@@ 13-520 (lines=508) @@ | ||
10 | from core.useractivity import access_control, api_key_control |
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11 | ||
12 | ||
13 | class Reporting: |
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14 | def __init__(self): |
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15 | """"Initializes Reporting""" |
|
16 | pass |
|
17 | ||
18 | @staticmethod |
|
19 | def on_options(req, resp): |
|
20 | _ = req |
|
21 | resp.status = falcon.HTTP_200 |
|
22 | ||
23 | #################################################################################################################### |
|
24 | # PROCEDURES |
|
25 | # Step 1: valid parameters |
|
26 | # Step 2: query the virtual meter and energy category |
|
27 | # Step 3: query base period energy saving |
|
28 | # Step 4: query reporting period energy saving |
|
29 | # Step 5: query tariff data |
|
30 | # Step 6: construct the report |
|
31 | #################################################################################################################### |
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32 | @staticmethod |
|
33 | def on_get(req, resp): |
|
34 | if 'API-KEY' not in req.headers or \ |
|
35 | not isinstance(req.headers['API-KEY'], str) or \ |
|
36 | len(str.strip(req.headers['API-KEY'])) == 0: |
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37 | access_control(req) |
|
38 | else: |
|
39 | api_key_control(req) |
|
40 | print(req.params) |
|
41 | virtual_meter_id = req.params.get('virtualmeterid') |
|
42 | virtual_meter_uuid = req.params.get('virtualmeteruuid') |
|
43 | period_type = req.params.get('periodtype') |
|
44 | base_period_start_datetime_local = req.params.get('baseperiodstartdatetime') |
|
45 | base_period_end_datetime_local = req.params.get('baseperiodenddatetime') |
|
46 | reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
|
47 | reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime') |
|
48 | language = req.params.get('language') |
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49 | quick_mode = req.params.get('quickmode') |
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50 | ||
51 | ################################################################################################################ |
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52 | # Step 1: valid parameters |
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53 | ################################################################################################################ |
|
54 | if virtual_meter_id is None and virtual_meter_uuid is None: |
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55 | raise falcon.HTTPError(status=falcon.HTTP_400, |
|
56 | title='API.BAD_REQUEST', |
|
57 | description='API.INVALID_VIRTUAL_METER_ID') |
|
58 | ||
59 | if virtual_meter_id is not None: |
|
60 | virtual_meter_id = str.strip(virtual_meter_id) |
|
61 | if not virtual_meter_id.isdigit() or int(virtual_meter_id) <= 0: |
|
62 | raise falcon.HTTPError(status=falcon.HTTP_400, |
|
63 | title='API.BAD_REQUEST', |
|
64 | description='API.INVALID_VIRTUAL_METER_ID') |
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65 | ||
66 | if virtual_meter_uuid is not None: |
|
67 | regex = re.compile(r'^[a-f0-9]{8}-?[a-f0-9]{4}-?4[a-f0-9]{3}-?[89ab][a-f0-9]{3}-?[a-f0-9]{12}\Z', re.I) |
|
68 | match = regex.match(str.strip(virtual_meter_uuid)) |
|
69 | if not bool(match): |
|
70 | raise falcon.HTTPError(status=falcon.HTTP_400, |
|
71 | title='API.BAD_REQUEST', |
|
72 | description='API.INVALID_VIRTUAL_METER_UUID') |
|
73 | ||
74 | if period_type is None: |
|
75 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
76 | description='API.INVALID_PERIOD_TYPE') |
|
77 | else: |
|
78 | period_type = str.strip(period_type) |
|
79 | if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
|
80 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
81 | description='API.INVALID_PERIOD_TYPE') |
|
82 | ||
83 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
|
84 | if config.utc_offset[0] == '-': |
|
85 | timezone_offset = -timezone_offset |
|
86 | ||
87 | base_start_datetime_utc = None |
|
88 | if base_period_start_datetime_local is not None and len(str.strip(base_period_start_datetime_local)) > 0: |
|
89 | base_period_start_datetime_local = str.strip(base_period_start_datetime_local) |
|
90 | try: |
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91 | base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
92 | except ValueError: |
|
93 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
94 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
|
95 | base_start_datetime_utc = \ |
|
96 | base_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
97 | # nomalize the start datetime |
|
98 | if config.minutes_to_count == 30 and base_start_datetime_utc.minute >= 30: |
|
99 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
100 | else: |
|
101 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
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102 | ||
103 | base_end_datetime_utc = None |
|
104 | if base_period_end_datetime_local is not None and len(str.strip(base_period_end_datetime_local)) > 0: |
|
105 | base_period_end_datetime_local = str.strip(base_period_end_datetime_local) |
|
106 | try: |
|
107 | base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
108 | except ValueError: |
|
109 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
110 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
|
111 | base_end_datetime_utc = \ |
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112 | base_end_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
113 | ||
114 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
|
115 | base_start_datetime_utc >= base_end_datetime_utc: |
|
116 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
117 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
|
118 | ||
119 | if reporting_period_start_datetime_local is None: |
|
120 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
121 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
122 | else: |
|
123 | reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) |
|
124 | try: |
|
125 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, |
|
126 | '%Y-%m-%dT%H:%M:%S') |
|
127 | except ValueError: |
|
128 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
129 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
130 | reporting_start_datetime_utc = \ |
|
131 | reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
132 | # nomalize the start datetime |
|
133 | if config.minutes_to_count == 30 and reporting_start_datetime_utc.minute >= 30: |
|
134 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
135 | else: |
|
136 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
|
137 | ||
138 | if reporting_period_end_datetime_local is None: |
|
139 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
140 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
141 | else: |
|
142 | reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) |
|
143 | try: |
|
144 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local, |
|
145 | '%Y-%m-%dT%H:%M:%S') |
|
146 | except ValueError: |
|
147 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
148 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
149 | reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \ |
|
150 | timedelta(minutes=timezone_offset) |
|
151 | ||
152 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
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153 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
154 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
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155 | ||
156 | # if turn quick mode on, do not return parameters data and excel file |
|
157 | is_quick_mode = False |
|
158 | if quick_mode is not None and \ |
|
159 | len(str.strip(quick_mode)) > 0 and \ |
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160 | str.lower(str.strip(quick_mode)) in ('true', 't', 'on', 'yes', 'y'): |
|
161 | is_quick_mode = True |
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162 | ||
163 | trans = utilities.get_translation(language) |
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164 | trans.install() |
|
165 | _ = trans.gettext |
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166 | ||
167 | ################################################################################################################ |
|
168 | # Step 2: query the virtual meter and energy category |
|
169 | ################################################################################################################ |
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170 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
|
171 | cursor_system = cnx_system.cursor() |
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172 | ||
173 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
|
174 | cursor_energy = cnx_energy.cursor() |
|
175 | ||
176 | cnx_energy_plan = mysql.connector.connect(**config.myems_energy_plan_db) |
|
177 | cursor_energy_plan = cnx_energy_plan.cursor() |
|
178 | ||
179 | cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, " |
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180 | " ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e " |
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181 | " FROM tbl_virtual_meters m, tbl_energy_categories ec " |
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182 | " WHERE m.id = %s AND m.energy_category_id = ec.id ", (virtual_meter_id,)) |
|
183 | row_virtual_meter = cursor_system.fetchone() |
|
184 | if row_virtual_meter is None: |
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185 | if cursor_system: |
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186 | cursor_system.close() |
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187 | if cnx_system: |
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188 | cnx_system.close() |
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189 | ||
190 | if cursor_energy: |
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191 | cursor_energy.close() |
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192 | if cnx_energy: |
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193 | cnx_energy.close() |
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194 | ||
195 | if cursor_energy_plan: |
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196 | cursor_energy_plan.close() |
|
197 | if cnx_energy_plan: |
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198 | cnx_energy_plan.close() |
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199 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', |
|
200 | description='API.VIRTUAL_METER_NOT_FOUND') |
|
201 | ||
202 | virtual_meter = dict() |
|
203 | virtual_meter['id'] = row_virtual_meter[0] |
|
204 | virtual_meter['name'] = row_virtual_meter[1] |
|
205 | virtual_meter['cost_center_id'] = row_virtual_meter[2] |
|
206 | virtual_meter['energy_category_id'] = row_virtual_meter[3] |
|
207 | virtual_meter['energy_category_name'] = row_virtual_meter[4] |
|
208 | virtual_meter['unit_of_measure'] = row_virtual_meter[5] |
|
209 | virtual_meter['kgce'] = row_virtual_meter[6] |
|
210 | virtual_meter['kgco2e'] = row_virtual_meter[7] |
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211 | ||
212 | ################################################################################################################ |
|
213 | # Step 3: query base period energy saving |
|
214 | ################################################################################################################ |
|
215 | base = dict() |
|
216 | base['timestamps'] = list() |
|
217 | base['values_plan'] = list() |
|
218 | base['values_actual'] = list() |
|
219 | base['values_saving'] = list() |
|
220 | base['total_in_category_plan'] = Decimal(0.0) |
|
221 | base['total_in_category_actual'] = Decimal(0.0) |
|
222 | base['total_in_category_saving'] = Decimal(0.0) |
|
223 | base['total_in_kgce_plan'] = Decimal(0.0) |
|
224 | base['total_in_kgce_actual'] = Decimal(0.0) |
|
225 | base['total_in_kgce_saving'] = Decimal(0.0) |
|
226 | base['total_in_kgco2e_plan'] = Decimal(0.0) |
|
227 | base['total_in_kgco2e_actual'] = Decimal(0.0) |
|
228 | base['total_in_kgco2e_saving'] = Decimal(0.0) |
|
229 | ||
230 | # query base period plan |
|
231 | cursor_energy_plan.execute(" SELECT start_datetime_utc, actual_value " |
|
232 | " FROM tbl_virtual_meter_hourly " |
|
233 | " WHERE virtual_meter_id = %s " |
|
234 | " AND start_datetime_utc >= %s " |
