diff --git a/api/Pipfile b/api/Pipfile index 32f76712e..f768bea27 100644 --- a/api/Pipfile +++ b/api/Pipfile @@ -56,6 +56,7 @@ pytest-django = "*" pytest-bdd = "*" pytest-mock = "*" django-stubs = "*" +pandas = "*" [requires] python_version = "3.11" diff --git a/api/Pipfile.lock b/api/Pipfile.lock index 10244d464..b8bec8d28 100644 --- a/api/Pipfile.lock +++ b/api/Pipfile.lock @@ -1,7 +1,7 @@ { "_meta": { "hash": { - "sha256": "4321097433bb7a9bad05a6542777feddbfbb4c9ea7f64f93832e123c0f423a8d" + "sha256": "282c4645611891ba434e5e861e53d8fc9f45fb155188c56766335dfe266d02fa" }, "pipfile-spec": 6, "requires": { @@ -26,85 +26,85 @@ }, "aiohttp": { "hashes": [ - "sha256:017a21b0df49039c8f46ca0971b3a7fdc1f56741ab1240cb90ca408049766168", - "sha256:039df344b45ae0b34ac885ab5b53940b174530d4dd8a14ed8b0e2155b9dddccb", - "sha256:055ce4f74b82551678291473f66dc9fb9048a50d8324278751926ff0ae7715e5", - "sha256:06a9b2c8837d9a94fae16c6223acc14b4dfdff216ab9b7202e07a9a09541168f", - 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"python_version >= '3.7'", - "version": "==20.25.1" + "version": "==20.26.1" } } } diff --git a/api/ceramic_cache/api/v1.py b/api/ceramic_cache/api/v1.py index 2e6b4b9f0..a44825a18 100644 --- a/api/ceramic_cache/api/v1.py +++ b/api/ceramic_cache/api/v1.py @@ -31,7 +31,7 @@ ) from registry.models import Score from stake.api import handle_get_gtc_stake -from stake.schema import StakeSchema, GetSchemaResponse +from stake.schema import GetSchemaResponse from ..exceptions import ( InternalServerException, @@ -534,12 +534,11 @@ def get_detailed_score_response_for_address( ) def get_staked_gtc(request) -> GetSchemaResponse: address = get_address_from_did(request.did) - get_stake_response = handle_get_gtc_stake(address) + get_stake_response = handle_get_gtc_stake(address) response = GetSchemaResponse(items=get_stake_response) return response - @router.get( "/tos/accepted/{str:tos_type}/{str:address}", auth=JWTDidAuth(), @@ -575,5 +574,7 @@ def get_tos_to_sign(request, tos_type: str, address: str) -> tos.schema.TosToSig }, summary="Accept the tos", ) -def accept_tos(request, payload: tos.schema.TosSigned) -> None: +def accept_tos( + request, tos_type: str, address: str, payload: tos.schema.TosSigned +) -> None: tos.api.accept_tos(payload) diff --git a/api/ceramic_cache/management/commands/scorer_dump_data_parquet_for_oso.py b/api/ceramic_cache/management/commands/scorer_dump_data_parquet_for_oso.py new file mode 100644 index 000000000..7157c5cfe --- /dev/null +++ b/api/ceramic_cache/management/commands/scorer_dump_data_parquet_for_oso.py @@ -0,0 +1,153 @@ +import os.path +import traceback +from contextlib import contextmanager +from datetime import datetime, timezone +from urllib.parse import urlparse + +import pyarrow as pa +import pyarrow.parquet as pq +from django.conf import settings +from django.core.management.base import BaseCommand +from django.db import DEFAULT_DB_ALIAS +from django.db.models.functions import Lower +from registry.models import Score +from scorer.export_utils import export_data_for_model, upload_to_s3 + + +def get_pa_schema(): + schema = pa.schema( + [ + ("passport_address", pa.string()), + ("last_score_timestamp", pa.timestamp("us")), # us stands for microsecond + ("evidence_rawScore", pa.string()), + ("evidence_threshold", pa.string()), + ( + "provider_scores", + pa.list_( + pa.struct( + [ + pa.field("provider", pa.string()), + pa.field("score", pa.string()), + ] + ) + ), + ), # stamp_scores + ] + ) + return schema + + +@contextmanager +def writer_context_manager(model, filename=None): + table_name = model._meta.db_table + output_file = f"{table_name}.parquet" if not filename else filename + schema = get_pa_schema() + try: + with pq.ParquetWriter(output_file, schema) as writer: + + class WriterWrapper: + def __init__(self, writer): + self.writer = writer + + def write_batch(self, data): + # Transform the data to match the parquet structure + transformed_data = [ + { + "passport_address": d["passport_address"], + "last_score_timestamp": d["last_score_timestamp"], + "evidence_rawScore": d["evidence"]["rawScore"], + "evidence_threshold": d["evidence"]["threshold"], + "provider_scores": [ + {"provider": k, "score": str(v)} + for k, v in d["stamp_scores"].items() + ], + } + for d in data + ] + + batch = pa.RecordBatch.from_pylist(transformed_data, schema=schema) + self.writer.write_batch(batch) + + yield WriterWrapper(writer) + finally: + pass + + +class Command(BaseCommand): + help = "Export data from a django model to a parquet file" + + def add_arguments(self, parser): + parser.add_argument( + "--batch-size", + type=int, + default=1000, + help="""Size of record batches. + If present, this will read the records in batches. The result list is ordered by pk (id), to get + to the next batch we query by id__gt=last_id. + """, + ) + parser.add_argument( + "--database", + default=DEFAULT_DB_ALIAS, + help="Nominates a specific database to dump fixtures from. " + 'Defaults to the "default" database.', + ) + parser.add_argument( + "--s3-uri", type=str, help="The S3 URI target location for the files" + ) + parser.add_argument("--filename", type=str, help="The filename to create") + + def handle(self, *args, **options): + self.batch_size = options["batch_size"] + self.database = options["database"] + self.s3_uri = options["s3_uri"] + self.filename = options["filename"] + + # Get the bucket name and folder from the S3 uri + parsed_uri = urlparse(self.s3_uri) + s3_bucket_name = parsed_uri.netloc + s3_folder = parsed_uri.path.strip("/") + + # Append a sub-folder to th epath that consists of the current date + now = datetime.now(timezone.utc) + daily_folder_name = now.isoformat().split("T")[0] + s3_folder = os.path.join(s3_folder, daily_folder_name) + + self.stdout.write("EXPORT - START export data for Score") + try: + export_data_for_model( + # We only want to export for the default scorer + Score.objects.filter( + passport__community__id=settings.CERAMIC_CACHE_SCORER_ID + ) + .select_related("passport") + .annotate( # This is basically just a trick to get the `address` form the related `passport` into the values() output ... + passport_address=Lower("passport__address") + ) + .using(self.database), + "id", + self.batch_size, + writer_context_manager, + jsonfields_as_str=False, + extra_writer_args={"filename": self.filename}, + ) + + self.stdout.write( + self.style.SUCCESS(f"EXPORT - Data exported to '{self.filename}'") + ) + + upload_to_s3(self.filename, s3_folder, s3_bucket_name, {}) + + self.stdout.write( + self.style.SUCCESS( + f"EXPORT - Data uploaded to folder '{s3_folder}' in bucket '{s3_bucket_name}'" + ) + ) + + except Exception as e: + self.stdout.write( + self.style.ERROR(f"EXPORT - Error when exporting data '{e}'") + ) + self.stdout.write(self.style.ERROR(traceback.format_exc())) + + self.stdout.write("EXPORT - END export data for Score") diff --git a/api/ceramic_cache/test/test_cmd_scorer_dump_data_parquet_for_oso.py b/api/ceramic_cache/test/test_cmd_scorer_dump_data_parquet_for_oso.py new file mode 100644 index 000000000..ec98be910 --- /dev/null +++ b/api/ceramic_cache/test/test_cmd_scorer_dump_data_parquet_for_oso.py @@ -0,0 +1,139 @@ +import shutil +from datetime import datetime, timezone + +import pytest +from account.models import Community +from django.core.management import call_command +from registry.models import Passport, Score +from scorer_weighted.models import BinaryWeightedScorer, Scorer +from django.conf import settings +import pyarrow.parquet as pq + + +class TestGetStamps: + @pytest.mark.django_db + def test_export_filtered_scored_for_scorer(self, scorer_account, mocker): + """Make sure that it is not possible to have duplicate stamps in the DB""" + + scorer = BinaryWeightedScorer.objects.create(type=Scorer.Type.WEIGHTED_BINARY) + + ############################################################### + # Create community 1 and some