regex mapping script
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83
do_map.pgsql
Normal file
83
do_map.pgsql
Normal file
@ -0,0 +1,83 @@
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WITH
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--------------------apply regex operations to transactions-----------------------------------------------------------------------------------
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rx AS (
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SELECT
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m.srce,
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m.target,
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t.id,
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jsonb_build_object(
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e.v ->> 'key',
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(t.rec #> ((e.v ->> 'key')::text[]))
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) AS rkey,
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jsonb_build_object(
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e.v->>'field',
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CASE WHEN array_upper(mt.mt,1)=1
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THEN to_json(mt.mt[1])
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ELSE array_to_json(mt.mt)
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END
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) retval,
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m.seq
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FROM
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tps.map_rm m
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LEFT JOIN LATERAL jsonb_array_elements(m.regex->'where') w(v) ON TRUE
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JOIN tps.trans t ON
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t.srce = m.srce AND
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t.rec @> w.v
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LEFT JOIN LATERAL jsonb_array_elements(m.regex->'defn') WITH ORDINALITY e(v, rn) ON true
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LEFT JOIN LATERAL regexp_matches(t.rec #>> ((e.v ->> 'key')::text[]), e.v ->> 'regex'::text) WITH ORDINALITY mt(mt, rn) ON true
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WHERE
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t.srce = 'PNCC'
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ORDER BY
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m.srce,
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m.seq,
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m.target,
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t.id,
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e.rn
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),
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----------aggregate regex back to the target level (may be several targets per row)---------------------------------------------------------------
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agg_rx AS (
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SELECT
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rx.srce,
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rx.target,
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rx.id,
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tps.jsonb_concat_obj(rx.rkey) rkey,
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tps.jsonb_concat_obj(rx.retval) AS retval,
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rx.seq
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FROM
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--unwrap json instruction and apply regex using a count per original line for re-aggregation
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--need to look at integrating regex option like 'g' that would then need aggegated back as an array, or adding the ordinality number to the title
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rx
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GROUP BY
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rx.srce,
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rx.target,
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rx.id,
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rx.seq
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)
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-------------aggregate all targets back to row level (id)------------------------------------------------------------------------------------------------
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SELECT
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u.srce,
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u.id,
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string_agg(u.target,',') target,
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jsonb_pretty(tps.jsonb_concat_obj(coalesce(v.map,'{}'::jsonb) ORDER BY seq )) map,
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jsonb_pretty(tps.jsonb_concat_obj(u.retval||coalesce(v.map,'{}'::jsonb) ORDER BY seq)) comb
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FROM
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--re-aggregate return values and explude any records where one or more regex failed with a null result
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agg_rx u
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LEFT OUTER JOIN tps.map_rv v ON
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v.target = u.target AND
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v.srce = u.srce AND
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v.retval <@ u.retval
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GROUP BY
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u.srce,
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u.id
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LIMIT 1000
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