add datetable cnfcnpj

2025-11-24 11:45:53 -03:00
parent 5b1ba9e9c7
commit 78ad183e61
29 changed files with 828 additions and 255 deletions
--- a/users-events/app/events/batch/chunks_into_users.py
+++ b/users-events/app/events/batch/chunks_into_users.py
@@ -0,0 +1,207 @@
+import csv
+import secrets
+from io import StringIO
+from types import SimpleNamespace
+from typing import TYPE_CHECKING
+from uuid import uuid4
+
+from aws_lambda_powertools.utilities.data_classes import (
+    EventBridgeEvent,
+    event_source,
+)
+from aws_lambda_powertools.utilities.typing import LambdaContext
+from layercake.batch import BatchProcessor
+from layercake.dateutils import now
+from layercake.dynamodb import DynamoDBPersistenceLayer, KeyPair
+from layercake.extra_types import CnpjStr, CpfStr, NameStr
+from pydantic import BaseModel, EmailStr, Field
+
+from boto3clients import dynamodb_client, s3_client
+from config import USER_TABLE
+
+if TYPE_CHECKING:
+    from mypy_boto3_s3.client import S3Client
+else:
+    S3Client = object
+
+
+dyn = DynamoDBPersistenceLayer(USER_TABLE, dynamodb_client)
+transport_params = {'client': s3_client}
+processor = BatchProcessor()
+
+
+class Org(BaseModel):
+    id: str | None = Field(default=None, exclude=True)
+    name: str
+    cnpj: CnpjStr
+
+
+class User(BaseModel):
+    name: NameStr
+    cpf: CpfStr
+    email: EmailStr
+
+
+class CPFConflictError(Exception): ...
+
+
+class EmailConflictError(Exception): ...
+
+
+@event_source(data_class=EventBridgeEvent)
+def lambda_handler(event: EventBridgeEvent, context: LambdaContext) -> bool:
+    new_image = event.detail['new_image']
+    csvfile = new_image['s3_uri']
+    _, _, start_byte, _, end_byte = new_image['sk'].split('#')
+    header = SimpleNamespace(
+        **{
+            column_name: int(idx)
+            for idx, column_name in (
+                column.split(':') for column in new_image['columns']
+            )
+        }
+    )
+
+    data = _get_s3_object_range(
+        csvfile,
+        start_byte=start_byte,
+        end_byte=end_byte,
+        s3_client=s3_client,
+    )
+    reader = csv.reader(data)
+    users = [
+        {
+            'name': row[header.name],
+            'email': row[header.email],
+            'cpf': row[header.cpf],
+        }
+        for row in reader
+    ]
+    ctx = {'org': new_image['org']}
+    # Key pattern `FILE#{file}`
+    sk = new_image['file_sk']
+
+    with (
+        dyn.transact_writer() as transact,
+        processor(records=users, handler=_create_user, context=ctx) as batch,
+    ):
+        result = batch.process()
+
+        for r in result:
+            transact.put(
+                item={
+                    'id': new_image['id'],
+                    'sk': f'REPORTING#{sk}#ITEM#{secrets.token_urlsafe(16)}',
+                    'input': r.input_record,
+                    'status': r.status.value.upper(),
+                    'error': r.cause.get('type') if r.cause else None,
+                }
+            )
+
+        transact.update(
+            key=KeyPair(
+                pk=new_image['id'],
+                sk=sk,
+            ),
+            update_expr='ADD progress :progress',
+            expr_attr_values={
+                ':progress': new_image['weight'],
+            },
+        )
+        transact.delete(
+            key=KeyPair(
+                pk=new_image['id'],
+                sk=new_image['sk'],
+            )
+        )
+
+    return True
+
+
+def _create_user(rawuser: dict, context: dict) -> None:
+    now_ = now()
+    user_id = uuid4()
+    org = Org(**context['org'])
+    user = User(**rawuser)
+
+    with dyn.transact_writer() as transact:
+        transact.put(
+            item={
+                **user.model_dump(),
+                'id': user_id,
+                'sk': '0',
+                'email_verified': False,
+                'tenant_id': {org.id},
+                # Post-migration: uncomment the folloing line
+                # 'org_id': {org.id},
+                'created_at': now_,
+            },
+        )
+        transact.put(
+            item={
+                'id': user_id,
+                # Post-migration: rename `emails` to `EMAIL`
+                'sk': f'emails#{user.email}',
+                'email_verified': False,
+                'email_primary': True,
+                'created_at': now_,
+            }
+        )
+        transact.put(
+            item={
+                # Post-migration: rename `cpf` to `CPF`
+                'id': 'cpf',
+                'sk': user.cpf,
+                'created_at': now_,
+            },
+            cond_expr='attribute_not_exists(sk)',
+            exc_cls=CPFConflictError,
+        )
+        transact.put(
+            item={
+                # Post-migration: rename `email` to `EMAIL`
+                'id': 'email',
+                'sk': user.email,
+                'created_at': now_,
+            },
+            cond_expr='attribute_not_exists(sk)',
+            exc_cls=EmailConflictError,
+        )
+        transact.put(
+            item={
+                'id': user_id,
+                'sk': f'orgs#{org.id}',
+                # Post-migration: uncomment the following line
+                # pk=f'ORG#{org.id}',
+                'name': org.name,
+                'cnpj': org.cnpj,
+                'created_at': now_,
+            }
+        )
+        transact.put(
+            item={
+                'id': f'orgmembers#{org.id}',
+                # Post-migration: uncomment the following line
+                # pk=f'MEMBER#ORG#{org_id}',
+                'sk': user_id,
+                'created_at': now_,
+            }
+        )
+
+
+def _get_s3_object_range(
+    s3_uri: str,
+    *,
+    start_byte: int,
+    end_byte: int,
+    s3_client: S3Client,
+) -> StringIO:
+    bucket, key = s3_uri.replace('s3://', '').split('/', 1)
+
+    r = s3_client.get_object(
+        Bucket=bucket,
+        Key=key,
+        Range=f'bytes={start_byte}-{end_byte}',
+    )
+
+    return StringIO(r['Body'].read().decode('utf-8'))
--- a/users-events/app/events/batch/csv_into_chunks.py
+++ b/users-events/app/events/batch/csv_into_chunks.py
@@ -1,22 +1,58 @@
+from decimal import Decimal
+
 from aws_lambda_powertools.utilities.data_classes import (
    EventBridgeEvent,
    event_source,
 )
 from aws_lambda_powertools.utilities.typing import LambdaContext
+from layercake.dateutils import now
+from layercake.dynamodb import DynamoDBPersistenceLayer, KeyPair

