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- respiratory_detections_cols = (
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- "epiweek" ,
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- "time_value" ,
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- "issue" ,
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- "geo_type" ,
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- "geo_value" ,
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- "sarscov2_tests" ,
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- "sarscov2_positive_tests" ,
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- "flu_tests" ,
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- "flu_positive_tests" ,
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- "fluah1n1pdm09_positive_tests" ,
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- "fluah3_positive_tests" ,
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- "fluauns_positive_tests" ,
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- "flua_positive_tests" ,
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- "flub_positive_tests" ,
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- "rsv_tests" ,
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- "rsv_positive_tests" ,
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- "hpiv_tests" ,
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- "hpiv1_positive_tests" ,
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- "hpiv2_positive_tests" ,
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- "hpiv3_positive_tests" ,
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- "hpiv4_positive_tests" ,
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- "hpivother_positive_tests" ,
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- "adv_tests" ,
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- "adv_positive_tests" ,
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- "hmpv_tests" ,
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- "hmpv_positive_tests" ,
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- "evrv_tests" ,
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- "evrv_positive_tests" ,
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- "hcov_tests" ,
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- "hcov_positive_tests" ,
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- "week" ,
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- "weekorder" ,
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- "year"
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- )
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+ # respiratory_detections_cols= (
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+ # "epiweek",
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+ # "time_value",
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+ # "issue",
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+ # "geo_type",
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+ # "geo_value",
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+ # "sarscov2_tests",
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+ # "sarscov2_positive_tests",
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+ # "flu_tests",
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+ # "flu_positive_tests",
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+ # "fluah1n1pdm09_positive_tests",
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+ # "fluah3_positive_tests",
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+ # "fluauns_positive_tests",
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+ # "flua_positive_tests",
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+ # "flub_positive_tests",
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+ # "rsv_tests",
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+ # "rsv_positive_tests",
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+ # "hpiv_tests",
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+ # "hpiv1_positive_tests",
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+ # "hpiv2_positive_tests",
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+ # "hpiv3_positive_tests",
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+ # "hpiv4_positive_tests",
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+ # "hpivother_positive_tests",
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+ # "adv_tests",
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+ # "adv_positive_tests",
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+ # "hmpv_tests",
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+ # "hmpv_positive_tests",
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+ # "evrv_tests",
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+ # "evrv_positive_tests",
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+ # "hcov_tests",
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+ # "hcov_positive_tests",
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+ # "week",
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+ # "weekorder",
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+ # "year"
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+ # )
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- pct_positive_cols = (
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- "epiweek" ,
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- "time_value" ,
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- "issue" ,
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- "geo_type" ,
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- "geo_value" ,
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- "evrv_pct_positive" ,
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- "evrv_tests" ,
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- "evrv_positive_tests" ,
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- "hpiv_pct_positive" ,
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- "hpiv_tests" ,
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- "hpiv_positive_tests" ,
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- "adv_pct_positive" ,
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- "adv_tests" ,
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- "adv_positive_tests" ,
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- "hcov_pct_positive" ,
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- "hcov_tests" ,
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- "hcov_positive_tests" ,
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- "flua_pct_positive" ,
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- "flub_pct_positive" ,
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- "flu_tests" ,
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- "flua_positive_tests" ,
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- "flua_tests" ,
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- "flub_tests" ,
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- "flub_positive_tests" ,
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- "flu_positive_tests" ,
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- "flu_pct_positive" ,
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- "hmpv_pct_positive" ,
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- "hmpv_tests" ,
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- "hmpv_positive_tests" ,
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- "rsv_pct_positive" ,
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- "rsv_tests" ,
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- "rsv_positive_tests" ,
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- "sarscov2_pct_positive" ,
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- "sarscov2_tests" ,
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- "sarscov2_positive_tests" ,
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- "region" ,
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- "week" ,
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- "weekorder" ,
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- "year"
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- )
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+ # pct_positive_cols = (
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+ # "epiweek",
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+ # "time_value",
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+ # "issue",
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+ # "geo_type",
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+ # "geo_value",
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+ # "evrv_pct_positive",
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+ # "evrv_tests",
