@@ 11-539 (lines=529) @@ | ||
8 | import excelexporters.tenantcost |
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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 categories |
|
25 | # Step 4: query associated sensors |
|
26 | # Step 5: query associated points |
|
27 | # Step 6: query base period energy cost |
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28 | # Step 7: query reporting period energy cost |
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29 | # Step 8: query tariff data |
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30 | # Step 9: query associated sensors and points data |
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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') |
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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) |
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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 | ################################################################################################################ |
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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_billing = mysql.connector.connect(**config.myems_billing_db) |
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128 | cursor_billing = cnx_billing.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_billing: |
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144 | cursor_billing.close() |
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145 | if cnx_billing: |
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146 | cnx_billing.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 categories |
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162 | ################################################################################################################ |
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163 | energy_category_set = set() |
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164 | # query energy categories in base period |
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165 | cursor_billing.execute(" SELECT DISTINCT(energy_category_id) " |
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166 | " FROM tbl_tenant_input_category_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)) |
|
171 | rows_energy_categories = cursor_billing.fetchall() |
|
172 | if rows_energy_categories is not None or len(rows_energy_categories) > 0: |
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173 | for row_energy_category in rows_energy_categories: |
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174 | energy_category_set.add(row_energy_category[0]) |
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175 | ||
176 | # query energy categories in reporting period |
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177 | cursor_billing.execute(" SELECT DISTINCT(energy_category_id) " |
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178 | " FROM tbl_tenant_input_category_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)) |
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183 | rows_energy_categories = cursor_billing.fetchall() |
|
184 | if rows_energy_categories is not None or len(rows_energy_categories) > 0: |
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185 | for row_energy_category in rows_energy_categories: |
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186 | energy_category_set.add(row_energy_category[0]) |
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187 | ||
188 | # query all energy categories in base period and reporting period |
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189 | cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e " |
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190 | " FROM tbl_energy_categories " |
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191 | " ORDER BY id ", ) |
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192 | rows_energy_categories = cursor_system.fetchall() |
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193 | if rows_energy_categories is None or len(rows_energy_categories) == 0: |
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194 | if cursor_system: |
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195 | cursor_system.close() |
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196 | if cnx_system: |
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197 | cnx_system.disconnect() |
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198 | ||
199 | if cursor_billing: |
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200 | cursor_billing.close() |
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201 | if cnx_billing: |
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202 | cnx_billing.disconnect() |
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203 | ||
204 | if cnx_historical: |
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205 | cnx_historical.close() |
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206 | if cursor_historical: |
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207 | cursor_historical.disconnect() |
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208 | raise falcon.HTTPError(falcon.HTTP_404, |
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209 | title='API.NOT_FOUND', |
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210 | description='API.ENERGY_CATEGORY_NOT_FOUND') |
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211 | energy_category_dict = dict() |
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212 | for row_energy_category in rows_energy_categories: |
