From 1518d015c06a2160a8d16cff9de6b53e8dc3e7ae Mon Sep 17 00:00:00 2001 From: Jakob van Santen Date: Tue, 3 Dec 2024 09:36:44 +0100 Subject: [PATCH] Reintegrate dev/v0.10 (#87) * Bump version to 0.10a0 * Follow v0.8 -> v0.9 API churn AbsPlainT3Unit -> AbsT4Unit AbsReviewT3Unit -> AbsT3Unit * Follow AlertConsumer API churn * RapidBase: slack -> slack_sdk * ruff: ignore more files * ci: run on py311 PyTorch stable does not support 3.12 yet See: https://github.com/pytorch/pytorch/issues/110436 * T2RiseDeclineBase: inherit from LogicalUnit AmpelBaseModel subclasses can't set extra attributes by default. * test: init parameterized model via dict * conf: follow T3ReviewUnit churn * chore: activate warnings * ligo not our problem * ignore numpy header size warning * fixup! chore: activate warnings * T2RiseDeclineStat: squash numpy scalar conversion warning * SlackSummaryPublisher: fillna in bulk for pandas 3.0 compat * chore(deps): refresh lockfile * Bump version to 0.10.0a0 * HealpixCorrPlotter: conform to matplotlib 3.9 API * Remove vestigial ResourceDependentConsumer * Bump version to 0.10.0a1 * T2RiseDeclineBase: demote to plain class Since this will always be mixed into the inheritance chain of AmpelUnit or BaseModel, both of which harvest annotations from their bases, there's not actually a reason for this to be a BaseModel itself. * PlotTransientLightCurves: require no slack token by default * Convert stellar_outburst example to v0.10 syntax * chore(deps): advance ampel-core to 0.10.1 * chore: explciitly annotate typeddict arg * chore: cast t2 payloads to dict Ideally there would be a declared result type, such that downstream consumers can be type checked * ruff: remove empty comments * ruff: simplify * ruff: % to f-strings * ruff: simplify min calls * T2RunTDE: unnecessary staticmethod * ci: update ruff * T2ElasticcReport: bail if either z is None * ruff: format * ruff: fixup line endings * chore: hide type checking behind facade * Remove remaining casts * Ensure payload is Mapping * fix(deps): advance ampel-interface to v0.10.3a0 * fix(deps): advance ampel-interface to v0.10.3a1 * ruff: cleanup * thou shalt not print() * renovate: baseBranches * fix: use typing_extensions.TypedDict in models for python<3.12 compatibility. typing.TypedDict lacks necessary metadata before python 3.12; see https://docs.pydantic.dev/2.3/usage/types/dicts_mapping/#typeddict * CostCounter: return TypedDict * chore(deps): flip snpy back to mainline now compatible with both PEP517 _and_ scipy 1.14 * DCachePublisher: reimplement in terms of requests * TNSClient: replace aiohttp with requests good riddance, i say * chore(deps): remove ruff * chore: move t4 units to t4 directory * chore: sort unit config * chore: remove more commented-out print() * chore: Update README for 73f2591d4e6d3de8579accbe2bd0b114ebeca8a5 --- .github/workflows/main.yml | 6 +- .pre-commit-config.yaml | 3 +- README.md | 8 +- .../hu/alert/DynamicShaperAlertConsumer.py | 8 +- .../hu/alert/ResourceDependentConsumer.py | 96 - ampel/contrib/hu/t0/RcfFilter.py | 15 +- ampel/contrib/hu/t0/RedshiftCatalogFilter.py | 279 +- .../contrib/hu/t0/TransientInClusterFilter.py | 198 +- ampel/contrib/hu/t0/XShooterFilter.py | 238 +- ampel/contrib/hu/t2/T2BaseClassifier.py | 4 +- ampel/contrib/hu/t2/T2BaseLightcurveFitter.py | 5 +- ampel/contrib/hu/t2/T2BayesianBlocks.py | 27 +- ampel/contrib/hu/t2/T2BrightSNProb.py | 3 +- ampel/contrib/hu/t2/T2DigestRedshifts.py | 31 +- ampel/contrib/hu/t2/T2DustEchoEval.py | 17 +- .../hu/t2/T2ElasticcRedshiftSampler.py | 14 +- ampel/contrib/hu/t2/T2ElasticcReport.py | 23 +- ampel/contrib/hu/t2/T2GetLensSNParameters.py | 12 +- ampel/contrib/hu/t2/T2InfantCatalogEval.py | 10 +- ampel/contrib/hu/t2/T2KilonovaEval.py | 9 +- ampel/contrib/hu/t2/T2KilonovaStats.py | 13 +- ampel/contrib/hu/t2/T2LSPhotoZTap.py | 4 +- ampel/contrib/hu/t2/T2MultiXgbClassifier.py | 15 +- ampel/contrib/hu/t2/T2NedSNCosmo.py | 4 +- ampel/contrib/hu/t2/T2NedTap.py | 8 +- ampel/contrib/hu/t2/T2PS1ThumbExtCat.py | 4 +- ampel/contrib/hu/t2/T2PS1ThumbNedSNCosmo.py | 4 +- ampel/contrib/hu/t2/T2PS1ThumbNedTap.py | 4 +- ampel/contrib/hu/t2/T2PhaseLimit.py | 1 - ampel/contrib/hu/t2/T2RiseDeclineStat.py | 52 +- ampel/contrib/hu/t2/T2RunParsnip.py | 16 +- ampel/contrib/hu/t2/T2RunPossis.py | 7 +- ampel/contrib/hu/t2/T2RunSncosmo.py | 37 +- ampel/contrib/hu/t2/T2RunSnoopy.py | 16 +- ampel/contrib/hu/t2/T2RunTDE.py | 15 +- ampel/contrib/hu/t2/T2TNSEval.py | 25 +- ampel/contrib/hu/t2/T2TabulatorRiseDecline.py | 8 +- ampel/contrib/hu/t2/T2XgbClassifier.py | 22 +- ampel/contrib/hu/t2/util.py | 25 + ampel/contrib/hu/t3/AbsScoreCalculator.py | 4 +- ampel/contrib/hu/t3/AstroColibriPublisher.py | 16 +- .../contrib/hu/t3/ChannelSummaryPublisher.py | 8 +- ampel/contrib/hu/t3/CostCounter.py | 10 +- ampel/contrib/hu/t3/DCachePublisher.py | 236 +- ampel/contrib/hu/t3/ElasticcClassPublisher.py | 11 +- ampel/contrib/hu/t3/HealpixCorrPlotter.py | 6 +- ampel/contrib/hu/t3/PlotLightcurveSample.py | 7 +- .../contrib/hu/t3/PlotTransientLightcurves.py | 2 +- ampel/contrib/hu/t3/RapidBase.py | 6 +- ampel/contrib/hu/t3/RapidLco.py | 14 +- ampel/contrib/hu/t3/ScoreSingleObject.py | 6 - ampel/contrib/hu/t3/ScoreTNSObjects.py | 25 +- ampel/contrib/hu/t3/SlackSummaryPublisher.py | 63 +- ampel/contrib/hu/t3/SubmitTNS.py | 29 +- ampel/contrib/hu/t3/TNSMirrorUpdater.py | 9 +- ampel/contrib/hu/t3/TransientInfoPrinter.py | 2 +- ampel/contrib/hu/t3/TransientViewDumper.py | 4 +- ampel/contrib/hu/t3/VOEventPublisher.py | 10 +- ampel/contrib/hu/t3/tns/TNSClient.py | 207 +- ampel/contrib/hu/t3/tns/TNSMirrorDB.py | 24 +- ampel/contrib/hu/t3/tns/tns_ampel_util.py | 9 +- .../hu/{t3 => t4}/HealpixTokenGenerator.py | 42 +- .../hu/{t3 => t4}/RandomMapGenerator.py | 19 +- .../hu/{t3 => t4}/StreamTokenGenerator.py | 22 +- ampel/contrib/hu/test/test_slackpublisher.py | 3 +- ampel/contrib/hu/util/AmpelHealpix.py | 2 + ampel/contrib/hu/util/automation/get_kn.py | 2 + .../hu/util/automation/jobfileCaller.py | 2 + .../hu/util/automation/jobfileWriter.py | 2 + .../ampel-hu-astro/process/ChannelSummary.yml | 55 +- conf/ampel-hu-astro/unit.yml | 102 +- examples/stellar_outburst.yml | 209 +- poetry.lock | 6640 +++++++++-------- pyproject.toml | 43 +- renovate.json | 11 +- scripts/generate_unit_inventory.py | 3 +- 76 files changed, 4715 insertions(+), 4436 deletions(-) delete mode 100644 ampel/contrib/hu/alert/ResourceDependentConsumer.py create mode 100644 ampel/contrib/hu/t2/util.py rename ampel/contrib/hu/{t3 => t4}/HealpixTokenGenerator.py (82%) rename ampel/contrib/hu/{t3 => t4}/RandomMapGenerator.py (88%) rename ampel/contrib/hu/{t3 => t4}/StreamTokenGenerator.py (85%) diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml index 7df6ba58..0f3543c7 100644 --- a/.github/workflows/main.yml +++ b/.github/workflows/main.yml @@ -12,6 +12,7 @@ on: branches: - main - dev/* + - stable/* jobs: ci: @@ -20,6 +21,9 @@ jobs: PYPI_API_TOKEN: ${{ secrets.PYPI_API_TOKEN }} with: mongo: true - python-version: "3.10" + # renovate: datasource=python-version depName=python versioning=python + python-version: "3.11" + # renovate: datasource=pypi depName=ruff versioning=pep440 + ruff-version: "0.7.4" lint: true format: true diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 08f40657..69967d15 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -3,7 +3,8 @@ repos: - repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.1.14 + # renovate: datasource=pypi depName=ruff versioning=pep440 + rev: v0.7.4 hooks: - id: ruff args: [--fix] diff --git a/README.md b/README.md index 46f57c98..f7073aed 100644 --- a/README.md +++ b/README.md @@ -81,19 +81,21 @@ requires an access token if data is to be retrieved. - [CostCounter](ampel/contrib/hu/t3/CostCounter.py): Derive metrics for the total cost, as parsed by the provided documents. - [ElasticcClassPublisher](ampel/contrib/hu/t3/ElasticcClassPublisher.py): This unit is intended to submit classifications to the DESC TOM db during the ELAsTICC LSST alert simulation. - [HealpixCorrPlotter](ampel/contrib/hu/t3/HealpixCorrPlotter.py): Compare healpix coordinate P-value with output from T2RunSncosmo.. -- [HealpixTokenGenerator](ampel/contrib/hu/t3/HealpixTokenGenerator.py): Based on a URL to a Healpix map. - [PlotLightcurveSample](ampel/contrib/hu/t3/PlotLightcurveSample.py): Unit plots results from lightcurve fitters (RunSncosmo, RunParsnip). - [PlotTransientLightcurves](ampel/contrib/hu/t3/PlotTransientLightcurves.py): Create a (pdf) plot summarizing lightcurves of candidates provided to the unit. -- [RandomMapGenerator](ampel/contrib/hu/t3/RandomMapGenerator.py): Generate smoothed circular healpix probability values around a random coordinate.. - [RapidBase](ampel/contrib/hu/t3/RapidBase.py): Trigger rapid reactions. - [RapidLco](ampel/contrib/hu/t3/RapidLco.py): Submit LCO triggers for candidates passing criteria.. - [RapidSedm](ampel/contrib/hu/t3/RapidSedm.py): Select transients for rapid reactions. - [ScoreSingleObject](ampel/contrib/hu/t3/ScoreSingleObject.py): Calculate score based on how early a specific SN is detected. - [ScoreTNSObjects](ampel/contrib/hu/t3/ScoreTNSObjects.py): Calculate score based on detection time reported to TNS, if any.. - [SlackSummaryPublisher](ampel/contrib/hu/t3/SlackSummaryPublisher.py) -- [StreamTokenGenerator](ampel/contrib/hu/t3/StreamTokenGenerator.py): Stream based token generator for. - [SubmitTNS](ampel/contrib/hu/t3/SubmitTNS.py): Submit candidates to TNS (unless already submitted). - [TransientInfoPrinter](ampel/contrib/hu/t3/TransientInfoPrinter.py) - [TransientTablePublisher](ampel/contrib/hu/t3/TransientTablePublisher.py): Construct a table based on selected T2 output values. - [TransientViewDumper](ampel/contrib/hu/t3/TransientViewDumper.py) - [VOEventPublisher](ampel/contrib/hu/t3/VOEventPublisher.py): Unit for creating a VOEvent pased on T2output and transient LightCurve. + +### T4 units (control): +- [HealpixTokenGenerator](ampel/contrib/hu/t4/HealpixTokenGenerator.py): Based on a URL to a Healpix map. +- [RandomMapGenerator](ampel/contrib/hu/t4/RandomMapGenerator.py): Generate smoothed circular healpix probability values around a random coordinate.. +- [StreamTokenGenerator](ampel/contrib/hu/t4/StreamTokenGenerator.py): Stream based token generator for. diff --git a/ampel/contrib/hu/alert/DynamicShaperAlertConsumer.py b/ampel/contrib/hu/alert/DynamicShaperAlertConsumer.py index dcca2c16..3fe745e0 100644 --- a/ampel/contrib/hu/alert/DynamicShaperAlertConsumer.py +++ b/ampel/contrib/hu/alert/DynamicShaperAlertConsumer.py @@ -9,6 +9,7 @@ from ampel.alert.AlertConsumer import AlertConsumer +from ampel.core.EventHandler import EventHandler from ampel.ingest.ChainedIngestionHandler import ChainedIngestionHandler from ampel.log import AmpelLogger from ampel.model.ingest.CompilerOptions import CompilerOptions @@ -46,7 +47,10 @@ class DynamicShaperAlertConsumer(AlertConsumer): # Overload def get_ingestion_handler( - self, run_id: int, updates_buffer: DBUpdatesBuffer, logger: AmpelLogger + self, + event_hdlr: EventHandler, + updates_buffer: DBUpdatesBuffer, + logger: AmpelLogger, ) -> ChainedIngestionHandler: # Update shaper # print('config first', self.shaper) @@ -71,7 +75,7 @@ def get_ingestion_handler( shaper, self.directives, updates_buffer, - run_id, + event_hdlr.get_run_id(), tier=0, logger=logger, database=self.database, diff --git a/ampel/contrib/hu/alert/ResourceDependentConsumer.py b/ampel/contrib/hu/alert/ResourceDependentConsumer.py deleted file mode 100644 index 73aee8d2..00000000 --- a/ampel/contrib/hu/alert/ResourceDependentConsumer.py +++ /dev/null @@ -1,96 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -# File : Ampel-HU-astro/ampel/alert/ResourceDependentConsumer.py -# License : BSD-3-Clause -# Author : jno -# Date : 28.03.2023 -# Last Modified Date: 28.03.2023 -# Last Modified By : jno - -import json -import re - -from ampel.alert.AlertConsumer import AlertConsumer -from ampel.ingest.ChainedIngestionHandler import ChainedIngestionHandler -from ampel.log import AmpelLogger -from ampel.model.ingest.CompilerOptions import CompilerOptions -from ampel.model.ingest.IngestDirective import IngestDirective -from ampel.mongo.update.DBUpdatesBuffer import DBUpdatesBuffer - - -class DynamicShaperConsumer(AlertConsumer): - """ - - Extension of standard AlertConsumer where the configuration of the shaper can be updated based - (dynamic) resources available to the EventHandler. - - Use case is when a config parameter is created dynamically in the process of running the job - and should be added to the alert information stored into the db - Since updated values are present during configuration building, these will still be part of the - provenance/hash sequence. - - :param directives_map: - - For each key of directives_map with a value which exists in the resources, - which corresponds to a resource entry, any occurance of the value - in the directies will be replaced with the resource value. - - - Ok, new take on this. Instead of changing the directives (which are already hashed and set), we wish to - add a new datapoint to represent the map. To do so we minimally have to change the ZiDataPointShaper since - this only accepts ztf like datapoints (detections or upper limits). We here wish to have a datapoint which is - shared by all stocks (if possible). So maybe this is where all changes should go? - - The shaper is initaialized by the ChainedIngestionHandler, so should be fine to change config here. - Steps: - 1. Create version of ZiDataPointShaper which adds GW datapoint. - 2. Change name of this class to something shaper related, then change logic below to instead create - appropriate config based on the resources. - - """ - - directives_map: dict[str, str] - - # Overload - def get_ingestion_handler( - self, run_id: int, updates_buffer: DBUpdatesBuffer, logger: AmpelLogger - ) -> ChainedIngestionHandler: - # Replacement pattern for provided resources - pattern = re.compile( - "|".join( - [ - k - for k, v in self.directives_map.items() - if v in self.alert_supplier.resources - ] - ) - ) - print("pattern", pattern) - print("directives pre", self.directives) - directives = [ - IngestDirective( - **json.loads( - pattern.sub( - lambda m: self.alert_supplier.resources[ - self.directives_map[m.group(0)] - ].value, - json.dumps(el.dict()), - ) - ) - ) - for el in self.directives - ] - print("directives post", directives) - - return ChainedIngestionHandler( - self.context, - self.shaper, - directives, - updates_buffer, - run_id, - tier=0, - logger=logger, - database=self.database, - trace_id={"alertconsumer": self._trace_id}, - compiler_opts=self.compiler_opts or CompilerOptions(), - ) diff --git a/ampel/contrib/hu/t0/RcfFilter.py b/ampel/contrib/hu/t0/RcfFilter.py index 8beb55f7..ab6ced7e 100755 --- a/ampel/contrib/hu/t0/RcfFilter.py +++ b/ampel/contrib/hu/t0/RcfFilter.py @@ -23,7 +23,9 @@ class RcfFilter(AbsAlertFilter): min_ndet: int = 1 #: number of previous detections min_dist_to_sso: float #: distance to nearest solar system object [arcsec] - min_gal_lat: float #: minium distance from galactic plane. set to negative to disable cut. + min_gal_lat: ( + float #: minium distance from galactic plane. set to negative to disable cut. + ) min_age: float #: Age as calculated based on previous PP in alert max_ipac_age: float #: Age as calculated based on alert keywords max_magpsf: float @@ -340,7 +342,7 @@ def is_variable_star( ): return True - if ( + if ( # noqa: SIM103 age > 90 and alert["distnr"] > 0 # shouldn't this be distnr? was distnbr and alert["distnr"] < 0.5 @@ -400,10 +402,8 @@ def process(self, alert: AmpelAlertProtocol) -> None | bool | int: or al["isdiffpos"] == "0" ): continue - if al["jd"] < jd_first_pps: - jd_first_pps = al["jd"] - if al["magpsf"] < m_peak: - m_peak = al["magpsf"] + jd_first_pps = min(al["jd"], jd_first_pps) + m_peak = min(al["magpsf"], m_peak) if al["magpsf"] < self.max_magpsf: bright_detections += 1 @@ -426,8 +426,7 @@ def process(self, alert: AmpelAlertProtocol) -> None | bool | int: return codes.max_ipac_age except KeyError: self.logger.debug( - "%s No jd end or start alert keywords. Letting through." - % (alert.id) + f"{alert.id} No jd end or start alert keywords. Letting through." ) # SEARCH POINT SOURCE UNDERNEATH diff --git a/ampel/contrib/hu/t0/RedshiftCatalogFilter.py b/ampel/contrib/hu/t0/RedshiftCatalogFilter.py index 2e3256bb..afd79ba1 100644 --- a/ampel/contrib/hu/t0/RedshiftCatalogFilter.py +++ b/ampel/contrib/hu/t0/RedshiftCatalogFilter.py @@ -1,139 +1,140 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -# File: Ampel-HU_astro/ampel/contrib/hu/t0/RedshiftCatalogFilter.py -# License: BSD-3-Clause -# Author: Jakob Nordin -# Date: 02.11.2022 -# Last Modified Date: 02.11.2022 -# Last Modified By: jnordin - -from functools import partial -from typing import Literal - -from ampel.protocol.AmpelAlertProtocol import AmpelAlertProtocol -from ampel.ztf.t0.DecentFilter import DecentFilter - - -class RedshiftCatalogFilter(DecentFilter): - """ - Filter derived from DecentFilter designed to only accept transients - located close to a galaxy in a catalog, and within redshift bounds. - - Default parameters focused on matching with nearby catalogs. - Current generation of filter uses a copy of the NED galaxy archive - to z 0.02x (0.03?), downloaded ~2020. - - If any match within the radius is found, the candidate will be stat_accepted - (even if it, for example, is not the closest match). - - Many DecentFilter parameters are set as defaults, including turning - off matching to Gaia for stars (it is assumed that the catalog matching - is sufficient for rejection). - - Notes: Much catalog match functions, including combining multiple catalogs - already exist in CatalogMatchFilter. Here we wished to also make use of - DecentFilter setup, hence the partial code repetition. - Similarly, extcat filters could use the post_filter option for immediate - filtering, but it is not sure how general this can be made. - """ - - # Catalog matching parameters - catalog_name: str = "NEDz_extcats" - catalog_type: Literal["extcats", "catsHTM"] = "extcats" - catalog_match_radius: float = 60.0 # Match radius in arcsec - catalog_zkey: str = "z" # Should match redshift key in catalog - min_z: float = 0.002 # Some stars found in e.g. NED. - max_z: float = 0.03 # Max redshift (after catalog match) - # Remaining decent filter parameters - max_tspan: float # maximum duration of alert detection history [days] - max_archive_tspan: float # maximum duration of alert detection history [days] - min_drb: float = 0.0 # deep learning real bogus score - min_rb: float # real bogus score - - # DecentFilter default parameter overrides to match this purpose - # Tuned based on 2021 infant SN search comparison (contact J Nordin) - min_ndet: int = 0 # number of previous detections - min_tspan: float = -666.0 # minimum duration of alert detection history [days] - min_archive_tspan: float = ( - -666.0 - ) # minimum duration of alert detection history [days] - max_fwhm: float = 4.5 # sexctrator FWHM (assume Gaussian) [pix] - max_elong: float = 1.4 # Axis ratio of image: aimage / bimage - max_magdiff: float = 1 # Difference: magap - magpsf [mag] - max_nbad: int = 0 # number of bad pixels in a 5 x 5 pixel stamp - min_sso_dist: float = 20.0 # distance to nearest solar system object [arcsec] - min_gal_lat: float = ( - 14.0 # minium distance from galactic plane. Set to negative to disable cut. - ) - ps1_sgveto_rad: float = ( - 2.0 # maximum distance to closest PS1 source for SG score veto [arcsec] - ) - ps1_sgveto_th: float = ( - 0.8 # maximum allowed SG score for PS1 source within PS1_SGVETO_RAD - ) - ps1_confusion_rad: float = 3.0 # reject alerts if the three PS1 sources are all within this radius [arcsec] - ps1_confusion_sg_tol: float = 0.1 # and if the SG score of all of these 3 sources is within this tolerance to 0.5 - # Gaia matching is here turned off, standard match radius is 20. - gaia_rs: float = -999.0 # search radius for GAIA DR2 matching [arcsec] - gaia_pm_signif: float = ( - 3.0 # significance of proper motion detection of GAIA counterpart [sigma] - ) - gaia_plx_signif: float = ( - 3.0 # significance of parallax detection of GAIA counterpart [sigma] - ) - gaia_veto_gmag_min: float = ( - 9.0 # min gmag for normalized distance cut of GAIA counterparts [mag] - ) - gaia_veto_gmag_max: float = ( - 20.0 # max gmag for normalized distance cut of GAIA counterparts [mag] - ) - gaia_excessnoise_sig_max: float = 999.0 # maximum allowed noise (expressed as significance) for Gaia match to be trusted. - - def __init__(self, *args, **kwargs): - super().