scores for that community + ############################################################### + community_1 = Community.objects.create( + name="Community 1", + description="Community 1 - testing", + account=scorer_account, + scorer=scorer, + ) + + for i in range(5): + p = Passport.objects.create(address=f"0x{i}", community=community_1) + Score.objects.create( + passport=p, + score=10, + last_score_timestamp=datetime.now(timezone.utc), + status=Score.Status.DONE, + evidence={"rawScore": "12.23", "threshold": "20.0"}, + stamp_scores={"provider-1": 1, "provider-2": 2}, + ) + + ############################################################### + # Create community 2 and some scores for that community + ############################################################### + community_2 = Community.objects.create( + name="Community 2", + description="Community 2 - testing", + account=scorer_account, + scorer=scorer, + ) + + settings.CERAMIC_CACHE_SCORER_ID = community_2.pk + + expected_results = [] + for i in range(5): + p = Passport.objects.create(address=f"0x{i}", community=community_2) + score = Score.objects.create( + passport=p, + score=10, + last_score_timestamp=datetime.now(timezone.utc), + status=Score.Status.DONE, + evidence={"rawScore": "12.23", "threshold": "20.0"}, + stamp_scores={"provider-1": 1, "provider-2": 2}, + ) + expected_results.append( + { + "passport_address": p.address, + "last_score_timestamp": score.last_score_timestamp.replace( + tzinfo=None + ), + "evidence_rawScore": score.evidence["rawScore"], + "evidence_threshold": score.evidence["threshold"], + "provider_scores": [ + {"provider": k, "score": str(v)} + for k, v in score.stamp_scores.items() + ], + } + ) + + mocked_upload_to_s3_call_args = [] + + def mocked_upload_to_s3(output_file, _s3_folder, _s3_bucket_name, _extra_args): + copy_file_name = f"cpy_{output_file}" + mocked_upload_to_s3_call_args.append( + { + "file_path": copy_file_name, + "s3_folder": _s3_folder, + "s3_bucket_name": _s3_bucket_name, + "extra_args": _extra_args, + } + ) + shutil.copy(output_file, copy_file_name) + + mocker.patch( + "ceramic_cache.management.commands.scorer_dump_data_parquet_for_oso.upload_to_s3", + side_effect=mocked_upload_to_s3, + ) + call_command( + "scorer_dump_data_parquet_for_oso", + *[], + **{ + "filename": "my_scores.parquet", + "s3_uri": "s3://some_bucket/some_path/", + }, + ) + + assert mocked_upload_to_s3_call_args[0]["file_path"] == "cpy_my_scores.parquet" + assert ( + mocked_upload_to_s3_call_args[0]["s3_folder"] + == "some_path/" + datetime.now(timezone.utc).isoformat().split("T")[0] + ) + assert mocked_upload_to_s3_call_args[0]["s3_bucket_name"] == "some_bucket" + assert mocked_upload_to_s3_call_args[0]["extra_args"] == {} + + # Check the content of the parquet file + # Load the Parquet file + table = pq.read_table(mocked_upload_to_s3_call_args[0]["file_path"]) + + # Convert to Pandas DataFrame + df = table.to_pandas() + + # Check the dataframe + assert [ + "passport_address", + "last_score_timestamp", + "evidence_rawScore", + "evidence_threshold", + "provider_scores", + ] == list(df.columns) + assert df.shape == (5, 5) + for idx, (_, r) in enumerate(df.iterrows()): + print(f"Row: {r}") + assert expected_results[idx]["passport_address"] == r.iloc[0] + assert ( + expected_results[idx]["last_score_timestamp"] + == r.iloc[1].to_pydatetime() + ) + assert expected_results[idx]["evidence_rawScore"] == r.iloc[2] + assert expected_results[idx]["evidence_threshold"] == r.iloc[3] + assert expected_results[idx]["provider_scores"] == list(r.iloc[4]) diff --git a/api/scorer/export_utils.py b/api/scorer/export_utils.py index 387c07870..447971c98 100644 --- a/api/scorer/export_utils.py +++ b/api/scorer/export_utils.py @@ -2,7 +2,6 @@ from contextlib import contextmanager from logging import getLogger - import boto3 import pyarrow as pa import pyarrow.parquet as pq @@ -74,7 +73,12 @@ def get_data_json_as_str(last_id, queryset, sort_field, batch_size): def