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213 | if row_energy_category[0] in energy_category_set: |
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214 | energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1], |
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215 | "unit_of_measure": row_energy_category[2], |
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216 | "kgce": row_energy_category[3], |
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217 | "kgco2e": row_energy_category[4]} |
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218 | ||
219 | ################################################################################################################ |
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220 | # Step 4: query associated sensors |
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221 | ################################################################################################################ |
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222 | point_list = list() |
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223 | cursor_system.execute(" SELECT p.id, p.name, p.units, p.object_type " |
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224 | " FROM tbl_tenants t, tbl_sensors s, tbl_tenants_sensors ts, " |
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225 | " tbl_points p, tbl_sensors_points sp " |
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226 | " WHERE t.id = %s AND t.id = ts.tenant_id AND ts.sensor_id = s.id " |
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227 | " AND s.id = sp.sensor_id AND sp.point_id = p.id " |
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228 | " ORDER BY p.id ", (tenant['id'], )) |
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229 | rows_points = cursor_system.fetchall() |
|
230 | if rows_points is not None and len(rows_points) > 0: |
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231 | for row in rows_points: |
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232 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
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233 | ||
234 | ################################################################################################################ |
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235 | # Step 5: query associated points |
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236 | ################################################################################################################ |
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237 | cursor_system.execute(" SELECT p.id, p.name, p.units, p.object_type " |
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238 | " FROM tbl_tenants t, tbl_tenants_points tp, tbl_points p " |
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239 | " WHERE t.id = %s AND t.id = tp.tenant_id AND tp.point_id = p.id " |
|
240 | " ORDER BY p.id ", (tenant['id'], )) |
|
241 | rows_points = cursor_system.fetchall() |
|
242 | if rows_points is not None and len(rows_points) > 0: |
|
243 | for row in rows_points: |
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244 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
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245 | ||
246 | ################################################################################################################ |
|
247 | # Step 6: query base period energy cost |
|
248 | ################################################################################################################ |
|
249 | base = dict() |
|
250 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
251 | for energy_category_id in energy_category_set: |
|
252 | base[energy_category_id] = dict() |
|
253 | base[energy_category_id]['timestamps'] = list() |
|
254 | base[energy_category_id]['values'] = list() |
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255 | base[energy_category_id]['subtotal'] = Decimal(0.0) |
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256 | ||
257 | cursor_billing.execute(" SELECT start_datetime_utc, actual_value " |
|
258 | " FROM tbl_tenant_input_category_hourly " |
|
259 | " WHERE tenant_id = %s " |
|
260 | " AND energy_category_id = %s " |
|
261 | " AND start_datetime_utc >= %s " |
|
262 | " AND start_datetime_utc < %s " |
|
263 | " ORDER BY start_datetime_utc ", |
|
264 | (tenant['id'], |
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265 | energy_category_id, |
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266 | base_start_datetime_utc, |
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267 | base_end_datetime_utc)) |
|
268 | rows_tenant_hourly = cursor_billing.fetchall() |
|
269 | ||
270 | rows_tenant_periodically = utilities.aggregate_hourly_data_by_period(rows_tenant_hourly, |
|
271 | base_start_datetime_utc, |
|
272 | base_end_datetime_utc, |
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273 | period_type) |
|
274 | for row_tenant_periodically in rows_tenant_periodically: |
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275 | current_datetime_local = row_tenant_periodically[0].replace(tzinfo=timezone.utc) + \ |
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276 | timedelta(minutes=timezone_offset) |
|
277 | if period_type == 'hourly': |
|
278 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
279 | elif period_type == 'daily': |
|
280 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
|
281 | elif period_type == 'monthly': |
|
282 | current_datetime = current_datetime_local.strftime('%Y-%m') |
