fix(history): model sparse publication without relaxing live freshness
This commit is contained in:
ENELIX Agent
@@ -10,6 +10,7 @@ COPY gui ./gui
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COPY release_preflight.py forecast_acceptance.py deploy_integrated_shadow.py approved_previous_assets.json ./
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COPY acceptance ./acceptance
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COPY commissioning/deploy_application.py ./commissioning/deploy_application.py
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COPY commissioning/deploy_history_timing.py ./commissioning/deploy_history_timing.py
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# Host sources can be 0600/0700. COPY makes them root-owned.
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# Normalize only packaged application code; never change host secrets or sockets.
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RUN find /app -type d -exec chmod 0755 {} + \
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@@ -1,7 +1,7 @@
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{
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"sourceHashes": {
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".dockerignore": "fab6861d98f34e54646ae966b237e792fc0a0b4f95f1df3b62a1f062cbb8f790",
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"Dockerfile": "655c600a0364e91d47bfc80faaf27e26362bfc2683c8e57b653d913133865713",
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"Dockerfile": "f61404d65d9c031d0ddd5db9d2fa52279e39b1bd6015249a375b9167c744ae90",
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"acceptance/Dockerfile.php": "715a2d232d7f901bd6ca1f2e453b7b7f48fc1d7f49bff8944a7d277a8dc30062",
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"acceptance/check_forecast.py": "ccee58ec1078767a580f15f895506eceeb15e13b54e8eb9b4905cc03ba14ccd5",
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"acceptance/forecast-src/SOURCE_MANIFEST.json": "8103775396c58d82921e2e2a1513ee185ae2431200763717544ff9b1da181fe5",
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@@ -58,7 +58,7 @@
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"netplan_v4/controlled_trial.py": "4d4bd8ed97050b3bf5872c839e4bcc2fc9dcb9f2e0a8c66a4611bbd50bf9e1c4",
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"netplan_v4/domain.py": "03aadfb6d69f349041c872e105b3ae31e880b507a630f82bdd774948a618b39b",
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"netplan_v4/forecast_quality.py": "b656868538cb822dc1dec97c7726bcc47d78744a1db3ce02a11d259ba9c2a840",
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"netplan_v4/measurement_pipeline.py": "caab05a69ac28c086f06b10b20460330b4c3721a6467417542d7666ce82ac743",
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"netplan_v4/measurement_pipeline.py": "17e59c8e8d7403f107e95620260c7b71d9f51e8165c0c29944bb931c55c4001d",
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"netplan_v4/meter_runtime.py": "43275072a212351fa35d34ed2f4932a259112d516d594fad19a7e2b3fd44c547",
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"netplan_v4/metering.py": "9ed4d3747de76f646d7be603cbdf37a3fc971109605705017c6644c0baa80987",
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"netplan_v4/optimizer.py": "bf1ad3dcadf10c84e76f6758525fc1309b9f665853c660a1107c1347f1ce9063",
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@@ -87,7 +87,13 @@
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"tests/test_peak_release.py": "223f4374111cfab99ef352a71a7b91a7f71abc4ed126f2c180b138d1bd390d3d",
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"tests/test_receiver_contract.py": "21daccb358fa62a983d2292d5de2b9b3c7300a08e314e850749316a24d3d254e",
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"tests/test_release_preflight.py": "64104923bea0890e5010471466de87c289a97bca7dd29d56734d0009e79f24d8",
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"tests/test_v4.py": "c35db22a864aa0afc4d0abc357ae854f038e86de8e3001760c0e63ce036a7763"
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"tests/test_v4.py": "c35db22a864aa0afc4d0abc357ae854f038e86de8e3001760c0e63ce036a7763",
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"netplan_v4/history_timing.py": "d2992e15d8d1a4f79d068405eefba4d4b37a4326afb09064cfd7c098822ec63f",
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"tests/test_history_timing.py": "7a11d52c779cd25f44bc2bb56a758b862154e2c8df6987046e18eace46ed51a2",
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"tests/test_history_timing_deployment.py": "7508d24b70c1fa4c33e21fbad4e99d5bff23e262d91222df5b0405e937c96d2e",
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"commissioning/deploy_history_timing.py": "7769a473927bb10acf1ba1aef902e6b14fdf26b548d58056b557e6e4c33f62eb",
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"commissioning/history-timing-source/dataset.json": "671216e1cc04148f4f553103077bcb4500bf0120cb74780703bfcf26cd1121d3",
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"commissioning/history-timing-source/RELEASE.json": "14cb690a357c40f698c2e9b4190933318396b9c08e15cc4ad9f9f4439d6054ca"
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},
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"packagedAt": "2026-10-02T21:00:35.231591+00:00",
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"runtimeChanged": false
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@@ -0,0 +1,146 @@
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"""Install the tested historical-publication correction in the V4 service only.
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Default is source validation. --apply requires root. No Symcon changes, polling,
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portal restart, old-data rewrite, forecast-source switch or actuator permission.
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"""
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from datetime import datetime, timezone
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from pathlib import Path
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import argparse
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import hashlib
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import json
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import os
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import subprocess
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ROOT = Path(__file__).resolve().parents[1]
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PACKAGE = Path(__file__).with_name('history-timing-source')
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TARGETS = ('Dockerfile', 'netplan_v4/history_timing.py', 'netplan_v4/measurement_pipeline.py',
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'tests/test_history_timing.py', 'tests/test_history_timing_deployment.py')
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def digest(path):
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if path.is_symlink():
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raise ValueError('Source symlink refused')
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return hashlib.sha256(path.read_bytes()).hexdigest() if path.is_file() else None
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def verify():
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manifest = json.loads((PACKAGE/'RELEASE.json').read_text())
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if manifest.get('scope') != 'historical_publication_only' or tuple(manifest.get('files', {})) != TARGETS:
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raise ValueError('Unexpected timing release scope')
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for name, versions in manifest['files'].items():
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if digest(PACKAGE/'source'/name) != versions['after']:
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raise ValueError('Timing candidate changed: '+name)
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if digest(ROOT/name) not in (versions['before'], versions['after']):
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raise ValueError('Concurrent application change: '+name)
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if digest(PACKAGE/'dataset.json') != manifest['datasetSha256']:
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raise ValueError('Dataset candidate changed')
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if digest(ROOT/'commissioning/deploy_application.py') != manifest['existingDeploymentHelperSha256']:
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raise ValueError('Existing deployment helper changed')
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if digest(Path(__file__).resolve()) != manifest['installerSha256']:
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raise ValueError('Timing installer changed')
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return manifest
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BOOTSTRAP = r'''import json,os,sys,time,urllib.request
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payload=json.load(sys.stdin)
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base='http://127.0.0.1:9100/internal/v2/prognosis/'+payload['plant']+'/planner'
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headers={'X-Enelix-Service-Token':os.environ['PROGNOSIS_SERVICE_TOKEN'],'Content-Type':'application/json'}
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def get():
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return json.load(urllib.request.urlopen(urllib.request.Request(base,headers=headers),timeout=10))
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before=get()
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assert before['dataPipeline'].get('historyTimingVersion')==1
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assert before['liveEnabled'] is False
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req=urllib.request.Request(base+'/datasets/'+payload['dataset']['datasetId'],
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data=json.dumps(payload['dataset']).encode(),headers=headers,method='PUT')
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receipt=json.load(urllib.request.urlopen(req,timeout=10))
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after=get()
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assert before['settings']==after['settings'] and after['liveEnabled'] is False
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view=next(d for d in after['dataPipeline']['datasets'] if d['datasetId']==payload['dataset']['datasetId'])
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print(json.dumps({'dataset':receipt,'originalObservationDataset':view['observationDatasetId'],
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'availableRecords':view['records'],'pipelineStatus':view['status'],
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'settingsUnchanged':True,'forecastSource':after['settings']['forecastSource'],
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'liveEnabled':False}))
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'''
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def run(plant, apply=False):
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manifest = verify()
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if plant != manifest['installationId']:
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raise ValueError('Use the reviewed installation')
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if not apply:
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print('HISTORY TIMING SOURCE CHECK PASSED; no runtime changes.')
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return
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if os.geteuid() != 0:
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raise ValueError('Run as root; do not change Docker permissions')
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# Reuse the reviewed atomic-write and consistent-backup implementation.
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from deploy_application import atomic, backup_database
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folder = ROOT/'history-timing-releases'/datetime.now(timezone.utc).strftime('%Y%m%dT%H%M%S.%fZ')
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folder.mkdir(parents=True, mode=0o700)
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result={'scope':'historical_publication_only','startedAt':datetime.now(timezone.utc).isoformat(),
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'steps':[],'liveEnabled':False,'symconChanged':False,'pollingChanged':False,
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'sourceFreshnessLimitsChanged':False,'forecastSelectionChanged':False}
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compose=['docker','compose','-f',str(ROOT/'compose.yaml')]
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env={**os.environ,'NETPLAN_V4_PLANTS':plant}
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def cmd(args, timeout=180, capture=False, data=None):
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return subprocess.run(args,cwd=ROOT,env=env,check=True,timeout=timeout,text=True,input=data,
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stdout=subprocess.PIPE if capture else None,stderr=subprocess.PIPE if capture else None)
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changed={}; previous_image=None; replaced=False
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try:
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ids=cmd(compose+['ps','-q','netplan-v4'],capture=True).stdout.split()
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if len(ids)!=1: raise ValueError('Expected one running V4 container')
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previous_image=cmd(['docker','inspect','--format','{{.Image}}',ids[0]],capture=True).stdout.strip()
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result['previousImage']=previous_image
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for name, versions in manifest['files'].items():
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target=ROOT/name; content=(PACKAGE/'source'/name).read_bytes()
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before=target.read_bytes() if target.is_file() else None
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if digest(target)==versions['after']: continue
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if digest(target)!=versions['before']: raise ValueError('Concurrent source change')
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backup=folder/'source-before'/name; backup.parent.mkdir(parents=True,exist_ok=True)
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if before is not None: backup.write_bytes(before)
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atomic(target,content); changed[name]=(before,content)
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verify()
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cmd(compose+['build','netplan-v4'],timeout=900)
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cmd(compose+['run','--rm','--no-deps','--entrypoint','python','netplan-v4','/app/run_tests.py'],timeout=240)
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result['steps'].append('target_tests_passed'); verify()
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backup_database(ROOT/'data/netplan-v4.sqlite',folder/'before.sqlite')
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result['steps'].append('consistent_database_backup')
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rollback=folder/'rollback.yaml'
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rollback.write_text('services:\n netplan-v4:\n image: '+previous_image+'\n')
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replaced=True
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cmd(compose+['up','-d','--no-deps','--no-build','--wait','netplan-v4'])
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payload=json.dumps({'plant':plant,'dataset':json.loads((PACKAGE/'dataset.json').read_text())})
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response=cmd(compose+['exec','-T','netplan-v4','python','-c',BOOTSTRAP],capture=True,data=payload)
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result['application']=json.loads(response.stdout)
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result['status']='historical_timing_installed_no_actuation'
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result['steps'].append('versioned_dataset_registered_original_observations_retained')
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except Exception as exc:
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result['status']='needs_review';result['errorType']=type(exc).__name__
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conflicts=[]
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for name,(before,after) in changed.items():
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path=ROOT/name
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if digest(path)!=hashlib.sha256(after).hexdigest(): conflicts.append(name);continue
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if before is None:path.unlink()
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else:atomic(path,before)
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result['concurrentFilesNotOverwritten']=conflicts
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if replaced and previous_image:
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try:
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cmd(compose+['-f',str(folder/'rollback.yaml'),'up','-d','--no-deps','--no-build','--pull','never','--wait','netplan-v4'])
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result['rollback']='previous_image_restored_additive_dataset_retained'
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except Exception: result['rollback']='manual_review_required'
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raise
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finally:
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result['finishedAt']=datetime.now(timezone.utc).isoformat()
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report=folder/'REPORT.json';report.write_text(json.dumps(result,indent=2)+'\n')
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uid,gid=ROOT.stat().st_uid,ROOT.stat().st_gid
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for path in (folder.parent,folder,report):os.chown(path,uid,gid)
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report.chmod(0o640)
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print('HISTORY TIMING REPORT:',report)
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print('Only V4 updated. Original data, manager, polling, forecast selection and actuator permissions unchanged.')
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if __name__=='__main__':
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parser=argparse.ArgumentParser(description=__doc__)
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parser.add_argument('--plant',required=True);parser.add_argument('--apply',action='store_true')
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args=parser.parse_args()
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try:run(args.plant,args.apply)
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except Exception as exc:raise SystemExit('Stopped: '+type(exc).__name__+'. See HISTORY TIMING REPORT; do not enable actuators.')
