115 lines
5.1 KiB
Python
115 lines
5.1 KiB
Python
import falcon
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import simplejson as json
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import mysql.connector
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import config
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from anytree import AnyNode, LevelOrderIter
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import excelexporters.equipmenttracking
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class Reporting:
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@staticmethod
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def __init__():
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""" Initializes Reporting"""
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pass
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@staticmethod
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def on_options(req, resp):
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resp.status = falcon.HTTP_200
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####################################################################################################################
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# PROCEDURES
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# Step 1: valid parameters
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# Step 2: build a space tree
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# Step 3: query all equipments in the space tree
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# Step 4: construct the report
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####################################################################################################################
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@staticmethod
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def on_get(req, resp):
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print(req.params)
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space_id = req.params.get('spaceid')
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################################################################################################################
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# Step 1: valid parameters
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################################################################################################################
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if space_id is None:
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raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_SPACE_ID')
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else:
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space_id = str.strip(space_id)
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if not space_id.isdigit() or int(space_id) <= 0:
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raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_SPACE_ID')
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else:
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space_id = int(space_id)
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cnx = mysql.connector.connect(**config.myems_system_db)
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cursor = cnx.cursor(dictionary=True)
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cursor.execute(" SELECT name "
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" FROM tbl_spaces "
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" WHERE id = %s ", (space_id,))
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row = cursor.fetchone()
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if row is None:
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if cursor:
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cursor.close()
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if cnx:
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cnx.close()
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raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND',
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description='API.SPACE_NOT_FOUND')
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else:
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space_name = row['name']
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################################################################################################################
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# Step 2: build a space tree
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################################################################################################################
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query = (" SELECT id, name, parent_space_id "
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" FROM tbl_spaces "
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" ORDER BY id ")
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cursor.execute(query)
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rows_spaces = cursor.fetchall()
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node_dict = dict()
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if rows_spaces is not None and len(rows_spaces) > 0:
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for row in rows_spaces:
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parent_node = node_dict[row['parent_space_id']] if row['parent_space_id'] is not None else None
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node_dict[row['id']] = AnyNode(id=row['id'], parent=parent_node, name=row['name'])
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################################################################################################################
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# Step 3: query all equipments in the space tree
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################################################################################################################
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equipment_list = list()
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space_dict = dict()
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for node in LevelOrderIter(node_dict[space_id]):
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space_dict[node.id] = node.name
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cursor.execute(" SELECT e.id, e.name AS equipment_name, s.name AS space_name, "
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" cc.name AS cost_center_name, e.description "
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" FROM tbl_spaces s, tbl_spaces_equipments se, tbl_equipments e, tbl_cost_centers cc "
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" WHERE s.id IN ( " + ', '.join(map(str, space_dict.keys())) + ") "
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" AND se.space_id = s.id "
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" AND se.equipment_id = e.id "
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" AND e.cost_center_id = cc.id ", )
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rows_equipments = cursor.fetchall()
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if rows_equipments is not None and len(rows_equipments) > 0:
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for row in rows_equipments:
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equipment_list.append({"id": row['id'],
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"equipment_name": row['equipment_name'],
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"space_name": row['space_name'],
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"cost_center_name": row['cost_center_name'],
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"description": row['description']})
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if cursor:
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cursor.close()
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if cnx:
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cnx.close()
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################################################################################################################
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# Step 4: construct the report
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################################################################################################################
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result = {'equipments': equipment_list}
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# export result to Excel file and then encode the file to base64 string
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result['excel_bytes_base64'] = \
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excelexporters.equipmenttracking.export(result,
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space_name)
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resp.text = json.dumps(result)
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