|
283 | elif period_type == 'yearly': |
|
284 | current_datetime = current_datetime_local.strftime('%Y') |
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285 | ||
286 | actual_value = Decimal(0.0) if row_tenant_periodically[1] is None else row_tenant_periodically[1] |
|
287 | base[energy_category_id]['timestamps'].append(current_datetime) |
|
288 | base[energy_category_id]['values'].append(actual_value) |
|
289 | base[energy_category_id]['subtotal'] += actual_value |
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290 | ||
291 | ################################################################################################################ |
|
292 | # Step 7: query reporting period energy cost |
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293 | ################################################################################################################ |
|
294 | reporting = dict() |
|
295 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
296 | for energy_category_id in energy_category_set: |
|
297 | reporting[energy_category_id] = dict() |
|
298 | reporting[energy_category_id]['timestamps'] = list() |
|
299 | reporting[energy_category_id]['values'] = list() |
|
300 | reporting[energy_category_id]['subtotal'] = Decimal(0.0) |
|
301 | reporting[energy_category_id]['toppeak'] = Decimal(0.0) |
|
302 | reporting[energy_category_id]['onpeak'] = Decimal(0.0) |
|
303 | reporting[energy_category_id]['midpeak'] = Decimal(0.0) |
|
304 | reporting[energy_category_id]['offpeak'] = Decimal(0.0) |
|
305 | ||
306 | cursor_billing.execute(" SELECT start_datetime_utc, actual_value " |
|
307 | " FROM tbl_tenant_input_category_hourly " |
|
308 | " WHERE tenant_id = %s " |
|
309 | " AND energy_category_id = %s " |
|
310 | " AND start_datetime_utc >= %s " |
|
311 | " AND start_datetime_utc < %s " |
|
312 | " ORDER BY start_datetime_utc ", |
|
313 | (tenant['id'], |
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314 | energy_category_id, |
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315 | reporting_start_datetime_utc, |
|
316 | reporting_end_datetime_utc)) |
|
317 | rows_tenant_hourly = cursor_billing.fetchall() |
|
318 | ||
319 | rows_tenant_periodically = utilities.aggregate_hourly_data_by_period(rows_tenant_hourly, |
|
320 | reporting_start_datetime_utc, |
|
321 | reporting_end_datetime_utc, |
|
322 | period_type) |
|
323 | for row_tenant_periodically in rows_tenant_periodically: |
|
324 | current_datetime_local = row_tenant_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
325 | timedelta(minutes=timezone_offset) |
|
326 | if period_type == 'hourly': |
|
327 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
328 | elif period_type == 'daily': |
|
329 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
|
330 | elif period_type == 'monthly': |
|
331 | current_datetime = current_datetime_local.strftime('%Y-%m') |
|
332 | elif period_type == 'yearly': |
|
333 | current_datetime = current_datetime_local.strftime('%Y') |
|
334 | ||
335 | actual_value = Decimal(0.0) if row_tenant_periodically[1] is None else row_tenant_periodically[1] |
|
336 | reporting[energy_category_id]['timestamps'].append(current_datetime) |
|
337 | reporting[energy_category_id]['values'].append(actual_value) |
|
338 | reporting[energy_category_id]['subtotal'] += actual_value |
|
339 | ||
340 | energy_category_tariff_dict = utilities.get_energy_category_peak_types(tenant['cost_center_id'], |
|
341 | energy_category_id, |
|
342 | reporting_start_datetime_utc, |
|
343 | reporting_end_datetime_utc) |
|
344 | for row in rows_tenant_hourly: |
|
345 | peak_type = energy_category_tariff_dict.get(row[0], None) |
|
346 | if peak_type == 'toppeak': |
|
347 | reporting[energy_category_id]['toppeak'] += row[1] |
|
348 | elif peak_type == 'onpeak': |
|
349 | reporting[energy_category_id]['onpeak'] += row[1] |
|
350 | elif peak_type == 'midpeak': |
|
351 | reporting[energy_category_id]['midpeak'] += row[1] |
|
352 | elif peak_type == 'offpeak': |
|
353 | reporting[energy_category_id]['offpeak'] += row[1] |
|
354 | ||
355 | ################################################################################################################ |
|
356 | # Step 8: query tariff data |
|
357 | ################################################################################################################ |
|
358 | parameters_data = dict() |
|
359 | parameters_data['names'] = list() |
|
360 | parameters_data['timestamps'] = list() |
|
361 | parameters_data['values'] = list() |
|
362 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
363 | for energy_category_id in energy_category_set: |
|
364 | energy_category_tariff_dict = utilities.get_energy_category_tariffs(tenant['cost_center_id'], |
|
365 | energy_category_id, |
|
366 | reporting_start_datetime_utc, |
|
367 | reporting_end_datetime_utc) |
|
368 | tariff_timestamp_list = list() |
|
369 | tariff_value_list = list() |
|
370 | for k, v in energy_category_tariff_dict.items(): |
|
371 | # convert k from utc to local |
|
372 | k = k + timedelta(minutes=timezone_offset) |
|
373 | tariff_timestamp_list.append(k.isoformat()[0:19][0:19]) |
|
374 | tariff_value_list.append(v) |
|
375 | ||
376 | parameters_data['names'].append('TARIFF-' + energy_category_dict[energy_category_id]['name']) |
|
377 | parameters_data['timestamps'].append(tariff_timestamp_list) |
|
378 | parameters_data['values'].append(tariff_value_list) |
|
379 | ||
380 | ################################################################################################################ |
|
381 | # Step 9: query associated sensors and points data |
|
