AzureApplicationInsightsDataFeedSource Class
AzureApplicationInsightsDataFeedSource.
- Inheritance
-
azure.ai.metricsadvisor.models._models.DataFeedSourceAzureApplicationInsightsDataFeedSource
Constructor
AzureApplicationInsightsDataFeedSource(query: str, **kwargs: Any)
Parameters
Name | Description |
---|---|
query
Required
|
Required. Query. |
Keyword-Only Parameters
Name | Description |
---|---|
credential_id
|
The datasource credential id. |
azure_cloud
|
Azure cloud environment. |
application_id
|
Azure Application Insights ID. |
api_key
|
API Key. |
Variables
Name | Description |
---|---|
data_source_type
|
str or
<xref:azure.ai.metricsadvisor.models.DatasourceType>
Required. data source type.Constant filled by server. Possible values include: "AzureApplicationInsights", "AzureBlob", "AzureCosmosDB", "AzureDataExplorer", "AzureDataLakeStorageGen2", "AzureEventHubs", "AzureLogAnalytics", "AzureTable", "InfluxDB", "MongoDB", "MySql", "PostgreSql", "SqlServer". |
authentication_type
|
str or
<xref:azure.ai.metricsadvisor.models.DatasourceAuthenticationType>
authentication type for corresponding data source. Possible values include: "Basic", "ManagedIdentity", "AzureSQLConnectionString", "DataLakeGen2SharedKey", "ServicePrincipal", "ServicePrincipalInKV". Default is "Basic". |
Methods
clear | |
copy | |
fromkeys |
Create a new dictionary with keys from iterable and values set to value. |
get |
Return the value for key if key is in the dictionary, else default. |
items | |
keys | |
pop |
If the key is not found, return the default if given; otherwise, raise a KeyError. |
popitem |
Remove and return a (key, value) pair as a 2-tuple. Pairs are returned in LIFO (last-in, first-out) order. Raises KeyError if the dict is empty. |
setdefault |
Insert key with a value of default if key is not in the dictionary. Return the value for key if key is in the dictionary, else default. |
update |
If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k] |
values |
clear
clear() -> None. Remove all items from D.
copy
copy() -> a shallow copy of D
fromkeys
Create a new dictionary with keys from iterable and values set to value.
fromkeys(value=None, /)
Positional-Only Parameters
Name | Description |
---|---|
iterable
Required
|
|
value
|
default value: None
|
Parameters
Name | Description |
---|---|
type
Required
|
|
get
Return the value for key if key is in the dictionary, else default.
get(key, default=None, /)
Positional-Only Parameters
Name | Description |
---|---|
key
Required
|
|
default
|
default value: None
|
items
items() -> a set-like object providing a view on D's items
keys
keys() -> a set-like object providing a view on D's keys
pop
If the key is not found, return the default if given; otherwise, raise a KeyError.
pop(k, [d]) -> v, remove specified key and return the corresponding value.
popitem
Remove and return a (key, value) pair as a 2-tuple.
Pairs are returned in LIFO (last-in, first-out) order. Raises KeyError if the dict is empty.
popitem()
setdefault
Insert key with a value of default if key is not in the dictionary.
Return the value for key if key is in the dictionary, else default.
setdefault(key, default=None, /)
Positional-Only Parameters
Name | Description |
---|---|
key
Required
|
|
default
|
default value: None
|
update
If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]
update([E], **F) -> None. Update D from dict/iterable E and F.
values
values() -> an object providing a view on D's values
Azure SDK for Python
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