| Conditions | 15 |
| Total Lines | 73 |
| Code Lines | 50 |
| Lines | 0 |
| Ratio | 0 % |
| Changes | 0 | ||
Small methods make your code easier to understand, in particular if combined with a good name. Besides, if your method is small, finding a good name is usually much easier.
For example, if you find yourself adding comments to a method's body, this is usually a good sign to extract the commented part to a new method, and use the comment as a starting point when coming up with a good name for this new method.
Commonly applied refactorings include:
If many parameters/temporary variables are present:
Complex classes like glances.exports.glances_timescaledb.Export.update() often do a lot of different things. To break such a class down, we need to identify a cohesive component within that class. A common approach to find such a component is to look for fields/methods that share the same prefixes, or suffixes.
Once you have determined the fields that belong together, you can apply the Extract Class refactoring. If the component makes sense as a sub-class, Extract Subclass is also a candidate, and is often faster.
| 1 | # |
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| 92 | def update(self, stats): |
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| 93 | """Update the TimescaleDB export module.""" |
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| 94 | if not self.export_enable: |
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| 95 | return False |
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| 96 | |||
| 97 | # Get all the stats & limits |
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| 98 | # Current limitation with sensors and fs plugins because fields list is not the same |
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| 99 | self._last_exported_list = [p for p in self.plugins_to_export(stats) if p not in ['sensors', 'fs']] |
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| 100 | all_stats = stats.getAllExportsAsDict(plugin_list=self.last_exported_list()) |
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| 101 | all_limits = stats.getAllLimitsAsDict(plugin_list=self.last_exported_list()) |
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| 102 | |||
| 103 | # Loop over plugins to export |
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| 104 | for plugin in self.last_exported_list(): |
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| 105 | if isinstance(all_stats[plugin], dict): |
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| 106 | all_stats[plugin].update(all_limits[plugin]) |
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| 107 | # Remove the <plugin>_disable field |
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| 108 | all_stats[plugin].pop(f"{plugin}_disable", None) |
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| 109 | # user is a special field that should not be exported |
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| 110 | # rename it to user_<plugin> |
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| 111 | if 'user' in all_stats[plugin]: |
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| 112 | all_stats[plugin][f'user_{plugin}'] = all_stats[plugin].pop('user') |
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| 113 | elif isinstance(all_stats[plugin], list): |
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| 114 | for i in all_stats[plugin]: |
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| 115 | i.update(all_limits[plugin]) |
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| 116 | # Remove the <plugin>_disable field |
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| 117 | i.pop(f"{plugin}_disable", None) |
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| 118 | # user is a special field that should not be exported |
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| 119 | # rename it to user_<plugin> |
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| 120 | if 'user' in i: |
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| 121 | i[f'user_{plugin}'] = i.pop('user') |
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| 122 | else: |
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| 123 | continue |
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| 124 | |||
| 125 | plugin_stats = all_stats[plugin] |
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| 126 | creation_list = [] # List used to create the TimescaleDB table |
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| 127 | segmented_by = [] # List of columns used to segment the data |
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| 128 | values_list = [] # List of values to insert (list of lists, one list per row) |
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| 129 | if isinstance(plugin_stats, dict): |
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| 130 | # Stats is a dict |
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| 131 | # Create the list used to create the TimescaleDB table |
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| 132 | creation_list.append('time TIMESTAMPTZ NOT NULL') |
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| 133 | creation_list.append('hostname_id TEXT NOT NULL') |
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| 134 | segmented_by.extend(['hostname_id']) # Segment by hostname |
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| 135 | for key, value in plugin_stats.items(): |
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| 136 | creation_list.append(f"{key} {convert_types[type(value).__name__]} NULL") |
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| 137 | values_list.append('NOW()') # Add the current time (insertion time) |
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| 138 | values_list.append(f"'{self.hostname}'") # Add the hostname |
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| 139 | values_list.extend([self.normalize(value) for value in plugin_stats.values()]) |
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| 140 | values_list = [values_list] |
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| 141 | elif isinstance(plugin_stats, list) and len(plugin_stats) > 0 and 'key' in plugin_stats[0]: |
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| 142 | # Stats is a list |
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| 143 | # Create the list used to create the TimescaleDB table |
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| 144 | creation_list.append('time TIMESTAMPTZ NOT NULL') |
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| 145 | creation_list.append('hostname_id TEXT NOT NULL') |
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| 146 | creation_list.append('key_id TEXT NOT NULL') |
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| 147 | segmented_by.extend(['hostname_id', 'key_id']) # Segment by hostname and key |
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| 148 | for key, value in plugin_stats[0].items(): |
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| 149 | creation_list.append(f"{key} {convert_types[type(value).__name__]} NULL") |
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| 150 | # Create the values list (it is a list of list to have a single datamodel for all the plugins) |
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| 151 | for plugin_item in plugin_stats: |
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| 152 | item_list = [] |
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| 153 | item_list.append('NOW()') # Add the current time (insertion time) |
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| 154 | item_list.append(f"'{self.hostname}'") # Add the hostname |
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| 155 | item_list.append(f"'{plugin_item.get('key')}'") |
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| 156 | item_list.extend([self.normalize(value) for value in plugin_item.values()]) |
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| 157 | values_list.append(item_list[:-1]) |
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| 158 | else: |
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| 159 | continue |
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| 160 | |||
| 161 | # Export stats to TimescaleDB |
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| 162 | self.export(plugin, creation_list, segmented_by, values_list) |
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| 163 | |||
| 164 | return True |
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| 165 | |||
| 218 |