@@ 11-536 (lines=526) @@ | ||
8 | import excelexporters.tenantenergyitem |
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9 | ||
10 | ||
11 | class Reporting: |
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12 | @staticmethod |
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13 | def __init__(): |
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14 | pass |
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15 | ||
16 | @staticmethod |
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17 | def on_options(req, resp): |
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18 | resp.status = falcon.HTTP_200 |
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19 | ||
20 | #################################################################################################################### |
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21 | # PROCEDURES |
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22 | # Step 1: valid parameters |
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23 | # Step 2: query the tenant |
|
24 | # Step 3: query energy items |
|
25 | # Step 4: query associated sensors |
|
26 | # Step 5: query associated points |
|
27 | # Step 6: query base period energy input |
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28 | # Step 7: query reporting period energy input |
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29 | # Step 8: query tariff data |
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30 | # Step 9: query associated sensors and points data |
|
31 | # Step 10: construct the report |
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32 | #################################################################################################################### |
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33 | @staticmethod |
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34 | def on_get(req, resp): |
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35 | print(req.params) |
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36 | tenant_id = req.params.get('tenantid') |
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37 | period_type = req.params.get('periodtype') |
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38 | base_start_datetime_local = req.params.get('baseperiodstartdatetime') |
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39 | base_end_datetime_local = req.params.get('baseperiodenddatetime') |
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40 | reporting_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
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41 | reporting_end_datetime_local = req.params.get('reportingperiodenddatetime') |
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42 | ||
43 | ################################################################################################################ |
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44 | # Step 1: valid parameters |
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45 | ################################################################################################################ |
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46 | if tenant_id is None: |
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47 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_TENANT_ID') |
|
48 | else: |
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49 | tenant_id = str.strip(tenant_id) |
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50 | if not tenant_id.isdigit() or int(tenant_id) <= 0: |
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51 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_TENANT_ID') |
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52 | ||
53 | if period_type is None: |
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54 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
|
55 | else: |
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56 | period_type = str.strip(period_type) |
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57 | if period_type not in ['hourly', 'daily', 'monthly', 'yearly']: |
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58 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
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59 | ||
60 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
|
61 | if config.utc_offset[0] == '-': |
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62 | timezone_offset = -timezone_offset |
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63 | ||
64 | base_start_datetime_utc = None |
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65 | if base_start_datetime_local is not None and len(str.strip(base_start_datetime_local)) > 0: |
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66 | base_start_datetime_local = str.strip(base_start_datetime_local) |
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67 | try: |
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68 | base_start_datetime_utc = datetime.strptime(base_start_datetime_local, |
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69 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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70 | timedelta(minutes=timezone_offset) |
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71 | except ValueError: |
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72 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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73 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
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74 | ||
75 | base_end_datetime_utc = None |
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76 | if base_end_datetime_local is not None and len(str.strip(base_end_datetime_local)) > 0: |
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77 | base_end_datetime_local = str.strip(base_end_datetime_local) |
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78 | try: |
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79 | base_end_datetime_utc = datetime.strptime(base_end_datetime_local, |
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80 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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81 | timedelta(minutes=timezone_offset) |
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82 | except ValueError: |
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83 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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84 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
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85 | ||
86 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
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87 | base_start_datetime_utc >= base_end_datetime_utc: |
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88 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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89 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
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90 | ||
91 | if reporting_start_datetime_local is None: |
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92 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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93 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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94 | else: |
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95 | reporting_start_datetime_local = str.strip(reporting_start_datetime_local) |
|
96 | try: |
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97 | reporting_start_datetime_utc = datetime.strptime(reporting_start_datetime_local, |
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98 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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99 | timedelta(minutes=timezone_offset) |
