feat(1c): add company intelligence forecasting layer
This commit is contained in:
igor04091968
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CREATE TABLE IF NOT EXISTS analytics_1c.company_forecasts
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(
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generated_at DateTime,
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as_of_date Date,
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infobase LowCardinality(String),
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counterparty String,
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horizon_days UInt16,
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metric LowCardinality(String),
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baseline_daily Float64,
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trend_slope Float64,
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predicted_daily Float64,
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predicted_total Float64,
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confidence Float32,
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model LowCardinality(String),
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source_days UInt16,
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note String
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)
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ENGINE = MergeTree
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ORDER BY (generated_at, infobase, counterparty, metric, horizon_days);
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CREATE TABLE IF NOT EXISTS analytics_1c.company_health_signals
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(
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generated_at DateTime,
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infobase LowCardinality(String),
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counterparty String,
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signal_id String,
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severity LowCardinality(String),
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score UInt32,
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signal_type LowCardinality(String),
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summary String,
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amount_7d Float64,
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amount_prev_7d Float64,
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docs_7d UInt32,
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docs_prev_7d UInt32,
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days_since_last_activity UInt16,
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open_cases_total UInt32,
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detections_total UInt32
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)
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ENGINE = MergeTree
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ORDER BY (generated_at, severity, infobase, counterparty, signal_id);
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CREATE VIEW IF NOT EXISTS analytics_1c.v_counterparty_daily AS
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SELECT
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toDate(ts) AS d,
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infobase,
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organization,
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counterparty,
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count() AS docs_total,
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sum(amount) AS amount_total,
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countIf(posted = 1) AS posted_docs_total,
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countIf(posted = 0) AS unposted_docs_total,
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countIf(status = 'busy') AS busy_docs_total,
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countIf(status = 'online') AS online_docs_total,
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uniqExact(doc_type) AS doc_types_total
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FROM analytics_1c.documents
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WHERE counterparty != ''
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GROUP BY d, infobase, organization, counterparty;
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CREATE VIEW IF NOT EXISTS analytics_1c.v_counterparty_latest_activity AS
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SELECT
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infobase,
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organization,
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counterparty,
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max(ts) AS last_seen_at,
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argMax(doc_type, ts) AS last_doc_type,
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argMax(operation_type, ts) AS last_operation_type,
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argMax(status, ts) AS last_status,
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argMax(amount, ts) AS last_amount,
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count() AS docs_lifetime,
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sum(amount) AS amount_lifetime
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FROM analytics_1c.documents
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WHERE counterparty != ''
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GROUP BY infobase, organization, counterparty;
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CREATE VIEW IF NOT EXISTS analytics_1c.v_company_forecasts_current AS
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SELECT *
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FROM analytics_1c.company_forecasts
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WHERE generated_at = (SELECT max(generated_at) FROM analytics_1c.company_forecasts);
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CREATE VIEW IF NOT EXISTS analytics_1c.v_company_health_current AS
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SELECT *
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FROM analytics_1c.company_health_signals
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WHERE generated_at = (SELECT max(generated_at) FROM analytics_1c.company_health_signals);
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CREATE VIEW IF NOT EXISTS analytics_1c.v_company_portfolio_overview AS
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WITH
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base AS
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(
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SELECT *
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FROM analytics_1c.v_counterparty_latest_activity
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),
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d7 AS
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(
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SELECT
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infobase,
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counterparty,
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sum(docs_total) AS docs_7d,
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sum(amount_total) AS amount_7d
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FROM analytics_1c.v_counterparty_daily
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WHERE d >= today() - 7
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GROUP BY infobase, counterparty
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),
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d30 AS
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(
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SELECT
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infobase,
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counterparty,