|
235 | " AND start_datetime_utc < %s " |
|
236 | " ORDER BY start_datetime_utc ", |
|
237 | (virtual_meter['id'], |
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238 | base_start_datetime_utc, |
|
239 | base_end_datetime_utc)) |
|
240 | rows_virtual_meter_hourly = cursor_energy_plan.fetchall() |
|
241 | ||
242 | rows_virtual_meter_periodically = \ |
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243 | utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly, |
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244 | base_start_datetime_utc, |
|
245 | base_end_datetime_utc, |
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246 | period_type) |
|
247 | ||
248 | for row_virtual_meter_periodically in rows_virtual_meter_periodically: |
|
249 | current_datetime_local = row_virtual_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
250 | timedelta(minutes=timezone_offset) |
|
251 | if period_type == 'hourly': |
|
252 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
253 | elif period_type == 'daily': |
|
254 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
255 | elif period_type == 'weekly': |
|
256 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
257 | elif period_type == 'monthly': |
|
258 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
259 | elif period_type == 'yearly': |
|
260 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
261 | ||
262 | actual_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None \ |
|
263 | else row_virtual_meter_periodically[1] |
|
264 | base['timestamps'].append(current_datetime) |
|
265 | base['values_plan'].append(actual_value) |
|
266 | base['total_in_category_plan'] += actual_value |
|
267 | base['total_in_kgce_plan'] += actual_value * virtual_meter['kgce'] |
|
268 | base['total_in_kgco2e_plan'] += actual_value * virtual_meter['kgco2e'] |
|
269 | ||
270 | # query base period actual |
|
271 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
272 | " FROM tbl_virtual_meter_hourly " |
|
273 | " WHERE virtual_meter_id = %s " |
|
274 | " AND start_datetime_utc >= %s " |
|
275 | " AND start_datetime_utc < %s " |
|
276 | " ORDER BY start_datetime_utc ", |
|
277 | (virtual_meter['id'], |
|
278 | base_start_datetime_utc, |
|
279 | base_end_datetime_utc)) |
|
280 | rows_virtual_meter_hourly = cursor_energy.fetchall() |
|
281 | ||
282 | rows_virtual_meter_periodically = \ |
|
283 | utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly, |
|
284 | base_start_datetime_utc, |
|
285 | base_end_datetime_utc, |
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286 | period_type) |
|
287 | ||
288 | for row_virtual_meter_periodically in rows_virtual_meter_periodically: |
|
289 | current_datetime_local = row_virtual_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
290 | timedelta(minutes=timezone_offset) |
|
291 | if period_type == 'hourly': |
|
292 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
293 | elif period_type == 'daily': |
|
294 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
295 | elif period_type == 'weekly': |
|
296 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
297 | elif period_type == 'monthly': |
|
298 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
299 | elif period_type == 'yearly': |
|
300 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
301 | ||
302 | actual_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None \ |
|
303 | else row_virtual_meter_periodically[1] |
|
304 | base['values_actual'].append(actual_value) |
|
305 | base['total_in_category_actual'] += actual_value |
|
306 | base['total_in_kgce_actual'] += actual_value * virtual_meter['kgce'] |
|
307 | base['total_in_kgco2e_actual'] += actual_value * virtual_meter['kgco2e'] |
|
308 | ||
309 | # calculate base period saving |
|
310 | for i in range(len(base['values_plan'])): |
|
311 | base['values_saving'].append(base['values_plan'][i] - base['values_actual'][i]) |
|
312 | ||
313 | base['total_in_category_saving'] = base['total_in_category_plan'] - base['total_in_category_actual'] |
|
314 | base['total_in_kgce_saving'] = base['total_in_kgce_plan'] - base['total_in_kgce_actual'] |
|
315 | base['total_in_kgco2e_saving'] = base['total_in_kgco2e_plan'] - base['total_in_kgco2e_actual'] |
|
316 | ||
317 | ################################################################################################################ |
|
318 | # Step 3: query reporting period energy saving |
|
319 | ################################################################################################################ |
|
320 | reporting = dict() |
|
321 | reporting['timestamps'] = list() |
|
322 | reporting['values_plan'] = list() |
|
323 | reporting['values_actual'] = list() |
|
324 | reporting['values_saving'] = list() |
|
325 | reporting['values_rates'] = list() |
|
326 | reporting['total_in_category_plan'] = Decimal(0.0) |
|
327 | reporting['total_in_category_actual'] = Decimal(0.0) |
|
328 | reporting['total_in_category_saving'] = Decimal(0.0) |
|
329 | reporting['total_in_kgce_plan'] = Decimal(0.0) |
|
330 | reporting['total_in_kgce_actual'] = Decimal(0.0) |
|
331 | reporting['total_in_kgce_saving'] = Decimal(0.0) |
|
332 | reporting['total_in_kgco2e_plan'] = Decimal(0.0) |
|
333 | reporting['total_in_kgco2e_actual'] = Decimal(0.0) |
|
334 | reporting['total_in_kgco2e_saving'] = Decimal(0.0) |
|
335 | # query reporting period plan |
|
336 | cursor_energy_plan.execute(" SELECT start_datetime_utc, actual_value " |
|
337 | " FROM tbl_virtual_meter_hourly " |
|
338 | " WHERE virtual_meter_id = %s " |
|
339 | " AND start_datetime_utc >= %s " |
|
340 | " AND start_datetime_utc < %s " |
|
341 | " ORDER BY start_datetime_utc ", |
|
342 | (virtual_meter['id'], |
|
343 | reporting_start_datetime_utc, |
|
344 | reporting_end_datetime_utc)) |
|
345 | rows_virtual_meter_hourly = cursor_energy_plan.fetchall() |
|
346 | ||
347 | rows_virtual_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly, |
|
348 | reporting_start_datetime_utc, |
|
349 | reporting_end_datetime_utc, |
|
350 | period_type) |
|
351 | ||
352 | for row_virtual_meter_periodically in rows_virtual_meter_periodically: |
|
353 | current_datetime_local = row_virtual_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
354 | timedelta(minutes=timezone_offset) |
|
355 | if period_type == 'hourly': |
|
356 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
357 | elif period_type == 'daily': |
|
358 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
359 | elif period_type == 'weekly': |
|
360 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
361 | elif period_type == 'monthly': |
|
362 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
363 | elif period_type == 'yearly': |
|
364 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
365 | ||
366 | actual_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None \ |
|
367 | else row_virtual_meter_periodically[1] |
|
368 | ||
369 | reporting['timestamps'].append(current_datetime) |
|
370 | reporting['values_plan'].append(actual_value) |
|
371 | reporting['total_in_category_plan'] += actual_value |
|
372 | reporting['total_in_kgce_plan'] += actual_value * virtual_meter['kgce'] |
|
373 | reporting['total_in_kgco2e_plan'] += actual_value * virtual_meter['kgco2e'] |
|
374 | ||
375 | # query reporting period actual |
|
376 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
377 | " FROM tbl_virtual_meter_hourly " |
|
378 | " WHERE virtual_meter_id = %s " |
|
379 | " AND start_datetime_utc >= %s " |
|
380 | " AND start_datetime_utc < %s " |
|
381 | " ORDER BY start_datetime_utc ", |
|
382 | (virtual_meter['id'], |
|
383 | reporting_start_datetime_utc, |
|
384 | reporting_end_datetime_utc)) |
|
385 | rows_virtual_meter_hourly = cursor_energy.fetchall() |
|
386 | ||
387 | rows_virtual_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly, |
|
388 | reporting_start_datetime_utc, |
|
389 | reporting_end_datetime_utc, |
|
390 | period_type) |
|
391 | ||
392 | for row_virtual_meter_periodically in rows_virtual_meter_periodically: |
|
393 | current_datetime_local = row_virtual_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
394 | timedelta(minutes=timezone_offset) |
|
395 | if period_type == 'hourly': |
|
396 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
397 | elif period_type == 'daily': |
|
398 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
399 | elif period_type == 'weekly': |
|
400 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
401 | elif period_type == 'monthly': |
|
402 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
403 | elif period_type == 'yearly': |
|
404 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
405 | ||
406 | actual_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None \ |
|
407 | else row_virtual_meter_periodically[1] |
|
408 | ||
409 | reporting['values_actual'].append(actual_value) |
|
410 | reporting['total_in_category_actual'] += actual_value |
|
411 | reporting['total_in_kgce_actual'] += actual_value * virtual_meter['kgce'] |
|
412 | reporting['total_in_kgco2e_actual'] += actual_value * virtual_meter['kgco2e'] |
|
413 | ||
414 | # calculate base period saving |
|
415 | for i in range(len(reporting['values_plan'])): |
|
416 | reporting['values_saving'].append(reporting['values_plan'][i] - reporting['values_actual'][i]) |
|
417 | ||
418 | reporting['total_in_category_saving'] = \ |
|
419 | reporting['total_in_category_plan'] - reporting['total_in_category_actual'] |
|
420 | reporting['total_in_kgce_saving'] = \ |
|
421 | reporting['total_in_kgce_plan'] - reporting['total_in_kgce_actual'] |
|
422 | reporting['total_in_kgco2e_saving'] = \ |
|
423 | reporting['total_in_kgco2e_plan'] - reporting['total_in_kgco2e_actual'] |
|
424 | ||
425 | for index, value in enumerate(reporting['values_saving']): |
|
426 | if index < len(base['values_saving']) and base['values_saving'][index] != 0 and value != 0: |
|
427 | reporting['values_rates'].append((value - base['values_saving'][index]) / base['values_saving'][index]) |
|
428 | else: |
|
429 | reporting['values_rates'].append(None) |
|
430 | ||
431 | ################################################################################################################ |
|
432 | # Step 5: query tariff data |
|
433 | ################################################################################################################ |
|
434 | parameters_data = dict() |
|
435 | parameters_data['names'] = list() |
|
436 | parameters_data['timestamps'] = list() |
|
437 | parameters_data['values'] = list() |
|
438 | if config.is_tariff_appended and not is_quick_mode: |
|
439 | tariff_dict = utilities.get_energy_category_tariffs(virtual_meter['cost_center_id'], |
|
440 | virtual_meter['energy_category_id'], |
|
441 | reporting_start_datetime_utc, |
|
442 | reporting_end_datetime_utc) |
|
443 | tariff_timestamp_list = list() |
|
444 | tariff_value_list = list() |
|
445 | for k, v in tariff_dict.items(): |
|
446 | # convert k from utc to local |
|
447 | k = k + timedelta(minutes=timezone_offset) |
|
448 | tariff_timestamp_list.append(k.isoformat()[0:19]) |
|
449 | tariff_value_list.append(v) |
|
450 | ||
451 | parameters_data['names'].append(_('Tariff') + '-' + virtual_meter['energy_category_name']) |
|
452 | parameters_data['timestamps'].append(tariff_timestamp_list) |
|
453 | parameters_data['values'].append(tariff_value_list) |
|
454 | ||
455 | ################################################################################################################ |
|
456 | # Step 6: construct the report |
|
457 | ################################################################################################################ |
|
458 | if cursor_system: |
|
459 | cursor_system.close() |
|
460 | if cnx_system: |
|
461 | cnx_system.close() |
|
462 | ||
463 | if cursor_energy: |
|
464 | cursor_energy.close() |
|
465 | if cnx_energy: |
|
466 | cnx_energy.close() |
|
467 | ||
468 | if cursor_energy_plan: |
|
469 | cursor_energy_plan.close() |
|
470 | if cnx_energy_plan: |
|
471 | cnx_energy_plan.close() |
|
472 | ||
473 | result = { |
|
474 | "virtual_meter": { |
|
475 | "cost_center_id": virtual_meter['cost_center_id'], |
|
476 | "energy_category_id": virtual_meter['energy_category_id'], |
|
477 | "energy_category_name": virtual_meter['energy_category_name'], |
|
478 | "unit_of_measure": virtual_meter['unit_of_measure'], |
|
479 | "kgce": virtual_meter['kgce'], |
|
480 | "kgco2e": virtual_meter['kgco2e'], |
|
481 | }, |
|
482 | "base_period": { |
|
483 | "total_in_category_saving": base['total_in_category_saving'], |
|
484 | "total_in_kgce_saving": base['total_in_kgce_saving'], |