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100 | except ValueError: |
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101 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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102 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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103 | ||
104 | if reporting_end_datetime_local is None: |
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105 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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106 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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107 | else: |
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108 | reporting_end_datetime_local = str.strip(reporting_end_datetime_local) |
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109 | try: |
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110 | reporting_end_datetime_utc = datetime.strptime(reporting_end_datetime_local, |
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111 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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112 | timedelta(minutes=timezone_offset) |
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113 | except ValueError: |
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114 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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115 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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116 | ||
117 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
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118 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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119 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
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120 | ||
121 | ################################################################################################################ |
|
122 | # Step 2: query the tenant |
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123 | ################################################################################################################ |
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124 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
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125 | cursor_system = cnx_system.cursor() |
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126 | ||
127 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
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128 | cursor_energy = cnx_energy.cursor() |
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129 | ||
130 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
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131 | cursor_historical = cnx_historical.cursor() |
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132 | ||
133 | cursor_system.execute(" SELECT id, name, area, cost_center_id " |
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134 | " FROM tbl_tenants " |
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135 | " WHERE id = %s ", (tenant_id,)) |
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136 | row_tenant = cursor_system.fetchone() |
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137 | if row_tenant is None: |
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138 | if cursor_system: |
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139 | cursor_system.close() |
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140 | if cnx_system: |
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141 | cnx_system.disconnect() |
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142 | ||
143 | if cursor_energy: |
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144 | cursor_energy.close() |
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145 | if cnx_energy: |
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146 | cnx_energy.disconnect() |
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147 | ||
148 | if cnx_historical: |
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149 | cnx_historical.close() |
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150 | if cursor_historical: |
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151 | cursor_historical.disconnect() |
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152 | raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.TENANT_NOT_FOUND') |
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153 | ||
154 | tenant = dict() |
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155 | tenant['id'] = row_tenant[0] |
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156 | tenant['name'] = row_tenant[1] |
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157 | tenant['area'] = row_tenant[2] |
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158 | tenant['cost_center_id'] = row_tenant[3] |
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159 | ||
160 | ################################################################################################################ |
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161 | # Step 3: query energy items |
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162 | ################################################################################################################ |
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163 | energy_item_set = set() |
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164 | # query energy items in base period |
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165 | cursor_energy.execute(" SELECT DISTINCT(energy_item_id) " |
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166 | " FROM tbl_tenant_input_item_hourly " |
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167 | " WHERE tenant_id = %s " |
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168 | " AND start_datetime_utc >= %s " |
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169 | " AND start_datetime_utc < %s ", |
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170 | (tenant['id'], base_start_datetime_utc, base_end_datetime_utc)) |
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171 | rows_energy_items = cursor_energy.fetchall() |
|
172 | if rows_energy_items is not None or len(rows_energy_items) > 0: |
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173 | for row_item in rows_energy_items: |
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174 | energy_item_set.add(row_item[0]) |
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175 | ||
176 | # query energy items in reporting period |
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177 | cursor_energy.execute(" SELECT DISTINCT(energy_item_id) " |
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178 | " FROM tbl_tenant_input_item_hourly " |
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179 | " WHERE tenant_id = %s " |
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180 | " AND start_datetime_utc >= %s " |
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181 | " AND start_datetime_utc < %s ", |
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182 | (tenant['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
|
183 | rows_energy_items = cursor_energy.fetchall() |
|
184 | if rows_energy_items is not None or len(rows_energy_items) > 0: |
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185 | for row_item in rows_energy_items: |
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186 | energy_item_set.add(row_item[0]) |
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187 | ||
188 | # query all energy items in base period and reporting period |
