Basemaps - 83\Counties.shp" 219220 # Param 7 - DEM default value221 # SHPO inDEM = r'H:\Zone 13 Basemaps - 83\222 if not params[7].altered:223 params[7].value = "" 224225 # Param 8 - PLSS default value226 if not params[8].altered:227 params[8].value = "H:\ToolboxesArc10\PLSSIntersected.gdb\CO_PLSSIntersected" 228 return229230 def updateMessages(self, params):231 """Modify the messages created by internal validation for each tool232 parameter. This method is called after internal validation."""233 return234 235 def isLicensed(self):236 """Set whether tool is licensed to execute."""237 if arcpy.CheckProduct("ArcInfo") == "Available":238 return True239 else:240 msg = "ArcGIS for Desktop Advanced License is not available. Install Advanced Licnese and try again."241 sys.exit(msg)242243 def execute(self, params, messages):244 # Define workspace locations - can also use os.path.join()245 arcpy.env.workspace = os.path.dirname(params[4].valueAsText)+"\\"+os.path.basename(params[4].valueAsText)246 dirName = os.path.dirname(params[4].valueAsText)247 baseName = os.path.dirname(params[4].valueAsText)+"\\"+os.path.basename(params[4].valueAsText)248249 # Define base data sources250 inDEM = params[7].valueAsText251 inQuad = params[5].valueAsText252 inCounty = params[6].valueAsText253 inPLSS = params[8].valueAsText254255 # Define Functions:256 def deleteInMemory():257 #Set the workspace to in_memory258 env.workspace = "in_memory"259 #Delete all in memory feature classes260 fcs = arcpy.ListFeatureClasses()261 if len(fcs) > 0:262 for fc in fcs:263 arcpy.Delete_management(fc)264 #Delete all in memory tables 265 tbls = arcpy.ListTables()266 if len(tbls) > 0:267 for tbl in tbls:268 arcpy.Delete_management(tbl)269270 def getErrors():271 # Get the traceback object272 tb = sys.exc_info()[2]273 tbinfo = traceback.format_tb(tb)[0]274 # Concatenate information together concerning the error into a message string275 pymsg = "PYTHON ERRORS:\nTraceback info:\n" + tbinfo + "\nError Info:\n" + str(sys.exc_info()[1])276 msgs = "ArcPy ERRORS:\n" + arcpy.GetMessages(2) + "\n"277 # Return python error messages for use in script tool or Python Window278 arcpy.AddError(pymsg)279 arcpy.AddError(msgs)280 return pymsg, msgs281282 def selectAndPart(inPoly):283 """Check for subselection and manage singlepart/multipart/multiple parts"""284 # Check for subselection285 if params[1].value == 1:286 desc = arcpy.Describe(inPoly)287 fields = desc.fields288 for field in fields:289 if field.name == params[2].valueAsText:290 type = field.type291 selField = '"'+params[2].valueAsText+'"'292 selValue = params[3].valueAsText293 if type == "Integer":294 where = selField+' = '+selValue295 elif type == "String":296 where = selField+' = '+"'"+selValue+"'" 297 arcpy.MakeFeatureLayer_management(inPoly, "in_memory\\selected", where)298 else:299 arcpy.MakeFeatureLayer_management(inPoly, "in_memory\\selected")300 301 # Identify project ID field and get a list of individual project IDs302 desc = arcpy.Describe("in_memory\\selected")303 fieldnames = []304 for field in desc.fields:305 fieldnames.append(field.name)306 307 # for site308 if "SITE_" in fieldnames:309 projID = "SITE_"310 # for survey311 elif "DOC_" in fieldnames:312 projID = "DOC_"313 # if neither parse for shape or fc 314 elif "FID" in fieldnames:315 projID = "FID"316 elif "OBJECTID" in fieldnames:317 projID = "OBJECTID"318 319 # If more than one unique project ID, return with message to use subselection320 projectIDS = []321 