From dab974b4a83fdbad1f16e75a4aba2f0447379f2d Mon Sep 17 00:00:00 2001 From: Bernardo Fernandes Date: Tue, 5 Aug 2025 13:11:43 +0100 Subject: [PATCH 01/31] Adding print_tree method to FlowGraph --- .../flowfile_core/flowfile/flow_graph.py | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/flowfile_core/flowfile_core/flowfile/flow_graph.py b/flowfile_core/flowfile_core/flowfile/flow_graph.py index 11770b1f..5d5243e9 100644 --- a/flowfile_core/flowfile_core/flowfile/flow_graph.py +++ b/flowfile_core/flowfile_core/flowfile/flow_graph.py @@ -269,6 +269,24 @@ def __repr__(self): settings_str = " -" + '\n -'.join(f"{k}: {v}" for k, v in self.flow_settings) return f"FlowGraph(\nNodes: {self._node_db}\n\nSettings:\n{settings_str}" + def print_tree(self): + """ + Print flow_graph as a tree. + """ + + str_repr = result.flow_graph._node_db + last_key = len(str_repr.keys()) + tree= "" + + for k, v in str_repr.items(): + operation = str(v).split("(")[1][:-1].replace("_", " ").title() + tree += str(operation) + " (id=" + str(k) + "):" + # This is still missing the operation type. Need to check how to access FlowFile object + if k < last_key: + tree += "\n" + "# " + "\t"*(k-1) + "|___ " + + return print(tree) + def get_nodes_overview(self): output = [] for v in self._node_db.values(): From 8aa0b746b6edc2caef4e2c776a3c945b9e949419 Mon Sep 17 00:00:00 2001 From: Bernardo Fernandes Date: Wed, 6 Aug 2025 17:35:00 +0100 Subject: [PATCH 02/31] Adding method print_tree() to FlowGraph --- .../flowfile_core/flowfile/flow_graph.py | 61 ++++++++++++++++--- 1 file changed, 51 insertions(+), 10 deletions(-) diff --git a/flowfile_core/flowfile_core/flowfile/flow_graph.py b/flowfile_core/flowfile_core/flowfile/flow_graph.py index 5d5243e9..24bb8602 100644 --- a/flowfile_core/flowfile_core/flowfile/flow_graph.py +++ b/flowfile_core/flowfile_core/flowfile/flow_graph.py @@ -269,21 +269,62 @@ def __repr__(self): settings_str = " -" + '\n -'.join(f"{k}: {v}" for k, v in self.flow_settings) return f"FlowGraph(\nNodes: {self._node_db}\n\nSettings:\n{settings_str}" - def print_tree(self): + def print_tree(self, show_schema=False, show_descriptions=False):: """ Print flow_graph as a tree. """ + max_node_id = max(self._node_db.keys()) - str_repr = result.flow_graph._node_db - last_key = len(str_repr.keys()) - tree= "" + tree = "" + tabs = 0 - for k, v in str_repr.items(): - operation = str(v).split("(")[1][:-1].replace("_", " ").title() - tree += str(operation) + " (id=" + str(k) + "):" - # This is still missing the operation type. Need to check how to access FlowFile object - if k < last_key: - tree += "\n" + "# " + "\t"*(k-1) + "|___ " + for node in self.nodes: + tab_counter += 1 + node_input = node.setting_input + operation = str(self._node_db[node_input.node_id]).split("(")[1][:-1].replace("_", " ").title() + + if operation == "Formula": + operation = "With Columns" + + + tree += str(operation) + " (id=" + str(node_input.node_id) + ")" + + if show_descriptions & show_schema: + raise ValueError('show_descriptions and show_schema cannot be True simultaneously') + if show_descriptions: + tree += ": " + str(node_input.description) + elif show_schema: + tree += " -> [" + if operation == "Manual Input": + schema = ", ".join([str(i.name) + ": " + str(i.data_type) for i in node_input.raw_data_format.columns]) + tree += schema + elif operation == "With Columns": + tree_with_col_schema = ", " + node_input.function.field.name + ": " + node_input.function.field.data_type + tree += schema + tree_with_col_schema + elif operation == "Filter": + index = node_input.filter_input.advanced_filter.find("]") + filtered_column = str(node_input.filter_input.advanced_filter[1:index]) + schema = re.sub('({str(filtered_column)}: [A-Za-z0-9]+\,\s)', "", schema) + tree += schema + elif operation == "Group By": + for col in node_input.groupby_input.agg_cols: + schema = re.sub(str(col.old_name) + ': [a-z0-9]+\, ', "", schema) + tree += schema + tree += "]" + else: + if operation == "Manual Input": + tree += ": " + str(node_input.raw_data_format.data) + elif operation == "With Columns": + tree += ": " + str(node_input.function) + elif operation == "Filter": + tree += ": " + str(node_input.filter_input.advanced_filter) + elif operation == "Group By": + tree += ": groupby=[" + ", ".join([col.old_name for col in node_input.groupby_input.agg_cols if col.agg == "groupby"]) + "], " + tree += "agg=[" + ", ".join([str(col.agg) + "(" + str(col.old_name) + ")" for col in node_input.groupby_input.agg_cols if col.agg != "groupby"]) + "]" + + if node_input.node_id < max_node_id: + tree += "\n" + "# " + " "*3*(tabs-1) + "|___ " + print("\n"*2) return print(tree) From 3ead94ab2de22872f4338c8cb5e22d0b38d340e7 Mon Sep 17 00:00:00 2001 From: Bernardo Fernandes Date: Wed, 6 Aug 2025 17:38:54 +0100 Subject: [PATCH 03/31] Adding method print_tree() to FlowGraph --- flowfile_core/flowfile_core/flowfile/flow_graph.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/flowfile_core/flowfile_core/flowfile/flow_graph.py b/flowfile_core/flowfile_core/flowfile/flow_graph.py index 24bb8602..890c16de 100644 --- a/flowfile_core/flowfile_core/flowfile/flow_graph.py +++ b/flowfile_core/flowfile_core/flowfile/flow_graph.py @@ -269,7 +269,7 @@ def __repr__(self): settings_str = " -" + '\n -'.join(f"{k}: {v}" for k, v in self.flow_settings) return f"FlowGraph(\nNodes: {self._node_db}\n\nSettings:\n{settings_str}" - def print_tree(self, show_schema=False, show_descriptions=False):: + def print_tree(self, show_schema=False, show_descriptions=False): """ Print flow_graph as a tree. """ From e1580750a38f0a54fa8317557b831d9996d45bbc Mon Sep 17 00:00:00 2001 From: Bernardo Fernandes Date: Mon, 18 Aug 2025 11:46:19 +0100 Subject: [PATCH 04/31] Changes to node ordering in print_tree method --- .../flowfile_core/flowfile/flow_graph.py | 26 ++++++++++--------- 1 file changed, 14 insertions(+), 12 deletions(-) diff --git a/flowfile_core/flowfile_core/flowfile/flow_graph.py b/flowfile_core/flowfile_core/flowfile/flow_graph.py index 890c16de..a93073a7 100644 --- a/flowfile_core/flowfile_core/flowfile/flow_graph.py +++ b/flowfile_core/flowfile_core/flowfile/flow_graph.py @@ -269,7 +269,7 @@ def __repr__(self): settings_str = " -" + '\n -'.join(f"{k}: {v}" for k, v in self.flow_settings) return f"FlowGraph(\nNodes: {self._node_db}\n\nSettings:\n{settings_str}" - def print_tree(self, show_schema=False, show_descriptions=False): + def print_tree(self): """ Print flow_graph as a tree. """ @@ -278,8 +278,10 @@ def print_tree(self, show_schema=False, show_descriptions=False): tree = "" tabs = 0 - for node in self.nodes: - tab_counter += 1 + ordered_nodes = [i.node_id for i in self.execution_order] + + for node in ordered_nodes: + tabs += 1 node_input = node.setting_input operation = str(self._node_db[node_input.node_id]).split("(")[1][:-1].replace("_", " ").title() @@ -1247,21 +1249,21 @@ def run_graph(self): self.end_datetime = None self.latest_run_info = None self.flow_logger.info('Starting to run flowfile flow...') - skip_nodes = [node for node in self.nodes if not node.is_correct] - skip_nodes.extend([lead_to_node for node in skip_nodes for lead_to_node in node.leads_to_nodes]) - execution_order = determine_execution_order(all_nodes=[node for node in self.nodes if - node not in skip_nodes], + self.skip_nodes = [node for node in self.nodes if not node.is_correct] + self.skip_nodes.extend([lead_to_node for node in self.skip_nodes for lead_to_node in node.leads_to_nodes]) + self.execution_order = determine_execution_order(all_nodes=[node for node in self.nodes if + node not in self.skip_nodes], flow_starts=self._flow_starts+self.get_implicit_starter_nodes()) - skip_node_message(self.flow_logger, skip_nodes) - execution_order_message(self.flow_logger, execution_order) + skip_node_message(self.flow_logger, self.skip_nodes) + execution_order_message(self.flow_logger, self.execution_order) performance_mode = self.flow_settings.execution_mode == 'Performance' - for node in execution_order: + for node in self.execution_order: node_logger = self.flow_logger.get_node_logger(node.node_id) if self.flow_settings.is_canceled: self.flow_logger.info('Flow canceled') break - if node in skip_nodes: + if node in self.skip_nodes: node_logger.info(f'Skipping node {node.node_id}') continue node_result = NodeResult(node_id=node.node_id, node_name=node.name) @@ -1289,7 +1291,7 @@ def run_graph(self): node_result.is_running = False node_logger.error(f'Error in node {node.node_id}: {e}') if not node_result.success: - skip_nodes.extend(list(node.get_all_dependent_nodes())) + self.skip_nodes.extend(list(node.get_all_dependent_nodes())) node_logger.info(f'Completed node with success: {node_result.success}') self.nodes_completed += 1 self.flow_logger.info('Flow completed!') From a237c11df32c41090599cc30c41e1325bc99a1b7 Mon Sep 17 00:00:00 2001 From: Bernardo Fernandes Date: Tue, 26 Aug 2025 10:10:59 +0100 Subject: [PATCH 05/31] Adding test_utils for GCS --- flowfile_core/tests/utils.py | 2 +- pyproject.toml | 4 + test_utils/gcs/__init__.py | 0 test_utils/gcs/commands.py | 0 test_utils/gcs/data_generator.py | 267 +++++++++++++++++++++++++++++++ test_utils/gcs/fixtures.py | 0 6 files changed, 272 insertions(+), 1 deletion(-) create mode 100644 test_utils/gcs/__init__.py create mode 100644 test_utils/gcs/commands.py create mode 100644 test_utils/gcs/data_generator.py create mode 100644 test_utils/gcs/fixtures.py diff --git a/flowfile_core/tests/utils.py b/flowfile_core/tests/utils.py index 207fc635..081c2749 100644 --- a/flowfile_core/tests/utils.py +++ b/flowfile_core/tests/utils.py @@ -10,7 +10,7 @@ from flowfile_core.schemas.cloud_storage_schemas import FullCloudStorageConnection -def get_cloud_connection(): +def get_aws_cloud_connection(): """Reusable AWS CLI connection configuration.""" minio_connection = FullCloudStorageConnection( connection_name="minio-test", diff --git a/pyproject.toml b/pyproject.toml index 38b64e1d..00270d01 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -57,6 +57,8 @@ cryptography = "^45.0.5" httpx = "^0.28.1" tqdm = "^4.67.1" s3fs = "^2025.7.0" +google-cloud-storage +azure-storage-blob [tool.poetry.scripts] @@ -69,6 +71,8 @@ stop_postgres = "test_utils.postgres.commands:stop_postgres" flowfile = "flowfile.__main__:main" start_minio = "test_utils.s3.commands:start_minio" stop_minio = "test_utils.s3.commands:stop_minio" +start_gcs_server = "test_utils.gcs.commands:start_fake_gcs_server" +stop_gcs_server = "test_utils.gcs.commands:stop_fake_gcs_server" [tool.poetry.group.dev.dependencies] diff --git a/test_utils/gcs/__init__.py b/test_utils/gcs/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/test_utils/gcs/commands.py b/test_utils/gcs/commands.py new file mode 100644 index 00000000..e69de29b diff --git a/test_utils/gcs/data_generator.py b/test_utils/gcs/data_generator.py new file mode 100644 index 00000000..0619bd00 --- /dev/null +++ b/test_utils/gcs/data_generator.py @@ -0,0 +1,267 @@ + +import logging +import io +import os + +# Third-party libraries +from google.cloud import storage +import polars as pl +import pyarrow as pa +from deltalake import write_deltalake +from pyiceberg.catalog import load_catalog +import mimetypes +from typing import Dict + +# Configure logging +logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') +logger = logging.getLogger(__name__) + +GCS_HOST = os.environ.get("TEST_GCS_HOST", "localhost") +GCS_PORT = int(os.environ.get("TEST_GCS_PORT", 4443)) +GCS_BUCKET_NAME = os.environ.get("TEST_GCS_CONTAINER", "test-gcs") +GCS_ENDPOINT_URL = f"https://{GCS_HOST}:{GCS_PORT}" + +def _create_single_csv_file(gcs_client, df: pl.DataFrame, bucket_name: str): + """Creates a single CSV file from a DataFrame and uploads it to GCS.""" + logger.info("Writing single-file CSV...") + csv_buffer = io.BytesIO() + df.write_csv(csv_buffer) + csv_buffer.seek(0) + bucket = gcs_client.bucket(bucket_name) + blob = bucket.blob('single-file-csv/data.csv') + blob.upload_from_file(csv_buffer, content_type='text/csv') + + +def _create_multi_file_csv(gcs_client, df: pl.DataFrame, bucket_name: str, num_files: int = 10): + """Creates multiple CSV files from a DataFrame and uploads them to S3.""" + logger.info(f"Writing {num_files} CSV files...") + data_size = len(df) + rows_per_file = data_size // num_files + bucket = gcs_client.bucket(bucket_name) + for i in range(num_files): + sub_df = df.slice(i * rows_per_file, rows_per_file) + csv_buffer = io.BytesIO() + sub_df.write_csv(csv_buffer) + csv_buffer.seek(0) + blob = bucket.blob(f'multi-file-csv/part_{i:02d}.csv') + blob.upload_from_file(csv_buffer, content_type='text/csv') + + + +def _create_single_file_json(gcs_client, df: pl.DataFrame, bucket_name: str): + """Creates a single JSON file from a DataFrame and uploads it to S3.""" + logger.info("Writing single-file JSON...") + json_buffer = io.BytesIO() + df.write_ndjson(json_buffer) + json_buffer.seek(0) + bucket = gcs_client.bucket(bucket_name) + blob = bucket.blob('single-file-json/data.json') + blob.upload_from_file(json_buffer, content_type='application/json') + + +def _create_multi_file_json(gcs_client, df: pl.DataFrame, bucket_name: str, num_files: int = 10): + """Creates multiple JSON files from a DataFrame and uploads them to S3.""" + logger.info(f"Writing {num_files} JSON files...") + data_size = len(df) + rows_per_file = data_size // num_files + bucket = gcs_client.bucket(bucket_name) + for i in range(num_files): + sub_df = df.slice(i * rows_per_file, rows_per_file) + json_buffer = io.BytesIO() + sub_df.write_ndjson(json_buffer) + json_buffer.seek(0) + blob = bucket.blob(f'multi-file-json/part_{i:02d}.json') + blob.upload_from_file(json_buffer, content_type='application/json') + + +def _create_single_parquet_file(gcs_client, df: pl.DataFrame, bucket_name: str): + """Creates a single Parquet file from a DataFrame and uploads it to S3.""" + logger.info("Writing single-file Parquet...") + parquet_buffer = io.BytesIO() + df.write_parquet(parquet_buffer) + parquet_buffer.seek(0) + bucket = gcs_client.bucket(bucket_name) + blob = bucket.blob('single-file-parquet/data.parquet') + blob.upload_from_file(parquet_buffer, content_type='application/vnd.apache.parquet') + + +def _create_multi_parquet_file(gcs_client, df: pl.DataFrame, bucket_name: str, num_files: int = 10): + """Creates multiple Parquet files from a DataFrame and uploads them to S3.""" + logger.info(f"Writing {num_files} Parquet files...") + data_size = len(df) + rows_per_file = data_size // num_files + bucket = gcs_client.bucket(bucket_name) + for i in range(num_files): + sub_df = df.slice(i * rows_per_file, rows_per_file) + parquet_buffer = io.BytesIO() + sub_df.write_parquet(parquet_buffer) + parquet_buffer.seek(0) + blob = bucket.blob(f'multi-file-parquet/part_{i:02d}.parquet') + blob.upload_from_file(parquet_buffer, content_type='application/vnd.apache.parquet') + +def guess_content_type(filename): + """ Created since mimetypes doesn't know about parquet by default.""" + if filename.endswith(".parquet"): + return "application/vnd.apache.parquet" + if filename.endswith(".avro"): + return "application/avro" + return mimetypes.guess_type(filename)[0] or "application/octet-stream" + + + +def _create_delta_lake_table(gcs_client, arrow_table: pa.Table, bucket_name: str): + """Creates a Delta Lake table from a PyArrow table in S3.""" + logger.info("Writing Delta Lake table...") + bucket = gcs_client.bucket(bucket_name) + blob = bucket.blob(f"delta-lake-table") + for root, _, files in os.walk(table_path): + for f in files: + local_path = os.path.join(root, f) + rel_path = os.path.relpath(local_path, arrow_table) + blob = bucket.blob(f"delta_table/{rel_path}") + blob.upload_from_filename(local_path, content_type=guess_content_type(local_path)) + print(f"Uploaded {rel_path} with content_type={blob.content_type}") + + + +def _create_iceberg_table(df: pl.DataFrame, bucket_name: str, endpoint_url: str, app_credentials: Dict, + gcs_client): + """Creates an Apache Iceberg table and FORCES sane metadata pointers.""" + logger.info("Writing Apache Iceberg table with SANE metadata access...") + # Configure the catalog properties for S3 access + catalog_props = { + "py-io-impl": "pyiceberg.io.pyarrow.PyArrowFileIO", + "gcs.endpoint": endpoint_url, + "gcs.app-credentials": app_credentials + } + + # Creating a bucket instance to upload files + bucket = gcs_client.bucket(bucket_name) + + # Use the SQL catalog with an in-memory SQLite database for storing metadata pointers + catalog = load_catalog( + "default", + **{ + "type": "sql", + "uri": "sqlite:///:memory:", # Use an in-memory SQL DB for the catalog + "warehouse": f"https://storage.googleapis.com/{bucket_name}/iceberg_warehouse", + **catalog_props, + } + ) + table_identifier = ("default_db", "iceberg_table") + # Create a namespace (like a schema or database) for the table + try: + catalog.drop_namespace("default_db") + except Exception: + pass # Ignore if namespace doesn't exist + catalog.create_namespace("default_db") + try: + catalog.load_table(table_identifier) + catalog.drop_table(table_identifier) + except: + pass + + # Create the table schema and object first + schema = df.to_arrow().schema + table = catalog.create_table(identifier=table_identifier, schema=schema) + + # Use the simplified write_iceberg method from Polars + df.write_iceberg(table, mode='overwrite') + + # NOW CREATE WHAT SHOULD EXIST BY DEFAULT - SANE METADATA POINTERS + # Get the current metadata location from the table + current_metadata = table.metadata_location + logger.info(f"Original metadata location: {current_metadata}") + + # Extract just the path part + if current_metadata.startswith("s3a://"): + current_metadata_key = current_metadata.replace(f"https://storage.googleapis.com/{bucket_name}/", "") + else: + current_metadata_key = current_metadata.replace(f"https://storage.googleapis.com/{bucket_name}/", "") + + # Read the current metadata + response = gcs_client.get_object(Bucket=bucket_name, Key=current_metadata_key) + metadata_content = response['Body'].read() + + # Get the metadata directory + metadata_dir = "/".join(current_metadata_key.split("/")[:-1]) + + # Write it to standardized locations + # 1. metadata.json in the metadata folder (this is what pl.scan_iceberg expects) + blob = bucket.blob(f"{metadata_dir}") + blob.upload_from_filename("metadata.json", content_type=guess_content_type(metadata_content)) + + logger.info(f"Created stable metadata.json at: https://storage.googleapis.com/{bucket_name}/{metadata_dir}/metadata.json") + + # 2. current.json as an additional pointer + blob = bucket.blob(f"{metadata_dir}") + blob.upload_from_filename("current.json", content_type=guess_content_type(metadata_content)) + + # 3. VERSION file that contains the current metadata filename + current_metadata_filename = current_metadata_key.split("/")[-1] + blob = bucket.bloc(f"{metadata_dir}/VERSION") + blob.upload_from_filename(current_metadata_filename.encode(), content_type=guess_content_type(metadata_content)) + + # 4. version-hint.text (some Iceberg readers look for this) + blob = bucket.bloc(f"{metadata_dir}/version-hint.text") + blob.upload_from_filename(current_metadata_filename.encode(), content_type=guess_content_type(metadata_content)) + + table_base = "iceberg_warehouse/default_db.db/my_iceberg_table" + logger.info(f""" +✅ Iceberg table created with SANE access patterns: + - Versioned metadata: https://storage.googleapis.com/{bucket_name}/{current_metadata_key} + - Latest metadata: https://storage.googleapis.com/{bucket_name}/{table_base}/metadata/metadata.json + - Current pointer: https://storage.googleapis.com/{bucket_name}/{table_base}/metadata/current.json + - Version hint: https://storage.googleapis.com/{bucket_name}/{table_base}/metadata/version-hint.text + + Read with: pl.scan_iceberg('s3://{bucket_name}/{table_base}/metadata/metadata.json').collect() +""") + + +def populate_test_data(endpoint_url: str, app_credentials_path: str, bucket_name: str): + """ + Populates a MinIO bucket with a variety of large-scale test data formats. + + Args: + endpoint_url (str): The S3 endpoint URL for the MinIO instance. + access_key (str): The access key for MinIO. + secret_key (str): The secret key for MinIO. + bucket_name (str): The name of the bucket to populate. + """ + logger.info("🚀 Starting data population...") + # --- S3 Client and Storage Options --- + if "localhost" in endpoint_url: + gcs_client = client_options={"api_endpoint": "{endpoint_url}"} + else: + gcs_client = storage.Client.from_service_account_json(app_credentials_path) + + # --- Data Generation --- + data_size = 100_000 + df = pl.DataFrame({ + "id": range(1, data_size + 1), + "name": [f"user_{i}" for i in range(1, data_size + 1)], + "value": [i * 10.5 for i in range(1, data_size + 1)], + "category": ["A", "B", "C", "D", "E"] * (data_size // 5) + }) + logger.info(f"Generated a Polars DataFrame with {data_size} rows.") + # + # # --- Execute Data Population Scenarios --- + _create_single_csv_file(gcs_client, df, bucket_name) + _create_multi_file_csv(gcs_client, df, bucket_name) + _create_single_file_json(gcs_client, df, bucket_name) + _create_multi_file_json(gcs_client, df, bucket_name) + _create_single_parquet_file(gcs_client, df, bucket_name) + _create_multi_parquet_file(gcs_client, df, bucket_name) + + # Convert to PyArrow table once for Delta and Iceberg + arrow_table = df.to_arrow() + + _create_delta_lake_table(arrow_table, bucket_name) + _create_iceberg_table(df, bucket_name, endpoint_url, gcs_client) + + logger.info("✅ All test data populated successfully.") + + +if __name__ == '__main__': + populate_test_data(endpoint_url=GCS_ENDPOINT_URL, + bucket_name=GCS_BUCKET_NAME) \ No newline at end of file diff --git a/test_utils/gcs/fixtures.py b/test_utils/gcs/fixtures.py new file mode 100644 index 00000000..e69de29b From 8128be3afceba54e4e66cdfa1ec6f3e850f431c9 Mon Sep 17 00:00:00 2001 From: Edward van Eechoud <41021650+Edwardvaneechoud@users.noreply.github.com> Date: Fri, 15 Aug 2025 10:04:18 +0200 Subject: [PATCH 06/31] Improvement/improve mobile experience docs (#107) * Fix small issues in logging and missing functions * fixing layout quickstart and index.html * Minor improvements full local and documentation * Small bug fixes * Check if reverting the settings resolves failing tests * quick fix for introduced failing tests by improvement * bumping version * ensure example data is set in single process worker * Improve test so it better represents --- flowfile/flowfile/__init__.py | 2 +- .../flow_data_engine/flow_data_engine.py | 1 + .../flowfile_core/flowfile/flow_graph.py | 77 +++++++++- .../flowfile/flow_node/flow_node.py | 24 ++-- .../analytics/test_analytics_processor.py | 19 +++ flowfile_core/tests/flowfile/test_flowfile.py | 131 +++++++----------- flowfile_frontend/package.json | 2 +- local_data/local_products.parquet | Bin 0 -> 1999 bytes pyproject.toml | 2 +- 9 files changed, 160 insertions(+), 98 deletions(-) create mode 100644 local_data/local_products.parquet diff --git a/flowfile/flowfile/__init__.py b/flowfile/flowfile/__init__.py index a4f667d5..595f43bd 100644 --- a/flowfile/flowfile/__init__.py +++ b/flowfile/flowfile/__init__.py @@ -7,7 +7,7 @@ - flowfile_worker: Computation engine """ -__version__ = "0.3.9" +__version__ = "0.3.8" import os import logging diff --git a/flowfile_core/flowfile_core/flowfile/flow_data_engine/flow_data_engine.py b/flowfile_core/flowfile_core/flowfile/flow_data_engine/flow_data_engine.py index c10c3e78..f4426541 100644 --- a/flowfile_core/flowfile_core/flowfile/flow_data_engine/flow_data_engine.py +++ b/flowfile_core/flowfile_core/flowfile/flow_data_engine/flow_data_engine.py @@ -1937,6 +1937,7 @@ def get_number_of_records(self, warn: bool = False, force_calculate: bool = Fals """ if self.is_future and not self.is_collected: return -1 + calculate_in_worker_process = False if not OFFLOAD_TO_WORKER else calculate_in_worker_process if self.number_of_records is None or self.number_of_records < 0 or force_calculate: if self._number_of_records_callback is not None: self._number_of_records_callback(self) diff --git a/flowfile_core/flowfile_core/flowfile/flow_graph.py b/flowfile_core/flowfile_core/flowfile/flow_graph.py index 985ea040..f4f7d026 100644 --- a/flowfile_core/flowfile_core/flowfile/flow_graph.py +++ b/flowfile_core/flowfile_core/flowfile/flow_graph.py @@ -258,6 +258,64 @@ def placeholder(n: FlowNode = None): self.add_node_step(node_id=node_promise.node_id, node_type=node_promise.node_type, function=placeholder, setting_input=node_promise) + def print_tree(self, show_schema=False, show_descriptions=False): + """ + Print flow_graph as a tree. + """ + max_node_id = max(self._node_db.keys()) + + tree = "" + tabs = 0 + tab_counter = 0 + for node in self.nodes: + tab_counter += 1 + node_input = node.setting_input + operation = str(self._node_db[node_input.node_id]).split("(")[1][:-1].replace("_", " ").title() + + if operation == "Formula": + operation = "With Columns" + + tree += str(operation) + " (id=" + str(node_input.node_id) + ")" + + if show_descriptions & show_schema: + raise ValueError('show_descriptions and show_schema cannot be True simultaneously') + if show_descriptions: + tree += ": " + str(node_input.description) + elif show_schema: + tree += " -> [" + if operation == "Manual Input": + schema = ", ".join([str(i.name) + ": " + str(i.data_type) for i in node_input.raw_data_format.columns]) + tree += schema + elif operation == "With Columns": + tree_with_col_schema = ", " + node_input.function.field.name + ": " + node_input.function.field.data_type + tree += schema + tree_with_col_schema + elif operation == "Filter": + index = node_input.filter_input.advanced_filter.find("]") + filtered_column = str(node_input.filter_input.advanced_filter[1:index]) + schema = re.sub('({str(filtered_column)}: [A-Za-z0-9]+\,\s)', "", schema) + tree += schema + elif operation == "Group By": + for col in node_input.groupby_input.agg_cols: + schema = re.sub(str(col.old_name) + ': [a-z0-9]+\, ', "", schema) + tree += schema + tree += "]" + else: + if operation == "Manual Input": + tree += ": " + str(node_input.raw_data_format.data) + elif operation == "With Columns": + tree += ": " + str(node_input.function) + elif operation == "Filter": + tree += ": " + str(node_input.filter_input.advanced_filter) + elif operation == "Group By": + tree += ": groupby=[" + ", ".join([col.old_name for col in node_input.groupby_input.agg_cols if col.agg == "groupby"]) + "], " + tree += "agg=[" + ", ".join([str(col.agg) + "(" + str(col.old_name) + ")" for col in node_input.groupby_input.agg_cols if col.agg != "groupby"]) + "]" + + if node_input.node_id < max_node_id: + tree += "\n" + "# " + " "*3*(tabs-1) + "|___ " + print("\n"*2) + + return print(tree) + def apply_layout(self, y_spacing: int = 150, x_spacing: int = 200, initial_y: int = 100): """Calculates and applies a layered layout to all nodes in the graph. @@ -526,6 +584,8 @@ def analysis_preparation(flowfile_table: FlowDataEngine): node_id=node.node_id, flow_id=self.flow_id, ) + node.results.analysis_data_generator = get_read_top_n(external_sampler.status.file_ref, + n=min(sample_size, number_of_records)) node.results.analysis_data_generator = get_read_top_n(external_sampler.status.file_ref, n=min(sample_size, number_of_records)) return flowfile_table @@ -1623,12 +1683,19 @@ def run_graph(self) -> RunInformation | None: self.end_datetime = None self.latest_run_info = None self.flow_logger.info('Starting to run flowfile flow...') - skip_nodes, execution_order = compute_execution_plan(nodes=self.nodes, flow_starts=self._flow_starts+self.get_implicit_starter_nodes()) - - skip_node_message(self.flow_logger, self.skip_nodes) - execution_order_message(self.flow_logger, self.execution_order) + skip_nodes = [node for node in self.nodes if not node.is_correct] + skip_nodes.extend([lead_to_node for node in skip_nodes for lead_to_node in node.leads_to_nodes]) + execution_order = determine_execution_order(all_nodes=[node for node in self.nodes if + node not in skip_nodes], + flow_starts=self._flow_starts+self.get_implicit_starter_nodes()) + skip_node_message(self.flow_logger, skip_nodes) + execution_order_message(self.flow_logger, execution_order) performance_mode = self.flow_settings.execution_mode == 'Performance' - for node in self.execution_order: + if self.flow_settings.execution_location == 'local': + OFFLOAD_TO_WORKER.value = False + elif self.flow_settings.execution_location == 'remote': + OFFLOAD_TO_WORKER.value = True + for node in execution_order: node_logger = self.flow_logger.get_node_logger(node.node_id) if self.flow_settings.is_canceled: self.flow_logger.info('Flow canceled') diff --git a/flowfile_core/flowfile_core/flowfile/flow_node/flow_node.py b/flowfile_core/flowfile_core/flowfile/flow_node/flow_node.py index 3a8f1a18..5a34b4e4 100644 --- a/flowfile_core/flowfile_core/flowfile/flow_node/flow_node.py +++ b/flowfile_core/flowfile_core/flowfile/flow_node/flow_node.py @@ -5,6 +5,7 @@ from flowfile_core.utils.arrow_reader import get_read_top_n from flowfile_core.schemas import input_schema, schemas from flowfile_core.configs.flow_logger import NodeLogger +from flowfile_core.configs.settings import SINGLE_FILE_MODE, OFFLOAD_TO_WORKER from flowfile_core.schemas.output_model import TableExample, FileColumn, NodeData from flowfile_core.flowfile.utils import get_hash @@ -734,6 +735,19 @@ def get_example_data(): return get_example_data resulting_data = self.get_resulting_data() + if not performance_mode: + self.results.example_data_generator = example_data_generator() + def example_data_generator(): + example_data = None + + def get_example_data(): + nonlocal example_data + if example_data is None: + example_data = resulting_data.get_sample(100).to_arrow() + return example_data + return get_example_data + resulting_data = self.get_resulting_data() + if not performance_mode: self.results.example_data_generator = example_data_generator() self.node_schema.result_schema = self.results.resulting_data.schema @@ -907,14 +921,8 @@ def execute_node(self, run_location: schemas.ExecutionLocationsLiteral, reset_ca node_logger=node_logger) else: self.results.errors = str(e) - if "Connection refused" in str(e) and "/submit_query/" in str(e): - node_logger.warning("There was an issue connecting to the remote worker, " - "ensure the worker process is running, " - "or change the settings to, so it executes locally") - node_logger.error("Could not execute in the remote worker. (Re)start the worker service, or change settings to local settings.") - else: - node_logger.error(f'Error with running the node: {e}') - elif ((run_location == 'local') and + node_logger.error(f'Error with running the node: {e}') + elif ((run_location == 'local' or SINGLE_FILE_MODE) and (not self.node_stats.has_run_with_current_setup or self.node_template.node_group == "output")): try: node_logger.info('Executing fully locally') diff --git a/flowfile_core/tests/flowfile/analytics/test_analytics_processor.py b/flowfile_core/tests/flowfile/analytics/test_analytics_processor.py index 4e2ba5d3..8e4186a2 100644 --- a/flowfile_core/tests/flowfile/analytics/test_analytics_processor.py +++ b/flowfile_core/tests/flowfile/analytics/test_analytics_processor.py @@ -7,6 +7,21 @@ from pathlib import Path +def find_parent_directory(target_dir_name, start_path=None): + """Navigate up directories until finding the target directory""" + current_path = Path(start_path) if start_path else Path.cwd() + + while current_path != current_path.parent: + if current_path.name == target_dir_name: + return current_path + if current_path.name == target_dir_name: + return current_path + current_path = current_path.parent + + raise FileNotFoundError(f"Directory '{target_dir_name}' not found") +from pathlib import Path + + def find_parent_directory(target_dir_name, start_path=None): """Navigate up directories until finding the target directory""" current_path = Path(start_path) if start_path else Path.cwd() @@ -530,6 +545,9 @@ def test_analytics_processor_from_parquet_file_run_performance(): def test_analytics_processor_from_parquet_file_run_in_one_local_process(): + from flowfile_core.configs.settings import OFFLOAD_TO_WORKER + OFFLOAD_TO_WORKER.value = False + graph = create_graph() graph.flow_settings.execution_location = "local" @@ -546,3 +564,4 @@ def test_analytics_processor_from_parquet_file_run_in_one_local_process(): graph.run_graph() assert node_step.results.analysis_data_generator, 'The node should have to run' assert node_step.results.analysis_data_generator().