|
485 | "total_in_kgco2e_saving": base['total_in_kgco2e_saving'], |
|
486 | "timestamps": base['timestamps'], |
|
487 | "values_saving": base['values_saving'], |
|
488 | }, |
|
489 | "reporting_period": { |
|
490 | "increment_rate_saving": |
|
491 | (reporting['total_in_category_saving'] - base['total_in_category_saving']) / |
|
492 | base['total_in_category_saving'] |
|
493 | if base['total_in_category_saving'] != Decimal(0.0) else None, |
|
494 | "total_in_category_saving": reporting['total_in_category_saving'], |
|
495 | "total_in_kgce_saving": reporting['total_in_kgce_saving'], |
|
496 | "total_in_kgco2e_saving": reporting['total_in_kgco2e_saving'], |
|
497 | "timestamps": reporting['timestamps'], |
|
498 | "values_saving": reporting['values_saving'], |
|
499 | "values_rates": reporting['values_rates'], |
|
500 | }, |
|
501 | "parameters": { |
|
502 | "names": parameters_data['names'], |
|
503 | "timestamps": parameters_data['timestamps'], |
|
504 | "values": parameters_data['values'] |
|
505 | }, |
|
506 | } |
|
507 | ||
508 | # export result to Excel file and then encode the file to base64 string |
|
509 | if not is_quick_mode: |
|
510 | result['excel_bytes_base64'] = \ |
|
511 | excelexporters.virtualmeterplan.export(result, |
|
512 | virtual_meter['name'], |
|
513 | base_period_start_datetime_local, |
|
514 | base_period_end_datetime_local, |
|
515 | reporting_period_start_datetime_local, |
|
516 | reporting_period_end_datetime_local, |
|
517 | period_type, |
|
518 | language) |
|
519 | ||
520 | resp.text = json.dumps(result) |
|
521 |
@@ 13-520 (lines=508) @@ | ||
10 | from core.useractivity import access_control, api_key_control |
|
11 | ||
12 | ||
13 | class Reporting: |
|
14 | def __init__(self): |
|
15 | """"Initializes Reporting""" |
|
16 | pass |
|
17 | ||
18 | @staticmethod |
|
19 | def on_options(req, resp): |
|
20 | _ = req |
|
21 | resp.status = falcon.HTTP_200 |
|
22 | ||
23 | #################################################################################################################### |
|
24 | # PROCEDURES |
|
25 | # Step 1: valid parameters |
|
26 | # Step 2: query the virtual meter and energy category |
|
27 | # Step 3: query base period energy saving |
|
28 | # Step 4: query reporting period energy saving |
|
29 | # Step 5: query tariff data |
|
30 | # Step 6: construct the report |
|
31 | #################################################################################################################### |
|
32 | @staticmethod |
|
33 | def on_get(req, resp): |
|
34 | if 'API-KEY' not in req.headers or \ |
|
35 | not isinstance(req.headers['API-KEY'], str) or \ |
|
36 | len(str.strip(req.headers['API-KEY'])) == 0: |
|
37 | access_control(req) |
|
38 | else: |
|
39 | api_key_control(req) |
|
40 | print(req.params) |
|
41 | virtual_meter_id = req.params.get('virtualmeterid') |
|
42 | virtual_meter_uuid = req.params.get('virtualmeteruuid') |
|
43 | period_type = req.params.get('periodtype') |
|
44 | base_period_start_datetime_local = req.params.get('baseperiodstartdatetime') |
|
45 | base_period_end_datetime_local = req.params.get('baseperiodenddatetime') |
|
46 | reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
|
47 | reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime') |
|
48 | language = req.params.get('language') |
|
49 | quick_mode = req.params.get('quickmode') |
|
50 | ||
51 | ################################################################################################################ |
|
52 | # Step 1: valid parameters |
|
53 | ################################################################################################################ |
|
54 | if virtual_meter_id is None and virtual_meter_uuid is None: |
|
55 | raise falcon.HTTPError(status=falcon.HTTP_400, |
|
56 | title='API.BAD_REQUEST', |
|
57 | description='API.INVALID_VIRTUAL_METER_ID') |
|
58 | ||
59 | if virtual_meter_id is not None: |
|
60 | virtual_meter_id = str.strip(virtual_meter_id) |
|
61 | if not virtual_meter_id.isdigit() or int(virtual_meter_id) <= 0: |
|
62 | raise falcon.HTTPError(status=falcon.HTTP_400, |
|
63 | title='API.BAD_REQUEST', |
|
64 | description='API.INVALID_VIRTUAL_METER_ID') |
|
65 | ||
66 | if virtual_meter_uuid is not None: |
|
67 | regex = re.compile(r'^[a-f0-9]{8}-?[a-f0-9]{4}-?4[a-f0-9]{3}-?[89ab][a-f0-9]{3}-?[a-f0-9]{12}\Z', re.I) |
|
68 | match = regex.match(str.strip(virtual_meter_uuid)) |
|
69 | if not bool(match): |
|
70 | raise falcon.HTTPError(status=falcon.HTTP_400, |
|
71 | title='API.BAD_REQUEST', |
|
72 | description='API.INVALID_VIRTUAL_METER_UUID') |
|
73 | ||
74 | if period_type is None: |
|
75 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
76 | description='API.INVALID_PERIOD_TYPE') |
|
77 | else: |
|
78 | period_type = str.strip(period_type) |
|
79 | if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
|
80 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
81 | description='API.INVALID_PERIOD_TYPE') |
|
82 | ||
83 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
|
84 | if config.utc_offset[0] == '-': |
|
85 | timezone_offset = -timezone_offset |
|
86 | ||
87 | base_start_datetime_utc = None |
|
88 | if base_period_start_datetime_local is not None and len(str.strip(base_period_start_datetime_local)) > 0: |
|
89 | base_period_start_datetime_local = str.strip(base_period_start_datetime_local) |
|
90 | try: |
|
91 | base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
92 | except ValueError: |
|
93 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
94 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
|
95 | base_start_datetime_utc = \ |
|
96 | base_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
97 | # nomalize the start datetime |
|
98 | if config.minutes_to_count == 30 and base_start_datetime_utc.minute >= 30: |
|
99 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
100 | else: |
|
101 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
|
102 | ||
103 | base_end_datetime_utc = None |
|
104 | if base_period_end_datetime_local is not None and len(str.strip(base_period_end_datetime_local)) > 0: |
|
105 | base_period_end_datetime_local = str.strip(base_period_end_datetime_local) |
|
106 | try: |
|
107 | base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
108 | except ValueError: |
|
109 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
110 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
|
111 | base_end_datetime_utc = \ |
|
112 | base_end_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
113 | ||
114 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
|
115 | base_start_datetime_utc >= base_end_datetime_utc: |
|
116 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
117 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
|
118 | ||
119 | if reporting_period_start_datetime_local is None: |
|
120 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
121 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
122 | else: |
|
123 | reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) |
|
124 | try: |
|
125 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, |
|
126 | '%Y-%m-%dT%H:%M:%S') |
|
127 | except ValueError: |
|
128 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
129 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
130 | reporting_start_datetime_utc = \ |
|
131 | reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
132 | # nomalize the start datetime |
|
133 | if config.minutes_to_count == 30 and reporting_start_datetime_utc.minute >= 30: |
|
134 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
135 | else: |
|
136 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
|
137 | ||
138 | if reporting_period_end_datetime_local is None: |
|
139 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
140 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
141 | else: |
|
142 | reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) |
|
143 | try: |
|
144 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local, |
|
145 | '%Y-%m-%dT%H:%M:%S') |
|
146 | except ValueError: |
|
147 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
148 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
149 | reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \ |
|
150 | timedelta(minutes=timezone_offset) |
|
151 | ||
152 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
|
153 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
154 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
|
155 | ||
156 | # if turn quick mode on, do not return parameters data and excel file |
|
157 | is_quick_mode = False |
|
158 | if quick_mode is not None and \ |
|
159 | len(str.strip(quick_mode)) > 0 and \ |
|
160 | str.lower(str.strip(quick_mode)) in ('true', 't', 'on', 'yes', 'y'): |
|
161 | is_quick_mode = True |
|
162 | ||
163 | trans = utilities.get_translation(language) |
|
164 | trans.install() |
|
165 | _ = trans.gettext |
|
166 | ||
167 | ################################################################################################################ |
|
168 | # Step 2: query the virtual meter and energy category |
|
169 | ################################################################################################################ |
|
170 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
|
171 | cursor_system = cnx_system.cursor() |
|
172 | ||
173 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
|
174 | cursor_energy = cnx_energy.cursor() |
|
175 | ||
176 | cnx_energy_baseline = mysql.connector.connect(**config.myems_energy_baseline_db) |
|
177 | cursor_energy_baseline = cnx_energy_baseline.cursor() |
|
178 | ||
179 | cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, " |
|
180 | " ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e " |
|
181 | " FROM tbl_virtual_meters m, tbl_energy_categories ec " |
|
182 | " WHERE m.id = %s AND m.energy_category_id = ec.id ", (virtual_meter_id,)) |
|
183 | row_virtual_meter = cursor_system.fetchone() |
|
184 | if row_virtual_meter is None: |
|
185 | if cursor_system: |
|
186 | cursor_system.close() |
|
187 | if cnx_system: |
|
188 | cnx_system.close() |
|
189 | ||
190 | if cursor_energy: |
|
191 | cursor_energy.close() |
|
192 | if cnx_energy: |
|
193 | cnx_energy.close() |
|
194 | ||
195 | if cursor_energy_baseline: |
|
196 | cursor_energy_baseline.close() |
|
197 | if cnx_energy_baseline: |
|
198 | cnx_energy_baseline.close() |
|
199 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', |
|
200 | description='API.VIRTUAL_METER_NOT_FOUND') |
|
201 | ||
202 | virtual_meter = dict() |
|
203 | virtual_meter['id'] = row_virtual_meter[0] |
|
204 | virtual_meter['name'] = row_virtual_meter[1] |
|
205 | virtual_meter['cost_center_id'] = row_virtual_meter[2] |
|
206 | virtual_meter['energy_category_id'] = row_virtual_meter[3] |
|
207 | virtual_meter['energy_category_name'] = row_virtual_meter[4] |
|
208 | virtual_meter['unit_of_measure'] = row_virtual_meter[5] |
|
209 | virtual_meter['kgce'] = row_virtual_meter[6] |
|
210 | virtual_meter['kgco2e'] = row_virtual_meter[7] |
|
211 | ||
212 | ################################################################################################################ |
|
213 | # Step 3: query base period energy saving |
|
214 | ################################################################################################################ |
|
215 | base = dict() |
|
216 | base['timestamps'] = list() |
|
217 | base['values_baseline'] = list() |
|
218 | base['values_actual'] = list() |
|
219 | base['values_saving'] = list() |
|
220 | base['total_in_category_baseline'] = Decimal(0.0) |
|
221 | base['total_in_category_actual'] = Decimal(0.0) |
|
222 | base['total_in_category_saving'] = Decimal(0.0) |
|
223 | base['total_in_kgce_baseline'] = Decimal(0.0) |
|
224 | base['total_in_kgce_actual'] = Decimal(0.0) |
|
225 | base['total_in_kgce_saving'] = Decimal(0.0) |
|
226 | base['total_in_kgco2e_baseline'] = Decimal(0.0) |
|
227 | base['total_in_kgco2e_actual'] = Decimal(0.0) |
|
228 | base['total_in_kgco2e_saving'] = Decimal(0.0) |
|
229 | ||
230 | # query base period baseline |
|
231 | cursor_energy_baseline.execute(" SELECT start_datetime_utc, actual_value " |
|
232 | " FROM tbl_virtual_meter_hourly " |
|
233 | " WHERE virtual_meter_id = %s " |
|
234 | " AND start_datetime_utc >= %s " |
|
235 | " AND start_datetime_utc < %s " |
|
236 | " ORDER BY start_datetime_utc ", |
|
237 | (virtual_meter['id'], |
|
238 | base_start_datetime_utc, |
|
239 | base_end_datetime_utc)) |
|
240 | rows_virtual_meter_hourly = cursor_energy_baseline.fetchall() |
|
241 | ||
242 | rows_virtual_meter_periodically = \ |