-from boto3clients import s3_client
-from config import CHUNK_SIZE
+from boto3clients import dynamodb_client, s3_client
+from config import CHUNK_SIZE, USER_TABLE
 from csv_utils import byte_ranges

+dyn = DynamoDBPersistenceLayer(USER_TABLE, dynamodb_client)
 transport_params = {'client': s3_client}


@event_source(data_class=EventBridgeEvent)
 def lambda_handler(event: EventBridgeEvent, context: LambdaContext) -> bool:
+    now_ = now()
    new_image = event.detail['new_image']
    csvfile = new_image['s3_uri']
-    pairs = byte_ranges(csvfile, CHUNK_SIZE, transport_params=transport_params)
+    chunks = byte_ranges(csvfile, CHUNK_SIZE, transport_params=transport_params)
+    total_chunks = len(chunks)
+    weight_per_chunk = round(100 / total_chunks, 2)
+    weights = [weight_per_chunk] * total_chunks
+    # Fix last value to balance total
+    weights[-1] = round(100 - sum(weights[:-1]), 2)

-    print(pairs)
+    with dyn.transact_writer() as transact:
+        transact.update(
+            key=KeyPair(new_image['id'], new_image['sk']),
+            update_expr='SET total_chunks = :total_chunks, \
+                             progress = :progress, \
+                             started_at = :now',
+            expr_attr_values={
+                ':total_chunks': total_chunks,
+                ':progress': 0,
+                ':now': now_,
+            },
+        )
+
+        for (start, end), weight in zip(chunks, weights):
+            transact.put(
+                item={
+                    'id': new_image['id'],
+                    'sk': f'CHUNK#START#{start}#END#{end}',
+                    'file_sk': new_image['sk'],
+                    's3_uri': new_image['s3_uri'],
+                    'columns': new_image['columns'],
+                    'weight': Decimal(str(weight)),
+                    'org': new_image['org'],
+                    'created_at': now_,
+                }
+            )

    return True
--- a/users-events/app/events/batch/mask_as_completed.py
+++ b/users-events/app/events/batch/mask_as_completed.py
@@ -0,0 +1,14 @@
+from aws_lambda_powertools.utilities.data_classes import (
+    EventBridgeEvent,
+    event_source,
+)
+from aws_lambda_powertools.utilities.typing import LambdaContext
+
+from boto3clients import s3_client
+
+transport_params = {'client': s3_client}
+
+
+@event_source(data_class=EventBridgeEvent)
+def lambda_handler(event: EventBridgeEvent, context: LambdaContext) -> bool:
+    return True
--- a/users-events/app/events/batch/read_csv_chunk.py
+++ b/users-events/app/events/batch/read_csv_chunk.py
@@ -1,55 +0,0 @@
-import csv
-from io import StringIO
-from typing import TYPE_CHECKING
-
-from aws_lambda_powertools.utilities.data_classes import (
-    EventBridgeEvent,
-    event_source,
-)
-from aws_lambda_powertools.utilities.typing import LambdaContext
-
-from boto3clients import s3_client
-
-if TYPE_CHECKING:
-    from mypy_boto3_s3.client import S3Client
-else:
-    S3Client = object
-
-transport_params = {'client': s3_client}
-
-