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@@ -0,0 +1,29 @@
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{
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"scope": "historical_publication_only",
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"installationId": "e3a08f9e-af12-4695-99bd-8b51c0520021",
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"files": {
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"Dockerfile": {
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"before": "655c600a0364e91d47bfc80faaf27e26362bfc2683c8e57b653d913133865713",
|
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"after": "f61404d65d9c031d0ddd5db9d2fa52279e39b1bd6015249a375b9167c744ae90"
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},
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"netplan_v4/history_timing.py": {
|
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"before": null,
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"after": "d2992e15d8d1a4f79d068405eefba4d4b37a4326afb09064cfd7c098822ec63f"
|
||||
},
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"netplan_v4/measurement_pipeline.py": {
|
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"before": "caab05a69ac28c086f06b10b20460330b4c3721a6467417542d7666ce82ac743",
|
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"after": "17e59c8e8d7403f107e95620260c7b71d9f51e8165c0c29944bb931c55c4001d"
|
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},
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"tests/test_history_timing.py": {
|
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"before": null,
|
||||
"after": "7a11d52c779cd25f44bc2bb56a758b862154e2c8df6987046e18eace46ed51a2"
|
||||
},
|
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"tests/test_history_timing_deployment.py": {
|
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"before": null,
|
||||
"after": "7508d24b70c1fa4c33e21fbad4e99d5bff23e262d91222df5b0405e937c96d2e"
|
||||
}
|
||||
},
|
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"datasetSha256": "671216e1cc04148f4f553103077bcb4500bf0120cb74780703bfcf26cd1121d3",
|
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"installerSha256": "7769a473927bb10acf1ba1aef902e6b14fdf26b548d58056b557e6e4c33f62eb",
|
||||
"existingDeploymentHelperSha256": "8fabbbbf41e00be677a6f109690758035bbe098f9161d9c44865b28ab7f1bd4e"
|
||||
}
|
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@@ -0,0 +1,206 @@
|
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{
|
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"datasetId": "lihrenmoos-physical-published-v2",
|
||||
"mappingSha256": "517d1907631c7f152096e21759bb3452cdd0b4b1b73f91f1c7cd3bd62d8aaa8b",
|
||||
"inventorySha256": "0a9dde190d81bc263da222ad8bfb6268295ea03aec239f6c1fcd249b3d34c1bc",
|
||||
"sources": [
|
||||
{
|
||||
"key": "grid",
|
||||
"variableId": 40348,
|
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"factorToW": 1000,
|
||||
"maxAgeSeconds": 60,
|
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"role": "grid"
|
||||
},
|
||||
{
|
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"key": "pv_goodwe1",
|
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"variableId": 48459,
|
||||
"factorToW": 1,
|
||||
"maxAgeSeconds": 60,
|
||||
"role": "pv"
|
||||
},
|
||||
{
|
||||
"key": "pv_goodwe2",
|
||||
"variableId": 53802,
|
||||
"factorToW": 1,
|
||||
"maxAgeSeconds": 60,
|
||||
"role": "pv"
|
||||
},
|
||||
{
|
||||
"key": "pv_solaredge",
|
||||
"variableId": 20335,
|
||||
"factorToW": 1,
|
||||
"maxAgeSeconds": 60,
|
||||
"role": "pv"
|
||||
},
|
||||
{
|
||||
"key": "physical_goodwe1",
|
||||
"variableId": 47725,
|
||||
"factorToW": -1,
|
||||
"maxAgeSeconds": 60,
|
||||
"role": "physical_storage"
|
||||
},
|
||||
{
|
||||
"key": "physical_goodwe2",
|
||||
"variableId": 35724,
|
||||
"factorToW": -1,
|
||||
"maxAgeSeconds": 60,
|
||||
"role": "physical_storage"
|
||||
},
|
||||
{
|
||||
"key": "physical_solaredge",
|
||||
"variableId": 21447,
|
||||
"factorToW": 1,
|
||||
"maxAgeSeconds": 60,
|
||||
"role": "physical_storage"
|
||||
},
|
||||
{
|
||||
"key": "ev_account",
|
||||
"variableId": 52020,
|
||||
"factorToW": 1,
|
||||
"maxAgeSeconds": 60,
|
||||
"role": "reference"
|
||||
},
|
||||
{
|
||||
"key": "sdl_account",
|
||||
"variableId": 25085,
|
||||
"factorToW": 1,
|
||||
"maxAgeSeconds": 60,
|
||||
"role": "reference"
|
||||
},
|
||||
{
|
||||
"key": "grid_display",
|
||||
"variableId": 49301,
|
||||
"role": "reference",
|
||||
"factorToW": 1,
|
||||
"maxAgeSeconds": 60
|
||||
},
|
||||
{
|
||||
"key": "soc_goodwe1",
|
||||
"variableId": 27361,
|
||||
"role": "reference",
|
||||
"factorToW": 1,
|
||||
"maxAgeSeconds": 60
|
||||
},
|
||||
{
|
||||
"key": "soc_goodwe2",
|
||||
"variableId": 23109,
|
||||
"role": "reference",
|
||||
"factorToW": 1,
|
||||
"maxAgeSeconds": 60
|
||||
},
|
||||
{
|
||||
"key": "soc_solaredge",
|
||||
"variableId": 51938,
|
||||
"role": "reference",
|
||||
"factorToW": 1,
|
||||
"maxAgeSeconds": 60
|
||||
},
|
||||
{
|
||||
"key": "soc_ev",
|
||||
"variableId": 32871,
|
||||
"role": "reference",
|
||||
"factorToW": 1,
|
||||
"maxAgeSeconds": 60
|
||||
},
|
||||
{
|
||||
"key": "soc_sdl",
|
||||
"variableId": 23879,
|
||||
"role": "reference",
|
||||
"factorToW": 1,
|
||||
"maxAgeSeconds": 60
|
||||
},
|
||||
{
|
||||
"key": "ev_available_charge",
|
||||
"variableId": 50230,
|
||||
"role": "reference",
|
||||
"factorToW": 1,
|
||||
"maxAgeSeconds": 60
|
||||
},
|
||||
{
|
||||
"key": "ev_available_discharge",
|
||||
"variableId": 43899,
|
||||
"role": "reference",
|
||||
"factorToW": 1,
|
||||
"maxAgeSeconds": 60
|
||||
},
|
||||
{
|
||||
"key": "energy_t1",
|
||||
"variableId": 59607,
|
||||
"role": "reference",
|
||||
"factorToW": 1,
|
||||
"maxAgeSeconds": 60
|
||||
},
|
||||
{
|
||||
"key": "energy_t2",
|
||||
"variableId": 26620,
|
||||
"role": "reference",
|
||||
"factorToW": 1,
|
||||
"maxAgeSeconds": 60
|
||||
},
|
||||
{
|
||||
"key": "ev_requested",
|
||||
"variableId": 19651,
|
||||
"role": "reference",
|
||||
"factorToW": 1,
|
||||
"maxAgeSeconds": 60
|
||||
},
|
||||
{
|
||||
"key": "sdl_requested",
|
||||
"variableId": 38943,
|
||||
"role": "sdl_request",
|
||||
"factorToW": 1,
|
||||
"maxAgeSeconds": 120
|
||||
},
|
||||
{
|
||||
"key": "solar_ac_value",
|
||||
"variableId": 37975,
|
||||
"role": "solar_raw",
|
||||
"factorToW": 1,
|
||||
"maxAgeSeconds": 60
|
||||
},
|
||||
{
|
||||
"key": "solar_ac_scale",
|
||||
"variableId": 41853,
|
||||
"role": "solar_scale",
|
||||
"factorToW": 1,
|
||||
"maxAgeSeconds": 60
|
||||
}
|
||||
],
|
||||
"formula": "solar_terminal_v1",
|
||||
"solarReference": {
|
||||
"pvKey": "pv_solaredge",
|
||||
"batteryKey": "physical_solaredge",
|
||||
"rawKey": "solar_ac_value",
|
||||
"scaleKey": "solar_ac_scale"
|
||||
},
|
||||
"minimumCoverage": 0.95,
|
||||
"maximumGapSeconds": 10,
|
||||
"minimumTrainingHours": 24,
|
||||
"historyDays": 28,
|
||||
"sourceDatasetId": "lihrenmoos-physical-v1",
|
||||
"historyTimingPolicy": {
|
||||
"version": 1,
|
||||
"method": "equal_endpoint_v1",
|
||||
"sources": {
|
||||
"pv_goodwe1": {
|
||||
"maxSpanSeconds": 130,
|
||||
"evidenceId": "symcon-modbus-publish60-poll60-jitter10"
|
||||
},
|
||||
"physical_goodwe1": {
|
||||
"maxSpanSeconds": 130,
|
||||
"evidenceId": "symcon-modbus-publish60-poll60-jitter10"
|
||||
},
|
||||
"pv_goodwe2": {
|
||||
"maxSpanSeconds": 75,
|
||||
"evidenceId": "symcon-modbus-publish60-poll5-jitter10"
|
||||
},
|
||||
"physical_goodwe2": {
|
||||
"maxSpanSeconds": 75,
|
||||
"evidenceId": "symcon-modbus-publish60-poll5-jitter10"
|
||||
},
|
||||
"solar_ac_scale": {
|
||||
"maxSpanSeconds": 90,
|
||||
"evidenceId": "configured-scale-poll20-bounded-equal-value-estimate"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,24 @@
|
||||
FROM python:3.11-slim
|
||||
WORKDIR /app
|
||||
COPY requirements.txt .
|
||||
RUN pip install --no-cache-dir -r requirements.txt
|
||||
COPY netplan_v4 ./netplan_v4
|
||||
COPY tests ./tests
|
||||
COPY run_tests.py install_hooks.py runtime_preflight.py Dockerfile .
|
||||
COPY integrations ./integrations
|
||||
COPY gui ./gui
|
||||
COPY release_preflight.py forecast_acceptance.py deploy_integrated_shadow.py approved_previous_assets.json ./
|
||||
COPY acceptance ./acceptance
|
||||
COPY commissioning/deploy_application.py ./commissioning/deploy_application.py
|
||||
COPY commissioning/deploy_history_timing.py ./commissioning/deploy_history_timing.py
|
||||
# Host sources can be 0600/0700. COPY makes them root-owned.
|
||||
# Normalize only packaged application code; never change host secrets or sockets.
|
||||
RUN find /app -type d -exec chmod 0755 {} + \
|
||||
&& find /app -type f -exec chmod 0644 {} +
|
||||
ENV PYTHONDONTWRITEBYTECODE=1 \
|
||||
PYTHONUNBUFFERED=1 \
|
||||
NETPLAN_V4_TEST_REPORT_DIR=/tmp/test-results
|
||||
USER 1000:1000
|
||||
# Fail the build early if the actual unprivileged runtime cannot read the code.
|
||||
RUN python /app/runtime_preflight.py
|
||||
CMD ["uvicorn", "netplan_v4.service:from_environment", "--factory", "--host", "0.0.0.0", "--port", "9100", "--workers", "1"]
|
||||
+58
@@ -0,0 +1,58 @@
|
||||
"""Explicit, retrospective equal-endpoint estimates for sparse state publication.
|
||||
|
||||
Never changes a source timestamp, real-time freshness limit, meter evidence or
|
||||
actuator lease. A repeated value after a bounded gap supports a MODEL estimate,
|
||||
not proof that the physical signal was constant between the observations.
|
||||
"""
|
||||
from math import isfinite
|
||||
import re
|
||||
|
||||
|
||||
def validate_policy(policy, sources):
|
||||
if policy is None:
|
||||
return None
|
||||
if (not isinstance(policy, dict) or set(policy) != {'version', 'method', 'sources'}
|
||||
or type(policy['version']) is not int or policy['version'] != 1
|
||||
or policy['method'] != 'equal_endpoint_v1'
|
||||
or not isinstance(policy['sources'], dict) or not policy['sources']):
|
||||
raise ValueError('Explicit historical timing policy required')
|
||||
defined = {s['key']: s for s in sources}
|
||||
for key, rule in policy['sources'].items():
|
||||
if key not in defined or defined[key]['role'] not in ('pv', 'physical_storage', 'solar_scale'):
|
||||
raise ValueError('Timing estimates limited to explicit power/scale sources')
|
||||
if not isinstance(rule, dict) or set(rule) != {'maxSpanSeconds', 'evidenceId'}:
|
||||
raise ValueError('Timing bound and evidence reference required')
|
||||
if type(rule['maxSpanSeconds']) is not int or not defined[key]['maxAgeSeconds'] <= rule['maxSpanSeconds'] <= 180:
|
||||
raise ValueError('Historical endpoint span outside reviewed bounds')
|
||||
if not isinstance(rule['evidenceId'], str) or not re.fullmatch(r'[A-Za-z0-9_-]{8,100}', rule['evidenceId']):
|
||||
raise ValueError('Invalid publication evidence reference')
|
||||
return policy
|
||||
|
||||
|
||||
def endpoint_bridges(series, first_observed, blocks, capture_gaps, policy, source_specs):
|
||||
"""Index strictly consecutive, equal original timestamps; never invent endpoints.
|
||||
|
||||
Only the stale tail of a normal hold is filled. A missing/invalid capture or a
|
||||
source conflict forbids bridging. The right endpoint must have been observed;
|
||||
its availability is retained by the caller for causal training and replay.
|
||||
"""
|
||||
result = {key: {} for key in series}
|
||||
if policy is None:
|
||||
return result
|
||||
for key, rule in policy['sources'].items():
|
||||
if key not in series:
|
||||
continue # e.g. an unused DC channel in an AC-terminal formula
|
||||
values = series[key]
|
||||
times = sorted(values)
|
||||
for left, right in zip(times, times[1:]):
|
||||
value, next_value = values[left], values[right]
|
||||
if (value is None or next_value is None or type(value) not in (int, float)
|
||||
or not isfinite(value) or value != next_value):
|
||||
continue
|
||||
if not source_specs[key]['maxAgeSeconds'] < right-left <= rule['maxSpanSeconds']:
|
||||
continue
|
||||
if any(start < right and end > left for start, end in (*blocks[key], *capture_gaps)):
|
||||
continue
|
||||
result[key][left] = {'end': right, 'availableAt': first_observed[key][right],
|
||||
'spanSeconds': right-left}
|
||||
return result
|
||||
+500
@@ -0,0 +1,500 @@
|
||||
"""Application data path: versioned numeric observations -> physical load -> trained profiles.
|
||||
|
||||
Lives in the existing planner service/database; no separate diagnostic service.
|
||||
The device may append only to an operator-configured dataset. Original observations,
|
||||
model revisions and prediction vintages are preserved. Output is never an actuator grant.
