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# -*- coding: utf-8 -*- |
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from bika.lims import api |
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from bika.lims.interfaces import IDynamicResultsRange |
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from zope.interface import implementer |
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marker = object() |
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DEFAULT_RANGE_KEYS = [ |
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"min", |
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"warn_min", |
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"min_operator", |
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"minpanic", |
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"max", |
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"warn_max", |
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"max", |
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"maxpanic", |
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"error", |
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] |
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@implementer(IDynamicResultsRange) |
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class DynamicResultsRange(object): |
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"""Default Dynamic Results Range Adapter |
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""" |
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def __init__(self, analysis): |
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self.analysis = analysis |
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self.analysisrequest = analysis.getRequest() |
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self.specification = self.analysisrequest.getSpecification() |
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self.dynamicspec = None |
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if self.specification: |
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self.dynamicspec = self.specification.getDynamicAnalysisSpec() |
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@property |
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def keyword(self): |
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"""Analysis Keyword |
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""" |
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return self.analysis.getKeyword() |
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@property |
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def range_keys(self): |
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"""The keys of the result range dict |
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""" |
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if not self.specification: |
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return DEFAULT_RANGE_KEYS |
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# return the subfields of the specification |
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return self.specification.getField("ResultsRange").subfields |
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def convert(self, value): |
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# convert referenced UIDs to the Title |
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if api.is_uid(value): |
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obj = api.get_object_by_uid(value) |
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return api.get_title(obj) |
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return value |
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def get_match_data(self): |
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"""Returns a fieldname -> value mapping of context data |
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The fieldnames are selected from the column names of the dynamic |
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specifications file. E.g. the column "Method" of teh specifications |
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file will lookup the value (title) of the Analysis and added to the |
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mapping like this: `{"Method": "Method-1"}`. |
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:returns: fieldname -> value mapping |
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:rtype: dict |
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""" |
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data = {} |
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# Lookup the column names on the Analysis and the Analysis Request |
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for column in self.dynamicspec.get_header(): |
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an_value = getattr(self.analysis, column, marker) |
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ar_value = getattr(self.analysisrequest, column, marker) |
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if an_value is not marker: |
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data[column] = self.convert(an_value) |
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elif ar_value is not marker: |
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data[column] = self.convert(ar_value) |
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return data |
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def get_results_range(self): |
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"""Return the dynamic results range |
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The returning dicitionary should containe at least the `min` and `max` |
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values to override the ResultsRangeDict data. |
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:returns: An `IResultsRangeDict` compatible dict |
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:rtype: dict |
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""" |
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if self.dynamicspec is None: |
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return {} |
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# A matching Analysis Keyword is mandatory for any further matches |
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keyword = self.analysis.getKeyword() |
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by_keyword = self.dynamicspec.get_by_keyword() |
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# Get all specs (rows) from the Excel with the same Keyword |
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specs = by_keyword.get(keyword) |
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if not specs: |
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return {} |
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# Generate a match data object, which match both the column names and |
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# the field names of the Analysis. |
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match_data = self.get_match_data() |
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rr = {} |
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# Iterate over the rows and return the first where **all** values match |
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# with the analysis' values |
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for spec in specs: |
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skip = False |
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for k, v in match_data.items(): |
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# break if the values do not match |
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if v != spec[k]: |
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skip = True |
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break |
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# skip the whole specification row |
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if skip: |
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continue |
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# at this point we have a match, update the results range dict |
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for key in self.range_keys: |
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value = spec.get(key, marker) |
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# skip if the range key is not set in the Excel |
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if value is marker: |
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continue |
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# skip if the value is not floatable |
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if not api.is_floatable(value): |
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continue |
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# set the range value |
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rr[key] = value |
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# return the updated result range |
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return rr |
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return rr |
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def __call__(self): |
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return self.get_results_range() |
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senaite /
senaite.core