-@event_source(data_class=EventBridgeEvent)
-def lambda_handler(event: EventBridgeEvent, context: LambdaContext) -> bool:
-    new_image = event.detail['new_image']
-    csvfile = new_image['s3_uri']
-
-    data = _get_s3_object_range(
-        csvfile,
-        start_byte=new_image['start_byte'],
-        end_byte=new_image['end_byte'],
-        s3_client=s3_client,
-    )
-    reader = csv.reader(data)
-
-    for x in reader:
-        print(x)
-
-    return True
-
-
-def _get_s3_object_range(
-    s3_uri: str,
-    *,
-    start_byte: int,
-    end_byte: int,
-    s3_client: S3Client,
-) -> StringIO:
-    bucket, key = s3_uri.replace('s3://', '').split('/', 1)
-
-    response = s3_client.get_object(
-        Bucket=bucket,
-        Key=key,
-        Range=f'bytes={start_byte}-{end_byte}',
-    )
-
-    return StringIO(response['Body'].read().decode('utf-8'))
--- a/users-events/cf.py
+++ b/users-events/cf.py
@@ -1,62 +0,0 @@
-# /// script
-# dependencies = [
-#   "cloudflare"
-# ]
-# ///
-
-from cloudflare import Cloudflare
-
-CLOUDFLARE_ACCOUNT_ID = '5436b62470020c04b434ad31c3e4cf4e'
-CLOUDFLARE_API_TOKEN = 'gFndkBJCzH4pRX7mKXokdWfw1xhm8-9FHfvLfhwa'
-
-
-client = Cloudflare(api_token=CLOUDFLARE_API_TOKEN)
-
-assistant = """
-You are a data analysis assistant specialized in identifying Brazilian
-personal data from CSV files.
-
-These CSV files may or may not include headers.
-
-Your task is to analyze the content and identify only three possible
-data types: 'name', 'cpf', and 'email'.
-
-Ignore all other fields.
-"""
-
-csv_content = """
-,RICARDO GALLES BONET,ricardo.bonet@fanucamerica.com,424.430.528-93,NR-10 (RECICLAGEM)
-,RULIO SIEFERT SERA,rulio.sera@fanucamerica.com,063.916.859-08,NR-10 (RECICLAGEM)
-,MACIEL FERREIRA BOMFIM,maciel.bomfim@fanucamerica.com,334.547.088-85,NR-10 (RECICLAGEM)
-,JAIME EDUARDO GALVEZ AVILES,jaime.galvez@fanucamerica.com,280.238.818-50,NR-12
-,JAIME EDUARDO GALVEZ AVILES,jaime.galvez@fanucamerica.com,280.238.818-50,NR-35 (RECICLAGEM)
-,HIGOR MACHADO SILVA,higor.silva@fanucamerica.com,419.879.878-88,NR-12
-,LÁZARO SOUZA DIAS,lazaro.dias@fanucamerica.com,067.179.825-19,NR-12
-,JOÃO PEDRO AGUIAR GALASSO,joao.pedro@fanucamerica.com,570.403.588-40,NR-12
-"""
-
-prompt = f"""
-Here is a CSV sample:
-
-{csv_content}
-
-Your task is to:
- Detect which columns most likely contain "name", "cpf", or "email".
- Skip any category that is not present in the data.
- Return ONLY a valid Python list of tuples, like:
-[('name', index), ('cpf', index), ('email', index)]
- Use the column index that most likely matches each data type,
-based on frequency and data format.
- Don't include explanations, code, or any additional text.
-"""
-
-r = client.ai.run(
-    model_name='@cf/meta/llama-3-8b-instruct',
-    account_id=CLOUDFLARE_ACCOUNT_ID,
-    messages=[
-        {'role': 'system', 'content': assistant},
-        {'role': 'user', 'content': prompt},
-    ],
-)
-
-print(r)
--- a/users-events/template.yaml
+++ b/users-events/template.yaml
@@ -33,13 +33,15 @@ Resources:
    Properties:
      RetentionInDays: 90

