diff --git a/backend/inspirehep/pidstore/api/data.py b/backend/inspirehep/pidstore/api/data.py index e51ae7742..9c629db3c 100644 --- a/backend/inspirehep/pidstore/api/data.py +++ b/backend/inspirehep/pidstore/api/data.py @@ -7,7 +7,8 @@ from inspirehep.pidstore.api.base import PidStoreBase from inspirehep.pidstore.minters.control_number import DataMinter +from inspirehep.pidstore.minters.doi import DoiMinter class PidStoreData(PidStoreBase): - minters = [DataMinter] + minters = [DataMinter, DoiMinter] diff --git a/workflows/dags/data/__init__.py b/workflows/dags/data/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/workflows/dags/data/data_harvest.py b/workflows/dags/data/data_harvest.py new file mode 100644 index 000000000..ef445819c --- /dev/null +++ b/workflows/dags/data/data_harvest.py @@ -0,0 +1,227 @@ +import datetime +import logging +from datetime import timedelta + +from airflow.decorators import dag, task, task_group +from airflow.models import Variable +from hooks.generic_http_hook import GenericHttpHook +from hooks.inspirehep.inspire_http_record_management_hook import ( + InspireHTTPRecordManagementHook, +) +from tenacity import RetryError + +logger = logging.getLogger(__name__) + + +@dag( + start_date=datetime.datetime(2024, 11, 28), + schedule="@daily", + catchup=False, + tags=["data"], +) +def data_harvest_dag(): + """ + Initialize a DAG for data harvest workflow. + """ + generic_http_hook = GenericHttpHook(http_conn_id="hepdata_connection") + inspire_http_record_management_hook = InspireHTTPRecordManagementHook() + + data_schema = Variable.get("data_schema") + + @task(task_id="collect_ids") + def collect_ids(): + """Collects the ids of the records that have been updated in the last two days. + + Returns: list of ids + """ + + from_date = (datetime.datetime.now().date() - timedelta(days=1)).strftime( + "%Y-%m-%d" + ) + # http sensor + payload = {"inspire_ids": True, "last_updated": from_date, "sort_by": "latest"} + hepdata_response = generic_http_hook.call_api( + endpoint="/search/ids", method="GET", params=payload + ) + + return hepdata_response.json() + + @task_group + def process_record(record_id): + """ + Process the record by downloading the versions, + building the record and loading it to inspirehep. + """ + + @task(task_concurrency=5) + def download_record_versions(id): + """ + Download the versions of the record. + + Args: id (int): The id of the record. + Returns: dict: The record versions. + """ + + hepdata_response = generic_http_hook.call_api( + endpoint=f"/record/ins{id}?format=json" + ) + hepdata_response.raise_for_status() + payload = hepdata_response.json() + + record = {"base": payload} + for version in range(1, payload["record"]["version"]): + response = generic_http_hook.call_api( + endpoint=f"/record/ins{id}?format=json&version={version}" + ) + record[version] = response.json() + + return record + + @task.virtualenv( + requirements=["inspire-schemas"], + system_site_packages=False, + map_index_template="{{params}}", + ) + def build_record(data_schema, payload, **context): + """Build the record from the payload. + + Args: data_schema (str): The schema of the data. + payload (dict): The payload of the record. + + Returns: dict: The built record. + """ + import datetime + import re + + from inspire_schemas.builders import DataBuilder + + print("wow") + + context["conf"] = {"wow": "wow1"} + context["params"] = {"wow": "wow2"} + print(context["params"]) + + def add_version_specific_dois(record, builder): + """ + Add dois to the record. + """ + for data_table in record["data_tables"]: + builder.add_doi(data_table["doi"], material="part") + for resource_with_doi in record["resources_with_doi"]: + builder.add_doi(resource_with_doi["doi"], material="part") + + builder.add_doi(record["record"]["hepdata_doi"], material="version") + + def add_keywords(record, builder): + """ + Add keywords to the record. + """ + for keyword, item in record.get("data_keywords", {}).items(): + if keyword == "cmenergies": + if len(item) > 1 and "lte" in item[0] and "gte" in item[0]: + builder.add_keyword( + f"{keyword}: {item[0]['lte']}-{item[0]['gte']}" + ) + elif keyword == "observables": + builder.add_keyword(f"{keyword}: {','.join(item)}") + else: + for value in item: + builder.add_keyword(value) + + builder = DataBuilder(source="hepdata") + + builder.add_creation_date(datetime.datetime.now(datetime.UTC).isoformat()) + + base_record = payload["base"] + + for collaboration in base_record["record"]["collaborations"]: + builder.add_collaboration(collaboration) + + builder.add_abstract(base_record["record"]["data_abstract"]) + + add_keywords(base_record["record"], builder) + + doi = base_record["record"].get("doi") + + if doi: + builder.add_literature( + doi={"value": doi}, + record={ + "$ref": f"https://inspirehep.net/api/literature/{base_record['record']['inspire_id']}" + }, + ) + else: + builder.add_literature( + record={ + "$ref": f"https://inspirehep.net/api/literature/{base_record['record']['inspire_id']}" + }, + ) + + for resource in base_record["record"]["resources"]: + if resource["url"].startswith( + "https://www.hepdata.net/record/resource/" + ): + continue + builder.add_url(resource["url"], description=resource["description"]) + + builder.add_title(base_record["record"]["title"]) + + builder.add_acquisition_source( + method="hepcrawl", + submission_number=base_record["record"]["inspire_id"], + datetime=datetime.datetime.now(datetime.UTC).isoformat(), + ) + + mtc = re.match(r"(.*?)\.v\d+", base_record["record"]["hepdata_doi"]) + if mtc: + builder.add_doi(doi=mtc.group(1), material="data") + else: + builder.add_doi( + doi=base_record["record"]["hepdata_doi"], material="data" + ) + + for _, record_version in payload.items(): + add_version_specific_dois(record_version, builder) + + data = builder.record + data["$schema"] = data_schema + return data + + @task + def load_record(new_record): + """ + Load the record to inspirehep. + """ + + try: + response = inspire_http_record_management_hook.get_record( + pid_type="doi", control_number=new_record["dois"][0]["value"] + ) + except RetryError: + logger.info("Creating Record") + post_response = inspire_http_record_management_hook.post_record( + data=new_record, pid_type="data" + ) + post_response.raise_for_status() + return post_response.json() + + old_record = response["metadata"] + revision_id = response.get("revision_id", 0) + old_record.update(new_record) + logger.info(f"Updating Record: {old_record['control_number']}") + response = inspire_http_record_management_hook.update_record( + data=old_record, + pid_type="data", + control_number=old_record["control_number"], + revision_id=revision_id + 1, + ) + return response.json() + + hepdata_record_versions = download_record_versions(record_id) + record = build_record(data_schema=data_schema, payload=hepdata_record_versions) + load_record(record) + + process_record.expand(record_id=collect_ids()) + + +data_harvest_dag() diff --git a/workflows/plugins/hooks/backoffice/base.py b/workflows/plugins/hooks/backoffice/base.py index 7a266e30f..008d73352 100644 --- a/workflows/plugins/hooks/backoffice/base.py +++ b/workflows/plugins/hooks/backoffice/base.py @@ -1,11 +1,8 @@ -import requests from airflow.models import Variable -from airflow.providers.http.hooks.http import HttpHook -from hooks.tenacity_config import tenacity_retry_kwargs -from requests import Response +from hooks.generic_http_hook import GenericHttpHook -class BackofficeHook(HttpHook): +class BackofficeHook(GenericHttpHook): """ A hook to update the status of a workflow in the backoffice system. @@ -28,33 +25,3 @@ def __init__( "Accept": "application/json", "Content-Type": "application/json", } - - @property - def tenacity_retry_kwargs(self) -> dict: - return tenacity_retry_kwargs() - - def run( - self, - endpoint: str, - method: str = None, - data: dict = None, - headers: dict = None, - params: dict = None, - extra_options: dict = None, - ) -> Response: - extra_options = extra_options or {} - headers = headers or self.headers - method = method or self.method - - session = self.get_conn(headers) - - if not self.base_url.endswith("/") and not endpoint.startswith("/"): - url = self.base_url + "/" + endpoint - else: - url = self.base_url + endpoint - - req = requests.Request(method, url, json=data, headers=headers, params=params) - - prepped_request = session.prepare_request(req) - self.log.info("Sending '%s' to url: %s", method, url) - return self.run_and_check(session, prepped_request, extra_options) diff --git a/workflows/plugins/hooks/generic_http_hook.py b/workflows/plugins/hooks/generic_http_hook.py new file mode 100644 index 000000000..c4ba29cc5 --- /dev/null +++ b/workflows/plugins/hooks/generic_http_hook.py @@ -0,0 +1,81 @@ +import logging + +import requests +from airflow.providers.http.hooks.http import HttpHook +from hooks.tenacity_config import tenacity_retry_kwargs +from requests import Response + +logger = logging.getLogger() + + +class GenericHttpHook(HttpHook): + """ + Hook to interact with Inspire API + It overrides the original `run` method in HttpHook so that + we can pass data argument as data, not params + """ + + def __init__(self, http_conn_id, method="GET", headers=None): + self._headers = headers + super().__init__(method=method, http_conn_id=http_conn_id) + + @property + def tenacity_retry_kwargs(self) -> dict: + return tenacity_retry_kwargs() + + @property + def headers(self) -> dict: + return self._headers + + @headers.setter + def headers(self, headers): + self._headers = headers + + def run( + self, + endpoint: str, + method: str = None, + json: dict = None, + data: dict = None, + params: dict = None, + headers: dict = None, + extra_options: dict = None, + ): + extra_options = extra_options or {} + method = method or self.method + headers = headers or self.headers + session = self.get_conn(headers) + + if not self.base_url.endswith("/") and not endpoint.startswith("/"): + url = self.base_url + "/" + endpoint + else: + url = self.base_url + endpoint + + req = requests.Request( + method, url, json=json, data=data, params=params, headers=headers + ) + + prepped_request = session.prepare_request(req) + self.log.info("Sending '%s' to url: %s", method, url) + return self.run_and_check(session, prepped_request, extra_options) + + def call_api( + self, + endpoint: str, + method: str = None, + data: dict = None, + params: dict = None, + headers: dict = None, + ) -> Response: + return self.run_with_advanced_retry( + _retry_args=self.tenacity_retry_kwargs, + endpoint=endpoint, + headers=headers, + json=data, + params=params, + method=method, + ) + + def get_url(self) -> str: + self.get_conn() + return self.base_url diff --git a/workflows/plugins/hooks/inspirehep/inspire_http_hook.py b/workflows/plugins/hooks/inspirehep/inspire_http_hook.py index b5ad6753b..7f085c1fe 100644 --- a/workflows/plugins/hooks/inspirehep/inspire_http_hook.py +++ b/workflows/plugins/hooks/inspirehep/inspire_http_hook.py @@ -1,10 +1,7 @@ import logging -import requests from airflow.models import Variable -from airflow.providers.http.hooks.http import HttpHook -from hooks.tenacity_config import tenacity_retry_kwargs -from requests import Response +from hooks.generic_http_hook import GenericHttpHook logger = logging.getLogger() @@ -14,7 +11,7 @@ AUTHOR_UPDATE_FUNCTIONAL_CATEGORY = "Author updates" -class InspireHttpHook(HttpHook): +class InspireHttpHook(GenericHttpHook): """ Hook to interact with Inspire API It overrides the original `run` method in HttpHook so that @@ -24,10 +21,6 @@ class InspireHttpHook(HttpHook): def __init__(self, method="GET", http_conn_id="inspire_connection"): super().__init__(method=method, http_conn_id=http_conn_id) - @property - def tenacity_retry_kwargs(self) -> dict: - return tenacity_retry_kwargs() - @property def headers(self) -> dict: return { @@ -35,47 +28,10 @@ def headers(self) -> dict: "Accept": "application/vnd+inspire.record.raw+json", } - def run( - self, - endpoint: str, - method: str = None, - json: dict = None, - data: dict = None, - headers: dict = None, - extra_options: dict = None, - ): - extra_options = extra_options or {} - method = method or self.method - session = self.get_conn(headers) - - if not self.base_url.endswith("/") and not endpoint.startswith("/"): - url = self.base_url + "/" + endpoint - else: - url = self.base_url + endpoint - - req = requests.Request(method, url, json=json, data=data, headers=headers) - - prepped_request = session.prepare_request(req) - self.log.info("Sending '%s' to url: %s", method, url) - return self.run_and_check(session, prepped_request, extra_options) - - def