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%global _empty_manifest_terminate_build 0
Name: python-bigeye-airflow
Version: 0.1.20
Release: 1
Summary: Bigeye Airflow Library supports Airflow 2.4.3 and offers custom operators for interacting with your your bigeye workspace.
License: Proprietary
URL: https://docs.bigeye.com/docs
Source0: https://mirrors.aliyun.com/pypi/web/packages/ae/6d/6da37db5f2c2350edc4b2b8e8597f6f1d0c97b2b8bc94c3cc57b79780ba6/bigeye_airflow-0.1.20.tar.gz
BuildArch: noarch
Requires: python3-Flask-OpenID
Requires: python3-apache-airflow
Requires: python3-bigeye-sdk
%description
# Bigeye Airflow Operators for Airflow Versions 2.x
## Operators
### Create Metric Operator (bigeye_airflow.oerators.create_metric_operator)
The CreateMetricOperator creates metrics from a list of metric configurations provided to the operator.
This operator will fill in reasonable defaults like setting thresholds. It authenticates through an Airflow connection
ID and offers the option to run the metrics after those metrics have been created. Please review the link below to
understand the structure of the configurations.
[Create or Update Metric Swagger](https://docs.bigeye.com/reference/createmetric)
#### Parameters
1. connection_id: str - The Airfow connection ID used to store the required Bigeye credential.
2. warehouse_id: int - The Bigeye source/warehouse id to which the metric configurations will be deployed.
3. configuration: List[dict] - A list of metric configurations conforming to the following schema.
```
schema_name: str
table_name: str
column_name: str
metric_template_id: uuid.UUID
metric_name: str
description: str
notifications: List[str]
thresholds: List[dict]
filters: List[str]
group_by: List[str]
user_defined_metric_name: str
metric_type: SimpleMetricCategory
default_check_frequency_hours: int
update_schedule: str
delay_at_update: str
timezone: str
should_backfill: bool
lookback_type: str
lookback_days: int
window_size: str
_window_size_seconds
```
4. run_after_upsert: bool - If true it will run the metrics after creation. Defaults to False.
### Run Metrics Operator
The RunMetricsOperator will run metrics in Bigeye based on the following:
1. All metrics for a given table, by providing warehouse ID, schema name and table name.
2. Any and all metrics, given a list of metric IDs.
Currently, if a list of metric IDs is provided these will be run instead of metrics provided for
warehouse_id, schema_name, table_name.
#### Parameters
1. connection_id: str - The Airfow connection ID used to store the required Bigeye credential.
2. warehouse_id: int - The Bigeye source/warehouse id for which metrics will be run.
3. schema_name: str - The schema name for which metrics will be run.
4. table_name: str - The table name for which metrics will be run.
5. metric_ids: List[int] - The metric ids to run.
%package -n python3-bigeye-airflow
Summary: Bigeye Airflow Library supports Airflow 2.4.3 and offers custom operators for interacting with your your bigeye workspace.
Provides: python-bigeye-airflow
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-bigeye-airflow
# Bigeye Airflow Operators for Airflow Versions 2.x
## Operators
### Create Metric Operator (bigeye_airflow.oerators.create_metric_operator)
The CreateMetricOperator creates metrics from a list of metric configurations provided to the operator.
This operator will fill in reasonable defaults like setting thresholds. It authenticates through an Airflow connection
ID and offers the option to run the metrics after those metrics have been created. Please review the link below to
understand the structure of the configurations.
[Create or Update Metric Swagger](https://docs.bigeye.com/reference/createmetric)
#### Parameters
1. connection_id: str - The Airfow connection ID used to store the required Bigeye credential.
2. warehouse_id: int - The Bigeye source/warehouse id to which the metric configurations will be deployed.
3. configuration: List[dict] - A list of metric configurations conforming to the following schema.
```
schema_name: str
table_name: str
column_name: str
metric_template_id: uuid.UUID
metric_name: str
description: str
notifications: List[str]
thresholds: List[dict]
filters: List[str]
group_by: List[str]
user_defined_metric_name: str
metric_type: SimpleMetricCategory
default_check_frequency_hours: int
update_schedule: str
delay_at_update: str
timezone: str
should_backfill: bool
lookback_type: str
lookback_days: int
window_size: str
_window_size_seconds
```
4. run_after_upsert: bool - If true it will run the metrics after creation. Defaults to False.
### Run Metrics Operator
The RunMetricsOperator will run metrics in Bigeye based on the following:
1. All metrics for a given table, by providing warehouse ID, schema name and table name.
2. Any and all metrics, given a list of metric IDs.
Currently, if a list of metric IDs is provided these will be run instead of metrics provided for
warehouse_id, schema_name, table_name.
#### Parameters
1. connection_id: str - The Airfow connection ID used to store the required Bigeye credential.
2. warehouse_id: int - The Bigeye source/warehouse id for which metrics will be run.
3. schema_name: str - The schema name for which metrics will be run.
4. table_name: str - The table name for which metrics will be run.
5. metric_ids: List[int] - The metric ids to run.
%package help
Summary: Development documents and examples for bigeye-airflow
Provides: python3-bigeye-airflow-doc
%description help
# Bigeye Airflow Operators for Airflow Versions 2.x
## Operators
### Create Metric Operator (bigeye_airflow.oerators.create_metric_operator)
The CreateMetricOperator creates metrics from a list of metric configurations provided to the operator.
This operator will fill in reasonable defaults like setting thresholds. It authenticates through an Airflow connection
ID and offers the option to run the metrics after those metrics have been created. Please review the link below to
understand the structure of the configurations.
[Create or Update Metric Swagger](https://docs.bigeye.com/reference/createmetric)
#### Parameters
1. connection_id: str - The Airfow connection ID used to store the required Bigeye credential.
2. warehouse_id: int - The Bigeye source/warehouse id to which the metric configurations will be deployed.
3. configuration: List[dict] - A list of metric configurations conforming to the following schema.
```
schema_name: str
table_name: str
column_name: str
metric_template_id: uuid.UUID
metric_name: str
description: str
notifications: List[str]
thresholds: List[dict]
filters: List[str]
group_by: List[str]
user_defined_metric_name: str
metric_type: SimpleMetricCategory
default_check_frequency_hours: int
update_schedule: str
delay_at_update: str
timezone: str
should_backfill: bool
lookback_type: str
lookback_days: int
window_size: str
_window_size_seconds
```
4. run_after_upsert: bool - If true it will run the metrics after creation. Defaults to False.
### Run Metrics Operator
The RunMetricsOperator will run metrics in Bigeye based on the following:
1. All metrics for a given table, by providing warehouse ID, schema name and table name.
2. Any and all metrics, given a list of metric IDs.
Currently, if a list of metric IDs is provided these will be run instead of metrics provided for
warehouse_id, schema_name, table_name.
#### Parameters
1. connection_id: str - The Airfow connection ID used to store the required Bigeye credential.
2. warehouse_id: int - The Bigeye source/warehouse id for which metrics will be run.
3. schema_name: str - The schema name for which metrics will be run.
4. table_name: str - The table name for which metrics will be run.
5. metric_ids: List[int] - The metric ids to run.
%prep
%autosetup -n bigeye_airflow-0.1.20
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-bigeye-airflow -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.20-1
- Package Spec generated
|
