Selaa lähdekoodia

Add yaml config validation (#890)

Sidharth Mohanty 1 vuosi sitten
vanhempi
commit
830a7397ef
7 muutettua tiedostoa jossa 206 lisäystä ja 19 poistoa
  1. 1 1
      configs/chroma.yaml
  2. 1 1
      configs/opensource.yaml
  3. 6 0
      embedchain/apps/app.py
  4. 6 0
      embedchain/pipeline.py
  5. 73 2
      embedchain/utils.py
  6. 118 15
      poetry.lock
  7. 1 0
      pyproject.toml

+ 1 - 1
configs/chroma.yaml

@@ -23,4 +23,4 @@ embedder:
   provider: openai
   config:
     model: 'text-embedding-ada-002'
-    deployment_name: null
+    deployment_name: 'test-deployment'

+ 1 - 1
configs/opensource.yaml

@@ -23,4 +23,4 @@ vectordb:
 embedder:
   provider: gpt4all
   config:
-    deployment_name: null
+    deployment_name: 'test-deployment'

+ 6 - 0
embedchain/apps/app.py

@@ -11,6 +11,7 @@ from embedchain.factory import EmbedderFactory, LlmFactory, VectorDBFactory
 from embedchain.helper.json_serializable import register_deserializable
 from embedchain.llm.base import BaseLlm
 from embedchain.llm.openai import OpenAILlm
+from embedchain.utils import validate_yaml_config
 from embedchain.vectordb.base import BaseVectorDB
 from embedchain.vectordb.chroma import ChromaDB
 
@@ -127,6 +128,11 @@ class App(EmbedChain):
         with open(yaml_path, "r") as file:
             config_data = yaml.safe_load(file)
 
+        try:
+            validate_yaml_config(config_data)
+        except Exception as e:
+            raise Exception(f"❌ Error occurred while validating the YAML config. Error: {str(e)}")
+
         app_config_data = config_data.get("app", {})
         llm_config_data = config_data.get("llm", {})
         db_config_data = config_data.get("vectordb", {})

+ 6 - 0
embedchain/pipeline.py

@@ -19,6 +19,7 @@ from embedchain.helper.json_serializable import register_deserializable
 from embedchain.llm.base import BaseLlm
 from embedchain.llm.openai import OpenAILlm
 from embedchain.telemetry.posthog import AnonymousTelemetry
+from embedchain.utils import validate_yaml_config
 from embedchain.vectordb.base import BaseVectorDB
 from embedchain.vectordb.chroma import ChromaDB
 
@@ -357,6 +358,11 @@ class Pipeline(EmbedChain):
         with open(yaml_path, "r") as file:
             config_data = yaml.safe_load(file)
 
+        try:
+            validate_yaml_config(config_data)
+        except Exception as e:
+            raise Exception(f"❌ Error occurred while validating the YAML config. Error: {str(e)}")
+
         pipeline_config_data = config_data.get("app", {}).get("config", {})
         db_config_data = config_data.get("vectordb", {})
         embedding_model_config_data = config_data.get("embedding_model", config_data.get("embedder", {}))

+ 73 - 2
embedchain/utils.py

@@ -5,6 +5,8 @@ import re
 import string
 from typing import Any
 
+from schema import Optional, Or, Schema
+
 from embedchain.models.data_type import DataType
 
 
@@ -136,8 +138,7 @@ def detect_datatype(source: Any) -> DataType:
     formatted_source = format_source(str(source), 30)
 
     if url:
-        from langchain.document_loaders.youtube import \
-            ALLOWED_NETLOCK as YOUTUBE_ALLOWED_NETLOCS
+        from langchain.document_loaders.youtube import ALLOWED_NETLOCK as YOUTUBE_ALLOWED_NETLOCS
 