__init__(*args, **kwargs) - - query = { - "name": self.catalog_name, - "use": self.catalog_type, - "rs_arcsec": self.catalog_match_radius, - "keys_to_append": [self.catalog_zkey], - } - # For exctcats, directly add the z filter - if self.catalog_type == "extcats": - query["post_filter"] = { - self.catalog_zkey: {"$gte": self.min_z, "$lte": self.max_z} - } - - self.catalog_query = partial(self.cone_search_all, catalogs=[query]) - - def process(self, alert: AmpelAlertProtocol): - """ - Run the filter on the alert. First we run the decent filter, then we match - with the infant catalog. - """ - - # First make default DefentFilter check - if not (decent_result := super().process(alert)): - return decent_result - - # if the candidate has passed the decent filter, check if it is compatible - # with the position of some nearby galaxy cluster - latest = alert.datapoints[0] - alert_ra = latest["ra"] - alert_dec = latest["dec"] - - # Check for catalog matches . - catalog_matches = self.catalog_query(alert_ra, alert_dec)[0] - if catalog_matches is None: - return None - - # For all catalog matches, check redshift range - matched = None - for catmatch in catalog_matches: - # CatalogItem object - if matched := ( - self.min_z <= catmatch["body"][self.catalog_zkey] <= self.max_z - ): - break - - return matched +#!/usr/bin/env python +# -*- coding: utf-8 -*- +# File: Ampel-HU_astro/ampel/contrib/hu/t0/RedshiftCatalogFilter.py +# License: BSD-3-Clause +# Author: Jakob Nordin +# Date: 02.11.2022 +# Last Modified Date: 02.11.2022 +# Last Modified By: jnordin + +from functools import partial +from typing import Literal + +from ampel.protocol.AmpelAlertProtocol import AmpelAlertProtocol +from ampel.ztf.base.CatalogMatchUnit import ConeSearchRequest +from ampel.ztf.t0.DecentFilter import DecentFilter + + +class RedshiftCatalogFilter(DecentFilter): + """ + Filter derived from DecentFilter designed to only accept transients + located close to a galaxy in a catalog, and within redshift bounds. + + Default parameters focused on matching with nearby catalogs. + Current generation of filter uses a copy of the NED galaxy archive + to z 0.02x (0.03?), downloaded ~2020. + + If any match within the radius is found, the candidate will be stat_accepted + (even if it, for example, is not the closest match). + + Many DecentFilter parameters are set as defaults, including turning + off matching to Gaia for stars (it is assumed that the catalog matching + is sufficient for rejection). + + Notes: Much catalog match functions, including combining multiple catalogs + already exist in CatalogMatchFilter. Here we wished to also make use of + DecentFilter setup, hence the partial code repetition. + Similarly, extcat filters could use the post_filter option for immediate + filtering, but it is not sure how general this can be made. + """ + + # Catalog matching parameters + catalog_name: str = "NEDz_extcats" + catalog_type: Literal["extcats", "catsHTM"] = "extcats" + catalog_match_radius: float = 60.0 # Match radius in arcsec + catalog_zkey: str = "z" # Should match redshift key in catalog + min_z: float = 0.002 # Some stars found in e.g. NED. + max_z: float = 0.03 # Max redshift (after catalog match) + # Remaining decent filter parameters + max_tspan: float # maximum duration of alert detection history [days] + max_archive_tspan: float # maximum duration of alert detection history [days] + min_drb: float = 0.0 # deep learning real bogus score + min_rb: float # real bogus score + + # DecentFilter default parameter overrides to match this purpose + # Tuned based on 2021 infant SN search comparison (contact J Nordin) + min_ndet: int = 0 # number of previous detections + min_tspan: float = -666.0 # minimum duration of alert detection history [days] + min_archive_tspan: float = ( + -666.0 + ) # minimum duration of alert detection history [days] + max_fwhm: float = 4.5 # sexctrator FWHM (assume Gaussian) [pix] + max_elong: float = 1.4 # Axis ratio of image: aimage / bimage + max_magdiff: float = 1 # Difference: magap - magpsf [mag] + max_nbad: int = 0 # number of bad pixels in a 5 x 5 pixel stamp + min_sso_dist: float = 20.0 # distance to nearest solar system object [arcsec] + min_gal_lat: float = ( + 14.0 # minium distance from galactic plane. Set to negative to disable cut. + ) + ps1_sgveto_rad: float = ( + 2.0 # maximum distance to closest PS1 source for SG score veto [arcsec] + ) + ps1_sgveto_th: float = ( + 0.8 # maximum allowed SG score for PS1 source within PS1_SGVETO_RAD + ) + ps1_confusion_rad: float = 3.0 # reject alerts if the three PS1 sources are all within this radius [arcsec] + ps1_confusion_sg_tol: float = 0.1 # and if the SG score of all of these 3 sources is within this tolerance to 0.5 + # Gaia matching is here turned off, standard match radius is 20. + gaia_rs: float = -999.0 # search radius for GAIA DR2 matching [arcsec] + gaia_pm_signif: float = ( + 3.0 # significance of proper motion detection of GAIA counterpart [sigma] + ) + gaia_plx_signif: float = ( + 3.0 # significance of parallax detection of GAIA counterpart [sigma] + ) + gaia_veto_gmag_min: float = ( + 9.0 # min gmag for normalized distance cut of GAIA counterparts [mag] + ) + gaia_veto_gmag_max: float = ( + 20.0 # max gmag for normalized distance cut of GAIA counterparts [mag] + ) + gaia_excessnoise_sig_max: float = 999.0 # maximum allowed noise (expressed as significance) for Gaia match to be trusted. + + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + + query: ConeSearchRequest = { + "name": self.catalog_name, + "use": self.catalog_type, + "rs_arcsec": self.catalog_match_radius, + "keys_to_append": [self.catalog_zkey], + } + # For exctcats, directly add the z filter + if self.catalog_type == "extcats": + query["post_filter"] = { + self.catalog_zkey: {"$gte": self.min_z, "$lte": self.max_z} + } + + self.catalog_query = partial(self.cone_search_all, catalogs=[query]) + + def process(self, alert: AmpelAlertProtocol): + """ + Run the filter on the alert. First we run the decent filter, then we match + with the infant catalog. + """ + + # First make default DefentFilter check + if not (decent_result := super().process(alert)): + return decent_result + + # if the candidate has passed the decent filter, check if it is compatible + # with the position of some nearby galaxy cluster + latest = alert.datapoints[0] + alert_ra = latest["ra"] + alert_dec = latest["dec"] + + # Check for catalog matches . + catalog_matches = self.catalog_query(alert_ra, alert_dec)[0] + if catalog_matches is None: + return None + + # For all catalog matches, check redshift range + matched = None + for catmatch in catalog_matches: + # CatalogItem object + if matched := ( + self.min_z <= catmatch["body"][self.catalog_zkey] <= self.max_z + ): + break + + return matched diff --git a/ampel/contrib/hu/t0/TransientInClusterFilter.py b/ampel/contrib/hu/t0/TransientInClusterFilter.py index 425ac3a8..c3f8dd6f 100755 --- a/ampel/contrib/hu/t0/TransientInClusterFilter.py +++ b/ampel/contrib/hu/t0/TransientInClusterFilter.py @@ -1,98 +1,100 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -# File: Ampel-contrib-HU/ampel/contrib/hu/t0/TransientInClusterFilter.py -# License: BSD-3-Clause -# Author: m. giomi -# Date: 28.08.2018 -# Last Modified Date: 24.11.2021 -# Last Modified By: Jakob van Santen - -from functools import partial - -import numpy as np - -from ampel.protocol.AmpelAlertProtocol import AmpelAlertProtocol -from ampel.ztf.t0.DecentFilter import DecentFilter - - -class TransientInClusterFilter(DecentFilter): - """ - Filter derived from the DecentFilter, in addition selecting candidates - with position compatible with that of nearby galaxy clusters. - """ - - big_search_radius_arcmin: float # conservative search radius around cluster position. Max in RASSEBCS is 16.a arcmin - cluserter_rad_multiplier: float # if we want to enlarge the search region around each cluster. - - def __init__(self, *args, **kwargs): - super().__init__(*args, **kwargs) - - # feedback - for k in self.__annotations__: - self.logger.info(f"Using {k}={getattr(self, k)}") - - self.rassebcs_query = partial( - self.cone_search_all, - catalogs=[ - { - "name": "RASSEBCS", - "use": "extcats", - "rs_arcsec": self.big_search_radius_arcmin - * 60 - * self.cluserter_rad_multiplier, - "keys_to_append": ["ANGULAR_RADIUS"], - } - ], - ) - - def process(self, alert: AmpelAlertProtocol): - """ - run the filter on the alert. First we run the decent filter, then we match - with the cluster catalog. - """ - - # if the candidate has passed the decent filter, check if it is compatible - # with the position of some nearby galaxy cluster - latest = alert.datapoints[0] - alert_ra = latest["ra"] - alert_dec = latest["dec"] - - # A) find position of all the nearby clusters. If none is found, reject alert. - nearby_clusters = self.rassebcs_query(alert_ra, alert_dec)[0] - - if nearby_clusters is None: - self.logger.debug( - f"rejected: no cluster from RASSEBCS within {self.big_search_radius_arcmin*60:.2f} arcsec from alert position" - ) - return None - - # B) for all the nearby clusters, compute their distances to the alert - # (extcats works in arcsec but ANGULAR_RADIUS is in arcmin) - clust_dists_2_alert = ( - np.array([d["dist_arcsec"] for d in nearby_clusters]) / 60.0 - ) - clust_radius = np.array([d["body"]["ANGULAR_RADIUS"] for d in nearby_clusters]) - - # C) if, for any of the nearby clusters, the distance to the alert is smaller - # than the cluster size, count this as a match - if not any(clust_radius > clust_dists_2_alert): - self.logger.debug( - "rejected: distance to alert is larger than the cluster size for all the nearby clusters" - ) - - for ii in range(len(nearby_clusters)): - self.logger.debug( - f"Angular radius: {clust_radius[ii]:.2f}, " - f"distance to alert: {clust_dists_2_alert[ii]:.2f} (both arcmin)" - ) - - return None - - for ii in range(len(nearby_clusters)): - self.logger.debug( - f"Angular radius: {clust_radius[ii]:.2f}, " - f"distance to alert: {clust_dists_2_alert[ii]:.2f} (both arcmin)" - ) - - # now run the decent filter (faster to do it afterwards ;-) - return super().process(alert) +#!/usr/bin/env python +# -*- coding: utf-8 -*- +# File: Ampel-contrib-HU/ampel/contrib/hu/t0/TransientInClusterFilter.py +# License: BSD-3-Clause +# Author: m. giomi +# Date: 28.08.2018 +# Last Modified Date: 24.11.2021 +# Last Modified By: Jakob van Santen + +from functools import partial + +import numpy as np + +from ampel.protocol.AmpelAlertProtocol import AmpelAlertProtocol +from ampel.ztf.t0.DecentFilter import DecentFilter + + +class TransientInClusterFilter(DecentFilter): + """ + Filter derived from the DecentFilter, in addition selecting candidates + with position compatible with that of nearby galaxy clusters. + """ + + big_search_radius_arcmin: float # conservative search radius around cluster position. Max in RASSEBCS is 16.a arcmin + cluserter_rad_multiplier: ( + float # if we want to enlarge the search region around each cluster. + ) + + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + + # feedback + for k in self.__annotations__: + self.logger.info(f"Using {k}={getattr(self, k)}") + + self.rassebcs_query = partial( + self.cone_search_all, + catalogs=[ + { + "name": "RASSEBCS", + "use": "extcats", + "rs_arcsec": self.big_search_radius_arcmin + * 60 + * self.cluserter_rad_multiplier, + "keys_to_append": ["ANGULAR_RADIUS"], + } + ], + ) + + def process(self, alert: AmpelAlertProtocol): + """ + run the filter on the alert. First we run the decent filter, then we match + with the cluster catalog. + """ + + # if the candidate has passed the decent filter, check if it is compatible + # with the position of some nearby galaxy cluster + latest = alert.datapoints[0] + alert_ra = latest["ra"] + alert_dec = latest["dec"] + + # A) find position of all the nearby clusters. If none is found, reject alert. + nearby_clusters = self.rassebcs_query(alert_ra, alert_dec)[0] + + if nearby_clusters is None: + self.logger.debug( + f"rejected: no cluster from RASSEBCS within {self.big_search_radius_arcmin*60:.2f} arcsec from alert position" + ) + return None + + # B) for all the nearby clusters, compute their distances to the alert + # (extcats works in arcsec but ANGULAR_RADIUS is in arcmin) + clust_dists_2_alert = ( + np.array([d["dist_arcsec"] for d in nearby_clusters]) / 60.0 + ) + clust_radius = np.array([d["body"]["ANGULAR_RADIUS"] for d in nearby_clusters]) + + # C) if, for any of the nearby clusters, the distance to the alert is smaller + # than the cluster size, count this as a match + if not any(clust_radius > clust_dists_2_alert): + self.logger.debug( + "rejected: distance to alert is larger than the cluster size for all the nearby clusters" + ) + + for ii in range(len(nearby_clusters)): + self.logger.debug( + f"Angular radius: {clust_radius[ii]:.2f}, " + f"distance to alert: {clust_dists_2_alert[ii]:.2f} (both arcmin)" + ) + + return None + + for ii in range(len(nearby_clusters)): + self.logger.debug( + f"Angular radius: {clust_radius[ii]:.2f}, " + f"distance to alert: {clust_dists_2_alert[ii]:.2f} (both arcmin)" + ) + + # now run the decent filter (faster to do it afterwards ;-) + return super().process(alert) diff --git a/ampel/contrib/hu/t0/XShooterFilter.py b/ampel/contrib/hu/t0/XShooterFilter.py index c89a3799..db3427f1 100755 --- a/ampel/contrib/hu/t0/XShooterFilter.py +++ b/ampel/contrib/hu/t0/XShooterFilter.py @@ -1,117 +1,121 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -# File: Ampel-contrib-HU/ampel/contrib/hu/t0/XShooterFilter.py -# License: BSD-3-Clause -# Author: m. giomi -# Date: 28.08.2018 -# Last Modified Date: 24.11.2021 -# Last Modified By: jnordin - -from numpy import array - -from ampel.protocol.AmpelAlertProtocol import AmpelAlertProtocol -from ampel.ztf.t0.DecentFilter import DecentFilter - - -class XShooterFilter(DecentFilter): - """ - Filter derived from the DecentFilter, in addition selecting very new - transients which are visible from the South. In particular, the transient - are accepted if they are detected during the last 6h, at least one non-detection - during the last 5 days (and no detection during this time). - """ - - max_dec: float # maximum allowed value for the declination - det_within: float # the transient must have been detected within the last 'DET_WITHIN' days - ul_within: float # the transient must AT LEAST one ulim within the last 'UL_WITHIN' days - # Updated parameters based on infant detections spring 2021. Defaults conservative - max_chipsf: float = 4 # Best guess value 2 - max_seeratio: float = 2 # Best guess value 1.3 - min_sumrat: float = 0.6 # Best guess value 0.8 - - def post_init(self): - super().post_init() - # self.keys_to_check += ("jd",) - # Is none not working, now doing this manually - # self.select_upper_limits = [{'attribute': 'magpsf', 'operator': 'is', 'value': None}] - self.select_photopoints = [ - {"attribute": "magpsf", "operator": "is not", "value": None} - ] - - # Override - def process(self, alert: AmpelAlertProtocol) -> None | bool | int: - """ - run the decent filter on the alert - """ - - # cut on declination - latest = alert.datapoints[0] - if latest["dec"] > self.max_dec: - self.logger.debug( - f"Rejected: declination {latest['dec']:.2f} deg is " - f"above maximum allowed of {self.max_dec:.2f} deg" - ) - return None - - # CUT ON LATEST SUBTRACTION QUALITY - ################################# - - if latest["chipsf"] > self.max_chipsf: - self.logger.debug( - f"Rejected: chipsf {latest['chipsf']:.2f} " - f"above maximum allowed of {self.max_chipsf:.2f}" - ) - return None - if latest["seeratio"] > self.max_seeratio: - self.logger.debug( - f"Rejected: seeratio {latest['seeratio']:.2f} " - f"above maximum allowed of {self.max_seeratio:.2f}" - ) - return None - if latest["sumrat"] < self.min_sumrat: - self.logger.debug( - f"Rejected: sumrat {latest['sumrat']:.2f} " - f"below min allowed of {self.min_sumrat:.2f}" - ) - return None - - # CUT ON THE HISTORY OF THE ALERT - ################################# - - now_jd = latest["jd"] - self.logger.debug(f"Setting 'now' to JD {now_jd:.4f} to cut on alert history") - - # check on history 1: detected in the last 6h - detection_jds = array(alert.get_values("jd", filters=self.select_photopoints)) - recent_detections = detection_jds > (now_jd - self.det_within) - if not any(recent_detections): - self.logger.debug( - f"Rejected: no detection within the last {self.det_within:.3f} days " - f"(latest one {(now_jd - max(detection_jds)):.3f} days ago)" - ) - return None - - # check on the history 2: at least one upper limit in the last 5 days - # old version to look for upper limits not working... - ulim_jds = [el["jd"] for el in alert.datapoints if el.get("candid") is None] - if ulim_jds is None: - self.logger.debug("Rejected: this alert has no upper limits") - return None - - if not any(array(ulim_jds) > (now_jd - self.ul_within)): - self.logger.debug( - f"Rejected: no upper limit in the last {self.ul_within:.3f} days" - ) - return None - - # check on history 3: no detection within the last 5 days - not_so_recent_detections = detection_jds[~recent_detections] - if any(not_so_recent_detections > (now_jd - self.ul_within)): - self.logger.debug( - f"Rejected: at least one detection within the last {self.ul_within:.3f} days " - f"(but not within {self.det_within:.3f} days)." - ) - return None - - # now apply the DecentFilter - return super().process(alert) +#!