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dynamodb-detech-ai-0.0.9
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مشاهده بیشترتوضیحات
DynamoDB utils
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | dynamodb-detech-ai-0.0.9 |
| نام | dynamodb-detech-ai |
| نسخه کتابخانه | 0.0.9 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Example Author |
| ایمیل نویسنده | j.velez2210@gmail.com |
| آدرس صفحه اصلی | https://github.com/detech-ai/Data_Pipelines |
| آدرس اینترنتی | https://pypi.org/project/dynamodb-detech-ai/ |
| مجوز | - |
# DynamoDB Package for detech.ai
This is detech.ai's package to access Dynamodb.
# Imports
```python
import detech_query_pkg
from detech_query_pkg import dynamodb_queries as db_queries
from detech_query_pkg.utils import dynamodb_utils as db_utils
#Start DynamoDB Client
db_utils.create_dynamodb_client(aws_access_key_id=AWS_ACCESS_KEY_ID,
aws_secret_access_key=AWS_SECRET_ACCESS_KEY, region_name=REGION_NAME)
```
# Initialize Client
```python
def create_dynamodb_client(aws_access_key_id,aws_secret_access_key, region_name)
```
# Functions
## dynamodb
<details>
<summary>insert_alert</summary>
```python
def insert_alert(alert_id, metric_id, org_id, app_id, team_id, assigned_to, start_time, end_time, alert_description, is_acknowledged, anomalies_dict, related_prev_anomalies, service_graph, significance_score, dynamodb)
#Example
insert_alert(alert_id = "256828", metric_id = 123, org_id = 'org_id', app_id = 'app_id', team_id = 'team_id', assigned_to = 'Jorge', \
start_time = '2020-09-03 12:00:00', end_time = '2020-09-03 12:20:00', alert_description = 'Spike in costs',\
is_acknowledged = 'True', anomalies_dict = {}, related_prev_anomalies = {},
service_graph = {}, significance_score = '34.3')
```
</details>
<details>
<summary>get_alert_item_by_key</summary>
```python
def get_alert_item_by_key(anom_id, dynamodb)
```
</details>
<details>
<summary>update_alert_with_related_anomalies</summary>
```python
def update_alert_with_related_anomalies(alert_id,start_time, corr_anoms_dict, related_prev_anomalies, dynamodb)
```
</details>
<details>
<summary>terminate_alert</summary>
```python
def terminate_alert(alert_id,start_time, end_timestamp, dynamodb)
```
</details>
<details>
<summary>create_metric</summary>
```python
def create_metric(metric_id, date_bucket, metric_name, provider, namespace,
agent, org_id, app_id, alignment, groupby, dimensions, data_points_list, dynamodb)
#Example
create_metric(
metric_id = "test1", date_bucket = "2020-10-02", metric_name = "error_rate",
provider = "aws", namespace = "dynamodb", agent = "CloudWatch", org_id = "test",
app_id = "app1", alignment = "Sum",
dimensions = [{"Name": "TableName", "Value": "alerts.config"}],
last = 1535530432, data_points_list = [
{ 'val': 55, 'time' : 1535530430},
{ 'val': 56, 'time': 1535530432}], dynamodb=dynamodb
)
```
</details>
<details>
<summary>batch_insert_metric_objects</summary>
```python
def batch_insert_metric_objects(list_of_metric_objects, dynamodb)
#Inserts list of metrics objects in batch into Dynamodb
```
</details>
<details>
<summary>get_metric_details</summary>
```python
def get_metric_details(metric_id, dynamodb)
#Fetches all the details for a specific metric_id
```
</details>
<details>
<summary>get_metric_item_by_key</summary>
```python
def get_metric_item_by_key(metric_id, curr_date, dynamodb)
```
</details>
<details>
<summary>scan_metrics_by_encrypted_id</summary>
```python
def scan_metrics_by_encrypted_id(anom_alarm_id, dynamodb)
```
</details>
<details>
<summary>query_alerts_configs_by_key</summary>
```python
def query_alerts_configs_by_key(metric_id, dynamodb)
```
</details>
<details>
<summary>insert_alert_config</summary>
```python
def insert_alert_config(metric_id, alert_title, severity, alert_type, alert_direction, description, duration, duration_unit, rule_dict, recipients_list, owner_dict, dynamodb)
#Example
insert_alert_config(
metric_id = "metric1245", alert_title = "Anomaly by Cluster", severity = "critical",
alert_type = "anomaly", alert_direction = "spikes/drops", description = "Relevant to Play Store billing user journey",
duration= 12, duration_unit = "hours", rule_dict = {}, recipients_list = [{
"channel" : "webhook",
"contact" : "j.velez2210@gmail.com"
},{
"channel" : "slack",
"contact" : "j.velez2210@gmail.com"
}
],
owner_dict = {
"user_id" : "user12341",
"user_name" : "João Tótó",
}
)
```
</details>
<details>
<summary>query_most_recent_metric_fetching_log</summary>