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+ # "evrv_positive_tests",
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+ # "hpiv_pct_positive",
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+ # "hpiv_tests",
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+ # "hpiv_positive_tests",
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+ # "adv_pct_positive",
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+ # "adv_tests",
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+ # "adv_positive_tests",
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+ # "hcov_pct_positive",
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+ # "hcov_tests",
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+ # "hcov_positive_tests",
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+ # "flua_pct_positive",
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+ # "flub_pct_positive",
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+ # "flu_tests",
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+ # "flua_positive_tests",
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+ # "flua_tests",
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+ # "flub_tests",
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+ # "flub_positive_tests",
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+ # "flu_positive_tests",
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+ # "flu_pct_positive",
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+ # "hmpv_pct_positive",
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+ # "hmpv_tests",
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+ # "hmpv_positive_tests",
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+ # "rsv_pct_positive",
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+ # "rsv_tests",
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+ # "rsv_positive_tests",
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+ # "sarscov2_pct_positive",
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+ # "sarscov2_tests",
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+ # "sarscov2_positive_tests",
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+ # "region",
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+ # "week",
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+ # "weekorder",
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+ # "year"
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+ # )
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- detections_counts_cols = (
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- "epiweek" ,
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- "time_value" ,
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- "issue" ,
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- "geo_type" ,
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- "geo_value" ,
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- "hpiv_positive_tests" ,
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- "adv_positive_tests" ,
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- "hmpv_positive_tests" ,
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- "evrv_positive_tests" ,
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- "hcov_positive_tests" ,
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- "rsv_positive_tests" ,
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- "flu_positive_tests"
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- )
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+ # detections_counts_cols = (
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+ # "epiweek",
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+ # "time_value",
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+ # "issue" ,
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+ # "geo_type",
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+ # "geo_value",
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+ # "hpiv_positive_tests",
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+ # "adv_positive_tests",
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+ # "hmpv_positive_tests",
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+ # "evrv_positive_tests",
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+ # "hcov_positive_tests",
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+ # "rsv_positive_tests",
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+ # "flu_positive_tests"
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+ # )
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- expected_table_names = {
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- "respiratory_detection" :"rvdss_repiratory_detections" ,
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- "positive" :"rvdss_pct_positive" ,
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- "count" : "rvdss_detections_counts"
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- }
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+ # expected_table_names = {
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+ # "respiratory_detection":"rvdss_repiratory_detections",
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+ # "positive":"rvdss_pct_positive" ,
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+ # "count": "rvdss_detections_counts"
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+ # }
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- expected_columns = {
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- "respiratory_detection" :respiratory_detections_cols ,
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- "positive" : pct_positive_cols ,
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- "count" :detections_counts_cols
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- }
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+ # expected_columns = {
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+ # "respiratory_detection":respiratory_detections_cols,
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+ # "positive": pct_positive_cols,
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+ # "count":detections_counts_cols
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+ # }
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+
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+ rvdss_cols = (
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+ "epiweek" ,
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+ "time_value" ,
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+ "issue" ,
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+ "geo_type" ,
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+ "geo_value" ,
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+ "sarscov2_tests" ,
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+ "sarscov2_positive_tests" ,
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+ "sarscov2_pct_positive" ,
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+ "flu_tests" ,
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+ "flu_positive_tests" ,
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+ "flu_pct_positive" ,
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+ "fluah1n1pdm09_positive_tests" ,
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+ "fluah3_positive_tests" ,
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+ "fluauns_positive_tests" ,
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+ "flua_positive_tests" ,
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+ "flua_tests" ,
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+ "flua_pct_positive" ,
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+ "flub_positive_tests" ,
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+ "flub_tests" ,
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+ "flub_pct_positive" ,
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+ "rsv_tests" ,
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+ "rsv_positive_tests" ,
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+ "rsv_pct_positive" ,
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+ "hpiv_tests" ,
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+ "hpiv1_positive_tests" ,
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+ "hpiv2_positive_tests" ,
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+ "hpiv3_positive_tests" ,
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+ "hpiv4_positive_tests" ,
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+ "hpivother_positive_tests" ,
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+ "hpiv_positive_tests" ,
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+ "hpiv_pct_positive" ,
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+ "adv_tests" ,