|
243 | utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly, |
|
244 | base_start_datetime_utc, |
|
245 | base_end_datetime_utc, |
|
246 | period_type) |
|
247 | ||
248 | for row_virtual_meter_periodically in rows_virtual_meter_periodically: |
|
249 | current_datetime_local = row_virtual_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
250 | timedelta(minutes=timezone_offset) |
|
251 | if period_type == 'hourly': |
|
252 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
253 | elif period_type == 'daily': |
|
254 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
255 | elif period_type == 'weekly': |
|
256 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
257 | elif period_type == 'monthly': |
|
258 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
259 | elif period_type == 'yearly': |
|
260 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
261 | ||
262 | actual_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None \ |
|
263 | else row_virtual_meter_periodically[1] |
|
264 | base['timestamps'].append(current_datetime) |
|
265 | base['values_baseline'].append(actual_value) |
|
266 | base['total_in_category_baseline'] += actual_value |
|
267 | base['total_in_kgce_baseline'] += actual_value * virtual_meter['kgce'] |
|
268 | base['total_in_kgco2e_baseline'] += actual_value * virtual_meter['kgco2e'] |
|
269 | ||
270 | # query base period actual |
|
271 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
272 | " FROM tbl_virtual_meter_hourly " |
|
273 | " WHERE virtual_meter_id = %s " |
|
274 | " AND start_datetime_utc >= %s " |
|
275 | " AND start_datetime_utc < %s " |
|
276 | " ORDER BY start_datetime_utc ", |
|
277 | (virtual_meter['id'], |
|
278 | base_start_datetime_utc, |
|
279 | base_end_datetime_utc)) |
|
280 | rows_virtual_meter_hourly = cursor_energy.fetchall() |
|
281 | ||
282 | rows_virtual_meter_periodically = \ |
|
283 | utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly, |
|
284 | base_start_datetime_utc, |
|
285 | base_end_datetime_utc, |
|
286 | period_type) |
|
287 | ||
288 | for row_virtual_meter_periodically in rows_virtual_meter_periodically: |
|
289 | current_datetime_local = row_virtual_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
290 | timedelta(minutes=timezone_offset) |
|
291 | if period_type == 'hourly': |
|
292 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
293 | elif period_type == 'daily': |
|
294 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
295 | elif period_type == 'weekly': |
|
296 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
297 | elif period_type == 'monthly': |
|
298 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
299 | elif period_type == 'yearly': |
|
300 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
301 | ||
302 | actual_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None \ |
|
303 | else row_virtual_meter_periodically[1] |
|
304 | base['values_actual'].append(actual_value) |
|
305 | base['total_in_category_actual'] += actual_value |
|
306 | base['total_in_kgce_actual'] += actual_value * virtual_meter['kgce'] |
|
307 | base['total_in_kgco2e_actual'] += actual_value * virtual_meter['kgco2e'] |
|
308 | ||
309 | # calculate base period saving |
|
310 | for i in range(len(base['values_baseline'])): |
|
311 | base['values_saving'].append(base['values_baseline'][i] - base['values_actual'][i]) |
|
312 | ||
313 | base['total_in_category_saving'] = base['total_in_category_baseline'] - base['total_in_category_actual'] |
|
314 | base['total_in_kgce_saving'] = base['total_in_kgce_baseline'] - base['total_in_kgce_actual'] |
|
315 | base['total_in_kgco2e_saving'] = base['total_in_kgco2e_baseline'] - base['total_in_kgco2e_actual'] |
|
316 | ||
317 | ################################################################################################################ |
|
318 | # Step 3: query reporting period energy saving |
|
319 | ################################################################################################################ |
|
320 | reporting = dict() |
|
321 | reporting['timestamps'] = list() |
|
322 | reporting['values_baseline'] = list() |
|
323 | reporting['values_actual'] = list() |
|
324 | reporting['values_saving'] = list() |
|
325 | reporting['values_rates'] = list() |
|
326 | reporting['total_in_category_baseline'] = Decimal(0.0) |
|
327 | reporting['total_in_category_actual'] = Decimal(0.0) |
|
328 | reporting['total_in_category_saving'] = Decimal(0.0) |
|
329 | reporting['total_in_kgce_baseline'] = Decimal(0.0) |
|
330 | reporting['total_in_kgce_actual'] = Decimal(0.0) |
|
331 | reporting['total_in_kgce_saving'] = Decimal(0.0) |
|
332 | reporting['total_in_kgco2e_baseline'] = Decimal(0.0) |
|
333 | reporting['total_in_kgco2e_actual'] = Decimal(0.0) |
|
334 | reporting['total_in_kgco2e_saving'] = Decimal(0.0) |
|
335 | # query reporting period baseline |
|
336 | cursor_energy_baseline.execute(" SELECT start_datetime_utc, actual_value " |
|
337 | " FROM tbl_virtual_meter_hourly " |
|
338 | " WHERE virtual_meter_id = %s " |
|
339 | " AND start_datetime_utc >= %s " |
|
340 | " AND start_datetime_utc < %s " |
|
341 | " ORDER BY start_datetime_utc ", |
|
342 | (virtual_meter['id'], |
|
343 | reporting_start_datetime_utc, |
|
344 | reporting_end_datetime_utc)) |
|
345 | rows_virtual_meter_hourly = cursor_energy_baseline.fetchall() |
|
346 | ||
347 | rows_virtual_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly, |
|
348 | reporting_start_datetime_utc, |
|
349 | reporting_end_datetime_utc, |
|
350 | period_type) |
|
351 | ||
352 | for row_virtual_meter_periodically in rows_virtual_meter_periodically: |
|
353 | current_datetime_local = row_virtual_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
354 | timedelta(minutes=timezone_offset) |
|
355 | if period_type == 'hourly': |
|
356 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
357 | elif period_type == 'daily': |
|
358 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
359 | elif period_type == 'weekly': |
|
360 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
361 | elif period_type == 'monthly': |
|
362 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
363 | elif period_type == 'yearly': |
|
364 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
365 | ||
366 | actual_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None \ |
|
367 | else row_virtual_meter_periodically[1] |
|
368 | ||
369 | reporting['timestamps'].append(current_datetime) |
|
370 | reporting['values_baseline'].append(actual_value) |
|
371 | reporting['total_in_category_baseline'] += actual_value |
|
372 | reporting['total_in_kgce_baseline'] += actual_value * virtual_meter['kgce'] |
|
373 | reporting['total_in_kgco2e_baseline'] += actual_value * virtual_meter['kgco2e'] |
|
374 | ||
375 | # query reporting period actual |
|
376 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
377 | " FROM tbl_virtual_meter_hourly " |
|
378 | " WHERE virtual_meter_id = %s " |
|
379 | " AND start_datetime_utc >= %s " |
|
380 | " AND start_datetime_utc < %s " |
|
381 | " ORDER BY start_datetime_utc ", |
|
382 | (virtual_meter['id'], |
|
383 | reporting_start_datetime_utc, |
|
384 | reporting_end_datetime_utc)) |
|
385 | rows_virtual_meter_hourly = cursor_energy.fetchall() |
|
386 | ||
387 | rows_virtual_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly, |
|
388 | reporting_start_datetime_utc, |
|
389 | reporting_end_datetime_utc, |
|
390 | period_type) |
|
391 | ||
392 | for row_virtual_meter_periodically in rows_virtual_meter_periodically: |
|
393 | current_datetime_local = row_virtual_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
394 | timedelta(minutes=timezone_offset) |
|
395 | if period_type == 'hourly': |
|
396 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
397 | elif period_type == 'daily': |
|
398 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
399 | elif period_type == 'weekly': |
|
400 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
401 | elif period_type == 'monthly': |
|
402 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
403 | elif period_type == 'yearly': |
|
404 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
405 | ||
406 | actual_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None \ |
|
407 | else row_virtual_meter_periodically[1] |
|
408 | ||
409 | reporting['values_actual'].append(actual_value) |
|
410 | reporting['total_in_category_actual'] += actual_value |
|
411 | reporting['total_in_kgce_actual'] += actual_value * virtual_meter['kgce'] |
|
412 | reporting['total_in_kgco2e_actual'] += actual_value * virtual_meter['kgco2e'] |
|
413 | ||
414 | # calculate base period saving |
|
415 | for i in range(len(reporting['values_baseline'])): |
|
416 | reporting['values_saving'].append(reporting['values_baseline'][i] - reporting['values_actual'][i]) |
|
417 | ||
418 | reporting['total_in_category_saving'] = \ |
|
419 | reporting['total_in_category_baseline'] - reporting['total_in_category_actual'] |
|
420 | reporting['total_in_kgce_saving'] = \ |
|
421 | reporting['total_in_kgce_baseline'] - reporting['total_in_kgce_actual'] |
|
422 | reporting['total_in_kgco2e_saving'] = \ |
|
423 | reporting['total_in_kgco2e_baseline'] - reporting['total_in_kgco2e_actual'] |
|
424 | ||
425 | for index, value in enumerate(reporting['values_saving']): |
|
426 | if index < len(base['values_saving']) and base['values_saving'][index] != 0 and value != 0: |
|
427 | reporting['values_rates'].append((value - base['values_saving'][index]) / base['values_saving'][index]) |
|
428 | else: |
|
429 | reporting['values_rates'].append(None) |
|
430 | ||
431 | ################################################################################################################ |
|
432 | # Step 5: query tariff data |
|
433 | ################################################################################################################ |
|
434 | parameters_data = dict() |
|
435 | parameters_data['names'] = list() |
|
436 | parameters_data['timestamps'] = list() |
|
437 | parameters_data['values'] = list() |
|
438 | if config.is_tariff_appended and not is_quick_mode: |
|
439 | tariff_dict = utilities.get_energy_category_tariffs(virtual_meter['cost_center_id'], |
|
440 | virtual_meter['energy_category_id'], |
|
441 | reporting_start_datetime_utc, |
|
442 | reporting_end_datetime_utc) |
|
443 | tariff_timestamp_list = list() |
|
444 | tariff_value_list = list() |
|
445 | for k, v in tariff_dict.items(): |
|
446 | # convert k from utc to local |
|
447 | k = k + timedelta(minutes=timezone_offset) |
|
448 | tariff_timestamp_list.append(k.isoformat()[0:19]) |
|
449 | tariff_value_list.append(v) |
|
450 | ||
451 | parameters_data['names'].append(_('Tariff') + '-' + virtual_meter['energy_category_name']) |
|
452 | parameters_data['timestamps'].append(tariff_timestamp_list) |
|
453 | parameters_data['values'].append(tariff_value_list) |
|
454 | ||
455 | ################################################################################################################ |
|
456 | # Step 6: construct the report |
|
457 | ################################################################################################################ |
|
458 | if cursor_system: |
|
459 | cursor_system.close() |
|
460 | if cnx_system: |
|
461 | cnx_system.close() |
|
462 | ||
463 | if cursor_energy: |
|
464 | cursor_energy.close() |
|
465 | if cnx_energy: |
|
466 | cnx_energy.close() |
|
467 | ||
468 | if cursor_energy_baseline: |
|
469 | cursor_energy_baseline.close() |
|
470 | if cnx_energy_baseline: |
|
471 | cnx_energy_baseline.close() |
|
472 | ||
473 | result = { |
|
474 | "virtual_meter": { |
|
475 | "cost_center_id": virtual_meter['cost_center_id'], |
|
476 | "energy_category_id": virtual_meter['energy_category_id'], |
|
477 | "energy_category_name": virtual_meter['energy_category_name'], |
|
478 | "unit_of_measure": virtual_meter['unit_of_measure'], |
|
479 | "kgce": virtual_meter['kgce'], |
|
480 | "kgco2e": virtual_meter['kgco2e'], |
|
481 | }, |
|
482 | "base_period": { |
|
483 | "total_in_category_saving": base['total_in_category_saving'], |
|
484 | "total_in_kgce_saving": base['total_in_kgce_saving'], |
|
485 | "total_in_kgco2e_saving": base['total_in_kgco2e_saving'], |
|
486 | "timestamps": base['timestamps'], |
|
487 | "values_saving": base['values_saving'], |
|
488 | }, |
|
489 | "reporting_period": { |
|
490 | "increment_rate_saving": |
|
491 | (reporting['total_in_category_saving'] - base['total_in_category_saving']) / |
|
492 | base['total_in_category_saving'] |
|
493 | if base['total_in_category_saving'] != Decimal(0.0) else None, |
