class Queries:
  browser_env_90 = """
		SELECT
		  Partner,
		  Advertiser,
		  Advertiser_Id,
		  Insertion_Order,
		  Insertion_Order_Id,
		  Campaign,
		  Campaign_Id,
		  CASE
		    when Line_Item_Type = "TrueView" THEN "TrueView"
		    when Line_Item_Type != "TrueView" and Browser_Detail = "Other" THEN "Other"
		    ELSE Browser
		  END AS Browser,
		  Environment,
		  Device,
		  CASE
		    when Line_Item_Type = "TrueView" THEN "TrueView"
		    ELSE Concat(Device,"-",Environment)
		  END AS Device_Environment,
		  Line_item_type,
		  Week_start,
		  SUM(Impressions) AS Impressions
		FROM
		  `{{project_id}}.{{dataset}}.DV360_Browser_Report_Clean`
		WHERE
		  DATE_DIFF(CURRENT_DATE(), Week_start, WEEK) < 12
		GROUP BY
		  Partner,
		  Advertiser,
		  Advertiser_Id,
		  Insertion_Order,
		  Insertion_Order_Id,
		  Campaign,
		  Campaign_Id,
		  Browser,
		  Environment,
		  Device,
		  Device_Environment,
		  Week_start,
		  Line_item_type
	"""

  browser_2_year = """
		SELECT
		  Partner,
		  Advertiser,
		  Advertiser_ID,
		  Campaign,
		  Insertion_Order,
		  CASE
		    when Line_Item_Type = "TrueView" THEN "TrueView"
		    when Line_Item_Type != "TrueView" and Browser_Detail = "Other" THEN "Other"
		    ELSE Browser
		  END AS Browser,
		  Browser_detail as Browser_Detail,
		  Environment,
		  Device,
		  CASE
		    when Line_Item_Type = "TrueView" THEN "TrueView"
		    ELSE Concat(Device,"-",Environment)
		  END AS Device_Environment,
		  Week,
		  Month,
		  Year,
		  Week_start,
		  Line_Item_Type,
		  Segment1,
		  Segment2,
		  Segment3,
		  SUM(Impressions) AS Impressions,
		  SUM(Total_Conversions) AS Total_Conversions,
		  SUM(Post_Click_Conversions) AS Post_Click_Conversions,
		  SUM(Post_View_Conversions) AS Post_View_Conversions,
		  SUM(Revenue_Adv_Currency) AS Revenue_Adv_Currency,
		  SUM(Media_Cost_Advertiser_Currency) AS Media_Cost_Advertiser_Currency,
		  SUM(CM_Post_View_Revenue) AS CM_Post_View_Revenue,
		  SUM(CM_Post_Click_Revenue) AS CM_Post_Click_Revenue
		FROM
		  `{{project_id}}.{{dataset}}.z_DV360_Browser_Report_Clean`
		GROUP BY
		  Partner,
		  Advertiser,
		  Advertiser_ID,
		  Campaign,
		  Insertion_Order,
		  Browser,
		  Browser_detail,
		  Environment,
		  Device,
		  Device_Environment,
		  Week,
		  Month,
		  Year,
		  Line_Item_Type,
		  Segment1,
		  Segment2,
		  Segment3,
		  Week_start
	"""

  browser_share_multichart = """
		WITH
		filtered AS
		(
		  SELECT
		    segment1,
		    segment2,
		    segment3,
		    browser,
		    sum(Impressions) AS imps,
		    IF(UPPER(browser)='SAFARI', SUM(Impressions), 0) AS safari_imps,
		    Line_Item_Type,
		    Advertiser,
		    Advertiser_ID,
		    Campaign,
		    Insertion_Order,
		    Device_Environment,
		    Week_start
		  FROM `{{project_id}}.{{dataset}}.DV3_Browser`
		  GROUP BY
		    segment1,
		    segment2,
		    segment3,
		    browser,
		    Line_Item_Type,
		    Advertiser,
		    Advertiser_ID,
		    Campaign,
		    Insertion_Order,
		    Device_Environment,
		    Week_start
		),