/usr/bin/env python +# -*- coding: utf-8 -*- +# File: Ampel-contrib-HU/ampel/contrib/hu/t0/XShooterFilter.py +# License: BSD-3-Clause +# Author: m. giomi +# Date: 28.08.2018 +# Last Modified Date: 24.11.2021 +# Last Modified By: jnordin + +from numpy import array + +from ampel.protocol.AmpelAlertProtocol import AmpelAlertProtocol +from ampel.ztf.t0.DecentFilter import DecentFilter + + +class XShooterFilter(DecentFilter): + """ + Filter derived from the DecentFilter, in addition selecting very new + transients which are visible from the South. In particular, the transient + are accepted if they are detected during the last 6h, at least one non-detection + during the last 5 days (and no detection during this time). + """ + + max_dec: float # maximum allowed value for the declination + det_within: ( + float # the transient must have been detected within the last 'DET_WITHIN' days + ) + ul_within: ( + float # the transient must AT LEAST one ulim within the last 'UL_WITHIN' days + ) + # Updated parameters based on infant detections spring 2021. Defaults conservative + max_chipsf: float = 4 # Best guess value 2 + max_seeratio: float = 2 # Best guess value 1.3 + min_sumrat: float = 0.6 # Best guess value 0.8 + + def post_init(self): + super().post_init() + # self.keys_to_check += ("jd",) + # Is none not working, now doing this manually + # self.select_upper_limits = [{'attribute': 'magpsf', 'operator': 'is', 'value': None}] + self.select_photopoints = [ + {"attribute": "magpsf", "operator": "is not", "value": None} + ] + + # Override + def process(self, alert: AmpelAlertProtocol) -> None | bool | int: + """ + run the decent filter on the alert + """ + + # cut on declination + latest = alert.datapoints[0] + if latest["dec"] > self.max_dec: + self.logger.debug( + f"Rejected: declination {latest['dec']:.2f} deg is " + f"above maximum allowed of {self.max_dec:.2f} deg" + ) + return None + + # CUT ON LATEST SUBTRACTION QUALITY + ################################# + + if latest["chipsf"] > self.max_chipsf: + self.logger.debug( + f"Rejected: chipsf {latest['chipsf']:.2f} " + f"above maximum allowed of {self.max_chipsf:.2f}" + ) + return None + if latest["seeratio"] > self.max_seeratio: + self.logger.debug( + f"Rejected: seeratio {latest['seeratio']:.2f} " + f"above maximum allowed of {self.max_seeratio:.2f}" + ) + return None + if latest["sumrat"] < self.min_sumrat: + self.logger.debug( + f"Rejected: sumrat {latest['sumrat']:.2f} " + f"below min allowed of {self.min_sumrat:.2f}" + ) + return None + + # CUT ON THE HISTORY OF THE ALERT + ################################# + + now_jd = latest["jd"] + self.logger.debug(f"Setting 'now' to JD {now_jd:.4f} to cut on alert history") + + # check on history 1: detected in the last 6h + detection_jds = array(alert.get_values("jd", filters=self.select_photopoints)) + recent_detections = detection_jds > (now_jd - self.det_within) + if not any(recent_detections): + self.logger.debug( + f"Rejected: no detection within the last {self.det_within:.3f} days " + f"(latest one {(now_jd - max(detection_jds)):.3f} days ago)" + ) + return None + + # check on the history 2: at least one upper limit in the last 5 days + # old version to look for upper limits not working... + ulim_jds = [el["jd"] for el in alert.datapoints if el.get("candid") is None] + if ulim_jds is None: + self.logger.debug("Rejected: this alert has no upper limits") + return None + + if not any(array(ulim_jds) > (now_jd - self.ul_within)): + self.logger.debug( + f"Rejected: no upper limit in the last {self.ul_within:.3f} days" + ) + return None + + # check on history 3: no detection within the last 5 days + not_so_recent_detections = detection_jds[~recent_detections] + if any(not_so_recent_detections > (now_jd - self.ul_within)): + self.logger.debug( + f"Rejected: at least one detection within the last {self.ul_within:.3f} days " + f"(but not within {self.det_within:.3f} days)." + ) + return None + + # now apply the DecentFilter + return super().process(alert) diff --git a/ampel/contrib/hu/t2/T2BaseClassifier.py b/ampel/contrib/hu/t2/T2BaseClassifier.py index 573699ce..b9b53513 100644 --- a/ampel/contrib/hu/t2/T2BaseClassifier.py +++ b/ampel/contrib/hu/t2/T2BaseClassifier.py @@ -9,7 +9,7 @@ import gc import os -from typing import Any, TypedDict +from typing import Any import joblib import lcdata @@ -19,6 +19,7 @@ # Parsnip models - avoid importing these if running in the light mode? import parsnip from scipy.stats import chi2 +from typing_extensions import TypedDict from ampel.base.AmpelBaseModel import AmpelBaseModel from ampel.model.UnitModel import UnitModel @@ -211,7 +212,6 @@ class BaseClassifier(AmpelBaseModel): # Save / plot parameters parsnipplot_suffix: None | str = None parsnipplot_dir: None | str = None - # add_parsnip_from: None | str = None # Include features and ML results in t2_record diff --git a/ampel/contrib/hu/t2/T2BaseLightcurveFitter.py b/ampel/contrib/hu/t2/T2BaseLightcurveFitter.py index 39912945..128d793b 100644 --- a/ampel/contrib/hu/t2/T2BaseLightcurveFitter.py +++ b/ampel/contrib/hu/t2/T2BaseLightcurveFitter.py @@ -21,6 +21,7 @@ from ampel.content.DataPoint import DataPoint from ampel.content.T1Document import T1Document from ampel.contrib.hu.t2.T2DigestRedshifts import T2DigestRedshifts +from ampel.contrib.hu.t2.util import get_payload from ampel.struct.UnitResult import UnitResult from ampel.types import UBson @@ -89,9 +90,7 @@ def _get_phaselimit(self, t2_views) -> tuple[None | float, None | float]: if t2_view.unit != "T2PhaseLimit": continue self.logger.debug(f"Parsing t2 results from {t2_view.unit}") - t2_res = ( - res[-1] if isinstance(res := t2_view.get_payload(), list) else res - ) + t2_res = get_payload(t2_view) jdstart = t2_res["t_start"] jdend = t2_res["t_end"] diff --git a/ampel/contrib/hu/t2/T2BayesianBlocks.py b/ampel/contrib/hu/t2/T2BayesianBlocks.py index 015f3d4c..bdb27e44 100644 --- a/ampel/contrib/hu/t2/T2BayesianBlocks.py +++ b/ampel/contrib/hu/t2/T2BayesianBlocks.py @@ -66,7 +66,6 @@ class T2BayesianBlocks(AbsLightCurveT2Unit): # Work with fluxes instead of magnitude flux: bool = False - # plot_props: None | PlotProperties # Color of filters for the plots @@ -455,9 +454,7 @@ def process(self, light_curve: LightCurve) -> UBson | UnitResult: self.ztfid = ZTFNoisifiedIdMapper.to_ext_id(light_curve.stock_id) if self.debug: - print("---------------------------") - print(f"Processing {self.ztfid}") - print("---------------------------") + self.logger.info(f"Processing {self.ztfid}") self.PlotColor = ["green", "red", "orange"] for entry in self.filters: @@ -970,13 +967,13 @@ def process(self, light_curve: LightCurve) -> UBson | UnitResult: ) ) ) - output[ - "significance_of_fluctuation" - ] = significance_of_fluctuation_before_peak + output["significance_of_fluctuation"] = ( + significance_of_fluctuation_before_peak + ) - output[ - "significance_of_fluctuation" - ] = significance_of_fluctuation_after_peak + output["significance_of_fluctuation"] = ( + significance_of_fluctuation_after_peak + ) # Calculate the significance of each bayesian block, inside the excess region of the highest intensity if ( @@ -1372,15 +1369,15 @@ def process(self, light_curve: LightCurve) -> UBson | UnitResult: if self.debug and self.data_type in ["ztf_alert", "ztf_fp", "ztf_fp_noisy"]: for fil in self.filters_lc: - print(f"{fil}\n") - print( + self.logger.info(f"{fil}\n") + self.logger.info( f"# excess regions: {output_per_filter[fil]['nu_of_excess_regions']}" ) - print( + self.logger.info( f"# excess blocks: {output_per_filter[fil]['nu_of_excess_blocks']}" ) - print("--------") - print( + self.logger.info("--------") + self.logger.info( f"coincident regions between g and r: {output_per_filter['coincide_peak_block']!s}" ) diff --git a/ampel/contrib/hu/t2/T2BrightSNProb.py b/ampel/contrib/hu/t2/T2BrightSNProb.py index 5d28cca8..7963b278 100755 --- a/ampel/contrib/hu/t2/T2BrightSNProb.py +++ b/ampel/contrib/hu/t2/T2BrightSNProb.py @@ -7,9 +7,8 @@ # Last Modified Date: 03.08.2020 # Last Modified By: Jakob van Santen -from typing import TypedDict - import numpy as np +from typing_extensions import TypedDict from ampel.abstract.AbsLightCurveT2Unit import AbsLightCurveT2Unit from ampel.contrib.hu.t2 import xgb_trees diff --git a/ampel/contrib/hu/t2/T2DigestRedshifts.py b/ampel/contrib/hu/t2/T2DigestRedshifts.py index 5385cda5..ee20442c 100644 --- a/ampel/contrib/hu/t2/T2DigestRedshifts.py +++ b/ampel/contrib/hu/t2/T2DigestRedshifts.py @@ -7,17 +7,15 @@ # Last Modified Date: 19.10.2022 # Last Modified By: atownsend@physik.hu-berlin.de -from collections.abc import Sequence +from collections.abc import Mapping, Sequence from typing import Any, Literal import numpy as np -# from ampel.abstract.AbsTiedLightCurveT2Unit import AbsTiedLightCurveT2Unit from ampel.abstract.AbsTiedStateT2Unit import AbsTiedStateT2Unit from ampel.content.DataPoint import DataPoint - -# from ampel.view.LightCurve import LightCurve from ampel.content.T1Document import T1Document +from ampel.contrib.hu.t2.util import get_payload from ampel.enum.DocumentCode import DocumentCode from ampel.model.StateT2Dependency import StateT2Dependency from ampel.struct.UnitResult import UnitResult @@ -65,9 +63,12 @@ class T2DigestRedshifts(AbsTiedStateT2Unit): # AmpelZ: equal to T2DigestRedshifts # T2ElasticcRedshiftSampler: Use a list of redshifts and weights from the sampler. # None : Use the fixed z value - redshift_kind: None | Literal[ - "T2MatchBTS", "T2DigestRedshifts", "T2ElasticcRedshiftSampler", "AmpelZ" - ] = None + redshift_kind: ( + None + | Literal[ + "T2MatchBTS", "T2DigestRedshifts", "T2ElasticcRedshiftSampler", "AmpelZ" + ] + ) = None # It is also possible to use fixed redshift whenever a dynamic redshift kind is not possible # This could be either a single value or a list @@ -87,7 +88,7 @@ class T2DigestRedshifts(AbsTiedStateT2Unit): ] def _get_lsphotoz_groupz( - self, t2_res: dict[str, Any] + self, t2_res: Mapping[str, Any] ) -> tuple[list[list[float]], list[list[float]]]: """ Parse output from T2LSPhotoZTap and investigate whether any matches fulfill group @@ -155,7 +156,7 @@ def _get_lsphotoz_groupz( return group_z, group_dist def _get_catalogmatch_groupz( - self, t2_res: dict[str, Any] + self, t2_res: Mapping[str, Any] ) -> tuple[list[list[float]], list[list[float]]]: """ Parse output from T2CatalogMatch. @@ -314,7 +315,7 @@ def _get_catalogmatch_groupz( return group_z, group_dist - def _get_matchbts_groupz(self, t2_res: dict[str, Any]) -> list[list[float]]: + def _get_matchbts_groupz(self, t2_res: Mapping[str, Any]) -> list[list[float]]: """ Parse output from T2MatchBTS. @@ -341,7 +342,7 @@ def _get_matchbts_groupz(self, t2_res: dict[str, Any]) -> list[list[float]]: else: group_z[1].append(z) - self.logger.debug(" bts match yield %s" % (group_z)) + self.logger.debug(f" bts match yield {group_z}") return group_z @@ -364,9 +365,7 @@ def get_ampelZ(self, t2_views: Sequence[T2DocView]) -> UBson | UnitResult: # Loop through t2_views and collect information. for t2_view in t2_views: self.logger.debug(f"Parsing t2 results from {t2_view.unit}") - t2_res = res[-1] if isinstance(res := t2_view.get_payload(), list) else res - # v0.8: - # t2_res = t2_view.get_data() + t2_res = get_payload(t2_view) if t2_view.unit == "T2LSPhotoZTap": new_zs, new_dists = self._get_lsphotoz_groupz(t2_res) @@ -445,9 +444,7 @@ def get_redshift( if t2_view.unit != self.redshift_kind: continue self.logger.debug(f"Parsing t2 results from {t2_view.unit}") - t2_res = ( - res[-1] if isinstance(res := t2_view.get_payload(), list) else res - ) + t2_res = get_payload(t2_view) # Parse this if self.redshift_kind == "T2MatchBTS": if ( diff --git a/ampel/contrib/hu/t2/T2DustEchoEval.py b/ampel/contrib/hu/t2/T2DustEchoEval.py index 875d0b70..f88d01bb 100644 --- a/ampel/contrib/hu/t2/T2DustEchoEval.py +++ b/ampel/contrib/hu/t2/T2DustEchoEval.py @@ -17,6 +17,7 @@ from uncertainties import unumpy # type: ignore from ampel.abstract.AbsTiedLightCurveT2Unit import AbsTiedLightCurveT2Unit +from ampel.contrib.hu.t2.util import get_payload from ampel.contrib.hu.util.flatten import flatten from ampel.enum.DocumentCode import DocumentCode from ampel.model.StateT2Dependency import StateT2Dependency @@ -108,9 +109,7 @@ def process( self.filters_lc = self.filters if t2_view.unit == "T2BayesianBlocks": self.logger.debug(f"Parsing t2 results from {t2_view.unit}") - t2_res = ( - res[-1] if isinstance(res := t2_view.get_payload(), list) else res - ) + t2_res = get_payload(t2_view) for key in self.filters: if key not in t2_res or t2_res.get(key) is None: @@ -459,22 +458,22 @@ def process( ): if maybe_interesting is False: if any(value == "nan" for value in excess_region["e_rise"]): - t2_output["status"] = "3" # + t2_output["status"] = "3" else: t2_output["status"] = "1" elif any(value == "nan" for value in excess_region["e_rise"]): - t2_output["status"] = "3_maybe_interesting" # + t2_output["status"] = "3_maybe_interesting" else: t2_output["status"] = "1_maybe_interesting" elif maybe_interesting is False: if any(value == "nan" for value in excess_region["e_rise"]): - t2_output["status"] = "4" # + t2_output["status"] = "4" else: - t2_output["status"] = "2" # + t2_output["status"] = "2" elif any(value == "nan" for value in excess_region["e_rise"]): - t2_output["status"] = "4_maybe_interesting" # + t2_output["status"] = "4_maybe_interesting" else: - t2_output["status"] = "2_maybe_interesting" # + t2_output["status"] = "2_maybe_interesting" else: t2_output["status"] = "No further investigation" t2_output["values"] = excess_region diff --git a/ampel/contrib/hu/t2/T2ElasticcRedshiftSampler.py b/ampel/contrib/hu/t2/T2ElasticcRedshiftSampler.py index fafb5056..3fe9e402 100644 --- a/ampel/contrib/hu/t2/T2ElasticcRedshiftSampler.py +++ b/ampel/contrib/hu/t2/T2ElasticcRedshiftSampler.py @@ -7,14 +7,12 @@ # Last Modified Date: 12.04.2022 # Last Modified By : jnordin@physik.hu-berlin.de -from typing import TypedDict, cast +from typing import TypedDict import numpy as np from ampel.abstract.AbsPointT2Unit import AbsPointT2Unit from ampel.content.DataPoint import DataPoint -from ampel.struct.UnitResult import UnitResult -from ampel.types import UBson class QuantileEntry(TypedDict): @@ -180,7 +178,7 @@ def get_hostprob(self, hostinfo: dict) -> tuple[float, float, float]: # ==================== # # AMPEL T2 MANDATORY # # ==================== # - def process(self, datapoint: DataPoint) -> UBson | UnitResult: + def process(self, datapoint: DataPoint) -> RedshiftSamples: """ Parses the provided datapoint for information regarding @@ -263,7 +261,7 @@ def process(self, datapoint: DataPoint) -> UBson | UnitResult: "z_samples": [z + p * dz for p in pulls], } - return cast(UBson, t2_output) + return t2_output # Extract values from photo-z quantiles # (assuming these always exist) @@ -302,15 +300,13 @@ def process(self, datapoint: DataPoint) -> UBson | UnitResult: ) # -9 seems to be null t2_output["z_weights"].append(weight) - return cast(UBson, t2_output) + return t2_output # Only left with output dict for defult/hostless SNe - t2_output = { + return { "z_source": "default", "host_sep": np.nan, "galaxy_color": None, "z_samples": self.default_zs, "z_weights": self.default_weights, } - - return cast(UBson, t2_output) diff --git a/ampel/contrib/hu/t2/T2ElasticcReport.py b/ampel/contrib/hu/t2/T2ElasticcReport.py index 703fc421..d4f5fe05 100644 --- a/ampel/contrib/hu/t2/T2ElasticcReport.py +++ b/ampel/contrib/hu/t2/T2ElasticcReport.py @@ -15,6 +15,7 @@ from ampel.abstract.AbsTiedStateT2Unit import AbsTiedStateT2Unit from ampel.content.DataPoint import DataPoint from ampel.content.T1Document import T1Document +from ampel.contrib.hu.t2.util import get_payload from ampel.model.StateT2Dependency import StateT2Dependency from ampel.struct.UnitResult import UnitResult from ampel.types import UBson @@ -748,15 +749,11 @@ def get_hostcol(self, dia_object: dict, z: float): Extract the most relevant u-g color, if present. """ - z1 = dia_object.get("hostgal_zphot_q050", None) - z2 = dia_object.get("hostgal2_zphot_q050", None) + z1 = dia_object.get("hostgal_zphot_q050") + z2 = dia_object.get("hostgal2_zphot_q050") # No z information - if z1 is None and z2 is None: - return None - - # Can this happen? if z1 is None or z2 is None: - print(dia_object) + return None # Which "mid"fix, '' or '2'? midfix = "" @@ -829,9 +826,7 @@ def process( self.logger.debug(f"Parsing t2 results from {t2_view.unit}") # Xgb results either from multiple instances of T2XgbClassifier... if t2_view.unit == "T2XgbClassifier": - t2_res = ( - res[-1] if isinstance(res := t2_view.get_payload(), list) else res - ) + t2_res = get_payload(t2_view) if "prob0" in t2_res: if t2_res["model"] == self.tree_1v2: is1 = t2_res["prob0"] @@ -844,9 +839,7 @@ def process( direct_eval = t2_res.get("direct_eval", None) # ... or all from T2MultiXgbClassifier elif t2_view.unit == "T2MultiXgbClassifier": - t2_res = ( - res[-1] if isinstance(res := t2_view.get_payload(), list) else res - ) + t2_res = get_payload(t2_view) if t2_res["model"] == "multiXgb": is1 = t2_res["classifications"][self.tree_1v2]["prob0"] is21 = t2_res["classifications"][self.tree_21v22]["prob0"] @@ -854,9 +847,7 @@ def process( elif t2_res["model"] == "directEval": direct_eval = t2_res.get("direct_eval", None) elif t2_view.unit == "T2RunParsnip": - t2_res = ( - res[-1] if isinstance(res := t2_view.get_payload(), list) else res - ) + t2_res = get_payload(t2_view) if "classification" in t2_res: parsnip_class = { diff --git a/ampel/contrib/hu/t2/T2GetLensSNParameters.py b/ampel/contrib/hu/t2/T2GetLensSNParameters.py index a28aad7d..b5862db5 100644 --- a/ampel/contrib/hu/t2/T2GetLensSNParameters.py +++ b/ampel/contrib/hu/t2/T2GetLensSNParameters.py @@ -59,9 +59,9 @@ def take_closest(myList, myNumber): band_table["time"], t0 - 7 ) # find closest time to t0-7 days in each band if (t0 - 7 - self.unc) <= time_minus7 <= (t0 - 7 + self.unc): - band_table["epoch"][ - np.where(band_table["time"] == time_minus7) - ] = "minus7" + band_table["epoch"][np.where(band_table["time"] == time_minus7)] = ( + "minus7" + ) for row in band_table[ np.where(band_table["time"] == time_minus7) ]: # iterate over temporary table that is a subset of data @@ -79,9 +79,9 @@ def take_closest(myList, myNumber): band_table["time"], t0 + 7 ) # find closest time to t0+7 days in each band if (t0 + 7 - self.unc) <= time_plus7 <= (t0 + 7 + self.unc): - band_table["epoch"][ - np.where(band_table["time"] == time_plus7) - ] = "plus7" + band_table["epoch"][np.where(band_table["time"] == time_plus7)] = ( + "plus7" + ) for row in band_table[ np.where(band_table["time"] == time_plus7) ]: # iterate over temporary table that is a subset of data diff --git a/ampel/contrib/hu/t2/T2InfantCatalogEval.py b/ampel/contrib/hu/t2/T2InfantCatalogEval.py index d49085ad..8c038325 100644 --- a/ampel/contrib/hu/t2/T2InfantCatalogEval.py +++ b/ampel/contrib/hu/t2/T2InfantCatalogEval.py @@ -7,7 +7,7 @@ # Last Modified Date: 17.03.2021 # Last Modified By: jnordin@physik.hu-berlin.de -from collections.abc import Sequence +from collections.abc import Mapping, Sequence from typing import Any import numpy as np @@ -15,6 +15,7 @@ from astropy.cosmology import Planck15 from ampel.abstract.AbsTiedLightCurveT2Unit import AbsTiedLightCurveT2Unit +from ampel.contrib.hu.t2.util import get_payload from ampel.struct.UnitResult import UnitResult from ampel.types import UBson from ampel.view.LightCurve import LightCurve @@ -100,7 +101,7 @@ class T2InfantCatalogEval(AbsTiedLightCurveT2Unit): {"attribute": "magfromlim", "operator": ">", "value": 0}, ] - def inspect_catalog(self, cat_res: dict[str, Any]) -> None | dict[str, Any]: + def inspect_catalog(self, cat_res: Mapping[str, Any]) -> None | dict[str, Any]: """ Check whether a redshift match can be found in matched catalogs. """ @@ -390,8 +391,9 @@ def process( # we here only take the first without specific origin t2_cat_match = t2_views[0] - catalog_result = t2_cat_match.get_payload() - if not isinstance(catalog_result, dict): + try: + catalog_result = get_payload(t2_cat_match) + except ValueError: return {"action": False, "eval": "No catalog match result"} transient_info = self.inspect_catalog(catalog_result) diff --git a/ampel/contrib/hu/t2/T2KilonovaEval.py b/ampel/contrib/hu/t2/T2KilonovaEval.py index c91570bc..2a88b1d8 100644 --- a/ampel/contrib/hu/t2/T2KilonovaEval.py +++ b/ampel/contrib/hu/t2/T2KilonovaEval.py @@ -15,6 +15,7 @@ from astropy.cosmology import Planck15 from ampel.abstract.AbsTiedLightCurveT2Unit import AbsTiedLightCurveT2Unit +from ampel.contrib.hu.t2.util import get_payload from ampel.model.StateT2Dependency import StateT2Dependency from ampel.struct.UnitResult import UnitResult from ampel.types import UBson @@ -82,7 +83,7 @@ class T2KilonovaEval(AbsTiedLightCurveT2Unit): ideal_absmag: float = -15.5 # from gw170817 absmag_range_rewards: list = [(0.5, 5), (2, 2), (4, 1)] min_absmag: float = -20 # AB magnitude -16 +- 4 DOI 10.3847/1538-4357/ac8e60 - max_absmag: float = -12 # + max_absmag: float = -12 min_obsmag: float = 19 # Arxive: aa40689 max_obsmag: float = 21 min_ndet: int = 1 @@ -721,9 +722,7 @@ def inspect_distance( possible_modes = ["reward", "punish", "pass"] if self.distance_mode not in possible_modes: - raise ValueError( - "results: distance mode must be one of %r." % possible_modes - ) + raise ValueError(f"results: distance mode must be one of {possible_modes}.") # reward/punish distance math depending on mode match self.distance_mode: @@ -837,7 +836,7 @@ def process( # Check t2 ouputs for t2_view in t2_views: self.logger.debug(f"Parsing t2 results from {t2_view.unit}") - t2_res = res[-1] if isinstance(res := t2_view.get_payload(), list) else res + t2_res = get_payload(t2_view) # Redshift if t2_view.unit == "T2DigestRedshifts": diff --git a/ampel/contrib/hu/t2/T2KilonovaStats.py b/ampel/contrib/hu/t2/T2KilonovaStats.py index 79611576..a8d868c1 100644 --- a/ampel/contrib/hu/t2/T2KilonovaStats.py +++ b/ampel/contrib/hu/t2/T2KilonovaStats.py @@ -9,7 +9,7 @@ import json import os -from collections.abc import Sequence +from collections.abc import Mapping, Sequence from typing import Any, Literal import numpy as np @@ -19,6 +19,7 @@ from ampel.abstract.AbsTiedStateT2Unit import AbsTiedStateT2Unit from ampel.content.DataPoint import DataPoint from ampel.content.T1Document import T1Document +from ampel.contrib.hu.t2.util import get_payload from ampel.model.StateT2Dependency import StateT2Dependency from ampel.struct.UnitResult import UnitResult from ampel.types import UBson @@ -97,7 +98,9 @@ def get_kn_densitiy_stats(self, kilonovaness, map_area, map_dist=np.inf): if files: file = files[0] else: - print("T2KilonovaStats: No density file found for ", map_key, " Mpc.") + self.logger.error( + f"T2KilonovaStats: No density file found for {map_key} Mpc." + ) return {} dist_range = file[: file.find("_")] @@ -126,7 +129,9 @@ def get_kn_total_stats(self, kilonovaness, map_area, map_dist=np.inf, ndet=np.in res["gaus_percent"] = gaus_stats return res - def kilonovaness_statistics(self, t2res: dict[str, Any]) -> None | dict[str, Any]: + def kilonovaness_statistics( + self, t2res: Mapping[str, Any] + ) -> None | dict[str, Any]: return self.get_kn_total_stats( kilonovaness=t2res["kilonovaness"], map_area=t2res["map_area"], @@ -141,7 +146,7 @@ def process( ) -> UBson | UnitResult: for t2_view in t2_views: self.logger.debug(f"Parsing t2 results from {t2_view.unit}") - t2_res = res[-1] if isinstance(res := t2_view.get_payload(), list) else res + t2_res = get_payload(t2_view) if t2_view.unit == "T2KilonovaEval": return self.kilonovaness_statistics(t2_res) diff --git a/ampel/contrib/hu/t2/T2LSPhotoZTap.py b/ampel/contrib/hu/t2/T2LSPhotoZTap.py index 7eabbf2e..492f0689 100644 --- a/ampel/contrib/hu/t2/T2LSPhotoZTap.py +++ b/ampel/contrib/hu/t2/T2LSPhotoZTap.py @@ -144,7 +144,7 @@ def convert(inp, outfmt="pandas", verbose=False, **kwargs): output = output.decode() if verbose: - print("Returning %s" % mapping[outfmt][1]) + print(f"Returning {mapping[outfmt][1]}") # noqa: T201 return output @@ -227,7 +227,7 @@ def _astrolab_query( # First convert to string and then to dict ret_dict = convert(str(r.content.decode()), "pandas").to_dict(orient="records") - self.logger.debug("Got %s matches" % (len(ret_dict))) + self.logger.debug(f"Got {len(ret_dict)} matches") return ret_dict diff --git a/ampel/contrib/hu/t2/T2MultiXgbClassifier.py b/ampel/contrib/hu/t2/T2MultiXgbClassifier.py index 6d1def9f..12aa17e8 100644 --- a/ampel/contrib/hu/t2/T2MultiXgbClassifier.py +++ b/ampel/contrib/hu/t2/T2MultiXgbClassifier.py @@ -9,7 +9,7 @@ import os from collections.abc import Sequence -from typing import Literal +from typing import Any, Literal import numpy as np import xgboost as xgb @@ -22,6 +22,7 @@ FitFailed, T2TabulatorRiseDeclineBase, ) +from ampel.contrib.hu.t2.util import get_payload from ampel.enum.DocumentCode import DocumentCode from ampel.model.StateT2Dependency import StateT2Dependency from ampel.struct.UnitResult import UnitResult @@ -168,20 +169,16 @@ def process( dict """ - t2data = {} + t2data: dict[str, Any] = {} # Parse t2views - should not be more than one. for t2_view in t2_views: self.logger.debug(f"Parsing t2 results from {t2_view.unit}") # So far only knows how to parse phases from T2TabulatorRiseDecline if t2_view.unit == "T2TabulatorRiseDecline": - t2_res = ( - res[-1] if isinstance(res := t2_view.get_payload(), list) else res - ) + t2_res = get_payload(t2_view) t2data.update(t2_res) if t2_view.unit == "T2ElasticcRedshiftSampler": - t2_res = ( - res[-1] if isinstance(res := t2_view.get_payload(), list) else res - ) + t2_res = get_payload(t2_view) # For some reason we trained xgb using z, zerr and host_sep zdata = {"z": None, "z_err": None, "host_sep": None} if t2_res["z_source"] in [ @@ -203,7 +200,7 @@ def process( pass else: self.logger.info( - "Do not know how to handle z info", extra=t2_res + "Do not know how to handle z info", extra=dict(t2_res) ) return {"model": None, "xgbsuccess": False} t2data.update(zdata) diff --git a/ampel/contrib/hu/t2/T2NedSNCosmo.py b/ampel/contrib/hu/t2/T2NedSNCosmo.py index c6d9a786..e81917ed 100755 --- a/ampel/contrib/hu/t2/T2NedSNCosmo.py +++ b/ampel/contrib/hu/t2/T2NedSNCosmo.py @@ -7,7 +7,7 @@ # Last Modified Date: 10.10.2021 # Last Modified By: valery brinnel -from collections.abc import Sequence +from collections.abc import Mapping, Sequence from typing import Any, Literal from ampel.abstract.AbsTiedLightCurveT2Unit import AbsTiedLightCurveT2Unit @@ -94,7 +94,7 @@ def process( # type: ignore[override] self.logger.error("Tied catalog match t2 record has no content") return UnitResult(code=DocumentCode.T2_MISSING_INFO) - if not isinstance(ned_tap_res, dict) or "data" not in ned_tap_res: + if not isinstance(ned_tap_res, Mapping) or "data" not in ned_tap_res: return UnitResult( code=DocumentCode.T2_MISSING_INFO, body={"msg": "Invalid/incompatible tied T2NedTap result"}, diff --git a/ampel/contrib/hu/t2/T2NedTap.py b/ampel/contrib/hu/t2/T2NedTap.py index 44db18a7..7671bdb2 100755 --- a/ampel/contrib/hu/t2/T2NedTap.py +++ b/ampel/contrib/hu/t2/T2NedTap.py @@ -183,11 +183,7 @@ def _load_mongo_export(self, fpath, match) -> None | dict: return None def is_spec(self, d: dict) -> bool: - if d.get("n_spectra", 0) > 0 or d["zflag"] == "SPEC": - return True - return False + return d.get("n_spectra", 0) > 0 or d["zflag"] == "SPEC" def is_unsafe_spec(self, d: dict) -> bool: - if d["zflag"] is None and d.get("zunc", 0) < 0.0001 and len(str(d["z"])) > 9: - return True - return False + return d["zflag"] is None and d.get("zunc", 0) < 0.0001 and len(str(d["z"])) > 9 diff --git a/ampel/contrib/hu/t2/T2PS1ThumbExtCat.py b/ampel/contrib/hu/t2/T2PS1ThumbExtCat.py index 49c45a96..18a6be41 100755 --- a/ampel/contrib/hu/t2/T2PS1ThumbExtCat.py +++ b/ampel/contrib/hu/t2/T2PS1ThumbExtCat.py @@ -7,7 +7,7 @@ # Last Modified Date: 14.09.2021 # Last Modified By: valery brinnel -from collections.abc import Sequence +from collections.abc import Mapping, Sequence from typing import Literal from ampel.abstract.AbsTiedPointT2Unit import AbsTiedPointT2Unit @@ -58,7 +58,7 @@ def process( return UnitResult(code=DocumentCode.T2_UNEXPECTED_DEPENDENCY) cat_results = t2_views[0].get_payload() - if not isinstance(cat_results, dict): + if not isinstance(cat_results, Mapping): return UnitResult(code=DocumentCode.T2_UNEXPECTED_DEPENDENCY) if "data" not in cat_results: diff --git a/ampel/contrib/hu/t2/T2PS1ThumbNedSNCosmo.py b/ampel/contrib/hu/t2/T2PS1ThumbNedSNCosmo.py index 64d8d659..ae128040 100755 --- a/ampel/contrib/hu/t2/T2PS1ThumbNedSNCosmo.py +++ b/ampel/contrib/hu/t2/T2PS1ThumbNedSNCosmo.py @@ -7,7 +7,7 @@ # Last Modified Date: 14.10.2021 # Last Modified By: valery brinnel -from collections.abc import Sequence +from collections.abc import Mapping, Sequence from typing import Literal from ampel.abstract.AbsTiedLightCurveT2Unit import AbsTiedLightCurveT2Unit @@ -72,7 +72,7 @@ def process( return UnitResult(code=DocumentCode.T2_UNEXPECTED_DEPENDENCY) snc_result = t2_views[0].get_payload() - if not isinstance(snc_result, dict): + if not isinstance(snc_result, Mapping): return UnitResult(code=DocumentCode.T2_UNEXPECTED_DEPENDENCY) if "data" not in snc_result: diff --git a/ampel/contrib/hu/t2/T2PS1ThumbNedTap.py b/ampel/contrib/hu/t2/T2PS1ThumbNedTap.py index 3cf98ebc..d2a7e982 100755 --- a/ampel/contrib/hu/t2/T2PS1ThumbNedTap.py +++ b/ampel/contrib/hu/t2/T2PS1ThumbNedTap.py @@ -7,7 +7,7 @@ # Last Modified Date: 14.09.2021 # Last Modified By: valery brinnel -from collections.abc import Sequence +from collections.abc import Mapping, Sequence from typing import Literal from ampel.abstract.AbsTiedPointT2Unit import AbsTiedPointT2Unit @@ -70,7 +70,7 @@ def process( return UnitResult(code=DocumentCode.T2_UNEXPECTED_DEPENDENCY) cat_results = t2_views[0].get_payload() - if not isinstance(cat_results, dict): + if not isinstance(cat_results, Mapping): return UnitResult(code=DocumentCode.T2_UNEXPECTED_DEPENDENCY) if "data" not in cat_results: diff --git a/ampel/contrib/hu/t2/T2PhaseLimit.py b/ampel/contrib/hu/t2/T2PhaseLimit.py index 19c5ec4d..ae2c5c9f 100644 --- a/ampel/contrib/hu/t2/T2PhaseLimit.py +++ b/ampel/contrib/hu/t2/T2PhaseLimit.py @@ -141,7 +141,6 @@ def process( flux_table = self.get_flux_table(datapoints) - # fflux_table = flux_table[ (flux_table["flux"] < self.max_flux) & (flux_table["flux"] < 1e10) diff --git a/ampel/contrib/hu/t2/T2RiseDeclineStat.py b/ampel/contrib/hu/t2/T2RiseDeclineStat.py index 72605306..7a927d17 100755 --- a/ampel/contrib/hu/t2/T2RiseDeclineStat.py +++ b/ampel/contrib/hu/t2/T2RiseDeclineStat.py @@ -7,20 +7,19 @@ # Last Modified Date: 03.08.2020 # Last Modified By: Jakob van Santen -from typing import TYPE_CHECKING, Any +from typing import Any import numpy as np from astropy.table import Table from ampel.abstract.AbsLightCurveT2Unit import AbsLightCurveT2Unit -from ampel.base.AmpelBaseModel import AmpelBaseModel -from ampel.protocol.LoggerProtocol import LoggerProtocol +from ampel.base.LogicalUnit import LogicalUnit from ampel.struct.UnitResult import UnitResult from ampel.types import UBson from ampel.view.LightCurve import LightCurve -class T2RiseDeclineBase(AmpelBaseModel): +class T2RiseDeclineBase(LogicalUnit): """ Derive a number of simple metrics describing the rise, peak and decline of a lc. @@ -78,9 +77,6 @@ class T2RiseDeclineBase(AmpelBaseModel): {"attribute": "isdiffpos", "operator": "!=", "value": "0"}, ] - if TYPE_CHECKING: - logger: LoggerProtocol - # For some reason we have duplicate photopoints. Why!!! # Through setting this we manually just keep the first of each occurance # Check ZTF18aacbccj,ZTF17aaaekyn for example. Has something to do whether a detection @@ -117,9 +113,7 @@ def compute_stats(self, light_curve: LightCurve) -> dict[str, Any]: unique_jd, counts = np.unique(dets["jd"], return_counts=True) double_jd = list(unique_jd[(counts > 1)]) if len(double_jd) != 0: - self.logger.info( - "Cuting duplicate jd photopoints at %s" % (double_jd) - ) + self.logger.info(f"Cuting duplicate jd photopoints at {double_jd}") for jd in double_jd: bDoubleJD = dets["jd"] == jd MaxRb = dets["rb"][bDoubleJD].max() @@ -129,8 +123,7 @@ def compute_stats(self, light_curve: LightCurve) -> dict[str, Any]: dets.remove_rows(iCut) except ValueError: - print("debug") - print(pps) + self.logger.warn(f"{pps=}") dets = Table(rows=pps, names=("jd", "filter", "magpsf", "sigmapsf")) # First set of properties to derive @@ -139,15 +132,14 @@ def compute_stats(self, light_curve: LightCurve) -> dict[str, Any]: o["ndet"] = dets["jd"].size try: - o["mag_det"] = float(dets["magpsf"][dets["jd"] == o["jd_det"]]) - except TypeError: - print("debug") - print(dets) - print(o["jd_det"]) - print(dets["jd"] == o["jd_det"]) - o["mag_det"] = float(dets["magpsf"][dets["jd"] == o["jd_det"]]) - - o["mag_last"] = float(dets["magpsf"][dets["jd"] == o["jd_last"]]) + o["mag_det"] = float(dets["magpsf"][dets["jd"] == o["jd_det"]][0]) + except TypeError as e: + self.logger.error( + f'{dets=} {o["jd_det"]=} {dets["jd"] == o["jd_det"]=}', exc_info=e + ) + o["mag_det"] = float(dets["magpsf"][dets["jd"] == o["jd_det"]][0]) + + o["mag_last"] = float(dets["magpsf"][dets["jd"] == o["jd_last"]][0]) o["t_lc"] = o["jd_last"] - o["jd_det"] # Check if (d)real bogus present for any of these + host values @@ -202,15 +194,15 @@ def compute_stats(self, light_curve: LightCurve) -> dict[str, Any]: min_mag_jd = float(dets["jd"][dets["magpsf"] == min_mag][-1]) min_mag_err = float(dets["sigmapsf"][dets["magpsf"] == min_mag][-1]) try: - last_mag_err = float(dets["sigmapsf"][dets["jd"] == o["jd_last"]]) - except TypeError: - print("last mag err") - print(dets) - print(o) - print(dets["magpsf"] == o["mag_last"]) - last_mag_err = float(dets["sigmapsf"][dets["magpsf"] == o["mag_last"]]) - - det_mag_err = float(dets["sigmapsf"][dets["jd"] == o["jd_det"]]) + last_mag_err = float(dets["sigmapsf"][dets["jd"] == o["jd_last"]][0]) + except TypeError as e: + self.logger.error( + f'last mag err {dets=} {o=} {dets["magpsf"] == o["mag_last"]=}', + exc_info=e, + ) + last_mag_err = float(dets["sigmapsf"][dets["magpsf"] == o["mag_last"]][0]) + + det_mag_err = float(dets["sigmapsf"][dets["jd"] == o["jd_det"]][0]) if (o["jd_last"] - min_mag_jd) < self.max_tsep: self.logger.info( "Latest detection too close to peak light to calculate peak stats" diff --git a/ampel/contrib/hu/t2/T2RunParsnip.py b/ampel/contrib/hu/t2/T2RunParsnip.py index 31e2b6c6..12b00e9f 100644 --- a/ampel/contrib/hu/t2/T2RunParsnip.py +++ b/ampel/contrib/hu/t2/T2RunParsnip.py @@ -11,7 +11,7 @@ import os import warnings from collections.abc import Sequence -from typing import Literal +from typing import Any, Literal import backoff import matplotlib.pyplot as plt @@ -26,6 +26,7 @@ from ampel.abstract.AbsTiedStateT2Unit import AbsTiedStateT2Unit from ampel.content.DataPoint import DataPoint from ampel.content.T1Document import T1Document +from ampel.contrib.hu.t2.util import get_payload from ampel.model.StateT2Dependency import StateT2Dependency from ampel.struct.UnitResult import UnitResult from ampel.types import UBson @@ -186,9 +187,7 @@ def _get_redshift( if t2_view.unit != self.redshift_kind: continue self.logger.debug(f"Parsing t2 results from {t2_view.unit}") - t2_res = ( - res[-1] if isinstance(res := t2_view.get_payload(), list) else res - ) + t2_res = get_payload(t2_view) # Parse this if self.redshift_kind == "T2MatchBTS": if "bts_redshift" in t2_res and t2_res["bts_redshift"] != "-": @@ -235,12 +234,13 @@ def _get_abort(self, t2_views) -> tuple[bool, dict]: # Not looking for any return (False, {}) - abort, abort_maps = False, {} + abort = False + abort_maps: dict[str, Any] = {} for t2_view in t2_views: if t2_view.unit not in self.abort_map: continue self.logger.debug(f"Parsing t2 results from {t2_view.unit}") - t2_res = res[-1] if isinstance(res := t2_view.get_payload(), list) else res + t2_res = get_payload(t2_view) abort_maps.update(t2_res) for abort_map in self.abort_map[t2_view.unit]: @@ -268,9 +268,7 @@ def _get_phaselimit(self, t2_views) -> tuple[None | float, None | float]: if t2_view.unit != "T2PhaseLimit": continue self.logger.debug(f"Parsing t2 results from {t2_view.unit}") - t2_res = ( - res[-1] if isinstance(res := t2_view.get_payload(), list) else res - ) + t2_res = get_payload(t2_view) jdstart = t2_res["t_start"] jdend = t2_res["t_end"] diff --git a/ampel/contrib/hu/t2/T2RunPossis.py b/ampel/contrib/hu/t2/T2RunPossis.py index 175caded..d9775a15 100644 --- a/ampel/contrib/hu/t2/T2RunPossis.py +++ b/ampel/contrib/hu/t2/T2RunPossis.py @@ -21,6 +21,7 @@ from ampel.content.DataPoint import DataPoint from ampel.content.T1Document import T1Document from ampel.contrib.hu.t2.T2RunSncosmo import T2RunSncosmo +from ampel.contrib.hu.t2.util import get_payload from ampel.enum.DocumentCode import DocumentCode from ampel.model.StateT2Dependency import StateT2Dependency from ampel.struct.UnitResult import UnitResult @@ -254,11 +255,7 @@ def process( if t2_view.unit not in ["T2PropagateStockInfo", "T2HealpixProb"]: continue self.logger.debug(f"Parsing t2 results from {t2_view.unit}") - t2_res = ( - res[-1] - if isinstance(res := t2_view.get_payload(), list) - else res - ) + t2_res = get_payload(t2_view) if "trigger_time" not in t2_res: self.logger.info("No explosion time", extra={"t2res": t2_res}) return UnitResult(code=DocumentCode.T2_MISSING_INFO) diff --git a/ampel/contrib/hu/t2/T2RunSncosmo.py b/ampel/contrib/hu/t2/T2RunSncosmo.py index 60305ee0..ab448cf9 100644 --- a/ampel/contrib/hu/t2/T2RunSncosmo.py +++ b/ampel/contrib/hu/t2/T2RunSncosmo.py @@ -24,6 +24,7 @@ from ampel.abstract.AbsTiedStateT2Unit import AbsTiedStateT2Unit from ampel.content.DataPoint import DataPoint from ampel.content.T1Document import T1Document +from ampel.contrib.hu.t2.util import get_payload from ampel.model.PlotProperties import PlotProperties from ampel.model.StateT2Dependency import StateT2Dependency from ampel.plot.create import create_plot_record @@ -118,12 +119,11 @@ class T2RunSncosmo(AbsTiedStateT2Unit, AbsTabulatedT2Unit): # Plot parameters plot_db: bool = False - # Plot properties for SvgRecord creation - plot_props: None | PlotProperties = None - # Suffix if stored (locally) through matplotlib (e.g. _crayzmodel.png). Will add transient name - plot_matplotlib_suffix: None | str = None - # Suffix if stored (locally) through matplotlib (e.g. _crayzmodel.png). Will add transient name - plot_matplotlib_dir: str = "." + plot_props: None | PlotProperties = None # Plot properties for SvgRecord creation + plot_matplotlib_suffix: None | str = ( + None # Suffix if stored (locally) through matplotlib (e.g. _crayzmodel.png). Will add transient name + ) + plot_matplotlib_dir: str = "." # Suffix if stored (locally) through matplotlib (e.g. _crayzmodel.png). Will add transient name # Units from which time limits to use or redshifts can be picked. t2_dependency: Sequence[ @@ -220,7 +220,6 @@ def _get_redshift(self, t2_views) -> tuple[None | float, None | str]: z = [float(t2_res["bts_redshift"])] z_source = "BTS" elif self.redshift_kind == "T2LoadRedshift": - print(t2_res.keys) if "T2LoadRedshift_z" in t2_res: z = [float(t2_res["T2LoadRedshift_z"])] z_source = "T2LoadRedshift" @@ -256,9 +255,7 @@ def _get_redshift(self, t2_views) -> tuple[None | float, None | str]: # We now simply pick the middle number if isinstance(z_weights, list): z = z[z_weights.index(max(z_weights))] # type: ignore - print("INPUT") - print(z, z_weights) - print("SNCOSMOS z", z) + self.logger.warn(f"INPUT {z=} {z_weights=} SNCOSMOS z {z=}") elif isinstance(z, list): if len(z) % 2 != 0: z = z[int(len(z) / 2)] # type: ignore @@ -286,9 +283,7 @@ def _get_phaselimit(self, t2_views) -> tuple[None | float, None | float]: if t2_view.unit != "T2PhaseLimit": continue self.logger.debug(f"Parsing t2 results from {t2_view.unit}") - t2_res = ( - res[-1] if isinstance(res := t2_view.get_payload(), list) else res - ) + t2_res = get_payload(t2_view) jdstart = t2_res["t_start"] jdend = t2_res["t_end"] @@ -456,20 +451,8 @@ def process( self.fit_params, bounds=self.sncosmo_bounds, ) - except ValueError as e: - self.logger.info("Sncosmo fit error") - print("value error", e) - t2_output["run_error"] = True - return t2_output - except RuntimeError as e: - # Might have worked with different initial conditions? - print("value error", e) - self.logger.info("Sncosmo fit error") - t2_output["run_error"] = True - return t2_output - except DataQualityError as e: - print("value error", e) - self.logger.info("Sncosmo fit error") + except (ValueError, RuntimeError, DataQualityError) as e: + self.logger.error("Sncosmo fit error", exc_info=e) t2_output["run_error"] = True return t2_output diff --git a/ampel/contrib/hu/t2/T2RunSnoopy.py b/ampel/contrib/hu/t2/T2RunSnoopy.py index 8f6ddb1d..d5cb0073 