|
494 | "total_in_category_saving": reporting['total_in_category_saving'], |
|
495 | "total_in_kgce_saving": reporting['total_in_kgce_saving'], |
|
496 | "total_in_kgco2e_saving": reporting['total_in_kgco2e_saving'], |
|
497 | "timestamps": reporting['timestamps'], |
|
498 | "values_saving": reporting['values_saving'], |
|
499 | "values_rates": reporting['values_rates'], |
|
500 | }, |
|
501 | "parameters": { |
|
502 | "names": parameters_data['names'], |
|
503 | "timestamps": parameters_data['timestamps'], |
|
504 | "values": parameters_data['values'] |
|
505 | }, |
|
506 | } |
|
507 | ||
508 | # export result to Excel file and then encode the file to base64 string |
|
509 | if not is_quick_mode: |
|
510 | result['excel_bytes_base64'] = \ |
|
511 | excelexporters.virtualmetersaving.export(result, |
|
512 | virtual_meter['name'], |
|
513 | base_period_start_datetime_local, |
|
514 | base_period_end_datetime_local, |
|
515 | reporting_period_start_datetime_local, |
|
516 | reporting_period_end_datetime_local, |
|
517 | period_type, |
|
518 | language) |
|
519 | ||
520 | resp.text = json.dumps(result) |
|
521 |
@@ 13-520 (lines=508) @@ | ||
10 | from core.useractivity import access_control, api_key_control |
|
11 | ||
12 | ||
13 | class Reporting: |
|
14 | def __init__(self): |
|
15 | """"Initializes Reporting""" |
|
16 | pass |
|
17 | ||
18 | @staticmethod |
|
19 | def on_options(req, resp): |
|
20 | _ = req |
|
21 | resp.status = falcon.HTTP_200 |
|
22 | ||
23 | #################################################################################################################### |
|
24 | # PROCEDURES |
|
25 | # Step 1: valid parameters |
|
26 | # Step 2: query the offline meter and energy category |
|
27 | # Step 3: query base period energy saving |
|
28 | # Step 4: query reporting period energy saving |
|
29 | # Step 5: query tariff data |
|
30 | # Step 6: construct the report |
|
31 | #################################################################################################################### |
|
32 | @staticmethod |
|
33 | def on_get(req, resp): |
|
34 | if 'API-KEY' not in req.headers or \ |
|
35 | not isinstance(req.headers['API-KEY'], str) or \ |
|
36 | len(str.strip(req.headers['API-KEY'])) == 0: |
|
37 | access_control(req) |
|
38 | else: |
|
39 | api_key_control(req) |
|
40 | print(req.params) |
|
41 | offline_meter_id = req.params.get('offlinemeterid') |
|
42 | offline_meter_uuid = req.params.get('offlinemeteruuid') |
|
43 | period_type = req.params.get('periodtype') |
|
44 | base_period_start_datetime_local = req.params.get('baseperiodstartdatetime') |
|
45 | base_period_end_datetime_local = req.params.get('baseperiodenddatetime') |
|
46 | reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
|
47 | reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime') |
|
48 | language = req.params.get('language') |
|
49 | quick_mode = req.params.get('quickmode') |
|
50 | ||
51 | ################################################################################################################ |
|
52 | # Step 1: valid parameters |
|
53 | ################################################################################################################ |
|
54 | if offline_meter_id is None and offline_meter_uuid is None: |
|
55 | raise falcon.HTTPError(status=falcon.HTTP_400, |
|
56 | title='API.BAD_REQUEST', |
|
57 | description='API.INVALID_offline_meter_id') |
|
58 | ||
59 | if offline_meter_id is not None: |
|
60 | offline_meter_id = str.strip(offline_meter_id) |
|
61 | if not offline_meter_id.isdigit() or int(offline_meter_id) <= 0: |
|
62 | raise falcon.HTTPError(status=falcon.HTTP_400, |
|
63 | title='API.BAD_REQUEST', |
|
64 | description='API.INVALID_offline_meter_id') |
|
65 | ||
66 | if offline_meter_uuid is not None: |
|
67 | regex = re.compile(r'^[a-f0-9]{8}-?[a-f0-9]{4}-?4[a-f0-9]{3}-?[89ab][a-f0-9]{3}-?[a-f0-9]{12}\Z', re.I) |
|
68 | match = regex.match(str.strip(offline_meter_uuid)) |
|
69 | if not bool(match): |
|
70 | raise falcon.HTTPError(status=falcon.HTTP_400, |
|
71 | title='API.BAD_REQUEST', |
|
72 | description='API.INVALID_OFFLINE_METER_UUID') |
|
73 | ||
74 | if period_type is None: |
|
75 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
76 | description='API.INVALID_PERIOD_TYPE') |
|
77 | else: |
|
78 | period_type = str.strip(period_type) |
|
79 | if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
|
80 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
81 | description='API.INVALID_PERIOD_TYPE') |
|
82 | ||
83 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
|
84 | if config.utc_offset[0] == '-': |
|
85 | timezone_offset = -timezone_offset |
|
86 | ||
87 | base_start_datetime_utc = None |
|
88 | if base_period_start_datetime_local is not None and len(str.strip(base_period_start_datetime_local)) > 0: |
|
89 | base_period_start_datetime_local = str.strip(base_period_start_datetime_local) |
|
90 | try: |
|
91 | base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
92 | except ValueError: |
|
93 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
94 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
|
95 | base_start_datetime_utc = \ |
|
96 | base_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
97 | # nomalize the start datetime |
|
98 | if config.minutes_to_count == 30 and base_start_datetime_utc.minute >= 30: |
|
99 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
100 | else: |
|
101 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
|
102 | ||
103 | base_end_datetime_utc = None |
|
104 | if base_period_end_datetime_local is not None and len(str.strip(base_period_end_datetime_local)) > 0: |
|
105 | base_period_end_datetime_local = str.strip(base_period_end_datetime_local) |
|
106 | try: |
|
107 | base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
108 | except ValueError: |
|
109 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
110 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
|
111 | base_end_datetime_utc = \ |
|
112 | base_end_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
113 | ||
114 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
|
115 | base_start_datetime_utc >= base_end_datetime_utc: |
|
116 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
117 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
|
118 | ||
119 | if reporting_period_start_datetime_local is None: |
|
120 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
121 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
122 | else: |
|
123 | reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) |
|
124 | try: |
|
125 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, |
|
126 | '%Y-%m-%dT%H:%M:%S') |
|
127 | except ValueError: |
|
128 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
129 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
130 | reporting_start_datetime_utc = \ |
|
131 | reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
132 | # nomalize the start datetime |
|
133 | if config.minutes_to_count == 30 and reporting_start_datetime_utc.minute >= 30: |
|
134 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
135 | else: |
|
136 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
|
137 | ||
138 | if reporting_period_end_datetime_local is None: |
|
139 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
140 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
141 | else: |
|
142 | reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) |
|
143 | try: |
|
144 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local, |
|
145 | '%Y-%m-%dT%H:%M:%S') |
|
146 | except ValueError: |
|
147 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
148 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
149 | reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \ |
|
150 | timedelta(minutes=timezone_offset) |
|
151 | ||
152 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
|
153 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
154 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
|
155 | ||
156 | # if turn quick mode on, do not return parameters data and excel file |
|
157 | is_quick_mode = False |
|
158 | if quick_mode is not None and \ |
|
159 | len(str.strip(quick_mode)) > 0 and \ |
|
160 | str.lower(str.strip(quick_mode)) in ('true', 't', 'on', 'yes', 'y'): |
|
161 | is_quick_mode = True |
|
162 | ||
163 | trans = utilities.get_translation(language) |
|
164 | trans.install() |
|
165 | _ = trans.gettext |
|
166 | ||
167 | ################################################################################################################ |
|
168 | # Step 2: query the offline meter and energy category |
|
169 | ################################################################################################################ |
|
170 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
|
171 | cursor_system = cnx_system.cursor() |
|
172 | ||
173 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
|
174 | cursor_energy = cnx_energy.cursor() |
|
175 | ||
176 | cnx_energy_plan = mysql.connector.connect(**config.myems_energy_plan_db) |
|
177 | cursor_energy_plan = cnx_energy_plan.cursor() |
|
178 | ||
179 | cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, " |
|
180 | " ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e " |
|
181 | " FROM tbl_offline_meters m, tbl_energy_categories ec " |
|
182 | " WHERE m.id = %s AND m.energy_category_id = ec.id ", (offline_meter_id,)) |
|
183 | row_offline_meter = cursor_system.fetchone() |
|
184 | if row_offline_meter is None: |
|
185 | if cursor_system: |
|
186 | cursor_system.close() |
|
187 | if cnx_system: |
|
188 | cnx_system.close() |
|
189 | ||
190 | if cursor_energy: |
|
191 | cursor_energy.close() |
|
192 | if cnx_energy: |
|
193 | cnx_energy.close() |
|
194 | ||
195 | if cursor_energy_plan: |
|
196 | cursor_energy_plan.close() |
|
197 | if cnx_energy_plan: |
|
198 | cnx_energy_plan.close() |
|
199 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', |
|
200 | description='API.OFFLINE_METER_NOT_FOUND') |
|
201 | ||
202 | offline_meter = dict() |
|
203 | offline_meter['id'] = row_offline_meter[0] |
|
204 | offline_meter['name'] = row_offline_meter[1] |
|
205 | offline_meter['cost_center_id'] = row_offline_meter[2] |
|
206 | offline_meter['energy_category_id'] = row_offline_meter[3] |
|
207 | offline_meter['energy_category_name'] = row_offline_meter[4] |
|
208 | offline_meter['unit_of_measure'] = row_offline_meter[5] |
|
209 | offline_meter['kgce'] = row_offline_meter[6] |
|
210 | offline_meter['kgco2e'] = row_offline_meter[7] |
|
211 | ||
212 | ################################################################################################################ |
|
213 | # Step 3: query base period energy saving |
|
214 | ################################################################################################################ |
|
215 | base = dict() |
|
216 | base['timestamps'] = list() |
|
217 | base['values_plan'] = list() |
|
218 | base['values_actual'] = list() |
|
219 | base['values_saving'] = list() |
|
220 | base['total_in_category_plan'] = Decimal(0.0) |
|
221 | base['total_in_category_actual'] = Decimal(0.0) |
|
222 | base['total_in_category_saving'] = Decimal(0.0) |
|
223 | base['total_in_kgce_plan'] = Decimal(0.0) |
|
224 | base['total_in_kgce_actual'] = Decimal(0.0) |
|
225 | base['total_in_kgce_saving'] = Decimal(0.0) |
|
226 | base['total_in_kgco2e_plan'] = Decimal(0.0) |
|
227 | base['total_in_kgco2e_actual'] = Decimal(0.0) |
|
228 | base['total_in_kgco2e_saving'] = Decimal(0.0) |
|
229 | ||
230 | # query base period plan |
|
231 | cursor_energy_plan.execute(" SELECT start_datetime_utc, actual_value " |
|
232 | " FROM tbl_offline_meter_hourly " |
|
233 | " WHERE offline_meter_id = %s " |
|
234 | " AND start_datetime_utc >= %s " |
|
235 | " AND start_datetime_utc < %s " |
|
236 | " ORDER BY start_datetime_utc ", |
|
237 | (offline_meter['id'], |
|
238 | base_start_datetime_utc, |
|
239 | base_end_datetime_utc)) |
|
240 | rows_offline_meter_hourly = cursor_energy_plan.fetchall() |
|
241 | ||
242 | rows_offline_meter_periodically = \ |
|
243 | utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly, |
|
244 | base_start_datetime_utc, |
|
245 | base_end_datetime_utc, |
|
246 | period_type) |
|
247 | ||
248 | for row_offline_meter_periodically in rows_offline_meter_periodically: |
|
249 | current_datetime_local = row_offline_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
250 | timedelta(minutes=timezone_offset) |
|
251 | if period_type == 'hourly': |
|
252 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