382 | ################################################################################################################ |
|
383 | for point in point_list: |
|
384 | point_values = [] |
|
385 | point_timestamps = [] |
|
386 | if point['object_type'] == 'ANALOG_VALUE': |
|
387 | query = (" SELECT utc_date_time, actual_value " |
|
388 | " FROM tbl_analog_value " |
|
389 | " WHERE point_id = %s " |
|
390 | " AND utc_date_time BETWEEN %s AND %s " |
|
391 | " ORDER BY utc_date_time ") |
|
392 | cursor_historical.execute(query, (point['id'], |
|
393 | reporting_start_datetime_utc, |
|
394 | reporting_end_datetime_utc)) |
|
395 | rows = cursor_historical.fetchall() |
|
396 | ||
397 | if rows is not None and len(rows) > 0: |
|
398 | for row in rows: |
|
399 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
400 | timedelta(minutes=timezone_offset) |
|
401 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
402 | point_timestamps.append(current_datetime) |
|
403 | point_values.append(row[1]) |
|
404 | ||
405 | elif point['object_type'] == 'ENERGY_VALUE': |
|
406 | query = (" SELECT utc_date_time, actual_value " |
|
407 | " FROM tbl_energy_value " |
|
408 | " WHERE point_id = %s " |
|
409 | " AND utc_date_time BETWEEN %s AND %s " |
|
410 | " ORDER BY utc_date_time ") |
|
411 | cursor_historical.execute(query, (point['id'], |
|
412 | reporting_start_datetime_utc, |
|
413 | reporting_end_datetime_utc)) |
|
414 | rows = cursor_historical.fetchall() |
|
415 | ||
416 | if rows is not None and len(rows) > 0: |
|
417 | for row in rows: |
|
418 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
419 | timedelta(minutes=timezone_offset) |
|
420 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
421 | point_timestamps.append(current_datetime) |
|
422 | point_values.append(row[1]) |
|
423 | elif point['object_type'] == 'DIGITAL_VALUE': |
|
424 | query = (" SELECT utc_date_time, actual_value " |
|
425 | " FROM tbl_digital_value " |
|
426 | " WHERE point_id = %s " |
|
427 | " AND utc_date_time BETWEEN %s AND %s ") |
|
428 | cursor_historical.execute(query, (point['id'], |
|
429 | reporting_start_datetime_utc, |
|
430 | reporting_end_datetime_utc)) |
|
431 | rows = cursor_historical.fetchall() |
|
432 | ||
433 | if rows is not None and len(rows) > 0: |
|
434 | for row in rows: |
|
435 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
436 | timedelta(minutes=timezone_offset) |
|
437 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
438 | point_timestamps.append(current_datetime) |
|
439 | point_values.append(row[1]) |
|
440 | ||
441 | parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') |
|
442 | parameters_data['timestamps'].append(point_timestamps) |
|
443 | parameters_data['values'].append(point_values) |
|
444 | ||
445 | ################################################################################################################ |
|
446 | # Step 10: construct the report |
|
447 | ################################################################################################################ |
|
448 | if cursor_system: |
|
449 | cursor_system.close() |
|
450 | if cnx_system: |
|
451 | cnx_system.disconnect() |
|
452 | ||
453 | if cursor_billing: |
|
454 | cursor_billing.close() |
|
455 | if cnx_billing: |
|
456 | cnx_billing.disconnect() |
|
457 | ||
458 | result = dict() |
|
459 | ||
460 | result['tenant'] = dict() |
|
461 | result['tenant']['name'] = tenant['name'] |
|
462 | result['tenant']['area'] = tenant['area'] |
|
463 | ||
464 | result['base_period'] = dict() |
|
465 | result['base_period']['names'] = list() |
|
466 | result['base_period']['units'] = list() |
|
467 | result['base_period']['timestamps'] = list() |
|
468 | result['base_period']['values'] = list() |
|
469 | result['base_period']['subtotals'] = list() |
|
470 | result['base_period']['total'] = Decimal(0.0) |
|
471 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
472 | for energy_category_id in energy_category_set: |
|
473 | result['base_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
474 | result['base_period']['units'].append(config.currency_unit) |
|
475 | result['base_period']['timestamps'].append(base[energy_category_id]['timestamps']) |
|
476 | result['base_period']['values'].append(base[energy_category_id]['values']) |
|
477 | result['base_period']['subtotals'].append(base[energy_category_id]['subtotal']) |
|
478 | result['base_period']['total'] += base[energy_category_id]['subtotal'] |
|
479 | ||
480 | result['reporting_period'] = dict() |
|
481 | result['reporting_period']['names'] = list() |
|
482 | result['reporting_period']['energy_category_ids'] = list() |
|
483 | result['reporting_period']['units'] = list() |
|
484 | result['reporting_period']['timestamps'] = list() |
|
485 | result['reporting_period']['values'] = list() |
|
486 | result['reporting_period']['subtotals'] = list() |
|
487 | result['reporting_period']['subtotals_per_unit_area'] = list() |
|
488 | result['reporting_period']['toppeaks'] = list() |
|
489 | result['reporting_period']['onpeaks'] = list() |
|
490 | result['reporting_period']['midpeaks'] = list() |
|
491 | result['reporting_period']['offpeaks'] = list() |
|
492 | result['reporting_period']['increment_rates'] = list() |
|
493 | result['reporting_period']['total'] = Decimal(0.0) |
|
494 | result['reporting_period']['total_per_unit_area'] = Decimal(0.0) |
|
495 | result['reporting_period']['total_increment_rate'] = Decimal(0.0) |
|
496 | result['reporting_period']['total_unit'] = config.currency_unit |
|
497 | ||
498 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
499 | for energy_category_id in energy_category_set: |
|