|
||||
"""
|
||||
from __future__ import annotations
|
||||
from bisect import bisect_right
|
||||
from collections import defaultdict
|
||||
from datetime import datetime, timedelta, timezone
|
||||
from hashlib import sha256
|
||||
from math import isfinite
|
||||
from statistics import median
|
||||
from zoneinfo import ZoneInfo
|
||||
import json
|
||||
from .history_timing import validate_policy, endpoint_bridges
|
||||
|
||||
UTC = timezone.utc
|
||||
LOCAL = ZoneInfo('Europe/Zurich')
|
||||
FAMILIES = ('3', '13', '23')
|
||||
|
||||
|
||||
def canonical(value):
|
||||
return json.dumps(value, sort_keys=True, separators=(',', ':'), allow_nan=False)
|
||||
|
||||
|
||||
def epoch(value):
|
||||
if not isinstance(value, str):
|
||||
raise ValueError('UTC timestamp required')
|
||||
t = datetime.fromisoformat(value.replace('Z', '+00:00'))
|
||||
if t.tzinfo is None or t.utcoffset().total_seconds() != 0 or t.microsecond:
|
||||
raise ValueError('Explicit whole-second UTC timestamp required')
|
||||
return int(t.timestamp())
|
||||
|
||||
|
||||
def iso(t):
|
||||
return datetime.fromtimestamp(t, UTC).isoformat()
|
||||
|
||||
|
||||
def numeric(value, bound=1e12):
|
||||
return type(value) in (int, float) and isfinite(value) and abs(value) <= bound
|
||||
|
||||
|
||||
def schema(con):
|
||||
con.executescript('''
|
||||
CREATE TABLE IF NOT EXISTS planner_data_sets(
|
||||
plant TEXT NOT NULL, dataset TEXT NOT NULL, config TEXT NOT NULL,
|
||||
created_at INTEGER NOT NULL, PRIMARY KEY(plant,dataset));
|
||||
CREATE TABLE IF NOT EXISTS planner_observations(
|
||||
plant TEXT NOT NULL, dataset TEXT NOT NULL, captured_at INTEGER NOT NULL,
|
||||
received_at INTEGER NOT NULL, fingerprint TEXT NOT NULL, value TEXT NOT NULL,
|
||||
PRIMARY KEY(plant,dataset,captured_at));
|
||||
CREATE TABLE IF NOT EXISTS planner_load_windows(
|
||||
plant TEXT NOT NULL, dataset TEXT NOT NULL, start INTEGER NOT NULL,
|
||||
available_at INTEGER NOT NULL, coverage REAL NOT NULL, value TEXT NOT NULL,
|
||||
PRIMARY KEY(plant,dataset,start));
|
||||
CREATE TABLE IF NOT EXISTS planner_load_models(
|
||||
plant TEXT NOT NULL, dataset TEXT NOT NULL, model_id TEXT NOT NULL,
|
||||
trained_at INTEGER NOT NULL, trained_through INTEGER NOT NULL, value TEXT NOT NULL,
|
||||
PRIMARY KEY(plant,dataset,model_id));
|
||||
CREATE TABLE IF NOT EXISTS planner_model_current(
|
||||
plant TEXT NOT NULL, dataset TEXT NOT NULL, model_id TEXT NOT NULL,
|
||||
PRIMARY KEY(plant,dataset));
|
||||
CREATE TABLE IF NOT EXISTS planner_pipeline_state(
|
||||
plant TEXT NOT NULL, dataset TEXT NOT NULL, tick INTEGER NOT NULL,
|
||||
status TEXT NOT NULL, detail TEXT NOT NULL, PRIMARY KEY(plant,dataset));
|
||||
CREATE TABLE IF NOT EXISTS planner_prediction_vintages(
|
||||
plant TEXT NOT NULL, dataset TEXT NOT NULL, issued_at INTEGER NOT NULL,
|
||||
target INTEGER NOT NULL, family TEXT NOT NULL, model_id TEXT NOT NULL,
|
||||
load_w REAL NOT NULL, pv_w REAL NOT NULL,
|
||||
PRIMARY KEY(plant,dataset,issued_at,target,family));
|
||||
CREATE INDEX IF NOT EXISTS planner_observation_window
|
||||
ON planner_observations(plant,dataset,captured_at);
|
||||
CREATE INDEX IF NOT EXISTS planner_prediction_target
|
||||
ON planner_prediction_vintages(plant,dataset,target);
|
||||
''')
|
||||
|
||||
|
||||
def validate_config(c):
|
||||
fields = {'datasetId', 'mappingSha256', 'inventorySha256', 'sources',
|
||||
'formula', 'solarReference', 'minimumCoverage', 'maximumGapSeconds',
|
||||
'minimumTrainingHours', 'historyDays'}
|
||||
optional = {'sourceDatasetId', 'historyTimingPolicy'}
|
||||
if not isinstance(c, dict) or not fields <= set(c) or set(c)-fields-optional:
|
||||
raise ValueError('Explicit dataset configuration required')
|
||||
name = c['datasetId']
|
||||
if not isinstance(name, str) or not 1 <= len(name) <= 80 or any(x not in 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789-_' for x in name):
|
||||
raise ValueError('Invalid dataset ID')
|
||||
for field in ('mappingSha256', 'inventorySha256'):
|
||||
h = c[field]
|
||||
if not isinstance(h, str) or len(h) != 64 or any(x not in '0123456789abcdef' for x in h):
|
||||
raise ValueError('Explicit mapping/inventory fingerprint required')
|
||||
if c['formula'] not in ('physical_sum_v1', 'solar_terminal_v1'):
|
||||
raise ValueError('Unknown physical formula')
|
||||
if not numeric(c['minimumCoverage']) or not .90 <= c['minimumCoverage'] <= 1:
|
||||
raise ValueError('Coverage must be .90..1; recorded gaps remain visible')
|
||||
for field, lo, hi in (('maximumGapSeconds', 1, 10), ('minimumTrainingHours', 1, 168), ('historyDays', 2, 90)):
|
||||
if type(c[field]) is not int or not lo <= c[field] <= hi:
|
||||
raise ValueError('Invalid '+field)
|
||||
sources = c['sources']
|
||||
if not isinstance(sources, list) or not 3 <= len(sources) <= 80:
|
||||
raise ValueError('Source list required')
|
||||
seen, ids = set(), set()
|
||||
roles = {'grid', 'pv', 'physical_storage', 'flexible_load', 'reference', 'sdl_request', 'solar_raw', 'solar_scale'}
|
||||
for s in sources:
|
||||
if set(s) != {'key', 'variableId', 'role', 'factorToW', 'maxAgeSeconds'}:
|
||||
raise ValueError('Explicit source definition required')
|
||||
k = s['key']
|
||||
if not isinstance(k, str) or not 1 <= len(k) <= 64 or k in seen or type(s['variableId']) is not int or not 1 <= s['variableId'] <= 99999 or s['variableId'] in ids:
|
||||
raise ValueError('Duplicate/invalid source')
|
||||
if s['role'] not in roles or not numeric(s['factorToW'], 1e6) or s['factorToW'] == 0:
|
||||
raise ValueError('Source role/factor invalid')
|
||||
if type(s['maxAgeSeconds']) is not int or not 1 <= s['maxAgeSeconds'] <= 300:
|
||||
raise ValueError('Source lifetime invalid')
|
||||
seen.add(k); ids.add(s['variableId'])
|
||||
if sum(s['role'] == 'grid' for s in sources) != 1 or not any(s['role'] == 'pv' for s in sources):
|
||||
raise ValueError('Grid and PV measurement sources required')
|
||||
sr = c['solarReference']
|
||||
if c['formula'] == 'solar_terminal_v1':
|
||||
if not isinstance(sr, dict) or set(sr) != {'pvKey', 'batteryKey', 'rawKey', 'scaleKey'}:
|
||||
raise ValueError('Solar terminal sources required')
|
||||
bykey = {s['key']: s['role'] for s in sources}
|
||||
if any(bykey.get(sr[k]) != role for k, role in (('pvKey','pv'),('batteryKey','physical_storage'),('rawKey','solar_raw'),('scaleKey','solar_scale'))):
|
||||
raise ValueError('Solar origin roles mismatch')
|
||||
elif sr is not None:
|
||||
raise ValueError('No unused solar mapping allowed')
|
||||
validate_policy(c.get('historyTimingPolicy'), sources)
|
||||
source = c.get('sourceDatasetId')
|
||||
if source is not None and (not isinstance(source, str) or not 1 <= len(source) <= 80 or source == name or any(x not in 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789-_' for x in source)):
|
||||
raise ValueError('Invalid source dataset reference')
|
||||
canonical(c)
|
||||
return c
|
||||
|
||||
|
||||
def register_dataset(con, plant, c, now):
|
||||
"""Operator endpoint only; device append endpoint cannot change units or limits."""
|
||||
validate_config(c)
|
||||
if c.get('sourceDatasetId'):
|
||||
origin = configuration(con, plant, c['sourceDatasetId'])
|
||||
if origin.get('sourceDatasetId'):
|
||||
raise ValueError('Dataset reference chains are not allowed')
|
||||
comparable = lambda v: {k:x for k,x in v.items() if k not in ('datasetId','sourceDatasetId','historyTimingPolicy')}
|
||||
if canonical(comparable(origin)) != canonical(comparable(c)):
|
||||
raise ValueError('Referenced observations must retain identical measurement meaning')
|
||||
value = canonical(c)
|
||||
con.execute('BEGIN IMMEDIATE')
|
||||
try:
|
||||
old = con.execute('SELECT config FROM planner_data_sets WHERE plant=? AND dataset=?', (plant,c['datasetId'])).fetchone()
|
||||
if old and old[0] != value:
|
||||
raise ValueError('Dataset is immutable; use a new datasetId for changed measurement meaning')
|
||||
con.execute('INSERT OR IGNORE INTO planner_data_sets VALUES(?,?,?,?)', (plant,c['datasetId'],value,now))
|
||||
con.commit()
|
||||
except Exception:
|
||||
con.rollback(); raise
|
||||
return {'status':'configured', 'datasetId':c['datasetId'], 'mappingSha256':c['mappingSha256'], 'controlEnabled':False}
|
||||
|
||||
|
||||
def configuration(con, plant, dataset):
|
||||
row = con.execute('SELECT config FROM planner_data_sets WHERE plant=? AND dataset=?', (plant,dataset)).fetchone()
|
||||
if row is None:
|
||||
raise ValueError('Dataset not configured for this installation')
|
||||
return json.loads(row[0])
|
||||
|
||||
|
||||
def project(record, c, plant, now):
|
||||
if not isinstance(record, dict) or type(record.get('schemaVersion')) is not int or record.get('schemaVersion') != 1 or record.get('kind') != 'raw_accounting_capture' or record.get('installationId') != plant:
|
||||
raise ValueError('Wrong capture identity')
|
||||
if record.get('mappingSha256') != c['mappingSha256'] or record.get('reportedInventorySha256') != c['inventorySha256']:
|
||||
raise ValueError('Wrong capture mapping or inventory')
|
||||
t = epoch(record.get('capturedAt')); start = epoch(record.get('captureStartedAt'))
|
||||
if start > t or t > now+30 or t < now-90*86400:
|
||||
raise ValueError('Capture timestamp outside permitted range')
|
||||
if not isinstance(record.get('raw'), dict):
|
||||
raise ValueError('Numeric raw observations required')
|
||||
out = {}; issues = []
|
||||
for s in c['sources']:
|
||||
r = record['raw'].get(s['key'], {})
|
||||
if not isinstance(r, dict):
|
||||
r = {}
|
||||
v, at = r.get('value'), r.get('sourceUpdatedAt')
|
||||
good = r.get('variableId') == s['variableId'] and numeric(v) and type(at) is int and 0 < at <= t and r.get('issues') == []
|
||||
if not good:
|
||||
v = at = None
|
||||
issues.append(s['key'])
|
||||
# Unknown/free-text fields, credentials, client quality claims never persisted.
|
||||
out[s['key']] = {'value':v, 'sourceUpdatedAt':at, 'valid':bool(good)}
|
||||
return {'capturedAt':t, 'captureDurationSeconds':t-start, 'raw':out, 'invalidSources':issues}
|
||||
|
||||
|
||||
def ingest_batch(con, plant, payload, now):
|
||||
if not isinstance(payload,dict) or set(payload) != {'version','datasetId','records'} or type(payload.get('version')) is not int or payload['version'] != 1:
|
||||
raise ValueError('Measurement batch version/fields invalid')
|
||||
c = configuration(con,plant,payload['datasetId'])
|
||||
if c.get('sourceDatasetId'):
|
||||
raise ValueError('Derived dataset is read-only; append to the original measurement dataset')
|
||||
records = payload['records']
|
||||
if not isinstance(records,list) or not 1 <= len(records) <= 120:
|
||||
raise ValueError('Batch requires 1..120 captures')
|
||||
rows = [project(r,c,plant,now) for r in records]
|
||||
if any(a['capturedAt'] >= b['capturedAt'] for a,b in zip(rows,rows[1:])):
|
||||
raise ValueError('Batch must be in increasing capture order')
|
||||
stored = duplicate = 0
|
||||
con.execute('BEGIN IMMEDIATE')
|
||||
try:
|
||||
for r in rows:
|
||||
value = canonical(r); digest = sha256(value.encode()).hexdigest()
|
||||
old = con.execute('SELECT fingerprint FROM planner_observations WHERE plant=? AND dataset=? AND captured_at=?', (plant,c['datasetId'],r['capturedAt'])).fetchone()
|
||||
if old:
|
||||
if old[0] != digest:
|
||||
raise ValueError('Conflicting immutable observation')
|
||||
duplicate += 1
|
||||
else:
|
||||
con.execute('INSERT INTO planner_observations VALUES(?,?,?,?,?,?)',(plant,c['datasetId'],r['capturedAt'],now,digest,value)); stored += 1
|
||||
con.commit()
|
||||
except Exception:
|
||||
con.rollback(); raise
|
||||
return {'status':'stored' if stored else 'duplicate','stored':stored,'duplicates':duplicate,
|
||||
'acceptedThrough':iso(rows[-1]['capturedAt']),'datasetId':c['datasetId'],'controlEnabled':False}
|
||||
|
||||
|
||||
def physical_value(values, c):
|
||||
"""Same explicit sign convention as configured acquisition. No virtual power in load."""
|
||||
total = defaultdict(float)
|
||||
sr = c['solarReference']
|
||||
for s in c['sources']:
|
||||
if s['role'] not in ('grid','pv','physical_storage','flexible_load'):
|
||||
continue
|
||||
if sr and s['key'] in (sr['pvKey'],sr['batteryKey']):
|
||||
continue
|
||||
val = values[s['key']]*s['factorToW']
|
||||
if not numeric(val,1e9) or (s['role'] in ('pv','flexible_load') and val < 0):
|
||||
raise ValueError('Invalid physical power')
|
||||
total[s['role']] += val
|
||||
solar = 0.
|
||||
if sr:
|
||||
raw, sf = values[sr['rawKey']], values[sr['scaleKey']]
|
||||
if int(raw) != raw or not -32768 < raw <= 32767 or int(sf) != sf or not -6 <= sf <= 6:
|
||||
raise ValueError('Invalid solar power/scaling sentinel')
|
||||
solar = raw*10**int(sf)
|
||||
load = total['grid']+total['pv']-total['physical_storage']-total['flexible_load']+solar
|
||||
if not numeric(load,1e9) or load < 0:
|
||||
raise ValueError('Negative/nonfinite physical load')
|
||||
return load
|
||||
|
||||
|
||||
def reconstruct(records, c):
|
||||
"""Bounded retrospective estimation, never a real-time feedback signal.
|
||||
|
||||
Missing observations split support. Source timestamps are not refreshed. Small
|
||||
uncovered portions remain quantified and are never filled with zero.
|
||||
"""
|
||||
if len(records) < 2:
|
||||
return []
|
||||
if any(a['capturedAt'] >= b['capturedAt'] for a,b in zip(records,records[1:])):
|
||||
raise ValueError('Capture sequence not ordered')
|
||||
sr = c['solarReference']
|
||||
primary = {s['key']:s for s in c['sources'] if s['role'] in ('grid','pv','physical_storage','flexible_load')}
|
||||
if sr:
|
||||
primary.pop(sr['pvKey']); primary.pop(sr['batteryKey'])
|
||||
for s in c['sources']:
|
||||
if s['key'] in (sr['rawKey'],sr['scaleKey']): primary[s['key']] = s
|
||||
timing_policy = validate_policy(c.get('historyTimingPolicy'), c['sources'])
|
||||
first,last = records[0]['capturedAt'],records[-1]['capturedAt']
|
||||
series = {k:{} for k in primary}; blocks = {k:[] for k in primary}; gaps = []
|
||||
first_observed = {k:{} for k in primary}
|
||||
pending = {k:None for k in primary}; high = {k:0 for k in primary}
|
||||
edges = {first,last}
|
||||
for a,b in zip(records,records[1:]):
|
||||
if b['capturedAt']-a['capturedAt'] > 45:
|
||||
gaps.append((a['capturedAt'],b['capturedAt']));edges.update(gaps[-1])
|
||||
for r in records:
|
||||
at = r['capturedAt']
|
||||
for k in primary:
|
||||
v = r['raw'].get(k,{})
|
||||
t = v.get('sourceUpdatedAt')
|
||||
if not v.get('valid') or not numeric(v.get('value')) or type(t) is not int or t > at or t < high[k] or r['captureDurationSeconds'] > 5:
|
||||
if pending[k] is None: pending[k] = at
|
||||
continue
|
||||
high[k] = max(high[k],t)
|
||||
if pending[k] is not None:
|
||||
blocks[k].append((pending[k],at));edges.update(blocks[k][-1]);pending[k] = None
|
||||
if t in series[k] and series[k][t] != v['value']:
|
||||
series[k][t] = None
|
||||
else:
|
||||
series[k].setdefault(t,v['value'])
|
||||
first_observed[k].setdefault(t, max(at, r.get('_receivedAt', at)))
|
||||
for k,s in primary.items():
|
||||
if pending[k] is not None:
|
||||
blocks[k].append((pending[k],last));edges.update(blocks[k][-1])
|
||||
for t in series[k]: edges.update((t,t+s['maxAgeSeconds']))
|
||||
edges.update(range(first//300*300+300,last,300))
|
||||
edges = sorted(x for x in edges if first <= x <= last)
|
||||
knots = {k:sorted(v) for k,v in series.items()}
|
||||
bridges = endpoint_bridges(series, first_observed, blocks, gaps, timing_policy, primary)
|
||||
bins = {}
|
||||
for a,b in zip(edges,edges[1:]):
|
||||
start = a//300*300; item = bins.setdefault(start,{'start':start,'seconds':0,'wattSeconds':0.,'maxGapSeconds':0,'currentGap':0,
|
||||
'publicationEstimatedSeconds':0,'publicationEstimatedBySource':{},'knownAt':0,'missingSourceSeconds':{}})
|
||||
vals = {}; usable = not any(x <= a < y for x,y in gaps)
|
||||
extended = []; unavailable = []; known_at = 0
|
||||
for k,s in primary.items():
|
||||
pos = bisect_right(knots[k],a)-1
|
||||
t = knots[k][pos] if pos >= 0 else None
|
||||
bridge = bridges[k].get(t)
|
||||
expired = t is None or a >= t+s['maxAgeSeconds']
|
||||
supported_tail = bool(bridge and a < bridge['end'])
|
||||
if t is None or (expired and not supported_tail) or series[k][t] is None or any(x <= a < y for x,y in blocks[k]):
|
||||
usable = False; unavailable.append(k)
|
||||
else:
|
||||
vals[k] = series[k][t]
|
||||
known_at = max(known_at, first_observed[k][t])
|
||||
if expired:
|
||||
extended.append(k); known_at = max(known_at, bridge['availableAt'])
|
||||
load = None
|
||||
if usable:
|
||||
try: load = physical_value(vals,c)
|
||||
except ValueError: usable = False
|
||||
if usable:
|
||||
item['seconds'] += b-a; item['wattSeconds'] += load*(b-a);item['currentGap'] = 0
|
||||
item['knownAt'] = max(item['knownAt'], known_at)
|
||||
if extended: item['publicationEstimatedSeconds'] += b-a
|
||||
for key in extended: item['publicationEstimatedBySource'][key] = item['publicationEstimatedBySource'].get(key,0)+b-a
|
||||
else:
|
||||
item['currentGap'] += b-a; item['maxGapSeconds'] = max(item['maxGapSeconds'],item['currentGap'])
|
||||
for key in unavailable: item['missingSourceSeconds'][key] = item['missingSourceSeconds'].get(key,0)+b-a
|
||||
out=[]
|
||||
for t,item in sorted(bins.items()):