253 | elif period_type == 'daily': |
|
254 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
255 | elif period_type == 'weekly': |
|
256 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
257 | elif period_type == 'monthly': |
|
258 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
259 | elif period_type == 'yearly': |
|
260 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
261 | ||
262 | actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \ |
|
263 | else row_offline_meter_periodically[1] |
|
264 | base['timestamps'].append(current_datetime) |
|
265 | base['values_plan'].append(actual_value) |
|
266 | base['total_in_category_plan'] += actual_value |
|
267 | base['total_in_kgce_plan'] += actual_value * offline_meter['kgce'] |
|
268 | base['total_in_kgco2e_plan'] += actual_value * offline_meter['kgco2e'] |
|
269 | ||
270 | # query base period actual |
|
271 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
272 | " FROM tbl_offline_meter_hourly " |
|
273 | " WHERE offline_meter_id = %s " |
|
274 | " AND start_datetime_utc >= %s " |
|
275 | " AND start_datetime_utc < %s " |
|
276 | " ORDER BY start_datetime_utc ", |
|
277 | (offline_meter['id'], |
|
278 | base_start_datetime_utc, |
|
279 | base_end_datetime_utc)) |
|
280 | rows_offline_meter_hourly = cursor_energy.fetchall() |
|
281 | ||
282 | rows_offline_meter_periodically = \ |
|
283 | utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly, |
|
284 | base_start_datetime_utc, |
|
285 | base_end_datetime_utc, |
|
286 | period_type) |
|
287 | ||
288 | for row_offline_meter_periodically in rows_offline_meter_periodically: |
|
289 | current_datetime_local = row_offline_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
290 | timedelta(minutes=timezone_offset) |
|
291 | if period_type == 'hourly': |
|
292 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
293 | elif period_type == 'daily': |
|
294 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
295 | elif period_type == 'weekly': |
|
296 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
297 | elif period_type == 'monthly': |
|
298 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
299 | elif period_type == 'yearly': |
|
300 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
301 | ||
302 | actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \ |
|
303 | else row_offline_meter_periodically[1] |
|
304 | base['values_actual'].append(actual_value) |
|
305 | base['total_in_category_actual'] += actual_value |
|
306 | base['total_in_kgce_actual'] += actual_value * offline_meter['kgce'] |
|
307 | base['total_in_kgco2e_actual'] += actual_value * offline_meter['kgco2e'] |
|
308 | ||
309 | # calculate base period saving |
|
310 | for i in range(len(base['values_plan'])): |
|
311 | base['values_saving'].append(base['values_plan'][i] - base['values_actual'][i]) |
|
312 | ||
313 | base['total_in_category_saving'] = base['total_in_category_plan'] - base['total_in_category_actual'] |
|
314 | base['total_in_kgce_saving'] = base['total_in_kgce_plan'] - base['total_in_kgce_actual'] |
|
315 | base['total_in_kgco2e_saving'] = base['total_in_kgco2e_plan'] - base['total_in_kgco2e_actual'] |
|
316 | ||
317 | ################################################################################################################ |
|
318 | # Step 3: query reporting period energy saving |
|
319 | ################################################################################################################ |
|
320 | reporting = dict() |
|
321 | reporting['timestamps'] = list() |
|
322 | reporting['values_plan'] = list() |
|
323 | reporting['values_actual'] = list() |
|
324 | reporting['values_saving'] = list() |
|
325 | reporting['values_rates'] = list() |
|
326 | reporting['total_in_category_plan'] = Decimal(0.0) |
|
327 | reporting['total_in_category_actual'] = Decimal(0.0) |
|
328 | reporting['total_in_category_saving'] = Decimal(0.0) |
|
329 | reporting['total_in_kgce_plan'] = Decimal(0.0) |
|
330 | reporting['total_in_kgce_actual'] = Decimal(0.0) |
|
331 | reporting['total_in_kgce_saving'] = Decimal(0.0) |
|
332 | reporting['total_in_kgco2e_plan'] = Decimal(0.0) |
|
333 | reporting['total_in_kgco2e_actual'] = Decimal(0.0) |
|
334 | reporting['total_in_kgco2e_saving'] = Decimal(0.0) |
|
335 | # query reporting period plan |
|
336 | cursor_energy_plan.execute(" SELECT start_datetime_utc, actual_value " |
|
337 | " FROM tbl_offline_meter_hourly " |
|
338 | " WHERE offline_meter_id = %s " |
|
339 | " AND start_datetime_utc >= %s " |
|
340 | " AND start_datetime_utc < %s " |
|
341 | " ORDER BY start_datetime_utc ", |
|
342 | (offline_meter['id'], |
|
343 | reporting_start_datetime_utc, |
|
344 | reporting_end_datetime_utc)) |
|
345 | rows_offline_meter_hourly = cursor_energy_plan.fetchall() |
|
346 | ||
347 | rows_offline_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly, |
|
348 | reporting_start_datetime_utc, |
|
349 | reporting_end_datetime_utc, |
|
350 | period_type) |
|
351 | ||
352 | for row_offline_meter_periodically in rows_offline_meter_periodically: |
|
353 | current_datetime_local = row_offline_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
354 | timedelta(minutes=timezone_offset) |
|
355 | if period_type == 'hourly': |
|
356 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
357 | elif period_type == 'daily': |
|
358 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
359 | elif period_type == 'weekly': |
|
360 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
361 | elif period_type == 'monthly': |
|
362 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
363 | elif period_type == 'yearly': |
|
364 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
365 | ||
366 | actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \ |
|
367 | else row_offline_meter_periodically[1] |
|
368 | ||
369 | reporting['timestamps'].append(current_datetime) |
|
370 | reporting['values_plan'].append(actual_value) |
|
371 | reporting['total_in_category_plan'] += actual_value |
|
372 | reporting['total_in_kgce_plan'] += actual_value * offline_meter['kgce'] |
|
373 | reporting['total_in_kgco2e_plan'] += actual_value * offline_meter['kgco2e'] |
|
374 | ||
375 | # query reporting period actual |
|
376 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
377 | " FROM tbl_offline_meter_hourly " |
|
378 | " WHERE offline_meter_id = %s " |
|
379 | " AND start_datetime_utc >= %s " |
|
380 | " AND start_datetime_utc < %s " |
|
381 | " ORDER BY start_datetime_utc ", |
|
382 | (offline_meter['id'], |
|
383 | reporting_start_datetime_utc, |
|
384 | reporting_end_datetime_utc)) |
|
385 | rows_offline_meter_hourly = cursor_energy.fetchall() |
|
386 | ||
387 | rows_offline_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly, |
|
388 | reporting_start_datetime_utc, |
|
389 | reporting_end_datetime_utc, |
|
390 | period_type) |
|
391 | ||
392 | for row_offline_meter_periodically in rows_offline_meter_periodically: |
|
393 | current_datetime_local = row_offline_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
394 | timedelta(minutes=timezone_offset) |
|
395 | if period_type == 'hourly': |
|
396 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
397 | elif period_type == 'daily': |
|
398 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
399 | elif period_type == 'weekly': |
|
400 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
401 | elif period_type == 'monthly': |
|
402 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
403 | elif period_type == 'yearly': |
|
404 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
405 | ||
406 | actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \ |
|
407 | else row_offline_meter_periodically[1] |
|
408 | ||
409 | reporting['values_actual'].append(actual_value) |
|
410 | reporting['total_in_category_actual'] += actual_value |
|
411 | reporting['total_in_kgce_actual'] += actual_value * offline_meter['kgce'] |
|
412 | reporting['total_in_kgco2e_actual'] += actual_value * offline_meter['kgco2e'] |
|
413 | ||
414 | # calculate base period saving |
|
415 | for i in range(len(reporting['values_plan'])): |
|
416 | reporting['values_saving'].append(reporting['values_plan'][i] - reporting['values_actual'][i]) |
|
417 | ||
418 | reporting['total_in_category_saving'] = \ |
|
419 | reporting['total_in_category_plan'] - reporting['total_in_category_actual'] |
|
420 | reporting['total_in_kgce_saving'] = \ |
|
421 | reporting['total_in_kgce_plan'] - reporting['total_in_kgce_actual'] |
|
422 | reporting['total_in_kgco2e_saving'] = \ |
|
423 | reporting['total_in_kgco2e_plan'] - reporting['total_in_kgco2e_actual'] |
|
424 | ||
425 | for index, value in enumerate(reporting['values_saving']): |
|
426 | if index < len(base['values_saving']) and base['values_saving'][index] != 0 and value != 0: |
|
427 | reporting['values_rates'].append((value - base['values_saving'][index]) / base['values_saving'][index]) |
|
428 | else: |
|
429 | reporting['values_rates'].append(None) |
|
430 | ||
431 | ################################################################################################################ |
|
432 | # Step 5: query tariff data |
|
433 | ################################################################################################################ |
|
434 | parameters_data = dict() |
|
435 | parameters_data['names'] = list() |
|
436 | parameters_data['timestamps'] = list() |
|
437 | parameters_data['values'] = list() |
|
438 | if config.is_tariff_appended and not is_quick_mode: |
|
439 | tariff_dict = utilities.get_energy_category_tariffs(offline_meter['cost_center_id'], |
|
440 | offline_meter['energy_category_id'], |
|
441 | reporting_start_datetime_utc, |
|
442 | reporting_end_datetime_utc) |
|
443 | tariff_timestamp_list = list() |
|
444 | tariff_value_list = list() |
|
445 | for k, v in tariff_dict.items(): |
|
446 | # convert k from utc to local |
|
447 | k = k + timedelta(minutes=timezone_offset) |
|
448 | tariff_timestamp_list.append(k.isoformat()[0:19]) |
|
449 | tariff_value_list.append(v) |
|
450 | ||
451 | parameters_data['names'].append(_('Tariff') + '-' + offline_meter['energy_category_name']) |
|
452 | parameters_data['timestamps'].append(tariff_timestamp_list) |
|
453 | parameters_data['values'].append(tariff_value_list) |
|
454 | ||
455 | ################################################################################################################ |
|
456 | # Step 6: construct the report |
|
457 | ################################################################################################################ |
|
458 | if cursor_system: |
|
459 | cursor_system.close() |
|
460 | if cnx_system: |
|
461 | cnx_system.close() |
|
462 | ||
463 | if cursor_energy: |
|
464 | cursor_energy.close() |
|
465 | if cnx_energy: |
|
466 | cnx_energy.close() |
|
467 | ||
468 | if cursor_energy_plan: |
|
469 | cursor_energy_plan.close() |
|
470 | if cnx_energy_plan: |
|
471 | cnx_energy_plan.close() |
|
472 | ||
473 | result = { |
|
474 | "offline_meter": { |
|
475 | "cost_center_id": offline_meter['cost_center_id'], |
|
476 | "energy_category_id": offline_meter['energy_category_id'], |
|
477 | "energy_category_name": offline_meter['energy_category_name'], |
|
478 | "unit_of_measure": offline_meter['unit_of_measure'], |
|
479 | "kgce": offline_meter['kgce'], |
|
480 | "kgco2e": offline_meter['kgco2e'], |
|
481 | }, |
|
482 | "base_period": { |
|
483 | "total_in_category_saving": base['total_in_category_saving'], |
|
484 | "total_in_kgce_saving": base['total_in_kgce_saving'], |
|
485 | "total_in_kgco2e_saving": base['total_in_kgco2e_saving'], |
|
486 | "timestamps": base['timestamps'], |
|
487 | "values_saving": base['values_saving'], |
|
488 | }, |
|
489 | "reporting_period": { |
|
490 | "increment_rate_saving": |
|
491 | (reporting['total_in_category_saving'] - base['total_in_category_saving']) / |
|
492 | base['total_in_category_saving'] |
|
493 | if base['total_in_category_saving'] != Decimal(0.0) else None, |
|
494 | "total_in_category_saving": reporting['total_in_category_saving'], |
|
495 | "total_in_kgce_saving": reporting['total_in_kgce_saving'], |
|
496 | "total_in_kgco2e_saving": reporting['total_in_kgco2e_saving'], |
|
497 | "timestamps": reporting['timestamps'], |
|
498 | "values_saving": reporting['values_saving'], |
|
499 | "values_rates": reporting['values_rates'], |
|
500 | }, |
|
501 | "parameters": { |
|
502 | "names": parameters_data['names'], |
|
503 | "timestamps": parameters_data['timestamps'], |
|
504 | "values": parameters_data['values'] |
|
505 | }, |
|
506 | } |
|
507 | ||
508 | # export result to Excel file and then encode the file to base64 string |
