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| Example Input 2 | |
| Search Term: Metro Bank | |
| Opportunity Dates Data: Metro Bank account_name, industry, channel, opportunity_name, opportunity_foreign_id, start_date, end_date Metro Bank, Financial Services, broadcast, Metro Bank Q1 Radio WLTW-FM NYC, 006Ps00000ABC123IA1, 2025-01-06, 2025-02-02 Metro Bank, Financial Services, broadcast, Metro Bank Q1 Radio KIIS-FM LA, 006Ps00000ABC124IA1, 2025-01-06, 2025-02-02 Metro Bank, Financial Services, digital, Metro Bank Q1 Display Campaign, 006Ps00000XYZ456IA1, 2025-01-13, 2025-02-09 Metro Bank, Financial Services, broadcast, Metro Bank Tax Season Push WBLS NYC, 006Ps00000ABC125IA1, 2025-02-10, 2025-03-16 Metro Bank, Financial Services, digital, Metro Bank Tax Season Digital, 006Ps00000XYZ457IA1, 2025-02-17, 2025-03-23 | |
| Broadcast Daily Impressions: date, broadcast_delivered_impressions, broadcast_ordered_impressions 1/6/25, 145320, 142000 1/7/25, 158940, 155000 1/8/25, 162450, 158000 1/9/25, 171230, 167000 1/10/25, 168920, 165000 1/11/25, 95340, 93000 1/12/25, 87650, 85000 |
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| Example Input 1 | |
| Search Term: Boost Mobile | |
| Opportunity Dates Data: Boost Mobile account_name, industry, sub_industry, broadcast_product, opportunity_name, opportunity_foreign_id, advertiser_category, start_date, end_date Boost Mobile, Telecommunication, Cellular Phones, adsplus, Boost Mobi-BOOST Mobile Q2 Chicago-Tzakis, Coco-ChicIL-14891332, 006Ps00000RVuOAIA1, Cell Phones, 2025-05-19, 2025-06-22 Boost Mobile, Telecommunication, Cellular Store, adsplus, Ntl-WJLB-FM Boost Mobi/Gold N Fis4.28 Detroit-37901369-14890945, 006Ps00000RVnOIIA1, 2025-05-19, 2025-06-14 Boost Mobile, Telecommunication, Cellular Phones, adsplus, Boost Mobile Q2 2025 Power99-14639590, 006Ps00000MhtRDIAZ, Cell Phones, 2025-05-05, 2025-06-01 Boost Mobile, Telecommunication, Cellular Store, adsplus, Ntl-WKQI-FM Boost Mobi/Gold N Fis4.28 Detroit-37901370-14890943, 006Ps00000RVnOHIA1, 2025-04-28, 2025-05-11 Boost Mobile, Telecommunication, Cellular Phones, adsplus, Boost Mobile Q1 TAX SEASON Rumba, WDAS and WUSL-LOKOFF, JODI-PhilPA-Copy-143939 |
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| version: '2' | |
| services: | |
| postgres: | |
| image: postgres:9.6 | |
| container_name: postgres | |
| ports: | |
| - "5432:5432" | |
| environment: | |
| POSTGRES_PASSWORD: postgres_password | |
| POSTGRES_USER: postgres_user |
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| CREATE TABLE jobs \ | |
| (id INT, \ | |
| configuration VARCHAR, \ | |
| extraParameters VARCHAR, \ | |
| jobInstanceId VARCHAR, \ | |
| network VARCHAR, \ | |
| duration INT, | |
| durationUnit VARCHAR) \ | |
| WITH (KAFKA_TOPIC='jobs', \ | |
| VALUE_FORMAT='JSON', \ |
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| brand_id | brand_name | publisher | lineitem_id | media_budget | end_date | start_date | days_remain | is_5days_end | lineitem_foreign_id | lineitem_name | adaccount_id | adaccount_name | actual_days_num | avg_3day_media_spend | yesterday_media_spent | spent_today | spent_through_yesterday | budget_remaining_as_of_yesterday | true_pacing_pct | pacing_status_key | pacing_status | is_underpasing | is_overpacing | pacing_trend_pct | spent_to_date | budget_remain | budget_complete_pct | budget_at_risk | avg_daily_spend_target | open_media_budget | open_media_budget_pct | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0f543841-6eba-4029-9a34-d735215111df | Spotify | 195dd03a-86cb-43e0-b5ac-7418c9dd1deb | 100000000 | 2018-01-01 00:00:00 | 2017-01-01 00:00:00 | -407 | 0 | PM - Subs Evergreen 2 | 1437331579719236 | PM - Subs Evergreen 2 | 3 | 0.00 | 0.00 | 0.00 | 0.00 | 100000000.00 | 0 | 1 | Underpacing | 1 | 0 | 0 | 0.00 | 100000000 | 0 | 100000000.00 | 0 | 0.00 | 0.00 |
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| { | |
| "breakdowns": null, | |
| "default_summary": true, | |
| "action_attribution_windows": "['1d_view', '28d_click']", | |
| "level": "ad", | |
| "line_item_id": "5f6b9a02-ab27-4c6b-8a19-8652273c218f", | |
| "fields": "reach,cpp,frequency,unique_actions,total_unique_actions,estimated_ad_recallers,cost_per_estimated_ad_recallers,estimated_ad_recall_rate,unique_inline_link_clicks,video_avg_percent_watched_actions,video_avg_time_watched_actions,canvas_avg_view_time,canvas_avg_view_percent,unique_clicks,unique_inline_link_click_ctr,cost_per_unique_inline_link_click", | |
| "ids": "23842713111030454,23842713111100454,23842713111110454,23842713111120454,23842713111130454,23842713111140454,23842713111150454,23842713111160454,23842713111170454,23842713111180454,23842713111190454,23842713111200454,23842713111210454,23842713111220454,23842713111230454,23842713111240454,23842713111250454,23842713111260454,23842713111270454,23842713111280454,23842713111290454,23842713111300454,23842713111310454,23842713111320454,23842713111330454, |
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| it('should dispatch action', (done) => { | |
| const getState = {} | |
| const action = { type: 'ADD_TODO' } | |
| const expectedActions = [action] | |
| const store = mockStore(getState, expectedActions, done) | |
| store.dispatch(action) | |
| }) |
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| it('should set token', () => { | |
| const nextState = reducer(undefined, { | |
| type: USER_SET_TOKEN, | |
| token: 'my-token' | |
| }) | |
| // immutable.js state output | |
| expect(nextState.toJS()).to.be.eql({ | |
| token: 'my-token' | |
| }) |
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| it('simulates click events', () => { | |
| const onButtonClick = sinon.spy() | |
| const wrapper = shallow( | |
| <Foo onButtonClick={onButtonClick} /> | |
| ) | |
| wrapper.find('button').simulate('click') | |
| expect(onButtonClick.calledOnce).to.be.true | |
| }) |
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| const LatestPostsComponent = props => { | |
| const postPreviews = renderPostPreviews(props.posts); | |
| return ( | |
| <section> | |
| <div><h1>Latest posts</h1></div> | |
| <div> | |
| { postPreviews } | |
| </div> | |
| </section> |
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