500 | result['reporting_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
501 | result['reporting_period']['energy_category_ids'].append(energy_category_id) |
|
502 | result['reporting_period']['units'].append(config.currency_unit) |
|
503 | result['reporting_period']['timestamps'].append(reporting[energy_category_id]['timestamps']) |
|
504 | result['reporting_period']['values'].append(reporting[energy_category_id]['values']) |
|
505 | result['reporting_period']['subtotals'].append(reporting[energy_category_id]['subtotal']) |
|
506 | result['reporting_period']['subtotals_per_unit_area'].append( |
|
507 | reporting[energy_category_id]['subtotal'] / tenant['area'] if tenant['area'] > 0.0 else None) |
|
508 | result['reporting_period']['toppeaks'].append(reporting[energy_category_id]['toppeak']) |
|
509 | result['reporting_period']['onpeaks'].append(reporting[energy_category_id]['onpeak']) |
|
510 | result['reporting_period']['midpeaks'].append(reporting[energy_category_id]['midpeak']) |
|
511 | result['reporting_period']['offpeaks'].append(reporting[energy_category_id]['offpeak']) |
|
512 | result['reporting_period']['increment_rates'].append( |
|
513 | (reporting[energy_category_id]['subtotal'] - base[energy_category_id]['subtotal']) / |
|
514 | base[energy_category_id]['subtotal'] |
|
515 | if base[energy_category_id]['subtotal'] > 0.0 else None) |
|
516 | result['reporting_period']['total'] += reporting[energy_category_id]['subtotal'] |
|
517 | ||
518 | result['reporting_period']['total_per_unit_area'] = \ |
|
519 | result['reporting_period']['total'] / tenant['area'] if tenant['area'] > 0.0 else None |
|
520 | ||
521 | result['reporting_period']['total_increment_rate'] = \ |
|
522 | (result['reporting_period']['total'] - result['base_period']['total']) / \ |
|
523 | result['base_period']['total'] \ |
|
524 | if result['base_period']['total'] > Decimal(0.0) else None |
|
525 | ||
526 | result['parameters'] = { |
|
527 | "names": parameters_data['names'], |
|
528 | "timestamps": parameters_data['timestamps'], |
|
529 | "values": parameters_data['values'] |
|
530 | } |
|
531 | ||
532 | # export result to Excel file and then encode the file to base64 string |
|
533 | result['excel_bytes_base64'] = excelexporters.tenantcost.export(result, |
|
534 | tenant['name'], |
|
535 | reporting_start_datetime_local, |
|
536 | reporting_end_datetime_local, |
|
537 | period_type) |
|
538 | ||
539 | resp.body = json.dumps(result) |
|
540 |
@@ 11-537 (lines=527) @@ | ||
8 | import excelexporters.storecost |
|
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 categories |
|
25 | # Step 4: query associated sensors |
|
26 | # Step 5: query associated points |
|
27 | # Step 6: query base period energy cost |
|
28 | # Step 7: query reporting period energy cost |
|
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_billing = mysql.connector.connect(**config.myems_billing_db) |
|
128 | cursor_billing = cnx_billing.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_billing: |
|
144 | cursor_billing.close() |
|
145 | if cnx_billing: |
|
146 | cnx_billing.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 categories |
|
162 | ################################################################################################################ |
|
163 | energy_category_set = set() |
|
164 | # query energy categories in base period |
|
165 | cursor_billing.execute(" SELECT DISTINCT(energy_category_id) " |
|
166 | " FROM tbl_store_input_category_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_categories = cursor_billing.fetchall() |
|
172 | if rows_energy_categories is not None or len(rows_energy_categories) > 0: |
|
173 | for row_energy_category in rows_energy_categories: |
|
174 | energy_category_set.add(row_energy_category[0]) |
|
175 | ||
176 | # query energy categories in reporting period |
|
177 | cursor_billing.execute(" SELECT DISTINCT(energy_category_id) " |
|
178 | " FROM tbl_store_input_category_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_categories = cursor_billing.fetchall() |
|
184 | if rows_energy_categories is not None or len(rows_energy_categories) > 0: |
|
185 | for row_energy_category in rows_energy_categories: |
|
186 | energy_category_set.add(row_energy_category[0]) |
|
187 | ||
188 | # query all energy categories in base period and reporting period |
|
189 | cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e " |
|
190 | " FROM tbl_energy_categories " |
|
191 | " ORDER BY id ", ) |
|
192 | rows_energy_categories = cursor_system.fetchall() |
|
193 | if rows_energy_categories is None or len(rows_energy_categories) == 0: |
|
194 | if cursor_system: |
|
195 | cursor_system.close() |
|
196 | if cnx_system: |
|
197 | cnx_system.disconnect() |
|
198 | ||
199 | if cursor_billing: |
|
200 | cursor_billing.close() |
|
201 | if cnx_billing: |
|
202 | cnx_billing.disconnect() |
|
203 | ||
204 | if cnx_historical: |
|
205 | cnx_historical.close() |
|
206 | if cursor_historical: |
|
207 | cursor_historical.disconnect() |
|
208 | raise falcon.HTTPError(falcon.HTTP_404, |
|
209 | title='API.NOT_FOUND', |
|
210 | description='API.ENERGY_CATEGORY_NOT_FOUND') |
|
211 | energy_category_dict = dict() |
|
212 | for row_energy_category in rows_energy_categories: |
|
213 | if row_energy_category[0] in energy_category_set: |
|
214 | energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1], |
|
215 | "unit_of_measure": row_energy_category[2], |
|
216 | "kgce": row_energy_category[3], |
|
217 | "kgco2e": row_energy_category[4]} |
|
218 | ||
219 | ################################################################################################################ |