__len__() == 10_000, 'There should be 1000 rows in the data' + OFFLOAD_TO_WORKER.value = True diff --git a/flowfile_core/tests/flowfile/test_flowfile.py b/flowfile_core/tests/flowfile/test_flowfile.py index 41483d2c..6414b6ae 100644 --- a/flowfile_core/tests/flowfile/test_flowfile.py +++ b/flowfile_core/tests/flowfile/test_flowfile.py @@ -421,6 +421,25 @@ def get_dependency_example(): return graph +def get_dependency_example(): + graph = create_graph() + graph = add_manual_input(graph, data=[{'name': 'John', 'city': 'New York'}, + {'name': 'Jane', 'city': 'Los Angeles'}, + {'name': 'Edward', 'city': 'Chicago'}, + {'name': 'Courtney', 'city': 'Chicago'}] +) + node_promise = input_schema.NodePromise(flow_id=1, node_id=2, node_type='unique') + graph.add_node_promise(node_promise) + + node_connection = input_schema.NodeConnection.create_from_simple_input(from_id=1, to_id=2) + add_connection(graph, node_connection) + input_file = input_schema.NodeUnique(flow_id=1, node_id=2, + unique_input=transform_schema.UniqueInput(columns=['city']) + ) + graph.add_unique(input_file) + return graph + + def ensure_excel_is_read_from_arrow_object(): settings = {'flow_id': 1, 'node_id': 1, 'cache_results': True, 'pos_x': 234.37272727272727, 'pos_y': 271.5272727272727, 'is_setup': True, 'description': '', @@ -1182,6 +1201,26 @@ def test_no_re_calculate_example_data_after_change_no_run(): add_connection(graph, input_schema.NodeConnection.create_from_simple_input(from_id=1, to_id=3)) graph.run_graph() + +def test_no_re_calculate_example_data_after_change_no_run(): + from flowfile_core.configs.settings import OFFLOAD_TO_WORKER + + OFFLOAD_TO_WORKER.value = False + + graph = get_dependency_example() + graph.flow_settings.execution_location = "local" + graph.run_graph() + graph.add_formula( + input_schema.NodeFormula( + flow_id=1, + node_id=3, + function=transform_schema.FunctionInput(transform_schema.FieldInput(name="titleCity"), + function="titlecase([city])"), + ) + ) + add_connection(graph, input_schema.NodeConnection.create_from_simple_input(from_id=1, to_id=3)) + graph.run_graph() + first_data = [row["titleCity"] for row in graph.get_node_data(3, True).main_output.data] assert len(first_data) > 0, 'Data should be present' graph.add_formula( @@ -1203,8 +1242,11 @@ def test_no_re_calculate_example_data_after_change_no_run(): assert after_change_data_after_run != first_data, 'Data should be different after run' + OFFLOAD_TO_WORKER.value = True def test_add_fuzzy_match_only_local(): + from flowfile_core.configs.settings import OFFLOAD_TO_WORKER + OFFLOAD_TO_WORKER.value = False graph = create_graph() graph.flow_settings.execution_location = "local" input_data = [{'name': 'eduward'}, @@ -1227,86 +1269,11 @@ def test_add_fuzzy_match_only_local(): run_info = graph.run_graph() handle_run_info(run_info) output_data = graph.get_node(2).get_resulting_data() - expected_data = FlowDataEngine( - {'name': ['courtney', 'eduward', 'edward', 'eduward', 'edward'], - 'name_right': ['courtney', 'edward', 'edward', 'eduward', 'eduward'], - 'name_vs_name_right_levenshtein': [1.0, 0.8571428571428572, 1.0, 1.0, 0.8571428571428572]} - ) + expected_data = FlowDataEngine([{'name': 'eduward', 'fuzzy_score_0': 0.8571428571428572, 'name_right': 'edward'}, + {'name': 'edward', 'fuzzy_score_0': 1.0, 'name_right': 'edward'}, + {'name': 'eduward', 'fuzzy_score_0': 1.0, 'name_right': 'eduward'}, + {'name': 'edward', 'fuzzy_score_0': 0.8571428571428572, 'name_right': 'eduward'}, + {'name': 'courtney', 'fuzzy_score_0': 1.0, 'name_right': 'courtney'}] + ) output_data.assert_equal(expected_data) - - -def test_changes_execution_mode(flow_logger): - settings = {'flow_id': 1, 'node_id': 1, 'pos_x': 304.8727272727273, - 'pos_y': 549.5272727272727, 'is_setup': True, 'description': 'Test csv', - 'received_file': {'id': None, 'name': 'fake_data.csv', - 'path': str(find_parent_directory("Flowfile")/'flowfile_core/tests/support_files/data/fake_data.csv'), - 'directory': None, 'analysis_file_available': False, 'status': None, - 'file_type': 'csv', 'fields': [], 'reference': '', 'starting_from_line': 0, - 'delimiter': ',', 'has_headers': True, 'encoding': 'utf-8', 'parquet_ref': None, - 'row_delimiter': '', 'quote_char': '', 'infer_schema_length': 20000, - 'truncate_ragged_lines': False, 'ignore_errors': False, 'sheet_name': None, - 'start_row': 0, 'start_column': 0, 'end_row': 0, 'end_column': 0, - 'type_inference': False}} - graph = create_graph() - flow_logger.warning(str(graph)) - add_node_promise_on_type(graph, 'read', 1) - input_file = input_schema.NodeRead(**settings) - graph.add_read(input_file) - run_info = graph.run_graph() - handle_run_info(run_info) - graph.add_select(select_settings=input_schema.NodeSelect(flow_id=1, node_id=2, - select_input=[transform_schema.SelectInput("City")], - keep_missing=True)) - add_connection(graph, input_schema.NodeConnection.create_from_simple_input(1, 2)) - explain_node_2 = graph.get_node(2).get_resulting_data().data_frame.explain() - assert "flowfile_core/tests/support_files/data/fake_data.csv" not in explain_node_2 - graph.execution_location = "local" - - explain_node_2 = graph.get_node(2).get_resulting_data().data_frame.explain() - # now it should read from the actual source, since we do not cache the data with the external worker - - assert "flowfile_core/tests/support_files/data/fake_data.csv" in explain_node_2 - - - -def test_fuzzy_match_schema_predict(flow_logger): - graph = create_graph() - input_data = [{'name': 'eduward'}, - {'name': 'edward'}, - {'name': 'courtney'}] - add_manual_input(graph, data=input_data) - add_node_promise_on_type(graph, 'fuzzy_match', 2) - left_connection = input_schema.NodeConnection.create_from_simple_input(1, 2) - right_connection = input_schema.NodeConnection.create_from_simple_input(1, 2) - right_connection.input_connection.connection_class = 'input-1' - add_connection(graph, left_connection) - add_connection(graph, right_connection) - data = {'flow_id': 1, 'node_id': 2, 'cache_results': False, 'join_input': - {'join_mapping': [{'left_col': 'name', 'right_col': 'name', 'threshold_score': 75, 'fuzzy_type': 'levenshtein', - 'valid': True}], - 'left_select': {'renames': [{'old_name': 'name', 'new_name': 'name', 'join_key': True, }]}, - 'right_select': {'renames': [{'old_name': 'name', 'new_name': 'name', 'join_key': True, }]}, - 'how': 'inner'}, 'auto_keep_all': True, 'auto_keep_right': True, 'auto_keep_left': True} - graph.add_fuzzy_match(input_schema.NodeFuzzyMatch(**data)) - node = graph.get_node(2) - org_func = node._function - - def test_func(*args, **kwargs): - raise ValueError('This is a test error') - node._function = test_func - # enforce to calculate the data based on the schema - predicted_data = node.get_predicted_resulting_data() - assert predicted_data.columns == ['name', 'name_right', 'name_vs_name_right_levenshtein'] - input_data = [{'name': 'eduward', 'other_field': 'test'}, - {'name': 'edward'}, - {'name': 'courtney'}] - add_manual_input(graph, data=input_data) - sleep(0.1) - predicted_data = node.get_predicted_resulting_data() # Gives none because the schema predict is programmed to run only once. - flow_logger.info("This is the test") - flow_logger.info(str(len(predicted_data.columns))) - flow_logger.warning(str(predicted_data.collect())) - assert len(predicted_data.columns) == 5 - node._function = org_func # Restore the original function - result = node.get_resulting_data() - assert result.columns == predicted_data.columns + OFFLOAD_TO_WORKER.value = True \ No newline at end of file diff --git a/flowfile_frontend/package.json b/flowfile_frontend/package.json index 8f9b8f61..e07e6ebc 100644 --- a/flowfile_frontend/package.json +++ b/flowfile_frontend/package.json @@ -1,6 +1,6 @@ { "name": "Flowfile", - "version": "0.3.9", + "version": "0.3.8", "description": "A tool for designing and executing data flows", "main": "main/main.js", "scripts": { diff --git a/local_data/local_products.parquet b/local_data/local_products.parquet new file mode 100644 index 0000000000000000000000000000000000000000..067b839aadbd41c23bceec4a8ac80ef15233e0f8 GIT binary patch literal 1999 zcmbtVYfw{16u!Bs2&jBq8oxkNLbLiDl-48tS`L!RV|@FlL;4X((W*L~Gf8tNh?!_qP!1*iSBJ7KfW zYcuCa&h1)Ie*a3VG^np3a!r5Z45|3cN3&P7=d^|gp57)--YT3C{zh+gzijgqiw$KRdeAD+_^I<;qm`(z)XBvjO$_e1X0l|wmKRt#oe&bp)=$h^4xLdN&$ z-=&>bC{*b<<^o|MY?oQH(8eR&33p*6CSj`~T10#{%gLY>!568gx?nEw(92?Z_*Yiu z0||f1rj4tP7R?Q)*`!|7s+?W_{_115?F*V}isEK&U)oZqJE8kL_dvZqVgIF)j>eLc zcOO-BHyILVy;|M7$9PIVZ`ZjNbJ8c-pALL%{rZ=(u4@PEDNshZ3L-Ffo`BCW7-_Xd zWzN&82`<^oA}hVfQCBfL`oD0(s;dcW3c(&PxhTArg|Q*#SUqhn(v}puL4FZUuQ72T zlSmh9L^7IInj0l!8pFA`+YkiCaODT#5mT@@-?1mF?)hDkQ)mK;j)1DWr3nD( z#@t^8WEQ}YTEQ_Wt;Q=7O2LdAsM=^5Eo^Xr(wLy14M6gEDcHMKX$Dny>%-a znP1y)4j_ACt1^PsGi^ZXWdv<9cuiKA?C-^cZ_YrP`&QlBLu&vg%DANle!zBF4_^N= z({9SNvMTC^)&lu8b*E!g(QkWXxJ`rdBwf(D`^AS!@0C(zxsEM`;30(6b5Od_(5W9a zU#PgLRXV^P1I%*U%Iy{~46#(5wLZ1HSx~IGS;Vp2Fg$Uzm5R%~$|W>w9p5}V_MVc` z$MWpT^b@+|{Q0>6Gvu#L>yUFpm4xD{;j!iH3b124q?I;7xZK!m`9QZbx2rr;1~OZ` z!2!$Z`khgs_I((;%AcS$w#-c1Zj7NJZlz+s0b%8LNL^r}UWi!8`i!Tk?k^(~fl2p1MWn zHcuMeJNvJe-Xlh}#4tweY-i|wqQ#$+KIcddv4#J4D#<&@-GC1fjftDRg)je5 zWnQMg?cKO(u zxk{!e6BSEQaFOJ9tACsYp4W8XhHgrQ7<$nWd&T9q$ literal 0 HcmV?d00001 diff --git a/pyproject.toml b/pyproject.toml index 4c67aed3..ff3c02fc 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "Flowfile" -version = "0.3.7" +version = "0.3.8" description = "Project combining flowfile core (backend) and flowfile_worker (compute offloader) and flowfile_frame (api)" readme = "readme-pypi.md" authors = ["Edward van Eechoud "] From 8e2353b8ca45efc295d2ff16099333afda4f8dac Mon Sep 17 00:00:00 2001 From: Edward van Eechoud <41021650+Edwardvaneechoud@users.noreply.github.com> Date: Fri, 15 Aug 2025 12:17:00 +0200 Subject: [PATCH 07/31] Fixing handling of pivot (#105) * Fixing handling of pivot * Fixing test for pivot table --- local_data/local_products.parquet | Bin 1999 -> 0 bytes 1 file changed, 0 insertions(+), 0 deletions(-) delete mode 100644 local_data/local_products.parquet diff --git a/local_data/local_products.parquet b/local_data/local_products.parquet deleted file mode 100644 index 067b839aadbd41c23bceec4a8ac80ef15233e0f8..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1999 zcmbtVYfw{16u!Bs2&jBq8oxkNLbLiDl-48tS`L!RV|@FlL;4X((W*L~Gf8tNh?!_qP!1*iSBJ7KfW zYcuCa&h1)Ie*a3VG^np3a!r5Z45|3cN3&P7=d^|gp57)--YT3C{zh+gzijgqiw$KRdeAD+_^I<;qm`(z)XBvjO$_e1X0l|wmKRt#oe&bp)=$h^4xLdN&$ z-=&>bC{*b<<^o|MY?oQH(8eR&33p*6CSj`~T10#{%gLY>!568gx?nEw(92?Z_*Yiu z0||f1rj4tP7R?Q)*`!|7s+?W_{_115?F*V}isEK&U)oZqJE8kL_dvZqVgIF)j>eLc zcOO-BHyILVy;|M7$9PIVZ`ZjNbJ8c-pALL%{rZ=(u4@PEDNshZ3L-Ffo`BCW7-_Xd zWzN&82`<^oA}hVfQCBfL`oD0(s;dcW3c(&PxhTArg|Q*#SUqhn(v}puL4FZUuQ72T zlSmh9L^7IInj0l!8pFA`+YkiCaODT#5mT@@-?1mF?)hDkQ)mK;j)1DWr3nD( z#@t^8WEQ}YTEQ_Wt;Q=7O2LdAsM=^5Eo^Xr(wLy14M6gEDcHMKX$Dny>%-a znP1y)4j_ACt1^PsGi^ZXWdv<9cuiKA?C-^cZ_YrP`&QlBLu&vg%DANle!zBF4_^N= z({9SNvMTC^)&lu8b*E!g(QkWXxJ`rdBwf(D`^AS!@0C(zxsEM`;30(6b5Od_(5W9a zU#PgLRXV^P1I%*U%Iy{~46#(5wLZ1HSx~IGS;Vp2Fg$Uzm5R%~$|W>w9p5}V_MVc` z$MWpT^b@+|{Q0>6Gvu#L>yUFpm4xD{;j!iH3b124q?I;7xZK!m`9QZbx2rr;1~OZ` z!2!$Z`khgs_I((;%AcS$w#-c1Zj7NJZlz+s0b%8LNL^r}UWi!8`i!Tk?k^(~fl2p1MWn zHcuMeJNvJe-Xlh}#4tweY-i|wqQ#$+KIcddv4#J4D#<&@-GC1fjftDRg)je5 zWnQMg?cKO(u zxk{!e6BSEQaFOJ9tACsYp4W8XhHgrQ7<$nWd&T9q$ From c1c22ea5093bae1f85fff18d50ed992b7fae4fa6 Mon Sep 17 00:00:00 2001 From: Bernardo Fernandes <33932671+Bennylave@users.noreply.github.com> Date: Fri, 22 Aug 2025 15:31:45 +0100 Subject: [PATCH 08/31] Adding print_tree method to FlowGraph (#103) * Adding print_tree method to FlowGraph * Adding method print_tree() to FlowGraph * Adding method print_tree() to FlowGraph * Changes to node ordering in print_tree method * Changes to node ordering in print_tree method * Changes to node ordering of print_tree * Changes to node ordering of print_tree * retrigger checks * Adding tests for print_tree method * Adding tests for print_tree method * Adding tests for print_tree method * Adding tests for print_tree method * Adding tests for print_tree method * Adding tests for print_tree method * Adding tests for print_tree method * Adding tests for print_tree method * Adding tests for print_tree method * Merging skip_nodes and determine_execution_order * Merging skip_nodes and determine_execution_order * Merging skip_nodes and determine_execution_order * Merging skip_nodes and determine_execution_order * Merging skip_nodes and determine_execution_order * Merging skip_nodes and determine_execution_order * Merging skip_nodes and determine_execution_order * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Refactoring graph_tree method --------- Co-authored-by: Bernardo Fernandes --- .../flowfile_core/flowfile/flow_graph.py | 122 ++------- .../flowfile_core/flowfile/util/graph_tree.py | 233 ++++++++++++++++++ .../tests/flowfile/test_code_generator.py | 99 ++++++++ 3 files changed, 355 insertions(+), 99 deletions(-) create mode 100644 flowfile_core/flowfile_core/flowfile/util/graph_tree.py diff --git a/flowfile_core/flowfile_core/flowfile/flow_graph.py b/flowfile_core/flowfile_core/flowfile/flow_graph.py index f4f7d026..cadd8702 100644 --- a/flowfile_core/flowfile_core/flowfile/flow_graph.py +++ b/flowfile_core/flowfile_core/flowfile/flow_graph.py @@ -32,10 +32,7 @@ from flowfile_core.flowfile.analytics.utils import create_graphic_walker_node_from_node_promise from flowfile_core.flowfile.flow_node.flow_node import FlowNode from flowfile_core.flowfile.util.execution_orderer import compute_execution_plan -from flowfile_core.flowfile.graph_tree.graph_tree import (add_un_drawn_nodes, build_flow_paths, - build_node_info, calculate_depth, - define_node_connections, draw_merged_paths, - draw_standalone_paths, group_nodes_by_depth) +from flowfile_core.flowfile.util.graph_tree import add_undrawn_nodes, build_flow_paths, build_node_info, calculate_depth, define_node_connections, draw_merged_paths, draw_standalone_paths, group_nodes_by_depth, trace_path from flowfile_core.flowfile.flow_data_engine.polars_code_parser import polars_code_parser from flowfile_core.flowfile.flow_data_engine.subprocess_operations.subprocess_operations import (ExternalDatabaseFetcher, ExternalDatabaseWriter, @@ -229,18 +226,7 @@ def __init__(self, elif input_flow is not None: self.add_datasource(input_file=input_flow) - @property - def flow_settings(self) -> schemas.FlowSettings: - return self._flow_settings - - @flow_settings.setter - def flow_settings(self, flow_settings: schemas.FlowSettings): - if ( - (self._flow_settings.execution_location != flow_settings.execution_location) or - (self._flow_settings.execution_mode != flow_settings.execution_mode) - ): - self.reset() - self._flow_settings = flow_settings + skip_nodes, execution_order = compute_execution_plan(nodes=self.nodes,flow_starts=self._flow_starts+self.get_implicit_starter_nodes()) def add_node_promise(self, node_promise: input_schema.NodePromise): """Adds a placeholder node to the graph that is not yet fully configured. @@ -258,64 +244,6 @@ def placeholder(n: FlowNode = None): self.add_node_step(node_id=node_promise.node_id, node_type=node_promise.node_type, function=placeholder, setting_input=node_promise) - def print_tree(self, show_schema=False, show_descriptions=False): - """ - Print flow_graph as a tree. - """ - max_node_id = max(self._node_db.keys()) - - tree = "" - tabs = 0 - tab_counter = 0 - for node in self.nodes: - tab_counter += 1 - node_input = node.setting_input - operation = str(self._node_db[node_input.node_id]).split("(")[1][:-1].replace("_", " ").title() - - if operation == "Formula": - operation = "With Columns" - - tree += str(operation) + " (id=" + str(node_input.node_id) + ")" - - if show_descriptions & show_schema: - raise ValueError('show_descriptions and show_schema cannot be True simultaneously') - if show_descriptions: - tree += ": " + str(node_input.description) - elif show_schema: - tree += " -> [" - if operation == "Manual Input": - schema = ", ".join([str(i.name) + ": " + str(i.data_type) for i in node_input.raw_data_format.columns]) - tree += schema - elif operation == "With Columns": - tree_with_col_schema = ", " + node_input.function.field.name + ": " + node_input.function.field.data_type - tree += schema + tree_with_col_schema - elif operation == "Filter": - index = node_input.filter_input.advanced_filter.find("]") - filtered_column = str(node_input.filter_input.advanced_filter[1:index]) - schema = re.sub('({str(filtered_column)}: [A-Za-z0-9]+\,\s)', "", schema) - tree += schema - elif operation == "Group By": - for col in node_input.groupby_input.agg_cols: - schema = re.sub(str(col.old_name) + ': [a-z0-9]+\, ', "", schema) - tree += schema - tree += "]" - else: - if operation == "Manual Input": - tree += ": " + str(node_input.raw_data_format.data) - elif operation == "With Columns": - tree += ": " + str(node_input.function) - elif operation == "Filter": - tree += ": " + str(node_input.filter_input.advanced_filter) - elif operation == "Group By": - tree += ": groupby=[" + ", ".join([col.old_name for col in node_input.groupby_input.agg_cols if col.agg == "groupby"]) + "], " - tree += "agg=[" + ", ".join([str(col.agg) + "(" + str(col.old_name) + ")" for col in node_input.groupby_input.agg_cols if col.agg != "groupby"]) + "]" - - if node_input.node_id < max_node_id: - tree += "\n" + "# " + " "*3*(tabs-1) + "|___ " - print("\n"*2) - - return print(tree) - def apply_layout(self, y_spacing: int = 150, x_spacing: int = 200, initial_y: int = 100): """Calculates and applies a layered layout to all nodes in the graph. @@ -387,36 +315,41 @@ def __repr__(self): def print_tree(self): """Print flow_graph as a visual tree structure, showing the DAG relationships with ASCII art.""" if not self._node_db: - self.flow_logger.info("Empty flow graph") + print("Empty flow graph") return - + # Build node information node_info = build_node_info(self.nodes) # Calculate depths for all nodes for node_id in node_info: calculate_depth(node_id, node_info) - + # Group nodes by depth depth_groups, max_depth = group_nodes_by_depth(node_info) # Sort nodes within each depth group for depth in depth_groups: depth_groups[depth].sort() - + # Create the main flow visualization - lines = ["=" * 80, "Flow Graph Visualization", "=" * 80, ""] - + lines = [] + lines.append("=" * 80) + lines.append("Flow Graph Visualization") + lines.append("=" * 80) + lines.append("") + # Track which nodes connect to what merge_points = define_node_connections(node_info) # Build the flow paths - + paths = build_flow_paths(node_info,self._flow_starts, merge_points) + # Find the maximum label length for each depth level max_label_length = {} for depth in range(max_depth + 1): if depth in depth_groups: - max_len = max(len(node_info[nid].label) for nid in depth_groups[depth]) + max_len = max(len(node_info[nid]['label']) for nid in depth_groups[depth]) max_label_length[depth] = max_len # Draw the paths @@ -427,9 +360,9 @@ def print_tree(self): paths_by_merge = {} standalone_paths = [] - # Build flow paths + #Build flow paths paths = build_flow_paths(node_info, self._flow_starts, merge_points) - + # Define paths to merge and standalone paths for path in paths: if len(path) > 1 and path[-1] in merge_points and len(merge_points[path[-1]]) > 1: @@ -441,21 +374,19 @@ def print_tree(self): standalone_paths.append(path) # Draw merged paths - draw_merged_paths(node_info, merge_points, paths_by_merge, merge_drawn, drawn_nodes, lines) + draw_merged_paths(node_info, merge_points, paths_by_merge,merge_drawn, drawn_nodes, lines) # Draw standlone paths draw_standalone_paths(drawn_nodes, standalone_paths, lines, node_info) # Add undrawn nodes - add_un_drawn_nodes(drawn_nodes, node_info, lines) + add_undrawn_nodes(drawn_nodes, node_info, lines) try: - skip_nodes, ordered_nodes = compute_execution_plan( - nodes=self.nodes, - flow_starts=self._flow_starts+self.get_implicit_starter_nodes()) + skip_nodes, ordered_nodes = compute_execution_plan(nodes=self.nodes,flow_starts=self._flow_starts+self.get_implicit_starter_nodes()) if ordered_nodes: for i, node in enumerate(ordered_nodes, 1): - lines.append(f" {i:3d}. {node_info[node.node_id].label}") + lines.append(f" {i:3d}. {node_info[node.node_id]['label']}") except Exception as e: lines.append(f" Could not determine execution order: {e}") @@ -1683,18 +1614,11 @@ def run_graph(self) -> RunInformation | None: self.end_datetime = None self.latest_run_info = None self.flow_logger.info('Starting to run flowfile flow...') - skip_nodes = [node for node in self.nodes if not node.is_correct] - skip_nodes.extend([lead_to_node for node in skip_nodes for lead_to_node in node.leads_to_nodes]) - execution_order = determine_execution_order(all_nodes=[node for node in self.nodes if - node not in skip_nodes], - flow_starts=self._flow_starts+self.get_implicit_starter_nodes()) + skip_nodes, execution_order = compute_execution_plan(nodes=self.nodes, flow_starts=self._flow_starts+self.get_implicit_starter_nodes()) + skip_node_message(self.flow_logger, skip_nodes) execution_order_message(self.flow_logger, execution_order) performance_mode = self.flow_settings.execution_mode == 'Performance' - if self.flow_settings.execution_location == 'local': - OFFLOAD_TO_WORKER.value = False - elif self.flow_settings.execution_location == 'remote': - OFFLOAD_TO_WORKER.value = True for node in execution_order: node_logger = self.flow_logger.get_node_logger(node.node_id) if self.flow_settings.is_canceled: diff --git a/flowfile_core/flowfile_core/flowfile/util/graph_tree.py b/flowfile_core/flowfile_core/flowfile/util/graph_tree.py new file mode 100644 index 00000000..9231ff0c --- /dev/null +++ b/flowfile_core/flowfile_core/flowfile/util/graph_tree.py @@ -0,0 +1,233 @@ + +# Calculate depth for each node +def calculate_depth(node_id, node_info, visited=None): + """Calculates the depth of each node.""" + + if visited is None: + visited = set() + if node_id in visited: + return node_info[node_id]['depth'] + visited.add(node_id) + + max_input_depth = -1 + inputs = node_info[node_id]['inputs'] + + for main_id in inputs['main']: + max_input_depth = max(max_input_depth, calculate_depth(main_id, node_info, visited)) + if inputs['left']: + max_input_depth = max(max_input_depth, calculate_depth(inputs['left'], node_info, visited)) + if inputs['right']: + max_input_depth = max(max_input_depth, calculate_depth(inputs['right'], node_info, visited)) + + node_info[node_id]['depth'] = max_input_depth + 1 + return node_info[node_id]['depth'] + + +# Trace paths from each root +def trace_path(node_id, node_info, merge_points, current_path=None): + """Define the trace of each node path""" + if current_path is None: + current_path = [] + + current_path = current_path + [node_id] + outputs = node_info[node_id]['outputs'] + + if not outputs: + # End of path + return [current_path] + + # If this node has multiple outputs or connects to a merge point, branch + all_paths = [] + for output_id in outputs: + if output_id in merge_points and len(merge_points[output_id]) > 1: + # This is a merge point, end this path here + all_paths.append(current_path + [output_id]) + else: + # Continue the path + all_paths.extend(trace_path(output_id, node_info, merge_points, current_path)) + + return all_paths + +def build_node_info(nodes): + """Builds node information used to construct the graph tree.""" + + node_info = {} + + for node in nodes: + node_id = node.node_id + + # Get node label + operation = node.node_type.replace("_", " ").title() if node.node_type else "Unknown" + label = f"{operation} (id={node_id})" + if hasattr(node, 'setting_input') and hasattr(node.setting_input, 'description'): + if node.setting_input.description: + desc = node.setting_input.description + if len(desc) > 20: # Truncate long descriptions + desc = desc[:17] + "..." + label = f"{operation} ({node_id}): {desc}" + + # Get inputs and outputs + inputs = { + 'main': [n.node_id for n in (node.node_inputs.main_inputs or [])], + 'left': node.node_inputs.left_input.node_id if node.node_inputs.left_input else None, + 'right': node.node_inputs.right_input.node_id if node.node_inputs.right_input else None + } + outputs = [n.node_id for n in node.leads_to_nodes] + + node_info[node_id] = { + 'label': label, + 'short_label': f"{operation} ({node_id})", + 'inputs': inputs, + 'outputs': outputs, + 'depth': 0 + } + + return node_info + +def group_nodes_by_depth(node_info:dict): + """Groups each node by depth""" + + depth_groups = {} + max_depth = 0 + for node_id, info in node_info.items(): + depth = info['depth'] + max_depth = max(max_depth, depth) + if depth not in depth_groups: + depth_groups[depth] = [] + depth_groups[depth].append(node_id) + + return depth_groups, max_depth + +def define_node_connections(node_info:dict): + """Defines node connections to merge""" + + merge_points = {} # target_id -> list of source_ids + for node_id, info in node_info.items(): + for output_id in info['outputs']: + if output_id not in merge_points: + merge_points[output_id] = [] + merge_points[output_id].append(node_id) + + return merge_points + +def build_flow_paths(node_info:dict, flow_starts, merge_points:dict): + """Build the flow paths to be drawn""" + paths = [] # List of paths through the graph + visited_in_paths = set() + + # Find all root nodes (no inputs) + root_nodes = [nid for nid, info in node_info.items() + if not info['inputs']['main'] and not info['inputs']['left'] and not info['inputs']['right']] + + if not root_nodes and flow_starts: + root_nodes = [n.node_id for n in flow_starts] + + # Get all paths + for root_id in root_nodes: + paths.extend(trace_path(root_id, node_info, merge_points)) + + return paths + +def group_paths(paths:list, merge_points:dict): + """Groups each node path.""" + paths_by_merge = {} + standalone_paths = [] + + for path in paths: + if len(path) > 1 and path[-1] in merge_points and len(merge_points[path[-1]]) > 1: + merge_id = path[-1] + if merge_id not in paths_by_merge: + paths_by_merge[merge_id] = [] + paths_by_merge[merge_id].append(path) + else: + standalone_paths.append(path) + return paths_by_merge, standalone_paths + +def draw_merged_paths(node_info:dict, merge_points:dict, paths_by_merge:dict, merge_drawn:set, drawn_nodes:set, lines:str): + """Draws paths for each node that merges.""" + for merge_id, merge_paths in paths_by_merge.items(): + if merge_id in merge_drawn: + continue + + merge_info = node_info[merge_id] + sources = merge_points[merge_id] + + # Draw each source path leading to the merge + for i, source_id in enumerate(sources): + # Find the path containing this source + source_path = None + for path in merge_paths: + if source_id in path: + source_path = path[:path.index(source_id) + 1] + break + + if source_path: + # Build the line for this path + line_parts = [] + for j, nid in enumerate(source_path): + if j == 0: + line_parts.append(node_info[nid]['label']) + else: + line_parts.append(f" ──> {node_info[nid]['short_label']}") + + # Add the merge arrow + if i == 0: + # First source + line = "".join(line_parts) + " ─────┐" + lines.append(line) + elif i == len(sources) - 1: + # Last source + line = "".join(line_parts) + " ─────┴──> " + merge_info['label'] + lines.append(line) + + # Continue with the rest of the path after merge + remaining = node_info[merge_id]['outputs'] + while remaining: + next_id = remaining[0] + lines[-1] += f" ──> {node_info[next_id]['label']}" + remaining = node_info[next_id]['outputs'] + drawn_nodes.add(next_id) + else: + # Middle sources + line = "".join(line_parts) + " ─────┤" + lines.append(line) + + for nid in source_path: + drawn_nodes.add(nid) + + drawn_nodes.add(merge_id) + merge_drawn.add(merge_id) + lines.append("") # Add spacing between merge groups + return paths_by_merge + +def draw_standalone_paths(drawn_nodes:set, standalone_paths:list, lines:str, node_info:dict): + """ Draws paths that do not merge.""" + # Draw standalone paths + for path in standalone_paths: + if all(nid in drawn_nodes for nid in path): + continue + + line_parts = [] + for i, node_id in enumerate(path): + if node_id not in drawn_nodes: + if i == 0: + line_parts.append(node_info[node_id]['label']) + else: + line_parts.append(f" ──> {node_info[node_id]['short_label']}") + drawn_nodes.add(node_id) + + if line_parts: + lines.append("".join(line_parts)) + +def add_undrawn_nodes(drawn_nodes:set, node_info:dict, lines:str): + """Adds isolated nodes if exists.""" + # Add any remaining undrawn nodes + for node_id in node_info: + if node_id not in drawn_nodes: + lines.append(node_info[node_id]['label'] + " (isolated)") + + lines.append("") + lines.append("=" * 80) + lines.append("Execution Order") + lines.append("=" * 80) + diff --git a/flowfile_core/tests/flowfile/test_code_generator.py b/flowfile_core/tests/flowfile/test_code_generator.py index 730d264f..4c3191b9 100644 --- a/flowfile_core/tests/flowfile/test_code_generator.py +++ b/flowfile_core/tests/flowfile/test_code_generator.py @@ -2415,6 +2415,105 @@ def test_aggregation_functions(): expected_df = flow.get_node(2).get_resulting_data().data_frame assert_frame_equal(result_df, expected_df, check_row_order=False) +def test_graph_tree(capsys): + """ Test made to the FlowGraph's print_tree method""" + + flow = create_basic_flow() + + manual_input_data_1 = [ + [1, 2, 3], + ["North", "South", "East"], + [10, 5, 8], + [150, 300, 200] + ] + + manual_input_data_2 = [ + [4, 5, 6], + ["West", "North", "South"], + [15, 12, 7], + [100, 200, 250] + ] + + manual_input_data_3 = [ + [7, 8, 9], + ["East", "West", "North"], + [10, 6, 3], + [180, 220, 350] + ] + + manual_input_data_4 = [ + [10, 11, 12], + ["South", "East", "West"], + [9, 4, 7], + [280, 260, 230] + ] + + for i,j in zip([manual_input_data_1,manual_input_data_2,manual_input_data_3,manual_input_data_4], range(1,5)): + data = input_schema.NodeManualInput( + flow_id=1, + node_id=j, + raw_data_format=input_schema.RawData( + columns=[ + input_schema.MinimalFieldInfo(name="id", data_type="Integer"), + input_schema.MinimalFieldInfo(name="region", data_type="String"), + input_schema.MinimalFieldInfo(name="quantity", data_type="Integer"), + input_schema.MinimalFieldInfo(name="price", data_type="Integer") + ], + data=i + ) + ) + flow.add_manual_input(data) + + # Add union node + union_node = input_schema.NodeUnion( + flow_id=1, + node_id=5, + depending_on_ids=[1, 2, 3, 4], + union_input=transform_schema.UnionInput(mode="relaxed") + ) + flow.add_union(union_node) + for i in range(1, 5): + connection = input_schema.NodeConnection.create_from_simple_input(i, 5, 'main') + add_connection(flow, connection) + + # Add group by node + groupby_node = input_schema.NodeGroupBy( + flow_id=1, + node_id=6, + depending_on_id=1, + groupby_input=transform_schema.GroupByInput( + agg_cols=[ + transform_schema.AggColl("region", "groupby"), + transform_schema.AggColl("quantity", "sum", "total_quantity"), + transform_schema.AggColl("price", "mean", "avg_price"), + transform_schema.AggColl("quantity", "count", "num_transactions") + ] + ) + ) + flow.add_group_by(groupby_node) + add_connection(flow, node_connection=input_schema.NodeConnection.create_from_simple_input(5, 6, 'main')) + + code = export_flow_to_polars(flow) + + verify_code_contains(code, + "df_1 = pl.LazyFrame(", + "df_2 = pl.LazyFrame(", + "df_3 = pl.LazyFrame(", + "df_4 = pl.LazyFrame(", + "df_5 = pl.concat(", + "df_6 = df_5.group_by(", + ) + verify_if_execute(code) + result_df = get_result_from_generated_code(code) + expected_df = flow.get_node(6).get_resulting_data().data_frame + assert_frame_equal(result_df, expected_df, check_row_order=False) + + flow.print_tree() + stdout = capsys.readouterr().out + + tree_elements = ["(id=", ">", "1.", "Execution Order", "Flow Graph Visualization", "="] + for element in tree_elements: + assert element in stdout def test_flow_with_disconnected_nodes(): """Test a flow where some nodes might not be connected properly""" From 5345bb07cfe4dde3319ed60c484fbcd2db0c9e30 Mon Sep 17 00:00:00 2001 From: Edward van Eechoud <41021650+Edwardvaneechoud@users.noreply.github.com> Date: Fri, 22 Aug 2025 17:48:21 +0200 Subject: [PATCH 09/31] Migrating to pl-fuzzy-frame-match (#108) * Migrating to pl-fuzzy-frame-match * adding fuzzy match * Adding fuzzy match method to flowgraph * Schema callback changes in fuzzy match * Fixing tests and increasing overlap between generator and flowfile * Adapted pl-fuzzy-frame-match changes in branch * fix issue with test * adding prints to the test to debug * Make the schema_callback.py threadsafe and the object in fuzzy matching as well. * remove warning in _handle_fuzzy_match * increasing version fuzzy frame match * reverting change in the execution * Improve threading and order fuzzy match results based on incoming data --- flowfile_core/tests/flowfile/test_flowfile.py | 76 ++++++++++++++----- flowfile_frame/flowfile_frame/__init__.py | 4 + pyproject.toml | 2 +- 3 files changed, 61 insertions(+), 21 deletions(-) diff --git a/flowfile_core/tests/flowfile/test_flowfile.py b/flowfile_core/tests/flowfile/test_flowfile.py index 6414b6ae..dc6e3951 100644 --- a/flowfile_core/tests/flowfile/test_flowfile.py +++ b/flowfile_core/tests/flowfile/test_flowfile.py @@ -14,25 +14,13 @@ from flowfile_core.flowfile.flow_data_engine.flow_file_column.main import FlowfileColumn from flowfile_core.flowfile.schema_callbacks import pre_calculate_pivot_schema + import pytest from pathlib import Path from typing import List, Dict, Literal from copy import deepcopy from time import sleep -def find_parent_directory(target_dir_name,): - """Navigate up directories until finding the target directory""" - current_path = Path(__file__) - - while current_path != current_path.parent: - if current_path.name == target_dir_name: - return current_path - if current_path.name == target_dir_name: - return current_path - current_path = current_path.parent - - raise FileNotFoundError(f"Directory '{target_dir_name}' not found") - try: from tests.flowfile_core_test_utils import (is_docker_available, ensure_password_is_available) from tests.utils import ensure_cloud_storage_connection_is_available_and_get_connection @@ -337,8 +325,11 @@ def test_add_fuzzy_match(): def test_add_fuzzy_match_lcoal(): + from flowfile_core.configs.settings import OFFLOAD_TO_WORKER + graph = create_graph() graph.flow_settings.execution_location = "local" + OFFLOAD_TO_WORKER.value = False input_data = [{'name': 'eduward'}, {'name': 'edward'}, {'name': 'courtney'}] @@ -365,6 +356,7 @@ def test_add_fuzzy_match_lcoal(): 'name_vs_name_right_levenshtein': [1.0, 0.8571428571428572, 1.0, 0.8571428571428572, 1.0]} ) output_data.assert_equal(expected_data) + OFFLOAD_TO_WORKER.value = True def test_add_record_count(): @@ -1128,6 +1120,7 @@ def test_schema_callback_cloud_read(flow_logger): graph.add_cloud_storage_reader(node_settings) node = graph.get_node(1) assert node.schema_callback._future is not None, 'Schema callback future should be set' + assert node.schema_callback._future is not None, 'Schema callback future should be set' assert len(node.schema_callback()) == 4, 'Schema should have 4 columns' original_schema_callback = id(node.schema_callback) graph.add_cloud_storage_reader(node_settings) @@ -1244,6 +1237,7 @@ def test_no_re_calculate_example_data_after_change_no_run(): OFFLOAD_TO_WORKER.value = True + def test_add_fuzzy_match_only_local(): from flowfile_core.configs.settings import OFFLOAD_TO_WORKER OFFLOAD_TO_WORKER.value = False @@ -1269,11 +1263,53 @@ def test_add_fuzzy_match_only_local(): run_info = graph.run_graph() handle_run_info(run_info) output_data = graph.get_node(2).get_resulting_data() - expected_data = FlowDataEngine([{'name': 'eduward', 'fuzzy_score_0': 0.8571428571428572, 'name_right': 'edward'}, - {'name': 'edward', 'fuzzy_score_0': 1.0, 'name_right': 'edward'}, - {'name': 'eduward', 'fuzzy_score_0': 1.0, 'name_right': 'eduward'}, - {'name': 'edward', 'fuzzy_score_0': 0.8571428571428572, 'name_right': 'eduward'}, - {'name': 'courtney', 'fuzzy_score_0': 1.0, 'name_right': 'courtney'}] - ) + expected_data = FlowDataEngine( + {'name': ['courtney', 'eduward', 'edward', 'eduward', 'edward'], + 'name_right': ['courtney', 'edward', 'edward', 'eduward', 'eduward'], + 'name_vs_name_right_levenshtein': [1.0, 0.8571428571428572, 1.0, 1.0, 0.8571428571428572]} + ) output_data.assert_equal(expected_data) - OFFLOAD_TO_WORKER.value = True \ No newline at end of file + OFFLOAD_TO_WORKER.value = True + + +def test_fuzzy_match_schema_predict(flow_logger): + graph = create_graph() + input_data = [{'name': 'eduward'}, + {'name': 'edward'}, + {'name': 'courtney'}] + add_manual_input(graph, data=input_data) + add_node_promise_on_type(graph, 'fuzzy_match', 2) + left_connection = input_schema.NodeConnection.create_from_simple_input(1, 2) + right_connection = input_schema.NodeConnection.create_from_simple_input(1, 2) + right_connection.input_connection.connection_class = 'input-1' + add_connection(graph, left_connection) + add_connection(graph, right_connection) + data = {'flow_id': 1, 'node_id': 2, 'cache_results': False, 'join_input': + {'join_mapping': [{'left_col': 'name', 'right_col': 'name', 'threshold_score': 75, 'fuzzy_type': 'levenshtein', + 'valid': True}], + 'left_select': {'renames': [{'old_name': 'name', 'new_name': 'name', 'join_key': True, }]}, + 'right_select': {'renames': [{'old_name': 'name', 'new_name': 'name', 'join_key': True, }]}, + 'how': 'inner'}, 'auto_keep_all': True, 'auto_keep_right': True, 'auto_keep_left': True} + graph.add_fuzzy_match(input_schema.NodeFuzzyMatch(**data)) + node = graph.get_node(2) + org_func = node._function + + def test_func(*args, **kwargs): + raise ValueError('This is a test error') + node._function = test_func + # enforce to calculate the data based on the schema + predicted_data = node.get_predicted_resulting_data() + assert predicted_data.columns == ['name', 'name_right', 'name_vs_name_right_levenshtein'] + input_data = [{'name': 'eduward', 'other_field': 'test'}, + {'name': 'edward'}, + {'name': 'courtney'}] + add_manual_input(graph, data=input_data) + sleep(0.1) + predicted_data = node.get_predicted_resulting_data() # Gives none because the schema predict is programmed to run only once. + flow_logger.info("This is the test") + flow_logger.info(str(len(predicted_data.columns))) + flow_logger.warning(str(predicted_data.collect())) + assert len(predicted_data.columns) == 5 + node._function = org_func # Restore the original function + result = node.get_resulting_data() + assert result.columns == predicted_data.columns diff --git a/flowfile_frame/flowfile_frame/__init__.py b/flowfile_frame/flowfile_frame/__init__.py index 9b8ba70b..6b7639db 100644 --- a/flowfile_frame/flowfile_frame/__init__.py +++ b/flowfile_frame/flowfile_frame/__init__.py @@ -1,9 +1,13 @@ # flowframe/__init__.py """A Polars-like API for building ETL graphs.""" +from flowfile_core.configs.settings import OFFLOAD_TO_WORKER +OFFLOAD_TO_WORKER.value = False + # Core classes from flowfile_frame.flow_frame import FlowFrame # noqa: F401 from pl_fuzzy_frame_match.models import FuzzyMapping # noqa: F401 +from pl_fuzzy_frame_match.models import FuzzyMapping # noqa: F401 from flowfile_frame.utils import create_flow_graph # noqa: F401 diff --git a/pyproject.toml b/pyproject.toml index ff3c02fc..6ebe9eac 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -57,10 +57,10 @@ cryptography = "^45.0.5" httpx = "^0.28.1" tqdm = "^4.67.1" s3fs = "^2025.7.0" +pl-fuzzy-frame-match = ">=0.4.0" google-cloud-storage azure-storage-blob - [tool.poetry.scripts] flowfile_worker = "flowfile_worker.main:run" flowfile_core = "flowfile_core.main:run" From dc0e50bce1fbf77161efba78c22d06e034d2d15d Mon Sep 17 00:00:00 2001 From: Edward van Eechoud <41021650+Edwardvaneechoud@users.noreply.github.com> Date: Sat, 23 Aug 2025 11:28:08 +0200 Subject: [PATCH 10/31] Feature/small refactor (#109) * Adding test file for print_tree * Small refactor that adds types to functions --- .../flowfile_core/flowfile/flow_graph.py | 43 ++-- .../flowfile_core/flowfile/util/graph_tree.py | 233 ------------------ .../tests/flowfile/test_code_generator.py | 99 -------- 3 files changed, 21 insertions(+), 354 deletions(-) delete mode 100644 flowfile_core/flowfile_core/flowfile/util/graph_tree.py diff --git a/flowfile_core/flowfile_core/flowfile/flow_graph.py b/flowfile_core/flowfile_core/flowfile/flow_graph.py index cadd8702..39b2e75d 100644 --- a/flowfile_core/flowfile_core/flowfile/flow_graph.py +++ b/flowfile_core/flowfile_core/flowfile/flow_graph.py @@ -32,7 +32,10 @@ from flowfile_core.flowfile.analytics.utils import create_graphic_walker_node_from_node_promise from flowfile_core.flowfile.flow_node.flow_node import FlowNode from flowfile_core.flowfile.util.execution_orderer import compute_execution_plan -from flowfile_core.flowfile.util.graph_tree import add_undrawn_nodes, build_flow_paths, build_node_info, calculate_depth, define_node_connections, draw_merged_paths, draw_standalone_paths, group_nodes_by_depth, trace_path +from flowfile_core.flowfile.graph_tree.graph_tree import (add_un_drawn_nodes, build_flow_paths, + build_node_info, calculate_depth, + define_node_connections, draw_merged_paths, + draw_standalone_paths, group_nodes_by_depth) from flowfile_core.flowfile.flow_data_engine.polars_code_parser import polars_code_parser from flowfile_core.flowfile.flow_data_engine.subprocess_operations.subprocess_operations import (ExternalDatabaseFetcher, ExternalDatabaseWriter, @@ -315,43 +318,37 @@ def __repr__(self): def print_tree(self): """Print flow_graph as a visual tree structure, showing the DAG relationships with ASCII art.""" if not self._node_db: - print("Empty flow graph") + self.flow_logger.info("Empty flow graph") return - # Build node information node_info = build_node_info(self.nodes) # Calculate depths for all nodes for node_id in node_info: calculate_depth(node_id, node_info) - + # Group nodes by depth depth_groups, max_depth = group_nodes_by_depth(node_info) # Sort nodes within each depth group for depth in depth_groups: depth_groups[depth].sort() - + # Create the main flow visualization - lines = [] - lines.append("=" * 80) - lines.append("Flow Graph Visualization") - lines.append("=" * 80) - lines.append("") - + lines = ["=" * 80, "Flow Graph Visualization", "=" * 80, ""] + # Track which nodes connect to what merge_points = define_node_connections(node_info) - + # Build the flow paths - paths = build_flow_paths(node_info,self._flow_starts, merge_points) - + # Find the maximum label length for each depth level max_label_length = {} for depth in range(max_depth + 1): if depth in depth_groups: - max_len = max(len(node_info[nid]['label']) for nid in depth_groups[depth]) + max_len = max(len(node_info[nid].label) for nid in depth_groups[depth]) max_label_length[depth] = max_len - + # Draw the paths drawn_nodes = set() merge_drawn = set() @@ -360,9 +357,9 @@ def print_tree(self): paths_by_merge = {} standalone_paths = [] - #Build flow paths + # Build flow paths paths = build_flow_paths(node_info, self._flow_starts, merge_points) - + # Define paths to merge and standalone paths for path in paths: if len(path) > 1 and path[-1] in merge_points and len(merge_points[path[-1]]) > 1: @@ -374,19 +371,21 @@ def print_tree(self): standalone_paths.append(path) # Draw merged paths - draw_merged_paths(node_info, merge_points, paths_by_merge,merge_drawn, drawn_nodes, lines) + draw_merged_paths(node_info, merge_points, paths_by_merge, merge_drawn, drawn_nodes, lines) # Draw standlone paths draw_standalone_paths(drawn_nodes, standalone_paths, lines, node_info) # Add undrawn nodes - add_undrawn_nodes(drawn_nodes, node_info, lines) + add_un_drawn_nodes(drawn_nodes, node_info, lines) try: - skip_nodes, ordered_nodes = compute_execution_plan(nodes=self.nodes,flow_starts=self._flow_starts+self.get_implicit_starter_nodes()) + skip_nodes, ordered_nodes = compute_execution_plan( + nodes=self.nodes, + flow_starts=self._flow_starts+self.get_implicit_starter_nodes()) if ordered_nodes: for i, node in enumerate(ordered_nodes, 1): - lines.append(f" {i:3d}. {node_info[node.node_id]['label']}") + lines.append(f" {i:3d}. {node_info[node.node_id].label}") except Exception as e: lines.append(f" Could not determine execution order: {e}") diff --git a/flowfile_core/flowfile_core/flowfile/util/graph_tree.py b/flowfile_core/flowfile_core/flowfile/util/graph_tree.py deleted file mode 100644 index 9231ff0c..00000000 --- a/flowfile_core/flowfile_core/flowfile/util/graph_tree.py +++ /dev/null @@ -1,233 +0,0 @@ - -# Calculate depth for each node -def calculate_depth(node_id, node_info, visited=None): - """Calculates the depth of each node.""" - - if visited is None: - visited = set() - if node_id in visited: - return node_info[node_id]['depth'] - visited.add(node_id) - - max_input_depth = -1 - inputs = node_info[node_id]['inputs'] - - for main_id in inputs['main']: - max_input_depth = max(max_input_depth, calculate_depth(main_id, node_info, visited)) - if inputs['left']: - max_input_depth = max(max_input_depth, calculate_depth(inputs['left'], node_info, visited)) - if inputs['right']: - max_input_depth = max(max_input_depth, calculate_depth(inputs['right'], node_info, visited)) - - node_info[node_id]['depth'] = max_input_depth + 1 - return node_info[node_id]['depth'] - - -# Trace paths from each root -def trace_path(node_id, node_info, merge_points, current_path=None): - """Define the trace of each node path""" - if current_path is None: - current_path = [] - - current_path = current_path + [node_id] - outputs = node_info[node_id]['outputs'] - - if not outputs: - # End of path - return [current_path] - - # If this node has multiple outputs or connects to a merge point, branch - all_paths = [] - for output_id in outputs: - if output_id in merge_points and len(merge_points[output_id]) > 1: - # This is a merge point, end this path here - all_paths.append(current_path + [output_id]) - else: - # Continue the path - all_paths.extend(trace_path(output_id, node_info, merge_points, current_path)) - - return all_paths - -def build_node_info(nodes): - """Builds node information used to construct the graph tree.""" - - node_info = {} - - for node in nodes: - node_id = node.node_id - - # Get node label - operation = node.node_type.replace("_", " ").title() if node.node_type else "Unknown" - label = f"{operation} (id={node_id})" - if hasattr(node, 'setting_input') and hasattr(node.setting_input, 'description'): - if node.setting_input.description: - desc = node.setting_input.description - if len(desc) > 20: # Truncate long descriptions - desc = desc[:17] + "..." - label = f"{operation} ({node_id}): {desc}" - - # Get inputs and outputs - inputs = { - 'main': [n.node_id for n in (node.node_inputs.main_inputs or [])], - 'left': node.node_inputs.left_input.node_id if node.node_inputs.left_input else None, - 'right': node.node_inputs.right_input.node_id if node.node_inputs.right_input else None - } - outputs = [n.node_id for n in node.leads_to_nodes] - - node_info[node_id] = { - 'label': label, - 'short_label': f"{operation} ({node_id})", - 'inputs': inputs, - 'outputs': outputs, - 'depth': 0 - } - - return node_info - -def group_nodes_by_depth(node_info:dict): - """Groups each node by depth""" - - depth_groups = {} - max_depth = 0 - for node_id, info in node_info.items(): - depth = info['depth'] - max_depth = max(max_depth, depth) - if depth not in depth_groups: - depth_groups[depth] = [] - depth_groups[depth].append(node_id) - - return depth_groups, max_depth - -def define_node_connections(node_info:dict): - """Defines node connections to merge""" - - merge_points = {} # target_id -> list of source_ids - for node_id, info in node_info.items(): - for output_id in info['outputs']: - if output_id not in merge_points: - merge_points[output_id] = [] - merge_points[output_id].append(node_id) - - return merge_points - -def build_flow_paths(node_info:dict, flow_starts, merge_points:dict): - """Build the flow paths to be drawn""" - paths = [] # List of paths through the graph - visited_in_paths = set() - - # Find all root nodes (no inputs) - root_nodes = [nid for nid, info in node_info.items() - if not info['inputs']['main'] and not info['inputs']['left'] and not info['inputs']['right']] - - if not root_nodes and flow_starts: - root_nodes = [n.node_id for n in flow_starts] - - # Get all paths - for root_id in root_nodes: - paths.extend(trace_path(root_id, node_info, merge_points)) - - return paths - -def group_paths(paths:list, merge_points:dict): - """Groups each node path.""" - paths_by_merge = {} - standalone_paths = [] - - for path in paths: - if len(path) > 1 and path[-1] in merge_points and len(merge_points[path[-1]]) > 1: - merge_id = path[-1] - if merge_id not in paths_by_merge: - paths_by_merge[merge_id] = [] - paths_by_merge[merge_id].append(path) - else: - standalone_paths.append(path) - return paths_by_merge, standalone_paths - -def draw_merged_paths(node_info:dict, merge_points:dict, paths_by_merge:dict, merge_drawn:set, drawn_nodes:set, lines:str): - """Draws paths for each node that merges.""" - for merge_id, merge_paths in paths_by_merge.items(): - if merge_id in merge_drawn: - continue - - merge_info = node_info[merge_id] - sources = merge_points[merge_id] - - # Draw each source path leading to the merge - for i, source_id in enumerate(sources): - # Find the path containing this source - source_path = None - for path in merge_paths: - if source_id in path: - source_path = path[:path.index(source_id) + 1] - break - - if source_path: - # Build the line for this path - line_parts = [] - for j, nid in enumerate(source_path): - if j == 0: - line_parts.append(node_info[nid]['label']) - else: - line_parts.append(f" ──> {node_info[nid]['short_label']}") - - # Add the merge arrow - if i == 0: - # First source - line = "".join(line_parts) + " ─────┐" - lines.append(line) - elif i == len(sources) - 1: - # Last source - line = "".join(line_parts) + " ─────┴──> " + merge_info['label'] - lines.append(line) - - # Continue with the rest of the path after merge - remaining = node_info[merge_id]['outputs'] - while remaining: - next_id = remaining[0] - lines[-1] += f" ──> {node_info[next_id]['label']}" - remaining = node_info[next_id]['outputs'] - drawn_nodes.add(next_id) - else: - # Middle sources - line = "".join(line_parts) + " ─────┤" - lines.append(line) - - for nid in source_path: - drawn_nodes.add(nid) - - drawn_nodes.add(merge_id) - merge_drawn.add(merge_id) - lines.append("") # Add spacing between merge groups - return paths_by_merge - -def draw_standalone_paths(drawn_nodes:set, standalone_paths:list, lines:str, node_info:dict): - """ Draws paths that do not merge.""" - # Draw standalone paths - for path in standalone_paths: - if all(nid in drawn_nodes for nid in path): - continue - - line_parts = [] - for i, node_id in enumerate(path): - if node_id not in drawn_nodes: - if i == 0: - line_parts.append(node_info[node_id]['label']) - else: - line_parts.append(f" ──> {node_info[node_id]['short_label']}") - drawn_nodes.add(node_id) - - if line_parts: - lines.append("".join(line_parts)) - -def add_undrawn_nodes(drawn_nodes:set, node_info:dict, lines:str): - """Adds isolated nodes if exists.""" - # Add any remaining undrawn nodes - for node_id in node_info: - if node_id not in drawn_nodes: - lines.append(node_info[node_id]['label'] + " (isolated)") - - lines.append("") - lines.append("=" * 80) - lines.append("Execution Order") - lines.append("=" * 80) - diff --git a/flowfile_core/tests/flowfile/test_code_generator.py b/flowfile_core/tests/flowfile/test_code_generator.py index 4c3191b9..730d264f 100644 --- a/flowfile_core/tests/flowfile/test_code_generator.py +++ b/flowfile_core/tests/flowfile/test_code_generator.py @@ -2415,105 +2415,6 @@ def test_aggregation_functions(): expected_df = flow.get_node(2).get_resulting_data().data_frame assert_frame_equal(result_df, expected_df, check_row_order=False) -def test_graph_tree(capsys): - """ Test made to the FlowGraph's print_tree method""" - - flow = create_basic_flow() - - manual_input_data_1 = [ - [1, 2, 3], - ["North", "South", "East"], - [10, 5, 8], - [150, 300, 200] - ] - - manual_input_data_2 = [ - [4, 5, 6], - ["West", "North", "South"], - [15, 12, 7], - [100, 200, 250] - ] - - manual_input_data_3 = [ - [7, 8, 9], - ["East", "West", "North"], - [10, 6, 3], - [180, 220, 350] - ] - - manual_input_data_4 = [ - [10, 11, 12], - ["South", "East", "West"], - [9, 4, 7], - [280, 260, 230] - ] - - for i,j in zip([manual_input_data_1,manual_input_data_2,manual_input_data_3,manual_input_data_4], range(1,5)): - data = input_schema.NodeManualInput( - flow_id=1, - node_id=j, - raw_data_format=input_schema.RawData( - columns=[ - input_schema.MinimalFieldInfo(name="id", data_type="Integer"), - input_schema.MinimalFieldInfo(name="region", data_type="String"), - input_schema.MinimalFieldInfo(name="quantity", data_type="Integer"), - input_schema.MinimalFieldInfo(name="price", data_type="Integer") - ], - data=i - ) - ) - flow.add_manual_input(data) - - # Add union node - union_node = input_schema.NodeUnion( - flow_id=1, - node_id=5, - depending_on_ids=[1, 2, 3, 4], - union_input=transform_schema.UnionInput(mode="relaxed") - ) - flow.add_union(union_node) - for i in range(1, 5): - connection = input_schema.NodeConnection.create_from_simple_input(i, 5, 'main') - add_connection(flow, connection) - - # Add group by node - groupby_node = input_schema.NodeGroupBy( - flow_id=1, - node_id=6, - depending_on_id=1, - groupby_input=transform_schema.GroupByInput( - agg_cols=[ - transform_schema.AggColl("region", "groupby"), - transform_schema.AggColl("quantity", "sum", "total_quantity"), - transform_schema.AggColl("price", "mean", "avg_price"), - transform_schema.AggColl("quantity", "count", "num_transactions") - ] - ) - ) - flow.add_group_by(groupby_node) - add_connection(flow, node_connection=input_schema.NodeConnection.create_from_simple_input(5, 6, 'main')) - - code = export_flow_to_polars(flow) - - verify_code_contains(code, - "df_1 = pl.LazyFrame(", - "df_2 = pl.LazyFrame(", - "df_3 = pl.LazyFrame(", - "df_4 = pl.LazyFrame(", - "df_5 = pl.concat(", - "df_6 = df_5.group_by(", - ) - verify_if_execute(code) - result_df = get_result_from_generated_code(code) - expected_df = flow.get_node(6).get_resulting_data().data_frame - assert_frame_equal(result_df, expected_df, check_row_order=False) - - flow.print_tree() - stdout = capsys.readouterr().out - - tree_elements = ["(id=", ">", "1.", "Execution Order", "Flow Graph Visualization", "="] - for element in tree_elements: - assert element in stdout def test_flow_with_disconnected_nodes(): """Test a flow where some nodes might not be connected properly""" From c74d9da2cdd566c670c9f2341891093cda10855d Mon Sep 17 00:00:00 2001 From: Edward van Eechoud <41021650+Edwardvaneechoud@users.noreply.github.com> Date: Sat, 23 Aug 2025 13:55:36 +0200 Subject: [PATCH 11/31] Feature/unify execution methods (#110) * removing auto to improve