         if url.netloc in YOUTUBE_ALLOWED_NETLOCS:
             logging.debug(f"Source of `{formatted_source}` detected as `youtube_video`.")
@@ -283,3 +284,73 @@ def is_valid_json_string(source: str):
             Check the docs to see the supported formats - `https://docs.embedchain.ai/data-sources/json`"
         )
         return False
+
+
+def validate_yaml_config(config_data):
+    schema = Schema(
+        {
+            Optional("app"): {
+                Optional("config"): {
+                    Optional("id"): str,
+                    Optional("name"): str,
+                    Optional("log_level"): Or("DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"),
+                    Optional("collect_metrics"): bool,
+                    Optional("collection_name"): str,
+                }
+            },
+            Optional("llm"): {
+                Optional("provider"): Or(
+                    "openai",
+                    "azure_openai",
+                    "anthropic",
+                    "huggingface",
+                    "cohere",
+                    "gpt4all",
+                    "jina",
+                    "llama2",
+                    "vertex_ai",
+                ),
+                Optional("config"): {
+                    Optional("model"): str,
+                    Optional("number_documents"): int,
+                    Optional("temperature"): float,
+                    Optional("max_tokens"): int,
+                    Optional("top_p"): Or(float, int),
+                    Optional("stream"): bool,
+                    Optional("template"): str,
+                    Optional("system_prompt"): str,
+                    Optional("deployment_name"): str,
+                    Optional("where"): dict,
+                    Optional("query_type"): str,
+                },
+            },
+            Optional("vectordb"): {
+                Optional("provider"): Or(
+                    "chroma", "elasticsearch", "opensearch", "pinecone", "qdrant", "weaviate", "zilliz"
+                ),
+                Optional("config"): {
+                    Optional("collection_name"): str,
+                    Optional("dir"): str,
+                    Optional("allow_reset"): bool,
+                    Optional("host"): str,
+                    Optional("port"): str,
+                },
+            },
+            Optional("embedder"): {
+                Optional("provider"): Or("openai", "gpt4all", "huggingface", "vertexai"),
+                Optional("config"): {
+                    Optional("model"): Optional(str),
+                    Optional("deployment_name"): Optional(str),
+                },
+            },
+            Optional("embedding_model"): {
+                Optional("provider"): Or("openai", "gpt4all", "huggingface", "vertexai"),
+                Optional("config"): {
+                    Optional("model"): str,
+                    Optional("deployment_name"): str,
+                },
+            },
+        }
+    )
+
+    return schema.validate(config_data)

