diff --git a/PiWindConditional/README.md b/PiWindConditional/README.md new file mode 100644 index 0000000..e7e6c3f --- /dev/null +++ b/PiWindConditional/README.md @@ -0,0 +1,68 @@ +# PiWindConditional — coverage-dependency toy model + +A minimal PiWind-style model that demonstrates gulmc **coverage dependency**: at each location +**Contents** (coverage type 3) is a *dependent* of **Building** (coverage type 1). The +contents' damage is driven by the building's sampled damage bin through a **conditional +(damage-transition) vulnerability**, rather than by an independent draw. + +## What makes it work + +- **Non-deterministic hazard.** `model_data/footprint` gives each event several intensity bins + with probabilities (see `scripts/generate.py`), so the building's sampled intensity — and + hence its damage — genuinely varies. (Vanilla PiWind has a deterministic footprint, where + coverage dependency has nothing to bite on.) +- **Building** uses a normal hazard-indexed vulnerability (`vulnerability.csv`, id 1). +- **Contents** uses a **conditional vulnerability** (`conditional_vulnerability.csv`, id 100): + a `P(contents damage bin | building damage bin)` transition matrix. Here contents track the + building one bin lower with some spread (contents slightly less vulnerable than the structure). +- **`meta_data/model_settings.json`** declares the link: + `coverage_dependency_settings: [{source_coverage_type: 1, dependent_coverage_type: 3}]`. +- The keys server returns Building and Contents at the **same areaperil**, which is what + activates the dependency per location. +- `num_damage_bins` (6) > `num_intensity_bins` (4) on purpose — the conditional matrix is sized + `num_damage_bins x num_damage_bins`, independent of the footprint's intensity resolution. + +## Run + +```bash +cd tests/test_1 +oasislmf model run --config oasislmf.json --model-run-dir /tmp/pwc_run +``` + +The gulmc log shows `coverage dependency: switched ON (2 dependent coverages)`. + +## Test cases + +- **`tests/test_1`** — the standard case: Building **insured** (TIV > 0) driving insured Contents, + GUL output only. +- **`tests/test_2`** — the **zero-TIV driver** case: Building **uninsured** (`BuildingTIV = 0`) + still driving insured Contents, with **IL output enabled**. An uninsured source is retained + purely to drive its dependent and flows as an ordinary zero-TIV, zero-loss coverage (no special + casing). This case exercises the IL/FM path end-to-end — the FM structure must be built with the + driver coverage present, so it is the regression guard for that scenario. + + ```bash + cd tests/test_2 + oasislmf model run --config oasislmf.json --model-run-dir /tmp/pwc_test2 + ``` + +## Observed behaviour (500 samples, per location) + +| coverage | mean damage fraction | +|---|---| +| Building (source) | ~0.45 | +| Contents (dependent) | ~0.40 | + +Per-sample `corr(building, contents) ≈ 0.96` — contents closely track the building's realised +damage, sitting a little lower per the conditional matrix. With the dependency removed, contents +would be an independent draw and this linkage would be far weaker. + +## Regenerate + +```bash +python scripts/generate.py +``` + +Rebuilds all `model_data` files, the