|
||||
# Partial beginning/end bins remain diagnostic and cannot train.
|
||||
complete_extent = first <= t and last >= t+300
|
||||
coverage = item['seconds']/300
|
||||
eligible = complete_extent and coverage >= c['minimumCoverage'] and item['maxGapSeconds'] <= c['maximumGapSeconds']
|
||||
out.append({'start':t,'coverage':coverage,'coveredSeconds':item['seconds'],'maxGapSeconds':item['maxGapSeconds'],
|
||||
'loadW':item['wattSeconds']/item['seconds'] if item['seconds'] else None,
|
||||
'profileUsable':eligible,'estimated':True,'fullPhysicalIntervalMeasured':False,
|
||||
'meterBoundaryVerified':False,'method':c['formula'],
|
||||
'historyTimingMethod':(timing_policy or {}).get('method','strict_expiry'),
|
||||
'publicationEstimatedSeconds':item['publicationEstimatedSeconds'],
|
||||
'publicationEstimatedBySourceSeconds':item['publicationEstimatedBySource'],
|
||||
'missingSourceSeconds':item['missingSourceSeconds'],
|
||||
'availableNotBefore':max(t+300,item['knownAt'])})
|
||||
return out
|
||||
|
||||
|
||||
def slot(t):
|
||||
local = datetime.fromtimestamp(t,UTC).astimezone(LOCAL)
|
||||
return local.hour*12+local.minute//5
|
||||
|
||||
|
||||
def build_profiles(rows):
|
||||
samples=defaultdict(list); recent=defaultdict(list); weekend={False:defaultdict(list),True:defaultdict(list)}
|
||||
anchor=max(r['start'] for r in rows)
|
||||
for r in rows:
|
||||
i=slot(r['start']); v=r['loadW']; samples[i].append(v)
|
||||
if anchor-r['start'] < 86400: recent[i].append(v)
|
||||
weekend[datetime.fromtimestamp(r['start'],UTC).astimezone(LOCAL).weekday()>=5][i].append(v)
|
||||
overall = median([r['loadW'] for r in rows])
|
||||
def profile(values):
|
||||
# Missing calendar slots are a model estimate, not invented historical measurements.
|
||||
result=[]
|
||||
for i in range(288):
|
||||
local=values.get(i,[])
|
||||
if not local:
|
||||
local=[v for j in ((i-2)%288,(i-1)%288,(i+1)%288,(i+2)%288) for v in values.get(j,[])]
|
||||
result.append(float(median(local)) if local else float(overall))
|
||||
return result
|
||||
return {'3':profile(samples),'13':profile(recent),'23':{'weekday':profile(weekend[False] or samples),'weekend':profile(weekend[True] or samples)},
|
||||
'slotCoverage':len(samples)/288}
|
||||
|
||||
|
||||
def predict(model, family, t):
|
||||
p=model['profiles'][family]
|
||||
if family=='23': p=p['weekend' if datetime.fromtimestamp(t,UTC).astimezone(LOCAL).weekday()>=5 else 'weekday']
|
||||
return p[slot(t)]
|
||||
|
||||
|
||||
def advance(con, plant, dataset, settings, now):
|
||||
"""Called by the existing worker; bounded data/model update once per five-minute tick."""
|
||||
c=configuration(con,plant,dataset); tick=now//300
|
||||
old=con.execute('SELECT tick FROM planner_pipeline_state WHERE plant=? AND dataset=?',(plant,dataset)).fetchone()
|
||||
if old and old[0]==tick: return
|
||||
observation_dataset=c.get('sourceDatasetId',dataset)
|
||||
fetched=con.execute('SELECT value,received_at FROM planner_observations WHERE plant=? AND dataset=? AND captured_at>=? AND captured_at<=? AND received_at<=? ORDER BY captured_at',
|
||||
(plant,observation_dataset,now-172800-300,now,now)).fetchall()
|
||||
records=[{**json.loads(r[0]),'_receivedAt':r[1]} for r in fetched]
|
||||
windows=reconstruct(records,c)
|
||||
with con:
|
||||
for w in windows:
|
||||
if w['start']+300 > now-30 or w.get('availableNotBefore',0)>now: continue
|
||||
con.execute('INSERT INTO planner_load_windows VALUES(?,?,?,?,?,?) ON CONFLICT(plant,dataset,start) DO UPDATE SET available_at=excluded.available_at,coverage=excluded.coverage,value=excluded.value',
|
||||
(plant,dataset,w['start'],now,w['coverage'],canonical(w)))
|
||||
rows=[json.loads(r[0]) for r in con.execute('SELECT value FROM planner_load_windows WHERE plant=? AND dataset=? AND start>=? AND start+300<=? ORDER BY start',(plant,dataset,now-c['historyDays']*86400,now))]
|
||||
good=[r for r in rows if r['profileUsable']]
|
||||
active=current_model(con,plant,dataset,now)
|
||||
cadence=86400 if settings['trainingCadence']=='daily' else 604800
|
||||
detail={'observationsInLast48h':len(records),'usableWindows':len(good),'requiredEquivalentHours':c['minimumTrainingHours'],
|
||||
'usableEquivalentHours':sum(r['coverage'] for r in good)/12,'datasetId':dataset,'trainingCadence':settings['trainingCadence'],
|
||||
'automaticTrainingConnected':True,'liveEnabled':False,'sourceIsConfiguredEstimate':True,
|
||||
'observationDatasetId':observation_dataset,
|
||||
'historyTimingMethod':c.get('historyTimingPolicy',{}).get('method','strict_expiry'),
|
||||
'publicationEstimatedSeconds':sum(r.get('publicationEstimatedSeconds',0) for r in good),
|
||||
'originalFreshnessLimitsChanged':False,
|
||||
'lastCapture':iso(records[-1]['capturedAt']) if records else None}
|
||||
state='collecting'
|
||||
if sum(r['coverage'] for r in good) >= c['minimumTrainingHours']*12:
|
||||
state='model_ready' if active else 'training'
|
||||
attempted=con.execute('SELECT MAX(trained_at) FROM planner_load_models WHERE plant=? AND dataset=?',(plant,dataset)).fetchone()[0]
|
||||
if attempted is None or now-attempted>=cadence:
|
||||
profiles=build_profiles(good)
|
||||
candidate={'profiles':profiles,'trainedAt':now,'trainedThrough':max(r['start']+300 for r in good),
|
||||
'trainingWindowFrom':good[0]['start'],'sourceDataset':dataset,'formula':c['formula'],
|
||||
'methodVersion':'physical-profile-v1','validation':{'status':'bootstrap_insufficient_holdout'},
|
||||
'historyTimingMethod':c.get('historyTimingPolicy',{}).get('method','strict_expiry'),
|
||||
'timingPolicySha256':sha256(canonical(c.get('historyTimingPolicy')).encode()).hexdigest(),
|
||||
'observationDatasetId':observation_dataset,
|
||||
'measurementBoundaryVerified':False}
|
||||
# Causal held-out validation: build validation profiles without the final day.
|
||||
split=good[-1]['start']-86400
|
||||
train=[r for r in good if r['start']+300<=split and r.get('availableNotBefore',r['start']+300)<=split]; test=[r for r in good if r['start']>=split]
|
||||
if len(train)>=288 and len(test)>=240:
|
||||
val={'profiles':build_profiles(train)}
|
||||
errors={f:sum(abs(predict(val,f,r['start'])-r['loadW'])*r['coverage'] for r in test)/sum(r['coverage'] for r in test) for f in FAMILIES}
|
||||
candidate['validation']={'status':'causal_holdout','holdoutFrom':split,'holdoutWindows':len(test),'loadMaeWByFamily':errors}
|
||||
# Initial model is labelled bootstrap, never a production measurement proof.
|
||||
# Existing model can be replaced only with held-out evidence and no aggregate regression.
|
||||
promote=active is None
|
||||
if active and candidate['validation']['status']=='causal_holdout':
|
||||
past_model_eligible=active['trainedThrough']<=split and active['trainedAt']<=split
|
||||
if past_model_eligible:
|
||||
incumbent=sum(abs(predict(active,f,r['start'])-r['loadW'])*r['coverage'] for f in FAMILIES for r in test)
|
||||
challenger=sum(abs(predict(val,f,r['start'])-r['loadW'])*r['coverage'] for f in FAMILIES for r in test)
|
||||
promote=challenger<=incumbent
|
||||
candidate['validation']['incumbentCompared']=True
|
||||
else:
|
||||
candidate['validation']['status']='holdout_overlaps_active_training'
|
||||
ident=sha256(canonical(candidate).encode()).hexdigest()
|
||||
with con:
|
||||
con.execute('INSERT OR IGNORE INTO planner_load_models VALUES(?,?,?,?,?,?)',(plant,dataset,ident,now,candidate['trainedThrough'],canonical(candidate)))
|
||||
if promote:
|
||||
con.execute('INSERT INTO planner_model_current VALUES(?,?,?) ON CONFLICT(plant,dataset) DO UPDATE SET model_id=excluded.model_id',(plant,dataset,ident))
|
||||
detail['candidateModelId']=ident;detail['candidatePromoted']=promote
|
||||
state='model_ready' if promote or active else 'candidate_pending'
|
||||
active=current_model(con,plant,dataset,now)
|
||||
if active: detail.update({'modelId':active['modelId'],'trainedAt':iso(active['trainedAt']),'trainedThrough':iso(active['trainedThrough']),'validation':active['validation']})
|
||||
with con:
|
||||
con.execute('INSERT INTO planner_pipeline_state VALUES(?,?,?,?,?) ON CONFLICT(plant,dataset) DO UPDATE SET tick=excluded.tick,status=excluded.status,detail=excluded.detail',
|
||||
(plant,dataset,tick,state,canonical(detail)))
|
||||
|
||||
|
||||
def current_model(con,plant,dataset,at):
|
||||
row=con.execute('SELECT m.model_id,m.value FROM planner_load_models m JOIN planner_model_current c ON m.plant=c.plant AND m.dataset=c.dataset AND m.model_id=c.model_id WHERE m.plant=? AND m.dataset=? AND m.trained_at<=?',(plant,dataset,at)).fetchone()
|
||||
return {**json.loads(row[1]),'modelId':row[0]} if row else None
|
||||
|
||||
|
||||
def apply_load_forecast(con,plant,dataset,forecast,decision):
|
||||
model=current_model(con,plant,dataset,decision)
|
||||
if not model:
|
||||
raise ValueError('Corrected profile is collecting data; legacy household forecast is not silently reused')
|
||||
c=configuration(con,plant,dataset)
|
||||
last=con.execute('SELECT value FROM planner_observations WHERE plant=? AND dataset=? AND captured_at<=? AND received_at<=? ORDER BY captured_at DESC LIMIT 1',(plant,c.get('sourceDatasetId',dataset),decision,decision)).fetchone()
|
||||
if not last: raise ValueError('No recent corrected observation')
|
||||
last=json.loads(last[0])
|
||||
if decision-last['capturedAt']>120: raise ValueError('Corrected measurements older than 120 seconds')
|
||||
sdl_sources=[s for s in c['sources'] if s['role']=='sdl_request']
|
||||
if len(sdl_sources)!=1: raise ValueError('Explicit SDL request channel needed for the labelled persistence scenario')
|
||||
s=sdl_sources[0];r=last['raw'][s['key']]
|
||||
if not r['valid'] or decision-r['sourceUpdatedAt']>s['maxAgeSeconds']:
|
||||
raise ValueError('No current external SDL request for the persistence scenario')
|
||||
sdl=r['value']*s['factorToW']
|
||||
result=json.loads(canonical(forecast)); result['families']={}
|
||||
result['observedAt']=iso(max(epoch(forecast['observedAt']),model['trainedAt'],last['capturedAt']))
|
||||
for family,old in forecast['families'].items():
|
||||
if family not in FAMILIES: continue
|
||||
points=[]
|
||||
for p in old['points']:
|
||||
t=epoch(p['time'])
|
||||
points.append({**p,'loadW':predict(model,family,t),'externalW':sdl})
|
||||
result['families'][family]={'loadBasis':'base_load','trainedUntil':iso(model['trainedThrough']),
|
||||
'points':points,'dataPipeline':{'datasetId':dataset,'modelId':model['modelId'],
|
||||
'loadMethodVersion':model['methodVersion'],'loadVariant':family,
|
||||
'loadModelTrainedAt':iso(model['trainedAt']),'pvForecastEventId':forecast.get('eventId'),
|
||||
'measurementBasis':'configured_physical_estimate','measurementBoundaryVerified':False,
|
||||
'externalPolicy':'last_sdl_request_persistence_estimate','externalObservedAt':iso(r['sourceUpdatedAt']),
|
||||
'externalPowerW':sdl,'futureSdlPublished':False,'validation':model['validation'],
|
||||
'historyTimingMethod':model.get('historyTimingMethod','strict_expiry'),
|
||||
'observationDatasetId':model.get('observationDatasetId',dataset)}}
|
||||
return result
|
||||
|
||||
|
||||
def pipeline_status(con,plant):
|
||||
out=[]
|
||||
for row in con.execute('SELECT dataset,config FROM planner_data_sets WHERE plant=? ORDER BY dataset',(plant,)):
|
||||
ds=row[0]; c=json.loads(row[1]); state=con.execute('SELECT status,detail FROM planner_pipeline_state WHERE plant=? AND dataset=?',(plant,ds)).fetchone()
|
||||
count=con.execute('SELECT COUNT(*),MIN(captured_at),MAX(captured_at) FROM planner_observations WHERE plant=? AND dataset=?',(plant,c.get('sourceDatasetId',ds))).fetchone()
|
||||
out.append({'datasetId':ds,'formula':c['formula'],'mappingSha256':c['mappingSha256'],'records':count[0],
|
||||
'firstCapture':iso(count[1]) if count[1] else None,'lastCapture':iso(count[2]) if count[2] else None,
|
||||
'status':state[0] if state else 'awaiting_measurements','detail':json.loads(state[1]) if state else {},
|
||||
'minimumCoverage':c['minimumCoverage'],'maximumGapSeconds':c['maximumGapSeconds'],
|
||||
'observationDatasetId':c.get('sourceDatasetId',ds),
|
||||
'historyTimingMethod':c.get('historyTimingPolicy',{}).get('method','strict_expiry')})
|
||||
return {'datasets':out,'liveEnabled':False,'legacyHistoryModified':False,'historyTimingVersion':1}
|
||||
+204
@@ -0,0 +1,204 @@
|
||||
"""Synthetic publication gaps plus full source-reference/application integration."""