+ 118 - 15
poetry.lock

@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
 
 [[package]]
 name = "aiofiles"
@@ -323,6 +323,26 @@ description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.8"
 files = [
+    {file = "black-23.9.1-cp310-cp310-macosx_10_16_arm64.whl", hash = "sha256:d6bc09188020c9ac2555a498949401ab35bb6bf76d4e0f8ee251694664df6301"},
+    {file = "black-23.9.1-cp310-cp310-macosx_10_16_universal2.whl", hash = "sha256:13ef033794029b85dfea8032c9d3b92b42b526f1ff4bf13b2182ce4e917f5100"},
+    {file = "black-23.9.1-cp310-cp310-macosx_10_16_x86_64.whl", hash = "sha256:75a2dc41b183d4872d3a500d2b9c9016e67ed95738a3624f4751a0cb4818fe71"},
+    {file = "black-23.9.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:13a2e4a93bb8ca74a749b6974925c27219bb3df4d42fc45e948a5d9feb5122b7"},
+    {file = "black-23.9.1-cp310-cp310-win_amd64.whl", hash = "sha256:adc3e4442eef57f99b5590b245a328aad19c99552e0bdc7f0b04db6656debd80"},
+    {file = "black-23.9.1-cp311-cp311-macosx_10_16_arm64.whl", hash = "sha256:8431445bf62d2a914b541da7ab3e2b4f3bc052d2ccbf157ebad18ea126efb91f"},
+    {file = "black-23.9.1-cp311-cp311-macosx_10_16_universal2.whl", hash = "sha256:8fc1ddcf83f996247505db6b715294eba56ea9372e107fd54963c7553f2b6dfe"},
+    {file = "black-23.9.1-cp311-cp311-macosx_10_16_x86_64.whl", hash = "sha256:7d30ec46de88091e4316b17ae58bbbfc12b2de05e069030f6b747dfc649ad186"},
+    {file = "black-23.9.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:031e8c69f3d3b09e1aa471a926a1eeb0b9071f80b17689a655f7885ac9325a6f"},
+    {file = "black-23.9.1-cp311-cp311-win_amd64.whl", hash = "sha256:538efb451cd50f43aba394e9ec7ad55a37598faae3348d723b59ea8e91616300"},
+    {file = "black-23.9.1-cp38-cp38-macosx_10_16_arm64.whl", hash = "sha256:638619a559280de0c2aa4d76f504891c9860bb8fa214267358f0a20f27c12948"},
+    {file = "black-23.9.1-cp38-cp38-macosx_10_16_universal2.whl", hash = "sha256:a732b82747235e0542c03bf352c126052c0fbc458d8a239a94701175b17d4855"},
+    {file = "black-23.9.1-cp38-cp38-macosx_10_16_x86_64.whl", hash = "sha256:cf3a4d00e4cdb6734b64bf23cd4341421e8953615cba6b3670453737a72ec204"},
+    {file = "black-23.9.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cf99f3de8b3273a8317681d8194ea222f10e0133a24a7548c73ce44ea1679377"},
+    {file = "black-23.9.1-cp38-cp38-win_amd64.whl", hash = "sha256:14f04c990259576acd093871e7e9b14918eb28f1866f91968ff5524293f9c573"},
+    {file = "black-23.9.1-cp39-cp39-macosx_10_16_arm64.whl", hash = "sha256:c619f063c2d68f19b2d7270f4cf3192cb81c9ec5bc5ba02df91471d0b88c4c5c"},
+    {file = "black-23.9.1-cp39-cp39-macosx_10_16_universal2.whl", hash = "sha256:6a3b50e4b93f43b34a9d3ef00d9b6728b4a722c997c99ab09102fd5efdb88325"},
+    {file = "black-23.9.1-cp39-cp39-macosx_10_16_x86_64.whl", hash = "sha256:c46767e8df1b7beefb0899c4a95fb43058fa8500b6db144f4ff3ca38eb2f6393"},
+    {file = "black-23.9.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:50254ebfa56aa46a9fdd5d651f9637485068a1adf42270148cd101cdf56e0ad9"},
+    {file = "black-23.9.1-cp39-cp39-win_amd64.whl", hash = "sha256:403397c033adbc45c2bd41747da1f7fc7eaa44efbee256b53842470d4ac5a70f"},
     {file = "black-23.9.1-py3-none-any.whl", hash = "sha256:6ccd59584cc834b6d127628713e4b6b968e5f79572da66284532525a042549f9"},
     {file = "black-23.9.1.tar.gz", hash = "sha256:24b6b3ff5c6d9ea08a8888f6977eae858e1f340d7260cf56d70a49823236b62d"},
 ]
@@ -849,6 +869,17 @@ humanfriendly = ">=9.1"
 [package.extras]
 cron = ["capturer (>=2.4)"]
 