|
509 | if not is_quick_mode: |
|
510 | result['excel_bytes_base64'] = \ |
|
511 | excelexporters.offlinemeterplan.export(result, |
|
512 | offline_meter['name'], |
|
513 | base_period_start_datetime_local, |
|
514 | base_period_end_datetime_local, |
|
515 | reporting_period_start_datetime_local, |
|
516 | reporting_period_end_datetime_local, |
|
517 | period_type, |
|
518 | language) |
|
519 | ||
520 | resp.text = json.dumps(result) |
|
521 |
@@ 13-520 (lines=508) @@ | ||
10 | from core.useractivity import access_control, api_key_control |
|
11 | ||
12 | ||
13 | class Reporting: |
|
14 | def __init__(self): |
|
15 | """"Initializes Reporting""" |
|
16 | pass |
|
17 | ||
18 | @staticmethod |
|
19 | def on_options(req, resp): |
|
20 | _ = req |
|
21 | resp.status = falcon.HTTP_200 |
|
22 | ||
23 | #################################################################################################################### |
|
24 | # PROCEDURES |
|
25 | # Step 1: valid parameters |
|
26 | # Step 2: query the offline meter and energy category |
|
27 | # Step 3: query base period energy saving |
|
28 | # Step 4: query reporting period energy saving |
|
29 | # Step 5: query tariff data |
|
30 | # Step 6: construct the report |
|
31 | #################################################################################################################### |
|
32 | @staticmethod |
|
33 | def on_get(req, resp): |
|
34 | if 'API-KEY' not in req.headers or \ |
|
35 | not isinstance(req.headers['API-KEY'], str) or \ |
|
36 | len(str.strip(req.headers['API-KEY'])) == 0: |
|
37 | access_control(req) |
|
38 | else: |
|
39 | api_key_control(req) |
|
40 | print(req.params) |
|
41 | offline_meter_id = req.params.get('offlinemeterid') |
|
42 | offline_meter_uuid = req.params.get('offlinemeteruuid') |
|
43 | period_type = req.params.get('periodtype') |
|
44 | base_period_start_datetime_local = req.params.get('baseperiodstartdatetime') |
|
45 | base_period_end_datetime_local = req.params.get('baseperiodenddatetime') |
|
46 | reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
|
47 | reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime') |
|
48 | language = req.params.get('language') |
|
49 | quick_mode = req.params.get('quickmode') |
|
50 | ||
51 | ################################################################################################################ |
|
52 | # Step 1: valid parameters |
|
53 | ################################################################################################################ |
|
54 | if offline_meter_id is None and offline_meter_uuid is None: |
|
55 | raise falcon.HTTPError(status=falcon.HTTP_400, |
|
56 | title='API.BAD_REQUEST', |
|
57 | description='API.INVALID_offline_meter_id') |
|
58 | ||
59 | if offline_meter_id is not None: |
|
60 | offline_meter_id = str.strip(offline_meter_id) |
|
61 | if not offline_meter_id.isdigit() or int(offline_meter_id) <= 0: |
|
62 | raise falcon.HTTPError(status=falcon.HTTP_400, |
|
63 | title='API.BAD_REQUEST', |
|
64 | description='API.INVALID_offline_meter_id') |
|
65 | ||
66 | if offline_meter_uuid is not None: |
|
67 | regex = re.compile(r'^[a-f0-9]{8}-?[a-f0-9]{4}-?4[a-f0-9]{3}-?[89ab][a-f0-9]{3}-?[a-f0-9]{12}\Z', re.I) |
|
68 | match = regex.match(str.strip(offline_meter_uuid)) |
|
69 | if not bool(match): |
|
70 | raise falcon.HTTPError(status=falcon.HTTP_400, |
|
71 | title='API.BAD_REQUEST', |
|
72 | description='API.INVALID_OFFLINE_METER_UUID') |
|
73 | ||
74 | if period_type is None: |
|
75 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
76 | description='API.INVALID_PERIOD_TYPE') |
|
77 | else: |
|
78 | period_type = str.strip(period_type) |
|
79 | if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
|
80 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
81 | description='API.INVALID_PERIOD_TYPE') |
|
82 | ||
83 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
|
84 | if config.utc_offset[0] == '-': |
|
85 | timezone_offset = -timezone_offset |
|
86 | ||
87 | base_start_datetime_utc = None |
|
88 | if base_period_start_datetime_local is not None and len(str.strip(base_period_start_datetime_local)) > 0: |
|
89 | base_period_start_datetime_local = str.strip(base_period_start_datetime_local) |
|
90 | try: |
|
91 | base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
92 | except ValueError: |
|
93 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
94 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
|
95 | base_start_datetime_utc = \ |
|
96 | base_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
97 | # nomalize the start datetime |
|
98 | if config.minutes_to_count == 30 and base_start_datetime_utc.minute >= 30: |
|
99 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
100 | else: |
|
101 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
|
102 | ||
103 | base_end_datetime_utc = None |
|
104 | if base_period_end_datetime_local is not None and len(str.strip(base_period_end_datetime_local)) > 0: |
|
105 | base_period_end_datetime_local = str.strip(base_period_end_datetime_local) |
|
106 | try: |
|
107 | base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
108 | except ValueError: |
|
109 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
110 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
|
111 | base_end_datetime_utc = \ |
|
112 | base_end_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
113 | ||
114 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
|
115 | base_start_datetime_utc >= base_end_datetime_utc: |
|
116 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
117 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
|
118 | ||
119 | if reporting_period_start_datetime_local is None: |
|
120 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
121 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
122 | else: |
|
123 | reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) |
|
124 | try: |
|
125 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, |
|
126 | '%Y-%m-%dT%H:%M:%S') |
|
127 | except ValueError: |
|
128 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
129 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
130 | reporting_start_datetime_utc = \ |
|
131 | reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
132 | # nomalize the start datetime |
|
133 | if config.minutes_to_count == 30 and reporting_start_datetime_utc.minute >= 30: |
|
134 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
135 | else: |
|
136 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
|
137 | ||
138 | if reporting_period_end_datetime_local is None: |
|
139 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
140 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
141 | else: |
|
142 | reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) |
|
143 | try: |
|
144 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local, |
|
145 | '%Y-%m-%dT%H:%M:%S') |
|
146 | except ValueError: |
|
147 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
148 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
149 | reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \ |
|
150 | timedelta(minutes=timezone_offset) |
|
151 | ||
152 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
|
153 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
154 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
|
155 | ||
156 | # if turn quick mode on, do not return parameters data and excel file |
|
157 | is_quick_mode = False |
|
158 | if quick_mode is not None and \ |
|
159 | len(str.strip(quick_mode)) > 0 and \ |
|
160 | str.lower(str.strip(quick_mode)) in ('true', 't', 'on', 'yes', 'y'): |
|
161 | is_quick_mode = True |
|
162 | ||
163 | trans = utilities.get_translation(language) |
|
164 | trans.install() |
|
165 | _ = trans.gettext |
|
166 | ||
167 | ################################################################################################################ |
|
168 | # Step 2: query the offline meter and energy category |
|
169 | ################################################################################################################ |
|
170 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
|
171 | cursor_system = cnx_system.cursor() |
|
172 | ||
173 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
|
174 | cursor_energy = cnx_energy.cursor() |
|
175 | ||
176 | cnx_energy_baseline = mysql.connector.connect(**config.myems_energy_baseline_db) |
|
177 | cursor_energy_baseline = cnx_energy_baseline.cursor() |
|
178 | ||
179 | cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, " |
|
180 | " ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e " |
|
181 | " FROM tbl_offline_meters m, tbl_energy_categories ec " |
|
182 | " WHERE m.id = %s AND m.energy_category_id = ec.id ", (offline_meter_id,)) |
|
183 | row_offline_meter = cursor_system.fetchone() |
|
184 | if row_offline_meter is None: |
|
185 | if cursor_system: |
|
186 | cursor_system.close() |
|
187 | if cnx_system: |
|
188 | cnx_system.close() |
|
189 | ||
190 | if cursor_energy: |
|
191 | cursor_energy.close() |
|
192 | if cnx_energy: |
|
193 | cnx_energy.close() |
|
194 | ||
195 | if cursor_energy_baseline: |
|
196 | cursor_energy_baseline.close() |
|
197 | if cnx_energy_baseline: |
|
198 | cnx_energy_baseline.close() |
|
199 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', |
|
200 | description='API.OFFLINE_METER_NOT_FOUND') |
|
201 | ||
202 | offline_meter = dict() |
|
203 | offline_meter['id'] = row_offline_meter[0] |
|
204 | offline_meter['name'] = row_offline_meter[1] |
|
205 | offline_meter['cost_center_id'] = row_offline_meter[2] |
|
206 | offline_meter['energy_category_id'] = row_offline_meter[3] |
|
207 | offline_meter['energy_category_name'] = row_offline_meter[4] |
|
208 | offline_meter['unit_of_measure'] = row_offline_meter[5] |
|
209 | offline_meter['kgce'] = row_offline_meter[6] |
|
210 | offline_meter['kgco2e'] = row_offline_meter[7] |
|
211 | ||
212 | ################################################################################################################ |
|
213 | # Step 3: query base period energy saving |
|
214 | ################################################################################################################ |
|
215 | base = dict() |
|
216 | base['timestamps'] = list() |
|
217 | base['values_baseline'] = list() |
|
218 | base['values_actual'] = list() |
|
219 | base['values_saving'] = list() |
|
220 | base['total_in_category_baseline'] = Decimal(0.0) |
|
221 | base['total_in_category_actual'] = Decimal(0.0) |
|
222 | base['total_in_category_saving'] = Decimal(0.0) |
|
223 | base['total_in_kgce_baseline'] = Decimal(0.0) |
|
224 | base['total_in_kgce_actual'] = Decimal(0.0) |
|
225 | base['total_in_kgce_saving'] = Decimal(0.0) |
|
226 | base['total_in_kgco2e_baseline'] = Decimal(0.0) |
|
227 | base['total_in_kgco2e_actual'] = Decimal(0.0) |
|
228 | base['total_in_kgco2e_saving'] = Decimal(0.0) |
|
229 | ||
230 | # query base period baseline |
|
231 | cursor_energy_baseline.execute(" SELECT start_datetime_utc, actual_value " |
|
232 | " FROM tbl_offline_meter_hourly " |
|
233 | " WHERE offline_meter_id = %s " |
|
234 | " AND start_datetime_utc >= %s " |
|
235 | " AND start_datetime_utc < %s " |
|
236 | " ORDER BY start_datetime_utc ", |
|
237 | (offline_meter['id'], |
|
238 | base_start_datetime_utc, |
|
239 | base_end_datetime_utc)) |
|
240 | rows_offline_meter_hourly = cursor_energy_baseline.fetchall() |
|
241 | ||
242 | rows_offline_meter_periodically = \ |
|
243 | utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly, |
|
244 | base_start_datetime_utc, |
|
245 | base_end_datetime_utc, |
|
246 | period_type) |
|
247 | ||
248 | for row_offline_meter_periodically in rows_offline_meter_periodically: |
|
249 | current_datetime_local = row_offline_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
250 | timedelta(minutes=timezone_offset) |
|
251 | if period_type == 'hourly': |
|
252 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
253 | elif period_type == 'daily': |
|
254 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
255 | elif period_type == 'weekly': |
|
256 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
257 | elif period_type == 'monthly': |
|
258 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
259 | elif period_type == 'yearly': |
|
260 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
261 | ||
262 | actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \ |
|
263 | else row_offline_meter_periodically[1] |
|
264 | base['timestamps'].append(current_datetime) |
|
265 | base['values_baseline'].append(actual_value) |
