graphrag/tests/verbs/test_create_communities.py

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# Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
from graphrag.config.create_graphrag_config import create_graphrag_config
from graphrag.data_model.schemas import COMMUNITIES_FINAL_COLUMNS
from graphrag.index.workflows.create_communities import (
run_workflow,
)
from graphrag.utils.storage import load_table_from_storage
from .util import (
Refactor config (#1593) * Refactor config - Add new ModelConfig to represent LLM settings - Combines LLMParameters, ParallelizationParameters, encoding_model, and async_mode - Add top level models config that is a list of available LLM ModelConfigs - Remove LLMConfig inheritance and delete LLMConfig - Replace the inheritance with a model_id reference to the ModelConfig listed in the top level models config - Remove all fallbacks and hydration logic from create_graphrag_config - This removes the automatic env variable overrides - Support env variables within config files using Templating - This requires "$" to be escaped with extra "$" so ".*\\.txt$" becomes ".*\\.txt$$" - Update init content to initialize new config file with the ModelConfig structure * Use dict of ModelConfig instead of list * Add model validations and unit tests * Fix ruff checks * Add semversioner change * Fix unit tests * validate root_dir in pydantic model * Rename ModelConfig to LanguageModelConfig * Rename ModelConfigMissingError to LanguageModelConfigMissingError * Add validationg for unexpected API keys * Allow skipping pydantic validation for testing/mocking purposes. * Add default lm configs to verb tests * smoke test * remove config from flows to fix llm arg mapping * Fix embedding llm arg mapping * Remove timestamp from smoke test outputs * Remove unused "subworkflows" smoke test properties * Add models to smoke test configs * Update smoke test output path * Send logs to logs folder * Fix output path * Fix csv test file pattern * Update placeholder * Format * Instantiate default model configs * Fix unit tests for config defaults * Fix migration notebook * Remove create_pipeline_config * Remove several unused config models * Remove indexing embedding and input configs * Move embeddings function to config * Remove skip_workflows * Remove skip embeddings in favor of explicit naming * fix unit test spelling mistake * self.models[model_id] is already a language model. Remove redundant casting. * update validation errors to instruct users to rerun graphrag init * instantiate LanguageModelConfigs with validation * skip validation in unit tests * update verb tests to use default model settings instead of skipping validation * test using llm settings * cleanup verb tests * remove unsafe default model config * remove the ability to skip pydantic validation * remove None union types when default values are set * move vector_store from embeddings to top level of config and delete resolve_paths * update vector store settings * fix vector store and smoke tests * fix serializing vector_store settings * fix vector_store usage * fix vector_store type * support cli overrides for loading graphrag config * rename storage to output * Add --force flag to init * Remove run_id and resume, fix Drift config assignment * Ruff --------- Co-authored-by: Nathan Evans <github@talkswithnumbers.com> Co-authored-by: Alonso Guevara <alonsog@microsoft.com>
2025-01-21 15:52:06 -08:00
DEFAULT_MODEL_CONFIG,
compare_outputs,
create_test_context,
load_test_table,
)
async def test_create_communities():
expected = load_test_table("communities")
context = await create_test_context(
storage=[
"entities",
"relationships",
],
)
Refactor config (#1593) * Refactor config - Add new ModelConfig to represent LLM settings - Combines LLMParameters, ParallelizationParameters, encoding_model, and async_mode - Add top level models config that is a list of available LLM ModelConfigs - Remove LLMConfig inheritance and delete LLMConfig - Replace the inheritance with a model_id reference to the ModelConfig listed in the top level models config - Remove all fallbacks and hydration logic from create_graphrag_config - This removes the automatic env variable overrides - Support env variables within config files using Templating - This requires "$" to be escaped with extra "$" so ".*\\.txt$" becomes ".