100644 --- a/ampel/contrib/hu/t2/T2RunSnoopy.py +++ b/ampel/contrib/hu/t2/T2RunSnoopy.py @@ -17,6 +17,7 @@ from sfdmap2.sfdmap import SFDMap # type: ignore[import] from ampel.abstract.AbsTiedLightCurveT2Unit import AbsTiedLightCurveT2Unit +from ampel.contrib.hu.t2.util import get_payload from ampel.model.StateT2Dependency import StateT2Dependency from ampel.struct.UnitResult import UnitResult from ampel.types import UBson @@ -114,9 +115,7 @@ def _get_redshift(self, t2_views) -> tuple[None | float, None | str]: if t2_view.unit != self.redshift_kind: continue self.logger.debug(f"Parsing t2 results from {t2_view.unit}") - t2_res = ( - res[-1] if isinstance(res := t2_view.get_payload(), list) else res - ) + t2_res = get_payload(t2_view) # Parse this if self.redshift_kind == "T2MatchBTS": if "bts_redshift" in t2_res and t2_res["bts_redshift"] != "-": @@ -162,9 +161,7 @@ def _get_phaselimit(self, t2_views) -> tuple[None | float, None | float]: if t2_view.unit != "T2PhaseLimit": continue self.logger.debug(f"Parsing t2 results from {t2_view.unit}") - t2_res = ( - res[-1] if isinstance(res := t2_view.get_payload(), list) else res - ) + t2_res = get_payload(t2_view) jdstart = t2_res["t_start"] jdend = t2_res["t_end"] @@ -252,7 +249,8 @@ def process( return t2_output # Initialize SN - assert isinstance(pos := light_curve.get_pos(), tuple) + pos = light_curve.get_pos() + assert isinstance(pos, tuple) (ra, dec) = pos assert isinstance(light_curve.stock_id, int) if self.apply_mwcorrection: @@ -290,9 +288,7 @@ def process( # Construct name fname = os.path.join( self.plot_dir, - "{}_snoopy_{}.png".format( - ZTFIdMapper.to_ext_id(light_curve.stock_id), self.snoopy_model_name - ), + f"{ZTFIdMapper.to_ext_id(light_curve.stock_id)}_snoopy_{self.snoopy_model_name}.png", ) snoopy_sn.plot(outfile=fname) if self.plot_draw: diff --git a/ampel/contrib/hu/t2/T2RunTDE.py b/ampel/contrib/hu/t2/T2RunTDE.py index c73f762a..ccba47fc 100644 --- a/ampel/contrib/hu/t2/T2RunTDE.py +++ b/ampel/contrib/hu/t2/T2RunTDE.py @@ -56,7 +56,7 @@ def __init__( self._parameters: np.ndarray = np.array([1.584, 2.278, 4.0, 1e-25]) @staticmethod - def _planck_lam(self, wave: np.ndarray, T: np.ndarray) -> np.float64 | np.ndarray: + def _planck_lam(wave: np.ndarray, T: np.ndarray) -> np.float64 | np.ndarray: """ Calculate the spectral radiance of a blackbody :wave: np.ndarray, array containing wavelength in AA @@ -76,18 +76,17 @@ def _planck_lam(self, wave: np.ndarray, T: np.ndarray) -> np.float64 | np.ndarra # returns spectral radiance: J s-1 sr-1 m-3 return prefactor * 1 / (np.exp(exponential_term) - 1) / u.sr - @staticmethod - def _cc_bol_lam(self, wave: float | np.ndarray, T: np.ndarray): - return self._planck_lam(self, wave, T) * u.sr + @classmethod + def _cc_bol_lam(cls, wave: np.ndarray, T: np.ndarray): + return cls._planck_lam(wave, T) * u.sr @staticmethod - def _gauss(x: float, sigma: float | np.float64) -> float | np.float64: + def _gauss(x, sigma): """ Calculate a Gaussian """ return np.exp(-0.5 * x**2 / (sigma**2)) - @staticmethod def _gauss_exp(self, phases: np.ndarray) -> np.ndarray: risetime = self._parameters[0] decaytime = self._parameters[1] @@ -127,9 +126,9 @@ def _flux(self, phase: np.ndarray, wave: np.ndarray) -> np.ndarray: phase_iter = np.asarray(phase) if np.ndim(phase) == 0 else phase - bb_lam = self._cc_bol_lam(self, T=t_evo, wave=wave) + bb_lam = self._cc_bol_lam(T=t_evo, wave=wave) - rise_decay = self._gauss_exp(self, phases=phase_iter) + rise_decay = self._gauss_exp(phases=phase_iter) model_flux = (rise_decay * bb_lam).transpose() diff --git a/ampel/contrib/hu/t2/T2TNSEval.py b/ampel/contrib/hu/t2/T2TNSEval.py index cc8bdd4e..52f8a6a8 100644 --- a/ampel/contrib/hu/t2/T2TNSEval.py +++ b/ampel/contrib/hu/t2/T2TNSEval.py @@ -7,7 +7,7 @@ # Last Modified Date: 27.01.2021 # Last Modified By: jnordin@physik.hu-berlin.de -from collections.abc import Sequence +from collections.abc import Mapping, Sequence from typing import Any import numpy as np @@ -104,7 +104,7 @@ class T2TNSEval(AbsTiedLightCurveT2Unit): "Observer": "Robot", } - def inspect_catalog(self, cat_res: dict[str, Any]) -> bool: + def inspect_catalog(self, cat_res: Mapping[str, Any]) -> bool: """ Verify whether any catalog matching criteria prevents submission. @@ -119,7 +119,7 @@ def inspect_catalog(self, cat_res: dict[str, Any]) -> bool: for needed_cat in self.needed_catalogs: if not cat_res.get(needed_cat, False): self.logger.debug( - "no T2CATALOGMATCH results for %s" % needed_cat, + f"no T2CATALOGMATCH results for {needed_cat}", extra={"catalog_matches": cat_res}, ) return False @@ -163,7 +163,7 @@ def inspect_catalog(self, cat_res: dict[str, Any]) -> bool: # cut away bright stars. TODO: this considers just the closest matches... # as well as fast moving stars - gaia_dr2 = cat_res.get("GAIADR2", None) + gaia_dr2 = cat_res.get("GAIADR2") if ( gaia_dr2 and gaia_dr2["Mag_G"] > 0 @@ -316,14 +316,14 @@ def inspect_lc(self, lc: LightCurve) -> bool: # cut on median dRB score drbs = [pp["body"]["drb"] for pp in pps if "drb" in pp["body"]] - if len(drbs) > 0 and np.median(drbs) < self.drb_minmed: + if len(drbs) > 0 and np.median(drbs) < self.drb_minmed: # noqa: SIM103 return False # congratulation Lightcurve, you made it! return True def get_catalog_remarks( - self, lc: LightCurve, cat_res: dict[str, Any] + self, lc: LightCurve, cat_res: Mapping[str, Any] ) -> None | dict[str, Any]: """ Look through catalogs for remarks to be added to report. @@ -337,10 +337,10 @@ def get_catalog_remarks( sdss_spec = cat_res.get("SDSS_spec", False) if sdss_spec: remarks["remarks"] = ( - remarks["remarks"] + "SDSS spec-z %.3f. " % (sdss_spec["z"]) + remarks["remarks"] + f"SDSS spec-z {sdss_spec['z']:.3f}. " ) elif nedz: - remarks["remarks"] = remarks["remarks"] + "NED z %.3f. " % (nedz["z"]) + remarks["remarks"] = remarks["remarks"] + f"NED z {nedz['z']:.3f}. " # tag AGNs milliquas = cat_res.get("milliquas", False) @@ -460,8 +460,9 @@ def get_lightcurve_info(self, lc: LightCurve) -> None | dict[str, Any]: "limiting_flux": float("{:.2f}".format(pp["body"]["diffmaglim"])), "filter_value": TNSFILTERID.get(pp["body"]["fid"]), } - if pp["body"]["jd"] < atdict["discovery_datetime"]: - atdict["discovery_datetime"] = pp["body"]["jd"] + atdict["discovery_datetime"] = min( + pp["body"]["jd"], atdict["discovery_datetime"] + ) photdict.update(self.ztf_tns_at) atdict["photometry"]["photometry_group"][str(ipp)] = photdict @@ -497,7 +498,7 @@ def process( If needed by TNS, they need to be converted back at T3 """ - self.logger.debug("starting eval from %s" % (t2_views)) + self.logger.debug(f"starting eval from {t2_views}") # i. Check whether the lightcurve passes selection criteria if not self.inspect_lc(light_curve): @@ -507,7 +508,7 @@ def process( t2_cat_match = t2_views[0] assert t2_cat_match.unit in (dep.unit for dep in self.t2_dependency) catalog_result = t2_cat_match.get_payload() - assert isinstance(catalog_result, dict) + assert isinstance(catalog_result, Mapping) if not self.inspect_catalog(catalog_result): return {"tns_candidate": False, "tns_eval": "Catalog match rejection."} diff --git a/ampel/contrib/hu/t2/T2TabulatorRiseDecline.py b/ampel/contrib/hu/t2/T2TabulatorRiseDecline.py index e889aad0..d52e11f0 100644 --- a/ampel/contrib/hu/t2/T2TabulatorRiseDecline.py +++ b/ampel/contrib/hu/t2/T2TabulatorRiseDecline.py @@ -82,11 +82,10 @@ def getBandBits(bands: Sequence): return index -class FitFailed(RuntimeError): - ... +class FitFailed(RuntimeError): ... -class T2TabulatorRiseDeclineBase(AmpelBaseModel): +class T2TabulatorRiseDeclineBase: """ Derive a number of simple metrics describing the rise, peak and decline of a lc. @@ -539,7 +538,6 @@ def post_init(self) -> None: def extract_lightcurve_features(self, flux_table: Table) -> dict[str, float]: result = {} - # for band, fid in self.lightcurve_bands.items(): if (in_band := flux_table[flux_table["band"] == fid]) is None: continue @@ -642,7 +640,7 @@ def test_plot(self, name, table, t2result): ax.set_ylabel(band) # Create text string - title = "ndet: %s " % (t2result["ndet"]) + title = f'ndet: {t2result["ndet"]} ' for boolprop in [ "peaked", diff --git a/ampel/contrib/hu/t2/T2XgbClassifier.py b/ampel/contrib/hu/t2/T2XgbClassifier.py index bcd3075d..be08c569 100644 --- a/ampel/contrib/hu/t2/T2XgbClassifier.py +++ b/ampel/contrib/hu/t2/T2XgbClassifier.py @@ -9,7 +9,7 @@ import os from collections.abc import Sequence -from typing import Literal +from typing import Any, Literal import numpy as np import xgboost as xgb @@ -17,6 +17,7 @@ from ampel.abstract.AbsTiedStateT2Unit import AbsTiedStateT2Unit from ampel.content.DataPoint import DataPoint from ampel.content.T1Document import T1Document +from ampel.contrib.hu.t2.util import get_payload from ampel.model.StateT2Dependency import StateT2Dependency from ampel.types import UBson from ampel.view.T2DocView import T2DocView @@ -195,20 +196,16 @@ def process( dict """ - t2data = {} + t2data: dict[str, Any] = {} # Parse t2views - should not be more than one. for t2_view in t2_views: self.logger.debug(f"Parsing t2 results from {t2_view.unit}") # So far only knows how to parse phases from T2TabulatorRiseDecline if t2_view.unit == "T2TabulatorRiseDecline": - t2_res = ( - res[-1] if isinstance(res := t2_view.get_payload(), list) else res - ) + t2_res = get_payload(t2_view) t2data.update(t2_res) if t2_view.unit == "T2ElasticcRedshiftSampler": - t2_res = ( - res[-1] if isinstance(res := t2_view.get_payload(), list) else res - ) + t2_res = get_payload(t2_view) # For some reason we trained xgb using z, zerr and host_sep zdata = {"z": None, "z_err": None, "host_sep": None} if t2_res["z_source"] in [ @@ -229,10 +226,9 @@ def process( # xgboost use None values. pass else: - self.logger.info( - "Do not know how to handle z info", extra=t2_res + self.logger.warn( + "Do not know how to handle z info", extra=dict(t2_res) ) - print(t2_res) return {"model": self.model_prefix, "xgbsuccess": False} t2data.update(zdata) @@ -287,9 +283,7 @@ def process( # Can we find away round creating a numpy array? prob = self._classifiers[b].predict_proba( - np.array( - [[t2data[col] if col in t2data else None for col in self.use_cols]] - ) + np.array([[t2data.get(col) for col in self.use_cols]]) ) t2out["prob0"] = float(prob[0][0]) t2out["is_0"] = float(prob[0][0]) > 0.5 diff --git a/ampel/contrib/hu/t2/util.py b/ampel/contrib/hu/t2/util.py new file mode 100644 index 00000000..89d9ec32 --- /dev/null +++ b/ampel/contrib/hu/t2/util.py @@ -0,0 +1,25 @@ +from collections.abc import Mapping +from typing import Any, overload + +from ampel.types import TBson +from ampel.view.T2DocView import T2DocView + + +@overload +def get_payload(view: T2DocView, *, code: int | None = None) -> Mapping[str, Any]: ... + + +@overload +def get_payload( + view: T2DocView, type: type[TBson], *, code: int | None = None +) -> TBson: ... + + +def get_payload( + view: T2DocView, + type: type[TBson] = Mapping[str, Any], # type: ignore[assignment] + *, + code: int | None = None, +) -> TBson: + """Get payload as given type, raising ValueError if not found""" + return view.get_payload(type, code=code, raise_exc=True) diff --git a/ampel/contrib/hu/t3/AbsScoreCalculator.py b/ampel/contrib/hu/t3/AbsScoreCalculator.py index f86c5bc8..84f1e676 100644 --- a/ampel/contrib/hu/t3/AbsScoreCalculator.py +++ b/ampel/contrib/hu/t3/AbsScoreCalculator.py @@ -10,7 +10,7 @@ from collections.abc import Generator from typing import Any, Literal -from ampel.abstract.AbsT3ReviewUnit import AbsT3ReviewUnit +from ampel.abstract.AbsT3Unit import AbsT3Unit from ampel.base.decorator import abstractmethod from ampel.struct.T3Store import T3Store from ampel.struct.UnitResult import UnitResult @@ -18,7 +18,7 @@ from ampel.view.SnapView import SnapView -class AbsScoreCalculator(AbsT3ReviewUnit, abstract=True): +class AbsScoreCalculator(AbsT3Unit, abstract=True): """ Abstract class for units which evaluated the final performance of a pipepline. diff --git a/ampel/contrib/hu/t3/AstroColibriPublisher.py b/ampel/contrib/hu/t3/AstroColibriPublisher.py index 2243e820..51d4612d 100644 --- a/ampel/contrib/hu/t3/AstroColibriPublisher.py +++ b/ampel/contrib/hu/t3/AstroColibriPublisher.py @@ -220,7 +220,6 @@ def process( tnsreport = next(iter(tview.extra["TNSReports"])) tns_name = tnsreport["objname"] tns_submission_time = tnsreport["discoverydate"] - print("FOUND TNS STUFF", tns_name, tns_submission_time) else: self.logger.debug("No TNS name", extra={"tnsName": None}) continue @@ -300,12 +299,10 @@ def process( # Ok, so we have a transient to react to if self.testcollect: if post_update: - print("Should send an update") + self.logger.debug("Should send an update") else: - print("New submission") - print("*** Posting ***") - print(payload) - print("*** Done ***") + self.logger.debug("New submission") + self.logger.debug(payload) # Journal submission jcontent = { @@ -315,9 +312,10 @@ def process( } else: - print("colibri submitting") - print(payload) - print(ipath) + self.logger.debug( + "colibri submitting", + extra={"payload": payload, "image_path": ipath}, + ) jcontent = self.colibriclient.firestore_post(payload, image_path=ipath) if jcontent: diff --git a/ampel/contrib/hu/t3/ChannelSummaryPublisher.py b/ampel/contrib/hu/t3/ChannelSummaryPublisher.py index 2b428fd9..11cd05e8 100755 --- a/ampel/contrib/hu/t3/ChannelSummaryPublisher.py +++ b/ampel/contrib/hu/t3/ChannelSummaryPublisher.py @@ -38,7 +38,7 @@ class ChannelSummaryPublisher(AbsPhotoT3Unit): dry_run: bool = False base_url: str = "https://desycloud.desy.de/remote.php/webdav/AMPEL/ZTF" - auth: NamedSecret[list] = NamedSecret(label="desycloud/valery") + auth: NamedSecret[list] = NamedSecret[list](label="desycloud/valery") def post_init(self) -> None: self.summary: dict[str, Any] = {} @@ -73,10 +73,8 @@ def extract_from_transient_view( assert isinstance(summary, dict) out.update(summary) last_detection = summary["last_detection"] - if last_detection < self._jd_range[0]: - self._jd_range[0] = last_detection - if last_detection > self._jd_range[1]: - self._jd_range[1] = last_detection + self._jd_range[0] = min(last_detection, self._jd_range[0]) + self._jd_range[1] = max(last_detection, self._jd_range[1]) return out diff --git a/ampel/contrib/hu/t3/CostCounter.py b/ampel/contrib/hu/t3/CostCounter.py index dfe161bd..756eb076 100644 --- a/ampel/contrib/hu/t3/CostCounter.py +++ b/ampel/contrib/hu/t3/CostCounter.py @@ -10,9 +10,9 @@ from collections.abc import Generator from typing import TypedDict -from ampel.abstract.AbsT3ReviewUnit import AbsT3ReviewUnit +from ampel.abstract.AbsT3Unit import AbsT3Unit from ampel.struct.T3Store import T3Store -from ampel.types import T3Send, UBson +from ampel.types import T3Send from ampel.view.SnapView import SnapView @@ -24,7 +24,7 @@ class Costs(TypedDict): t2duration: dict[str, float] -class CostCounter(AbsT3ReviewUnit): +class CostCounter(AbsT3Unit): """ Derive metrics for the total cost, as parsed by the provided documents: @@ -43,7 +43,7 @@ class CostCounter(AbsT3ReviewUnit): def process( self, gen: Generator[SnapView, T3Send, None], t3s: None | T3Store = None - ) -> UBson: + ) -> Costs: """ Loop through transients and add "costs". """ @@ -73,4 +73,4 @@ def process( for metadict in t2v.meta: costs["t2duration"][unit] += metadict.get("duration", 0) - return costs # type: ignore[return-value] + return costs diff --git a/ampel/contrib/hu/t3/DCachePublisher.py b/ampel/contrib/hu/t3/DCachePublisher.py index 256b53df..dff61e49 100755 --- a/ampel/contrib/hu/t3/DCachePublisher.py +++ b/ampel/contrib/hu/t3/DCachePublisher.py @@ -8,43 +8,34 @@ # Last Modified By: Jakob van Santen -import asyncio import datetime import gzip import io import os -import ssl import sys import time import traceback -from collections.abc import Generator +from collections.abc import Callable, Generator, Iterable from functools import partial -from typing import Any +from typing import Any, TypeVar from xml.etree import ElementTree import backoff import pytz -from aiohttp import ClientSession, TCPConnector, helpers -from aiohttp.client_exceptions import ( - ClientConnectionError, - ClientConnectorError, - ClientConnectorSSLError, - ClientResponseError, - ServerDisconnectedError, -) - -from ampel.abstract.AbsT3ReviewUnit import AbsT3ReviewUnit +import requests + +from ampel.abstract.AbsT3Unit import AbsT3Unit from ampel.secret.NamedSecret import NamedSecret from ampel.struct.JournalAttributes import JournalAttributes from ampel.struct.T3Store import T3Store -from ampel.struct.UnitResult import UnitResult -from ampel.types import UBson from ampel.util.json import AmpelEncoder from ampel.view.SnapView import SnapView from ampel.ztf.util.ZTFIdMapper import to_ztf_id +_T = TypeVar("_T") + -class DCachePublisher(AbsT3ReviewUnit): +class DCachePublisher(AbsT3Unit): """ Publish TransientViews to DCache in gzipped JSON format @@ -90,7 +81,9 @@ def serialize(self, tran_view: SnapView | dict[str, Any]) -> bytes: f.write(self.encoder.encode(tran_view).encode("utf-8")) return buf.getvalue() - async def create_directory(self, request, path_parts) -> None: + def create_directory( + self, session: requests.Session, path_parts: list[str] + ) -> None: path = [] while len(path_parts) > 0: # NB: os.path.join drops any parts before those that start with / @@ -100,31 +93,29 @@ async def create_directory(self, request, path_parts) -> None: if not self.dry_run: url = os.path.join(self.base_dest, *path) - if not await self.exists(request, url): - resp = await request("MKCOL", url, raise_for_status=False) + if not self.exists(session, url): + resp = session.request("MKCOL", url) # MKCOL on an existing directory returns 'Method not allowed' - if not (resp.status < 400 or resp.status == 405): + if not (resp.status_code < 400 or resp.status_code == 405): resp.raise_for_status() self.existing_paths.add(tuple(path)) - async def put(self, request, url, data, timeout=1.0): + def put(self, session: requests.Session, url, data, timeout=1.0): if self.dry_run: return - await request("PUT", url, data=data) + session.put(url, data=data) - async def exists(self, request, url): + def exists(self, session: requests.Session, url: str) -> bool: if self.dry_run: - return None - resp = await request("HEAD", url, raise_for_status=False) - return resp.status in {200, 201, 204} + return False + resp = session.head(url) + return resp.status_code in {200, 201, 204} @staticmethod - def is_permanent_error(exc): - if isinstance(exc, ClientResponseError): - return exc.code not in {403, 423, 500} - if isinstance(exc, ClientConnectorSSLError): - return True - return False + def is_permanent_error(exc: Exception): + if isinstance(exc, requests.HTTPError): + return exc.response.status_code not in {403, 423, 500} + return isinstance(exc, requests.ConnectionError) def _on_backoff(self, details): exc_typ, exc, _ = sys.exc_info() @@ -159,74 +150,53 @@ def _on_giveup(self, details): }, ) - async def publish_transient(self, request, tran_view: SnapView) -> str: + def publish_transient(self, session: requests.Session, tran_view: SnapView) -> str: assert isinstance(tran_view.id, int) ztf_name = to_ztf_id(tran_view.id) # group such that there are a maximum of 17576 in the same directory prefix = [ztf_name[:7], ztf_name[7:9]] - await self.create_directory(request, [self.channel, *prefix]) + self.create_directory(session, [self.channel, *prefix]) base_dir = os.path.join(self.base_dest, self.channel, *prefix) fname = base_dir + f"/{ztf_name}.json.gz" - await self.put(request, fname, data=self.serialize(tran_view)) + self.put(session, fname, data=self.serialize(tran_view)) return fname - async def send_requests(self, unbound_tasks): + def send_requests( + self, + unbound_tasks: Iterable[Callable[[requests.Session], _T]], + ) -> Iterable[_T]: """ Send a batch of requests :param unbound_tasks: sequence of callables that take a single argument - that is an aiohttp request object + that is a requests.Session """ - ssl_context = ssl.create_default_context( - capath=os.environ.get("X509_CERT_DIR", None) - ) - async with TCPConnector( - limit=self.max_parallel_requests, ssl_context=ssl_context - ) as connector, ClientSession( - connector=connector, - headers={"Authorization": f"BEARER {self.authz.get()}"}, - raise_for_status=True, - ) as session: - # ClientSession.request is a normal function returning an - # async context manager. While this is kind of equivalent - # to a coroutine, it can't be decorated with backoff. Wrap - # it so it can be. - # Note that it is important to not actually enter the - # context manager here, as this would close the response - # on exit, causing read() to raise ClientConnectionError. - async def async_request(*args, **kwargs): - return await session.request(*args, **kwargs) - - # robustify Session.request() against transitory failures - request = backoff.on_exception( - backoff.expo, - ( - asyncio.TimeoutError, - ClientResponseError, - ClientConnectorError, - ClientConnectionError, - ServerDisconnectedError, - ), - logger=None, - giveup=self.is_permanent_error, - on_giveup=self._on_giveup, - on_backoff=self._on_backoff, - )(async_request) - - tasks = [task(request) for task in unbound_tasks] - return await asyncio.gather(*tasks) + session = requests.Session() + session.headers["Authorization"] = f"BEARER {self.authz.get()}" + # verify should be a bool or a path to a CA cert dir + session.verify = os.environ.get("X509_CERT_DIR", True) + # robustify AsyncClient.request() against transitory failures + session.request = backoff.on_exception( # type: ignore[method-assign] + backoff.expo, + requests.exceptions.RequestException, + logger=None, + giveup=self.is_permanent_error, + on_giveup=self._on_giveup, + on_backoff=self._on_backoff, + )(session.request) + + return (task(session) for task in unbound_tasks) def process( self, gen: Generator[SnapView, JournalAttributes, None], t3s: T3Store - ) -> UBson | UnitResult: + ) -> None: """ Publish a transient batch """ - loop = asyncio.get_event_loop() t0 = time.time() - self.updated_urls += loop.run_until_complete( + updated_urls = list( self.send_requests( [ partial(self.publish_transient, tran_view=tran_view) @@ -236,23 +206,17 @@ def process( ) self.dt += time.time() - t0 - self.logger.info( - f"Published {len(self.updated_urls)} transients in {self.dt:.1f} s" - ) + self.logger.info(f"Published {len(updated_urls)} transients in {self.dt:.1f} s") if not self.dry_run: - asyncio.get_event_loop().run_until_complete( - self.send_requests([self.publish_manifest]) - ) + self.send_requests([self.publish_manifest]) - return None - - async def publish_manifest(self, request) -> None: + def publish_manifest(self, session: requests.Session) -> None: prefix = os.path.join(self.base_dest, self.channel) manifest_dir = os.path.join(prefix, "manifest") # create any directories that descend from the base path - await self.create_directory( - request, + self.create_directory( + session, list( os.path.split( prefix[len(os.path.commonprefix((self.base_dest, manifest_dir))) :] @@ -264,52 +228,51 @@ async def publish_manifest(self, request) -> None: previous = None # Move the previous manifest aside. - async with await request( - "PROPFIND", latest, raise_for_status=False - ) as response: - if ( - response.status < 400 - and ( - element := ElementTree.fromstring(await response.text()).find( - "**/{DAV:}prop/{DAV:}creationdate" - ) + response = session.request("PROPFIND", latest) + if ( + response.status_code < 400 + and ( + element := ElementTree.fromstring(response.text).find( + "**/{DAV:}prop/{DAV:}creationdate" ) - and (date := element.text) - ): - previous = os.path.join(manifest_dir, date + ".json.gz") - self.logger.info(f"Moving {latest} to {previous}") - await request( + ) + and (date := element.text) + ): + previous = os.path.join(manifest_dir, date + ".json.gz") + self.logger.info(f"Moving {latest} to {previous}") + ( + session.request( "MOVE", latest, headers={"Destination": previous}, ) + ).raise_for_status() # Write a new manifest with a link to previous manifest. - await request( - "PUT", - latest, - data=self.serialize( - { - "time": datetime.datetime.now(tz=pytz.UTC).isoformat(), - "previous": previous, - "updated": self.updated_urls, - } - ), - ) + ( + session.put( + latest, + data=self.serialize( + { + "time": datetime.datetime.now(tz=pytz.UTC).isoformat(), + "previous": previous, + "updated": self.updated_urls, + } + ), + ) + ).raise_for_status() # Create and post a read-only macaroon for the prefix path - async with await request( - "POST", + response = session.post( prefix + "/", headers={"Content-Type": "application/macaroon-request"}, json={ "caveats": ["activity:DOWNLOAD,LIST,READ_METADATA"], "validity": "PT48h", }, - ) as response: - authz = await response.json() - await request( - "PUT", + ) + authz = response.json() + session.put( os.path.join(prefix, "macaroon"), data=authz["macaroon"], ) @@ -317,7 +280,7 @@ async def publish_manifest(self, request) -> None: def get_macaroon( - user: helpers.BasicAuth, + user: requests.auth.HTTPBasicAuth, path: str, validity: str, activity: None | list[str] = None, @@ -337,21 +300,16 @@ def get_macaroon( if caveats: body["caveats"] = caveats - async def fetch(): - ssl_context = ssl.create_default_context( - capath=os.environ.get("X509_CERT_DIR", None) - ) - async with TCPConnector(ssl_context=ssl_context) as connector, ClientSession( - auth=user, connector=connector - ) as session: - resp = await session.post( - f"https://{host}:{port}{path}", - headers={"Content-Type": "application/macaroon-request"}, - json=body, - ) - return (await resp.json())["macaroon"] - - return asyncio.get_event_loop().run_until_complete(fetch()) + session = requests.Session() + # verify should be a bool or a path to a CA cert dir + session.verify = os.environ.get("X509_CERT_DIR", True) + resp = session.post( + f"https://{host}:{port}{path}", + headers={"Content-Type": "application/macaroon-request"}, + json=body, + auth=user, + ) + return (resp.json())["macaroon"] if __name__ == "__main__": @@ -373,7 +331,7 @@ async def fetch(): p.add_argument( "-u", "--user", - type=lambda x: helpers.BasicAuth(*(x.split(":"))), + type=lambda x: requests.auth.HTTPBasicAuth(*(x.split(":"))), help="username:password for basic auth", ) p.add_argument( @@ -400,4 +358,4 @@ async def fetch(): opts = parser.parse_args() kwargs = dict(opts.__dict__) kwargs.pop("command") - print(opts.command(**kwargs)) + print(opts.command(**kwargs)) # noqa: T201 diff --git a/ampel/contrib/hu/t3/ElasticcClassPublisher.py b/ampel/contrib/hu/t3/ElasticcClassPublisher.py index e9983b01..73f6b958 100644 --- a/ampel/contrib/hu/t3/ElasticcClassPublisher.py +++ b/ampel/contrib/hu/t3/ElasticcClassPublisher.py @@ -7,11 +7,11 @@ # Last Modified Date: 11.04.2022 # Last Modified By: jno -from collections.abc import Generator, Iterable +from collections.abc import Generator, Iterable, Mapping from itertools import islice from typing import TYPE_CHECKING, TypeVar -from ampel.abstract.AbsT3ReviewUnit import AbsT3ReviewUnit, T3Send +from ampel.abstract.AbsT3Unit import AbsT3Unit, T3Send from ampel.contrib.hu.t3.ElasticcTomClient import ElasticcTomClient from ampel.enum.DocumentCode import DocumentCode from ampel.log import LogFlag @@ -37,7 +37,7 @@ def chunks(l: Iterable[T], n: int) -> Generator[list[T], None, None]: break -class ElasticcClassPublisher(AbsT3ReviewUnit): +class ElasticcClassPublisher(AbsT3Unit): """ This unit is intended to submit classifications to the DESC TOM db during @@ -140,7 +140,8 @@ def select_alerts(entry: "JournalRecord") -> bool: tran_view.get_journal_entries(tier=0, filter_func=select_alerts) ): for entry in jentries: - assert isinstance(link := entry.get("link"), int) + link = entry.get("link") + assert isinstance(link, int) if link in done_t1states: state_map[link] = True else: @@ -189,7 +190,7 @@ def _get_reports( f"Got configs={t2view.config},{t2_view_extra.config} for " f"stock:{t2view.stock},link:{t2view.link},unit:{t2view.unit}" # type: ignore[str-bytes-safe] ) - if not isinstance((body := t2view.get_payload()), dict): + if not isinstance((body := t2view.get_payload()), Mapping): continue yield tran_view, t1_link, body["report"] self.logger.log(LogFlag.SHOUT, "filtered states", extra=stats) diff --git a/ampel/contrib/hu/t3/HealpixCorrPlotter.py b/ampel/contrib/hu/t3/HealpixCorrPlotter.py index f96f006a..fc86cb8c 100644 --- a/ampel/contrib/hu/t3/HealpixCorrPlotter.py +++ b/ampel/contrib/hu/t3/HealpixCorrPlotter.py @@ -39,9 +39,9 @@ class HealpixCorrPlotter(AbsPhotoT3Unit): ) # What do we study - target_property: Literal[ - "Abs fit peak mag", r"$\chi^2$ / d.o.f." - ] = "Abs fit peak mag" + target_property: Literal["Abs fit peak mag", r"$\chi^2$ / d.o.f."] = ( + "Abs fit peak mag" + ) target_range: list[float] = [-13.5, -17.5] max_pvalue: float = 0.9 diff --git a/ampel/contrib/hu/t3/PlotLightcurveSample.py b/ampel/contrib/hu/t3/PlotLightcurveSample.py index fc587592..70b10873 100644 --- a/ampel/contrib/hu/t3/PlotLightcurveSample.py +++ b/ampel/contrib/hu/t3/PlotLightcurveSample.py @@ -165,9 +165,10 @@ def _get_sncosmo_results(self, tran_view): if not len(t2res) > 0: return None if len(t2res) > 1: - # self.logger.info('Multiple T2 results, grabbing last', extra={'stock':tran_view.id, 't2res': t2res} ) - print("why multiple?") - print(t2res) + self.logger.info( + "Multiple T2 results, grabbing last", + extra={"stock": tran_view.id, "t2res": t2res}, + ) t2body = t2res[-1].body[-1] # Check fit quality diff --git a/ampel/contrib/hu/t3/PlotTransientLightcurves.py b/ampel/contrib/hu/t3/PlotTransientLightcurves.py index 0d3fadfd..bc7865d1 100755 --- a/ampel/contrib/hu/t3/PlotTransientLightcurves.py +++ b/ampel/contrib/hu/t3/PlotTransientLightcurves.py @@ -26,7 +26,7 @@ from matplotlib.colors import Normalize from matplotlib.ticker import MultipleLocator from slack_sdk.web import WebClient -from ztfquery.utils.stamps import get_ps_stamp # type: ignore +from ztfquery.utils.stamps import get_ps_stamp from ampel.abstract.AbsPhotoT3Unit import AbsPhotoT3Unit from ampel.abstract.AbsTabulatedT2Unit import AbsTabulatedT2Unit diff --git a/ampel/contrib/hu/t3/RapidBase.py b/ampel/contrib/hu/t3/RapidBase.py index c568125a..d8b86cc7 100755 --- a/ampel/contrib/hu/t3/RapidBase.py +++ b/ampel/contrib/hu/t3/RapidBase.py @@ -109,9 +109,9 @@ def test_react( if not self.slack_token: return False, None - from slack import WebClient - from slack.errors import SlackClientError - from slack.web.slack_response import SlackResponse + from slack_sdk import WebClient + from slack_sdk.errors import SlackClientError + from slack_sdk.web import SlackResponse sc = WebClient(self.slack_token.get()) assert isinstance(tran_view.id, int) diff --git a/ampel/contrib/hu/t3/RapidLco.py b/ampel/contrib/hu/t3/RapidLco.py index ca76700d..a2bcbbfd 100755 --- a/ampel/contrib/hu/t3/RapidLco.py +++ b/ampel/contrib/hu/t3/RapidLco.py @@ -25,7 +25,7 @@ class RapidLco(RapidBase): """ # LCO trigger info - lco_api: NamedSecret[str] = NamedSecret(label="lco/jnordin") + lco_api: NamedSecret[str] = NamedSecret[str](label="lco/jnordin") # A dict of LCO API triggers to be sent for each SN that fulfills all # criteria. Assumed to have the following key content: # 'trigger_name': {'start_delay':X (days), 'end_delay':Y (days), 'api_form':Z} @@ -212,9 +212,9 @@ def react( # Update with information react_dict["name"] = submit_name + "_" + transient_name - react_dict["requests"][0]["configurations"][0]["target"][ - "name" - ] = transient_name + react_dict["requests"][0]["configurations"][0]["target"]["name"] = ( + transient_name + ) react_dict["requests"][0]["configurations"][0]["target"]["ra"] = str(ra) react_dict["requests"][0]["configurations"][0]["target"]["dec"] = str(dec) # Some keys are not necessarily there @@ -244,7 +244,7 @@ def react( # Abort if we have errors if len(testreply.json()["errors"]) > 0: self.logger.info( - "Validating LCO trigger fails for for %s" % (transient_name), + f"Validating LCO trigger fails for for {transient_name}", extra={"target": transient_name, "react_dict": react_dict}, ) success = False @@ -262,7 +262,7 @@ def react( response.raise_for_status() except requests.exceptions.HTTPError: self.logger.info( - "Submit LCO fails for %s" % (transient_name), + f"Submit LCO fails for {transient_name}", extra={ "target": transient_name, "react_dict": react_dict, @@ -273,7 +273,7 @@ def react( # Look at the response self.logger.info( - "Submit LCO succeeds for %s" % (transient_name), + f"Submit LCO succeeds for {transient_name}", extra={ "target": transient_name, "react_dict": react_dict, diff --git a/ampel/contrib/hu/t3/ScoreSingleObject.py b/ampel/contrib/hu/t3/ScoreSingleObject.py index 3035cda1..15e0eaaa 100644 --- a/ampel/contrib/hu/t3/ScoreSingleObject.py +++ b/ampel/contrib/hu/t3/ScoreSingleObject.py @@ -37,19 +37,13 @@ def evaluate(self, t2unit: str, t2_result: dict[str, Any]) -> float: value given by time differents to provided tzero. """ - print(t2unit) - print(t2_result) - if t2unit != "T2InfantCatalogEval": return 0 # Check if this is the desired object cdist = (t2_result["ra"] - self.ra) ** 2 + (t2_result["dec"] - self.dec) ** 2 - print(cdist) if cdist > self.maxdist**2: return 0 - print("score1") - # Return score return (t2_result["t_max"] - self.tzero) ** self.powerscale diff --git a/ampel/contrib/hu/t3/ScoreTNSObjects.py b/ampel/contrib/hu/t3/ScoreTNSObjects.py index 8c4680d6..b5291511 100644 --- a/ampel/contrib/hu/t3/ScoreTNSObjects.py +++ b/ampel/contrib/hu/t3/ScoreTNSObjects.py @@ -7,7 +7,6 @@ # Last Modified Date: 8.1.2024 # Last Modified By: jno -import asyncio from typing import Any from astropy.time import Time @@ -26,7 +25,7 @@ class ScoreTNSObjects(AbsScoreCalculator): """ # Bot api key frm TNS - tns_api_key: NamedSecret[str] = NamedSecret(label="tns/api/token") + tns_api_key: NamedSecret[str] = NamedSecret[str](label="tns/api/token") tns_id: int = 49023 tns_name: str = "ZTF_AMPEL_NEW" @@ -54,18 +53,21 @@ def __init__(self, **kwargs): self.logger, ) - async def get_tns_discovery(self, ra, dec): + def get_tns_discovery(self, ra: float, dec: float) -> None | float: tdisc = None - async for doc in self.client.search( - ra=ra, dec=dec, radius=self.maxdist, units="arcsec" + for doc in self.client.search( + ra=ra, + dec=dec, + radius=self.maxdist, + units="arcsec", ): - print("got from tns", doc) + self.logger.debug("got from tns", extra={"doc": doc}) if doc["name_prefix"] not in self.tns_prefix: continue if (discdate := doc.get("discoverydate", None)) is None: continue tdisc = Time(discdate, format="iso", scale="utc").jd - print(".... FOUND A DISC DATE", tdisc) + self.logger.debug("found a discovery date", extra={"tdisc": tdisc}) return tdisc def evaluate(self, t2unit: str, t2_result: dict[str, Any]) -> float: @@ -78,11 +80,8 @@ def evaluate(self, t2unit: str, t2_result: dict[str, Any]) -> float: if t2unit != "T2InfantCatalogEval": return 0 - print("t2result") - print(t2_result) - - if (ra := t2_result.get("ra", None)) and (dec := t2_result.get("dec", None)): - tjd = asyncio.run(self.get_tns_discovery(ra, dec)) + if (ra := t2_result.get("ra")) and (dec := t2_result.get("dec")): + tjd = self.get_tns_discovery(ra, dec) else: tjd = None @@ -92,6 +91,4 @@ def evaluate(self, t2unit: str, t2_result: dict[str, Any]) -> float: # calculate score tdiff = max(t2_result["t_max"] - tjd, self.mindiff) - print("time diff", tdiff) - print("score", (tdiff) ** self.powerscale) return (tdiff) ** self.powerscale diff --git a/ampel/contrib/hu/t3/SlackSummaryPublisher.py b/ampel/contrib/hu/t3/SlackSummaryPublisher.py index 203be070..3f1bb770 100755 --- a/ampel/contrib/hu/t3/SlackSummaryPublisher.py +++ b/ampel/contrib/hu/t3/SlackSummaryPublisher.py @@ -10,16 +10,15 @@ import datetime import io from collections.abc import Generator, Iterable, Mapping -from typing import Any, cast +from typing import Any import numpy as np import pandas as pd import requests from slack_sdk import WebClient from slack_sdk.errors import SlackClientError -from slack_sdk.web import SlackResponse -from ampel.abstract.AbsT3ReviewUnit import AbsT3ReviewUnit +from ampel.abstract.AbsT3Unit import AbsT3Unit from ampel.log.utils import log_exception from ampel.secret.NamedSecret import NamedSecret from ampel.struct.T3Store import T3Store @@ -28,7 +27,7 @@ from ampel.ztf.util.ZTFIdMapper import to_ztf_id -class SlackSummaryPublisher(AbsT3ReviewUnit): +class SlackSummaryPublisher(AbsT3Unit): """""" dry_run: bool = False @@ -68,37 +67,36 @@ def process( if self.dry_run: self.logger.info(m) else: - # we know this is a sync client; work around lazy type annotations - api = cast( - SlackResponse, - sc.api_call( - "chat.postMessage", - json={ - "channel": self.slack_channel, - "text": m, - "username": "AMPEL-live", - "as_user": False, - }, - ), + api = sc.api_call( + "chat.postMessage", + json={ + "channel": self.slack_channel, + "text": m, + "username": "AMPEL-live", + "as_user": False, + }, ) if not api["ok"]: raise SlackClientError(api["error"]) if len(frames) > 0: df = pd.DataFrame.from_records(frames) - # Set fill value for channel columns to False - for channel in channels: - df[channel].fillna(False, inplace=True) - # Set fill value for all other columns to MISSING - for field in set(df.columns.values).difference(channels): - df[field].fillna("MISSING", inplace=True) + # Set fill value for channel columns to False, and all others to MISSING + df.fillna( + {c: False for c in channels} + | { + field: "MISSING" + for field in set(df.columns.values).difference(channels) + }, + inplace=True, + ) # Move channel info at end df = df.reindex( copy=False, columns=[c for c in df.columns if c not in channels] + list(channels), ) - filename = "Summary_%s.csv" % date + filename = f"Summary_{date}.csv" buffer = io.StringIO(filename) df.to_csv(buffer) @@ -139,11 +137,16 @@ def process( if self.full_photometry: photometry_df = pd.concat(photometry, sort=False) # Set fill value for channel columns to False - for channel in channels: - photometry_df[channel].fillna(False, inplace=True) - # Set fill value for all other columns to MISSING - for field in set(photometry_df.columns.values).difference(channels): - photometry_df[field].fillna("MISSING", inplace=True) + photometry_df.fillna( + {c: False for c in channels} + | { + field: "MISSING" + for field in set(photometry_df.columns.values).difference( + channels + ) + }, + inplace=True, + ) # Move channel info at end photometry_df = photometry_df.reindex( copy=False, @@ -151,7 +154,7 @@ def process( + list(channels), ) - filename = "Photometry_%s.csv" % date + filename = f"Photometry_{date}.csv" buffer = io.StringIO(filename) photometry_df.to_csv(buffer) @@ -208,7 +211,7 @@ def combine_transients( if ( t2record.unit == "T2LightCurveSummary" or not (output := t2record.get_payload()) - or not isinstance(output, dict) + or not isinstance(output, Mapping) ): continue diff --git a/ampel/contrib/hu/t3/SubmitTNS.py b/ampel/contrib/hu/t3/SubmitTNS.py index 3a361db9..f188bc76 100644 --- a/ampel/contrib/hu/t3/SubmitTNS.py +++ b/ampel/contrib/hu/t3/SubmitTNS.py @@ -7,7 +7,6 @@ # Last Modified Date: 1.03.2024 # Last Modified By: jnordin@physik.hu-berlin.de -import asyncio import time from collections.abc import Generator from typing import Any @@ -55,13 +54,17 @@ def post_init(self) -> None: self.logger, ) - async def get_tns_names(self, ra, dec): - names = [] - async for doc in self.client.search( - ra=ra, dec=dec, radius=self.maxdist, units="arcsec" - ): - names.extend(doc["internal_names"].split(", ")) - return