		subtotals AS
		(
		  SELECT
		    1 AS segment_number,
		    segment1 AS segment,
		    browser,
		    SUM(imps) AS imps,
		    SUM(safari_imps) AS safari_imps,
		    Line_Item_Type,
		    Advertiser,
		    Advertiser_ID,
		    Campaign,
		    Insertion_Order,
		    Device_Environment,
		    Week_start
		  FROM filtered
		  WHERE segment1 IS NOT NULL
		  GROUP BY 1, 2, 3, Line_Item_Type, Advertiser, Advertiser_ID, Campaign,Insertion_Order,Device_Environment, Week_start
		  UNION ALL
		  SELECT
		    2 AS segment_number,
		    segment2 AS segment,
		    browser,
		    SUM(imps) AS segment_browser_imps,
		    SUM(safari_imps) AS safari_imps,
		    Line_Item_Type,
		    Advertiser,
		    Advertiser_ID,
		    Campaign,
		    Insertion_Order,
		    Device_Environment,
		    Week_start
		  FROM filtered
		  WHERE Segment2 IS NOT NULL
		  GROUP BY 1, 2, 3, Line_Item_Type, Advertiser, Advertiser_ID, Campaign,Insertion_Order,Device_Environment, Week_start
		  UNION ALL
		  SELECT
		    3 AS segment_number,
		    segment3 AS segment,
		    browser,
		    SUM(imps) AS segment_browser_imps,
		    SUM(safari_imps) AS safari_imps,
		    Line_Item_Type,
		    Advertiser,
		    Advertiser_ID,
		    Campaign,
		    Insertion_Order,
		    Device_Environment,
		    Week_start
		  FROM filtered
		  WHERE Segment3 IS NOT NULL
		  GROUP BY 1, 2, 3, Line_Item_Type, Advertiser, Advertiser_ID, Campaign,Insertion_Order,Device_Environment,Week_start
		),


		grand_total AS
		(
		  SELECT
		    segment_number,
		    SUM(imps) AS imps
		  FROM subtotals
		  GROUP BY 1
		)

		SELECT
		  segment_number,
		  segment,
		  SUM(sbt.imps) AS impressions,
		  SUM(sbt.safari_imps) AS safari_impressions,
		  sbt.Line_Item_Type as Line_Item_Type,
		  sbt.browser as Browser,
		  sbt.Advertiser as Advertiser,
		  sbt.Advertiser_ID as Advertiser_ID,
		  sbt.Campaign as Campaign,
		  sbt.Insertion_Order as Insertion_Order,
		  sbt.Device_Environment as Device_Environment,
		  sbt.Week_start as Week_start
		FROM `subtotals` sbt
		LEFT OUTER JOIN `grand_total` AS gt USING (segment_number)
		GROUP BY 1, 2, Line_Item_Type, Browser, Advertiser, Advertiser_ID, Campaign,Insertion_Order,Device_Environment,Week_start
		ORDER BY 1, 2
	"""