keys/lookup config, `meta_data/model_settings.json` and the +`tests/test_1` exposure + settings. `tests/test_2` (the zero-TIV driver case) is hand-authored and +not touched by the script. diff --git a/PiWindConditional/keys_data/ModelVersion.csv b/PiWindConditional/keys_data/ModelVersion.csv new file mode 100644 index 0000000..71ddd4b --- /dev/null +++ b/PiWindConditional/keys_data/ModelVersion.csv @@ -0,0 +1 @@ +OasisLMF,PiWind,0.0.0.1 \ No newline at end of file diff --git a/PiWindConditional/keys_data/areaperil_dict.csv b/PiWindConditional/keys_data/areaperil_dict.csv new file mode 100644 index 0000000..f8ee456 --- /dev/null +++ b/PiWindConditional/keys_data/areaperil_dict.csv @@ -0,0 +1,401 @@ +PERIL_ID,COVERAGE_TYPE,LON1,LAT1,LON2,LAT2,LON3,LAT3,LON4,LAT4,AREA_PERIL_ID 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+WSS,1,-0.86305291,52.78859189,-0.86305291,52.7946584,-0.8569864,52.78859189,-0.8569864,52.7946584,200 +WSS,3,-0.86305291,52.78859189,-0.86305291,52.7946584,-0.8569864,52.78859189,-0.8569864,52.7946584,200 +WTC,1,-0.86305291,52.78859189,-0.86305291,52.7946584,-0.8569864,52.78859189,-0.8569864,52.7946584,100 +WTC,3,-0.86305291,52.78859189,-0.86305291,52.7946584,-0.8569864,52.78859189,-0.8569864,52.7946584,100 diff --git a/PiWindConditional/keys_data/areaperil_dict.parquet b/PiWindConditional/keys_data/areaperil_dict.parquet new file mode 100644 index 0000000..5c03f55 Binary files /dev/null and b/PiWindConditional/keys_data/areaperil_dict.parquet differ diff --git a/PiWindConditional/keys_data/lookup_config.json b/PiWindConditional/keys_data/lookup_config.json new file mode 100644 index 0000000..9815fee --- /dev/null +++ b/PiWindConditional/keys_data/lookup_config.json @@ -0,0 +1,17 @@ +{ + "model": {"supplier_id": "OasisLMF", "model_id": "PiWindConditional", "model_version": "0.0.0.1"}, + "builtin_lookup_type": "new_lookup", + "keys_data_path": "./", + "step_definition": { + "peril": {"type": "rtree", "columns": ["latitude", "longitude"], + "parameters": {"file_path": "%%KEYS_DATA_PATH%%/areaperil_dict.parquet", "file_type": "parquet", + "id_columns": ["area_peril_id"], "nearest_neighbor_min_distance": -1}}, + "split_loc_perils_covered": {"type": "split_loc_perils_covered", "columns": ["locperilscovered"], + "parameters": {"model_perils_covered": ["WTC"]}}, + "create_coverage_type": {"type": "simple_pivot", + "parameters": {"pivots": [{"new_cols": {"coverage_type": 1}}, {"new_cols": {"coverage_type": 3}}]}}, + "vulnerability": {"type": "merge", "columns": ["peril_id", "coverage_type", "occupancycode"], + "parameters": {"file_path": "%%KEYS_DATA_PATH%%/vulnerability_dict.csv", "id_columns": ["vulnerability_id"]}} + }, + "strategy": ["split_loc_perils_covered", "peril", "create_coverage_type", "vulnerability"] +} diff --git a/PiWindConditional/keys_data/vulnerability_dict.csv b/PiWindConditional/keys_data/vulnerability_dict.csv new file mode 100644 index 0000000..c2aa928 --- /dev/null +++ b/PiWindConditional/keys_data/vulnerability_dict.csv @@ -0,0 +1,3 @@ +PERIL_ID,COVERAGE_TYPE,OCCUPANCYCODE,VULNERABILITY_ID +WTC,1,1000,1 +WTC,3,1000,100 diff --git a/PiWindConditional/meta_data/model_settings.json b/PiWindConditional/meta_data/model_settings.json