-  EventCsvChunksFunction:
+  EventCsvIntoChunksFunction:
    Type: AWS::Serverless::Function
    Properties:
-      Handler: events.batch.csv_chunks.lambda_handler
+      Handler: events.batch.csv_into_chunks.lambda_handler
      LoggingConfig:
        LogGroup: !Ref EventLog
      Policies:
+        - DynamoDBCrudPolicy:
+            TableName: !Ref UserTable
        - S3CrudPolicy:
            BucketName: !Ref BucketName
      Events:
@@ -50,8 +52,35 @@ Resources:
              resources: [!Ref UserTable]
              detail:
                new_image:
+                  id:
+                    - prefix: BATCH_JOB#ORG#
                  sk:
-                    - prefix: BATCH_JOB#ORG
+                    - prefix: FILE#
+                  status: [PENDING]
+
+  EventChunksIntoUsersFunction:
+    Type: AWS::Serverless::Function
+    Properties:
+      Handler: events.batch.chunks_into_user.lambda_handler
+      LoggingConfig:
+        LogGroup: !Ref EventLog
+      Policies:
+        - DynamoDBCrudPolicy:
+            TableName: !Ref UserTable
+        - S3CrudPolicy:
+            BucketName: !Ref BucketName
+      Events:
+        DynamoDBEvent:
+          Type: EventBridgeRule
+          Properties:
+            Pattern:
+              resources: [!Ref UserTable]
+              detail:
+                new_image:
+                  id:
+                    - prefix: BATCH_JOB#ORG#
+                  sk:
+                    - prefix: CHUNK#START#