|
220 | # Step 4: query associated sensors |
|
221 | ################################################################################################################ |
|
222 | point_list = list() |
|
223 | cursor_system.execute(" SELECT p.id, p.name, p.units, p.object_type " |
|
224 | " FROM tbl_stores st, tbl_sensors se, tbl_stores_sensors ss, " |
|
225 | " tbl_points p, tbl_sensors_points sp " |
|
226 | " WHERE st.id = %s AND st.id = ss.store_id AND ss.sensor_id = se.id " |
|
227 | " AND se.id = sp.sensor_id AND sp.point_id = p.id " |
|
228 | " ORDER BY p.id ", (store['id'], )) |
|
229 | rows_points = cursor_system.fetchall() |
|
230 | if rows_points is not None and len(rows_points) > 0: |
|
231 | for row in rows_points: |
|
232 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
|
233 | ||
234 | ################################################################################################################ |
|
235 | # Step 5: query associated points |
|
236 | ################################################################################################################ |
|
237 | cursor_system.execute(" SELECT p.id, p.name, p.units, p.object_type " |
|
238 | " FROM tbl_stores s, tbl_stores_points sp, tbl_points p " |
|
239 | " WHERE s.id = %s AND s.id = sp.store_id AND sp.point_id = p.id " |
|
240 | " ORDER BY p.id ", (store['id'], )) |
|
241 | rows_points = cursor_system.fetchall() |
|
242 | if rows_points is not None and len(rows_points) > 0: |
|
243 | for row in rows_points: |
|
244 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
|
245 | ||
246 | ################################################################################################################ |
|
247 | # Step 6: query base period energy cost |
|
248 | ################################################################################################################ |
|
249 | base = dict() |
|
250 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
251 | for energy_category_id in energy_category_set: |
|
252 | base[energy_category_id] = dict() |
|
253 | base[energy_category_id]['timestamps'] = list() |
|
254 | base[energy_category_id]['values'] = list() |
|
255 | base[energy_category_id]['subtotal'] = Decimal(0.0) |
|
256 | ||
257 | cursor_billing.execute(" SELECT start_datetime_utc, actual_value " |
|
258 | " FROM tbl_store_input_category_hourly " |
|
259 | " WHERE store_id = %s " |
|
260 | " AND energy_category_id = %s " |
|
261 | " AND start_datetime_utc >= %s " |
|
262 | " AND start_datetime_utc < %s " |
|
263 | " ORDER BY start_datetime_utc ", |
|
264 | (store['id'], |
|
265 | energy_category_id, |
|
266 | base_start_datetime_utc, |
|
267 | base_end_datetime_utc)) |
|
268 | rows_store_hourly = cursor_billing.fetchall() |
|
269 | ||
270 | rows_store_periodically = utilities.aggregate_hourly_data_by_period(rows_store_hourly, |
|
271 | base_start_datetime_utc, |
|
272 | base_end_datetime_utc, |
|
273 | period_type) |
|
274 | for row_store_periodically in rows_store_periodically: |
|
275 | current_datetime_local = row_store_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
276 | timedelta(minutes=timezone_offset) |
|
277 | if period_type == 'hourly': |
|
278 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
279 | elif period_type == 'daily': |
|
280 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
|
281 | elif period_type == 'monthly': |
|
282 | current_datetime = current_datetime_local.strftime('%Y-%m') |
|
283 | elif period_type == 'yearly': |
|
284 | current_datetime = current_datetime_local.strftime('%Y') |
|
285 | ||
286 | actual_value = Decimal(0.0) if row_store_periodically[1] is None else row_store_periodically[1] |
|
287 | base[energy_category_id]['timestamps'].append(current_datetime) |
|
288 | base[energy_category_id]['values'].append(actual_value) |
|
289 | base[energy_category_id]['subtotal'] += actual_value |
|
290 | ||
291 | ################################################################################################################ |
|
292 | # Step 7: query reporting period energy cost |
|
293 | ################################################################################################################ |
|
294 | reporting = dict() |
|
295 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
296 | for energy_category_id in energy_category_set: |
|
297 | reporting[energy_category_id] = dict() |
|
298 | reporting[energy_category_id]['timestamps'] = list() |
|
299 | reporting[energy_category_id]['values'] = list() |
|
300 | reporting[energy_category_id]['subtotal'] = Decimal(0.0) |
|
301 | reporting[energy_category_id]['toppeak'] = Decimal(0.0) |
|
302 | reporting[energy_category_id]['onpeak'] = Decimal(0.0) |
|
303 | reporting[energy_category_id]['midpeak'] = Decimal(0.0) |
|
304 | reporting[energy_category_id]['offpeak'] = Decimal(0.0) |
|
305 | ||
306 | cursor_billing.execute(" SELECT start_datetime_utc, actual_value " |
|
307 | " FROM tbl_store_input_category_hourly " |
|
308 | " WHERE store_id = %s " |
|
309 | " AND energy_category_id = %s " |
|
310 | " AND start_datetime_utc >= %s " |
|
311 | " AND start_datetime_utc < %s " |
|
312 | " ORDER BY start_datetime_utc ", |
|
313 | (store['id'], |
|
314 | energy_category_id, |
|
315 | reporting_start_datetime_utc, |
|
316 | reporting_end_datetime_utc)) |
|
317 | rows_store_hourly = cursor_billing.fetchall() |
|
318 | ||
319 | rows_store_periodically = utilities.aggregate_hourly_data_by_period(rows_store_hourly, |
|
320 | reporting_start_datetime_utc, |
|
321 | reporting_end_datetime_utc, |
|
322 | period_type) |
|
323 | for row_store_periodically in rows_store_periodically: |