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189 | cursor_system.execute(" SELECT ei.id, ei.name, ei.energy_category_id, " |
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190 | " ec.name AS energy_category_name, ec.unit_of_measure, ec.kgce, ec.kgco2e " |
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191 | " FROM tbl_energy_items ei, tbl_energy_categories ec " |
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192 | " WHERE ei.energy_category_id = ec.id " |
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193 | " ORDER BY ei.id ", ) |
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194 | rows_energy_items = cursor_system.fetchall() |
|
195 | if rows_energy_items is None or len(rows_energy_items) == 0: |
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196 | if cursor_system: |
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197 | cursor_system.close() |
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198 | if cnx_system: |
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199 | cnx_system.disconnect() |
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200 | ||
201 | if cursor_energy: |
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202 | cursor_energy.close() |
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203 | if cnx_energy: |
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204 | cnx_energy.disconnect() |
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205 | ||
206 | if cnx_historical: |
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207 | cnx_historical.close() |
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208 | if cursor_historical: |
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209 | cursor_historical.disconnect() |
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210 | raise falcon.HTTPError(falcon.HTTP_404, |
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211 | title='API.NOT_FOUND', |
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212 | description='API.ENERGY_ITEM_NOT_FOUND') |
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213 | energy_item_dict = dict() |
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214 | for row_energy_item in rows_energy_items: |
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215 | if row_energy_item[0] in energy_item_set: |
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216 | energy_item_dict[row_energy_item[0]] = {"name": row_energy_item[1], |
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217 | "energy_category_id": row_energy_item[2], |
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218 | "energy_category_name": row_energy_item[3], |
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219 | "unit_of_measure": row_energy_item[4], |
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220 | "kgce": row_energy_item[5], |
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221 | "kgco2e": row_energy_item[6]} |
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222 | ||
223 | ################################################################################################################ |
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224 | # Step 4: query associated sensors |
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225 | ################################################################################################################ |
|
226 | point_list = list() |
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227 | cursor_system.execute(" SELECT p.id, p.name, p.units, p.object_type " |
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228 | " FROM tbl_tenants t, tbl_sensors s, tbl_tenants_sensors ts, " |
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229 | " tbl_points p, tbl_sensors_points sp " |
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230 | " WHERE t.id = %s AND t.id = ts.tenant_id AND ts.sensor_id = s.id " |
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231 | " AND s.id = sp.sensor_id AND sp.point_id = p.id " |
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232 | " ORDER BY p.id ", (tenant['id'], )) |
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233 | rows_points = cursor_system.fetchall() |
|
234 | if rows_points is not None and len(rows_points) > 0: |
|
235 | for row in rows_points: |
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236 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
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237 | ||
238 | ################################################################################################################ |
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239 | # Step 5: query associated points |
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240 | ################################################################################################################ |
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241 | cursor_system.execute(" SELECT po.id, po.name, po.units, po.object_type " |
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242 | " FROM tbl_tenants sp, tbl_tenants_points sppo, tbl_points po " |
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243 | " WHERE sp.id = %s AND sp.id = sppo.tenant_id AND sppo.point_id = po.id " |
|
244 | " ORDER BY po.id ", (tenant['id'], )) |
|
245 | rows_points = cursor_system.fetchall() |
|
246 | if rows_points is not None and len(rows_points) > 0: |
|
247 | for row in rows_points: |
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248 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
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249 | ||
250 | ################################################################################################################ |
|
251 | # Step 6: query base period energy input |
|
252 | ################################################################################################################ |
|
253 | base = dict() |
|
254 | if energy_item_set is not None and len(energy_item_set) > 0: |
|
255 | for energy_item_id in energy_item_set: |
|
256 | base[energy_item_id] = dict() |
|
257 | base[energy_item_id]['timestamps'] = list() |
|
258 | base[energy_item_id]['values'] = list() |
|
259 | base[energy_item_id]['subtotal'] = Decimal(0.0) |
|
260 | ||
261 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
262 | " FROM tbl_tenant_input_item_hourly " |
|
263 | " WHERE tenant_id = %s " |
|
264 | " AND energy_item_id = %s " |
|
265 | " AND start_datetime_utc >= %s " |
|
266 | " AND start_datetime_utc < %s " |
|
267 | " ORDER BY start_datetime_utc ", |
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268 | (tenant['id'], |
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269 | energy_item_id, |
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270 | base_start_datetime_utc, |
|
271 | base_end_datetime_utc)) |
|
272 | rows_tenant_hourly = cursor_energy.fetchall() |
|
273 | ||
274 | rows_tenant_periodically = utilities.aggregate_hourly_data_by_period(rows_tenant_hourly, |
|
275 | base_start_datetime_utc, |
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276 | base_end_datetime_utc, |
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277 | period_type) |
|
278 | for row_tenant_periodically in rows_tenant_periodically: |
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279 | current_datetime_local = row_tenant_periodically[0].replace(tzinfo=timezone.utc) + \ |
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280 | timedelta(minutes=timezone_offset) |
|
281 | if period_type == 'hourly': |
|
282 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
283 | elif period_type == 'daily': |
|
284 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
|
285 | elif period_type == 'monthly': |
|
286 | current_datetime = current_datetime_local.strftime('%Y-%m') |
|
287 | elif period_type == 'yearly': |
|