new file mode 100644 index 0000000..867fe8f --- /dev/null +++ b/PiWindConditional/meta_data/model_settings.json @@ -0,0 +1,14 @@ +{ + "model_settings": { + "event_set": {"name": "Event Set", "desc": "toy", "default": "p", + "options": [{"id": "p", "desc": "Probabilistic", "number_of_events": 10}]}, + "event_occurrence_id": {"name": "Occurrence Set", "desc": "toy", "default": "lt", + "options": [{"id": "lt", "desc": "Long Term"}]}, + "coverage_dependency_settings": [ + {"source_coverage_type": 1, "dependent_coverage_type": 3} + ] + }, + "lookup_settings": {"supported_perils": [{"id": "WTC", "desc": "Tropical Cyclone"}]}, + "data_settings": {"damage_group_fields": ["PortNumber", "AccNumber", "LocNumber"]}, + "model_default_samples": 100 +} diff --git a/PiWindConditional/model_data/conditional_vulnerability.csv b/PiWindConditional/model_data/conditional_vulnerability.csv new file mode 100644 index 0000000..3443097 --- /dev/null +++ b/PiWindConditional/model_data/conditional_vulnerability.csv @@ -0,0 +1,12 @@ +vulnerability_id,source_damage_bin,damage_bin,probability +100,1,1,1.0 +100,2,1,0.4 +100,2,2,0.6 +100,3,2,0.4 +100,3,3,0.6 +100,4,3,0.4 +100,4,4,0.6 +100,5,4,0.4 +100,5,5,0.6 +100,6,5,0.4 +100,6,6,0.6 diff --git a/PiWindConditional/model_data/damage_bin_dict.csv b/PiWindConditional/model_data/damage_bin_dict.csv new file mode 100644 index 0000000..ea870d6 --- /dev/null +++ b/PiWindConditional/model_data/damage_bin_dict.csv @@ -0,0 +1,7 @@ +bin_index,bin_from,bin_to,interpolation,damage_type +1,0.0,0.0,0.0,1 +2,0.0,0.2,0.1,1 +3,0.2,0.4,0.30000000000000004,1 +4,0.4,0.6,0.5,1 +5,0.6,0.8,0.7,1 +6,0.8,1.0,0.9,1 diff --git a/PiWindConditional/model_data/events_p.bin b/PiWindConditional/model_data/events_p.bin new file mode 100644 index 0000000..dd67d8d Binary files /dev/null and b/PiWindConditional/model_data/events_p.bin differ diff --git a/PiWindConditional/model_data/footprint.bin b/PiWindConditional/model_data/footprint.bin new file mode 100644 index 0000000..62e3630 Binary files /dev/null and b/PiWindConditional/model_data/footprint.bin differ diff --git a/PiWindConditional/model_data/footprint.idx b/PiWindConditional/model_data/footprint.idx new file mode 100644 index 0000000..cb85512 Binary files /dev/null and b/PiWindConditional/model_data/footprint.idx differ diff --git a/PiWindConditional/model_data/occurrence_lt.bin b/PiWindConditional/model_data/occurrence_lt.bin new file mode 100644 index 0000000..283af6d Binary files /dev/null and b/PiWindConditional/model_data/occurrence_lt.bin differ diff --git a/PiWindConditional/model_data/returnperiods.bin b/PiWindConditional/model_data/returnperiods.bin new file mode 100644 index 0000000..dc0a1cb Binary files /dev/null and b/PiWindConditional/model_data/returnperiods.bin differ diff --git a/PiWindConditional/model_data/vulnerability.csv b/PiWindConditional/model_data/vulnerability.csv new file mode 100644 index 0000000..2831256 --- /dev/null +++ b/PiWindConditional/model_data/vulnerability.csv @@ -0,0 +1,10 @@ +vulnerability_id,intensity_bin_id,damage_bin_id,probability +1,1,1,0.5 +1,1,2,0.5 +1,2,2,0.5 +1,2,3,0.5 +1,3,3,0.4 +1,3,4,0.4 +1,3,5,0.2 +1,4,5,0.5 +1,4,6,0.5 diff --git a/PiWindConditional/scripts/generate.py