How to use _process_group_dict method in autotest

Best Python code snippet using autotest_python

plot.py

Source:plot.py

...105        Fill out the plot in some way - different implementation for each subclass106        """107        raise NotImplementedError108    @abstractmethod109    def _process_group_dict(self,d:Dict)->Any:110        """111        Take a DB output dict and make a pair: <SOMETHING>,(group ID, group label)112        """113        return d114    @property115    @abstractmethod116    def kw(self) -> Set[str]:117        '''List of valid keyword arguments'''118        return {'query','title','xlab','frame','square',119                'xcols','xfunc','lcols','lfunc','gcols','gfunc'}120    #------------------------#121    # Static / Class methods #122    #------------------------#123    @staticmethod124    def pltdict()->Dict[str,Type['Plot']]:125        '''Mapping each type of plot to a unique string'''126        d = {'line':LinePlot,'bar':BarPlot,'hist':HistPlot} # type: Dict[str,Type['Plot']]127        return d128    @staticmethod129    def _make_groups(inputs : List[Dict[str,Any]],130                     gFunc  : FnArgs,131                     glFunc : FnArgs132                    ) -> List[Group]:133        """134        Take a list of processed DB outputs and sort into groups135        The groups will become different lines/bars on the final plot136        """137        groups = {} # type: Dict[Any,Group]138        counter = 0139        for x in inputs:140            g = gFunc(x)141            if g in groups:142                groups[g].add_elem(x)143            else:144                gl = glFunc(x)145                groups[g] = Group(id=counter,label=gl,rep=g,elems=[x])146                counter+=1147        return list(groups.values())148    @classmethod149    def from_file(cls,pth:str)->'Plot':150        '''Creates a Line/Bar/Hist plot from a JSON file containing KW args'''151        # Parse JSON file152        with open(pth,'r') as f:153            dic = load(f)154        # Determine which __init__ method should be used155        typ     = dic.pop('type').lower()156        plotter = cls.pltdict()[typ]157        # Create Plot object158        return plotter(**dic)159    #------------#160    # Properties #161    #------------#162    @property163    def _has_leg(self)->bool:164        return bool(self['gcols'])165    @property166    def opacity(self) -> float:167        return max(0.1,1-len(self.groups)/10)168    #-------------------#169    # Support functions #170    #-------------------#171    def _groups(self, conn : Conn, binds : list = [], funcs : Dict[str,C] = {}) -> None:172        """173        Populates: self.groups174        """175        self._init(funcs)176        assert self['query']177        results = conn.select_dict(self['query'], binds)178        self.groups = self._make_groups(results, self.gFunc, self.glFunc)179    def _data(self) -> list:180        ''' This seems to be a general enough implementation'''181        # for g in self.groups:182        return [self._draw(g.map(self._process_group_dict)) for g in self.groups]183################################################################################184class LinePlot(Plot):185    """186    Scatter or line plot - a relation between two numeric variables187    """188    def _init(self, funcs : Dict[str,C])->None:189        super()._init(funcs)190        assert 'ycols' in self, 'LinePlot requires ycols to be specified'191        # Y func, handle defaults192        if not 'yfunc' in self:193            if isinstance(self['ycols'],str):194                ycols = self['ycols'].split()195            else:196                ycols = self['ycols']197            assert len(ycols) == 1198            self['yfunc'] = identity199        self.yFunc = FnArgs(func = self['yfunc'], args = self['ycols'], funcs = funcs)200    def csv(self, pth : str) -> None:201        '''Write plot data to a csv'''202        raise NotImplementedError203    @property204    def kw(self)->Set[str]:205        return super().kw | {'ylab','ycols','yfunc','scatter'}206    def _draw(self, g : Group) -> dict:207        """process query results, then draw the lines"""208        # do aggregations, postprocessing to modify 'g', eventually209        g.sort(key=lambda x: x['x'])210        return self._add_line(g)211    def _process_group_dict(self, d : dict) -> dict:212        """213        Take a raw dictionary output from DB and make a new dictionary with:214            x,y (floats) and l (label)215        """216        return dict(x = self.xFunc(d),217                    y = self.yFunc(d),218                    l = self.lFunc(d))219    def _add_line(self, g : Group) -> dict:220        """221        Draw a line from a Group with (X,Y,LABEL) tuples as elements222        """223        leg, xyl = g.label, g.elems224        sty  = mkStyle(leg)    # get line style based on legend name225        scatr= self['scatter'] and self['scatter'][0].lower()=='t'226        mode = 'markers' if scatr else 'lines+markers'227        return dict(x       = g['x'],228                    y       = g['y'],229                    text    = g['l'],230                    mode    = mode,231                    name    = g.label,232                    marker  = dict(opacity = self.opacity,233                                   color   = sty.color),234                    line    = dict(color   = sty.color,235                                   dash    = sty.line,236                                   shape   = 'spline'))237    def _layout(self)->dict:238        return super()._layout()239################################################################################240class BarPlot(Plot):241    """242    Bar plots - relation between a real-valued variable and a categorical one243    """244    def _init(self, funcs : Dict[str,C])->None:245        super()._init(funcs)246        # SubGrouping of data points247        if 'spcols' not in self:248            # no way to subgroup if no columns provided249            self.spFunc = FnArgs(func = const(1), args = [], funcs = funcs)250            self.slFunc = FnArgs(func = const('') ,args = [], funcs = funcs)251        else:252            gcols = self['spcols']253            if 'gfunc' not in self:254                self.spFunc = FnArgs(func = joiner, args = gcols, funcs = funcs)255            else:256                self.spFunc = FnArgs(func = self['gfunc'], args = gcols, funcs = funcs)257            glcols = self['slcols' if 'slcols' in self else 'spcols']258            if 'slfunc' not in self:259                self.slFunc = FnArgs(func = joiner, args = glcols, funcs = funcs)260            else:261                self.slFunc = FnArgs(func = self['slfunc'], args = glcols, funcs = funcs)262        self.aggFunc = avg # tell typechecker that this is the real type263        if self['aggfunc']:264            self.aggFunc = mkFunc(self['aggfunc'],funcs)  # type: ignore265        self.seen = set() # type: set ### used to avoid plotting the same legend entries multiple times266    def csv(self, pth : str) -> None:267        '''Write plot data to a csv'''268        raise NotImplementedError269    def _process_group_dict(self, d : dict)->dict:270        return d # do nothing271    def _process_subgroup_dict(self,d:dict)->dict:272        return dict(val = self.xFunc(d), l = self.lFunc(d))273    def _draw(self, g : Group) -> dict:274        color = mkStyle(g.rep).color275        subgroups_ = self._make_groups(g.elems,self.spFunc,self.slFunc)276        subgroups  = [sg.map(self._process_subgroup_dict) for sg in subgroups_]277        vals = [self.aggFunc(sg['val']) for sg in subgroups]278        color = mkStyle(g.rep).color279        return dict(type = 'bar',280                    name = g.label,281                    x    = [sg.label for sg in subgroups],282                    y    = vals,283                    )#marker = dict(color=color))...