|
||||
import copy
|
||||
import json
|
||||
import tempfile
|
||||
import unittest
|
||||
from datetime import datetime, timezone
|
||||
from pathlib import Path
|
||||
from fastapi.testclient import TestClient
|
||||
from netplan_v4 import measurement_pipeline as m
|
||||
from netplan_v4.history_timing import validate_policy
|
||||
from netplan_v4.store import PlannerStore
|
||||
from netplan_v4.service import create_app, ingest, run_once
|
||||
from test_measurement_pipeline import config, record, NOW, AID
|
||||
from test_v4 import inputs, TOKEN
|
||||
|
||||
|
||||
def timed_config(**kw):
|
||||
return config(historyTimingPolicy={'version':1,'method':'equal_endpoint_v1',
|
||||
'sources':{'pv':{'maxSpanSeconds':130,'evidenceId':'synthetic-publication-policy'}}}, **kw)
|
||||
|
||||
|
||||
def projected(span=360, period=120, c=None):
|
||||
c = c or timed_config()
|
||||
result=[]
|
||||
for delta in range(0,span+1,30):
|
||||
r=record(NOW+delta,c)
|
||||
r['raw']['pv']['sourceUpdatedAt']=NOW+(delta//period)*period
|
||||
result.append(m.project(r,c,AID,NOW+span))
|
||||
return result
|
||||
|
||||
|
||||
class HistoricalTimingTest(unittest.TestCase):
|
||||
def test_strict_policy_unchanged(self):
|
||||
rows=projected(); result=m.reconstruct(rows,config())
|
||||
self.assertEqual(result[0]['coveredSeconds'],180)
|
||||
self.assertEqual(result[0]['publicationEstimatedSeconds'],0)
|
||||
|
||||
def test_equal_endpoint_bounded_tail_estimate(self):
|
||||
w=m.reconstruct(projected(),timed_config())[0]
|
||||
self.assertEqual(w['coveredSeconds'],300)
|
||||
self.assertEqual(w['publicationEstimatedSeconds'],120)
|
||||
self.assertEqual(w['publicationEstimatedBySourceSeconds'],{'pv':120})
|
||||
self.assertEqual(w['loadW'],6000)
|
||||
self.assertFalse(w['fullPhysicalIntervalMeasured'])
|
||||
self.assertFalse(w['meterBoundaryVerified'])
|
||||
|
||||
def test_no_extension_at_open_end(self):
|
||||
rows=projected(span=300)
|
||||
for r in rows: r['raw']['pv']['sourceUpdatedAt']=NOW
|
||||
w=m.reconstruct(rows,timed_config())[0]
|
||||
self.assertEqual(w['coveredSeconds'],60)
|
||||
|
||||
def test_equal_zero_requires_new_original_timestamp(self):
|
||||
rows=projected()
|
||||
for r in rows:r['raw']['pv']['value']=0
|
||||
self.assertEqual(m.reconstruct(rows,timed_config())[0]['coveredSeconds'],300)
|
||||
for r in rows:r['raw']['pv']['sourceUpdatedAt']=NOW
|
||||
self.assertEqual(m.reconstruct(rows,timed_config())[0]['coveredSeconds'],60)
|
||||
|
||||
def test_changed_endpoints_not_interpolated(self):
|
||||
rows=projected()
|
||||
for r in rows:r['raw']['pv']['value']+=r['raw']['pv']['sourceUpdatedAt']-NOW
|
||||
self.assertEqual(m.reconstruct(rows,timed_config())[0]['publicationEstimatedSeconds'],0)
|
||||
|
||||
def test_no_floating_tolerance(self):
|
||||
rows=projected()
|
||||
for r in rows:r['raw']['pv']['value']+=1e-9*(r['raw']['pv']['sourceUpdatedAt']-NOW)
|
||||
self.assertEqual(m.reconstruct(rows,timed_config())[0]['publicationEstimatedSeconds'],0)
|
||||
|
||||
def test_long_gap_not_recovered_by_equal_zero(self):
|
||||
rows=projected(span=720,period=660)
|
||||
for r in rows:r['raw']['pv']['value']=0
|
||||
out=m.reconstruct(rows,timed_config())
|
||||
self.assertEqual(sum(w['publicationEstimatedSeconds'] for w in out),0)
|
||||
self.assertEqual(out[0]['coveredSeconds'],60)
|
||||
|
||||
def test_collector_gap_not_bridged(self):
|
||||
rows=projected(); rows=[r for r in rows if r['capturedAt']!=NOW+90]
|
||||
w=m.reconstruct(rows,timed_config())[0]
|
||||
self.assertLess(w['coveredSeconds'],300)
|
||||
self.assertEqual(w['publicationEstimatedSeconds'],60)
|
||||
|
||||
def test_invalid_source_blocks_equality_inference(self):
|
||||
rows=projected();rows[3]['raw']['pv']['valid']=False
|
||||
w=m.reconstruct(rows,timed_config())[0]
|
||||
self.assertEqual(w['publicationEstimatedSeconds'],60)
|
||||
self.assertLess(w['coverage'],1)
|
||||
|
||||
def test_conflicting_same_timestamp_blocks_equality(self):
|
||||
rows=projected();rows[1]['raw']['pv']['value']+=10
|
||||
w=m.reconstruct(rows,timed_config())[0]
|
||||
self.assertEqual(w['publicationEstimatedSeconds'],60)
|
||||
|
||||
def test_invalid_other_physical_input_still_vetoes(self):
|
||||
rows=projected();rows[3]['raw']['battery']['valid']=False
|
||||
w=m.reconstruct(rows,timed_config())[0]
|
||||
self.assertLess(w['coverage'],1)
|
||||
|
||||
def test_future_receipt_not_available_early(self):
|
||||
rows=projected()
|
||||
for r in rows:r['_receivedAt']=NOW+900
|
||||
w=m.reconstruct(rows,timed_config())[0]
|
||||
self.assertEqual(w['availableNotBefore'],NOW+900)
|
||||
|
||||
def test_unrelated_virtual_failure_does_not_veto(self):
|
||||
rows=projected()
|
||||
for r in rows:r['raw']['sdl']['valid']=False
|
||||
self.assertEqual(m.reconstruct(rows,timed_config())[0]['coverage'],1)
|
||||
|
||||
def test_no_input_mutation_or_source_age_change(self):
|
||||
rows=projected();c=timed_config();before=copy.deepcopy((rows,c))
|
||||
m.reconstruct(rows,c)
|
||||
self.assertEqual((rows,c),before)
|
||||
self.assertEqual(c['sources'][1]['maxAgeSeconds'],60)
|
||||
|
||||
def test_policy_requires_trusted_explicit_bounds(self):
|
||||
for change in ({'version':True},{'method':'always_fill'},{'sources':{'pv':{'maxSpanSeconds':600,'evidenceId':'test-policy'}}},
|
||||
{'sources':{'grid':{'maxSpanSeconds':90,'evidenceId':'test-policy'}}},
|
||||
{'sources':{'sdl':{'maxSpanSeconds':90,'evidenceId':'test-policy'}}}):
|
||||
c=timed_config();c['historyTimingPolicy'].update(change)
|
||||
with self.subTest(change=change),self.assertRaises(ValueError):m.validate_config(c)
|
||||
|
||||
def test_profile_values_stay_estimates(self):
|
||||
w=m.reconstruct(projected(),timed_config())[0]
|
||||
self.assertTrue(w['estimated'])
|
||||
self.assertNotIn('controlEnabled',w)
|
||||
self.assertNotIn('accountingEvidenceId',w)
|
||||
|
||||
|
||||
class HistoryReferenceIntegrationTest(unittest.TestCase):
|
||||
def setUp(self):
|
||||
self.tmp=tempfile.TemporaryDirectory();self.store=PlannerStore(str(Path(self.tmp.name)/'test.sqlite'))
|
||||
self.c=config();self.new=timed_config(datasetId='physical-v2',sourceDatasetId='physical-v1')
|
||||
m.register_dataset(self.store.con,AID,self.c,NOW)
|
||||
def tearDown(self):self.store.close();self.tmp.cleanup()
|
||||
def register(self):m.register_dataset(self.store.con,AID,self.new,NOW)
|
||||
def fill(self):
|
||||
raw=[]
|
||||
for t in range(NOW-7200,NOW+1,30):
|
||||
r=record(t);r['raw']['pv']['sourceUpdatedAt']=t-(t-(NOW-7200))%120;raw.append(r)
|
||||
for i in range(0,len(raw),120):m.ingest_batch(self.store.con,AID,{'version':1,'datasetId':'physical-v1','records':raw[i:i+120]},NOW)
|
||||
return len(raw)
|
||||
def test_reference_shares_original_immutable_observations(self):
|
||||
n=self.fill();self.register()
|
||||
self.assertEqual(m.pipeline_status(self.store.con,AID)['datasets'][1]['records'],n)
|
||||
self.assertEqual(self.store.con.execute('SELECT count(*) FROM planner_observations').fetchone()[0],n)
|
||||
self.assertEqual(m.configuration(self.store.con,AID,'physical-v1'),self.c)
|
||||
def test_no_append_into_derived_dataset(self):
|
||||
self.register()
|
||||
with self.assertRaises(ValueError):m.ingest_batch(self.store.con,AID,{'version':1,'datasetId':'physical-v2','records':[record(NOW)]},NOW)
|
||||
def test_source_mapping_cannot_change_in_reference(self):
|
||||
for key,value in [('mappingSha256','c'*64),('formula','solar_terminal_v1'),('minimumCoverage',.9)]:
|
||||
c=copy.deepcopy(self.new);c[key]=value
|
||||
with self.subTest(key=key),self.assertRaises(ValueError):m.register_dataset(self.store.con,AID,c,NOW)
|
||||
def test_no_reference_to_other_plant(self):
|
||||
with self.assertRaises(ValueError):m.register_dataset(self.store.con,'00000000-0000-4000-8000-000000000099',self.new,NOW)
|
||||
def test_no_cycles_or_reference_chains(self):
|
||||
self.register(); c={**self.new,'datasetId':'physical-v3','sourceDatasetId':'physical-v2'}
|
||||
with self.assertRaises(ValueError):m.register_dataset(self.store.con,AID,c,NOW)
|
||||
def test_training_model_is_versioned_and_policy_annotated(self):
|
||||
self.fill();self.register();settings=self.store.settings(AID)
|
||||
m.advance(self.store.con,AID,'physical-v1',settings,NOW+60)
|
||||
m.advance(self.store.con,AID,'physical-v2',settings,NOW+60)
|
||||
self.assertIsNone(m.current_model(self.store.con,AID,'physical-v1',NOW+60))
|
||||
model=m.current_model(self.store.con,AID,'physical-v2',NOW+60)
|
||||
self.assertIsNotNone(model);self.assertEqual(model['historyTimingMethod'],'equal_endpoint_v1')
|
||||
self.assertFalse(model['measurementBoundaryVerified'])
|
||||
state=m.pipeline_status(self.store.con,AID)['datasets'][1]['detail']
|
||||
self.assertGreater(state['publicationEstimatedSeconds'],0)
|
||||
self.assertFalse(state['originalFreshnessLimitsChanged'])
|
||||
def test_no_future_receipt_leaks_into_model(self):
|
||||
self.fill();self.register()
|
||||
m.advance(self.store.con,AID,'physical-v2',self.store.settings(AID),NOW-60)
|
||||
self.assertIsNone(m.current_model(self.store.con,AID,'physical-v2',NOW-60))
|
||||
def test_existing_sdl_freshness_not_relaxed_by_history(self):
|
||||
self.fill();self.register();m.advance(self.store.con,AID,'physical-v2',self.store.settings(AID),NOW+30)
|
||||
op,fc,tar=inputs(datetime.fromtimestamp(NOW+180,timezone.utc))
|
||||
with self.assertRaises(ValueError):m.apply_load_forecast(self.store.con,AID,'physical-v2',fc,NOW+180)
|
||||
def test_full_application_plan_uses_reference_model(self):
|
||||
self.fill();self.register();settings=self.store.settings(AID)
|
||||
m.advance(self.store.con,AID,'physical-v2',settings,NOW)
|
||||
op,fc,tar=inputs(datetime.fromtimestamp(NOW,timezone.utc))
|
||||
for kind,val in zip(('operation','forecast','tariffs'),(op,fc,tar)):ingest(self.store,AID,kind,val,datetime.fromtimestamp(NOW,timezone.utc))
|
||||
self.store.save_settings(AID,{'forecastSource':'corrected_profile','measurementDataset':'physical-v2'},0,datetime.fromtimestamp(NOW,timezone.utc))
|
||||
out=run_once(self.store,datetime.fromtimestamp(NOW,timezone.utc))
|
||||
self.assertTrue(out['executable'],out);self.assertFalse(out['liveEnabled'])
|
||||
self.assertEqual(out['inputQuality']['dataPipeline']['historyTimingMethod'],'equal_endpoint_v1')
|
||||
def test_backfilled_or_late_confirmed_training_is_not_causal_holdout(self):
|
||||
# Completed synthetic windows learned only NOW cannot validate a model at a past split.
|
||||
with self.store.con:
|
||||
for t in range(NOW-3*86400,NOW,300):
|
||||
window={'start':t,'profileUsable':True,'coverage':1.,'loadW':5000.,'availableNotBefore':NOW}
|
||||
self.store.con.execute('INSERT INTO planner_load_windows VALUES(?,?,?,?,?,?)',(AID,'physical-v1',t,NOW,1.,m.canonical(window)))
|
||||
m.advance(self.store.con,AID,'physical-v1',self.store.settings(AID),NOW)
|
||||
model=m.current_model(self.store.con,AID,'physical-v1',NOW)
|
||||
self.assertEqual(model['validation']['status'],'bootstrap_insufficient_holdout')
|
||||
|
||||
def test_v1_raw_ingest_works_after_reference_added(self):
|
||||
self.register()
|
||||
r=m.ingest_batch(self.store.con,AID,{'version':1,'datasetId':'physical-v1','records':[record(NOW)]},NOW)
|
||||
self.assertEqual(r['stored'],1)
|
||||
|
||||
|
||||
if __name__=='__main__':unittest.main()
|
||||
+94
@@ -0,0 +1,94 @@
|
||||
"""Installer ordering/recovery tests; subprocesses, privileges and DB backup are simulated."""