b/PiWindConditional/scripts/generate.py new file mode 100644 index 0000000..688c00f --- /dev/null +++ b/PiWindConditional/scripts/generate.py @@ -0,0 +1,187 @@ +"""Generate the PiWindConditional toy model. + +A minimal PiWind-style model demonstrating gulmc coverage dependency: Contents (coverage type +3) is a *dependent* of Building (coverage type 1) at the same location. The footprint has +genuine hazard uncertainty (several intensity bins per event), so the building's damage varies; +the contents' damage is then driven by the building's sampled damage bin through a conditional +(damage-transition) vulnerability. num_damage_bins (6) > num_intensity_bins (4) on purpose, to +exercise the correctly-sized conditional matrix. +""" +import os +import numpy as np + +from oasislmf.pytools.converters.csvtobin.manager import csvtobin + +HERE = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) +MD = os.path.join(HERE, 'model_data') +KD = os.path.join(HERE, 'keys_data') +META = os.path.join(HERE, 'meta_data') +T1 = os.path.join(HERE, 'tests', 'test_1') + +N_INTENSITY = 4 +N_DAMAGE = 6 + + +def w(path, text): + with open(path, 'w') as f: + f.write(text.strip() + '\n') + + +# --- damage_bin_dict: 6 relative bins over [0, 1] --------------------------------------- +# bin 1 is the no-damage bin; interpolation = bin midpoint; damage_type 1 = relative +dbd = ["bin_index,bin_from,bin_to,interpolation,damage_type", + "1,0.0,0.0,0.0,1"] +edges = [0.0, 0.2, 0.4, 0.6, 0.8, 1.0] +for i in range(1, N_DAMAGE): + lo, hi = edges[i - 1], edges[i] + dbd.append(f"{i + 1},{lo},{hi},{(lo + hi) / 2},1") +w(os.path.join(MD, 'damage_bin_dict.csv'), "\n".join(dbd)) + +# --- footprint: 1 areaperil (id 1), 10 events, hazard uncertainty (multi intensity bin) -- +# severity gradient from mild (low intensity bins) to severe (high). Each event's intensity +# probabilities sum to 1 -> the sampled intensity, and hence the building damage, is uncertain. +foot_events = [ + {1: 0.7, 2: 0.3}, + {1: 0.5, 2: 0.4, 3: 0.1}, + {1: 0.3, 2: 0.5, 3: 0.2}, + {2: 0.5, 3: 0.4, 4: 0.1}, + {2: 0.3, 3: 0.5, 4: 0.2}, + {2: 0.2, 3: 0.5, 4: 0.3}, + {3: 0.5, 4: 0.5}, + {3: 0.3, 4: 0.7}, + {2: 0.1, 3: 0.3, 4: 0.6}, + {4: 1.0}, +] +fp = ["event_id,areaperil_id,intensity_bin_id,probability"] +for e, dist in enumerate(foot_events, start=1): + for ibin, prob in dist.items(): + fp.append(f"{e},1,{ibin},{prob}") +_fp_csv = os.path.join(MD, '_footprint.csv') +w(_fp_csv, "\n".join(fp)) +# the CSV footprint reader is unreliable, so convert to footprint.bin + footprint.idx +csvtobin(_fp_csv, os.path.join(MD, 'footprint.bin'), 'footprint', + idx_file_out=os.path.join(MD, 'footprint.idx'), zip_files=False, + max_intensity_bin_idx=N_INTENSITY, no_intensity_uncertainty=False, + decompressed_size=0, no_validation=False) +os.remove(_fp_csv) + +# --- building vulnerability (vuln 1): hazard-indexed, intensity -> damage distribution --- +bld = { + 1: {1: 0.5, 2: 0.5}, # mild intensity -> low damage + 2: {2: 0.5, 3: 0.5}, + 3: {3: 0.4, 4: 0.4, 5: 0.2}, + 4: {5: 0.5, 6: 0.5}, # severe intensity -> high damage +} +vln = ["vulnerability_id,intensity_bin_id,damage_bin_id,probability"] +for ibin in range(1, N_INTENSITY + 1): + for dbin, prob