names + def get_tns_names(self, ra: float, dec: float) -> set[str]: + return { + name + for doc in self.client.search( + ra=ra, + dec=dec, + radius=self.maxdist, + units="arcsec", + ) + for name in doc["internal_names"].split(", ") + } def sendReports(self, reports: list[dict]) -> dict: """ @@ -75,7 +78,7 @@ def sendReports(self, reports: list[dict]) -> dict: for atreport in reports: # Submit a report for _ in range(MAX_LOOP): - reportid = asyncio.run(self.client.sendReport(atreport)) + reportid = self.client.sendReport(atreport) if reportid: break time.sleep(SLEEP) @@ -86,7 +89,7 @@ def sendReports(self, reports: list[dict]) -> dict: # Try to read reply for _ in range(MAX_LOOP): time.sleep(SLEEP) - response = asyncio.run(self.client.reportReply(reportid)) + response = self.client.reportReply(reportid) if isinstance(response, list) or ( isinstance(response, dict) and "at_report" in response ): @@ -161,10 +164,8 @@ def process( # directly check with TNS... unnecessary? if self.tns_doublecheck: - tnsmatch = asyncio.run( - self.get_tns_names( - ra=atdict["ra"]["value"], dec=atdict["dec"]["value"] - ) + tnsmatch = self.get_tns_names( + ra=atdict["ra"]["value"], dec=atdict["dec"]["value"] ) if atdict["internal_name"] in tnsmatch: continue diff --git a/ampel/contrib/hu/t3/TNSMirrorUpdater.py b/ampel/contrib/hu/t3/TNSMirrorUpdater.py index abca0dba..0495a683 100755 --- a/ampel/contrib/hu/t3/TNSMirrorUpdater.py +++ b/ampel/contrib/hu/t3/TNSMirrorUpdater.py @@ -7,7 +7,6 @@ # Last Modified Date: 29.12.2020 # Last Modified By: Jakob van Santen -import asyncio import datetime from typing import Any @@ -25,7 +24,7 @@ class TNSMirrorUpdater(AbsOpsUnit): Sync a local mirror of the TNS database """ - extcats_auth: NamedSecret[dict] = NamedSecret(label="extcats/writer") + extcats_auth: NamedSecret[dict] = NamedSecret[dict](label="extcats/writer") api_key: NamedSecret[dict] timeout: float = 60.0 max_parallel_requests: int = 8 @@ -35,17 +34,17 @@ def run(self, beacon: None | dict[str, Any] = None) -> None | dict[str, Any]: now = datetime.datetime.now(tz=datetime.timezone.utc) last_run = beacon["updated"] if beacon else now - datetime.timedelta(days=7) - async def fetch(): + def fetch(): tns = TNSClient( TNSToken(**self.api_key.get()), self.timeout, self.max_parallel_requests, self.logger, ) - return [item async for item in tns.search(public_timestamp=str(last_run))] + return tns.search(public_timestamp=str(last_run)) if not self.dry_run: - new_reports = asyncio.get_event_loop().run_until_complete(fetch()) + new_reports = fetch() TNSMirrorDB( MongoClient( self.context.config.get("resource.extcats", str, raise_exc=True), diff --git a/ampel/contrib/hu/t3/TransientInfoPrinter.py b/ampel/contrib/hu/t3/TransientInfoPrinter.py index 473edf02..ed2edb9e 100755 --- a/ampel/contrib/hu/t3/TransientInfoPrinter.py +++ b/ampel/contrib/hu/t3/TransientInfoPrinter.py @@ -70,7 +70,7 @@ def _print_info(tran: TransientView, logger: Any) -> None: if tran.stock: logger.info(f"Tags: {tran.stock['tag']}") - logger.info("Content: %s" % tran.content_summary()) + logger.info(f"Content: {tran.content_summary()}") if tran.extra: logger.info(f"Extra: {tran.extra}") diff --git a/ampel/contrib/hu/t3/TransientViewDumper.py b/ampel/contrib/hu/t3/TransientViewDumper.py index 890b856d..592b0b44 100755 --- a/ampel/contrib/hu/t3/TransientViewDumper.py +++ b/ampel/contrib/hu/t3/TransientViewDumper.py @@ -50,7 +50,7 @@ class TransientViewDumper(AbsPhotoT3Unit): # If this is passed, files are always saved locally outputfile: None | str = None - desycloud_auth: NamedSecret[dict] = NamedSecret(label="desycloud") + desycloud_auth: NamedSecret[dict] = NamedSecret[dict](label="desycloud") desycloud_folder: str = "dumps" desycloud_filename: str = str(uuid.uuid1()) @@ -85,8 +85,6 @@ def process( ) -> UBson | UnitResult: count = 0 for count, tran_view in enumerate(transients, 1): # noqa: B007 - print("TransientViewDumper:") - print(type(tran_view)) self.outfile.write(self.encoder.encode(tran_view).encode("utf-8")) self.outfile.write(b"\n") self.outfile.close() diff --git a/ampel/contrib/hu/t3/VOEventPublisher.py b/ampel/contrib/hu/t3/VOEventPublisher.py index edb37991..8ce297ff 100644 --- a/ampel/contrib/hu/t3/VOEventPublisher.py +++ b/ampel/contrib/hu/t3/VOEventPublisher.py @@ -47,7 +47,7 @@ class VOEventPublisher(AbsPhotoT3Unit): # Selection of fields to output ("WHY?") name_filter: dict[str, str] = {"ZTF name": "ZTF", "TNS ID": "TNS"} # Which datapoints to include in submission? - which_photometry: Literal["first", "last"] = "first" # + which_photometry: Literal["first", "last"] = "first" # Schema for state dependent T2s (one row for each) why_schema: dict[str, Any] # Temporary file name @@ -63,8 +63,6 @@ def process( for k, tran_view in enumerate(gen, 1): # Chategorized by stock (internal ampel ID) and channel - stock = tran_view.id - print(stock) assert tran_view.stock is not None channels = tran_view.stock.get("channel") assert channels is not None @@ -91,7 +89,8 @@ def process( for t2res in tran_view.get_t2_views(unit=t2unit): for label, path in table_entries.items(): assert t2res.body - assert isinstance((body := t2res.body[-1]), dict) + body = t2res.body[-1] + assert isinstance(body, dict) if result := get_by_path(body, path): t2dict[label] = result if len(t2dict.keys()) == 0: @@ -138,6 +137,3 @@ def process( with open(self.fname, "wb") as fw: vp.dump(v, fw) - with open(self.fname) as fr: - for l in fr.readlines(): - print(l.rstrip()) diff --git a/ampel/contrib/hu/t3/tns/TNSClient.py b/ampel/contrib/hu/t3/tns/TNSClient.py index 7c2cee4c..e3bc9f25 100755 --- a/ampel/contrib/hu/t3/tns/TNSClient.py +++ b/ampel/contrib/hu/t3/tns/TNSClient.py @@ -7,53 +7,60 @@ # Last Modified Date: 04.11.2019 # Last Modified By: Jakob van Santen -import asyncio import json import sys +import time import traceback -from functools import partial +from collections.abc import Generator +from typing import Any -import aiohttp import backoff -from aiohttp import ClientSession -from aiohttp.client_exceptions import ( - ClientConnectionError, - ClientConnectorError, - ClientResponseError, - ServerDisconnectedError, -) +import requests +from requests_toolbelt import MultipartEncoder +from requests_toolbelt.sessions import BaseUrlSession + +from ampel.protocol.LoggerProtocol import LoggerProtocol from .TNSToken import TNSToken -async def tns_post( - session: ClientSession, - semaphore: asyncio.Semaphore, - method: str, - token: TNSToken, - data: dict | int, - payload_label: str = "data", - max_retries: int = 10, -) -> dict: - """ - post to TNS, asynchronously - """ - async with semaphore: +class TNSSession: + def __init__(self, base_url: str, token: TNSToken) -> None: + self._session = BaseUrlSession(base_url) + self._session.headers["User-Agent"] = "tns_marker" + json.dumps( + {"tns_id": token.id, "name": token.name, "type": "bot"} + ) + self._token = token + + def __call__( + self, + method: str, + data: dict | int, + payload_label: str = "data", + max_retries: int = 10, + ) -> dict[str, Any]: + """ + post to TNS + """ + + m = MultipartEncoder( + fields={ + "api_key": ( + None, + self._token.api_key.encode(), + "text/plain; charset=utf-8", + ), + payload_label: (None, json.dumps(data), "application/json"), + } + ) + for _ in range(max_retries): - with aiohttp.MultipartWriter("form-data") as mpwriter: - p: aiohttp.Payload = aiohttp.StringPayload(token.api_key) - p.set_content_disposition("form-data", name="api_key") - mpwriter.append(p) - if isinstance(data, dict): - p = aiohttp.JsonPayload(data) - else: - p = aiohttp.StringPayload(str(data)) - p.set_content_disposition("form-data", name=payload_label) - mpwriter.append(p) - resp = await session.post( - "https://www.wis-tns.org/api/" + method, data=mpwriter - ) - if resp.status == 429: + resp = self._session.post( + f"https://www.wis-tns.org/api/{method}", + data=m, + headers={"content-type": m.content_type}, + ) + if resp.status_code == 429: wait = max( ( int(resp.headers.get("x-cone-rate-limit-reset", 0)) @@ -63,35 +70,36 @@ async def tns_post( 1, ) ) - await asyncio.sleep(wait) + time.sleep(wait) continue else: # noqa: RET507 break resp.raise_for_status() - return await resp.json() + return resp.json() class TNSClient: - def __init__(self, token: TNSToken, timeout, maxParallelRequests, logger): + def __init__( + self, + token: TNSToken, + timeout: float, + maxParallelRequests: int, + logger: LoggerProtocol, + ) -> None: self.token = token - self.maxParallelRequests = maxParallelRequests self.logger = logger + + session = TNSSession("https://www.wis-tns.org/api/", self.token) # robustify tns_post - self.tns_post = backoff.on_exception( + self.request = backoff.on_exception( backoff.expo, - ( - TimeoutError, - ClientResponseError, - ClientConnectorError, - ClientConnectionError, - ServerDisconnectedError, - ), + requests.exceptions.RequestException, logger=None, giveup=self.is_permanent_error, on_giveup=self._on_giveup, on_backoff=self._on_backoff, max_time=timeout, - )(tns_post) + )(session.__call__) def _on_backoff(self, details): exc_typ, exc, _ = sys.exc_info() @@ -115,80 +123,35 @@ def _on_giveup(self, details): self.logger.warn("gave up", extra={"exc": err, "tries": details["tries"]}) @staticmethod - def is_permanent_error(exc): - if isinstance(exc, ClientResponseError): - return exc.code not in {500, 429, 404} + def is_permanent_error(exc: Exception) -> bool: + if isinstance(exc, requests.exceptions.HTTPError): + return exc.response.status_code not in {500, 429, 404} return False - async def search(self, exclude=set(), **params): # noqa: B006 - semaphore = asyncio.Semaphore(self.maxParallelRequests) - async with ClientSession( - headers={ - "User-Agent": "tns_marker" - + json.dumps( - {"tns_id": self.token.id, "name": self.token.name, "type": "bot"} - ) - }, - ) as session: - search = partial( - self.tns_post, session, semaphore, "get/search", self.token - ) - get = partial(self.tns_post, session, semaphore, "get/object", self.token) - response = await search(params) - names = [item["objname"] for item in response["data"]["reply"]] - tasks = [ - get({"objname": name}) - for name in names - if not (exclude and name in exclude) - ] - self.logger.info( - "TNS search", extra={"params": params, "results": len(names)} - ) - for fut in asyncio.as_completed(tasks): - item = await fut - yield item["data"]["reply"] - - async def get(self, session, semaphore, objname): - return await self.tns_post( - session, semaphore, "get/object", self.token, {"objname": objname} + def search( + self, + exclude: None | set[str] = None, + **params: Any, + ) -> Generator[dict[str, Any], None, None]: + response = self.request("get/search", params) + names = [item["objname"] for item in response["data"]["reply"]] + self.logger.info("TNS search", extra={"params": params, "results": len(names)}) + yield from ( + self.request("get/object", {"objname": name}) + for name in names + if not (exclude and name in exclude) ) + return - async def sendReport(self, report): - semaphore = asyncio.Semaphore(self.maxParallelRequests) - async with ClientSession( - headers={ - "User-Agent": "tns_marker" - + json.dumps( - {"tns_id": self.token.id, "name": self.token.name, "type": "bot"} - ) - }, - ) as session: - postreport = partial( - self.tns_post, session, semaphore, "bulk-report", self.token - ) - response = await postreport(report) - if response["id_code"] == 200: - return response["data"]["report_id"] - return False - - async def reportReply(self, report_id): - semaphore = asyncio.Semaphore(self.maxParallelRequests) - async with ClientSession( - headers={ - "User-Agent": "tns_marker" - + json.dumps( - {"tns_id": self.token.id, "name": self.token.name, "type": "bot"} - ) - }, - ) as session: - postreport = partial( - self.tns_post, - session, - semaphore, - "bulk-report-reply", - self.token, - payload_label="report_id", - ) - response = await postreport(report_id) + def get(self, objname: str) -> dict[str, Any]: + return self.request("get/object", {"objname": objname}) + + def sendReport(self, report) -> None | int: + response = self.request("bulk-report", report) + if response["id_code"] == 200: + return response["data"]["report_id"] + return None - return response["data"]["feedback"] + def reportReply(self, report_id: int) -> Any: + response = self.request("bulk-report-reply", report_id, "report_id") + return response["data"]["feedback"] diff --git a/ampel/contrib/hu/t3/tns/TNSMirrorDB.py b/ampel/contrib/hu/t3/tns/TNSMirrorDB.py index 2e8a1548..e8811fc4 100644 --- a/ampel/contrib/hu/t3/tns/TNSMirrorDB.py +++ b/ampel/contrib/hu/t3/tns/TNSMirrorDB.py @@ -90,7 +90,6 @@ def geojson_key(ra, dec): if __name__ == "__main__": - import asyncio import logging from argparse import ArgumentParser @@ -109,7 +108,10 @@ def geojson_key(ra, dec): args = parser.parse_args() client = TNSClient( - args.api_key, args.timeout, args.max_requests, logging.getLogger() + args.api_key, + args.timeout, + args.max_requests, + logging.getLogger(), # type: ignore[arg-type] ) db = TNSMirrorDB(args.mongo_uri, args.db) if args.no_update: @@ -117,14 +119,10 @@ def geojson_key(ra, dec): else: existing = set() - async def run(): - chunk = [] - async for doc in client.search(exclude=existing, public_timestamp=args.since): - chunk.append(doc) - if len(chunk) >= 100: - db.add_sources(chunk) - del chunk[:] - db.add_sources(chunk) - del chunk[:] - - asyncio.get_event_loop().run_until_complete(run()) + chunk = [] + for doc in client.search(exclude=existing, public_timestamp=args.since): + chunk.append(doc) + if len(chunk) >= 100: + db.add_sources(chunk) + del chunk[:] + db.add_sources(chunk) diff --git a/ampel/contrib/hu/t3/tns/tns_ampel_util.py b/ampel/contrib/hu/t3/tns/tns_ampel_util.py index 09584ba5..101a2c5c 100644 --- a/ampel/contrib/hu/t3/tns/tns_ampel_util.py +++ b/ampel/contrib/hu/t3/tns/tns_ampel_util.py @@ -108,8 +108,9 @@ def ztfdps_to_tnsdict( "limiting_flux": float("{0:.2f}".format(dp["body"]["diffmaglim"])), # noqa: UP030 "filter_value": TNSFILTERID.get(dp["body"]["fid"]), } - if dp["body"]["jd"] < atdict["discovery_datetime"]: - atdict["discovery_datetime"] = dp["body"]["jd"] + atdict["discovery_datetime"] = min( + dp["body"]["jd"], atdict["discovery_datetime"] + ) photdict.update(ZTF_TNS_AT) atdict["photometry"]["photometry_group"][ len(atdict["photometry"]["photometry_group"]) @@ -143,10 +144,10 @@ def get_tns_t2remarks(tview: TransientView) -> None | dict[str, Any]: sdss_spec = cat_res.get("SDSS_spec", False) if sdss_spec: remarks["remarks"] = ( - remarks["remarks"] + "SDSS spec-z %.3f. " % (sdss_spec["z"]) + remarks["remarks"] + f"SDSS spec-z {sdss_spec['z']:.3f}. " ) elif nedz: - remarks["remarks"] = remarks["remarks"] + "NED z %.3f. " % (nedz["z"]) + remarks["remarks"] = remarks["remarks"] + f"NED z {nedz['z']:.3f}. " # tag AGNs milliquas = cat_res.get("milliquas", False) diff --git a/ampel/contrib/hu/t3/HealpixTokenGenerator.py b/ampel/contrib/hu/t4/HealpixTokenGenerator.py similarity index 82% rename from ampel/contrib/hu/t3/HealpixTokenGenerator.py rename to ampel/contrib/hu/t4/HealpixTokenGenerator.py index f0b5e6ee..441e28fc 100644 --- a/ampel/contrib/hu/t3/HealpixTokenGenerator.py +++ b/ampel/contrib/hu/t4/HealpixTokenGenerator.py @@ -13,16 +13,13 @@ from astropy.time import Time # type: ignore from requests_toolbelt.sessions import BaseUrlSession -from ampel.abstract.AbsT3PlainUnit import AbsT3PlainUnit +from ampel.abstract.AbsT4Unit import AbsT4Unit from ampel.contrib.hu.util.AmpelHealpix import AmpelHealpix, deres from ampel.secret.NamedSecret import NamedSecret -from ampel.struct.Resource import Resource -from ampel.struct.T3Store import T3Store -from ampel.struct.UnitResult import UnitResult from ampel.types import UBson -class HealpixTokenGenerator(AbsT3PlainUnit): +class HealpixTokenGenerator(AbsT4Unit): """ Based on a URL to a Healpix map: - find pixels given requested prob contour. @@ -61,7 +58,7 @@ class HealpixTokenGenerator(AbsT3PlainUnit): debug: bool = False - def process(self, t3s: T3Store) -> UBson | UnitResult: + def do(self) -> UBson: # Retrieve and process map ah = AmpelHealpix( map_name=self.map_name, map_url=self.map_url, save_dir=self.map_dir @@ -141,11 +138,7 @@ def process(self, t3s: T3Store) -> UBson | UnitResult: } endpoint_count = "https://ampel.zeuthen.desy.de/api/ztf/archive/v3/alerts/healpix/skymap/count" response_count = session.post(endpoint_count, json=count_query_dict) - print(response_count.json()) alert_count_nofilter = response_count.json()["count"] - # print("ALERT COUNT NO FILTER", alert_count_nofilter) - - # print("HEALPIXTOKENGENERATOR::", query_dict) response = session.post( "streams/from_query", @@ -174,7 +167,6 @@ def process(self, t3s: T3Store) -> UBson | UnitResult: ) self.logger.info("Stream created", extra=response.json()) - # print("TOKENGENERATOR AAAAAAAAAAAAAAAAA::", response.json()["remaining"]["items"]) if response.json().get("remaining"): queried_alerts = response.json()["remaining"]["items"] else: @@ -192,22 +184,12 @@ def process(self, t3s: T3Store) -> UBson | UnitResult: "alert_count_query": queried_alerts, } - r = Resource(name=self.map_name, value=resource) - t3s.add_resource(r) - r = Resource(name=self.map_name + "_token", value=token) - t3s.add_resource(r) - r = Resource(name="healpix_map_dir", value=self.map_dir) - t3s.add_resource(r) - r = Resource(name="healpix_map_hash", value=map_hash) - t3s.add_resource(r) - r = Resource(name="healpix_map_name", value=self.map_name) - t3s.add_resource(r) - r = Resource(name="map_area", value=hp_area) - t3s.add_resource(r) - r = Resource(name="alert_count_nofilter", value=alert_count_nofilter) - t3s.add_resource(r) - - if self.debug: - return r.dict() - - return None + return { + self.map_name: resource, + self.map_name + "_token": token, + "healpix_map_dir": self.map_dir, + "healpix_map_hash": map_hash, + "healpix_map_name": self.map_name, + "map_area": hp_area, + "alert_count_nofilter": alert_count_nofilter, + } diff --git a/ampel/contrib/hu/t3/RandomMapGenerator.py b/ampel/contrib/hu/t4/RandomMapGenerator.py similarity index 88% rename from ampel/contrib/hu/t3/RandomMapGenerator.py rename to ampel/contrib/hu/t4/RandomMapGenerator.py index 854bc9b0..b1efc030 100644 --- a/ampel/contrib/hu/t3/RandomMapGenerator.py +++ b/ampel/contrib/hu/t4/RandomMapGenerator.py @@ -13,14 +13,11 @@ import numpy as np from astropy import units as u -from ampel.abstract.AbsT3PlainUnit import AbsT3PlainUnit -from ampel.struct.Resource import Resource -from ampel.struct.T3Store import T3Store -from ampel.struct.UnitResult import UnitResult +from ampel.abstract.AbsT4Unit import AbsT4Unit from ampel.types import UBson -class RandomMapGenerator(AbsT3PlainUnit): +class RandomMapGenerator(AbsT4Unit): """ Generate smoothed circular healpix probability values around a random coordinate. """ @@ -40,8 +37,9 @@ class RandomMapGenerator(AbsT3PlainUnit): min_date: str = "2019-06-12" max_date: str = "2023-10-01" - def process(self, t3s: T3Store) -> UBson | UnitResult: + def do(self) -> UBson: """Generate random coordinates, generate map around coordinates, save map and generated randoms""" + # generate random coordinates self.generate_randoms() @@ -58,10 +56,7 @@ def process(self, t3s: T3Store) -> UBson | UnitResult: "rand_seed": self.seed, } - r = Resource(name="random_map", value=resource) - t3s.add_resource(r) - - return None + return {"random_map": resource} def generate_randoms(self): """Generate random value pair for longitude, latitude, fwhm, trigger time, distance to be used in map generation.""" @@ -70,7 +65,7 @@ def generate_randoms(self): np.random.seed(self.seed) else: self.seed = np.random.random_integers(0, 2147483647) - print("RANDOMMAPGENERATOR:: ", self.seed) + self.logger.debug("RANDOMMAPGENERATOR", extra={"seed": self.seed}) np.random.seed(self.seed) tmp_date = atime.Time(self.min_date) @@ -118,7 +113,7 @@ def save_map(self): file_name = f"{self.save_dir}{(self.map_name).replace('.fits.gz', '')}.fits.gz" - print("Saving map: ", file_name) + self.logger.debug(f"Saving map: {file_name}") hdr_simple = [] hdr_simple.append(("SIMPLE", "T")) diff --git a/ampel/contrib/hu/t3/StreamTokenGenerator.py b/ampel/contrib/hu/t4/StreamTokenGenerator.py similarity index 85% rename from ampel/contrib/hu/t3/StreamTokenGenerator.py rename to ampel/contrib/hu/t4/StreamTokenGenerator.py index a622048d..c9dc7ca1 100644 --- a/ampel/contrib/hu/t3/StreamTokenGenerator.py +++ b/ampel/contrib/hu/t4/StreamTokenGenerator.py @@ -1,6 +1,6 @@ #!