|
||||
import hashlib
|
||||
import importlib.util
|
||||
import json
|
||||
import subprocess
|
||||
import sys
|
||||
import tempfile
|
||||
import types
|
||||
import unittest
|
||||
from pathlib import Path
|
||||
from unittest.mock import patch
|
||||
|
||||
SCRIPT=Path(__file__).resolve().parents[1]/'commissioning/deploy_history_timing.py'
|
||||
spec=importlib.util.spec_from_file_location('history_deploy_tests',SCRIPT)
|
||||
d=importlib.util.module_from_spec(spec);spec.loader.exec_module(d)
|
||||
|
||||
|
||||
class TimingDeploymentTest(unittest.TestCase):
|
||||
def setUp(self):
|
||||
self.tmp=tempfile.TemporaryDirectory();self.root=Path(self.tmp.name)
|
||||
self.package=self.root/'commissioning/history-timing-source';self.package.mkdir(parents=True)
|
||||
files={}
|
||||
for index,name in enumerate(d.TARGETS):
|
||||
original=(b'old:'+name.encode()) if index%2==0 else None
|
||||
target=self.root/name;target.parent.mkdir(parents=True,exist_ok=True)
|
||||
if original is not None:target.write_bytes(original)
|
||||
candidate=self.package/'source'/name;candidate.parent.mkdir(parents=True,exist_ok=True);candidate.write_bytes(b'new:'+name.encode())
|
||||
files[name]={'before':hashlib.sha256(original).hexdigest() if original else None,'after':d.digest(candidate)}
|
||||
(self.package/'dataset.json').write_text('{}')
|
||||
(self.root/'commissioning/deploy_application.py').write_text('synthetic helper')
|
||||
self.manifest={'scope':'historical_publication_only','installationId':'plant','files':files,
|
||||
'existingDeploymentHelperSha256':d.digest(self.root/'commissioning/deploy_application.py'),
|
||||
'datasetSha256':d.digest(self.package/'dataset.json'),'installerSha256':d.digest(SCRIPT)}
|
||||
(self.package/'RELEASE.json').write_text(json.dumps(self.manifest))
|
||||
self.context=patch.multiple(d,ROOT=self.root,PACKAGE=self.package);self.context.start()
|
||||
self.calls=[]
|
||||
def tearDown(self):self.context.stop();self.tmp.cleanup()
|
||||
def fake_run(self,args,**kwargs):
|
||||
self.calls.append(args)
|
||||
if 'inspect' in args:out='sha256:test-old-image'
|
||||
elif 'ps' in args:out='test-container'
|
||||
elif 'exec' in args:out=json.dumps({'settingsUnchanged':True,'liveEnabled':False})
|
||||
else:out=''
|
||||
return subprocess.CompletedProcess(args,0,out,'')
|
||||
def execute(self,fail_at=None):
|
||||
def run(args,**kwargs):
|
||||
out=self.fake_run(args,**kwargs)
|
||||
if fail_at and fail_at in args:raise subprocess.CalledProcessError(1,args)
|
||||
return out
|
||||
def atomic(path,data,*args,**kwargs):path.write_bytes(data)
|
||||
def backup(source,dest):self.calls.append(['test-backup']);dest.write_text('synthetic backup')
|
||||
helpers=types.SimpleNamespace(atomic=atomic,backup_database=backup)
|
||||
with patch.object(d.os,'geteuid',return_value=0),patch.object(d.os,'chown'),patch.object(d.subprocess,'run',side_effect=run),patch.dict(sys.modules,{'deploy_application':helpers}):
|
||||
d.run('plant',True)
|
||||
def report(self):return json.loads(next(self.root.glob('history-timing-releases/*/REPORT.json')).read_text())
|
||||
def test_default_checks_only(self):
|
||||
d.run('plant');self.assertEqual(self.calls,[])
|
||||
self.assertFalse((self.root/'history-timing-releases').exists())
|
||||
def test_order_tests_backup_then_only_v4_replacement(self):
|
||||
self.execute()
|
||||
test=next(i for i,c in enumerate(self.calls) if '/app/run_tests.py' in c)
|
||||
backup=next(i for i,c in enumerate(self.calls) if c==['test-backup'])
|
||||
up=next(i for i,c in enumerate(self.calls) if 'up' in c)
|
||||
self.assertLess(test,backup);self.assertLess(backup,up)
|
||||
self.assertTrue(all('license-portal' not in c and 'forecast-engine' not in c for c in self.calls))
|
||||
self.assertEqual(self.report()['status'],'historical_timing_installed_no_actuation')
|
||||
def test_failed_tests_restore_host_source_without_restart(self):
|
||||
with self.assertRaises(subprocess.CalledProcessError):self.execute('/app/run_tests.py')
|
||||
self.assertFalse(any('up' in c for c in self.calls))
|
||||
for name,v in self.manifest['files'].items():self.assertEqual(d.digest(self.root/name),v['before'])
|
||||
def test_failed_registration_rolls_image_back(self):
|
||||
with self.assertRaises(subprocess.CalledProcessError):self.execute('exec')
|
||||
self.assertIn('previous_image_restored',self.report()['rollback'])
|
||||
self.assertTrue(any('--pull' in c and 'never' in c for c in self.calls))
|
||||
def test_source_drift_refused_before_actions(self):
|
||||
(self.root/d.TARGETS[0]).write_text('parallel change')
|
||||
with self.assertRaises(ValueError):d.verify()
|
||||
self.assertEqual(self.calls,[])
|
||||
def test_source_already_installed_idempotent(self):
|
||||
for name in d.TARGETS:(self.root/name).write_bytes((self.package/'source'/name).read_bytes())
|
||||
self.assertEqual(d.verify()['scope'],'historical_publication_only')
|
||||
self.execute()
|
||||
self.assertEqual(self.report()['status'],'historical_timing_installed_no_actuation')
|
||||
def test_no_production_selection_or_permission_in_bootstrap(self):
|
||||
self.assertNotIn("'/settings'",d.BOOTSTRAP)
|
||||
self.assertNotIn('/trial/arm',d.BOOTSTRAP)
|
||||
self.assertIn("before['settings']==after['settings']",d.BOOTSTRAP)
|
||||
self.assertIn("historyTimingVersion",d.BOOTSTRAP)
|
||||
def test_target_image_contains_installer_test_dependency(self):
|
||||
dockerfile=(SCRIPT.parents[1]/'Dockerfile').read_text()
|
||||
self.assertIn('COPY commissioning/deploy_history_timing.py ./commissioning/deploy_history_timing.py',dockerfile)
|
||||
|
||||
|
||||
if __name__=='__main__':unittest.main()
|
||||
@@ -0,0 +1,58 @@
|
||||
"""Explicit, retrospective equal-endpoint estimates for sparse state publication.
|
||||
|
||||
Never changes a source timestamp, real-time freshness limit, meter evidence or
|
||||
actuator lease. A repeated value after a bounded gap supports a MODEL estimate,
|
||||
not proof that the physical signal was constant between the observations.
|
||||
"""
|
||||
from math import isfinite
|
||||
import re
|
||||
|
||||
|
||||
def validate_policy(policy, sources):
|
||||
if policy is None:
|
||||
return None
|
||||
if (not isinstance(policy, dict) or set(policy) != {'version', 'method', 'sources'}
|
||||
or type(policy['version']) is not int or policy['version'] != 1
|
||||
or policy['method'] != 'equal_endpoint_v1'
|
||||
or not isinstance(policy['sources'], dict) or not policy['sources']):
|
||||
raise ValueError('Explicit historical timing policy required')
|
||||
defined = {s['key']: s for s in sources}
|
||||
for key, rule in policy['sources'].items():
|
||||
if key not in defined or defined[key]['role'] not in ('pv', 'physical_storage', 'solar_scale'):
|
||||
raise ValueError('Timing estimates limited to explicit power/scale sources')
|
||||
if not isinstance(rule, dict) or set(rule) != {'maxSpanSeconds', 'evidenceId'}:
|
||||
raise ValueError('Timing bound and evidence reference required')
|
||||
if type(rule['maxSpanSeconds']) is not int or not defined[key]['maxAgeSeconds'] <= rule['maxSpanSeconds'] <= 180:
|
||||
raise ValueError('Historical endpoint span outside reviewed bounds')
|
||||
if not isinstance(rule['evidenceId'], str) or not re.fullmatch(r'[A-Za-z0-9_-]{8,100}', rule['evidenceId']):
|
||||
raise ValueError('Invalid publication evidence reference')
|
||||
return policy
|
||||
|
||||
|
||||
def endpoint_bridges(series, first_observed, blocks, capture_gaps, policy, source_specs):
|
||||
"""Index strictly consecutive, equal original timestamps; never invent endpoints.
|
||||
|
||||
Only the stale tail of a normal hold is filled. A missing/invalid capture or a
|
||||
source conflict forbids bridging. The right endpoint must have been observed;
|
||||
its availability is retained by the caller for causal training and replay.
|
||||
"""
|
||||
result = {key: {} for key in series}
|
||||
if policy is None:
|
||||
return result
|
||||
for key, rule in policy['sources'].items():
|
||||
if key not in series:
|
||||
continue # e.g. an unused DC channel in an AC-terminal formula
|
||||
values = series[key]
|
||||
times = sorted(values)
|
||||
for left, right in zip(times, times[1:]):
|
||||
value, next_value = values[left], values[right]
|
||||
if (value is None or next_value is None or type(value) not in (int, float)
|
||||
or not isfinite(value) or value != next_value):
|
||||
continue
|
||||
if not source_specs[key]['maxAgeSeconds'] < right-left <= rule['maxSpanSeconds']:
|
||||
continue
|
||||
if any(start < right and end > left for start, end in (*blocks[key], *capture_gaps)):
|
||||
continue
|
||||
result[key][left] = {'end': right, 'availableAt': first_observed[key][right],
|
||||
'spanSeconds': right-left}
|
||||
return result
|
||||
@@ -13,6 +13,7 @@ from math import isfinite
|
||||
from statistics import median
|
||||
from zoneinfo import ZoneInfo
|
||||
import json
|
||||
from .history_timing import validate_policy, endpoint_bridges
|
||||
|
||||
UTC = timezone.utc
|
||||
LOCAL = ZoneInfo('Europe/Zurich')
|
||||
@@ -79,7 +80,8 @@ def validate_config(c):
|
||||
fields = {'datasetId', 'mappingSha256', 'inventorySha256', 'sources',
|
||||
'formula', 'solarReference', 'minimumCoverage', 'maximumGapSeconds',
|
||||
'minimumTrainingHours', 'historyDays'}
|
||||
if not isinstance(c, dict) or set(c) != fields:
|
||||
optional = {'sourceDatasetId', 'historyTimingPolicy'}
|
||||
if not isinstance(c, dict) or not fields <= set(c) or set(c)-fields-optional:
|
||||
raise ValueError('Explicit dataset configuration required')
|
||||
name = c['datasetId']
|
||||
if not isinstance(name, str) or not 1 <= len(name) <= 80 or any(x not in 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789-_' for x in name):
|
||||
@@ -122,6 +124,10 @@ def validate_config(c):
|
||||
raise ValueError('Solar origin roles mismatch')
|
||||
elif sr is not None:
|
||||
raise ValueError('No unused solar mapping allowed')
|
||||
validate_policy(c.get('historyTimingPolicy'), sources)
|
||||
source = c.get('sourceDatasetId')
|
||||
if source is not None and (not isinstance(source, str) or not 1 <= len(source) <= 80 or source == name or any(x not in 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789-_' for x in source)):
|
||||
raise ValueError('Invalid source dataset reference')
|
||||
canonical(c)
|
||||
return c
|
||||
|
||||
@@ -129,6 +135,13 @@ def validate_config(c):
|
||||
def register_dataset(con, plant, c, now):
|
||||
"""Operator endpoint only; device append endpoint cannot change units or limits."""
|
||||
validate_config(c)
|
||||
if c.get('sourceDatasetId'):
|
||||
origin = configuration(con, plant, c['sourceDatasetId'])
|
||||
if origin.get('sourceDatasetId'):
|
||||
raise ValueError('Dataset reference chains are not allowed')
|
||||
comparable = lambda v: {k:x for k,x in v.items() if k not in ('datasetId','sourceDatasetId','historyTimingPolicy')}
|
||||
if canonical(comparable(origin)) != canonical(comparable(c)):
|
||||
raise ValueError('Referenced observations must retain identical measurement meaning')
|
||||
value = canonical(c)
|
||||
con.execute('BEGIN IMMEDIATE')
|
||||
try:
|
||||
@@ -178,6 +191,8 @@ def ingest_batch(con, plant, payload, now):
|
||||
if not isinstance(payload,dict) or set(payload) != {'version','datasetId','records'} or type(payload.get('version')) is not int or payload['version'] != 1:
|
||||
raise ValueError('Measurement batch version/fields invalid')
|
||||
c = configuration(con,plant,payload['datasetId'])
|
||||
if c.get('sourceDatasetId'):
|
||||
raise ValueError('Derived dataset is read-only; append to the original measurement dataset')
|
||||
records = payload['records']
|
||||
if not isinstance(records,list) or not 1 <= len(records) <= 120:
|
||||
raise ValueError('Batch requires 1..120 captures')
|
||||
@@ -244,8 +259,10 @@ uncovered portions remain quantified and are never filled with zero.
|
||||
primary.pop(sr['pvKey']); primary.pop(sr['batteryKey'])
|
||||
for s in c['sources']:
|
||||
if s['key'] in (sr['rawKey'],sr['scaleKey']): primary[s['key']] = s
|
||||
timing_policy = validate_policy(c.get('historyTimingPolicy'), c['sources'])
|
||||
first,last = records[0]['capturedAt'],records[-1]['capturedAt']
|
||||
series = {k:{} for k in primary}; blocks = {k:[] for k in primary}; gaps = []
|
||||
first_observed = {k:{} for k in primary}
|
||||
pending = {k:None for k in primary}; high = {k:0 for k in primary}
|
||||
edges = {first,last}
|
||||
for a,b in zip(records,records[1:]):
|
||||
@@ -266,6 +283,7 @@ uncovered portions remain quantified and are never filled with zero.
|
||||
series[k][t] = None
|
||||
else:
|
||||
series[k].setdefault(t,v['value'])
|
||||
first_observed[k].setdefault(t, max(at, r.get('_receivedAt', at)))
|
||||
for k,s in primary.items():
|
||||
if pending[k] is not None:
|
||||
blocks[k].append((pending[k],last));edges.update(blocks[k][-1])
|
||||
@@ -273,24 +291,38 @@ uncovered portions remain quantified and are never filled with zero.
|
||||
edges.update(range(first//300*300+300,last,300))
|
||||
edges = sorted(x for x in edges if first <= x <= last)
|
||||
knots = {k:sorted(v) for k,v in series.items()}
|
||||
bridges = endpoint_bridges(series, first_observed, blocks, gaps, timing_policy, primary)
|
||||
bins = {}
|
||||
for a,b in zip(edges,edges[1:]):
|
||||
start = a//300*300; item = bins.setdefault(start,{'start':start,'seconds':0,'wattSeconds':0.,'maxGapSeconds':0,'currentGap':0})
|
||||
start = a//300*300; item = bins.setdefault(start,{'start':start,'seconds':0,'wattSeconds':0.,'maxGapSeconds':0,'currentGap':0,
|
||||
'publicationEstimatedSeconds':0,'publicationEstimatedBySource':{},'knownAt':0,'missingSourceSeconds':{}})
|
||||
vals = {}; usable = not any(x <= a < y for x,y in gaps)
|
||||
extended = []; unavailable = []; known_at = 0
|
||||
for k,s in primary.items():
|
||||
pos = bisect_right(knots[k],a)-1
|
||||
t = knots[k][pos] if pos >= 0 else None
|
||||
if t is None or a >= t+s['maxAgeSeconds'] or series[k][t] is None or any(x <= a < y for x,y in blocks[k]):
|
||||
usable = False
|
||||
else: vals[k] = series[k][t]
|
||||
bridge = bridges[k].get(t)
|
||||
expired = t is None or a >= t+s['maxAgeSeconds']
|
||||
supported_tail = bool(bridge and a < bridge['end'])
|
||||
if t is None or (expired and not supported_tail) or series[k][t] is None or any(x <= a < y for x,y in blocks[k]):
|
||||
usable = False; unavailable.append(k)
|
||||
else:
|
||||
vals[k] = series[k][t]
|
||||
known_at = max(known_at, first_observed[k][t])
|
||||
if expired:
|
||||
extended.append(k); known_at = max(known_at, bridge['availableAt'])
|
||||
load = None
|
||||
if usable:
|
||||
try: load = physical_value(vals,c)
|
||||
except ValueError: usable = False
|
||||
if usable:
|
||||
item['seconds'] += b-a; item['wattSeconds'] += load*(b-a);item['currentGap'] = 0
|
||||
item['knownAt'] = max(item['knownAt'], known_at)
|
||||
if extended: item['publicationEstimatedSeconds'] += b-a
|
||||
for key in extended: item['publicationEstimatedBySource'][key] = item['publicationEstimatedBySource'].get(key,0)+b-a
|
||||
else:
|
||||
item['currentGap'] += b-a; item['maxGapSeconds'] = max(item['maxGapSeconds'],item['currentGap'])
|
||||
for key in unavailable: item['missingSourceSeconds'][key] = item['missingSourceSeconds'].get(key,0)+b-a
|
||||
out=[]
|
||||
for t,item in sorted(bins.items()):
|
||||
# Partial beginning/end bins remain diagnostic and cannot train.
|
||||
@@ -300,7 +332,12 @@ uncovered portions remain quantified and are never filled with zero.
