migrate langchain to oplangchain with test

.gitignore

@@ -14,4 +14,5 @@ envOpenplugin
 
 log.txt
 node_modules
-package-lock.json
+package-lock.json
+logs

npm-core/openplugincore/src/index.ts

@@ -4,4 +4,4 @@ export { OpenPluginMemo } from './openpluginMemo';
 
 // under utils export openaiModelsInfo
 export { openaiModelsInfo } from './util/constants';
-export { estimateTokens } from './util/prompting';
+export { estimateTokens } from './util/prompting';

pypi-core/openplugincore/openplugin.py

@@ -6,13 +6,13 @@
 from .types import ChatgptAssistantMessage, ChatgptFunctionMessage, PluginConfigs
 from .utils.constants import openai_models_info
 from .utils.prompting import estimate_tokens, tokens_to_chars, truncate_json_root
-from langchain.chains.openai_functions.openapi import openapi_spec_to_openai_fn
-from langchain.utilities.openapi import OpenAPISpec
-from langchain.output_parsers.openai_functions import JsonOutputFunctionsParser
-from langchain.prompts import ChatPromptTemplate
-from langchain.chat_models import ChatOpenAI
-from langchain.schema import HumanMessage, AIMessage, SystemMessage, FunctionMessage
-from langchain import LLMChain
+from oplangchain.chains.openai_functions.openapi import openapi_spec_to_openai_fn
+from oplangchain.utilities.openapi import OpenAPISpec
+from oplangchain.output_parsers.openai_functions import JsonOutputFunctionsParser
+from oplangchain.prompts import ChatPromptTemplate
+from oplangchain.chat_models import ChatOpenAI
+from oplangchain.schema import HumanMessage, AIMessage, SystemMessage, FunctionMessage
+from oplangchain import LLMChain
 import openai
 from dotenv import load_dotenv
 load_dotenv()

pypi-core/setup.py

@@ -4,7 +4,7 @@
 setup(
        # the name must match the folder name 'verysimplemodule'
         name='openplugincore', 
-        version="0.6.2",
+        version="0.6.3",
         author="Sebastian Sosa",
         author_email="[email protected]",
         description='Seamlessly integrate with OpenAI ChatGPT plugins via API (or client), offering the same powerful functionality as the ChatGPT api + plugins!',
@@ -17,7 +17,7 @@
         install_requires=[
             'requests',
             'openai',
-            'langchain',
+            'oplangchain',
             'python-dotenv',
         ], # add any additional packages
 

pypi-core/tests/test_e2e.py

@@ -182,6 +182,7 @@ def test_initiate_and_fetch_scholarai():
     # Replace the line below with a test for the final output in json_content
     assert isinstance(json_content["total_num_results"], int)
 
+@pytest.mark.skip(reason="Not whitelisted")
 def test_initiate_and_fetch_rephrase():
     plugin = OpenPlugin("rephrase")
     assert plugin.manifest is not None
@@ -303,6 +304,28 @@ def test_initiate_and_fetch_Ai_PDF():
     # Replace the line below with a test for the final output in json_content
     assert isinstance(json_content[0], str)
 
+def test_initiate_and_fetch_askyourpdf():
+    plugin = OpenPlugin("askyourpdf", verbose=True)
+    assert plugin.manifest is not None
+
+    chatgpt_prompt = 'summarize this pdf https://eforms.com/download/2018/01/Non-Disclosure-Agreement-Template.pdf'
+    response = plugin.fetch_plugin(
+        messages=[
+            {
+                "role": "user",
+                "content": chatgpt_prompt
+            }
+        ],
+        model="gpt-3.5-turbo-0613",
+        temperature=0,
+    )
+
+    assert response is not None
+    assert response["role"] == "function"
+    json_content = json.loads(response["content"])
+
+    assert len(json_content["summary"]) > 0
+
 """
 TEMPLATE for testing a new plugin
 0. test the plugin with a prompt in ChatGPT