288 | current_datetime = current_datetime_local.strftime('%Y') |
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289 | ||
290 | actual_value = Decimal(0.0) if row_tenant_periodically[1] is None else row_tenant_periodically[1] |
|
291 | base[energy_item_id]['timestamps'].append(current_datetime) |
|
292 | base[energy_item_id]['values'].append(actual_value) |
|
293 | base[energy_item_id]['subtotal'] += actual_value |
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294 | ||
295 | ################################################################################################################ |
|
296 | # Step 7: query reporting period energy input |
|
297 | ################################################################################################################ |
|
298 | reporting = dict() |
|
299 | if energy_item_set is not None and len(energy_item_set) > 0: |
|
300 | for energy_item_id in energy_item_set: |
|
301 | reporting[energy_item_id] = dict() |
|
302 | reporting[energy_item_id]['timestamps'] = list() |
|
303 | reporting[energy_item_id]['values'] = list() |
|
304 | reporting[energy_item_id]['subtotal'] = Decimal(0.0) |
|
305 | reporting[energy_item_id]['toppeak'] = Decimal(0.0) |
|
306 | reporting[energy_item_id]['onpeak'] = Decimal(0.0) |
|
307 | reporting[energy_item_id]['midpeak'] = Decimal(0.0) |
|
308 | reporting[energy_item_id]['offpeak'] = Decimal(0.0) |
|
309 | ||
310 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
311 | " FROM tbl_tenant_input_item_hourly " |
|
312 | " WHERE tenant_id = %s " |
|
313 | " AND energy_item_id = %s " |
|
314 | " AND start_datetime_utc >= %s " |
|
315 | " AND start_datetime_utc < %s " |
|
316 | " ORDER BY start_datetime_utc ", |
|
317 | (tenant['id'], |
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318 | energy_item_id, |
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319 | reporting_start_datetime_utc, |
|
320 | reporting_end_datetime_utc)) |
|
321 | rows_tenant_hourly = cursor_energy.fetchall() |
|
322 | ||
323 | rows_tenant_periodically = utilities.aggregate_hourly_data_by_period(rows_tenant_hourly, |
|
324 | reporting_start_datetime_utc, |
|
325 | reporting_end_datetime_utc, |
|
326 | period_type) |
|
327 | for row_tenant_periodically in rows_tenant_periodically: |
|
328 | current_datetime_local = row_tenant_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
329 | timedelta(minutes=timezone_offset) |
|
330 | if period_type == 'hourly': |
|
331 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
332 | elif period_type == 'daily': |
|
333 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
|
334 | elif period_type == 'monthly': |
|
335 | current_datetime = current_datetime_local.strftime('%Y-%m') |
|
336 | elif period_type == 'yearly': |
|
337 | current_datetime = current_datetime_local.strftime('%Y') |
|
338 | ||
339 | actual_value = Decimal(0.0) if row_tenant_periodically[1] is None else row_tenant_periodically[1] |
|
340 | reporting[energy_item_id]['timestamps'].append(current_datetime) |
|
341 | reporting[energy_item_id]['values'].append(actual_value) |
|
342 | reporting[energy_item_id]['subtotal'] += actual_value |
|
343 | ||
344 | energy_category_tariff_dict = \ |
|
345 | utilities.get_energy_category_peak_types(tenant['cost_center_id'], |
|
346 | energy_item_dict[energy_item_id]['energy_category_id'], |
|
347 | reporting_start_datetime_utc, |
|
348 | reporting_end_datetime_utc) |
|
349 | for row in rows_tenant_hourly: |
|
350 | peak_type = energy_category_tariff_dict.get(row[0], None) |
|
351 | if peak_type == 'toppeak': |
|
352 | reporting[energy_item_id]['toppeak'] += row[1] |
|
353 | elif peak_type == 'onpeak': |
|
354 | reporting[energy_item_id]['onpeak'] += row[1] |
|
355 | elif peak_type == 'midpeak': |
|
356 | reporting[energy_item_id]['midpeak'] += row[1] |
|
357 | elif peak_type == 'offpeak': |
|
358 | reporting[energy_item_id]['offpeak'] += row[1] |
|
359 | ||
360 | ################################################################################################################ |
|
361 | # Step 8: query tariff data |
|
362 | ################################################################################################################ |
|
363 | parameters_data = dict() |
|
364 | parameters_data['names'] = list() |
|
365 | parameters_data['timestamps'] = list() |
|
366 | parameters_data['values'] = list() |
|
367 | if energy_item_set is not None and len(energy_item_set) > 0: |
|
368 | for energy_item_id in energy_item_set: |
|
369 | energy_category_tariff_dict = \ |
|
370 | utilities.get_energy_category_tariffs(tenant['cost_center_id'], |
|
371 | energy_item_dict[energy_item_id]['energy_category_id'], |
|
372 | reporting_start_datetime_utc, |
|
373 | reporting_end_datetime_utc) |
|
374 | tariff_timestamp_list = list() |
|
375 | tariff_value_list = list() |
|
376 | for k, v in energy_category_tariff_dict.items(): |
|
377 | # convert k from utc to local |
|
378 | k = k + timedelta(minutes=timezone_offset) |
|
379 | tariff_timestamp_list.append(k.isoformat()[0:19][0:19]) |
|
380 | tariff_value_list.append(v) |
|
381 | ||
382 | parameters_data['names'].append('TARIFF-' + energy_item_dict[energy_item_id]['name']) |
|
383 | parameters_data['timestamps'].append(tariff_timestamp_list) |
|
384 | parameters_data['values'].append(tariff_value_list) |
|
385 | ||
386 | ################################################################################################################ |
|
387 | # Step 9: query associated sensors and points data |
|
388 | ################################################################################################################ |
|
389 | for point in point_list: |
|
390 | point_values = [] |
|
391 | point_timestamps = [] |
|
392 | if point['object_type'] == 'ANALOG_VALUE': |
|
393 | query = (" SELECT utc_date_time, actual_value " |
|
394 | " FROM tbl_analog_value " |
|
395 | " WHERE point_id = %s " |
|
396 | " AND utc_date_time BETWEEN %s AND %s " |
|
397 | " ORDER BY utc_date_time ") |
|
398 | cursor_historical.execute(query, (point['id'], |
|
399 | reporting_start_datetime_utc, |
|
400 | reporting_end_datetime_utc)) |
|
401 | rows = cursor_historical.fetchall() |
|
402 | ||
403 | if rows is not None and len(rows) > 0: |
|
404 | for row in rows: |
|
405 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
406 | timedelta(minutes=timezone_offset) |
|
407 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
408 | point_timestamps.append(current_datetime) |
|
409 | point_values.append(row[1]) |
|
410 | ||
411 | elif point['object_type'] == 'ENERGY_VALUE': |
|
412 | query = (" SELECT utc_date_time, actual_value " |
|
413 | " FROM tbl_energy_value " |
|
414 | " WHERE point_id = %s " |
|
415 | " AND utc_date_time BETWEEN %s AND %s " |
|
416 | " ORDER BY utc_date_time ") |
|
417 | cursor_historical.execute(query, (point['id'], |
|
418 | reporting_start_datetime_utc, |
|
419 | reporting_end_datetime_utc)) |
|
420 | rows = cursor_historical.fetchall() |
|
421 | ||
422 | if rows is not None and len(rows) > 0: |
|
423 | for row in rows: |
|
424 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
425 | timedelta(minutes=timezone_offset) |
|
426 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
427 | point_timestamps.append(current_datetime) |
|
428 | point_values.append(row[1]) |
|
429 | elif point['object_type'] == 'DIGITAL_VALUE': |
|
430 | query = (" SELECT utc_date_time, actual_value " |
|
431 | " FROM tbl_digital_value " |
|
432 | " WHERE point_id = %s " |
|
433 | " AND utc_date_time BETWEEN %s AND %s ") |
|
434 | cursor_historical.execute(query, (point['id'], |
|
435 | reporting_start_datetime_utc, |
|
436 | reporting_end_datetime_utc)) |
|
437 | rows = cursor_historical.fetchall() |
|
438 | ||
439 | if rows is not None and len(rows) > 0: |
|
440 | for row in rows: |
|
441 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