  EventEmailReceivingFunction:
    Type: AWS::Serverless::Function
--- a/users-events/tests/events/batch/test_chunks_into_users.py
+++ b/users-events/tests/events/batch/test_chunks_into_users.py
@@ -0,0 +1,47 @@
+import pprint
+
+from layercake.dynamodb import DynamoDBPersistenceLayer, KeyPair
+
+import events.batch.chunks_into_users as app
+
+
+def test_chunk_csv(
+    dynamodb_persistence_layer: DynamoDBPersistenceLayer,
+    lambda_context,
+):
+    pk = 'BATCH_JOB#ORG#1411844c-10d6-456e-959d-e91775145461'
+    file_sk = 'FILE#2025-11-13T16:04:53.024743'
+    event = {
+        'detail': {
+            'new_image': {
+                'id': pk,
+                'sk': 'CHUNK#START#0#END#4885',
+                'weight': 100,
+                'created_at': '2025-11-20T19:00:41.896001-03:00',
+                'file_sk': file_sk,
+                's3_uri': 's3://saladeaula.digital/samples/users.csv',
+                'columns': {
+                    '1:name',
+                    '2:email',
+                    '3:cpf',
+                },
+                'org': {
+                    'id': '1411844c-10d6-456e-959d-e91775145461',
+                    'name': 'EDUSEG',
+                    'cnpj': '15608435000190',
+                },
+            },
+        },
+    }
+
+    assert app.lambda_handler(event, lambda_context)  # type: ignore
+
+    r = dynamodb_persistence_layer.collection.query(
+        KeyPair(
+            pk=pk,
+            sk=f'REPORTING#{file_sk}',
+        ),
+        limit=100,
+    )
+    pprint.pp(r['items'])
+    assert 26 == len(r['items'])
--- a/users-events/tests/events/batch/test_csv_into_chunks.py
+++ b/users-events/tests/events/batch/test_csv_into_chunks.py
@@ -1,13 +1,37 @@
+from layercake.dateutils import now
+from layercake.dynamodb import DynamoDBPersistenceLayer, PartitionKey
+
 import events.batch.csv_into_chunks as app


-def test_chunk_csv(lambda_context):
+def test_chunk_csv(
+    dynamodb_persistence_layer: DynamoDBPersistenceLayer,
+    lambda_context,
+):
+    pk = 'BATCH_JOB#ORG#1411844c-10d6-456e-959d-e91775145461'
+    sk = 'FILE#2025-11-13T16:04:53.024743'
    event = {
        'detail': {
            'new_image': {
+                'id': pk,
+                'sk': sk,
                's3_uri': 's3://saladeaula.digital/samples/large_users.csv',
+                'columns': {
+                    '1:email',
+                    '2:cpf',
+                    '3:name',
+                },
+                'org': {
+                    'id': '1411844c-10d6-456e-959d-e91775145461',
+                    'name': 'EDUSEG',
+                    'cnpj': '15608435000190',
+                },
+                'created_at': now(),
            },
        },
    }