  clean_browser_report = """
		SELECT
		  DV3_reporting.Partner AS Partner_clean,
		  DV3_reporting.Partner_Id,
		  CONCAT(DV3_reporting.Partner," - ",CAST(DV3_reporting.Partner_Id AS STRING)) AS Partner,
		  DV3_reporting.Advertiser AS Advertiser_clean,
		  DV3_reporting.Advertiser_Id,
		  CONCAT(DV3_reporting.Advertiser," - ",CAST(DV3_reporting.Advertiser_Id AS STRING)) AS Advertiser,
		  DV3_reporting.Advertiser_Currency,
		  DV3_reporting.Insertion_Order AS Insertion_Order_clean,
		  DV3_reporting.Insertion_Order_Id,
		  CONCAT(DV3_reporting.Insertion_Order," - ",CAST(DV3_reporting.Insertion_Order_Id AS STRING)) AS Insertion_Order,
		  DV3_reporting.Campaign AS Campaign_clean,
		  DV3_reporting.Campaign_Id,
		  CONCAT(DV3_reporting.Campaign," - ",CAST(DV3_reporting.Campaign_Id AS STRING)) AS Campaign,
		  DV3_reporting.Line_Item AS Line_Item_clean,
		  DV3_reporting.Line_Item_Id,
		  CONCAT(DV3_reporting.Line_Item," - ",CAST(DV3_reporting.Line_Item AS STRING)) AS Line_Item,
		  DV3_reporting.Browser AS Browser_Detail,
		  Bro.Browser_Platform_clean AS Browser,
		  DV3_reporting.Environment AS Environment_Detail,
		  Env.Environment_clean AS Environment,
		  Dev.Device_Type AS Device_Type,
		  Dev.Device AS Device,
		  seg.Segment1 AS Segment1,
		  seg.Segment2 AS Segment2,
		  seg.Segment3 AS Segment3,
		  DV3_reporting.Week,
		  CAST(PARSE_DATE('%Y/%m/%d', SPLIT(DV3_reporting.Week,'-')[OFFSET(0)]) AS DATE) AS Week_start,
		  DV3_reporting.Month,
		  DV3_reporting.Year,
		  DV3_reporting.Line_Item_Type,
		  SUM(DV3_reporting.Impressions) AS Impressions,
		  SUM(DV3_reporting.Clicks) AS Clicks,
		  SUM(DV3_reporting.Total_Conversions) AS Total_Conversions,
		  SUM(DV3_reporting.Post_Click_Conversions) AS Post_Click_Conversions,
		  SUM(DV3_reporting.Post_View_Conversions) AS Post_View_Conversions,
		  SUM(DV3_reporting.CM_Post_View_Revenue) AS CM_Post_View_Revenue,
		  SUM(DV3_reporting.CM_Post_Click_Revenue) AS CM_Post_Click_Revenue,
		  SUM(DV3_reporting.Revenue_Adv_Currency) AS Revenue_Adv_Currency,
		  SUM(DV3_reporting.Media_Cost_Advertiser_Currency) AS Media_Cost_Advertiser_Currency,
		  SAFE_DIVIDE(SUM(DV3_reporting.Revenue_Adv_Currency), SAFE_DIVIDE(SUM(DV3_reporting.Impressions), 1000)) AS CPM,
		  SAFE_DIVIDE(SUM(DV3_reporting.Revenue_Adv_Currency), SUM(DV3_reporting.Total_Conversions)) AS CPA,
		  SAFE_DIVIDE(SUM(DV3_reporting.CM_Post_View_Revenue + DV3_reporting.CM_Post_Click_Revenue), SUM(DV3_reporting.Revenue_Adv_Currency)) AS ROAS_Total,
		  SAFE_DIVIDE(SUM(DV3_reporting.CM_Post_View_Revenue), SUM(DV3_reporting.Revenue_Adv_Currency)) AS ROAS_View,
		  SAFE_DIVIDE(SUM(DV3_reporting.CM_Post_Click_Revenue), SUM(DV3_reporting.Revenue_Adv_Currency)) AS ROAS_Click
		FROM
		  `{{project_id}}.{{dataset}}.z_Dv360_Browser_Report_Dirty` AS DV3_reporting
		LEFT JOIN
		  `{{project_id}}.{{dataset}}.z_Browser` AS Bro
		ON
		  DV3_reporting.Browser = Bro.Browser_Platform
		LEFT JOIN
		  `{{project_id}}.{{dataset}}.z_Environment` AS Env
		ON
		  DV3_reporting.Environment = Env.Environment
		LEFT JOIN
		  `{{project_id}}.{{dataset}}.z_Device_Type` AS Dev
		ON
		  DV3_reporting.Device_Type = Dev.Device_Type
		LEFT JOIN
		  `{{project_id}}.{{dataset}}.z_Custom_Segments` AS seg
		ON
		  DV3_reporting.Line_Item_Id = seg.Line_Item_Id
		GROUP BY
		  DV3_reporting.Partner,
		  DV3_reporting.Partner_Id,
		  DV3_reporting.Advertiser,
		  DV3_reporting.Advertiser_Id,
		  DV3_reporting.Advertiser_Currency,
		  DV3_reporting.Insertion_Order,
		  DV3_reporting.Insertion_Order_Id,
		  DV3_reporting.Campaign,
		  DV3_reporting.Campaign_Id,
		  DV3_reporting.Line_Item,
		  DV3_reporting.Line_Item_Id,
		  DV3_reporting.Browser,
		  Bro.Browser_Platform_clean,
		  DV3_reporting.Environment,
		  Env.Environment_clean,
		  DV3_reporting.Week,
		  DV3_reporting.Month,
		  DV3_reporting.Year,
		  DV3_reporting.Line_Item_Type,
		  Dev.Device,
		  Device_Type,
		  Week_start,
		  seg.Segment1,
		  seg.Segment2,
		  seg.Segment3
	"""