+[[package]]
+name = "contextlib2"
+version = "21.6.0"
+description = "Backports and enhancements for the contextlib module"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "contextlib2-21.6.0-py2.py3-none-any.whl", hash = "sha256:3fbdb64466afd23abaf6c977627b75b6139a5a3e8ce38405c5b413aed7a0471f"},
+    {file = "contextlib2-21.6.0.tar.gz", hash = "sha256:ab1e2bfe1d01d968e1b7e8d9023bc51ef3509bba217bb730cee3827e1ee82869"},
+]
+
 [[package]]
 name = "contourpy"
 version = "1.1.1"
@@ -1647,12 +1678,12 @@ files = [
 google-auth = ">=2.14.1,<3.0.dev0"
 googleapis-common-protos = ">=1.56.2,<2.0.dev0"
 grpcio = [
-    {version = ">=1.33.2,<2.0dev", optional = true, markers = "extra == \"grpc\""},
     {version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.33.2,<2.0dev", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
 ]
 grpcio-status = [
-    {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "extra == \"grpc\""},
     {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
 ]
 protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0.dev0"
 requests = ">=2.18.0,<3.0.0.dev0"
@@ -1740,8 +1771,8 @@ google-api-core = {version = ">=1.31.5,<2.0.dev0 || >2.3.0,<3.0.0dev", extras =
 google-cloud-core = ">=1.6.0,<3.0.0dev"
 google-resumable-media = ">=0.6.0,<3.0dev"
 grpcio = [
-    {version = ">=1.47.0,<2.0dev", markers = "python_version < \"3.11\""},
     {version = ">=1.49.1,<2.0dev", markers = "python_version >= \"3.11\""},
+    {version = ">=1.47.0,<2.0dev", markers = "python_version < \"3.11\""},
 ]
 packaging = ">=20.0.0"
 proto-plus = ">=1.15.0,<2.0.0dev"
@@ -1792,8 +1823,8 @@ files = [
 google-api-core = {version = ">=1.34.0,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]}
 grpc-google-iam-v1 = ">=0.12.4,<1.0.0dev"
 proto-plus = [
-    {version = ">=1.22.0,<2.0.0dev", markers = "python_version < \"3.11\""},
     {version = ">=1.22.2,<2.0.0dev", markers = "python_version >= \"3.11\""},
+    {version = ">=1.22.0,<2.0.0dev", markers = "python_version < \"3.11\""},
 ]
 protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
 
@@ -1980,7 +2011,7 @@ files = [
     {file = "greenlet-3.0.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:0b72b802496cccbd9b31acea72b6f87e7771ccfd7f7927437d592e5c92ed703c"},
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-    {file = "greenlet-3.0.0-cp311-universal2-macosx_10_9_universal2.whl", hash = "sha256:c3692ecf3fe754c8c0f2c95ff19626584459eab110eaab66413b1e7425cd84e9"},
+    {file = "greenlet-3.0.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:1482fba7fbed96ea7842b5a7fc11d61727e8be75a077e603e8ab49d24e234383"},
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     {file = "greenlet-3.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:73b2f1922a39d5d59cc0e597987300df3396b148a9bd10b76a058a2f2772fc04"},
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@@ -1990,7 +2021,6 @@ files = [
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     {file = "greenlet-3.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:9adbd8ecf097e34ada8efde9b6fec4dd2a903b1e98037adf72d12993a1c80b51"},
-    {file = "greenlet-3.0.0-cp312-universal2-macosx_10_9_universal2.whl", hash = "sha256:553d6fb2324e7f4f0899e5ad2c427a4579ed4873f42124beba763f16032959af"},
     {file = "greenlet-3.0.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c6b5ce7f40f0e2f8b88c28e6691ca6806814157ff05e794cdd161be928550f4c"},
     {file = "greenlet-3.0.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ecf94aa539e97a8411b5ea52fc6ccd8371be9550c4041011a091eb8b3ca1d810"},
     {file = "greenlet-3.0.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:80dcd3c938cbcac986c5c92779db8e8ce51a89a849c135172c88ecbdc8c056b7"},
@@ -3004,6 +3034,16 @@ files = [
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     {file = "MarkupSafe-2.1.3-cp311-cp311-win32.whl", hash = "sha256:dd15ff04ffd7e05ffcb7fe79f1b98041b8ea30ae9234aed2a9168b5797c3effb"},
     {file = "MarkupSafe-2.1.3-cp311-cp311-win_amd64.whl", hash = "sha256:134da1eca9ec0ae528110ccc9e48041e0828d79f24121a1a146161103c76e686"},
+    {file = "MarkupSafe-2.1.3-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:f698de3fd0c4e6972b92290a45bd9b1536bffe8c6759c62471efaa8acb4c37bc"},
+    {file = "MarkupSafe-2.1.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:aa57bd9cf8ae831a362185ee444e15a93ecb2e344c8e52e4d721ea3ab6ef1823"},
+    {file = "MarkupSafe-2.1.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11"},
+    {file = "MarkupSafe-2.1.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47d4f1c5f80fc62fdd7777d0d40a2e9dda0a05883ab11374334f6c4de38adffd"},
+    {file = "MarkupSafe-2.1.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1f67c7038d560d92149c060157d623c542173016c4babc0c1913cca0564b9939"},
+    {file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:9aad3c1755095ce347e26488214ef77e0485a3c34a50c5a5e2471dff60b9dd9c"},
+    {file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:14ff806850827afd6b07a5f32bd917fb7f45b046ba40c57abdb636674a8b559c"},
+    {file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8f9293864fe09b8149f0cc42ce56e3f0e54de883a9de90cd427f191c346eb2e1"},
+    {file = "MarkupSafe-2.1.3-cp312-cp312-win32.whl", hash = "sha256:715d3562f79d540f251b99ebd6d8baa547118974341db04f5ad06d5ea3eb8007"},
+    {file = "MarkupSafe-2.1.3-cp312-cp312-win_amd64.whl", hash = "sha256:1b8dd8c3fd14349433c79fa8abeb573a55fc0fdd769133baac1f5e07abf54aeb"},
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     {file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9402b03f1a1b4dc4c19845e5c749e3ab82d5078d16a2a4c2cd2df62d57bb0707"},
@@ -3768,13 +3808,11 @@ files = [
 