maintainability * Ensure the offload per worker is determined per graph and there is no dependency on a global variable. * Small improvement in logging * Removing global change in tests * skipping test in docker --- .../flow_data_engine/flow_data_engine.py | 1 - .../flowfile_core/flowfile/flow_graph.py | 18 +++- .../flowfile/flow_node/flow_node.py | 11 ++- .../analytics/test_analytics_processor.py | 4 - flowfile_core/tests/flowfile/test_flowfile.py | 89 ++++++++++++------- flowfile_frame/flowfile_frame/__init__.py | 3 - 6 files changed, 82 insertions(+), 44 deletions(-) diff --git a/flowfile_core/flowfile_core/flowfile/flow_data_engine/flow_data_engine.py b/flowfile_core/flowfile_core/flowfile/flow_data_engine/flow_data_engine.py index f4426541..c10c3e78 100644 --- a/flowfile_core/flowfile_core/flowfile/flow_data_engine/flow_data_engine.py +++ b/flowfile_core/flowfile_core/flowfile/flow_data_engine/flow_data_engine.py @@ -1937,7 +1937,6 @@ def get_number_of_records(self, warn: bool = False, force_calculate: bool = Fals """ if self.is_future and not self.is_collected: return -1 - calculate_in_worker_process = False if not OFFLOAD_TO_WORKER else calculate_in_worker_process if self.number_of_records is None or self.number_of_records < 0 or force_calculate: if self._number_of_records_callback is not None: self._number_of_records_callback(self) diff --git a/flowfile_core/flowfile_core/flowfile/flow_graph.py b/flowfile_core/flowfile_core/flowfile/flow_graph.py index 39b2e75d..3e6836b8 100644 --- a/flowfile_core/flowfile_core/flowfile/flow_graph.py +++ b/flowfile_core/flowfile_core/flowfile/flow_graph.py @@ -229,7 +229,18 @@ def __init__(self, elif input_flow is not None: self.add_datasource(input_file=input_flow) - skip_nodes, execution_order = compute_execution_plan(nodes=self.nodes,flow_starts=self._flow_starts+self.get_implicit_starter_nodes()) + @property + def flow_settings(self) -> schemas.FlowSettings: + return self._flow_settings + + @flow_settings.setter + def flow_settings(self, flow_settings: schemas.FlowSettings): + if ( + (self._flow_settings.execution_location != flow_settings.execution_location) or + (self._flow_settings.execution_mode != flow_settings.execution_mode) + ): + self.reset() + self._flow_settings = flow_settings def add_node_promise(self, node_promise: input_schema.NodePromise): """Adds a placeholder node to the graph that is not yet fully configured. @@ -320,6 +331,7 @@ def print_tree(self): if not self._node_db: self.flow_logger.info("Empty flow graph") return + # Build node information node_info = build_node_info(self.nodes) @@ -339,7 +351,7 @@ def print_tree(self): # Track which nodes connect to what merge_points = define_node_connections(node_info) - + # Build the flow paths # Find the maximum label length for each depth level @@ -348,7 +360,7 @@ def print_tree(self): if depth in depth_groups: max_len = max(len(node_info[nid].label) for nid in depth_groups[depth]) max_label_length[depth] = max_len - + # Draw the paths drawn_nodes = set() merge_drawn = set() diff --git a/flowfile_core/flowfile_core/flowfile/flow_node/flow_node.py b/flowfile_core/flowfile_core/flowfile/flow_node/flow_node.py index 5a34b4e4..6cd7339c 100644 --- a/flowfile_core/flowfile_core/flowfile/flow_node/flow_node.py +++ b/flowfile_core/flowfile_core/flowfile/flow_node/flow_node.py @@ -5,7 +5,6 @@ from flowfile_core.utils.arrow_reader import get_read_top_n from flowfile_core.schemas import input_schema, schemas from flowfile_core.configs.flow_logger import NodeLogger -from flowfile_core.configs.settings import SINGLE_FILE_MODE, OFFLOAD_TO_WORKER from flowfile_core.schemas.output_model import TableExample, FileColumn, NodeData from flowfile_core.flowfile.utils import get_hash @@ -921,8 +920,14 @@ def execute_node(self, run_location: schemas.ExecutionLocationsLiteral, reset_ca node_logger=node_logger) else: self.results.errors = str(e) - node_logger.error(f'Error with running the node: {e}') - elif ((run_location == 'local' or SINGLE_FILE_MODE) and + if "Connection refused" in str(e) and "/submit_query/" in str(e): + node_logger.warning("There was an issue connecting to the remote worker, " + "ensure the worker process is running, " + "or change the settings to, so it executes locally") + node_logger.error("Could not execute in the remote worker. (Re)start the worker service, or change settings to local settings.") + else: + node_logger.error(f'Error with running the node: {e}') + elif ((run_location == 'local') and (not self.node_stats.has_run_with_current_setup or self.node_template.node_group == "output")): try: node_logger.info('Executing fully locally') diff --git a/flowfile_core/tests/flowfile/analytics/test_analytics_processor.py b/flowfile_core/tests/flowfile/analytics/test_analytics_processor.py index 8e4186a2..6e0edb6b 100644 --- a/flowfile_core/tests/flowfile/analytics/test_analytics_processor.py +++ b/flowfile_core/tests/flowfile/analytics/test_analytics_processor.py @@ -545,9 +545,6 @@ def test_analytics_processor_from_parquet_file_run_performance(): def test_analytics_processor_from_parquet_file_run_in_one_local_process(): - from flowfile_core.configs.settings import OFFLOAD_TO_WORKER - OFFLOAD_TO_WORKER.value = False - graph = create_graph() graph.flow_settings.execution_location = "local" @@ -564,4 +561,3 @@ def test_analytics_processor_from_parquet_file_run_in_one_local_process(): graph.run_graph() assert node_step.results.analysis_data_generator, 'The node should have to run' assert node_step.results.analysis_data_generator().__len__() == 10_000, 'There should be 1000 rows in the data' - OFFLOAD_TO_WORKER.value = True diff --git a/flowfile_core/tests/flowfile/test_flowfile.py b/flowfile_core/tests/flowfile/test_flowfile.py index dc6e3951..8a31915a 100644 --- a/flowfile_core/tests/flowfile/test_flowfile.py +++ b/flowfile_core/tests/flowfile/test_flowfile.py @@ -14,13 +14,25 @@ from flowfile_core.flowfile.flow_data_engine.flow_file_column.main import FlowfileColumn from flowfile_core.flowfile.schema_callbacks import pre_calculate_pivot_schema - import pytest from pathlib import Path from typing import List, Dict, Literal from copy import deepcopy from time import sleep +def find_parent_directory(target_dir_name,): + """Navigate up directories until finding the target directory""" + current_path = Path(__file__) + + while current_path != current_path.parent: + if current_path.name == target_dir_name: + return current_path + if current_path.name == target_dir_name: + return current_path + current_path = current_path.parent + + raise FileNotFoundError(f"Directory '{target_dir_name}' not found") + try: from tests.flowfile_core_test_utils import (is_docker_available, ensure_password_is_available) from tests.utils import ensure_cloud_storage_connection_is_available_and_get_connection @@ -254,8 +266,13 @@ def test_opening_parquet_file(flow_logger: FlowLogger): def test_running_performance_mode(): graph = create_graph() from flowfile_core.configs.settings import OFFLOAD_TO_WORKER + from flowfile_core.configs.settings import OFFLOAD_TO_WORKER add_node_promise_on_type(graph, 'read', 1, 1) from flowfile_core.configs.flow_logger import main_logger + received_table = input_schema.ReceivedTable( + file_type='parquet', name='table.parquet', + path=str(find_parent_directory("Flowfile")/'flowfile_core/tests/support_files/data/table.parquet')) + from flowfile_core.configs.flow_logger import main_logger received_table = input_schema.ReceivedTable( file_type='parquet', name='table.parquet', path=str(find_parent_directory("Flowfile")/'flowfile_core/tests/support_files/data/table.parquet')) @@ -263,6 +280,8 @@ def test_running_performance_mode(): graph.add_read(node_read) main_logger.warning(str(graph)) main_logger.warning(OFFLOAD_TO_WORKER) + main_logger.warning(str(graph)) + main_logger.warning(OFFLOAD_TO_WORKER) add_node_promise_on_type(graph, 'record_count', 2) connection = input_schema.NodeConnection.create_from_simple_input(1, 2) add_connection(graph, connection) @@ -274,6 +293,7 @@ def test_running_performance_mode(): graph.flow_settings.execution_mode = 'Development' slow = graph.run_graph() + assert slow.node_step_result[1].run_time > fast.node_step_result[1].run_time, 'Performance mode should be faster' @@ -325,11 +345,8 @@ def test_add_fuzzy_match(): def test_add_fuzzy_match_lcoal(): - from flowfile_core.configs.settings import OFFLOAD_TO_WORKER - graph = create_graph() graph.flow_settings.execution_location = "local" - OFFLOAD_TO_WORKER.value = False input_data = [{'name': 'eduward'}, {'name': 'edward'}, {'name': 'courtney'}] @@ -356,7 +373,6 @@ def test_add_fuzzy_match_lcoal(): 'name_vs_name_right_levenshtein': [1.0, 0.8571428571428572, 1.0, 0.8571428571428572, 1.0]} ) output_data.assert_equal(expected_data) - OFFLOAD_TO_WORKER.value = True def test_add_record_count(): @@ -1164,12 +1180,16 @@ def tracking_method(*args, **kwargs): handle_run_info(result) +@pytest.mark.skipif(not is_docker_available(), reason="Docker is not available or not running so database reader cannot be tested") @pytest.mark.skipif(not is_docker_available(), reason="Docker is not available or not running so database reader cannot be tested") def test_complex_cloud_write_scenario(): + ensure_cloud_storage_connection_is_available_and_get_connection() handler = FlowfileHandler() + flow_id = handler.import_flow(find_parent_directory("Flowfile") / "flowfile_core/tests/support_files/flows/test_cloud_local.flowfile") + flow_id = handler.import_flow(find_parent_directory("Flowfile") / "flowfile_core/tests/support_files/flows/test_cloud_local.flowfile") graph = handler.get_flow(flow_id) node= graph.get_node(3) @@ -1194,26 +1214,6 @@ def test_no_re_calculate_example_data_after_change_no_run(): add_connection(graph, input_schema.NodeConnection.create_from_simple_input(from_id=1, to_id=3)) graph.run_graph() - -def test_no_re_calculate_example_data_after_change_no_run(): - from flowfile_core.configs.settings import OFFLOAD_TO_WORKER - - OFFLOAD_TO_WORKER.value = False - - graph = get_dependency_example() - graph.flow_settings.execution_location = "local" - graph.run_graph() - graph.add_formula( - input_schema.NodeFormula( - flow_id=1, - node_id=3, - function=transform_schema.FunctionInput(transform_schema.FieldInput(name="titleCity"), - function="titlecase([city])"), - ) - ) - add_connection(graph, input_schema.NodeConnection.create_from_simple_input(from_id=1, to_id=3)) - graph.run_graph() - first_data = [row["titleCity"] for row in graph.get_node_data(3, True).main_output.data] assert len(first_data) > 0, 'Data should be present' graph.add_formula( @@ -1235,12 +1235,8 @@ def test_no_re_calculate_example_data_after_change_no_run(): assert after_change_data_after_run != first_data, 'Data should be different after run' - OFFLOAD_TO_WORKER.value = True - def test_add_fuzzy_match_only_local(): - from flowfile_core.configs.settings import OFFLOAD_TO_WORKER - OFFLOAD_TO_WORKER.value = False graph = create_graph() graph.flow_settings.execution_location = "local" input_data = [{'name': 'eduward'}, @@ -1269,7 +1265,40 @@ def test_add_fuzzy_match_only_local(): 'name_vs_name_right_levenshtein': [1.0, 0.8571428571428572, 1.0, 1.0, 0.8571428571428572]} ) output_data.assert_equal(expected_data) - OFFLOAD_TO_WORKER.value = True + + +def test_changes_execution_mode(flow_logger): + settings = {'flow_id': 1, 'node_id': 1, 'pos_x': 304.8727272727273, + 'pos_y': 549.5272727272727, 'is_setup': True, 'description': 'Test csv', + 'received_file': {'id': None, 'name': 'fake_data.csv', + 'path': str(find_parent_directory("Flowfile")/'flowfile_core/tests/support_files/data/fake_data.csv'), + 'directory': None, 'analysis_file_available': False, 'status': None, + 'file_type': 'csv', 'fields': [], 'reference': '', 'starting_from_line': 0, + 'delimiter': ',', 'has_headers': True, 'encoding': 'utf-8', 'parquet_ref': None, + 'row_delimiter': '', 'quote_char': '', 'infer_schema_length': 20000, + 'truncate_ragged_lines': False, 'ignore_errors': False, 'sheet_name': None, + 'start_row': 0, 'start_column': 0, 'end_row': 0, 'end_column': 0, + 'type_inference': False}} + graph = create_graph() + flow_logger.warning(str(graph)) + add_node_promise_on_type(graph, 'read', 1) + input_file = input_schema.NodeRead(**settings) + graph.add_read(input_file) + run_info = graph.run_graph() + handle_run_info(run_info) + graph.add_select(select_settings=input_schema.NodeSelect(flow_id=1, node_id=2, + select_input=[transform_schema.SelectInput("City")], + keep_missing=True)) + add_connection(graph, input_schema.NodeConnection.create_from_simple_input(1, 2)) + explain_node_2 = graph.get_node(2).get_resulting_data().data_frame.explain() + assert "flowfile_core/tests/support_files/data/fake_data.csv" not in explain_node_2 + graph.execution_location = "local" + + explain_node_2 = graph.get_node(2).get_resulting_data().data_frame.explain() + # now it should read from the actual source, since we do not cache the data with the external worker + + assert "flowfile_core/tests/support_files/data/fake_data.csv" in explain_node_2 + def test_fuzzy_match_schema_predict(flow_logger): diff --git a/flowfile_frame/flowfile_frame/__init__.py b/flowfile_frame/flowfile_frame/__init__.py index 6b7639db..12d68829 100644 --- a/flowfile_frame/flowfile_frame/__init__.py +++ b/flowfile_frame/flowfile_frame/__init__.py @@ -1,9 +1,6 @@ # flowframe/__init__.py """A Polars-like API for building ETL graphs.""" -from flowfile_core.configs.settings import OFFLOAD_TO_WORKER -OFFLOAD_TO_WORKER.value = False - # Core classes from flowfile_frame.flow_frame import FlowFrame # noqa: F401 from pl_fuzzy_frame_match.models import FuzzyMapping # noqa: F401 From 982563faadeb923368f36c9b2815eef7a558974b Mon Sep 17 00:00:00 2001 From: Edward Date: Sun, 24 Aug 2025 15:21:03 +0200 Subject: [PATCH 12/31] Bumping version --- flowfile/flowfile/__init__.py | 2 +- flowfile_frontend/package.json | 2 +- pyproject.toml | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/flowfile/flowfile/__init__.py b/flowfile/flowfile/__init__.py index 595f43bd..a4f667d5 100644 --- a/flowfile/flowfile/__init__.py +++ b/flowfile/flowfile/__init__.py @@ -7,7 +7,7 @@ - flowfile_worker: Computation engine """ -__version__ = "0.3.8" +__version__ = "0.3.9" import os import logging diff --git a/flowfile_frontend/package.json b/flowfile_frontend/package.json index e07e6ebc..8f9b8f61 100644 --- a/flowfile_frontend/package.json +++ b/flowfile_frontend/package.json @@ -1,6 +1,6 @@ { "name": "Flowfile", - "version": "0.3.8", + "version": "0.3.9", "description": "A tool for designing and executing data flows", "main": "main/main.js", "scripts": { diff --git a/pyproject.toml b/pyproject.toml index 6ebe9eac..d9523bb1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "Flowfile" -version = "0.3.8" +version = "0.3.9" description = "Project combining flowfile core (backend) and flowfile_worker (compute offloader) and flowfile_frame (api)" readme = "readme-pypi.md" authors = ["Edward van Eechoud "] From fdc60156d3074bca87bec66888edec57aa1e943b Mon Sep 17 00:00:00 2001 From: Bernardo Fernandes Date: Tue, 26 Aug 2025 10:10:59 +0100 Subject: [PATCH 13/31] Adding test_utils for GCS --- flowfile_core/tests/utils.py | 2 +- pyproject.toml | 2 + test_utils/gcs/__init__.py | 0 test_utils/gcs/commands.py | 0 test_utils/gcs/data_generator.py | 267 +++++++++++++++++++++++++++++++ test_utils/gcs/fixtures.py | 0 6 files changed, 270 insertions(+), 1 deletion(-) create mode 100644 test_utils/gcs/__init__.py create mode 100644 test_utils/gcs/commands.py create mode 100644 test_utils/gcs/data_generator.py create mode 100644 test_utils/gcs/fixtures.py diff --git a/flowfile_core/tests/utils.py b/flowfile_core/tests/utils.py index 207fc635..081c2749 100644 --- a/flowfile_core/tests/utils.py +++ b/flowfile_core/tests/utils.py @@ -10,7 +10,7 @@ from flowfile_core.schemas.cloud_storage_schemas import FullCloudStorageConnection -def get_cloud_connection(): +def get_aws_cloud_connection(): """Reusable AWS CLI connection configuration.""" minio_connection = FullCloudStorageConnection( connection_name="minio-test", diff --git a/pyproject.toml b/pyproject.toml index afa93ebd..0f849ce6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -70,6 +70,8 @@ stop_postgres = "test_utils.postgres.commands:stop_postgres" flowfile = "flowfile.__main__:main" start_minio = "test_utils.s3.commands:start_minio" stop_minio = "test_utils.s3.commands:stop_minio" +start_gcs_server = "test_utils.gcs.commands:start_fake_gcs_server" +stop_gcs_server = "test_utils.gcs.commands:stop_fake_gcs_server" [tool.poetry.group.dev.dependencies] diff --git a/test_utils/gcs/__init__.py b/test_utils/gcs/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/test_utils/gcs/commands.py b/test_utils/gcs/commands.py new file mode 100644 index 00000000..e69de29b diff --git a/test_utils/gcs/data_generator.py b/test_utils/gcs/data_generator.py new file mode 100644 index 00000000..0619bd00 --- /dev/null +++ b/test_utils/gcs/data_generator.py @@ -0,0 +1,267 @@ + +import logging +import io +import os + +# Third-party libraries +from google.cloud import storage +import polars as pl +import pyarrow as pa +from deltalake import write_deltalake +from pyiceberg.catalog import load_catalog +import mimetypes +from typing import Dict + +# Configure logging +logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') +logger = logging.getLogger(__name__) + +GCS_HOST = os.environ.get("TEST_GCS_HOST", "localhost") +GCS_PORT = int(os.environ.get("TEST_GCS_PORT", 4443)) +GCS_BUCKET_NAME = os.environ.get("TEST_GCS_CONTAINER", "test-gcs") +GCS_ENDPOINT_URL = f"https://{GCS_HOST}:{GCS_PORT}" + +def _create_single_csv_file(gcs_client, df: pl.DataFrame, bucket_name: str): + """Creates a single CSV file from a DataFrame and uploads it to GCS.""" + logger.info("Writing single-file CSV...") + csv_buffer = io.BytesIO() + df.write_csv(csv_buffer) + csv_buffer.seek(0) + bucket = gcs_client.bucket(bucket_name) + blob = bucket.blob('single-file-csv/data.csv') + blob.upload_from_file(csv_buffer, content_type='text/csv') + + +def _create_multi_file_csv(gcs_client, df: pl.DataFrame, bucket_name: str, num_files: int = 10): + """Creates multiple CSV files from a DataFrame and uploads them to S3.""" + logger.info(f"Writing {num_files} CSV files...") + data_size = len(df) + rows_per_file = data_size // num_files + bucket = gcs_client.bucket(bucket_name) + for i in range(num_files): + sub_df = df.slice(i * rows_per_file, rows_per_file) + csv_buffer = io.BytesIO() + sub_df.write_csv(csv_buffer) + csv_buffer.seek(0) + blob = bucket.blob(f'multi-file-csv/part_{i:02d}.csv') + blob.upload_from_file(csv_buffer, content_type='text/csv') + + + +def _create_single_file_json(gcs_client, df: pl.DataFrame, bucket_name: str): + """Creates a single JSON file from a DataFrame and uploads it to S3.""" + logger.info("Writing single-file JSON...") + json_buffer = io.BytesIO() + df.write_ndjson(json_buffer) + json_buffer.seek(0) + bucket = gcs_client.bucket(bucket_name) + blob = bucket.blob('single-file-json/data.json') + blob.upload_from_file(json_buffer, content_type='application/json') + + +def _create_multi_file_json(gcs_client, df: pl.DataFrame, bucket_name: str, num_files: int = 10): + """Creates multiple JSON files from a DataFrame and uploads them to S3.""" + logger.info(f"Writing {num_files} JSON files...") + data_size = len(df) + rows_per_file = data_size // num_files + bucket = gcs_client.bucket(bucket_name) + for i in range(num_files): + sub_df = df.slice(i * rows_per_file, rows_per_file) + json_buffer = io.BytesIO() + sub_df.write_ndjson(json_buffer) + json_buffer.seek(0) + blob = bucket.blob(f'multi-file-json/part_{i:02d}.json') + blob.upload_from_file(json_buffer, content_type='application/json') + + +def _create_single_parquet_file(gcs_client, df: pl.DataFrame, bucket_name: str): + """Creates a single Parquet file from a DataFrame and uploads it to S3.""" + logger.info("Writing single-file Parquet...") + parquet_buffer = io.BytesIO() + df.write_parquet(parquet_buffer) + parquet_buffer.seek(0) + bucket = gcs_client.bucket(bucket_name) + blob = bucket.blob('single-file-parquet/data.parquet') + blob.upload_from_file(parquet_buffer, content_type='application/vnd.apache.parquet') + + +def _create_multi_parquet_file(gcs_client, df: pl.DataFrame, bucket_name: str, num_files: int = 10): + """Creates multiple Parquet files from a DataFrame and uploads them to S3.""" + logger.info(f"Writing {num_files} Parquet files...") + data_size = len(df) + rows_per_file = data_size // num_files + bucket = gcs_client.bucket(bucket_name) + for i in range(num_files): + sub_df = df.slice(i * rows_per_file, rows_per_file) + parquet_buffer = io.BytesIO() + sub_df.write_parquet(parquet_buffer) + parquet_buffer.seek(0) + blob = bucket.blob(f'multi-file-parquet/part_{i:02d}.parquet') + blob.upload_from_file(parquet_buffer, content_type='application/vnd.apache.parquet') + +def guess_content_type(filename): + """ Created since mimetypes doesn't know about parquet by default.""" + if filename.endswith(".parquet"): + return "application/vnd.apache.parquet" + if filename.endswith(".avro"): + return "application/avro" + return mimetypes.guess_type(filename)[0] or "application/octet-stream" + + + +def _create_delta_lake_table(gcs_client, arrow_table: pa.Table, bucket_name: str): + """Creates a Delta Lake table from a PyArrow table in S3.""" + logger.info("Writing Delta Lake table...") + bucket = gcs_client.bucket(bucket_name) + blob = bucket.blob(f"delta-lake-table") + for root, _, files in os.walk(table_path): + for f in files: + local_path = os.path.join(root, f) + rel_path = os.path.relpath(local_path, arrow_table) + blob = bucket.blob(f"delta_table/{rel_path}") + blob.upload_from_filename(local_path, content_type=guess_content_type(local_path)) + print(f"Uploaded {rel_path} with content_type={blob.content_type}") + + + +def _create_iceberg_table(df: pl.DataFrame, bucket_name: str, endpoint_url: str, app_credentials: Dict, + gcs_client): + """Creates an Apache Iceberg table and FORCES sane metadata pointers.""" + logger.info("Writing Apache Iceberg table with SANE metadata access...") + # Configure the catalog properties for S3 access + catalog_props = { + "py-io-impl": "pyiceberg.io.pyarrow.PyArrowFileIO", + "gcs.endpoint": endpoint_url, + "gcs.app-credentials": app_credentials + } + + # Creating a bucket instance to upload files + bucket = gcs_client.bucket(bucket_name) + + # Use the SQL catalog with an in-memory SQLite database for storing metadata pointers + catalog = load_catalog( + "default", + **{ + "type": "sql", + "uri": "sqlite:///:memory:", # Use an in-memory SQL DB for the catalog + "warehouse": f"https://storage.googleapis.com/{bucket_name}/iceberg_warehouse", + **catalog_props, + } + ) + table_identifier = ("default_db", "iceberg_table") + # Create a namespace (like a schema or database) for the table + try: + catalog.drop_namespace("default_db") + except Exception: + pass # Ignore if namespace doesn't exist + catalog.create_namespace("default_db") + try: + catalog.load_table(table_identifier) + catalog.drop_table(table_identifier) + except: + pass + + # Create the table schema and object first + schema = df.to_arrow().schema + table = catalog.create_table(identifier=table_identifier, schema=schema) + + # Use the simplified write_iceberg method from Polars + df.write_iceberg(table, mode='overwrite') + + # NOW CREATE WHAT SHOULD EXIST BY DEFAULT - SANE METADATA POINTERS + # Get the current metadata location from the table + current_metadata = table.metadata_location + logger.info(f"Original metadata location: {current_metadata}") + + # Extract just the path part + if current_metadata.startswith("s3a://"): + current_metadata_key = current_metadata.replace(f"https://storage.googleapis.com/{bucket_name}/", "") + else: + current_metadata_key = current_metadata.replace(f"https://storage.googleapis.com/{bucket_name}/", "") + + # Read the current metadata + response = gcs_client.get_object(Bucket=bucket_name, Key=current_metadata_key) + metadata_content = response['Body'].read() + + # Get the metadata directory + metadata_dir = "/".join(current_metadata_key.split("/")[:-1]) + + # Write it to standardized locations + # 1. metadata.json in the metadata folder (this is what pl.scan_iceberg expects) + blob = bucket.blob(f"{metadata_dir}") + blob.upload_from_filename("metadata.json", content_type=guess_content_type(metadata_content)) + + logger.info(f"Created stable metadata.json at: https://storage.googleapis.com/{bucket_name}/{metadata_dir}/metadata.json") + + # 2. current.json as an additional pointer + blob = bucket.blob(f"{metadata_dir}") + blob.upload_from_filename("current.json", content_type=guess_content_type(metadata_content)) + + # 3. VERSION file that contains the current metadata filename + current_metadata_filename = current_metadata_key.split("/")[-1] + blob = bucket.bloc(f"{metadata_dir}/VERSION") + blob.upload_from_filename(current_metadata_filename.encode(), content_type=guess_content_type(metadata_content)) + + # 4. version-hint.text (some Iceberg readers look for this) + blob = bucket.bloc(f"{metadata_dir}/version-hint.text") + blob.upload_from_filename(current_metadata_filename.encode(), content_type=guess_content_type(metadata_content)) + + table_base = "iceberg_warehouse/default_db.db/my_iceberg_table" + logger.info(f""" +✅ Iceberg table created with SANE access patterns: + - Versioned metadata: https://storage.googleapis.com/{bucket_name}/{current_metadata_key} + - Latest metadata: https://storage.googleapis.com/{bucket_name}/{table_base}/metadata/metadata.json + - Current pointer: https://storage.googleapis.com/{bucket_name}/{table_base}/metadata/current.json + - Version hint: https://storage.googleapis.com/{bucket_name}/{table_base}/metadata/version-hint.text + + Read with: pl.scan_iceberg('s3://{bucket_name}/{table_base}/metadata/metadata.json').collect() +""") + + +def populate_test_data(endpoint_url: str, app_credentials_path: str, bucket_name: str): + """ + Populates a MinIO bucket with a variety of large-scale test data formats. + + Args: + endpoint_url (str): The S3 endpoint URL for the MinIO instance. + access_key (str): The access key for MinIO. + secret_key (str): The secret key for MinIO. + bucket_name (str): The name of the bucket to populate. + """ + logger.info("🚀 Starting data population...") + # --- S3 Client and Storage Options --- + if "localhost" in endpoint_url: + gcs_client = client_options={"api_endpoint": "{endpoint_url}"} + else: + gcs_client = storage.Client.from_service_account_json(app_credentials_path) + + # --- Data Generation --- + data_size = 100_000 + df = pl.DataFrame({ + "id": range(1, data_size + 1), + "name": [f"user_{i}" for i in range(1, data_size + 1)], + "value": [i * 10.5 for i in range(1, data_size + 1)], + "category": ["A", "B", "C", "D", "E"] * (data_size // 5) + }) + logger.info(f"Generated a Polars DataFrame with {data_size} rows.") + # + # # --- Execute Data Population Scenarios --- + _create_single_csv_file(gcs_client, df, bucket_name) + _create_multi_file_csv(gcs_client, df, bucket_name) + _create_single_file_json(gcs_client, df, bucket_name) + _create_multi_file_json(gcs_client, df, bucket_name) + _create_single_parquet_file(gcs_client, df, bucket_name) + _create_multi_parquet_file(gcs_client, df, bucket_name) + + # Convert to PyArrow table once for Delta and Iceberg + arrow_table = df.to_arrow() + + _create_delta_lake_table(arrow_table, bucket_name) + _create_iceberg_table(df, bucket_name, endpoint_url, gcs_client) + + logger.info("✅ All test data populated successfully.") + + +if __name__ == '__main__': + populate_test_data(endpoint_url=GCS_ENDPOINT_URL, + bucket_name=GCS_BUCKET_NAME) \ No newline at end of file diff --git a/test_utils/gcs/fixtures.py b/test_utils/gcs/fixtures.py new file mode 100644 index 00000000..e69de29b From 0f1f1b4c3feb38ad8a64235d3ad1c1c4f8cb0b44 Mon Sep 17 00:00:00 2001 From: Edward van Eechoud <41021650+Edwardvaneechoud@users.noreply.github.com> Date: Fri, 15 Aug 2025 10:04:18 +0200 Subject: [PATCH 14/31] Improvement/improve mobile experience docs (#107) * Fix small issues in logging and missing functions * fixing layout quickstart and index.html * Minor improvements full local and documentation * Small bug fixes * Check if reverting the settings resolves failing tests * quick fix for introduced failing tests by improvement * bumping version * ensure example data is set in single process worker * Improve test so it better represents --- flowfile/flowfile/__init__.py | 2 +- .../flow_data_engine/flow_data_engine.py | 1 + .../flowfile_core/flowfile/flow_graph.py | 77 +++++++++- .../flowfile/flow_node/flow_node.py | 24 ++-- .../analytics/test_analytics_processor.py | 19 +++ flowfile_core/tests/flowfile/test_flowfile.py | 131 +++++++----------- flowfile_frontend/package.json | 2 +- local_data/local_products.parquet | Bin 0 -> 1999 bytes pyproject.toml | 2 +- 9 files changed, 160 insertions(+), 98 deletions(-) create mode 100644 local_data/local_products.parquet diff --git a/flowfile/flowfile/__init__.py b/flowfile/flowfile/__init__.py index a4f667d5..595f43bd 