  cm_floodlight_join = """
		SELECT
		  Flood.Floodlight_Attribution_Type AS Floodlight_Attribution_Type,
		  Att.Attribution_Type AS Attribution_Type,
		  CMBrowser.Browser_Platform AS Browser_Platform,
		  CMBrowser.Browser_Platform_detail AS Browser_Platform_detail,
		  CMBrowser.Browser_Platform_clean AS Browser_Platform_clean,
		  SUM(Total_Conversions) AS Total_Conversions,
		  SUM(Click_Through_Conversions) AS Click_Through_Conversions,
		  SUM(View_Through_Conversions) AS View_Through_Conversions
		FROM
		  `{{project_id}}.{{dataset}}.z_Floodlight_CM_Report` AS Flood
		JOIN
		  `{{project_id}}.{{dataset}}.z_Floodlight_Attribution` AS Att
		ON
		  Flood.Floodlight_Attribution_Type = Att.Floodlight_Attribution_Type
		LEFT JOIN
		  `{{project_id}}.{{dataset}}.z_CM_Browser_lookup` AS CMBrowser
		ON
		  Flood.Browser_Platform = CMBrowser.Browser_Platform
		GROUP BY
		  Flood.Floodlight_Attribution_Type,
		  Att.Attribution_Type,
		  Browser_Platform,
		  Browser_Platform_detail,
		  Browser_Platform_clean
	"""

  cm_floodlight_multichart = """
		WITH
		attrtype_browser_total AS
		(
		  SELECT
		    IFNULL(att.Attribution_Type, '[missing]') as attribution_type,
		    IFNULL(cm_br.Browser_Platform_clean, '[missing]') as browser_platform,
		    SUM(fl.Total_Conversions) as convs
		  FROM `{{project_id}}.{{dataset}}.z_CM_Floodlight` fl
		  LEFT OUTER JOIN `{{project_id}}.{{dataset}}.z_Floodlight_Attribution` AS att USING(Floodlight_Attribution_Type)
		  LEFT OUTER JOIN `{{project_id}}.{{dataset}}.z_CM_Browser_lookup` AS cm_br USING(Browser_Platform_clean)
		  WHERE cm_br.Browser_Platform_clean IN ('Chrome', 'Safari', 'FF', 'MSFT')
		  GROUP BY 1, 2
		),


		grand_total AS
		(
		  SELECT SUM(convs) AS convs
		  FROM attrtype_browser_total
		)

