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AVEVA™ Adapter for Structured Data Files

Xpath and CSV syntax for value retrieval

  • Last UpdatedJul 16, 2025
  • 2 minute read

For information on which semantics are used for retrieving values from XML and CSV files, see the following documentation:

The following syntaxes are used to extract values from XML or CSV documents.

XML - Simple XPath example

<values>

<value>

<time>2020-08-10T12:10:46.0928791Z</time>

<value>1.234567890</value>

</value>

<value>

<time>2020-08-10T12:10:47.0928791Z</time>

<value>12.34567890</value>

</value>

<value>

<time>2020-08-10T12:10:48.0928791Z</time>

<value>123.4567890</value>

</value>

<value>

<time>2020-08-10T12:10:49.0928791Z</time>

<value>1234.567890</value>

</value>

<value>

<time>2020-08-10T12:10:50.0928791Z</time>

<value>12345.67890</value>

</value>

<value>

<time>2020-08-10T12:10:51.0928791Z</time>

<value>123456.7890</value>

</value>

<value>

<time>2020-08-10T12:10:52.0928791Z</time>

<value>12345678.90</value>

</value>

<value>

<time>2020-08-10T12:10:53.0928791Z</time>

<value>123456789.0</value>

</value>

</values>

The following data selection item configuration with XPath reads a series of values:

[

{

"valueField": "./values/value/value",

"indexField": "./values/value/time",

"dataType": "float64",

"selected": true

}

]

XML - Complex XPath example

<sample>

<success>true</success>

<result>

<id>964879</id>

<name>Home</name>

<latitude>null</latitude>

<longitude>null</longitude>

<child>

<data>

<items>

<item>

<id>1603836</id>

<name>Thermostat1</name>

<feature>

<name>thermostat</name>

<temperature>70</temperature>

<scale>f</scale>

<heat_min>55</heat_min>

<heat_max>90</heat_max>

<cool_min>60</cool_min>

<cool_max>99</cool_max>

<datetime>2021-09-06T17:00:00Z</datetime>

</feature>

</item>

<item>

<id>1603836</id>

<name>Thermostat1</name>

<feature>

<name>thermostat</name>

<temperature>71</temperature>

<scale>f</scale>

<heat_min>56</heat_min>

<heat_max>91</heat_max>

<cool_min>59</cool_min>

<cool_max>99</cool_max>

<datetime>2021-09-06T17:01:00Z</datetime>

</feature>

</item>

<item>

<id>1603836</id>

<name>Thermostat1</name>

<feature>

<name>thermostat</name>

<temperature>69</temperature>

<scale>f</scale>

<heat_min>54</heat_min>

<heat_max>92</heat_max>

<cool_min>58</cool_min>

<cool_max>99</cool_max>

<datetime>2021-09-06T17:02:00Z</datetime>

</feature>

</item>

</items>

</data>

</child>

</result>

</sample>

The following data selection item configuration with XPath reads all the heat_min values from the XML above:

[

{

"valueField": "./sample/result/child/data/items/item/feature/heat_min",

"indexField": "./sample/result/child/data/items/item/feature/datetime",

"dataType": "float64",

"selected": true

}

]

The following data selection item configuration with XPath uses a predicate to read all the heat_min values with a value greater than or equal to 55 from the XML above:

[

{

"valueField": "./sample/result/child/data/items/item/feature[heat_min>=55]/heat_min",

"indexField": "./sample/result/child/data/items/item/feature[heat_min>=55]/datetime",

"dataType": "float64",

"selected": true

}

]

CSV - Simple CSV column index example

2020-08-10T12:10:46.0928791Z,1.234567890

2020-08-10T12:10:47.0928791Z,12.34567890

2020-08-10T12:10:48.0928791Z,123.4567890

2020-08-10T12:10:49.0928791Z,1234.567890

2020-08-10T12:10:50.0928791Z,12345.67890

2020-08-10T12:10:51.0928791Z,123456.7890

2020-08-10T12:10:52.0928791Z,12345678.90

2020-08-10T12:10:53.0928791Z,123456789.0

The following data selection item configuration using the CSV column index requires the data source configuration be configured with HasHeader=false. The column indexes are 1 based and configured as strings.

[

{

"valueField": "2",

"indexField": "1",

"dataType": "float64",

"selected": true

}

]

CSV - Simple CSV column header example

Date,Value

2020-08-10T12:10:46.0928791Z,1.234567890

2020-08-10T12:10:47.0928791Z,12.34567890

2020-08-10T12:10:48.0928791Z,123.4567890

2020-08-10T12:10:49.0928791Z,1234.567890

2020-08-10T12:10:50.0928791Z,12345.67890

2020-08-10T12:10:51.0928791Z,123456.7890

2020-08-10T12:10:52.0928791Z,12345678.90

2020-08-10T12:10:53.0928791Z,123456789.0

The following data selection item configuration using the CSV column header requires the data source configuration be configured with HasHeader=true.

[

{

"valueField": "Value",

"indexField": "Date",

"dataType": "float64",

"selected": true

}

]

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