with arcpy.da.SearchCursor("in_memory\\selected", projID) as cur:322 for row in cur:323 projectIDS.append(str(row[0])) 324 uniqueIDS = set(projectIDS)325 326 if not len(uniqueIDS) == 1:327 arcpy.AddMessage("------------------------------------------------------------")328 arcpy.AddMessage("\n The input feature represents more than one unique project.")329 arcpy.AddMessage("\n Please use the field and value subselection function to identify a single project.")330 arcpy.AddMessage("\n The SHPO General Tools script will now exit.\n")331 arcpy.AddMessage("------------------------------------------------------------")332 sys.exit()333 334 # Check for multiple features of the same project - dissolve on projID335 else:336 if len(projectIDS) > 1:337 arcpy.Dissolve_management("in_memory\\selected", "in_memory\\singleFeature", [projID])338 else:339 arcpy.MakeFeatureLayer_management("in_memory\\selected", "in_memory\\singleFeature")340 341 # Check for multipart - create single part and multipart versions342 desc = arcpy.Describe("in_memory\\singleFeature")343 shape_field = desc.ShapeFieldName344 rows = arcpy.SearchCursor("in_memory\\singleFeature")345 for row in rows:346 poly = row.getValue(shape_field)347 if poly.isMultipart:348 arcpy.MultipartToSinglepart_management("in_memory\\singleFeature", "in_memory\\multiFeatures")349 else:350 #if singlepart, just create a copy named multipart351 arcpy.MakeFeatureLayer_management("in_memory\\singleFeature", "in_memory\\multiFeatures") 352353 singleFeature = "in_memory\\singleFeature"354 multiFeature = "in_memory\\multiFeatures"355 return singleFeature, multiFeature356357 def outTable(inPoly):358 """Creates a table of input ID, quads, counties, and PLSS data"""359 360 # Execute CreateTable361 arcpy.CreateTable_management("in_memory", "output")362363 # Add fields to table364 desc = arcpy.Describe(inPoly)365 fieldnames = []366 for field in desc.fields:367 fieldnames.append(field.name)368 # for site369 if "SITE_" in fieldnames:370 projID = "SITE_"371 # for survey372 elif "DOC_" in fieldnames:373 projID = "DOC_"374 # if neither parse for shape or fc 375 elif "FID" in fieldnames:376 projID = "FID"377 elif "OBJECTID" in fieldnames:378 projID = "OBJECTID"379380 # Add the fields to the table381 arcpy.AddField_management("in_memory\\output", projID, "TEXT", "", "", 50)382 arcpy.AddField_management("in_memory\\output", "PM", "TEXT","","",6)383 arcpy.AddField_management("in_memory\\output", "TWN", "TEXT","","",6)384 arcpy.AddField_management("in_memory\\output", "RNG", "TEXT","","",6)385 arcpy.AddField_management("in_memory\\output", "SEC", "TEXT","","",4)386 arcpy.AddField_management("in_memory\\output", "QQ1", "TEXT","","",4)387 arcpy.AddField_management("in_memory\\output", "QQ2", "TEXT","","",4)388 389 # Create insert cursor390 inCur = arcpy.da.InsertCursor("in_memory\\output", [projID, "PM", "TWN", "RNG", "SEC", "QQ1", "QQ2"])391392 # Peel back input polygon 10 meters to prevent extranneous boundary overlap - particulurly PLSS393 # If poly(s) is too small and gets erased, keep original(s)394 arcpy.MakeFeatureLayer_management(inPoly, "in_memory\\polycopy")395 arcpy.PolygonToLine_management("in_memory\\polycopy", "in_memory\\polylines")396 arcpy.Buffer_analysis("in_memory\\polylines", "in_memory\\polybuffer", 10)397 arcpy.Erase_analysis("in_memory\\polycopy", "in_memory\\polybuffer", "in_memory\\PLSSpoly")398 inResult=int(arcpy.GetCount_management("in_memory\\polycopy").getOutput(0))399 