		SELECT
		  browser_platform,
		  SAFE_DIVIDE(SUM(IF(UPPER(attribution_type)='ATTRIBUTED', abt.convs, 0)),
		              SUM(abt.convs)) AS percent_attributed,
		  SAFE_DIVIDE(SUM(IF(UPPER(attribution_type)='UNATTRIBUTED', abt.convs, 0)),
		              SUM(abt.convs)) AS percent_unattributed,
		  SAFE_DIVIDE(SUM(abt.convs), ANY_VALUE(gt.convs)) share_of_floodlight_conversions
		FROM attrtype_browser_total abt
		CROSS JOIN grand_total gt
		GROUP BY 1
		ORDER BY 4 DESC
	"""

  cm_segmentation = """
		SELECT
		  CONCAT(CM.Advertiser," - ",CAST(CM.Advertiser_Id AS STRING)) AS Advertiser,
		  CONCAT(CM.Campaign," - ",CAST(CM.Campaign_Id AS STRING)) AS Campaign,
		  CM.Site_Dcm,
		  CM.Browser_Platform AS Browser_Platform,
		  CMBrowser.Browser_Platform_detail AS Browser_Platform_detail,
		  CMBrowser.Browser_Platform_clean AS Browser_Platform_clean,
		  Platform_Type,
		  SiteSeg.Site_Type AS Site_Type,
		  CAST(Week AS DATE) AS Week,
		  SUM(CM.Impressions) AS Impressions,
		  SUM(Clicks) AS Clicks,
		  SUM(Total_Conversions) AS Total_Conversions,
		  SUM(Click_Through_Conversions) AS Click_Through_Conversions,
		  SUM(View_Through_Conversions) AS View_Through_Conversions
		FROM
		  `{{project_id}}.{{dataset}}.z_CM_Browser_Report_Dirty` AS CM
		LEFT JOIN
		  `{{project_id}}.{{dataset}}.z_CM_Site_Segmentation` AS SiteSeg
		ON
		  CM.Site_Dcm = SiteSeg.Site_Dcm
		LEFT JOIN
		  `{{project_id}}.{{dataset}}.z_CM_Browser_lookup` AS CMBrowser
		ON
		  CM.Browser_Platform = CMBrowser.Browser_Platform
		GROUP BY
		  Advertiser,
		  Campaign,
		  Site_Dcm,
		  Browser_Platform,
		  Browser_Platform_detail,
		  Browser_Platform_clean,
		  Platform_Type,
		  Site_Type,
		  Week
	"""

  cm_site_segmentation = """
		SELECT
		r.Site_Dcm,
		Sum(r.Impressions) AS Impressions,
		s.Site_Type
		FROM `{{project_id}}.{{dataset}}.z_CM_Browser_Report_Dirty` as r
		left join `{{project_id}}.{{dataset}}.z_CM_Site_Segmentation_Sheet` as s
		on r.Site_Dcm = s.Site_Dcm
		Group By
		Site_Dcm,
		Site_Type
		Order By
		Impressions desc
	"""

  dv360_custom_segments = """
		SELECT DISTINCT
			c.Advertiser,
			c.Advertiser_Id,
			c.Campaign,
			c.Campaign_Id,
			c.Insertion_Order,
			c.Insertion_Order_Id,
			c.Line_Item,
			c.Line_Item_Id,
			c.Line_Item_Type,
			sum(c.Impressions),
			s.Segment1,
			s.Segment2,
			s.Segment3
		from
			`{{project_id}}.{{dataset}}.z_Dv360_Browser_Report_Dirty` as c
		left join
			`{{project_id}}.{{dataset}}.z_Custom_Segments_Sheet` as s
		on
			c.Line_Item_Id = s.Line_Item_Id
		where
			c.Line_Item_Type != "TrueView"
		Group By
			c.Advertiser,
			c.Advertiser_Id,
			c.Campaign,
			c.Campaign_Id,
			c.Insertion_Order,
			c.Insertion_Order_Id,
			c.Line_Item,
			c.Line_Item_Id,
			c.Line_Item_Type,
			s.Segment1,
			s.Segment2,
			s.Segment3
	"""