|
324 | current_datetime_local = row_store_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
325 | timedelta(minutes=timezone_offset) |
|
326 | if period_type == 'hourly': |
|
327 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
328 | elif period_type == 'daily': |
|
329 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
|
330 | elif period_type == 'monthly': |
|
331 | current_datetime = current_datetime_local.strftime('%Y-%m') |
|
332 | elif period_type == 'yearly': |
|
333 | current_datetime = current_datetime_local.strftime('%Y') |
|
334 | ||
335 | actual_value = Decimal(0.0) if row_store_periodically[1] is None else row_store_periodically[1] |
|
336 | reporting[energy_category_id]['timestamps'].append(current_datetime) |
|
337 | reporting[energy_category_id]['values'].append(actual_value) |
|
338 | reporting[energy_category_id]['subtotal'] += actual_value |
|
339 | ||
340 | energy_category_tariff_dict = utilities.get_energy_category_peak_types(store['cost_center_id'], |
|
341 | energy_category_id, |
|
342 | reporting_start_datetime_utc, |
|
343 | reporting_end_datetime_utc) |
|
344 | for row in rows_store_hourly: |
|
345 | peak_type = energy_category_tariff_dict.get(row[0], None) |
|
346 | if peak_type == 'toppeak': |
|
347 | reporting[energy_category_id]['toppeak'] += row[1] |
|
348 | elif peak_type == 'onpeak': |
|
349 | reporting[energy_category_id]['onpeak'] += row[1] |
|
350 | elif peak_type == 'midpeak': |
|
351 | reporting[energy_category_id]['midpeak'] += row[1] |
|
352 | elif peak_type == 'offpeak': |
|
353 | reporting[energy_category_id]['offpeak'] += row[1] |
|
354 | ||
355 | ################################################################################################################ |
|
356 | # Step 8: query tariff data |
|
357 | ################################################################################################################ |
|
358 | parameters_data = dict() |
|
359 | parameters_data['names'] = list() |
|
360 | parameters_data['timestamps'] = list() |
|
361 | parameters_data['values'] = list() |
|
362 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
363 | for energy_category_id in energy_category_set: |
|
364 | energy_category_tariff_dict = utilities.get_energy_category_tariffs(store['cost_center_id'], |
|
365 | energy_category_id, |
|
366 | reporting_start_datetime_utc, |
|
367 | reporting_end_datetime_utc) |
|
368 | tariff_timestamp_list = list() |
|
369 | tariff_value_list = list() |
|
370 | for k, v in energy_category_tariff_dict.items(): |
|
371 | # convert k from utc to local |
|
372 | k = k + timedelta(minutes=timezone_offset) |
|
373 | tariff_timestamp_list.append(k.isoformat()[0:19][0:19]) |
|
374 | tariff_value_list.append(v) |
|
375 | ||
376 | parameters_data['names'].append('TARIFF-' + energy_category_dict[energy_category_id]['name']) |
|
377 | parameters_data['timestamps'].append(tariff_timestamp_list) |
|
378 | parameters_data['values'].append(tariff_value_list) |
|
379 | ||
380 | ################################################################################################################ |
|
381 | # Step 9: query associated sensors and points data |
|
382 | ################################################################################################################ |
|
383 | for point in point_list: |
|
384 | point_values = [] |
|
385 | point_timestamps = [] |
|
386 | if point['object_type'] == 'ANALOG_VALUE': |
|
387 | query = (" SELECT utc_date_time, actual_value " |
|
388 | " FROM tbl_analog_value " |
|
389 | " WHERE point_id = %s " |
|
390 | " AND utc_date_time BETWEEN %s AND %s " |
|
391 | " ORDER BY utc_date_time ") |
|
392 | cursor_historical.execute(query, (point['id'], |
|
393 | reporting_start_datetime_utc, |
|
394 | reporting_end_datetime_utc)) |
|
395 | rows = cursor_historical.fetchall() |
|
396 | ||
397 | if rows is not None and len(rows) > 0: |
|
398 | for row in rows: |
|
399 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
400 | timedelta(minutes=timezone_offset) |
|
401 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
402 | point_timestamps.append(current_datetime) |
|
403 | point_values.append(row[1]) |
|
404 | ||
405 | elif point['object_type'] == 'ENERGY_VALUE': |
|
406 | query = (" SELECT utc_date_time, actual_value " |
|
407 | " FROM tbl_energy_value " |
|
408 | " WHERE point_id = %s " |
|
409 | " AND utc_date_time BETWEEN %s AND %s " |
|
410 | " ORDER BY utc_date_time ") |
|
411 | cursor_historical.execute(query, (point['id'], |
|
412 | reporting_start_datetime_utc, |
|
413 | reporting_end_datetime_utc)) |
|
414 | rows = cursor_historical.fetchall() |
|
415 | ||
416 | if rows is not None and len(rows) > 0: |
|
417 | for row in rows: |
|
418 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
419 | timedelta(minutes=timezone_offset) |
|
420 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
421 | point_timestamps.append(current_datetime) |
|
422 | point_values.append(row[1]) |
|
423 | elif point['object_type'] == 'DIGITAL_VALUE': |
|
424 | query = (" SELECT utc_date_time, actual_value " |
|
425 | " FROM tbl_digital_value " |
|
426 | " WHERE point_id = %s " |
|
427 | " AND utc_date_time BETWEEN %s AND %s ") |
|
428 | cursor_historical.execute(query, (point['id'], |
|
429 | reporting_start_datetime_utc, |
|
430 | reporting_end_datetime_utc)) |
|
431 | rows = cursor_historical.fetchall() |
|
432 | ||
433 | if rows is not None and len(rows) > 0: |
|
434 | for row in rows: |
|
435 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
436 | timedelta(minutes=timezone_offset) |
|
437 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
