Data-Wrangling-Toolbox-For-ArcGIS/Data Wrangling.createWorkspaceFeatCrossRef.pyt.xml at main · GeoCodable/Data-Wrangling-Toolbox-For-ArcGIS · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
<?xml version="1.0"?>
<metadata xml:lang="en"><Esri><CreaDate>20221024</CreaDate><CreaTime>15202000</CreaTime><ArcGISFormat>1.0</ArcGISFormat><SyncOnce>TRUE</SyncOnce><ModDate>20221024</ModDate><ModTime>18141600</ModTime><scaleRange><minScale>150000000</minScale><maxScale>5000</maxScale></scaleRange><ArcGISProfile>ItemDescription</ArcGISProfile></Esri><tool name="createWorkspaceFeatCrossRef" displayname="3. Create Workspace Feature Cross Reference" toolboxalias="dataWrangling" xmlns=""><arcToolboxHelpPath>c:\program files\arcgis\pro\Resources\Help\gp</arcToolboxHelpPath><parameters><param name="wksp" displayname="Workspace or Feature Dataset" type="Required" direction="Input" datatype="Feature Dataset or Workspace or Folder" expression="wksp"><dialogReference>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Input root folder&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</dialogReference><pythonReference>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Input root folder path&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</pythonReference></param><param name="rpt_dir" displayname="Output Folder" type="Optional" direction="Input" datatype="Folder" expression="{rpt_dir}"><dialogReference>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Output folder to place the cross reference file&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</dialogReference><pythonReference>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Output folder path to place the cross reference file&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</pythonReference></param><param name="rpt_name" displayname="Output File Name" type="Optional" direction="Input" datatype="String" expression="{rpt_name}"><dialogReference>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Output cross reference file name&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</dialogReference><pythonReference>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Output cross reference file name string&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</pythonReference></param><param name="opn_op" displayname="Open Output on Complete" type="Optional" direction="Input" datatype="Boolean" expression="{opn_op}"><dialogReference>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Option to open the cross reference file after the tool completes&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</dialogReference><pythonReference>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Boolean option to open the cross reference file after the tool completes&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</pythonReference></param><param name="src_types" displayname="Data Source Types" type="Optional" direction="Input" datatype="Multiple Value" expression="{.shp | .gdb | .mdb}"><dialogReference>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;ESRI file/workspace types to include:&lt;/SPAN&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;Shapefiles :  '.shp'&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;File Geodatabases:  '.gdb' &lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;Microsoft Access database:  '.mdb' &lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;/UL&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</dialogReference><pythonReference>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P STYLE="margin:0 0 11 0;"&gt;&lt;SPAN&gt;List of file/workspace types to search for in the root directory.  Allowed values include [".shp", ".gdb", ".mdb"]&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</pythonReference></param><param name="shape_types" displayname="Feature Type" type="Required" direction="Input" datatype="String" expression="Point | Polygon | Polyline | Multipoint | MultiPatch"><dialogReference>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Geometry type to search for within the root folder:&lt;/SPAN&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;'Polygon'&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;'Polyline'&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;'Point'&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;'Multipoint'&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;'MultiPatch'&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;/UL&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</dialogReference><pythonReference>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;List of geometry types to search for within the root folder: &lt;/SPAN&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;Ex. ['Polygon', 'Polyline','Point', 'Multipoint', or 'MultiPatch']&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;/UL&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</pythonReference></param><param name="tgt_schema" displayname="Target Schema" type="Optional" direction="Input" datatype="Feature Dataset or Feature Layer or Table" expression="{tgt_schema}"><dialogReference>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;ESRI featureclass which contains the desired fields and proper field definitions/schema.  If not specified, the tool will match fields to themselves and provide allowed dropdowns values in the to_field for all columns in all of the found featureclasses.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</dialogReference><pythonReference>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Path to an ESRI featureclass which contains the desired fields and proper field definitions/schema. Default: none, will match fields to themselves and provide allowed dropdowns values in the &lt;/SPAN&gt;&lt;SPAN&gt;to_field_name &lt;/SPAN&gt;&lt;SPAN&gt;for all columns in all of the found featureclasses.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</pythonReference></param></parameters><summary>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Iterates a workspace, (GDB, MDB, FeatureDataset, and/or folder) to create a field level cross reference file. Filters can be applied to the data source type (.shp, .gdb, .mdb). The tool will pull by shape type (i.e. Polygon, Point, Polyline...). A target schema can can be set and the tool will attempt to use enhanced sequence matching algorithms to match input fields the target schema. The output is an excel file with data validation on the allowed output columns/field names.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</summary><usage>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Iterates a workspace, (GDB, MDB, FeatureDataset, and/or folder) to create a field level cross reference file. Filters can be applied to the data source type (.shp, .gdb, .mdb). The tool will pull by shape type (i.e. Polygon, Point, Polyline...). A target schema can can be set and the tool will attempt to use enhanced sequence matching algorithms to match input fields the target schema. The output is an excel file with data validation on the allowed output columns/field names.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</usage><scriptExamples><scriptExample><title>1. Basic Example</title><para>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Create a cross reference table for every point featureclass in a given workspace.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</para><code># Import Toolbox Into ArcGIS Python Env
DataWranglingTB = r'C:\YourFilePath\Data Wrangling.pyt'
dw = arcpy.ImportToolbox(DataWranglingTB)


out_file = dw.createWorkspaceFeatCrossRef(
                                          wksp=r'C:\SomeFolder',
                                          rpt_dir=r'C:\SomeFolder',
                                          rpt_name='XRef_file',
                                          opn_op=True,
                                          src_types='Point'
                                          tgt_schema r'C:\SomeFeatureclass'
                                         )
arcpy.AddMessage(out_file)</code></scriptExample></scriptExamples></tool><dataIdInfo><idCitation><resTitle>3. Create Workspace Feature Cross Reference</resTitle></idCitation><idCredit>GeoCodable</idCredit><searchKeys><keyword>data</keyword><keyword>wrangling</keyword><keyword>merge</keyword><keyword>cross</keyword><keyword>reference</keyword><keyword>field</keyword><keyword>mapping</keyword><keyword>workspace</keyword></searchKeys></dataIdInfo><distInfo><distributor><distorFormat><formatName>ArcToolbox Tool</formatName></distorFormat></distributor></distInfo><mdHrLv><ScopeCd value="005"/></mdHrLv><mdDateSt Sync="TRUE">20221024</mdDateSt><Binary><Thumbnail><Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAlgCWAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data></Thumbnail><Enclosure rel="side-panel-help"><Data EsriPropertyType="Image" OriginalFileName="thumbnail.jpg">/9j/4AAQSkZJRgABAQEAlgCWAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data></Enclosure></Binary></metadata>