call_api(self, method: str, endpoint: str, data: dict) -> Response: - return self.run_with_advanced_retry( - _retry_args=self.tenacity_retry_kwargs, - endpoint=endpoint, - headers=self.headers, - json=data, - method=method, - ) - def get_backoffice_url(self, workflow_id: str) -> str: self.get_conn() return f"{self.base_url}/backoffice/{workflow_id}" - def get_url(self) -> str: - self.get_conn() - return self.base_url - def create_ticket( self, functional_category, template_name, subject, email, template_context ): @@ -120,6 +76,5 @@ def close_ticket(self, ticket_id, template=None, template_context=None): ) logging.info(f"Closing ticket {ticket_id}") - print(request_data) return self.call_api(endpoint=endpoint, data=request_data, method="POST") diff --git a/workflows/requirements.txt b/workflows/requirements.txt index ea9e0f043..b561cb849 100644 --- a/workflows/requirements.txt +++ b/workflows/requirements.txt @@ -1 +1,2 @@ apache-airflow==2.9.3 +inspire_utils==3.0.61 diff --git a/workflows/scripts/connections/connections.json b/workflows/scripts/connections/connections.json index c50099f54..8c3de7d40 100644 --- a/workflows/scripts/connections/connections.json +++ b/workflows/scripts/connections/connections.json @@ -4,7 +4,17 @@ "description": "", "login": "", "password": null, - "host": "https://inspirebeta.net", + "host": "http://host.docker.internal:8080", + "port": null, + "schema": "", + "extra": "" + }, + "hepdata_connection": { + "conn_type": "http", + "description": "Used for data harvesting", + "login": "", + "password": null, + "host": "https://www.hepdata.net", "port": null, "schema": "", "extra": "" diff --git a/workflows/scripts/variables/variables.json b/workflows/scripts/variables/variables.json index 1e3d9ea5e..330b868bb 100644 --- a/workflows/scripts/variables/variables.json +++ b/workflows/scripts/variables/variables.json @@ -1,5 +1,6 @@ { "backoffice_token": "2e04111a61e8f5ba6ecec52af21bbb9e81732085", "inspire_token": "CHANGE_ME", - "author_schema": "https://inspirehep.net/schemas/records/authors.json" + "author_schema": "https://inspirehep.net/schemas/records/authors.json", + "data_schema": "https://inspirehep.net/schemas/records/data.json" } diff --git a/workflows/tests/cassettes/TestDataHarvest.test_collect_ids.yaml b/workflows/tests/cassettes/TestDataHarvest.test_collect_ids.yaml new file mode 100644 index 000000000..85e2cec96 --- /dev/null +++ b/workflows/tests/cassettes/TestDataHarvest.test_collect_ids.yaml @@ -0,0 +1,61 @@ +interactions: +- request: + body: null + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + method: GET + uri: https://www.hepdata.net/search/ids?inspire_ids=True&last_updated=2024-12-03&sort_by=latest + response: + body: + string: '[2851948,2724476,2851464,2829504,2854935] + + ' + headers: + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443";ma=60; + content-length: + - '42' + content-type: + - application/json + date: + - Wed, 04 Dec 2024 14:48:50 GMT + permissions-policy: + - interest-cohort=() + referrer-policy: + - strict-origin-when-cross-origin + retry-after: + - '60' + server: + - gunicorn + set-cookie: + - session=18a822cb24f2d645_67506bd2.kuoc4LMvb3nxwQQWZf17eiuEDAs; Domain=.www.hepdata.net; + Expires=Thu, 05 Dec 2024 02:48:50 GMT; HttpOnly; Path=/; SameSite=Lax + transfer-encoding: + - chunked + vary: + - Accept-Encoding + x-content-type-options: + - nosniff + x-frame-options: + - sameorigin + x-proxy-backend: + - hepdata-prod_hepdata-web_http + x-ratelimit-limit: + - '60' + x-ratelimit-remaining: + - '59' + x-ratelimit-reset: + - '1733323791' + x-xss-protection: + - 1; mode=block + status: + code: 200 + message: OK +version: 1 diff --git a/workflows/tests/cassettes/TestDataHarvest.test_download_record.yaml b/workflows/tests/cassettes/TestDataHarvest.test_download_record.yaml new file mode 100644 index 000000000..eb5a3beab --- /dev/null +++ b/workflows/tests/cassettes/TestDataHarvest.test_download_record.yaml @@ -0,0 +1,224 @@ +interactions: +- request: + body: null + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + method: GET + uri: https://www.hepdata.net/record/ins2851948?format=json + response: + body: + string: '{"access_count":{"sum":164},"additional_resources":true,"breadcrumb_text":"Aad, + Georges et al.","coordinator":1265,"data_tables":[{"data":{"csv":"https://www.hepdata.net/download/table/ins2851948/Angularity + distribution/csv","json":"https://www.hepdata.net/download/table/ins2851948/Angularity + distribution/json","root":"https://www.hepdata.net/download/table/ins2851948/Angularity + distribution/root","yaml":"https://www.hepdata.net/download/table/ins2851948/Angularity + distribution/yaml","yoda":"https://www.hepdata.net/download/table/ins2851948/Angularity + distribution/yoda","yoda1":"https://www.hepdata.net/download/table/ins2851948/Angularity + distribution/yoda1"},"description":"The angularity, for data, background (pre- + and post-reweighting) and three $H\\rightarrow Za$ signal hypotheses (for + $a\\rightarrow q\\bar{q}/gg$ inclusively). Events are...","doi":"10.17182/hepdata.153859.v1/t1","id":1718733,"location":"Data + from Figure 1a","messages":false,"name":"Angularity distribution","processed_name":"Angularitydistribution","resources":[{"description":"Image + file","type":"png","url":"https://www.hepdata.net/record/resource/3760905?landing_page=true"},{"description":"Thumbnail + image file","type":"png","url":"https://www.hepdata.net/record/resource/3760906?landing_page=true"}]},{"data":{"csv":"https://www.hepdata.net/download/table/ins2851948/Modified + energy correlation function/csv","json":"https://www.hepdata.net/download/table/ins2851948/Modified + energy correlation function/json","root":"https://www.hepdata.net/download/table/ins2851948/Modified + energy correlation function/root","yaml":"https://www.hepdata.net/download/table/ins2851948/Modified + energy correlation function/yaml","yoda":"https://www.hepdata.net/download/table/ins2851948/Modified + energy correlation function/yoda","yoda1":"https://www.hepdata.net/download/table/ins2851948/Modified + energy correlation function/yoda1"},"description":"The modified energy correlation + function, for data, background (pre- and post-reweighting) and three $H\\rightarrow + Za$ signal hypotheses (for $a\\rightarrow q\\bar{q}/gg$...","doi":"10.17182/hepdata.153859.v1/t2","id":1718734,"location":"Data + from Figure 1b","messages":false,"name":"Modified energy correlation function","processed_name":"Modifiedenergycorrelationfunction","resources":[{"description":"Image + file","type":"png","url":"https://www.hepdata.net/record/resource/3760908?landing_page=true"},{"description":"Thumbnail + image file","type":"png","url":"https://www.hepdata.net/record/resource/3760909?landing_page=true"}]},{"data":{"csv":"https://www.hepdata.net/download/table/ins2851948/Z + boson transverse momentum/csv","json":"https://www.hepdata.net/download/table/ins2851948/Z + boson transverse momentum/json","root":"https://www.hepdata.net/download/table/ins2851948/Z + boson transverse momentum/root","yaml":"https://www.hepdata.net/download/table/ins2851948/Z + boson transverse momentum/yaml","yoda":"https://www.hepdata.net/download/table/ins2851948/Z + boson transverse momentum/yoda","yoda1":"https://www.hepdata.net/download/table/ins2851948/Z + boson transverse momentum/yoda1"},"description":"$Z$ boson transverse momentum, + for data, background (pre- and post-reweighting) and three $H\\rightarrow + Za$ signal hypotheses (for $a\\rightarrow q\\bar{q}/gg$ inclusively)....","doi":"10.17182/hepdata.153859.v1/t3","id":1718735,"location":"Data + from Figure 1c","messages":false,"name":"Z boson transverse momentum","processed_name":"Zbosontransversemomentum","resources":[{"description":"Image + file","type":"png","url":"https://www.hepdata.net/record/resource/3760911?landing_page=true"},{"description":"Thumbnail + image file","type":"png","url":"https://www.hepdata.net/record/resource/3760912?landing_page=true"}]},{"data":{"csv":"https://www.hepdata.net/download/table/ins2851948/Invariant + mass of the dilepton+jet system/csv","json":"https://www.hepdata.net/download/table/ins2851948/Invariant + mass of the dilepton+jet system/json","root":"https://www.hepdata.net/download/table/ins2851948/Invariant + mass of the dilepton+jet system/root","yaml":"https://www.hepdata.net/download/table/ins2851948/Invariant + mass