|
||||
out.append({'start':t,'coverage':coverage,'coveredSeconds':item['seconds'],'maxGapSeconds':item['maxGapSeconds'],
|
||||
'loadW':item['wattSeconds']/item['seconds'] if item['seconds'] else None,
|
||||
'profileUsable':eligible,'estimated':True,'fullPhysicalIntervalMeasured':False,
|
||||
'meterBoundaryVerified':False,'method':c['formula']})
|
||||
'meterBoundaryVerified':False,'method':c['formula'],
|
||||
'historyTimingMethod':(timing_policy or {}).get('method','strict_expiry'),
|
||||
'publicationEstimatedSeconds':item['publicationEstimatedSeconds'],
|
||||
'publicationEstimatedBySourceSeconds':item['publicationEstimatedBySource'],
|
||||
'missingSourceSeconds':item['missingSourceSeconds'],
|
||||
'availableNotBefore':max(t+300,item['knownAt'])})
|
||||
return out
|
||||
|
||||
|
||||
@@ -341,13 +378,14 @@ def advance(con, plant, dataset, settings, now):
|
||||
c=configuration(con,plant,dataset); tick=now//300
|
||||
old=con.execute('SELECT tick FROM planner_pipeline_state WHERE plant=? AND dataset=?',(plant,dataset)).fetchone()
|
||||
if old and old[0]==tick: return
|
||||
fetched=con.execute('SELECT value FROM planner_observations WHERE plant=? AND dataset=? AND captured_at>=? AND captured_at<=? AND received_at<=? ORDER BY captured_at',
|
||||
(plant,dataset,now-172800-300,now,now)).fetchall()
|
||||
records=[json.loads(r[0]) for r in fetched]
|
||||
observation_dataset=c.get('sourceDatasetId',dataset)
|
||||
fetched=con.execute('SELECT value,received_at FROM planner_observations WHERE plant=? AND dataset=? AND captured_at>=? AND captured_at<=? AND received_at<=? ORDER BY captured_at',
|
||||
(plant,observation_dataset,now-172800-300,now,now)).fetchall()
|
||||
records=[{**json.loads(r[0]),'_receivedAt':r[1]} for r in fetched]
|
||||
windows=reconstruct(records,c)
|
||||
with con:
|
||||
for w in windows:
|
||||
if w['start']+300 > now-30: continue
|
||||
if w['start']+300 > now-30 or w.get('availableNotBefore',0)>now: continue
|
||||
con.execute('INSERT INTO planner_load_windows VALUES(?,?,?,?,?,?) ON CONFLICT(plant,dataset,start) DO UPDATE SET available_at=excluded.available_at,coverage=excluded.coverage,value=excluded.value',
|
||||
(plant,dataset,w['start'],now,w['coverage'],canonical(w)))
|
||||
rows=[json.loads(r[0]) for r in con.execute('SELECT value FROM planner_load_windows WHERE plant=? AND dataset=? AND start>=? AND start+300<=? ORDER BY start',(plant,dataset,now-c['historyDays']*86400,now))]
|
||||
@@ -356,7 +394,12 @@ def advance(con, plant, dataset, settings, now):
|
||||
cadence=86400 if settings['trainingCadence']=='daily' else 604800
|
||||
detail={'observationsInLast48h':len(records),'usableWindows':len(good),'requiredEquivalentHours':c['minimumTrainingHours'],
|
||||
'usableEquivalentHours':sum(r['coverage'] for r in good)/12,'datasetId':dataset,'trainingCadence':settings['trainingCadence'],
|
||||
'automaticTrainingConnected':True,'liveEnabled':False,'sourceIsConfiguredEstimate':True}
|
||||
'automaticTrainingConnected':True,'liveEnabled':False,'sourceIsConfiguredEstimate':True,
|
||||
'observationDatasetId':observation_dataset,
|
||||
'historyTimingMethod':c.get('historyTimingPolicy',{}).get('method','strict_expiry'),
|
||||
'publicationEstimatedSeconds':sum(r.get('publicationEstimatedSeconds',0) for r in good),
|
||||
'originalFreshnessLimitsChanged':False,
|
||||
'lastCapture':iso(records[-1]['capturedAt']) if records else None}
|
||||
state='collecting'
|
||||
if sum(r['coverage'] for r in good) >= c['minimumTrainingHours']*12:
|
||||
state='model_ready' if active else 'training'
|
||||
@@ -366,10 +409,13 @@ def advance(con, plant, dataset, settings, now):
|
||||
candidate={'profiles':profiles,'trainedAt':now,'trainedThrough':max(r['start']+300 for r in good),
|
||||
'trainingWindowFrom':good[0]['start'],'sourceDataset':dataset,'formula':c['formula'],
|
||||
'methodVersion':'physical-profile-v1','validation':{'status':'bootstrap_insufficient_holdout'},
|
||||
'historyTimingMethod':c.get('historyTimingPolicy',{}).get('method','strict_expiry'),
|
||||
'timingPolicySha256':sha256(canonical(c.get('historyTimingPolicy')).encode()).hexdigest(),
|
||||
'observationDatasetId':observation_dataset,
|
||||
'measurementBoundaryVerified':False}
|
||||
# Causal held-out validation: build validation profiles without the final day.
|
||||
split=good[-1]['start']-86400
|
||||
train=[r for r in good if r['start']+300<=split]; test=[r for r in good if r['start']>=split]
|
||||
train=[r for r in good if r['start']+300<=split and r.get('availableNotBefore',r['start']+300)<=split]; test=[r for r in good if r['start']>=split]
|
||||
if len(train)>=288 and len(test)>=240:
|
||||
val={'profiles':build_profiles(train)}
|
||||
errors={f:sum(abs(predict(val,f,r['start'])-r['loadW'])*r['coverage'] for r in test)/sum(r['coverage'] for r in test) for f in FAMILIES}
|
||||
@@ -378,7 +424,7 @@ def advance(con, plant, dataset, settings, now):
|
||||
# Existing model can be replaced only with held-out evidence and no aggregate regression.
|
||||
promote=active is None
|
||||
if active and candidate['validation']['status']=='causal_holdout':
|
||||
past_model_eligible=active['trainedThrough']<=split
|
||||
past_model_eligible=active['trainedThrough']<=split and active['trainedAt']<=split
|
||||
if past_model_eligible:
|
||||
incumbent=sum(abs(predict(active,f,r['start'])-r['loadW'])*r['coverage'] for f in FAMILIES for r in test)
|
||||
challenger=sum(abs(predict(val,f,r['start'])-r['loadW'])*r['coverage'] for f in FAMILIES for r in test)
|
||||
@@ -409,9 +455,10 @@ def apply_load_forecast(con,plant,dataset,forecast,decision):
|
||||
model=current_model(con,plant,dataset,decision)
|
||||
if not model:
|
||||
raise ValueError('Corrected profile is collecting data; legacy household forecast is not silently reused')
|
||||
last=con.execute('SELECT value FROM planner_observations WHERE plant=? AND dataset=? AND captured_at<=? AND received_at<=? ORDER BY captured_at DESC LIMIT 1',(plant,dataset,decision,decision)).fetchone()
|
||||
c=configuration(con,plant,dataset)
|
||||
last=con.execute('SELECT value FROM planner_observations WHERE plant=? AND dataset=? AND captured_at<=? AND received_at<=? ORDER BY captured_at DESC LIMIT 1',(plant,c.get('sourceDatasetId',dataset),decision,decision)).fetchone()
|
||||
if not last: raise ValueError('No recent corrected observation')
|
||||
last=json.loads(last[0]); c=configuration(con,plant,dataset)
|
||||
last=json.loads(last[0])
|
||||
if decision-last['capturedAt']>120: raise ValueError('Corrected measurements older than 120 seconds')
|
||||
sdl_sources=[s for s in c['sources'] if s['role']=='sdl_request']
|
||||
if len(sdl_sources)!=1: raise ValueError('Explicit SDL request channel needed for the labelled persistence scenario')
|
||||
@@ -433,7 +480,9 @@ def apply_load_forecast(con,plant,dataset,forecast,decision):
|
||||
'loadModelTrainedAt':iso(model['trainedAt']),'pvForecastEventId':forecast.get('eventId'),
|
||||
'measurementBasis':'configured_physical_estimate','measurementBoundaryVerified':False,
|
||||
'externalPolicy':'last_sdl_request_persistence_estimate','externalObservedAt':iso(r['sourceUpdatedAt']),
|
||||
'externalPowerW':sdl,'futureSdlPublished':False,'validation':model['validation']}}
|
||||
'externalPowerW':sdl,'futureSdlPublished':False,'validation':model['validation'],
|
||||
'historyTimingMethod':model.get('historyTimingMethod','strict_expiry'),
|
||||
'observationDatasetId':model.get('observationDatasetId',dataset)}}
|
||||
return result
|
||||
|
||||
|
||||
@@ -441,9 +490,11 @@ def pipeline_status(con,plant):
|
||||
out=[]
|
||||
for row in con.execute('SELECT dataset,config FROM planner_data_sets WHERE plant=? ORDER BY dataset',(plant,)):
|
||||
ds=row[0]; c=json.loads(row[1]); state=con.execute('SELECT status,detail FROM planner_pipeline_state WHERE plant=? AND dataset=?',(plant,ds)).fetchone()
|
||||
count=con.execute('SELECT COUNT(*),MIN(captured_at),MAX(captured_at) FROM planner_observations WHERE plant=? AND dataset=?',(plant,ds)).fetchone()
|
||||
count=con.execute('SELECT COUNT(*),MIN(captured_at),MAX(captured_at) FROM planner_observations WHERE plant=? AND dataset=?',(plant,c.get('sourceDatasetId',ds))).fetchone()
|
||||
out.append({'datasetId':ds,'formula':c['formula'],'mappingSha256':c['mappingSha256'],'records':count[0],
|
||||
'firstCapture':iso(count[1]) if count[1] else None,'lastCapture':iso(count[2]) if count[2] else None,
|
||||
'status':state[0] if state else 'awaiting_measurements','detail':json.loads(state[1]) if state else {},
|
||||
'minimumCoverage':c['minimumCoverage'],'maximumGapSeconds':c['maximumGapSeconds']})
|
||||
return {'datasets':out,'liveEnabled':False,'legacyHistoryModified':False}
|
||||
'minimumCoverage':c['minimumCoverage'],'maximumGapSeconds':c['maximumGapSeconds'],
|
||||
'observationDatasetId':c.get('sourceDatasetId',ds),
|
||||
'historyTimingMethod':c.get('historyTimingPolicy',{}).get('method','strict_expiry')})
|
||||
return {'datasets':out,'liveEnabled':False,'legacyHistoryModified':False,'historyTimingVersion':1}
|
||||
|
||||
@@ -0,0 +1,204 @@
|
||||
"""Synthetic publication gaps plus full source-reference/application integration."""
|
||||
import copy
|
||||
import json
|
||||
import tempfile
|
||||
import unittest
|
||||
from datetime import datetime, timezone
|
||||
from pathlib import Path
|
||||
from fastapi.testclient import TestClient
|
||||
from netplan_v4 import measurement_pipeline as m
|
||||
from netplan_v4.history_timing import validate_policy
|
||||
from netplan_v4.store import PlannerStore
|
||||
from netplan_v4.service import create_app, ingest, run_once
|
||||
from test_measurement_pipeline import config, record, NOW, AID
|
||||
from test_v4 import inputs, TOKEN
|
||||
|
||||
|
||||
def timed_config(**kw):
|
||||
return config(historyTimingPolicy={'version':1,'method':'equal_endpoint_v1',
|
||||
'sources':{'pv':{'maxSpanSeconds':130,'evidenceId':'synthetic-publication-policy'}}}, **kw)
|
||||
|
||||
|
||||
def projected(span=360, period=120, c=None):
|
||||
c = c or timed_config()
|
||||
result=[]
|
||||
for delta in range(0,span+1,30):
|
||||
r=record(NOW+delta,c)
|
||||
r['raw']['pv']['sourceUpdatedAt']=NOW+(delta//period)*period
|
||||
result.append(m.project(r,c,AID,NOW+span))
|
||||
return result
|
||||
|
||||
|
||||
class HistoricalTimingTest(unittest.TestCase):
|
||||
def test_strict_policy_unchanged(self):
|
||||
rows=projected(); result=m.reconstruct(rows,config())
|
||||
self.assertEqual(result[0]['coveredSeconds'],180)
|
||||
self.assertEqual(result[0]['publicationEstimatedSeconds'],0)
|
||||
|
||||
def test_equal_endpoint_bounded_tail_estimate(self):
|
||||
w=m.reconstruct(projected(),timed_config())[0]
|
||||
self.assertEqual(w['coveredSeconds'],300)
|
||||
self.assertEqual(w['publicationEstimatedSeconds'],120)
|
||||
self.assertEqual(w['publicationEstimatedBySourceSeconds'],{'pv':120})
|
||||
self.assertEqual(w['loadW'],6000)
|
||||
self.assertFalse(w['fullPhysicalIntervalMeasured'])
|
||||
self.assertFalse(w['meterBoundaryVerified'])
|
||||
|
||||
def test_no_extension_at_open_end(self):
|
||||
rows=projected(span=300)
|
||||
for r in rows: r['raw']['pv']['sourceUpdatedAt']=NOW
|
||||
w=m.reconstruct(rows,timed_config())[0]
|
||||
self.assertEqual(w['coveredSeconds'],60)
|
||||
|
||||
def test_equal_zero_requires_new_original_timestamp(self):
|
||||
rows=projected()
|
||||
for r in rows:r['raw']['pv']['value']=0
|
||||
self.assertEqual(m.reconstruct(rows,timed_config())[0]['coveredSeconds'],300)
|
||||
for r in rows:r['raw']['pv']['sourceUpdatedAt']=NOW
|
||||
self.assertEqual(m.reconstruct(rows,timed_config())[0]['coveredSeconds'],60)
|
||||
|
||||
def test_changed_endpoints_not_interpolated(self):
|
||||
rows=projected()
|
||||
for r in rows:r['raw']['pv']['value']+=r['raw']['pv']['sourceUpdatedAt']-NOW
|
||||
self.assertEqual(m.reconstruct(rows,timed_config())[0]['publicationEstimatedSeconds'],0)
|
||||
|
||||
def test_no_floating_tolerance(self):
|
||||
rows=projected()
|
||||
for r in rows:r['raw']['pv']['value']+=1e-9*(r['raw']['pv']['sourceUpdatedAt']-NOW)
|
||||
self.assertEqual(m.reconstruct(rows,timed_config())[0]['publicationEstimatedSeconds'],0)
|
||||
|
||||
def test_long_gap_not_recovered_by_equal_zero(self):
|
||||
rows=projected(span=720,period=660)
|
||||
for r in rows:r['raw']['pv']['value']=0
|
||||
out=m.reconstruct(rows,timed_config())
|
||||
self.assertEqual(sum(w['publicationEstimatedSeconds'] for w in out),0)
|
||||
self.assertEqual(out[0]['coveredSeconds'],60)
|
||||
|
||||
def test_collector_gap_not_bridged(self):
|
||||
rows=projected(); rows=[r for r in rows if r['capturedAt']!=NOW+90]
|
||||
w=m.reconstruct(rows,timed_config())[0]
|
||||
self.assertLess(w['coveredSeconds'],300)
|
||||
self.assertEqual(w['publicationEstimatedSeconds'],60)
|
||||
|
||||
def test_invalid_source_blocks_equality_inference(self):
|
||||
rows=projected();rows[3]['raw']['pv']['valid']=False
|
||||
w=m.reconstruct(rows,timed_config())[0]
|
||||
self.assertEqual(w['publicationEstimatedSeconds'],60)
|
||||
self.assertLess(w['coverage'],1)
|
||||
|
||||
def test_conflicting_same_timestamp_blocks_equality(self):