442 | timedelta(minutes=timezone_offset) |
|
443 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
444 | point_timestamps.append(current_datetime) |
|
445 | point_values.append(row[1]) |
|
446 | ||
447 | parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') |
|
448 | parameters_data['timestamps'].append(point_timestamps) |
|
449 | parameters_data['values'].append(point_values) |
|
450 | ||
451 | ################################################################################################################ |
|
452 | # Step 10: construct the report |
|
453 | ################################################################################################################ |
|
454 | if cursor_system: |
|
455 | cursor_system.close() |
|
456 | if cnx_system: |
|
457 | cnx_system.disconnect() |
|
458 | ||
459 | if cursor_energy: |
|
460 | cursor_energy.close() |
|
461 | if cnx_energy: |
|
462 | cnx_energy.disconnect() |
|
463 | ||
464 | result = dict() |
|
465 | ||
466 | result['tenant'] = dict() |
|
467 | result['tenant']['name'] = tenant['name'] |
|
468 | result['tenant']['area'] = tenant['area'] |
|
469 | ||
470 | result['base_period'] = dict() |
|
471 | result['base_period']['names'] = list() |
|
472 | result['base_period']['units'] = list() |
|
473 | result['base_period']['timestamps'] = list() |
|
474 | result['base_period']['values'] = list() |
|
475 | result['base_period']['subtotals'] = list() |
|
476 | if energy_item_set is not None and len(energy_item_set) > 0: |
|
477 | for energy_item_id in energy_item_set: |
|
478 | result['base_period']['names'].append(energy_item_dict[energy_item_id]['name']) |
|
479 | result['base_period']['units'].append(energy_item_dict[energy_item_id]['unit_of_measure']) |
|
480 | result['base_period']['timestamps'].append(base[energy_item_id]['timestamps']) |
|
481 | result['base_period']['values'].append(base[energy_item_id]['values']) |
|
482 | result['base_period']['subtotals'].append(base[energy_item_id]['subtotal']) |
|
483 | ||
484 | result['reporting_period'] = dict() |
|
485 | result['reporting_period']['names'] = list() |
|
486 | result['reporting_period']['energy_item_ids'] = list() |
|
487 | result['reporting_period']['energy_category_names'] = list() |
|
488 | result['reporting_period']['energy_category_ids'] = list() |
|
489 | result['reporting_period']['units'] = list() |
|
490 | result['reporting_period']['timestamps'] = list() |
|
491 | result['reporting_period']['values'] = list() |
|
492 | result['reporting_period']['subtotals'] = list() |
|
493 | result['reporting_period']['subtotals_per_unit_area'] = list() |
|
494 | result['reporting_period']['toppeaks'] = list() |
|
495 | result['reporting_period']['onpeaks'] = list() |
|
496 | result['reporting_period']['midpeaks'] = list() |
|
497 | result['reporting_period']['offpeaks'] = list() |
|
498 | result['reporting_period']['increment_rates'] = list() |
|
499 | ||
500 | if energy_item_set is not None and len(energy_item_set) > 0: |
|
501 | for energy_item_id in energy_item_set: |
|
502 | result['reporting_period']['names'].append(energy_item_dict[energy_item_id]['name']) |
|
503 | result['reporting_period']['energy_item_ids'].append(energy_item_id) |
|
504 | result['reporting_period']['energy_category_names'].append( |
|
505 | energy_item_dict[energy_item_id]['energy_category_name']) |
|
506 | result['reporting_period']['energy_category_ids'].append( |
|
507 | energy_item_dict[energy_item_id]['energy_category_id']) |
|
508 | result['reporting_period']['units'].append(energy_item_dict[energy_item_id]['unit_of_measure']) |
|
509 | result['reporting_period']['timestamps'].append(reporting[energy_item_id]['timestamps']) |
|
510 | result['reporting_period']['values'].append(reporting[energy_item_id]['values']) |
|
511 | result['reporting_period']['subtotals'].append(reporting[energy_item_id]['subtotal']) |
|
512 | result['reporting_period']['subtotals_per_unit_area'].append( |
|
513 | reporting[energy_item_id]['subtotal'] / tenant['area'] if tenant['area'] > 0.0 else None) |
|
514 | result['reporting_period']['toppeaks'].append(reporting[energy_item_id]['toppeak']) |
|
515 | result['reporting_period']['onpeaks'].append(reporting[energy_item_id]['onpeak']) |
|
516 | result['reporting_period']['midpeaks'].append(reporting[energy_item_id]['midpeak']) |
|
517 | result['reporting_period']['offpeaks'].append(reporting[energy_item_id]['offpeak']) |
|
518 | result['reporting_period']['increment_rates'].append( |
|
519 | (reporting[energy_item_id]['subtotal'] - base[energy_item_id]['subtotal']) / |
|
520 | base[energy_item_id]['subtotal'] |
|
521 | if base[energy_item_id]['subtotal'] > 0.0 else None) |
|
522 | ||
523 | result['parameters'] = { |
|
524 | "names": parameters_data['names'], |
|
525 | "timestamps": parameters_data['timestamps'], |
|
526 | "values": parameters_data['values'] |
|
527 | } |
|
528 | ||
529 | # export result to Excel file and then encode the file to base64 string |
|
530 | result['excel_bytes_base64'] = excelexporters.tenantenergyitem.export(result, |
|
531 | tenant['name'], |
|
532 | reporting_start_datetime_local, |
|
533 | reporting_end_datetime_local, |
|
534 | period_type) |
|
535 | ||
536 | resp.body = json.dumps(result) |
|
537 |
@@ 11-536 (lines=526) @@ | ||
8 | import excelexporters.storeenergyitem |
|
9 | ||
10 | ||
11 | class Reporting: |
|
12 | @staticmethod |
|
13 | def __init__(): |
|
14 | pass |
|
15 | ||
16 | @staticmethod |
|
17 | def on_options(req, resp): |
|
18 | resp.status = falcon.HTTP_200 |
|
19 | ||
20 | #################################################################################################################### |
|
21 | # PROCEDURES |
|
22 | # Step 1: valid parameters |
|
23 | # Step 2: query the store |
|
24 | # Step 3: query energy items |
|
25 | # Step 4: query associated sensors |
|
26 | # Step 5: query associated points |
|
27 | # Step 6: query base period energy input |
|
28 | # Step 7: query reporting period energy input |
|
29 | # Step 8: query tariff data |
|
30 | # Step 9: query associated sensors and points data |
|
31 | # Step 10: construct the report |
|
32 | #################################################################################################################### |
|
33 | @staticmethod |
|
34 | def on_get(req, resp): |
|
35 | print(req.params) |
|
36 | store_id = req.params.get('storeid') |
|
37 | period_type = req.params.get('periodtype') |
|
38 | base_start_datetime_local = req.params.get('baseperiodstartdatetime') |
|
39 | base_end_datetime_local = req.params.get('baseperiodenddatetime') |
|
40 | reporting_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
|
41 | reporting_end_datetime_local = req.params.get('reportingperiodenddatetime') |
|
42 | ||
43 | ################################################################################################################ |
|
44 | # Step 1: valid parameters |
|
45 | ################################################################################################################ |
|
46 | if store_id is None: |
|
47 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_STORE_ID') |
|
48 | else: |
|
49 | store_id = str.strip(store_id) |
|
50 | if not store_id.isdigit() or int(store_id) <= 0: |
|
51 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_STORE_ID') |
|
52 | ||
53 | if period_type is None: |
|
54 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
|
55 | else: |
|
56 | period_type = str.strip(period_type) |
|
57 | if period_type not in ['hourly', 'daily', 'monthly', 'yearly']: |
|
58 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
|
59 | ||
60 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
|
61 | if config.utc_offset[0] == '-': |
|
62 | timezone_offset = -timezone_offset |
|
63 | ||
64 | base_start_datetime_utc = None |
|
65 | if base_start_datetime_local is not None and len(str.strip(base_start_datetime_local)) > 0: |