outResult=int(arcpy.GetCount_management("in_memory\\PLSSpoly").getOutput(0))400 if not inResult == outResult:401 arcpy.Delete_management("in_memory\\PLSSpoly")402 arcpy.MakeFeatureLayer_management(inPoly, "in_memory\\PLSSpoly")403 arcpy.Delete_management("in_memory\\polycopy")404 arcpy.Delete_management("in_memory\\polylines")405 arcpy.Delete_management("in_memory\\polybuffer")406407 # Intersect locations408 arcpy.Intersect_analysis(["in_memory\\PLSSpoly", inPLSS], "in_memory\\locations", "NO_FID")409410 # Secure site/survey id411 inRow0 = str([row[0] for row in arcpy.da.SearchCursor(inPoly, projID)])412413 # Sort PLSS 414 freqFields = ["PLSSID","FRSTDIVNO","QQSEC"]415 arcpy.Frequency_analysis("in_memory\\locations", "in_memory\\PLSS", freqFields)416 with arcpy.da.SearchCursor("in_memory\\PLSS", freqFields) as cursor:417 for row in cursor:418 #inRow[1] = PM419 inRow1 = str(row[0])[2:4]420 #inRow[2] = Twn 421 inRow2 = str(row[0])[5:7]+str(row[0])[8]422 #inRow[3] = Rng423 inRow3 = str(row[0])[10:12]+str(row[0])[13]424 #inRow[4] = Sec425 inRow4 = str(row[1])426 #inRow[5] = Quar1427 inRow5 = str(row[2])[0:2]428 #inRow[6] = Quar2429 inRow6 = str(row[2])[2:4]430 inCur.insertRow([inRow0, inRow1, inRow2, inRow3, inRow4, inRow5, inRow6])431432 # Write to .csv - use an intermediate to clean up extraneous fields - OID 433 tempTable = baseName+"_temp.csv"434 outTable = baseName+"_PLSS_Data.csv"435 arcpy.CopyRows_management("in_memory\\output", tempTable)436 arcpy.Delete_management("in_memory\\output")437438 # Clean up csv - remove OID field439 with open(tempTable,"rb") as source:440 rdr = csv.reader(source)441 with open(outTable,"wb") as result:442 wtr = csv.writer(result)443 for r in rdr:444 wtr.writerow((r[1], r[2], r[3], r[4], r[5], r[6], r[7]))445 # Clean up446 os.remove(tempTable)447 os.remove(baseName+"_temp.txt.xml")448 os.remove(dirName+"\\"+"schema.ini")449 return 450451 def outText(inPoly):452 """Creates a text file of input ID, acreage, county(s),453 quad(s), centroid (if single polygon), and PLSS data"""454 455 # Get project ID 456 desc = arcpy.Describe(inPoly)457 fieldnames = []458 for field in desc.fields:459 fieldnames.append(field.name)460 # for site461 if "SITE_" in fieldnames:462 projID = "SITE_"463 # for survey464 elif "DOC_" in fieldnames:465 projID = "DOC_"466 # if neither parse for shape or fc 467 elif "FID" in fieldnames:468 projID = "FID"469 elif "OBJECTID" in fieldnames:470 projID = "OBJECTID"471 472 # Peel back input polygon boundary 10 meters to prevent473 # extranneous PLSS boundary overlap for PLSS caclculation474 arcpy.MakeFeatureLayer_management(inPoly, "in_memory\\polycopy")475 arcpy.PolygonToLine_management("in_memory\\polycopy", "in_memory\\polylines")476 arcpy.Buffer_analysis("in_memory\\polylines", "in_memory\\polybuffer", 10)477 arcpy.Erase_analysis("in_memory\\polycopy", "in_memory\\polybuffer", "in_memory\\PLSSpoly")478 arcpy.Delete_management("in_memory\\polycopy")479 arcpy.Delete_management("in_memory\\polylines")480 arcpy.Delete_management("in_memory\\polybuffer")481482 # Intersect locations483 arcpy.Intersect_analysis(["in_memory\\PLSSpoly", inPLSS, inCounty, inQuad], "in_memory\\locations", "NO_FID")484 485 # Secure site/survey id486 projectValue = ([row[0] for row in arcpy.da.SearchCursor(inPoly, projID)])487 projectID = "Feature ID: "+str(projectValue[0])488 489 # Sort counties490 arcpy.Frequency_analysis("in_memory\\locations", "in_memory\\County", "NAME")491 ###arcpy.Frequency_analysis("in_memory\\locations", "in_memory\\County", "COUNTY") # this is for BLM testing492 countyList = []493 ###with arcpy.da.SearchCursor("in_memory\\County", ["COUNTY"]) as cursor: # this is for BLM testing494 with arcpy.da.SearchCursor("in_memory\\County", ["NAME"]) as cursor:495 for row in cursor:496 countyList.append(str(row[0]).title()+" County")497 arcpy.Delete_management("in_memory\\County")498 countyText = "Counties: "+", ".join(countyList)499 500 # Sort Quads501 arcpy.Frequency_analysis("in_memory\\locations", "in_memory\\Quad", "QUAD_NAME")502 quadList = []503 with arcpy.da.SearchCursor("in_memory\\Quad", ["QUAD_NAME"]) as cursor:504 for row in cursor:505 quadList.append(str(row[0]).title()+" 7.5'")506 arcpy.Delete_management("in_memory\\Quad")507 quadText = "Quads: "+", ".join(quadList)508509 # Extract Elevation at centroid and get centroid location510 # If single polygon, create variable to signal print centroid location - default False511 arcpy.FeatureToPoint_management(inPoly, "in_memory\\centroid", "CENTROID")512 printCentroid = 0513 desc = arcpy.Describe(inPoly)514 shape_field = desc.ShapeFieldName515 rows = arcpy.SearchCursor(inPoly)516 for row in rows:517 poly = row.getValue(shape_field)518 if not poly.isMultipart:519 printCentroid = 1520 with arcpy.da.SearchCursor("in_memory\\centroid",["SHAPE@"]) as cursor:521 for row in cursor:522 centroidX = row[0].centroid.X523 centroidY = row[0].centroid.Y524 centroidPrint = "Polygon centroid: "+str(int(round(centroidX)))+" mE "+str(int(round(centroidY)))+" mN"525 arcpy.sa.ExtractValuesToPoints("in_memory\\centroid", inDEM, "in_memory\\centValue", "NONE", "VALUE_ONLY")526 elePrint = int(round([row[0] for row in arcpy.da.SearchCursor("in_memory\\centValue", "RASTERVALU")][0])) 527 elevText = "Elevation at project centroid: "+str(elePrint)528 529 # Sort PLSS 530 freqFields = ["PLSSID","FRSTDIVNO","QQSEC"]531 arcpy.Frequency_analysis("in_memory\\locations", "in_memory\\PLSS", freqFields)532 PLSSlist = []533 with arcpy.da.SearchCursor("in_memory\\PLSS", freqFields) as cursor:534 for row in cursor:535 PMtext = str(row[0])[2:4]536 TWNtext = str(row[0])[5:7]+str(row[0])[8]537 RNGtext = str(row[0])[10:12]+str(row[0])[13]538 SECtext = str(row[1])539 QQ1text = str(row[2])[0:2]540 QQ2text = str(row[2])[2:4]541 PLSSinput = PMtext+" "+TWNtext+" "+RNGtext+" "+SECtext+" "+QQ1text+" "+QQ2text542 PLSSlist.append(PLSSinput)543 PLSStext = ", ".join(PLSSlist)544545 # Calculate acreage and format for print w/ 2 decimal places546 with arcpy.da.UpdateCursor(inPoly,["SHAPE@"]) as cur:547 for row in cur:548 acreage = row[0].area*0.000247105549 acreagePrint = "Polygon acreage: %.2f" % acreage550 551 # Write to text file 552 outText = baseName+"_Location_Data.txt"553 textFile = open(outText, "w")554 textFile.write(projectID)555 textFile.write("\n")556 textFile.write(acreagePrint)557 textFile.write("\n")558 textFile.write(countyText)559 textFile.write("\n")560 textFile.write(quadText)561 textFile.write("\n")562 textFile.write(elevText)563 textFile.write("\n")564 if printCentroid:565 textFile.write(centroidPrint)566 textFile.write("\n")567 textFile.write("\n")568 textFile.write("PLSS Location")569 textFile.write("\n")570 for plss in PLSSlist:571 textFile.write(plss)572 textFile.write("\n")573 textFile.close()574 return575576 def updateInput(inPoly): 577 """Update the input polygon attributes"""578 579 # Check if fields exist - if not, add them580 fields = ["SHAPE@", "AREA", "PERIMETER","ACRES", "X", "Y"]581 fieldList = arcpy.ListFields(inPoly)582 if not "AREA" in fieldList:583 arcpy.AddField_management(inPoly, "AREA", "DOUBLE",15,3)584 if not "PERIMETER" in fieldList:585 arcpy.AddField_management(inPoly, "PERIMETER", "DOUBLE",15,3)586 if not "ACRES" in fieldList:587 arcpy.AddField_management(inPoly, "ACRES", "DOUBLE",15,3)588 if not "X" in fieldList:589 arcpy.AddField_management(inPoly, "X", "LONG",6)590 if not "Y" in fieldList:591 arcpy.AddField_management(inPoly, "Y", "LONG",7)592593 # Update the fields 594 with arcpy.da.UpdateCursor(inPoly,fields) as cur:595 for row in cur:596 row[1] = row[0].area597 row[2] = row[0].length598 row[3] = row[0].area*0.000247105599 row[4] = row[0].centroid.X600 row[5] = row[0].centroid.Y 601 cur.updateRow(row)602 return603604 def getCoords(inPoly): 605 """Get vertice coordiantes and write to csv, assign arbitrary ID to multiple parts"""606 607 # Create the tables - use an intermediary to clean up fieds608 tempTable = baseName+"_temp.csv"609 outTable = baseName+"_Coordinates.csv"610611 # Execute Feature Vertices to Points - THIS REQUIRES AN ADVANCED LICENSE612 arcpy.FeatureVerticesToPoints_management(inPoly, "in_memory\\vertPoints", "ALL")613614 # Add Fields XCOORD, YCOORD615 arcpy.AddField_management("in_memory\\vertPoints", "XCOORD", "LONG",6)616 arcpy.AddField_management("in_memory\\vertPoints", "YCOORD", "LONG",7)617 with arcpy.da.UpdateCursor("in_memory\\vertPoints",["SHAPE@", "XCOORD", "YCOORD"]) as cursor:618 for row in cursor:619 row[1] = row[0].centroid.X620 row[2] = row[0].centroid.Y621 cursor.updateRow(row)622 arcpy.DeleteIdentical_management("in_memory\\vertPoints", ["XCOORD", "YCOORD"])623 arcpy.ExportXYv_stats("in_memory\\vertPoints", ["ORIG_FID","XCOORD","YCOORD"], "COMMA", tempTable, "ADD_FIELD_NAMES")624625 # Clean up csv - remove OID field626 with open(tempTable,"rb") as source:627 rdr = csv.reader(source)628 with open(outTable,"wb") as result:629 wtr = csv.writer(result)630 for r in rdr:631 if r[2] == "ORIG_FID":632 r[2] = "ID"633 wtr.writerow((r[2], r[3], r[4]))634635 # Clean up636 os.remove(tempTable)637 os.remove(baseName+"_temp.txt.xml")638 return639 try:640 """With all functions defined, unpack selectAndPart return tuple for use641 in other functions. Execute outTable, outText, updateInput, and getCoords.642 Return exceptions."""643 single, multi = selectAndPart(params[0].value)644 outTable(single)645 outText(single)646 updateInput(params[0].value)647 getCoords(multi)648649 650 except SystemExit:651 arcpy.AddMessage("System Exit")652 except arcpy.ExecuteError: 653 # Get the tool error messages 654 msgs = arcpy.GetMessages(2) 655 # Return tool error messages for use with a script tool 656 arcpy.AddError(msgs)657 except:658 getErrors()659 660 finally:661 #Clean everything out
...
Automation Testing Tutorials
Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.
LambdaTest Learning Hubs:
- JUnit Tutorial
- TestNG Tutorial
- Webdriver Tutorial
- WebDriverIO Tutorial
- Protractor Tutorial
- Selenium 4 Tutorial
- Jenkins Tutorial
- NUnit Tutorial
- Jest Tutorial
- Playwright Tutorial
- Cypress Tutorial
- PyTest Tutorial
YouTube
You could also refer to video tutorials over LambdaTest YouTube channel to get step by step demonstration from industry experts.
Run localstack automation tests on LambdaTest cloud grid
Perform automation testing on 3000+ real desktop and mobile devices online.
Try LambdaTest Now !!
Get 100 minutes of automation test minutes FREE!!
Was this article helpful?