100644 --- a/flowfile/flowfile/__init__.py +++ b/flowfile/flowfile/__init__.py @@ -7,7 +7,7 @@ - flowfile_worker: Computation engine """ -__version__ = "0.3.9" +__version__ = "0.3.8" import os import logging diff --git a/flowfile_core/flowfile_core/flowfile/flow_data_engine/flow_data_engine.py b/flowfile_core/flowfile_core/flowfile/flow_data_engine/flow_data_engine.py index c10c3e78..f4426541 100644 --- a/flowfile_core/flowfile_core/flowfile/flow_data_engine/flow_data_engine.py +++ b/flowfile_core/flowfile_core/flowfile/flow_data_engine/flow_data_engine.py @@ -1937,6 +1937,7 @@ def get_number_of_records(self, warn: bool = False, force_calculate: bool = Fals """ if self.is_future and not self.is_collected: return -1 + calculate_in_worker_process = False if not OFFLOAD_TO_WORKER else calculate_in_worker_process if self.number_of_records is None or self.number_of_records < 0 or force_calculate: if self._number_of_records_callback is not None: self._number_of_records_callback(self) diff --git a/flowfile_core/flowfile_core/flowfile/flow_graph.py b/flowfile_core/flowfile_core/flowfile/flow_graph.py index 985ea040..f4f7d026 100644 --- a/flowfile_core/flowfile_core/flowfile/flow_graph.py +++ b/flowfile_core/flowfile_core/flowfile/flow_graph.py @@ -258,6 +258,64 @@ def placeholder(n: FlowNode = None): self.add_node_step(node_id=node_promise.node_id, node_type=node_promise.node_type, function=placeholder, setting_input=node_promise) + def print_tree(self, show_schema=False, show_descriptions=False): + """ + Print flow_graph as a tree. + """ + max_node_id = max(self._node_db.keys()) + + tree = "" + tabs = 0 + tab_counter = 0 + for node in self.nodes: + tab_counter += 1 + node_input = node.setting_input + operation = str(self._node_db[node_input.node_id]).split("(")[1][:-1].replace("_", " ").title() + + if operation == "Formula": + operation = "With Columns" + + tree += str(operation) + " (id=" + str(node_input.node_id) + ")" + + if show_descriptions & show_schema: + raise ValueError('show_descriptions and show_schema cannot be True simultaneously') + if show_descriptions: + tree += ": " + str(node_input.description) + elif show_schema: + tree += " -> [" + if operation == "Manual Input": + schema = ", ".join([str(i.name) + ": " + str(i.data_type) for i in node_input.raw_data_format.columns]) + tree += schema + elif operation == "With Columns": + tree_with_col_schema = ", " + node_input.function.field.name + ": " + node_input.function.field.data_type + tree += schema + tree_with_col_schema + elif operation == "Filter": + index = node_input.filter_input.advanced_filter.find("]") + filtered_column = str(node_input.filter_input.advanced_filter[1:index]) + schema = re.sub('({str(filtered_column)}: [A-Za-z0-9]+\,\s)', "", schema) + tree += schema + elif operation == "Group By": + for col in node_input.groupby_input.agg_cols: + schema = re.sub(str(col.old_name) + ': [a-z0-9]+\, ', "", schema) + tree += schema + tree += "]" + else: + if operation == "Manual Input": + tree += ": " + str(node_input.raw_data_format.data) + elif operation == "With Columns": + tree += ": " + str(node_input.function) + elif operation == "Filter": + tree += ": " + str(node_input.filter_input.advanced_filter) + elif operation == "Group By": + tree += ": groupby=[" + ", ".join([col.old_name for col in node_input.groupby_input.agg_cols if col.agg == "groupby"]) + "], " + tree += "agg=[" + ", ".join([str(col.agg) + "(" + str(col.old_name) + ")" for col in node_input.groupby_input.agg_cols if col.agg != "groupby"]) + "]" + + if node_input.node_id < max_node_id: + tree += "\n" + "# " + " "*3*(tabs-1) + "|___ " + print("\n"*2) + + return print(tree) + def apply_layout(self, y_spacing: int = 150, x_spacing: int = 200, initial_y: int = 100): """Calculates and applies a layered layout to all nodes in the graph. @@ -526,6 +584,8 @@ def analysis_preparation(flowfile_table: FlowDataEngine): node_id=node.node_id, flow_id=self.flow_id, ) + node.results.analysis_data_generator = get_read_top_n(external_sampler.status.file_ref, + n=min(sample_size, number_of_records)) node.results.analysis_data_generator = get_read_top_n(external_sampler.status.file_ref, n=min(sample_size, number_of_records)) return flowfile_table @@ -1623,12 +1683,19 @@ def run_graph(self) -> RunInformation | None: self.end_datetime = None self.latest_run_info = None self.flow_logger.info('Starting to run flowfile flow...') - skip_nodes, execution_order = compute_execution_plan(nodes=self.nodes, flow_starts=self._flow_starts+self.get_implicit_starter_nodes()) - - skip_node_message(self.flow_logger, self.skip_nodes) - execution_order_message(self.flow_logger, self.execution_order) + skip_nodes = [node for node in self.nodes if not node.is_correct] + skip_nodes.extend([lead_to_node for node in skip_nodes for lead_to_node in node.leads_to_nodes]) + execution_order = determine_execution_order(all_nodes=[node for node in self.nodes if + node not in skip_nodes], + flow_starts=self._flow_starts+self.get_implicit_starter_nodes()) + skip_node_message(self.flow_logger, skip_nodes) + execution_order_message(self.flow_logger, execution_order) performance_mode = self.flow_settings.execution_mode == 'Performance' - for node in self.execution_order: + if self.flow_settings.execution_location == 'local': + OFFLOAD_TO_WORKER.value = False + elif self.flow_settings.execution_location == 'remote': + OFFLOAD_TO_WORKER.value = True + for node in execution_order: node_logger = self.flow_logger.get_node_logger(node.node_id) if self.flow_settings.is_canceled: self.flow_logger.info('Flow canceled') diff --git a/flowfile_core/flowfile_core/flowfile/flow_node/flow_node.py b/flowfile_core/flowfile_core/flowfile/flow_node/flow_node.py index 3a8f1a18..5a34b4e4 100644 --- a/flowfile_core/flowfile_core/flowfile/flow_node/flow_node.py +++ b/flowfile_core/flowfile_core/flowfile/flow_node/flow_node.py @@ -5,6 +5,7 @@ from flowfile_core.utils.arrow_reader import get_read_top_n from flowfile_core.schemas import input_schema, schemas from flowfile_core.configs.flow_logger import NodeLogger +from flowfile_core.configs.settings import SINGLE_FILE_MODE, OFFLOAD_TO_WORKER from flowfile_core.schemas.output_model import TableExample, FileColumn, NodeData from flowfile_core.flowfile.utils import get_hash @@ -734,6 +735,19 @@ def get_example_data(): return get_example_data resulting_data = self.get_resulting_data() + if not performance_mode: + self.results.example_data_generator = example_data_generator() + def example_data_generator(): + example_data = None + + def get_example_data(): + nonlocal example_data + if example_data is None: + example_data = resulting_data.get_sample(100).to_arrow() + return example_data + return get_example_data + resulting_data = self.get_resulting_data() + if not performance_mode: self.results.example_data_generator = example_data_generator() self.node_schema.result_schema = self.results.resulting_data.schema @@ -907,14 +921,8 @@ def execute_node(self, run_location: schemas.ExecutionLocationsLiteral, reset_ca node_logger=node_logger) else: self.results.errors = str(e) - if "Connection refused" in str(e) and "/submit_query/" in str(e): - node_logger.warning("There was an issue connecting to the remote worker, " - "ensure the worker process is running, " - "or change the settings to, so it executes locally") - node_logger.error("Could not execute in the remote worker. (Re)start the worker service, or change settings to local settings.") - else: - node_logger.error(f'Error with running the node: {e}') - elif ((run_location == 'local') and + node_logger.error(f'Error with running the node: {e}') + elif ((run_location == 'local' or SINGLE_FILE_MODE) and (not self.node_stats.has_run_with_current_setup or self.node_template.node_group == "output")): try: node_logger.info('Executing fully locally') diff --git a/flowfile_core/tests/flowfile/analytics/test_analytics_processor.py b/flowfile_core/tests/flowfile/analytics/test_analytics_processor.py index 4e2ba5d3..8e4186a2 100644 --- a/flowfile_core/tests/flowfile/analytics/test_analytics_processor.py +++ b/flowfile_core/tests/flowfile/analytics/test_analytics_processor.py @@ -7,6 +7,21 @@ from pathlib import Path +def find_parent_directory(target_dir_name, start_path=None): + """Navigate up directories until finding the target directory""" + current_path = Path(start_path) if start_path else Path.cwd() + + while current_path != current_path.parent: + if current_path.name == target_dir_name: + return current_path + if current_path.name == target_dir_name: + return current_path + current_path = current_path.parent + + raise FileNotFoundError(f"Directory '{target_dir_name}' not found") +from pathlib import Path + + def find_parent_directory(target_dir_name, start_path=None): """Navigate up directories until finding the target directory""" current_path = Path(start_path) if start_path else Path.cwd() @@ -530,6 +545,9 @@ def test_analytics_processor_from_parquet_file_run_performance(): def test_analytics_processor_from_parquet_file_run_in_one_local_process(): + from flowfile_core.configs.settings import OFFLOAD_TO_WORKER + OFFLOAD_TO_WORKER.value = False + graph = create_graph() graph.flow_settings.execution_location = "local" @@ -546,3 +564,4 @@ def test_analytics_processor_from_parquet_file_run_in_one_local_process(): graph.run_graph() assert node_step.results.analysis_data_generator, 'The node should have to run' assert node_step.results.analysis_data_generator().__len__() == 10_000, 'There should be 1000 rows in the data' + OFFLOAD_TO_WORKER.value = True diff --git a/flowfile_core/tests/flowfile/test_flowfile.py b/flowfile_core/tests/flowfile/test_flowfile.py index 41483d2c..6414b6ae 100644 --- a/flowfile_core/tests/flowfile/test_flowfile.py +++ b/flowfile_core/tests/flowfile/test_flowfile.py @@ -421,6 +421,25 @@ def get_dependency_example(): return graph +def get_dependency_example(): + graph = create_graph() + graph = add_manual_input(graph, data=[{'name': 'John', 'city': 'New York'}, + {'name': 'Jane', 'city': 'Los Angeles'}, + {'name': 'Edward', 'city': 'Chicago'}, + {'name': 'Courtney', 'city': 'Chicago'}] +) + node_promise = input_schema.NodePromise(flow_id=1, node_id=2, node_type='unique') + graph.add_node_promise(node_promise) + + node_connection = input_schema.NodeConnection.create_from_simple_input(from_id=1, to_id=2) + add_connection(graph, node_connection) + input_file = input_schema.NodeUnique(flow_id=1, node_id=2, + unique_input=transform_schema.UniqueInput(columns=['city']) + ) + graph.add_unique(input_file) + return graph + + def ensure_excel_is_read_from_arrow_object(): settings = {'flow_id': 1, 'node_id': 1, 'cache_results': True, 'pos_x': 234.37272727272727, 'pos_y': 271.5272727272727, 'is_setup': True, 'description': '', @@ -1182,6 +1201,26 @@ def test_no_re_calculate_example_data_after_change_no_run(): add_connection(graph, input_schema.NodeConnection.create_from_simple_input(from_id=1, to_id=3)) graph.run_graph() + +def test_no_re_calculate_example_data_after_change_no_run(): + from flowfile_core.configs.settings import OFFLOAD_TO_WORKER + + OFFLOAD_TO_WORKER.value = False + + graph = get_dependency_example() + graph.flow_settings.execution_location = "local" + graph.run_graph() + graph.add_formula( + input_schema.NodeFormula( + flow_id=1, + node_id=3, + function=transform_schema.FunctionInput(transform_schema.FieldInput(name="titleCity"), + function="titlecase([city])"), + ) + ) + add_connection(graph, input_schema.NodeConnection.create_from_simple_input(from_id=1, to_id=3)) + graph.run_graph() + first_data = [row["titleCity"] for row in graph.get_node_data(3, True).main_output.data] assert len(first_data) > 0, 'Data should be present' graph.add_formula( @@ -1203,8 +1242,11 @@ def test_no_re_calculate_example_data_after_change_no_run(): assert after_change_data_after_run != first_data, 'Data should be different after run' + OFFLOAD_TO_WORKER.value = True def test_add_fuzzy_match_only_local(): + from flowfile_core.configs.settings import OFFLOAD_TO_WORKER + OFFLOAD_TO_WORKER.value = False graph = create_graph() graph.flow_settings.execution_location = "local" input_data = [{'name': 'eduward'}, @@ -1227,86 +1269,11 @@ def test_add_fuzzy_match_only_local(): run_info = graph.run_graph() handle_run_info(run_info) output_data = graph.get_node(2).get_resulting_data() - expected_data = FlowDataEngine( - {'name': ['courtney', 'eduward', 'edward', 'eduward', 'edward'], - 'name_right': ['courtney', 'edward', 'edward', 'eduward', 'eduward'], - 'name_vs_name_right_levenshtein': [1.0, 0.8571428571428572, 1.0, 1.0, 0.8571428571428572]} - ) + expected_data = FlowDataEngine([{'name': 'eduward', 'fuzzy_score_0': 0.8571428571428572, 'name_right': 'edward'}, + {'name': 'edward', 'fuzzy_score_0': 1.0, 'name_right': 'edward'}, + {'name': 'eduward', 'fuzzy_score_0': 1.0, 'name_right': 'eduward'}, + {'name': 'edward', 'fuzzy_score_0': 0.8571428571428572, 'name_right': 'eduward'}, + {'name': 'courtney', 'fuzzy_score_0': 1.0, 'name_right': 'courtney'}] + ) output_data.assert_equal(expected_data) - - -def test_changes_execution_mode(flow_logger): - settings = {'flow_id': 1, 'node_id': 1, 'pos_x': 304.8727272727273, - 'pos_y': 549.5272727272727, 'is_setup': True, 'description': 'Test csv', - 'received_file': {'id': None, 'name': 'fake_data.csv', - 'path': str(find_parent_directory("Flowfile")/'flowfile_core/tests/support_files/data/fake_data.csv'), - 'directory': None, 'analysis_file_available': False, 'status': None, - 'file_type': 'csv', 'fields': [], 'reference': '', 'starting_from_line': 0, - 'delimiter': ',', 'has_headers': True, 'encoding': 'utf-8', 'parquet_ref': None, - 'row_delimiter': '', 'quote_char': '', 'infer_schema_length': 20000, - 'truncate_ragged_lines': False, 'ignore_errors': False, 'sheet_name': None, - 'start_row': 0, 'start_column': 0, 'end_row': 0, 'end_column': 0, - 'type_inference': False}} - graph = create_graph() - flow_logger.warning(str(graph)) - add_node_promise_on_type(graph, 'read', 1) - input_file = input_schema.NodeRead(**settings) - graph.add_read(input_file) - run_info = graph.run_graph() - handle_run_info(run_info) - graph.add_select(select_settings=input_schema.NodeSelect(flow_id=1, node_id=2, - select_input=[transform_schema.SelectInput("City")], - keep_missing=True)) - add_connection(graph, input_schema.NodeConnection.create_from_simple_input(1, 2)) - explain_node_2 = graph.get_node(2).get_resulting_data().data_frame.explain() - assert "flowfile_core/tests/support_files/data/fake_data.csv" not in explain_node_2 - graph.execution_location = "local" - - explain_node_2 = graph.get_node(2).get_resulting_data().data_frame.explain() - # now it should read from the actual source, since we do not cache the data with the external worker - - assert "flowfile_core/tests/support_files/data/fake_data.csv" in explain_node_2 - - - -def test_fuzzy_match_schema_predict(flow_logger): - graph = create_graph() - input_data = [{'name': 'eduward'}, - {'name': 'edward'}, - {'name': 'courtney'}] - add_manual_input(graph, data=input_data) - add_node_promise_on_type(graph, 'fuzzy_match', 2) - left_connection = input_schema.NodeConnection.create_from_simple_input(1, 2) - right_connection = input_schema.NodeConnection.create_from_simple_input(1, 2) - right_connection.input_connection.connection_class = 'input-1' - add_connection(graph, left_connection) - add_connection(graph, right_connection) - data = {'flow_id': 1, 'node_id': 2, 'cache_results': False, 'join_input': - {'join_mapping': [{'left_col': 'name', 'right_col': 'name', 'threshold_score': 75, 'fuzzy_type': 'levenshtein', - 'valid': True}], - 'left_select': {'renames': [{'old_name': 'name', 'new_name': 'name', 'join_key': True, }]}, - 'right_select': {'renames': [{'old_name': 'name', 'new_name': 'name', 'join_key': True, }]}, - 'how': 'inner'}, 'auto_keep_all': True, 'auto_keep_right': True, 'auto_keep_left': True} - graph.add_fuzzy_match(input_schema.NodeFuzzyMatch(**data)) - node = graph.get_node(2) - org_func = node._function - - def test_func(*args, **kwargs): - raise ValueError('This is a test error') - node._function = test_func - # enforce to calculate the data based on the schema - predicted_data = node.get_predicted_resulting_data() - assert predicted_data.columns == ['name', 'name_right', 'name_vs_name_right_levenshtein'] - input_data = [{'name': 'eduward', 'other_field': 'test'}, - {'name': 'edward'}, - {'name': 'courtney'}] - add_manual_input(graph, data=input_data) - sleep(0.1) - predicted_data = node.get_predicted_resulting_data() # Gives none because the schema predict is programmed to run only once. - flow_logger.info("This is the test") - flow_logger.info(str(len(predicted_data.columns))) - flow_logger.warning(str(predicted_data.collect())) - assert len(predicted_data.columns) == 5 - node._function = org_func # Restore the original function - result = node.get_resulting_data() - assert result.columns == predicted_data.columns + OFFLOAD_TO_WORKER.value = True \ No newline at end of file diff --git a/flowfile_frontend/package.json b/flowfile_frontend/package.json index 8f9b8f61..e07e6ebc 100644 --- a/flowfile_frontend/package.json +++ b/flowfile_frontend/package.json @@ -1,6 +1,6 @@ { "name": "Flowfile", - "version": "0.3.9", + "version": "0.3.8", "description": "A tool for designing and executing data flows", "main": "main/main.js", "scripts": { diff --git a/local_data/local_products.parquet b/local_data/local_products.parquet new file mode 100644 index 0000000000000000000000000000000000000000..067b839aadbd41c23bceec4a8ac80ef15233e0f8 GIT binary patch literal 1999 zcmbtVYfw{16u!Bs2&jBq8oxkNLbLiDl-48tS`L!RV|@FlL;4X((W*L~Gf8tNh?!_qP!1*iSBJ7KfW zYcuCa&h1)Ie*a3VG^np3a!r5Z45|3cN3&P7=d^|gp57)--YT3C{zh+gzijgqiw$KRdeAD+_^I<;qm`(z)XBvjO$_e1X0l|wmKRt#oe&bp)=$h^4xLdN&$ z-=&>bC{*b<<^o|MY?oQH(8eR&33p*6CSj`~T10#{%gLY>!568gx?nEw(92?Z_*Yiu z0||f1rj4tP7R?Q)*`!|7s+?W_{_115?F*V}isEK&U)oZqJE8kL_dvZqVgIF)j>eLc zcOO-BHyILVy;|M7$9PIVZ`ZjNbJ8c-pALL%{rZ=(u4@PEDNshZ3L-Ffo`BCW7-_Xd zWzN&82`<^oA}hVfQCBfL`oD0(s;dcW3c(&PxhTArg|Q*#SUqhn(v}puL4FZUuQ72T zlSmh9L^7IInj0l!8pFA`+YkiCaODT#5mT@@-?1mF?)hDkQ)mK;j)1DWr3nD( z#@t^8WEQ}YTEQ_Wt;Q=7O2LdAsM=^5Eo^Xr(wLy14M6gEDcHMKX$Dny>%-a znP1y)4j_ACt1^PsGi^ZXWdv<9cuiKA?C-^cZ_YrP`&QlBLu&vg%DANle!zBF4_^N= z({9SNvMTC^)&lu8b*E!g(QkWXxJ`rdBwf(D`^AS!@0C(zxsEM`;30(6b5Od_(5W9a zU#PgLRXV^P1I%*U%Iy{~46#(5wLZ1HSx~IGS;Vp2Fg$Uzm5R%~$|W>w9p5}V_MVc` z$MWpT^b@+|{Q0>6Gvu#L>yUFpm4xD{;j!iH3b124q?I;7xZK!m`9QZbx2rr;1~OZ` z!2!$Z`khgs_I((;%AcS$w#-c1Zj7NJZlz+s0b%8LNL^r}UWi!8`i!Tk?k^(~fl2p1MWn zHcuMeJNvJe-Xlh}#4tweY-i|wqQ#$+KIcddv4#J4D#<&@-GC1fjftDRg)je5 zWnQMg?cKO(u zxk{!e6BSEQaFOJ9tACsYp4W8XhHgrQ7<$nWd&T9q$ literal 0 HcmV?d00001 diff --git a/pyproject.toml b/pyproject.toml index 0f849ce6..a94a590a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "Flowfile" -version = "0.3.9" +version = "0.3.8" description = "Project combining flowfile core (backend) and flowfile_worker (compute offloader) and flowfile_frame (api)" readme = "readme-pypi.md" authors = ["Edward van Eechoud "] From bc5c0dc4909026e79643acd086665d38c8ad22ef Mon Sep 17 00:00:00 2001 From: Edward van Eechoud <41021650+Edwardvaneechoud@users.noreply.github.com> Date: Fri, 15 Aug 2025 12:17:00 +0200 Subject: [PATCH 15/31] Fixing handling of pivot (#105) * Fixing handling of pivot * Fixing test for pivot table --- local_data/local_products.parquet | Bin 1999 -> 0 bytes 1 file changed, 0 insertions(+), 0 deletions(-) delete mode 100644 local_data/local_products.parquet diff --git a/local_data/local_products.parquet b/local_data/local_products.parquet deleted file mode 100644 index 067b839aadbd41c23bceec4a8ac80ef15233e0f8..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1999 zcmbtVYfw{16u!Bs2&jBq8oxkNLbLiDl-48tS`L!RV|@FlL;4X((W*L~Gf8tNh?!_qP!1*iSBJ7KfW zYcuCa&h1)Ie*a3VG^np3a!r5Z45|3cN3&P7=d^|gp57)--YT3C{zh+gzijgqiw$KRdeAD+_^I<;qm`(z)XBvjO$_e1X0l|wmKRt#oe&bp)=$h^4xLdN&$ z-=&>bC{*b<<^o|MY?oQH(8eR&33p*6CSj`~T10#{%gLY>!568gx?nEw(92?Z_*Yiu z0||f1rj4tP7R?Q)*`!|7s+?W_{_115?F*V}isEK&U)oZqJE8kL_dvZqVgIF)j>eLc zcOO-BHyILVy;|M7$9PIVZ`ZjNbJ8c-pALL%{rZ=(u4@PEDNshZ3L-Ffo`BCW7-_Xd zWzN&82`<^oA}hVfQCBfL`oD0(s;dcW3c(&PxhTArg|Q*#SUqhn(v}puL4FZUuQ72T zlSmh9L^7IInj0l!8pFA`+YkiCaODT#5mT@@-?1mF?)hDkQ)mK;j)1DWr3nD( z#@t^8WEQ}YTEQ_Wt;Q=7O2LdAsM=^5Eo^Xr(wLy14M6gEDcHMKX$Dny>%-a znP1y)4j_ACt1^PsGi^ZXWdv<9cuiKA?C-^cZ_YrP`&QlBLu&vg%DANle!zBF4_^N= z({9SNvMTC^)&lu8b*E!g(QkWXxJ`rdBwf(D`^AS!@0C(zxsEM`;30(6b5Od_(5W9a zU#PgLRXV^P1I%*U%Iy{~46#(5wLZ1HSx~IGS;Vp2Fg$Uzm5R%~$|W>w9p5}V_MVc` z$MWpT^b@+|{Q0>6Gvu#L>yUFpm4xD{;j!iH3b124q?I;7xZK!m`9QZbx2rr;1~OZ` z!2!$Z`khgs_I((;%AcS$w#-c1Zj7NJZlz+s0b%8LNL^r}UWi!8`i!Tk?k^(~fl2p1MWn zHcuMeJNvJe-Xlh}#4tweY-i|wqQ#$+KIcddv4#J4D#<&@-GC1fjftDRg)je5 zWnQMg?cKO(u zxk{!e6BSEQaFOJ9tACsYp4W8XhHgrQ7<$nWd&T9q$ From 1fb1f3295a0606c03ec9167c3a728ee6a31da22b Mon Sep 17 00:00:00 2001 From: Bernardo Fernandes <33932671+Bennylave@users.noreply.github.com> Date: Fri, 22 Aug 2025 15:31:45 +0100 Subject: [PATCH 16/31] Adding print_tree method to FlowGraph (#103) * Adding print_tree method to FlowGraph * Adding method print_tree() to FlowGraph * Adding method print_tree() to FlowGraph * Changes to node ordering in print_tree method * Changes to node ordering in print_tree method * Changes to node ordering of print_tree * Changes to node ordering of print_tree * retrigger checks * Adding tests for print_tree method * Adding tests for print_tree method * Adding tests for print_tree method * Adding tests for print_tree method * Adding tests for print_tree method * Adding tests for print_tree method * Adding tests for print_tree method * Adding tests for print_tree method * Adding tests for print_tree method * Merging skip_nodes and determine_execution_order * Merging skip_nodes and determine_execution_order * Merging skip_nodes and determine_execution_order * Merging skip_nodes and determine_execution_order * Merging skip_nodes and determine_execution_order * Merging skip_nodes and determine_execution_order * Merging skip_nodes and determine_execution_order * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Adding new graph_tree method with tests * Refactoring graph_tree method --------- Co-authored-by: Bernardo Fernandes --- .../flowfile_core/flowfile/flow_graph.py | 122 ++------- .../flowfile_core/flowfile/util/graph_tree.py | 233 ++++++++++++++++++ .../tests/flowfile/test_code_generator.py | 99 ++++++++ 3 files changed, 355 insertions(+), 99 deletions(-) create mode 100644 flowfile_core/flowfile_core/flowfile/util/graph_tree.py diff --git a/flowfile_core/flowfile_core/flowfile/flow_graph.py b/flowfile_core/flowfile_core/flowfile/flow_graph.py index f4f7d026..cadd8702 100644 --- a/flowfile_core/flowfile_core/flowfile/flow_graph.py +++ b/flowfile_core/flowfile_core/flowfile/flow_graph.py @@ -32,10 +32,7 @@ from flowfile_core.flowfile.analytics.utils import create_graphic_walker_node_from_node_promise from flowfile_core.flowfile.flow_node.flow_node import FlowNode from flowfile_core.flowfile.util.execution_orderer import compute_execution_plan -from flowfile_core.flowfile.graph_tree.graph_tree import (add_un_drawn_nodes, build_flow_paths, - build_node_info, calculate_depth, - define_node_connections, draw_merged_paths, - draw_standalone_paths, group_nodes_by_depth) +from flowfile_core.flowfile.util.graph_tree import add_undrawn_nodes, build_flow_paths, build_node_info, calculate_depth, define_node_connections, draw_merged_paths, draw_standalone_paths, group_nodes_by_depth, trace_path from flowfile_core.flowfile.flow_data_engine.polars_code_parser import polars_code_parser from flowfile_core.flowfile.flow_data_engine.subprocess_operations.subprocess_operations import (ExternalDatabaseFetcher, ExternalDatabaseWriter, @@ -229,18 +226,7 @@ def __init__(self, elif input_flow is not None: self.add_datasource(input_file=input_flow) - @property - def flow_settings(self) -> schemas.FlowSettings: - return self._flow_settings - - @flow_settings.setter - def flow_settings(self, flow_settings: schemas.FlowSettings): - if ( - (self._flow_settings.execution_location != flow_settings.execution_location) or - (self._flow_settings.execution_mode != flow_settings.execution_mode) - ): - self.reset() - self._flow_settings = flow_settings + skip_nodes, execution_order = compute_execution_plan(nodes=self.nodes,flow_starts=self._flow_starts+self.get_implicit_starter_nodes()) def add_node_promise(self, node_promise: input_schema.NodePromise): """Adds a placeholder node to the graph that is not yet fully configured. @@ -258,64 +244,6 @@ def placeholder(n: FlowNode = None): self.add_node_step(node_id=node_promise.node_id, node_type=node_promise.node_type, function=placeholder, setting_input=node_promise) - def print_tree(self, show_schema=False, show_descriptions=False): - """ - Print flow_graph as a tree. - """ - max_node_id = max(self._node_db.keys()) - - tree = "" - tabs = 0 - tab_counter = 0 - for node in self.nodes: - tab_counter += 1 - node_input = node.setting_input - operation = str(self._node_db[node_input.node_id]).split("(")[1][:-1].replace("_", " ").title() - - if operation == "Formula": - operation = "With Columns" - - tree += str(operation) + " (id=" + str(node_input.node_id) + ")" - - if show_descriptions & show_schema: - raise ValueError('show_descriptions and show_schema cannot be True simultaneously') - if show_descriptions: - tree += ": " + str(node_input.description) - elif show_schema: - tree += " -> [" - if operation == "Manual Input": - schema = ", ".join([str(i.name) + ": " + str(i.data_type) for i in node_input.raw_data_format.columns]) - tree += schema - elif operation == "With Columns": - tree_with_col_schema = ", " + node_input.function.field.name + ": " + node_input.function.field.data_type - tree += schema + tree_with_col_schema - elif operation == "Filter": - index = node_input.filter_input.advanced_filter.find("]") - filtered_column = str(node_input.filter_input.advanced_filter[1:index]) - schema = re.sub('({str(filtered_column)}: [A-Za-z0-9]+\,\s)', "", schema) - tree += schema - elif operation == "Group By": - for col in node_input.groupby_input.agg_cols: - schema = re.sub(str(col.old_name) + ': [a-z0-9]+\, ', "", schema) - tree += schema - tree += "]" - else: - if operation == "Manual Input": - tree += ": " + str(node_input.raw_data_format.data) - elif operation == "With Columns": - tree += ": " + str(node_input.function) - elif operation == "Filter": - tree += ": " + str(node_input.filter_input.advanced_filter) - elif operation == "Group By": - tree += ": groupby=[" + ", ".join([col.old_name for col in node_input.groupby_input.agg_cols if col.agg == "groupby"]) + "], " - tree += "agg=[" + ", ".join([str(col.agg) + "(" + str(col.old_name) + ")" for col in node_input.groupby_input.agg_cols if col.agg != "groupby"]) + "]" - - if node_input.node_id < max_node_id: - tree += "\n" + "# " + " "*3*(tabs-1) + "|___ " - print("\n"*2) - - return print(tree) - def apply_layout(self, y_spacing: int = 150, x_spacing: int = 200, initial_y: int = 100): """Calculates and applies a layered layout to all nodes in the graph. @@ -387,36 +315,41 @@ def __repr__(self): def print_tree(self): """Print flow_graph as a visual tree structure, showing the DAG relationships with ASCII art.""" if not self._node_db: - self.flow_logger.info("Empty flow graph") + print("Empty flow graph") return - + # Build node information node_info = build_node_info(self.nodes) # Calculate depths for all nodes for node_id in node_info: calculate_depth(node_id, node_info) - + # Group nodes by depth depth_groups, max_depth = group_nodes_by_depth(node_info) # Sort nodes within each depth group for depth in depth_groups: depth_groups[depth].sort() - + # Create the main flow visualization - lines = ["=" * 80, "Flow Graph Visualization", "=" * 80, ""] - + lines = [] + lines.append("=" * 80) + lines.append("Flow Graph Visualization") + lines.append("=" * 80) + lines.append("") + # Track which nodes connect to what merge_points = define_node_connections(node_info) # Build the flow paths - + paths = build_flow_paths(node_info,self._flow_starts, merge_points) + # Find the maximum label length for each depth level max_label_length = {} for depth in range(max_depth + 1): if depth in depth_groups: - max_len = max(len(node_info[nid].label) for nid in depth_groups[depth]) + max_len = max(len(node_info[nid]['label']) for nid in depth_groups[depth]) max_label_length[depth] = max_len # Draw the paths @@ -427,9 +360,9 @@ def print_tree(self): paths_by_merge = {} standalone_paths = [] - # Build flow paths + #Build flow paths paths = build_flow_paths(node_info, self._flow_starts, merge_points) - + # Define paths to merge and standalone paths for path in paths: if len(path) > 1 and path[-1] in merge_points and len(merge_points[path[-1]]) > 1: @@ -441,21 +374,19 @@ def print_tree(self): standalone_paths.append(path) # Draw merged paths - draw_merged_paths(node_info, merge_points, paths_by_merge, merge_drawn, drawn_nodes, lines) + draw_merged_paths(node_info, merge_points, paths_by_merge,merge_drawn, drawn_nodes, lines) # Draw standlone paths draw_standalone_paths(drawn_nodes, standalone_paths, lines, node_info) # Add undrawn nodes - add_un_drawn_nodes(drawn_nodes, node_info, lines) + add_undrawn_nodes(drawn_nodes, node_info, lines) try: - skip_nodes, ordered_nodes = compute_execution_plan( - nodes=self.nodes, - flow_starts=self._flow_starts+self.get_implicit_starter_nodes()) + skip_nodes, ordered_nodes = compute_execution_plan(nodes=self.nodes,flow_starts=self._flow_starts+self.get_implicit_starter_nodes()) if ordered_nodes: for i, node in enumerate(ordered_nodes, 1): - lines.append(f" {i:3d}. {node_info[node.node_id].label}") + lines.append(f" {i:3d}. {node_info[node.node_id]['label']}") except Exception as e: lines.append(f" Could not determine execution order: {e}") @@ -1683,18 +1614,11 @@ def run_graph(self) -> RunInformation | None: self.end_datetime = None self.latest_run_info = None self.flow_logger.info('Starting to run flowfile flow...') - skip_nodes = [node for node in self.nodes if not node.is_correct] - skip_nodes.extend([lead_to_node for node in skip_nodes for lead_to_node in node.leads_to_nodes]) - execution_order = determine_execution_order(all_nodes=[node for node in self.nodes if - node not in skip_nodes], - flow_starts=self._flow_starts+self.get_implicit_starter_nodes()) + skip_nodes, execution_order = compute_execution_plan(nodes=self.nodes, flow_starts=self._flow_starts+self.get_implicit_starter_nodes()) + skip_node_message(self.flow_logger, skip_nodes) execution_order_message(self.flow_logger, execution_order) performance_mode = self.flow_settings.execution_mode == 'Performance' - if self.flow_settings.execution_location == 'local': - OFFLOAD_TO_WORKER.value = False - elif self.flow_settings.execution_location == 'remote': - OFFLOAD_TO_WORKER.value = True for node in execution_order: node_logger = self.flow_logger.get_node_logger(node.node_id) if self.flow_settings.is_canceled: diff --git a/flowfile_core/flowfile_core/flowfile/util/graph_tree.py b/flowfile_core/flowfile_core/flowfile/util/graph_tree.py new file mode 100644 index 00000000..9231ff0c --- /dev/null +++ b/flowfile_core/flowfile_core/flowfile/util/graph_tree.py @@ -0,0 +1,233 @@ + +# Calculate depth for each node +def calculate_depth(node_id, node_info, visited=None): + """Calculates the depth of each node.""" + + if visited is None: + visited = set() + if node_id in visited: + return node_info[node_id]['depth'] + visited.add(node_id) + + max_input_depth = -1 + inputs = node_info[node_id]['inputs'] + + for main_id in inputs['main']: + max_input_depth = max(max_input_depth, calculate_depth(main_id, node_info, visited)) + if inputs['left']: + max_input_depth = max(max_input_depth, calculate_depth(inputs['left'], node_info, visited)) + if inputs['right']: + max_input_depth = max(max_input_depth, calculate_depth(inputs['right'], node_info, visited)) + + node_info[node_id]['depth'] = max_input_depth + 1 + return node_info[node_id]['depth'] + + +# Trace paths from each root +def trace_path(node_id, node_info, merge_points, current_path=None): + """Define the trace of each node path""" + if current_path is None: + current_path = [] + + current_path = current_path + [node_id] + outputs = node_info[node_id]['outputs'] + + if not outputs: + # End of path + return [current_path] + + # If this node has multiple outputs or connects to a merge point, branch + all_paths = [] + for output_id in outputs: + if output_id in merge_points and len(merge_points[output_id]) > 1: + # This is a merge point, end this path here + all_paths.append(current_path + [output_id]) + else: + # Continue the path + all_paths.extend(trace_path(output_id, node_info, merge_points, current_path)) + + return all_paths + +def build_node_info(nodes): + """Builds node information used to construct the graph tree.""" + + node_info = {} + + for node in nodes: + node_id = node.node_id + + # Get node label + operation = node.node_type.replace("_", " ").title() if node.node_type else "Unknown" + label = f"{operation} (id={node_id})" + if hasattr(node, 'setting_input') and hasattr(node.setting_input, 'description'): + if node.setting_input.description: + desc = node.setting_input.description + if len(desc) > 20: # Truncate long descriptions + desc = desc[:17] + "..." + label = f"{operation} ({node_id}): {desc}" + + # Get inputs and outputs + inputs = { + 'main': [n.node_id for n in (node.node_inputs.main_inputs or [])], + 'left': node.node_inputs.left_input.node_id if node.node_inputs.left_input else None, + 'right': node.node_inputs.right_input.node_id if node.node_inputs.right_input else None + } + outputs = [n.node_id for n in node.leads_to_nodes] + + node_info[node_id] = { + 'label': label, + 'short_label': f"{operation} ({node_id})", + 'inputs': inputs, + 'outputs': outputs, + 'depth': 0 + } + + return node_info + +def group_nodes_by_depth(node_info:dict): + """Groups each node by depth""" + + depth_groups = {} + max_depth = 0 + for node_id, info in node_info.items(): + depth = info['depth'] + max_depth = max(max_depth, depth) + if depth not in depth_groups: + depth_groups[depth] = [] + depth_groups[depth].append(node_id) + + return depth_groups, max_depth + +def define_node_connections(node_info:dict): + """Defines node connections to merge""" + + merge_points = {} # target_id -> list of source_ids + for node_id, info in node_info.items(): + for output_id in info['outputs']: + if output_id not in merge_points: + merge_points[output_id] = [] + merge_points[output_id].append(node_id) + + return merge_points + +def build_flow_paths(node_info:dict, flow_starts, merge_points:dict): + """Build the flow paths to be drawn""" + paths = [] # List of paths through the graph + visited_in_paths = set() + + # Find all root nodes (no inputs) + root_nodes = [nid for nid, info in node_info.items() + if not info['inputs']['main'] and not info['inputs']['left'] and not info['inputs']['right']] + + if not root_nodes and flow_starts: + root_nodes = [n.node_id for n in flow_starts] + + # Get all paths + for root_id in root_nodes: + paths.extend(trace_path(root_id, node_info, merge_points)) + + return paths + +def group_paths(paths:list, merge_points:dict): + """Groups each node path.""" + paths_by_merge = {} + standalone_paths = [] + + for path in paths: + if len(path) > 1 and path[-1] in merge_points and len(merge_points[path[-1]]) > 1: + merge_id = path[-1] + if merge_id not in paths_by_merge: + paths_by_merge[merge_id] = [] + paths_by_merge[merge_id].append(path) + else: + standalone_paths.append(path) + return paths_by_merge, standalone_paths + +def draw_merged_paths(node_info:dict, merge_points:dict, paths_by_merge:dict, merge_drawn:set, drawn_nodes:set, lines:str): + """Draws paths for each node that merges.""" + for merge_id, merge_paths in paths_by_merge.items(): + if merge_id in merge_drawn: + continue + + merge_info = node_info[merge_id] + sources = merge_points[merge_id] + + # Draw each source path leading to the merge + for i, source_id in enumerate(sources): + # Find the path containing this source + source_path = None + for path in merge_paths: + if source_id in path: + source_path = path[:path.index(source_id) + 1] + break + + if source_path: + # Build the line for this path + line_parts = [] + for j, nid in enumerate(source_path): + if j == 0: + line_parts.append(node_info[nid]['label']) + else: + line_parts.append(f" ──> {node_info[nid]['short_label']}") + + # Add the merge arrow + if i == 0: + # First source + line = "".join(line_parts) + " ─────┐" + lines.append(line) + elif i == len(sources) - 1: + # Last source + line = "".join(line_parts) + " ─────┴──> " + merge_info['label'] + lines.append(line) + + # Continue with the rest of the path after merge + remaining = node_info[merge_id]['outputs'] + while remaining: + next_id = remaining[0] + lines[-1] += f" ──> {node_info[next_id]['label']}" + remaining = node_info[next_id]['outputs'] + drawn_nodes.add(next_id) + else: + # Middle sources + line = "".join(line_parts) + " ─────┤" + lines.append(line) + + for nid in source_path: + drawn_nodes.add(nid) + + drawn_nodes.add(merge_id) + merge_drawn.add(merge_id) + lines.append("") # Add spacing between merge groups + return paths_by_merge + +def draw_standalone_paths(drawn_nodes:set, standalone_paths:list, lines:str, node_info:dict): + """ Draws paths that do not merge.""" + # Draw standalone paths + for path in standalone_paths: + if all(nid in drawn_nodes for nid in path): + continue + + line_parts = [] + for i, node_id in enumerate(path): + if node_id not in drawn_nodes: + if i == 0: + line_parts.append(node_info[node_id]['label']) + else: + line_parts.append(f" ──> {node_info[node_id]['short_label']}") + drawn_nodes.add(node_id) + + if line_parts: + lines.append("".join(line_parts)) + +def add_undrawn_nodes(drawn_nodes:set, node_info:dict, lines:str): + """Adds isolated nodes if exists.""" + # Add any remaining undrawn nodes + for node_id in node_info: + if node_id not in drawn_nodes: + lines.append(node_info[node_id]['label'] + " (isolated)") + + lines.append("") + lines.append("=" * 80) + lines.append("Execution Order") + lines.append("=" * 80) + diff --git a/flowfile_core/tests/flowfile/test_code_generator.py b/flowfile_core/tests/flowfile/test_code_generator.py index 730d264f..4c3191b9 100644 --- a/flowfile_core/tests/flowfile/test_code_generator.py +++ b/flowfile_core/tests/flowfile/test_code_generator.py @@ -2415,6 +2415,105 @@ def test_aggregation_functions(): expected_df = flow.get_node(2).get_resulting_data().data_frame assert_frame_equal(result_df, expected_df, check_row_order=False) +def test_graph_tree(capsys): + """ Test made to the FlowGraph's print_tree method""" + + flow = create_basic_flow() + + manual_input_data_1 = [ + [1, 2, 3], + ["North", "South", "East"], + [10, 5, 8], + [150, 300, 200] + ] + + manual_input_data_2 = [ + [4, 5, 6], + ["West", "North", "South"], + [15, 12, 7], + [100, 200, 250] + ] + + manual_input_data_3 = [ + [7, 8, 9], + ["East", "West", "North"], + [10, 6, 3], + [180, 220, 350] + ] + + manual_input_data_4 = [ + [10, 11, 12], + ["South", "East", "West"], + [9, 4, 7], + [280, 260, 230] + ] + + for i,j in zip([manual_input_data_1,manual_input_data_2,manual_input_data_3,manual_input_data_4], range(1,5)): + data = input_schema.NodeManualInput( + flow_id=1, + node_id=j, + raw_data_format=input_schema.RawData( + columns=[ + input_schema.MinimalFieldInfo(name="id", data_type="Integer"), + input_schema.MinimalFieldInfo(name="region", data_type="String"), + input_schema.MinimalFieldInfo(name="quantity", data_type="Integer"), + input_schema.MinimalFieldInfo(name="price", data_type="Integer") + ], + data=i + ) + ) + flow.add_manual_input(data) + + # Add union node + union_node = input_schema.NodeUnion( + flow_id=1, + node_id=5, + depending_on_ids=[1, 2, 3, 4], + union_input=transform_schema.UnionInput(mode="relaxed") + ) + flow.add_union(union_node) + for i in range(1, 5): + connection = input_schema.NodeConnection.create_from_simple_input(i, 5, 'main') + add_connection(flow, connection) + + # Add group by node + groupby_node = input_schema.NodeGroupBy( + flow_id=1, + node_id=6, + depending_on_id=1, + groupby_input=transform_schema.GroupByInput( + agg_cols=[ + transform_schema.AggColl("region", "groupby"), + transform_schema.AggColl("quantity", "sum", "total_quantity"), + transform_schema.AggColl("price", "mean", "avg_price"), + transform_schema.AggColl("quantity", "count", "num_transactions") + ] + ) + ) + flow.add_group_by(groupby_node) + add_connection(flow, node_connection=input_schema.NodeConnection.create_from_simple_input(5, 6, 'main')) + + code = export_flow_to_polars(flow) + + verify_code_contains(code, + "df_1 = pl.LazyFrame(", + "df_2 = pl.LazyFrame(", + "df_3 = pl.LazyFrame(", + "df_4 = pl.LazyFrame(", + "df_5 = pl.concat(", + "df_6 = df_5.group_by(", + ) + verify_if_execute(code) + result_df = get_result_from_generated_code(code) + expected_df = flow.get_node(6).get_resulting_data().data_frame + assert_frame_equal(result_df, expected_df, check_row_order=False) + + flow.print_tree() + stdout = capsys.readouterr().out + + tree_elements = ["(id=", ">", "1.", "Execution Order", "Flow Graph Visualization", "="] + for element in tree_elements: + assert element in stdout def test_flow_with_disconnected_nodes(): """Test a flow where some nodes might not be connected properly""" From 64ef20c45ca9e8c212204b7564ad1c1d951db332 Mon Sep 17 00:00:00 2001 From: Edward van Eechoud <41021650+Edwardvaneechoud@users.noreply.github.com> Date: Fri, 22 Aug 2025 17:48:21 +0200 Subject: [PATCH 17/31] Migrating to pl-fuzzy-frame-match (#108) * Migrating to pl-fuzzy-frame-match * adding fuzzy match * Adding fuzzy match method to flowgraph * Schema callback changes in fuzzy match * Fixing tests and increasing overlap between generator and flowfile * Adapted pl-fuzzy-frame-match changes in branch * fix issue with test * adding prints to the test to debug * Make the schema_callback.py threadsafe and the object in fuzzy matching as well. * remove warning in _handle_fuzzy_match * increasing version fuzzy frame match * reverting change in the execution * Improve threading and order fuzzy match results based on incoming data --- flowfile_core/tests/flowfile/test_flowfile.py | 76 ++++++++++++++----- flowfile_frame/flowfile_frame/__init__.py | 4 + pyproject.toml | 3 +- 3 files changed, 62 insertions(+), 21 deletions(-) diff --git a/flowfile_core/tests/flowfile/test_flowfile.py b/flowfile_core/tests/flowfile/test_flowfile.py index 6414b6ae..dc6e3951 100644 --- a/flowfile_core/tests/flowfile/test_flowfile.py +++ b/flowfile_core/tests/flowfile/test_flowfile.py @@ -14,25 +14,13 @@ from flowfile_core.flowfile.flow_data_engine.flow_file_column.main import FlowfileColumn from flowfile_core.flowfile.schema_callbacks import pre_calculate_pivot_schema + import pytest from pathlib import Path from typing import List, Dict, Literal from copy import deepcopy from time import sleep -def find_parent_directory(target_dir_name,): - """Navigate up directories until finding the target directory""" - current_path = Path(__file__) - - while current_path != current_path.parent: - if current_path.name == target_dir_name: - return current_path - if current_path.name == target_dir_name: - return current_path - current_path = current_path.parent - - raise FileNotFoundError(f"Directory '{target_dir_name}' not found") - try: from tests.flowfile_core_test_utils import (is_docker_available, ensure_password_is_available) from tests.utils import ensure_cloud_storage_connection_is_available_and_get_connection @@ -337,8 +325,11 @@ def test_add_fuzzy_match(): def test_add_fuzzy_match_lcoal(): + from flowfile_core.configs.settings import OFFLOAD_TO_WORKER + graph = create_graph() graph.flow_settings.execution_location = "local" + OFFLOAD_TO_WORKER.value = False input_data = [{'name': 'eduward'}, {'name': 'edward'}, {'name': 'courtney'}] @@ -365,6 +356,7 @@ def test_add_fuzzy_match_lcoal(): 'name_vs_name_right_levenshtein': [1.0, 0.8571428571428572, 1.0, 0.8571428571428572, 1.0]} ) output_data.assert_equal(expected_data) + OFFLOAD_TO_WORKER.value = True def test_add_record_count(): @@ -1128,6 +1120,7 @@ def test_schema_callback_cloud_read(flow_logger): graph.add_cloud_storage_reader(node_settings) node = graph.get_node(1) assert node.schema_callback._future is not None, 'Schema callback future should be set' + assert node.schema_callback._future is not None, 'Schema callback future should be set' assert len(node.schema_callback()) == 4, 'Schema should have 4 columns' original_schema_callback = id(node.schema_callback) graph.add_cloud_storage_reader(node_settings) @@ -1244,6 +1237,7 @@ def test_no_re_calculate_example_data_after_change_no_run(): OFFLOAD_TO_WORKER.value = True + def test_add_fuzzy_match_only_local(): from flowfile_core.configs.settings import OFFLOAD_TO_WORKER OFFLOAD_TO_WORKER.value = False @@ -1269,11 +1263,53 @@ def test_add_fuzzy_match_only_local(): run_info = graph.run_graph() handle_run_info(run_info) output_data = graph.get_node(2).get_resulting_data() - expected_data = FlowDataEngine([{'name': 'eduward', 'fuzzy_score_0': 0.8571428571428572, 'name_right': 'edward'}, - {'name': 'edward', 'fuzzy_score_0': 1.0, 'name_right': 'edward'}, - {'name': 'eduward', 'fuzzy_score_0': 1.0, 'name_right': 'eduward'}, - {'name': 'edward', 'fuzzy_score_0': 0.8571428571428572, 'name_right': 'eduward'}, - {'name': 'courtney', 'fuzzy_score_0': 1.0, 'name_right': 'courtney'}] - ) + expected_data = FlowDataEngine( + {'name': ['courtney', 'eduward', 'edward', 'eduward', 'edward'], + 'name_right': ['courtney', 'edward', 'edward', 'eduward', 'eduward'], + 'name_vs_name_right_levenshtein': [1.0, 0.8571428571428572, 1.0, 1.0, 0.8571428571428572]} + ) output_data.assert_equal(expected_data) - OFFLOAD_TO_WORKER.value = True \ No newline at end of file + OFFLOAD_TO_WORKER.value = True + + +def test_fuzzy_match_schema_predict(flow_logger): + graph = create_graph() + input_data = [{'name': 'eduward'}, + {'name': 'edward'}, + {'name': 'courtney'}] + add_manual_input(graph, data=input_data) + add_node_promise_on_type(graph, 'fuzzy_match', 2) + left_connection = input_schema.NodeConnection.create_from_simple_input(1, 2) + right_connection = input_schema.NodeConnection.create_from_simple_input(1, 2) + right_connection.input_connection.connection_class = 'input-1' + add_connection(graph, left_connection) + add_connection(graph, right_connection) + data = {'flow_id': 1, 'node_id': 2, 'cache_results': False, 'join_input': + {'join_mapping': [{'left_col': 'name', 'right_col': 'name', 'threshold_score': 75, 'fuzzy_type': 'levenshtein', + 'valid': True}], + 'left_select': {'renames': [{'old_name': 'name', 'new_name': 'name', 'join_key': True, }]}, + 'right_select': {'renames': [{'old_name': 'name', 'new_name': 'name', 'join_key': True, }]}, + 'how': 'inner'}, 'auto_keep_all': True, 'auto_keep_right': True, 'auto_keep_left': True} + graph.add_fuzzy_match(input_schema.NodeFuzzyMatch(**data)) + node = graph.get_node(2) + org_func = node._function + + def test_func(*args, **kwargs): + raise ValueError('This is a test error') + node._function = test_func + # enforce to calculate the data based on the schema + predicted_data = node.get_predicted_resulting_data() + assert predicted_data.columns == ['name', 'name_right', 'name_vs_name_right_levenshtein'] + input_data = [{'name': 'eduward', 'other_field': 'test'}, + {'name': 'edward'}, + {'name': 'courtney'}] + add_manual_input(graph, data=input_data) + sleep(0.1) + predicted_data = node.get_predicted_resulting_data() # Gives none because the schema predict is programmed to run only once. + flow_logger.info("This is the test") + flow_logger.info(str(len(predicted_data.columns))) + flow_logger.warning(str(predicted_data.collect())) + assert len(predicted_data.columns) == 5 + node._function = org_func # Restore the original function + result = node.get_resulting_data() + assert result.columns == predicted_data.columns diff --git a/flowfile_frame/flowfile_frame/__init__.py b/flowfile_frame/flowfile_frame/__init__.py index 9b8ba70b..6b7639db 100644 --- a/flowfile_frame/flowfile_frame/__init__.py +++ b/flowfile_frame/flowfile_frame/__init__.py @@ -1,9 +1,13 @@ # flowframe/__init__.py """A Polars-like API for building ETL graphs.""" +from flowfile_core.configs.settings import OFFLOAD_TO_WORKER +OFFLOAD_TO_WORKER.value = False + # Core classes from flowfile_frame.flow_frame import FlowFrame # noqa: F401 from pl_fuzzy_frame_match.models import FuzzyMapping # noqa: F401 +from pl_fuzzy_frame_match.models import FuzzyMapping # noqa: F401 from flowfile_frame.utils import create_flow_graph # noqa: F401 diff --git a/pyproject.toml b/pyproject.toml index a94a590a..6ebe9eac 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -58,7 +58,8 @@ httpx = "^0.28.1" tqdm = "^4.67.1" s3fs = "^2025.7.0" pl-fuzzy-frame-match = ">=0.4.0" - +google-cloud-storage +azure-storage-blob [tool.poetry.scripts] flowfile_worker = "flowfile_worker.main:run" From ea0c8784d65fd957574c06659f895b61add76625 Mon Sep 17 00:00:00 2001 From: Edward van Eechoud <41021650+Edwardvaneechoud@users.noreply.github.com> Date: Sat, 23 Aug 2025 11:28:08 +0200 Subject: [PATCH 18/31] Feature/small refactor (#109) * Adding test file for print_tree * Small refactor that adds types to functions --- .../flowfile_core/flowfile/flow_graph.py | 43 ++-- .../flowfile_core/flowfile/util/graph_tree.py | 233 ------------------ .../tests/flowfile/test_code_generator.py | 99 -------- 3 files changed, 21 insertions(+), 354 deletions(-) delete mode 100644 flowfile_core/flowfile_core/flowfile/util/graph_tree.py diff --git a/flowfile_core/flowfile_core/flowfile/flow_graph.py b/flowfile_core/flowfile_core/flowfile/flow_graph.py index cadd8702..39b2e75d 100644 --- a/flowfile_core/flowfile_core/flowfile/flow_graph.py +++ b/flowfile_core/flowfile_core/flowfile/flow_graph.py @@ -32,7 +32,10 @@ from flowfile_core.flowfile.analytics.utils import create_graphic_walker_node_from_node_promise from flowfile_core.flowfile.flow_node.flow_node import FlowNode from flowfile_core.flowfile.util.execution_orderer import compute_execution_plan -from flowfile_core.flowfile.util.graph_tree import add_undrawn_nodes, build_flow_paths, build_node_info, calculate_depth, define_node_connections, draw_merged_paths, draw_standalone_paths, group_nodes_by_depth, trace_path +from flowfile_core.flowfile.graph_tree.graph_tree import (add_un_drawn_nodes, build_flow_paths, + build_node_info, calculate_depth, + define_node_connections, draw_merged_paths, + draw_standalone_paths, group_nodes_by_depth) from flowfile_core.flowfile.flow_data_engine.polars_code_parser import polars_code_parser from flowfile_core.flowfile.flow_data_engine.subprocess_operations.subprocess_operations import (ExternalDatabaseFetcher, ExternalDatabaseWriter, @@ -315,43 +318,37 @@ def __repr__(self): def print_tree(self): """Print flow_graph as a visual tree structure, showing the DAG relationships with ASCII art.""" if not self._node_db: - print("Empty flow graph") + self.flow_logger.info("Empty flow graph") return - # Build node information node_info = build_node_info(self.nodes) # Calculate depths for all nodes for node_id in node_info: calculate_depth(node_id, node_info) - + # Group nodes by depth depth_groups, max_depth = group_nodes_by_depth(node_info) # Sort nodes within each depth group for depth in depth_groups: depth_groups[depth].sort() - + # Create the main flow visualization - lines = [] - lines.append("=" * 80) - lines.append("Flow Graph Visualization") - lines.append("=" * 80) - lines.append("") - + lines = ["=" * 80, "Flow Graph Visualization", "=" * 80, ""] + # Track which nodes connect to what merge_points = define_node_connections(node_info) - + # Build the flow paths - paths = build_flow_paths(node_info,self._flow_starts, merge_points) - + # Find the maximum label length for each depth level max_label_length = {} for depth in range(max_depth + 1): if depth in depth_groups: - max_len = max(len(node_info[nid]['label']) for nid in depth_groups[depth]) + max_len = max(len(node_info[nid].label) for nid in depth_groups[depth]) max_label_length[depth] = max_len - + # Draw the paths drawn_nodes = set() merge_drawn = set() @@ -360,9 +357,9 @@ def print_tree(self): paths_by_merge = {} standalone_paths = [] - #Build flow paths + # Build flow paths paths = build_flow_paths(node_info, self._flow_starts, merge_points) - + # Define paths to merge and standalone paths for path in paths: if len(path) > 1 and path[-1] in merge_points and len(merge_points[path[-1]]) > 1: @@ -374,19 +371,21 @@ def print_tree(self): standalone_paths.append(path) # Draw merged paths - draw_merged_paths(node_info, merge_points, paths_by_merge,merge_drawn, drawn_nodes, lines) + draw_merged_paths(node_info, merge_points, paths_by_merge, merge_drawn, drawn_nodes, lines) # Draw standlone paths draw_standalone_paths(drawn_nodes, standalone_paths, lines, node_info) # Add undrawn nodes - add_undrawn_nodes(drawn_nodes, node_info, lines) + add_un_drawn_nodes(drawn_nodes, node_info, lines) try: - skip_nodes, ordered_nodes = compute_execution_plan(nodes=self.nodes,flow_starts=self._flow_starts+self.get_implicit_starter_nodes()) + skip_nodes, ordered_nodes = compute_execution_plan( + nodes=self.nodes, + flow_starts=self._flow_starts+self.get_implicit_starter_nodes()) if ordered_nodes: for i, node in enumerate(ordered_nodes, 1): - lines.append(f" {i:3d}. {node_info[node.node_id]['label']}") + lines.append(f" {i:3d}. {node_info[node.node_id].label}") except Exception as e: lines.append(f" Could not determine execution order: {e}") diff --git a/flowfile_core/flowfile_core/flowfile/util/graph_tree.py b/flowfile_core/flowfile_core/flowfile/util/graph_tree.py deleted file mode 100644 index 9231ff0c..00000000 --- a/flowfile_core/flowfile_core/flowfile/util/graph_tree.py +++ /dev/null @@ -1,233 +0,0 @@ - -# Calculate depth for each node -def calculate_depth(node_id, node_info, visited=None): - """Calculates the depth of each node.""" - - if visited is None: - visited = set() - if node_id in visited: - return node_info[node_id]['depth'] - visited.add(node_id) - - max_input_depth = -1 - inputs = node_info[node_id]['inputs'] - - for main_id in inputs['main']: - max_input_depth = max(max_input_depth, calculate_depth(main_id, node_info, visited)) - if inputs['left']: - max_input_depth = max(max_input_depth, calculate_depth(inputs['left'], node_info, visited)) - if inputs['right']: - max_input_depth = max(max_input_depth, calculate_depth(inputs['right'], node_info, visited)) - - node_info[node_id]['depth'] = max_input_depth + 1 - return node_info[node_id]['depth'] - - -# Trace paths from each root -def trace_path(node_id, node_info, merge_points, current_path=None): - """Define the trace of each node path""" - if current_path is None: - current_path = [] - - current_path = current_path + [node_id] - outputs = node_info[node_id]['outputs'] - - if not outputs: - # End of path - return [current_path] - - # If this node has multiple outputs or connects to a merge point, branch - all_paths = [] - for output_id in outputs: - if output_id in merge_points and len(merge_points[output_id]) > 1: - # This is a merge point, end this path here - all_paths.append(current_path + [output_id]) - else: - # Continue the path - all_paths.extend(trace_path(output_id, node_info, merge_points, current_path)) - - return all_paths - -def build_node_info(nodes): - """Builds node information used to construct the graph tree.""" - - node_info = {} - - for node in nodes: - node_id = node.node_id - - # Get node label - operation = node.node_type.replace("_", " ").title() if node.node_type else "Unknown" - label = f"{operation} (id={node_id})" - if hasattr(node, 'setting_input') and hasattr(node.setting_input, 'description'): - if node.setting_input.description: - desc = node.setting_input.description - if len(desc) > 20: # Truncate long descriptions - desc = desc[:17] + "..." - label = f"{operation} ({node_id}): {desc}" - - # Get inputs and outputs - inputs = { - 'main': [n.node_id for n in (node.node_inputs.main_inputs or [])], - 'left': node.node_inputs.left_input.node_id if node.node_inputs.left_input else None, - 'right': node.node_inputs.right_input.node_id if node.node_inputs.right_input else None - } - outputs = [n.node_id for n in node.leads_to_nodes] - - node_info[node_id] = { - 'label': label, - 'short_label': f"{operation} ({node_id})", - 'inputs': inputs, - 'outputs': outputs, - 'depth': 0 - } - - return node_info - -def group_nodes_by_depth(node_info:dict): - """Groups each node by depth""" - - depth_groups = {} - max_depth = 0 - for node_id, info in node_info.items(): - depth = info['depth'] - max_depth = max(max_depth, depth) - if depth not in depth_groups: - depth_groups[depth] = [] - depth_groups[depth].append(node_id) - - return depth_groups, max_depth - -def define_node_connections(node_info:dict): - """Defines node connections to merge""" - - merge_points = {} # target_id -> list of source_ids - for node_id, info in node_info.items(): - for output_id in info['outputs']: - if output_id not in merge_points: - merge_points[output_id] = [] - merge_points[output_id].append(node_id) - - return merge_points - -def build_flow_paths(node_info:dict, flow_starts, merge_points:dict): - """Build the flow paths to be drawn""" - paths = [] # List of paths through the graph - visited_in_paths = set() - - # Find all root nodes (no inputs) - root_nodes = [nid for nid, info in node_info.items() - if not info['inputs']['main'] and not info['inputs']['left'] and not info['inputs']['right']] - - if not root_nodes and flow_starts: - root_nodes = [n.node_id for n in flow_starts] - - # Get all paths - for root_id in root_nodes: - paths.extend(trace_path(root_id, node_info, merge_points)) - - return paths - -def group_paths(paths:list, merge_points:dict): - """Groups each node path.""" - paths_by_merge = {} - standalone_paths = [] - - for path in paths: - if len(path) > 1 and path[-1] in merge_points and len(merge_points[path[-1]]) > 1: - merge_id = path[-1] - if merge_id not in paths_by_merge: - paths_by_merge[merge_id] = [] - paths_by_merge[merge_id].append(path) - else: - standalone_paths.append(path) - return paths_by_merge, standalone_paths - -def