|
66 | base_start_datetime_local = str.strip(base_start_datetime_local) |
|
67 | try: |
|
68 | base_start_datetime_utc = datetime.strptime(base_start_datetime_local, |
|
69 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
|
70 | timedelta(minutes=timezone_offset) |
|
71 | except ValueError: |
|
72 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
|
73 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
|
74 | ||
75 | base_end_datetime_utc = None |
|
76 | if base_end_datetime_local is not None and len(str.strip(base_end_datetime_local)) > 0: |
|
77 | base_end_datetime_local = str.strip(base_end_datetime_local) |
|
78 | try: |
|
79 | base_end_datetime_utc = datetime.strptime(base_end_datetime_local, |
|
80 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
|
81 | timedelta(minutes=timezone_offset) |
|
82 | except ValueError: |
|
83 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
|
84 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
|
85 | ||
86 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
|
87 | base_start_datetime_utc >= base_end_datetime_utc: |
|
88 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
|
89 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
|
90 | ||
91 | if reporting_start_datetime_local is None: |
|
92 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
|
93 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
94 | else: |
|
95 | reporting_start_datetime_local = str.strip(reporting_start_datetime_local) |
|
96 | try: |
|
97 | reporting_start_datetime_utc = datetime.strptime(reporting_start_datetime_local, |
|
98 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
|
99 | timedelta(minutes=timezone_offset) |
|
100 | except ValueError: |
|
101 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
|
102 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
103 | ||
104 | if reporting_end_datetime_local is None: |
|
105 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
|
106 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
107 | else: |
|
108 | reporting_end_datetime_local = str.strip(reporting_end_datetime_local) |
|
109 | try: |
|
110 | reporting_end_datetime_utc = datetime.strptime(reporting_end_datetime_local, |
|
111 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
|
112 | timedelta(minutes=timezone_offset) |
|
113 | except ValueError: |
|
114 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
|
115 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
116 | ||
117 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
|
118 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
|
119 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
|
120 | ||
121 | ################################################################################################################ |
|
122 | # Step 2: query the store |
|
123 | ################################################################################################################ |
|
124 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
|
125 | cursor_system = cnx_system.cursor() |
|
126 | ||
127 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
|
128 | cursor_energy = cnx_energy.cursor() |
|
129 | ||
130 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
|
131 | cursor_historical = cnx_historical.cursor() |
|
132 | ||
133 | cursor_system.execute(" SELECT id, name, area, cost_center_id " |
|
134 | " FROM tbl_stores " |
|
135 | " WHERE id = %s ", (store_id,)) |
|
136 | row_store = cursor_system.fetchone() |
|
137 | if row_store is None: |
|
138 | if cursor_system: |
|
139 | cursor_system.close() |
|
140 | if cnx_system: |
|
141 | cnx_system.disconnect() |
|
142 | ||
143 | if cursor_energy: |
|
144 | cursor_energy.close() |
|
145 | if cnx_energy: |
|
146 | cnx_energy.disconnect() |
|
147 | ||
148 | if cnx_historical: |
|
149 | cnx_historical.close() |
|
150 | if cursor_historical: |
|
151 | cursor_historical.disconnect() |
|
152 | raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.STORE_NOT_FOUND') |
|
153 | ||
154 | store = dict() |
|
155 | store['id'] = row_store[0] |
|
156 | store['name'] = row_store[1] |
|
157 | store['area'] = row_store[2] |
|
158 | store['cost_center_id'] = row_store[3] |
|
159 | ||
160 | ################################################################################################################ |
|
161 | # Step 3: query energy items |
|
162 | ################################################################################################################ |
|
163 | energy_item_set = set() |
|
164 | # query energy items in base period |
|
165 | cursor_energy.execute(" SELECT DISTINCT(energy_item_id) " |
|
166 | " FROM tbl_store_input_item_hourly " |
|
167 | " WHERE store_id = %s " |
|
168 | " AND start_datetime_utc >= %s " |
|
169 | " AND start_datetime_utc < %s ", |
|
170 | (store['id'], base_start_datetime_utc, base_end_datetime_utc)) |
|
171 | rows_energy_items = cursor_energy.fetchall() |
|
172 | if rows_energy_items is not None or len(rows_energy_items) > 0: |
|
173 | for row_item in rows_energy_items: |
|
174 | energy_item_set.add(row_item[0]) |
|
175 | ||
176 | # query energy items in reporting period |
|
177 | cursor_energy.execute(" SELECT DISTINCT(energy_item_id) " |
|
178 | " FROM tbl_store_input_item_hourly " |
|
179 | " WHERE store_id = %s " |
|
180 | " AND start_datetime_utc >= %s " |
|
181 | " AND start_datetime_utc < %s ", |
|
182 | (store['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
|
183 | rows_energy_items = cursor_energy.fetchall() |
|
184 | if rows_energy_items is not None or len(rows_energy_items) > 0: |
|
185 | for row_item in rows_energy_items: |
|
186 | energy_item_set.add(row_item[0]) |
|
187 | ||
188 | # query all energy items in base period and reporting period |
|
189 | cursor_system.execute(" SELECT ei.id, ei.name, ei.energy_category_id, " |
|
190 | " ec.name AS energy_category_name, ec.unit_of_measure, ec.kgce, ec.kgco2e " |
|
191 | " FROM tbl_energy_items ei, tbl_energy_categories ec " |
|
192 | " WHERE ei.energy_category_id = ec.id " |
|
193 | " ORDER BY ei.id ", ) |
|
194 | rows_energy_items = cursor_system.fetchall() |
|
195 | if rows_energy_items is None or len(rows_energy_items) == 0: |
|
196 | if cursor_system: |
|
197 | cursor_system.close() |
|
198 | if cnx_system: |
|
199 | cnx_system.disconnect() |
|
200 | ||
201 | if cursor_energy: |
|
202 | cursor_energy.close() |
|
203 | if cnx_energy: |
|
204 | cnx_energy.disconnect() |
|
205 | ||
206 | if cnx_historical: |
|
207 | cnx_historical.close() |
|
208 | if cursor_historical: |
|
209 | cursor_historical.disconnect() |
|
210 | raise falcon.HTTPError(falcon.HTTP_404, |
|
211 | title='API.NOT_FOUND', |
|
212 | description='API.ENERGY_ITEM_NOT_FOUND') |
|
213 | energy_item_dict = dict() |
|
214 | for row_energy_item in rows_energy_items: |
|
215 | if row_energy_item[0] in energy_item_set: |
|
216 | energy_item_dict[row_energy_item[0]] = {"name": row_energy_item[1], |
|
217 | "energy_category_id": row_energy_item[2], |
|
218 | "energy_category_name": row_energy_item[3], |
|
219 | "unit_of_measure": row_energy_item[4], |
|
220 | "kgce": row_energy_item[5], |
|
221 | "kgco2e": row_energy_item[6]} |
|
222 | ||
223 | ################################################################################################################ |
|
224 | # Step 4: query associated sensors |
|
225 | ################################################################################################################ |
|
226 | point_list = list() |
|
227 | cursor_system.execute(" SELECT p.id, p.name, p.units, p.object_type " |
|
228 | " FROM tbl_stores st, tbl_sensors se, tbl_stores_sensors ss, " |
|
229 | " tbl_points p, tbl_sensors_points sp " |
|
230 | " WHERE st.id = %s AND st.id = ss.store_id AND ss.sensor_id = se.id " |
|
231 | " AND se.id = sp.sensor_id AND sp.point_id = p.id " |
|
232 | " ORDER BY p.id ", (store['id'],)) |