of the dilepton+jet system/yaml","yoda":"https://www.hepdata.net/download/table/ins2851948/Invariant + mass of the dilepton+jet system/yoda","yoda1":"https://www.hepdata.net/download/table/ins2851948/Invariant + mass of the dilepton+jet system/yoda1"},"description":"Invariant mass of the + lepton pair plus jet system, for data, background (pre- and post-reweighting) + and three $H\\rightarrow Za$ signal...","doi":"10.17182/hepdata.153859.v1/t4","id":1718736,"location":"Data + from Figure 1d","messages":false,"name":"Invariant mass of the dilepton+jet + system","processed_name":"Invariantmassofthedilepton+jetsystem","resources":[{"description":"Image + file","type":"png","url":"https://www.hepdata.net/record/resource/3760914?landing_page=true"},{"description":"Thumbnail + image file","type":"png","url":"https://www.hepdata.net/record/resource/3760915?landing_page=true"}]},{"data":{"csv":"https://www.hepdata.net/download/table/ins2851948/Predicted + mass/csv","json":"https://www.hepdata.net/download/table/ins2851948/Predicted + mass/json","root":"https://www.hepdata.net/download/table/ins2851948/Predicted + mass/root","yaml":"https://www.hepdata.net/download/table/ins2851948/Predicted + mass/yaml","yoda":"https://www.hepdata.net/download/table/ins2851948/Predicted + mass/yoda","yoda1":"https://www.hepdata.net/download/table/ins2851948/Predicted + mass/yoda1"},"description":"Regression NN output variable, for data, reweighted + background, and three $H\\rightarrow Za$ signal hypotheses ($a\\rightarrow + q\\bar{q}/gg$ inclusively). 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proton-proton collisions recorded by the ATLAS detector during Run~2 + of the LHC. Leptonic decays of the $Z$ boson and hadronic decays of the light + resonance are considered. The resonance can be interpreted as a $J/\\psi$ + or $\\eta_c$ meson, an axion-like particle, or a light pseudoscalar in two-Higgs-doublet + models. Due to its low mass, it would be produced with high boost and reconstructed + as a single small-radius jet of hadrons. A neural network is used to correct + the Monte Carlo simulation of the background in a data-driven way. Two additional + neural networks are used to distinguish signal from background. A binned profile-likelihood + fit is performed on the final-state invariant mass distribution. No significant + excess of events relative to the expected background is observed, and upper + limits at 95% confidence level are set on the Higgs boson''s branching fraction + to a $Z$ boson and a light resonance. The exclusion limit is 10% for the lower + masses, and increases for higher masses. Upper limits on the effective coupling + $C^\\text{eff}_{ZH}/\\Lambda$ of an axion-like particle to a Higgs boson and + $Z$ boson are also set at 95% confidence level, and range from 0.9 to 2 TeV$^{-1}$.","access_urls":{"links":{"csv":"https://www.hepdata.net/download/submission/ins2851948/1/csv","json":"https://www.hepdata.net/download/submission/ins2851948/1/json","root":"https://www.hepdata.net/download/submission/ins2851948/1/root","yaml":"https://www.hepdata.net/download/submission/ins2851948/1/yaml","yoda":"https://www.hepdata.net/download/submission/ins2851948/1/yoda"}},"analyses":[],"arxiv_id":"arXiv:2411.16361","collaborations":["ATLAS"],"control_number":"153859","creation_date":"2024-11-25","data_abstract":"A + search for decays of the Higgs boson into a $Z$ boson and a light resonance, + with a mass of 0.5-4 GeV, is performed using the full 140 fb$^{-1}$ dataset + of 13 TeV proton-proton collisions recorded by the ATLAS detector during Run + 2 of the LHC. Leptonic decays of the $Z$ boson and hadronic decays of the + light resonance are considered. The resonance can be interpreted as a $J/\\psi$ + or $\\eta_c$ meson, an axion-like particle, or a light pseudoscalar in two-Higgs-doublet + models. Due to its low mass, it would be produced with high boost and reconstructed + as a single small-radius jet of hadrons. A neural network is used to correct + the Monte Carlo simulation of the background in a data-driven way. Two additional + neural networks are used to distinguish signal from background. A binned profile-likelihood + fit is performed