  safari_distribution_90days = """
		  SELECT
		  Partner,
		  Advertiser,
		  Campaign,
		  Environment,
		  Device,
		  CASE
		    when Line_Item_Type = "TrueView" THEN "TrueView"
		    ELSE Concat(Device,"-",Environment)
		  END AS Device_Environment,
		  Week_start,
		  Line_item_type,
		  CASE
		    WHEN Browser_detail="Safari" THEN "Safari 12+13"
		    WHEN Browser_detail="Safari 12" THEN "Safari 12+13"
		    WHEN Browser_detail="Safari 11" THEN "Safari 11"
		  ELSE
		  "Other Safari"
			END
			  AS Browser_Rollup,
			  SUM(Impressions) AS Impressions
			FROM
			  `{{project_id}}.{{dataset}}.z_DV360_Browser_Report_Clean`
			WHERE
			  Browser = 'Safari'
			  AND
			  DATE_DIFF(CURRENT_DATE(),Week_start,WEEK)<12
			GROUP BY
			  Browser_Rollup,
			  Partner,
			  Advertiser,
			  Campaign,
			  Environment,
			  Device,
			  Device_Environment,
			  Line_item_type,
			  Week_start
			ORDER BY
			  Impressions DESC
	"""

  sdf_join = """
		SELECT
		C.Campaign_Id as Campaign_Id,
		C.Advertiser_Id as Advertiser_Id,
		C.Name as Campaign_Name,
		IO.Io_Id as IO_Id,
		IO.Name as IO_Name,
		IO.Io_Type as IO_Type,
		IO.Pacing as IO_Pacing,
		IO.Performance_Goal_Type as IO_Performance_Goal_Type,
		IO.Performance_Goal_Value as IO_Performance_Goal_Value,
		IO.Budget_Type as IO_Budget_Type,
		IO.Budget_Segments as IO_Budget_Segments,
		IO.Auto_Budget_Allocation as IO_Auto_Budget_Allocation,
		LI.Line_Item_Id as LI_Id,
		LI.Type as LI_Type,
		LI.Subtype as LI_Subtype,
		LI.Name as LI_Name,
		LI.Budget_Type as LI_Budget_Type,
		LI.Budget_Amount as LI_Budget_Amount,
		LI.Pacing as LI_Pacing,
		LI.Pacing_Rate as LI_Pacing_Rate,
		LI.Bid_Strategy_Type as LI_Bid_Strategy_Type,
		LI.Bid_Strategy_Do_Not_Exceed as LI_Bid_Strategy_Do_Not_Exceed,
		LI.Geography_Targeting_Include as LI_Geography_Targeting_Include,
		LI.Geography_Targeting_Exclude as LI_Geography_Targeting_Exclude,
		LI.Device_Targeting_Include as LI_Device_Targeting_Include,
		LI.Device_Targeting_Exclude as LI_Device_Targeting_Exclude,
		LI.Browser_Targeting_Include as LI_Browser_Targeting_Include,
		LI.Browser_Targeting_Exclude as LI_Browser_Targeting_Exclude,

		LI.Third_Party_Verification_Services as LI_Third_Party_Verification_Services,
		LI.Third_Party_Verification_Labels as LI_Third_Party_Verification_Labels,
		LI.Channel_Targeting_Include as LI_Channel_Targeting_Include,
		LI.Channel_Targeting_Exclude as LI_Channel_Targeting_Exclude,
		LI.Site_Targeting_Include as LI_Site_Targeting_Include,
		LI.Site_Targeting_Exclude as LI_Site_Targeting_Exclude,
		LI.App_Targeting_Include as LI_App_Targeting_Include,
		LI.App_Targeting_Exclude as LI_App_Targeting_Exclude,
		LI.App_Collection_Targeting_Include as LI_App_Collection_Targeting_Include,
		LI.App_Collection_Targeting_Exclude as LI_App_Collection_Targeting_Exclude,
		LI.Category_Targeting_Include as LI_Category_Targeting_Include,
		LI.Category_Targeting_Exclude as LI_Category_Targeting_Exclude,
		LI.Keyword_Targeting_Include as LI_Keyword_Targeting_Include,
		LI.Keyword_Targeting_Exclude as LI_Keyword_Targeting_Exclude,
		LI.Keyword_List_Targeting_Exclude as LI_Keyword_List_Targeting_Exclude,
		LI.Audience_Targeting_Similar_Audiences as LI_Audience_Targeting_Similar_Audiences,
		LI.Audience_Targeting_Include as LI_Audience_Targeting_Include,
		LI.Audience_Targeting_Exclude as LI_Audience_Targeting_Exclude,
		LI.Affinity_In_Market_Targeting_Include as LI_Affinity_In_Market_Targeting_Include,
		LI.Affinity_In_Market_Targeting_Exclude as LI_Affinity_In_Market_Targeting_Exclude,
		LI.Custom_List_Targeting as LI_Custom_List_Targeting,
		LI.Daypart_Targeting as LI_Daypart_Targeting,
		LI.Daypart_Targeting_Time_Zone as LI_Daypart_Targeting_Time_Zone,
		LI.Environment_Targeting as LI_Environment_Targeting,
		LI.Demographic_Targeting_Gender as LI_Demographic_Targeting_Gender,
		LI.Demographic_Targeting_Age as LI_Demographic_Targeting_Age,
		LI.Demographic_Targeting_Household_Income as LI_Demographic_Targeting_Household_Income,
		LI.Demographic_Targeting_Parental_Status as LI_Demographic_Targeting_Parental_Status