*\\.txt$$" - Update init content to initialize new config file with the ModelConfig structure * Use dict of ModelConfig instead of list * Add model validations and unit tests * Fix ruff checks * Add semversioner change * Fix unit tests * validate root_dir in pydantic model * Rename ModelConfig to LanguageModelConfig * Rename ModelConfigMissingError to LanguageModelConfigMissingError * Add validationg for unexpected API keys * Allow skipping pydantic validation for testing/mocking purposes. * Add default lm configs to verb tests * smoke test * remove config from flows to fix llm arg mapping * Fix embedding llm arg mapping * Remove timestamp from smoke test outputs * Remove unused "subworkflows" smoke test properties * Add models to smoke test configs * Update smoke test output path * Send logs to logs folder * Fix output path * Fix csv test file pattern * Update placeholder * Format * Instantiate default model configs * Fix unit tests for config defaults * Fix migration notebook * Remove create_pipeline_config * Remove several unused config models * Remove indexing embedding and input configs * Move embeddings function to config * Remove skip_workflows * Remove skip embeddings in favor of explicit naming * fix unit test spelling mistake * self.models[model_id] is already a language model. Remove redundant casting. * update validation errors to instruct users to rerun graphrag init * instantiate LanguageModelConfigs with validation * skip validation in unit tests * update verb tests to use default model settings instead of skipping validation * test using llm settings * cleanup verb tests * remove unsafe default model config * remove the ability to skip pydantic validation * remove None union types when default values are set * move vector_store from embeddings to top level of config and delete resolve_paths * update vector store settings * fix vector store and smoke tests * fix serializing vector_store settings * fix vector_store usage * fix vector_store type * support cli overrides for loading graphrag config * rename storage to output * Add --force flag to init * Remove run_id and resume, fix Drift config assignment * Ruff --------- Co-authored-by: Nathan Evans <github@talkswithnumbers.com> Co-authored-by: Alonso Guevara <alonsog@microsoft.com>
2025-01-21 15:52:06 -08:00
config = create_graphrag_config({"models": DEFAULT_MODEL_CONFIG})
await run_workflow(
config,
context,
)
actual = await load_table_from_storage("communities", context.output_storage)
columns = list(expected.columns.values)
# don't compare period since it is created with the current date each time
columns.remove("period")
compare_outputs(
Add Incremental Indexing v1 (#1318) * Create entypoint for cli and api (#1067) * Add cli and api entrypoints for update index * Semver * Update docs * Run tests on feature branch main * Better /main handling in tests * Incremental indexing/file delta (#1123) * Calculate new inputs and deleted inputs on update * Semver * Clear ruff checks * Fix pyright * Fix PyRight * Ruff again * Update relationships after inc index (#1236) * Collapse create final community reports (#1227) * Remove extraneous param * Add community report mocking assertions * Collapse primary report generation * Collapse embeddings * Format * Semver * Remove extraneous check * Move option set * Collapse create base entity graph (#1233) * Collapse create_base_entity_graph * Format/typing * Semver * Fix smoke tests * Simplify assignment * Collapse create summarized entities (#1237) * Collapse entity summarize * Semver * Collapse create base extracted entities (#1235) * Set up base assertions * Replace entity_extract * Finish collapsing workflow * Semver * Update snoke tests * Incremental indexing/update final text units (#1241) * Update final text units * Format * Address comments * Add v1 community merge using time period (#1257) * Add naive community merge using time period * formatting * Query fixes * Add descriptions from merged_entities * Add summarization and embeddings * Use iso format * Ruff * Pyright and smoke tests * Pyright * Pyright * Update parquet for verb tests * Fix smoke tests * Remove sorting * Update smoke tests * Smoke tests * Smoke tests * Updated verb test to ack for latest changes on covariates * Add config for incremental index + Bug fixes (#1317) * Add config for incremental index + Bug fixes * Ruff * Fix smoke tests * Semversioner * Small refactor * Remove unused file * Ruff * Update verb tests inputs * Update verb tests inputs --------- Co-authored-by: Nathan Evans <github@talkswithnumbers.com>
2024-10-30 11:59:44 -06:00
actual,
expected,
columns=columns,
)
for column in COMMUNITIES_FINAL_COLUMNS:
assert column in actual.columns