in bld[ibin].items(): + vln.append(f"1,{ibin},{dbin},{prob}") +w(os.path.join(MD, 'vulnerability.csv'), "\n".join(vln)) + +# --- contents conditional vulnerability (vuln 100): P(contents bin | building bin) ------- +# contents track the building's damage, one bin lower with some spread (contents a bit less +# vulnerable than the structure). intensity_bin_id column carries the SOURCE (building) bin. +cond = ["vulnerability_id,source_damage_bin,damage_bin,probability", "100,1,1,1.0"] +for src in range(2, N_DAMAGE + 1): + cond.append(f"100,{src},{src - 1},0.4") + cond.append(f"100,{src},{src},0.6") +w(os.path.join(MD, 'conditional_vulnerability.csv'), "\n".join(cond)) + +# --- events / occurrence / return periods ------------------------------------------------ +n_events = len(foot_events) +n_periods = 20 +np.arange(1, n_events + 1, dtype='i4').tofile(os.path.join(MD, 'events_p.bin')) + +occ = ["event_id,period_no,occ_date_id"] +for e in range(1, n_events + 1): + occ.append(f"{e},{2 * e},1") # spread events across periods, one occurrence each +w(os.path.join(T1, '_occurrence.csv'), "\n".join(occ)) +csvtobin(os.path.join(T1, '_occurrence.csv'), os.path.join(MD, 'occurrence_lt.bin'), + 'occurrence', no_of_periods=n_periods, no_date_alg=True) + +w(os.path.join(T1, '_rp.csv'), "return_period\n20\n10\n5\n2") +csvtobin(os.path.join(T1, '_rp.csv'), os.path.join(MD, 'returnperiods.bin'), 'returnperiods') + +# --- lookup config + vulnerability dict (WTC only; building->1, contents->100) ----------- +w(os.path.join(KD, 'lookup_config.json'), """ +{ + "model": {"supplier_id": "OasisLMF", "model_id": "PiWindConditional", "model_version": "0.0.0.1"}, + "builtin_lookup_type": "new_lookup", + "keys_data_path": "./", + "step_definition": { + "peril": {"type": "rtree", "columns": ["latitude", "longitude"], + "parameters": {"file_path": "%%KEYS_DATA_PATH%%/areaperil_dict.parquet", "file_type": "parquet", + "id_columns": ["area_peril_id"], "nearest_neighbor_min_distance": -1}}, + "split_loc_perils_covered": {"type": "split_loc_perils_covered", "columns": ["locperilscovered"], + "parameters": {"model_perils_covered": ["WTC"]}}, + "create_coverage_type": {"type": "simple_pivot", + "parameters": {"pivots": [{"new_cols": {"coverage_type": 1}}, {"new_cols": {"coverage_type": 3}}]}}, + "vulnerability": {"type": "merge", "columns": ["peril_id", "coverage_type", "occupancycode"], + "parameters": {"file_path": "%%KEYS_DATA_PATH%%/vulnerability_dict.csv", "id_columns": ["vulnerability_id"]}} + }, + "strategy": ["split_loc_perils_covered", "peril", "create_coverage_type", "vulnerability"] +} +""") +w(os.path.join(KD, 'vulnerability_dict.csv'), + "PERIL_ID,COVERAGE_TYPE,OCCUPANCYCODE,VULNERABILITY_ID\nWTC,1,1000,1\nWTC,3,1000,100") + +# --- model settings: declare the coverage dependency (building -> contents) -------------- +w(os.path.join(META, 'model_settings.json'), """ +{ + "model_settings": { + "event_set": {"name": "Event Set", "desc": "toy", "default": "p", + "options": [{"id": "p", "desc": "Probabilistic", "number_of_events": %d}]}, + "event_occurrence_id": {"name": "Occurrence Set", "desc": "toy", "default": "lt", + "options": [{"id": "lt", "desc": "Long Term"}]}, + "coverage_dependency_settings": [ + {"source_coverage_type": 1, "dependent_coverage_type": 3} + ] + }, + "lookup_settings": {"supported_perils": [{"id": "WTC", "desc": "Tropical Cyclone"}]}, + "data_settings": {"damage_group_fields": ["PortNumber", "AccNumber", "LocNumber"]}, + "model_default_samples": 100 +} +""" % n_events) + +# --- exposure: two locations inside the WTC areaperil box, building + contents insured ---- +loc = ["PortNumber,AccNumber,LocNumber,CountryCode,LocCurrency,Latitude,Longitude," + "LocPerilsCovered,BuildingTIV,ContentsTIV,OccupancyCode"] +loc.append("1,A,1,GB,GBP,52.737,-0.9146,WTC,1000000,500000,1000") +loc.append("1,A,2,GB,GBP,52.738,-0.9150,WTC,800000,400000,1000") +w(os.path.join(T1, 'SourceLocOEDPiWindConditional.csv'), "\n".join(loc)) +w(os.path.join(T1, 'SourceAccOEDPiWindConditional.csv'), + "PortNumber,AccNumber,PolNumber,AccCurrency,PolPerilsCovered,PolDed6All,PolLimit6All\n" + "1,A,P1,GBP,WTC,0,0") + +w(os.path.join(T1, 'oasislmf.json'), """ +{ + "analysis_settings_json": "analysis_settings.json", + "lookup_config_json": "../../keys_data/lookup_config.json", + "lookup_data_dir": "../../keys_data", + "model_data_dir": "../../model_data", + "model_settings_json": "../../meta_data/model_settings.json", + "oed_location_csv": "SourceLocOEDPiWindConditional.csv", + "oed_accounts_csv": "SourceAccOEDPiWindConditional.csv" +} +""") + +w(os.path.join(T1, 'analysis_settings.json'), """ +{ + "analysis_tag": "conditional_toy", + "source_tag": "MDK", + "model_name_id": "PiWindConditional", + "model_supplier_id": "OasisLMF", + "gul_output": true, + "gul_threshold": 0, + "number_of_samples": 500, + "model_settings": {"event_set": "p", "event_occurrence_id": "lt"}, + "gul_summaries": [ + {"id": 1, "ord_output": {"elt_sample": true, + "ept_full_uncertainty_aep": true, "ept_full_uncertainty_oep": true, "parquet_format": false}} + ] +} +""") + +for tmp in ('_occurrence.csv', '_rp.csv'): + os.remove(os.path.join(T1, tmp)) +print("generated PiWindConditional toy model") diff --git a/PiWindConditional/tests/test_1/SourceAccOEDPiWindConditional.csv b/PiWindConditional/tests/test_1/SourceAccOEDPiWindConditional.csv new file mode 100644 index 0000000..6e367dd --- /dev/null +++ b/PiWindConditional/tests/test_1/SourceAccOEDPiWindConditional.csv @@ -0,0 +1,2 @@ +PortNumber,AccNumber,PolNumber,AccCurrency,PolPerilsCovered,PolDed6All,PolLimit6All +1,A,P1,GBP,WTC,0,0 diff --git a/PiWindConditional/tests/test_1/SourceLocOEDPiWindConditional.csv b/PiWindConditional/tests/test_1/SourceLocOEDPiWindConditional.csv new file mode 100644 index 0000000..d659f0c --- /dev/null +++ b/PiWindConditional/tests/test_1/SourceLocOEDPiWindConditional.csv @@ -0,0 +1,3 @@ +PortNumber,AccNumber,LocNumber,CountryCode,LocCurrency,Latitude,Longitude,LocPerilsCovered,BuildingTIV,ContentsTIV,OccupancyCode +1,A,1,GB,GBP,52.737,-0.9146,WTC,1000000,500000,1000 +1,A,2,GB,GBP,52.738,-0.9150,WTC,800000,400000,1000 diff --git a/PiWindConditional/tests/test_1/analysis_settings.json b/PiWindConditional/tests/test_1/analysis_settings.json new file mode 100644 index 0000000..e961259 --- /dev/null +++ b/PiWindConditional/tests/test_1/analysis_settings.json @@ -0,0 +1,14 @@ +{ + "analysis_tag": "conditional_toy", + "source_tag": "MDK", + "model_name_id": "PiWindConditional", + "model_supplier_id": "OasisLMF", + "gul_output": true, + "gul_threshold": 0, + "number_of_samples": 500, + "model_settings": {"event_set": "p", "event_occurrence_id": "lt"}, + "gul_summaries": [ + {"id": 1, "ord_output": {"elt_sample": true, + "ept_full_uncertainty_aep": true, "ept_full_uncertainty_oep": true, "parquet_format": false}} + ] +} diff --git a/PiWindConditional/tests/test_1/expected_results/output/analysis_settings.json b/PiWindConditional/tests/test_1/expected_results/output/analysis_settings.json new file mode 100644 index 0000000..1a34044 --- /dev/null +++ b/PiWindConditional/tests/test_1/expected_results/output/analysis_settings.json @@ -0,0 +1,50 @@ +{ + "analysis_tag": "conditional_toy", + "source_tag": "MDK", + "model_name_id": "PiWindConditional", + "model_supplier_id": "OasisLMF", + "gul_output": true, + "gul_threshold": 0, + "number_of_samples": 500, + "model_settings": { + "event_set": "p", + "event_occurrence_id": "lt", + "coverage_dependency_settings": [ + { + "source_coverage_type": 1, + "dependent_coverage_type": 3 + } + ] + }, + "gul_summaries": [ + { + "id": 1, + "ord_output": { + "elt_sample": true, + "ept_full_uncertainty_aep": true, + "ept_full_uncertainty_oep": true, + "parquet_format": false + } + } + ], + "lookup_settings": { + "supported_perils": [ + { + "id": "WTC", + "desc": "Tropical Cyclone" + } + ] + }, + "data_settings": { + "damage_group_fields": [ + "PortNumber", + "AccNumber", + "LocNumber" + ] + }, + "model_default_samples": 100, + "ri_output": false, + "ri_summaries": [], + "rl_output": false, + "rl_summaries": [] +} \ No newline at end of file diff --git a/PiWindConditional/tests/test_1/expected_results/output/gul_S1_ept.csv b/PiWindConditional/tests/test_1/expected_results/output/gul_S1_ept.csv new file mode 100644 index 0000000..6133eb0 --- /dev/null +++ b/PiWindConditional/tests/test_1/expected_results/output/gul_S1_ept.csv @@ -0,0 +1,19573 @@ +SummaryId,EPCalc,EPType,ReturnPeriod,Loss 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a/PiWindConditional/tests/test_1/oasislmf.json b/PiWindConditional/tests/test_1/oasislmf.json new file mode 100644 index 0000000..3d23a60 --- /dev/null +++ b/PiWindConditional/tests/test_1/oasislmf.json @@ -0,0 +1,9 @@ +{ + "analysis_settings_json": "analysis_settings.json", + "lookup_config_json": "../../keys_data/lookup_config.json", + "lookup_data_dir": "../../keys_data", + "model_data_dir": "../../model_data", + "model_settings_json": "../../meta_data/model_settings.json", + "oed_location_csv": "SourceLocOEDPiWindConditional.csv", + "oed_accounts_csv": "SourceAccOEDPiWindConditional.csv" +} diff --git a/PiWindConditional/tests/test_2/SourceAccOEDPiWindConditional.csv b/PiWindConditional/tests/test_2/SourceAccOEDPiWindConditional.csv new file mode 100644 index 0000000..6e367dd --- /dev/null +++ b/PiWindConditional/tests/test_2/SourceAccOEDPiWindConditional.csv @@ -0,0 +1,2 @@ +PortNumber,AccNumber,PolNumber,AccCurrency,PolPerilsCovered,PolDed6All,PolLimit6All +1,A,P1,GBP,WTC,0,0 diff --git a/PiWindConditional/tests/test_2/SourceLocOEDPiWindConditional.csv b/PiWindConditional/tests/test_2/SourceLocOEDPiWindConditional.csv