|
||||
rows=projected();rows[1]['raw']['pv']['value']+=10
|
||||
w=m.reconstruct(rows,timed_config())[0]
|
||||
self.assertEqual(w['publicationEstimatedSeconds'],60)
|
||||
|
||||
def test_invalid_other_physical_input_still_vetoes(self):
|
||||
rows=projected();rows[3]['raw']['battery']['valid']=False
|
||||
w=m.reconstruct(rows,timed_config())[0]
|
||||
self.assertLess(w['coverage'],1)
|
||||
|
||||
def test_future_receipt_not_available_early(self):
|
||||
rows=projected()
|
||||
for r in rows:r['_receivedAt']=NOW+900
|
||||
w=m.reconstruct(rows,timed_config())[0]
|
||||
self.assertEqual(w['availableNotBefore'],NOW+900)
|
||||
|
||||
def test_unrelated_virtual_failure_does_not_veto(self):
|
||||
rows=projected()
|
||||
for r in rows:r['raw']['sdl']['valid']=False
|
||||
self.assertEqual(m.reconstruct(rows,timed_config())[0]['coverage'],1)
|
||||
|
||||
def test_no_input_mutation_or_source_age_change(self):
|
||||
rows=projected();c=timed_config();before=copy.deepcopy((rows,c))
|
||||
m.reconstruct(rows,c)
|
||||
self.assertEqual((rows,c),before)
|
||||
self.assertEqual(c['sources'][1]['maxAgeSeconds'],60)
|
||||
|
||||
def test_policy_requires_trusted_explicit_bounds(self):
|
||||
for change in ({'version':True},{'method':'always_fill'},{'sources':{'pv':{'maxSpanSeconds':600,'evidenceId':'test-policy'}}},
|
||||
{'sources':{'grid':{'maxSpanSeconds':90,'evidenceId':'test-policy'}}},
|
||||
{'sources':{'sdl':{'maxSpanSeconds':90,'evidenceId':'test-policy'}}}):
|
||||
c=timed_config();c['historyTimingPolicy'].update(change)
|
||||
with self.subTest(change=change),self.assertRaises(ValueError):m.validate_config(c)
|
||||
|
||||
def test_profile_values_stay_estimates(self):
|
||||
w=m.reconstruct(projected(),timed_config())[0]
|
||||
self.assertTrue(w['estimated'])
|
||||
self.assertNotIn('controlEnabled',w)
|
||||
self.assertNotIn('accountingEvidenceId',w)
|
||||
|
||||
|
||||
class HistoryReferenceIntegrationTest(unittest.TestCase):
|
||||
def setUp(self):
|
||||
self.tmp=tempfile.TemporaryDirectory();self.store=PlannerStore(str(Path(self.tmp.name)/'test.sqlite'))
|
||||
self.c=config();self.new=timed_config(datasetId='physical-v2',sourceDatasetId='physical-v1')
|
||||
m.register_dataset(self.store.con,AID,self.c,NOW)
|
||||
def tearDown(self):self.store.close();self.tmp.cleanup()
|
||||
def register(self):m.register_dataset(self.store.con,AID,self.new,NOW)
|
||||
def fill(self):
|
||||
raw=[]
|
||||
for t in range(NOW-7200,NOW+1,30):
|
||||
r=record(t);r['raw']['pv']['sourceUpdatedAt']=t-(t-(NOW-7200))%120;raw.append(r)
|
||||
for i in range(0,len(raw),120):m.ingest_batch(self.store.con,AID,{'version':1,'datasetId':'physical-v1','records':raw[i:i+120]},NOW)
|
||||
return len(raw)
|
||||
def test_reference_shares_original_immutable_observations(self):
|
||||
n=self.fill();self.register()
|
||||
self.assertEqual(m.pipeline_status(self.store.con,AID)['datasets'][1]['records'],n)
|
||||
self.assertEqual(self.store.con.execute('SELECT count(*) FROM planner_observations').fetchone()[0],n)
|
||||
self.assertEqual(m.configuration(self.store.con,AID,'physical-v1'),self.c)
|
||||
def test_no_append_into_derived_dataset(self):
|
||||
self.register()
|
||||
with self.assertRaises(ValueError):m.ingest_batch(self.store.con,AID,{'version':1,'datasetId':'physical-v2','records':[record(NOW)]},NOW)
|
||||
def test_source_mapping_cannot_change_in_reference(self):
|
||||
for key,value in [('mappingSha256','c'*64),('formula','solar_terminal_v1'),('minimumCoverage',.9)]:
|
||||
c=copy.deepcopy(self.new);c[key]=value
|
||||
with self.subTest(key=key),self.assertRaises(ValueError):m.register_dataset(self.store.con,AID,c,NOW)
|
||||
def test_no_reference_to_other_plant(self):
|
||||
with self.assertRaises(ValueError):m.register_dataset(self.store.con,'00000000-0000-4000-8000-000000000099',self.new,NOW)
|
||||
def test_no_cycles_or_reference_chains(self):
|
||||
self.register(); c={**self.new,'datasetId':'physical-v3','sourceDatasetId':'physical-v2'}
|
||||
with self.assertRaises(ValueError):m.register_dataset(self.store.con,AID,c,NOW)
|
||||
def test_training_model_is_versioned_and_policy_annotated(self):
|
||||
self.fill();self.register();settings=self.store.settings(AID)
|
||||
m.advance(self.store.con,AID,'physical-v1',settings,NOW+60)
|
||||
m.advance(self.store.con,AID,'physical-v2',settings,NOW+60)
|
||||
self.assertIsNone(m.current_model(self.store.con,AID,'physical-v1',NOW+60))
|
||||
model=m.current_model(self.store.con,AID,'physical-v2',NOW+60)
|
||||
self.assertIsNotNone(model);self.assertEqual(model['historyTimingMethod'],'equal_endpoint_v1')
|
||||
self.assertFalse(model['measurementBoundaryVerified'])
|
||||
state=m.pipeline_status(self.store.con,AID)['datasets'][1]['detail']
|
||||
self.assertGreater(state['publicationEstimatedSeconds'],0)
|
||||
self.assertFalse(state['originalFreshnessLimitsChanged'])
|
||||
def test_no_future_receipt_leaks_into_model(self):
|
||||
self.fill();self.register()
|
||||
m.advance(self.store.con,AID,'physical-v2',self.store.settings(AID),NOW-60)
|
||||
self.assertIsNone(m.current_model(self.store.con,AID,'physical-v2',NOW-60))
|
||||
def test_existing_sdl_freshness_not_relaxed_by_history(self):
|
||||
self.fill();self.register();m.advance(self.store.con,AID,'physical-v2',self.store.settings(AID),NOW+30)
|
||||
op,fc,tar=inputs(datetime.fromtimestamp(NOW+180,timezone.utc))
|
||||
with self.assertRaises(ValueError):m.apply_load_forecast(self.store.con,AID,'physical-v2',fc,NOW+180)
|
||||
def test_full_application_plan_uses_reference_model(self):
|
||||
self.fill();self.register();settings=self.store.settings(AID)
|
||||
m.advance(self.store.con,AID,'physical-v2',settings,NOW)
|
||||
op,fc,tar=inputs(datetime.fromtimestamp(NOW,timezone.utc))
|
||||
for kind,val in zip(('operation','forecast','tariffs'),(op,fc,tar)):ingest(self.store,AID,kind,val,datetime.fromtimestamp(NOW,timezone.utc))
|
||||
self.store.save_settings(AID,{'forecastSource':'corrected_profile','measurementDataset':'physical-v2'},0,datetime.fromtimestamp(NOW,timezone.utc))
|
||||
out=run_once(self.store,datetime.fromtimestamp(NOW,timezone.utc))
|
||||
self.assertTrue(out['executable'],out);self.assertFalse(out['liveEnabled'])
|
||||
self.assertEqual(out['inputQuality']['dataPipeline']['historyTimingMethod'],'equal_endpoint_v1')
|
||||
def test_backfilled_or_late_confirmed_training_is_not_causal_holdout(self):
|
||||
# Completed synthetic windows learned only NOW cannot validate a model at a past split.
|
||||
with self.store.con:
|
||||
for t in range(NOW-3*86400,NOW,300):
|
||||
window={'start':t,'profileUsable':True,'coverage':1.,'loadW':5000.,'availableNotBefore':NOW}
|
||||
self.store.con.execute('INSERT INTO planner_load_windows VALUES(?,?,?,?,?,?)',(AID,'physical-v1',t,NOW,1.,m.canonical(window)))
|
||||
m.advance(self.store.con,AID,'physical-v1',self.store.settings(AID),NOW)
|
||||
model=m.current_model(self.store.con,AID,'physical-v1',NOW)
|
||||
self.assertEqual(model['validation']['status'],'bootstrap_insufficient_holdout')
|
||||
|
||||
def test_v1_raw_ingest_works_after_reference_added(self):
|
||||
self.register()
|
||||
r=m.ingest_batch(self.store.con,AID,{'version':1,'datasetId':'physical-v1','records':[record(NOW)]},NOW)
|
||||
self.assertEqual(r['stored'],1)
|
||||
|
||||
|
||||
if __name__=='__main__':unittest.main()
|
||||
@@ -0,0 +1,94 @@
|
||||
"""Installer ordering/recovery tests; subprocesses, privileges and DB backup are simulated."""
|
||||
import hashlib
|
||||
import importlib.util
|
||||
import json
|
||||
import subprocess
|
||||
import sys
|
||||
import tempfile
|
||||
import types
|
||||
import unittest
|
||||
from pathlib import Path
|
||||
from unittest.mock import patch
|
||||
|
||||
SCRIPT=Path(__file__).resolve().parents[1]/'commissioning/deploy_history_timing.py'
|
||||
spec=importlib.util.spec_from_file_location('history_deploy_tests',SCRIPT)
|
||||
d=importlib.util.module_from_spec(spec);spec.loader.exec_module(d)
|
||||
|
||||
|
||||
class TimingDeploymentTest(unittest.TestCase):
|
||||
def setUp(self):
|
||||
self.tmp=tempfile.TemporaryDirectory();self.root=Path(self.tmp.name)
|
||||
self.package=self.root/'commissioning/history-timing-source';self.package.mkdir(parents=True)
|
||||
files={}
|
||||
for index,name in enumerate(d.TARGETS):
|
||||
original=(b'old:'+name.encode()) if index%2==0 else None
|
||||
target=self.root/name;target.parent.mkdir(parents=True,exist_ok=True)
|
||||
if original is not None:target.write_bytes(original)
|
||||
candidate=self.package/'source'/name;candidate.parent.mkdir(parents=True,exist_ok=True);candidate.write_bytes(b'new:'+name.encode())
|
||||
files[name]={'before':hashlib.sha256(original).hexdigest() if original else None,'after':d.digest(candidate)}
|
||||
(self.package/'dataset.json').write_text('{}')
|
||||
(self.root/'commissioning/deploy_application.py').write_text('synthetic helper')
|
||||
self.manifest={'scope':'historical_publication_only','installationId':'plant','files':files,
|
||||
'existingDeploymentHelperSha256':d.digest(self.root/'commissioning/deploy_application.py'),
|
||||
'datasetSha256':d.digest(self.package/'dataset.json'),'installerSha256':d.digest(SCRIPT)}
|
||||
(self.package/'RELEASE.json').write_text(json.dumps(self.manifest))
|
||||
self.context=patch.multiple(d,ROOT=self.root,PACKAGE=self.package);self.context.start()
|
||||
self.calls=[]
|
||||
def tearDown(self):self.context.stop();self.tmp.cleanup()
|
||||
def fake_run(self,args,**kwargs):
|
||||
self.calls.append(args)
|
||||
if 'inspect' in args:out='sha256:test-old-image'
|
||||
elif 'ps' in args:out='test-container'
|
||||
elif 'exec' in args:out=json.dumps({'settingsUnchanged':True,'liveEnabled':False})
|
||||
else:out=''
|
||||
return subprocess.CompletedProcess(args,0,out,'')
|
||||
def execute(self,fail_at=None):
|
||||
def run(args,**kwargs):
|
||||
out=self.fake_run(args,**kwargs)
|
||||
if fail_at and fail_at in args:raise subprocess.CalledProcessError(1,args)
|
||||
return out
|
||||
def atomic(path,data,*args,**kwargs):path.write_bytes(data)
|
||||
def backup(source,dest):self.calls.append(['test-backup']);dest.write_text('synthetic backup')
|
||||
helpers=types.SimpleNamespace(atomic=atomic,backup_database=backup)
|
||||
with patch.object(d.os,'geteuid',return_value=0),patch.object(d.os,'chown'),patch.object(d.subprocess,'run',side_effect=run),patch.dict(sys.modules,{'deploy_application':helpers}):
|
||||
d.run('plant',True)
|
||||
def report(self):return json.loads(next(self.root.glob('history-timing-releases/*/REPORT.json')).read_text())
|
||||
def test_default_checks_only(self):
|
||||
d.run('plant');self.assertEqual(self.calls,[])
|
||||
self.assertFalse((self.root/'history-timing-releases').exists())
|
||||
def test_order_tests_backup_then_only_v4_replacement(self):
|
||||
self.execute()
|
||||
test=next(i for i,c in enumerate(self.calls) if '/app/run_tests.py' in c)
|
||||
backup=next(i for i,c in enumerate(self.calls) if c==['test-backup'])
|
||||
up=next(i for i,c in enumerate(self.calls) if 'up' in c)
|
||||
self.assertLess(test,backup);self.assertLess(backup,up)
|
||||
self.assertTrue(all('license-portal' not in c and 'forecast-engine' not in c for c in self.calls))
|
||||
self.assertEqual(self.report()['status'],'historical_timing_installed_no_actuation')
|
||||
def test_failed_tests_restore_host_source_without_restart(self):
|
||||
with self.assertRaises(subprocess.CalledProcessError):self.execute('/app/run_tests.py')
|
||||
self.assertFalse(any('up' in c for c in self.calls))
|
||||
for name,v in self.manifest['files'].items():self.assertEqual(d.digest(self.root/name),v['before'])
|
||||
def test_failed_registration_rolls_image_back(self):
|
||||
with self.assertRaises(subprocess.CalledProcessError):self.execute('exec')
|
||||
self.assertIn('previous_image_restored',self.report()['rollback'])
|
||||
self.assertTrue(any('--pull' in c and 'never' in c for c in self.calls))
|
||||
def test_source_drift_refused_before_actions(self):
|
||||
(self.root/d.TARGETS[0]).write_text('parallel change')
|
||||
with self.assertRaises(ValueError):d.verify()
|
||||
self.assertEqual(self.calls,[])
|
||||
def test_source_already_installed_idempotent(self):
|
||||
for name in d.TARGETS:(self.root/name).write_bytes((self.package/'source'/name).read_bytes())
|
||||
self.assertEqual(d.verify()['scope'],'historical_publication_only')
|
||||
self.execute()
|
||||
self.assertEqual(self.report()['status'],'historical_timing_installed_no_actuation')
|
||||
def test_no_production_selection_or_permission_in_bootstrap(self):
|
||||
self.assertNotIn("'/settings'",d.BOOTSTRAP)
|
||||
self.assertNotIn('/trial/arm',d.BOOTSTRAP)
|
||||
self.assertIn("before['settings']==after['settings']",d.BOOTSTRAP)
|
||||
self.assertIn("historyTimingVersion",d.BOOTSTRAP)
|
||||
def test_target_image_contains_installer_test_dependency(self):
|
||||
dockerfile=(SCRIPT.parents[1]/'Dockerfile').read_text()
|
||||
self.assertIn('COPY commissioning/deploy_history_timing.py ./commissioning/deploy_history_timing.py',dockerfile)
|
||||
|
||||
|
||||
if __name__=='__main__':unittest.main()
|
||||
Reference in New Issue
Block a user