 [package.dependencies]
 numpy = [
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-    {version = ">=1.21.2", markers = "python_version >= \"3.10\""},
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 torch = ["safetensors[numpy]", "torch (>=1.10)"]
 
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 version = "1.3.1"
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 python-versions = ">=3.7"
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+    {file = "SQLAlchemy-2.0.22-cp39-cp39-win32.whl", hash = "sha256:58a3aba1bfb32ae7af68da3f277ed91d9f57620cf7ce651db96636790a78b736"},
+    {file = "SQLAlchemy-2.0.22-cp39-cp39-win_amd64.whl", hash = "sha256:92e512a6af769e4725fa5b25981ba790335d42c5977e94ded07db7d641490a85"},
+    {file = "SQLAlchemy-2.0.22-py3-none-any.whl", hash = "sha256:3076740335e4aaadd7deb3fe6dcb96b3015f1613bd190a4e1634e1b99b02ec86"},
     {file = "SQLAlchemy-2.0.22.tar.gz", hash = "sha256:5434cc601aa17570d79e5377f5fd45ff92f9379e2abed0be5e8c2fba8d353d2b"},
 ]
 
 [package.dependencies]
-greenlet = {version = "!=0.4.17", markers = "platform_machine == \"win32\" or platform_machine == \"WIN32\" or platform_machine == \"AMD64\" or platform_machine == \"amd64\" or platform_machine == \"x86_64\" or platform_machine == \"ppc64le\" or platform_machine == \"aarch64\""}
+greenlet = {version = "!=0.4.17", markers = "platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\""}
 typing-extensions = ">=4.2.0"
 
 [package.extras]

+ 1 - 0
pyproject.toml

@@ -128,6 +128,7 @@ huggingface_hub = { version = "^0.17.3", optional = true }
 pymilvus = { version = "2.3.1", optional = true }
 google-cloud-aiplatform = { version = "^1.26.1", optional = true }
 replicate = { version = "^0.15.4", optional = true }
+schema = "^0.7.5"
 
 [tool.poetry.group.dev.dependencies]
 black = "^23.3.0"