438 | point_timestamps.append(current_datetime) |
|
439 | point_values.append(row[1]) |
|
440 | ||
441 | parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') |
|
442 | parameters_data['timestamps'].append(point_timestamps) |
|
443 | parameters_data['values'].append(point_values) |
|
444 | ||
445 | ################################################################################################################ |
|
446 | # Step 10: construct the report |
|
447 | ################################################################################################################ |
|
448 | if cursor_system: |
|
449 | cursor_system.close() |
|
450 | if cnx_system: |
|
451 | cnx_system.disconnect() |
|
452 | ||
453 | if cursor_billing: |
|
454 | cursor_billing.close() |
|
455 | if cnx_billing: |
|
456 | cnx_billing.disconnect() |
|
457 | ||
458 | result = dict() |
|
459 | ||
460 | result['store'] = dict() |
|
461 | result['store']['name'] = store['name'] |
|
462 | result['store']['area'] = store['area'] |
|
463 | ||
464 | result['base_period'] = dict() |
|
465 | result['base_period']['names'] = list() |
|
466 | result['base_period']['units'] = list() |
|
467 | result['base_period']['timestamps'] = list() |
|
468 | result['base_period']['values'] = list() |
|
469 | result['base_period']['subtotals'] = list() |
|
470 | result['base_period']['total'] = Decimal(0.0) |
|
471 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
472 | for energy_category_id in energy_category_set: |
|
473 | result['base_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
474 | result['base_period']['units'].append(config.currency_unit) |
|
475 | result['base_period']['timestamps'].append(base[energy_category_id]['timestamps']) |
|
476 | result['base_period']['values'].append(base[energy_category_id]['values']) |
|
477 | result['base_period']['subtotals'].append(base[energy_category_id]['subtotal']) |
|
478 | result['base_period']['total'] += base[energy_category_id]['subtotal'] |
|
479 | ||
480 | result['reporting_period'] = dict() |
|
481 | result['reporting_period']['names'] = list() |
|
482 | result['reporting_period']['energy_category_ids'] = list() |
|
483 | result['reporting_period']['units'] = list() |
|
484 | result['reporting_period']['timestamps'] = list() |
|
485 | result['reporting_period']['values'] = list() |
|
486 | result['reporting_period']['subtotals'] = list() |
|
487 | result['reporting_period']['subtotals_per_unit_area'] = list() |
|
488 | result['reporting_period']['toppeaks'] = list() |
|
489 | result['reporting_period']['onpeaks'] = list() |
|
490 | result['reporting_period']['midpeaks'] = list() |
|
491 | result['reporting_period']['offpeaks'] = list() |
|
492 | result['reporting_period']['increment_rates'] = list() |
|
493 | result['reporting_period']['total'] = Decimal(0.0) |
|
494 | result['reporting_period']['total_per_unit_area'] = Decimal(0.0) |
|
495 | result['reporting_period']['total_increment_rate'] = Decimal(0.0) |
|
496 | result['reporting_period']['total_unit'] = config.currency_unit |
|
497 | ||
498 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
499 | for energy_category_id in energy_category_set: |
|
500 | result['reporting_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
501 | result['reporting_period']['energy_category_ids'].append(energy_category_id) |
|
502 | result['reporting_period']['units'].append(config.currency_unit) |
|
503 | result['reporting_period']['timestamps'].append(reporting[energy_category_id]['timestamps']) |
|
504 | result['reporting_period']['values'].append(reporting[energy_category_id]['values']) |
|
505 | result['reporting_period']['subtotals'].append(reporting[energy_category_id]['subtotal']) |
|
506 | result['reporting_period']['subtotals_per_unit_area'].append( |
|
507 | reporting[energy_category_id]['subtotal'] / store['area'] if store['area'] > 0.0 else None) |
|
508 | result['reporting_period']['toppeaks'].append(reporting[energy_category_id]['toppeak']) |
|
509 | result['reporting_period']['onpeaks'].append(reporting[energy_category_id]['onpeak']) |
|
510 | result['reporting_period']['midpeaks'].append(reporting[energy_category_id]['midpeak']) |
|
511 | result['reporting_period']['offpeaks'].append(reporting[energy_category_id]['offpeak']) |
|
512 | result['reporting_period']['increment_rates'].append( |
|
513 | (reporting[energy_category_id]['subtotal'] - base[energy_category_id]['subtotal']) / |
|
514 | base[energy_category_id]['subtotal'] |
|
515 | if base[energy_category_id]['subtotal'] > 0.0 else None) |
|
516 | result['reporting_period']['total'] += reporting[energy_category_id]['subtotal'] |
|
517 | ||
518 | result['reporting_period']['total_per_unit_area'] = \ |
|
519 | result['reporting_period']['total'] / store['area'] if store['area'] > 0.0 else None |
|
520 | ||
521 | result['reporting_period']['total_increment_rate'] = \ |
|
522 | (result['reporting_period']['total'] - result['base_period']['total']) / \ |
|
523 | result['base_period']['total'] \ |
|
524 | if result['base_period']['total'] > Decimal(0.0) else None |
|
525 | ||
526 | result['parameters'] = { |
|
527 | "names": parameters_data['names'], |
|
528 | "timestamps": parameters_data['timestamps'], |
|
529 | "values": parameters_data['values'] |
|
530 | } |
|
531 | # export result to Excel file and then encode the file to base64 string |
|
532 | result['excel_bytes_base64'] = excelexporters.storecost.export(result, |
|
533 | store['name'], |
|
534 | reporting_start_datetime_local, |
|
535 | reporting_end_datetime_local, |
|
536 | period_type) |
|
537 | resp.body = json.dumps(result) |
|
538 |