		FROM
		  `{{project_id}}.{{dataset}}.SDF_campaign` AS C
		LEFT JOIN
		  `{{project_id}}.{{dataset}}.SDF_insertion_order` AS IO
		ON
		  C.Campaign_Id = IO.Campaign_Id
		LEFT JOIN
		  `{{project_id}}.{{dataset}}.SDF_line_item` AS LI
		ON
		  IO.Io_Id = LI.Io_Id
		GROUP BY
		Campaign_Id,
		Advertiser_Id,
		Campaign_Name,
		IO_Id,
		IO_Name,
		IO_Type,
		IO_Pacing,
		IO_Performance_Goal_Type,
		IO_Performance_Goal_Value,
		IO_Budget_Type,
		IO_Budget_Segments,
		IO_Auto_Budget_Allocation,
		LI_Id,
		LI_Type,
		LI_Subtype,
		LI_Name,
		LI_Budget_Type,
		LI_Budget_Amount,
		LI_Pacing,
		LI_Pacing_Rate,
		LI_Bid_Strategy_Type,
		LI_Bid_Strategy_Do_Not_Exceed,
		LI_Geography_Targeting_Include,
		LI_Geography_Targeting_Exclude,
		LI_Device_Targeting_Include,
		LI_Device_Targeting_Exclude,
		LI_Browser_Targeting_Include,
		LI_Browser_Targeting_Exclude,
		LI_Third_Party_Verification_Services,
		LI_Third_Party_Verification_Labels,
		LI_Channel_Targeting_Include,
		LI_Channel_Targeting_Exclude,
		LI_Site_Targeting_Include,
		LI_Site_Targeting_Exclude,
		LI_App_Targeting_Include,
		LI_App_Targeting_Exclude,
		LI_App_Collection_Targeting_Include,
		LI_App_Collection_Targeting_Exclude,
		LI_Category_Targeting_Include,
		LI_Category_Targeting_Exclude,
		LI_Keyword_Targeting_Include,
		LI_Keyword_Targeting_Exclude,
		LI_Keyword_List_Targeting_Exclude,
		LI_Audience_Targeting_Similar_Audiences,
		LI_Audience_Targeting_Include,
		LI_Audience_Targeting_Exclude,
		LI_Affinity_In_Market_Targeting_Include,
		LI_Affinity_In_Market_Targeting_Exclude,
		LI_Custom_List_Targeting,
		LI_Daypart_Targeting,
		LI_Daypart_Targeting_Time_Zone,
		LI_Environment_Targeting,
		LI_Demographic_Targeting_Gender,
		LI_Demographic_Targeting_Age,
		LI_Demographic_Targeting_Household_Income,
		LI_Demographic_Targeting_Parental_Status
	"""