/usr/bin/env python3 # -*- coding: utf-8 -*- -# File: Ampel-ZTF/ampel/ztf/t3/resource/T3ZTFArchiveTokenGenerator.py +# File: Ampel-ZTF/ampel/ztf/t4/resource/T3ZTFArchiveTokenGenerator.py # License: BSD-3-Clause # Author: Akshay Eranhalodi # Date: 16.08.2024 @@ -14,15 +14,11 @@ from astropy.time import Time from requests_toolbelt.sessions import BaseUrlSession -from ampel.abstract.AbsT3PlainUnit import AbsT3PlainUnit +from ampel.abstract.AbsT4Unit import AbsT4Unit from ampel.secret.NamedSecret import NamedSecret -from ampel.struct.Resource import Resource -from ampel.struct.T3Store import T3Store -from ampel.struct.UnitResult import UnitResult -from ampel.types import UBson -class StreamTokenGenerator(AbsT3PlainUnit): +class StreamTokenGenerator(AbsT4Unit): """ Stream based token generator for: 1. Cone search @@ -46,7 +42,7 @@ class StreamTokenGenerator(AbsT3PlainUnit): pixels: None | list = None # use when mode is "healpix" # default jd range: [ztf_start, jd_now] - jd_range: list[float] = [2458195.0, float(Time.now().jd)] + jd_range: tuple[float, float] = (2458195.0, float(Time.now().jd)) #: seconds to wait for query to complete timeout: float = 60 @@ -54,7 +50,7 @@ class StreamTokenGenerator(AbsT3PlainUnit): debug: bool = False query: dict[str, Any] | None = None - def process(self, t3s: T3Store) -> UBson | UnitResult: + def do(self) -> dict[str, str]: if self.candidate: candidate = self.candidate else: # default candidate filter @@ -117,10 +113,4 @@ def process(self, t3s: T3Store) -> UBson | UnitResult: response.raise_for_status() self.logger.info("Stream created", extra=response.json()) - r = Resource(name=self.resource_name, value=token) - t3s.add_resource(r) - - if self.debug: - return r.dict() - - return None + return {self.resource_name: token} diff --git a/ampel/contrib/hu/test/test_slackpublisher.py b/ampel/contrib/hu/test/test_slackpublisher.py index df7b2fc4..738d4eaf 100644 --- a/ampel/contrib/hu/test/test_slackpublisher.py +++ b/ampel/contrib/hu/test/test_slackpublisher.py @@ -10,7 +10,6 @@ from ampel.contrib.hu.t3.SlackSummaryPublisher import SlackSummaryPublisher from ampel.enum.DocumentCode import DocumentCode from ampel.log.AmpelLogger import AmpelLogger -from ampel.secret.NamedSecret import NamedSecret from ampel.struct.T3Store import T3Store from ampel.view.T2DocView import TYPE_STATE_T2, T2DocView from ampel.view.TransientView import TransientView @@ -87,7 +86,7 @@ def test_slacksummary(t3_transient_views: list[TransientView], mocker): "_id", ], "excitement": {"Low": 50, "Mid": 200, "High": 400}, - "slack_token": NamedSecret(label="tokeytoke", value="xoxoxox"), + "slack_token": dict(label="tokeytoke", value="xoxoxox"), "slack_channel": "#ampel-live", "full_photometry": True, "logger": AmpelLogger.get_logger(), diff --git a/ampel/contrib/hu/util/AmpelHealpix.py b/ampel/contrib/hu/util/AmpelHealpix.py index dfc1d437..f446b8d2 100644 --- a/ampel/contrib/hu/util/AmpelHealpix.py +++ b/ampel/contrib/hu/util/AmpelHealpix.py @@ -20,6 +20,8 @@ import requests from astropy.time import Time +# ruff: noqa: T201 + class AmpelHealpix: """ diff --git a/ampel/contrib/hu/util/automation/get_kn.py b/ampel/contrib/hu/util/automation/get_kn.py index 5b439c06..aa12c987 100644 --- a/ampel/contrib/hu/util/automation/get_kn.py +++ b/ampel/contrib/hu/util/automation/get_kn.py @@ -15,6 +15,8 @@ from ampel.contrib.hu.util.automation.jobfileCaller import executeJobfile from ampel.contrib.hu.util.automation.jobfileWriter import writeJobfilesFromDict +# ruff: noqa: T201 + jobfile = "" diff --git a/ampel/contrib/hu/util/automation/jobfileCaller.py b/ampel/contrib/hu/util/automation/jobfileCaller.py index ef62d4a5..c9d52a14 100644 --- a/ampel/contrib/hu/util/automation/jobfileCaller.py +++ b/ampel/contrib/hu/util/automation/jobfileCaller.py @@ -13,6 +13,8 @@ from select import select from subprocess import Popen +# ruff: noqa: T201 + def executeJobfile(job_call, execute_directory, should_retry=True, max_retries=5): command = job_call diff --git a/ampel/contrib/hu/util/automation/jobfileWriter.py b/ampel/contrib/hu/util/automation/jobfileWriter.py index 7aa8b644..296b88df 100644 --- a/ampel/contrib/hu/util/automation/jobfileWriter.py +++ b/ampel/contrib/hu/util/automation/jobfileWriter.py @@ -7,6 +7,8 @@ # Last Modified Date: 20.03.2024 # Last Modified By: ernstand@physik.hu-berlin.de +# ruff: noqa: T201 + import os import sys diff --git a/conf/ampel-hu-astro/process/ChannelSummary.yml b/conf/ampel-hu-astro/process/ChannelSummary.yml index 0351a823..b0fca6c6 100644 --- a/conf/ampel-hu-astro/process/ChannelSummary.yml +++ b/conf/ampel-hu-astro/process/ChannelSummary.yml @@ -6,32 +6,29 @@ schedule: processor: unit: T3Processor config: - execute: - - unit: T3ReviewUnitExecutor - config: - supply: - unit: T3DefaultBufferSupplier - config: - select: - unit: T3StockSelector - config: - updated: - after: - match_type: time_last_run - process_name: ChannelSummary - before: - match_type: time_delta - tag: - with: ZTF - without: HAS_ERROR - load: - unit: T3LatestStateDataLoader - config: - directives: - - STOCK - - COMPOUND - stage: - unit: T3AdaptativeStager - config: - execute: - - unit: ChannelSummaryPublisher + supply: + unit: T3DefaultBufferSupplier + config: + select: + unit: T3StockSelector + config: + updated: + after: + match_type: time_last_run + process_name: ChannelSummary + before: + match_type: time_delta + tag: + with: ZTF + without: HAS_ERROR + load: + unit: T3LatestStateDataLoader + config: + directives: + - STOCK + - COMPOUND + stage: + unit: T3AdaptativeStager + config: + execute: + - unit: ChannelSummaryPublisher \ No newline at end of file diff --git a/conf/ampel-hu-astro/unit.yml b/conf/ampel-hu-astro/unit.yml index 853460df..f8390278 100644 --- a/conf/ampel-hu-astro/unit.yml +++ b/conf/ampel-hu-astro/unit.yml @@ -1,75 +1,75 @@ -- ampel.contrib.hu.t0.SimpleDecentFilter -- ampel.contrib.hu.t0.XShooterFilter -- ampel.contrib.hu.t0.PredetectionFilter -- ampel.contrib.hu.t0.TransientInClusterFilter +- ampel.contrib.hu.alert.DynamicShaperAlertConsumer +- ampel.contrib.hu.alert.load.WiseFileAlertLoader +- ampel.contrib.hu.alert.NeoWisePhotometryAlertSupplier +- ampel.contrib.hu.ingest.ZiGWDataPointShaper - ampel.contrib.hu.t0.LensedTransientFilter +- ampel.contrib.hu.t0.PredetectionFilter - ampel.contrib.hu.t0.RandFilter - ampel.contrib.hu.t0.RcfFilter - ampel.contrib.hu.t0.RedshiftCatalogFilter +- ampel.contrib.hu.t0.SimpleDecentFilter - ampel.contrib.hu.t0.StellarFilter -- ampel.contrib.hu.t2.T2PanStarrThumbPrint -- ampel.contrib.hu.t2.T2PhaseLimit -- ampel.contrib.hu.t2.T2PS1ThumbExtCat -- ampel.contrib.hu.t2.T2PS1ThumbNedSNCosmo -- ampel.contrib.hu.t2.T2PS1ThumbNedTap -- ampel.contrib.hu.t2.T2LCQuality +- ampel.contrib.hu.t0.TransientInClusterFilter +- ampel.contrib.hu.t0.XShooterFilter +- ampel.contrib.hu.t2.T2BaseLightcurveFitter +- ampel.contrib.hu.t2.T2BayesianBlocks - ampel.contrib.hu.t2.T2BrightSNProb -- ampel.contrib.hu.t2.T2TNSEval -- ampel.contrib.hu.t2.T2InfantCatalogEval -- ampel.contrib.hu.t2.T2RunSncosmo - ampel.contrib.hu.t2.T2CatalogMatchLocal +- ampel.contrib.hu.t2.T2DemoLightcurveFitter - ampel.contrib.hu.t2.T2DigestRedshifts -- ampel.contrib.hu.t2.T2LoadRedshift -- ampel.contrib.hu.t2.T2BayesianBlocks - ampel.contrib.hu.t2.T2DustEchoEval -- ampel.contrib.hu.t2.T2RunPossis -- ampel.contrib.hu.t2.T2RunTDE -- ampel.contrib.hu.t2.T2RunParsnip -- ampel.contrib.hu.t2.T2RunSnoopy -- ampel.contrib.hu.t2.T2MatchBTS -- ampel.contrib.hu.t2.T2NedTap -- ampel.contrib.hu.t2.T2NedSNCosmo -- ampel.contrib.hu.t2.T2PropagateStockInfo -- ampel.contrib.hu.t2.T2GetLensSNParameters -- ampel.contrib.hu.t2.T2LSPhotoZTap - ampel.contrib.hu.t2.T2ElasticcRedshiftSampler -- ampel.contrib.hu.t2.T2TabulatorRiseDecline -- ampel.contrib.hu.t2.T2XgbClassifier -- ampel.contrib.hu.t2.T2MultiXgbClassifier - ampel.contrib.hu.t2.T2ElasticcReport - ampel.contrib.hu.t2.T2FastDecliner +- ampel.contrib.hu.t2.T2GetLensSNParameters - ampel.contrib.hu.t2.T2HealpixProb +- ampel.contrib.hu.t2.T2InfantCatalogEval - ampel.contrib.hu.t2.T2KilonovaEval - ampel.contrib.hu.t2.T2KilonovaStats +- ampel.contrib.hu.t2.T2LCQuality +- ampel.contrib.hu.t2.T2LoadRedshift +- ampel.contrib.hu.t2.T2LSPhotoZTap +- ampel.contrib.hu.t2.T2MatchBTS - ampel.contrib.hu.t2.T2MatchGRB -- ampel.contrib.hu.t2.T2BaseLightcurveFitter -- ampel.contrib.hu.t2.T2DemoLightcurveFitter +- ampel.contrib.hu.t2.T2MultiXgbClassifier +- ampel.contrib.hu.t2.T2NedSNCosmo +- ampel.contrib.hu.t2.T2NedTap +- ampel.contrib.hu.t2.T2PanStarrThumbPrint +- ampel.contrib.hu.t2.T2PhaseLimit - ampel.contrib.hu.t2.T2PolynomialFit +- ampel.contrib.hu.t2.T2PropagateStockInfo +- ampel.contrib.hu.t2.T2PS1ThumbExtCat +- ampel.contrib.hu.t2.T2PS1ThumbNedSNCosmo +- ampel.contrib.hu.t2.T2PS1ThumbNedTap +- ampel.contrib.hu.t2.T2RunParsnip - ampel.contrib.hu.t2.T2RunParsnipRiseDecline -- ampel.contrib.hu.t3.TransientInfoPrinter -- ampel.contrib.hu.t3.TransientViewDumper +- ampel.contrib.hu.t2.T2RunPossis +- ampel.contrib.hu.t2.T2RunSncosmo +- ampel.contrib.hu.t2.T2RunSnoopy +- ampel.contrib.hu.t2.T2RunTDE +- ampel.contrib.hu.t2.T2TabulatorRiseDecline +- ampel.contrib.hu.t2.T2TNSEval +- ampel.contrib.hu.t2.T2XgbClassifier +- ampel.contrib.hu.t3.AbsScoreCalculator +- ampel.contrib.hu.t3.AstroColibriPublisher - ampel.contrib.hu.t3.ChannelSummaryPublisher -- ampel.contrib.hu.t3.SlackSummaryPublisher -- ampel.contrib.hu.t3.RapidBase -- ampel.contrib.hu.t3.RapidSedm -- ampel.contrib.hu.t3.RapidLco -- ampel.contrib.hu.t3.TNSMirrorUpdater -- ampel.contrib.hu.t3.TransientTablePublisher +- ampel.contrib.hu.t3.CostCounter +- ampel.contrib.hu.t3.ElasticcClassPublisher - ampel.contrib.hu.t3.HealpixCorrPlotter - ampel.contrib.hu.t3.PlotLightcurveSample -- ampel.contrib.hu.t3.ElasticcClassPublisher -- ampel.contrib.hu.t3.VOEventPublisher -- ampel.contrib.hu.t3.AstroColibriPublisher -- ampel.contrib.hu.t3.HealpixTokenGenerator -- ampel.contrib.hu.t3.RandomMapGenerator -- ampel.contrib.hu.t3.AbsScoreCalculator -- ampel.contrib.hu.t3.CostCounter +- ampel.contrib.hu.t3.PlotTransientLightcurves +- ampel.contrib.hu.t3.RapidBase +- ampel.contrib.hu.t3.RapidLco +- ampel.contrib.hu.t3.RapidSedm - ampel.contrib.hu.t3.ScoreSingleObject - ampel.contrib.hu.t3.ScoreTNSObjects -- ampel.contrib.hu.t3.PlotTransientLightcurves +- ampel.contrib.hu.t3.SlackSummaryPublisher - ampel.contrib.hu.t3.SubmitTNS -- ampel.contrib.hu.t3.StreamTokenGenerator -- ampel.contrib.hu.alert.load.WiseFileAlertLoader -- ampel.contrib.hu.alert.NeoWisePhotometryAlertSupplier -- ampel.contrib.hu.alert.DynamicShaperAlertConsumer -- ampel.contrib.hu.ingest.ZiGWDataPointShaper +- ampel.contrib.hu.t3.TNSMirrorUpdater +- ampel.contrib.hu.t3.TransientInfoPrinter +- ampel.contrib.hu.t3.TransientTablePublisher +- ampel.contrib.hu.t3.TransientViewDumper +- ampel.contrib.hu.t3.VOEventPublisher +- ampel.contrib.hu.t4.HealpixTokenGenerator +- ampel.contrib.hu.t4.RandomMapGenerator +- ampel.contrib.hu.t4.StreamTokenGenerator diff --git a/examples/stellar_outburst.yml b/examples/stellar_outburst.yml index 5ed0c658..54954435 100644 --- a/examples/stellar_outburst.yml +++ b/examples/stellar_outburst.yml @@ -1,9 +1,4 @@ name: stellarmay21 -parameters: -- name: channelname - value: may21 -- name: date - value: "2024-05-21" mongo: prefix: evalOutburst @@ -18,35 +13,39 @@ task: - title: token - unit: T3Processor + unit: T4Processor config: raise_exc: true execute: - - unit: T3PlainUnitExecutor + - unit: T4RunTimeContextUpdater config: - target: - unit: T3ZTFArchiveTokenGenerator - config: - date_str: "{{ job.parameters.date }}" - delta_t: 1. - resource_name: ztf_stream_token - candidate: - ndethist: - $gte: 3. -# $lte: 10. - drb: - $gt: 0.995 - magpsf: - $lt: 18.5 - rb: - $gt: 0.3 - isdiffpos: - $in: - - "t" - - "1" + execute: + - unit: T4ZTFArchiveTokenGenerator + config: + date_str: "2024-05-21" + delta_t: 1. + resource_name: "%%ztf_stream_token" + candidate: + ndethist: + $gte: 3. + # $lte: 10. + drb: + $gt: 0.995 + magpsf: + $lt: 18.5 + rb: + $gt: 0.3 + isdiffpos: + $in: + - "t" + - "1" - title: filterStellarOUtburst + template: + live: + - resolve_run_time_aliases + - hash_t2_config unit: AlertConsumer config: iter_max: 100000 @@ -57,11 +56,11 @@ task: loader: unit: ZTFArchiveAlertLoader config: - resource_name: ztf_stream_token + stream: "%%ztf_stream_token" shaper: ZiDataPointShaper directives: - - channel: "{{ job.parameters.channelname }}" + - channel: "may21" filter: config: min_ndet: 3 @@ -152,91 +151,85 @@ task: unit: T3Processor config: raise_exc: true - execute: - - unit: T3ReviewUnitExecutor - config: - supply: - unit: T3DefaultBufferSupplier - config: - select: - unit: T3StockSelector - config: - channel: "{{ job.parameters.channelname }}" - load: - unit: T3SimpleDataLoader - config: - directives: - - STOCK - - T1 - - T2DOC - - DATAPOINT - channel: "{{ job.parameters.channelname }}" - stage: - unit: T3SimpleStager + supply: + unit: T3DefaultBufferSupplier + config: + select: + unit: T3StockSelector + config: + channel: "may21" + load: + unit: T3SimpleDataLoader + config: + directives: + - STOCK + - T1 + - T2DOC + - DATAPOINT + channel: "may21" + stage: + unit: T3SimpleStager + config: + execute: + - unit: TransientTablePublisher config: - execute: - - unit: TransientTablePublisher - config: - include_stock: true - include_channels: true - # local_path: ./ - local_path: null - table_schema: - T2InfantCatalogEval: - 'ndet': - - detections - transient_table_schema: - T2CatalogMatch: - 'NED z': - - NEDz_extcats - - z - 'NEDLVS z': - - NEDLVS - - z - 'SDSS spec z': - - SDSS_spec - - z - 'SDSS spec class': - - SDSS_spec - - bptclass - 'SDSS DR10 class': - - SDSSDR10 - - type + slack_token: null + include_stock: true + include_channels: true + local_path: null + table_schema: + T2InfantCatalogEval: + 'ndet': + - detections + transient_table_schema: + T2CatalogMatch: + 'NED z': + - NEDz_extcats + - z + 'NEDLVS z': + - NEDLVS + - z + 'SDSS spec z': + - SDSS_spec + - z + 'SDSS spec class': + - SDSS_spec + - bptclass + 'SDSS DR10 class': + - SDSSDR10 + - type - title: PlotLightcurves unit: T3Processor config: raise_exc: true - execute: - - unit: T3ReviewUnitExecutor - config: - supply: - unit: T3DefaultBufferSupplier - config: - select: - unit: T3StockSelector - config: - channel: "{{ job.parameters.channelname }}" - load: - unit: T3SimpleDataLoader - config: - directives: - - STOCK - - T1 - - T2DOC - - DATAPOINT - channel: "{{ job.parameters.channelname }}" - stage: - unit: T3SimpleStager + supply: + unit: T3DefaultBufferSupplier + config: + select: + unit: T3StockSelector + config: + channel: "may21" + load: + unit: T3SimpleDataLoader + config: + directives: + - STOCK + - T1 + - T2DOC + - DATAPOINT + channel: "may21" + stage: + unit: T3SimpleStager + config: + execute: + - unit: PlotTransientLightcurves config: - execute: - - unit: PlotTransientLightcurves - config: - pdf_path: candidates.pdf - pdf_path: null - save_png: false - include_cutouts: true - tabulator: - - unit: ZTFT2Tabulator + pdf_path: candidates.pdf + pdf_path: null + save_png: false + include_cutouts: true + tabulator: + - unit: ZTFT2Tabulator diff --git a/poetry.lock b/poetry.lock index 29b26753..81ed18b9 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,14 +1,14 @@ -# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. 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"^1.16.2", optional = true} -light-curve = {version = "^0.7.3"} -ampel-lsst = {version = ">=0.8.6,<0.9", optional = true} +light-curve = {version = "^0.7.3", optional = true} +ampel-lsst = {version = ">=0.10.0a0,<0.11", optional = true} ztfquery = {version = "^1.26.1", optional = true} ligo-gracedb = {version = "^2.12.0", optional = true} astro-datalab = {version = "^2", optional = true} -# mainline snoopy can't be built as PEP 517 package; use our own distribution -snpy = {version = "^2.5.3", optional = true, source = "desy-gitlab"} +snpy = {version = "^2.7.0", optional = true} -[tool.poetry.dev-dependencies] +[tool.poetry.group.dev.dependencies] mypy = "^1.6.1" pytest = "^8.0.2" pytest-cov = "^6.0.0" @@ -81,9 +80,11 @@ types-pytz = "^2022.1.2" types-pillow = "^10.2.0.20240213" # prevent poetry 1.3 from removing setuptools setuptools = "*" +types-pyyaml = "^6.0.12.20240311" +mongomock = "^4.1.2" [tool.poetry.extras] -elasticc = ["xgboost", "astro-parsnip", "timeout-decorator", "ampel-lsst"] +elasticc = ["xgboost", "astro-parsnip", "timeout-decorator", "ampel-lsst", "light-curve"] extcats = ["extcats"] ligo = ["healpy", "sncosmo", "iminuit", "sfdmap2", "ampel-ztf", "ligo-gracedb"] panstarrs = ["pymage"] @@ -94,11 +95,7 @@ snpy = ["snpy"] notebook = ["jupyter"] voevent = ["voevent-parse"] ztf = ["ampel-ztf", "ztfquery"] - -[tool.poetry.group.dev.dependencies] -ruff = "^0.1.13" -types-pyyaml = "^6.0.12.20240311" - +lsst = ["ampel-lsst"] [[tool.poetry.source]] name = "desy-gitlab" @@ -146,13 +143,22 @@ module = [ "voeventparse.*", "healpy.*", "light_curve.*", + "xgboost.*", "ligo.*", + "ztfquery.*", "joblib.*", ] ignore_missing_imports = true [tool.pytest.ini_options] addopts = "--cov=ampel --showlocals -ra" +filterwarnings = [ + "error", + "always:numpy.ndarray size changed:RuntimeWarning", + "ignore:Deprecated call to `pkg_resources.declare_namespace\\('ligo'\\):DeprecationWarning", + "ignore:pkg_resources is deprecated:DeprecationWarning", + "ignore:(?s).*Pyarrow will become a required dependency of pandas:DeprecationWarning", +] [tool.black] line-length = 88 @@ -166,6 +172,9 @@ exclude = [ "setup.py", ] +[tool.ruff.format] +line-ending = "lf" + [tool.ruff.lint] select = [ "E4", @@ -176,7 +185,7 @@ select = [ "UP", # pyupgrade "B", # bugbear "DTZ", # datetimez - # "T20", # print statements + "T20", # print statements # "PT", # pytest-style "RET", # return "SLF", diff --git a/renovate.json b/renovate.json index cbd583b7..c48f3c55 100644 --- a/renovate.json +++ b/renovate.json @@ -1,6 +1,13 @@ { - "$schema": "https://docs.renovatebot.com/renovate-schema.json", "extends": [ - "local>AmpelProject/renovate-config" + "github>AmpelProject/renovate-config", + "github>AmpelProject/renovate-config//regexManagers/githubActionsVersions" + ], + "baseBranches": ["main", "stable/v0.8"], + "packageRules": [ + { + "matchPackagePatterns": ["^ampel-.*"], + "allowedVersions": "<0.11" + } ] } diff --git a/scripts/generate_unit_inventory.py b/scripts/generate_unit_inventory.py index f9cf79b2..e123eddf 100755 --- a/scripts/generate_unit_inventory.py +++ b/scripts/generate_unit_inventory.py @@ -69,7 +69,8 @@ def open_target_file(): bases = { "T0 units (alert filters)": ["AbsAlertFilter"], "T2 units (augment)": ["AbsPointT2Unit", "AbsTiedT2Unit", "AbsCustomStateT2Unit"], - "T3 units (react)": ["AbsT3PlainUnit", "AbsT3ReviewUnit"], + "T3 units (react)": ["AbsT3Unit"], + "T4 units (control)": ["AbsT4Unit"], } categories = {base: category for category, bases in bases.items() for base in bases} docs = {k: {} for k in bases}