draw_merged_paths(node_info:dict, merge_points:dict, paths_by_merge:dict, merge_drawn:set, drawn_nodes:set, lines:str): - """Draws paths for each node that merges.""" - for merge_id, merge_paths in paths_by_merge.items(): - if merge_id in merge_drawn: - continue - - merge_info = node_info[merge_id] - sources = merge_points[merge_id] - - # Draw each source path leading to the merge - for i, source_id in enumerate(sources): - # Find the path containing this source - source_path = None - for path in merge_paths: - if source_id in path: - source_path = path[:path.index(source_id) + 1] - break - - if source_path: - # Build the line for this path - line_parts = [] - for j, nid in enumerate(source_path): - if j == 0: - line_parts.append(node_info[nid]['label']) - else: - line_parts.append(f" ──> {node_info[nid]['short_label']}") - - # Add the merge arrow - if i == 0: - # First source - line = "".join(line_parts) + " ─────┐" - lines.append(line) - elif i == len(sources) - 1: - # Last source - line = "".join(line_parts) + " ─────┴──> " + merge_info['label'] - lines.append(line) - - # Continue with the rest of the path after merge - remaining = node_info[merge_id]['outputs'] - while remaining: - next_id = remaining[0] - lines[-1] += f" ──> {node_info[next_id]['label']}" - remaining = node_info[next_id]['outputs'] - drawn_nodes.add(next_id) - else: - # Middle sources - line = "".join(line_parts) + " ─────┤" - lines.append(line) - - for nid in source_path: - drawn_nodes.add(nid) - - drawn_nodes.add(merge_id) - merge_drawn.add(merge_id) - lines.append("") # Add spacing between merge groups - return paths_by_merge - -def draw_standalone_paths(drawn_nodes:set, standalone_paths:list, lines:str, node_info:dict): - """ Draws paths that do not merge.""" - # Draw standalone paths - for path in standalone_paths: - if all(nid in drawn_nodes for nid in path): - continue - - line_parts = [] - for i, node_id in enumerate(path): - if node_id not in drawn_nodes: - if i == 0: - line_parts.append(node_info[node_id]['label']) - else: - line_parts.append(f" ──> {node_info[node_id]['short_label']}") - drawn_nodes.add(node_id) - - if line_parts: - lines.append("".join(line_parts)) - -def add_undrawn_nodes(drawn_nodes:set, node_info:dict, lines:str): - """Adds isolated nodes if exists.""" - # Add any remaining undrawn nodes - for node_id in node_info: - if node_id not in drawn_nodes: - lines.append(node_info[node_id]['label'] + " (isolated)") - - lines.append("") - lines.append("=" * 80) - lines.append("Execution Order") - lines.append("=" * 80) - diff --git a/flowfile_core/tests/flowfile/test_code_generator.py b/flowfile_core/tests/flowfile/test_code_generator.py index 4c3191b9..730d264f 100644 --- a/flowfile_core/tests/flowfile/test_code_generator.py +++ b/flowfile_core/tests/flowfile/test_code_generator.py @@ -2415,105 +2415,6 @@ def test_aggregation_functions(): expected_df = flow.get_node(2).get_resulting_data().data_frame assert_frame_equal(result_df, expected_df, check_row_order=False) -def test_graph_tree(capsys): - """ Test made to the FlowGraph's print_tree method""" - - flow = create_basic_flow() - - manual_input_data_1 = [ - [1, 2, 3], - ["North", "South", "East"], - [10, 5, 8], - [150, 300, 200] - ] - - manual_input_data_2 = [ - [4, 5, 6], - ["West", "North", "South"], - [15, 12, 7], - [100, 200, 250] - ] - - manual_input_data_3 = [ - [7, 8, 9], - ["East", "West", "North"], - [10, 6, 3], - [180, 220, 350] - ] - - manual_input_data_4 = [ - [10, 11, 12], - ["South", "East", "West"], - [9, 4, 7], - [280, 260, 230] - ] - - for i,j in zip([manual_input_data_1,manual_input_data_2,manual_input_data_3,manual_input_data_4], range(1,5)): - data = input_schema.NodeManualInput( - flow_id=1, - node_id=j, - raw_data_format=input_schema.RawData( - columns=[ - input_schema.MinimalFieldInfo(name="id", data_type="Integer"), - input_schema.MinimalFieldInfo(name="region", data_type="String"), - input_schema.MinimalFieldInfo(name="quantity", data_type="Integer"), - input_schema.MinimalFieldInfo(name="price", data_type="Integer") - ], - data=i - ) - ) - flow.add_manual_input(data) - - # Add union node - union_node = input_schema.NodeUnion( - flow_id=1, - node_id=5, - depending_on_ids=[1, 2, 3, 4], - union_input=transform_schema.UnionInput(mode="relaxed") - ) - flow.add_union(union_node) - for i in range(1, 5): - connection = input_schema.NodeConnection.create_from_simple_input(i, 5, 'main') - add_connection(flow, connection) - - # Add group by node - groupby_node = input_schema.NodeGroupBy( - flow_id=1, - node_id=6, - depending_on_id=1, - groupby_input=transform_schema.GroupByInput( - agg_cols=[ - transform_schema.AggColl("region", "groupby"), - transform_schema.AggColl("quantity", "sum", "total_quantity"), - transform_schema.AggColl("price", "mean", "avg_price"), - transform_schema.AggColl("quantity", "count", "num_transactions") - ] - ) - ) - flow.add_group_by(groupby_node) - add_connection(flow, node_connection=input_schema.NodeConnection.create_from_simple_input(5, 6, 'main')) - - code = export_flow_to_polars(flow) - - verify_code_contains(code, - "df_1 = pl.LazyFrame(", - "df_2 = pl.LazyFrame(", - "df_3 = pl.LazyFrame(", - "df_4 = pl.LazyFrame(", - "df_5 = pl.concat(", - "df_6 = df_5.group_by(", - ) - verify_if_execute(code) - result_df = get_result_from_generated_code(code) - expected_df = flow.get_node(6).get_resulting_data().data_frame - assert_frame_equal(result_df, expected_df, check_row_order=False) - - flow.print_tree() - stdout = capsys.readouterr().out - - tree_elements = ["(id=", ">", "1.", "Execution Order", "Flow Graph Visualization", "="] - for element in tree_elements: - assert element in stdout def test_flow_with_disconnected_nodes(): """Test a flow where some nodes might not be connected properly""" From bb673f144e76bf8386bb867921c42e23d9757a5f Mon Sep 17 00:00:00 2001 From: Edward van Eechoud <41021650+Edwardvaneechoud@users.noreply.github.com> Date: Sat, 23 Aug 2025 13:55:36 +0200 Subject: [PATCH 19/31] Feature/unify execution methods (#110) * removing auto to improve maintainability * Ensure the offload per worker is determined per graph and there is no dependency on a global variable. * Small improvement in logging * Removing global change in tests * skipping test in docker --- .../flow_data_engine/flow_data_engine.py | 1 - .../flowfile_core/flowfile/flow_graph.py | 18 +++- .../flowfile/flow_node/flow_node.py | 11 ++- .../analytics/test_analytics_processor.py | 4 - flowfile_core/tests/flowfile/test_flowfile.py | 89 ++++++++++++------- flowfile_frame/flowfile_frame/__init__.py | 3 - 6 files changed, 82 insertions(+), 44 deletions(-) diff --git a/flowfile_core/flowfile_core/flowfile/flow_data_engine/flow_data_engine.py b/flowfile_core/flowfile_core/flowfile/flow_data_engine/flow_data_engine.py index f4426541..c10c3e78 100644 --- a/flowfile_core/flowfile_core/flowfile/flow_data_engine/flow_data_engine.py +++ b/flowfile_core/flowfile_core/flowfile/flow_data_engine/flow_data_engine.py @@ -1937,7 +1937,6 @@ def get_number_of_records(self, warn: bool = False, force_calculate: bool = Fals """ if self.is_future and not self.is_collected: return -1 - calculate_in_worker_process = False if not OFFLOAD_TO_WORKER else calculate_in_worker_process if self.number_of_records is None or self.number_of_records < 0 or force_calculate: if self._number_of_records_callback is not None: self._number_of_records_callback(self) diff --git a/flowfile_core/flowfile_core/flowfile/flow_graph.py b/flowfile_core/flowfile_core/flowfile/flow_graph.py index 39b2e75d..3e6836b8 100644 --- a/flowfile_core/flowfile_core/flowfile/flow_graph.py +++ b/flowfile_core/flowfile_core/flowfile/flow_graph.py @@ -229,7 +229,18 @@ def __init__(self, elif input_flow is not None: self.add_datasource(input_file=input_flow) - skip_nodes, execution_order = compute_execution_plan(nodes=self.nodes,flow_starts=self._flow_starts+self.get_implicit_starter_nodes()) + @property + def flow_settings(self) -> schemas.FlowSettings: + return self._flow_settings + + @flow_settings.setter + def flow_settings(self, flow_settings: schemas.FlowSettings): + if ( + (self._flow_settings.execution_location != flow_settings.execution_location) or + (self._flow_settings.execution_mode != flow_settings.execution_mode) + ): + self.reset() + self._flow_settings = flow_settings def add_node_promise(self, node_promise: input_schema.NodePromise): """Adds a placeholder node to the graph that is not yet fully configured. @@ -320,6 +331,7 @@ def print_tree(self): if not self._node_db: self.flow_logger.info("Empty flow graph") return + # Build node information node_info = build_node_info(self.nodes) @@ -339,7 +351,7 @@ def print_tree(self): # Track which nodes connect to what merge_points = define_node_connections(node_info) - + # Build the flow paths # Find the maximum label length for each depth level @@ -348,7 +360,7 @@ def print_tree(self): if depth in depth_groups: max_len = max(len(node_info[nid].label) for nid in depth_groups[depth]) max_label_length[depth] = max_len - + # Draw the paths drawn_nodes = set() merge_drawn = set() diff --git a/flowfile_core/flowfile_core/flowfile/flow_node/flow_node.py b/flowfile_core/flowfile_core/flowfile/flow_node/flow_node.py index 5a34b4e4..6cd7339c 100644 --- a/flowfile_core/flowfile_core/flowfile/flow_node/flow_node.py +++ b/flowfile_core/flowfile_core/flowfile/flow_node/flow_node.py @@ -5,7 +5,6 @@ from flowfile_core.utils.arrow_reader import get_read_top_n from flowfile_core.schemas import input_schema, schemas from flowfile_core.configs.flow_logger import NodeLogger -from flowfile_core.configs.settings import SINGLE_FILE_MODE, OFFLOAD_TO_WORKER from flowfile_core.schemas.output_model import TableExample, FileColumn, NodeData from flowfile_core.flowfile.utils import get_hash @@ -921,8 +920,14 @@ def execute_node(self, run_location: schemas.ExecutionLocationsLiteral, reset_ca node_logger=node_logger) else: self.results.errors = str(e) - node_logger.error(f'Error with running the node: {e}') - elif ((run_location == 'local' or SINGLE_FILE_MODE) and + if "Connection refused" in str(e) and "/submit_query/" in str(e): + node_logger.warning("There was an issue connecting to the remote worker, " + "ensure the worker process is running, " + "or change the settings to, so it executes locally") + node_logger.error("Could not execute in the remote worker. (Re)start the worker service, or change settings to local settings.") + else: + node_logger.error(f'Error with running the node: {e}') + elif ((run_location == 'local') and (not self.node_stats.has_run_with_current_setup or self.node_template.node_group == "output")): try: node_logger.info('Executing fully locally') diff --git a/flowfile_core/tests/flowfile/analytics/test_analytics_processor.py b/flowfile_core/tests/flowfile/analytics/test_analytics_processor.py index 8e4186a2..6e0edb6b 100644 --- a/flowfile_core/tests/flowfile/analytics/test_analytics_processor.py +++ b/flowfile_core/tests/flowfile/analytics/test_analytics_processor.py @@ -545,9 +545,6 @@ def test_analytics_processor_from_parquet_file_run_performance(): def test_analytics_processor_from_parquet_file_run_in_one_local_process(): - from flowfile_core.configs.settings import OFFLOAD_TO_WORKER - OFFLOAD_TO_WORKER.value = False - graph = create_graph() graph.flow_settings.execution_location = "local" @@ -564,4 +561,3 @@ def test_analytics_processor_from_parquet_file_run_in_one_local_process(): graph.run_graph() assert node_step.results.analysis_data_generator, 'The node should have to run' assert node_step.results.analysis_data_generator().__len__() == 10_000, 'There should be 1000 rows in the data' - OFFLOAD_TO_WORKER.value = True diff --git a/flowfile_core/tests/flowfile/test_flowfile.py b/flowfile_core/tests/flowfile/test_flowfile.py index dc6e3951..8a31915a 100644 --- a/flowfile_core/tests/flowfile/test_flowfile.py +++ b/flowfile_core/tests/flowfile/test_flowfile.py @@ -14,13 +14,25 @@ from flowfile_core.flowfile.flow_data_engine.flow_file_column.main import FlowfileColumn from flowfile_core.flowfile.schema_callbacks import pre_calculate_pivot_schema - import pytest from pathlib import Path from typing import List, Dict, Literal from copy import deepcopy from time import sleep +def find_parent_directory(target_dir_name,): + """Navigate up directories until finding the target directory""" + current_path = Path(__file__) + + while current_path != current_path.parent: + if current_path.name == target_dir_name: + return current_path + if current_path.name == target_dir_name: + return current_path + current_path = current_path.parent + + raise FileNotFoundError(f"Directory '{target_dir_name}' not found") + try: from tests.flowfile_core_test_utils import (is_docker_available, ensure_password_is_available) from tests.utils import ensure_cloud_storage_connection_is_available_and_get_connection @@ -254,8 +266,13 @@ def test_opening_parquet_file(flow_logger: FlowLogger): def test_running_performance_mode(): graph = create_graph() from flowfile_core.configs.settings import OFFLOAD_TO_WORKER + from flowfile_core.configs.settings import OFFLOAD_TO_WORKER add_node_promise_on_type(graph, 'read', 1, 1) from flowfile_core.configs.flow_logger import main_logger + received_table = input_schema.ReceivedTable( + file_type='parquet', name='table.parquet', + path=str(find_parent_directory("Flowfile")/'flowfile_core/tests/support_files/data/table.parquet')) + from flowfile_core.configs.flow_logger import main_logger received_table = input_schema.ReceivedTable( file_type='parquet', name='table.parquet', path=str(find_parent_directory("Flowfile")/'flowfile_core/tests/support_files/data/table.parquet')) @@ -263,6 +280,8 @@ def test_running_performance_mode(): graph.add_read(node_read) main_logger.warning(str(graph)) main_logger.warning(OFFLOAD_TO_WORKER) + main_logger.warning(str(graph)) + main_logger.warning(OFFLOAD_TO_WORKER) add_node_promise_on_type(graph, 'record_count', 2) connection = input_schema.NodeConnection.create_from_simple_input(1, 2) add_connection(graph, connection) @@ -274,6 +293,7 @@ def test_running_performance_mode(): graph.flow_settings.execution_mode = 'Development' slow = graph.run_graph() + assert slow.node_step_result[1].run_time > fast.node_step_result[1].run_time, 'Performance mode should be faster' @@ -325,11 +345,8 @@ def test_add_fuzzy_match(): def test_add_fuzzy_match_lcoal(): - from flowfile_core.configs.settings import OFFLOAD_TO_WORKER - graph = create_graph() graph.flow_settings.execution_location = "local" - OFFLOAD_TO_WORKER.value = False input_data = [{'name': 'eduward'}, {'name': 'edward'}, {'name': 'courtney'}] @@ -356,7 +373,6 @@ def test_add_fuzzy_match_lcoal(): 'name_vs_name_right_levenshtein': [1.0, 0.8571428571428572, 1.0, 0.8571428571428572, 1.0]} ) output_data.assert_equal(expected_data) - OFFLOAD_TO_WORKER.value = True def test_add_record_count(): @@ -1164,12 +1180,16 @@ def tracking_method(*args, **kwargs): handle_run_info(result) +@pytest.mark.skipif(not is_docker_available(), reason="Docker is not available or not running so database reader cannot be tested") @pytest.mark.skipif(not is_docker_available(), reason="Docker is not available or not running so database reader cannot be tested") def test_complex_cloud_write_scenario(): + ensure_cloud_storage_connection_is_available_and_get_connection() handler = FlowfileHandler() + flow_id = handler.import_flow(find_parent_directory("Flowfile") / "flowfile_core/tests/support_files/flows/test_cloud_local.flowfile") + flow_id = handler.import_flow(find_parent_directory("Flowfile") / "flowfile_core/tests/support_files/flows/test_cloud_local.flowfile") graph = handler.get_flow(flow_id) node= graph.get_node(3) @@ -1194,26 +1214,6 @@ def test_no_re_calculate_example_data_after_change_no_run(): add_connection(graph, input_schema.NodeConnection.create_from_simple_input(from_id=1, to_id=3)) graph.run_graph() - -def test_no_re_calculate_example_data_after_change_no_run(): - from flowfile_core.configs.settings import OFFLOAD_TO_WORKER - - OFFLOAD_TO_WORKER.value = False - - graph = get_dependency_example() - graph.flow_settings.execution_location = "local" - graph.run_graph() - graph.add_formula( - input_schema.NodeFormula( - flow_id=1, - node_id=3, - function=transform_schema.FunctionInput(transform_schema.FieldInput(name="titleCity"), - function="titlecase([city])"), - ) - ) - add_connection(graph, input_schema.NodeConnection.create_from_simple_input(from_id=1, to_id=3)) - graph.run_graph() - first_data = [row["titleCity"] for row in graph.get_node_data(3, True).main_output.data] assert len(first_data) > 0, 'Data should be present' graph.add_formula( @@ -1235,12 +1235,8 @@ def test_no_re_calculate_example_data_after_change_no_run(): assert after_change_data_after_run != first_data, 'Data should be different after run' - OFFLOAD_TO_WORKER.value = True - def test_add_fuzzy_match_only_local(): - from flowfile_core.configs.settings import OFFLOAD_TO_WORKER - OFFLOAD_TO_WORKER.value = False graph = create_graph() graph.flow_settings.execution_location = "local" input_data = [{'name': 'eduward'}, @@ -1269,7 +1265,40 @@ def test_add_fuzzy_match_only_local(): 'name_vs_name_right_levenshtein': [1.0, 0.8571428571428572, 1.0, 1.0, 0.8571428571428572]} ) output_data.assert_equal(expected_data) - OFFLOAD_TO_WORKER.value = True + + +def test_changes_execution_mode(flow_logger): + settings = {'flow_id': 1, 'node_id': 1, 'pos_x': 304.8727272727273, + 'pos_y': 549.5272727272727, 'is_setup': True, 'description': 'Test csv', + 'received_file': {'id': None, 'name': 'fake_data.csv', + 'path': str(find_parent_directory("Flowfile")/'flowfile_core/tests/support_files/data/fake_data.csv'), + 'directory': None, 'analysis_file_available': False, 'status': None, + 'file_type': 'csv', 'fields': [], 'reference': '', 'starting_from_line': 0, + 'delimiter': ',', 'has_headers': True, 'encoding': 'utf-8', 'parquet_ref': None, + 'row_delimiter': '', 'quote_char': '', 'infer_schema_length': 20000, + 'truncate_ragged_lines': False, 'ignore_errors': False, 'sheet_name': None, + 'start_row': 0, 'start_column': 0, 'end_row': 0, 'end_column': 0, + 'type_inference': False}} + graph = create_graph() + flow_logger.warning(str(graph)) + add_node_promise_on_type(graph, 'read', 1) + input_file = input_schema.NodeRead(**settings) + graph.add_read(input_file) + run_info = graph.run_graph() + handle_run_info(run_info) + graph.add_select(select_settings=input_schema.NodeSelect(flow_id=1, node_id=2, + select_input=[transform_schema.SelectInput("City")], + keep_missing=True)) + add_connection(graph, input_schema.NodeConnection.create_from_simple_input(1, 2)) + explain_node_2 = graph.get_node(2).get_resulting_data().data_frame.explain() + assert "flowfile_core/tests/support_files/data/fake_data.csv" not in explain_node_2 + graph.execution_location = "local" + + explain_node_2 = graph.get_node(2).get_resulting_data().data_frame.explain() + # now it should read from the actual source, since we do not cache the data with the external worker + + assert "flowfile_core/tests/support_files/data/fake_data.csv" in explain_node_2 + def test_fuzzy_match_schema_predict(flow_logger): diff --git a/flowfile_frame/flowfile_frame/__init__.py 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11:50:43 +0100 Subject: [PATCH 21/31] Resolving conflicts --- pyproject.toml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index d9523bb1..2fdc55dd 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -58,8 +58,8 @@ httpx = "^0.28.1" tqdm = "^4.67.1" s3fs = "^2025.7.0" pl-fuzzy-frame-match = ">=0.4.0" -google-cloud-storage -azure-storage-blob +google-cloud-storage = "^3.0.0" +azure-storage-blob = "^12.26.0" [tool.poetry.scripts] flowfile_worker = "flowfile_worker.main:run" From d15b58ed69585b0afe90a88ca5db54752a71f82f Mon Sep 17 00:00:00 2001 From: Bernardo Fernandes Date: Sun, 31 Aug 2025 14:09:34 +0100 Subject: [PATCH 22/31] Adding GCS test case --- poetry.lock | 4372 +++++++++++++++++++++++++ pyproject.toml | 5 +- test_utils/gcs/commands.py | 45 + test_utils/gcs/data_generator.py | 4 +- test_utils/gcs/demo_data_generator.py | 176 + test_utils/gcs/fixtures.py | 204 ++ 6 files changed, 4803 insertions(+), 3 deletions(-) create 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b/pyproject.toml index 2fdc55dd..68027742 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -58,6 +58,7 @@ httpx = "^0.28.1" tqdm = "^4.67.1" s3fs = "^2025.7.0" pl-fuzzy-frame-match = ">=0.4.0" +google-auth = "^2.40.0" google-cloud-storage = "^3.0.0" azure-storage-blob = "^12.26.0" @@ -71,8 +72,8 @@ stop_postgres = "test_utils.postgres.commands:stop_postgres" flowfile = "flowfile.__main__:main" start_minio = "test_utils.s3.commands:start_minio" stop_minio = "test_utils.s3.commands:stop_minio" -start_gcs_server = "test_utils.gcs.commands:start_fake_gcs_server" -stop_gcs_server = "test_utils.gcs.commands:stop_fake_gcs_server" +start_gcs = "test_utils.gcs.commands:start_gcs" +stop_gcs = "test_utils.gcs.commands:stop_gcs" [tool.poetry.group.dev.dependencies] diff --git a/test_utils/gcs/commands.py b/test_utils/gcs/commands.py index e69de29b..92e8025c 100644 --- a/test_utils/gcs/commands.py +++ b/test_utils/gcs/commands.py @@ -0,0 +1,45 @@ +import logging + +# Set up logging +logging.basicConfig( + level=logging.INFO, + format='%(asctime)s - %(levelname)s - %(message)s', + datefmt='%Y-%m-%d %H:%M:%S' +) +logger = logging.getLogger("postgres_commands") + + +def start_gcs(): + """Start GCS Server container for testing""" + from . import fixtures + if not fixtures.is_docker_available(): + logger.warning("Docker is not available. Cannot start PostgreSQL container.") + print("\n" + "=" * 50) + print("SKIPPING: Docker is not available on this system") + print("Tests requiring Docker will need to be skipped") + print("=" * 50 + "\n") + return 0 # Return success to allow pipeline to continue + + + if fixtures.start_gcs_container(): + print(f"MinIO started at http://localhost:{fixtures.GCS_PORT}") + return 0 + return 1 + + +def stop_gcs(): + """Stop MinIO container""" + from . import fixtures + + if not fixtures.is_docker_available(): + logger.warning("Docker is not available. Cannot stop MinIO container.") + print("\n" + "=" * 50) + print("SKIPPING: Docker is not available on this system") + print("Tests requiring Docker will need to be skipped") + print("=" * 50 + "\n") + return 0 + + if fixtures.stop_gcs_container(): + print("MinIO stopped successfully") + return 0 + return 1 \ No newline at end of file diff --git a/test_utils/gcs/data_generator.py b/test_utils/gcs/data_generator.py index 0619bd00..4851c81f 100644 --- a/test_utils/gcs/data_generator.py +++ b/test_utils/gcs/data_generator.py @@ -11,6 +11,7 @@ from pyiceberg.catalog import load_catalog import mimetypes from typing import Dict +from google.auth.credentials import AnonymousCredentials # Configure logging logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') @@ -20,6 +21,7 @@ GCS_PORT = int(os.environ.get("TEST_GCS_PORT", 4443)) GCS_BUCKET_NAME = os.environ.get("TEST_GCS_CONTAINER", "test-gcs") GCS_ENDPOINT_URL = f"https://{GCS_HOST}:{GCS_PORT}" +FAKE_GCS_SERVER_NAME = os.environ.get("TEST_MINIO_CONTAINER", "test-gcs-server") def _create_single_csv_file(gcs_client, df: pl.DataFrame, bucket_name: str): """Creates a single CSV file from a DataFrame and uploads it to GCS.""" @@ -231,7 +233,7 @@ def populate_test_data(endpoint_url: str, app_credentials_path: str, bucket_name logger.info("🚀 Starting data population...") # --- S3 Client and Storage Options --- if "localhost" in endpoint_url: - gcs_client = client_options={"api_endpoint": "{endpoint_url}"} + gcs_client = client_options={"credntials": AnonymousCredentials(), "api_endpoint": "{endpoint_url}"} else: gcs_client = storage.Client.from_service_account_json(app_credentials_path) diff --git a/test_utils/gcs/demo_data_generator.py b/test_utils/gcs/demo_data_generator.py new file mode 100644 index 00000000..c6a054fd --- /dev/null +++ b/test_utils/gcs/demo_data_generator.py @@ -0,0 +1,176 @@ +import logging +import io +import os +import tempfile +import shutil +import random +from datetime import datetime, timedelta + +# Third-party libraries +from google.cloud import storage +from google.auth.credentials import AnonymousCredentials +import polars as pl +import pyarrow as pa +from pyarrow import parquet as pq + +# Configure logging +logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') +logger = logging.getLogger(__name__) + +# --- MinIO/gcs Configuration --- +GCS_HOST = os.environ.get("TEST_GCS_HOST", "localhost") +GCS_PORT = int(os.environ.get("TEST_GCS_PORT", 4443)) +GCS_ENDPOINT_URL = f"http://{GCS_HOST}:{GCS_PORT}" + +# --- Data Generation Functions --- + +def _create_sales_data(gcs_client, df: pl.DataFrame, bucket_name: str): + """ + Creates partitioned Parquet files for the sales data based on year and month. + gcs://data-lake/sales/year=YYYY/month=MM/ + """ + logger.info("Writing partitioned sales data...") + # Use Polars' built-in partitioning + # A temporary local directory is needed to stage the partitioned files before uploading + with tempfile.TemporaryDirectory() as temp_dir: + df.write_parquet( + temp_dir, + use_pyarrow=True, + pyarrow_options={"partition_cols": ["year", "month"]} + ) + # Walk through the local directory and upload files to gcs + for root, _, files in os.walk(temp_dir): + for file in files: + if file.endswith(".parquet"): + local_path = os.path.join(root, file) + # Construct the gcs key to match the desired structure + relative_path = os.path.relpath(local_path, temp_dir) + gcs_key = f"data-lake/sales/{relative_path.replace(os.path.sep, '/')}" + bucket = gcs_client.bucket(bucket_name) + blob = bucket.blob(f'{gcs_key}') + blob.upload_from_file(local_path, content_type='application/parquet') + logger.info(f"Finished writing sales data to gcs://{bucket_name}/data-lake/sales/") + +def _create_customers_data(gcs_client, df: pl.DataFrame, bucket_name: str): + """ + Creates a Parquet file for the customers data. + gcs://data-lake/customers/ + """ + logger.info("Writing customers Parquet data...") + parquet_buffer = io.BytesIO() + df.write_parquet(parquet_buffer) + parquet_buffer.seek(0) + bucket = gcs_client.bucket(bucket_name) + blob = bucket.blob('data-lake/customers/customers.parquet') + blob.upload_from_file(parquet_buffer.getvalue(), content_type='application/parquet') + logger.info(f"Finished writing customers data to gcs://{bucket_name}/data-lake/customers/") + + +def _create_orders_data(gcs_client, df: pl.DataFrame, bucket_name: str): + """ + Creates a pipe-delimited CSV file for the orders data. + gcs://raw-data/orders/ + """ + logger.info("Writing orders CSV data...") + csv_buffer = io.BytesIO() + # Write with pipe delimiter and header + df.write_csv(csv_buffer, separator="|") + csv_buffer.seek(0) + bucket = gcs_client.bucket(bucket_name) + blob = bucket.blob('raw-data/orders/orders.csv') + blob.upload_from_file(csv_buffer.getvalue(), content_type='text/csv') + logger.info(f"Finished writing orders data to gcs://{bucket_name}/raw-data/orders/") + +def _create_products_data(df: pl.DataFrame): + """ + Creates a local Parquet file for the products data. + """ + logger.info("Writing local products Parquet data...") + # Create a directory for local data if it doesn't exist + local_data_dir = "local_data" + os.makedirs(local_data_dir, exist_ok=True) + file_path = os.path.join(local_data_dir, "local_products.parquet") + df.write_parquet(file_path) + logger.info(f"Finished writing products data to {file_path}") + + +def create_demo_data(endpoint_url: str, access_key: str, secret_key: str, bucket_name: str): + """ + Populates a MinIO bucket with test data matching the schemas from the examples. + """ + logger.info("🚀 Starting data population for flowfile examples...") + gcs_client = storage.client( + endpoint_url=GCS_ENDPOINT_URL, + credentials=AnonymousCredentials(), + ) + + # --- Generate Core DataFrames --- + DATA_SIZE = 15_000 # Increased data size for more variety + START_DATE = datetime(2022, 1, 1) + END_DATE = datetime(2024, 12, 31) + TOTAL_DAYS = (END_DATE - START_DATE).days + + # States for region mapping + states = ["CA", "OR", "WA", "NY", "NJ", "PA", "TX", "FL", "GA", "IL", "OH", "MI"] + + # Generate base sales data across multiple years + sales_data = { + "order_id": range(1, DATA_SIZE + 1), + "customer_id": [random.randint(100, 299) for _ in range(DATA_SIZE)], + "product_id": [random.randint(1, 100) for _ in range(DATA_SIZE)], + "order_date": [START_DATE + timedelta(days=random.randint(0, TOTAL_DAYS)) for _ in range(DATA_SIZE)], + "quantity": [random.randint(1, 5) for _ in range(DATA_SIZE)], + "unit_price": [round(random.uniform(10.0, 500.0), 2) for _ in range(DATA_SIZE)], + "discount_rate": [random.choice([0.0, 0.1, 0.15, 0.2, None]) for _ in range(DATA_SIZE)], + "status": [random.choice(["completed", "pending", "cancelled"]) for _ in range(DATA_SIZE)], + "customer_lifetime_value": [random.uniform(500, 20000) for _ in range(DATA_SIZE)], + "state": [random.choice(states) for _ in range(DATA_SIZE)], + } + sales_df = pl.from_dict(sales_data).with_columns([ + pl.col("order_date").dt.year().alias("year"), + pl.col("order_date").dt.month().alias("month"), + # The 