on the final-state invariant mass distribution. Since no + significant excess of events relative to the expected background is observed, + 95% CL upper limits are set on the Higgs boson''s branching fraction to a + $Z$ boson and a light resonance.","data_keywords":{"cmenergies":[{"gte":13000.0,"lte":13000.0}],"observables":["$m_{llj}$","Regression + NN output","CLS","Classification NN output","Angularity_{tracks}(0.2)","$p_{T_Z}$","M_{2, + tracks}(0.3)"],"phrases":["2HDM(+S)","Higgs boson"],"reactions":["p p ---> + H ---> Z a"]},"doc_type":"publication","doi":null,"first_author":{"affiliation":"Marseille, + CPPM","full_name":"Aad, Georges"},"hepdata_doi":"10.17182/hepdata.153859","id":153859,"inspire_id":"2851948","journal_info":"CERN-EP-2024-261","keywords":[],"last_updated":"Wed, + 04 Dec 2024 13:04:31 GMT","parent_child_join":{"name":"parent_publication"},"publication_date":"2024-12-04T00:00:00","recid":153859,"resources":[{"description":"Created + with hepdata_lib 0.16.0","type":"zenodo","url":"https://doi.org/10.5281/zenodo.1217998"}],"subject_area":["hep-ex"],"summary_authors":[{"affiliation":"Marseille, + CPPM","full_name":"Aad, Georges"},{"affiliation":"Bergen U.","full_name":"Aakvaag, + Erlend"},{"affiliation":"Oklahoma U.","full_name":"Abbott, Braden Keim"},{"affiliation":"New + York U., Abu Dhabi","full_name":"Abdelhameed, Sara"},{"affiliation":"Gottingen + U., II. 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Fully-hadronic final states are studied to exploit + the advantage of the large branching ratio, and the efficient background rejection + by identifying the high-$p_{\\text{T}}$ bosons using large-radius jets and + jet substructure information. An integrated luminosity of 139 fb$^{-1}$ of + proton-proton collision data collected by the ATLAS detector at a center-of-mass + energy of 13 TeV is used. No significant excess is found beyond the Standard + Model expectation. The 95% confidence level exclusion limits are set on wino + or higgsino production with varying assumptions in the decay branching ratios + and the type of the lightest supersymmetric particle. A wino (higgsino) mass + up to 1060 (900) GeV is excluded when the lightest SUSY particle mass is below + 400 (240) GeV and the mass splitting is larger than 400 (450) GeV. 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Georges"},{"affiliation":"Oklahoma U.","full_name":"Abbott, Braden Keim"},{"affiliation":"Massachusetts U., Amherst","full_name":"Abbott, Dale"},{"affiliation":"CERN","full_name":"Abed Abud, Adam"},{"affiliation":"Gottingen U., II. Phys. Inst.","full_name":"Abeling, Kira"},{"affiliation":"Royal Holloway, U. of London","full_name":"Abhayasinghe, Deshan Kavishka"},{"affiliation":"Brookhaven","full_name":"Abidi, Haider"},{"affiliation":"Tel Aviv U.","full_name":"Abramowicz, Halina"},{"affiliation":"Technion","full_name":"Abreu, Henso"},{"affiliation":"Argonne","full_name":"Abulaiti, Yiming"}],"title":"Search for charginos and neutralinos in final states with two boosted hadronically decaying bosons and missing transverse momentum in $pp$ collisions at $\\sqrt{s}=13$ TeV with the ATLAS detector","type":["article"],"uuid":"e06d0d13-c307-4ff4-a790-2e4295172b59","version":3,"year":"2021"},"record_type":"publication","related_recids":[],"related_to_this_recids":[],"resources_with_doi":[{"description":"Analysis code at truth label using SimpleAnalysis framework without boson tagging efficiency due to lack of jet substructure variables","doi":"10.17182/hepdata.104458.v3/r1","filename":"ANA-SUSY-2018-41.cxx"},{"description":"SHLA file for $(\\tilde{W},~\\tilde{B})$-SIM model (C1C1-WW)","doi":"10.17182/hepdata.104458.v3/r2","filename":"susy_params_C1C1_WW_700_100.slha"},{"description":"SHLA file for $(\\tilde{W},~\\tilde{B})$-SIM model (C1N2-WZ)","doi":"10.17182/hepdata.104458.v3/r3","filename":"susy_params_C1N2_WZ_900_100.slha"},{"description":"SHLA file for $(\\tilde{W},~\\tilde{B})$-SIM model (C1N2-Wh)","doi":"10.17182/hepdata.104458.v3/r4","filename":"susy_params_C1N2_Wh_900_100.slha"},{"description":"SHLA file for GGM-Higgsino model","doi":"10.17182/hepdata.104458.v3/r5","filename":"susy_params_GGMHino_C1N2N1_800.slha"},{"description":"SHLA