Package: adh-deployment-manager
ADH Deployment ManagerADH Deployment Manager is a Python library which simplifies interfacing with ADH REST API by providing a convenient set of wrappers and abstractions.
The library provides such capabilities as:deploying ADH queries from local text files to multiple projects based on a single configuration filesync queries between ADH and local storagelocal runner for testing and prototypingbatch query executorbranching mechanismjob monitoring and other featuresADH Deployment Manager provides both high level interface for interacting with ADH via Deployment object and low-level by providing access to such elements asAnalysys QueryandJobto issue ad-hoc operations (like rerun of a particular query).Minimal working example:# load necessary modules
from adh_deployment_manager.authenticator import AdhAutheticator
from adh_deployment_manager.deployment import Deployment
import adh_deployment_manager.commands as commands

# provide authentication mechanism
credentials = AdhAutheticator().get_credentials("/path/to/credentials.json")
developer_key =  "INSERT_YOUR_DEVELOPER_KEY"

# instantiate deployment with config and credentials
# (and optionally path to folder where source queries are located)
deployment = Deployment(
    config = "/path/to/config.yml",
    credentials = credentials,
    developer_key = developer_key,
    queries_folder="/path/to/adh-queries/",
    query_file_extention=".sql")

# deploy queries to ADH project(s)
deployer = commands.Deployer(deployment)
deployer.execute()

# run queries in ADH projects(s)
runner = commands.Runner(deployment)
runner.execute()Table of contentsProject overviewRequirementsInstallationGetting startedAccess setup(Recommended)- Authenticating as a service accountOAuth 2.0 setupCreate configSpecify queriesAdd new ADH queriesUse existing ADH queriesDeploying and running queriesProject overviewBack totable of contentsADH Deployment Manager deployment consists of two elements:sqlfolder - contains ADH queries in.sqlformatconfig.ymlfile - specifies which queries fromsqlfolder should be deployed alongside parameters and filtered row summary. More about config atCreate Config.Check possible structure formy_adh_projectdeployment below:my_adh_project
|__config.yml
|__sql
   |__query_name1.sql
   |__query_name2.sqlRequirementsBack totable of contentsPython3GitInstallationBack totable of contentsThe CLI tool calledadmcan be installed from pip:pip install adh-deployment-managerGetting startedBack totable of contentsAccess setupPlease followGet started with the Ads Data Hub APIto correctly setup
API access to Ads Data Hub.After you setup API access there are two options to authenticate - via service account or OAuth 2.0.(Recommended)Authenticating as a service accountAuthenticating as a service account is the recommended way of authentication foradh-deployment-manager.
Please follow the steps outlined below:Log in into Google Cloud project that connected to your ADH accountCreate service account in your output GCPreference link:https://cloud.google.com/iam/docs/creating-managing-service-accountsDownload service account's credential (JSON format) in your local environmentreference link:https://cloud.google.com/iam/docs/creating-managing-service-account-keysAssign BigQuery Admin role to the service accountreference link:https://cloud.google.com/iam/docs/granting-roles-to-service-accountsGenerate API Key (Developer Key for ADH)reference link:https://cloud.google.com/docs/authentication/api-keysAssign Analyst access role to the service accountreference link:https://developers.google.com/ads-data-hub/guides/assign-access-by-roleOAuth 2.0 setupIf authenticating via service account is not possible please follow the steps outlined below:Log in into Google Cloud project that connected to your ADH accountGenerate OAuth 2.0 Client ID and download credentials:go toAPI & Services - Credentials, click+ CREATE CREDENTIALSand selectOAuth client IDSelectDesktop Appas application type, specify any application name
and clickCREATEbutton.Click the download icon next to the credentials that you just created.Generate API Key (Developer Key for ADH)reference link:https://cloud.google.com/docs/authentication/api-keysOnceadh-deployment-manageris running you will be prompted to log in into your Google account
so the program can authenticate.Create configBack totable of contentsconfig.ymlis the core element of deployment.
It must contain two mandatory elements:customer_ids- customer_ids (either one of an array) for which queries should be deployed and/or run.queries_setup- compound element which consists of query titles, parameters, filtered row summary, etc.The minimal working example of the config with two requirement elements (customer_idsandqueries_setup):customer_ids:
  - 123456789
queries_setup:
  - queries:
    - query_titleOptional Elementsconfig.ymlmay contain optional elements that can be associated with all queries inqueries_setupblock:ads_data_from- list of customer_ids to get ads data from. If the field is not included in config it will be automatically converted to a list of regular customer_ids.bq_project&bq_dataset- BQ project and dataset used storing output data (specified during ADH setup)date_range_setup- date range for running queries in ADH which consists of two elements:start_dateandend_datein YYYY-MM-DD format (i.e., 1970-01-01). Supports template values, i.e. YYYYMMDD-10 transforms into10 days ago from execution day.Specifying queries and their parametersqueries_setupmay contains the following elements:queries- list of query titles that need to be deployed/launched in ADH. If query with specified title cannot be found in ADH,adh-deployment-managerwill try to build query with such title based on provided filename insqlfolder. Everyquery_titleinquerieswill share the sameparametersandfiltered_row_summaryprovides for the block.queriesshould contain at least one query_title.query_titlewill be used to create table in BQ, so the output table will bebq_project.bq_dataset.query_title.(optional)parameters- block that contains one or moreparameter_namewith correspondingtypeandvalues.type- type of the parameter (i.e.INT64,STRING,DATE,TIMESTAMP), required field.values- values used when query is suppose to run. If you provide array structure here (separated by-at each line)typeof parameter will beARRAYof typetype, optional field.(optional)filtered_row_summary- block that contains one or more filtered row summary column names with correspondingtypeandvalue.type- type of filtered row summary (eitherSUMorCONSTANT)value- specified only whentypeCONTANTis used, specifies how this metric or dimention will be named.(optional)execution_mode- option to split query execution and saving results by day. Can be eithernormal(query is run over thestart_date-end_datedate range) orbatch(query execution can be splitted over each day within querystart_dateandend_date).execution_modecan be omitted, in that case the query will be executed innormalmode(optional)wait- specify whether the next query or query block should be launch only after successfull execution of the previous one. Can take two possible values:each(wait for each query in the block) orblock(wait only for the last query in the block). ifwaitis omitted it means that query execution will be independent of the previous one.(optional)replace- if a query has any placeholders (specified in{placeholder}format) thatreplaceblock should containkey: valuepairs which will replace placeholders in the query text with supplied values. This can be useful when specifingbq_projectandbq_datasetnames.replacecan be omitted, in that case no replacements will be performed.(optional)date_range_setup- in case queries in a block should run over a different time period than specified in globaldate_range_setupyou can specify thesestart_dateandend_datehere.Example of queries_setupThe example structure ofqueries_setuplooks like the following one:queries_setup:
  - queries:
      - query_title1
      - query_title2
    parameters:
      parameter_name1:
        type: INT64
	values:
        - 1234
        - 1235
        - 1236
      parameter_name2:
        type: STRING
	values: my_value
      parameter_name3:
        type: DATE
    filtered_row_summary:
      metric_name:
        type: SUM
      dimension_name:
        type: CONSTANT
	value: my_value
    execution_mode: normal
    wait: each
    replace:
      placeholder1: value1
      placeholder2: value2
    date_range_setup:
      start_date: YYYYMMDD-10
      end_date: YYYYMMDD-1
  - queries:
    ....In order to make the structure of config more clear, let's cover all elements in the example above.queries_setupcontains a query block which contains two queries (query_title1andquery_title2).Deploying:For each of these queries:three parameters should be created:parameter_name1of typeARRAYofINT64(three sample values are specified undervaluescolumn; these values will be used during runtime)parameter_name2of typeSTRING(with a single valuemy_valuewhich will be used during runtime)parameter_name3or typeDATE. This parameters does not have value associated with it and should be specified during runtime (as keyword argument to a corresponding function call)Filtered Row Summary should be added:columnmetric_namewill contain sum of all values filtered due to privacy checkscolumndimension_namewill containmy_valuefor all users filtered due to privacy checks.Running:Sincestart_date: YYYYMMDD-10,end_date: YYYYMMDD-1both queries should be executed over the last 10 days period (excluding today)Sinceexecution_mode: normalwhen running these queries we run them fromstart_datetoend_dateperiod without splitting query execution by day.Sincewait: eachwe launchquery_title2only afterquery_title1execution is completed.Both queries contain two placeholders -placeholder1andplaceholder2. When deploying them to ADH we will replace them withvalue1andvalue2respectively.Specify queriesBack totable of contentsAdd new ADH queriesIf the purpose of deployment is to create queries in ADH based on source code you need to create a dedicated folder to contain these queries.
By defaultadh-deployment-managerexpectessqlfolder with files containing files with.sqlextension. Bothqueries_folderandquery_file_extentioncould be specified when creatingDeploymentobject.from  adh_deployment_manager.deployment import Deployment