|
233 | rows_points = cursor_system.fetchall() |
|
234 | if rows_points is not None and len(rows_points) > 0: |
|
235 | for row in rows_points: |
|
236 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
|
237 | ||
238 | ################################################################################################################ |
|
239 | # Step 5: query associated points |
|
240 | ################################################################################################################ |
|
241 | cursor_system.execute(" SELECT p.id, p.name, p.units, p.object_type " |
|
242 | " FROM tbl_stores s, tbl_stores_points sp, tbl_points p " |
|
243 | " WHERE s.id = %s AND s.id = sp.store_id AND sp.point_id = p.id " |
|
244 | " ORDER BY p.id ", (store['id'],)) |
|
245 | rows_points = cursor_system.fetchall() |
|
246 | if rows_points is not None and len(rows_points) > 0: |
|
247 | for row in rows_points: |
|
248 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
|
249 | ||
250 | ################################################################################################################ |
|
251 | # Step 6: query base period energy input |
|
252 | ################################################################################################################ |
|
253 | base = dict() |
|
254 | if energy_item_set is not None and len(energy_item_set) > 0: |
|
255 | for energy_item_id in energy_item_set: |
|
256 | base[energy_item_id] = dict() |
|
257 | base[energy_item_id]['timestamps'] = list() |
|
258 | base[energy_item_id]['values'] = list() |
|
259 | base[energy_item_id]['subtotal'] = Decimal(0.0) |
|
260 | ||
261 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
262 | " FROM tbl_store_input_item_hourly " |
|
263 | " WHERE store_id = %s " |
|
264 | " AND energy_item_id = %s " |
|
265 | " AND start_datetime_utc >= %s " |
|
266 | " AND start_datetime_utc < %s " |
|
267 | " ORDER BY start_datetime_utc ", |
|
268 | (store['id'], |
|
269 | energy_item_id, |
|
270 | base_start_datetime_utc, |
|
271 | base_end_datetime_utc)) |
|
272 | rows_store_hourly = cursor_energy.fetchall() |
|
273 | ||
274 | rows_store_periodically = utilities.aggregate_hourly_data_by_period(rows_store_hourly, |
|
275 | base_start_datetime_utc, |
|
276 | base_end_datetime_utc, |
|
277 | period_type) |
|
278 | for row_store_periodically in rows_store_periodically: |
|
279 | current_datetime_local = row_store_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
280 | timedelta(minutes=timezone_offset) |
|
281 | if period_type == 'hourly': |
|
282 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
283 | elif period_type == 'daily': |
|
284 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
|
285 | elif period_type == 'monthly': |
|
286 | current_datetime = current_datetime_local.strftime('%Y-%m') |
|
287 | elif period_type == 'yearly': |
|
288 | current_datetime = current_datetime_local.strftime('%Y') |
|
289 | ||
290 | actual_value = Decimal(0.0) if row_store_periodically[1] is None else row_store_periodically[1] |
|
291 | base[energy_item_id]['timestamps'].append(current_datetime) |
|
292 | base[energy_item_id]['values'].append(actual_value) |
|
293 | base[energy_item_id]['subtotal'] += actual_value |
|
294 | ||
295 | ################################################################################################################ |
|
296 | # Step 7: query reporting period energy input |
|
297 | ################################################################################################################ |
|
298 | reporting = dict() |
|
299 | if energy_item_set is not None and len(energy_item_set) > 0: |
|
300 | for energy_item_id in energy_item_set: |
|
301 | reporting[energy_item_id] = dict() |
|
302 | reporting[energy_item_id]['timestamps'] = list() |
|
303 | reporting[energy_item_id]['values'] = list() |
|
304 | reporting[energy_item_id]['subtotal'] = Decimal(0.0) |
|
305 | reporting[energy_item_id]['toppeak'] = Decimal(0.0) |
|
306 | reporting[energy_item_id]['onpeak'] = Decimal(0.0) |
|
307 | reporting[energy_item_id]['midpeak'] = Decimal(0.0) |
|
308 | reporting[energy_item_id]['offpeak'] = Decimal(0.0) |
|
309 | ||
310 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
311 | " FROM tbl_store_input_item_hourly " |
|
312 | " WHERE store_id = %s " |
|
313 | " AND energy_item_id = %s " |
|
314 | " AND start_datetime_utc >= %s " |
|
315 | " AND start_datetime_utc < %s " |
|
316 | " ORDER BY start_datetime_utc ", |
|
317 | (store['id'], |
|
318 | energy_item_id, |
|
319 | reporting_start_datetime_utc, |
|
320 | reporting_end_datetime_utc)) |
|
321 | rows_store_hourly = cursor_energy.fetchall() |
|
322 | ||
323 | rows_store_periodically = utilities.aggregate_hourly_data_by_period(rows_store_hourly, |
|
324 | reporting_start_datetime_utc, |
|
325 | reporting_end_datetime_utc, |
|
326 | period_type) |
|
327 | for row_store_periodically in rows_store_periodically: |
|
328 | current_datetime_local = row_store_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
329 | timedelta(minutes=timezone_offset) |
|
330 | if period_type == 'hourly': |
|
331 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
332 | elif period_type == 'daily': |
|
333 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
|
334 | elif period_type == 'monthly': |
|
335 | current_datetime = current_datetime_local.strftime('%Y-%m') |
|
336 | elif period_type == 'yearly': |
|
337 | current_datetime = current_datetime_local.strftime('%Y') |
|
338 | ||
339 | actual_value = Decimal(0.0) if row_store_periodically[1] is None else row_store_periodically[1] |
|
340 | reporting[energy_item_id]['timestamps'].append(current_datetime) |
|
341 | reporting[energy_item_id]['values'].append(actual_value) |
|
342 | reporting[energy_item_id]['subtotal'] += actual_value |
|
343 | ||
344 | energy_category_tariff_dict = \ |
|
345 | utilities.get_energy_category_peak_types(store['cost_center_id'], |
|
346 | energy_item_dict[energy_item_id]['energy_category_id'], |
|
347 | reporting_start_datetime_utc, |
|
348 | reporting_end_datetime_utc) |
|
349 | for row in rows_store_hourly: |
|
350 | peak_type = energy_category_tariff_dict.get(row[0], None) |
|
351 | if peak_type == 'toppeak': |
|
352 | reporting[energy_item_id]['toppeak'] += row[1] |
|
353 | elif peak_type == 'onpeak': |
|
354 | reporting[energy_item_id]['onpeak'] += row[1] |
|
355 | elif peak_type == 'midpeak': |
|
356 | reporting[energy_item_id]['midpeak'] += row[1] |
|
357 | elif peak_type == 'offpeak': |
|
358 | reporting[energy_item_id]['offpeak'] += row[1] |
|
359 | ||
360 | ################################################################################################################ |
|
361 | # Step 8: query tariff data |
|
362 | ################################################################################################################ |
|
363 | parameters_data = dict() |
|
364 | parameters_data['names'] = list() |
|
365 | parameters_data['timestamps'] = list() |
|
366 | parameters_data['values'] = list() |
|
367 | if energy_item_set is not None and len(energy_item_set) > 0: |
|
368 | for energy_item_id in energy_item_set: |
|
369 | energy_category_tariff_dict = \ |
|
370 | utilities.get_energy_category_tariffs(store['cost_center_id'], |
|
371 | energy_item_dict[energy_item_id]['energy_category_id'], |
|
372 | reporting_start_datetime_utc, |
|
373 | reporting_end_datetime_utc) |
|
374 | tariff_timestamp_list = list() |
|
375 | tariff_value_list = list() |
|
376 | for k, v in energy_category_tariff_dict.items(): |
|
377 | # convert k from utc to local |
|
378 | k = k + timedelta(minutes=timezone_offset) |
|
379 | tariff_timestamp_list.append(k.isoformat()[0:19][0:19]) |
|
380 | tariff_value_list.append(v) |
|
381 | ||
382 | parameters_data['names'].append('TARIFF-' + energy_item_dict[energy_item_id]['name']) |
|