```python
def query_most_recent_metric_fetching_log(component_id, dynamodb)
#Fetches the log with the highest timestamp, from all the logs between start & end ts
```
</details>
## dynamodb_utils
<details>
<summary>put_item</summary>
```python
def put_item(item_dict, table_name, dynamodb)
#Inserts json item into DynamoDB table
#Example
item_dict = {
"attr" : "value",
"attr2" : "value2"
}
table_name = "alerts"
```
</details>
<details>
<summary>batch_insert</summary>
```python
def batch_insert(list_of_item_dicts, table_name, dynamodb)
#Inserts a list of item_dicts in batch to dynamodb
```
</details>
<details>
<summary>get_item</summary>
```python
def get_item(key_dict, table_name, dynamodb)
#Retrieves item from DynamoDB table
#Example
key_dict = {
"prim_key" = "value",
"sort_key" = "value"
}
```
</details>
<details>
<summary>get_item_and_retrieve_specific_attributes</summary>
```python
def get_item_and_retrieve_specific_attributes(key_dict, attr_list, table_name, dynamodb)
#Retrieves item from DynamoDB table and retrieve specific attributes
#Example
key_dict = {
"prim_key" :"value",
"sort_key" : "value"
}
attr_list = ['attr1', 'attr2']
```
</details>
<details>
<summary>update_item</summary>
```python
def update_item(key_dict, update_expression, expression_attr_values, table_name, dynamodb)
#Retrieves item from DynamoDB table
#Example
key_dict = {
"prim_key" = "value",
"sort_key" = "value"
}
update_expression = "set service_graph=:i, metric_list=:l, significance_score=:s"
expression_attr_values = {
':i': {'s1':['s2', 's3']},
':l': ['124','123'],
':s': Decimal(35.5)
}
#example to append to list
UpdateExpression="SET some_attr = list_append(if_not_exists(some_attr, :empty_list), :i)",
ExpressionAttributeValues={
':i': [some_value],
"empty_list" : []
}
```
</details>
<details>
<summary>update_item_conditionally</summary>
```python
def update_item_conditionally(key_dict, condition_expression, update_expression, expression_attr_values, table_name, dynamodb)
#Retrieves item from DynamoDB table
#Example
key_dict = {
"prim_key" = "value",
"sort_key" = "value"
}
update_expression = "set service_graph=:i, metric_list=:l, significance_score=:s"
expression_attr_values = {
':i': {'s1':['s2', 's3']},
':l': ['124','123'],
':s': Decimal(35.5)
}
condition_expression = "significance_score <= :val"
```
</details>
<details>
<summary>delete_item_conditionally</summary>
```python
def delete_item_conditionally(key_dict, condition_expression, expression_attr_values, table_name, dynamodb)
#Example
condition_expression = "significance_score <= :val"
expression_attr_values = {
":val": Decimal(50)
}
key_dict = {
'org_id': 'Aptoide',
'start_time': '2020-09-03 12:00:00'
}
'''
```
</details>
<details>
<summary>query_by_key</summary>
```python
def query_by_key(key_condition, table_name, dynamodb)
#Queries from DynamoDB table by key condition
#Example
key_condition = Key('org_id').eq('Aptoide')
```
</details>
<details>
<summary>query_and_project_by_key_condition</summary>
```python
def query_and_project_by_key_condition(projection_expr, expr_attr_names, key_condition, table_name, dynamodb)
#Queries from DynamoDB table by key condition and only returns some attrs
#Example
key_condition = Key('year').eq(year) & Key('title').between(title_range[0], title_range[1])
projection_expr = "#yr, title, info.genres, info.actors[0]"
expr_attr_names = {"#yr": "year"}
```
</details>
<details>
<summary>scan_table</summary>
```python
def scan_table(scan_kwargs, table_name, dynamodb)
#Scans entire table looking for items that match the filter expression
#Example
scan_kwargs = {
'FilterExpression': Key('year').between(*year_range),
'ProjectionExpression': "#yr, title, info.rating",
'ExpressionAttributeNames': {"#yr": "year"}
}
```
</details>
<details>
<summary>query_by_key_min_max</summary>
```python
def query_by_key_min_max(key_condition, table_name, is_min, dynamodb)
#Queries from DynamoDB table by key condition
#Example
key_condition = Key('part_id').eq(partId) & Key('range_key').between(start, end)
#or
key_condition = Key('part_id').eq(partId)
```
</details>
<details>
<summary>get_all_items_in_table</summary>
```python
def get_all_items_in_table(table_name, dynamodb)
```
</details>
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.6 | Python |
نحوه نصب
نصب پکیج whl dynamodb-detech-ai-0.0.9:
pip install dynamodb-detech-ai-0.0.9.whl
نصب پکیج tar.gz dynamodb-detech-ai-0.0.9:
pip install dynamodb-detech-ai-0.0.9.tar.gz