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countDistinct(d) AS active_days_30d,
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sum(docs_total) AS docs_30d,
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sum(amount_total) AS amount_30d,
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sum(busy_docs_total) AS busy_docs_30d
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FROM analytics_1c.v_counterparty_daily
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WHERE d >= today() - 30
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GROUP BY infobase, counterparty
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),
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signals AS
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(
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SELECT
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infobase,
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counterparty,
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max(score) AS signal_score,
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argMax(severity, score) AS signal_severity,
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argMax(summary, score) AS top_signal
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FROM analytics_1c.v_company_health_current
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GROUP BY infobase, counterparty
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),
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amount_forecast AS
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(
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SELECT
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infobase,
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counterparty,
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predicted_total AS amount_forecast_30d,
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confidence AS amount_forecast_confidence
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FROM analytics_1c.v_company_forecasts_current
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WHERE metric = 'amount_total'
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AND horizon_days = 30
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),
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docs_forecast AS
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(
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SELECT
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infobase,
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counterparty,
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predicted_total AS docs_forecast_30d,
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confidence AS docs_forecast_confidence
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FROM analytics_1c.v_company_forecasts_current
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WHERE metric = 'docs_total'
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AND horizon_days = 30
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),
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cases_current AS
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(
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SELECT
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infobase,
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entity_id AS counterparty,
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countIf(status != 'closed') AS open_cases_total
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FROM analytics_1c.cases
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WHERE entity_type = 'counterparty'
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GROUP BY infobase, counterparty
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),
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detections_current AS
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(
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SELECT
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infobase,
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entity_id AS counterparty,
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count() AS detections_total
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FROM analytics_1c.detections
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WHERE entity_type = 'counterparty'
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AND status != 'closed'
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GROUP BY infobase, counterparty
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)
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SELECT
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base.infobase AS infobase,
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base.organization,
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base.counterparty AS counterparty,
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base.last_seen_at,
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base.last_doc_type,
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base.last_operation_type,
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base.last_status,
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dateDiff('day', toDate(base.last_seen_at), today()) AS days_since_last_activity,
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ifNull(d7.docs_7d, 0) AS docs_7d,
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ifNull(d7.amount_7d, 0) AS amount_7d,
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ifNull(d30.active_days_30d, 0) AS active_days_30d,
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ifNull(d30.docs_30d, 0) AS docs_30d,
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ifNull(d30.amount_30d, 0) AS amount_30d,
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ifNull(d30.busy_docs_30d, 0) AS busy_docs_30d,
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ifNull(amount_forecast.amount_forecast_30d, 0) AS amount_forecast_30d,
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ifNull(amount_forecast.amount_forecast_confidence, 0) AS amount_forecast_confidence,
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ifNull(docs_forecast.docs_forecast_30d, 0) AS docs_forecast_30d,
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ifNull(docs_forecast.docs_forecast_confidence, 0) AS docs_forecast_confidence,
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ifNull(cases_current.open_cases_total, 0) AS open_cases_total,
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ifNull(detections_current.detections_total, 0) AS detections_total,
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ifNull(signals.signal_severity, 'none') AS signal_severity,
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ifNull(signals.signal_score, 0) AS signal_score,
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ifNull(signals.top_signal, '') AS top_signal
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FROM base
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LEFT JOIN d7 ON d7.infobase = base.infobase AND d7.counterparty = base.counterparty
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LEFT JOIN d30 ON d30.infobase = base.infobase AND d30.counterparty = base.counterparty
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LEFT JOIN signals ON signals.infobase = base.infobase AND signals.counterparty = base.counterparty
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LEFT JOIN amount_forecast ON amount_forecast.infobase = base.infobase AND amount_forecast.counterparty = base.counterparty
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LEFT JOIN docs_forecast ON docs_forecast.infobase = base.infobase AND docs_forecast.counterparty = base.counterparty
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LEFT JOIN cases_current ON cases_current.infobase = base.infobase AND cases_current.counterparty = base.counterparty
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LEFT JOIN detections_current ON detections_current.infobase = base.infobase AND detections_current.counterparty = base.counterparty;
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