file for N2N3-ZZ hinoBino simplified model","doi":"10.17182/hepdata.104458.v3/r6","filename":"susy_params_N2N3_ZZ_800_100.slha"},{"description":"SHLA file for N2N3-Zh hinoBino simplified model","doi":"10.17182/hepdata.104458.v3/r7","filename":"susy_params_N2N3_Zh_800_100.slha"},{"description":"SHLA file for N2N3-hh hinoBino simplified model","doi":"10.17182/hepdata.104458.v3/r8","filename":"susy_params_N2N3_hh_800_100.slha"},{"description":"HistFactory likelihoods JSON files","doi":"10.17182/hepdata.104458.v3/r9","filename":"FullLikelihood_forHEPData.tar"}],"reviewers_notified":false,"revision_message":{"message":"Added CRs to likelihoods","version":3},"site_url":"https://www.hepdata.net","status":"finished","table_id_to_show":1583811,"table_name_to_show":"Table of contents","version":3,"version_count":3,"watched":false} diff --git a/workflows/tests/test_data_tasks.py b/workflows/tests/test_data_tasks.py new file mode 100644 index 000000000..901b0eb22 --- /dev/null +++ b/workflows/tests/test_data_tasks.py @@ -0,0 +1,104 @@ +import json + +import pytest +from airflow.models import DagBag +from airflow.utils.context import Context + +dagbag = DagBag() + + +class TestDataHarvest: + print("holup partner") + print(dagbag.dags.keys()) + dag = dagbag.get_dag("data_harvest_dag") + context = Context() + + @pytest.mark.vcr + def test_collect_ids(self): + task = self.dag.get_task("collect_ids") + res = task.execute(context=self.context) + assert res == [2851948, 2724476, 2851464, 2829504, 2854935] + + @pytest.mark.vcr + def test_download_record_versions(self): + id = "1906174" + task = self.dag.get_task("process_record.download_record_versions") + task.op_args = (id,) + res = task.execute(context=self.context) + assert res["base"]["record"]["inspire_id"] == id + assert res["base"]["record"]["version"] == 3 + assert all(value in res for value in [1, 2]) + + def test_build_record(self): + payload = {} + with open("tests/data_records/ins1906174_version1.json") as f: + payload[1] = json.load(f) + with open("tests/data_records/ins1906174_version2.json") as f: + payload[2] = json.load(f) + with open("tests/data_records/ins1906174_version3.json") as f: + payload["base"] = json.load(f) + + task = self.dag.get_task("process_record.build_record") + task.op_kwargs = {"data_schema": "data_schema", "payload": payload} + res = task.execute(context=self.context) + assert res["$schema"] == "data_schema" + assert res["_collections"] == ["Data"] + + assert res["keywords"][0]["value"] == "cmenergies: 13000.0-13000.0" + assert res["keywords"][1]["value"] == "observables: m_MMC" + + assert ( + res["urls"][0]["value"] == payload["base"]["record"]["resources"][0]["url"] + ) + assert ( + res["literature"][0]["record"]["$ref"] + == "https://inspirehep.net/literature/1906174" + ) + + assert res["dois"][0]["value"] == "10.17182/hepdata.104458" + assert res["dois"][0]["material"] == "data" + + # check version doi was added + assert any( + doi["material"] == "version" + and doi["value"] == "10.17182/hepdata.104458.v2" + for doi in res["dois"] + ) + # check resource doi was added + assert any( + doi["material"] == "part" + and doi["value"] == "10.17182/hepdata.104458.v1/r2" + for doi in res["dois"] + ) + # check data table doi was added + assert any( + doi["material"] == "part" + and doi["value"] == "10.17182/hepdata.104458.v3/t50" + for doi in res["dois"] + ) + + @pytest.mark.vcr + def test_load_record_put(self): + record = { + "_collections": ["Data"], + "$schema": "https://inspirehep.net/schemas/records/data.json", + "dois": [{"value": "10.8756/tTM", "material": "data"}], + } + print(dagbag.dags.keys()) + print(self.dag) + task = self.dag.get_task("process_record.load_record") + task.op_args = (record,) + json_response = task.execute(context=self.context) + assert json_response + + @pytest.mark.vcr + def test_load_record_post(self): + record = { + "_collections": ["Data"], + "$schema": "https://inspirehep.net/schemas/records/data.json", + "dois": [{"value": "10.1234567/test", "material": "data"}], + } + task = self.dag.get_task("process_record.load_record") + task.op_args = (record,) + json_response = task.execute(context=self.context) + assert json_response