648 lines
130 KiB
Plaintext
648 lines
130 KiB
Plaintext
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analysis_engine.py — Core analytical layer for the SHEQ reporting tool.
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Accepts normalised DataFrames from data_loader and produces a structured
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results dict consumed by report_builder. All analysis is performed here;
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report_builder only formats and writes.
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Public API
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----------
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run_full_analysis(events, safety_energy, llc, start_date, split_date,
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pd1_name, pd2_name, output_dir) -> AnalysisResults
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C# u up p i u up p i u upi u upp1i u upi u upp1i u upi u upp1i u up@p?i )‰zÿ
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Build a rolling two-year Safety Energy trend and quality view.
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Counts come from Safety Energy. Quality is inferred through practical
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proxies such as text richness, specificity, action/follow-up signals,
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hazard recognition, and repeated generic entries.
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r� z<No Safety Energy data available for two-year trend analysis.ÚdatezANo Safety Energy records fall within the rolling two-year window.r« ©r< ÚQrZ Ú
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activity_typer[ )Ú year_quarterr¢ r rY rû ©rý Ú llc_topicÚ
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top_topicsÚ avg_at_riskrå râ rã Ú avg_actionsræ r c óH € \ V P 4 \ V 4 4 # rŠ rƒ r„ s &r; r½ Ú*_analyse_two_year_trends.<locals>.<lambda> s € ¼9ÀQÇUÁUÃWÌcÐRSËfÔ;Ur: r c óH € \ V P 4 \ V 4 4 # rŠ rƒ r„ s &r; r½ r« € ó € ÄÈ1Ï5É5Ë7ÔTWÐXYÓTZÔA[r: r
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c óH € \ V P 4 \ V 4 4 # rŠ rƒ r„ s &r; r½ r« � r r: )rH rI rM rL rP rH rI F©Ú ascendingrM rL rP ºNé NrJ rK rO rN rQ rS Úyear)rH Úqualityr Úcount_change_pctÚquality_changer´ Úmeaningful_change_pctr Úbusiness_unitsÚ input_depthÚyoyrµ ÚCCCc ó: € V R , ) V R, ) V R, 3# )rH rM rI r0 rb s &r; r½ r« Ð s € ˜˜'�
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�{ Q }Õ%5Ð$5°q¸ Õ7GÑHr: re c óH € \ V P 4 \ V 4 4 # rŠ rƒ r„ s &r; r½ r« Ú s € ¼YÀqÇuÁuÃwÔPSÐTUÓPVÔ=Wr: c óH € \ V P 4 \ V 4 4 # rŠ rƒ r„ s &r; r½ r« Û s € ´yÀÇÁÃÌ#ÈaË&Ô7Qr: )rH rI rP rM ÚperiodN)Ú
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month_namerÀ ÚOCCÚLLCz!CCCs averaged a quality score of ú.1fz/100 over the last z months, with z% assessed as shallow and z% assessed as high value.z, shows a high-volume / low-value pattern in z activity: z records with average quality z and z% shallow entries.z?Emerging Safety Energy themes in the recent six months include ú, c 3 ó2 " € T F
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qR , x € K R# 5i©r” Nr0 )rŒ rc s & r; r� Ú+_analyse_two_year_trends.<locals>.<genexpr>! s é € Ð@Ñ-?¨˜7ŸšÓ-?ùó ‚ºNé NÚ.zk records currently show the strongest overall documentation quality among the three leading activity types.r z.Input depth and quality are correlated at r = ú.2fzU, indicating that fuller records are a useful supporting signal for activity quality.zŽCCC records show a material level of repeated or duplicated wording, suggesting some checks may be drifting toward compliance-only completion.z
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CCC focus on c 3 ó2 " € T F
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qR , x € K R# 5irÆ r0 ©rŒ Úitems & r; r� rÇ 4 s é € Ð%RÑ@Q¸¨7§m¢mÓ@QùrÈ z\ has reduced in the recent six months; confirm this is intentional rather than a blind spot.z"Previously visible themes such as c 3 ó2 " € T F
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qR , x € K R# 5irÆ r0 rÎ s & r; r� rÇ 8 s é € Ð:kÑUjÈTÀ¿=º=ÓUjùrÈ z: are appearing less often in recorded activity narratives.z¶A relatively low share of CCCs contain clear follow-up or close-out signals, which weakens the evidence that issues identified in checks are being converted into learning and action.çš™™™™™Ù?z¶Rows with richer input depth are materially more likely to read as meaningful records, so populated-field depth can be used as a practical early warning metric for declining quality.z‡No dominant low-value pattern was detected across the full two-year window, but monthly quality should still be monitored for slippage.Ú window_startz%Y-%m-%dÚ
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window_endÚ
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window_monthsÚrequested_start_dateÚ monthly_mixÚ
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quarterly_mixÚmonthly_qualityÚquality_by_typeÚactivity_insightsÚinput_depth_by_typeÚ
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rising_themesÚdeclining_themesÚccc_rising_themesÚccc_declining_themesÚccc_recurring_modulesÚhigh_volume_low_valueÚbu_quality_snapshotsÚ seasonalityÚexecutive_summaryÚleadership_focusr. Ú
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proxy_notea Quality is inferred using practical proxies: richness and specificity of text, risk recognition, action/follow-up language, evidence of learning, input depth across useful fields, and penalties for generic or repeated wording. These scores indicate likely value, not definitive assurance.zÓThe deeper Safety Energy analysis uses a rolling two-year window ending on the latest Safety Energy record. Counts come from Safety_Energy.xlsx; LLC_Data is used separately elsewhere for richer LLC theme detail.Ú _quality_dfÚ _llc_windowr� rŽ )r rT éþÿÿÿéÿÿÿÿ)z�Use CCC quality, not just CCC count, as a leadership KPI. Track shallow-entry rate, follow-up rate, and repeated wording monthly.z«Review the highest-volume low-value Business Units with their leaders and sample the underlying records to confirm whether quality concerns are real or data-entry related.z™Push recurring CCC/OCC themes that show little improvement into board-level focus areas where repeated exposure is visible but learning evidence is weak.);rŸ r' r® rn Ú Timestampr rD Ú period_rangeÚminr¬ rk rl rm ÚreindexÚassignÚdtrT r( rž r r§ r! r, r Úisinr Úuniquerj rU r— rL r* rh r r r r‘ r“ ri r› r% r¹ rn Úilocrp r r– r| ro r¤ rT ÚlocÚnotnarÀ r rc r6 Ú most_commonr’ )Ar™ rš r› rœ r© rÒ Úrequested_startr° Ú
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all_monthsÚ all_quartersÚmonthly_countsÚquarterly_countsrØ rÚ Ú quality_rowsÚ bu_snapshotsÚlow_value_unitsÚdepth_insights_by_typeÚatyperx Ú
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