|
266 | base['total_in_category_baseline'] += actual_value |
|
267 | base['total_in_kgce_baseline'] += actual_value * offline_meter['kgce'] |
|
268 | base['total_in_kgco2e_baseline'] += actual_value * offline_meter['kgco2e'] |
|
269 | ||
270 | # query base period actual |
|
271 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
272 | " FROM tbl_offline_meter_hourly " |
|
273 | " WHERE offline_meter_id = %s " |
|
274 | " AND start_datetime_utc >= %s " |
|
275 | " AND start_datetime_utc < %s " |
|
276 | " ORDER BY start_datetime_utc ", |
|
277 | (offline_meter['id'], |
|
278 | base_start_datetime_utc, |
|
279 | base_end_datetime_utc)) |
|
280 | rows_offline_meter_hourly = cursor_energy.fetchall() |
|
281 | ||
282 | rows_offline_meter_periodically = \ |
|
283 | utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly, |
|
284 | base_start_datetime_utc, |
|
285 | base_end_datetime_utc, |
|
286 | period_type) |
|
287 | ||
288 | for row_offline_meter_periodically in rows_offline_meter_periodically: |
|
289 | current_datetime_local = row_offline_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
290 | timedelta(minutes=timezone_offset) |
|
291 | if period_type == 'hourly': |
|
292 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
293 | elif period_type == 'daily': |
|
294 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
295 | elif period_type == 'weekly': |
|
296 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
297 | elif period_type == 'monthly': |
|
298 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
299 | elif period_type == 'yearly': |
|
300 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
301 | ||
302 | actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \ |
|
303 | else row_offline_meter_periodically[1] |
|
304 | base['values_actual'].append(actual_value) |
|
305 | base['total_in_category_actual'] += actual_value |
|
306 | base['total_in_kgce_actual'] += actual_value * offline_meter['kgce'] |
|
307 | base['total_in_kgco2e_actual'] += actual_value * offline_meter['kgco2e'] |
|
308 | ||
309 | # calculate base period saving |
|
310 | for i in range(len(base['values_baseline'])): |
|
311 | base['values_saving'].append(base['values_baseline'][i] - base['values_actual'][i]) |
|
312 | ||
313 | base['total_in_category_saving'] = base['total_in_category_baseline'] - base['total_in_category_actual'] |
|
314 | base['total_in_kgce_saving'] = base['total_in_kgce_baseline'] - base['total_in_kgce_actual'] |
|
315 | base['total_in_kgco2e_saving'] = base['total_in_kgco2e_baseline'] - base['total_in_kgco2e_actual'] |
|
316 | ||
317 | ################################################################################################################ |
|
318 | # Step 3: query reporting period energy saving |
|
319 | ################################################################################################################ |
|
320 | reporting = dict() |
|
321 | reporting['timestamps'] = list() |
|
322 | reporting['values_baseline'] = list() |
|
323 | reporting['values_actual'] = list() |
|
324 | reporting['values_saving'] = list() |
|
325 | reporting['values_rates'] = list() |
|
326 | reporting['total_in_category_baseline'] = Decimal(0.0) |
|
327 | reporting['total_in_category_actual'] = Decimal(0.0) |
|
328 | reporting['total_in_category_saving'] = Decimal(0.0) |
|
329 | reporting['total_in_kgce_baseline'] = Decimal(0.0) |
|
330 | reporting['total_in_kgce_actual'] = Decimal(0.0) |
|
331 | reporting['total_in_kgce_saving'] = Decimal(0.0) |
|
332 | reporting['total_in_kgco2e_baseline'] = Decimal(0.0) |
|
333 | reporting['total_in_kgco2e_actual'] = Decimal(0.0) |
|
334 | reporting['total_in_kgco2e_saving'] = Decimal(0.0) |
|
335 | # query reporting period baseline |
|
336 | cursor_energy_baseline.execute(" SELECT start_datetime_utc, actual_value " |
|
337 | " FROM tbl_offline_meter_hourly " |
|
338 | " WHERE offline_meter_id = %s " |
|
339 | " AND start_datetime_utc >= %s " |
|
340 | " AND start_datetime_utc < %s " |
|
341 | " ORDER BY start_datetime_utc ", |
|
342 | (offline_meter['id'], |
|
343 | reporting_start_datetime_utc, |
|
344 | reporting_end_datetime_utc)) |
|
345 | rows_offline_meter_hourly = cursor_energy_baseline.fetchall() |
|
346 | ||
347 | rows_offline_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly, |
|
348 | reporting_start_datetime_utc, |
|
349 | reporting_end_datetime_utc, |
|
350 | period_type) |
|
351 | ||
352 | for row_offline_meter_periodically in rows_offline_meter_periodically: |
|
353 | current_datetime_local = row_offline_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
354 | timedelta(minutes=timezone_offset) |
|
355 | if period_type == 'hourly': |
|
356 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
357 | elif period_type == 'daily': |
|
358 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
359 | elif period_type == 'weekly': |
|
360 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
361 | elif period_type == 'monthly': |
|
362 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
363 | elif period_type == 'yearly': |
|
364 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
365 | ||
366 | actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \ |
|
367 | else row_offline_meter_periodically[1] |
|
368 | ||
369 | reporting['timestamps'].append(current_datetime) |
|
370 | reporting['values_baseline'].append(actual_value) |
|
371 | reporting['total_in_category_baseline'] += actual_value |
|
372 | reporting['total_in_kgce_baseline'] += actual_value * offline_meter['kgce'] |
|
373 | reporting['total_in_kgco2e_baseline'] += actual_value * offline_meter['kgco2e'] |
|
374 | ||
375 | # query reporting period actual |
|
376 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
377 | " FROM tbl_offline_meter_hourly " |
|
378 | " WHERE offline_meter_id = %s " |
|
379 | " AND start_datetime_utc >= %s " |
|
380 | " AND start_datetime_utc < %s " |
|
381 | " ORDER BY start_datetime_utc ", |
|
382 | (offline_meter['id'], |
|
383 | reporting_start_datetime_utc, |
|
384 | reporting_end_datetime_utc)) |
|
385 | rows_offline_meter_hourly = cursor_energy.fetchall() |
|
386 | ||
387 | rows_offline_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly, |
|
388 | reporting_start_datetime_utc, |
|
389 | reporting_end_datetime_utc, |
|
390 | period_type) |
|
391 | ||
392 | for row_offline_meter_periodically in rows_offline_meter_periodically: |
|
393 | current_datetime_local = row_offline_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
394 | timedelta(minutes=timezone_offset) |
|
395 | if period_type == 'hourly': |
|
396 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
397 | elif period_type == 'daily': |
|
398 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
399 | elif period_type == 'weekly': |
|
400 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
401 | elif period_type == 'monthly': |
|
402 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
403 | elif period_type == 'yearly': |
|
404 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
405 | ||
406 | actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \ |
|
407 | else row_offline_meter_periodically[1] |
|
408 | ||
409 | reporting['values_actual'].append(actual_value) |
|
410 | reporting['total_in_category_actual'] += actual_value |
|
411 | reporting['total_in_kgce_actual'] += actual_value * offline_meter['kgce'] |
|
412 | reporting['total_in_kgco2e_actual'] += actual_value * offline_meter['kgco2e'] |
|
413 | ||
414 | # calculate base period saving |
|
415 | for i in range(len(reporting['values_baseline'])): |
|
416 | reporting['values_saving'].append(reporting['values_baseline'][i] - reporting['values_actual'][i]) |
|
417 | ||
418 | reporting['total_in_category_saving'] = \ |
|
419 | reporting['total_in_category_baseline'] - reporting['total_in_category_actual'] |
|
420 | reporting['total_in_kgce_saving'] = \ |
|
421 | reporting['total_in_kgce_baseline'] - reporting['total_in_kgce_actual'] |
|
422 | reporting['total_in_kgco2e_saving'] = \ |
|
423 | reporting['total_in_kgco2e_baseline'] - reporting['total_in_kgco2e_actual'] |
|
424 | ||
425 | for index, value in enumerate(reporting['values_saving']): |
|
426 | if index < len(base['values_saving']) and base['values_saving'][index] != 0 and value != 0: |
|
427 | reporting['values_rates'].append((value - base['values_saving'][index]) / base['values_saving'][index]) |
|
428 | else: |
|
429 | reporting['values_rates'].append(None) |
|
430 | ||
431 | ################################################################################################################ |
|
432 | # Step 5: query tariff data |
|
433 | ################################################################################################################ |
|
434 | parameters_data = dict() |
|
435 | parameters_data['names'] = list() |
|
436 | parameters_data['timestamps'] = list() |
|
437 | parameters_data['values'] = list() |
|
438 | if config.is_tariff_appended and not is_quick_mode: |
|
439 | tariff_dict = utilities.get_energy_category_tariffs(offline_meter['cost_center_id'], |
|
440 | offline_meter['energy_category_id'], |
|
441 | reporting_start_datetime_utc, |
|
442 | reporting_end_datetime_utc) |
|
443 | tariff_timestamp_list = list() |
|
444 | tariff_value_list = list() |
|
445 | for k, v in tariff_dict.items(): |
|
446 | # convert k from utc to local |
|
447 | k = k + timedelta(minutes=timezone_offset) |
|
448 | tariff_timestamp_list.append(k.isoformat()[0:19]) |
|
449 | tariff_value_list.append(v) |
|
450 | ||
451 | parameters_data['names'].append(_('Tariff') + '-' + offline_meter['energy_category_name']) |
|
452 | parameters_data['timestamps'].append(tariff_timestamp_list) |
|
453 | parameters_data['values'].append(tariff_value_list) |
|
454 | ||
455 | ################################################################################################################ |
|
456 | # Step 6: construct the report |
|
457 | ################################################################################################################ |
|
458 | if cursor_system: |
|
459 | cursor_system.close() |
|
460 | if cnx_system: |
|
461 | cnx_system.close() |
|
462 | ||
463 | if cursor_energy: |
|
464 | cursor_energy.close() |
|
465 | if cnx_energy: |
|
466 | cnx_energy.close() |
|
467 | ||
468 | if cursor_energy_baseline: |
|
469 | cursor_energy_baseline.close() |
|
470 | if cnx_energy_baseline: |
|
471 | cnx_energy_baseline.close() |
|
472 | ||
473 | result = { |
|
474 | "offline_meter": { |
|
475 | "cost_center_id": offline_meter['cost_center_id'], |
|
476 | "energy_category_id": offline_meter['energy_category_id'], |
|
477 | "energy_category_name": offline_meter['energy_category_name'], |
|
478 | "unit_of_measure": offline_meter['unit_of_measure'], |
|
479 | "kgce": offline_meter['kgce'], |
|
480 | "kgco2e": offline_meter['kgco2e'], |
|
481 | }, |
|
482 | "base_period": { |
|
483 | "total_in_category_saving": base['total_in_category_saving'], |
|
484 | "total_in_kgce_saving": base['total_in_kgce_saving'], |
|
485 | "total_in_kgco2e_saving": base['total_in_kgco2e_saving'], |
|
486 | "timestamps": base['timestamps'], |
|
487 | "values_saving": base['values_saving'], |
|
488 | }, |
|
489 | "reporting_period": { |
|
490 | "increment_rate_saving": |
|
491 | (reporting['total_in_category_saving'] - base['total_in_category_saving']) / |
|
492 | base['total_in_category_saving'] |
|
493 | if base['total_in_category_saving'] != Decimal(0.0) else None, |
|
494 | "total_in_category_saving": reporting['total_in_category_saving'], |
|
495 | "total_in_kgce_saving": reporting['total_in_kgce_saving'], |
|
496 | "total_in_kgco2e_saving": reporting['total_in_kgco2e_saving'], |
|
497 | "timestamps": reporting['timestamps'], |
|
498 | "values_saving": reporting['values_saving'], |
|
499 | "values_rates": reporting['values_rates'], |
|
500 | }, |
|
501 | "parameters": { |
|
502 | "names": parameters_data['names'], |
|
503 | "timestamps": parameters_data['timestamps'], |
|
504 | "values": parameters_data['values'] |
|
505 | }, |
|
506 | } |
|
507 | ||
508 | # export result to Excel file and then encode the file to base64 string |
|
509 | if not is_quick_mode: |
|
510 | result['excel_bytes_base64'] = \ |
|
511 | excelexporters.offlinemetersaving.export(result, |
|
512 | offline_meter['name'], |
|
513 | base_period_start_datetime_local, |
|
514 | base_period_end_datetime_local, |
|
515 | reporting_period_start_datetime_local, |
|
516 | reporting_period_end_datetime_local, |
|
517 | period_type, |
|
518 | language) |
|
519 | ||
520 | resp.text = json.dumps(result) |
|
521 |