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+ "adv_positive_tests" ,
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+ "adv_pct_positive" ,
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+ "hmpv_tests" ,
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+ "hmpv_positive_tests" ,
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+ "hmpv_pct_positive" ,
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+ "evrv_tests" ,
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+ "evrv_positive_tests" ,
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+ "evrv_pct_positive" ,
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+ "hcov_tests" ,
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+ "hcov_positive_tests" ,
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+ "hcov_pct_positive" ,
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+ "week" ,
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+ "weekorder" ,
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+ "year" ,
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+ "region"
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+ )
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- def get_num_rows (cursor , table_name ):
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- cursor .execute ("SELECT count(1) `num` FROM `{table_name} `" )
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+ def get_num_rows (cursor ):
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+ cursor .execute ("SELECT count(1) `num` FROM `rvdss `" )
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for (num ,) in cursor :
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pass
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return num
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- def update (data_dict ,logger ):
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+ def update (data ,logger ):
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# connect to the database
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u , p = secrets .db .epi
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cnx = mysql .connector .connect (user = u , password = p , database = "epidata" )
@@ -157,36 +207,57 @@ def update(data_dict,logger):
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log_exceptions = True ,
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)
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- for tt in data_dict .keys ():
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- data = data_dict [tt ]
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- data_tuples = list (data .itertuples (index = False ,name = None ))
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- # loop though table types
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- table_name = expected_table_names [tt ]
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- cols = expected_columns [tt ]
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- place_holders = ', ' .join (["?" for _ in cols ])
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- field_names = ", " .join (
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- f"`{ name } `" for name in cols )
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+ # for tt in data_dict.keys():
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+ # data = data_dict[tt]
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+ # data_tuples = list(data.itertuples(index=False,name=None))
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+ # # loop though table types
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+ # table_name = expected_table_names[tt]
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+ # cols = expected_columns[tt]
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+ # place_holders= ', '.join(["?" for _ in cols])
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+ # field_names = ", ".join(
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+ # f"`{name}`" for name in cols)
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- field_values = ", " .join (
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- f"%({ name } )s" for name in cols )
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+ # field_values = ", ".join(
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+ # f"%({name})s" for name in cols)
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- #check rvdss for new and/or revised data
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- sql = f"""
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- INSERT INTO { table_name } ({ field_names } )
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- VALUES ({ field_values } )
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- """
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+ # #check rvdss for new and/or revised data
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+ # sql = f"""
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+ # INSERT INTO {table_name} ({field_names})
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+ # VALUES ({field_values})
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+ # """
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- # keep track of how many rows were added
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- rows_before = get_num_rows (cur ,table_name )
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- total_rows = 0
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+ # # keep track of how many rows were added
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+ # rows_before = get_num_rows(cur,table_name)
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+ # total_rows = 0
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- #insert data
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- cur .executemany (sql , data_tuples )
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+ # #insert data
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+ # cur.executemany(sql, data_tuples)
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- # keep track of how many rows were added
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- rows_after = get_num_rows (cur ,table_name )
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- logger .info (f"Inserted { int (rows_after - rows_before )} /{ int (total_rows )} row(s) into table { table_name } " )
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+ # # keep track of how many rows were added
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+ # rows_after = get_num_rows(cur,table_name)
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+ # logger.info(f"Inserted {int(rows_after - rows_before)}/{int(total_rows)} row(s) into table {table_name}")
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+ data_tuples = list (data .itertuples (index = False ,name = None ))
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+ field_names = ", " .join (f"`{ name } `" for name in rvdss_cols )
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+ field_values = ", " .join (f"%({ name } )s" for name in rvdss_cols )
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+
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+ #check rvdss for new and/or revised data
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+ sql = f"""
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+ INSERT INTO rvdss ({ field_names } )
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+ VALUES ({ field_values } )
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+ """
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+
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+ # keep track of how many rows were added
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+ rows_before = get_num_rows (cur )
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+ total_rows = 0
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+
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+ #insert data
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+ cur .executemany (sql , data_tuples )
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+
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+ # keep track of how many rows were added
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+ rows_after = get_num_rows (cur )
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+ logger .info (f"Inserted { int (rows_after - rows_before )} /{ int (total_rows )} row(s) into table rvdss" )
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+
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# cleanup
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cur .close ()
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cnx .commit ()
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