export_data_for_model( - queryset, sort_field, batch_size, writer_context_manager, jsonfields_as_str=True + queryset, + sort_field, + batch_size, + writer_context_manager, + jsonfields_as_str=True, + extra_writer_args={}, ): data = ( get_data_json_as_str(None, queryset, sort_field, batch_size) @@ -93,7 +97,7 @@ def export_data_for_model( ) as progress_bar: if data is not None: progress_bar.update(len(data)) - with writer_context_manager(model) as writer: + with writer_context_manager(model, **extra_writer_args) as writer: writer.write_batch(data) has_more = len(data) > 0 diff --git a/infra/aws/index.ts b/infra/aws/index.ts index be9f6d1ee..cb3f79e7b 100644 --- a/infra/aws/index.ts +++ b/infra/aws/index.ts @@ -999,6 +999,33 @@ export const dailyDataDumpTaskDefinitionParquet = createScheduledTask( envConfig ); +/* + * Exporting score data for OSO + */ +export const dailyScoreExportForOSO = createScheduledTask( + "daily-score-export-for-oso", + { + ...baseScorerServiceConfig, + securityGroup: secgrp, + command: [ + "python", + "manage.py", + "scorer_dump_data_parquet_for_oso", + "--s3-uri=s3://oso-dataset-transfer-bucket/passport/", + "--filename=scores.parquet", + "--database=read_replica_0", + ].join(" "), + scheduleExpression: "cron(30 0 ? * * *)", // Run the task daily at 00:30 UTC + alertTopic: pagerdutyTopic, + }, + envConfig, + { + aws_access_key_id: `${SCORER_SERVER_SSM_ARN}:OSO_EXPORT_AWS_ACCESS_KEY_ID::`, + aws_secret_access_key: `${SCORER_SERVER_SSM_ARN}:OSO_EXPORT_AWS_SECRET_ACCESS_KEY::`, + aws_endpoint_url: `${SCORER_SERVER_SSM_ARN}:OSO_EXPORT_AWS_ENDPOINT_URL::`, + } +); + // The follosing scorer dumps the Allo scorer scores to a public S3 bucket // for the Allo team to easily pull the data export const frequentAlloScorerDataDumpTaskDefinition = createScheduledTask( diff --git a/infra/lib/scorer/new_service.ts b/infra/lib/scorer/new_service.ts index 34dafcdfd..a61908795 100644 --- a/infra/lib/scorer/new_service.ts +++ b/infra/lib/scorer/new_service.ts @@ -49,7 +49,15 @@ export type ScorerEnvironmentConfig = { passportPublicUrl?: Input; }; -export const secrets = [ +export type Secret = { name: string; valueFrom: Input }; + +export type SecretsConfig = { + aws_access_key_id: Input; + aws_secret_access_key: Input; + aws_endpoint_url: Input; +}; + +export const secrets: Secret[] = [ { name: "SECRET_KEY", valueFrom: `${SCORER_SERVER_SSM_ARN}:SECRET_KEY::`, @@ -112,6 +120,23 @@ export const secrets = [ }, ]; +export function getSecrets(config: SecretsConfig): Secret[] { + const ret: Secret[] = []; + ret.push({ + name: "AWS_ACCESS_KEY_ID", + valueFrom: config.aws_access_key_id, + }); + ret.push({ + name: "AWS_SECRET_ACCESS_KEY", + valueFrom: config.aws_secret_access_key, + }); + ret.push({ + name: "AWS_ENDPOINT_URL", + valueFrom: config.aws_endpoint_url, + }); + return ret; +} + export function getEnvironment(config: ScorerEnvironmentConfig) { return [ { diff --git a/infra/lib/scorer/scheduledTasks.ts b/infra/lib/scorer/scheduledTasks.ts index 9121b9c13..ea3950ff4 100644 --- a/infra/lib/scorer/scheduledTasks.ts +++ b/infra/lib/scorer/scheduledTasks.ts @@ -6,7 +6,10 @@ import { ScorerService, ScorerEnvironmentConfig, getEnvironment, + SecretsConfig, + getSecrets, } from "./new_service"; +import { getSecret } from "@pulumi/aws/kms/getSecret"; let SCORER_SERVER_SSM_ARN = `${process.env["SCORER_SERVER_SSM_ARN"]}`; @@ -30,7 +33,8 @@ export type ScheduledTaskConfig = Pick< export function createScheduledTask( name: string, config: ScheduledTaskConfig, - envConfig: ScorerEnvironmentConfig + envConfig: ScorerEnvironmentConfig, + secretsConfig?: SecretsConfig ) { const { alertTopic, @@ -81,7 +85,7 @@ export function createScheduledTask( image: dockerImageScorer, cpu: cpu ? cpu : 256, memory: memory ? memory : 2048, - secrets, + secrets: secretsConfig ? getSecrets(secretsConfig).concat(secrets) : secrets, environment: getEnvironment(envConfig), command: commandWithTest, },