383 | parameters_data['timestamps'].append(tariff_timestamp_list) |
|
384 | parameters_data['values'].append(tariff_value_list) |
|
385 | ||
386 | ################################################################################################################ |
|
387 | # Step 9: query associated sensors and points data |
|
388 | ################################################################################################################ |
|
389 | for point in point_list: |
|
390 | point_values = [] |
|
391 | point_timestamps = [] |
|
392 | if point['object_type'] == 'ANALOG_VALUE': |
|
393 | query = (" SELECT utc_date_time, actual_value " |
|
394 | " FROM tbl_analog_value " |
|
395 | " WHERE point_id = %s " |
|
396 | " AND utc_date_time BETWEEN %s AND %s " |
|
397 | " ORDER BY utc_date_time ") |
|
398 | cursor_historical.execute(query, (point['id'], |
|
399 | reporting_start_datetime_utc, |
|
400 | reporting_end_datetime_utc)) |
|
401 | rows = cursor_historical.fetchall() |
|
402 | ||
403 | if rows is not None and len(rows) > 0: |
|
404 | for row in rows: |
|
405 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
406 | timedelta(minutes=timezone_offset) |
|
407 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
408 | point_timestamps.append(current_datetime) |
|
409 | point_values.append(row[1]) |
|
410 | ||
411 | elif point['object_type'] == 'ENERGY_VALUE': |
|
412 | query = (" SELECT utc_date_time, actual_value " |
|
413 | " FROM tbl_energy_value " |
|
414 | " WHERE point_id = %s " |
|
415 | " AND utc_date_time BETWEEN %s AND %s " |
|
416 | " ORDER BY utc_date_time ") |
|
417 | cursor_historical.execute(query, (point['id'], |
|
418 | reporting_start_datetime_utc, |
|
419 | reporting_end_datetime_utc)) |
|
420 | rows = cursor_historical.fetchall() |
|
421 | ||
422 | if rows is not None and len(rows) > 0: |
|
423 | for row in rows: |
|
424 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
425 | timedelta(minutes=timezone_offset) |
|
426 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
427 | point_timestamps.append(current_datetime) |
|
428 | point_values.append(row[1]) |
|
429 | elif point['object_type'] == 'DIGITAL_VALUE': |
|
430 | query = (" SELECT utc_date_time, actual_value " |
|
431 | " FROM tbl_digital_value " |
|
432 | " WHERE point_id = %s " |
|
433 | " AND utc_date_time BETWEEN %s AND %s ") |
|
434 | cursor_historical.execute(query, (point['id'], |
|
435 | reporting_start_datetime_utc, |
|
436 | reporting_end_datetime_utc)) |
|
437 | rows = cursor_historical.fetchall() |
|
438 | ||
439 | if rows is not None and len(rows) > 0: |
|
440 | for row in rows: |
|
441 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
442 | timedelta(minutes=timezone_offset) |
|
443 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
444 | point_timestamps.append(current_datetime) |
|
445 | point_values.append(row[1]) |
|
446 | ||
447 | parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') |
|
448 | parameters_data['timestamps'].append(point_timestamps) |
|
449 | parameters_data['values'].append(point_values) |
|
450 | ||
451 | ################################################################################################################ |
|
452 | # Step 10: construct the report |
|
453 | ################################################################################################################ |
|
454 | if cursor_system: |
|
455 | cursor_system.close() |
|
456 | if cnx_system: |
|
457 | cnx_system.disconnect() |
|
458 | ||
459 | if cursor_energy: |
|
460 | cursor_energy.close() |
|
461 | if cnx_energy: |
|
462 | cnx_energy.disconnect() |
|
463 | ||
464 | result = dict() |
|
465 | ||
466 | result['store'] = dict() |
|
467 | result['store']['name'] = store['name'] |
|
468 | result['store']['area'] = store['area'] |
|
469 | ||
470 | result['base_period'] = dict() |
|
471 | result['base_period']['names'] = list() |
|
472 | result['base_period']['units'] = list() |
|
473 | result['base_period']['timestamps'] = list() |
|
474 | result['base_period']['values'] = list() |
|
475 | result['base_period']['subtotals'] = list() |
|
476 | if energy_item_set is not None and len(energy_item_set) > 0: |
|
477 | for energy_item_id in energy_item_set: |
|
478 | result['base_period']['names'].append(energy_item_dict[energy_item_id]['name']) |
|
479 | result['base_period']['units'].append(energy_item_dict[energy_item_id]['unit_of_measure']) |
|
480 | result['base_period']['timestamps'].append(base[energy_item_id]['timestamps']) |
|
481 | result['base_period']['values'].append(base[energy_item_id]['values']) |
|
482 | result['base_period']['subtotals'].append(base[energy_item_id]['subtotal']) |
|
483 | ||
484 | result['reporting_period'] = dict() |
|
485 | result['reporting_period']['names'] = list() |
|
486 | result['reporting_period']['energy_item_ids'] = list() |
|
487 | result['reporting_period']['energy_category_names'] = list() |
|
488 | result['reporting_period']['energy_category_ids'] = list() |
|
489 | result['reporting_period']['units'] = list() |
|
490 | result['reporting_period']['timestamps'] = list() |
|
491 | result['reporting_period']['values'] = list() |
|
492 | result['reporting_period']['subtotals'] = list() |
|
493 | result['reporting_period']['subtotals_per_unit_area'] = list() |
|
494 | result['reporting_period']['toppeaks'] = list() |
|
495 | result['reporting_period']['onpeaks'] = list() |
|
496 | result['reporting_period']['midpeaks'] = list() |
|
497 | result['reporting_period']['offpeaks'] = list() |
|
498 | result['reporting_period']['increment_rates'] = list() |
|
499 | ||
500 | if energy_item_set is not None and len(energy_item_set) > 0: |
|
501 | for energy_item_id in energy_item_set: |
|
502 | result['reporting_period']['names'].append(energy_item_dict[energy_item_id]['name']) |
|
503 | result['reporting_period']['energy_item_ids'].append(energy_item_id) |
|
504 | result['reporting_period']['energy_category_names'].append( |
|
505 | energy_item_dict[energy_item_id]['energy_category_name']) |
|
506 | result['reporting_period']['energy_category_ids'].append( |
|
507 | energy_item_dict[energy_item_id]['energy_category_id']) |
|
508 | result['reporting_period']['units'].append(energy_item_dict[energy_item_id]['unit_of_measure']) |
|
509 | result['reporting_period']['timestamps'].append(reporting[energy_item_id]['timestamps']) |
|
510 | result['reporting_period']['values'].append(reporting[energy_item_id]['values']) |
|
511 | result['reporting_period']['subtotals'].append(reporting[energy_item_id]['subtotal']) |
|
512 | result['reporting_period']['subtotals_per_unit_area'].append( |
|
513 | reporting[energy_item_id]['subtotal'] / store['area'] if store['area'] > 0.0 else None) |
|
514 | result['reporting_period']['toppeaks'].append(reporting[energy_item_id]['toppeak']) |
|
515 | result['reporting_period']['onpeaks'].append(reporting[energy_item_id]['onpeak']) |
|
516 | result['reporting_period']['midpeaks'].append(reporting[energy_item_id]['midpeak']) |
|
517 | result['reporting_period']['offpeaks'].append(reporting[energy_item_id]['offpeak']) |
|
518 | result['reporting_period']['increment_rates'].append( |
|
519 | (reporting[energy_item_id]['subtotal'] - base[energy_item_id]['subtotal']) / |
|
520 | base[energy_item_id]['subtotal'] |
|
521 | if base[energy_item_id]['subtotal'] > 0.0 else None) |
|
522 | ||
523 | result['parameters'] = { |
|
524 | "names": parameters_data['names'], |
|
525 | "timestamps": parameters_data['timestamps'], |
|
526 | "values": parameters_data['values'] |
|
527 | } |
|
528 | ||
529 | # export result to Excel file and then encode the file to base64 string |
|
530 | result['excel_bytes_base64'] = excelexporters.storeenergyitem.export(result, |
|
531 | store['name'], |
|
532 | reporting_start_datetime_local, |
|
533 | reporting_end_datetime_local, |
|
534 | period_type) |
|
535 | ||
536 | resp.body = json.dumps(result) |
|
537 |