myems /
myems-api
| Conditions | 17 |
| Total Lines | 91 |
| Code Lines | 55 |
| Lines | 91 |
| Ratio | 100 % |
| 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 reports.metertracking.Reporting.on_get() 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 | import falcon |
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| 25 | @staticmethod |
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| 26 | def on_get(req, resp): |
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| 27 | print(req.params) |
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| 28 | space_id = req.params.get('spaceid') |
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| 29 | |||
| 30 | ################################################################################################################ |
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| 31 | # Step 1: valid parameters |
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| 32 | ################################################################################################################ |
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| 33 | if space_id is None: |
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| 34 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_SPACE_ID') |
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| 35 | else: |
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| 36 | space_id = str.strip(space_id) |
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| 37 | if not space_id.isdigit() or int(space_id) <= 0: |
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| 38 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_SPACE_ID') |
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| 39 | else: |
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| 40 | space_id = int(space_id) |
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| 41 | |||
| 42 | cnx = mysql.connector.connect(**config.myems_system_db) |
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| 43 | cursor = cnx.cursor(dictionary=True) |
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| 44 | |||
| 45 | cursor.execute(" SELECT name " |
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| 46 | " FROM tbl_spaces " |
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| 47 | " WHERE id = %s ", (space_id,)) |
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| 48 | row = cursor.fetchone() |
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| 49 | |||
| 50 | if row is None: |
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| 51 | if cursor: |
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| 52 | cursor.close() |
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| 53 | if cnx: |
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| 54 | cnx.disconnect() |
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| 55 | raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', |
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| 56 | description='API.SPACE_NOT_FOUND') |
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| 57 | else: |
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| 58 | space_name = row['name'] |
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| 59 | |||
| 60 | ################################################################################################################ |
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| 61 | # Step 2: build a space tree |
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| 62 | ################################################################################################################ |
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| 63 | |||
| 64 | query = (" SELECT id, name, parent_space_id " |
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| 65 | " FROM tbl_spaces " |
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| 66 | " ORDER BY id ") |
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| 67 | cursor.execute(query) |
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| 68 | rows_spaces = cursor.fetchall() |
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| 69 | node_dict = dict() |
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| 70 | if rows_spaces is not None and len(rows_spaces) > 0: |
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| 71 | for row in rows_spaces: |
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| 72 | parent_node = node_dict[row['parent_space_id']] if row['parent_space_id'] is not None else None |
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| 73 | node_dict[row['id']] = AnyNode(id=row['id'], parent=parent_node, name=row['name']) |
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| 74 | |||
| 75 | ################################################################################################################ |
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| 76 | # Step 3: query all meters in the space tree |
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| 77 | ################################################################################################################ |
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| 78 | meter_list = list() |
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| 79 | space_dict = dict() |
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| 80 | |||
| 81 | for node in LevelOrderIter(node_dict[space_id]): |
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| 82 | space_dict[node.id] = node.name |
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| 83 | |||
| 84 | cursor.execute(" SELECT m.id, m.name AS meter_name, s.name AS space_name, " |
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| 85 | " cc.name AS cost_center_name, ec.name AS energy_category_name, " |
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| 86 | " m.description " |
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| 87 | " FROM tbl_spaces s, tbl_spaces_meters sm, tbl_meters m, tbl_cost_centers cc, " |
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| 88 | " tbl_energy_categories ec " |
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| 89 | " WHERE s.id IN ( " + ', '.join(map(str, space_dict.keys())) + ") " |
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| 90 | " AND sm.space_id = s.id AND sm.meter_id = m.id " |
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| 91 | " AND m.cost_center_id = cc.id AND m.energy_category_id = ec.id ", ) |
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| 92 | rows_meters = cursor.fetchall() |
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| 93 | if rows_meters is not None and len(rows_meters) > 0: |
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| 94 | for row in rows_meters: |
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| 95 | meter_list.append({"id": row['id'], |
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| 96 | "meter_name": row['meter_name'], |
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| 97 | "space_name": row['space_name'], |
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| 98 | "cost_center_name": row['cost_center_name'], |
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| 99 | "energy_category_name": row['energy_category_name'], |
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| 100 | "description": row['description']}) |
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| 101 | |||
| 102 | if cursor: |
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| 103 | cursor.close() |
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| 104 | if cnx: |
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| 105 | cnx.disconnect() |
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| 106 | |||
| 107 | ################################################################################################################ |
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| 108 | # Step 4: construct the report |
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| 109 | ################################################################################################################ |
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| 110 | result = {'meters': meter_list} |
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| 111 | # export result to Excel file and then encode the file to base64 string |
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| 112 | result['excel_bytes_base64'] = \ |
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| 113 | excelexporters.metertracking.export(result, |
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| 114 | space_name) |
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| 115 | resp.body = json.dumps(result) |
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| 116 |
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