'amount' column in the example seems to be the price before discount + pl.col("unit_price").alias("amount") + ]) + + # Generate customers DataFrame + unique_customer_ids = sales_df["customer_id"].unique().to_list() + customers_df = pl.DataFrame({ + "customer_id": unique_customer_ids, + "customer_segment": [random.choice(["VIP", "Regular", "New"]) for _ in unique_customer_ids] + }) + + # Generate products DataFrame + unique_product_ids = sales_df["product_id"].unique().to_list() + # Create a map of product_id to unit_price from the first occurrence in sales_df + product_price_map = sales_df.group_by("product_id").agg(pl.first("unit_price")).to_dict(as_series=False) + price_dict = dict(zip(product_price_map['product_id'], product_price_map['unit_price'])) + + products_df = pl.DataFrame({ + "product_id": unique_product_ids, + "product_category": [random.choice(["Electronics", "Books", "Clothing", "Home Goods"]) for _ in unique_product_ids], + "unit_price": [price_dict.get(pid) for pid in unique_product_ids] + }) + + # Generate orders DataFrame for the CSV file (subset of sales) + orders_df = sales_df.select(["customer_id", "product_id", "quantity", "discount_rate"]) + + logger.info(f"Generated {len(sales_df)} sales records across {sales_df['year'].n_unique()} years, for {len(customers_df)} customers, and {len(products_df)} products.") + + # --- Write Data to gcs and Local Filesystem --- + _create_sales_data(gcs_client, sales_df, bucket_name) + _create_customers_data(gcs_client, customers_df, bucket_name) + _create_orders_data(gcs_client, orders_df, bucket_name) + _create_products_data(products_df) + + logger.info("✅ All test data populated successfully.") + + +if __name__ == '__main__': + # The bucket that will be created and populated + BUCKET = "flowfile-demo-data" + + create_demo_data( + endpoint_url=GCS_ENDPOINT_URL, + bucket_name=BUCKET + ) diff --git a/test_utils/gcs/fixtures.py b/test_utils/gcs/fixtures.py index e69de29b..6d2049bd 100644 --- a/test_utils/gcs/fixtures.py +++ b/test_utils/gcs/fixtures.py @@ -0,0 +1,204 @@ +import os +import time +import subprocess +import logging +from contextlib import contextmanager +from typing import Dict, Generator +import shutil +from google.cloud import storage +from google.auth.credentials import AnonymousCredentials +from test_utils.gcs.data_generator import populate_test_data +from test_utils.gcs.demo_data_generator import create_demo_data + + + +logger = logging.getLogger("gcs_fixture") + +GCS_HOST = os.environ.get("TEST_GCS_HOST", "localhost") +GCS_PORT = int(os.environ.get("TEST_GCS_PORT", 4443)) +GCS_BUCKET_NAME = os.environ.get("TEST_GCS_CONTAINER", "test-gcs") +GCS_ENDPOINT_URL = f"https://{GCS_HOST}:{GCS_PORT}" +FAKE_GCS_SERVER_NAME = os.environ.get("TEST_GCS_CONTAINER", "test-gcs-server") +GCS_ROOT_USER = "GCS" +GCS_ROOT_PASSWORD = "gcsadmin" + +# Operating system detection +IS_MACOS = os.uname().sysname == 'Darwin' if hasattr(os, 'uname') else False +IS_WINDOWS = os.name == 'nt' + + +def get_gcs_client(): + """Get google.storage client for GCS Server""" + return storage.Client( + client_options={"credentials": AnonymousCredentials(), "api_endpoint": GCS_ENDPOINT_URL}, +) + + +def wait_for_gcs_server(max_retries=30, interval=1): + """Wait for GCS Server to be ready""" + for i in range(max_retries): + try: + client = get_gcs_client() + client.list_buckets() + logger.info("GCS Server is ready") + return True + except Exception: + if i < max_retries - 1: + time.sleep(interval) + continue + return False + +def is_container_running(container_name: str) -> bool: + """Check if Fake GCS Server container is already running""" + try: + result = subprocess.run( + ["docker", "ps", "--filter", f"name={container_name}", "--format", "{{.Names}}"], + capture_output=True, + text=True, + check=True + ) + return container_name in result.stdout.strip() + except subprocess.CalledProcessError: + return False + + +def stop_gcs_container() -> bool: + """Stop the Fake GCS Server container and remove its data volume for a clean shutdown.""" + container_name = FAKE_GCS_SERVER_NAME + volume_name = f"{container_name}-data" + + if not is_container_running(container_name): + logger.info(f"Container '{container_name}' is not running.") + # Attempt to remove the volume in case it was left orphaned + try: + subprocess.run(["docker", "volume", "rm", volume_name], check=False, capture_output=True) + except Exception: + pass # Ignore errors if volume doesn't exist + return True + + logger.info(f"Stopping and cleaning up container '{container_name}' and volume '{volume_name}'...") + try: + # Stop and remove the container + subprocess.run(["docker", "stop", container_name], check=True, capture_output=True) + subprocess.run(["docker", "rm", container_name], check=True, capture_output=True) + + # Remove the associated volume to clear all data + subprocess.run(["docker", "volume", "rm", volume_name], check=True, capture_output=True) + + logger.info("✅ GCS Server container and data volume successfully removed.") + return True + except subprocess.CalledProcessError as e: + stderr = e.stderr.decode() + if "no such volume" in stderr: + logger.info("Volume was already removed or never created.") + return True + logger.error(f"❌ Failed to clean up GCS Server resources: {stderr}") + return False + + +def create_test_buckets(): + """Create test buckets and populate with sample data""" + client = get_gcs_client() + + # Create test buckets + buckets = ['test-bucket', 'flowfile-test', 'sample-data', 'worker-test-bucket', 'demo-bucket'] + for bucket in buckets: + try: + client.create_bucket(Bucket=bucket) + logger.info(f"Created bucket: {bucket}") + except client.exceptions.BucketAlreadyExists: + logger.info(f"Bucket already exists: {bucket}") + except client.exceptions.BucketAlreadyOwnedByYou: + logger.info(f"Bucket already owned: {bucket}") + + +def is_docker_available() -> bool: + """ + Check if Docker is available on the system. + + Returns: + bool: True if Docker is available and working, False otherwise + """ + # Skip Docker on macOS and Windows in CI + if (IS_MACOS or IS_WINDOWS) and os.environ.get('CI', '').lower() in ('true', '1', 'yes'): + logger.info("Skipping Docker on macOS/Windows in CI environment") + return False + + # If docker executable is not in PATH + if shutil.which("docker") is None: + logger.warning("Docker executable not found in PATH") + return False + + # Try a simple docker command + try: + result = subprocess.run( + ["docker", "info"], + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, + timeout=5, + check=False # Don't raise exception on non-zero return code + ) + + if result.returncode != 0: + logger.warning("Docker is not operational") + return False + + return True + except (subprocess.SubprocessError, OSError): + logger.warning("Error running Docker command") + return False + + +def start_gcs_container() -> bool: + """Start Fake GCS Server container with initialization""" + if is_container_running(FAKE_GCS_SERVER_NAME): + logger.info(f"Container {FAKE_GCS_SERVER_NAME} is already running") + return True + try: + # Start GCS Server with volume for persistence + subprocess.run([ + "docker", "run", "-d", + "--name", FAKE_GCS_SERVER_NAME, + "-p", f"{GCS_PORT}:4443", + "-e", f"GCS_ROOT_USER={GCS_ROOT_USER}", + "-e", f"GCS_ROOT_PASSWORD={GCS_ROOT_PASSWORD}", + "-v", f"{FAKE_GCS_SERVER_NAME}-data:/data", + "fsouza/fake-gcs-server", "server", "/data", "--console-address", ":4443", "-scheme", "https" + ], check=True) + + # Wait for GCS Server to be ready + if wait_for_gcs_server(): + create_test_buckets() + populate_test_data(endpoint_url=GCS_ENDPOINT_URL, + bucket_name="test-bucket") + create_demo_data(endpoint_url=GCS_ENDPOINT_URL, + bucket_name="demo-bucket") + return True + return False + + except Exception as e: + logger.error(f"Failed to start GCS Server: {e}") + stop_gcs_container() + return False + + +@contextmanager +def managed_gcs() -> Generator[Dict[str, any], None, None]: + """Context manager for GCS Server container with full connection info""" + if not start_gcs_container(): + yield {} + return + + try: + connection_info = { + "endpoint_url": GCS_ENDPOINT_URL, + "host": GCS_HOST, + "port": GCS_PORT, + "console_port": GCS_PORT, + "connection_string": GCS_ENDPOINT_URL, + } + yield connection_info + finally: + # Optionally keep container running for debugging + if os.environ.get("KEEP_GCS_RUNNING", "false").lower() != "true": + stop_gcs_container() From 5e8984e23852466ba6a86048b15f12195084c2d9 Mon Sep 17 00:00:00 2001 From: Bernardo Fernandes Date: Sun, 31 Aug 2025 14:27:54 +0100 Subject: [PATCH 23/31] Adding GCS test case --- test_utils/gcs/commands.py | 4 ++-- test_utils/gcs/fixtures.py | 19 +++++++++---------- 2 files changed, 11 insertions(+), 12 deletions(-) diff --git a/test_utils/gcs/commands.py b/test_utils/gcs/commands.py index 92e8025c..50eda916 100644 --- a/test_utils/gcs/commands.py +++ b/test_utils/gcs/commands.py @@ -21,7 +21,7 @@ def start_gcs(): return 0 # Return success to allow pipeline to continue - if fixtures.start_gcs_container(): + if fixtures.start_gcs(): print(f"MinIO started at http://localhost:{fixtures.GCS_PORT}") return 0 return 1 @@ -39,7 +39,7 @@ def stop_gcs(): print("=" * 50 + "\n") return 0 - if fixtures.stop_gcs_container(): + if fixtures.stop_gcs(): print("MinIO stopped successfully") return 0 return 1 \ No newline at end of file diff --git a/test_utils/gcs/fixtures.py b/test_utils/gcs/fixtures.py index 6d2049bd..b957da96 100644 --- a/test_utils/gcs/fixtures.py +++ b/test_utils/gcs/fixtures.py @@ -62,7 +62,7 @@ def is_container_running(container_name: str) -> bool: return False -def stop_gcs_container() -> bool: +def stop_gcs() -> bool: """Stop the Fake GCS Server container and remove its data volume for a clean shutdown.""" container_name = FAKE_GCS_SERVER_NAME volume_name = f"{container_name}-data" @@ -104,12 +104,11 @@ def create_test_buckets(): buckets = ['test-bucket', 'flowfile-test', 'sample-data', 'worker-test-bucket', 'demo-bucket'] for bucket in buckets: try: - client.create_bucket(Bucket=bucket) + client.bucket(bucket) + client.create_bucket(bucket) logger.info(f"Created bucket: {bucket}") - except client.exceptions.BucketAlreadyExists: - logger.info(f"Bucket already exists: {bucket}") - except client.exceptions.BucketAlreadyOwnedByYou: - logger.info(f"Bucket already owned: {bucket}") + except Exception: + logger.info(f"Could not create Bucket: {bucket}") def is_docker_available() -> bool: @@ -149,7 +148,7 @@ def is_docker_available() -> bool: return False -def start_gcs_container() -> bool: +def start_gcs() -> bool: """Start Fake GCS Server container with initialization""" if is_container_running(FAKE_GCS_SERVER_NAME): logger.info(f"Container {FAKE_GCS_SERVER_NAME} is already running") @@ -178,14 +177,14 @@ def start_gcs_container() -> bool: except Exception as e: logger.error(f"Failed to start GCS Server: {e}") - stop_gcs_container() + stop_gcs() return False @contextmanager def managed_gcs() -> Generator[Dict[str, any], None, None]: """Context manager for GCS Server container with full connection info""" - if not start_gcs_container(): + if not start_gcs(): yield {} return @@ -201,4 +200,4 @@ def managed_gcs() -> Generator[Dict[str, any], None, None]: finally: # Optionally keep container running for debugging if os.environ.get("KEEP_GCS_RUNNING", "false").lower() != "true": - stop_gcs_container() + stop_gcs() From c5abb72cdd472dd665c2eb16930802747def3800 Mon Sep 17 00:00:00 2001 From: Bernardo Fernandes Date: Sun, 31 Aug 2025 14:33:48 +0100 Subject: [PATCH 24/31] Adding GCS test case --- poetry.lock | 2 +- test_utils/gcs/fixtures.py | 14 +++++++------- 2 files changed, 8 insertions(+), 8 deletions(-) diff --git a/poetry.lock b/poetry.lock index 233b280d..04c57a13 100644 --- a/poetry.lock +++ b/poetry.lock @@ -4369,4 +4369,4 @@ propcache = ">=0.2.1" [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "7c8e2dc8f1a37f59f48dad3beeaa51d0f23b5a6b79deeb81ab0523b5e9735aed" +content-hash = "85b9165c897190ab436bd3a9e8b1a45c76025431ecc218f56e4cafb99aed10b1" diff --git a/test_utils/gcs/fixtures.py b/test_utils/gcs/fixtures.py index b957da96..d05641a5 100644 --- a/test_utils/gcs/fixtures.py +++ b/test_utils/gcs/fixtures.py @@ -18,7 +18,7 @@ GCS_PORT = int(os.environ.get("TEST_GCS_PORT", 4443)) GCS_BUCKET_NAME = os.environ.get("TEST_GCS_CONTAINER", "test-gcs") GCS_ENDPOINT_URL = f"https://{GCS_HOST}:{GCS_PORT}" -FAKE_GCS_SERVER_NAME = os.environ.get("TEST_GCS_CONTAINER", "test-gcs-server") +GCS_SERVER_NAME = os.environ.get("TEST_GCS_CONTAINER", "test-gcs-server") GCS_ROOT_USER = "GCS" GCS_ROOT_PASSWORD = "gcsadmin" @@ -64,7 +64,7 @@ def is_container_running(container_name: str) -> bool: def stop_gcs() -> bool: """Stop the Fake GCS Server container and remove its data volume for a clean shutdown.""" - container_name = FAKE_GCS_SERVER_NAME + container_name = GCS_SERVER_NAME volume_name = f"{container_name}-data" if not is_container_running(container_name): @@ -150,19 +150,19 @@ def is_docker_available() -> bool: def start_gcs() -> bool: """Start Fake GCS Server container with initialization""" - if is_container_running(FAKE_GCS_SERVER_NAME): - logger.info(f"Container {FAKE_GCS_SERVER_NAME} is already running") + if is_container_running(GCS_SERVER_NAME): + logger.info(f"Container {GCS_SERVER_NAME} is already running") return True try: # Start GCS Server with volume for persistence subprocess.run([ "docker", "run", "-d", - "--name", FAKE_GCS_SERVER_NAME, + "--name", GCS_SERVER_NAME, "-p", f"{GCS_PORT}:4443", "-e", f"GCS_ROOT_USER={GCS_ROOT_USER}", "-e", f"GCS_ROOT_PASSWORD={GCS_ROOT_PASSWORD}", - "-v", f"{FAKE_GCS_SERVER_NAME}-data:/data", - "fsouza/fake-gcs-server", "server", "/data", "--console-address", ":4443", "-scheme", "https" + "-v", f"{GCS_SERVER_NAME}-data:/data", + "fsouza/fake-gcs-server", "server", "/data", "-data" ,"--console-address", ":4443", "-scheme", "https" ], check=True) # Wait for GCS Server to be ready From 056e201072f2cf94842c65f85b31d4357626cd54 Mon Sep 17 00:00:00 2001 From: Bernardo Fernandes Date: Sun, 31 Aug 2025 14:37:28 +0100 Subject: [PATCH 25/31] Adding GCS test case --- flowfile_core/flowfile_core/flowfile/flow_graph.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/flowfile_core/flowfile_core/flowfile/flow_graph.py b/flowfile_core/flowfile_core/flowfile/flow_graph.py index 3e6836b8..b417c263 100644 --- a/flowfile_core/flowfile_core/flowfile/flow_graph.py +++ b/flowfile_core/flowfile_core/flowfile/flow_graph.py @@ -1635,7 +1635,7 @@ def run_graph(self) -> RunInformation | None: if self.flow_settings.is_canceled: self.flow_logger.info('Flow canceled') break - if node in self.skip_nodes: + if node in skip_nodes: node_logger.info(f'Skipping node {node.node_id}') continue node_result = NodeResult(node_id=node.node_id, node_name=node.name) @@ -1663,7 +1663,7 @@ def run_graph(self) -> RunInformation | None: node_result.is_running = False node_logger.error(f'Error in node {node.node_id}: {e}') if not node_result.success: - self.skip_nodes.extend(list(node.get_all_dependent_nodes())) + skip_nodes.extend(list(node.get_all_dependent_nodes())) node_logger.info(f'Completed node with success: {node_result.success}') self.nodes_completed += 1 self.flow_logger.info('Flow completed!') From eaebec6462e0fe78d58bdbc01773d93d1d230dd3 Mon Sep 17 00:00:00 2001 From: Bernardo Fernandes Date: Sun, 31 Aug 2025 14:46:26 +0100 Subject: [PATCH 26/31] Adding GCS test case --- flowfile_core/tests/utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/flowfile_core/tests/utils.py b/flowfile_core/tests/utils.py index 081c2749..207fc635 100644 --- a/flowfile_core/tests/utils.py +++ b/flowfile_core/tests/utils.py @@ -10,7 +10,7 @@ from flowfile_core.schemas.cloud_storage_schemas import FullCloudStorageConnection -def get_aws_cloud_connection(): +def get_cloud_connection(): """Reusable AWS CLI connection configuration.""" minio_connection = FullCloudStorageConnection( connection_name="minio-test", From d39c59c69423f71316ce8299ab7e2ece32e124a9 Mon Sep 17 00:00:00 2001 From: Bernardo Fernandes Date: Sun, 31 Aug 2025 14:53:35 +0100 Subject: [PATCH 27/31] Adding GCS test case From df03a5c38eaa7e85f470b718eabe34eda9e65b39 Mon Sep 17 00:00:00 2001 From: Bernardo Fernandes Date: Sun, 31 Aug 2025 14:56:37 +0100 Subject: [PATCH 28/31] Adding GCS test case --- poetry.lock | 4372 --------------------------------------------------- 1 file changed, 4372 deletions(-) delete mode 100644 poetry.lock diff --git a/poetry.lock b/poetry.lock deleted file mode 100644 index 04c57a13..00000000 --- a/poetry.lock +++ /dev/null @@ -1,4372 +0,0 @@ -# This file is automatically @generated by Poetry 2.1.4 and should not be changed by hand. - 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%(levelname)s - %(message)s') @@ -20,7 +22,7 @@ GCS_HOST = os.environ.get("TEST_GCS_HOST", "localhost") GCS_PORT = int(os.environ.get("TEST_GCS_PORT", 4443)) GCS_BUCKET_NAME = os.environ.get("TEST_GCS_CONTAINER", "test-gcs") -GCS_ENDPOINT_URL = f"https://{GCS_HOST}:{GCS_PORT}" +GCS_ENDPOINT_URL = f"http://{GCS_HOST}:{GCS_PORT}" FAKE_GCS_SERVER_NAME = os.environ.get("TEST_MINIO_CONTAINER", "test-gcs-server") def _create_single_csv_file(gcs_client, df: pl.DataFrame, bucket_name: str): @@ -220,7 +222,7 @@ def _create_iceberg_table(df: pl.DataFrame, bucket_name: str, endpoint_url: str, """) -def populate_test_data(endpoint_url: str, app_credentials_path: str, bucket_name: str): +def populate_test_data(endpoint_url: str, bucket_name: str): """ Populates a MinIO bucket with a variety of large-scale test data formats. @@ -231,12 +233,24 @@ def populate_test_data(endpoint_url: str, app_credentials_path: str, bucket_name bucket_name (str): The name of the bucket to populate. """ logger.info("🚀 Starting data population...") - # --- S3 Client and Storage Options --- - if "localhost" in endpoint_url: - gcs_client = client_options={"credntials": AnonymousCredentials(), "api_endpoint": "{endpoint_url}"} - else: - gcs_client = storage.Client.from_service_account_json(app_credentials_path) + # ---- Custom transport that skips SSL verification ---- + session = requests.Session() + session.verify = False # disable SSL cert verification + + transport = google.auth.transport.requests.AuthorizedSession( + AnonymousCredentials() + ) + transport.session = session # inject custom session + + # --- S3 Client and Storage Options --- + gcs_client = storage.Client( + project="test-project", + credentials=AnonymousCredentials(), + client_options={"api_endpoint": f"{endpoint_url}"}, + _http=transport + ) + # --- Data Generation --- data_size = 100_000 df = pl.DataFrame({ diff --git a/test_utils/gcs/demo_data_generator.py b/test_utils/gcs/demo_data_generator.py index c6a054fd..bf15f5f2 100644 --- a/test_utils/gcs/demo_data_generator.py +++ b/test_utils/gcs/demo_data_generator.py @@ -94,15 +94,17 @@ def _create_products_data(df: pl.DataFrame): logger.info(f"Finished writing products data to {file_path}") -def create_demo_data(endpoint_url: str, access_key: str, secret_key: str, bucket_name: str): +def create_demo_data(endpoint_url: str, bucket_name: str): """ Populates a MinIO bucket with test data matching the schemas from the examples. """ logger.info("🚀 Starting data population for flowfile examples...") - gcs_client = storage.client( - endpoint_url=GCS_ENDPOINT_URL, + + gcs_client = storage.Client( + project="test-project", credentials=AnonymousCredentials(), - ) + client_options={"api_endpoint": f"{endpoint_url}"} + ) # --- Generate Core DataFrames --- DATA_SIZE = 15_000 # Increased data size for more variety diff --git a/test_utils/gcs/fixtures.py b/test_utils/gcs/fixtures.py index d05641a5..e3058a66 100644 --- a/test_utils/gcs/fixtures.py +++ b/test_utils/gcs/fixtures.py @@ -9,7 +9,8 @@ from google.auth.credentials import AnonymousCredentials from test_utils.gcs.data_generator import populate_test_data from test_utils.gcs.demo_data_generator import create_demo_data - +from requests import Session +from google.auth.transport.requests import AuthorizedSession logger = logging.getLogger("gcs_fixture") @@ -17,7 +18,7 @@ GCS_HOST = os.environ.get("TEST_GCS_HOST", "localhost") GCS_PORT = int(os.environ.get("TEST_GCS_PORT", 4443)) GCS_BUCKET_NAME = os.environ.get("TEST_GCS_CONTAINER", "test-gcs") -GCS_ENDPOINT_URL = f"https://{GCS_HOST}:{GCS_PORT}" +GCS_ENDPOINT_URL = f"http://{GCS_HOST}:{GCS_PORT}" GCS_SERVER_NAME = os.environ.get("TEST_GCS_CONTAINER", "test-gcs-server") GCS_ROOT_USER = "GCS" GCS_ROOT_PASSWORD = "gcsadmin" @@ -29,10 +30,26 @@ def get_gcs_client(): """Get google.storage client for GCS Server""" - return storage.Client( - client_options={"credentials": AnonymousCredentials(), "api_endpoint": GCS_ENDPOINT_URL}, -) + + session = Session() + session.verify = False + + transport = AuthorizedSession( + AnonymousCredentials() + ) + transport.session = session + + try: + gcs_client = storage.Client( + project="test-project", + credentials= AnonymousCredentials(), + client_options={"api_endpoint": GCS_ENDPOINT_URL}, + _http=transport) + except Exception as e: + logger.error(f"Failed to create GCS client: {e}") + + return gcs_client def wait_for_gcs_server(max_retries=30, interval=1): """Wait for GCS Server to be ready""" @@ -44,6 +61,7 @@ def wait_for_gcs_server(max_retries=30, interval=1): return True except Exception: if i < max_retries - 1: + logger.info("Retrying connection to GCS Server...") time.sleep(interval) continue return False @@ -162,16 +180,25 @@ def start_gcs() -> bool: "-e", f"GCS_ROOT_USER={GCS_ROOT_USER}", "-e", f"GCS_ROOT_PASSWORD={GCS_ROOT_PASSWORD}", "-v", f"{GCS_SERVER_NAME}-data:/data", - "fsouza/fake-gcs-server", "server", "/data", "-data" ,"--console-address", ":4443", "-scheme", "https" + "fsouza/fake-gcs-server", "server", "/data", "-data" ,"--console-address", ":4443", "-scheme", "both" ], check=True) # Wait for GCS Server to be ready if wait_for_gcs_server(): - create_test_buckets() - populate_test_data(endpoint_url=GCS_ENDPOINT_URL, - bucket_name="test-bucket") - create_demo_data(endpoint_url=GCS_ENDPOINT_URL, - bucket_name="demo-bucket") + try: + create_test_buckets() + except Exception as e: + logger.error(f"Failed to create test buckets: {e}") + try: + populate_test_data(endpoint_url=GCS_ENDPOINT_URL, + bucket_name="test-bucket") + except Exception as e: + logger.error(f"Failed to populate test data: {e}") + try: + create_demo_data(endpoint_url=GCS_ENDPOINT_URL, + bucket_name="demo-bucket") + except Exception as e: + logger.error(f"Failed to create demo data: {e}") return True return False From 62be026b48cd449b170e0e4bde5c08f947b2587e Mon Sep 17 00:00:00 2001 From: Bernardo Fernandes Date: Mon, 1 Sep 2025 00:24:50 +0100 Subject: [PATCH 30/31] Adding GCS test case --- test_utils/gcs/data_generator.py | 4 ++-- test_utils/gcs/fixtures.py | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/test_utils/gcs/data_generator.py b/test_utils/gcs/data_generator.py index ac50c53e..66885967 100644 --- a/test_utils/gcs/data_generator.py +++ b/test_utils/gcs/data_generator.py @@ -118,7 +118,7 @@ def _create_delta_lake_table(gcs_client, arrow_table: pa.Table, bucket_name: str logger.info("Writing Delta Lake table...") bucket = gcs_client.bucket(bucket_name) blob = bucket.blob(f"delta-lake-table") - for root, _, files in os.walk(table_path): + for root, _, files in os.walk(f"http://{bucket_name}/delta-lake-table"): for f in files: local_path = os.path.join(root, f) rel_path = os.path.relpath(local_path, arrow_table) @@ -272,7 +272,7 @@ def populate_test_data(endpoint_url: str, bucket_name: str): # Convert to PyArrow table once for Delta and Iceberg arrow_table = df.to_arrow() - _create_delta_lake_table(arrow_table, bucket_name) + _create_delta_lake_table(gcs_client, arrow_table, bucket_name) _create_iceberg_table(df, bucket_name, endpoint_url, gcs_client) logger.info("✅ All test data populated successfully.") diff --git a/test_utils/gcs/fixtures.py b/test_utils/gcs/fixtures.py index e3058a66..d2eb745a 100644 --- a/test_utils/gcs/fixtures.py +++ b/test_utils/gcs/fixtures.py @@ -180,7 +180,7 @@ def start_gcs() -> bool: "-e", f"GCS_ROOT_USER={GCS_ROOT_USER}", "-e", f"GCS_ROOT_PASSWORD={GCS_ROOT_PASSWORD}", "-v", f"{GCS_SERVER_NAME}-data:/data", - "fsouza/fake-gcs-server", "server", "/data", "-data" ,"--console-address", ":4443", "-scheme", "both" + "fsouza/fake-gcs-server", "-scheme", "http", "server", "/data", "-data" ,"--console-address", ":4443" ], check=True) # Wait for GCS Server to be ready From 7b9403879464d8164ba8df35f7ca0ee55488b226 Mon Sep 17 00:00:00 2001 From: Bernardo Fernandes Date: Sun, 21 Sep 2025 10:33:58 +0100 Subject: [PATCH 31/31] further developments on gcs fake server --- test_utils/gcs/data_generator.py | 9 +++------ test_utils/gcs/demo_data_generator.py | 28 ++++++++++++--------------- 2 files changed, 15 insertions(+), 22 deletions(-) diff --git a/test_utils/gcs/data_generator.py b/test_utils/gcs/data_generator.py index 66885967..6363702c 100644 --- a/test_utils/gcs/data_generator.py +++ b/test_utils/gcs/data_generator.py @@ -10,7 +10,6 @@ from deltalake import write_deltalake from pyiceberg.catalog import load_catalog import mimetypes -from typing import Dict from google.auth.credentials import AnonymousCredentials import requests import google.auth.transport.requests @@ -118,7 +117,7 @@ def _create_delta_lake_table(gcs_client, arrow_table: pa.Table, bucket_name: str logger.info("Writing Delta Lake table...") bucket = gcs_client.bucket(bucket_name) blob = bucket.blob(f"delta-lake-table") - for root, _, files in os.walk(f"http://{bucket_name}/delta-lake-table"): + for root, _, files in os.walk(f"https://{bucket_name}/delta-lake-table"): for f in files: local_path = os.path.join(root, f) rel_path = os.path.relpath(local_path, arrow_table) @@ -128,15 +127,13 @@ def _create_delta_lake_table(gcs_client, arrow_table: pa.Table, bucket_name: str -def _create_iceberg_table(df: pl.DataFrame, bucket_name: str, endpoint_url: str, app_credentials: Dict, - gcs_client): +def _create_iceberg_table(df: pl.DataFrame, bucket_name: str, endpoint_url: str, gcs_client): """Creates an Apache Iceberg table and FORCES sane metadata pointers.""" logger.info("Writing Apache Iceberg table with SANE metadata access...") # Configure the catalog properties for S3 access catalog_props = { "py-io-impl": "pyiceberg.io.pyarrow.PyArrowFileIO", - "gcs.endpoint": endpoint_url, - "gcs.app-credentials": app_credentials + "gcs.endpoint": endpoint_url } # Creating a bucket instance to upload files diff --git a/test_utils/gcs/demo_data_generator.py b/test_utils/gcs/demo_data_generator.py index bf15f5f2..8afb9fd5 100644 --- a/test_utils/gcs/demo_data_generator.py +++ b/test_utils/gcs/demo_data_generator.py @@ -30,25 +30,19 @@ def _create_sales_data(gcs_client, df: pl.DataFrame, bucket_name: str): gcs://data-lake/sales/year=YYYY/month=MM/ """ logger.info("Writing partitioned sales data...") - # Use Polars' built-in partitioning - # A temporary local directory is needed to stage the partitioned files before uploading with tempfile.TemporaryDirectory() as temp_dir: - df.write_parquet( - temp_dir, - use_pyarrow=True, - pyarrow_options={"partition_cols": ["year", "month"]} - ) - # Walk through the local directory and upload files to gcs for root, _, files in os.walk(temp_dir): for file in files: + for (year, month), subset in df.group_by(["year", "month"]): + data = subset.write_parquet() + buf = io.BytesIO(data) if file.endswith(".parquet"): - local_path = os.path.join(root, file) - # Construct the gcs key to match the desired structure - relative_path = os.path.relpath(local_path, temp_dir) - gcs_key = f"data-lake/sales/{relative_path.replace(os.path.sep, '/')}" + gcs_key = f"data-lake/sales/year={year}/month={month}/{file}" bucket = gcs_client.bucket(bucket_name) - blob = bucket.blob(f'{gcs_key}') - blob.upload_from_file(local_path, content_type='application/parquet') + blob = bucket.blob(gcs_key) + # Upload + blob.upload_from_file(buf) + logger.info(f"Finished writing sales data to gcs://{bucket_name}/data-lake/sales/") def _create_customers_data(gcs_client, df: pl.DataFrame, bucket_name: str): @@ -62,7 +56,8 @@ def _create_customers_data(gcs_client, df: pl.DataFrame, bucket_name: str): parquet_buffer.seek(0) bucket = gcs_client.bucket(bucket_name) blob = bucket.blob('data-lake/customers/customers.parquet') - blob.upload_from_file(parquet_buffer.getvalue(), content_type='application/parquet') + buf = io.BytesIO(parquet_buffer.getvalue()) + blob.upload_from_file(buf, content_type='application/parquet') logger.info(f"Finished writing customers data to gcs://{bucket_name}/data-lake/customers/") @@ -78,7 +73,8 @@ def _create_orders_data(gcs_client, df: pl.DataFrame, bucket_name: str): csv_buffer.seek(0) bucket = gcs_client.bucket(bucket_name) blob = bucket.blob('raw-data/orders/orders.csv') - blob.upload_from_file(csv_buffer.getvalue(), content_type='text/csv') + buf = io.BytesIO(csv_buffer.getvalue()) + blob.upload_from_file(buf, content_type='text/csv') logger.info(f"Finished writing orders data to gcs://{bucket_name}/raw-data/orders/") def _create_products_data(df: pl.DataFrame):