    app.lambda_handler(event, lambda_context)  # type: ignore
+
+    r = dynamodb_persistence_layer.collection.query(PartitionKey(pk), limit=100)
+    assert len(r['items']) == 67
--- a/users-events/tests/events/batch/test_excel_to_csv.py
+++ b/users-events/tests/events/batch/test_excel_to_csv.py
@@ -0,0 +1,13 @@
+import events.batch.excel_to_csv as app
+
+
+def test_excel_to_csv(lambda_context):
+    event = {
+        'detail': {
+            'new_image': {
+                's3_uri': 's3://saladeaula.digital/samples/large_users.csv',
+            },
+        },
+    }
+
+    assert app.lambda_handler(event, lambda_context)  # type: ignore
--- a/users-events/tests/seeds.jsonl
+++ b/users-events/tests/seeds.jsonl
@@ -1,4 +1,11 @@
 {"id": {"S": "cJtK9SsnJhKPyxESe7g3DG"}, "sk": {"S": "0"}, "name": {"S": "EDUSEG"}}
 {"id": {"S": "cJtK9SsnJhKPyxESe7g3DG"}, "sk": {"S": "admins#5OxmMjL-ujoR5IMGegQz"}, "name": {"S": "Sérgio R Siqueira"}, "email": {"S": "sergio@somosbeta.com.br"}}
 {"id": {"S": "cnpj"}, "sk": {"S": "15608435000190"}, "user_id": {"S": "cJtK9SsnJhKPyxESe7g3DG"}}
-{"id": {"S": "email"}, "sk": {"S": "org+15608435000190@users.noreply.saladeaula.digital"}, "user_id": {"S": "cJtK9SsnJhKPyxESe7g3DG"}}
+{"id": {"S": "email"}, "sk": {"S": "org+15608435000190@users.noreply.saladeaula.digital"}, "user_id": {"S": "cJtK9SsnJhKPyxESe7g3DG"}}
+
+
+{"id": "BATCH_JOB#ORG#1411844c-10d6-456e-959d-e91775145461", "sk": "FILE#2025-11-13T16:04:53.024743", "progress": 0, "s3_uri": "s3://saladeaula.digital/samples/large_users.csv"}
+{"id": "BATCH_JOB#ORG#1411844c-10d6-456e-959d-e91775145461", "sk": "CHUNK#START#0#END#3847", "weight": 25, "file_sk": "FILE#2025-11-13T16:04:53.024743", "s3_uri": "s3://saladeaula.digital/samples/large_users.csv"}
+{"id": "BATCH_JOB#ORG#1411844c-10d6-456e-959d-e91775145461", "sk": "CHUNK#START#3848#END#7925", "weight": 25, "file_sk": "FILE#2025-11-13T16:04:53.024743", "s3_uri": "s3://saladeaula.digital/samples/large_users.csv"}
+{"id": "BATCH_JOB#ORG#1411844c-10d6-456e-959d-e91775145461", "sk": "CHUNK#START#7926#END#11866", "weight": 25, "file_sk": "FILE#2025-11-13T16:04:53.024743", "s3_uri": "s3://saladeaula.digital/samples/large_users.csv"}
+{"id": "BATCH_JOB#ORG#1411844c-10d6-456e-959d-e91775145461", "sk": "CHUNK#START#11867#END#15913", "weight": 25, "file_sk": "FILE#2025-11-13T16:04:53.024743", "s3_uri": "s3://saladeaula.digital/samples/large_users.csv"}
--- a/users-events/tests/test_csv_utils.py
+++ b/users-events/tests/test_csv_utils.py
@@ -9,8 +9,8 @@ def test_detect_delimiter():
 def test_byte_ranges():
    csvpath = 'tests/samples/users.csv'
    ranges = byte_ranges(csvpath, 10)
-    *_, pair = ranges
-    start_byte, end_byte = pair
+    *_, chunk = ranges
+    start_byte, end_byte = chunk

    assert ranges == [(0, 808), (809, 1655), (1656, 2303)]

--- a/users-events/uv.lock
+++ b/users-events/uv.lock
@@ -472,7 +472,7 @@ wheels = [

 [[package]]
 name = "layercake"
-version = "0.11.1"
+version = "0.11.2"
 source = { directory = "../layercake" }
 dependencies = [
    { name = "arnparse" },
@@ -489,6 +489,7 @@ dependencies = [
    { name = "pycpfcnpj" },
    { name = "pydantic", extra = ["email"] },
    { name = "pydantic-extra-types" },
+    { name = "python-calamine" },
    { name = "python-multipart" },
    { name = "pytz" },
    { name = "requests" },
@@ -513,6 +514,7 @@ requires-dist = [
    { name = "pycpfcnpj", specifier = ">=1.8" },
    { name = "pydantic", extras = ["email"], specifier = ">=2.10.6" },
    { name = "pydantic-extra-types", specifier = ">=2.10.3" },
+    { name = "python-calamine", specifier = ">=0.5.4" },
    { name = "python-multipart", specifier = ">=0.0.20" },
    { name = "pytz", specifier = ">=2025.1" },
    { name = "requests", specifier = ">=2.32.3" },
@@ -830,6 +832,67 @@ wheels = [
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