my_deployment = Deployment(
    config = "path/to/config.yml",
    credentials = my_credentials,
    queries_folder = "path/to/queries_folder",
    query_file_extention = ".sql"
    )Use Existing Queries from ADHIf the purpose of deployment is to run existing ADH queries you should omitqueries_folderandqueries_file_extentionwhen creatingDeploymentobject.
Query titles inqueriesblock should be title of the queries found in ADH UI.from  adh_deployment_manager.deployment import Deployment

my_deployment = Deployment(
    config = "path/to/config.yml",
    credentials = my_credentials
    )Deploying and running queiresBack totable of contentsADH Deployment Manager installsadmCLI tool that allows you to simplify interaction with the library.admaccept several arguments:command- one ofrun,deploy,update,fetchsubcommand- one ofdeployorupdate-c path/to/config.yml- specifies where config is located-q path/to/queries_folder- specifies where folder with queries is located-l path/to/output_folder- specified where queries fetched from ADH should be storedIn order to run this commands you'll need to export developer_key as environmental variable:export ADH_DEVELOPER_KEY=<developer_key>Usageadm [OPTIONS] command subcommand
    options:
    -c path/to/config.yml
    -q path/to/queries_folder
    -l path/to/output_folderExamplesDeploy queries based on configadm -c path/to/config.yml -q path/to/queries deployRun queries without deploymentadm -c path/to/config.yml runRun and update queriesadm -c path/to/config.yml -q path/to/queries run updateFetch queries from config and store in specified locationadm -c path/to/config.yml -l path/to/output_folder fetch