new file mode 100644 index 0000000..234cfe7 --- /dev/null +++ b/PiWindConditional/tests/test_2/SourceLocOEDPiWindConditional.csv @@ -0,0 +1,3 @@ +PortNumber,AccNumber,LocNumber,CountryCode,LocCurrency,Latitude,Longitude,LocPerilsCovered,BuildingTIV,ContentsTIV,OccupancyCode +1,A,1,GB,GBP,52.737,-0.9146,WTC,0,500000,1000 +1,A,2,GB,GBP,52.738,-0.9150,WTC,0,400000,1000 diff --git a/PiWindConditional/tests/test_2/analysis_settings.json b/PiWindConditional/tests/test_2/analysis_settings.json new file mode 100644 index 0000000..3c6ee8e --- /dev/null +++ b/PiWindConditional/tests/test_2/analysis_settings.json @@ -0,0 +1,19 @@ +{ + "analysis_tag": "conditional_zero_tiv_driver", + "source_tag": "MDK", + "model_name_id": "PiWindConditional", + "model_supplier_id": "OasisLMF", + "gul_output": true, + "il_output": true, + "gul_threshold": 0, + "number_of_samples": 500, + "model_settings": {"event_set": "p", "event_occurrence_id": "lt"}, + "gul_summaries": [ + {"id": 1, "ord_output": {"elt_sample": true, + "ept_full_uncertainty_aep": true, "ept_full_uncertainty_oep": true, "parquet_format": false}} + ], + "il_summaries": [ + {"id": 1, "ord_output": {"elt_sample": true, + "ept_full_uncertainty_aep": true, "ept_full_uncertainty_oep": true, "parquet_format": false}} + ] +} diff --git a/PiWindConditional/tests/test_2/expected_results/output/analysis_settings.json b/PiWindConditional/tests/test_2/expected_results/output/analysis_settings.json new file mode 100644 index 0000000..632c2b2 --- /dev/null +++ b/PiWindConditional/tests/test_2/expected_results/output/analysis_settings.json @@ -0,0 +1,62 @@ +{ + "analysis_tag": "conditional_zero_tiv_driver", + "source_tag": "MDK", + "model_name_id": "PiWindConditional", + "model_supplier_id": "OasisLMF", + "gul_output": true, + "il_output": true, + "gul_threshold": 0, + "number_of_samples": 500, + "model_settings": { + "event_set": "p", + "event_occurrence_id": "lt", + "coverage_dependency_settings": [ + { + "source_coverage_type": 1, + "dependent_coverage_type": 3 + } + ] + }, + "gul_summaries": [ + { + "id": 1, + "ord_output": { + "elt_sample": true, + "ept_full_uncertainty_aep": true, + "ept_full_uncertainty_oep": true, + "parquet_format": false + } + } + ], + "il_summaries": [ + { + "id": 1, + "ord_output": { + "elt_sample": true, + "ept_full_uncertainty_aep": true, + "ept_full_uncertainty_oep": true, + "parquet_format": false + } + } + ], + "lookup_settings": { + "supported_perils": [ + { + "id": "WTC", + "desc": "Tropical Cyclone" + } + ] + }, + "data_settings": { + "damage_group_fields": [ + "PortNumber", + "AccNumber", + "LocNumber" + ] + }, + "model_default_samples": 100, + "ri_output": false, + "ri_summaries": [], + "rl_output": false, + "rl_summaries": [] +} \ No newline at end of file diff --git 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+ "analysis_settings_json": "analysis_settings.json", + "lookup_config_json": "../../keys_data/lookup_config.json", + "lookup_data_dir": "../../keys_data", + "model_settings_json": "../../meta_data/model_settings.json", + "model_data_dir": "../../model_data", + "oed_location_csv": "SourceLocOEDPiWindConditional.csv", + "oed_accounts_csv": "SourceAccOEDPiWindConditional.csv" +}