tko_rpc_utils.py

Source:tko_rpc_utils.py

...106                return rpc_utils.NULL_DATE107            if field.endswith('_time'):108                return rpc_utils.NULL_DATETIME109        return value110    def _process_group_dict(self, group_dict):111        # compute and aggregate header groups112        for i, group in enumerate(self._header_groups):113            header = tuple(self._get_field(group_dict, field)114                           for field in group)115            self._header_value_sets[i].add(header)116            group_dict.setdefault('header_values', []).append(header)117        # frontend's SelectionManager needs a unique ID118        group_values = [group_dict[field] for field in self._group_by]119        group_dict['id'] = str(group_values)120        return group_dict121    def _find_header_value_set(self, field):122        for i, group in enumerate(self._header_groups):123            if [field] == group:124                return self._header_value_sets[i]125        raise RuntimeError('Field %s not found in header groups %s' %126                           (field, self._header_groups))127    def _add_fixed_headers(self):128        for field, extra_values in self._fixed_headers.iteritems():129            header_value_set = self._find_header_value_set(field)130            for value in extra_values:131                header_value_set.add((value,))132    def _get_sorted_header_values(self):133        self._add_fixed_headers()134        sorted_header_values = [sorted(value_set)135                                for value_set in self._header_value_sets]136        # construct dicts mapping headers to their indices, for use in137        # replace_headers_with_indices()138        self._header_index_maps = []139        for value_list in sorted_header_values:140            index_map = dict((value, i) for i, value in enumerate(value_list))141            self._header_index_maps.append(index_map)142        return sorted_header_values143    def _replace_headers_with_indices(self, group_dict):144        group_dict['header_indices'] = [index_map[header_value]145                                        for index_map, header_value146                                        in zip(self._header_index_maps,147                                               group_dict['header_values'])]148        for field in self._group_by + ['header_values']:149            del group_dict[field]150    def process_group_dicts(self):151        self._fetch_data()152        if len(self._group_dicts) > self._MAX_GROUP_RESULTS:153            raise TooManyRowsError(154                'Query yielded %d rows, exceeding maximum %d' % (155                len(self._group_dicts), self._MAX_GROUP_RESULTS))156        for group_dict in self._group_dicts:157            self._process_group_dict(group_dict)158        self._header_values = self._get_sorted_header_values()159        if self._header_groups:160            for group_dict in self._group_dicts:161                self._replace_headers_with_indices(group_dict)162    def get_info_dict(self):163        return {'groups' : self._group_dicts,...

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