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refactor string location for Ash Report
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,149 @@ | ||
| # coding=utf-8 | ||
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| from PyQt4.QtCore import QObject | ||
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| __author__ = 'Rizky Maulana Nugraha <lana.pcfre@gmail.com>' | ||
| __date__ = '2/11/2017' | ||
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| class ReportText(QObject): | ||
| """Placeholder class for texts in the report.""" | ||
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| def __init__(self): | ||
| QObject.__init__(self) | ||
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| def qpt_token( | ||
| self, | ||
| volcano_name=None, timestamp_string=None, region=None, | ||
| alert_level=None, longitude_string=None, latitude_string=None, | ||
| eruption_height=None, elapsed_hour=None, elapsed_minute=None, | ||
| version=None): | ||
| """Token string for QPT template""" | ||
| event = { | ||
| 'report-title': self.tr('Volcanic Ash Impact'), | ||
| 'report-timestamp': self.tr('Volcano: %s, %s') % ( | ||
| volcano_name, | ||
| timestamp_string), | ||
| 'report-province': self.tr('Province: %s') % (region,), | ||
| 'report-alert-level': self.tr('Alert Level: %s') % ( | ||
| alert_level.capitalize(),), | ||
| 'report-location': self.tr( | ||
| 'Position: %s, %s;' | ||
| ' Eruption Column Height (a.s.l) - %d m') % ( | ||
| longitude_string, | ||
| latitude_string, | ||
| eruption_height), | ||
| 'report-elapsed': self.tr( | ||
| 'Elapsed time since event: %s hour(s) and %s minute(s)') % ( | ||
| elapsed_hour, elapsed_minute), | ||
| 'header-impact-table': self.tr( | ||
| 'Potential impact at each fallout level'), | ||
| 'header-nearby-table': self.tr('Nearby places'), | ||
| 'header-landcover-table': self.tr('Land Cover Impact'), | ||
| 'content-disclaimer': self.tr( | ||
| 'The impact estimation is automatically generated and only ' | ||
| 'takes into account the population, cities and land cover ' | ||
| 'affected by different levels of volcanic ash fallout at ' | ||
| 'surface level. The estimate is based on volcanic ash ' | ||
| 'fallout data from Badan Geologi, population count data ' | ||
| 'derived by DMInnovation from worldpop.org.uk, place ' | ||
| 'information and land cover classification data provided by ' | ||
| 'Indonesian Geospatial Portal at http://portal.ina-sdi.or.id ' | ||
| 'and software developed by BNPB. Limitation in the estimates ' | ||
| 'of surface fallout, population and place names datasets may ' | ||
| 'result in a significant misrepresentation of the ' | ||
| 'on-the-surface situation in the figures shown here. ' | ||
| 'Consequently, decisions should not be made solely on the ' | ||
| 'information presented here and should always be verified ' | ||
| 'by ground truthing and other reliable information sources.' | ||
| ), | ||
| 'content-notes': self.tr( | ||
| 'This report was created using InaSAFE version %s. Visit ' | ||
| 'http://inasafe.org for more information. ') % version, | ||
| 'content-support': self.tr( | ||
| 'Supported by DMInnovation, Geoscience Australia and the World Bank-GFDRR') | ||
| } | ||
| return event | ||
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| def population_table_token(self): | ||
| table_header = [ | ||
| { | ||
| 'header': self.tr('Fallout Level') | ||
| }, | ||
| { | ||
| 'header': self.tr('Very Low'), | ||
| 'class': 'lv1' | ||
| }, | ||
| { | ||
| 'header': self.tr('Low'), | ||
| 'class': 'lv2' | ||
| }, | ||
| { | ||
| 'header': self.tr('Moderate'), | ||
| 'class': 'lv3' | ||
| }, | ||
| { | ||
| 'header': self.tr('High'), | ||
| 'class': 'lv4' | ||
| }, | ||
| { | ||
| 'header': self.tr('Very High'), | ||
| 'class': 'lv5' | ||
| }, | ||
| ] | ||
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| potential_impact_header = [ | ||
| self.tr('Potential Impact'), | ||
| self.tr('Impact on health (respiration), livestock, and contamination of water supply.'), | ||
| self.tr('Damage to transportation routes (e.g. airports, roads, railways); damage to critical infrastructure (e.g. electricity supply); damage to more vulnerable agricultural crops (e.g. rice fields)'), | ||
| self.tr('Damage to less vulnerable agricultural crops (e.g. tea plantations) and destruction of more vulnerable crops; destruction of critical infrastructure; cosmetic (non-structural) damage to buildings'), | ||
| self.tr('Dry loading on buildings causing structural damage but not collapse; Wet loading on buildings (i.e. ash loading + heavy rainfall) causing structural collapse.'), | ||
| self.tr('Dry loading on buildings causing structural collapse.') | ||
| ] | ||
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| context = { | ||
| 'table_header': table_header, | ||
| 'affected_header': self.tr('Estimated People Affected'), | ||
| 'potential_impact_header': potential_impact_header, | ||
| 'ash_thickness_header': self.tr('Ash Thickness Range (cm)') | ||
| } | ||
| return context | ||
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| def landcover_table_token(self, landcover_list=None): | ||
| # Landcover type localization for dynamic translations: | ||
| # noqa | ||
| landcover_types = [ | ||
| self.tr('Forest'), | ||
| self.tr('Plantation'), | ||
| self.tr('Water Supply'), | ||
| self.tr('Settlement'), | ||
| self.tr('Rice Field') | ||
| ] | ||
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| context = { | ||
| 'landcover_list': landcover_list, | ||
| 'landcover_type_header': self.tr('Land Cover Type'), | ||
| 'landcover_area_header': self.tr('Area affected (km<sup>2</sup>)'), | ||
| 'empty_rows': self.tr('No area affected') | ||
| } | ||
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| return context | ||
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| def hazard_label_token(self): | ||
| return { | ||
| 0: self.tr('Very Low'), | ||
| 1: self.tr('Low'), | ||
| 2: self.tr('Moderate'), | ||
| 3: self.tr('High'), | ||
| 4: self.tr('Very High') | ||
| } | ||
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| def nearby_table_token(self, item_list=None): | ||
| return { | ||
| 'item_list': item_list, | ||
| 'name_header': self.tr('Name'), | ||
| 'affected_header': self.tr('People / Airport affected'), | ||
| 'fallout_header': self.tr('Fallout Level'), | ||
| 'empty_rows': self.tr('No nearby cities or airport affected') | ||
| } | ||
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